LEMBAR
HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING
Judul Karya Ilmiah : Indonesia Stock Exchange Securities Buy/ Sell Signal Detection using Bollinger Bands and Williams Percent Range
Jumlah Penulis : 3 Orang (Ike Pertiwi Windasari, Agung Budi Prasetijo, Reza Pahlevi Pangabean) Status Pengusul : Penulis ke-2
Identitas Prosiding : a. Judul Prosiding : 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
b. ISBN/ISSN : 978-1-5386-7422-2
c. Thn Terbit, Tempat Pelaks. : 2018, Yogyakarta, Indonesia d. Penerbit/Organiser : IEEE Xplore Digital Library
e. Alamat Repository/Web : https://ieeexplore.ieee.org/abstract/document/886
Komponen Yang Dinilai
Nilai Reviewer
Nilai Rata- rata Reviewer I Reviewer II
a. Kelengkapan unsur isi prosiding (10%) 2,10 2,20 2,15
b. Ruang lingkup dan kedalaman pembahasan (30%) 7,10 7,20 7,15
c. Kecukupan dan kemutahiran data/informasi dan
metodologi (30%) 6,90 7,10 7,00
d. Kelengkapan unsur dan kualitas terbitan/prosiding(30%) 7,20 7,30 7,25
Total = (100%) 23,30 23,80 23,55
Nilai Pengusul = (40% x 23,55 ) / 2 = 4,71
Semarang, 15 Juli 2021 Reviewer 2
Dr. Adian Fatchur Rochim, S.T., M.T.
NIP. 197302261998021001
Unit : Dept. Teknik Komputer FT UNDIP
Reviewer 1
Dr. Ir. R. Rizal Isnanto, S.T., M.M., M.T., IPM NIP. 197007272000121001
Unit : Dept. Teknik Komputer FT UNDIP 4452 Alamat Artikel : http://doc-pak.undip.ac.id/7116/1/
windasari2018.pdf
f. Terindeks di (jika ada) : Scopus
Kategori Publikasi Makalah : √ Prosiding Forum Ilmiah Internasional
(beri pada kategori yang tepat) Prosiding Forum Ilmiah Nasional
Hasil Penilaian Peer Review :
LEMBAR
HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING
Judul Karya Ilmiah : Indonesia Stock Exchange Securities Buy/ Sell Signal Detection using Bollinger Bands and Williams Percent Range
Jumlah Penulis : 3 Orang (Ike Pertiwi Windasari, Agung Budi Prasetijo, Reza Pahlevi Pangabean) Status Pengusul : Penulis ke-2
Identitas Prosiding : a. Judul Prosiding : 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
b. ISBN/ISSN : 978-1-5386-7422-2
c. Thn Terbit, Tempat Pelaks. : 2018, Yogyakarta, Indonesia d. Penerbit/Organiser : IEEE Xplore Digital Library
e. Alamat Repository/Web : https://ieeexplore.ieee.org/abstract/document/886
windasari.pdf f. Terindeks di (jika ada) : Scopus Kategori Publikasi Makalah : √ Prosiding Forum Ilmiah Internasional (beri pada kategori yang tepat) Prosiding Forum Ilmiah Nasional
Hasil Penilaian Peer Review : Komponen Yang Dinilai
Nilai Maksimal Prosiding Nilai Akhir Yang Diperoleh Internasional
Nasional
a. Kelengkapan unsur isi prosiding (10%) 2,50 2,10
b. Ruang lingkup dan kedalaman pembahasan (30%)
7,50 7,10
c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)
7,50 6,90
d. Kelengkapan unsur dan kualitas terbitan/prosiding(30%)
7,50 7,20
Total = (100%) 25,00 23,30
Nilai Pengusul = (40% x 23,30)/2 = 4,66 Catatan Penilaian Paper oleh Reviewer :
1. Kesesuaian dan kelengkapan unsur isi prosiding:
Isi Prosiding ISRIT I 2018 sudah cukup lengkap, paper-paper yang diterbitkan dalam prosiding ini juga sesuai dengan cakupan topik dari prosiding ini. T echnical Program Committee dan Presentation Schedule telah sesuai, serta layak disebut sebagai prosiding internasional terindeks Scopus dan IEEE Xplore.
2. Ruang lingkup dan kedalaman pembahasan:
Ruang lingkup adalah membahas tentang deteksi sinyal jual/beli Indonesia Stock Exchange Securities menggunakan Bollinger Bands dan Williams Percent Range. Pada bagian Discussion dan Conclusion telah dilakukan cukup mendalam dan terperinci.
T ingkat kemiripan menggunakan T urnitin dari paper cukup bagus yaitu 14%
3. Kecukupan dan kemutakhiran data/informasi dan metodologi:
Data/informasi yang disajikan cukup mutakhir, terdapat 9 referensi yang digunakan yang berasal dari buku teks, skripsi, dan ada referensi dengan penerbit yang kurang jelas. Referensi cukup mutakhir dari tahun -tahun terakhir. Metodologi telah disajikan secara lengkap dan penyajiannya cukup mudah dipahami.
4. Kelengkapan unsur dan kualitas terbitan:
Kualitas terbitan cukup bagus untuk kategori prosiding tercetak. Unsur terbitan dari prosiding sudah sesuai dengan kaidah yang biasa ditemukan dalam prosiding internasional.
Semarang, 15 Juli 2021 Reviewer 1
Dr. Ir. R. Rizal Isnanto, S.T., M.M., M.T., IPM NIP. 197007272000121001
Unit : Dept. Teknik Komputer FT UNDIP 25
4452
Alamat Artikel : http://doc-pak.undip.ac.id/7041/1/p633-
LEMBAR
HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING
Judul Karya Ilmiah : Indonesia Stock Exchange Securities Buy/ Sell Signal Detection using Bollinger Bands and Williams Percent Range
Jumlah Penulis : 3 Orang (Ike Pertiwi Windasari, Agung Budi Prasetijo, Reza Pahlevi Pangabean) Status Pengusul : Penulis ke-2
Identitas Prosiding : a. Judul Prosiding : 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
b. ISBN/ISSN : 978-1-5386-7422-2
c. Thn Terbit, Tempat Pelaks. : 2018, Yogyakarta, Indonesia d. Penerbit/Organiser : IEEE Xplore Digital Library
e. Alamat Repository/Web : https://ieeexplore.ieee.org/abstract/document/886 4452
Alamat Artikel : http://doc-pak.undip.ac.id/7041/1/p633- windasari.pdf
f. Terindeks di (jika ada) : Scopus Kategori Publikasi Makalah : √ Prosiding Forum Ilmiah Internasional (beri pada kategori yang tepat) Prosiding Forum Ilmiah Nasional Hasil Penilaian Peer Review :
Komponen Yang Dinilai
Nilai Maksimal Prosiding
Nilai Akhir Yang Diperoleh Internasional
Nasional
a. Kelengkapan unsur isi prosiding (10%) 2,50 2,20
b. Ruang lingkup dan kedalaman pembahasan (30%)
7,50 7,20
c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)
7,50 7,10
d. Kelengkapan unsur dan kualitas terbitan/prosiding(30%)
7,50 7,30
Total = (100%) 25,00 23,80
Nilai Pengusul = (40% x 23,80 )/2 = 4,76 Catatan Penilaian Paper oleh Reviewer :
1. Kesesuaian dan kelengkapan unsur isi paper:
Unsur makalah lengkap dengan mengambil masalah tentang maksimalisasi profit pada jual/beli saham sangat relevan (aktual).
Metodologi disampaikan dengan jelas, menggunakan sejumlah indikator teknikal serta algoritma tertentu. Hasil dan diskusi disampaikan dengan baik, ditutup dengan kesimpulan hasil riset .
2. Ruang lingkup dan kedalaman pembahasan:
Ruang lingkup sesuai dengan scope konferensi. Pembahasan cukup dalam dengan mengambil sejumlah data analisis teknikal dan data transaksi sejumlah saham, penerapan 3 strategi memberikan data yang cukup banyak sehingga menambah memberikan kontribusi cukup signifikan.
3. Kecukupan dan kemutakhiran data/informasi dan metodologi:
Literatur cukup baru. Data menggunakan transaksi baru, diambil dari Agustus 2017 hingga Agustus 2018. Metodologi dengan menerapkan 3 strategi trading berbeda memberikan gambaran kinerja (profit) untuk sejumlah saham disampaikan dengan jelas.
4. Kelengkapan unsur dan kualitas terbitan:
Kualitas terbitan standar IEEE cukup baik. Jumlah negara baik editor maupun peserta konferensi memadai, serta terbitan terindeks Scopus.
Semarang, 15 Juli 2021 Reviewer 2
Dr. Adian Fatchur Rochim, S.T., M.T.
NIP. 197302261998021001
Unit : Dept. Teknik Komputer FT UNDIP
25
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International Seminar on Research of Information Technology and Intelligent Systems, ISRITI , November - NovemberIndonesia stock exchange securities buy/sell signal detection using bollinger bands and williams
percent range
Windasari I.P.
,
Prasetijo A.B.,
Pangabean R.P.Save all to author list
Department of Computer Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia
Abstract Author keywords Indexed keywords SciVal Topics
Abstract
For stock investor, it is important to be able to predict future stock prices to find out the possible gains or losses obtained. In the world of stock investment, stock price prediction is applied with two approaches, namely analysis and fundamental analysis. This detection application system was developed using a technical analysis approach.Technical analysis is a method used to observe price fluctuations in a certain time span by utilizing historical data using indicators. Bollinger Bands and Williams Percent Range are indicator used in this study to provide information on the movement of a stock by observing a particular pattern of patterns used as a basis for buying or selling. The data used in this study is six companies whose shares are listed as LQ45 in Indonesia Stock Exchanges. The results show that the combination of indicators over a period of one year can provide the greatest benefit, namely by 80.20% in Aneka Tambang shares and the average performance of a total of 6 shares is 10.72% using strategy 1, an Exit Bollinger with confirmation by Williams Percent Range. © 2018 IEEE.
Author keywords
Bollinger Bands; Indonesia Stock Exchange; LQ45; William Percent Range
Indexed keywords
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Buy/sell signal detection in stock trading with bollinger bands and parabolic SAR: With web application for proofing trading strategy
Prasetijo, A.B. Saputro, T.A.
Windasari, I.P.
Legal aspect of capital market financing (through initial public offering) for micro, small, and middle scale business in Indonesia
Rahmawati, E. Mantili, R.
Reforming finance in transitional socialist economies
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Yogyakarta-Indonesia, 21-22 November 2018 International Seminar on Research of
Information Technology and Intelligent Systems 2018
"Opportunities and Trends on The Decentralized System
& Future of Internet”
www.isriti.akakom.ac.id
ISRITI2018 proceeding
7/22/2021 IEEE Conference ISRITI 2018 - Opportunities and Trends on The Decentralized Systems and Future of the Internet - STMIK Akakom Yo…
https://www.akakom.ac.id/site/news/472/ieee-conference-isriti-2018---opportunities-and-trends-on-the-decentralized-systems-and-future-of-the-internet 2/6
(https://www.akakom.ac.id/___files/39201_1542992400_media472.jpg)
IEEE Conference ISRITI 2018 - Opportunities and Trends on The Decentralized Systems and Future of the Internet
Sabtu, 24 Nopember 2018
Tahun ini, STMIK AKAKOM Yogyakarta telah menyelenggarakan Seminar 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (https://edas.info/web/isriti2018/program.html). Seminar ini berlangsung dari 21-22 November 2018 di Grand Zuri Malioboro Hotel, Yogyakarta, Indonesia. Tujuan dari seminar ini adalah untuk menyediakan platform bagi para akademisi, praktisi, peneliti, dan pemerintah untuk mengidentifikasi dan mengeksplorasi isu, peluang, dan solusi yang mempromosikan teknologi informasi dan konvergensi sistem cerdas, perkembangan dan menemukan bisnis baru, teknologi, dan nilai kemasyarakatan dari teknologi informasi dan sistem cerdas.
Dalam ISRITI 2018 dengan tema Opportunities and Trends on The Decentralized Systems and Future of the Internet dibuka
oleh Ketua STMIK AKAKOM (http://akakom.ac.id), Bapak Ir. Totok Suprawoto, M.M., M.T., dan Pemprov Yogyakarta yang
diwakili oleh Staf Ahli Bidang Ekonomi dan Pembangunan, Bapak Muji Raharjo,S.H., M.Hum. Acara ini juga dibuka oleh
Chairman ISRITI 2018 (http://isriti.akakom.ac.id), Bapak Edy Prayitno S.Kom., M.Eng. Seminar ini menghadirkan keynote
speakers dari luar dan dalam negeri yaitu Prof. Chuan-Ming Liu, Ph.D (Department of Computer Science and Information
Engineering, National Taipei University of Technology (NTUT), Taiwan) dan Dr. Bambang Purnomosidi D.P. (Distributed and
Decentralized Research Group STMIK AKAKOM dan CEO PT. Wabi Teknologi (https://kamiwabi.id/)).
Steering Committee
Bambang Purnomosidi Dwi Putranto (STMIK AKAKOM Yogyakarta, Indonesia) Totok Suprawoto (STMIK AKAKOM Yogyakarta, Indonesia)
Suryono Suryono (STMIK AKAKOM Yogyakarta, Indonesia)
Organizing Committee
General Chairman
Edy Prayitno (STMIK AKAKOM Yogyakarta, Indonesia)
Co-Chair
Muhammad Agung Nugroho (STMIK AKAKOM Yogyakarta, Indonesia)
Secretary
Deborah Kurniawati (STMIK AKAKOM Yogyakarta, Indonesia)
Treasurer
Dini Fakta Sari (STMIK AKAKOM Yogyakarta, Indonesia)
Member
Indra Yatini Buryadi (STMIK AKAKOM Yogyakarta, Indonesia) Muhammad Guntara (STMIK AKAKOM Yogyakarta, Indonesia) Adi Kusjani (STMIK AKAKOM Yogyakarta, Indonesia) Dara Kusumawati (STMIK AKAKOM Yogyakarta, Indonesia) Fx. Henry Nugroho (STMIK AKAKOM Yogyakarta, Indonesia) Heru Agus Triyanto (STMIK AKAKOM Yogyakarta, Indonesia)
Technical Committee
Widyastuti Andriyani (STMIK AKAKOM & Indonesia, Indonesia) Pius Dian Widi Anggoro (STMIK AKAKOM Yogyakarta, Indonesia) Ilham Rais Arvianto (STMIK AKAKOM Yogyakarta, Indonesia) Femi Dwi Astuti (STMIK AKAKOM Yogyakarta, Indonesia) Totok Budioko (STMIK AKAKOM, Indonesia)
Robby Cokro Buwono (STMIK AKAKOM Yogyakarta, Indonesia) Edi Faizal (STMIK AKAKOM Yogyakarta, Indonesia)
Lucia Nugraheni Harnaningrum (STMIK AKAKOM Yogyakarta, Indonesia) Edi Iskandar (STMIK AKAKOM Yogyakarta, Indonesia)
Danny Kriestanto (STMIK AKAKOM Yogyakarta, Indonesia) Domy Kristomo (STMIK AKAKOM Yogyakarta, Indonesia) Maria Mediatrix (STMIK AKAKOM, Indonesia)
Esa Prakasa (Indonesian Institute of Sciences, Indonesia) Luthfan Hadi Pramono (STMIK AKAKOM Yogyakarta, Indonesia)
Sri Redjeki (STMIK AKAKOM Yogyakarta, Indonesia & University Selangor (UNISEL), Malaysia) Siska Lidya Revianti (STMIK AKAKOM Yogyakarta, Indonesia)
Sumiyatun Sumiyatun (STMIK AKAKOM, Indonesia) Pulut Suryati (STMIK AKAKOM Yogyakarta, Indonesia) Wagito Wagito (STMIK AKAKOM Yogyakarta, Indonesia) Endang Wahyuningsih (STMIK AKAKOM Yogyakarta, Indonesia)
22
Technical Program Committee
Mohd Helmy Abd Wahab Universiti Tun Hussein Onn Malaysia Malaysia
Marzanah Abdul Jabar Universiti Putra Malaysia Malaysia
Azizi Abdullah Universiti Kebangsaan Malaysia Malaysia
Rusli Abdullah Universiti Putra Malaysia Malaysia
Asrul Adam Universiti Malaysia Pahang Malaysia
Naveen Aggarwal Panjab University India
Jitendra Agrawal Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal India
David Agustriawan Indonesia International Institute for Life Sciences Indonesia
Hamzah Ahmad University Malaysia Pahang Malaysia
Ibrahim Ahmad Universiti Teknikal Malaysia Melaka Malaysia
Mohd Khairul Ikhwan Ahmad Universiti Tun Hussein Onn Malaysia Malaysia
Farid Ahmadi Universitas negeri semarang Indonesia
Kaveh Ahmadi University of Toledo USA
Muhammad AhmadTajuddin Universiti Kebangsaan Malaysia Malaysia
Ali Qusay Al-Faris University of the People USA
Baba Alhaji Nigerian Defence Academy Niger
Belal Alshaqaqi University of Science and Technology of Oran Algeria
Anas Alsobeh Yarmouk University Jordan
Widyastuti Andriyani STMIK AKAKOM Indonesia
Pius Dian Widi Anggoro STMIK AKAKOM Yogyakarta Indonesia
Gunawan Ariyanto Universitas Muhammadiyah Surakarta Indonesia
Ilham Rais Arvianto STMIK AKAKOM Yogyakarta Indonesia
Arti Arya PESIT-Bangalore South Campus India
Femi Dwi Astuti STMIK AKAKOM Yogyakarta Indonesia
Suryanti Awang Universiti Malaysia Pahang Malaysia
Azreen Azman Universiti Putra Malaysia Malaysia
Aslina Baharum Universiti Malaysia Sabah Malaysia
Vinayak Bairagi University of Pune India
11
Shanmugam Balamurugan Mindnotix Software Solutions India
Halizah Basiron Universiti Teknikal Malaysia Melaka Malaysia
I Putu Agung Bayupati Udayana University Indonesia
Wala Ben Messaoud High Institute of IT Tunisia
Rajendra Boppana University of Texas at San Antonio USA
Indra Budi Faculty of Computer Science Indonesia
Totok Budioko STMIK AKAKOM Indonesia
Indra Yatini Buryadi STMIK AKAKOM Yogyakarta Indonesia
Robby Cokro Buwono STMIK AKAKOM Yogyakarta Indonesia
Selem Charfi HD Technology France
Hsing-Chung Chen ASIA University Taiwan
Mu-Song Chen Electrical Engineering, Da-Yeh University Taiwan
Tai-Chen Chen MAXEDA Technology Taiwan
Wichian Chutimaskul King Mongkut's University of Technology Thonburi Thailand
Domenico Ciuonzo Network Measurement and Monitoring (NM2), Naples, IT Italy
Akhmad Dahlan Universitas Amikom Yogyakarta Indonesia
Ariesta Damayanti STMIK Akakom Yogyakarta Indonesia
Alban Duverdier Centre National D'Etudes Spatiales (CNES) France
Mohamed Elwekeil Faculty of Electronic Engineering, Menoufia University Egypt
Seyed Ebrahim Esmaeili American University of Kuwait Kuwait
Edi Faizal STMIK AKAKOM Yogyakarta Indonesia
Ahmad Fajar Bina Nusantara University Indonesia
Ridi Ferdiana Universitas Gadjah Mada Indonesia
Gianluigi Ferrari University of Parma Italy
Dhomas Hatta Fudholi Universitas Islam Indonesia Indonesia
Alireza Ghasempour ICT Faculty USA
Razvan Andrei Gheorghiu Politehnica University of Bucharest Romania
Paulo Gil Universidade Nova de Lisboa Portugal
Muhammad Guntara STMIK AKAKOM Yogyakarta Indonesia
12
Ibnu Hadi Purwanto Universitas AMIKOM Yogyakarta Indonesia
Rostam Affendi Hamzah Universiti Teknikal Malaysia Melaka Malaysia
Seng Hansun Universitas Multimedia Nusantara Indonesia
Manik Hapsara University of New South Wales at ADFA Australia
Lucia Nugraheni Harnaningrum STMIK AKAKOM Yogyakarta Indonesia
Sa'adah Hassan Universiti Putra Malaysia Malaysia
Leonel Hernandez ITSA University Colombia
Roberto Carlos Herrera Lara National Polytechnic School Ecuador
Danial Hooshyar Korea University Korea
Paramate Horkaew Suranaree University of Technology Thailand
Muhamad Iqbal Universitas Mataram Indonesia
Edi Iskandar STMIK AKAKOM Yogyakarta Indonesia
Nurulisma Ismail Universiti Malaysia Perlis Malaysia
Ramkumar Jaganathan VLB Janakiammal College of Arts and Science India
Arihant Jain Jaipur Engineering College & Research Centre India
Muhammad Herman Jamaluddin Universiti Teknikal Malaysia Melaka Malaysia
Arun Jana Centre for Development Advanced Computing India
Biao Jiang The City University of New York USA
Milad Johnny Sharif University of Technology Iran
Shaidah Jusoh Princess Sumaya Technology for University Jordan
Hasan Kahtan Universiti Malaysia Pahang Malaysia
Dimitrios Kallergis University of Piraeus Greece
Hiroshi Kamabe Gifu University Japan
Sokratis Katsikas Norwegian University of Science and Technology Norway
Mohammad Khalily Dermany Islamic Azad University, Khomein Branch Iran
Zaheer Khan Lecturer, Khana-E-Noor University Afghanistan
Hasan Ali Khattak COMSATS University, Islamabad Pakistan
Praveen Khethavath LaGuardia Community College USA
Chin Kim On Universiti Malaysia Sabah Malaysia
13
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Parallel Session 1-B
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Ignatius Moses Setiadi (Dian Nuswantoro University, Indonesia), Eko Hari Rachmawanto (Dian Nuswantoro University, Indonesia) 5 An Effective MRI Brain Image Segmentation using Joint Clustering (K-Means and Fuzzy C-Means)
Mustofa Alisahid Almahfud (Dian Nuswantoro University, Indonesia), Robert Setyawan (Dian Nuswantoro University, Indonesia), Christy Atika Sari (Dian Nuswantoro University, Indonesia), De Rosal Ignatius Moses Setiadi (Dian Nuswantoro University, Indonesia), Eko Hari
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Sucianna Ghadati Rabiha (Bina Nusantara University, Indonesia), Aditya Kurniawan (Bina Nusantara University, Indonesia), Jurike Moniaga (Bina Nusantara University, Indonesia), Daud Wahyudi (Bina Nusantara University, Indonesia), Eric Wilson (Bina Nusantara University,
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A Survey: Effect of the Number of GLCM Features on Classification Accuracy of Lasem Batik Images using K-Nearest Neighbor
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Determine The Winner of The Construction Tender in Central Kalimantan Using Analysis Network Process (Case Study: LPSE Central Kalimantan)
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Indonesia), Albertus Joko Santoso (Universitas Atma Jaya Yogyakarta, Indonesia) 49
Multi-Method Approach for Visual Detection to Improve M-Banking Application Among Students in Yogyakarta
Abdul M Saleh (Universitas Atma Jaya Yogyakarta, Indonesia), Elika Thea Kirana (Universitas Atma Jaya Yogyakarta, Indonesia), Djoko
Budiyanto Setyohadi (Universitas Atma Jaya Yogyakarta, Indonesia) 55
The Consistency of Using Failure Mode Effect Analysis (FMEA) on Risk Assessment of Information Technology
Apol Pribadi Subriadi (Institut Teknologi Sepuluh Nopember, Indonesia), Nina Najwa (Institut Teknologi Sepuluh Nopember, Indonesia),
Brigitta Cahyabuana (Institut Teknologi Sepuluh Nopember, Indonesia) 61
The Need to Critical Review of Function Point Analysis
Anggi Yhurinda Perdana Putri (Institute Technology of Sepuluh Nopember, Indonesia), Apol Pribadi Subriadi (Institut Teknologi Sepuluh
Nopember, Indonesia) 67
Development of Knowledge Management Application for Agricultural Indramayu
I Zahra (University of Cumputer, Indonesia) 72
Landslide Risk Mapping in East Java, Indonesia, Using Analytic Hierarchy Process - Natural Breaks Classification
Arif Basofi (Politeknik Elektronika Negeri Surabaya, Indonesia), Arna Fariza (Politeknik Elektronika Negeri Surabaya, Indonesia), Erika Safitri
(Politeknik Elektronika Negeri Surabaya, Indonesia) 77
Optimizing Outlier in K-Means Clustering Using Simulated Annealing Algorithm
Dion Christian (Jenderal Achmad Yani University, Indonesia), Yulison Chrisnanto (Jenderal Achmad Yani University, Indonesia), Asri
Maspupah (Universitas Jenderal Ahmad Yani, Indonesia) 83
The Success Factors in Implementation of The E-Government Master Plan
Afifah Nurul Izzati (Institut Teknologi Sepuluh Nopember, Indonesia), Tony Dwi Susanto (ITS, Indonesia) 87
3
Parallel Session 2-B
Parallel Session 2-C
Analysis And Design Of Online Exam System At School Using Unified Model
Ramadhan Rakhmat Sani (Universitas Dian Nuswantoro, Indonesia, Indonesia), Defri Kurniawan (Universitas Dian Nuwantoro, Indonesia) 198 The Comparison Analysis of Estimation Effort Among Software Development Using Function Point Method
Apol Pribadi Subriadi (Institut Teknologi Sepuluh Nopember, Indonesia) 204
Modeling flexibility on internal quality assurance system business process
Yulherniwati Yulherniwati (Politeknik Negeri Padang & Universitas Negeri Padang, Indonesia) 210 Big Data Architecture for Indonesia Online Travel Agent based on Cloud Computing
Aldian Nurcahyo (Bina Nusantara University, Indonesia), Sfenrianto Sfenrianto (Bina Nusntara University, Indonesia), Ahmad Nurul Fajar (Bina Nusantara University, Indonesia), Septia Sriratnasari (Bina Nusantara University, Indonesia), Azmi Guntoro (Bina Nusantara University,
Indonesia) 215
Effect Of Education, Performance, Position And Information Technology Competency Of Information Systems To Performance Of Information System
Nia Komalasari (Universitas Islam Syekh Yusuf (UNIS), Indonesia), Dina Fitria Murad, DFM (Bina Nusantara University, Indonesia) 221 Information Technology Governance For Smart Village in Indonesia
Endi Putro (Krida Wacana Christian University, Indonesia), Yudhi Windarto (Krida Wacana Christian University, Indonesia) 227 Data Quality Assessment on Higher Education: A Case Study of Institute of Statistics
Wiluyaningtyas Wijayanti (University of Indonesia, Indonesia), Achmad Hidayanto (University of Indonesia, Indonesia), Nori Wilantika (University of Indonesia, Indonesia), Infaz Adawati (University of Indonesia, Indonesia), Satrio B Yudhoatmojo (Universitas Indonesia,
Indonesia) 231
Exploring Factors Influence Behavioral Intention to Use E-Government Services Using Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)
Ruci Meiyanti (Mercu Buana University & Universitas Indonesia, Indonesia), Syamsudin S (Universitas Indonesia, Indonesia), Dana Sensuse (Laboratory of E-Government, Indonesia), Rinda Wahyuni (Universitas Indonesia, Indonesia) 237 Error Message Quality of Web Form: Assessment on Existing Parameters
Briansyah Wiyono (Institut Teknologi Sepuluh Nopember, Indonesia), Siti Rochimah (Institut Teknologi Sepuluh Nopember, Indonesia) 243 The Components of Smart City Initiative: A Literature Review
Ruci Meiyanti (Mercu Buana University & Universitas Indonesia, Indonesia) 249
An Investigation of Factors Affecting the Success of Regional Financial Management Information System (Case Study of Palangka Raya Government)
Ressa Priskila (Universitas Atma Jaya Yogyakarta, Indonesia), Djoko Budiyanto Setyohadi (Universitas Atma Jaya Yogyakarta, Indonesia),
Albertus Joko Santoso (Universitas Atma Jaya Yogyakarta, Indonesia) 253
Analysis Distribution Traders and Population Density in Dharmasraya District of West Sumatera Province Using Exploratory Spatial Data Analysis
Boffin Kharsananda (Universitas Gadjah Mada, Indonesia), Adhistya Erna Permanasari (Universitas Gadjah Mada, Indonesia), Silmi Fauziati
(Universitas Gadjah Mada, Indonesia) 259
Design and Implementation Educational Games E-Learning Using Learning Experience Design (LXD) Towards Student Learning Experience
Ashri Dinimaharawati (Telkom University & Institut Teknologi Bandung, Indonesia) 265
E-learning Governance of Universitas Negeri Malang Using Cobit 4.1 Through Deliver and Support Domain
Wahyu Nur Hidayat (Universitas Negeri Malang, Indonesia), Syaad Patmanthara (Universitas Negeri Malang, Indonesia), Mukhamad Angga Gumilang (Universitas Gadjah Mada, Indonesia), Eddy Sutadji (Universitas Negeri Malang, Indonesia) 271 Hybrid Method of Undersampling AND Oversampling for Handling Imbalanced Dataset
Shabrina Choirunnisa (Institute of Technology Sepuluh Nopember, Indonesia), Joko Buliali (Institut Teknologi Sepuluh Nopember, Indonesia) 276 Exploiting Malay Corpus On Islamic Issue using Sketch Engine
Roziyani Setik (University Selangor, Malaysia), Raja Mohd Tariqi Raja Lope Ahmad (University Kebangsaan Malaysia, Malaysia), Suziyanti Marjudi, Dr (Universiti Selangor & Faculty of Communication, Visual Art and Computing, Malaysia), Azhar Hamid (Universiti Selangor, Malaysia), Zuraidy Adnan (Universiti Selangor, Malaysia), Wan Azlan Wan Hassan (Universiti Selangor, Malaysia), Wan Basri Wan Ismail
(Jalan Timur Tamabahan, Bestari Jaya Selangor Malaysia & University of Selangor, Malaysia) 281 The effect of embedding dimension reduction on increasing LSTM performance for Sentiment Analysis
Widi Widayat (Gadjah Mada University, Indonesia), Teguh Bharata Adji (Universitas Gadjah Mada, Indonesia), Widy Widyawan (Gadjah
Mada University, Indonesia) 287
Student Satisfaction on E-learning Website Sasmoko.com
Emny Yossy (Universitas Bina Nusantara, Indonesia), Dwi Kusumastuti (Bina Nusantara University, Indonesia), Andi Wiliam (STMIK Kuwera, Indonesia), Mukhneri Mukhneri (Universitas Negeri Jakarta, Indonesia), Sasmoko Sasmoko (Bina Nusantara University, Indonesia), Yasinta
Indrianti (Research Interest Group in Educational Technology Bina Nusantara University, Indonesia) 293
5
Parallel Session 2-D
Parallel Session 3-A
Parallel Session 3-B
Institutional Evaluation System with Data Analytics: Input to Continuous Quality Improvement
Jonalyn Joy Labayne (Technological Institute of the Philippines, Philippines) 299
Random Subspace Method for Sleep Stage Classification of Autism Patients
Intan Nurma Yulita (Universitas Indonesia & Universitas Padjadjaran, Indonesia), Ivan Fanany (Fakultas Ilmu Komputer, Universitas
Indonesia, Indonesia), Aniati M. Arymurthy (University of Indonesia, Indonesia) 305
Analysis of Tuberculosis Cases in Indonesian by Using K-means Clustering Technique
Prihandoko Prihandoko (University of Gunadarma, Indonesia), Bertalya Bertalya (University of Gunadarma, Indonesia), Lilis Setyowati
(Universitas Gunadarma, Indonesia) 310
MADM Model For Evaluation of Non-Permanent Teacher Performance Using Fuzzy AHP and TOPSIS Methods
Sunardi Sunardi (Universitas Atma Jaya Yogyakarta, Indonesia) 316
Measuring Hybrid SC-FCM Clustering with Cluster Validity Index
Victor Utomo (Universitas Semarang, Indonesia), Dhendra Marutho (Universitas Dian Nuwantoro, Indonesia) 322 Consumer Segmentation Using Case Base Reasoning Approach To Printing Company
Sucianna Ghadati Rabiha (Bina Nusantara University, Indonesia), Imanuel Murmanto (Bina Nusantara University, Indonesia), Sasmoko Sasmoko (Bina Nusantara University, Indonesia), Emny Yossy (Universitas Bina Nusantara, Indonesia), Dwi Kusumastuti (Bina Nusantara
University, Indonesia) 327
The system of Classification of Diseases With Fever Symptoms In Children Using Methods Fuzzy K-Nearest Neighbor
Sri Mulyati (Universitas Islam Indonesia, Indonesia), Rizky Karunia Putra (Universitas Islam Indonesia, Indonesia) 332 Decision Support System of Complementary Breastfeeding Based on Ontology Modeling
Sari Sihwi (Sebelas Maret University, Indonesia) 338
Decision support system for selection of dog breeds
Phie Chyan (Atma Jaya University of Makassar, Indonesia) 343
Agricultural Strategic Commodity Price Forecasting Using Artificial Neural Network
Wiwik Anggraeni (Institut Teknologi Sepuluh Nopember, Indonesia), Faizal Mahananto (Institut Teknologi Sepuluh Nopember, Indonesia), M Aunu Rofiq (Institut Teknologi Sepuluh Nopember, Indonesia), Kuntoro Andri (Agriculture Technology Assessment Center, Riau, Indonesia), Sumaryanto Sumaryanto (Center of Economic Study and Agriculture Policy, Indonesia), Zulkifli Zaini (International Rice Research Institute,
Indonesia), Apol Pribadi Subriadi (Institut Teknologi Sepuluh Nopember, Indonesia) 347
Development of A Warning Receiver System for Public Display Based on Application-Controlled Video Switcher
Moh Hasbi Assidiqi (Politeknik Elektronika Negeri Surabaya, Indonesia, Indonesia), Mochamad Mobed Bachtiar (Politeknik Elektronika Negeri Surabaya, Indonesia), Muchamad Chaninul Fuad (Politeknik Elektronika Negeri Surabaya, Indonesia), Indra Ferdiansyah (Politeknik
Elektronika Negeri Surabaya, Indonesia), Mohamad Nasyir Tamara (Politeknik Elektronika Negeri Surabaya, Indonesia, Indonesia) 353 Radio Frequency Communication for Data Transceiver in Fluid Pressure Monitoring on U-tube
Christin Erniati Panjaitan (Del Institute of Technology, Indonesia) 358
Real-Time Monitoring and Automated Control Of Greenhouse Using Wireless Sensor Network: Design and Implementation
Windi Puspitasari (Politeknik Negeri Malang, Indonesia) 362
Round-robin Algorithm in HAProxy and Nginx Load Balancing Performance Evaluation: a Review
Luthfan Hadi Pramono (STMIK AKAKOM Yogyakarta, Indonesia), Robby Cokro Buwono (STMIK AKAKOM Yogyakarta, Indonesia), Yanuar
Waskito (STMIK AKAKOM, Indonesia) 367
The Antecedents of Cloud Storage's Continued Use on Higher Education
Anggar Riskinanto (STIMIK ESQ, Indonesia), Bayu Kelana (STIMIK ESQ, Indonesia), Indah Lestari (STIMIK ESQ, Indonesia) 373 Intelligent Library Systems with Data Analytics for Enhanced Customer Relation Management Towards Continuous Quality Improvement
Lester Lanto Mercado (Technological Institute of the Philippines, Philippines) 378
Multidimensional Earcon Interaction Design for The Blind: a Proposal and Evaluation
Isna Alfi Bustoni (Universitas Gadjah Mada, Indonesia), Indra Hidayatulloh (Universitas Negeri Yogyakarta, Indonesia), Azhari Azhari (UGM,
Indonesia), Nia Augoestien (Universitas Gadjah Mada, Indonesia) 384
A Dynamic Intelligent Control Analysis on the Wireless Smart Machine Environments in The Industry 4.0
Ferry Wahyu Wibowo (Universitas Amikom Yogyakarta, Indonesia) 389
Development of Regional Public Election Analytics Application In Indonesia Using Data from Twitter
Sari Sihwi (Sebelas Maret University, Indonesia) 394
6
Parallel Session 5-A
Parallel Session 5-B
Design and development the IoT-based smart hydroponic system
Aris Munandar (Technical Implementation Unit for Instrumentation Development, LIPI, Indonesia), Hanif Fakhrurroja (Indonesian Institute of Sciences, Indonesia), Irfan Asfy Fakhry Anto (Indonesian Institute of Science, Indonesia), Rian Pratama (Indonesian Institute of Science, Indonesia), Jony Winaryo Wibowo (Technical Implementation Unit for Instrumentation Development & Indonesian Institute of Sciences, Indonesia), Taufik Ibnu Salim (Indonesian Institute of Sciences, Indonesia), Muhammad Ilham Rizqyawan (Indonesian Institute of Sciences,
Indonesia) 582
Performance of Sensors Monitoring System using Raspberry Pi through MQTT Protocol
Dania Eridani (Diponegoro University, Indonesia), Eko Widianto (Diponegoro University, Indonesia) 587 OFDM based Signal Detection Performance in Cognitive Radio Systems
Nasrullah Armi (Indonesian Institute of Sciences, Indonesia), Chaeriah Bin Ali Wael (Indonesian Institute of Sciences, Indonesia), Wajeb Gharibi (Jazan University, Jazan, Saudi Arabia), Wazir Zada Khan (Jazan University, Saudi Arabia), Yusuf Nur Wijayanto (Indonesian Institute of Sciences (LIPI), Indonesia), Taufiqqurrachman Taufiq (National Taiwan University of Science and Technology & Indonesian
Institute of Sciences, Indonesia) 591
Visual Adjustment Tools Selection for Multi-format Distributed World Framework
Mursid W Hananto (Universitas Ahmad Dahlan, Indonesia), Ahmad Ashari (Gadjah Mada University, Indonesia), Khabib Mustofa (UGM,
Indonesia) 595
Activity Diagram Similarity Measurement: A Different Approach
Reza Fauzan (Institut Teknologi Sepuluh Nopember & Politeknik Negeri Banjarmasin, Indonesia), Daniel Siahaan (Institut teknologi Sepuluh Nopember, Indonesia), Siti Rochimah (Institut Teknologi Sepuluh Nopember, Indonesia), Evi Triandini (STMIK STIKOM Bali, Indonesia) 601 Challenges for Implementation of The Draft of Presidential Regulation on Indonesia One Data
Reni Setyowati (University of Indonesia, Indonesia), Achmad Hidayanto (University of Indonesia, Indonesia), Edi Surya Negara (Universitas
Bina Darma, Indonesia), Nur Fitriah Ayuning Budi (Universitas Indonesia, Indonesia) 606
Legal Protection Policy on Computer Programming of Document Security System Based On Law No. 28 Copyright
Syaifudin Abdullah (University of Trisakti, Indonesia), Trubus Trubus (University of Trisakti, Indonesia), Dian Pratiwi (University of Trisakti,
Indonesia) 612
Success Factors of the Blockchain Adoption for Smart Manufacture
Surjandy Surjandy (Bina Nusantara University, Indonesia), Erick Fernando (Bina Nusantara University, Indonesia), Meyliana Meyliana (Bina Nusantara University, Indonesia), Raymond Kosala (Faculty of Computing & Media, Indonesia), Harco Leslie Hendric Spits Warnars (Bina Nusantara University & Doctor of Computer Science, Indonesia), Edi Abdurachman (Bina Nusantara University, Indonesia), Suhono Harso (,
Indonesia) 617
Waqf Lands Assets Classification Based On Productive Value For Business Development Using Naïve Bayes
Amiq Fahmi (Dian Nuswantoro University, Indonesia), Edi Sugiarto (Dian Nuswantoro University, Indonesia), Agus Winarno (Dian Nuswantoro University, Indonesia), Surya Sumpeno (Institute Teknologi Sepuluh Nopember, Indonesia), Mauridhi Hery Purnomo (Institut of
Technology Sepuluh Nopember, Indonesia) 622
Review on Food Recommender System for Diabetes Mellitus
Aulia Zikri Rahman (Universitas Gadjah Mada, Indonesia), Indah Soesanti (Universitas Gadjah Mada, Indonesia), Oyas Wahyunggoro (UGM,
Indonesia) 627
Indonesia Stock Exchange Securities Buy/ Sell Signal Detection using Bollinger Bands and Williams Percent Range
Ike Windasari (Diponegoro University, Indonesia), Agung Prasetijo (Universitas Diponegoro, Saudi Arabia) 633
Information Extraction of Traffic Condition from Social Media using Bidirectional LSTM-CNN
M. Riza Alifi (Institut Teknologi Bandung, Indonesia), Suhono Harso (, Indonesia) 637
Smart Chatbot System for E-Commerce Assitance based on AIML
Arif Nursetyo (Dian Nuswantoro University, Indonesia), De Rosal Ignatius Moses Setiadi (Dian Nuswantoro University, Indonesia), Egia Rosi
Subhiyakto (Dian Nuswantoro University, Indonesia) 641
SEMAR: An Interface for Indonesian Hate Speech Detection Using Machine Learning
Sari Sihwi (Sebelas Maret University, Indonesia), Umu Amanah (Sebelas Maret University, Indonesia) 646 Virtual Assistant Using LSTM Networks In Indonesian
Mirwan A (Narotama University & SAb, Indonesia) 652
Similarity Detector On The Student Assignment Document Using Levenshtein Distance Method
Dewi Soyusiawaty (Universitas Ahmad Dahlan, Indonesia), Fathur Rahmawanto (Universitas Ahmad Dahlan, Indonesia) 656 Proper Buffer Size and Time To Live on the Scheduled Train System using Delay-Tolerant Networks
Agus Urip Ari Wibowo (Politeknik Caltex Riau, Indonesia), Selo Sulistyo (Gadjah Mada University, Indonesia), I Wayan Mustika (Universitas
Gadjah Mada, Indonesia) 662
The Implementation of Data Mining for Association Patterns Determination Using Temporal Association Methods in Medicine Data
Lisna Zahrotun, LZ (University of Ahmad Dahlan, Indonesia) 668
9
Indonesia Stock Exchange Securities Buy/ Sell Signal Detection using Bollinger Bands and
Williams Percent Range
Ike Pertiwi Windasari, Agung Budi Prasetijo, Reza Pahlevi Pangabean Department of Computer Engineering
Faculty of Engineering – Diponegoro University Semarang, Indonesia
{ike, agung, rfpanggabean }@ce.undip.ac.id
Abstract—For stock investor, it is important to be able to predict future stock prices to find out the possible gains or losses obtained. In the world of stock investment, stock price prediction is applied with two approaches, namely analysis and fundamental analysis. This detection application system was developed using a technical analysis approach.
Technical analysis is a method used to observe price fluctuations in a certain time span by utilizing historical data using indicators. Bollinger Bands and Williams Percent Range are indicator used in this study to provide information on the movement of a stock by observing a particular pattern of patterns used as a basis for buying or selling. The data used in this study is six companies whose shares are listed as LQ45 in Indonesia Stock Exchanges.
The results show that the combination of indicators over a period of one year can provide the greatest benefit, namely by 80.20% in Aneka Tambang shares and the average performance of a total of 6 shares is 10.72% using strategy 1, an Exit Bollinger with confirmation by Williams Percent Range.
Keywords—Bollinger Bands, William Percent Range, Indonesia Stock Exchange, LQ45
I. I
NTRODUCTIONIn implementing the national economic development of a country, financing is needed from both the government and the community [1]. Thus, the capital market as an alternative financing of development, must be able to facilitate the development of market economy [2].
In the capital market, investors can invest through ownership of various securities (equity). In investment, it is widely known that the higher the expected profit level, the higher the level of risk that is likely to be faced and vice versa.
Many traders experience difficulties or confusion when taking a buy or sell position, in fact many signals of stock movements as a reference can be obtained for free via the Internet. However, if you are observant and want to learn stock investment, you must learn technical analysis and fundamental analysis. Because, basically traders make trading decisions using both analyzes [3]. Technical Analysis is quite often used by potential investors and usually the data used in this analysis is in the form of graphics, or computer programs.
Graphics or computer programs can be used to predict market trends, securities, or commodity futures that should be selected in investing [4].
Technical analysis as it is very suitable for predicting a stock price movement in the short term, medium term, or long term [5]. Indicators are tools used for graphic analysis.
Indicators combining is often used by investors to avoid false signals. Indicators combining is also used to complement between indicators. Indicators that are often used for combining are Oscillators and Volatility. Oscillator is an indicator used to determine prices or market conditions classified as oversold or overbought. This momentum can be used to determine whether prices will change or continue to follow trends. Examples of Oscillators are Williams Percent Range, Stochastic, Relative Strength Index (RSI), and Commodity Channel Index (CCI). While Volatility is often used to measure a relatively dynamic level of price movement.
In terms of trading, it is used as a marker of rising or falling prices, Examples of Volatility are Bollinger Bands (BB), Moving Average (MA), Average True Range, etc. Some research are using Bollinger Bands and show good result while combined with other method [6][7].
Bollinger bands is used to identify whether the stock price is relatively high or low. Stock prices are considered high when they touch the upper bands and are low when they touch the lower bands [6]. Williams Percent Range is designed to show the difference between a high period and today's closing price with a certain trading range. The indicator shows the relative situation of the closing price in the observation period [3]. With the Bollinger bands indicator as a trend level gauge on the market (Volatility), and Williams Percent Range as a determinant of momentum in determining the entry point (Oscillator), it is expected to provide a buy or sell signal appropriately.
The remainder of this paper is as follows. Stock technical analysis indicators are explained in Section 2. Section 3 provide the research method. Result and discussion from this research are explained in Section 4 and Section 5 will provide conclusion of this paper.
II. S
TOCKT
ECHNICALA
NALYSISI
NDICATORSIn this section, we will revisit two stock technical analysis indicators that we use in this study.
A. Bollinger Bands
Bollinger Bands is an analytical method developed by John Bollinger which is used to compare volatility and relative prices in one analysis period. Bollinger Bands consist of three designed to create a zone that can cover the majority of price movements [3]. This three zone is displayed as three bands that called middle band, upper band, and lower band. Equation 1, 2, and 3 show the formula to create upper band, middle band, and lower band as shown in Figure 1.
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633
Exploiting Malay Corpus On Islamic Issue using Sketch Engine
Roziyani bt Setik
Faculty of Communication, Visual Art and Computing Universiti Selangor, Malaysia
[email protected]
Azhar bin Hamid
Faculty of Communication, Visual Art and Computing Universiti Selangor, Malaysia
[email protected] Wan Azlan bin Wan Hassan Faculty of Communication, Visual
Art and Computing Universiti Selangor, Malaysia
[email protected]
Raja Mohd Tariqi bin Raja Lope Ahmad
Faculty of Communication, Visual Art and Computing Universiti Selangor, Malaysia
[email protected] Wan Hassan Basri bin Wan Ismail Faculty of Communication, Visual
Art and Computing Universiti Selangor, Malaysia
[email protected]
Suziyanti bt Marjudi Faculty of Communication, Visual
Art and Computing Universiti Selangor, Malaysia
[email protected]
Zuraidy bin Adnan Faculty of Communication, Visual
Art and Computing Universiti Selangor, Malaysia
[email protected]
Abstract — The aim of this paper is to create and compile a corpus and then studies how it can be query and exploit in Sketch Engine. We present A Malay Corpus that created based on Islamic issues keywords which crawled from new media sources between the year 2015 until 2018. Sources chosen are such as website, blog, journals, downloaded books and online newspaper. The collection consists of 329,835 words from total of 123 articles. Sketch Engine is used as a tool to learn how language is processed. It works as an online corpus processing system with large samples of language. Function as Search, Word Sketch, Thesaurus, Word List and Sketch diff are features used in this research to do a test on data processing from Malay corpus in Islamic Issues named Isu_Islam1.
Keywords—Corpus, Islamic Issues, Sketch Engine, Data Processing, Malay Corpus
I. I
NTRODUCTIONA new paradigm in linguistics, new language analysis tools along with easy access to a substantial amount of electronic texts have made researchers, lexicographers, terminologists, translators and language instructors increasingly interested in corpora [1]. A study on lexicography is the practice of compiling dictionaries. It required very large corpora. Increasing studies on lexicography become a reason on the development of corpus methods and corpus use [2].
A corpus as defined by [3] had mentioned that a corpus is synonymous with 'computer corpus' and means "set of digital texts that are collected based on certain criteria". Corpus build a sentiment classifier, that is able to determine positive, negative and neutral sentiments for a document [4] through people's opinions that usually show subjective expressions describing sentiments, appraisals or feelings toward entities, events and their properties [5].
Brown corpus is an American English corpus developed in 1961. A planning for Malay corpus been initialized by the Dewan Bahasa dan Pustaka in the year 1983. This effort of utilizing text collections in language research involved the development of databases under the Computer Text Analysis Project as reported by Zaiton Abd Rahman in the year 1987.
From this initialization corpus project, a development of annotated corpora for Malay corpus is continued. One is by Knowles and Don in year 2003 and second is the Dewan Bahasa dan Pustaka (DBP) database by DBP in year 2015 [6]. The Dewan Bahasa dan Pustaka also published a corpus database comprising a collection of texts covering the old Malay texts (from hikayat and kitab) and modern texts taken primarily from sources of books, newspapers, and magazines. This corpus consists of a digital collection of comprehensive issues and without the basis of any keywords being referred. While oral corpus is still in planning because the required marking for the oral corpus is much more complicated than the writing corpus and is not interrupted for that time [3].
As reported by [2], Oxford University Press's Oxford Arabic Dictionary is a bilingual Arabic-English, English- Arabic dictionary that analysis the sources of the language.
In this dictionary, half of the wellspring of the Arabic- English is from the principal corpus-based, a dictionary-scale analysis of the Arabic lexicon.
Corpus is developed based on its own keyword from selected sources. Corpora are developed with the availability of public or proprietary access.
II. SKETCH ENGINE A. A Review On Sketch Engine
Sketch Engine broadly used by researcher in developing corpus [7]. Known as text corpora, an online tool that analyze text with large samples of language. Its ability is to recognize what is represent and frequent in a language. It also reported what is infrequent, outdated, going out of the use or what words or grammar are recently developed or
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281
Alice M. Lacorte
Technological Institute of the Philippines Manila, Philippines
[email protected]
Intelligent Library Systems with Data Analytics for Enhanced Customer Relation Management Towards
Continuous Quality Improvement
Lester L. Mercado
Technological Institute of the Philippines Manila, Philippines
[email protected]
Abstract—The library in every institution has an important role in the education of the students and faculties. Building the right library system that has reliable features is very vital to provide good services to the customers of the library. The common problem in the library is how to fully utilize the collection materials of a certain library in the institution. In this study, the researchers addressed the said problem by proving a reliable timely generation of reports for the library department using descriptive analytics in terms of the library attendance, borrowing, extracting of the book collections; and the reports of 5 years recency of books to help in preparing a curriculum. In addition, the study also used the apriori algorithm for the recommendation of the related topics of the book for the enhanced searching of the users of the library. The study made use of prototyping methodologies to address the needs of the users in the library. The survey and questionnaires were used to the targeted users of the library to be familiarized to the process flow of the library. Based on the result of the evaluation using ISO 25010, for Non-technical users: Functional Suitability, Performance Efficiency, Usability, Reliability, Compatibility has ratings of 3.57 with an interpretation of Strongly Acceptable; for Technical users: Security, Maintainability, Portability has ratings of 3.58 with an interpretation of Strongly Acceptable. The researchers found out that the system really helps the library on providing a fully utilized system.
Keywords–-Library System, Intelligent Software, Data Analytics, Descriptive analytics, Apriori Algorithm, Customer Relationship Management
I. INTRODUCTION
Library plays an important role in providing different informative and helpful book collections to the students and faculties. Library offers many resources such as books, journals, manuscripts, archival materials and digital resources like electronic e-books and video/audio collections to provide the never ending knowledge that can be offered to its customers in the library [1]. In addition, with the help of the modern technology, the library itself open the door to change the manual procedure into automated one to adopt and to provide the needs of every individuals who uses the library services like searching of a certain books and borrowing of books.
In this study, First Asia Institute of Technology and Humanities (FAITH) located at Tanauan City, Batangas encountered problems that needs to improve. The library
department has an over 20,000 books collection and continuously acquiring new book collection. FAITH’s existing library system offers typical transaction of borrowing and returning of books. The system also allows the library staff to export such a simple report. The researchers developed a system that will improve the library services with the help of new technology and methodology.
In the past few years, modern technology itself have taken the lives of the library into a good way and everything seems to be in digitally informative resources. Most of the institutions are adopting the library system as they provide an intensive service to the users. It also helps the librarians and staffs in terms of assisting the students or faculties when trying to look on a certain books on the open shelves through the help of library system with the key feature of Online Public Access Catalog. In addition, the libraries must always go the flow of the technology by also implementing a library systems and the existing process flow should reinvented to the modern library as of today [2].
In addition, with the help of the Information and Communication Technology the libraries all over the country transformed the library services [3]. By proving a fast access to the technology, the library produce a real time transactions to the patrons of the library. The manual searching of books using the card catalog is now obsolete because of the easy access of searching on the computer but some of the library keeps the card catalog in case the library system gets down.
Everyone that has a personal computers or laptops may now access the Online Public Access Catalog if the user know the link address of the system. As evolving of the technology, the library system also produce a mobile application by the help of the mobile application developers for handheld access and compact access anywhere as long as they have the internet access. This makes easier access to the millennial person that obviously obsessed on using their smart phones.
More so, the lives of the librarians and staffs made easier in terms of lending the books. Before, the librarians uses the log books when someone is about to borrow or to return a certain book. Providing monthly reports of borrowing of books produced by the system also serves as a big help to the workload of every librarian. Just unlike before the manual process needs a pen to manually track the borrowing of books on the log books. Those are the important features of the
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378
OFDM based Signal Detection Performance in Cognitive Radio Systems
N.Armi, C.Wael, Taufiqurrahman, Y.N. Wijayanto Indonesian Institute of Sciences
Research Center for Electronics and Telecommunication Bandung, Indonesia
[email protected]
W.Z. Khan, Wajeb Gharibi
Department of Computer and Network Engineering, College of Computer Science and Information Systems, Jazan
University, Kingdom of Saudi Arabia
Abstract—Performance of energy detector is affected by many factors, such as fading, shadowing, malicious user attack, etc.
Those things potentially decreases the performance of primary signal detection. This paper studies OFDM based signal detection in cognitive radio systems. This work uses two difference input signal. The used two signals are PSK (Phase-Shift Keying) modulated signal with distributed Gaussian noise and QAM (Quadrature Amplitude Modulation) modulated OFDM (Orthogonal Frequency-Division Multiplexing) as an input signal in cognitive radio system. Comparison of these two signal focuses on receiver operating curve (ROC) that is represented by probability of detection (P
d) as a function of probability of false alarm (P
f). Initially, PSK modulated with distributed Gaussian noiseis used as aninput signal. Then, we replace the input signal with OFDM signal. Comparison is further analyzed by changing period of sensing time. Through numerical simulation, input signal based on OFDM reveals better performance compared with distributed Gaussian signal. Furthermore, from simulation shows that performing sensing with longer time is able to improve the performance of energy detector.
Keywords—OFDM Signal; Energy Detector; Spectrum Sensing; Cognitive Radio
I. I
NTRODUCTIONWireless spectrum resource is a crucial problem in the near future due to scarcity. Spectrum management for efficiency of used spectrum has been proposed as a solution. One of spectrum management technique is dynamic spectrum access that is also known as cognitive radio (CR). This spectrum access technique enables user opportunistically use the vacant spectrum. This technique potentially increases spectrum efficiency.
This technique introduces primary and secondary users.
Primary user (PU) has a priority access while secondary user (SU) as unlicensed user prior to sense before access. It is compulsory done to convince that spectrum is free to avoid collision.
The light technique in detection and most popular is energy detector. The energy of detected signal is measured and compared with the threshold value. The defined threshold is used to indicate whether spectrum in used or unused. Spectrum is used by PU when the detected signal energy is higher than the defined threshold. In this state, SU cannot access the license spectrum. On the other hand, SU is possible to access the
spectrum when the detected signal energy is below the defined threshold
Spectrum sensing is the first task in CR system. It is like listen before talk in computer network, sense before access is a similar concept. Secondary user as unlicensed user observe if any vacant spectrum enable to access. It must be performed as accurate as possible to ovoid collision with PU and decrease the error rate. A good detector must have a high probability of detection and less probability of error. Type of signal also has an impact to the performance of detection.
Author in [1] explored multiband spectrum sensing algorithm to optimize detection for complex Gaussian. Through mathematical transformation and heuristic simulation, the existing problem in spectrum sensing under some constraints was solved. The basic limits for Gaussian cognitive broadcast channel were investigated in [2]. The authors conclude that the capacity region of the Gaussian cognitive decreased broadcast channel with weak interference.Effectiveness of the Gaussian approximation in CR systems was investigated in [3]. The authors show that the use of Gaussian approximation under the weak signal causes the performance degradation of CR systems.
OFDM based spectrum sensing was proposed [4]-[6]. It enables to solve inter symbol interference and low data rate problems.
The use of OFDM signal potentially improves the detection performance. Detector performance with certain and uncertain noise in OFDM CR system was studied in [7]. Through numerical simulation, the authors conclude that detector with a certain noise in OFDM CR system has better performance.
This paper studies the performance of PSK modulated with Gaussian distributed signal and QAM modulated based OFDM signal in energy detector of CR system. We compare the performance of detector from these two type of input signals and further study on sensing time impact to the performance of energy detector.The rest of the paper is organized as follows.
Fundamental of spectrum sensing which discusses probability of detection, probability of false detection, and probability of false alarm as function of sensing time is discussed in Section II. Section III discusses simulation parameter and methodology during experimental work. Finally, conclusion remark is briefly presented in Section IV.
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