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LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Jurnal Ilmiah (Prosiding)

: Naïve Bayes Algorithm for Lung Cancer Diagnosis Using Image Processing Techniques Nama/ Jumlah Penulis : Kusworo Adi, Catur Edi Widodo, Aris Puji Widodo, Rahmat Gernowo, Adi Pamungkas

dan Rizky Ayomi Syfa/ 6 orang Status Pengusul : Penulis ke- 1

Identitas Jurnal Ilmiah : a. Nama Prosiding : International Conference on Energy, Environmental and Information System (ICENIS 2016)

b. ISBN/ISSN : 1936-6612, 1936-7317 c. Thn Terbit, Tempat

Pelaks.

: 2016, Semarang Indonesia d. Penerbit/ Organiser :

American Scientific Publishers

e. Alamat

Repository/Web

: https://www.ingentaconnect.com/content/asp/asl/2017/0 0000023/00000003/art00188;jsessionid=1bctp2qm4090 s.x-ic-live-01

Alamat Artikel : https://www.ingentaconnect.com/content/asp/asl/2017/0 0000023/00000003/art00188;jsessionid=1bctp2qm4090 s.x-ic-live-01

g. Terindex : Scopus 2010-2017 (cancelled)

https://www.scimagojr.com/journalsearch.php?q=19700 181106&tip=sid&clean=0

Kategori Publikasi Makalah : √ Prosiding Forum Ilmiah Internasional (beri pada kategori yang tepat) Prosiding Forum Ilmiah Nasional Hasil Penilaian Peer Review :

Komponen Yang Dinilai Nilai Reviewer

Nilai Rata-rata Reviewer 1 Reviewer 2

a. Kelengkapan unsur isi prosiding (10%) 2,00 2,00 2,00

b. Ruang lingkup dan kedalaman pembahasan (30%)

5,80 5,80 5,80

c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)

5,90 5,90 5,90

d. Kelengkapan unsur dan kualitas terbitan/

prosiding (30%)

6,00 5,80 5,90

Total = (100%) 19,70 19,50 19,60

Semarang, 6 Mei 2020 Reviewer 1

Prof. Dr. Muhammad Nur, DEA NIP. 195711261990011001

Unit Kerja : Departemen Fisika - FSM UNDIP

Reviewer 2

Prof. Dr. Heri Sutanto, SSi, MSi NIP. 197502151998021001

Unit Kerja : Departemen Fisika - FSM UNDIP

(2)

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Jurnal Ilmiah (Prosiding)

: Naïve Bayes Algorithm for Lung Cancer Diagnosis Using Image Processing Techniques Nama/ Jumlah Penulis : Kusworo Adi, Catur Edi Widodo, Aris Puji Widodo, Rahmat Gernowo, Adi Pamungkas

dan Rizky Ayomi Syfa/ 6 orang Status Pengusul : Penulis ke- 1

Identitas Jurnal Ilmiah : a. Nama Prosiding : International Conference on Energy, Environmental and Information System (ICENIS 2016)

b. ISBN/ISSN : 1936-6612, 1936-7317 c. Thn Terbit, Tempat

Pelaks.

: 2016, Semarang Indonesia d. Penerbit/ Organiser :

American Scientific Publishers

e. Alamat

Repository/Web

: https://www.ingentaconnect.com/content/asp/asl/2017/0 0000023/00000003/art00188;jsessionid=1bctp2qm4090 s.x-ic-live-01

Alamat Artikel : https://www.ingentaconnect.com/content/asp/asl/2017/0 0000023/00000003/art00188;jsessionid=1bctp2qm4090 s.x-ic-live-01

g. Terindex : Scopus 2010-2017 (cancelled)

https://www.scimagojr.com/journalsearch.php?q=19700 181106&tip=sid&clean=0

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 P rosiding

Nilai Akhir Yang Diperoleh Internasional

Nasional

a. Kelengkapan unsur isi prosiding (10%) 2,00 2,00

b. Ruang lingkup dan kedalaman pembahasan (30%)

6,00 5,80

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

6,00 5,90

d. Kelengkapan unsur dan kualitas terbitan/ prosiding (30%)

6,00 6,00

Total = (100%) 20,00 19,70

Nilai Pengusul =

Semarang, 8 Mei 2020 Reviewer 1

Prof. Dr. Muhammad Nur, DEA NIP. 195711261990011001

Unit Kerja : Departemen Fisika - FSM UNDIP Catatan Penilaian artikel oleh Reviewer :

1. Kelengkapan unsur isi jurnal:

Artikel telah ditulis seuai dengan format Advanced Science Letters. Latar belakang sangat jelas dan kebaruan sudah dikemukakan secara explisit. Unsur-unsur artikel lengkap.

2. Ruang lingkup dan kedalaman pembahasan:

Ruang lingkup terkait algoritma. Pembahasan sudah baik lengkap, tetapi belum ditemukan dengan jelas terdapat diskusi/pembahasan sebagai pembandingan dengan hasil penelitian dalam referensi yang digunakan.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi:

Referensi mutahkir. Metoda standard dan dapat direflikasi oleh peneliti lain.

4. Kelengkapan unsur dan kualitas terbitan:

Kualitas penerbitan cukup baik. Penataan masih ada yang terlewatkan.. Paper berasal dari konferensi dimuat di

Advanced Science Letters, Scopus 2010-2017 (cancelled). Nilai maximum 20.

(3)

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Jurnal Ilmiah (Prosiding)

: Naïve Bayes Algorithm for Lung Cancer Diagnosis Using Image Processing Techniques Nama/ Jumlah Penulis : Kusworo Adi, Catur Edi Widodo, Aris Puji Widodo, Rahmat Gernowo, Adi Pamungkas

dan Rizky Ayomi Syfa/ 6 orang Status Pengusul : Penulis ke- 1

Identitas Jurnal Ilmiah : a. Nama Prosiding : International Conference on Energy, Environmental and Information System (ICENIS 2016)

b. ISBN/ISSN : 1936-6612, 1936-7317 c. Thn Terbit, Tempat

Pelaks.

: 2016, Semarang Indonesia d. Penerbit/ Organiser :

American Scientific Publishers

e. Alamat

Repository/Web

: https://www.ingentaconnect.com/content/asp/asl/2017/0 0000023/00000003/art00188;jsessionid=1bctp2qm4090 s.x-ic-live-01

Alamat Artikel : https://www.ingentaconnect.com/content/asp/asl/2017/0 0000023/00000003/art00188;jsessionid=1bctp2qm4090 s.x-ic-live-01

g. Terindex : Scopus 2010-2017 (cancelled)

https://www.scimagojr.com/journalsearch.php?q=19700 181106&tip=sid&clean=0

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 P rosiding

Nilai Akhir Yang Diperoleh Internasional

Nasional

a. Kelengkapan unsur isi prosiding (10%) 2,00 2,00

b. Ruang lingkup dan kedalaman pembahasan (30%)

6,00 5,80

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

6,00 5,90

d. Kelengkapan unsur dan kualitas terbitan/ prosiding (30%)

6,00 5,80

Total = (100%) 20,00 19,50

Nilai Pengusul =

Semarang, 6 Mei 2020 Reviewer 2

Prof. Dr. Heri Sutanto, SSi, MSi NIP. 197502151998021001

Unit Kerja : Departemen Fisika - FSM UNDIP Catatan Penilaian artikel oleh Reviewer : 1. Kelengkapan unsur isi jurnal:

Artikel telah ditulis secara lengkap mulai dari judul, abstrak, pendahuluan hingga referensi dan sesuai template Advanced Science Letters. Scope jurnal relevan dengan artikel yang ditulis.

2. Ruang lingkup dan kedalaman pembahasan:

Ruang lingkup dan kedalaman pembahasan baik. Pembahasan hasil penelitian dengan membandingkan hasil peneliti lain tidak ada.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi:

Data penelitian yang diperoleh memadai. Hasil penelitian sudah sesuai dengan metodologi riset yang dilakukan. Paper disusun berdasarkan 16 referensi dan kategori mutakhir semua.

4. Kelengkapan unsur dan kualitas terbitan:

Secara umum kelengkapan unsur artikel lengkap. Kualitas penerbit cukup baik. Jurnal pernah terindeks Scopus namun

2010-2017 (cancelled).

(4)

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ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography

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Advanced Science Letters

ISSN 1936-6612 (Print)

Publisher: American Scientific Publishers More about this publication?

ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography

encompassing the basic and applied research and current developments in educational aspects of these scientific areas.

Volume 23, Number 3, March 2017

research-article

Selected Peer-Reviewed Articles from The International Workshop on Intelligent Information Technology (2WINTECH 2016), Cheonan, Korea, 20–22 October, 2016

pp. 1489-1490(2) Author: Cho, Sok Pal

Heating Characteristics of the Contact Wire for Circuit Breaker in Poor Contact

pp. 1491-1495(5)

Authors: Lee, D. D; Lim, K. B; Kim, T. W

Research on a Back-Mirroring for IPTV Control

pp. 1496-1499(4)

Authors: Song, Ho-Bin; Joo, Hae-Jong Contents

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The Optimization of Ureterolithiasis Image with a Contrast Analysis on MSCT of Urinary Tract with Variation of Slice Thickness and Window Setting

pp. 2277-2280(4)

Authors: Sulaksono, Nanang; Suryono, Suryono; Ardiyanto, Jeffri

Information Extraction of Optical Answer Sheet (LJK) Based on Image Processing Using Smartphone Camera

pp. 2281-2284(4)

Authors: Hermawan, Erwin Wahyu Ary; Wibirama, Sunu; Bejo, Agus

Text Classification to Detect Student Level of Understanding in Prior Knowledge Activation Process

pp. 2285-2287(3)

Authors: Wenando, Febby Apri; Adji, Teguh Bharata; Ardiyanto, Igi

Enterprise Resource Planning Implementation in Industrial Construction Company

pp. 2288-2291(4)

Authors: Juwita, Oktalia; Syaifudin, Yan Watequlis

Plants Watering Schedule Algorithm Using the Edge Coloring Graph Technique

pp. 2292-2295(4)

Authors: Adiwijaya, Nelly Oktavia; Slamin, .

Naïve Bayes Algorithm for Lung Cancer Diagnosis Using Image Processing Techniques

pp. 2296-2298(3)

Authors: Adi, Kusworo; Widodo, Catur Edi; Widodo, Aris Puji; Gernowo, Rahmat; Pamungkas, Adi; Syifa, Rizky Ayomi

Groundwater Conservation in Batu City East Java: An Ecohydrological Approach

pp. 2299-2301(3)

Authors: Maulidiyah, Eni; Anggoro, Sutrisno; Suherman, Suherman

Model of the Relationship Between Consumption of Sawn Timber with the Consumer Expenditure on Food, Non-Food Products and Savings (Case Study in Solok City, West Sumatra Province, Indonesia)

pp. 2302-2304(3)

Authors: Jumairi, Feldy; Bambang, Aziz Nur; Hidayat, Jafron Wasiq

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Advanced Science Letters

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Publisher: American Scientific Publishers ISSN: 1936-6612 E-ISSN: 1936-7317

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Naïve bayes algorithm for lung cancer diagnosis using image processing techniques

(Article)

, , , , ,

Diponegoro University, Semarang, Indonesia

Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia Department of Informatics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia

Abstract

Lung cancer is a disease has highest mortality rates in the world. Based on data from the International Agency for Research Center (IARC) in , there are . % of people in the world die from lung cancer. Microscopic examination process of biopsy still has some drawbacks. In the process of diagnosis, medical practitioners still use visual

observation, so that analysis results are subjective and takes a long time. In this research, a system developed by microscopic analysis of biopsy with digital image processing techniques. The process of identification of cancer cells in the biopsy sample is done through the stages of feature extraction using Gray Level Co-Occurrence Matrix (GLCM) and classification using a Naive Bayes algorithm. The results of image classification biopsy showed the accuracy of

. % with combination of parameters contrast and homogeneity. Digital image processing techniques can be implemented in the process of microscopic examination of biopsy. © American Scientific Publishers. All rights reserved.

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Author keywords

Biopsy GLCM Image Processing Lung Cancer Naive Bayes

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Advanced Science Letters

Volume 23, Issue 3, March 2017, Pages 2296-2298

Adi, K.a,b Widodo, C.E.a,b Widodo, A.P.a,c Gernowo, R.a,b Pamungkas, A.b Syifa, R.A.b

a b c

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Image segmentation | Diagnosis | Image processing

ISSN: 19366612 Source Type: Journal Original language: English

DOI: 10.1166/asl.2017.8654 Document Type: Article

Publisher: American Scientific Publishers

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Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans

Singh, G.A.P. Gupta, P.K.

Similarity based on the importance of common features in random forest

Chen, X. Han, L. Leng, M.

Non-small-cell lung cancer prediction using radiomic features and machine learning methods

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WHO report on the Global Tobacco Epidemic  

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Media Centre Cancer  

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(2015) International Journal of Applied Engineering Research, 10 (2), pp. 4043-4056.  .

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(2016) International Journal of Applied Engineering Research, 11 (15), pp. 8754-8759.  .

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