Zainal Arifin Hasibuan, Univerza Dian Nuswantoro, Indonezija Achmad Benny Mutiara, Univerza Gunadarma, Indonezija General Chair. Ahmad Nizar Hidayanto, Univerza v Indoneziji, Indonezija Husni Teja Sukmana, UIN Syarif Hidayatullah Jakarta, Indonezija Prihandoko, Univerza Gunadarma, Indonezija. Dadang Hermawan, STIKOM Bali Institute of Technology and Business, Indonezija Cecilia Esti Nugraheni, Katoliška univerza Parahyangan, Indonezija.
Ismail Khalil, Universitas Johannes Kepler, Linz, Austria Joko Santoso, Universitas Atma Jaya Jogjakarta, Indonesia Kridanto Surendro, Institut Teknologi Bandung, Indonesia Lintang Yuniar Banowosari, Universitas Gunadarma, Indonesia Lukito Edi Nugroho, Universitas Gajah Mada, Indonesia Leon Andretti Abdillah, Bina Universitas Dharma. Rahmadya Handayanto, Universitas Islam 45, Indonesia Retantyo Wardoyo, Universitas Gadjah Mada, Indonesia Rila Mandala, Institut Teknologi Bandung, Indonesia Rizal Munadi, Universitas Syah Kuala, Indonesia. Teddy Mantoro, Universitas Sampoerna, Indonesia Tole Sutikno, Universitas Ahmad Dahlan, Indonesia Tri Handhika, Universitas Gunadarma, Indonesia.
Tri Kuntora Priyambodo, Gadjah Mada Universiteit, Indonesië Tubagus Maulana Kusuma, Gunadarma Universiteit, Indonesië Untung Rahardja, Raharja Universiteit, Indonesië. Waralak Siricharoen, Universiteit van die Thaise Kamer van Koophandel, Thailand Wendi Usino, Budi Luhur Universiteit, Indonesië.
Pelacakan lokasi kendaraan di tempat parkir menggunakan K-nearest neighbour dan sidik jari berbasis RSSI Bluetooth. CS/I 111 Murahartawaty Arief dan Mustafa Bin Matt Deris Dampak Text Preprocessing terhadap Klasifikasi Sentimen pada Product Review. CS/I 114 Aa Zezen Zaenal Abidin, Mohd Fairuz Iskandar Othman, Aslinda Hassan, Yuli Murdianingsih, Usep Tatang Suryadi dan Zulkiflee Muslim.
Muhammad Arif Azhari Halim, Mohd Fairuz Iskandar Othman, Aa Zezen Zaenal Abidin, Erman Hamid, Norharyati Harum dan Wahidah Md Shah. Olga Geby Nabila Perancangan dan Pengembangan Information Sharing and Analysis Center (ISAC) sebagai Platform Berbagi Informasi.
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ABSTRACT PAPER
ICIC 2021
Gilvy Langgawan Putra, Rama Yogaswara and Ihsan Alfani Putera
One of the websites in the tourism sector that is widely used by the global community today is Tripadvisor. The accuracy results of the Bayesian test using the cross-validation technique achieved a result of 81.57%. The purpose of this study is to analyze the buffer performance of Mean Drop (M-Drop), FIFO Drop and PP Drop.
Our result shows that the efficiency of buffer management in remote island data transmission can be increased depending on the use of the buffer method. Based on the test results of the developed tool, the accuracy of the system used is 90%, which is effective in preventing the movement of parked cars from theft. Therefore, the contribution of this research is a comparison of the effectiveness of three basic reduction methods in emotion recognition based on electroencephalogram signals.
Summary - Vaccination is still one of the most reliable ways to fight a pandemic outbreak. One of the assistance programs is the Productive Economic Endeavors (PEE), which emphasizes increasing the income of Micro, Small and Medium Enterprises (MSMEs) to build harmonious social relations among communities. The software development method uses a prototype because its development requires the role of the user.
Confirmation was also determined by perceived usefulness of the system and self-efficacy in using the system. To learn this information, a simple sentiment analysis can make the right observations to support the OVO fintech system in analyzing the success of the fintech system. The analysis has several phases, starting from how to extract comment data from the toy store, extracting meaningful information. from the Play Store platform and extract the data into valuable information. One of the interesting cases to study is determining the position of the vehicle in the indoor parking lots.
Processing Speed Comparison of the Least Significant Bit (LSB) Steganography Algorithm on FPGA and Matlab. The purpose of this research is to compare the processing speed of the LSB steganography algorithm in the two implementations. The results achieved are: (1) The collection of morphology and distribution data for 100 algal species with 60 samples obtained from 9 events stored at 4 depositors and (2) the publication of the MALSAI database on the IndoAlgae website at https://www . .indoalgae.org.
The development of the trained machine learning model yields an accuracy of 96.91%. This research uses one of the methods from a systematic literature review by the Joanna Briggs Institute (JBI), namely Systematic Review of Qualitative Evidence.
DETECTING HATE SPEECH IN TWITTER USING LONG SHORT-TERM MEMORY
Mustakim, Retantyo Wardoyo, Khabib Mustofa and Gandes Retno Rahayu
Unfortunately, these studies are still scattered and make it difficult to know the latest knowledge about using LDA in medical records. Our research intends to explore studies on the advancement of the LDA method in the medical field. The result of the literature review showed that the LDA method had been used in several research topics.
Summary - A deaf person is someone who has impairments or abnormalities in the hearing organ that result in the inability to hear with varying degrees of hearing. The impact that deaf people face is the inhibition of verbal communication, both expressive and speaking, being unable to control the power of the voice when speaking, and being unable to receive or understand the conversation conveyed by the interlocutor. Our web-based application can provide information about the strength of the sound produced and the text of the conversation of the interlocutor.
We have tested and proven that our sensor devices and wireless communication assistant application work correctly. This study presents an overview of existing CNN techniques used for malaria diagnosis, focusing on architectures, data preparation, preprocessing, and classification. In addition, this study discusses why comparability of the presented methods becomes difficult and what challenges need to be overcome in the future.
The procedure for detecting COVID-19 begins with the detection of early symptoms, moreover, confirmed with swabs and chest X-ray methods. This study performed the classification of COVID-19 and non-COVID-19 with Discrete Wavelet Transform as the feature extraction technique and deep learning as the classification method. The result of this study is able to identify Chest X-rays with COVID-19 and the accuracy is increased by more than 10% in Machine Vector Support, Decision Tree and Deep Learning.
Abstract - This study aims to implement the ANFIS method to predict paddy plant height based on the treatment of vermicompost organic fertilizer. The dataset used for ANFIS training was taken directly from the paddy height observation data and soil laboratory test results. The results obtained from the training data process is that there are 486 rules and the error rate using MAPE is 3.53% or the accuracy level of the prediction results is 96.47%.
Means Algorithm and Levenshtein Distance Algorithm for Sentiment Analysis of School
Summary - User loyalty of an IT-based online transportation application has increased during the Covid-19 pandemic. Customers continue to use the Online Transport app for daily mobility to avoid exposure to the Covid-19 virus. The aim of the research is to demonstrate the influence of brand trust, service quality and religiosity on customer loyalty to an online transport application based on information technology.
The study sample consisted of 303 users of online transportation application Sampling technique application service using random sampling. Instruments for measuring customer loyalty using measuring instruments from Mcmullan and Gillmore [14], Brand Trust Scale (BTS) from Delgado-Bellester [3], Service Quality (Servqual) developed by parasuraman [17], and The Centrality of Religiousness Scale (CRS ) developed by Huber and Huber [8]. The results of the analysis showed that the null hypothesis was rejected, which means that there was a significant influence of brand trust, service quality and religiosity on customer loyalty with a significance level of 0.000 (P<0.05) and R-square showing 0.580 or 58 .
Based on the regression coefficients, it can be seen that brand reliability, responsiveness and public practices significantly influence customer loyalty of application services based on Gojek information technology. Abstract - The objective of this research is to present an assessment and management for document confidentiality that is permanent, transparent and sustainable for students using blockchain technology and directly accessible by students. The method in this research using the Study Literature Review to study problems from research on the topic of blockchain-based student achievement credentials in the world of education.
Further research can be conducted by combining blockchain with AI innovation and the application of private key and decentralized cloud to address issues related to productivity, flexibility, capacity and stronger security. With future updates, it is hoped that the use of blockchain in student achievement credentials can become more mature and can be applied to 1000 universities in Indonesia. Abstract - This research uses blockchain-based techniques to overcome the problem of easy degree forgery in Indonesia.
In the future, further research on blockchain techniques is needed in case of forgery of other documents so that this technology can be adopted and further developed. Based on the literature study conducted in this research, it is concluded that blockchain technology has a positive impact as a transformation towards new energy and economic acceleration based on green technology, so that digitization and harmonization of the academic atmosphere can be created, especially through the validity of certificates. The results of this study provide a detailed experimental assessment and investigate the proposed model for the verification of completion certificates using Blockchain Technology.