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All Journal Jurnal Teknologi dan Manajemen Informatika REKAYASA Jurnas Nasional Teknologi dan Sistem Informasi Edu Komputika Journal Sistemasi: Jurnal Sistem Informasi JIKO (Jurnal Informatika dan Komputer) INOVTEK Polbeng - Seri Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer INTEK: Informatika dan Teknologi Informasi Jurnal Linguistik Komputasional JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) International Journal of Engineering, Technology and Natural Sciences (IJETS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JUKI : Jurnal Komputer dan Informatika International Journal of Business, Humanities, Education and Social Sciences (IJBHES) Indonesian Journal of Data and Science TIN: TERAPAN INFORMATIKA NUSANTARA Infotek : Jurnal Informatika dan Teknologi Teknika Science in Information Technology Letters Bulletin of Computer Science Research Journal of Social Research Journal Of World Science Jurnal Informatika Teknologi dan Sains (Jinteks) NERO (Networking Engineering Research Operation) SmartComp Jurnal Informatika: Jurnal Pengembangan IT International Journal of Artificial Intelligence in Medical Issues
Adityo Permana Wibowo
Universitas Teknologi Yogyakarta
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Journal : Compiler

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Estimation of Time Voting in Elections Using Artificial Neural Network Hidayati, Nur; Fachrie, Muhammad; Wibowo, Adityo Permana
Compiler Vol 8, No 2 (2019): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.048 KB) | DOI: 10.28989/compiler.v8i2.499

Abstract

Since the first election policy was enacted simultaneously, it does not mean that it does not have potential problems, instead it causes other problems, which require extra time and energy in doing recapitulation. Simultaneous elections consist of presidential elections, DPR elections, Provincial DPRDs, City / Regency DPRDs, DPD, the more they are elected, the more influential is the time of voting and the time of vote recapitulation. The longer the voting time is done by the voters, the longer the recapitulation time. The longer time of recapitulation results in the fatigue of KPPS members which triggers inaccurate work and prone to manipulation and fraud so that it can damage the quality of elections. This study aims to determine the estimated time needed for voting for ballots in elections using the Multilayer Perceptron Artificial Neural Network (ANN) approach. The resulting time estimate is based on the time of the voter in the voting booth. The results of this study indicate that ANN with the Multilayer Perceptron Algorithm can calculate the estimated time required for ballot balloting by producing the best combination of learning parameters with 4 hidden neurons, learning rate 0.001, and 2000 epoch iterations resulting in an RMSE value of 108,015 seconds.
IMPLEMENTATION OF BACKPROPAGATION NEURAL NETWORK IN SENTIMENT ANALYSIS ON TWITTER TO PUBLIC FIGURES Achmad Safruddin; Arief Hermawan; Adityo Permana Wibowo
Compiler Vol 9, No 2 (2020): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.502 KB) | DOI: 10.28989/compiler.v9i2.834

Abstract

Sentiment analysis is a process for identifying or analyzing people's opinions on a topic. Sentiment analysis analyzes each word in a sentence to find out the opinions or sentiments expressed in the sentence. The opinions expressed can be in the form of positive or negative opinions. Twitter is one of the most popular social media in Indonesia. Twitter users always discuss various kinds of topics every day. One of the things discussed on Twitter and which has become a trending topic several times is about public figures. This study discusses the analysis of positive or negative sentiments towards public figures based on tweet data carried out by text processing. The results of text processing are classified using a backpropagation neural network. Tests were carried out using 69 test data, resulting in an accuracy of 62.3%, with 43 correct classification results.
Estimation of Time Voting in Elections Using Artificial Neural Network Nur Hidayati; Muhammad Fachrie; Adityo Permana Wibowo
Compiler Vol 8, No 2 (2019): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (453.369 KB) | DOI: 10.28989/compiler.v8i2.499

Abstract

Since the first election policy was enacted simultaneously, it does not mean that it does not have potential problems, instead it causes other problems, which require extra time and energy in doing recapitulation. Simultaneous elections consist of presidential elections, DPR elections, Provincial DPRDs, City / Regency DPRDs, DPD, the more they are elected, the more influential is the time of voting and the time of vote recapitulation. The longer the voting time is done by the voters, the longer the recapitulation time. The longer time of recapitulation results in the fatigue of KPPS members which triggers inaccurate work and prone to manipulation and fraud so that it can damage the quality of elections. This study aims to determine the estimated time needed for voting for ballots in elections using the Multilayer Perceptron Artificial Neural Network (ANN) approach. The resulting time estimate is based on the time of the voter in the voting booth. The results of this study indicate that ANN with the Multilayer Perceptron Algorithm can calculate the estimated time required for ballot balloting by producing the best combination of learning parameters with 4 hidden neurons, learning rate 0.001, and 2000 epoch iterations resulting in an RMSE value of 108,015 seconds.
Co-Authors AA Sudharmawan, AA Achmad Safruddin Ahmad Fathan Hidayatullah, Ahmad Fathan Ahmad Naswin Akmal Setiawan Wijaya Albertus Carloson Fallo Allam, Sayyidan Fahd Arief Hermawan Arif Amrulloh Barus, M Akmal Shievo Bella Primin Donny Avianto Edi Faizal Fernanda, Niko Haikal Fawwaz Karim Hamzah Fachrurozi Ifannur, Muhammad Taufik Imantoko Imantoko Jullev Atmadji, Ery Setiyawan Kuncorojati, Fariz Wahyu Kustrianugraha, Afri Fajar Kusumastuti, Asriana Dyah Luh Putu Ratna Sundari M. Raihan Alghifari Muhammad Fachrie Muhammad Habibi Muhammad Insan Kamil, Muhammad Insan Nanda, Dwita Dhara Nararya Budiyono Nastiti, Kartika Rizqi Nugroho, Bagus Candra Nur Hidayati Pangesty, Shandika Sayyid Ammar Pratama, Khrisna Yudha Primin, Bella Putra, Elvanda Adi Putra, Muhammad Fakhri Despawida Aulia Qowiim, Asyhar Raihan Anmar Widyasmoro Rianto Ridwan Halim Setyadi, Dian Febry Sri Hartati Sri Wulandari Suryo Sudiro Sutarman Sutarman Tamam Huda, Muhammad Tarigan, ⁠⁠Thomas Edyson Taruk, Medi Tri Waluyo Wiwik Handayani