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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jupiter Prosiding Semnastek Annual Research Seminar JOIN (Jurnal Online Informatika) Jurnal Ilmiah Matrik Jurnal Sisfokom (Sistem Informasi dan Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknologi Informatika dan Komputer Journal of Computer and Information Systems Ampera Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Media Informatika Jurnal Nasional Pengabdian Masyarakat Jurnal Komputer, Informasi dan Teknologi International Journal Software Engineering and Computer Science (IJSECS) RESLAJ: Religion Education Social Laa Roiba Journal Ngabdimas Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Ilman Zuhri Yadi
Universitas Bina Darma
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : Journal of Information Systems and Informatics

 1 
Learning Vector Quantization 3 (LVQ3) Usage To Determine Recipients of the Family Hope Program (Case Study: Tanjung Lubuk District) Muhammad Deni Alfani; Ilman Zuhri Yadi
Journal of Information System and Informatics Vol 4 No 4 (2022): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v4i4.374

Abstract

The problem of poverty is a dilemma that the Government must solve. One of the Government's programs is the welfare program for the Family Hope Program (PKH). Tanjung Lubuk district, implementing the Family Hope Program experienced several obstacles in identifying PKH recipients, one of which was selection, limited, and close to officers so that it could lead to the provision of PKH assistance on target. Another problem is that the recipients of the data used are still using old data that has not been updated regularly, so many people who deserve assistance do not receive assistance. The research variables used were 35 variables. The output categories were entitled to receive and not entitled to receive PKH. The research method uses Learning Vector Quantization (LVQ) 3. The data are from 654 low-income families in Tanjung Lubuk District. The data used are 90:10 for practice data and 80:10 for test data. The learning rate values are 0.1, 0.3, 0.5, 0.7, and 0.9, while the learning rate reduction is 0.1, the minimum learning rate is 0.01, the window is 0.1, 0.5, and the m value is 0.1, 0.5. The accuracy obtained is 94.4%.
Rule-Based Transliteration of Ulu Kaganga Script using Character Mapping Yadi, Ilman Zuhri; Kunang, Yesi Novaria; Sari, Tia Permata; Mahmud, Mahmud; Ramadhona, Nuzulur
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.1000

Abstract

Ulu Kaganga script is a historical writing tradition that developed in the southern region of Sumatra. With the widespread use of Latin script, the Ulu Kaganga script has become rare, and very few people can read and write in this script. To preserve the Ulu script, a tool is needed to assist in transliterating Latin text into the Ulu script. This research aims to preserve the Ulu script with the help of technology. In this study, a mobile and web-based application has been developed to transliterate the Ulu Kaganga script from Latin text. The technique used for this script conversion is rule-based, which is employed to break words into syllables and map those syllables into Ulu script characters. Through the rule-based technique and character mapping, adding Indonesian syllables and writing Ulu Kaganga script characters, consisting of 1139 primary characters, becomes easy. This application has been repeatedly tested to improve the mapping of Ulu script characters. The results of testing the application to transliterate 1746 words from Latin script were successful in transliterating. The tests conducted show that the approach used is very effective, with a transliteration accuracy from Latin to Ulu script of 99.98% The testing results show that the application can transcribe text accurately and conveniently, allowing non-expert users to write in Ulu script characters.
Co-Authors Afiyudi, Afiyudi Afriyudi Aldi Hermawan Alex Wijaya Alhimni Alhimni Alsindo, Yanzen Amalia, Rahayu Andika, Muhamad Andri Andri Andri, Andri Anisa Kardiana Anjelina Anjelina Ayu Gahardina Bagas Hijra Primantara dedi irawan Dedi Irawan Deni Erlansyah Deska Novita Sari Dzakwan, Fadhlur Rahman Faishol, Ahmad Dzulfaqqor Fikri, M Gllen yusuf abbel Hamanrora, Muhammad Dio Hermawan, Aldi Kurniasih, Rani Tri Kurniati, Rafiqah Kusuma, Doni Lang Dimas Perkasa Leon Andretti Abdillah M Noufal Ikhsani M. Dimas Goworzky Mahmud Mahmud Maria Ulfa Miranda Khairunnisa Muhammad Deni Alfani Noperman Noperman Oktarina, Tri Oktaviani, Nia Oktaviani, Nia Permatasari, Susan Dian Prasetya, M. Iqbal Putra, M. Soekarno Rahmadini, Aulia Nurul Ramadhona, Nuzulur Reza Juanda Rio Ananda Fitriansyah Sapitri, Wulan Sari, Tia Permata Sisca Monita Suryayusra, Suryayusra Susan Dian Purnamasari Susan Dian Purnamasari, Susan Dian Suyanto Suyanto Suzi Oktavia Kunang Timur Dali Purwanto Toriko, Liu Yesi Novaria Kunang Yulianingsih, Evi Ziqrullah, Muhammad Hafiz