Article Per Year (5 Year)
p-Index From 2020 - 2025
2.57
P-Index
This Author published in this journals
All Journal Jurnal EMT KITA Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Education Enthusiast : Jurnal Pendidikan dan Keguruan AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) International Journal Education and Computer Studies IKHLAS: Jurnal Pengabdian Dosen dan Mahasiswa Jurnal Manajemen Sistem Informasi Jurnal Indonesia : Manajemen Informatika dan Komunikasi kawanad Afkarina : Jurnal Pendidikan Agama Islam Jurnal Sistem Komputer (SISKOM) Jurnal Ilmu Komputer dan Teknologi Informasi Computer Journal Journal Digital Technology Trend
Muhammad Wali, Muhammad
Unknown Affiliation
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Aplikasi Prediksi Produksi Cabai dengan Algoritma C.45 untuk Dinas Pertanian Provinsi Aceh Berbasis Web Afkar, M Kadafi; Wali, Muhammad; Imilda
Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 1 No. 1 (2024): Maret
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jikti.v1i1.732

Abstract

This research develops a chili production prediction application using the C.45 algorithm for the Aceh Province Agriculture Service. Weather data and chili prices from 2022-2023 are used to build a prediction model. After going through the data selection, preprocessing, and transformation stages, the C.45 algorithm model was successfully built and tested with new data. The results show a prediction accuracy of 84.03%. Furthermore, this model is implemented in the form of a web application which includes various features such as public pages, calculation of prediction results, graphs, and admin pages. Research shows that the use of the C.45 algorithm and this application has the potential to support agricultural decision making and planning in Aceh. Suggestions for further research include adding additional variables such as soil quality and socio-economic factors, as well as exploring remote sensing technology and other machine learning methods to increase prediction accuracy. Evaluation of the impact of using the application is also recommended to measure its effectiveness in supporting sustainable agriculture in Aceh
Co-Authors Abdus Salam, Abdus Afkar, M Kadafi Ahmad, Lukman Akbar, Rizaldi Al Bahri, Fauzan Putraga Aprizal, Daniel Budi Yanto, Budi Burhanuddin Damanhuri Dimas Sasongko Elfiadi Haikal, M. Hafid Idwan, Harry Imilda Intan, Cut Iqbal, Taufiq Ismail Khairul Amri Kridoyono, Agung Lusiana, Erda MUHAJIR Muliadi, Mus Munira, Widia Muslem Muslem, Muslem Nasir Ogidia Bella, Novica Rafiqah, Nurul Safrizal Safrizal Sa’adah, Salamatus Sudaryanto, Aris Suhermanto, Suhermanto Syafwandhinata, Jhony Syamsul Rizal Wati, Putri Kurnia Zainab, Iin