Article Per Year (5 Year)
p-Index From 2021 - 2026
4.567
P-Index
This Author published in this journals
All Journal Jurnal Simetris Jurnal Sosioteknologi Jurnas Nasional Teknologi dan Sistem Informasi INFORMAL: Informatics Journal JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Jurnal Komputer Terapan Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Elektronika dan Telekomunikasi Jurnal ULTIMATICS SISFO KOMPUTIKA - Jurnal Sistem Komputer INTEGRITAS : Jurnal Pengabdian Journal of Innovation Information Technology and Application (JINITA) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Ilmu Komputer untuk Masyarakat Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Journal of Applied Agricultural Science and Technology Jurnal Pengabdian Masyarakat Bidang Sosial dan Humaniora Proceeding International Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) PAPUMA: Journal of Comunnity Services JGGAG (Journal of Games, Game Art, and Gamification)
Furqon, Muhammad Ariful
Departemen Informatika, Universitas Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
Implementation of Finite State Machine in Flowchart-Based Visual Programming Game Iqbal Al Mahdi; Saiful Bukhori; Muhammad Ariful Furqon
Journal of Games, Game Art, and Gamification Vol. 10 No. 3 (2025)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v10i3.12133

Abstract

This study explores the implementation of Finite State Machines (FSMs) in a visual programming game based on flowcharts, aimed at enhancing the learning experience of programming concepts. Traditional programming education methods often struggle to engage beginners, leading to the development of interactive and intuitive approaches such as visual programming games. In this context, FSMs are integrated to manage the behavior of game units, allowing for dynamic state transitions based on user-defined flowcharts. The research adopts the Game Development Life Cycle (GDLC) approach, focusing on initialization, pre-production, production, and alpha testing stages. The primary objective is to implement and validate the FSM's effectiveness in controlling unit behavior within the game. Users can design strategies through a drag-and-drop interface, creating flowcharts that translate into FSM models, which dynamically control unit actions during gameplay. Results from the alpha testing indicate that the FSM implementation successfully manages the transitions and behaviors of game units according to the conditions specified in the flowcharts. This demonstrates the technical feasibility and effectiveness of the approach. Although the study does not extend to beta testing and release stages, the alpha testing provides a solid foundation for future research and development focused on user experience and broader feedback.
Pendampingan Petani Melalui Aplikasi Smart Farming “GermasTani” di Desa Sukorejo Kabupaten Jember Ariful Furqon, Muhammad; Kusmiati, Ati; Puspaningrum, Diah
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 3 No. 4 (2025): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jiter-pm.v3i4.6839

Abstract

Salah satu desa di Kabupaten Jember yang masih menggunakan cara usahatani konvensional adalah Desa Sukorejo Kecamatan Bangsalsari. Kegiatan usahatani dilakukan secara turun temurun dan konvensional tanpa menggunakan Good Agricultural Practice. Berbagai macam permasalahan muncul seperti waktu tanam kurang tepat, pemupukan dilakukan kurang berimbang, dan penentuan harga hasil panen oleh tengkulak. Oleh karena itu dalam kegiatan pengabdian ini dikembangkan sebuah sistem smart farming berbasis mobile yang diberikan nama “GermasTani”. Tujuan kegiatan pengabdian adalah meningkatkan kemandirian digital petani melalui pendekatan teknologi dan pendampingan partisipatif. Metode yang digunakan meliputi pelatihan penggunaan aplikasi, pendampingan intensif selama enam bulan, pembentukan Kelompok Tani Digital. Dari hasil kegiatan dapat disimpulkan bahwa aplikasi “GermasTani” dapat meningkatkan literasi digital, bahkan di kalangan petani lanjut usia, berkat desain antarmuka yang inklusif.
Rice Deep Knowledge Graph-Based Expert System: An Intelligent Solution for Identifying Rice Pests and Diseases Furqon, Muhammad Ariful; Hidayat, Muhamad Arief; Retnani, Windi Eka Yulia; Santika, Gayatri Dwi
Journal of Applied Agricultural Science and Technology Vol. 10 No. 1 (2026): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v10i1.332

Abstract

Accurate diagnosis of rice pests and diseases is essential but often challenging using traditional methods, which are time-consuming and prone to human error. In this study, we propose the Rice Deep Knowledge Graph (RiceDKG) Expert System, which integrates deep learning techniques, particularly Long Short Term Memory (LSTM), with a Knowledge Graph to enhance symptom pattern-based diagnosis accuracy. This hybrid approach captures relationships among rice plant symptoms while leveraging systematically constructed domain knowledge. The system was evaluated on a dataset of 25 test cases, encompassing various symptoms such as brown spots, leaf curling, and fungal damage. Evaluation results demonstrate an overall accuracy of 84%, with 21 out of 25 cases correctly diagnosed, compared to expert evaluations. These findings indicate that integrating LSTM with knowledge graphs improves the system's ability to handle diverse diagnostic scenarios.
Co-Authors Ahmad Sonny Pranata Alifian Sukma, Alifian Apol Pribadi Ar Ruhimat, Qurrota A'yuni Ari Cahaya Puspitaningrum Ati Kusmiati Balthasar Watunglawar Deana Nathania Damayanti Deny Hermansyah Dwi Wijonarko Eki Saputra Eki Saputra El Maidah, Nova Endah Septa Sintiya Fajariyanto, Gama Wisnu Fazrol Rozi, Fazrol Firmansyah, Diksy Media Gama Wisnu Fajarianto Gayatri Dwi Santika Gun Faisal Harry Soepandi Herman Cahyo Diartho Hidayat, Muhamad Arief Iqbal Al Mahdi Irawan, Hendry Sakti Kartika, Vera Katarina Leba Komaria, Vida Leba, Katarina Madani, Anis Mochamad Bagoes Alfarazi Mohammad Ovi Sanjaya Mohammad Zarkasi Muhammad Zuama Al Amin Najwa, Nina Fadilah Naura, Lintang Arsa Nina Najwa Nova El Maidah Nur Aini Rakhmawati Okfalisa Oktavia, Nelly Priza Pandunata Puspaningrum, Diah Putri, Ikfira Agustina Rakhmawati, Nur A retnani, windy eka yulia Rita Sari Rizqi Alvian, Muhammad Bagus Saiful Bukhori Sayekti Harits Suryawan Setiawan, Juni Suyudi, Fadil Abdillah Vega Kartika Sari Vera Kartika Windi Eka Yulia Retnani Yanuandika Akbar Yanuar Nurdiansyah, Yanuar Yanuarti, Rizky Yosari Dwi Fadhillah Yudha Alif Auliya Zarkasi, Mohamad Zarkasi, Mohammad