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All Journal Jurnal Informatika dan Teknik Elektro Terapan JURNAL TEKNOLOGI DAN OPEN SOURCE JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) bit-Tech G-Tech : Jurnal Teknologi Terapan Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian Masyarakat Bhinneka Nusantara of Engineering (NOE) Jurnal Pengabdian Masyarakat Bangsa Journal of Artificial Intelligence and Technology Information Horizon: Indonesian Journal of Multidisciplinary E-Amal: Jurnal Pengabdian Kepada Masyarakat Journal of Education and ICT
Taufiq Agung Cahyono
Universitas Bhinneka PGRI, Indonesia
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 Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Analisis Kemudahan Interaksi Pengguna dengan Disabilitas Motorik pada Aplikasi Grab Menggunakan Fitts’law dan Task Based Performance (Studi Kasus LKS Sahabat Kita) Sofianingsih, Leny; Cahyono, Taufiq Agung
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 4 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.7000

Abstract

This study aims to evaluate the ease of interaction for users with motor disabilities on the Grab application using Fitts' Law and Task-Based Performance methods. The study applied a quantitative approach involving 35 people with motor disabilities at LKS Sahabat Kita in Tulungagung Regency as respondents. Data were collected through observation, measuring task completion times, recording success and error rates, and analyzed using Fitts' Law to measure interaction difficulty and Task-Based Performance to evaluate interface effectiveness. The results showed that the Grab application has a low level of interaction difficulty with an Index of Difficulty (ID) value of 1.36–2.00. This finding is supported by a high task completion success rate (85.71%–100%) and a relatively short task completion time, indicating that most application features can be operated well by users with motor disabilities. However, several interface elements were still found to potentially hinder interaction and therefore require improvements to improve accessibility. This study contributes as an empirical basis for the development of application interfaces that are more inclusive and user-friendly for users with motor disabilities.
Error Checker Berbasis Neural Network pada Pembentukan Soal Cerita Matematika Dasar Ferri Nurdiansah; Agung Prasetya; Taufiq Agung Cahyono
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 3 (2026): Volume 4 Number 3 September 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i3.316

Abstract

Soal cerita matematika (Math Word Problem/MWP) berperan penting dalam melatih kemampuan penalaran logis siswa Sekolah Dasar. Perkembangan Large Language Model (LLM) telah memungkinkan pembuatan soal secara otomatis, namun soal yang dihasilkan kerap mengandung berbagai jenis kesalahan. Penelitian ini bertujuan: (1) mengembangkan dataset MWP berbahasa Indonesia beranotasi 11 kategori kesalahan secara multi-label; (2) merancang model multi-label classification berbasis IndoBERT dan Feed Forward Neural Network (FFNN) untuk mendeteksi kesalahan secara simultan; serta (3) mengevaluasi kinerja model menggunakan metrik Micro F1-Score, Macro F1-Score, dan Hamming Loss. Dataset dikembangkan melalui error-inducing prompting, menghasilkan 2.517 soal cerita yang dianotasi secara manual oleh dua anotator dengan rasio pembagian 80:20 menggunakan stratified random sampling. Model dilatih selama 40 epoch dengan Binary Cross Entropy loss dan optimizer AdamW. Model optimal diperoleh pada epoch ke-13 dengan validation loss 0,2616. Evaluasi pada testing set menghasilkan Micro F1-Score sebesar 0,7657, Macro F1-Score sebesar 0,7631, dan Hamming Loss sebesar 0,1387. Topic Unsafety mencapai F1-Score sempurna (1,000) dan Misspellings mendekati sempurna (0,986), sementara Grade Mismatch menjadi kategori paling sulit dideteksi (F1 = 0,591). Penelitian ini menyimpulkan bahwa pendekatan multi-label classification berbasis IndoBERT efektif untuk deteksi error pada MWP berbahasa Indonesia.
Analisis Sentimen Sikap Publik terhadap Konten Deepfake di Tiktok melalui Model Deep Learning Indobert firlana, firlana eza putra; Sari, Yayak Kartika; Cahyono, Taufiq Agung
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/zmrpnq33

Abstract

Abstract. The rapid advancement of artificial intelligence has enabled the creation of deepfake content that is increasingly realistic and difficult to distinguish from authentic media. The widespread dissemination of deepfakes on social media, particularly TikTok, has generated diverse public responses due to risks of misinformation, opinion manipulation, and ethical concerns. As one of the most popular platforms in Indonesia, TikTok provides a space for public opinion through user comments. This study aims to analyze public sentiment toward deepfake content on TikTok using a deep learning approach based on the IndoBERT model. The dataset consists of 4,000 Indonesian-language comments collected through web scraping using deepfake-related keywords. Sentiment labeling was conducted using a lexicon-based approach and classified into positive, neutral, and negative categories. The research process includes text preprocessing, data splitting, and IndoBERT fine-tuning. Model performance is evaluated using accuracy, precision, recall, and F1-score. The results show that negative sentiment dominates, indicating public concern over potential misuse of deepfake technology. This study provides insights for policymakers and platform stakeholders.
Pengembangan Sistem Service Elektronik dengan Fitur Chatbot dan Integrasi Whatsapp pada Rama Jaya Service Electronic Menggunakan Framework Laravel Arianto, Rifky Dio; Sari, Yayak Kartika; Cahyono, Taufiq Agung
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/x8c8yz96

Abstract

This study aims to develop a web-based electronic service system at Rama Jaya Service Electronic to improve the effectiveness of repair service management and customer communication. The study uses the Agile Kanban software development method, which allows the development process to be carried out in stages and adaptively according to user needs. Research data was obtained through observation, interviews, and literature studies. The system was developed using the Laravel framework with a MySQL database and is equipped with service management, transaction, chatbot, WhatsApp integration, and user dashboard features. The system quality was evaluated through Black Box Testing, System Usability Scale (SUS), and GTmetrix to assess aspects of system functionality, usability, and performance. The results of the study indicate that the developed system is able to support the management of electronic services more effectively and structured, accelerate the delivery of information to customers, and improve service quality. Thus, the developed web-based electronic service system can be a solution to support the digitalization of business processes at Rama Jaya Service Electronic.
Pengembangan Aplikasi GPS Tracking Dan Laporan Digital untuk Mendukung Monitoring Personel Lapangan di Polres Tulungagung Ardiansyah, Diva Yudis; Cahyono, Taufiq Agung; Prasetya, Agung
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/mn9whd36

Abstract

Penelitian ini bertujuan mengembangkan Aplikasi GPS Tracking dan Laporan Digital yang dapat digunakan secara operasional di lingkungan Polres Tulungagung. Metode yang digunakan adalah Research and Development (R&D) dengan model pengembangan ADDIE (Analysis, Design, Development, Implementation, Evaluation). Sistem yang dikembangkan terdiri dari dua komponen utama, yaitu dashboard web berbasis Laravel untuk administrator dan aplikasi mobile berbasis Flutter untuk personel lapangan. Integrasi real-time diwujudkan melalui Pusher WebSocket dengan mekanisme fallback polling REST API, serta algoritma Dead Reckoning berbasis formula Haversine untuk menghasilkan animasi pergerakan marker yang mulus pada render loop 60 FPS. Fitur utama sistem meliputi GPS tracking real-time dengan visualisasi peta interaktif menggunakan Leaflet.js dan flutter_map, manajemen instruksi dan jadwal patroli, pelaporan digital dengan lampiran foto dan video, checkpoint lokasi, ekspor laporan PDF menggunakan DomPDF, serta autentikasi berbasis Role-Based Access Control (RBAC). Background service foreground Android memastikan pelacakan GPS tetap berjalan meskipun aplikasi diminimisasi. Hasil implementasi menunjukkan seluruh fitur yang direncanakan berhasil dikembangkan dan berfungsi sesuai kebutuhan operasional Polres Tulungagung.
Rancang Bangun Sistem Informasi Manajemen Administrasi pada Bnn Kabupaten Trenggalek dengan Metode Feature-Driven Development Safa’a, Tri Anandhya; Cahyono, Taufiq Agung; Prasetya, Agung
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 4 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.6830

Abstract

Administrative management at the Trenggalek Regency National Narcotics Agency (BNN) is currently handled manually using physical logbooks and Microsoft Excel, resulting in inefficient administrative processes, a lack of data integration, and suboptimal document disposition workflows. This study aims to design and develop a web-based administrative management information system using the Feature-Driven Development (FDD) method. The system was developed using PHP and the Laravel framework, incorporating features for managing incoming and outgoing correspondence, official orders, document dispositions, a digital guestbook, and vehicle reports. System testing was conducted using Black Box Testing and the System Usability Scale (SUS). Black Box Testing results indicated that all 16 test scenarios for the system's core features were successful, achieving a 100% success rate. These tests covered login and validation processes, correspondence management, official orders, dispositions, the digital guestbook, vehicle reports, and date-based data filtering. Meanwhile, the SUS evaluation yielded a score of 76.5—categorized as "OK" with a grade of C—which exceeds the benchmark score of 68. Consequently, the system successfully performs all designed functions and demonstrates a good level of user acceptance, making it suitable for supporting integrated and computerized administrative management at BNN Trenggalek Regency.
Co-Authors Agung Prasetya Agung Prasetya Agung Prasetya Agung Prasetya Ardana Halim Wiradhika Ardiansyah, Diva Yudis Arianto, Rifky Dio Fahrezi, Dion Maulana Fahrur Rozi Faturrahim, Muhammad Ferri Nurdiansah firlana, firlana eza putra FITRIYASARI, MALIATUL Iskandar, Joko Minanurohman, Muhamad Adib Mochamad Affan Sabilla Firdos Mohamad Khoirul Ansor Mukti, Ricky Fajar Nisa Ayu Cahyaningrum Raharjo, Artha Khemal Febrianto Safa’a, Tri Anandhya Sari, Norma Novita Sari, Yayak Kartika Sofianingsih, Leny Tias Hafidzotul Luthfiana Vetrick Aringga Dicktiony Racero Wildasieputra, Wahyu