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All Journal JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Dinamisia: Jurnal Pengabdian Kepada Masyarakat Polingua : Scientific journal of Linguistics, Literature and Language Education MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Teknomekanik JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Vokasi Mekanika Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Proceeding Applied Business and Engineering Conference International Journal of Advanced Science Computing and Engineering Jurnal Akademik Pengabdian Masyarakat Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Testing dan Implementasi Sistem Informasi
Fazrol Rozi, Fazrol
Department Of Information Technology, Politeknik Negeri Padang, Indonesia
Religion Arts Humanities Automotive Engineering 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 Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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APPLIED MATHEMATICAL MODELING FOR 3D KINEMATIC SPATIAL RECONSTRUCTION IN A LOW-COST MONOCULAR WEBCAM-BASED SQUAT ANALYSIS SYSTEM Rozi, Fazrol; Primawati, Primawati; Komaini, Anton; Handayani, Sri Gusti
Jurnal Testing dan Implementasi Sistem Informasi Vol. 3 No. 1 (2025): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v3i1.2197

Abstract

Squat is a fundamental exercise for improving lower body strength; however, improper execution may increase the risk of musculoskeletal injury. Conventional motion analysis systems, such as marker-based technologies, provide high accuracy but require expensive equipment and controlled environments, while monocular camera-based approaches often suffer from limited three-dimensional representation. Therefore, this study proposes a low-cost squat analysis system, gui_mocap, which integrates monocular computer vision with vector-based mathematical modeling for real-time motion analysis. The system employs pose estimation to detect body landmarks and reconstructs joint kinematics in three-dimensional space using geometric vector operations. Knee joint angles are computed using the dot product formulation, and an Exponential Moving Average (EMA) filter is applied to improve measurement stability. Experimental evaluation was conducted using multiple squat repetitions to analyze motion patterns and consistency. The results demonstrate that the system can accurately identify key movement phases, including standing, deep flexion, and return to standing, while producing smooth and stable joint angle trajectories. Furthermore, the system is capable of analyzing repeated movements and generating descriptive statistics, such as average joint angles and range of motion, indicating consistent performance across repetitions. This study contributes a practical and affordable solution for real-time motion analysis using a monocular webcam, with potential applications in home-based exercise monitoring and basic rehabilitation.
Community-Based Development of Adaptive Digital SOPs for Hydroponic Farming at BGD Hydrofarm Fazrol Rozi; Yance Sonatha; Fitri Nova; Primawati Primawati; Muhammad Ridwan Kurniawan
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 2 (2026): May 2026
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v10i2.2180

Abstract

Background: Community-based hydroponic farming at BGD Hydrofarm faces challenges including manual monitoring, static Standard Operating Procedures (SOPs), and limited digital literacy, which reduce operational efficiency and accuracy. This community service program addresses these issues through the introduction of adaptive digital technologies. Purpose of the Study: This study aims to improve hydroponic management practices and strengthen community capacity by co-developing adaptive digital SOPs that support data-driven decision-making at BGD Hydrofarm. Methods: A participatory approach was applied, including needs assessment, co-design sessions, system development, training workshops, and participatory monitoring and evaluation. The GardenKeeper system integrates IoT-based sensors (monitoring pH, TDS, temperature, humidity, and plant visual condition) with generative artificial intelligence (Google Gemini AI) to provide real-time monitoring and adaptive SOP recommendations via a mobile application. Results: The program resulted in reduced manual workload, improved monitoring efficiency, and increased partner confidence in using digital technology. Behavioral shifts from experience-based to data-driven decision-making were observed, with SOP consultations becoming a shared reference for collective action. Partners independently operated the application, and external stakeholders (Ministry of Cooperatives and SMEs, IGES) recognized the system's potential scalability. The before-after comparison showed improved digital confidence, reduced operational errors, and strengthened collaborative decision-making.
An Expert System for Early Detection of Mental Health Conditions Using Certainty Factor and DASS-42 Indri Rahmayuni; Yance Sonatha; Tsalsabila Jilhan Haura; Fazrol Rozi
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2214

Abstract

Mental health problems such as depression, anxiety, and stress continue to increase in many countries, while access to professional services is still limited. Many digital screening systems use fixed scoring methods and do not consider uncertainty in user responses. This study developed a web-based expert system by combining the Depression Anxiety Stress Scales (DASS-42) and the Certainty Factor (CF) method to represent uncertainty in overlapping emotional symptoms and provide more flexible screening results. The knowledge base was prepared through consultation with a licensed clinical psychologist and converted into 42 production rules based on the DASS-42 items. Each rule was assigned a confidence value according to expert judgment. The system uses forward chaining to combine active rules and calculate confidence scores for depression, anxiety, and stress at the same time. System evaluation was conducted using 50 community cases aged 18–35 years and compared with independent expert assessment. The overall accuracy reached 86% (43 of 50 cases). The accuracy for each category was 88.2% for depression, 82.3% for anxiety, and 87.5% for stress. Most classification errors occurred between anxiety and stress, which may be related to overlapping symptoms in the DASS-42 instrument. The findings indicate that the proposed system can support early mental health screening through interpretable confidence-based results. However, this study used a limited dataset and only one expert in knowledge development. The system is intended as a screening support tool and not as a replacement for clinical diagnosis.
Co-Authors - Primawati - Yulherniwati Abdul Marfuad Aldo Erianda Ambiyar, Ambiyar Batara, Batara Bobby Kurniawan Cipto Prabowo Dedi Tri Laksono, Dedi Tri Dony Marzuki Efendi, Novi Fadhilah Oriyasmi Fadilillah, Fadli Fadli Fadilillah Faisal Amir Fanny Laila Safitri Fanny Laura Fauziah Wulandari Febri Prasetya Fiki Efendi Fithratul Miladiyenti Fitri Nova Fitri Nova Fitri Nova, Fitri Fitriani Fitriani Furqon, Muhammad Ariful Gun Faisal Gusman, Taufik Handayani, Sri Gusti Hanif Aulia Sabri Haslina, Welsi Hidra Amnur Humaira, Humaira Ikhsan Yusda Prima Putra Indri Rahmayuni Indri Rahmayuni Indri Rahmayuni IndriRahamyuni Irfan Kurniawan Komaini, Anton Mardalisa, - Maulana, Raihan Efel Meri Azmi Miladiyenti, Fithratul Muhammad Irsad Alfajri Muhammad Ridwan Kurniawan Najwa, Nina Fadilah Novi Yanti Oriyasmi, Fadhilah Primawati Primawati Primawati Primawati Primawati Primawati, Primawati Primawati, - Putri Huriati Rasyidah Rasyidah Rasyidah, - Rika Idmayanti Risa Safira Riyanto Sariani, - Sariani, Sariani SONY SUHANDONO Syafira Indah Maryam Syawaldipa, Ardi Tiara Ramayani Tsalsabila Jilhan Haura Wulansari, Rizki Ema Yance Sonatha Yufrizal Yufrizal ZukronAlviandyRahmadhan