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All Journal Nexus Kedokteran Klinik Sari Pediatri Paediatrica Indonesiana Al-Ta'dib: Jurnal Kajian Ilmu Kependidikan J-EBIS (Jurnal Ekonomi dan Bisnis Islam) Jurnal Laut Khatulistiwa Jurnal As-Salam Indonesian Journal of Medicine Journal of Maternal and Child Health Al-Ta'lim JURNAL CRANKSHAFT Jurnal Teknik Mesin Indonesia Pendekatan Kebijakan Publik dalam Politik Pendidikan Islam Bakti Budaya: Jurnal Pengabdian kepada Masyarakat Jurnal Abdikarya : Jurnal Karya Pengabdian Dosen dan Mahasiswa Jurnal Pengabdian Masyarakat As-salam Jurnal Riset Kelautan Tropis (J-Tropimar) Jurnal Manajemen Sistem Informasi Geosains Kutai Basin Jurnal El-Hadhary: Jurnal Penelitian Pendidikan Multidisiplin Iltizam : Jurnal Ekonomi dan Keuangan Islam Law & Pass : International Journal of Law, Public Administration and Social Studies Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Jurnal Medika: Medika Proceedings of The International Conference on Multidisciplinary Science Journal of Applied Science and Advanced Engineering Jurnal Ilmu Komputer dan Teknologi Informasi Journal Dekstop Application (JDA) Rekayasa Mekanika: Jurnal Ilmiah Teknik Mesin Jurnal Geosaintek Jurnal Ilmiah Ilmu Kesehatan
Muhammad Riza
niversitas Lambung Mangkurat
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Journal : Journal of Applied Science and Advanced Engineering

 1 
Development of Simulator for Smart Anti-Flooding Systems: Fostering Hands-On Learning in University Education Muhida, Riza; Riza, Muhammad; Murwadi, Haris; Nurhasanah, Any; Legowo, Ari; Harsoyo, Agung
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.54

Abstract

The Flooding remains one of the most challenging natural disasters, causing widespread damage and disruption across urban and rural areas. As the frequency and intensity of floods increase due to climate change and urbanization, there is a growing need for effective flood management systems. This paper presents the development of a **Smart Anti-Flooding System (SAFS)** simulator designed to enhance hands-on learning for university students, particularly in engineering, disaster management, and environmental science programs. The SAFS integrates sensors, microcontrollers, pumps, and photovoltaic (PV) panels into an autonomous flood management system, offering students the opportunity to bridge the gap between theoretical knowledge and real-world application. The simulator monitors water levels using ultrasonic and level sensors, while controlling pumps and servo motors based on real-time data, enabling automatic water redirection in flood-prone areas. Powered by renewable energy, the system incorporates sustainability into flood management, making it a relevant tool for both education and disaster resilience. This paper highlights the SAFS's integration into university curricula, the learning outcomes achieved, and feedback from students who used the system. The results indicate that the simulator significantly enhances students' practical skills, fosters collaboration, and promotes a deeper understanding of disaster management through experiential learning
Utilization of IoT for Measuring Hydrogen Production in a Photovoltaic-Solid Polymer Electrolyte (PV-SPE) System Muhida, Riza; Riza, Muhammad; Harsoyo, Agung; Murwadi, Haris; Legowo, Ari
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.55

Abstract

The integration of the Internet of Things (IoT) technology into a Photovoltaic-Solid Polymer Electrolyte (PV-SPE) system offers an innovative solution for monitoring and optimizing hydrogen production in real time. This study presents the design and implementation of an IoT-based monitoring system for a PV-SPE hydrogen production system, utilizing ESP32 microcontrollers to collect and transmit critical operational data, including voltage, current, temperature, humidity, and hydrogen flow rate, to the Adafruit IO cloud platform. A Maximum Power Point Tracking (MPPT) controller was employed to optimize power transfer from the solar panel to the SPE electrolyzer, ensuring maximum efficiency in the electrolysis process. Experimental results confirmed that hydrogen production rates correlate directly with PV power output, with the IoT-enabled system providing efectively measurement compared to conventional methods. The system demonstrated stable data acquisition, real-time monitoring, and remote accessibility, allowing users to track hydrogen generation performance efficiently. This study concludes that the combination of IoT, renewable energy, and electrolysis technology enhances the efficiency, and scalability of hydrogen production systems
Experimental Development of a PIC-Based Intelligent Energy Management Controller for Voltage Regulation and Load Prioritization in Standalone Photovoltaic Home Systems Muhida, Rifki; Legowo, Ari; Riza, Muhammad; Adesta, Erry Y. T.; Muhida, Riza
Journal of Applied Science and Advanced Engineering Vol. 4 No. 2 (2026): JASAE: September 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i2.88

Abstract

This paper presents the experimental development and evaluation of a PIC16F877A-based intelligent controller for voltage regulation and load prioritization in standalone photovoltaic (PV) home energy systems. The proposed system integrates a photovoltaic panel, battery storage, inverter, and embedded controller into a unified platform for efficient energy management. The controller continuously monitors battery voltage using an analog-to-digital converter and implements a threshold-based control strategy to disconnect non-critical loads when the voltage drops below 11.7 V. Experimental results show that the PV system maintains stable voltage characteristics within approximately ±3%, while the output current varies significantly with solar irradiance, exhibiting fluctuations of more than 60% under varying environmental conditions. The proposed controller effectively regulates system operation by dynamically managing load distribution, thereby preventing deep battery discharge and improving overall system reliability. In addition, the integration of auxiliary subsystems, such as automatic lighting and motion detection, enhances energy efficiency by reducing unnecessary power consumption. The findings demonstrate that the proposed low-cost PIC-based controller provides a practical and effective solution for intelligent energy management in standalone PV systems, particularly in off-grid residential applications.
An Experiential Learning Framework for Mobile Robot Control Education Using PID-Based Path Tracking Muhida, Rifki; Muhida, Riza; Adesta, Erry Y. T.; Riza, Muhammad; Legowo, Ari
Journal of Applied Science and Advanced Engineering Vol. 4 No. 1 (2026): JASAE: March 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i1.89

Abstract

Mobile robot path tracking is a fundamental problem in control systems and robotics and has been widely utilized as a platform for integrating multidisciplinary concepts in mechatronics education. This study proposes an experiential learning framework for mobile robot control using a PID-based path tracking approach. The framework integrates theoretical control principles with hands-on implementation through the development of a differential-drive mobile robot equipped with reflective sensor arrays and a microcontroller-based control unit. The PID controller is applied to regulate robot motion based on real-time feedback, and its parameters (Kp, Ki, Kd) are tuned experimentally using a structured trial-and-error procedure. Experimental results indicate that the PID controller improves tracking stability and reduces oscillatory behavior compared to proportional-only control. The optimal parameter configuration (Kp=0.8, Kd=0.32, Ki=0.2) achieves stable tracking performance across different trajectory conditions, including curved paths. From an educational perspective, the proposed framework supports experiential and project-based learning by enabling systematic analysis of control system behavior through iterative experimentation. This work provides a practical and scalable approach for integrating control theory and robotic implementation in mechatronics education.
Co-Authors Abdus Salam, Abdus Adesta, Erry Y. T. Afkar, M.Khadafi Agung Harsoyo, Agung Ahmad, Hidayat Ahmad, Lukman Akbar Saputra, Fauzi Annang Giri Moelyo Anugrah Aditya Budiarsa, Anugrah Anwar, Iwan P Any Nurhasanah Ari Legowo Arifin, Muhammad Anugrah Awaliyah, Kurnia Ayuningtyas, Dewi Sitoresmi Azmi, Farhan Alfarizi Bambang Pratowo Bambang Soebagyo Bangko, Ulan Sundari Bernawis, Lamona I. Boediman, Manasye Micel boy, la Brian Wasita Dedyerianto, Dedyerianto Dessy Damayanti, Dessy Dian Agus Ruchliyadi Dicky Wirianto Dini Safitri Zahara Elistasari, Endra Yustin Erry Yulian Triblas Adesta Evalda, Putri Fahriansah, Fahriansah Febriana, Annisa Halistin, Halistin Hari Wahyu Nugroho Haris Murwadi Harmoko, Muh. Harsono Salimo Hendra Wardhana Henry Aspan Husnia Auliyatul Umma, Husnia Auliyatul Idris Mandang Idris Mandang, Idris Idulhaq, Mujaddid Ikrar Pramudya, Ikrar Ilma Anisa Imilda Indra Surya, Indra Irwan Ramadhan Ritonga Isnandar Slamet, Isnandar Kawuryan, Diah Lintang Kunarto Kunarto Lilik Wijayanti Maidawati, Anisa MARDIANA Maria Ulfah Muhamad, Zein Muhammad Zalnur Muhida, Rifki Mujahidah, Fatimah Fitriani Mulyana Munadiati Mustaid Yusuf Mustakim Mustakim Mutmainnah Mutmainnah Najwan Al-Ghifari Nanda Khoirunisa Nugroho, Angeline Duana Yashintia Prasetyadi Mawardi Prasetyorini, Budi Eko Putri, Mutiara Rachmat Putrimingtyas, Deta Qori Fajar Hermawan Rahmawati, Risma Dwi Rahmiati Ramadhan, Qeis Riansyah, Firman Riyanto, Handoko Riza Muhida Riza Zarzani, T. Safitri, Nur Saputra, Rhyan Darma Saputro, Harjono Silahuddin Silahuddin Soestrisno, Soestrisno Sri Martuti Suminah Syibran Mulasi Tatipatta, willem M. Tia Tanjung, Tia Triblas Adesta, Erry Yulian Valentina Lakhsmi Prabandari Vidya, Pridania Vitri Widyaningsih Wasono, Wasono Wayanshakty, Janur Wiyani, Riski Indah Yusuf, Mustaid Zahidah, Fairuz Zetsaona Sihotang