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All Journal Traksi : Majalah Ilmiah Teknik Mesin Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin FLYWHEEL : Jurnal Teknik Mesin Untirta Teknika: Jurnal Sains dan Teknologi Prosiding Semnastek Turbo : Jurnal Program Studi Teknik Mesin Journal of Energy, Mechanical, Material and Manufacturing Engineering Jurnal Teknik Mesin Indonesia Journal of Applied Sciences and Advanced Technology ARMATUR : Artikel Teknik Mesin dan Manufaktur Dinamis Suara Teknik : Jurnal Ilmiah Jurnal Polimesin Jurnal Sains dan Teknologi
Riki Effendi
Universitas Muhammadiyah Jakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Optimization of IoT-Based Waste Sorting Algorithms in a Recycling System with a Capacity of 5 Kg Riki Effendi; Anwar Ilmar Ramadhan; Erwin Dermawan; Munzir Qadri; Franka Hendra
Journal of Applied Sciences and Advanced Technology Vol. 8 No. 2 (2025): Journal of Applied Science and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.8.2.35-42

Abstract

This study aims to develop and optimize an automatic waste sorting system based on the Internet of Things (IoT) with a 5 kg capacity. The Convolutional Neural Network (CNN) algorithm is used for waste type classification, while optimization is performed using Particle Swarm Optimization (PSO). The system is designed to recognize and sort four main types of waste: plastic, paper, metal, and glass. System performance is evaluated based on three main parameters: sorting accuracy, processing time, and energy consumption. The results show that algorithm optimization successfully increased the average sorting accuracy from 82.5% to 94.8%. Additionally, the waste processing time significantly decreased from 3.2 seconds to 1.8 seconds after optimization, indicating improved operational efficiency of the system. In terms of energy consumption, there was a reduction from 15.6 Joules to 9.4 Joules per sorting cycle, making the system more energy-efficient and environmentally friendly. The conclusion of this research indicates that the CNN algorithm optimized with PSO can enhance the accuracy, efficiency, and energy consumption of the IoT-based automatic waste sorting system. The implementation of this system is suitable for application in small-scale industrial or household sectors to effectively support waste recycling programs. Further research could focus on testing larger capacities and more complex environmental conditions.
Efficient Air-Based Thermal Management for Electric Two-Wheeler Batteries: A CFD Approach Munzir Qadri; Wahid Hasim; Erwinda Fenty Anggraini; Riki Effendi; Fadwah Maghfurah
SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Vol. 19 No. 1 (2025): SINTEK JURNAL
Publisher : Faculty of Engineering, Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/sintek.19.1.93-101

Abstract

Effective thermal management is critical for ensuring the performance, safety, and longevity of lithium-ion batteries (LIBs) in electric two-wheeled vehicles. This study develops a cost-efficient, air-based Battery Thermal Management System (BTMS) for a 460 Wh battery pack. As LIBs can convert up to 20% of input energy into heat due to internal resistance and electrochemical reactions, inadequate heat dissipation may lead to thermal runaway, potentially causing fire or explosion. Computational Fluid Dynamics (CFD) simulations were employed to explore and optimize various air-cooling configurations. The most effective design—identified through simulation—was experimentally validated using an electronic battery tester under high-current loads. Results indicate that an optimized push-pull air-cooling configuration significantly reduces peak battery temperatures and maintains them within safe operational limits, thereby enhancing battery reliability and extending its lifecycle. This work contributes to the advancement of practical and affordable thermal solutions for sustainable electric mobility, particularly in the low-power vehicle segment.
Analisis Efisiensi Daya dan Torsi Turbin Single Screw pada Pembangkit Listrik Tenaga Mikrohidro Mini di Irigasi Cariu Arief Rafi Faisal; Riki Effendi
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 3 No. 1 (2026): Juli - September
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

Penelitian PLTMH menggunakan turbin Archimedes screw dilakukan untuk menganalisis lebih lanjut efisiensi daya dan torsi pada turbin. Metode penelitian yang digunakan yaitu pengujiaan eksperimental dengan memanfaatkan saluran irigasi desa cariu sebagai tempat pengujian pada alat PLTMH (Pembangkit Listrik MikroHidro) menggunakan turbin Archimedes screw. Penelitian ini menggunakan beberapa parameter pengukuran seperti variabel kecepatan aliran rata-rata, ketinggian air yang mengalir pada saluran alat PLTMH, dan daya keluaran yang dihasilkan. Pengujian eksperimental pada alat PLTMH menggunakan turbin Archimedes Screw dilakukan pada tiga variasi sudut kemiringan poros 15°, 25°, 35° dan kecepatan aliran rata-rata 0.05 m/s, 0.15 m/s dan 0.25 m/s. keluaran dari penelitian ini yaitu debit aliran air, torsi, energi hidrolis, serta efisiensi daya yang dihasilkan oleh turbin Archimedes screw dengan memberikan korelasi hubungan antara bilangan Reynolds dan putaran turbin. Hasil dari pengujian tersebut menunjukkan bahwa kondisi sudut kemiringan poros 35° pada kecepatan aliran rata-rata 0.05 m/s didapatkan efisiensi daya sebesar 19% bilangan Reynolds yang dihasilkan berkisar 66245.75. Dari hasil penelitian ini menunjukkan bahwa meningkatnya kecepatan aliran rata-rata dan sistem pada geometri turbin memberikan kontribusi yang signifikan terhadap daya keluaran, torsi poros turbin yang dihasilkan serta efisiensi daya. Hasil ini memberikan pentingnya pemahaman mengenai pengaruh efisiensi daya turbin dan torsi putaran poros turbin pada bilangan Reynolds dan putaran RPM pada PLTMH menggunakan Turbin Archimedes screw untuk mencapai performa yang optimal.
Co-Authors . Roslidar Adi Candra Adi Candra, Adi Ahmad Yunus Nasution Ahmad Yunus Nasution Alan - Ramadhan Aldo Dwi Widyanto Alhamdi, Muhammad Jurej Alviansyah, Dede Anthon Rudy W Anwar Ilmar Ramadhan Arief Rafi Faisal Aulia Rahman Aznam Barun Bambang Setiawan Dandy - Rizaldy Didin DWI SURYANTO Edi Supriyadi Erwin Dermawan Erwinda Fenty Anggraini F Faozan Fachri Agung Fadwah - Maghfurah Fadwah Maghfurah Fadwah Maghfurah Fadwah Maghfurah Fadwah Maghfurah Febri Irianto Franka Hendra Franka Hendra Franka Hendra Franka Hendra Sukma Gunawan Hidayat Gunawan Hidayat Harmanung Adi Susilo Hendra, Franka Hendro Purwono Hendro Purwono Hendro Purwono Hutasoit, Jisman Iip Muhlisin Indra Setiawan Indriyati K, Retno Izza Ubaidilah Junaedi Junaedi Junaedi, Thomas M. Arief Hakim Mochammad Nurul Aini Morhan Sirait Muchtar, Kahlil Muhammad Al Haramain Muhammad Khumaidi Muhammad Lutfi Yasid Munzir Qadri Munzir Qadri Munzir Qadri Najamudin, Muhammad Nasution , Ahmad Yunus Nasution, Ahmad Yunus Pratama, Rikardo Putra, Bhagas Novanda Rasma Rasma Rasma Rasma Rasma Rasma Rijal Siswanto, Ahmad Rini Alfatiyah Rizqi Ardiansyah Robiansyah Nur Kholik Rudiarto Rudiarto Rudiarto, Rudiarto Rusmalah, Rusmalah Ruspendi Ruspendi Ruspendi, Ruspendi Safrizal Razali Sarwoko, Wanto Sofian Bastuti SUPRIYONO Supriyono Supriyono Taufik Taufik TH, Estiningsih Tofan Megawanto Wahid Hasim Windarta - Windarta Yudha Nurdin Yunus Nasution, Ahmad Z Zulpandri