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All Journal Indonesian Journal of Science and Technology Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) Scientific Journal of Mechanical Engineering Kinematika
Ramdhani Ramdhani
Universitas Pendidikan Indonesia
Automotive Engineering Computer Science & IT Education Energy Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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ANALISIS ERGONOMI MENGGUNAKAN METODE QUICK EXPOSURE CHECKLIST PADA PRAKTIKAN BIDANG KEAHLIAN CHASSIS OTOMOTIF Ramdhani, Ramdhani; Noor, Ridwan A. M.
Journal of Mechanical Engineering Education Vol 5, No 1 (2018): Juni
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmee.v5i1.12624

Abstract

Penelitian ini bertujuan untuk mengetahui seberapa besar tingkat risiko ergonomi pada saat praktik chassis otomotif pada kompetensi roda dan ban. Penelitian ini merupakan penelitian deskriptif kuantitatif. Subjek pada penelitian ini diambil menggunakan teknik sampling jenuh yaitu mahasiswa Departemen Pendidikan Teknik Mesin konsentrasi otomotif angkatan 2014. Pengumpulan data dengan dengan cara teknik observasi dan kuesioner. Instrumen pengumpulan data terdiri dari dari lembar observasi dan kuesioner. Metode yang digunakan untuk menganalisis posisi tubuh adalah Quick Exposure Checklist (QEC) . Metode QEC menganalisis pajanan pada  punggung, bahu/lengan, pergelangan lengan/lengan, dan leher. Metode ini tidak hanya menilai pajanan pada tubuh tetapi durasi, beban benda kerja, dan tingkat kesulitan pekerjaan masuk kedalam kriteria penilaian. Kompetensi roda dan ban dipilih karena dinilai memiliki tingkat resiko ergonomi yang tinggi. Pada tubuh persentil 95 didapat 59%, tubuh persentil 50 didapat 59%, tubuh persentil 5 didapat 52,2%, yang berarti harus diselidiki dan segera dirubah untuk mengurangi risiko ergonomi. Peneliti menyarankan alat bantu praktik  untuk mengangkat dan memindahkan beban yang bisa disesuaikan menurut data antropometri.
Biomass-Based Supercapacitors Electrodes for Electrical Energy Storage Systems Activated Using Chemical Activation Method: A Literature Review and Bibliometric Analysis Ida Hamidah; Ramdhani Ramdhani; Apri Wiyono; Budi Mulyanti; Roer Eka Pawinanto; Lilik Hasanah; Markus Diantoro; Brian Yuliarto; Jumril Yunas; Andrivo Rusydi
Indonesian Journal of Science and Technology Vol 8, No 3 (2023): (ONLINE FIRST) IJOST: December 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v8i3.60688

Abstract

Currently, carbon derived from biomass waste or residues is being intensively utilized as electrodes due to its excellent electrical properties, including high conductivity, appropriate porosity, and a specific surface area suitable for supercapacitor applications. Despite its advantages, the performance of supercapacitors made from biomass-derived carbon is insufficient for engineering applications because of the challenges in obtaining the mesoporous structure of activated carbon (AC). Therefore, this study highlights the potential of biomass-based carbon as the electrodes of a highly efficient supercapacitor, which can facilitate highly efficient current transport in energy storage systems. It comprehensively discusses various biomass material sources and activation methods to produce carbon, with a focus on the physical and electrical properties. Initially, the study discusses carbon activation methods and mechanisms to understand why activating agents and electrolyte solutions have a high specific surface area and specific capacitance. It then concentrates on the chemical activation method and its importance in making AC useful as an efficient electrode. Finally, in this study, various biomass sources were discussed to highlight the performance of supercapacitors electrodes originating from agricultural and wood residues relating to the specific capacitance and capacitance retention. Based on the obtained results, it is concluded that biomass-based carbon materials could be the most advantageous platform material for energy conversion and storage.
RANCANG BANGUN SISTEM PERINGATAN KANTUK PADA PENGENDARA SEPEDA MOTOR BERBASIS FUZZY LOGIC Daniel Moses Samosir; Aditya Bayu Setyaji; Ramdhani Ramdhani; Yusep Sukrawan
Scientific Journal of Mechanical Engineering Kinematika Vol 9 No 1 (2024): SJME Kinematika Juni 2024
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v9i1.311

Abstract

Motorcycle riders are basically required to drive with awareness of orderly behavior on the road. However, the fact is that many motorbike accidents are still caused by negligence, one of which is drowsiness while driving. This research aims to develop a fuzzy logic-based drowsiness prevention tool for motorcyclists. This tool goes through 4 stages of testing, namely power supply, sensor, microcontroller and actuator. The results of testing are that the power supply on this tool functions well, the tools on the motorbike and helmet function well according to the program designed on the microcontroller, the pulse sensor designed for motorbikes does not function as it should, so for temporary research the Max sensor is used 30100 as a pulse reader, buzzer, vibrator and relay in this tool functions well and is more accurate compared to previous research according to the fuzzy rules that have been programmed. The use of sensors on the wrist has proven to be effective in detecting pulse, so that the accuracy of sleepiness readings is in line with pulse readings, namely 100%, which is a follow-up to previous research. Fuzzy logic on the device influences the microcontroller to work accurately according to what has been programmed.
Co-Authors Aditya Bayu Setyaji Andrivo Rusydi Apri Wiyono Brian Yuliarto Budi Mulyanti Daniel Moses Samosir Ida Hamidah Jumril Yunas Lilik Hasanah Markus Diantoro Noor, Ridwan A. M. Roer Eka Pawinanto, Roer Eka