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Powering The Archipelago: Accelerating Rural Electrification in Indonesia with Community-based Renewable Energy Wahono, Jaya; Wibowo, Djati; Nurhadiyanto, Mohammad Arif; Kartika, Surya Batara; Rizal, Irfansyah; Azmi, Abdul Luky Shohiful; Satriyo, Dodi Budi; Murbini, Adhi Nugroho
Mesin Vol 26, No 2 (2017)
Publisher : Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.338 KB) | DOI: 10.5614/MESIN.2017.26.2.1

Abstract

Large portion of the population in Indonesia lack access to electrical power, and 85% of these portion live in rural areas. This lack of access to electrical power means also lack of access to people’s fundamental needs. In addition, local industry cannot flourish without universal access of electricity among the population. Therefore, increasing access of electricity regardless where the population live is crucial to distribute wealth throughout the archipelago. The lack of access to electrical power in remote areas is primarily due to sparse population all over the country and limited power infrastructure. Additionally, most are generated by centralized power plants and therefore making it difficult to be distributed evenly to the entire country due to its archipelagic nature. Consequently, diesel fuel is used to generate power in remote areas, raising the cost of generation of electricity significantly while hindering the local community to get equitable and reliable access of electricity. Our solution to this particular problem is to develop distributed power generation system where each small areas will be provided with their own electrical power generator. This distributed power generation system is not only powered by local renewable energy source but it will also enhance the economic activities in the area. Distributed power generation will also contribute to a more equitable, reliable, affordable, and sustainable electricity in remote areas. By promoting distributed renewable energy in Indonesia, we believe that it will bring about the transition to the use of renewable energy source to generate electrical power in the entire country.
Development of 3D Printed Autonomous Warehouse Robot Using Mecanum Wheel and Robot Arm Hadisujoto, Budi; Rabbani, Ariq Naufal; Saptaji, Kushendarsyah; Fernandez, Nikolas Krisma; Wibowo, Djati
Journal of Applied Sciences and Advanced Technology Vol 6, No 2 (2023): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.6.2.57-64

Abstract

Industrial revolution 4.0 has affected many industries, including warehouse management. Warehouse management so far has progressed with the introduction of automation, i.e. using warehouse robots to improve the flow of the warehouse management. This work discusses and builds a 3D-printed warehouse robot prototype in the form of mobile manipulator with mecanum wheel. The mecanum wheel is chosen for better kinematics movement. The prototype warehouse robot is designed to accept command wirelessly through Bluetooth via an Android application. The prototype robot was successfully built and tested. The movement test shows it can move freely in any direction due to the mecanum wheel. However, the robot still has poor repeatability and reliability. Based on the result, the prototype can serve as a basis for an affordable warehouse robot, and the future work to improve the repeatability and reliability of the robot is strongly encouraged.
Implementation of 5S for the Small Business Workshop and Machine Shop: Community Service in RTG Custom Project Workshop Saptaji, Kushendarsyah; Hadisujoto, Ignatius Budi; Wibowo, Djati; Ifat; Putra, Indra Pertama; Nurprihatin, Filscha; Oktaviandri, Muchamad; Abdillah, Sultansyah Reza; Handika, Raditya Edra Raja; Lanaggalih, Jarvis Eros; Wong, Miguel Silvano Hermawan
Journal of Community Services: Sustainability and Empowerment Vol. 4 No. 02 (2024): September 2024
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v4i2.503

Abstract

The implementation of the Japanese 5S methodology in a small motorcycle workshop in Bogor, Indonesia, has demonstrated significant improvements in workplace organization, operational efficiency, and safety. As Indonesia continues to lead motorcycle sales in the ASEAN region, the need for well-structured and efficient workshops becomes increasingly critical. However, many small businesses still struggle with inadequate organization and risk management. By applying the 5S principles—Sort (Sisih), Set in Order (Susun), Shine (Sapu), Standardize (Standar), and Sustain (Sinambung)—the workshop experienced reduced disorder, improved workflow, enhanced cleanliness, and well-defined procedures. These changes positively impacted productivity, workplace safety, and customer perception. Initial resistance to change was mitigated through comprehensive training and staff engagement, ensuring long-term adoption. This initiative aligns with Sampoerna University’s commitment to community development and serves as a scalable model for small businesses. With adequate government and NGO support, the 5S framework can enhance efficiency, competitiveness, and working conditions in Indonesia’s expanding motorcycle industry.
Economical 3D-Printed Robotic Arm for Educational Training Purpose Hadisujoto, Budi; Budiarta, Wahyu Nur; Frandito, Raffy; Saptaji, Kushendarsyah; Triawan, Farid; Wibowo, Djati; Ong, Janice
Jurnal Teknologi Vol. 17 No. 2 (2025): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.17.2.89-100

Abstract

The advancement of Engineering technology requires universities as the frontier to educate engineering students with the latest skillset. Fast progress of Artificial Intelligence (AI) shown by the recently released of open AI such as ChatGPT, Genius, etc., has opened a new trend of technological tools. Hence, it is necessary or it can be said a must to train future engineers how to at least use these tools. Robotics and automation have long been used to assist humans in manufacture, logistic, health, and many other areas. Implementing AI into robotics creates intelligent systems which are predicted to be widely used. However, for educational institutions, especially in developing countries, the cost to afford the training robot equipment is still pricy. Here, we present designing and building of an economical robotic arm using 3D printed parts and open sources. The robot arm has six Degrees of Freedoms (DoF) and capable of lifting about 450 grams of maximum load. Some suggestions include future development are presented.