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All Journal Universal Journal of Science and Technology Jurnal Pengabdian Masyarakat dan Riset Pendidikan Scripta Economica: Journal of Economics, Management, and Accounting
Erwan Darmawan
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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STUDY OF ELECTRONIC WASTE INVENTORY SYSTEM (E-WASTE) FROM HOUSE HOLD IN PAMENGKANG VILLAGE Wirani, Ayu Puspa; Octoberry Julyanto; Wiwik Eko Pertiwi; Ghina Rizqandi Q.A; Erwan Darmawan
UJoST- Universal Journal of Science and Technology Vol. 2 No. 2 (2023): September 2023
Publisher : Faculty of Science and Technology University of Pramita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11111/ujost.v2i2.147

Abstract

E-waste is all objects included in a wide variety of electronic devices and their developments ranging from large household electronic equipment such as refrigerators, air conditioners, cell phones, stereo systems, and other consumptive electronic devices, to computers that are discarded by their owners. This study aims to determine the potential amount of used electronic goods (E-Waste), the amount of electronic waste generation, electronic waste management and the potential value of electronic waste recycling generated by the community which if not managed will cause a negative impact on the environment and public health of Pamengkang Village, Kramatwatu District. The type of research used is descriptive and qualitative research with research techniques using surveys. This research uses literature and field research such as interviews, observations and questionnaires. with a sample of 32 respondents, the sampling technique using quota sampling. research data processing was carried out using SPSS tools. Data were analyzed using univariate analysis. The results of the univariate analysis showed that the most electronic waste generated by the community was a TV as many as 7 (21.9%) and a fan as many as 7 (21.9%) and for the management of electronic waste the most done by respondents, namely electronic waste management by storing 23 (71.9%). As for the highest recycling value of electronic waste in Pamengkang Village, namely electronic materials at a price of Rp. 30,000, -.
Pengembangan Sistem Peringatan Dini menggunakan artificial intellegence Teknologi Sensor Menjaga Kesehatan Masyarakat dari Peningkatan Tingkat Bau di Pembuangan Sampah Akhir Cilowong Serang Banten: Pengabdian Erwan Darmawan; Lani Febriani; Ghina Rizqandi Q.A; Muhamad Natsir
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.1838

Abstract

The increase in odor levels from the Cilowong Final Waste Disposal Site (TPSA), Serang, Banten, has had a negative impact on air quality and the health of the surrounding community. This community service activity aims to develop an early warning system based on Artificial Intelligence (AI). Artificial Intelligence (AI) and gas sensor technology to monitor in real time emissions of odorous gases such as hydrogen sulfide (H₂S), ammonia (NH₃), and volatile organic compounds (VOCs). This system is designed to analyze environmental data patterns using machine learning and provide early warnings to the public through a digital platform based on the Internet of Things (IoT). The development process refers to the CRISP-DM method in data processing and predictive modeling (Wirth & Hipp, 2000), and uses electrochemical-based sensors that have been proven effective in environmental monitoring (Kim et al., 2021). The implementation results show that the system is able to improve the community's rapid response to potential odor hazards and support decision-making by environmental managers. This innovation is a strategic step to encourage sustainable environmental management and protect public health from exposure to air pollutants.
Optimalisasi Teknologi Otomasi untuk Meningkatkan Daya Saing Industri Manufaktur Indonesia di Era Ekonomi Digita Muhammad Natsir; Erwan Darmawan; Djejen Nahrowi
Journal of Economics, Management, and Accounting Vol 1 No 2 (2025): November: Scripta Economica: Journal of Economics, Management, and Accounting
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/anzkdh84

Abstract

Digital transformation has changed the landscape of the global manufacturing industry, including in Indonesia. This study analyzes the optimization of automation technology as a strategy to improve the competitiveness of Indonesia's manufacturing industry in the digital economy era. Using literature review and descriptive analysis methods on secondary data from various sources, this study explores the implementation of automation technology in Indonesia's manufacturing sector, the challenges faced, and its impact on productivity and global competitiveness. The results show that the adoption of automation technology in Indonesia will reach 35 percent for large manufacturing companies in 2024, with the manufacturing industry sector growing by 5.68 percent in the second quarter of 2025.The Making Indonesia 4.0 program is a strategic foundation with a target contribution of Industry 4.0 to the Gross Domestic Product of US$133 billion by 2025. Internet of Things technology, artificial intelligence, and robotics are the main pillars of this transformation. Despite challenges such as limited investment and availability of skilled human resources, the potential for increased operational efficiency, reduced production costs, and improved product quality are the main drivers for automation adoption. This study recommends strengthening collaboration between the government, industry, and academia to accelerate the digital transformation of Indonesia's manufacturing industry.
Co-Authors Djejen Nahrowi Ghina Rizqandi Q.A Lani Febriani Muhamad Natsir Muhammad Natsir Octoberry Julyanto Wirani, Ayu Puspa