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Setiawan, Akas Bagus
Politeknik Negeri Jember, Indonesia
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Studi Efektifitas Lampu Perangkap Hama Padi Tenaga Surya dalam Konteks Ekologi Pertanian Dedes, Khen; Fatimatuzzahra, Fatimatuzzahra; Juli, David; Setiawan, Akas Bagus; Mujiono, Mujiono
SWARNA: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 12 (2025): SWARNA : Jurnal Pengabdian Kepada Masyarakat, Desember 2025
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/swarna.v4i12.1830

Abstract

The increasing intensity of pest attacks on rice plants is one of the major factors contributing to the decline in productivity and quality of yields in Indonesia’s agricultural sector. Farmers’ excessive dependence on chemical pesticides not only leads to pest resistance but also poses negative impacts on human health, the environment, and the ecological balance of paddy fields. Therefore, there is an urgent need for innovative, environmentally friendly, efficient, and sustainable pest control technologies. This study proposes the implementation of a solar-powered pest trap lamp integrated with an Internet of Things (IoT)-based system as an alternative solution within an integrated pest management (IPM) framework. The device is designed to utilize solar energy as its primary power source to support energy-efficient operations while reducing dependence on conventional electricity. The IoT connectivity enables real-time data transmission to a cloud-based server for remote monitoring, data analysis, and evidence-based decision-making. Through this approach, pest control can be carried out more precisely, efficiently, and adaptively according to field conditions. Moreover, the application of this technology has the potential to minimize the use of chemical pesticides, enhance agroecosystem health, and promote the principles of sustainable agriculture and national food security. This study emphasizes that the integration of solar energy and IoT technology in pest trap systems can serve as a significant innovation in the digital modernization of agriculture in Indonesia. Further research recommendations include large-scale field trials, quantitative analysis of pest population reduction effectiveness, and evaluation of the economic, social, and adoption aspects among farmers. Hence, this study is expected to provide a substantial contribution to the development of intelligent, efficient, and sustainable pest management systems.
Decision Support System for Selecting the Best Rental House with Weight Product in Sidokare District, Sidoarjo Regency Setiawan, Akas Bagus; Yuniar, Eka; Hermansyah, Mas'ud; Mujiono, Mujiono; Ariyadi, David Juli
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8865

Abstract

The demand for rental housing in high-mobility areas such as Sidokare District, Sidoarjo Regency, continues to increase along with the region's economic development. However, prospective tenants often face difficulties in selecting the right rental house due to unstructured information and subjective decision-making processes. This study aims to develop a web-based Decision Support System (DSS) capable of providing objective and measurable rental housing recommendations. The method used is the Weighted Product (WP), a multicriteria decision-making technique that normalizes weights through multiplication operations. This system evaluates five rental housing alternatives based on eight main criteria, including price, location, facilities, security, and comfort. The results show that Sukun Rental House is the best alternative with the highest preference value of 0.0769. The practical implication of this study is the availability of an efficient digital tool for residents and students in Sidokare to compare various housing options transparently and quickly. This system successfully minimizes subjectivity in housing selection and helps users find the housing that best suits their financial priorities and functional needs.
Co-Authors Atmoko, Rachmad David Juli Ariyadi Dedes, Khen Fatimatuzzahra Fatimatuzzahra Fatimatuzzahra Harvyanti , Annisa Fitri Maghfiroh Hermansyah, Mas'ud Hermansyah, Masud Hermansyah, Mas’ud Izzun Ni`am, Muhammad Juli, David Khen Dedes M Faiz Firdausi Maulana Firmansyah, Akbar Mujiono Mujiono Nasyatha Adlin, Dzakiyyan Nur Na’im, Septian Ghuslal Pradana, Reza Putra Rahmat Hidayatullah, Rifqi Resya , Fachmi Setyo Wibowo, Nugroho Taufiq Rizaldi Vindarosita, Babylina Yudhistira, Prillinaya Yuniar, Eka