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Development and Improvement of Catfish Cultivation Productivity in Balongmojo Village, Mojokerto Widagdo, Reza Sarwo; Hariadi, Balok; Wardah, Izzah Aula; Ardianik, Ardianik; Kusmiyati, Kusmiyati
Pelita: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2025): Pelita: Jurnal Pengabdian kepada Masyarakat
Publisher : Perkumpulan Kualitama Edukatika Indonesia

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Abstract

Balongmojo Village is an entrepreneurial village in Mojokerto that has great potential in the livestock sector, especially catfish cultivation. The community service carried out aims to increase the productivity and sustainability of fisheries businesses in the village through the application of simple and environmentally friendly technology. Community service activities carried out include: (1) development of alternative feed based on agricultural waste (tofu dregs) for catfish; (2) making probiotics to improve catfish health; (3) managing catfish pond waste into liquid fertilizer; and (4) implementing an IoT-based automatic feeding system. The results of the study showed that the application of this technology was able to improve the quality of pond water and the growth of catfish. In addition, the use of organic waste also contributes to increasing soil fertility and reducing environmental pollution. Overall, this community service program has had a positive impact on improving the welfare of the Balongmojo Village community through increasing income, improving the environment, and developing community capacity in adopting modern technology.
Technical Support for Maintaining Solar Power Plants in Plantation Areas, Sajen Village, Mojokerto Widagdo, Reza Sarwo; Ardianik, Ardianik; Imam Suri Tauladan; Slamet, Puji; Andriawan, Aris Heri; Hariadi, Balok
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 3 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v6i3.13233

Abstract

Sajen Village is predominantly an agricultural and livestock-based community. However, the lack of sufficient electricity poses a significant challenge to the development of these sectors. Solar Power Generation Technology offers a sustainable solution due to the village’s potential for utilizing solar energy. To ensure the successful implementation of solar power plant, it is essential to provide the local community with adequate knowledge and skills in its operation, maintenance, and care. This community service program aims to introduce solar power plant to the residents of Sajen Village while equipping them with the necessary technical expertise. The program consists of several key activities: training on solar power plant operation and maintenance, an introduction to the principles of solar power plant design and installation, and evaluation sessions to assess the community's understanding. These activities are designed to empower participants to independently operate and maintain solar power plant systems. The final stage involves evaluating the program’s effectiveness by measuring the participants’ comprehension of solar power plant concepts, operations, and maintenance techniques. This initiative is expected to enhance the sustainability of Sajen Village's agricultural and livestock sectors by addressing the electricity shortage through renewable energy solutions. It also promotes community independence in managing solar power systems for long-term benefits
Pengembangan Sistem Deteksi Kualitas Minyak Goreng Sawit Berbasis Fuzzy Logic Ariyanto, Adhitiya Dwijaya; Hariadi, Balok; Swarga, Lutfi Agung; Santoso, Santoso; Hartayu, Ratna
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7475

Abstract

ABSTRACT Palm cooking oil is a widely used staple, but its quality deteriorates with repeated use, posing health risks. Traditional methods for assessing oil quality remain subjective, necessitating a more objective detection system. This study develops a fuzzy logic-based palm cooking oil quality detection system using a color sensor (TCS3200), clarity sensor (SEN0189), and odor sensor (TGS2600) controlled by Arduino UNO. The system classifies oil into three categories: Safe to Use, Moderately Safe, and Not Safe. Testing results indicate a classification accuracy of 90%, with a confidence level of 95% for safe oil and 88% for unsafe oil. This system provides a practical, objective, and efficient solution for evaluating cooking oil quality, making it applicable for improving food safety in both households and industries.  Keywords: Fuzzy logic, palm cooking oil, color sensor, clarity, odor, Arduino.