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Pemberdayaan Ekonomi Masyarakat Lokal melalui Pelatihan Membatik di LPK Prima Cilegon Masturi, Masturi; Maisaroh, Maisaroh; Makhilah, Hadyu; Akbari, Ari Adhariayani
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 4 (2025): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i4.784

Abstract

This study aims to examine the impact of a batik training program organized by LPK Prima Cilegon on community economic empowerment through a non-formal education approach. The program is designed to improve batik-making skills and foster entrepreneurship based on local potential. Using a descriptive qualitative method, data were collected through interviews, observations, and documentation. The results show that the training not only enhanced participants’ technical skills but also encouraged entrepreneurial spirit and expanded market access through digital platforms. The program had a positive impact on increasing income, strengthening social networks, and preserving local culture. The main targets of the program were women, housewives, and productive-age individuals without stable employment. Support from local government, industry, and community groups contributed to the program’s success as a participatory and sustainable model of skill-based economic empowerment.
Automatic Chicken Feeding Machine Using Fuzzy Inference System Islamiyah, Mufdatul; Maisaroh, Maisaroh
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 1 (2025): May
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2025.v16.no1.p61-69

Abstract

Efficient feed management is a crucial factor in increasing chicken farm productivity. However, manual feeding systems are often inconsistent and labor-intensive. To address these issues, this study designed and implemented an automatic chicken feeder equipped with a fuzzy inference system, where the fuzzy system plays a role in processing sensor data. The sensors used in this research are temperature sensors, ultrasonic, RTC, electric motors and microcontrollers. This system can automatically determine the timing and amount of feed given based on parameters such as time, number of chickens, and the level of remaining feed in the container. The fuzzy method is used because it can handle uncertain and variable input data and allows for more flexible decision-making. System testing was conducted using MATLAB simulations to test the fuzzy logic response to feed quantity and input conditions. In addition to simulation testing, hardware testing was also conducted to ensure that all physical components of the automatic chicken feeder functioned properly and directly according to the feed design. The simulation results showed that the defuzzifier value was 10, thus concluding that the motor movement of the device was categorized as moderate  and also demonstrated that the system can provide feed in a timely and appropriate manner, while reducing feed waste. Thus, this tool has the potential to help farmers save time, operational costs, and improve feed efficiency.