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Pemberdayaan Posyandu Melalui Digitalisasi dan Penguatan Kapasitas Kader dalam Pencegahan Stunting di Desa Jabung Sisir Ahmad Izzuddin; Nuzul Hikmah; Agustina Widayati; Yustina Suhandini Tj; Ira Aprilia; Andrik Sunyoto; Dyah Ariyanti; Faridahtul Jannah; Noer Fika Dita; Muhammad Hasan Fathul Arifin; Ali Masykur Ibrahim
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 1 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : AMIK Veteran Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i1.9272

Abstract

Stunting is a serious health issue in Indonesia, with a national prevalence of 21.6 percent. Probolinggo Regency in East Java also records a high prevalence rate, reaching 17.3 percent. The main factors contributing to stunting are limited access to health services and nutrition. The Posyandu (Integrated Health Post) plays a crucial role in prevention efforts but faces challenges in management and cadre skills, particularly in data recording and nutritional status measurement. Jabung Sisir Village in Probolinggo Regency was selected as the community partner for empowerment through a program of Posyandu digitalization and cadre capacity building. The aim of this activity is to improve cadre literacy on stunting and to provide an effective digital reporting system to support prevention and control efforts. The implementation method consisted of cadre training on stunting literacy, anthropometric techniques, effective communication, and the use of a web- and Android-based Posyandu Information System. The program was followed by cadre mentoring as well as evaluation through pre-tests, post-tests, and periodic monitoring. The results showed an increase in cadre knowledge, anthropometric measurement skills, and the ability to use digital systems for data recording and reporting. These findings highlight that Posyandu digitalization can strengthen cadre capacity in stunting prevention while serving as an innovative model for enhancing community-based health services.
Android-Based Weed Identification and Herbicide Recommendation Using Convolutional Neural Networks Ahmad Izzuddin; Ryan Prayuga Ardiansyah; Andrik Sunyoto; Dyah Ariyanti; Ira Aprilia
International Journal of Electrical and Intelligent Engineering Vol 1, No 2 (2025)
Publisher : Department of Electrical Engineering Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijeie.v1i2.40594

Abstract

Weed infestation reduces crop yield and quality, while inappropriate herbicide selection often limits effective control. This paper presents the design and implementation of an Android-based decision-support application for weed identification and herbicide recommendation using a smartphone camera. Weed images are classified using a lightweight Convolutional Neural Network with a MobileNetV2 architecture optimized for mobile deployment. Herbicide recommendations are generated using the Cosine Similarity method to associate identified weed characteristics with suitable control agents. The system is modeled using the Unified Modeling Language (UML) to ensure modularity and scalability. Experimental results show that the proposed CNN model achieves a classification accuracy of 96%. The integrated on-device image acquisition and intelligent recommendation enable practical field deployment, providing an efficient tool to support weed management decisions.
Optimasi Energi Listrik Berbasis Microbial Fuel Cell Berbahan Feses Sapi Menggunakan Rangkaian Seri Irvan Rachmad Ananto; Imam Marzuki; Indro Wicaksono; Andrik Sunyoto
Jurnal JEETech Vol. 4 No. 1 (2023): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v4i1.4106

Abstract

Permasalahan yang di alami Indonesia saat ini adalah terkait dengan kebutuhan energi. Solusi terbaik yang dapat mengatasi permasalahan energi tersebut adalah dengan memanfaatkan energi altenatif. Microbial Fuel Cell (MFC) merupakan salah satu energi alternatif yang paling praktis di era modern saat ini. MFC ini memanfaat energi terbarukan yaitu biomassa. Tujuan penggunaan metode MFC pada penelitian ini adalah mengoptimasi tegangan dan arus listrik agar lebih stabil. Rancangan MFC yang digunakan penelitian ini adalah rangkaian Dual Chamber yang dirangkai secara seri. Elektroda yang digunakan dalam sistem MFC ini adalah logam tembaga dan seng. Pada rangkaian MFC ini dilengkapi juga dengan jembatan garam. Subtrat yang di gunakan pada MFC ini berupa feses sapi. Jumlah Feses sapi yang dijadikan subtract yaitu sebesar 250 gram dan 450 gram. Setelah rancangan MFC telah terpenuhi, maka energi yang diperoleh metode ini berasal dari aktivitas bakteri yang melepas energi dan dikonversikan menjadi energi listrik oleh elektroda akibat adanya beda potensial. Hasil dalam penelitian ini dapat menghasilkan tegangan secara optimal sebesar 2,17 V dengan berbagai macam variasi jumlah feses sapi sebesar yaitu 450gram dengan di rangkai MFC dengan menggunakan rangkaian seri.
Evaluasi Potensi dan Kinerja Teknis Sistem PLTMH Kaskade di Desa Blado Wetan Andrik Sunyoto; Imam Marzuki; Muhammad Nabil Haq; Sudik Budi Prabowo; Bagas Wahyu Dimas Pratama; Khafidz Zainal Arifin; Ridho Ilyasin; Muchammad Hafid; Malik Subarka; Muhammad Fathur Rozaq; Ahmad Izzuddin; Hartawan Abdillah; Mas Ahmad Baihaqi; Hermin Arista; Ary Analisa Rahma; Nanang Hermawan
TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Vol. 6 No. 3 (2026): TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat (September)
Publisher : Fakultas Teknik, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/tekiba.v6i3.9554

Abstract

This study aims to evaluate the technical performance and energy potential of river flow utilized by five micro-hydro power plant units with a total installed capacity of fifteen kilowatts arranged in a cascade system in Blado Wetan Village. The primary problem faced by community partners, including a mosque, public street lighting, and a boarding school, is poor electrical power quality, characterized by significant Vage drops and frequency instability. The method applied in this service activity focuses on technical data collection and quantitative analysis, measuring river hydrologic parameters, Vage, current, frequency, and active power across various gate openings and load variations during daily operational hours. The results reveal that the average system generation efficiency is fifty points thirty-eight percent, showing a severe performance disparity due to cascade hydraulic losses between upstream units reaching eighty-four points ninety-five percent efficiency and downstream units dropping to four points eighty-five percent. During peak operational hours, the total active load absorption reaches only two point ninety-one kilowatts or nineteen points forty-three percent of the total nominal capacity, indicating an under-utilized condition caused by self-imposed load restrictions by residents to prevent under-Vage damage. Vage drops range between one hundred sixty-four and one hundred ninety-eight Vs, while frequency drops between thirty-three and forty-two Hz, driven by manual gate controls, uncalibrated mechanical pulley transmission ratios, lack of lubrication maintenance, and absence of protection systems. The main contribution to partners is a set of data-driven technical recommendations, including mechanical pulley ratio recalibration, implementation of automatic load governors, capacitor bank installation, preventive lubrication schedules, and hybrid integration with local wind energy to optimize the remaining twelve point zero eight kilowatts of unutilized capacity.