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Penta-helix “Desa Emas” As A Commitment to Accelerate Stunting Reduction in Sumenep Regency, East Java Province Qurnia Andayani; Septi Ariadi; Toetik Koesbardiati; Nuraini Fauziah; Bayu Praharsena
Media Gizi Indonesia Vol. 17 No. 1SP (2022): Media Gizi Indonesia (National Nutrition Journal) Special Issue: Internation
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mgi.v17i1SP.64-75

Abstract

Desa Emas is Elimination for Stunting in the Village that focuses on action to catalyst the reduction of stunting that carried out in 18 district/city in East Java. This program is initiated requires cooperation in achieving the goals. Collaboration that actively involves various sectors is very important, especially using penta-helix strategy include government, college, community, media mass and business partners to commit the acceleration of the stunting reduction. This study aims to describe the implementation of the penta-helix strategy "Desa Emas" in the perception commitment and stunting reduction in Sumenep Regency, East Java Province. The method used is descriptive qualitative with purposive samples, data obtained through in-depth interviews, observations and FGDs to the staff of the Health District Department, sub-district PLKB, village heads, BUMDES managers, family support teams consisting of midwives, PKK cadres, and family planning cadres in 10 stunting locus villages in Sumenep Regency. The results showed that the Sumenep Regency Government had optimized the policies that were prepared with cooperation support of government officials until the village level, media mass, business partner, community, and academic support. The national support for stunting reduction is very important, because of that the action plan of penta-helix strategy is needed to support a commitment to accelerate the stunting reduction sustainability. Keywords: Penta-helix, Commitment, Stunting, Desa Emas
Implementation of Switching Algorithm for SVPWM Inverter in Induction Motor Drive System on Electric Vehicle Applications Bayu Praharsena; Mohammad Jauhari; Era Purwanto; Mentari Putri Jati; Angga Wahyu Aditya; Aries Alfian Prasetyo
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1414.456 KB) | DOI: 10.21831/elinvo.v6i2.43409

Abstract

Electric cars are the way to reduce global warming and fuel shortages. Performance variable speed drive is needed for various drive electric vehicle applications. Unfortunately, high performance is still being investigated with a variety of drive systems. This paper presents a design, analysis, and implementation of the SV-PWM inverter motor drive system. The SV-PWM algorithm in design using Matlab, to analyze the system include signal response, THD-V, THD-I. All algorithms are embedded in STM32F4, as the main controller. The hardware uses a 3-phase motor control Steval power module. Response speed and output signal inverters are shown in chart form for analysis
Rancang Bangun Baterai Estimator Pada Kendaraan Listrik Dengan Metode Fuzzy Logic Muhammad Furqon; Nofan Dwi Cahya Ramadhani; Achmad Afandi; Bayu Praharsena; A Labib Fardany; Ahmad Mustofa
Techno Bahari Vol. 12 No. 1 (2025): Maret
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v12i1.345

Abstract

Baterai adalah komponen utama kendaraan listrik yang penting untuk kinerja optimal dan keamanan. Penelitian ini mengembangkan sistem estimasi kapasitas baterai menggunakan metode Fuzzy Logic Sugeno dengan input tegangan dan arus, serta output berupa remaining time (sisa waktu). Implementasi dilakukan pada platform Arduino dan dibandingkan dengan simulasi MATLAB. Data dari kedua platform, Arduino dan MATLAB, dianalisis untuk mengevaluasi keakuratan dan konsistensi hasil estimasi. Sistem ini juga dilengkapi dengan sensor GPS untuk mengetahui titik koordinat kendaraan listrik, meskipun data ini tidak digunakan dalam proses estimasi kapasitas baterai. Hasil penelitian menunjukkan bahwa metode Fuzzy Logic Sugeno memberikan estimasi remaining time baterai yang akurat. Perbandingan hasil estimasi antara Arduino dan simulasi MATLAB menunjukkan konsistensi, meskipun terdapat perbedaan kecil akibat perbedaan implementasi dan lingkungan eksekusi. Dengan demikian, sistem ini dapat diandalkan untuk meningkatkan efisiensi dan keselamatan operasional kendaraan listrik.