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All Journal Journal of Student Research BULLET : Jurnal Multidisiplin Ilmu Jurnal Rekayasa elektrika
Arya Ramadhan
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

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Peran Bimbingan dan Konseling Terhadap Tingkat Emosional Tenaga Kerja Rumah Sakit Jiwa Halifah khairunisa; Arya Ramadhan; Iryne Ruzea; Putri Tri Rizki; Muhammad Rai Farhan; Affan Yusra
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 02 (2022): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The purpose of this study was to determine the role of guidance and counseling on the emotional level of the workforce in the Mental Hospital. The subjects of this study were nurses, psychiatrists, psychologists and other mental hospital staff. The technique we use in this research is literature review. Workers in mental hospitals do not take care of people who are mentally fine, which certainly makes their emotional level disturbed too. Workers in mental hospitals are expected to be able to control their emotions because working in mental hospitals has become a decision that workers make, so they are required to work professionally
Analisis Kinerja Keuangan Pemerintah Kabupaten Merangin Tahun 2018-2021 Arya Ramadhan; Iskandar Sam; Fredy Olimsar
Journal of Student Research Vol. 1 No. 4 (2023): Juli: Journal of Student Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jsr.v1i4.1683

Abstract

Penelitian ini bertujuan untuk menganalisis kinerja keuangan pemerintah daerah Kabupaten Merangin Tahun 2018-2021 dilihat dari: (1) Rasio Kemandirian Keuangan Daerah, (2) Rasio Efektivitas dan Efisiensi Pendapatan Asli Daerah, (3) Rasio Keserasian dan (4) Rasio Pertumbuhan.Penelitian ini merupakan penelitian kuantitatif deskriptif. Teknik Pengumpulan data dalam penelitian ini menggunakan dokumentasi. Teknik Analisis Data yang digunakan adalah analisis deskriptif dengan rumus: Rasio Kemandirian Keuangan Daerah, Rasio Efektivitas dan Efisiensi Pendapatan Asli Daerah, Rasio Keserasian dan Rasio Pertumbuhan. Hasil Penelitian ini menunjukan bahwa Kinerja Keuangan Pemerintah Daerah Kabupaten Merangin dilihat dari: (1) Rasio Kemandirian Keuangan Daerah pola hubungannya tergolong dalam pola hubungan instruktif karena rata-rata rasionya sebesar 8,14%. (2) Rasio Efektivitas dan Efisiensi Pendapatan Asli Daerah diketahui efektivitas PAD tergolong cukup efektif dengan rata-rata rasio sebesar 98% dan rasio efisiensi PAD tergolong tidak efisien dengan rata-rata rasio sebesar 102%. (3) Rasio Keserasian diketahui bahwa rata-rata belanja operasi daerah masih sangat tinggi dengan rata-rata sebesar 82% dibandingkan dengan rata-rata belanja modal sebesar 18% sehingga dapat dikatakan bahwa Kabupaten Merangin masih kurang memperhatikan pembangunan daerahnya. (4) Rasio Pertumbuhan diketahui bahwa pertumbuhan PAD secara rata-rata mengalami pertumbuhan positif namun masih dalam kategori rendah
Optimization of PV Array Using Particle Swarm Optimization (PSO) Arya Ramadhan; Sri Poernomo Sari
Jurnal Rekayasa Elektrika Vol. 21 No. 4 (2025): Vol. 21, No. 4, December 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i4.745

Abstract

This research investigates the implementation of the Maximum Power Point Tracking (MPPT) method using the Particle Swarm Optimization (PSO) algorithm in photovoltaic systems to optimize output power under various irradiance conditions, including normal, fluctuating, and partially shaded scenarios. The research methodology includes photovoltaic framework modeling and recreation in MATLAB Simulink environment, counting the plan of boost converter to extend output voltage as well as the implementation of PSO calculation to maximize power tracking efficiency. Simulation results show that MPPT with PSO has a higher tracking efficiency than the conventional method, which is 97% under normal and changing irradiance conditions, and 85% under partially shaded conditions. The PSO algorithm proved to be effective in overcoming the local maximum phenomenon in partially shaded conditions. Simulations moreover show that PSO MPPT is able to extend output power significantly compared to ordinary methods. This research contributes to optimizing renewable energy systems, especially in photovoltaic applications, by integrating the PSO algorithm into the MPPT system to increase the efficiency of the energy produced, especially in non-ideal lighting conditions
Co-Authors Fredy Olimsar Halifah Khairunisa Iryne Ruzea Iskandar Sam Muhammad Rai Farhan Putri Tri Rizki Sri Poernomo Sari Sri Poernomo Sari Yusra, Affan