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Sosialisasi Penggunaan Listrik Tenaga Surya Di kecamatan Ternate Tengah M. Yunus Hi Abbas; Hafid Saifudin; Rintania E. Nuryaningsih; Mochammad Apriyadi Hadi Sirad
Journal Of Khairun Community Services Vol 2, No 1 (2022): Journal Of Khairun Community Services
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jkc.v2i1.4459

Abstract

Berdasarkan Rencana Umum Energi Nasional (RUEN), kontribusi energi terbarukan dalam bauran energi nasional ditargetkan sebesar 23% di tahun 2025 dan meningkat menjadi 31% pada tahun 2050. Proses transisi energi ini dilakukan oleh pemerintah sebagai upaya untuk mengurangi ketergantungan pada energi fosil yang ketersediannya diperkirakan semakin berkurang serta untuk mengurangi dampak dari emisi Gas Rumah Kaca (GRK) yang berakibat langsung terhadap intensitas perubahan iklim, dengan melakukan perubahan secara gradual melalui investasi energi terbarukan di sektor pembangkit listrik.Pada sektor kelistrikan, target RUEN yang ingin dicapai yaitu kontribusi energi terbarukan sebagai pembangkit listrik sebesar 45 GW dari total kapasitas terpasang pembangkit listrik nasional yang nilainya mencapai 135 GW pada tahun 2025. Dimana kontribusi pemanfaatan energi matahari ditargetkan sebesar 14% atau 6,5 GW. Untuk mewujudkan target 14% atau 6,5 GW kontribusi energi matahari pada tahun 2025, maka seluruh provinsi di Indonesia mendapatkan porsi untuk mengembangkan Pembangkit Listrik Tenaga Surya (PLTS). Secara empiris, belum maksimalnya pemanfaatan PLTS di Maluku Utara disebabkan oleh masih kurangnya desiminasi, sosialisasi dan edukasi serta faktor regulasi dari pemerintah daerah itu sendiri terkait pemanfaatan teknologi PLTS khususnya PLTS rooftop
ANALISIS DAN SIMULASI TEGANGAN DIP PADA INTERKONEKSI SISTEM KELISTRIKAN 150 KV - PLTMG KASTELA 30 MW Mochammad Apriyadi Hadi Sirad
Journal of Science and Engineering Vol 5, No 1 (2022): Journal Of Science And Engineering (JOSAE)
Publisher : Fakultas Teknik Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/josae.v5i1.4878

Abstract

Berdasarkan hasil simulasi dapat disimpulkan bahwa tegangan dip yang muncul paling besar akibat terjadinya lonjakan beban pada saat interkoneksi awal sistem kelistrikan 150 kV PLTMG Kastela 30 MW.  Tetap tidak berlangsung lama karena dilihat dari hasil simulasi akan kembali normal setelah sistem mulai stabil kembali.
Sistem Informasi Monitoring Data Obat di Puskesmas Bontoperak Kabupaten Pangkajene dan kepulauan Tamus Bin Tahir; Muhammad Rais; Irwan Syarif; Mochammad Apriyadi Hadi Sirad; Rosihan Aminuddin
Patria Artha Technological Journal Vol 6, No 1 (2022): Patria Artha Technological Journal
Publisher : Department of Electrical Engineering, University of Patria Artha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33857/patj.v6i1.566

Abstract

This research aims to design and create applications that can monitor drug data, namely incoming drug data, outgoing drugs, drug stocks and report making. The research method used is R&D because researchers want to produce products and test the effectiveness of the products in order to function. While the pngujian method on this system uses black box testing which aims to perform tests based on system details such as the appearance, functions and suitability of the function flow of the system. From the results of system testing, all functions in the system can function properly so as to help the performance of the officers in the health center, especially those who handle drug data. The drug data monitoring information system has been successfully designed to be used by the Head of Puskesmas, warehouse officers, and pharmacy officers. Drug warehouse officers are given the facility to enter data on sources of funds, suppliers, drugs and conduct drug transactions in and out of the warehouse. Furthermore, pharmacy officers can enter patient data and make drug transactions out at the pharmacy. As for the Head of puskesmas has facilities to be able to see the report and then print it.
Optimal Power Flow For Non-Smooth Cost Function Using Particle Swarm Optimization On 150 Kv System Muh Rais; Bustamin Bustamin; Mochammad Apriyadi Hadi Sirad
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i1.4709

Abstract

Optimal power flow by considering the non-smooth cost curve using the meta-heuristic algorithm method, namely particle swarm optimization (PSO) in the 150 kV Sulselrabar electrical system. In this study, the PSO algorithm was used to optimize optimal power flow so that the cheapest generation price was obtained with a non-smooth cost curve and still considered the limitations of similarity and inequality. In this study, the PSO algorithm was used to optimize optimal power flow so that the cheapest generation price was obtained with a non-smooth cost curve and still considered the limitations of similarity and inequality. From the results of generation optimization using the Particle Swarm method, it produces the cheapest generation costs from other methods, namely Rp. 93,498,916.1,- / hour to generate power of 270.14 MW with losses of 25.73 MW. The Particle Swarm Optimization (PSO) method is able to reduce the cost of generating the Sulselrabar system by Rp. 34,382,857.58 / hour or 26.89%. From the results of generation optimization using the Ant Colony method, it resulted in a total generation cost of Rp. 94670335.98 / hour to generate power of 270,309 MW with losses of 25.91 MW. The Ant Colony method is able to reduce the cost of generating the Sulselrabar system by Rp. 33,211,437.70 / hour or 25.98%. From the results of generation optimization using the lagrange method, it resulted in a total generation cost of Rp. 117,121,631.08 / hour to generate power of 339.4 MW with losses of 25,016 MW. The lagrange method is able to reduce the cost of generating the Sulselrabar system by Rp. 10,760,142.60 / hour or 8.41%. The artificial intelligence method based on Particle Swarm Optimization (PSO) can well perform optimization of Optimal Power Flow, from the results of the analysis obtained the cheapest generation cost compared to the comparison method, Lagrange Method and Ant Colony artificial intelligence method.