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All Journal Jurnal Ilmiah Kursor ALINIER: Journal of Artificial Intelligence & Applications
M. Fauzan Edy Purnomo
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Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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METHOD COMPARISON IN THE DECISION SUPPORT SYSTEM OF A SCHOLARSHIP SELECTION Mohammad Iqbal Bachtiar; Hadi Suyono; M. Fauzan Edy Purnomo
Jurnal Ilmiah Kursor Vol 11 No 2 (2021)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v11i2.263

Abstract

Commonly, the current scholarship selection process has different targets and various criteria for its prospective scholarship recipients. This causes the decision-making process for scholarship selection to be complex, whereas in the general scholarship selection is time-limited. The solution that can be done is to use a DSS (Decision Support System) to improve consistency and speed up decision-making. The available methods for making a DSS used in this study are the Analytical Hierarchy Process, TOPSIS, and the second model using a deep learning approach. The performance of the DSS will then be evaluated using a Confusion Matrix to determine the cost level of each DSS and analyze the strengths and weaknesses of each DSS. The DSS model with the AHP-TOPSIS approach has been successfully created, with the accuracy performance for introducing data on merit, bidikmisi, and independent scholarship schemes are 56.72%, 65.21%, and 95.87%, respectively. While the DSS model with a deep learning approach has been successfully created with accuracy performance of 71.93%, 100%, and 100%, respectively. There are considerable differences between these two approaches. This may be due to the weighting process in the AHP approach which cannot be carried out with precision.
Analisis Impak Injeksi Generator Baru Grati pada Stabilitas Transien Sistem Jawa – Madura – Bali (Jamali) 500kV Hadi Suyono; Anargya Widyatma; Mahfudz Shidiq; M. Fauzan Edy Purnomo
ALINIER: Journal of Artificial Intelligence & Applications Vol. 1 No. 2 (2020): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1187.512 KB) | DOI: 10.36040/alinier.v1i2.2971

Abstract

Peningkatan kebutuhan listrik setiap tahun, khususnya di pulau Jawa, mengharuskan pemerintah melalui PT. PLN (Persero) melakukan pengembangan kapasitas dan produksi energi listrik guna mengatasinya. Pada sistem kelistrikan Jawa-Bali ditambahkan generator baru di Grati. Generator tersebut berjumlah tiga unit, terdiri dari dua unit generator turbin gas berkapasitas 207 MVA dan satu unit generator turbin uap berkapasitas 248,75 MVA. Penambahan pembangkit baru tersebut mengharuskan dilakukannya analisis ulang terhadap kinerja sistem secara keseluruhan. Kajian ini menganalisis stabilitas transien dalam kondisi beban puncak dan beban dasar. Hasil simulasi stabilitas transien menggunakan software ETAP menunjukkan bahwa untuk kondisi beban puncak dan beban dasar, kasus lepasnya generator dan hubung singkat tiga fasa pada saluran transmisi selama 150 milidetik tidak menyebabkan sistem lepas sinkron. Pada kasus generator lepas, daya supply yang hilang hanya sebesar 4,71% dari kondisi beban puncak dan 6,69% dari beban dasar daya pembangkitan. Pada kasus gangguan hubung singkat tiga fasa pada saluran transmisi selama 150 milidetik pada kondisi beban puncak dan beban dasar, hasil respon sudut rotor, frekuensi dan tegangan menunjukkan sistem tetap stabil. Namun, pada kondisi beban puncak terjadi drop tegangan sampai 104,632 kV dan pada beban dasar terjadi drop tegangan sampai 114,479 kV. Waktu pemutusan kritis pada kondisi beban puncak lebih cepat jika dibandingkan dengan pada kondisi beban dasar.
Co-Authors Anargya Widyatma Hadi Suyono Mahfudz Shidiq Mohammad Iqbal Bachtiar Suyono, Hadi