PENANGANAN GANGGUAN LISTRIK RUMAH TANGGA MENGGUNAKAN ALGORITMA GREEDY UNTUK PENENTUAN JARAK OPTIMAL

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Published: Aug 9, 2019
Keywords:
Electrical Disturbance, Handling, Technical Service Officer, Greedy Algorithm

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Ayu Fadhilah Prianty
Departemen Informatika Sekolah Tinggi Teknik PLN
Riki Ruli A. Siregar
Departemen Informatika Sekolah Tinggi Teknik PLN
Rakhmat Arianto
Departemen Informatika Sekolah Tinggi Teknik PLN

Abstract

Electricity is a necessity that can be said has become the basic needs of society today. By exploiting technological developments, it is expected to facilitate PLN electricity customers in reporting electrical disturbances easily so that officers can provide response handling disorders quickly. One of the most commonly utilized technologies is Internet technology that can easily access website applications. Technical Service Post, PLN Area Cengkareng and Kalideres not utilize it well, for that need an application that can do the calculation of the optimal distance from report point to nearest duty using Greedy Algorithm. In the optimization problem, the Greedy Algorithm can produce an optimal solution. With the process, customers can easily find the nearest PLN officers, monitor the status of the report so that expected information can be immediately responded to disruption and handling

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How to Cite
Prianty, A., Siregar, R., & Arianto, R. (2019). PENANGANAN GANGGUAN LISTRIK RUMAH TANGGA MENGGUNAKAN ALGORITMA GREEDY UNTUK PENENTUAN JARAK OPTIMAL. JURNAL TEKNOLOGIA, 2(1). Retrieved from https://aperti.e-journal.id/teknologia/article/view/36
Issue
Vol 2 No 1 (2019): Jurnal Teknologia
Section
Articles

References

[1]. R. Rivaldi, Interviewee, Data Histori Gangguan Individu-Alamat APKT. [Interview]. 11 Juni 2017.
[2]. E. Energy, "Jenis Gangguan Pada Jaringan Distribusi," 20 November 2013. [Online]. Available: https://ezkhelenergy.blogspot.co.id/2013/11/jenis-gangguan-pada-jaringan-distribusi.html.
[3]. H. S. Lubis, "Perbandingan Algoritma Greedy dan Dijkstra untuk Menentukan Lintasan Terpendek," Skripsi, pp. 1-76, 2009.
[4]. A. X. Albert, "Analisis Algoritma," - Juli 2013. [Online]. Available: https://bertzzie.com.
[5]. S. A. Wiitala, Discrete Mathemetics A Unified Approach, Singapore: McGraw-Hill Book Co., 1987.
[6]. S. M. Bettiza and E. Suswaini, "Implementasi Algoritma Greedy dalam Menentukan Rute Trayek Angkutan Kota (Angkot) Tanjung Pinang," Jurnal UMRAH, pp. 1-9, 2014.
[7]. Faisal, "Teknik Menentukan Perjalanan pada Masalah Persimpangan Dengan Menggunakan Metode Greedy Coloring," Jurnal Penelitian Ilmu Komputer, System Embedded & Logic, pp. 43-46, 2013.
[8]. H. A. Fatta, Analisis dan Perancangan Sistem Informasi, Yogyakarta: Andi, 2007.
[9]. A. Novianto, B. Sugiantoro and Y. Prayudi, "Anonymous Mail Analysis Based Postfix SMTP Mail Server with Greedy Algorithm," International Journal of Research in Computer and Communication Technology (IJRCCT), pp. 581-587, 2016.
[10]. D. S. Purnia and D. Riana, "Pencarian Rute Terpendek Perjalanan Promosi Marketing Menggunakan Algoritma Genetika dan Algoritma Greedy," Jurnal Informatika, pp. 299-313, 2016.
[11]. Siregar, Riki Ruli A., Hengki Sikumbang, and Iriansyah BM Sangadji. "KWh Meter Smart Card Model Token For Electrical Energy Monitoring." MATEC Web of Conferences. Vol. 218. EDP Sciences, 2018.
[12]. Nisa, Tia Choirun, Riki Ruli A. Siregar, and Widya Nita Suliyanti. "Estimasi Daya Beban Listrik Pada Gardu Induk Cengkareng Dengan Menggunakan Metode TIME Series Model Dekomposisi." TEKNOLOGIA 2.1 (2019).
[13]. Siregar, Riki Ruli A., Nurfachri Wardana, and Luqman Luqman. "Sistem Monitoring Kinerja Panel Listrik Tenaga Surya Menggunakan Arduino Uno." Jetri 14.2: 81-100.
[14]. Indrianto I, Susanti MN, Siregar RR, Purwanto Y. Smart taxi security system design with internet of things (IoT). Telkomnika. 2019 Jun 1;17(3).
[15]. Susanti, M.N.I., Arianto, R. and Siregar, R.R.A., 2018. Embedded System Practicum Module for Increase Student Comprehension of Microcontroller. TELKOMNIKA, 16(1), pp.53-60.