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Power Flow Analysis Using Fuzzy Logic Methods in Electrical Systems Sulbagsel

Analisis Aliran Daya Menggunakan Metode Fuzzy Logic pada Sistem Listrik Sulbagsel

Jurnal Eksitasi · Vol. 1 No. 2 (2022) · pp. 1–6

ISSN
2829-5110
Published
2022-11-14
Publisher
Departemen Teknik Elektro
Language
id

Abstract

English

Analysis of power flow in an electric power system is an analysis that aims to determine the operating conditions of an electric power system. This study aims to implement fuzzy logic in power flow analysis with a case study of the electrical system of South Sulawesi (Sulbagsel). To achieve research objectives, Newton Raphson is used as a basis for managing fuzzy logic programs using MATLAB software. The implementation of fuzzy logic requires several stages, namely determining input and output, determining the membership-function, determining the rules base, the inference stage using the Mamdani method. Refers to the flow valuepower using the Newton Raphson method, the results show that fuzzy logic works well with an average MAPE power loss value of 4.134%. Computation time with fuzzy logic is 136.3660 ms while the Newton Raphson methodtook 192.9577 ms.

Bahasa Indonesia

Analisis aliran daya pada sistem tenaga listrik merupakan suatu analisis yang bertujuan untuk mengetahui kondisi operasi kerja suatu sistem tenaga listrik. Penelitian ini bertujuan untuk mengimplementasikan fuzzy logic dalam analisis aliran daya dengan study kasus sistem listrik Sulawesi Bagian Selatan (Sulbagsel). Untuk mencapai tujuan penelitian, Newton Raphson digunakan sebagai basis untuk mengatur program fuzzy logic dengan menggunakan perangkat lunak MATLAB. Pengimplementasian fuzzy logic memerlukan beberapa tahapan yakni menentukan masukan dan keluaran, menentukan membership-function, menentukan rules base, tahapan inferensi yang menggunakan metode Mamdani. Mengacu nilai alirandaya dengan metode Newton Raphson, hasil menunjukkan fuzzy logic bekerja secara baik dengan rata-rata nilai MAPE rugi-rugi daya sebesar 4.134%. Waktu komputasi dengan fuzzy logic sebesar 136.3660 ms sedangkan metode Newton Raphsonmembutuhkan waktu 192.9577 ms.

Keywords

Collaboration network of the authors

17 authors · 27 co-authorship links

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Co-authorOrganisationJoint articles
Zaenab MusliminAffiliation unknown3
Yustinus Upa SombolayukAffiliation unknown2
Muhammad Zhahran Zhafirin IrawanAffiliation unknown2
Muammar Fadli NurAffiliation unknown1
Fikran FauzyAffiliation unknown1
Intan Sari AreniAffiliation unknown1
Muh. Rafiud Priatna YusrifalAffiliation unknown1
YusranAffiliation unknown1
Muhammad Irsan SadriAffiliation unknown1
Abd RahimAffiliation unknown1
Firda Fajryani KamilAffiliation unknown1
Caesar William AlexanderAffiliation unknown1
Sri Mawar SaidAffiliation unknown1
Fatimah Az-zahraAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/eksitasi/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Power Flow Analysis Using Fuzzy Logic Methods in Electrical Systems Sulbagsel</dc:title>
	<dc:title xml:lang="id">Analisis Aliran Daya Menggunakan Metode Fuzzy Logic pada Sistem Listrik Sulbagsel </dc:title>
	<dc:creator xml:lang="en">Harits Ghazy Ramadhan</dc:creator>
	<dc:creator xml:lang="en">Yusri Syam Akil </dc:creator>
	<dc:creator xml:lang="en">Indar Chaerah Gunadin</dc:creator>
	<dc:creator xml:lang="id">Harits Ghazy Ramadhan</dc:creator>
	<dc:creator xml:lang="id">Yusri Syam Akil </dc:creator>
	<dc:creator xml:lang="id">Indar Chaerah Gunadin</dc:creator>
	<dc:subject xml:lang="en">Power flow</dc:subject>
	<dc:subject xml:lang="en">electric power system</dc:subject>
	<dc:subject xml:lang="en">fuzzy logic</dc:subject>
	<dc:subject xml:lang="en">voltage</dc:subject>
	<dc:subject xml:lang="en">power losses</dc:subject>
	<dc:subject xml:lang="id">aliran daya</dc:subject>
	<dc:subject xml:lang="id">sistem tenaga listrik</dc:subject>
	<dc:subject xml:lang="id">fuzzy logic</dc:subject>
	<dc:subject xml:lang="id">tegangan</dc:subject>
	<dc:subject xml:lang="id">rugi-rugi daya</dc:subject>
	<dc:description xml:lang="en">Analysis of power flow in an electric power system is an analysis that aims to determine the operating conditions of an electric power system. This study aims to implement fuzzy logic in power flow analysis with a case study of the electrical system of South Sulawesi (Sulbagsel). To achieve research objectives, Newton Raphson is used as a basis for managing fuzzy logic programs using MATLAB software. The implementation of fuzzy logic requires several stages, namely determining input and output, determining the membership-function, determining the rules base, the inference stage using the Mamdani method. Refers to the flow valuepower using the Newton Raphson method, the results show that fuzzy logic works well with an average MAPE power loss value of 4.134%. Computation time with fuzzy logic is 136.3660 ms while the Newton Raphson methodtook 192.9577 ms.</dc:description>
	<dc:description xml:lang="id">Analisis aliran daya pada sistem tenaga listrik merupakan suatu analisis yang bertujuan untuk mengetahui kondisi operasi kerja suatu sistem tenaga listrik. Penelitian ini bertujuan untuk mengimplementasikan fuzzy logic dalam analisis aliran daya dengan study kasus sistem listrik Sulawesi Bagian Selatan (Sulbagsel). Untuk mencapai tujuan penelitian, Newton Raphson digunakan sebagai basis untuk mengatur program fuzzy logic dengan menggunakan perangkat lunak MATLAB. Pengimplementasian fuzzy logic memerlukan beberapa tahapan yakni menentukan masukan dan keluaran, menentukan membership-function, menentukan rules base, tahapan inferensi yang menggunakan metode Mamdani. Mengacu nilai alirandaya dengan metode Newton Raphson, hasil menunjukkan fuzzy logic bekerja secara baik dengan rata-rata nilai MAPE rugi-rugi daya sebesar 4.134%. Waktu komputasi dengan fuzzy logic sebesar 136.3660 ms sedangkan metode Newton Raphsonmembutuhkan waktu 192.9577 ms.</dc:description>
	<dc:publisher xml:lang="id">Departemen Teknik Elektro</dc:publisher>
	<dc:date>2022-11-14</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="id">Artikel Peer-review</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/eksitasi/article/view/24006</dc:identifier>
	<dc:source xml:lang="en">Jurnal Eksitasi; Vol. 1 No. 2 (2022): Journal of Excitation of the Department of Electrical Engineering. Vol. 1. No. 2. 2022; 1-6</dc:source>
	<dc:source xml:lang="id">JURNAL EKSITASI DEPARTEMEN TEKNIK ELEKTRO; Vol 1 No 2 (2022): Jurnal Eksitasi Departemen Teknik Elektro Vol. 1. No. 2.  2022; 1-6</dc:source>
	<dc:source>2829-5110</dc:source>
	<dc:language>id</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/eksitasi/article/view/24006/8859</dc:relation>
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