Model Optimasi Penentuan Lokasi Posko Pelayanan Teknik PLN Memperhatikan Hasil Simulasi Data Kegagalan Historis

Rachmansyah, Ihram (2025) Model Optimasi Penentuan Lokasi Posko Pelayanan Teknik PLN Memperhatikan Hasil Simulasi Data Kegagalan Historis. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

PT PLN (Persero) adalah Perusahaan penyedia utama energi listrik di Indonesia. Menurut data statistik Perusahaan, diakhir tahun 2023 jumlah pelanggan PT PLN (Persero) mencapai 89 Juta pelanggan. Salah satu Key Performance Indicator (KPI) yang menentukan kualitas layanan adalah Response Time atas gangguan jaringan listrik, yang memengaruhi kepuasan pelanggan dan keberlanjutan Operasional. Penelitian ini bertujuan memanfaatkan data historis gangguan selama 3 tahun terakhir dalam mensimulasikan pola kejadian gangguan di masa depan dan merancang model optimasi lokasi Posko Pelayanan Teknik yang dapat meminimalkan rata-rata Response Time, persentase gardu distribusi yang tidak dapat dilayani sesuai KPI Response Time atas gangguan serta waktu tempuh maksimal antara gardu dan posko pelayanan teknik. Data historis gangguan gardu distribusi selama tiga tahun terakhir di wilayah kerja PT PLN (Persero) - ULP Prima Karawang digunakan sebagai dasar simulasi Monte Carlo. Distribusi Weibull digunakan untuk menghitung Cummulatif Density Function (CDF) masing – masing gardu padam yang dapat menggambarkan probabilitas kegagalan gardu pada periode tertentu. Data hasil simulasi ini digunakan sebagai input dalam Multi-Objective Location Model untuk menentukan jumlah dan lokasi optimal posko pelayanan teknik. Hasil penelitian menunjukkan bahwa model optimasi yang dirancang mampu menurunkan rata-rata Response Time dari 35,71 menit menjadi di bawah target KPI 30 menit, serta mengurangi persentase gardu yang tidak tercakup dalam KPI dari 39,8% menjadi kurang dari 5%. Model yang dikembangkan dapat diadaptasi untuk wilayah kerja lain PT PLN (Persero) dengan pola gangguan dan kebutuhan layanan yang berbeda, sehingga mendukung upaya perusahaan untuk meningkatkan kepuasan pelanggan dan keandalan sistem distribusi diseluruh wilayah kerja PLN di Indonesia.
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PT PLN (Persero) is the main electricity provider company in Indonesia. According to the Company's statistical data, by the end of 2023, the number of PT PLN (Persero) customers reached 89 million. One of the Key Performance Indicators (KPI) that determines the quality of service is the Response Time to electricity disturbances, which affects customer satisfaction and operational sustainability. This research aims to utilize historical disturbance data over the past three years to simulate the pattern of future disturbance events and to design an optimization model for the location of Technical Service Posts that can minimize the average Response Time, the percentage of distribution substations that cannot be served according to the KPI Response Time for disturbances, and the maximum travel time between substations and technical service posts. Historical disturbance data of distribution substations over the past three years in the working area of PT PLN (Persero) - ULP Prima Karawang were used as the basis for the Monte Carlo simulation. The Weibull distribution was used to calculate the Cumulative Density Function (CDF) of each outage substation, which can describe the probability of substation failure within a certain period. The simulation results were used as input for the Multi-Objective Location Model to determine the optimal number and location of technical service posts. The research results show that the designed optimization model is able to reduce the average Response Time from 35.71 minutes to below the KPI target of 30 minutes, and reduce the percentage of substations not covered within the KPI from 39.8% to less than 5%. The developed model can be adapted to other working areas of PT PLN (Persero) with different disturbance patterns and service needs, thereby supporting the company’s efforts to improve customer satisfaction and the reliability of the distribution system throughout PLN’s operational areas in Indonesia.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Optimasi Lokasi, Multi Objective Location Model, Posko Pelayanan Teknik, Simulasi Monte Carlo, PT PLN (Persero), Waktu Tanggap Gangguan, Location Problem, Multi Objective Location Model, Monte Carlo Simulation, Emergency Response Team, Response Time.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD30.28 Planning. Business planning. Strategic planning. H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Ihram Rachmansyah
Date Deposited:	14 May 2025 01:56
Last Modified:	14 May 2025 01:56
URI:	http://repository.its.ac.id/id/eprint/119063

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