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All Journal JKIE (Journal Knowledge Industrial Engineering) Ensiklopedia of Journal Jurnal Media Teknik dan Sistem Industri Proceeding Mercu Buana Conference on Industrial Engineering Serambi Engineering
Fernando, Very
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Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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A STATISTICAL APPROACH TO DETERMINING TARGETED SUBSIDY AMOUNTS BASED ON ENERGY CONSUMPTION IN INDONESIA Fernando, Very; Rusadi, Widya A; Ernes, Risa Nadia; Wirawan, Nanda Tommy
Ensiklopedia of Journal Vol 7, No 3 (2025): Vol. 7 No. 3 Edisi 1 April 2025
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33559/eoj.v7i3.3022

Abstract

Energy subsidies are an important government policy to ensure affordable energy access for the public, especially for underprivileged groups. However, determining the appropriate subsidy amount is often inaccurate. This study proposes a statistical approach based on the Probability Density Function (PDF) and Cumulative Distribution Function (CDF) to analyze energy consumption patterns in society, covering electricity, fuel (BBM), and gas. This method aims to identify the distribution of energy consumption across different social groups to enable more accurate classification of subsidy recipients. The PDF analysis is used to evaluate the probability of energy consumption within a specific range, while the CDF is utilized to determine the consumption threshold that serves as the basis for setting subsidy values. Using three energy variables (electricity, fuel, and gas), fuel consumption accounts for the largest percentage, ranging from 60-70% of total energy consumption among non-affluent households, with an average total expenditure between 330,000 to 480,000 per month. Subsidies can be directly allocated in the form of cash for energy needs, thereby improving subsidy allocation efficiency by PLN and Pertamina. Keywords : energy subsidies, energy consumption, PDF, CDF, subsidy allocation
Usulan Metode KPI Transmisi Tenaga Listrik pada Perusahaan Listrik Negara (PT. PLN) Berdasarkan Balanced Scorecard Putera, Hilmana Radhia; Fernando, Very
Jurnal Serambi Engineering Vol. 10 No. 3 (2025): Juli 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

PT. Perusahaan Listrik Negara (PLN) is an Indonesian electricity provider. In the midst of rapid global changes, PLN is required to always be ahead in terms of service quality, sustainable business models, and technological developments. PLN must always be ahead in terms of service quality, sustainable business models, and technological developments. To support PT. PLN, appropriate performance measurements, such as those for electricity transmission performance, are required. Electricity transmission performance can be measured using Key Performance Indicators (KPIs). PT. PLN's KPIs in 2019 show that two performance indicators, SAIDI and SAIFI, did not reach their targets. Additionally, the company's sustainability report only contains two performance indicators, but performance measurement could be expanded to include other indicators.   This research aims to identify the appropriate performance indicators for PT. PLN's electricity transmission system and to establish strategic goals for the company. PLN using the balanced scorecard method. Based on a literature review and analysis, this study identified the following performance indicators: SAIFI, SAIDI, CAIDI, AIT, OHLMCI, SMCIS, and the ratio of certified officers. Five strategic objectives were obtained, including increased ROA and ROI, increased customer satisfaction, increased opportunities for uninterrupted energy sales, increased equipment reliability, and increased employee competency in inspection and maintenance.
Analysis Capability Process of Fuel Tank Production: A Case Study in Manufacturing Industry Fernando, Very; Setiawan, Indra; Rizki, Yulizan; Hardi Purba, Humiras; Nurul Azizah, Fahriza; Iskandar, Isdaryanto
Journal Knowledge Industrial Engineering (JKIE) Vol 9 No 1 (2022): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v9i1.2919

Abstract

The competition in the automotive industry is increasingly challenging, where the company's task of ensuring customers are satisfied with the products we produce is the main factor in winning them. That is the value of the manufacturing industry to continuously improve quality. This study aims to reduce the reject rate and determine the priority of problems in the fuel tank production process. This study uses the six sigma method based on a simple problem-solving methodology consisting of Define, Measure, Analyze, Improve and Control. This method combines various statistical tools and other process improvement approaches. The results of this study show that the company's Sigma level in February carried out in the welding & press section obtained a sigma value of 4.0 and process capability of 1.34. This means that the quality control process that has been carried out has not been going well because the product is defective and still needs to be improved. Finally, this paper provides some recommendations for improving process capability.
Interval Waktu Pemeliharaan Berdasarkan Reliability Centered Maintanance (RCM) Pada Kinerja Saluran Udara Tegangan Menengah (SUTM) Perusahaan Listrik Negara Fernando, Very; Hernadewita, Hernadewita; Purba, Humiras Hardi
Jurnal Media Teknik dan Sistem Industri Vol 5, No 2 (2021)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v5i2.1459

Abstract

The State Electricity Company (PLN) serves all Indonesian people from Sabang to Merauke with overhead lines and cable lines. The frequency of blackouts in an area due to disturbances in the channel. PLN seeks to suppress disturbances by carrying out maintenance, namely turning it off or without being extinguished. Medium Voltage Air Lines (SUTM) are more frequent disturbances. The worst damage happened to the conductors, Jumpers, and insulators. Damage will often occur if it is not predictable. In order to find out when damage occurs, a method based on Predictive Maintenance is used, namely maintenance based on historical disturbance data statistics. Predictive Maintenance can be realized by using Reliability Centered Maintenance (RCM). From the results of RCM calculations and statistical data on one PLN unit, there is a new value for predictive maintenance time intervals, for conductors maintenance schedule must be carried out every 2 days, Jumpers every 12 days, and isolators every 16 days before serious damage occurs and widespread blackout Perusahaan Listrik Negara (PLN) melayani seluruh masyarakat Indonesia dari Sabang sampai Merauke dengan saluran udara dan saluran kabel. Frekuensi terjadi pemadaman pada suatu wilayah karena adanya gangguan pada saluran tersebut. PLN berupaya untuk menekan gangguan dengan melakukan pemeliharaan, yaitu dipadamkan atau tanpa dipadamkan. Saluran Udara Tegangan Menengah (SUTM) lebih sering terjadi gangguan. Kerusakan terparah ternyata terjadi pada konduktor, Jumper dan isolator. Kerusakan akan sering terjadi apabila tidak mampu diprediksi. Untuk dapat mengetahui kapan akan terjadi kerusakan digunakan metode berbasis Predictive Maintanance, yaitu pemeliharaan berdasarkan statistik data historis gangguan. Predictive Maintenance dapat terwujud dengan menggunakan  Relliability Centered Maintanance (RCM). Dari hasil perhitungan RCM dan data statsik pada salah satu unit PLN, maka terdapat nilai baru intuk interval waktu pemeliharaan secara predictive, untuk konduktor harus dilakukan penjadwalan pemeliharaan setiap 2 hari, Jumper setiap 12 hari, dan Isolator setiap 16 hari sebelum terjadi kerusakan yang parah dan pemadaman meluas.
Studi Literatur: Pengembangan Framework Big Data Analytic (BDA) Di Distribusi Tenaga Listrik PLN Fernando, Very; Hasbullah, Hasbullah
Proceeding Mercu Buana Conference on Industrial Engineering Vol 3 (2021): RESEARCH DEVELOPMENT BASED ON LITERATURE REVIEW
Publisher : Universitas Mercu Buana

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Abstract

Memasuki era Industry 4.0, data merupakan kebutuhan penting dan vital, eksplorasi yang benar dari data diharapkan dapat meningkatkan daya saing yang mendukung pengambilan keputusan. Transformasi yang cepat dari sektor kelistrikan meningkatkan peluang dan kebutuhan akan analisis data. Di sektor energi di hilir pengambilan data pelanggan listrik menggunakan AMI (Advanced Metering Infrastructure) yang diambil setiap 15 menit menghasilkan volume sebesar 2920 Terabyte dan ini diambil secara terus menerus karena energi listrik dibutuhkan setiap hari dalam kehidupan. Dengan junlah aset yang besar maka mengindikasikan jumlah volume data di Perusahaan Listrik Negara (PLN) sangatlah besar. Maka dari itu penelitian ini bertujuan untuk melakukan studi literatur yang membahas tentang framework aliran data dalam konteks BDA (Big Data Analytic) yang bisa untuk membantu menyelesaikan permasalahan pada sektor energi disisi hilir di PLN. Hasil dari studi ini menghasilkan dua dimensi, yaitu dimensi Single Source of Truth atau Data Life Cycle dan dimensi Asset Life Cycle, dimana didalam dimensi tersebut terdapat 11 Paramater yang digunakan sebagai dasar pembuatan Framework aliran data
Co-Authors Ernes, Risa Nadia Hasbullah Hasbullah Hernadewita, Hernadewita Humiras Hardi Purba Indra Setiawan Isdaryanto Iskandar Nurul Azizah, Fahriza Putera, Hilmana Radhia Rizki, Yulizan Rusadi, Widya A Wirawan, Nanda Tommy