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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Latif Prasetyohadi
Institut Teknologi Sepuluh Nopember
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

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Analisis Konsumsi Energi Listrik Pelanggan Dan Biaya Pokok Produksi Penyediaan Energi Listrik dengan Machine Learning Raditya Hari Nugraha; Eko Yuwono; Latif Prasetyohadi; Yanuardhi Arief B; Harry Patria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.424

Abstract

PT PLN (Persero) during the Covid-19 pandemic was one of the companies whose sales growth was affected by the decline in electricity consumption in several sectors. Another condition is that several power plant and substation construction projects have fulfilled the realization commitment to the RUPTL from PT PLN (Persero). This has resulted in PT PLN (Persero) being faced with an over supply condition between power capacity and customer usage load. Realization of sales growth until July 2021 was 4.44% (144,788 TWh). Energy consumption in July 2021 was 20.55 TWh where the growth of kWh sales in July 2021 comparing with July 2020 began to show a recovery of +1.82%. The factor that most affected business and industrial growth was the manufacturing sector in Indonesia experiencing a slowdown/contraction as reflected in the PMI (Purchasing Managers Index) which decreased from 53.5 to 40.1. Growth is strongly influenced by consumer behavior in responding to government regulations, especially related to controlling the spread of Covid-19 in Indonesia in the form of restrictions on social activities (PSBB, PPKM, or Lockdown) which have been effectively implemented since April 2020 until now. Based on the analysis of the customer's electrical energy consumption data per industrial sector, as well as using technical data on the availability of power per electrical sub-system and the cost of producing electrical energy in an area, an evaluation model will be obtained that can be used in selecting the criteria for prospective customers who will be given program offers "SEMAKIN PRODUKTIF". By using "SEMAKIN PRODUKTIF" program data modeling, it is hoped that prospective customers will be given program offers so that they can be an opportunity to increase sales growth of electrical energy which is targeted to grow 6% in December 2021
Analisis Konsumsi Energi Listrik Pelanggan Dan Biaya Pokok Produksi Penyediaan Energi Listrik dengan Machine Learning Raditya Hari Nugraha; Eko Yuwono; Latif Prasetyohadi; Yanuardhi Arief B; Harry Patria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.424

Abstract

PT PLN (Persero) during the Covid-19 pandemic was one of the companies whose sales growth was affected by the decline in electricity consumption in several sectors. Another condition is that several power plant and substation construction projects have fulfilled the realization commitment to the RUPTL from PT PLN (Persero). This has resulted in PT PLN (Persero) being faced with an over supply condition between power capacity and customer usage load. Realization of sales growth until July 2021 was 4.44% (144,788 TWh). Energy consumption in July 2021 was 20.55 TWh where the growth of kWh sales in July 2021 comparing with July 2020 began to show a recovery of +1.82%. The factor that most affected business and industrial growth was the manufacturing sector in Indonesia experiencing a slowdown/contraction as reflected in the PMI (Purchasing Managers Index) which decreased from 53.5 to 40.1. Growth is strongly influenced by consumer behavior in responding to government regulations, especially related to controlling the spread of Covid-19 in Indonesia in the form of restrictions on social activities (PSBB, PPKM, or Lockdown) which have been effectively implemented since April 2020 until now. Based on the analysis of the customer's electrical energy consumption data per industrial sector, as well as using technical data on the availability of power per electrical sub-system and the cost of producing electrical energy in an area, an evaluation model will be obtained that can be used in selecting the criteria for prospective customers who will be given program offers "SEMAKIN PRODUKTIF". By using "SEMAKIN PRODUKTIF" program data modeling, it is hoped that prospective customers will be given program offers so that they can be an opportunity to increase sales growth of electrical energy which is targeted to grow 6% in December 2021
Analisis Minat Penggunaan Fitur Permohonan Layanan Pln Pada Aplikasi New PLN Mobile Dengan Menggunakan Metode TAM 3 Latif Prasetyohadi; Erma Suryani
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.517

Abstract

PT PLN (Persero) as a state-owned company with a business in the electricity sector is always trying to improve the quality of service to customers. One of the efforts made is to develop an existing application platform, namely PLN Mobile into New PLN Mobile. As a development from the previous application, PLN has added features for requesting new installation services, changing power, and applying for tariff changes in the New PLN Mobile application. However, with the addition of a new feature, namely the PLN service request feature in the New PLN Mobile application, it will change the PLN service business process that has been running for years. Changes in business processes will affect customer habits in applying for PLN services. This study aims to determine how customer acceptance of the service request feature in the New PLN Mobile application is measured through the intensity (perceived usefulness) and ease of use of the customer. The method used in this research is the distribution of questionnaires followed by statistical analysis using the Technology Acceptance Model (TAM) 3. TAM is a statistical method that combines technology acceptance with a structured equation model. The results obtained are Perceived Usefulness (PU) is influenced by Subjective Norm (SN), Job Relevance (REL), Output Quality (OUT) and Result of Demonstrability (RES), while Perceived Ease of Use (PEOU) is influenced by Perception of External Control (PEC), Computer Anxiety (CANX), Computer Playfulness (CPLAY) and Perceived Enjoyment (ENJ), then Behavioral Intention (BI) is influenced by Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) and Use Behavioral (USE) is influenced by Behavioral Intention (BI). This research is expected to provide input in developing the New PLN Mobile application and improving the quality of PLN services in the future.
Analisis Minat Penggunaan Fitur Permohonan Layanan Pln Pada Aplikasi New PLN Mobile Dengan Menggunakan Metode TAM 3 Latif Prasetyohadi; Erma Suryani
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.517

Abstract

PT PLN (Persero) as a state-owned company with a business in the electricity sector is always trying to improve the quality of service to customers. One of the efforts made is to develop an existing application platform, namely PLN Mobile into New PLN Mobile. As a development from the previous application, PLN has added features for requesting new installation services, changing power, and applying for tariff changes in the New PLN Mobile application. However, with the addition of a new feature, namely the PLN service request feature in the New PLN Mobile application, it will change the PLN service business process that has been running for years. Changes in business processes will affect customer habits in applying for PLN services. This study aims to determine how customer acceptance of the service request feature in the New PLN Mobile application is measured through the intensity (perceived usefulness) and ease of use of the customer. The method used in this research is the distribution of questionnaires followed by statistical analysis using the Technology Acceptance Model (TAM) 3. TAM is a statistical method that combines technology acceptance with a structured equation model. The results obtained are Perceived Usefulness (PU) is influenced by Subjective Norm (SN), Job Relevance (REL), Output Quality (OUT) and Result of Demonstrability (RES), while Perceived Ease of Use (PEOU) is influenced by Perception of External Control (PEC), Computer Anxiety (CANX), Computer Playfulness (CPLAY) and Perceived Enjoyment (ENJ), then Behavioral Intention (BI) is influenced by Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) and Use Behavioral (USE) is influenced by Behavioral Intention (BI). This research is expected to provide input in developing the New PLN Mobile application and improving the quality of PLN services in the future.
Co-Authors Eko Yuwono Erma Suryani Harry Patria Raditya Hari Nugraha Yanuardhi Arief B