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All Journal Elkom: Jurnal Elektronika dan Komputer Dimas: Jurnal Pemikiran Agama untuk Pemberdayaan SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam JMM (Jurnal Masyarakat Mandiri) Jurnal Teknik Informatika UNIKA Santo Thomas Dharma Bakti Media Informatika G-Tech : Jurnal Teknologi Terapan Jurnal Teknimedia: Teknologi Informasi dan Multimedia Journal of Community Development Industrika : Jurnal Ilmiah Teknik Industri Jurnal Media Informatika Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Politeknosain Jurnal Pendidikan Dasar dan Menengah: Edumedia Jurnal Pendidikan Islam Teknomatika: Jurnal Informatika dan Komputer Babakti : Journal of Community Engangement eductum : Jurnal Literasi Pendidikan Journal of Information Technology and its Utilization Babakti: Journal of Community Engangement
Titik Rahmawati
Universitas Sarjanawiyata Tamansiswa
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : Politeknosain

 1 
Penerapan Metode Arima Box-Jenkins Untuk Peramalan Konsumsi Listrik Titik Rahmawati; Landung Sudarmana; Agung Priyanto
Politeknosains Vol 19 No 1 (2020): Jurnal Politeknosains Volume 19 Nomor 1 - Maret 2020
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

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Abstract

Electric energy consumption in Indonesia is increasing following the growth of national economy. The rise of activities that need electric energy must be well managed and anticipated. Thus, forecasting of electricity demand in the near future should be considered. One of forecasting methods that has often been used is ARIMA (Autoregressive Integrated Moving Average) time series. This paper aims to explain how to use ARIMA method to forecast electricity energy consumption in a particular area along with its accuracy. The data source supplied to the method is secondary data from PLN (Perusahaan Listrik Negara). For period of 5 years of forecasting, the result shows that the best model of ARIMA method is ARIMA (0,1,0). MAPE (Mean Absolute Percentage Error) value of the model is 0.33%, meaning that the accuracy will be 99.67%.
Co-Authors A.M Wibowo Agung Priyanto Agung Priyanto Agung Priyanto Ahmad Tajuddin Arafat, Ahmad Tajuddin Al Baihaqi, Javier Alfi Sa'diya, Nafisa Anjasmara Tanjung Shakti Ari Cahyono Arif Himawan Arif Himawan, Arif Arifah Purnamaningrum Atthaya Nanda Yomura Buntoro Irawan Buntoro Irawan Cahyawati, Rina Suci Damayanti, Alvionita Dina Yulina H Dina Yulina Heriyani Dina Yulina Heriyani Diyan Dewana Jaya Dwi Istiyani Eka Yulia Sari Erna Wijayanti Fauzi, Iwan Gilang Prasetyo, Wahyu Hisanah, Iklil Iklil Hisanah Illiyyun, Naili Ni’matul Javier Al Baihaqi Jiwandono, Nahnu Robid Julia Kurniasih Kasang, Fredimus Kharomen, Agus Imam Kusmendar, Kusmendar Kusmiyati Landung Sudarmana Landung Sudarmana Landung Sudarmana Landung Sudarmana Landung Sudarmana, Landung Maharani, Rahil Putri Mario Soemriyat Sengga Sae Milan Nesty, Galih Putri Misbah Zulfa Elizabeth Muhajarah, Kurnia Mulyani Mudis Taruna Nada, Ella Izzatin Nafisa Alfi Sa'diya Nugroho Eko Atmanto, Nugroho Eko Priyadi, Danang Rafi Rasyida, Nisa Roni Kurniawan Saadah, Ira Naila Safitri, Ririh Megah Sakti, Anjasmara Tanjung Salim, Zuraida Febriani Septianto, Yudhistira Wahyu Shalli Anziila, Astrid Subekti, Dayat Syaroni, Mokh Sya’roni, Mokh V. Reza Bayu Kurniawan V.Reza Bayu Kurniawan V.Reza Bayu Kurniawan3