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All Journal TEKNOLOGI INFORMASI Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUSIFO : Jurnal Sistem Informasi IJIS - Indonesian Journal On Information System Jiko (Jurnal Informatika dan komputer) Patria Artha Technological Journal Journal Technology and Implementation Bussines Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Teknik Informatika (JUTIF) Jurnal Computer Science and Information Technology (CoSciTech) BAKTI : Jurnal Pengabdian Kepada Masyarakat Jurnal Suara Pengabdian 45
ACHMAD FUAD
Fakultas Teknik Universitas Khairun
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Social Sciences Transportation Other

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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

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Implementasi Metode Fuzzy Tsukamoto Untuk Memprediksi Besarnya Pemakaian Listrik Rumah Tangga Tempola, Firman; Sujabtri Kabau, Haan; Fuad, Achmad; Rosihan; Lutfi, Salkin
Computer Science and Information Technology Vol 5 No 2 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i2.6682

Abstract

Many people are still confused about ordering the voltage level for electricity use in newly built homes, so that for households that previously needed a voltage of 900 VA, it was sufficient but used 1300 VA and vice versa, if the use of a large voltage of 900 VA is not in accordance with the number of customers' needs, then there will be a disturbance in the balance between the amount of voltage used and customer needs, but by applying the fuzzy method this can be predicted. The aim of this research is to predict the voltage of household electricity usage using the fuzzy Tsukamoto method. This method was chosen because it is flexible, and has tolerance for existing data and also has the advantages of being faster in computing, more intuitive, and also produces accurate prediction values. The results of implementing the fuzzy Tsukamoto method were tested for accuracy using the Mean Absolute Percentage Error (MAPE) method. The first test used 20 data as test data and the second test used 30 test data, so that the results obtained from the first test were 8.35% and the second test was 11.77%. Based on the table of capability values of the MAPE method forecasting model, the results of implementing the fuzzy Tsukamoto method can be used to predict the amount of household electricity usage with a percentage value < 20%, which is a good forecasting model capability.
Co-Authors ., Rosihan Abdul Mubarak Abdul Mubarak Abdullah, Nur’Ain S. alfa nugrah A. Hi Usman Amal Khairan Ani Adam Annisa, Fardani Arifka, Nandhita Ariyandi S Soroto Assaf Arief, Assaf Azim Hisyam Baksir Barakati, Kartika H Dahlan, Sigrit A.M Dana Indra Sensuse Endah Harisun Faisal F Taran Fhadli Muhammad Fhadli, Muhamad Hairil Kurniadi Siradjudin hamid, mustamin Harmianto, Harmianto Ibrahim, Adelina Ibrahim, Hummairah Idrus, Fitriyani Samsul Irawati Usman Jamil, Moh Jamil, Moh Jamil, Moh. Kapita, Syarifuddin N Kusuma, Artiarini Moh Jamil mohamad jamil Muhammad Aziz Muhammad, Miftah Munazat Salmin Putra, Surya Adi Pratama Ramadhan, M Thaariq Rendy Pratama Rosihan rosihan, rosihan Saiful Do Abdullah Salkin Lutfi Salman, Ardi Sirajuddin, Hairil Kurniadi Sujabtri Kabau, Haan Susanto Usman Syah, Babullah A Syamsuddin, Faris Syarifuddin Kapita Syarifuddin N Kapita Tempola, Firman