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Sutriyono
Program Studi Teknik Industri S-2, Pascasarjana, Institut Teknologi Nasional Malang
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Journal : Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia

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Prediksi Pola Konsumsi Energi Listrik Menggunakan Support Vector Machine Untuk Manajemen Energi Listrik Di PT Olifant Sutriyono
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 2 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

PT Olifant, as a company operating in the manufacturing sector, has its address in Pasir Jaya village, Jatiuwung District, Tangerang City, carries out energy management in the form of energy usage planning, namely the process of predicting energy usage using average values from historical data. However, it turns out that it does not have high accuracy, especially if there are data anomalies within that period. To get better accuracy, it is necessary to classify the reference data (training data) so that it can be sorted out which data needs to be used and which data is not necessary. This classification process can be done with Support Vector Machine (SVM), which is one application of Machine Learning. By using SVM, it is proven to have good capabilities on limited historical data. The steps that will be used in this research are collecting electricity consumption data through literature studies of documents or energy consumption records and field observations. The data obtained will be processed using the Support Vector Machine (SVM) method which consists of 2 phases; First, the Training Phase to recognize energy consumption patterns from historical data. The input data will be classified and will be represented in a formula. Second, the Testing Phase is for applying the formula from the training phase to actual data on electrical energy consumption. Predicted data will be tested with actual data to see any deviations that occur. This is a measure of success that is monitored, namely the level of accuracy in predicting electrical energy consumption patterns resulting from the introduction of electrical energy consumption patterns in the training phase.
Co-Authors abdi firdaus Abu Bakar Bill Gates Achmad Widi Rochmani Adi Prasetya, Rafli Agil Suryanto Ahmad Fadhillah Ahmad Fathur Ilham Ahmad Hidayat Ahmad Shofwan Nizomi Ainun Jariyah Ajay Sepangan Aldi Hermawan Alifia Ananda Putri Aria Nurman Abdullah Arip Khasanul Muna Arkana Dikta Nalendra Asep Saepudin Bambang Wicaksono Hariyadi Bangkit Sutowiyono bayu pamungkas Dela Rery Deni Dwi Rifa'i Devi Febriyanti Widia Astuti Dhayal Gustopo Dian Eka Kusuma Wardani Diana, Aqila Dimas Muhammad Yusup Ditto Saepoel Rachman Duwi Purnomo, Handika Eko Marsyahyo Eli Rohmah Elma Endryana Sugiyantoro Everly Titaley Fadhil, Muhammad Fathin Fadli Ramadhan Fahmi Abdillah, Ahmad Fajar Lukman Hakim Farhat Adriansyah Febriansyah, Adi Febriyani Nurhida Fendrizal Akbar Fery Ramdani Fika Widya Pratama Firmansyah, Azis Fitra Raihan Flying, Riky Fourry Handoko Gilang Rahmathu Hardian Gustopo, Dayal Hengky Agus Setiawan Heri Dwi Putranto Imam Safi'i Januar Irwansyah Jhonatan Maringan Situmorang Jhosua Putra Gultom Jul Padri Keanu Rafi Pratama Khurotul Aini Kurnia Rakhman, Dedi Kurnianto Octian Junaidi Kurniawan M. Idris Mahrus Ali Mariza Kertaningtyas Maulana Ichsan Mohamad Zulfikri Mohd Zacky Bharya Muhamad Sobran Muhamad Tegar Muhamad Yogi Setiawan Muhammad Alfian Nurrizky Muhammad Azis Muhammad Fahry Muhammad Fauzan Hussaeni Muhammad Furqon APD Muhammad Miftah Muhammad Rifqi Juniawan Niko Priambhodo Nur Ardhayaguna, Daffa Nurhidayat Nurul Hikmah, Intan Priana, Pajar Prima Vitasari Priska Dinianti Putra Dwi Agustya Putri, Kabita Camelia Rafli Harahap, Muhamad Rafli Untara Rahayu Isnin Astuti Rahel Juliana Nababan Ratna Wardani Ray Virana Rajessa Regi Setiawan Rian Setiawan Ricky Alexander Riky Flying Rusdi Safi'i, Imam Salim Sandy Efriyanto ST Salmia L.A. SUGIYANTO Sutarti Sutarti, S Swasti, Cantika Tiong Iskandar Titaley, Everly Tri Puji Antoro Velix Renata Yossie Yumiati Yusuf Putra Pratama, Andes Zacky Algifakhri