Sistem Prediksi Efisiensi Konsumsi Listrik Konsumsi Listrik Rumah Tangga dengan Fuzzy Logic
-
Arief Tri Wicaksono
*
Universitas Muhammadiyah Sidoarjo, Sidoarjo,
Indonesia
- Syamsudduha Syahrorini Universitas Muhammadiyah Sidoarjo, Sidoarjo, Indonesia
- Izza Anshory Universitas Muhammadiyah Sidoarjo, Sidoarjo, Indonesia
- Jamaaluddin Jamaaluddin Universitas Muhammadiyah Sidoarjo, Sidoarjo, Indonesia (*) Corresponding Author
Abstract
The increase in household electricity consumption in Indonesia poses a major challenge to efficient and sustainable energy management. This research aims to develop a household electricity consumption status prediction system based on Mamdani fuzzy logic using the Python programming language. The system was designed to classify electricity usage into “efficient” or “inefficient” categories based on three main input variables: electrical power, usage duration, and number of electronic devices. The design process included fuzzification, rule base construction, Mamdani inference, and defuzzification, with the final results integrated into Google Sheets. System validation was performed by comparing 55 predicted results to actual labeled data. Performance evaluation using confusion matrix analysis showed an overall accuracy of 80% (44 out of 55 data) and a Mean Squared Error (MSE) value of 0.20. The main advantage of this model is its perfect sensitivity (recall) (100%) in detecting inefficient classes, as evidenced by a False Negative (FN) value of 0. The system successfully identified all 39 actual inefficient cases, although there were 11 efficiency cases that were classified as inefficient (False Positive). This research contributes to providing a precise digital tool that can increase public awareness of energy efficiency and support the control of household electricity consumption.
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References
Acun, F., & Çunkaş, M. (2023). Low-cost fuzzy logic-controlled home energy management system. Journal of Electrical Systems and Information Technology, 10(1). https://doi.org/10.1186/s43067-023-00100-6
Alnavis, N. B., Wirawan, R. R., Solihah, K. I., & Nugroho, V. H. (2024). Energi listrik berkelanjutan: Potensi dan tantangan penyediaan energi listrik di Indonesia. Journal of Innovation Materials, Energy, and Sustainable Engineering, 1(2), 119–139. https://doi.org/10.61511/jimese.v1i2.2024.544
Caldera, M., Hussain, A., Romano, S., & Re, V. (2023). Energy-Consumption Pattern-Detecting Technique for Household Appliances for Smart Home Platform. Energies, 16(2), 1–23. https://doi.org/10.3390/en16020824
Hafid, M. A. A., Rizky, S. B., Rafsanjani, Z., Rachman, I., Indarti, R., Rinanto, N., & Khumaidi Agus. (2024). Pendekatan Fuzzy Logic dalam Rancangan Otomatisasi Penggunaan Energi Listrik pada Sistem Pendingin Udara. Jurnal Elektronika Dan Otomasi Industri, 11(2), 363–375. https://doi.org/http://dx.doi.org/10.33795/elkolind.v11i2.5467 363
Kamila, R. K., Martini, N. P. D. A., & Krisnawati, L. (2024). Sistem Pemantauan Dan Kendali Konsumsi Listrik Rumah Tangga Dengan Logika Fuzzy Berbasis Internet of Things. Transmisi: Jurnal Ilmiah Teknik Elektro, 26(4), 214–223. https://doi.org/10.14710/transmisi.26.4.214-223
Kiswantono, A. (2025). Transformasi Energi Rumah Tangga: Otomatisasi Beban Listrik Dengan Iot. JITET (Jurnal Informatika Dan Teknik Elektro Terapan), 13(1), 179–186. https://doi.org/http://dx.doi.org/10.23960/jitet.v13i1.5554 TRANSFORMASI
Mosa, F. H., & Bisilisin, F. Y. (2025). Klasifikasi Pola Konsumsi Energi Listrik Rumah Tangga Menggunakan Metode K-Nearest Neighbor Badan Pusat Statistik Kota Kupang menyediakan data penggunaan listrik untuk seluruh wilayah Kota Kupang . Publikasi " Kota Kupang Dalam Angka 2025 " melaporkan bah. Jurnal Ilmiah Teknik Informatika Dan Komunikasi, 5(November), 529–539.
Nuryati, N. (2022). Faktor yang Memengaruhi Konsumsi Listrik Pelanggan Industri Di Pulau Jawa. Jurnal SEKURITAS (Saham, Ekonomi, Keuangan Dan Investasi), 5(2), 169. https://doi.org/10.32493/skt.v5i2.12434
Oktarina, A. D., Abadi, A. M., & Hamdi, S. (2025). Application of Mamdani Fuzzy Logic in Refrigerator Selection. Journal of Mathematics and Its Applications, 19(3), 1681–1698. https://doi.org/10.30598/barekengvol19iss3pp1681-1698
Peni Rachmawati Hanifah, & I. B. Putu Purbadharmaja. (2025). Analisis Pengaruh Konsumsi Listrik dan Konsumsi Bahan Bakar Fosil Terhadap Eksternalitas Negatif Emisi Gas Rumah Kaca di Indonesia. Jurnal Visi Manajemen, 11(2), 298–314. https://doi.org/10.56910/jvm.v11i2.548
Rahmani, O., Rezania, S., Beiranvand Pour, A., Aminpour, S. M., Soltani, M., Ghaderpour, Y., & Oryani, B. (2020). An overview of household energy consumption and carbon dioxide emissions in Iran. Processes, 8(8). https://doi.org/10.3390/PR8080994
Rizaldi, A. M., Ridwan, A., Anisa, Y., Salam, R., Intyanto, G. W., Cotfas, D. T., Cuong, V. H., & Udoudom, U. I. (2023). Short-Term Forecasting of Electricity Consumption Using Fuzzy Logic. Journal of Renewable Energy, Electrical, and Computer Engineering, 3(2), 44–54. https://doi.org/10.29103/jreece.v3i2.11281
Rofiq, M. A., Sirait, F., Sebayang, I. S. D., Pangaribowo, T., Supegina, F., Attamimi, S., Husodo, B. Y., & Pradana, H. A. (2024). Implementasi Logika Fuzzy Terhadap Kontrol dan Monitoring Pada Konsumsi Energi Listrik Rumah Tangga. Jurnal Teknologi Elektro, 15(1), 47. https://doi.org/10.22441/jte.2024.v15i1.008
Satrovic, E., & Adedoyin, F. F. (2022). An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities. Environmental Science and Pollution Research, 29(52), 78330–78344. https://doi.org/10.1007/s11356-022-21099-9
Setiartiti, L., & Rachmawatie, D. (2022). Regional Energy Master Plan based on Low Emission Scenarios: Case Study of Central Java Province, Indonesia. Jurnal Ekonomi & Studi Pembangunan, 23(1), 171–187. https://doi.org/10.18196/jesp.v23i1.14070
Sinaga, D. H., Sasue, R. R. O., & Hutahaean, H. D. (2021). Pemanfaatan Energi Terbarukan Dengan Menerapkan Smart Grid Sebagai Jaringan Listrik Masa Depan. Journal Zetroem, 3(1), 11–17.
Sudarmanto Hasan, Marini Susanti Hamidun, & Dewi Wahyuni K. Baderan. (2025). Manajemen Sumber Daya Energi Terbarukan : Optimalisasi PLTS-PLTB untuk Kelistrikan Berkelanjutan di Pulau Dudepo. Konstruksi: Publikasi Ilmu Teknik, Perencanaan Tata Ruang Dan Teknik Sipil, 3(3), 36–45. https://doi.org/10.61132/konstruksi.v3i3.854
Suprapto, H., & Simanjuntak, P. (2020). Fuzzy Logic Untuk Memprediksi Pemakaian Listrik. Jurnal Comasie, 3(2), 31–39.
Ulkya Maisarah, Puti Andiny, & Safuridar Safuridar. (2024). Pengaruh Tingkat Penggunaan Energi Listrik terhadap Pertumbuhan Ekonomi di Indonesia. Jurnal Ekonomi Dan Pembangunan Indonesia, 2(4), 59–68. https://doi.org/10.61132/jepi.v2i4.943
Zulkarnain, M. A. (2024). Penggunaan Kendaraan Listrik di Indonesia dan Relevansinya dengan Ajaran Konservasi Lingkungan dalam al-Qur’an. Al-Adabiya: Jurnal Kebudayaan Dan Keagamaan, 19(2), 153–174. https://doi.org/10.37680/adabiya.v19i2.6144
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