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Journal : Petir

Prototipe Sistem Monitoring Penggunaan Daya Listrik Peralatan Elektronik Rumah Tangga Berbasis Internet Of Things Budi Prayitno; Pritasari Palupiningsih
PETIR Vol 12 No 1 (2019): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.033 KB) | DOI: 10.33322/petir.v12i1.333

Abstract

Power consumption of PLN customers from household sector is quite large. It comes from the use of household appliances, such as refrigerators, televisions, dispensers, lights and air conditioners. The customers assume that their electricity usage is wasteful, but unfortunately it couldn’t be known in detail which household electrical appliances spend the most electricity. So that, difficult for the customers to monitor the power usage of each household electrical equipments. Regarding to this issue, this research focused on making a prototype of a household electrical power usage monitoring system. This system can be used by PLN customers of households sector to find out which household appliances use large power, so that the customers can manage the use of household appliances. In implementing that monitoring, it needs a capable wattmeter devices to measure the power usage of household electronic equipments The results of this measurement electric current, voltage, and power data measured through sensors. Those measurement data is sent to the database server system monitoring through the internet of things (IoT) device so that monitoring can be done through the system in a real time. This study produced a prototype of household electronic equipments power usage monitoring system based on IoT.
Rancang Bangun Sistem Monitoring dan Controlling Penggunaan Daya Peralatan Listrik Rumah Tangga Menggunakan IoT Alwi Muhammad; Budi Prayitno; Rakhmadi Irfansyah Putra; Eka Putra; Pritasari Palupiningsih
PETIR Vol 15 No 1 (2022): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/petir.v15i1.1383

Abstract

Sektor rumah tangga menyumbang persentase terbesar dari total konsumsi listrik Indonesia pada tahun 2019. Pengguna di sektor ini tidak mengetahui secara detail peralatan rumah tangga mana yang paling banyak mengkonsumsi listrik. Penelitian ini bertujuan untuk menghasilkan sistem kontrol dan monitoring peralatan listrik rumah tangga dengan paradigma internet of things. Proses pemantauan dan pengendalian dilakukan untuk mendukung beberapa perangkat rumah tangga. Pada penelitian ini metode yang digunakan untuk membuat prototype alat dengan beberapa tahapan yaitu pembuatan prototype alat, pengumpulan data, dan pembuatan aplikasi mobile. Bagian utama dari perangkat prototipe terdiri dari mikrokontroler NodeMCU, sensor PZEM004T, dan relay. Hasil pembacaan sensor berupa data arus, tegangan, dan daya listrik yang kemudian dikirim dan disimpan dalam database. Setelah itu, data listrik dapat ditampilkan pada aplikasi mobile. Selain itu, juga dapat mengontrol on/off perangkat. Hasil dari penelitian ini adalah prototype perangkat dan aplikasi mobile yang dapat mengontrol dan memonitoring listrik untuk peralatan kelistrikan di rumah. Konsumsi listrik setiap alat listrik rumah tangga dapat dipantau dalam kilowatt-hour (KWH), sehingga pengguna dapat menggunakannya untuk menilai konsumsi listrik rutin peralatan listrik rumah tangga mereka.
Metode Fuzzy Subtractive Clustering Dalam Pengelompokkan Penggunaan Energi Listrik Rumah Tangga Nurul Ramadhanti Hikmiyah; Riki Ruli A. Siregar; Budi Prayitno; Dine Tiara Kusuma; Novi Gusti Pahiyanti
PETIR Vol 14 No 2 (2021): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/petir.v14i2.1448

Abstract

The use of electricity in household sector has increased, especially during the Covid-19 pandemic. The large number of activities carried out in home such as Work from Home, online schools, and online businesses caused difficulty to monitor the electricity consumption. The absence of electricity usage provisions affects the electricity monitoring process. Hence it takes a real time monitoring application of electricity consumption. Fuzzy subtractive clustering is an unsupervised method to form the number and center of clusters according to data conditions. This method serves to classify the household electricity users with the parameters used, is the amount of usage in rupiah and electric power. The grouping results from this method help users to monitoring electricity consumption in real time. The output describes the level of high, medium and low user electricity consumption. Based on the test results, the best Silhouette Coefficient value is 0.8322535 and three clusters are formed, with an accept ratio is 0.5, a reject ratio of 0.15, a radius of 1.7 and a squash factor of 0.5 hence a high level of use is obtained with an average value of the number of uses in IDR 655,993, power 2757 VA, medium level 240,553, 1071 VA and low level 46,479, 675 VA