Lighting Level Measuring Device Based On Web Using Kalman Filter Method

Dika Rahayu Widiana, Tabah Uji Antoro, Khoirul Hasin

Abstract


The need for lighting in each room depends on the activities carried out. According to the Indonesian National Standards (SNI) 03-6575-2001, the minimum recommended lighting strength for lecture hails is 200 lux to 250 lux and for laboratories is 300 lux to 500 lux. In measuring the level of lighting in a room, a tool called a lux meter is needed. But as is known light sensor is a sensor that quite sensitive. In this research the writer uses the Kalman Filter method to increase the accuracy and precision of the BH1750 lighting level sensor. In addition, this tool is also integrated with a website to make it easier for users to monitor measurement results both stored and in real-time. Tool testing is done by measuring 28 different locations. The test scheme is adjusted to the standard operating procedure for measuring light intensity which refers to SNI 16-7062-2019. From the test results for measurements using the Kalman Filter method, the stability level is 78.57%, the precision level is 1.46% and the accuracy error value is 0.92%. While the test results for measurements without the Kalman Filter method obtained a stability level of 53.57%, a precision level of 2.80% and an accuracy error value of 2.77%.


Keywords


Lighting; Lux Meter; BH1750; Kalman Filter; Web

Full Text:

PDF

References


Abiyasa, A. P., Sugarayasa, I. W., Sukadana, I. W. & Sutama, I. W., 2017. Datalogger Portabel Online Untuk Remote Monitoring Menggunakan Arduino Mikrokontroler. Gorontalo, Universitas Negeri Gorontalo.

Amalia, D. R., 2020. Peningkatan Akurasi Penentuan Lokasi Pada Aplikasi Android Menggunakan Assisted Gps (A-Gps) Dan Kalman Filter. Yogyakarta: Universitas Gadjah Mada.

Ananda, R. & Handoko, W., 2020. Penggunaan Rangkaian Booster Converter Dan Ic-Tp4056 Untuk Lampu Jalan Murah. Jurteksi (Jurnal Teknologi dan Sistem Informasi) , Volume VII, pp. 9-14.

Arikunto, S., 2006. Prosedur Penelitian: Suatu Pendekatan Praktik. Jakarta: Rineka Cipta.

Ar-Rasyiid, A., Dharmawan, W. & Kurnianto, A., 2016. Peningkatan Akurasi Estimasi Jarak Rssi Dengan Model Log Normal Menggunakan Metode Kalman Filter Pada Bluetoooth Low Energy. Jakarta, Fakultas Teknik Universitas Muhammadiyah Jakarta, p. 78.

Baihaqi, M. & Wijaya, W., 2021. Penerapan Filter Kalman untuk Meningkatkan Akurasi dan Presisi Sensor Suhu LM35. KONSTELASI: Konvergensi Teknologi dan Sistem Informasi.

Boga, A. A., 2016. Rancang Bangun Alat Pendeteksi Denyut Nadi Dengan Penyampaian Data Menggunakan Sms Gateway Berbasis Mikrokontroler. Palembang: Politeknik Negeri Sriwijaya.

Burhanuddin, A. & Wibowo, F. M., 2018. Penerapan Kalman Filter Pada Metode Trilaterasi Untuk Peningkatan Akurasi Estimasi Perhitungan JARAK DI DALAM RUANGAN. Jurnal Ilmiah Betrik, Volume 09.

Fitria, I. & Hasanah, P., 2017. Penerapan Algoritma Kalman Filter dalam Prediksi Kecepatan Angin di Kota Balikpapan. SPECTA Journal of Technology, Volume 1.

Lee, V., 2021. Perancangan Sistem Pemantauan Pencahayaan Berbasis Website Pada Ruang B518 Universitas Multimedia Nusantara. Tangerang: Universitas Multimedia Nusantara.

Moseya, I. H., Tellenga, R. C. & Southa, V. A., 2018. Rancang bangun alat pendeteksi intensitas cahaya berbasis Sensor Light Dependent Resistance (LDR). JURNAL MIPA UNSRAT ONLINE, Volume 7, pp. 47-51.

Rizal, R., 2018. Mitos dan Eksplanasi Ilmiah Lembayung Senja. Jurnal Filsafat Indonesia, 30 November.Volume 1.

Rokhaniyah, 2019. Alat Praktikum Fisika Untuk Menentukan Panjang Gelombang Dan Frekuensi Spektrum Matahari. Orbith, Volume 15, pp. 47-55.

Shishir, K. & Kodali, R., 2016. Low-Cost Ambient Monitoring using ESP8266. Warangal, National Institute of Technology Warangal.




DOI: https://doi.org/10.24853/jasat.5.2.43-50

Refbacks

  • There are currently no refbacks.


Copyright of Journal of Applied Sciences and Advanced Technology (JASAT)

 

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Journal Statistic

Powered by Puskom-UMJ