KAJI TERAP SISTEM INFORMASI REAL TIME PARAMETER AIR BAKU AMDK (AIR MINUM DALAM KEMASAN) BERBASIS TEKNOLOGI LORA GATEWAY

  • Fitri Imansyah Jurusan Teknik Industri dan Elektro, Fakultas Teknik, Universitas Tanjungpura Pontianak
Keywords: LoRa Gateway, Bottled water, water quality

Abstract

Water contains physical, biological and chemical parameters. To determine water parameters, a sensor is needed which functions to convert physical, biological and chemical quantities into electrical quantities. This therapeutic study only tests the physical quantities contained in the water, such as pH levels, TDS, temperature and turbidity. Laboratory tests on water parameters using sensors are intended to obtain sensor characteristics and calibrate the sensors used with the aim that when the sensors are applied in the real environment, the conversion of physical quantities to electricity produced by the sensors will be close to the actual values. The amount of electricity produced by the sensor can be further managed for various purposes. Along with advances in technology in the field of telecommunications and information, water parameter data can be transmitted over long distances using transmitting devices to receiving devices. After the data reaches the recipient's device, the data can be displayed directly or forwarded to other devices using the internet network. The implementation of the long distance communication technology developed was tested at one of the companies/institutions in the field of bottled drinking water (AMDK) production, namely PT. Meteor Perkasa with the product brand "For3". The field testing process was witnessed directly by employees and management of AMDK PT. Meteror Perkasa, and the company are satisfied with the field test data which can be displayed on the Smartphone screen, so that monitoring anytime and anywhere can be realized.

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References

Andri, S., Saiful., Rochdyanto., & Sudira, p. (2002). “Model Matematis Salinitas Air Di Muara Suangai Untuk Pengairan Tambak Udang Windu (Studi Kasus Di Pantai Utara Kabupaten Karawang”, Jurnal Agritech, 23 (4), 200-204.

Delarta, T. A., Bhawiyuga, A., & Yahya, W. (2019). “Sistem Monitoring Parameter Fisik Air Kolam Ikan menggunakan Jaringan Sensor Nirkabel berbasis Protokol LoRa”, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 6(3), 5414-5420.

Eka, K. S., Harwahyu, R., Wirara, A., Sari, R. F. (2019). “Lora Characteristics Analysis for IoT Application Using NS3 Simulator”, IEEE Region 10 Humanitarian Technology Conference.

Fitri, I., Yacoub, R. R., Marpaung, J., Marcelina., & Kurnianto, R. (2023). Sistem Informasi Real Time Kadar Garam Air Baku PDAM Tirta Khatuliswa Pontianak Berbasis Teknologi LoraGatewa. [Laporan Penelitian Inovasi Untan].

Fitri, I., Yacoub, R. R., Marpaung, J., & Marcelina. (2022). Analisis Teknik Dan Ekonomi Sistem Informasi Real Time Parameter Air Baku PDAM Tirta Khatuliswa Pontianak Berbasis Teknologi Lora Gateway. Buku Referensi, Pustaka Rumah Aloy.

Fitri, I., Yacoub, R. R., Marpaung, J., Marcelina., & Hiendro, A. (2023). Studi Kelayakan Sistem Informasi Real Time Kadar Garam Air Baku PDAM Tirta Khatuliswa Pontianak Berbasis Teknologi Lora Gateway. Buku Monograf, Pustaka Rumah Aloy.

Fitri, I., Yacoub, R. R., Marpaung, J., Marcelina., Sandi, L., Kusumawardhani, E., Hiendro, A., & Abdi, V. (2022). Real Time Information System of Raw Water Salt Levels PDAM Tirta Khatulistiwa Pontianak Based on Lora Gateway Technology. Journal of Theoretical and Applied Information Technology (JATIT), 100(18), pp. 5147 -5158

Hardana., & Isputra, R. F. (2019). “Membuat Aplikasi IoT (Internet of Things)”. Yogyakarta (ID): Penerbit Lokomedia.

Jannus, M., Imansyah, F., Yacoub, R. R., & Marcelina. (2022). “Sistem Informasi Real Time Kadar Garam Air Baku PDAM Tirta Khatuliswa Pontianak Berbasis Teknologi LoraGateway”. Jurnal Sistem dan Teknologi Informasi (Justin), 10(2), 2224-233.

Juha-Peta¨ja¨ja¨rvi, Mikhaylov, K., Pettissalo, M., Janhunen, J & Inatti, J. (2017). “Performance of a low-power wide-area network based on LoRa technology: Doppler robustness, scalability, and Coverage”. International Journal of Distributed Sensor Networks, 13 (3).

Kefford. (1998). ”Is salinity the only water quality parameter affected when saline water isdisposed in rivers?. International Journal of Salt Lake Research, 7 (4), 285-200.

Kristoffer, O., & Finnsson, S. (2017). “Exploring LoRa and LoRaWAN”. Gothenburg. Department of Electrical Engineering Chalmers University of Technology.

Robin, F., & Liljegren, A. (2017). “Measuring a LoRa Network Performance, Possibilities and Limitations”. [Thesis no: MCS-20YY-NN]. Faculty of Computing at Blekinge Institute of Technology.

Satria, N. M. K., & Misbah, M. N. (2012). “Analisis Pengaruh Salinitas dan Suhu Air Laut Terhadap Laju Korosi Baja A36 pada Pengelasan SMAW”. Jurnal Teknik ITS, 1.

Titin, A. (2017). Analisis Kualitas Air Minum dalam Kemasan (AMDK) di Yogyakarta ditinjau dari Parameter Fisika dan Kimia Air. Jurnal Media Ilmu Kesehatan, 6(1). Yogyakarta.

Published
2024-01-31
How to Cite
Imansyah, F. (2024). KAJI TERAP SISTEM INFORMASI REAL TIME PARAMETER AIR BAKU AMDK (AIR MINUM DALAM KEMASAN) BERBASIS TEKNOLOGI LORA GATEWAY. Jurnal Abdi Insani, 11(1), 204-217. https://doi.org/10.29303/abdiinsani.v11i1.1343
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