Analisis Kapasitas Short Message Service (SMS) dan Probability Packet Loss pada Sistem Peringatan Dini Nirkabel di Tangki Fluida

Published: Feb 16, 2023

Abstract:

Purpose: In this research a wireless early warning system is designed and examines how to overcome communication errors or delays in information received by operators by analyzing traffic and Blocking Probability SMS (Short Massege Service) in wireless early warning systems on fluid tanks.

Methodology: System testing uses the FC 37 sensor as a fluid sensor (which includes electrolytes or can conduct electric current).

Results: This early warning system works well and works at a droplet volume of ± 0.5 ml. Based on the calculation of SMS Blocking Probability based on the increasing number of SMS subscribers, the Blocking Probability also increases. For the number of SMS 8448 subscribers the Blocking Probability SMS is 0.0093% and for the number of SMS 11520 subscribers the Blocking Probability SMS is 0.1719%. The Probability of Packet Loss is influenced by the Probability of BER. Probability BER calculation using the modulation used, namely 16-QAM (with a code rate of ½ and ¾) and 64-QAM (with a code rate of 2/3 and ¾) is influenced by the distance of the UE to the BTS. This distance has an effect because the BER Probability calculation uses the Walfish-Ikegami propagation model to calculate Pathloss. At a distance of UE and BTS 0.2 km Probability Packet Loss using 16-QAM ½ 2.55 x 10-14 modulation, 16-QAM ¾ 1.14 x 10-14 modulation, 64-QAM 2/3 3.05 x 10 modulation -9, and 64-QAM ¾ 2.94 x 10-9. The 16-QAM Packet Loss value is smaller than the 64-QAM because the bit values used are different, 16-QAM uses 4 bits while 64-QAM uses 6 bits.

Keywords:
1. Early Warning System
2. Blocking Probability SMS
3. Probability Packet Loss
4. Probability BER
Authors:
1 . Melvi Melvi
2 . Ardian Ulvan
3 . Aris Aditama
4 . Mona Arif Muda Batubara
How to Cite
Melvi, M., Ulvan, A., Aditama, A., & Batubara, M. A. M. (2023). Analisis Kapasitas Short Message Service (SMS) dan Probability Packet Loss pada Sistem Peringatan Dini Nirkabel di Tangki Fluida . Jurnal Teknologi Riset Terapan, 1(1), 37–50. https://doi.org/10.35912/jatra.v1i1.1789

Downloads

Download data is not yet available.
Issue & Section
References

    Agarwal, N., Wadia, L. C., & Apte, V. (2013). Capacity Analysis Of The GSM Short Massega Service. Indian Institute of Technoly Bombay India.

    Andi, K., Kusumanto, R., & Yusi, S. (2022). IoT Monitoring for PV System Optimization in Hospital Environment Application. Studies in Informatics, Technology and Systems, 1(1), 1-8.

    Artanto, D. (2012). Interaksi Arduino dan Labview. Elex Media Komputido. Jakarta.

    Ashari, M. F., Rofikhoh, U., & Widodo, S. (2012). Monitoring Volume BBM Solar Dalam Tangki Pendam Melalui SMS Dengan Menggunakan Sensor Ultrasonik Sebagai Pendeteksi. Politeknik Negeri Semarang. Semarang.

    Chandra, b. (2010). Perancangan Alat Pengukuran Level Air Melalui SMS Berbasis Mikrokontroler ATMEGA 16. Universitas Sumatra Utara. Medan.

    Feri, M. (2007). Analisa Antrian Untuk SMSC (Short Message Service Centre) pada GSM PT. Telkomsel. Universitas Sumatra Utara. Medan.

    Ginting, E. I., & Brahmana, K. (2013). Sistem Pengontrolan Tangki Air Menggunakan Sensor Magnetik Via Gelombang Radio. Universitas Sumatera Utara. Medan.

    Lestari, D. P., Purnomowati, E. B., & Asmungi, G. (2013). Performasi Internet Protocol Television (IPTV) pada Jaringan Long Term Evolution (LTE) dengan Mode Time Division Duplex (TDD). Universitas Brawijaya. Malang.

    Melvi, M., Ulvan, A., Sidiq, M. R., & Batubara, M. A. M. (2023). Rancang Bangun Sistem Monitoring Ketinggian Muka Air Laut Menggunakan Arduino Pro Mini dan NodeMCU ESP8266 . Jurnal Teknologi Riset Terapan, 1(1), 25–35. https://doi.org/10.35912/jatra.v1i1.1794.

    Seedstudio. (2013). GPRS Sheild V2.0. Seedstudio. China.

    Setiawan, E., Nurhatisyah, N., & Nanra, S. (2022). Pengontrolan Bahaya Kebakaran Berbasis IOT pada Ruang Server SMFR Balai Monitor Spektrum Frekuensi Radio Kelas II Batam. Jurnal Ilmu Siber dan Teknologi Digital, 1(1), 41-51.

  1. Agarwal, N., Wadia, L. C., & Apte, V. (2013). Capacity Analysis Of The GSM Short Massega Service. Indian Institute of Technoly Bombay India.
  2. Andi, K., Kusumanto, R., & Yusi, S. (2022). IoT Monitoring for PV System Optimization in Hospital Environment Application. Studies in Informatics, Technology and Systems, 1(1), 1-8.
  3. Artanto, D. (2012). Interaksi Arduino dan Labview. Elex Media Komputido. Jakarta.
  4. Ashari, M. F., Rofikhoh, U., & Widodo, S. (2012). Monitoring Volume BBM Solar Dalam Tangki Pendam Melalui SMS Dengan Menggunakan Sensor Ultrasonik Sebagai Pendeteksi. Politeknik Negeri Semarang. Semarang.
  5. Chandra, b. (2010). Perancangan Alat Pengukuran Level Air Melalui SMS Berbasis Mikrokontroler ATMEGA 16. Universitas Sumatra Utara. Medan.
  6. Feri, M. (2007). Analisa Antrian Untuk SMSC (Short Message Service Centre) pada GSM PT. Telkomsel. Universitas Sumatra Utara. Medan.
  7. Ginting, E. I., & Brahmana, K. (2013). Sistem Pengontrolan Tangki Air Menggunakan Sensor Magnetik Via Gelombang Radio. Universitas Sumatera Utara. Medan.
  8. Lestari, D. P., Purnomowati, E. B., & Asmungi, G. (2013). Performasi Internet Protocol Television (IPTV) pada Jaringan Long Term Evolution (LTE) dengan Mode Time Division Duplex (TDD). Universitas Brawijaya. Malang.
  9. Melvi, M., Ulvan, A., Sidiq, M. R., & Batubara, M. A. M. (2023). Rancang Bangun Sistem Monitoring Ketinggian Muka Air Laut Menggunakan Arduino Pro Mini dan NodeMCU ESP8266 . Jurnal Teknologi Riset Terapan, 1(1), 25–35. https://doi.org/10.35912/jatra.v1i1.1794.
  10. Seedstudio. (2013). GPRS Sheild V2.0. Seedstudio. China.
  11. Setiawan, E., Nurhatisyah, N., & Nanra, S. (2022). Pengontrolan Bahaya Kebakaran Berbasis IOT pada Ruang Server SMFR Balai Monitor Spektrum Frekuensi Radio Kelas II Batam. Jurnal Ilmu Siber dan Teknologi Digital, 1(1), 41-51.