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Water Depth Monitoring based on Affordable Modem to Prevent Flooding and Wildfires, Study Case in Teluk Seruo Lake, Indonesia Khairul Saleh; Rendy M. Wahid; Hadi; Iskhaq Iskandar; Adnan, Assaidah
Science and Technology Indonesia Vol. 10 No. 3 (2025): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.3.889-894

Abstract

A cutting-edge telemetry system for water depth monitoring is essential for achieving effective and reliable measurements through bidirectional communication. This system is designed to operate at any time requested by the user, enhancing the relevance of the collected data while promoting significant energy and memory savings. We propose implementing this innovative design at a Teluk Seruo Lake, featuring advanced flood and drought warning functions to proactively address the challenges of seasonal natural disasters. Using an Arduino board paired with an ultrasonic sensor and equipped with a Wi-Fi modem, users can seamlessly communicate with their smartphones to initiate measurements and access real-time water depth data via a dedicated website. Our laboratory tests confirm that timely alerts were successfully sent to users’ phones whenever water levels exceeded critical thresholds. Furthermore, during field tests, continuous monitoring of the lake’s water depth was efficiently conducted through the website, powered by 8400 mAh batteries that supported up to 75 data transmissions over a 12.5-hours period. This remarkable performance establishes a solid baseline for modem power consumption, underscoring the system’s effectiveness and reliability.
Trend of Rainfall Pattern in Palembang for 20 Years and Link to El-niño Southern Oscillation (ENSO) Ariska, Melly; Putriyani, Fena Siska; Akhsan, Hamdi; Supari, Supari; Irfan, Muhammad; Iskandar, Iskhaq
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 12 No 1 (2023): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v12i1.15525

Abstract

One factor that significantly affects rainfall in Indonesia, especially in Palembang City, is the El-Nino Southern Oscillation (ENSO). This study aims to determine how big the correlation is and when the highest correlation occurs between the Nino 3.4 Index and rainfall during the 2001-2020 period. The stages of analysis carried out to carry out this study are as follows: 1) downloading daily rainfall data for 20 years, 2) processing the raw data to make it homogeneous, and 3) correlation analysis to find out when the highest correlation occurs between rainfall and the Nino 3.4 Index. The results show that the highest correlation occurs in September at -0.524, August at -0.481, and October at -0.439. The influence of the Nino 3.4 Index produces a negative relationship. If the Nino 3.4 Index increases, it will affect the maximum temperature at the sea surface so that rainfall will decrease and cause drought. The results obtained can also be used as a prediction or forecast of the inflow of rainfall and the length of the rainy season.