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Sistem Monitoring Kualitas Air Pada PDAM Pangkalpinang Yang Terintergrasi dengan Website dan Smartphone Yusfagiansyah, Ardhani; Azizah, Salsabila; Sulistyo, Eko; Andriyanto, Riki
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 1 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i1.250

Abstract

Technology plays a vital role in various industries, including water quality management, as it simplifies complex processes and enhances service quality. However, PDAM Pangkalpinang still uses manual methods to measure water quality. These methods have many drawbacks, such as being time-consuming and prone to human error. Manual measurements also make it difficult for PDAM to quickly detect changes in water quality, increasing the risk of distributing water that does not meet standards. Therefore, improving the effectiveness of water quality monitoring is crucial to ensure a clean water supply that meets health standards. This research aims to develop an automated real-time water quality monitoring system using various sensors: a pH sensor (4502c) to detect acidity and taste levels, a temperature sensor (thermistor), a turbidity sensor (AB209), and a gas odor sensor (MQ-136) to detect specific gas odors. The system utilizes ESP32 and Arduino Nano microcontrollers as processing units, integrated with IoT technology for remote monitoring. Testing results show high accuracy, with average errors of 0.61% for pH, 0.56% for temperature, 1.89% for turbidity, and 0.80% for gas odor detection. The collected data is automatically sent to Firebase and displayed through a web interface and smartphone application, enabling real-time water quality monitoring.
Factors Affecting Financing at Panin Dubai Syariah Bank: 2014-2022 Azizah, Salsabila
Islamic Economics and finance in Focus Vol. 4 No. 1 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ieff.2025.04.01.01

Abstract

This article investigates the influence of the CAR, TPF, NPF, return on assets (ROA), and BI Rate on financing at Bank Panin Dubai Syariah. Internal quantitative data used in this study were obtained from quarterly financial reports in the period of 2014 - 2022, while external data were obtained from BPS reports. The analysis method used was the Error Correction Model (ECM). In the long run, TPF and ROA variables have a positive influence on financing in Panin Dubai Syariah, while NPF and BI Rate variables have a negative influence. CAR variable does not have a long-term influence on financing in Panin Dubai Syariah. In the short term, only the ROA variable has a positive influence on financing in Panin Dubai Syariah. These four variables do not have a short-term influence on financing in Panin Dubai Syariah. The results of the study indicate that the performance of Panin Dubai Syariah as an intermediary institution in channeling financing to the public is stable in the long run, but in the short term, the bank experiences instability in the development of financing.