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A development of an IoT-based temperature-TDS monitoring system for shrimp cultivation pond Akhyar, Halil; Budianto, Arif; Rahayu, Susi; Alaydrus, Alfina Taurida; Anggriani, Ni Ketut; Wardi, Palaivia Harman; Pranahita, Dewa Dwi; Andini, Mira
ORBITA: Jurnal Pendidikan dan Ilmu Fisika Vol 11, No 2 (2025): November
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/orbita.v11i2.36423

Abstract

High-quality water resources are important parameters for the sustainability of human civilization, the health of ecosystems, and the advancement of vital sectors. High-quality water is also needed for shrimp cultivation ponds. However, water-quality monitoring in the estuary is limited. In line with this, this study focuses on the design and implementation of an IoT-based TDS and temperature measurement system for estuarine water, aiming to develop an efficient, accurate, and automated prototype to support the fisheries sector in West Lombok regency. This study used a microcontroller, temperature and TDS (total dissolved solids) sensors, a wireless router, and a display. These elements were developed as a water-quality-level monitoring system based on TDS and temperature. The system was calibrated using a standard comparator before being examined under real conditions. The calibration procedure was conducted inside a controlled chamber at a water temperature of 25°C for 60 minutes, with a steady flow rate. All procedures were repeated three times and tested using a Student’s t-test. The IoT platform was tested using RSSI values with a 2s update interval. The calibration data were interpreted as a linear function between the standard and the developed system. The resulting design shows that the developed system can be installed at a shrimp cultivation pond with good performance. The designed system has a linearity of more than 90%. The system has a reliable accuracy level over 30 consecutive measurement days, resulting in the percentages of 85% to 93% (average = 91%). It can be concluded that IoT data communication via a wireless internet router performs well, with RSSI> -50 dBm for both sending and receiving. The IoT platform using ThingSpeak shows good performance (good stability), with a 2-second interval between data updates.
PENINGKATAN KESIAPSIAGAAN BENCANA EMISI UDARA PADA KELOMPOK MAJLIS TA’LIM BAITURRAHMAN PESONA BANYU ASRI MELALUI IMPLEMENTASI MANAJEMEN UDARA BERBASIS IOT Budianto, Arif; Alaydrus, Alfina Taurida; Akhyar, Halil; Rahayu, Susi; Hasanah, Khofizzatul; Nurfadilah, Nurfadilah; Andini, Mira; Pranahita, Dewa Dwi; Wardi, Palaivia Harman
Jurnal Abdi Insani Vol 12 No 10 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i10.3034

Abstract

Air emissions are a critical issue that can directly impact public health. The larger the emission source, the greater the potential for exposure to the resulting emissions. This problem is also faced by residents (partners) in the Pesona Banyu Asri neighborhood, Banyumulek, West Lombok Regency. Air pollution generated from many directions (four main sources) in the partner area (waste management at the Kebon Kongok landfill, plastic waste processing at BRIDA, waste processing into biofuel, and the pottery production process in the Banyumulek tourist village) is quite high, but the process of quantifying and characterizing emissions has not been implemented/studied in detail. Therefore, the purpose of this community service is to provide alternative solutions that can improve community preparedness regarding air emission disaster mitigation. The implementation method of community service activities is focused on PAR (participatory action research) techniques to improve social aspects of the community. The priority is to identify problems and provide alternative solutions related to the impact of air emission exposure due to emission source activities around the partner area. The IoT (Internet of Things)-based air management system developed by the community service team was previously implemented directly in the community, through stages of observation, socialization, training, installation, and final assessment. The results of the community service process can be seen from the questionnaire data quantification process, where there was a significant increase between before and after the community service activity. The readiness of the partner community increased by 62% regarding the ability to understand air mitigation, both in terms of understanding the types of air emissions, air purification systems, and the operation of the IoT-based air management system that is beneficial for partners.
Gender-Specific Determinants of High Cholesterol: A Cross-Sectional Study Among Health Institution Employees in Makassar, Indonesia Hartono, Rudy; Rusli, Rusli; Fajriah, Siti Nurul; Andini, Mira; Amir, Aswita; Askar, M
Media Kesehatan Politeknik Kesehatan Makassar Vol 20 No 2 (2025): Media Kesehatan
Publisher : Direktorat Politeknik Kesehatan Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32382/medkes.v20i2.1949

Abstract

High cholesterol or dyslipidemia is one of the main risk factors for cardiovascular disease (CVD), including coronary heart disease, stroke, and peripheral artery disease. The World Health Organization (WHO) estimates that more than 39% of adults worldwide have total cholesterol levels above safe limits, with more than 4.4 million deaths each year directly related to increased LDL cholesterol levels and decreased HDL. Global trends show a significant increase in the prevalence of dyslipidemia in low- and middle-income countries, particularly in Southeast Asia, driven by changes in diet, urbanization, and decreased physical activity. At the national level, Basic Health Research (Riskesdas) and the Indonesian Nutrition Status Study (SSGI) report show that the prevalence of high cholesterol in Indonesia has continued to increase over the past decade. This study analyzed factors affecting high cholesterol using logistic regression in groups of women and men. The variables tested included blood pressure, body weight, and fasting blood sugar. Using data from 276 employees of a public health polytechnic in Makassar (January–June 2025), separate logistic regression models for women and men revealed that blood pressure was a significant predictor in both groups (ORwomen = 6.48, ORmen = 7.04), while fasting blood sugar was significant only in women (OR = 5.26). The results show that blood pressure is a significant predictor in both groups, while fasting blood sugar is significant only in women. The model explained 50.7% of variance in women versus 39.0% in men. The prediction model shows higher accuracy in women. These findings have important implications for gender-based dyslipidemia prevention efforts.