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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Indonesian Physical Review
Sapulete, Sisca M.
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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Journal : Indonesian Physical Review

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LABORATORY MODEL LANDSLIDE MONITORING SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY Manuhutu, Fredrik; Souisa, Matheus; Sapulete, Sisca M.
Indonesian Physical Review Vol. 8 No. 2 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i2.479

Abstract

A landslide disaster is one of the natural disasters that has a detrimental impact on society. This impact can be avoided if the community knows the signs of landslides and gets a warning that a landslide will occur. Therefore, this study aims to design an laboratory landslide warning monitoring system based on Internet of Things (IoT) technology. Landslide monitoring using a tilt sensor connected to a web communication network. Before data testing, IoT sensor calibration was carried out. The calibration results showed a coefficient of determination (R2 = 0.9967), so that this sensor system can be used as a smart sensor in monitoring landslides. In the data acquisition process, the IoT system sends data in real time which is received by the computer via the internet network. The web communication network displays the results in the form of a 2D profile in real time, namely a graph of the slope angle against time. To confirm the web monitoring data, a computer programming language is used to display a 3D profile of the slip plane. The study results show that IoT technology can monitor landslides and the presence of artificial rain in real time with a reading of the soil displacement sensor of 32.4°. At this angle, a landslide occurs until it deposits under the foot of the slope, with a landslide mass deposition rate of 0.0012 m3/s. The designed IoT system is portable and permanent and can monitor landslides. This system can be developed more widely in areas prone to landslides for smart communities and can be used as a disaster prevention and mitigation movement in arranging spatial planning based on disaster mitigation. This research can advance our understanding of landslide monitoring dynamics using web-based IoT systems, providing important insights for mitigation strategies and future research.
DISTRIBUTION ANALYSIS OF CLEAN WATER QUALITY USING HYDROPHYSICAL DATA IN MARSELA VILLAGE, MASELA ISLAND DISTRICT, SOUTHWEST MALUKU REGENCY, MALUKU PROVINCE Souisa, Matheus; Sapulete, Sisca M.; Waimalaka, Raras F.
Indonesian Physical Review Vol. 6 No. 3 (2023)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v6i3.254

Abstract

In situ measurements of hydrophysical parameters have been carried out in groundwater in dug wells, drilled wells, and reservoirs related to temperature, electrical conductivity, degree of acidity, salinity, and total dissolved solids (TDS). This study aims to analyze the characteristics of hydrophysical parameters in water samples and create a water quality distribution model based on hydrophysical data in the study area. The results showed that water zoning based on air temperature and water temperature is included in the mesothermal zone category, and this zone water may originate from free/leaking aquifers. The results of hydrophysical parameter measurements were TDS with a concentration value of < 1000 mg/L, conductivity parameter (s) with a concentration value of s < 2500 mS/cm, a pH parameter ranging from 7, and a salinity parameter with a concentration value < 1000 ppm which is allowed according to water quality standards which are found in dug wells (old wells, SGM-3), drilled wells (SBM) and pond (Em). While the hydrophysical parameters for measuring other groundwater samples are not in accordance with water quality standards. Modeling the distribution of water quality based on three hydrophysical parameters (TDS, s, and S) in the study area shows a shallow groundwater pattern and seawater intrusion has occurred in several wells (SGM-1, SGM-2, and SGM-4). The distribution of TDS, s, and S concentration values at study sites varies with distance from the coastline and topography.
MINERAL PHYSICS ANALYSIS OF ALLUVIAL ROCKS AS A SOURCE OF SHALLOW HYDROCARBON SEEPAGE IN BELIS VILLAGE, WARU BASIN, EASTERN SERAM ISLAND, MALUKU PROVINCE Sapulete, Sisca M.; Nukuhaly, Manda S.; Souisa, Matheus
Indonesian Physical Review Vol. 7 No. 3 (2024)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v7i3.337

Abstract

Belis Village is located in the Waru basin adjacent to the Bula basin on the eastern part of Seram Island and has potential shallow hydrocarbon manifestations. This research aims to determine the mineralogical characteristics of the rocks that make up shallow hydrocarbon manifestations at the research location. The research method used is physical analysis of minerals including petrographic analysis and XRD methods. The analysis results of the XRD method show an abundance of quartz minerals at 58%, followed by clay minerals at 35%, opaque minerals at 25%, and the rest in the form of cavities while feldspar minerals are secondary minerals. The results of the XRD analysis show that the more dominant mineral is protoenstatite (MgSio3) with an average abundance of 70.33% as a carrier of shallow hydrocarbon seeps, Quartz (SiO2) with an average abundance of 18.46%, and Clinoestatite with an average abundance of 11.21% as a mineral associated with shallow hydrocarbon seeps.
Co-Authors Fredrik Manuhutu, Fredrik Jubaedah, Sitti Matheus Souisa Nukuhaly, Manda S. Souisa, Sean O. Waimalaka, Raras F.