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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Kajian Ilmu dan Teknologi (JKIT)
Cahyo, Ali Mas'ud Dwi
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Meningkatkan model deteksi estimasi distribusi musiman padatan tersuspensi total di perairan Selat Madura, Indonesia Cahyo, Ali Mas'ud Dwi; Damar, Ario; Kurniawan, Fery; Hidayat, Adrian
Jurnal Penelitian Pendidikan IPA Vol 10 No 11 (2024): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i11.8605

Abstract

High TSS causes siltation around coastal areas in the Madura Strait. TSS impacts water quality and habitat health. It's necessary to know that TSS distribution can vary each season. The algorithm detects TSS distribution by processing Landsat-8 satellite image data. However, existing algorithms are sometimes only suitable for some instances, so the results do not correspond to actual conditions. Therefore, this paper wants to build a better detection model using Laili's algorithm to determine whether satellite image analysis can explain the exact conditions. Laili's algorithm detection was validated and corrected against field data via a correlation test. It’s necessary to know the spatial distribution pattern of data attribute values using the Moran Index. The results TSS in the dry season is 5-18 mg/L and covers an area of up to 4 km; in the rainy season, it is 5-22 mg/L and can cover an area of up to 7.8 km. Moran's Index results show that spatial autocorrelation in the distribution pattern results in a cluster pattern. These results show that the detection model is relatively reasonable and can be used as training data to detect the distribution of TSS in the Madura Strait in subsequent years.
Analisis Kuantitas dan Kualitas Air Sumur Bor dan Air Sumur Gali Untuk Pemenuhan Sumberdaya Air Di Desa Battu Winangun Kecamatan Lubuk Raja Kabupaten Ogan Komering Ulu Meiwinda, Eka Rizki; Lucyana; Azwar; Cahyo, Ali Mas'ud Dwi
Jurnal Kajian Ilmu dan Teknologi (JKIT) Vol. 2 No. 1 (2025): Jurnal Kajian Ilmu dan Teknologi (JKIT)
Publisher : Rumah Jurnal PT Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/jkit.v2i1.221

Abstract

Water quantity refers to the amount of clean water needed to meet daily needs. Water quality generally indicates the quality or condition of water associated with a particular activity or need. The limited capabilities and knowledge of the surrounding community necessitate testing the quality and quantity of drilled and dug well water in Battu Winangun Village to provide information to the community regarding good water quality and information on whether or not the water source can be used for drinking water and for daily activities from a physical and chemical perspective. The research method used was observation and interviews to obtain primary and secondary data. The results obtained were that the availability of drilled and dug well water in each hamlet exceeded and was sufficient to meet daily water needs. The quality of drilled and dug well water according to the test results showed that drilled and dug well water, based on physical parameters, met standard requirements.
Co-Authors Adrian Hidayat, Adrian Ario Damar Azwar Eka Rizki Meiwinda Fery Kurniawan Lucyana