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All Journal Journal The Winners Jurnal Penelitian Pendidikan IPA (JPPIPA) Akuntoteknologi : Jurnal Ilmiah Akuntansi dan Teknologi Prosiding Seminar Nasional Program Pengabdian Masyarakat
Adrian Hidayat, Adrian
Sekolah Tinggi Ekonomi BUDDHI
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Economics, Econometrics & Finance Education Materials Science & Nanotechnology Medicine & Pharmacology Physics Social Sciences

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Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

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Kajian Ekologis untuk Mendukung Produktivitas Budidaya Udang Vaname di Desa Lawallu, Kabupaten Barru, Sulawesi Selatan Alfian; Widigdo, Bambang; Haryadi, Sigid; Kusuma, Almira Nadia; Utami, Ardhana Reswari; Hidayat, Adrian
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.8032

Abstract

Soppeng Riaja Subdistrict is one of the coastal areas that has long been utilized for shrimp farming. Since 2007, vannamei shrimp (Litopenaeus vannamei) has been the most widely cultivated species. The biggest challenge faced by shrimp farmers in production is disease outbreaks. Diseases in shrimp cause a decline in shrimp quality and even mortality, which ultimately leads to economic losses and impacts the sustainability of shrimp farming operations. This study aims to evaluate the ecological aspects, including water conditions and carrying capacity, based on its ability to accommodate waste from shrimp farming in Lawallu Village, Soppeng Riaja Subdistrict, Barru Regency, South Sulawesi. The research was conducted from August to October 2023 using a quantitative approach. The findings reveal that vannamei shrimp production in Lawallu Village has been declining annually. In 2023, productivity was recorded at 438 tons, significantly below the sustainable pond productivity benchmark of 1008.9 tons per year. Despite the low productivity, the total shrimp farming area in Lawallu Village has reached 88.66 hectares, exceeding its ideal carrying capacity, which is only 44.84 hectares. Water quality analysis showed that ammonia levels in the shrimp pond waters of Lawallu Village have exceeded the quality standards. The adoption of sustainable aquaculture technology, effective water quality management, and proper wastewater management are essential strategies for achieving sustainable productivity.
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.
Determining Tourism Area Using TOPSIS Analysis in the Dampier Strait Conservation Area Zulfikar, Anisa Kusumadewi Zulfikar; Yonvitner, Yonvitner; Kurniawan, Fery; Hidayat, Adrian
Jurnal Penelitian Pendidikan IPA Vol 10 No 10 (2024): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i10.8695

Abstract

The Dampier Strait regional conservation area is one of the conservation areas included in the Raja Ampat Regency marine conservation area, which has high potential for developing tourism activities. The most important aspect in the use of natural resources for tourism purposes is their suitability to support tourism activities. The challenge faced is the difficulty if the potential for beach tourism, snorkeling and diving to be developed simultaneously. The aim of this research is to determine areas for ecotourism and recommend appropriate locations. Data analysis is determining ecotourism areas using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). TOPSIS is used because it is able to rank the selected alternatives that are closest to the positive ideal and furthest from the negative ideal solution. The criteria used are tourist carrying capacity, accommodation, accessibility, number of international tourists, number of domestic tourists and suitability area. The results of this TOPSIS analysis are that Sauwandarek, Marandanweser and Arborek are areas that can be used as an alternative area for carrying out beach tourism, snorkeling and diving activities. Areas that can be developed into ecotourism activities are Yeben Kecil and Tanjung Putus.
Co-Authors Alfian Andy Andy Arfani, Ahmad N. Ario Damar Bambang W. Nugroho, Bambang W. Cahyo, Ali Mas'ud Dwi Fery Kurniawan Haryadi, Sigid JANNAH, FARIDATUL Kusuma, Almira Nadia Listen, Georgius Mutiara, Kania D. Nugroho, Ronan A. Oktaviani, Windi Pradhata, Yoga A. Susanto Wibowo, Susanto Sutandi, Sutandi Tri Angreni Utami, Ardhana Reswari Widiastuti, Renita Yana, Donny Yonvitner - Zhurifa, Alya Zulfikar, Anisa Kusumadewi Zulfikar