FERY KURNIAWAN
Department Of Aquatic Resources Management, Faculty Of Fisheries And Marine Science, IPB University, Bogor, West Java, 16680. Indonesia; Center For Coastal And Marine Resources Studies, IPB University, Bogor, West Java, 16680. Indonesia

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Determining Tourism Area Using TOPSIS Analysis in the Dampier Strait Conservation Area Anisa Kusumadewi Zulfikar Zulfikar; Yonvitner Yonvitner; Fery Kurniawan; Adrian Hidayat
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.
Meningkatkan model deteksi estimasi distribusi musiman padatan tersuspensi total di perairan Selat Madura, Indonesia Ali Mas'ud Dwi Cahyo; Ario Damar; Fery Kurniawan; Adrian Hidayat
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.