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All Journal Indonesian Journal of Forestry Research Jurnal Perempuan Forest and Society Jurnal Perempuan JURNAL AGRI-TEK Jurnal Agronomi Tanaman Tropika (JUATIKA) Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Daya Mas : Media Komunikasi dan Informasi Hasil Pengabdian dan Pemberdayaan Masyarakat Indonesian Journal of Forestry Research Biodiversitas Journal of Biological Diversity
Setiahadi, Rahmanta
UNIVERSITAS MERDEKA MADIUN
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Analysis of the factors contributing to the degradation of coral reefs and marine biota at Pasir Putih Beach, Prigi Bay, Trenggalek District, East Java, Indonesia RAHMANTA SETIAHADI; MARHENY LUKITASARI; NURUL KUSUMA DEWI; SUMANI SUMANI; CATUR RETNANINGDYAH; MUKHTASOR MUKHTASOR
Biodiversitas Journal of Biological Diversity Vol. 26 No. 3 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d260339

Abstract

Abstract. Setiahadi R, Lukitasari M, Dewi NK, Sumani, Retnaningdyah C, Mukhtasor. 2025. Analysis of the factors contributing to the degradation of coral reefs and marine biota at Pasir Putih Beach, Prigi Bay, Trenggalek District, East Java, Indonesia. Biodiversitas 26: 1384-1394. The deterioration of coral reefs and marine ecosystems poses a significant challenge that needs to be addressed to maintain sustainable marine ecotourism management. Both natural processes and human activities contribute to the decline of coral reef ecosystems. This study seeks to examine the factors causing damage to coral reefs and marine life along the Karanggongso Coast, East Java Province, Indonesia. The research utilized a survey method combined with a descriptive analytical approach. Coral reef surveys were conducted using the Line Intersept Transect (LIT) technique, while sedimentation and land cover changes were assessed using grab samplers, Google Earth maps, and Rupa Bumi Indonesia (RBI) maps. Beach physical condition observations provided material for descriptive analysis, and coral reef and sedimentation data were used to create indicative maps. The overlay of indicative maps and descriptive analysis results were employed in the spatial analysis of factors destroying coastal ecosystems. The study findings revealed the Physical Condition of the Waters, with indicators including temperature (28.7oC), salinity (35%), dissolved oxygen (13.2 Ppm), pH (7.73), and brightness (4.5m). While these conditions remain favorable, extensive sedimentation has reduced the Percentage of Coral Reef Cover to below 24.9%. Analysis of sedimentation from land use change indicates that significant areas of forest and shrubland have been converted to agricultural land, settlements, tourist facilities, and several shrimp ponds, leading to erosion and sedimentation. The size of the sediment grains in the water reflects the predominant sand content at each station, with values ranging from 99.19% to 99.63%.
Phytoplankton diversity as a health indicator of coastal ecosystems in Prigi Bay, Trenggalek District, East Java, Indonesia CATUR RETNANINGDYAH; LUCHMAN HAKIM; ENDANG ARISOESILANINGSIH; SUMANI SUMANI; RAHMANTA SETIAHADI; MUKHTASOR MUKHTASOR
Biodiversitas Journal of Biological Diversity Vol. 26 No. 5 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d260518

Abstract

Abstract. Retnaningdyah C, Hakim L, Arisoesilaningsih E, Sumani, Setiahadi R, Mukhtasor. 2025. Phytoplankton diversity as a health indicator of coastal ecosystems in Prigi Bay, Trenggalek District, East Java, Indonesia. Biodiversitas 26: 2198-2209. This study aims to evaluate the water quality of several coastal ecosystems in the Prigi Bay, Watulimo Sub-district, Trenggalek District, East Java, Indonesia, based on water physicochemical parameters and phytoplankton diversity as bioindicators. Water and plankton sampling were conducted in six coastal ecosystems (Beach of Pasir Putih, Karanggongso, Mutiara, Guo Boto, Prigi, and Karang Pegat). The water physicochemical parameters evaluated include DO, TSS, turbidity, salinity, pH, conductivity, BOD, nitrate, orthophosphate, H2S, and oil-grease. A total of 10 L of water was filtered with a plankton net. Then, the phytoplankton species were identified, and the abundance of each type was calculated. The data obtained were used to determine taxa richness, total density, evenness, dominance index, diversity index, Trophic Diatom Index (TDI), and Percentage Pollution Tolerant Value (%PTV). The study results showed that the physical-chemical quality of water in all research areas met the national and international quality standards concerning seawater quality standards for marine biota, except nitrate, orthophosphate, and oil-grease. A total of 40 species were found in the six coastal ecosystems in the Watulimo area. The abundance of phytoplankton from the Bacillariophyceae was always the highest in all locations, ranging from 67-78%. Phytoplankton diversity is relatively high (4.38-4.84). There is no species dominance or even distribution. The quality of water in coastal ecosystems in the Watulimo area, based on the TDI, is classified as eutrophic. Based on %PTV, there is no indication of organic material pollution except for the Prigi Beach ecosystem, which is included in the lightly polluted organic material category. High human activities around Prigi Beach have impacted the increasing turbidity and orthophosphate content, resulting in high levels of eutrophication and organic material pollution, as indicated by an increase in %PTV and TDI values.
Clustering Analysis for Green Economy and Citizens-Based Social Forestry Business Development Model Pradityo Utomo; Dwi Nor Amadi; Rahmanta Setiahadi
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.463

Abstract

This study aims to prove that clustering analysis can optimize the development model of social forestry businesses based on green economy and citizens. Clustering analysis can use machine learning methods. Some of these methods are K-Means and K-Medoids. First, the research data was obtained from the assessment results of forest edge residents. Residents assessed 13 green economy variables. The social forestry business development model based on green economy and citizens requires labeled data. Therefore, this study compares the performance of K-Means and K-Medoids to cluster the assessment data of forest edge residents. To determine its performance, this study uses three variations of k values, namely K = 4, K = 8, and K = 12. Performance testing uses the Davies Bouldin Index (DBI) method and computation time. Based on Davies Bouldin test, K-Means method is better than K-Medoids at K = 4, but K-Medoids method is better than K-Means at K = 8 and K = 12. Based on computation time test, K-Means method is better than K-Medoids. Based on this test, K-Means method is more suitable for big data and fast computing time.
Co-Authors CATUR RETNANINGDYAH CATUR RETNANINGDYAH Denies Priantinah Dian Pratiwi DJOKO SETYO MARTONO Djoko Setyo Martono ENDANG ARISOESILANINGSIH Fadilla Eka Rohcahyani JERIELS MATATULA Kusujiarti, Siti LUCHMAN HAKIM MARHENY LUKITASARI Martin Lukito MUKHTASOR MUKHTASOR MUKHTASOR MUKHTASOR Nor Amadi, Dwi NURUL KUSUMA DEWI Pandu Wirabuana Pandu Yudha Adi Putra Wirabuana Pradityo Utomo Rekyani Puspitawati, Indah Rofikhoh, Kusnul RONGGO SADONO Ronggo Sadono Safrudi, Hale Irfan Setyo Martono, Djoko SUMANI SUMANI SUMANI SUMANI Titiek Kartika Hendrastiti Titiek Kartika Hendrastiti, Titiek Kartika Yudha Adi Putra Wirabuana, Pandu