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All Journal Jurnal Kawistara : Jurnal Ilmiah Sosial dan Humaniora Jurnal Segara Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Kawistara
Tyas Ismi Trialfhianty
Department Of Fisheries, Universitas Gadjah Mada
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences

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ECONOMIC VALUATION OF MANGROVE RESOURCE IN BAROS COAST TIRTOHARGO VILLAGE SUB-DISTRICT OF KRETEK Tyas Ismi Tria lfhianty Suadi Djumanto
Jurnal Kawistara Vol 4, No 2 (2014)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.511 KB) | DOI: 10.22146/kawistara.5668

Abstract

The community project to plan mangrove in downstream of Opak-OyaRiver has attracted the growingof various socio-economic activities. The objective of the research is to calculate the total economicvalues of mangrove ecosystem. The study was conducted in BarosBantul Regency on September toOctober 2013. The numbers of 41 farmers, 10 fishers, 9 cattlemans and 34 tourists were interviewed tofind out the economic values of mangrove ecosystem. The study indicated the total economic benefits ofmangrove area was IDR168.744.141,67/ha/year, which consist of IDR19.756.491,67/ha/year for directbenefits, IDR132.017.160,00/ha/year for indirect benefits, IDR170.490,00/ha/year for optional benefitsand IDR16.800.000,00/ha/year for existence benefits. The indirect economic benefit of mangrove areawas higher. It shows that ecological functions of mangrove played a greater benefits and the action toconserve and expand the mangrove area are extremely needed. The sustainability of the mangrove andmanagement based on ecology might remain as appropriate way to do in the futur
CORAL REEF RESISTANCE AND RESILIENCE: A CONSERVATION GENETIC PERSPECTIVE IN SUPPORTING CORAL REEF CONSERVATION PROJECT Tyas Ismi Trialfhianty
Jurnal Pelita Teknologi Vol 13 No 2 (2018): Maret 2018
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.672 KB) | DOI: 10.37366/pelitatekno.v13i2.217

Abstract

A coral reef ecosystem is home to thousands of marine species and is utilised for feeding, reproduction and as a nursery ground. Coral reefs are areas of high biodiversity, and typically fish diversity and density are positively correlated with a living coral cover. Hence any threat to the coral ecosystem is also likely to have an impact on a high number of other species and may alter an environmental landscape. For instance, the decline of the coral population may reduce fish’s abundance and increase shoreline erosion. Contributions to the decline of coral reefs ecosystem from physical, chemical and biological sources such as increasing water temperatures (due to climate change), pollution, human disturbance and coral diseases. Therefore, it is important to understand factors which are related to the resistance and resilience of coral reef ecosystem. This review aims to broaden our understanding of coral reef resistance and resilience in the Indo-Pacific region by taking a genetic perspective. There are four primary aspects that are essential for coral resistance and resilience which will be reviewed here; the ability to respond to disturbance, the ability to adapt to the changing climate, the connectivity between coral populations (linked to larval dispersal), and the application of genetics to support coral reef conservation and management project. This paper is important to support our understanding of coral’s adaptability and resistance in facing disturbances such as climate change. Furthermore, it may benefit future conservation projects, as it explains genetic attributes that need to be considered for conservation and management projects such as local genetic diversity. Keywords: coral reef, conservation, genetic and population
The Use of Remote Sensing and GIS Technology in Supporting Ecoregion Management Tyas Ismi Trialfhianty; Fajrun Wahidil Muharram; Aldian Giovanno
Jurnal Segara Vol 13, No 2 (2017): Agustus
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1318.81 KB) | DOI: 10.15578/segara.v13i2.6447

Abstract

Coastal areas provide great benefits for human lives. In many isolated islands, coastal ecosystem provides food and building materials extracted from coastal vegetation e.g. mangroves. Therefore, it is essential to ensure the sustainability of the coastal ecosystem. This study provides data and a map in supporting the coastal ecoregion management, by using remote sensing satellite imagery, GIS technology, and field observation. Remote sensing and GIS data were obtained from Google Earth and analysed by ArcGIS. The combination of both laboratory and field work were carried out to provide a broad picture of the coastal area in Jefman Island, Raja Ampat, West Papua. The result of this study showed various habitats and vegetation in the Jefman seabed area. It also demonstrates that the abundance and diversity of coral reef and reef fishes are the major community constructing the island, amounting 22% coral cover with 12 families and diversity index 1.20 – 2.52 for reef fish with fish density about 231 ind/50 m2. Furthermore, other communities such as seagrass, seaweed, and mangrove are also briefly explained, as they also play a greater role in supporting the whole coastal ecological system. Based on map data analysis, we found a particular area that urgently needs to be protected. Remote sensing and GIS technology were found useful to help the manager to design coastal management strategies in the future.   
ECONOMIC VALUATION OF MANGROVE RESOURCE IN BAROS COAST TIRTOHARGO VILLAGE SUB-DISTRICT OF KRETEK Tyas Ismi Tria lfhianty Suadi Djumanto
Jurnal Kawistara Vol 4, No 2 (2014)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/kawistara.5668

Abstract

The community project to plan mangrove in downstream of Opak-OyaRiver has attracted the growingof various socio-economic activities. The objective of the research is to calculate the total economicvalues of mangrove ecosystem. The study was conducted in BarosBantul Regency on September toOctober 2013. The numbers of 41 farmers, 10 fishers, 9 cattlemans and 34 tourists were interviewed tofind out the economic values of mangrove ecosystem. The study indicated the total economic benefits ofmangrove area was IDR168.744.141,67/ha/year, which consist of IDR19.756.491,67/ha/year for directbenefits, IDR132.017.160,00/ha/year for indirect benefits, IDR170.490,00/ha/year for optional benefitsand IDR16.800.000,00/ha/year for existence benefits. The indirect economic benefit of mangrove areawas higher. It shows that ecological functions of mangrove played a greater benefits and the action toconserve and expand the mangrove area are extremely needed. The sustainability of the mangrove andmanagement based on ecology might remain as appropriate way to do in the futur
Prediksi Sentiment Analysis Dalam Membahas Produk Di E-Commerce Dengan Algoritma Naive Bayes Kurniasih, Nabila; Sunge, Aswan Supriyadi; Amali, Amali; Priyo, Basuki Edi; Trialfhianty, Tyas Ismi
Jurnal SIGMA Vol 15 No 3 (2024): Desember 2024
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v15i3.6043

Abstract

Analisis sentimen merupakan proses mengubah data kualitatif menjadi data kuantitatif dengan menghilangkan kata dan simbol yang tidak relevan, guna mengidentifikasi opini positif dan negatif dalam ulasan pengguna. Penelitian ini bertujuan untuk mengklasifikasikan sentimen pada ulasan pengguna aplikasi Shopee menggunakan metode Naive Bayes. Data diperoleh dari dataset sekunder melalui GitHub dan diolah menggunakan algoritma Term Frequency-Inverse Document Frequency (TF-IDF) untuk ekstraksi fitur. Evaluasi model dilakukan menggunakan confusion matrix untuk mengukur akurasi, presisi, recall, dan F1-Score. Hasil penelitian menunjukkan bahwa mayoritas ulasan bersentimen positif, dengan akurasi model sebesar 84%, presisi negatif 89% dan positif 81%, recall negatif 76% dan positif 91%, serta F1-Score negatif 82% dan positif 85%, sehingga membuktikan bahwa metode Naive Bayes efektif dalam klasifikasi sentimen ulasan e-commerce.
Co-Authors Aldian Giovanno Amali, Amali Aswan Supriyadi Sunge Fajrun Wahidil Muharram Kurniasih, Nabila Priyo, Basuki Edi