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Perancangan WebGIS sebagai Daya Tarik Destinasi Wisata Bahari di Raja Ampat Fitriyani, Sakila Divia; Vinsa Qatrunnada; Dini Dwi Andini; M. Fahri; Lestari, Della Ayu; Silaban, Joy Elisabeth; Ramadhani, Tirta Samudera
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 1 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No1.pp146-151

Indonesia, with 17,540 islands spread from Sabang to Merauke, is known as a maritime country with extensive natural potential, especially in marine tourism. One of the famous marine tourism potentials is Raja Ampat or known as "last paradise on earth." The marine tourism management process still needs to be improved. This research aims to design WebGIS, using GIS technology and other software, to help increase information about marine tourism destinations in Raja Ampat. The research method applied uses the waterfall model, which includes analysis, design, and system implementation. This research resulted in designing a WebGIS system that makes it easier for users to find information about marine tourism destinations in Raja Ampat. WebGIS is an innovative solution to overcome this challenge, so that tourists can find out about tourist infrastructure in Raja Ampat easily and quickly. It is hoped that this will improve the tourist experience and support the management of marine tourismto be more effective, especially in Raja Ampat.

Model Prediksi Umur Kepiting Berdasarkan Data Morfometrik dan Gender: Pendekatan Model Support Vector Regression Ramadhani, Tirta Samudera; Mudaim, Syarifah; Sabitta, Valin Rizkia; Maulidia, Raisa
Jurnal Ilmu Komputer Vol 16 No 2 (2023): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2023.v16.i02.p07

Crab is one of the most important marine commodities and resources in Indonesian waters, both economically and ecologically. Crab age determination can provide a better understanding of crab growth and development, so that crab farming can be carried out effectively, efficiently, and profitably for its supporters. In addition, determining the age of the crab can also help the sustainability of the crab population. This study was conducted using support vector regression (SVR) modeling to predict crab age by establishing a predictive relationship between the dependent variable (x) and the independent variable (y). The attributes of the dependent variable (x) include length, diameter, height, and weight. While the independent variable (y) only includes crab age. SVR modeling is carried out to show predicted data with actual data, where the results of the SVR modeling will be evaluated based on the results of the RMSE value test. This study resulted in an RMSE value of 0.019814 so it can be said that the model to predict crab age is very accurate. The purpose of this research is to develop a statistical model that can predict crab age based on morphometric data and crab gender using the Support Vector Regression (SVR) model approach.

Perancangan WebGIS sebagai Daya Tarik Destinasi Wisata Bahari di Raja Ampat Fitriyani, Sakila Divia; Vinsa Qatrunnada; Dini Dwi Andini; M. Fahri; Lestari, Della Ayu; Silaban, Joy Elisabeth; Ramadhani, Tirta Samudera
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 1 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No1.pp146-151

Indonesia, with 17,540 islands spread from Sabang to Merauke, is known as a maritime country with extensive natural potential, especially in marine tourism. One of the famous marine tourism potentials is Raja Ampat or known as "last paradise on earth." The marine tourism management process still needs to be improved. This research aims to design WebGIS, using GIS technology and other software, to help increase information about marine tourism destinations in Raja Ampat. The research method applied uses the waterfall model, which includes analysis, design, and system implementation. This research resulted in designing a WebGIS system that makes it easier for users to find information about marine tourism destinations in Raja Ampat. WebGIS is an innovative solution to overcome this challenge, so that tourists can find out about tourist infrastructure in Raja Ampat easily and quickly. It is hoped that this will improve the tourist experience and support the management of marine tourismto be more effective, especially in Raja Ampat.

PENDUGAAN SUHU DAN PH BUDIDAYA IKAN AIR TAWAR MENGGUNAKAN SUPPORT VECTOR REGRESSION (SVR) Fadillah, Irsyad; Ramadhani, Tirta Samudera; Tiftazani, Ziyan Akmal
Jurnal Khatulistiwa Informatika Vol 11, No 2 (2023): Periode Desember 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jki.v11i2.16177

Budidaya ikan air tawar merupakan komoditas yang cukup populer dan memiliki beberapa faktor yang memegang peranan penting dalam meningkatkan produksi budidaya ikan salah satunya kualitas air beserta massa yakni suhu dan pH. Penelitian yang dilakukan dengan tujuan untuk memberikan gambaran pendugaan habitat ikan Nila (Oreochromis niloticus), ikan Patin (Pangasius sp), dan ikan Mas (Cyprinus carpio) berdasarkan pengaruh suhu dan pH. Penggunaan algoritma Support Vector Regression (SVR) untuk melakukan pendugaan hubungan antara dua variabel berupa kualitas air terhadap habitat ikan air tawar secara sistematis. Hasil pengolahan data yang didapatkan dengan nilai suhu 17,62°C-30.00°C dan derajat keasaman (pH) 6,42 - 8,79 menunjukan nilai MSE (Mean Squared Error) 0.19947674654194855, hal ini menunjukan bahwa hasil prediksi yang dilakukan termasuk ke dalam kategori cukup baik.

Spatial Distribution of Macrozoobenthos in Relation toOceanographic Parameters in the Marine Waters Surrounding TundaIsland Ramadhani, Novia; Silaban, Joy Elisabeth; Ramadhani, Tirta Samudera; Minsaris, Ode Alam; Dipura, Raflian Khansa; Silaban, Samuel; Fauzia, Syifa; Puspita, Lingga Diva; Anra, Nur'aini Dwi; Squire, Keelan
Jurnal Penelitian Geografi Vol 13 No 2 (2025): Jurnal Penelitian Geografi (JPG)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpg.v13.i2.33565

This study explores the spatial distribution of macrozoobenthos in relation to oceanographic parameters in the waters surrounding Pulau Tunda, Banten. A combination of remote sensing data namely sea surface temperature (SST), salinity, chlorophyll-a concentration, and bathymetry was utilized alongside direct field sampling at three designated stations. Oceanographic data were extracted from Landsat 8 imagery and GEBCO bathymetric sources, processed using ArcGIS Pro and Global Mapper. The Shannon-Wiener and Simpson indices were applied to assess biodiversity and species dominance. Results reveal that areas exhibiting SST between 28–31°C, moderate salinity levels (31–32 ppt), and high chlorophyll-a concentrations tend to support moderately diverse and stable benthic communities, predominantly composed of gastropods. The findings highlight the utility of remote sensing for habitat prediction and emphasize the ecological potential of Pulau Tunda's coastal waters.

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