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All Journal Indonesian Journal of Intelligence Data Science (IJIDS)
Marline Sofiana Paendong
Sam Ratulangi University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science Mathematics

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Pemetaan Ekosistem Mangrove Menggunakan Unsupervised Learning dengan Data Remote Sensing Yesica Simangunsong; Winsy Christo Deilan Weku; Marline Sofiana Paendong
Indonesian Journal of Intelligence Data Science Vol 3 No 1 (2024): Volume 3 No 1 2024
Publisher : Faculty of Mathematics and Natural Sciences Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/ijids.v3i1.50153

Abstract

The Mangrove Ecosystem is one of the coastal ecosystems that experiences a lot of threats from various activities. The latest land use and land cover information is very necessary in regional development planning and environmental monitoring. One way to obtain this information is through remote sensing satellite image data processing. Therefore, this research aims to identify changes in mangrove forests using Machine Learning algorithms, namely K-Means and Random Forest, as well as determine the ability of the K-Means and Random Forest algorithms in identifying these land changes. The results of land cover changes in the mangrove ecosystem of Palaes Village in 2013 and 2021 based on Unsupervised Learning using the K-Means and Random Forest algorithms were clustered into 4 and 5 land cover classes based on different color classes, namely mangrove, sea water, other plants, raised sand and soil . Selection of the number of clusters is very important to get accurate results. The cluster results show that the clustering of the Palaes Village mangrove ecosystem looks more accurate on the 5 cluster K-Means map.
Sistem Informasi Sentralisasi Keuangan Mingguan (Studi Kasus : GMIM Anugerah Koka, Kecamatan Tombulu) Adelin Nelsyia Pieter; Marline Sofiana Paendong; Stephano Caesar Wenston Ngangi
Indonesian Journal of Intelligence Data Science Vol 2 No 2 (2023): Volume 2 No. 2 2023
Publisher : Faculty of Mathematics and Natural Sciences Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/ijids.v2i2.51281

Abstract

The procedure applied to the management of weekly financial data at GMIM Anugerah Koka, Tombulu District begins with the inclusion of financial funds from the congregation, BIPRA, Column, BIPRA coloumn, Elderly to the Treasurer of the Congregation and also the management of financial data at GMIM Anugerah Koka is still done manually and when calculating data finance still uses a calculator tool. With the development of technology so that a website-base weekly centralized financial information system can be carried out. The purpose of building this website-based weekly financial centralization information system is to make it easier for the Congregational Treasurer to manage weekly finances. The system was built and developed using the waterfall method starting from analysis, design, coding or implematation, testing, operation and maintenance. This weekly financial centralization website has two entities, namely the Treasurer as a manager who can login, input, edit, delete, view, print weekly financial data while MPJ can process weekly login, view, and print financial data.
Co-Authors Adelin Nelsyia Pieter Stephano Caesar Wenston Ngangi Winsy Christo Deilan Weku Yesica Simangunsong