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All Journal Journal of Practical Computer Science (JPCS) Jurnal Informatika Teknologi dan Sains (Jinteks)
Ahmad Zulfikri
STMIK Tegal
Computer Science & IT Control & Systems Engineering Engineering

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Tinjauan Pustaka Sistematis: Penerapan Metode Naives Bayes untuk Klasifikasi dalam Dataset Cuaca Ahmad Zulfikri; Gunawan; Wresti Andriani
Journal of Practical Computer Science Vol. 2 No. 2 (2022): November 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v2i2.2101

Abstract

This study aims to determine the application of the naive bays method for classification in Weather datasets using the systematic literature review method. Weather forecasting research is an interesting object to study because weather is one of the things that influences everyday life so good accuracy in weather forecasts is very much needed. This study uses the systematic literature review method, which is a process of identifying, assessing, and interpreting facts and evidence from available research with the aim of finding answers to a particular research question. Climate change and weather are problems faced by almost the whole world which classify and predict. The problem is that there are many influencing variables, so it is quite difficult and unpredictable. Climate and weather change is human-caused global warming which makes it more difficult to solve weather problems. The results of this study can be used to measure the level of accuracy and MSE of the weather. the dataset serves as a metric for determining precipitation groups and it is concluded that the system can make predictions with an accuracy probability of up to 92% on new data. for the precision class to get a result of 100% where the system can predict the suitability of the class that is relevant to the results of the selected class.
PENENTUAN PENAMPUNGAN KORBAN BANJIR BERBASIS SISTEM INFORMASI GEOGRAFIS Ahmad Zulfikri; Nugroho Adhi Santoso; Rifki Dwi Kurniawan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 2 (2023): EDISI 16
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i2.2514

Abstract

Floods are an annual problem that occurs in several areas in Indonesia. Evacuation of flood victims is very necessary in order to minimize the number of victims who fall, therefore it is necessary to carry out flood victims' shelters. The purpose of this study is to determine the shelter for flood victims based on geographic information systems. The method used in this study refers to qualitative research with literature studies. The results obtained include determining two stages, namely analyzing the determination of the flood zone (analyzing the terrain map, Landsat imagery, rainfall data, and making river buffer maps) and analyzing the data (spatial and attribute analysis). The conclusion that can be drawn from this research is that placing flood victims shelters by utilizing Geographic Information Systems can be done with database development and data analysis, starting with analysis of flood zone determinants, and data analysis. The data becomes a reference to determine an effective direction on the flood disaster path in a certain area.
Co-Authors Gunawan Nugroho Adhi Santoso Rifki Dwi Kurniawan Wresti Andriani