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All Journal Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Informatika Dan Tekonologi Komputer
Tri Putra Satriawan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Other

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Analisa Komparasi Algoritma Naïve Bayes, Decision Tree Dan KKN Untuk Klasifikasi Kebakaran Hutan Pada Wilayah Aljazair Muhammad Fadhiil Alamsyah; Tri Putra Satriawan; Femmy Novica Ramadanis; Rahma Anugrah Mulyawan; Candra Edmond; Ricky Firmansyah
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i2.425

Abstract

The Mediterranean region, in particular Algeria, is experiencing serious challenges due to the increased opportunities for forest fires. Since the mid-1970s, there has been a 50% reduction in rainfall over northwestern Algeria, making northern Algeria particularly vulnerable to the problem for many years. More than 37,000 hectares of sensitive forest are lost every year due to this extreme drought. The findings of this study, which assessed the hazard of forest fires from 2006 to 2019, agree with those of Bentchakal,Chibane (2022), who examined the problems caused by forest fires in the region. The aim of this investigation is to gain a better understanding of the problems caused by local forest fires and to use that expertise to provide insight for the authors and readers of this report. The report was written by presenting the findings of observations made using the Rapid Miner classification approach, which includes the categorization of areas affected by forest fires. Data is collected using a variety of algorithmic techniques, including Naive Bayes, KNN, and decision trees, which are used as tests of data to identify the most accurate results. The findings show that the Decision Tree technique has the best accuracy of 86.49% and provides a thorough explanation of the data.
PERANCANGAN WEBSITE MARKETPLACE BERBASIS PHP DENGAN FRAMEWORK CODEIGNITER Femmy Novica Ramadanis; Mohamad Daffa Adriansyah; Muhammad Fadhil Alamsyah; Rizkia Meinita; Tri Putra Satriawan; Ricky Firmansyah
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 2 (2022): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i2.289

Abstract

The development of marketplace-based online trading facilities has been widely circulated in Indonesia. However, there are no services to provide marketplace-based jobs. Even though this service is really needed by the community, especially with the increasing number of unemployed in Indonesia. These employment services are website-based so that people don't have to go to each company, just stay at home and attach several files as support to get a job. With this application, information on job vacancies in an area can be disseminated on this system. This freelance marketplace distribution system was built using the waterfall method with four stages of applicable methods, namely requirements analysis, system design, implementation, and system testing using the PHP and Condigniter 3 programming languages. , ordering, talent details, logout.. On the other hand, the advantages of looking for a job online are that apart from being flexible, it can also open up new and broad opportunities. And it can reach various aspects of society.
Co-Authors Candra Edmond Femmy Novica Ramadanis Mohamad Daffa Adriansyah Muhammad Fadhiil Alamsyah Muhammad Fadhil Alamsyah Rahma Anugrah Mulyawan Ricky Firmansyah Rizkia Meinita