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All Journal Journal of Information System Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal ULTIMATICS Journal of Information Systems and Informatics International Journal Of Science, Technology & Management (IJSTM) Jurnal Komunikasi, Sains dan Teknologi (JKST) Journal of Mutidisciplinary Issues The Indonesian Journal of Computer Science Journal of Applied Research In Computer Science and Information Systems IJISCS (International Journal of Information System and Computer Science)
Sutomo, Rudi
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Transportation Other

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Journal : The Indonesian Journal of Computer Science

 1 
Comparative Analysis Between Naïve Bayes Algorithm and Decision Tree Loss Rate from Fire Disaster Data in DKI Jakarta Province Cuatanto, Ricardo; Sutomo, Rudi
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3347

Abstract

In urban locations like DKI Jakarta Province, fire poses a severe concern. Understanding the trends and variables that affect fire risk requires analysis of fire incidence data. To assess fire data in the DKI Jakarta Province, the method uses the Decision Tree and Nave Bayes algorithms. The Decision Tree identifies the primary causes of fires, whereas Naive Bayes forecasts fire risk using weather and historical data. These two algorithms' combined outputs offer a thorough understanding of the features and causes of a fire. By educating authorities and the public on how to manage this risk, this research helps to improve fire mitigation techniques. The safety and readiness for fire disasters in this area should increase. The accuracy of the two predictions made by the Naive Bayes algorithm is 75%. In contrast, the accuracy of the Decision Tree algorithm is 78%, leading to the conclusion that the Decision Tree approach is more helpful in categorizing the severity of fire disaster losses.
Measurement of IT Governance Capabilities Using COBIT 2019 in the Indonesian Business Sector Cuatanto, Ricardo; Sutomo, Rudi
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3412

Abstract

The Indonesian business sector uses information technology to support private, business, and governmental decision-making. However, there are problems with IT implementation, such as a weak Business Continuity Plan, a lack of change testing procedures, and insufficient project review activities. Utilising the COBIT performance model based on COBIT 2019, this study seeks to evaluate the IT governance of the Indonesian business sector. The chosen domains are BAI05 (Managed Organizational Change), BAI06 (Managed IT Changes), and BAI07 (Managed IT Change Acceptance and Transitioning). According to the results, BAI05 scored level 2 (90.6%), BAI06 scored level 2 (80.3%), and BAI07 scored level 2 (87%) respectively. Level 3 (78%) is where BAI07 falls short and needs to be improved. Following a set timeline, recommendations will be implemented once they have been approved by SM Innovation & Digital Transformation and Manager Innovation & IT Project Management in the Indonesian Business Sector.
UTAPIS Indonesian Word Error Detection Application: Design and Development Sutomo, Rudi; Mediyawati, Niknik
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3754

Abstract

People misspell and incorrectly write Indonesian words without even recognizing it. Poor and incorrect language proficiency is a common cause of word spelling mistakes. Since PT Tribun Digital Online publishes between 600 and 700 articles a day, the U-Tapis website might be of great assistance to journalists in identifying grammatical problems. Three separate cities—Jakarta, Makassar, and Solo—have participated in the testing of the U-tapis website. @ Tribun Digital Online, PT. This department is in charge of using the Flask framework to create the U-tapis website design. This study develops software or applications that are comparatively brief, succinct, and quick using the RAD (Rapid Application Development) technique. In addition to system development methods. The implementation of this method uses the U-tapis Sentence Syntax Error Detection algorithm which functions to detect an algorithm comparing two pieces of data, calculated using a formula called the Jaccard Index to check spelling errors in words. UAT test results produce all the features according to the wishes of the company owner based on the problems faced.
Co-Authors Adi Nugroho, Wisnu Cuatanto, Ricardo Fadil Aulia, Hakan Syukur Glennardy, Bryan Gunawan, Michael Jardine Ivanda Putra, Ersan Kaisha Pratama, Daffa Kristian Mulia, Johan Kurniawan, Faisal Rizki Luis, - Mediyawati, Niknik Melvin, Melvin Muhammad Naufal, Muhammad Muhammad, Fakhry Nicholas, Nicholas Nusantara, Samiaji Bintang Overbeek, Marlinda Vasty Sanjaya, Samuel Ady Sudirgo, Victor Angkawijaya Wiratama, Jansen Zulfitriansyah, Fadillah