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All Journal Jurnal Dedikasi WIDYA TEKNIKA DINAMIKA DOTCOM TEKNOLOGI INFORMASI Journal of Information Technology and Computer Science (JOINTECS) Jurnal Technopreneur (JTech) Jurnal Masyarakat Merdeka (JMM) Jurnal Teknika Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Scientica: Jurnal Ilmiah Sains dan Teknologi Prosiding SeNTIK STI&K JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Dinny Wahyu Widarti
Program Studi Teknologi Informasi, STMIK PPKIA Pradnya Paramita Malang
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Analysis of Online Transportation Customer Satisfaction Using C4.5 Algorithm Irawan, Ryan Avrilio; Marpaung, Fhadillah Ain; Saputra, Idris Ivan; Widarti, Dinny Wahyu; Fairuzabadi, Ahmad
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 1 (2025): February
Publisher : Lumina Infinity Academy Foundation

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Abstract

In the era of increasing business competition, transportation companies are required to enhance the efficiency and effectiveness of their services. One method that can be employed to optimize fleet management is through Data Mining analysis. This study focuses on optimizing Ojek online transportation services using the C.4.5 Algorithm method. The aim of this research is to group customers and areas based on service demand patterns, thus improving fleet distribution and reducing waiting times. The data used in this study includes location, demand, and trip frequency information. The analysis results show that the C.4.5 algorithm method effectively groups the data, providing optimal fleet distribution and enhancing service performance. This research demonstrates that applying data mining through the C.4.5 algorithm method can be an effective strategy for improving management and operational efficiency in Ojek online transportation services, offering competitive advantages in service efficiency and customer satisfaction.
Determining Potential Players For The Indonesian Senior National Team In The 2026 World Cup Qualifications Using K-Means Risnanto, Slamet; Alfian, Fikri; Faiz, Moh Imam; Nizar, Moh.; Widarti, Dinny Wahyu
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 3 (2024): October
Publisher : Lumina Infinity Academy Foundation

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Football is a very popular sport, and the Indonesian National Team is the pride of the Indonesian people. In an effort to improve team performance, especially in facing the 2026 World Cup qualifiers, optimal player selection is a major challenge. This study applies data mining technology to determine potential players who can strengthen the Indonesian Senior National Team. Player data is taken from the Transfermarkt site which includes attributes such as player market value, club, and league. The methods used include data collection, data cleaning and normalization, and analysis using the K-Means clustering algorithm. The analysis process successfully grouped players into four clusters based on their potential. Players in clusters 1 and 3 have high potential to fill the main lineup, while players in cluster 0 show long-term development prospects. Visualization and manual evaluation support the interpretation of the results for strategic decision making. This study shows that the use of data mining can improve efficiency and accuracy in player selection, providing a more objective data-based approach. However, this study has limitations, such as the lack of consideration of non-technical factors. With the addition of data from other sources and the use of additional algorithms, this method can be further developed to support the performance of the Indonesian National Team optimally in the future.
Co-Authors Affandi, Luqman Agis Arizal Fahri, Agis Arizal Ahmad Fairuzabadi Alfian, Fikri Deny Kristianto Pamuji Dian Wahyuningsih Dwi Safiroh Utsalina Efendi, Feri Endah Setyowati Erwan Pujianto Fahmy Umar, Fahmy Faiz, Moh Imam Fitri Marisa Helga Ayuddya kiswara, Helga Ayuddya Heri Purnomo Indah Dwi Mumpuni Irawan, Ryan Avrilio I’roful Bariyah Jayanti, Ratna Dwi Linda Suvi Rahmawati Luqman Affandi Mahmud Yunus Marpaung, Fhadillah Ain Mohamad Sofiudin Muhammad Noor Mukhammad Farid, Mukhammad Nasrul Firdaus Nizar, Moh. Samsul Arifin Samsul Arifin Sanches Cota, Cesar Saputra, Idris Ivan Sigit Setyowibowo Slamet Risnanto Solly Aryza Sri Esti Trisno Sami Tubagus Mohammad Akhriza Vernando, Hera Weda Adistianaya Dewa Widjianto Widjianto, Widjianto