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Application of Decision Tree Algorithm Method to Analyze Traffic Accident Patterns Rusmin Saragih; Marto Sihombing; Anton Sihombing; Rivalri Kristianto Hondro
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp200-202

Abstract

Traffic accidents are complex problems that involve many variables such as weather conditions, vehicle type, location, and driver behavior. With the development of data processing technology, it is possible to analyze accident data in more depth to find significant hidden patterns. The Decision Tree algorithm is applied to predict the likelihood of an accident occurring and identify the factors that contribute most to the accident. The data used consists of accident records collected from various sources, including official reports and traffic statistics. The Decision Tree algorithm was chosen due to its ability to handle both categorical and numerical data, as well as the ease of interpretation of the analysis results. The results of this study show that factors such as vehicle speed, time of occurrence, and road conditions have a significant influence on the probability of an accident occurring. The results of news extraction are analyzed by creating decision rules to determine the pattern of accidents that occur. This decision rule is in the form of a decision tree with a dataset that uses data with the highest fatalities with the imputation feature mode by concept as a method of handling missing values and toll roads as attributes, resulting in an f1-score value of 60.00% and an accuracy value of 70.40%.
Implementation of Random Forest Algorithm for Classifying Land and Building Tax Arrears and Risk Factor Analysis Dashboard Risky Firmansyah Manik; A M H Pardede; Anton Sihombing
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2326

Abstract

This study aims to develop a predictive model to identify the potential for land and building tax arrears and analyze the dominant risk factors contributing to non-compliance. The research utilizes the Random Forest classification algorithm applied to historical tax data from the Regional Financial and Revenue Management Agency of Binjai City. The approach involves data preprocessing, feature engineering including target encoding for geographical areas, and model training with hyperparameter tuning to optimize classification performance. Furthermore, a web-based interactive dashboard is developed using the Flask framework to visualize the predictions and risk factors. The results demonstrate that the Random Forest model achieves a robust and consistent accuracy of approximately 85% in classifying compliant and non-compliant taxpayers. Feature importance analysis reveals that land area is the most dominant risk factor influencing tax arrears, significantly outweighing other variables. In conclusion, the integration of the Random Forest algorithm with an interactive dashboard provides a highly accurate, efficient, and scalable solution for local governments to transition from reactive tax collection to proactive, data-driven risk management.
Pengaruh Literasi Keuangan dan Akses Pembiayaan KUR Terhadap Kinerja UMKM di Kecamatan Sunggal, Deli Serdang Anton Sihombing; Agnes Olivia Hani Aurel
Jurnal Ilmu Manajemen METHONOMIX Vol 9 No 2 (2026): Jurnal Ilmu Manajemen METHONOMIX
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtx.Vol9No2.pp84-92

Abstract

The performance of micro, small, and medium enterprises (MSMEs) is strategically important for economic development, yet their macroeconomic contribution is not always accompanied by optimal firm-level performance. In Sunggal District, some MSMEs continue to experience stagnant revenue growth, limited customer expansion, and minimal business expansion. These problems are associated with weaknesses in financial management, business record-keeping, compliance with financing requirements, and the productive use of external funding. This condition suggests that access to financing alone may not translate into better business performance when it is not supported by adequate financial literacy. This study aims to examine the partial and simultaneous effects of financial literacy and People's Business Credit (KUR) financing access on MSME performance in Sunggal District, Deli Serdang Regency. A quantitative approach with an explanatory research design was employed. Primary data were collected through questionnaires from 93 MSME owners selected using purposive sampling and analyzed using multiple linear regression. The findings show that financial literacy has a positive and significant effect on MSME performance. KUR financing access also has a positive and significant effect on MSME performance. Simultaneously, both variables significantly contribute to MSME performance, with financial literacy demonstrating the more dominant contribution. The findings imply that improving MSME performance requires more than expanding access to capital; it also requires strengthening entrepreneurs' capacity to plan, allocate, and control financial resources so that external financing can be used productively and sustainably.
A Decision Support System To Determine The Location Of A New Sales Branch At Star East Shop With The Smart Method Ahmad Nawawi; Suci Ramadhani; Anton Sihombing
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 2 (2023): February 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i2.156

Abstract

In a business world that is always dynamic and full of competition, business people must always think of ways to continue to survive and if possible develop their business scale in order to meet these business needs, there are many ways that can be taken, one of which is by conducting data analysis. . Bintang Timur shop is one of the businesses in the field of iron and building material shops in the city of stabat. Bintang Timur shop was founded in 2013 which continues to grow at this time. Equipped with the desire to meet the needs of users in the field of iron and building, Bintang Timur store continues to grow by adding various products. The profits obtained in this shop are also used to develop the business, one of which is the addition of goods sold. Based on the analysis that has been done, there are several obstacles faced by this eastern star shop. One of them is the process of finding a new sales branch location at the Bintang Timur store. In this study, a Decision Support System (DSS) will be built using the Simple Multiple Attribute Rating Technique (SMART) method which is a multi-criteria decision making technique based on each alternative consisting of of a number of criteria that have a value and each criterion. Based on the calculation results of the SMART method above, Tebasan (A1) is a new branch location at the Bintang Timur Store in Stabat City which is feasible with a value of 0.763.
Co-Authors ., Novriyenni ACHMAD FAUZI Achmad Fauzi Adelia Ramadani Agnes Olivia Hani Aurel Agung Aulia Tama Ahmad Fauzi Ahmad Nawawi Ambarita, Indah Andriansyah, M Juli Angel, Kiki Annatasia, Kristina Arliana, Lina Astari, Rizki Yulidha Astrika, Rahayu Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Clara Rosa Wijaya Desty Dwi Putri Dewi, Sintia Dhea Agustina Akmal Dhea Alfiya Ningsih Dini Syahfitri Fauzi Ahmad Muda Fauzi, Achmad Fitri Handayani Fuji Dodo Aritonang Ginting, Budi Serasi Hana Niska Tafonao Hermansyah Sembiring Hotler Manurung husnul khair husnul khair husnul khair Ihsan Wibowo Zakti Indah Malasari Julia Br Sembiring Kadim, Lina Arliana Nur Khair, Husnul Kiki Angel Kiki Angel Lailatul Magfiroh M Agung Hidayat Marto Sihombing Marto Sihombing Melda Pita Uli Sitompul Mhd Ferdiansyah Putra Muammar Khadafi Natalia Sianturi, Ruth Naufal Falaah Nduru Novena Putri Antonia Sihombing Novriyenni Novriyenni Novriyenni, Novriyenni Novriyenni, Novriyenni Pardede, Akim Manaor Hara Pramana, I Gusti Rahmat Ramadhan Ramadani, Suci Ratih Puspadini Ratna Cantika Riski Ramadhansyah Risky Firmansyah Manik Risna Serviya risna serviya risna serviya risna serviya Rivalri Kristianto Hondro Rizki Yulidha Astari Rusmin Saragih, Rusmin Selfira, Selfira Serasi Ginting, Budi Serviya, Risna Shelly Maulia Sihombing, Marto Simanjuntak, Magdalena Simanjuntak, Magdalena Sirait, Suprianto Sri Defriani Br Sembiring Suci Rahmadani Suci Ramadhani Supri Anto Sirait Suprianto Sirait Syahputra, Siswan Syahputri, Heni Tasya Maysarah Br. Sembiring Tasya Maysarah Sembiring Triono, Arif Yani Maulita