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All Journal Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Sistem Informasi Kaputama (JSIK) JATI (Jurnal Mahasiswa Teknik Informatika) JOINT (Journal of Information Technology MEANS (Media Informasi Analisa dan Sistem) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Informatika Terpadu Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Artificial Intelligence and Engineering Applications (JAIEA) AMMA : Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Manajemen SRODJA
Hayati, Umi
Unknown Affiliation
Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Social Sciences

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Analysis and Visualization of Sales Transaction Patterns using Decision Tree and Tableau Public Akbar, Miftahul; Rahaningsih, Nining; Ali, Irfan; Dikananda, Fatihanursari; Hayati, Umi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1849

Abstract

This study aims to analyze sales transaction patterns of rubber waste at PT Mandiri Enviro Technosio by integrating the Decision Tree algorithm with interactive visualization using Tableau Public. The dataset consists of 405 sales transactions recorded during the 2024–2025 period, comprising attributes such as transaction date, product type, quantity, unit price, total value, delivery region, and buyer category. The research methodology includes data acquisition, preprocessing to ensure data quality and consistency, construction of a classification model using the CART algorithm, evaluation of model performance through a confusion matrix, and development of interactive dashboards for enhanced interpretability. The Decision Tree model achieved an accuracy of 88.24% in classifying transaction values into low, medium, and high categories. Unit price and transaction period were identified as the most influential attributes in determining transaction value. Visualization using Tableau Public effectively presented the distribution of transaction values, sales trends, and geographical patterns, thereby strengthening analytical insights and supporting data-driven decision making. The integration of classification techniques and interactive visualization contributes to improving business intelligence capabilities and enables the formulation of more adaptive, evidence-based sales strategies.
Predicting Student Academic Performance Based on Learning Habits Using XGBoost and SHAP Latifah, Siti; Martanto; Dana, Raditya Danar; Dikananda, Fatihanursari; Hayati, Umi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1860

Abstract

This study developed a model for predicting student academic achievement based on learning habits using the XGBoost algorithm and SHAP interpretability techniques. The secondary dataset contains 1,000 entries and 16 variables (for example, hours of study per day, mental health, frequency of exercise, social media use, hours of sleep) pre-processed including cleaning, imputation, encoding, and normalization before being divided into train–test (80:20) and validated using 5-fold CV. Three models were tested: Linear Regression, Random Forest, and XGBoost. Evaluation using RMSE, MAE, and R² showed that XGBoost achieved RMSE = 0.335, MAE = 0.266, and R² = 0.882, while Linear Regression showed the best performance according to R² in certain configurations (R² = 0.888; RMSE = 0.326). SHAP analysis revealed that the most influential features were hours of study per day, mental health scores, exercise frequency, duration of social media use, and hours spent watching Netflix. The findings confirm that students' study habits and psychological conditions are the main determinants of academic achievement variation; the use of interpretable features strengthens the readability of the model for education stakeholders. Research recommendations include testing the model on longitudinal datasets, integrating socioeconomic factors, and implementing data privacy procedures before institutional-scale implementation.
Co-Authors Abdillah, Naufal Abdul Khalim, Kharits Ade Rizki Rinaldi Afandi, Fahmi Ahmad Fauzi Aji Dian Permana, Muhamad Aji Saputra, Mohammad Akbar, Miftahul Akbari, Muhammad Ali , Irfan Ali Yusri Alif Prayudha, Bimo Andi Ardiansyah Andre Setiawan, Andre Anggraeni, Anggi Asep Surahman Aulia, Linda Sari Ayu Febrian Lesmana, Alfira Azhar, Alwan Aziz Sahidin, Naufal Basysyar, Fadhil Muhammad Chrisna Basila Rahman, Muhammad Danar Dana, Raditya Deva Rian, Rananda Dewi, Aulia Citra Dikananda, Fatihanursari Dzulkarnaen, Rizal Faizal Rizqi, Muhammad Farhan Nugraha, Muhamad Fathur Rezki Junaedi, Muhammad Fathurrohman, Fathurrohman Faturany, Roni Fihir, Muhammad Firmansyach, Wildan Attariq Haekal Susanto, Ahmad Hamonangan, Ryan Herdiana, Ruli Heriyawan, Ikhsan Iin, Iin Iksan Maulana, Muhammad Ilham Syahputra, Arief Irfan Ali, Irfan Izzat Luthfi , Muhammad Kaslani Khoirul Insan, Moh Khoirul Kholilullah, Mohammad Kurnia, Dian Ade Kusmiyaty, Agesty Luthfi, Achmad M. Basysyar, Fadhil Ma'arif Syaefullah, Muhammad Manikari, Salsa Loni Martano, Martanto Martanto Martanto . Maulana Yusuf, Muhammad Moruk, Ewaldus Mu'min Azis, Muhammad Muhammad Haikal Mujibulloh, Mujibulloh Munawar, Adi Musyarofah Musyarofah, Musyarofah Nailil Amani, Najiyah Nanita, Nanita Nining Rahaningsih Nugraha, Syahrul Odi Nurdiawan Pratama, Hilda Fidyah Hadi Prihartono, Willy Purnama Sari, Ade Irma Putra, Arya Kamandanu Putri, Seni Meilani Raden Mohamad Herdian Bhakti Raditya Danar Dana Rai Fatkaozi, Ahmad Riskandi, Muhammad Rizki Amalia, Dita Rudi Kurniawan Saepudin, Agung Safrudin, Muhamad Saifurridho, Muhammad Samsudin, Risma'ruf Siti Latifah Subur, Muhamad Syafiq, Mohammad Sayyid Syam Al ghifari, Muhammad Syamsul Aripin Tati Suprapti Tohidi, Edi Tuti Hartati Wijaya, Yudhistira Yudhistira Arie Wijaya