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All Journal Pengabdian Jurnal Abdimas Journal of Computer Science Advancements
Husni, Kholilah
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Garbage Bank as an Alternative Strategy for Waste Management in Bumi Asri Housing Wulandari, Sri; Ardita Pramesti, Delia; Husni, Kholilah; Ika, Fauziah; Rakhmadani, Ilma; Rafli Syahputra, Muhammad; Maulana, Angga; Junaedi Arisman, Rizqi; Ardiansyah, Dika
Pengabdian: Jurnal Abdimas Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v2i4.1865

Abstract

Background. The paradigm shift of society regarding waste needs to be done sustainably. Education of awareness and skills of citizens for waste management by implementing the principles of reduce, reuse and recycle (3R) is important in solving waste problems through waste management from the source.Purpose. The paradigm shift of society regarding waste needs to be done sustainably. Method. The method used by researchers in this study is the field research method with a descriptive approach where researchers go directly to the field and see phenomena and analyze and obtain a detailed and objective picture to obtain accurate data using the Participatory Action Research (ADR) method.Results. The results of this study explain that the waste bank teaches the community to sort waste, raises public awareness to process waste wisely in order to reduce waste transported to the landfill. Conclusion. Waste banks can make residents create and shape the character of residents to be better. This can be seen from the character of residents who have knowledge in managing the environment to make it beautiful.
STUDENT GRADUATION PREDICTION USING DECISION TREE ALGORITHM WITH CRISP-DM METHOD (CASE STUDY: ITB AHMAD DAHLAN) Husni, Kholilah; Sestri, Elliya; Terisia, Vany
Journal of Computer Science Advancements Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i5.2429

Abstract

On-time graduation is an important indicator of higher education effectiveness; however, delays in student graduation are still observed at ITB Ahmad Dahlan Jakarta. This study develops a student graduation prediction system using the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and the Decision Tree algorithm based on historical academic data. The model was built through six CRISP-DM stages, including problem understanding, data preparation, modeling, and evaluation. Testing results indicate high performance with an Accuracy of 97.44%, Precision of 97.14%, Recall of 100%, and F1-Score of 98.55%. This system has the potential to support strategic decision-making to enhance academic quality through data-driven approaches.
Co-Authors Angga Maulana Ardiansyah, Dika Ardita Pramesti, Delia Ika, Fauziah Junaedi Arisman, Rizqi Rafli Syahputra, Muhammad Rakhmadani, Ilma Sestri, Elliya Sri Wulandari Vany Terisia