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All Journal Semantik JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sosioteknologi Jurnas Nasional Teknologi dan Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal Komputer Terapan Seminar Nasional Teknologi Informasi Komunikasi dan Industri Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Pendidikan Proceeding Applied Business and Engineering Conference Proceeding International Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Jurnal INFOTEL Science, Technology, and Communication Journal
Yohana Dewi Lulu Widyasari
Politeknik Caltex Riau
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Journal : Proceeding Applied Business and Engineering Conference

 1 
Sistem Monitoring Pengadaan Bahan Baku Menggunakan Metode Extreme Programming Pada Ayam Geprek Family Fitrianti; Yohana Dewi Lulu Widyasari
ABEC Indonesia Vol. 10 (2022): 10th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Ayam Geprek Family is one of the fast-food businesses. This business was founded in 2019 and is in Tanah Putih Tanjung Melawan. Ayam Geprek Family uses a make-to-stock business strategy, i.e., production will still be carried out without an order. Inventory of raw materials is important and very influential in the smooth production process. The condition of the high production volume has not been supported by the calculation of the optimal use of raw materials, resulting in several impacts. The main impact of the excess is the high cost of storage. On the other hand, the capital allocation for other investments cannot be done optimally. As well as the reduced quality of raw materials that are stored for too long. Therefore, handling and control are needed that can assist in monitoring the procurement of raw materials. The development of this procurement monitoring system uses material requirements planning (MRP) and forecasting techniques. System development using extreme programming (XP) approach. This research produces a system that can display information on planning and ordering raw materials in schedules and notifications to make monitoring easier. The time for system development using extreme programming becomes more effective and efficient, which is approximately 3 months. In black box testing, the system can run 100% of all features. In white box testing, the results of the Cyclomatic Complexity calculation are 18 regions for the MRP program algorithm.
PRISMA-Guided Systematic Review on Machine Learning for University Student Dropout Prediction Elza, Sari Fauzia; Widyasari, Yohana Dewi Lulu
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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This systematic review examines the application of machine learning techniques to predict students dropout.The prisma 2020 guidelines were followed to ensure a comprehensive and transparent review process. As the behaviour ofstudents who drop out becomes increasingly complex due to factors such as academic performance, personal characteristicsand socio-economic conditions, machine learning offers promising solutions for the early identification of students at risk.This review summarises findings from peer-reviewed studies published between 2014 and 2024 and indexed in the scopusdatabase. The focus is on the performance, strengths and limitations of different machine learning models such as decisiontrees, support vector machines and neural networks. The selection of the 2014-2024 timeframe reflects the significantadvances in machine learning technologies, the improved quality and availability of educational data, and the evolvingresearch trends in education. This timeframe also coincides with changes in education policy and ensures that the studycaptures current and relevant findings. The report concludes with recommendations for future research, including theintegration of complex data characteristics and the development of universal models that can be adapted to different studentpopulations.
Co-Authors - Sugianto Abiyyu Taufiq Ramadhan Akbar, Memen Amelia Rahmadhani Anggy Trisnadoli Ardianto Wibowo Cakra Ramadhana Dadang Syarif Sihabudin Sahid Delfi Angela Delfi Angela, Delfi disha rahmatya Elza, Sari Fauzia Fitrianti Heni Rachmawati Indah Lestari Indah Lestari, Indah Juni Nurma Sari Juni Nurma Sari Kartina Diah K. W. Kasna, Sinria Khairul Umam Syaliman Lisa Chandra Muhammad mahrus zain Muluk, Imelda Mupti, Vanya Anjani mutia sari zulvi Najwa, Nina Fadilah Puja Hanifah Rahmatya, Disha Rangga, Adityapati Ridar Rusdi Rifando Panggabean Rika Perdana Sari, Rika Perdana Riska Amelia Rizkyana Rizkyana Satria Perdana Arifin Sinria Kasna Sri Yastita sugianto Syefrida Yulina Syefrida Yulina, Syefrida Wardhani, Kartina Diah Kusuma Wawan Yunanto Yuli Fitrisia