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Menampilkan 1–6 dari 6 artikel
Sistem Pengendalian Mutu Pengolahan Udang Beku Melalui Prinsip Hazard Analisis Critical Control Point (HACCP)
Salma Salma
; Budiman Budiman
; Ilyas Ilyas
Manfish: Jurnal Ilmiah Perikanan dan Peternakan
Vol 3
, No 2
(2025)
Shrimp is a food ingredient that has perishable characteristics, so it requires proper handling to maintain product quality and safety. This study aims to understand the application of the quality system in frozen shrimp processing based on the principle of Hazard Analysis Critical Control Point (HACCP) at PT Dachan Mustika Aurora Tarakan. The research was carried out during the period from July to December 2024 with a qualitative descriptive approach. The results of the study show that the froz...
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Optimizing Administrative Efficiency in Sewing Course Management : A Web-Based Application for Participant Registration and Attendance Monitoring at Bandung Vision Centre
Dani Rizky Zaelani
; Budiman Budiman
; R. Yadi Rakhman Alamsyah
International Journal of Information Engineering and Science
Vol 2
, No 3
(2025)
The rapid growth of the fashion industry in Indonesia, particularly in Bandung, has increased the demand for structured and efficient sewing course management. Bandung Vision Center, as one of the institutions providing sewing training, faces significant administrative challenges due to the continued use of manual registration and attendance monitoring systems. These conventional processes result in data inaccuracies, slow information retrieval, limited transparency, and difficulties in monitori...
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Optimizing IT Remote Workers Mental Health Prediction using Feature Engineering
Fikri Muhamad Fahmi
; Budiman Budiman
; Nur Alamsyah
International Journal of Science and Mathematics Education
Vol 2
, No 2
(2025)
Given the increasing prevalence of mental health challenges in digital work settings, especially among IT remote workers, early detection mechanisms have become critically important. This study aims to improve the prediction accuracy of mental health conditions among IT remote workers by integrating feature engineering techniques within machine learning models. Five algorithms consisting of Random Forest, Logistic Regression, K-Nearest Neighbors, Decision Tree, and Naive Bayes were evaluated. Th...
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Enhancing Data Management Efficiency in Higher Education: A Case Study on the Development of P2M Applications
Dirham Triyadi
; Rijwan Rijwan
; Budiman Budiman
; Nur Alamsyah
; Reni Nursyanti
; Elia Setiana
International Journal of Computer Technology and Science
Vol 2
, No 1
(2025)
Developing research and community service (P2M) applications is crucial in enhancing efficiency and accuracy in managing related data at higher education institutions. This research aims to design a web-based application that simplifies the data management process for research, community service, and associated activities at Universitas Informatika dan Bisnis Indonesia (UNIBI). The research engaged the Rapid Application Development (RAD) methodology to actively incorporate stakeholders throughou...
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Optimizing Heart Disease Prediction : A Comparative Study of Machine Learning Models Using Clinical Data
Budiman Budiman
; Nur Alamsyah
; Elia Setiana
; Valencia Claudia Jennifer Kaunang
; Syahira Putri Himmaniah
International Journal of Science and Mathematics Education
Vol 1
, No 4
(2024)
Cardiovascular disease is a leading cause of death globally, necessitating effective predictive systems. This research aims to analyze the effectiveness of various machine learning (ML) models—Logistic Regression (LR), Random Forest (RF), Naive Bayes (NB), Support Vector Classifier (SVC), and K-Nearest Neighbors (KNN)—in predicting heart disease using publicly available health data. The study involved pre-processing data, training models, and evaluating them using accuracy, precision, recall, F1...
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Representasi Gender Dalam Cerpen Sampan Zulaiha
Liza Handayani Batu Bara
; Budiman Budiman
Jurnal Bahasa, Sastra, Budaya, dan Pengajarannya
Vol 3
, No 1
(2024)
Gender representation is not only important in understanding characterization and dynamics of stories, but also in identifying narratives that govern and influence public perceptions of gender roles. The study aims to analyze gender representation in "Sampan Zulaiha" by analyzing the character of women faced with and responding to existing gender norms and efforts to resist gender injustice. This research is a qualitative study of library studies (library research) with methods of data collectio...
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