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All Journal Jurnal Mantik
Henoch Juli Christanto
Atma Jaya Catholic University of Indonesia, Indonesia

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Analysis and design of SIDATA as database management for the final project using Rapid Application Development Henoch Juli Christanto
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4520

Abstract

This study aims to analyze and design SIDATA, a database management system tailored for final project data, utilizing the Rapid Application Development (RAD) methodology. The primary objective is to enhance the efficiency and responsiveness of SIDATA in managing, storing, and retrieving final project-related information within an academic setting. The research employs a systematic approach that involves an initial analysis of user requirements and a comprehensive understanding of the final project data attributes. The RAD methodology is then applied, focusing on iterative development, quick prototyping, and continuous user feedback to tailor SIDATA to the specific needs of its users. The methodology allows for swift adjustments and refinements throughout the development process. Implementing RAD in the analysis and design of SIDATA has led to a more user-centric and adaptive database management system. SIDATA now efficiently captures, organizes, and presents final project data, streamlining the process for students, faculty, and administrators. The iterative nature of RAD facilitated the rapid development of features and ensured that SIDATA remained aligned with the evolving requirements of the academic environment. In conclusion, applying RAD in the analysis and design of SIDATA has proven to be instrumental in creating a responsive, user-friendly database management system. The iterative and collaborative nature of RAD has enhanced the adaptability of SIDATA to the dynamic needs of its users, providing an efficient platform for managing final project data within an academic context
User interface and user experience design for the TB.berkat rezeki website Stephen Aprius Sutresno; Henoch Juli Christanto; Yerik Afrianto Singgalen; Elfin Saputra; Biafra Daffa Farabi; Bernardus Alvin Rig; Radyan Rahmananta; Octa Hutapea
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4526

Abstract

In the era of continuous technological advancement, the presence of a website becomes crucial, especially for businesses aiming to harness digital potential. This research aims to address the issue of the lack of digital presence and e-commerce sites for TB. Berkat Rezeki, a building equipment store in Bekasi, West Java. By adopting the Design Thinking method, this study focuses on the development of a website with a UI/UX layout that supports an intuitive and satisfying online shopping experience. Survey results indicate that 64% of the Indonesian population are internet users, signaling a vast digital market potential. Applying the principles of Design Thinking, particularly in the Empathize, Define, Ideate, Prototype, and Testing stages, this e-commerce system is designed to create a clear layout, attractive design, and a responsive user experience. Evaluation using the System Usability Scale (SUS) shows an average score of 72, categorized as "good," indicating the readiness of the website for further use. In conclusion, effective and user-oriented UI/UX design involves thorough planning, iterative testing, and readiness for continuous improvement to align with user developments, design trends, and current technology.
Modification of random forest method to predict student graduation data Christine Dewi; Gerald Edgard Laukon; Stephen Aprius Sutresno; Henoch Juli Christanto
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4528

Abstract

The graduation rate of students is an important measure of a school’s success, as it indicates the school’s ability to help students complete their education. Predicting student completion is crucial for schools to identify at-risk students and offer them early interventions to improve their academic performance. This can also assist policymakers in developing effective policies and programs to enhance graduation rates and reduce dropout rates. The dataset used in this study was obtained from the Kaggle website, and the best model proposed utilizes the Random Forest method with hyperparameter tuning. By adjusting the n_estimator parameter to 1000, our proposed method decreases the mean squared error (MSE) value from 0.5525155 to 0.5374983 and increases the R2 Score value from 0.9984039 to 0.9984873. The study also compares the performance of the proposed model with other datasets sourced from the University of California Irvine (UCI), demonstrating superior performance across all experiments. The results consistently show a decreasing trend in MSE value and an increasing trend in R2 value for all datasets