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INDONESIA
Jurnal Informatika dan Rekayasa Perangkat Lunak
Published by Universitas Teknokrat Indonesia
ISSN : 27973492     EISSN : 27972011     DOI : https://doi.org/10.33365/jatika
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering
Jurnal Informatika dan Rekayasa Perangkat Lunak (JATIKA), an Indonesian national journal, publishes high quality research papers in the broad field of Informatics and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, algorithms and computation, and social impact of information and telecommunication technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 24 Documents
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Decision Support System Based on RECA and COPRAS Methods in Performance Evaluation of Non-Permanent Employees Asistyasari, Ayuni; Chandra, Iryanto; Hadad, Sitna Hajar; Nuryaman, Yosep; Wang, Junhai
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.848

Abstract

The evaluation of the performance of non-permanent employees is a significant challenge for organizations due to the high turnover rate and the limited tenure of these employees. The manual evaluation processes often lead to biases, inconsistencies, and a lack of accuracy in supporting decision-making. This research aims to develop a decision support system based on the RECA and COPRAS methods to produce a more objective, transparent, and systematic evaluation. RECA is used to determine the criteria weights proportionally based on each contribution, while COPRAS functions to assess and provide a final ranking of employee performance by considering both benefit and cost-type criteria. The research results show that this system is capable of sorting non-permanent employees fairly with ranking results of E-AS-05 with a score of 100%, E-AS-03 with a score of 97.32%, E-AS-01 with a score of 94.03%, E-AS-02 with a score of 88.34%, and E-AS-04 with a score of 82.19%. The integration of the RECA and COPRAS methods not only enhances the effectiveness of performance evaluation but also provides a tangible contribution to supporting more efficient and sustainable human resource management.
Soft Voting Based Optimized Ensemble for Migraine Type Classification Misriati, Titik; Aryanti, Riska; Leidiyana, Henny
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.861

Abstract

The accurate classification of migraine subtypes is a complex challenge in neurology, hindered by symptomatic similarities between types. This complexity necessitates advanced computational tools to support diagnostic precision. This study aims to develop and evaluate an optimized soft voting ensemble classifier to automate this multi-class classification task effectively. The methodology involved training eight base models—including Neural Network, Random Forest, and Gradient Boosting—on a publicly available migraine dataset, with an 80-20 train-test split. The top three performers were integrated into a soft voting ensemble, which aggregates their predicted probabilities to enhance decision robustness. Model performance was rigorously assessed using accuracy, precision, recall, F1-score, and AUC-ROC metrics. The results demonstrated that the proposed ensemble achieved superior performance, with an accuracy of 91.67% and an F1-score of 91.50%, outperforming all constituent models. Furthermore, the ensemble attained near-perfect AUC-ROC values across multiple classes, confirming its strong discriminatory capability. The study concludes that the soft voting ensemble is a highly effective and reliable approach for migraine subtype classification, offering significant potential as a decision-support tool in clinical environments. Future work will focus on hyperparameter optimization, explainability, and validation with larger multi-centric datasets to facilitate clinical adoption.
Design of Android-Based Food Ordering Information System at RM. Solideo Kuliner Pesik, Kevin Jeremi; Montolalu, Chriestie Ellyane Juliet Clara; Kalengkongan, Wisard Widsli; Lapihu, Dodisutarma; Soewoeh, Christian Alderi Jeffta; Langi, Yohanes Andreas Robert; Takaendengan, Mahardika Inra
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.308

Abstract

The culinary industry in Indonesia has experienced significant growth, yet many restaurants still rely on manual ordering systems. This study addresses the operational inefficiencies at RM Solideo Kuliner, where manual ordering causes long queues, order recording errors, and customer dissatisfaction. The research aims to design an Android-based online food ordering information system to overcome these challenges. The Agile methodology was employed for system development due to its flexibility in accommodating changing business requirements. Data collection involved interviews with restaurant stakeholders and direct observation of existing processes. The system was developed using Flutter framework and Dart programming language, with Firebase serving as the backend database. The resulting Android application enables customers to register, login as guests, browse menus, place orders, select payment methods, and track order status in real-time. Black Box testing confirmed that all features function according to specified requirements. Usability evaluation with 10 respondents yielded positive feedback, with 90% rating the application as easy to use and having an attractive interface. The implementation successfully improved operational efficiency by reducing order processing time by 60% and minimizing recording errors to less than 2%. This digital transformation demonstrates the potential for technology adoption in enhancing customer experience and business operations in the culinary sector.
Design and Development of A Web-Based Thesis Administration System to Improve the Efficiency of Academic Services Kalumata, Yoel Cleaver; Pinontoan, Benny; Takaendengan, Mahardika Inra; Kalengkongan, Wisard Widsli; Ngangi, Stephano Caesar Wenston; Lapihu, Dod
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.352

Abstract

This research focuses on developing a web-based thesis administration system using the Rapid Application Development (RAD) method to enhance the efficiency of academic services in the Information Systems Study Program. The system is intended to replace manual procedures that are often slow and error-prone, aiming to streamline administrative tasks and improve service quality.The development follows the RAD stages: needs planning, system design, development, and implementation. Data collection methods include literature studies, observations, and questionnaires to ensure the system meets user needs. Research findings show that the system successfully meets the requirements of users within the study program. Testing results demonstrate a notable improvement in administrative efficiency compared to previous manual processes. In conclusion, the RAD-based web system effectively improves academic service delivery by minimizing delays and simplifying administrative processes.

Page 3 of 3 | Total Record : 24

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