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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Journal of Information Systems and Informatics Jurnal Pengabdian Masyarakat J-LEE - Journal of Law, English, and Economics Informasi interaktif : jurnal informatika dan teknologi informasi Unnes Journal of Public Health ADVANCE INFORMATICS RESEARCH JOURNAL
Wirasto, Anggit
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Other

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Journal : ADVANCE INFORMATICS RESEARCH JOURNAL

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ANDROID-BASED EMPLOYEE DATA INFORMATION AND SALARY VERIFICATION SYSTEM Nurdhini, Gina; Sukma Indrayana, Andri; Wirasto, Anggit
ADVANCE INFORMATICS RESEARCH JOURNAL Vol. 1 No. 2 (2025): Advanced Informatics Research
Publisher : LKP Tematik Aperta Nusantara

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Abstract

Piranti Teknik Indonesia is engaged in manufacturing which produces wiring harnesses for motorcycles and others. This company is one of the companies that joined the Banshu Group or known as Banshu Electric Indonesia. PT. Piranti Teknik Indonesia is one that uses a computerized but simple payroll system, but in the salary complaint system it is still done manually, so the data processing is experiencing obstacles. If this problem is allowed to continue it will result in the work system being less effective. So we need a system that is able to provide convenience in managing salary data efficiently. For this reason, the author will design an android-based information system that will facilitate the process of complaining about salary data by using a computerized system and data base as storage media, so that data will not be lost or damaged. With the construction of an Information System, the payroll process will no longer be hampered, because this system is designed to build a work system that is more effective, fast and accurate. If this research is successful, it will produce a system that is able to help provide convenience for both parties, so that it can be expected that later it will simplify and speed up the service process, data storage and, as well as the restatement of the data.
Regression Model Exploration in Software Effort Estimation Using the Use Case Point Method Wirasto, Anggit
ADVANCE INFORMATICS RESEARCH JOURNAL Vol. 2 No. 1 (2026): Advanced Informatics Research
Publisher : LKP Tematik Aperta Nusantara

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Abstract

Software development effort estimation is a crucial aspect of project management as it directly affects scheduling, resource allocation, and cost control. The Use Case Point (UCP) method is widely used for early-stage estimation; However, its traditional approach has several limitations, particularly related to subjective assessments and the tendency toward overestimation or underestimation. This study aims to explore and compare the performance of various regression models in improving the accuracy of UCP-based effort estimation. The dataset consists of 71 completed software projects, using UAW, UUCW, TCF, and ECF as predictor variables, and actual effort as the target variable. The evaluated models include Polynomial Regression, Decision Tree, Random Forest, Gradient Boosting, and Ridge Regression. Model performance was assessed using Mean Absolute Error (MAE), Mean Balanced Relative Error (MBRE), and Mean Inverted Balanced Relative Error (MIBRE) with an 80:20 train–test split. The experimental results indicate that the optimized Random Forest model achieves the best balance between training accuracy and generalization ability on unseen data (test MAE of 11.38), significantly outperforming the traditional UCP calculation method (MAE of 90.33). These findings suggest that non-linear regression approaches, particularly ensemble-based methods, can substantially enhance the reliability of software effort estimation compared to the conventional UCP method.
Co-Authors Afrig Aminuddin Apitiadi, Satyo Dwi Arlina Dewi Dewi, Trisna Setya Dhanar Intan Surya Saputra Krisbiantoro, Benny Kuncoro, Dimas Febri Kusuma, Velizha S Mustofa, Dinar Nurdhini, Gina Pandega, Dimas Marsus Prayoga, Agung Soali, Muhammad Sukma Indrayana, Andri Triwibowo, Deny Nugroho