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All Journal Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Jurnal Teknik Informatika (JUTIF)
Bangun Wijayanto
Universitas Jenderal Soedirman
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Perancangan Aplikasi Informasi SMS untuk Alumni Unsoed Menggunakan UML (Unified Modeling Language) Wijayanto, Bangun; Taryana, Acep
Dinamika Rekayasa Vol 3, No 1 (2007): Dinamika Rekayasa - Februari 2007
Publisher : Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.dr.2007.3.1.125

Abstract

Unified Modeling Language (UML) is a language which have come to the standard in industry to visualize, design and document the software system. Using UML we can make model for All software application type, where the application can also written in many language. SMS (Short Message Service) is the best choice to solve geographic problems in spreading information to the alumni Unsoed. The aim of this research is to compile notation of UML (Unified Modeling Language) in development of SMS Server for Alumni Unsoed. This research is conducted with software engineer method. The design result of software SMS alumni Unsoed present that UML (Unified Modeling Language) help in design and software programming
Performance Evaluation of Backend Frameworks for REST API: A Comparative Study of Spring Boot, Flask, Express.js, Laravel FrankenPHP, and Gin Azzahidi, Aufa Syaihan; Wijayanto, Bangun; Darmawan, Agus
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4811

Abstract

One major impact of this development is the shift in application development, particularly in data integration across different platforms. Web services have emerged as a solution for system integration and multi-platform application development. One implementation of Web services is Representational State Transfer. The choice of programming language and framework is also crucial in web application development, directly affecting performance and efficiency. Research on framework performance is necessary to support the development of an Academic Information System. This study will use parameters such as response time, throughput, and resource usage, employing a performance testing method modified by the author. The method includes problem identification, data collection, backend development, performance testing, and conclusion. The test results show that Spring Boot outperforms others in all parameters with stable and efficient performance. Gin is suitable for medium-scale data, Flask excels in scalability but lacks stability, Express.js is efficient CPU usage, and Laravel with FrankenPHP is Memory-efficient. These results serve as a reference for selecting frameworks according to REST API development needs. This research supports developers in selecting appropriate backend frameworks for high-performance REST API systems.
From Monoliths to Microservices: Designing a Scalable Super App Architecture for Academic Services at Universitas Jenderal Soedirman Wijayanto, Bangun; Iskandar, Dadang; Rahayu, Swahesti Puspita
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5237

Abstract

Jenderal Soedirman (Unsoed) currently operates more than 30 monolithic information systems built with heterogeneous technology stacks, resulting in duplicate functionality, inconsistent user experience, and high maintenance costs. This study designs a modular, microservices‑based Super App architecture that integrates core academic services (KRS/KHS, transcript, student & lecturer attendance, lecturer activity log) and a parent/guardian monitoring feature. Using the Design Science Research (DSR) method, we (1) identified problems via a technology audit and problem–objective matrix; (2) designed the artifact with Domain‑Driven Design, C4 modelling, and API‑first contracts; (3) demonstrated a working prototype with API Gateway, SSO, and event‑driven notifications; (4) evaluated performance (<300 ms latency for 500–1000 concurrent users) and stakeholder impact; and (5) communicated results through this paper. The proposed architecture reduces integration complexity, supports zero‑downtime deployment, and enhances transparency for parents without violating consent and privacy. The validated blueprint provides a roadmap for transforming legacy campus systems into a scalable, observable, and governable Super App.
Implementation of K-Means on Packaged Coffee Sales Data for Simulating Goods Entry in Sole Proprietorship Businesses Triansyah, Agri; Wijayanto, Bangun; Paramestuti, Ayu Anjar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5245

Abstract

In retail businesses operating under the sole proprietorship structure, decision-making regarding partnerships with beverage distributors—especially those offering packaged coffee—remains a challenge. Store owners often face uncertainty about the profitability of accepting product offerings, which can lead to suboptimal inventory decisions. This study addresses that issue by simulating goods entry scenarios and applying clustering techniques to historical packaged coffee sales data, enabling data-driven insights into product performance and distributor value. Studies focusing on clustering within retail include segmenting customer behaviour and stock management strategies, yet many lacked specific application to single owner businesses and product-centric simulations. This research is novel in its contextual focus on packaged coffee distribution within sole proprietorship environments, integrating real sales metrics and clustering algorithms to empower store owners with actionable evaluation tools. Results demonstrate that clustering reveals patterns of profitable product categories and distributor consistency, offering scalable insights for micro-retail optimization. The findings provide a framework that differs from prior studies by emphasizing the intersection between small business dynamics and algorithmic decision support. Ultimately, this research contributes to the advancement of informatics by demonstrating how clustering-based simulations can enhance decision-making in micro-retail environments through practical, data-driven methodologies.  
Implementation of Clustering on Packaged Coffee Sales Data for Simulating Goods Entry in Sole Proprietorship Businesses Paramestuti, Ayu Anjar; Wijayanto, Bangun; Triansyah, Mochammad Agri
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5283

Abstract

In retail businesses operating under the sole proprietorship structure, decision-making regarding partnerships with beverage distributors—especially those offering packaged coffee—remains a challenge. Store owners often face uncertainty about the profitability of accepting product offerings, which can lead to suboptimal inventory decisions. This study addresses that issue by simulating goods entry scenarios and applying clustering techniques to historical packaged coffee sales data, enabling data-driven insights into product performance and distributor value. Studies focusing on clustering within retail include segmenting customer behavior and stock management strategies, yet many lacked specific application to single owner businesses and product-centric simulations. This research is novel in its contextual focus on packaged coffee distribution within sole proprietorship environments, integrating real sales metrics and clustering algorithms to empower store owners with actionable evaluation tools. Results demonstrate that clustering reveals patterns of profitable product categories and distributor consistency, offering scalable insights for micro-retail optimization. The findings provide a framework that differs from prior studies by emphasizing the intersection between small business dynamics and algorithmic decision support.
THALASSEMIA MINOR SCREENING APPLICATION USING THE C4.5 METHOD BASED ON LARAVEL Sohputro, Nicolas; Wijayanto, Bangun; Kurniawan, Yogiek Indra
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1672

Abstract

Thalassemia is an inherited blood disorder that causes anaemia and weak red blood cells. Thalassemia minor is a type of thalassemia where the patient is a carrier of thalassemia and only experiences mild anaemia. To prevent an increase in the number of thalassemia cases, a screening process is held for an individual to confirm whether there is a thalassemia carrier in the body. In providing screening in Banyumas Regency, the Unsoed Medical Faculty Thalassemia Research Team encountered several problems, namely that the screening results could only show whether an individual was a carrier of thalassemia minor or not. This causes a problem because a good screening result is a probability. The second problem is the absence of an integrated information system for thalassemia control in Banyumas Regency. The solution to these two problems is to build a thalassemia minor screening application. The application uses the C4.5 data mining method to calculate the likelihood of thalassemia minor in individuals. The application is made website-based using Laravel to speed up website development. The system also uses a web service to be able to access the created C4.5 algorithm.
Co-Authors Acep Taryana, Acep Agus Darmawan Azzahidi, Aufa Syaihan Dadang Iskandar, Dadang Kurniawan, Yogiek Indra Paramestuti, Ayu Anjar Rahayu, Swahesti Puspita Sohputro, Nicolas Triansyah, Agri Triansyah, Mochammad Agri