cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rizka Hafsari
Contact Email
rizkahafsari@umri.ac.id
Phone
+6282390272837
Journal Mail Official
rizkahafsari@umri.ac.id
Editorial Address
Jl. Tuanku Tambusai, Delima, Kec. Tampan, Kota Pekanbaru, Riau 28290
Location
Kota pekanbaru,
Riau
INDONESIA
Journal of Software Engineering and Information System (SEIS)
Published by Universitas Muhammadiyah Riau
ISSN : -     EISSN : 28090950     DOI : https://doi.org/10.37859/seis.v3i1
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
Journal of Software Engineering and Information System (SEIS) is a peer-reviewed journal published twice a year (January and August) by the Department of Information System - Faculty of Computer Science, Universitas Muhammadiyah Riau. The scope of the journal is: Artificial Intelligent Business Intelligence and Knowledge Management Data Mining E-Bussiness IT Governance Enterprise System System Design Information Design & Development Database System Expert System Decision Support System
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 83 Documents
 5   6   7   8   9 
ANALISIS KUALITAS LAYANAN WEBSITE WIRAUSAHA MERDEKA UNIVERSITAS RIAU TERHADAP KEPUASAN PENGGUNA MENGGUNAKAN METODE WEBQUAL 4.0 Syahril; Surya, Rizky Fajar
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 1 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi informasi mendorong perguruan tinggi untuk menyediakan sistem informasi berbasis web yang mampu mendukung efektivitas layanan akademik dan non-akademik. Salah satu implementasinya adalah website Wirausaha Merdeka Universitas Riau (WMK UNRI) yang digunakan sebagai media pengelolaan dan pelaksanaan program Wirausaha Merdeka. Namun, dalam implementasinya masih ditemukan beberapa kendala teknis yang berpotensi memengaruhi kepuasan pengguna. Penelitian ini bertujuan untuk menganalisis pengaruh kualitas layanan website terhadap kepuasan pengguna menggunakan metode Webqual 4.0, yang mencakup dimensi Usability, Information Quality, dan Service Interaction Quality. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei terhadap 200 responden peserta WMK UNRI Batch II Tahun 2023. Data dikumpulkan melalui kuesioner skala Likert dan dianalisis menggunakan regresi linier berganda dengan bantuan perangkat lunak SPSS. Hasil penelitian menunjukkan bahwa secara simultan ketiga variabel independen berpengaruh signifikan terhadap kepuasan pengguna. Namun, secara parsial hanya variabel Service Interaction Quality yang berpengaruh positif dan signifikan terhadap User Satisfaction, sedangkan Usability dan Information Quality tidak berpengaruh signifikan. Nilai koefisien determinasi (R²) sebesar 0,760 menunjukkan bahwa model penelitian mampu menjelaskan 76% variasi kepuasan pengguna. Hasil penelitian ini menegaskan bahwa kualitas interaksi layanan merupakan faktor dominan dalam meningkatkan kepuasan pengguna website WMK UNRI. Oleh karena itu, pengelola website disarankan untuk memprioritaskan peningkatan aspek interaksi layanan guna mendukung keberhasilan implementasi sistem informasi secara berkelanjutan.
IMPLEMENTASI ALGORITMA GREEDY MATCHING PADA SISTEM REKOMENDASI JASA TUKANG BANGUNAN Rosidin; Sudur, Misbahus; Dana, Raditya Danar; Lestyorini, Ratna Dewi; Sukarsa
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.10848

Abstract

The small-scale construction industry in Warnasari District, Brebes Regency, still faces inefficiencies in finding daily construction workers because the recruitment process is commonly carried out through gathering points and word-of-mouth information. This condition creates income uncertainty for workers and makes it difficult for employers to assess workers’ skills, location, and reputation. This study aims to develop a web-based recommendation system for construction worker services by implementing the Greedy Matching algorithm. The main contribution of this research is the application of weighted matching based on skill, location distance, and performance rating criteria to generate fast and measurable worker recommendations. The system was developed using the Rapid Application Development (RAD) method, while the recommendation process was carried out by calculating the heuristic value of each candidate and selecting the candidate with the highest score as a local optimal solution. The evaluation was conducted through Black Box testing to assess the validity of system functions and a Greedy Matching calculation simulation to evaluate the candidate ranking output. The test results showed that all system features functioned validly with a success rate of 100%. The calculation simulation results showed that the candidate with a score of 97.0 was placed in the first position compared to another candidate with a score of 74.0. These results indicate that the system is able to generate measurable construction worker service recommendations based on the applied weighted criteria.
PENERAPAN TEKNOLOGI REVERSE PROXY MENGGUNAKAN NGINX PADA INFRASTRUKTUR DIGITAL PEMERINTAH KOTA PEKANBARU Yasriady, Dedy; Marzuki, Asep; Adha, Afifah Cahayani
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11037

Abstract

The rapid growth of web-based public services in local government has increased the complexity of managing web traffic, security, SSL certificates, and server administration across numerous subdomains. Without centralized management, these conditions can reduce operational efficiency and increase security risks. This study aims to evaluate the implementation of NGINX as a web gateway and reverse proxy within the digital infrastructure of the Pekanbaru City Government. A case study approach was employed through system design, implementation, and performance evaluation in a production environment managing the primary domain pekanbaru.go.id and approximately 170 subdomains. Data were collected from NGINX access logs, system monitoring using Grafana and Prometheus, and performance benchmarking using ApacheBench. The results show that the implementation of NGINX successfully centralized SSL certificate management, logging, and traffic routing through a single entry point, simplifying the administration of more than 170 subdomains while requiring only one public IP address. Benchmark testing indicates that although the average throughput of NGINX (163.07 requests/s) was slightly lower than the Apache backend (171.62 requests/s), NGINX demonstrated more stable performance with a significantly lower longest request time (2087 ms compared to 4039 ms) and no failed requests. These findings demonstrate that NGINX is an effective solution for improving operational efficiency, centralized security management, and service stability in government web infrastructures.
IMPLEMENTASI SISTEM SMART VENTILATION BERBASIS IOT MENGGUNAKAN THRESHOLD KUALITAS UDARA Hamid, Muhammad Almas Albirra; Pratama, Dicky Aldian; Alghifari, Gian; Aprialna, Ravi Rabbani; Perkasa, Anan Satria; Firdaus, Rahmad; Wenando, Febby Apri
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11039

Abstract

Poor air quality in enclosed workspaces, particularly in Micro, Small, and Medium Enterprises (MSMEs) that operate CNC laser cutting machines for acrylic processing, poses potential health risks and reduces worker comfort. This study aims to design and implement an Internet of Things (IoT)–based Smart Ventilation system capable of automatically monitoring and controlling indoor air quality based on predefined threshold values. The system integrates air quality sensors to detect smoke or hazardous gases, an ESP32 microcontroller as the central processing unit, and an exhaust fan as the actuator. Sensor data are processed in real time and used as the basis for activating or deactivating the ventilation system, while monitoring information is displayed through an IoT platform for remote supervision. Experimental results indicate that the proposed system can accurately identify changes in air quality and respond automatically to hazardous conditions in accordance with the defined thresholds. The implementation of this system is expected to improve indoor air quality, support occupational health and safety, and enhance energy efficiency through condition-based ventilation control.
SYSTEMATIC LITERATURE REVIEW PERKEMBANGAN METODE COMPUTER VISION PADA PENGOLAHAN CITRA TAHUN 2017–2025 Akbar, Muhammad Arief; Azim, Fauzan
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11125

Abstract

The development of Computer Vision technology in recent years has shown significant growth along with advances in Deep Learning methods and the availability of large-scale datasets. Numerous studies have produced various approaches, architectures, and evaluation metrics, creating the need for a structured mapping to comprehensively understand the direction of this field. This study aims to analyze methodological trends, research task focuses, and dominant evaluation metrics in Computer Vision research. The method employed is a Systematic Literature Review (SLR) of 20 scientific article published between 2017 and 2025. The analysis process was conducted through data extraction covering method types, task focuses, datasets, and evaluation metrics used in each study. The results indicate that Convolutional Neural Networks and Vision Transformers are the most dominant architectures, with the primary research focuses on object detection, image classification, and video understanding. The most frequently used evaluation metrics are accuracy, mean Average Precision (mAP), and Intersection over Union (IoU). These findings reveal a gradual shift from convolution-based approaches toward transformer-based architectures that are more adaptive to large-scale visual data. This study provides a comprehensive overview of the development direction of Computer Vision and can serve as a reference for future research in selecting relevant methods and research focuses, both in terms of accuracy-oriented performance and computational efficiency.
ANALISIS PERFORMA SMOTE DAN SMOTE-TOMEKLINK UNTUK KLASIFIKASI DIABETES : XGBOOST-SHAP Hidayah, Arifah Budi; Ikhsan, Ali Nur
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11357

Abstract

This study examines the effects of SMOTE and SMOTE-TomekLink on XGBoost classification and SHAP interpretability using an imbalanced diabetes dataset (100,000 samples, 91.5% : 8.5% ratio). Three research gaps are addressed: (i) direct experimental comparison of both resampling techniques within identical pipelines; (ii) quantification of minority sensitivity stability through Stratified 5-Fold Cross-Validation; and (iii) reliability of post-resampling SHAP interpretation. Results demonstrate significant superiority of SMOTE-TomekLink with a F1-score of 0.89 (SMOTE 0.85, baseline 0.81), recall of 0.86 (SMOTE 0.85, baseline 0.70), and the lowest false positive rate of 176 cases (SMOTE 345, baseline 40). The lowest cross-validation standard deviation (0.0021) validates superior stability. These figures meet the very good performance category (F1-score >0.85, recall >0.80) for imbalanced medical classification. Primary contribution: the first controlled comparative design that simultaneously examines resampling effects on classification metrics and SHAP interpretation validity. SHAP analysis verifies HbA1c and blood glucose as dominant predictors (52.3% variance), consistent with medical standards.
PENGEMBANGAN SISTEM PREDIKSI PERSEDIAAN BARANG BERBASIS WEB PADA TOKO MURNI Wardana, Muhammad Andika; Gultom, Zuli Agustina
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11416

Abstract

This study discusses the development of a web-based inventory prediction system for Toko Murni aimed at enhancing efficiency and accuracy in stock management. The main issue faced by Toko Murni was the inaccuracy of manual inventory management, which often resulted in discrepancies between records and actual stock levels, and failed to consider historical data patterns. The system was developed using PHP and MySQL, employing the Waterfall development model from requirement analysis to maintenance. Black Box testing was conducted to ensure all functions operate as expected. The results indicate that all features, including login, management of item types, period data, stock prediction, prediction results, password changes, and logout, function properly. The system accurately reflects inventory fluctuations and predicts stock needs quickly, supporting data-driven decision-making in a structured and effective manner. The simple yet functional interface facilitates administrators in managing inventory and recording data systematically.
MITIGASI BIAS LARGE LANGUAGE MODEL MELALUI HUMAN-IN-THE-LOOP PADA AUTOMATED ESSAY SCORING BERBASIS ESAI IELTS-LIKE Al Hafiz, Muhammad Abdiel; Amin, M. Syaiful
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11478

Abstract

This study evaluates the reliability, algorithmic bias, and feasibility of implementing Human-in-the-Loop (HITL) in Large Language Model (LLM)-based Automated Essay Scoring (AES). Two architectures were compared: the Mixture-of-Experts architecture represented by GPT OSS 120B and the Dense architecture represented by Qwen3-32B, using a multiple-run scoring approach on 150 IELTS-like essays written by 50 respondents. Each essay was evaluated five times across four criteria: Grammar, Lexical Resource, Coherence, and Task Achievement. The evaluation employed the Intraclass Correlation Coefficient (ICC), Coefficient of Variation (CV), score range, paired t-test, and confidence-based routing simulation.The results show that GPT OSS 120B achieved higher reliability, with an ICC of 0.94, an average range of 2.40 points, and a CV of 4.69%, while Qwen3-32B obtained an ICC of 0.84, an average range of 5.56 points, and a CV of 9.17%. However, GPT OSS 120B experienced a parsing failure rate of 25.4%, whereas Qwen3-32B demonstrated full format compliance. Comparative analysis also showed that GPT OSS 120B tended to score more strictly, while Qwen3-32B was more lenient. In the Data Report task without visual input, both models exhibited conservatism bias due to contextual limitations. The HITL simulation showed that GPT OSS 120B could automatically approve 55.4% of essays, compared with only 7.8% for Qwen3-32B. These findings highlight the importance of HITL in maintaining the reliability, fairness, and integrity of academic assessment.
PENERAPAN FRAMEWORK ITIL DALAM MANAJEMEN LAYANAN TI PADA PLATFORM E-COMMERCE: LITERATURE REVIEW RahmaNia, Anisya; Meilia, Aissah; Aprilia, Dwi; Absharina, Eriene Dheanda
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11517

Abstract

The rapid growth of e-commerce has increased the need for effective information technology (IT) service management to ensure service availability, responsiveness, and user satisfaction. One of the widely adopted frameworks for managing IT services is the Information Technology Infrastructure Library (ITIL). This study aims to analyze the implementation of the ITIL framework in IT service management within e-commerce platforms through a literature review approach. The literature was collected from Google Scholar using keywords related to ITIL, IT Service Management (ITSM), and e-commerce. The selected studies were published between 2020 and 2025, available in full-text format, and sourced from scientific journals and conference proceedings. An initial search identified 30 articles, of which 7 met the inclusion criteria and were selected for further analysis. The findings indicate that ITIL V3 remains the most frequently adopted framework, while the use of ITIL V4 is still limited. Service Operation was identified as the most commonly applied domain, particularly in Incident Management, Problem Management, Request Fulfillment, and Access Management. Furthermore, most e-commerce platforms were found to operate at the Defined and Managed maturity levels. Common challenges reported across the studies include inadequate service monitoring, delayed incident resolution, system disruptions, limited service integration, and gaps in service availability and information security. Overall, the findings suggest that ITIL contributes to a more structured, measurable, and service-oriented approach to IT service management in e-commerce environments.
PERANCANGAN SISTEM INFORMASI POSYANDU BERBASIS WEBSITE SEBAGAI IMPLEMENTASI E-GOVERNMENT DESA MENGGUNAKAN DESIGN THINKING Firmani, Eka; Krisbiantoro, Dwi; Wulandari, Oca Meilika
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11521

Abstract

Posyandu as a community-based health service still faces problems in data management carried out manually using conventional books, causing data to be prone to loss, unintegrated, and limited access to health information for the community. This condition hinders the effectiveness of health services for toddlers and the elderly at the village level. This study aims to design and develop a website-based Smart Health Village information system as an implementation of e-government at the village level using the Design Thinking approach. The Design Thinking method is applied through five stages, namely Empathize, Define, Ideate, Prototype, and Test, which enables system development based on the actual needs of users. The system development involved three posyandu cadres and six residents as informants. The resulting system has three user roles, namely Admin, Village Apparatus, and Residents, with main features including toddler and elderly data management, health examination recording, posyandu activity scheduling, and reports that can be exported to PDF format. System testing was carried out using the Black Box Testing method with twelve testing scenarios which showed that all functional features of the system ran as expected. With this system, it is hoped that posyandu health services can potentially improve service efficiency digitally, accurately, and sustainably as a concrete manifestation of e-government implementation at the village level.

Page 8 of 9 | Total Record : 83

 5   6   7   8   9 

Filter by Year

2021 2026


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2026) Vol. 6 No. 1 (2026) Vol. 5 No. 2 (2025) Vol. 5 No. 1 (2025) Vol. 4 No. 2 (2024) Vol. 4 No. 1 (2024) Vol. 3 No. 2 (2023) Vol. 3 No. 1 (2023) Vol. 2 No. 2 (2022) Vol. 2 No. 1 (2022) Vol. 1 No. 1 (2021) More Issue