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INDONESIA
Riau Jurnal Teknik Informatika
Published by Universitas Pasir Pengaraian
ISSN : -     EISSN : 28292529     DOI : https://doi.org/10.30606/rjti.v1i1
Core Subject : Science,
Computer Science & IT
Riau Jurnal Teknik Informatika dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian bidang ilmu komputer dan teknologi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Ilmu Komputer dan Teknologi. Riau Jurnal Teknik Informatika menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Perangkat Lunak Rekayasa Perangkat Keras Keamanan Informasi Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Sistem Kecerdasan Buatan Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Internet of Things Enterprise Computing Machine Learning Topik kajian lainnya yang relevan
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 176 Documents
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Implementasi dan Perancangan Sistem Pengelolaan dan Penyewaan Aset Berbasis Web dengan Algoritma Priority Scheduling Queue dan First In First Out (FIFO) untuk PT Indonesia Comnets Plus Lukas Lukas; Anita Ratnasari
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4720

Abstract

The IT asset rental at PT Indonesia Comnets Plus has been facing issues with data fragmentation and conflicts in logistics distribution priorities. This study aims to develop a web-based asset management information system using the Laravel 10 framework and MVC architecture. The main solution implemented is a hybrid scheduling mechanism that integrates the Multilevel Feedback Queue (MFQ) and First In First Out (FIFO) algorithms. MFQ groups delivery queues into three priority levels based on rental dates, while FIFO ensures fair distribution within the same priority level. Function testing using Black Box Testing across five key scenarios, including Midtrans integration, a daily return penalty of 3.5%, and a due date penalty of 2%, showed 100% validity. This system successfully improves logistics efficiency and clarifies contract transparency.
Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Menggunakan Metode Hibrid Fuzzy-AHP dan MOORA pada Madrasah Ibtidaiyah Riki Evendi; Ahmad Zulfan
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4750

Abstract

The selection of scholarship recipients in educational institutions often faces challenges in objectivity and transparency of the decision-making process. Manual selection processes are prone to assessor subjectivity and require considerable time. This study aims to develop a decision support system for scholarship recipient selection using hybrid Fuzzy-AHP and MOORA methods at Madrasah Ibtidaiyah Daarul Ishlah Batam. The Fuzzy-AHP method is used to determine criteria importance weights by handling uncertainty in pairwise comparison assessments, while MOORA is used to rank students based on multi-criteria values. The system is designed as a web-based application using Laravel framework with MySQL database. Assessment criteria include academic performance, parental income, number of family dependents, non-academic achievements, attendance, and behavior. Research data uses 20 students with 120 assessment data for 6 criteria. Fuzzy-AHP calculations produce criterion weights with a Consistency Ratio of 0.0481, indicating excellent consistency. MOORA calculations successfully generate student rankings with the highest Yi value of 0.234156 to the lowest of 0.089234. System validation using black box testing shows a 100 percent success rate. This system proves capable of providing objective, transparent, and measurable scholarship recipient recommendations to support madrasah management decisions.
Implementasi Hybrid Cloud Berbasis NAS untuk Backup Otomatis Data Transaksi POS Qasir Muhammad Rafif Ulwan; Desi Ramayanti
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4757

Abstract

Vape Paradise relies on the Qasir Point of Sale (POS) application to manage sales transactions; however, transaction data is still backed up manually, increasing the risk of data loss and reducing data availability. Previous studies have mainly focused on Network Attached Storage (NAS) as a local storage solution, while the integration of NAS with automated cloud backup for retail transaction systems remains limited. Therefore, this study aims to implement a hybrid cloud backup system by integrating a Samba-based NAS with Google Drive to provide automated and reliable transaction data backup. The proposed system was developed through network design, NAS configuration, automated synchronization using Task Scheduler and Robocopy, and system testing. Experimental results demonstrate that transaction files were successfully synchronized automatically to both NAS and Google Drive, while network connectivity achieved 0% packet loss, indicating stable communication during the backup process. The proposed hybrid cloud backup system enhances data security, availability, and backup efficiency, providing a cost-effective solution for protecting transaction data in retail business environments.
Analisis Kerapatan Pertahanan Sepak Bola Berbasis Computer Vision dan Transformasi Homografi Savio Hendriko Palendeng; Oktavian Abraham Lantang; Muhamad Dwisnanto Putro
Riau Jurnal Teknik Informatika Vol. 5 No. 3 (2026): November 2026
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i3.4772

Abstract

Defensive compactness and inter-player distance are crucial tactical aspects in football. However, their evaluation has traditionally relied on subjective visual observation, which is highly susceptible to bias caused by perspective distortion from television broadcast cameras. This research aims to develop an automated data-driven spatiotemporal analytics system to quantitatively extract tactical metrics from single broadcast camera videos. This system provides an objective solution for coaching staff to precisely evaluate the effectiveness of defensive strategies, replacing manual observation methods. The proposed method integrates Computer Vision and Deep Learning, utilizing the YOLOv11m model for player detection, the BoTSORT tracking algorithm, and a color space filter for team differentiation. The 2D pixel coordinates are then converted into real-world pitch distance metrics using Homographic Transformation supported by Global Motion Estimation (GME) to overcome camera movement. Testing on static (Indonesia National Team) and dynamic (Bayern Munich) defensive scenarios showed that the detection model achieved an mAP50 precision of 0.986, with a tracking accuracy (MOTA) of 89.78%. Field distance projection validation recorded a very low error rate (MAPE) of 7.93% in the static calibration area. This computational system is proven reliable as a Sports Analytics instrument to reduce tactical interpretation bias, map Convex Hull and dyadic distances, and objectively support coaches strategic decision-making.
Analisis Sentimen Berbasis Aspek Ulasan GoFood di X dengan Ekstraksi Aspek Rule-Based dan Klasifikasi IndoBERT Nazlah Ayunda Syahputri Jacub; Agustinus Jacobus; Muhamad Dwisnanto Putro
Riau Jurnal Teknik Informatika Vol. 5 No. 3 (2026): November 2026
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i3.4822

Abstract

Social media reviews provide insights into user perceptions of food delivery services, but general sentiment analysis does not identify specific service aspects. This study applies Aspect-Based Sentiment Analysis (ABSA) using a hybrid Rule-Based and IndoBERT approach to GoFood reviews on X. Rule-Based methods extract aspects using keywords and structured rules, while IndoBERT classifies sentiment based on textual context. From 28,763 Indonesian-language tweets obtained from Kaggle, 5,657 aspect–sentiment pairs were obtained after preprocessing, aspect extraction, auditing, and manual verification. The dataset covers four aspects: price, service, food quality, and application. Using a StratifiedGroupKFold split of 70:15:15, IndoBERT achieved 90.31% accuracy and a Macro F1-score of 0.8883 on 846 test samples. Food quality achieved the highest aspect-specific accuracy (92.62%), followed by price (90.40%), service (90.00%), and application (87.88%). Price was the most frequently identified aspect, while positive sentiment dominated food quality (60.4%) and neutral sentiment dominated the other three aspects. These findings provide detailed aspect-level insights into user perceptions and can help identify service aspects to maintain or examine further. However, the impact on service quality improvement has not been directly evaluated.
Penerapan Algoritma Earliest Due Date (EDD) pada Sistem Penjadwalan Teknisi Service AC Berbasis Web di Emel Service Hamid Muhammad Saiful Zaman; Muhammad Patria
Riau Jurnal Teknik Informatika Vol. 5 No. 3 (2026): November 2026
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i3.4878

Abstract

Manual booking and technician scheduling at Emel Service, an AC maintenance micro-enterprise, frequently caused overlapping assignments and difficulty tracing customer repair histories. This study develops a web-based booking and scheduling application that applies the Earliest Due Date (EDD) rule, combined with a slot-locking mechanism, to order technician assignments by the earliest customer-selected appointment slot. The system was built using the Prototyping method with the Laravel framework, MySQL, and Docker, and analysed with PIECES and UML. The EDD logic is illustrated through a worked scheduling example that compares the as-received order with the EDD order using completion time and lateness. Functional testing with Black Box Testing covered six core business scenarios, all of which passed (valid), while User Acceptance Testing with the business owner confirmed that the application fits the partner's daily operational workflow. The scientific contribution of this study is a concrete reference design that integrates the EDD rule with multi-session slot locking and structured WhatsApp confirmation drafts for service-sector micro, small, and medium enterprises (MSMEs). The system replaces manual record-keeping with a structured relational database, prevents double-booked slots at the design level, and accelerates order confirmation. This study is limited to functional and single-stakeholder acceptance evaluation in a localhost environment; comparative operational measurement over time is identified as future work.

Page 18 of 18 | Total Record : 176

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