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Jurnal Computer Science and Information Technology (CoSciTech)
Published by Universitas Muhammadiyah Riau
ISSN : 2723567X     EISSN : 27235661     DOI : https://doi.org/10.37859/coscitech
Core Subject : Science,
Computer Science & IT
Jurnal CoSciTech (Computer Science and Information Technology) merupakan jurnal peer-review yang diterbitkan oleh Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Univeritas Muhammadiyah Riau (UMRI) sejak April tahun 2020. Jurnal CoSciTech terdaftar pada PDII LIPI dengan Nomor ISSN 2723-5661 (Online) dan 2723-567X (Cetak). Jurnal CoSciTech berkomitmen menjadi jurnal nasional terbaik untuk publikasi hasil penelitian yang berkualitas dan menjadi rujukan bagi para peneliti. Jurnal CoSciTech menerbitkan paper secara berkala dua kali setahun yaitu pada bulan April dan Oktober. Semua publikasi di jurnal CoSciTech bersifat terbuka yang memungkinkan artikel tersedia secara bebas online tanpa berlangganan.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 358 Documents
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Perancangan Aplikasi Tata Usaha Kayu Dengan Traceability System Berbasis Web Pada PT Bumi Trikama Jayasri Aprilia, Irma; Setiowati, Dewi
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10461

Abstract

PT Bumi Trikama Jayasri is a timber management company that faces challenges in recording timber distribution, such as data inaccuracies, delays in real-time input, and a lack of transparency in reporting. This research aims to design a web-based timber administration application with a traceability system that facilitates efficient recording, tracking, and reporting of timber distribution. The system development method uses the Waterfall model, consisting of analysis, design, implementation, testing, and maintenance stages. The technologies used include PHP with the Laravel framework and a MySQL database. The system is equipped with tracking features for distribution from TPN (Timber Collection Point) to barges, as well as reporting and data history modules. The Requirement Traceability Matrix (RTM) is used to verify the fulfillment of system requirements. Test results show that the system improves the efficiency and accuracy of record-keeping and supports faster and more accurate decision-making. This system is expected to serve as an effective digital solution for timber distribution management in the company.
The Penerapan Metode Customer Satisfaction Index Kepuasan Konsumen Terhadap Pelayanan Toko Cikal Aquarium Pasaribu, Satria; Sovina, Mutiara
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10463

Abstract

This study aims to determine the level of customer satisfaction with the services at Toko Cikal Aquarium by applying theCustomer Satisfaction Index (CSI) method. The store faces several issues, including a manual sales system, difficulties inobtaining customer satisfaction data, and the lack of a digital platform to support service quality evaluation. This researchadopts a quantitative approach with data collection methods including observation, interviews, and questionnaires. The CSImethod is used to analyze key service attributes such as location, individual service, store attributes, and product quality. Thesystem design follows the waterfall approach, utilizing PHP for programming, MySQL for the database, and UML modelingtechniques such as use case, class, activity, and sequence diagrams. The results show that implementing the CSI method in aweb-based system enables the seller to more easily identify which attributes influence customer satisfaction and makeimprovements based on the collected data. This system also facilitates documentation, evaluation, and strategic decision-makingin managing services at Toko Cikal Aquarium.
Implementasi Ant Colony Optimization Untuk Rute Terpendek Pada Pengiriman Barang J&T Cahyo, Rahandya; Siregar, Alda Cendekia; Octariadi, Barry Ceasar
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10467

Abstract

Parcel delivery is a logistics service that requires speed and efficiency, especially in determining delivery routes. The choice of this topic is based on the problem faced by J&T delivery in Kubu Raya, particularly Desa Kapur, where long travel distances often result in inefficiency. This study applies the Ant Colony Optimization (ACO) algorithm to identify the shortest route for parcel delivery. ACO mimics the behavior of ants in finding optimal paths based on pheromone intensity. Location data were obtained using coordinates from the Google Maps API and modeled into a weighted graph, where nodes represent delivery points and edges represent distances. The optimization process was carried out by simulating the movement of ant agents to evaluate alternative routes, followed by pheromone updates on the more efficient paths. The results indicate that ACO successfully generated more efficient delivery routes compared to conventional methods, achieving a distance reduction of 28.29%, equivalent to approximately 10.68 km saved. This efficiency contributes to reduced travel time and operational costs. The optimized routes were also visualized through an interactive map using Leaflet.js to facilitate analysis and interpretation. Therefore, ACO is proven to be effective in optimizing delivery routes and has strong potential for real-world application in courier services.
COMPARISON OF RANDOM FOREST AND XGBOOST ALGORITHMS IN CREDIT CARD FRAUD CLASSIFICATION Abdullah, Asrul; Khairah, Della Udya; Pangestika, Menur Wahyu
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10470

Abstract

Credit card fraud is a serious issue that can cause significant losses for both consumers and financial service providers. Therefore, a reliable and accurate fraud detection system is essential. The research adopts the CRISP-DM methodology, which includes six phases: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The dataset used was obtained from the Kaggle platform, consisting of 1,048,574 rows and 23 Features, including transaction amount, merchant category, location, and customer attributes. Model evaluation was conducted using a Confusion Matrix with accuracy, precision, recall , and F1-score as performance metrics. The evaluation results indicate that Xgboost outperforms Random Forest, achieving an accuracy of 99.19%, precision of 98.73%, recall of 99.66%, and F1-score of 99.19%. In comparison, Random Forest achieved an accuracy of 97.68%, precision of 97.38%, recall of 98.01%, and F1-score of 97.69%. These results demonstrate that Xgboost is more effective in consistently identifying fraud ulent transactions. Furthermore, this study successfully developed a web-based application using the Streamlit framework, integrating both models interactively to allow users to input data and obtain classification results in real time. Thus, this study has successfully achieved three main objectives: identifying the most suitable algorithm for fraud classification, thoroughly evaluating model performance, and developing an application as a decision support system for credit card fraud detection.
Analisis Rekomendasi Media Promosi PPDB SMA Nurul Falah Pekanbaru dengan Algoritma K-Means Clustering Hidayat, Muhammad Taufiq; Emansa Hasri Putra; Dini Nurmalasari
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10499

Abstract

The advancement of information technology has significantly transformed how educational institutions conduct promotional activities and student admissions. The shift toward digital behavior among society requires schools to adopt more adaptive and data-driven marketing strategies. SMA Nurul Falah Pekanbaru, as one of the private high schools, has experienced a decrease in student enrollment after the Covid-19 pandemic. Conventional promotional methods such as banners, billboards, and printed brochures have proven less effective in reaching prospective students. This research aims to analyze the effectiveness of promotional media based on student characteristics using the K-Means Clustering algorithm as a segmentation method. The dataset was obtained from three years of PPDB registration records, including demographic, socioeconomic, school origin, and promotion media information. The analysis process involved several stages, namely data preprocessing, exploratory data analysis (EDA), determination of the optimal number of clusters using the Elbow and Silhouette methods, and the development of a web-based recommendation system using Python, PHP, and MySQL. The results indicate that the optimal number of clusters is k=4 with a Silhouette Score of 0.351. The four clusters represent distinct behavioral patterns in accessing educational information, with digital media emerging as the most effective channel. The developed recommendation system provides decision support for the school in designing promotional strategies that are more efficient, measurable, and accurately targeted through data analytics-based insights.
Prediksi Harga Mobil Bekas Menggunakan Algoritma Support Vector Regression Herlangga, Herlangga; Pangestika, Menur Wahyu; Alkadri, Syarifah Putri Agustini
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10545

Abstract

The growth of the automotive industry in Indonesia has contributed to high demand for used cars as a more economical alternative to new cars. However, determining the price of used cars is often a challenge for showrooms and prospective buyers because it involves many factors and is subjective. This study aims to develop a used car price prediction model using the Support Vector Regression (SVR) algorithm with a Radial Basis Function (RBF) kernel approach. A total of 1,000 entries were obtained through web scraping from the cintamobil.com website. The research methodology refers to the CRISP-DM framework, starting from business understanding to model deployment through a web application using Streamlit. The preprocessing process involves handling missing values, outliers, data duplication, and numerical and categorical feature transformations. The SVR model was evaluated using RMSE, MAPE, and MAE metrics to assess prediction accuracy. The results show that SVR is capable of providing fairly accurate price predictions, with parameters C=1, gamma=0.1, and epsilon=0.1 producing the best performance, namely an MAE value of IDR 6,472,572, an RMSE of IDR 8,958,555, and a MAPE of 3.41%. Referring to the prediction accuracy category based on the MAPE value, where a MAPE value ≤ 10% is categorized as high accuracy, it can be concluded that this model has high prediction accuracy. This shows that the SVR model used is capable of estimating used car prices with a low error rate and good accuracy.
Rancang Bangun Sistem Inventori Berbasis Web Dengan Prediksi Penjualan Menggunakan Time Series Forecasting Rahmat, Ridwan; Tundjungsari, Vitri
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10575

Abstract

Effective inventory management is a crucial aspect of company operations to predict future stock requirements and product demand. This research aims to design and develop a web-based inventory system with sales prediction using Time Series Forecasting algorithms at CV Adio Loop Engineering. The development method used is waterfall with Long Short-Term Memory (LSTM) approach as a prediction model based on historical inventory transaction data. The system has comprehensive features including dashboard with information on total products, purchases, sales, categories, and suppliers; prediction module for selecting products and prediction types (demand/stock) with time estimation; master data for managing categories, products, and suppliers; transaction modules for purchasing, sales, and inventory; stock movement; low stock alerts; inventory reports; and human resource management with login/logout security system. All modules are equipped with complete CRUD functions. Test results show that the system is capable of providing accurate predictions and improving operational efficiency in inventory management and future stock requirement planning.
Aplikasi Manajemen Keuangan Pribadi Berbasis Mobile Menggunakan Framework Flutter Isnaeni, Tubagus Muchamad; Angraina Fitri, Diah; Musyarrofah, Ofah; Ilhammullah, Ilhammullah
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10602

Abstract

Personal financial management is a crucial aspect of maintaining individual financial stability. However, many people struggle to effectively record, manage, and monitor their income and expenses. This research aims to develop a mobile-based financial management application using the Flutter Framework, focusing on simple record-keeping (CRUD) features. It also features transaction categories, monthly summaries, and the user's final balance. This application is designed to help users easily record income and expenses, display a list of transactions, and allow for editing and deletion of data. With a minimalist approach, this application does not require an online connection, allowing it to be used offline and ensuring user data privacy. The database system used is SQLite, which is lightweight and suitable for mobile applications. The development method used is the Waterfall method, which includes requirements analysis, system design, implementation, testing, and maintenance. Test results show that this application is able to meet basic financial record-keeping needs with a simple and responsive interface. This application is expected to provide a practical solution for individuals seeking a simple financial management tool and serve as a foundation for the development of more complex features in the future.
Identifikasi Penyakit Daun Cabai Menggunakan Arsitektur DenseNet169 Setiarini, Putri Rizka; Oktariadi, Barry Ceasar; Siregar, Alda Cendekia
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10631

Abstract

Chili is a high-value agricultural commodity in Indonesia, but its production is often hindered by leaf diseases such as spots, curling, and yellowing. Early identification of these diseases is crucial to prevent significant yield losses. This study aims to develop an automated system for identifying chili leaf diseases using the DenseNet169 Deep Learning architecture, implemented via a web-based platform. The methodology includes data collection from Roboflow.com (3,610 images of chili leaves across four classes: spots, curling, yellowing, and healthy), data preprocessing, augmentation, model training, and evaluation. The results demonstrate that the DenseNet169 model achieves an accuracy of 98%, with consistent precision, recall, and *F1-score* values for each class. The model is integrated into a Flask-based web application, allowing users to upload images of chili leaves for disease prediction and treatment recommendations. This system is expected to assist farmers in early disease detection, thereby improving cultivation efficiency and reducing crop failure risks.
Penerapan Metode User Experience Questionnaire (UEQ) Sebagai Evaluasi User Experience Pada Aplikasi Kita Bestee Permana, M. Anton; Paisal, Irvan; Lattu, Arny
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10639

Abstract

User experience plays a crucial role in determining the success of a digital application, including the Kita Bestee application used by facilitator companions at PT Bank BTPN Syariah Tbk. This study aims to evaluate the user experience (UX) of the Kita Bestee application using the User Experience Questionnaire (UEQ), which covers six key dimensions: attractiveness, clarity, efficiency, accuracy, stimulation, and novelty. Using a quantitative approach, data were collected through questionnaires distributed to 75 active facilitators in Sukabumi City and Regency. The data were analyzed with the UEQ Data Analysis Tool version 12 and supported by validity and reliability testing using SPSS version 26. The results showed that clarity received the highest score of 0.88, followed by attractiveness (0.76) and stimulation (0.73), while efficiency and novelty scored lower and require improvement. Based on UEQ international benchmarks, most UX dimensions fall into the above average category but have not yet reached the excellent level. Overall, the findings indicate that the Kita Bestee application provides a fairly positive user experience, though enhancements are still needed, especially in terms of innovation and interface efficiency, and the study offers strategic recommendations to support future UX improvements.

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