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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 29 Documents
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Search results for , issue "Vol 6 No 2 (2025): Jurnal Computer Science and Information Technology (CoSciTech)" : 29 Documents clear
KLASIFIKASI JENIS TANAMAN ALPUKAT BERDASARKAN BENTUK DAUN MENGGUNAKAN ALGORITMA CNN Pratama, Agum; Tito Sugiharto; Panji Novantara
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9474

Abstract

The avocado plants is a popular horticultural commodities in Indonesia, especially in Java, due to their health benefits and high economic value. However, differences in leaf shape across avocado varieties often make identification difficult for both buyers and sellers, which can lead to transaction errors and losses. Manual identification requires specialised skills that are not always available, especially in areas such as Kuningan Regency. To answer these problems, this research aims to develop an Android-based application that is able to classify avocado varieties, namely alligator, kendil, and butter, based on leaf images automatically. This application uses Convolutional Neural Network (CNN) algorithm with SSDMobileNetV2 FPNLite pre-trained model implemented through TensorFlow framework. The dataset used consists of 4,800 avocado leaf images divided for training, validation, and testing processes. The test results show that the model is able to achieve an accuracy rate of 99%. For the alligator class, the precision and recall values were 1.00 and 0.98 respectively; for the kendil class, 1.00 and 0.99; and for the butter class, 0.99 and 1.00. These findings prove that the CNN algorithm is effective in classifying avocado varieties based on visual characteristics of the leaves. Thus, this application has the potential to become a fast, accurate, and practical tool in the process of identifying avocado varieties, both for commercial and educational purposes.
Rancang Bangun Sistem Informasi Pimpinan Daerah 114 Tapak Suci Putera Muhammadiyah Pekanbaru Menggunakan Model Waterfall Pratama Yudha, Muhammad Ryan; Rahmad Al Rian; Melly Novalia
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9548

Abstract

In Tapak Suci, particularly in the Pekanbaru region, the organizational leadership structure in Indonesia comprises four levels: the school (perguruan), branch leadership (pimpinan cabang), regional leadership (pimpinan daerah), provincial leadership (pimpinan wilayah), and central leadership (pimpinan pusat). Currently, the management of member data, ranking data, and other related information is still conducted manually. This process is often time-consuming, inaccurate, and difficult to retrieve. Consequently, the organization's management faces challenges in obtaining fast and accurate information to support decision-making. Furthermore, manual data management is prone to human error and data loss.Information system technology offers a potential solution to these challenges. This research uses a Research and Development (R&D) methodology by using an integrated information system to enable more efficient, accurate, and structured data and information management. The development process adheres to the Waterfall paradigm, which comprises the phases of system design and requirement analysis., coding, testing, and system maintenance.The result of this research is a web-based information system for managing the activities of 114 Regional Leaderships (Pimpinan Daerah) of Putera Muhammadiyah. This data management system is designed for two types of users: PIMDA administrators and Branch administrators. The information system is expected to improve the efficiency of organizational management.
Implementasi Algoritma XGBoost Untuk Prediksi Capaian Bulanan Pendapatan Daerah Kota Bandung Marchanda Izzati, Puteri; Fitriyani
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9578

Abstract

Abstract Local Own-Source Revenue (PAD) is a key pillar in financing regional development. In Bandung City, discrepancies between revenue targets and actual realization remain a challenge to effective fiscal planning. This study aims to develop a predictive model for monthly PAD achievement using the XGBoost algorithm, known for its strength in handling non-linear and complex data. The dataset, obtained from the Bandung Revenue Agency (Bapenda), includes various types of regional taxes from 2018 to 2024. The research process involved data cleaning, feature engineering, data splitting, model training, and performance evaluation using MAE, RMSE, and R² metrics. The evaluation on test data resulted in MAE of IDR 5.6 billion, RMSE of IDR 9.3 billion, and R² of 73%. Meanwhile, 5-fold cross-validation yielded MAE of IDR 3.49 billion, RMSE of IDR 6.65 billion, and R² of 86%. These results demonstrate high accuracy and generalization capability. XGBoost proves to be a reliable decision-support tool for data-driven fiscal planning.
Jurnal Rancang Bangun Sistem Informasi Reseller Dengan Pendekatan Customer Relationship Management Berbasis Web Ruri Mutiara Ayuni; Nugraha, Nugraha; Anggun Fergina
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9621

Abstract

This study aims to design and implement a web-based reseller information system at Mutiara Cell with a Customer Relationship Management (CRM) approach to answer the needs of digital transformation in improving operational efficiency and managing business relationships. Mutiara Cell is a company that distributes electric credit and digital products that involves many reseller partners, but still faces obstacles in recording transactions, managing data, and reporting finances that are done manually. The system developed is designed to facilitate administrators and resellers in ordering products, uploading proof of payment, managing bills, and reporting sales digitally and in an integrated manner. The development uses a waterfall model with stages of needs analysis, design, implementation, and testing, and uses PHP Native as a programming language and Black Box Testing to ensure system functionality. The results show an increase in operational efficiency, data access speed, and accuracy in transaction management. In addition, the user-friendly interface supports convenience in accessing services, and the CRM approach has been proven to strengthen business relations and increase partner loyalty. This system is considered feasible to use and is a long-term digital solution in supporting operational activities and managing relationships with resellers more professionally.
Jurnal Pemanfaatan Tongkat Berbasis IoT dan Yolo V3 Untuk Meningkatkan Mobilitas dan Keamanan Penyandang Tunanetra Dava, Dava Febrian; Kamdan; Alamsyah, Zaenal
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9793

Abstract

Visually impaired individuals face significant challenges in mobility and safety during daily activities, especially in public spaces that are not disability-friendly. Conventional white canes are limited in their ability to detect obstacles. This study aims to design and implement a smart cane based on the Internet of Things (IoT) and the real-time object detection algorithm YOLO V3 to enhance the mobility and safety of visually impaired users. The developed system utilizes ultrasonic sensors to detect obstacles on the left and right sides of the user, a GPS module for real-time location tracking via a web server, and an ESP32-CAM integrated with YOLO V3 to detect objects such as vehicles, holes, and people. Information is conveyed to the user through voice alerts using a DFPlayer Mini and is also displayed on an LCD and a web interface. Test results show that the system operates accurately, with an average sensor error rate of only 0.12%, and all components function properly. Usability testing involving 50 respondents indicates a very high level of user satisfaction, with average agreement rates exceeding 85%. This research demonstrates that the integration of IoT and computer vision can produce a smart, responsive, and user-friendly assistive device for the visually impaired.
Implementasi Metode Prototype dalam Pengembangan Sistem Informasi Inventaris Obat di Apotek Syira Farma. Setia Gunawan, Vicky; Muhammad, Muhammad; Maria, Sinta
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9652

Abstract

Apotek Syira Farma merupakan sebuah entitas bisnis yang berdedikasi dalam penjualan serta penyediaan berbagai jenis obat-obatan untuk memenuhi kebutuhan kesehatan masyarakat. Apotek ini berperan penting sebagai salah satu fasilitas kesehatan primer yang menyediakan akses mudah terhadap produk farmasi yang aman dan berkualitas. Saat ini, Apotek Syira Farma masih mengandalkan sistem persediaan manual. Artinya, setiap hari para pegawai mencatat seluruh transaksi penjualan dan setiap pemasukan stok barang dari pemasok langsung ke dalam buku laporan persediaan. Kemudian, pimpinan apotek akan memeriksa laporan manual ini secara rutin setiap harinya untuk memantau pergerakan stok. Namun, sistem manual ini jauh dari kata efektif dan efisien. Pengelolaan persediaan secara manual sangat rentan terhadap berbagai kesalahan. Seringkali, terjadi ketidaksesuaian antara data yang tercatat dengan kondisi fisik barang, baik itu kesalahan pencatatan barang masuk, barang keluar, hingga barang kedaluwarsa yang luput dari pendataan. Akibatnya, pimpinan apotek sering kesulitan saat mencoba mencocokkan data persediaan di buku dengan jumlah barang riil yang ada di rak, sehingga proses pengambilan keputusan pun jadi terhambat. Oleh karena itu, sistem inventaris dirancang untuk mengatasi permasalahan tersebut, dengan harapan dapat membantu Apotek Syira Farma mengelola data persediaan secara lebih cepat dan akurat. Penerapan sistem informasi ini memiliki beberapa tujuan utama: meningkatkan kinerja pegawai dalam mengelola stok obat, mempermudah proses rekapitulasi data penjualan, serta memudahkan pimpinan dalam memantau dan menganalisis laporan penjualan dengan lebih tepat dan real-time.
Optimasi Metode Certainty Factor Menggunakan Rank Order Centroid Pada Sistem Pakar Pendeteksi Turnover Intention Berbasis WEB Muhammad Maulana Akbar; Moh. Dasuki; Miftahur Rahman
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9869

Abstract

Turnover intention, or the tendency of employees to resign, poses a significant challenge for companies—especially when dealing with Generation Z, who tend to have lower job commitment and are more likely to switch jobs. This study aims to develop a web-based expert system to detect the level of employee turnover intention by integrating the Certainty Factor (CF) and Rank Order Centroid (ROC) methods. The CF method is used to handle uncertainty in questionnaire assessments, while ROC is implemented to optimize the weights among aspects, namely Thinking of Quitting, Intention to Search for Alternatives, and Intention to Quit. The system is built based on 36 questionnaire statements and tested on 34 respondents. The results show that the system provides more proportional and realistic interpretations compared to the non-optimized approach. Accuracy testing indicates that 27 out of 34 system results match manual assessments, yielding an accuracy rate of 79.41%. These findings suggest that the system performs reliably and can serve as a practical tool for the early detection of turnover intention in the workplace.
Peramalan Harga Emas Berbasis Time Series Menggunakan Arsitektur LSTM Deep Learning Diva Arifal Adha; Adam Ramadhan; Habil Maulana; Patlan Putra Humala Harahap; Edi Ismanto
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9980

Abstract

Gold is one of the most influential commodities in the global economy. Its high price volatility poses a significant challenge for investors, financial analysts, and policymakers in formulating effective strategies and making accurate decisions. Therefore, an accurate prediction method is needed to forecast future gold price movements. This study aims to forecast gold prices using a deep learning approach with the Long Short-Term Memory (LSTM) algorithm. The LSTM model is capable of learning long-term dependencies in time-series data, making it highly suitable for modeling complex and dynamic financial data. The data used in this study consists of daily historical gold prices obtained from reliable sources. A preprocessing phase was carried out to clean and normalize the data before training the model. Furthermore, this study compares the performance of the LSTM model with the Multilayer Perceptron (MLP) model to examine differences in prediction accuracy. Evaluation metrics such as Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) were used to assess model performance. The results show that the LSTM model provides more accurate predictions compared to MLP, with lower error values and better model stability. In conclusion, the deep learning approach, particularly the LSTM model, can serve as an effective alternative for gold price forecasting and support data-driven decision-making in the financial sector.
Sistem Pendukung Keputusan Untuk Pemilihan Mahasiswa Terbaik di Fakultas Sains dan Teknologi Universitas Muhammadiyah Kalimantan Timur Menggunakan Metode AHP: Desain Sistem, Penentuan Kriteria dan Alternatif, Analytic Hierarchy Process (AHP), Validasi Sistem, Kriteria dan Alternatif yang Digunakan, Perhitungan Nilai Eigen, Perhitungan Nilai Konsisten Ratio, Hasil Perangkingan, Implementasi Dalam Sistem Pendukung Keputusan Boy, Fachri
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.9999

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh pemilihan mahasiswa terbaik pada Fakultas Sains dan Teknologi. Pemilihan mahasiswa terbaik dapat dinilai berdasarkan IPK. Untuk membantu pihak universitas dalam menentukan mahasiswa terbaik, maka dibuatlah Sistem Pendukung Keputusan dengan menggunakan kriteria IPK, TOEFL, LIFE SKILLS, dan MENGAJI dengan menggunakan metode AHP. Metode ini digunakan karena salah satu kemungkinan penyelesaian dari permasalahan tidak terstruktur. Hasil dari penentuan ini adalah mahasiswa dengan predikat tertinggi merupakan mahasiswa dengan lulusan terbaik. Objek penelitian ini adalah Fakultas Sains dan Teknologi di Universitas Muhammadiyah Kalimantan Timur. Jenis penelitian ini adalah penelitian kuantitatif. Populasi dalam penelitian ini adalah nama-nama mahasiswa yang lulus dalam dua tahun terakhir dari tahun 2021-2022 sampai dengan tahun 2022-2023 di Fakultas Sains dan Teknologi. Sampel penelitian dipilih dengan menggunakan Analytic Hierarchy Process. Penelitian ini menggunakan data sekunder yang diperoleh dalam penelitian ini melalui data MKDU dan Program Studi Bahasa Inggris.
PAPER Perancangan Sistem Informasi Ticket Bookin Online Travel Umrah Studi Kasus PT.Sukkari Halal Tour: PAPER Perancangan Sistem Informasi Ticket Bookin Online Travel Umrah Studi Kasus PT.Sukkari Halal Tour raja, abrar; Elsi Titasari Br Bangun
Computer Science and Information Technology Vol 6 No 2 (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.v6i2.10006

Abstract

This study focus to design an online umrah ticket booking information system of PT.Sukkari Halal Tour to enhance service efficiency and information transparency. The Prototype method was employed, covering stages such as requirement gathering, prototype development, evaluation, coding, testing, and implementation. The result include the design of a use case diagram, activity diagram, sequence diagram, and class diagram, which comprehensively illustrate the system flow. The system accomondates two actor: pilgrims and administrator with features like online registration, document verification, digital payment, and travel packages management. The research concludes that this system simplifies administrative processes and improves user experience.

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