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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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Rancang Bangun Aplikasi Android Pengenalan Pembelahan Sel Menggunakan Teknologi Augmented Reality Markerless Fatma Dwi Anisa; T. Yudi Hadiwandra
Computer Science and Information Technology Vol 5 No 3 (2024): 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.v5i3.7922

Abstract

Biology learning at SMA N 2 Pangkalan Kuras often requires practical sessions for several learning topics. However, the lack of a dedicated laboratory room and practical tools has led to the discontinuation of practical lessons. One of the topics that requires high visualization is cell division. This research aims to design and develop an Android application based on Augmented Reality (AR) using a markerless method as a practical medium for introducing the process of cell division. The markerless method is used so that the application can be used anywhere and anytime without relying on physical markers. This research utilizes the R&D method, and the application development follows the Multimedia Development Life Cycle (MDLC) method. The markerless AR-based cell division Android application system uses C# programming language and applies the Simultaneous Localization and Mapping (SLAM) algorithm. The application testing follows the ISO 25010 standard, consisting of functional suitability aspects, which achieved a result of 100%. The compatibility test also received a score of 100% for each smartphone that installed, ran, and uninstalled the application. The performance efficiency test shows that the camera system is capable of detecting flat surfaces such as tables, walls, and floors, while the average response time test revealed that the highest response speed was achieved on the latest Android types with larger RAM. The user experience received an "excellent" rating.
Implementasi Healthy Building Berbasis Internet of Things pada Taman Kanak-kanak Al Baraakah, RA Kreatif Kusumaningrum, Evy; Sumarsono, Sumarsono; Setiawan, Chanief Budi; Hariyadi, Dedy
Computer Science and Information Technology Vol 5 No 3 (2024): 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.v5i3.8093

Abstract

The limited availability of air quality sensors leads to potential exposure to pollution that poses health risks. Monitoring of crucial clean air indicators, such as ISPU standards and emission requirements, as well as management of important aspects of healthy buildings such as ventilation, temperature, humidity, and security, are also inadequate. As a solution, this article proposes the development of an Internet of Things (IoT)-based smart school that utilizes advanced sensor technology to monitor and manage the condition of the educational environment in accordance with the healthy building foundation proposed by the Harvard T.H. Chan School of Public Health. With the integration of Tuya-based sensors and the use of HomeAssistant platform for automation, the implementation of this system in educational institutions such as TK Al Baraakah, RA Kreatif successfully created a healthier environment. As a result, better building conditions are achieved through real-time monitoring of vital parameters, forming a structured approach to creating safer and more comfortable schools for students and faculty. Monitoring and management can be shown on the Dashboard of the HomeAssistant platform.
Perbandingan Metode Learning Vector Quantization Dan Backpropagation Dalam Klasifikasi Personality Pada Anak Novita, Rita; Sujana, Teguh; Agusviyanda, Agusviyanda; Fitri, Triyani Arita; Susanti, Susanti
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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Abstract

This research focuses on classifying children's personalities at Rumah Bermain Bilal using Artificial Neural Network algorithms, specifically Learning Vector Quantization (LVQ) and Backpropagation. The primary objective of this study is to evaluate the effectiveness of these algorithms in categorizing children's personality data and to identify the most accurate method for educational settings. The experiments were conducted with various configurations, including the number of iterations and learning rate, to assess the performance of each algorithm comprehensively. The findings show that the LVQ method demonstrates higher accuracy than Backpropagation. For training data, LVQ achieved an accuracy of 73.47%, whereas Backpropagation reached only 40.82%. For test data, LVQ achieved an accuracy of 84.62%, significantly outperforming Backpropagation's 53.85%. These results indicate that LVQ is more effective in personality classification, especially in an educational context. It is hoped that these findings will assist educational institutions in implementing artificial intelligence-based methods to understand children's personality traits better, thereby supporting the development of more targeted teaching strategies.
Sistem pendukung keputusan untuk evaluasi kinerja pegawai honorer dengan metode weighted product Lia, Lia Umbari Putri; Yesputra, Rolly
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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Abstract

Evaluating the performance of contractual employees is a crucial step to ensure operational effectiveness and efficiency within government institutions, including at the Wali Nagari Binjai Office. However, manual evaluation processes often face challenges such as subjectivity and inaccuracy. This study aims to develop a Decision Support System (DSS) based on the Weighted Product (WP) method to provide an objective and transparent solution for evaluating the performance of contractual employees. The WP method was selected for its capability to process multi-criteria data by considering the weights of relevant criteria, such as work discipline, productivity, and attendance. The web-based system automates the calculation of preference values for each employee, simplifying the management process of identifying top performers efficiently. System testing results indicate that this approach produces more accurate evaluations compared to manual methods, with an accuracy rate of up to 90% based on historical data. Additionally, the system is user-friendly and can be integrated with other management processes. This study not only provides practical contributions to the Wali Nagari Binjai Office but also offers a model that can be adapted by other government institutions.
Analisis Perbandingan Model Fully Connected Neural Networks (FCNN) dan TabNet Untuk Klasifikasi Perawatan Pasien Pada Data Tabular Ismanto, Edi; Abdul Fadlil; Anton Yudhana
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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Abstract

Electronic Health Records (EHR) store tabular data that is rich in information and play a critical role in supporting decision-making within the healthcare field, particularly for patient care classification. This study evaluates the performance of two artificial intelligence models, Fully Connected Neural Networks (FCNN) and TabNet, in processing tabular data for patient care classification tasks. The findings reveal that both models demonstrate strong performance, with TabNet showing a slight advantage. TabNet achieves an accuracy of 0.74, marginally surpassing FCNN's 0.73. Furthermore, TabNet excels in precision (0.74 vs. 0.72), recall (0.72 vs. 0.71), and F1-Score (0.73 vs. 0.71), highlighting its greater reliability in minimizing false positives and accurately detecting positive cases with a better balance between precision and recall. With its architecture specifically tailored for tabular data and its capacity for direct interpretability, TabNet offers enhanced efficiency and ease of implementation compared to FCNN, which demands more complex data preprocessing. For future research, it is suggested to employ larger and more diverse datasets, explore data with higher feature complexity, and conduct comprehensive hyperparameter tuning to further improve the performance of both models.
Perancangan sistem informasi manajemen persediaan barang untuk usaha Mikro kecil dan menengah (UMKM) : Studi kasus pada toko arkhan jaya Rizka Hafsari; Andika Pratama
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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Abstract

In the current digitalization era and the increasing demand for efficiency, flexibility is a crucial aspect for the continuity of Small and Medium Enterprises (UMKM) in Indonesia. This research aims to design a more effective and efficient inventory management system for Arkhan Jaya, a UMKM in Indonesia. The system is expected to assist the management in reducing human errors, increasing productivity, and improving the accuracy of inventory information. The waterfall research methodology is used, which includes system requirements analysis, system architecture design, data technology design, system testing, and maintenance.During the analysis phase, specific needs of Toko Arkhan Jaya are identified to ensure that the developed system is suitable. The design phase produces a system architecture that includes a database, user interface, and functional modules. The design phase involves coding the main modules, system configuration, and user training. Testing is carried out to ensure that the system functions according to specifications, focusing on inventory management, purchasing, and sales processes.The research findings indicate that the designed information system can increase inventory management efficiency, enable quick and accurate decision-making, and provide accurate and real-time inventory information. This research contributes to improving inventory management in UMKMs.
Smart Technology of CO2 Monitoring as Prevention of Acute Respiratory Infection Disease Using Artificial Intelligence Algorithm Muhammad Shodiq; Agus Priyono; M. Cahyo Kriswantoro3
Computer Science and Information Technology Vol 5 No 3 (2024): 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.v5i3.7709

Abstract

Air pollution is a serious environmental problem that can affect human health because it contains toxic gases, one of which is carbon dioxide (CO2). This toxic gas can cause Acute Respiratory Infection (ARI). ARI is an acute infection of the respiratory tract that can cause death. One effort to prevent ARI is to monitor CO2 gas as a trigger for ARI. This study develops intelligent technology for monitoring CO2 concentration using a rule-based artificial intelligence algorithm by utilizing Internet of Things technology integrated with telegrams to provide warnings. Rule-based systems are part of artificial intelligence that have advantages and limitations that need to be considered before deciding whether it is the right technique to use in solving existing problems. This study uses daily data taken by CO2 gas sensors from 07.00 - 16.15 WIB with a data collection range of 15 minutes with a total of 38 data samples taken. The results of the study show that this rule-based algorithm is able to classify CO2 concentrations according to the rules that have been made. In addition, from the data taken, 42% are in the safe category, 50% are in the alert category and 8% are in the danger category, each of which has an effect on health. The system that was built can also send danger notifications via telegram
Pengembangan Mobile Sandbox Berbasis Cyberdeck Untuk Pengujian Keamanan Pada Ponsel Android Menggunakan DNS Proxy dan Port Mirroring Hariyadi, Dedy; Rosid , Ibnu Abdul; Dewi , Grita Supriyanto
Computer Science and Information Technology Vol 5 No 3 (2024): 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.v5i3.7763

Abstract

The increase in internet usage in Indonesia has an impact in the form of potential cyber attacks such as malvertising, which is inserting malicious code or malware into advertisements when accessing the internet. In addition to malvertising, other malware activities are also detected in Badan Siber dan Sandi Negara (BSSN) malicious traffic monitoring system. The increase in internet access in Indonesia is also influenced by the growth of smartphone users who are always connected to the internet. The connection of digital devices such as smartphones requires testing of their activities. This study proposes testing the security of internet access on smartphones using the sandbox method. To facilitate testing, a cyberdeck-based mobile sandbox with integrated sensors was developed. The sensors used are malvertising sensors and anomalous traffic. Based on testing of mobile phone activity using the mobile sandbox, smartphones with the vanilla version of the Android operating system have fewer malvertising attacks than those operating systems that have been redeveloped by manufacturers. Although the malvertising attacks are the lowest, they have the potential for anomalous traffic caused by internet access by users or the installation of additional applications.
Analisis Dan Pemodelan Proses Bisnis Menggunakan UML Untuk Mengidentifikasi Sistem RPL Politeknik Kampar Kurnia Oktarina, Fenty; Fina Nasari
Computer Science and Information Technology Vol 5 No 3 (2024): 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.v5i3.7951

Abstract

Rekognisi Pembelajaran Lampau (RPL) merupakan sebuah proses untuk memberikan pengakuan atas capaian pembelajaran seseorang yang diperoleh dari pendidikan formal maupun nonformal atau pengelamaan kerja sebagai dasar untuk melanjutkan pendidikan formal kemudian dilakukan penyetaraan dengan jenjang Kerangka Kualifikasi Nasional Indonesia tertentu. Dalam proses pendaftaran dan penilaian RPL, dibutuhkan banyak dokumen yang digunakan sebagai bukti kompetensi yang dikuasai. Dokumen-dokumen tersebut akan menjadi dasar penilaian untuk mendapatkan pengakuan mata kuliah. Agar proses pendaftaran dan penilaian berjalan efektif dan efisien, diperlukan pengembangan sebuah sistem yang bisa memudahkan manajemen pengarsipan yang baik sehingga dokumen tetap tersedia dan diakses oleh tim penilai. Tujuan penelitian ini adalah menganalisa dan memodelkan proses bisnis yang terjadi untuk mengidentifikasi kebutuhan sistem RPL tersebut. Metode yang digunakan dalam proses analisa tersebut menggunakan Rapid Application Development dan pemodelan hasil analisa menggunakan UML. Hasil dari penelitian ini merupakan pemodelan UML dalam bentuk Diagram Use Case, Diagram aktivitas dan Diagram Sequence.
Perencanaan Strategi SI/TI Pada Aplikasi Dana Menggunakan Metode SWOT Dan Perbandingan AHP Aldiansyah Fathul Majid; Mochamad Bagus Okta Eka Pramuditya; Prind Triajeng Pungkasanti
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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Abstract

This research evaluates user satisfaction with the Dana application using a combination of two methods: SWOT analysis and utilizing one of the decision support system (DSS) methods using the Analytical Hierarchy Process (AHP) method. The SWOT method consists of strengths, weaknesses, opportunities, and threats. (Threats). The purpose of this research is to make the Dana application much better in the future. The main findings indicate that the majority of users show positive satisfaction with the service, supported by the highest rating in the Opportunities criterion in the SWOT analysis with a score of 2.329. This describes the potential of the Dana application to excel and grow in competition with competitors. In the context of AHP method evaluation, three main criteria were evaluated: application appearance, application features, and bank transfer on the Dana application. The evaluation of the application appearance yielded a score of 2.10 and an average rating of 3.16, indicating that most users are satisfied with the application interface. However, there is potential to improve the appearance aspect to better align with user preferences and needs. The application features received a score of 2.32 and an average rating of 3.02. These results show that most users are satisfied with the variety of features offered by the Dana application. Nevertheless, there is potential for improvement in certain features, and a deep understanding of user needs could be a primary focus to enhance customer satisfaction in this aspect. Bank transfer on the Dana application received a score of 2.35 with an average rating of 3.48. Overall, this research provides an understanding of customer satisfaction criteria on the Dana application and serves as a basis for developers to focus on further improvements and developments to achieve optimal satisfaction levels.

Page 26 of 36 | Total Record : 358

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