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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 24 Documents
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Search results for , issue "Vol 5 No 2 (2024): Jurnal Computer Science and Information Technology (CoSciTech)" : 24 Documents clear
Sistem Absensi Mapel Lintas Minat SMAN 1 Cigombong Menggunakan Face Recognition Berbasis Web Lucia Kharisma, Ivana; Sahira, Sarah; Nurcahya Sumirat, Hana; Fergina, Anggun; Kamdan, Kamdan
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.5500

Abstract

SMAN 1 Cigombong is a high school located on Watesjaya Street, Cigombong District, Bogor Regency, West Java, which currently still follows the KURTILAS curriculum. The student attendance system in SMAN 1 Cigombong for the English and German Language Minors is still using a manual attendance book where students sign the attendance form. This method has weaknesses such as the ease of losing or damaging the attendance book, as well as the potential for students to manipulate the attendance records. Therefore, the author proposes the implementation of a face recognition attendance system to assist in the attendance data recording process, simplify attendance tracking for teachers, and facilitate the school's management information system. The development method used for the attendance system is the waterfall method, which involves analysis, design, coding, testing, and support stages. In face recognition, the author utilizes face landmarks to store students' facial data in a database. Meanwhile, in the data collection process, several methods are used, including interviews, observations, and literature reviews.
Rancang Bangun Sistem Informasi Pendataan Anggota Sekolah Minggu Gereja Toraja Klasis Walenrang Timur Berbasis Web Novela Mangiding, Novela; Solmin Paembonan; Dasril
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.6320

Abstract

This research aims to design and build a web-based information system for data collection on members of the East Walenrang Toraja Church Sunday School. The research method used is the waterfall method. Data collection techniques used literature, interviews and observation. The design of a web-based information system for data collection on members of the East Walenrang Toraja Church Sunday School class was designed using the UML modeling language. The system was created using the PHP programming language, the Laravel Framework as data processing, HTML as the website display design and MySQL database as the data storage medium. The design of a web-based information system for data collection on members of the East Walenrang Toraja Church Sunday School was tested using Black Box testing to obtain an information system that worked well. Meanwhile, the results of usability testing are that this system is suitable for use.
Implementasi Metode Fuzzy Tsukamoto Untuk Memprediksi Besarnya Pemakaian Listrik Rumah Tangga Tempola, Firman; Sujabtri Kabau, Haan; Fuad, Achmad; Rosihan; Lutfi, Salkin
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.6682

Abstract

Many people are still confused about ordering the voltage level for electricity use in newly built homes, so that for households that previously needed a voltage of 900 VA, it was sufficient but used 1300 VA and vice versa, if the use of a large voltage of 900 VA is not in accordance with the number of customers' needs, then there will be a disturbance in the balance between the amount of voltage used and customer needs, but by applying the fuzzy method this can be predicted. The aim of this research is to predict the voltage of household electricity usage using the fuzzy Tsukamoto method. This method was chosen because it is flexible, and has tolerance for existing data and also has the advantages of being faster in computing, more intuitive, and also produces accurate prediction values. The results of implementing the fuzzy Tsukamoto method were tested for accuracy using the Mean Absolute Percentage Error (MAPE) method. The first test used 20 data as test data and the second test used 30 test data, so that the results obtained from the first test were 8.35% and the second test was 11.77%. Based on the table of capability values of the MAPE method forecasting model, the results of implementing the fuzzy Tsukamoto method can be used to predict the amount of household electricity usage with a percentage value < 20%, which is a good forecasting model capability.
Studi Literatur Penerapan Clustering Data Numerik Untuk Sistem Rekomendasi Berbasis Collaborative Filtering Ifada, Noor; Pratama, Rizki Ashuri
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.7087

Abstract

The recommendation system assists users in finding items that match their preferences from the large number of items that exist. Recommendation systems have two types of approaches: a content-based approach and a Collaborative Filtering (CF) approach. CF approaches can be categorized into model-based and memory-based CF. The problem faced in the CF method is the complexity or long computation time due to the large data dimensions, data sparsity, and accuracy. In overcoming the problems mentioned, several data mining and machine learning techniques are used in collaboration with traditional CF methods. Many studies are using numerical data clustering techniques on CF-based recommendation systems. However, to date, there is still no literature review regarding the implementation of clustering techniques to numerical data to develop recommendation system methods based on the CF approach. Therefore, a literature study was carried out regarding the implementation of clustering techniques to numerical data to develop recommendation system methods based on the CF approach using 20 related literature. As a result, the various clustering techniques used can be grouped into K-Means, Subspace Clustering, Bi-Clustering, Canopy Clustering, K-Medoids, Evolutionary Heterogeneous Clustering, Fuzzy, Self-Constructing Clustering (SCC), and Agglomerative Hierarchical Clustering (AHC). K-Means and Fuzzy clustering techniques are the most commonly found in the literature.
Perancangan antarmuka aplikasi foodCare menggunakan metode user centered design Putro Setyoko
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.7117

Abstract

Sustainable Development Goals (SDGs) is a global development plan that aims to eradicate poverty, reduce inequality and preserve the environment. FoodCare application design solutions or Mobile-based free food sharing applications are rare, although they only existed about a few years ago. The development of foodCare application design solutions generally focuses on the role of users or donors. The purpose of developing a foodCare app design solution is to help donors who want to voluntarily donate their excess food. Application usability is an important component of the application, which indicates how easy it is for users to use it. For this reason, this research was conducted to design the application interface in terms of user needs. The method used is User Centered Design (UCD) while the usability measurement uses the System Usability Scale (SUS) involving 14 respondents. The results of measuring the usability of foodCare using SUS are 85.35 with the Best Imaginable rating and are in grade A. These results indicate that designing foodCare application design solutions with the User Centered Design method can present a new solution that can help meet the needs of users.
Perancangan dan Pembuatan Aplikasi Permainan Edukasi Mathventure Quest Berbasis Android Trianto, Edwin Meinardi; Ariel Kristianto; Ivan Leonardi Candra; Timothy John Pattiasina; Titasari Rahmawati
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.7211

Abstract

Mathematics can be said to be a mandatory subject from elementary school to college or higher education whose function is used to this day. Mathematics lessons are sometimes considered quite difficult subjects by students at school because mathematics is always related to formulas, calculations and numbers. Games are defined as activities that relieve boredom and fill free time. Games can also increase the level of intelligence, increase knowledge and solve problems easily. The author was inspired to create or design an educational game application with a mathematics theme entitled Mathventure Quest using Android-based Unity Engine software. In this game there are enemies that must be fought to move to the next place. The way to fight these enemies is to answer the questions given by the application. If the player can answer, the enemy will lose and move on to the next place. This educational game can help educate and attract the attention of elementary school students with mathematics lessons which can also be a medium of entertainment for elementary school students.
Sistem Pendukung Keputusan Pemilihan Makanan Balita Menggunakan Metode Weighted Product Berbasis Android Mufreni, Sadr Lufti; Arizona Firdonsyah; Sabrina Khusnul Khotimah
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.7240

Abstract

Parents often find it challenging to choose the right foods that meet their toddlers' nutritional needs. Nutritional requirements are crucial during the growth and development phase of toddlers. Ensuring toddlers get proper nutrition is vital for their growth. Selecting the wrong foods can lead to insufficient nutrition, which could hinder their growth and development. This research aimed to develop an Android-based decision support system for selecting toddler foods and making it easier for parents to choose the right foods for their toddlers. This research employed the Weighted Product method, based on six criteria: carbohydrates, protein, fat, vitamin A, iron, and zinc. The data were collected by reviewing literature, conducting field studies, and using the System Development Life Cycle (SDLC) waterfall model for system development. The results rank forty different types of food, with fried shrimp being the top-ranked option. The accuracy of the Weighted Product method is calculated to be 100%.
Implementasi Deteksi Langsung Pada Sistem Ujian Online Menggunakan Algoritma Convolutional Neural Network Putri Iskandar, Alyanissa; Muhammad Ikhsan Thohir; Ivana Lucia Kharisma; Kamdan; Anggun Fergina
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.7270

Abstract

Pendidikan adalah fondasi penting dalam pembentukan potensi manusia, dan pergeseran ke arah ujian online menandai transformasi besar dalam cara kita menilai dan mengukur pencapaian akademik. Dengan kemajuan teknologi, penggunaan sistem proctoring dengan teknologi pengenal wajah merupakan langkah progresif untuk menjaga integritas ujian. Namun, peralihan ke ujian online juga membawa tantangan tersendiri, karena kecurangan, identitas ganda, dan kurangnya pengawasan dapat mengurangi kepercayaan terhadap hasil ujian. Oleh karena itu, pengembangan sistem pengawasan yang handal dan efektif sangat penting untuk menjaga standar akademik. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pengawasan ujian online yang memanfaatkan teknologi pengenalan wajah. Proctoring ujian secara daring diperlukan untuk memastikan validitas dan keamanan ujian. Sistem yang diusulkan mengimplementasikan algoritma pendeteksi pergerakan peserta selama ujian berlangsung yang diperkuat dengan algoritma Convolutional Neural Network (CNN) untuk memonitoring perilaku selama ujian berlangsung, dan mendeteksi tindakan yang mencurigakan. Hasil dari penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan integritas ujian online, mendorong adopsi teknologi proctoring, dan memberikan solusi yang efektif bagi institusi pendidikan yang menghadapi tantangan terkait keamanan ujian online. Dimana sistem dibangun dengan menggunakan bahasa python dan framework Laravel untuk bahasa pemrograman dan MySQL untuk DBMS-nya.
Pengembangan Sistem Internet Of Things (IOT) dengan LoRa (Long Range) dan Energi Surya untuk Deteksi Otomatis Kebakaran Hutan dan Lahan ijra, Zul Ijra Saryendy; Unik, Mitra
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.7360

Abstract

Forest and land fires in Riau Province are a serious problem and can cause losses to humans and nature. It is necessary to design an Internet of Things (IoT)-based land and forest fire detection device using an independent power supply energy source. This device is equipped with DHT11 temperature sensor, MQ2 smoke sensor, and flame sensor, as well as LoRa SX276 module as data transmission media. The system utilizes IoT technology to monitor real-time environmental conditions and provide a quick response to potential fires. A standalone power supply energy source is implemented to increase the independence of the device, so that it can operate effectively in emergency situations. The LoRa SX276 module is used as a data transmission medium to enable remote communication and ensure device connectivity with the control center. Device testing was conducted through simulated fire scenarios to evaluate its performance in detecting high temperature, smoke, and fire, as well as the reliability of data transmission over the LoRa network. The results show that the device successfully detects fires with a high level of reliability and is able to transmit data efficiently over the LoRa network. The contribution of this research is the provision of an advanced and reliable fire detection solution using IoT technology and self-sustaining energy sources, with the ability to transmit data over long distances via LoRa modules.
Implementasi Metode Forward Chaining Dan Case Based Reasoning (CBR) Pada Sistem Pakar Diagnosa Penyakit Tanaman Padi (Oryza Sativa.L) Berbasis Web -, Cut Agusniar
Computer Science and Information Technology Vol 5 No 2 (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.v5i2.7361

Abstract

Rice is a plant that is very important for human survival, so this plant is widely cultivated in almost all regions of Indonesia. One of the obstacles in rice farming is pests and diseases that attack rice plants. However, rice farmers' knowledge about rice pests and diseases and their control is still lacking, especially for novice farmers. On the other hand, the number of instructors/experts regarding rice pests and diseases is still limited. Therefore, an expert system is needed which can be a problem solver in identifying pests and diseases of rice plants. In expert systems there are several methods that can be used, including the forward chaining method and case based reasoning (CBR). These two methods were chosen because they can solve problems easily, quickly and precisely. The greater the knowledge stored in the system, the more skilled the system becomes at finding a solution to a case. The result of this research is a website-based expert system using forward chaining and case based reasoning methods. The research used 10 types of rice diseases with 32 symptoms and tested the system using 20 test data resulting in an accuracy value of 95%, so that this system was declared able to be used to diagnose rice plant diseases.

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