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Deny Zainal Arifin
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Jurusan Teknik Informatika Fakultas Sains dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang Jalan Gajayana 50 Malang, Jawa Timur, Indonesia 65144
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MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)
Published by Universitas Islam Negeri Maulana Malik Ibrahim Malang
ISSN : 1978161X     EISSN : 24772550     DOI : https://doi.org/10.18860/mat
Core Subject : Science,
Computer Science & IT
MATICS is a scientific publication for widespread research and criticism topics in Computer Science and Information Technology. The journal is published twice a year, in March and September by Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia. The journal publishes two regular issues per year in the following areas : Algorithms and Complexity; Architecture and Organization; Computational Science; Discrete Structures; Graphics and Visualization; Human-Computer Interaction; Information Assurance and Security; Information Management; Intelligent Systems; Networking and Communication; Operating Systems; Platform-Based Development; Parallel and Distributed Computing; Programming Languages; Software Development Fundamentals; Software Engineering; Systems Fundamentals; Social Issues and Professional Practice.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 237 Documents
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Feature Selection Based on Artificial Bee Colony and Gradient Boosting Decision Tree for Hotel Reservation Cancellation Prediction Using Random Forest Baroah, Hamida Maulana Lailatal; Hakim, Lukman
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28862

Abstract

This study focuses on predicting hotel booking cancellations using machine learning to improve accuracy and operational efficiency. The methods used include Random Forest, Artificial Bee Colony (ABC), and Gradient Boosting Decision Tree (GBDT). ABC, which excels in optimization but is prone to local optima, is combined with GBDT for feature selection. The dataset used is Hotel_Bookings from Kaggle, with 119,390 entries and 28 features. The data is processed through cleansing, normalization, and split into 75% for training and 25% for testing. Feature selection is performed using ABC and GBDT, and the prediction model is built using Random Forest. Model evaluation using confusion matrix and metrics like precision, recall, f1-score, and accuracy shows accuracies of 86.17% and 86.65% for ABC and GBDT, respectively. Increasing the number of trees and features generally improves model performance, with feature selection showing significant performance improvements compared to models without feature selection.
Implementing UTAUT Model to Analyze Consumer Behaviour in Mobile Recycling Application Elizabeth Shirley, Stephanie; Santoso, Joan; Kristina, Natalia
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 1 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i1.26930

Abstract

Abstract—Waste disposal continues to increase globally, causing environmental issues to worsen. Indonesia, with its rapidly growing cities, also struggles to manage all this waste. Numerous mobile applications were released to recycle waste more effectively. However, The rate of mobile recycling application adoption is still low. We contend that lack of awareness and knowledge on recycling is the main cause of low adoption from people, that makes them deny the need for recycling and individual responsibility. Hence, the purpose of this study is to find out if sociopreneur awareness implementation, workshop, on recycling application influence the adoption of recycling applications. TPB and UTAUT model is used to attest the acceptance of workshop on recycling application. Quantitative approach is employed in this study, using a questionnaire of 139 respondents. The structural model is calculated using Smart PLS tools, and the results are validation data. According to the results, the user's intention to use recycling applications with a workshop feature is positively and significantly impacted by four variables (T-Values ≥ 1.96), which are Functional Expectancy, Attemption, Support System, and Perceived Control. While, Society Influence have negative effects (T-Values 1.96) on the user's intention to use recycling applications with a workshop feature.
Comparison of Different Classification Techniques to Predict Student Graduation Subarkah, Aan Fuad; Kusumawati, Ririen; Imamudin, M
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 2 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i2.24095

Abstract

Every year, the number of students accepted at the Maulana Malik Ibrahim State Islamic University of Malang continues to increase. Still, not all students can graduate on time according to the specified study period, resulting in a buildup of students who have not graduated according to their graduation period. One of the aspects evaluated in the Study Program accreditation process is the student graduation rate. Apart from that, for each semester, Study Programs are also required to report educational data to DIKTI, and student graduation is one of the factors considered in the report. There is an imbalance between the number of students graduating each year and the number of new students accepted. To overcome this problem, it is necessary to predict student graduation to determine whether they will graduate on time. In science and data analysis, predictions are often used to make predictions based on existing data and information. Classification models in predicting student graduation include the Nave Bayes method, Support Vector Machine SVM, and Random Forest, as well as the level of accuracy of these three methods. From the results of experiments and model evaluations carried out, with data from 458 Informatics Engineering Study Program students with details of 366 training data and 92 testing data, it was obtained that the SVM model had the highest accuracy, reaching around 87% and Random Forest also had good accuracy, around 82%. At the same time, the Naïve Bayes model has lower accuracy, around 76%.
Fingerprint Pattern Feature Extraction for Loop Fingerprint Pattern Identification by Zhang-Suen and Stentiford Thinning Method fakhrina, alif
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28892

Abstract

Every fingerprint that a human possesses must have a fingerprint pattern and must be unique. Each pattern has a ridge pattern that will not change as long as there is no change due to an accident or injury. This ridge pattern can be used as biometric recognition. Based on the ridge pattern owned, the fingerprint pattern is divided into 4 patterns, including the tented arch pattern, the whorl pattern, the loop pattern (ulnar loop and radial loop). The stage of fingerprint pattern recognition begins by looking for minutiae (termination and bifurcation) points on the fingerprint using the Crossing Number (CN) method. Before searching for CN, the fingerprint image must be processed using the Otsu and Zhang-Suen or Stentiford Thinning methods. Thinning is used to facilitate the extraction of minutiae in fingerprint images. The last stage in obtaining the minutiae point is classified by the Linear Discriminant Analysis (LDA) method. The results obtained from the test data were 30 images, 24 images could be classified correctly, and 4 images could not be recognized. The accuracy rate of the fingerprint pattern identification system is 80%.
Power BI and SQL Server Dashboard Data for Monitor Transportation Presence Employees at PT PON Gresik Frayudha, Angga Debby; Agung, Hamzah
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 1 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i1.24149

Abstract

Employee presence is a crucial aspect in office management. It reflects the way employees work in a company and can impact their productivity. A high level of productivity can indicate achievement of company targets. However, this attendance data is often large and has not been processed. To turn it into valuable information, Business Intelligence (BI) software is needed that is able to visualize employee attendance and transportation data. This research aims to create a dashboard that shows employee attendance data, including entry hours and attendance status, as well as transportation data such as expenditure for each type of vehicle and travel destination code. Microsoft Power BI was used for data visualization, while Microsoft SQL Server Management Studio was used to create the database. Data is collected and processed so that it can become a source of information. The research results include a daily attendance dashboard with peak attendance at 08.00 and 21.00. The trip dashboard shows the highest fare with travel code "7AA0112" exceeding Rp. 12,000,000.00 from PT. PON Gresik. Travel information shows transportation use in Jakarta, Bandung and Surabaya with the largest total fare in Jakarta reaching Rp. 97,761,000.00
Development of Android Application for Insect Animal Recognition Based on Augmented Reality as Interactive Learning Media Paneo, Fahrezah R.; Manurung, Tohap K; Lapihu, Dodisutarma
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.27035

Abstract

This study aims to develop Augmented reality applications as an interesting and interactive learning media and able to provide convenience in introducing insect animals into 3-dimensional form. The method used to design this system is the Prototype method and application testing is used Usability testing. Based on the results of development and testing, the majority of respondents indicated that the Insect World application functions well and is easy to use. Positive responses are also seen in the perception of learning about insect animals provided by the Insect World application. The appearance of the application and the real insect models displayed are also favored by the majority of respondents, and most like the learning experience using the Insect World Augmented reality application.
Fuzzy Logic Controller Design for Smart Watering System of Rose Cultivation Arifin, Samsul; Mukti, Fransiska Sisilia; Aziz, Aynan Salsabilah
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 2 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i2.23876

Abstract

The traditional methods of rose cultivation often rely on manual irrigation practices, which may not always be precise or efficient. Additionally, the cost associated with implementing automated irrigation systems has been a limiting factor for many farmers. This research addresses these challenges by exploring the integration of Fuzzy Logic Controller (FLC) technology and low-cost electronic devices to develop an automated irrigation system tailored for rose cultivation, aiming to enhance precision and accessibility in agricultural practices. The study demonstrates the effectiveness of this approach in optimizing watering practices, showcasing a notable level of accuracy in providing irrigation recommendations. Moreover, the implementation of low-cost electronic devices enhances the accessibility and feasibility of such smart irrigation systems. The research lays a foundation for advancements in precision agriculture, particularly in the domain of rose cultivation, with potential implications for broader agricultural practices.
Data Encryption and Security in Data Storage Management Information System Using Blowfish Algorithm Putri, Mayang Anglingsari; Trihapningsari, Denisha; Hapsani, Anggi Gustiningsih; Putri, Chandra Sina
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28893

Abstract

Documents and archives is an important part of BPAD (Badan Perpustakaan Arsip dan Dokumentasi) Malang because the main task is the management of archives. But in its management, mail archiving, as well as the approval letter is still done manually and there is no security of its data. With this system is expected to help to manage and document all messages are in BPAD (National Library of Archives and Documentation) Malang. Both incoming and outgoing mail. Letters contained in the system is also secured by means of encryption using the Blowfish algorithm to secure data archive important letters so that data is safe and away from the risk of this manipulation. Aplication can simplify the process of collecting data, archive storage and secure image archive in poor districts BPAD use blowfish algorithm so that data is safe and away from the risk of misuse.
Development of a Boolean Logic Game for Visual, Auditory and Kinesthetic Learning Styles Kharisma, Mochammad Mirza; Wardhono, Wibisono Sukmo; Suharsono, Aswin
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 1 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i1.25578

Abstract

This research aims to develop a top-down game to provide a comfortable learning environment for students with various learning styles. We use the visual, auditory and kinesthetic (VAK) learning style model. Top-down game development meets learning content needs within a Personalized Learning Environment (PLE). PLE is a system that is able to adapt students' characteristics in learning so that they can learn optimally. In this case, we chose Boolean algebra material presented to students taking Discrete Mathematics and Computer Architecture courses. The development of this learning environment uses the 4D method from Thiagarajan up to the third stage (Define, Design, Develop). The Define stage produces an instructional design consisting of Boolean algebra symbol material, Boolean algebra operations, and logic gate operations. The Design stage produces nine mini game designs representing three materials and each available for three learning styles. The nine game designs have been declared in accordance with the objectives of instructional design based on material expert validation. The Develop stage produces a digital game, media experts state that the game meets the parameters of digital game validity.
Implementation of the Fast Method in Android-Based New Student Registration Application Alda, Muhamad; Sibarani, Fathiya Hasyifah
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.27614

Abstract

As the information and technology sectors develop, Android smartphones are a means of disseminating information that offers many benefits. In the current era, information technology has a huge impact on every aspect of daily life. Improvements in information technology in the education sector will become more user-friendly. One of them is SMP N 5 Medan, which requires IT assistance to register new students who still use paper forms. The current system has a problem because it makes it difficult to collect data and create reports. This research aims to develop an Android application that can be used by prospective students to register and assist SMPN 5 Medan in monitoring prospective student registration data. Application development in this research uses the FAST method, which includes scope definition, problem analysis, requirements analysis, logical design, decision analysis, physical design and integration, development and testing, and delivery. The developed application facilitates information access, registration, and aids SMP N 5 Medan in generating new student registration reports.

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