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Deny Zainal Arifin
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matics@uin-malang.ac.id
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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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INDONESIA
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 8 Documents
 1 
Search results for , issue "Vol 16, No 1 (2024): MATICS" : 8 Documents clear
Web-Based Integration of IoT and Artificial Intelligence for Monitoring Aquariums Nugraha, Ananto Indra; Rosita, Yesy Diah
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.v16i1.23471

Abstract

Technology is now an indispensable part of work across all fields and locations. For instance, in fish cultivation and among ornamental fish enthusiasts, technology plays a pivotal role in regulating and notifying when ornamental fish's environmental conditions require attention. This includes monitoring and alerting for cleaning or feeding needs. Ornamental fish are particularly sensitive, often carrying a higher price tag. Due to their susceptibility to stress and their relatively costly nature, those involved in ornamental fish cultivation and collection frequently face significant losses. These losses can occur when fish are collected, raised, and fall ill or, in the worst-case scenario, die. In response to these challenges, technological innovations have emerged to simplify the monitoring of ornamental fish's environmental conditions. This is achieved through IoT-based solutions accessible anytime and anywhere via the web. These innovations incorporate three primary sensors: pH sensors, clarity sensors, and temperature sensors. Additionally, Thingsboard is used to facilitate real-time monitoring of sensor data. These aquarium monitoring systems for ornamental fish hold the potential to enhance fish welfare and health, mitigate risks, and provide hobbyists and professionals with a more effective and informed experience in maintaining ornamental fish. However, it's important to note that the success of this system relies heavily on the quality of hardware, meticulous software development, and a profound understanding of the specific needs of ornamental fish
IoT and Machine Learning in Smart Kitchen Monitoring for Enhanced Worker Health FEBRIANTONO, M. ALDIKI
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.v16i1.25747

Abstract

The significance of occupational health in culinary settings, particularly kitchens, is paramount due to the inherent health risks associated with these environments. This study addresses the necessity of maintaining optimal environmental conditions, such as temperature, humidity, and air quality, in kitchens to safeguard worker health. To achieve this, the study advocates for the implementation of sophisticated ventilation and air conditioning systems. The core focus of the research is the integration of Internet of Things (IoT) technology and advanced machine learning algorithms for the real-time monitoring and assessment of kitchen environments. Specifically, the study fine-tunes and evaluates several classification algorithms, including Decision Trees (DT), Support Vector Machines (SVM), and K-Nearest Neighbors (KNN), aiming to accurately predict and manage kitchen conditions. The comparative analysis reveals that the DT algorithm outperforms others, demonstrating exceptional accuracy (97.41%), precision (95.35%), and proficiency in identifying relevant scenarios (88.57%). In contrast, the KNN algorithm registers the lowest accuracy (75.12%), while the SVM algorithm, despite being the least precise (86.55%), shows a relatively higher capability in recognizing pertinent cases (86.55%) compared to KNN (72.33%). This study underscores the potential of integrating IoT and machine learning in enhancing occupational health standards in kitchen settings.
Enhancing Employee Motivation: A TOPSIS-Based Decision Support System for Incentive Allocation through Performance Evaluation Sutyawati, Yuke Subaikah; Daniawan, Benny
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.v16i1.23921

Abstract

Information technology is developing rapidly and has a significant role in various aspects, one of which is making decisions to evaluate employee performance. Employee performance assessment is an important activity and is often carried out by companies to determine employee performance in a certain period. A company's progress is greatly influenced by the good and bad of the system that is running. The decision support system can improve and influence the assessment of existing performance in the company. If the decision support system is inadequate, it can lead to errors in decision-making. This research was conducted at PT. App Inti provides enthusiasm and motivation to employees, and the company performs performance assessments every six months, which will influence the adjustment of employee salary increases. However, the current assessment process still uses simple methods and often experiences difficulties assessing performance, making the assessments less effective. Because errors and inaccuracies often occur during assessments, to make it easier for companies to make decisions and help solve these problems, a decision support system was designed using the TOPSIS method. The TOPSIS is a multi-attribute decision-making method often used to complete practical decisions. Then, the results can be considered and help the company determine a decision based on the alternatives and criteria that the company has decided. Then, the results of this research can help companies determine which employees are more visible during the assessment. Then, the TOPSIS ranking results are used to adjust salary increases that have been selected by the company, thereby helping companies make decisions more quickly.Keywords: Performance Appraisal, Decision Support System, TOPSIS
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.
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 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.
Augmented Reality Mobile Application for Autism Spectrum Disorder Rehabilitation Taufiq, Milkhatussyafa'ah; Kurniawan Suhartono, Bryan Fernando; Sabanari, Hizkia Febriano; Musyaddad, Muhammad Naufal; Rofiq, Dzaky Ahmad
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.v16i1.23409

Abstract

Autism Spectrum Disorder (ASD) is a neurological disorder in which a diagnosed child may have difficulty communicating socially or may have a repeated or limited set of behaviors. Recently, ASD cases have increased dramatically. This makes scientists interested in finding various drugs or therapies that can be used for children with autism. Social behavior therapy is one of therapy that has shown effectiveness in improving fundamental symptoms of ASD. With the rapid development of technology, social behavior therapy was then expanded by utilizing some of the latest technologies that can be beneficial for children with autism.  One of the therapies using the latest technology that can be utilized is making a quiz-based game by utilizing Augmented Reality (AR) to create 3D objects virtually. Spectrum Quiz is an example of an AR-based therapy game. This game is expected to improve the ability of children with autism to communicate socially. In the development of the Spectrum Quiz AR application, several tools are needed such as Adobe Illustrator, Unity, and Blender 3D.
Evaluation and Improvement of Business Processes in the Operational Division Using Business Process Improvement (BPI) (Case Study: PT. Mitrasukses Engineering Indonesia Sinatriya, Ichi Rizqi; Hanggara, Buce Trias; Rachmadi, Aditya
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.v16i1.25596

Abstract

PT. Mitrasukses Engineering Indonesia (MEI) is a manufacturing company specializing in custom machine production. The company has an operational division responsible for managing product orders until they are delivered. The main problem in the operational division of PT. MEI is the inconsistency between product designs and customer needs, leading to machine design redesigns and delays in order processing. Therefore, a more detailed analysis of potential errors is required, followed by recommendations for improvement through business process improvement. The methodology used to analyze potential errors is the Failure Mode and Effect Analysis (FMEA) method. Meanwhile, the methodology used to provide improvement recommendations is the Business Process Improvement (BPI) method with the streamlining tools. The improvement measures adopted include streamlining tools such as Standardization, Upgrading, Simplification, Automation, and Error Proofing. Simulations will be conducted after modeling the improved business process based on the improvement recommendations. The simulations compare the time between the current business process model (as-is) and the improved business process model (to-be) to determine the percentage increase in efficiency. Efficiency occurs due to changes in process activities in the current business process that has been improved. The simulation results indicate an efficiency improvement in the product ordering process by 16.58%, material procurement process by 35.37%, production process by 38.85%, and product delivery process by 22.42%.

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