cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Deny Zainal Arifin
Contact Email
matics@uin-malang.ac.id
Phone
+6285646744340
Journal Mail Official
matics@uin-malang.ac.id
Editorial Address
Jurusan Teknik Informatika Fakultas Sains dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang Jalan Gajayana 50 Malang, Jawa Timur, Indonesia 65144
Location
Kota malang,
Jawa timur
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 237 Documents
 18   19   20   21   22 
Exploring the User Experience of E-Thesis System: An Evaluation Using UX Honeycomb Method wahyu hariyanto
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 14, No 2 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i2.20991

Abstract

This research article discusses the evaluation of the e-thesis information system in the Library and Information Science program at UIN Maulana Malik Ibrahim Malang. The background of this research is that the system is relatively new and is supported by several preliminary surveys conducted among users, most of whom are unfamiliar with the use of this e-thesis application system. The research population was taken from all students of the Library and Information Science Department in the 2018 and 2019 academic years, with a research sample of 50 students. The honeycomb method was used as the analysis tool for the evaluation, which emphasizes how UX can go beyond just usability aspects for users. The assessment aspects in the honeycomb method include useful, usable, desirable, findable, accessible, credible, and valuable. The research results showed that the overall average value of the e-thesis information system was 4.10, indicating that the e-thesis system is considered good in terms of its use. The highest score of 4.23 was found in the useful aspect, indicating that students agreed that the e-thesis information system could solve user problems and meet their needs. The lowest score of 3.93 was found in the accessible aspect, which needs improvement for future development of the information system. Indicators that need attention for improvement include less appealing design and the need to enhance capabilities. Suggested improvements include visual design, an advance search button, display of two thesis advisors, UI refresh, minimizing errors, and detailed schedule display on the homepage. Improving the existing features according to the research conducted can have a wide impact on the use of the information system and can be used continuously without errors.
Chicken Menu Sales Forecasting System using Multiplicative Holt-Winters Triple Exponential Smoothing Fajar Rohman Hariri; Johan Ericka Wahyu Prakasa
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 1 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i1.21103

Abstract

Forecasting is an art and a science predict events that will occur in the future based on data in the past. The ability of the restaurant in Management shows success in taking advantage of business opportunities optimal for interpreting past performance and planning for the future. This research uses Triple HoltWinters Exponential Smoothing Multiplicative method for sales forecasting.  Multiplicative Holt-Winters Triple Exponential Smoothing Method has the smallest percentage error (PE) of 9.946% with parameter values (α=0.1, β=0.1, ϒ=0.3). While the largest percentage error (PE) is obtained Multiplicative models with parameter values (α=0.3, β=0.3, ϒ=0.1) produce percentage error (PE) value of 11.879%. Menu sales forecasting results chickens using the Holt-Winters Triple Exponential Smoothing Method Multiplicative in the next month using parameter values (α=0.1, β=0.1, ϒ=0.3) is 4782 pcs.
Eye Aspect Ratio based on Histogram Oriented Gradient and Linear Support Vector Machine to Microsleep Detection Maula, Mohammad Afinil; Wibowo, Achmad Teguh; Izzudin, Muhammad Andik
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 1 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i1.20186

Abstract

Traffic accidents are caused by several factors, especially due to driver fatigue. To minimize accidents caused by human negligence, developing a prototype microsleep detection system to trigger an alarm is necessary. This research uses Histogram Oriented Gradient and Support Vector Machine methods to detect objects. The programming language used is Python, using the dataset from the Idlib face landmark as a marker in the face point area, which will then be calculated based on the eye aspect ratio. This system is implemented using video input captured using a webcam in real-time. The output of this system uses a buzzer to alert the driver. In this study, the test results were obtained well, carried out with 2 test scenarios with a distance of 40cm - 100cm and testing light levels of 33 lux to 226 lux. From these results, the accuracy results were obtained at 88% each.
User Experience Design for Nutrition Information Applications using Design Thinking Fanani, Lutfi; Az-Zahra, Hanifah Muslimah; Akbar, Muhammad Aminul; Sianturi, Riswan Septriayadi
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 1 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i1.23025

Abstract

A healthy diet serves as one of the aspects of one's fitness and understanding caloric value. The present study aims to design a user experience for mobile nutrition apps using Augmented Reality technology. Solutions are designed using design thinking stages, including empathize, define, ideate, prototype, and testing. Data related to reasons, frustration, goals, and target users are collected at the empathize stage. At the define stage, the empathy map and Personas are created. A prospective user journey map and information architecture are generated in the ideating stage. Wireframe and mockups are generated in the prototype stage. Finally, usability testing (i.e., task scenarios) evaluates the learnability (100%) and efficiency (0.067 goals/sec) aspects, and SUS assesses the satisfaction aspect. The satisfaction aspect score was 85, indicating a high acceptability level, B grade scale, and excellent adjective rating.
Chicken Menu Sales Forecasting System using Multiplicative Holt-Winters Triple Exponential Smoothing Hariri, Fajar Rohman; Prakasa, Johan Ericka Wahyu
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 1 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i1.21103

Abstract

Forecasting is an art and a science predict events that will occur in the future based on data in the past. The ability of the restaurant in Management shows success in taking advantage of business opportunities optimal for interpreting past performance and planning for the future. This research uses Triple HoltWinters Exponential Smoothing Multiplicative method for sales forecasting.  Multiplicative Holt-Winters Triple Exponential Smoothing Method has the smallest percentage error (PE) of 9.946% with parameter values (α=0.1, β=0.1, ϒ=0.3). While the largest percentage error (PE) is obtained Multiplicative models with parameter values (α=0.3, β=0.3, ϒ=0.1) produce percentage error (PE) value of 11.879%. Menu sales forecasting results chickens using the Holt-Winters Triple Exponential Smoothing Method Multiplicative in the next month using parameter values (α=0.1, β=0.1, ϒ=0.3) is 4782 pcs.
DESIGN OF ANDROID-BASED MUNA LANGUAGE DICTIONARY APPLICATION USING EXTREME PROGRAMMING METHOD Anasara, Muhamad Fauzil; As’ad, Ihwana; Mude, Muh. Aliyazid
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 1 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i1.23151

Abstract

Muna is one of the languages spoken by the Muna tribe in Southeast Sulawesi, Indonesia, which belongs to the Austronesian language family. Over time, Muna language began to be rarely used. Muna language learning in education also began to be rarely used and there are almost no Muna language lessons anymore, because people prefer to use foreign languages rather than using their own local languages. As a result, many people in the capital of Muna Regency do not understand or know the vocabulary of the Muna language. One way to preserve it is by utilizing existing technology through applications that can help search vocabulary as a substitute for conventional dictionaries that are large in size that can be carried and viewed at any time. Therefore, this research aims to preserve the Muna language through the design of the Muna language dictionary application by applying the Extreme Programming method. Extreme Programming method is a software development approach that emphasizes collaboration, flexibility, and responsiveness to change. The Muna language dictionary application will be designed with various features that make it easier for users to understand and use the Muna regional language. The Muna regional language dictionary application has also been tested using black box testing, where all the features in this application run well and in accordance with what is needed. Index Terms— Muna language, application, dictionary, Extreme programing.
Usability Testing and User Interface Improvement of Mobile Banking Application: Livin’ by Mandiri Alfaridzi, Mohamad Gilang; Hanggara, Buce Trias; Az-zahra, Hanifah Muslimah
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 1 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i1.22919

Abstract

Livin' by Mandiri is a mobile banking application that is integrated with Bank Mandiri banking services and its digital ecosystem. However, some users reported negative responses regarding usability aspects. This study aimed to determine the usability problems faced by users, measure the level of usability, and recommend the user interface design for usability improvement. The evaluation was carried out using the Usability Testing method which collected quantitative and qualitative data. Quantitative data was collected by measuring usability metrics data gathered while participants worked on task scenarios and filled out questionnaire. Meanwhile, qualitative data is collected through interviews with participants to gain insight from users on usability issues. The evaluation of the existed application show that the value of the learnability aspect was 68%, the efficiency was 0.013189 goals/sec, the error was 33.28% and the satisfaction aspect score was 73.5 (good). Participants said that the difficulties they faced most were features or menus that were difficult to find or unknown. Next, recommendations were construct to solve the problem by implementing usability guidelines. The user interface design recommendations were manifested in a high-fidelity prototype. The prototype was also evaluated with the usability testing method. The prototype evaluation showed an improvement of usability. The learnability aspect increased to 93%, the efficiency aspect increased to 0.026295 goals/sec, the error decreased to 2.34%, and the satisfaction aspect score was 84.4 (excellent).
The Development of Malang City Virtual Tourism for Preservation of Traditional Culture using React 360 Tolle, Herman; Kurnia S., Primananda; Sukmo Wardhono, Wibisono; Dewi, Ratih Kartika; Fanani, Lutfi; Afirianto, Tri
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 1 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i1.23000

Abstract

Malang is one of the tourist destinations in East Java, and always visited by both domestic and foreign tourists. However, Malang isn’t the first destination in tourism, this is due to the lack of intense promotion. Virtual tourism is a virtual reality technology for promoting tourism. Based on these problems, the researchers developed a virtual reality application that can provide immersive experiences to users assembled with tourist destinations in Malang. Application was developed using React 360 framework, because of its ease of development and can be developed for various platforms. The Software Development Life Cycle (SDLC) is the waterfall method. The implementation using VR Headset and VR Controller. In testing, researchers conducted functional testing and non-functional testing. Functional testing is done using black box testing and non-functional testing is done by the System Usability Scale (SUS) method. The results of functional testing using black box are 100% valid. In the usability test, the System Usability Scale (SUS) questionaire obtained a score of 89. From the scores that have been obtained, this application is acceptable, with Grade A and adjective rating Excellent.
Design of Water Monitoring System in Aquaponics Based on Arduino Nano and Raspberry Pi Prasetya, Nyoman Wira; Imansyah Harahap, Arya Rizky; Aulady, Fadhli; Wulandari, Inayah
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 1 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i1.23005

Abstract

The aquaponic system is an agricultural technology that can provide a lot of results in a limited space by recirculating water and nutrients from the symbiosis created between fish farming and hydroponic plant cultivation. To maximize the nutritional needs of water that will be supplied to plants and maintain good water conditions for fish life, it is necessary to check several parameters that can be measured in water periodically in fishponds in an aquaponic system so that farmers can provide appropriate actions in managing the system. aquaponic farming. Based on this background, a system was designed using the Internet of Things concept that can monitor water conditions in aquaponic fishponds, store water parameter data in a database, then data can be monitored via the Website. The system is designed using the Arduino Nano microcontroller board as a data processor which is equipped with the ESP8266-07 wifi module which is connected via a WiFi Local Area Network (LAN) network and connected to the Raspberry Pi 3 Model B as a gateway to the database using the MQ Telemetry Transport Protocol (MQTT). The water parameters that are measured in the designed system are: water temperature, water turbidity, dissolved solids, dissolved oxygen, and water acidity (pH). The results of the designed system show that this system can run as expected so that it can facilitate monitoring of water in aquaponic farming systems
Comparative Analysis of Kidney Disease Detection Using Machine Learning DIQI, MOHAMMAD; ORDIYASA, I WAYAN; HISWATI, MARSELINA ENDAH
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.v15i2.21468

Abstract

This research aimed to compare the performance of ten machine learning algorithms for detecting kidney disease, utilizing data from UCI Machine Learning Repository. The algorithms tested included K-Nearest Neighbour, RBF SVM, Linear SVM, Neural Net, Decision Tree, Naïve Bayes, AdaBoost, Random Forest, Gaussian Process, and QDA. The evaluation metrics used were accuracy, precision, recall, and F1-score. The findings revealed that AdaBoost was the most effective algorithm for all evaluation metrics, achieving an accuracy, precision, recall, and F1-score of 1.00. Random Forest and RBF followed closely, while Naïve Bayes and QDA had the lowest performance. These results suggest that machine learning algorithms, especially ensemble methods such as AdaBoost, can significantly improve the accuracy and efficiency of detecting kidney disease. This can lead to better patient outcomes and reduced healthcare costs.

Page 20 of 24 | Total Record : 237

 18   19   20   21   22 

Filter by Year

2010 2025


Reset
Filter By Issues
All Issue Vol 17, No 2 (2025): MATICS Vol 17, No 1 (2025): MATICS Vol 16, No 2 (2024): MATICS Vol 16, No 1 (2024): MATICS Vol 15, No 2 (2023): MATICS Vol 15, No 1 (2023): MATICS Vol 14, No 2 (2022): MATICS Vol 14, No 1 (2022): MATICS Vol 13, No 2 (2021): MATICS Vol 13, No 1 (2021): MATICS Vol 12, No 2 (2020): MATICS Vol 12, No 1 (2020): MATICS Vol 11, No 2 (2019): MATICS Vol 11, No 1 (2019): MATICS Vol 10, No 2 (2018): MATICS Vol 10, No 2 (2018): MATICS Vol 10, No 1 (2018): MATICS Vol 9, No 2 (2017): MATICS Vol 9, No 1 (2017): MATICS Vol 8, No 2 (2016): MATICS Vol 8, No 1 (2016): MATICS Vol 7, No 2 (2015): Matics Vol 7, No 1 (2015): Matics Vol 1, No 1 (2015): Matics Vol 6, No 2 (2014): MATICS Vol 1, No 1 (2014): Matics MATICS (Vol 5, No 3 MATICS (Vol. 4, No 5 MATICS (Vol. 4 No. 4 MATICS (Vol. 4 No. 3 MATICS (Vol. 4 No. 2 MATICS (Vol. 4 No. 1 More Issue