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Deny Zainal Arifin
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matics@uin-malang.ac.id
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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 6 Documents
 1 
Search results for , issue "Vol 14, No 1 (2022): MATICS" : 6 Documents clear
Air Quality Forecasting in DKI Jakarta Using Artificial Neural Network Asfilia Nova Anggraini; Nisa Kholifatul Ummah; Yessy Fatmasari; Khadijah Fahmi Hayati Holle
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.13863

Abstract

The increase in the use of motorized vehicles increases air pollution conditions, especially in big cities such as the capital city of Indonesia, Jakarta. The pollution that pollutes this city contains various kinds of chemical particles that are harmful to living things when they enter the body. several efforts to reduce this pollution have been carried out, one of which is by identifying the pollutants contained in the air. This study uses data obtained from monitoring stations to predict the content of pollutants in the air at some time in the future. the method used is data mining forecasting with a neural network model. by using rapid miner obtained several graphic descriptions of pollutant conditions in Jakarta that go up and down. pollutant levels of SO2, CO, PM10 and NO2 all increased in the November-December period and at the same time period, ozone was at its lowest point. Results from Prediction air quality using Artificial Neural Network with 5 parameters, shown on this pollutant PM10 had an RMSE of 9,477; SO2 had an RMSE 5,474; CO had an RMSE 8,392; O3 had an RMSE 18,250; NO2 had an RMSE 5,171. Can be concluded that the RMSE value of O3 is higher than the others and the lowest value of NO2.
Adapting TAM to Understand Video Conferencing Apps Adoption for Learning Islamic Knowledge Nindita Erwanti
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.15504

Abstract

Seeking knowledge is obligatory for Muslims. Video conferencing apps help Muslims for learning Islamic knowledge. This study attempted to comprehend factors influencing intention to use video conferencing applications for learning Islamic knowledge by modifying Technology Acceptance Model (TAM). The data was gathered through a questionnaire from 85 respondents. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to evaluate the proposed model. The findings show that perceived usefulness, perceived ease of use, and religiosity all have a significant influence on behavioral intention to use video conferencing apps. Furthermore, religiosity significantly influences perceived usefulness. Facilitating condition also significantly influences perceived usefulness and perceived ease of use.
Phrase Based and Neural Network Translation for Text Transliteration from Arabic to Indonesia Alvian Burhanuddin; Ahmad Latif Qosim; Rizqi Amaliya
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.13853

Abstract

Abstract- Transliteration is one solution to overcome the inability to read and write Arabic in Indonesia. However, this transliteration has many different versions in reality. The many differences in transliteration versions make it difficult for people to understand and pronounce the Arabic sentence. So there needs to be an approach to overcome the problem of these differences. The data mining approach can be used as an option to reduce these differences. In this study, the researcher found that automatic transliteration based on the data mining model had a reasonably good BLEU value.
Light Drop Resistor (LDR) as pH Sensor for Wastewater Treatment Imam Saukani; Eko Nuraini
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.13883

Abstract

The electroplating industry generates acidic or wet liquid wastes when operating. Improper waste treatment will cause severe problems for the environment. Under Article 1 Paragraph 7 of the 1997 Law of the Republic of Indonesia, environmental pollution is the entry/inclusion of living things, substances, energy, or other components into the environment or changes in the environmental order by human activities or natural processes. So that the quality of the environment decreases to a certain level, causing the environment becomes less or no longer function according to its designation. A light Drop Sensor (LDR) sensor is used to read the level of acidic or wet liquid waste. The resistance value of the LDR sensor will change directly proportional to the conditions of acidity or level of wetness, and this value will then be the basis for the following control processing. The data were collected by installing a series of LDR sensors with resistance and obtained the results as follows: the wastewater, which was very cloudy, dark, of the first and second filters, and clear, each of these conditions emitted voltages of 4.4 volts, 3.45 volts, 3.10 volts, 2.6 volts, and 0.2 volts.
Usability Analysis of Higher Education Information Systems (SIDIKTI) at Sjakhyakirti University Using Post-Study System Usability Questionnaire (PSSUQ) Nuril Ikhsanuddin; Rusmala Santi; Utami Mizani Putri
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.13385

Abstract

The Higher Education Information System (SIDIKTI) is a existing systems at Sjakhyakirti University which is used as a basis for the needs of the academic community to make it easier for operators, students and lecturers to control teaching schedules, take courses, view classrooms, and print semester study results. The system created needs to be investigated for its usability level. A high level of usability is usually closely related to the popularity and high utilization of the system by users. This study aims to analyze the Usability of SIDIKTI at Sjakhyakirti University using the Post-Study System Usability Questionnaire (PSSUQ). by having four response items, namely 2.504 overall, 2.502 sysuse, 2.509 infoqual and 2.59 intqual. From the results that have been obtained that SIDIKTI as a whole is good, and in terms of usability SIDIKTI is easy and convenient to use so that users become more productive, effective, efficient in using the system and the quality of SIDIKTI information can be well received by users, so it helps in completing work. This shows because PSSUQ has the principle of lower score high usability, where if the score obtained is smaller, the usability will be greater.
Improving UAV Radio Control System with 433 MHz Radio Wave Using Lo-Ra based on QCZEK Model Communication System Juniardi Nur Fadila
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.16370

Abstract

UAV must have a reliable control system considering the UAV is an unmanned vehicle that relies on human control on the ground. Most of control system used in UAVs uses a 2.4 GHz as it frequency. This frequency has disadvantaged for UAV because it is mainly used for Wi-Fi communication system so when users of UAV’s fly in urban areas where full of Wi-Fi system, there will be interference within UAV control system and Wi-Fi, so failsafe will often occur. From the theory, different frequencies produce different criteria for radiofrequency communication system to synchronize and manage and secure communication between transmitter and receiver. In this study, we will discuss the application of 433 MHz frequency for the control system for UAV. The goal of this research is to establish a reliable control system of UAV when used for the long-range mission. To make this control system, we use the Lo-Ra module with STM32 based Microcontroller designed for QCZEK TX/RX model communication. After several testing on the ground and the air, the purpose system serve 14 % longer distance than TBS system or market build system and 6 times longer distances than 2.4Ghz frequencies.

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