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CommIT (Communication & Information Technology)
Published by Universitas Bina Nusantara
ISSN : 19792484     EISSN : 24607010     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Communication and Information Technology (CommIT) focuses on various issues spanning: software engineering, mobile technology and applications, robotics, database system, information engineering, artificial intelligent, interactive multimedia, computer networking, information system audit, accounting information system, information technology investment, information system development methodology, strategic information system (business intelligence, decision support system, executive information system, enterprise system, knowledge management), e-learning, and e-business (e-health, e-commerce, e-supply chain management, e-customer relationship management, e-marketing, and e-government). The journal is published in affiliation with Research Directorate, Bina Nusantara University in online and free access mode.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 478 Documents
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Development of a Target-Based Configurable Business-to-Business Model for Electronic Wholesale Information System in East Java Liliana Liliana; Felix Handani; Bambang Prijambodo; Maria Christabella Wariky
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8296

Abstract

Until the end of 2021, most of the electronics wholesale market in East Java has found obstacles in contract administration and monitoring of consumers’ sales targets managed conventionally in contract management and sales target monitoring aspects. This phenomenon becomes complicated because most wholesaler systems have specific rules of management. The research discusses information systems that can be configured for various business processes in the wholesale sale of electronic goods. The case-study approach is applied by analyzing, designing, constructing, and validating the new proposed system based on three case studies with different business processes. The result of the analysis phase explains minimum sales value, the number of item variants in sales, verification rules for sales supervisors, and the configuration of user access rights that are highly flexible when applied. This system is developed as web-based to make easy access to multiple platforms to accommodate flexibility. The result summarizes that companies have the power of freedom to customize their target and help them to monitor wholesale store sales to meet sales target achievement. Alternatively, suppose companies create their new sub-companies with different targets and segments. In that case, they can easily configure target sales rules without spending significant money on developing another application.
Strategies to Improve Data Quality Management Using Total Data Quality Management (TDQM) and Data Management Body of Knowledge (DMBOK): A Case Study of M-Passport Application Rina Rahmawati; Yova Ruldeviyani; Puja Putri Abdullah; Fathurahman Ma'ruf Hudoarma
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8330

Abstract

M-Passport is a mobile application developed for Indonesians to request for passport online. The applicants independently input all required data using this application, so the quality of data entered must be considered to ensure the passport’s validity as an official state document. However, input errors increase the time needed for the interview process and make the data verification procedure inefficient. The research aims to assess the data quality of M-Passport for organizations to take deliberate actions to enhance the data quality. The research applies the Total Data Quality Management (TDQM) method and the Data Management Body of Knowledge (DMBOK). Six data quality dimensions are used. It consists of completeness, validity, accuracy, timeliness, uniqueness, and consistency. The measure phase is carried out on 17 entities in the M-Passport database through a query process in the production environment. Then, the analysis phase observes the problems based on the pre-determined dimensional classification groups. The result indicates that the average values of completeness, validity, accuracy, consistency, timeliness, and uniqueness are 99.20%, 99.41%, 100%, 90.68%, 78.52%, and 99.98%, respectively. According to the findings, timeliness and consistency are the lowest dimensions in fulfilling business rules. It indicates that organizations need to focus more on improving data quality in these dimensions. Then, based on the DMBOK, the research also generates recommendations for resolving technical and operational issues.
Smart Agriculture Water System Using Crop Water Stress Index and Weather Prediction Jason Timotius Purwoko; Taurean Orlin Wingardi; Benfano Soewito
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8435

Abstract

Water is essential for crops to grow well. However, overwatered or underwatered plants hinder growth and produce less fruit than plants with sufficient watering. Using the Internet of Things (IoT), agriculture can be controlled to achieve the best condition for plants to grow. The research aims to develop a watering system based on Crop Water Stress Index (CWSI), soil moisture content, and weather prediction. By evaluating CWSI and soil moisture content, the research makes a smart watering system that efficiently monitors water concentration in a plant. However, there is a flaw in the watering system that water from the rain makes the plant overwatered. So, using weather prediction can delay irrigation to save water and produce a better stress index result. Next, the research compares the watering system using four pots: (1) weather prediction, CWSI, and soil moisture watering system; (2) CWSI and soil moisture watering syste;, (3) soil moisture watering system; (4) manual irrigation watering system to get the best watering system by water consumption and CWSI. The results show a significant difference by using CWSI. It gets a 42.7754% smaller CWSI value by using CWSI value in making watering decisions. By adding weather prediction, the research saves water consumption by 21.9% compared to CWSI and soil moisture watering systems. These results show that weather prediction and CWSI are vital for IoT plant watering systems.
Nighttime Motorcycle Detection for Sparse Traffic Images Using Machine Learning Pov Vandeth; Jimmy Tirtawangsa; Hertog Nugroho
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8443

Abstract

Traffic accidents often occur at night. It is understandable, since at night, people have low visibility. Many efforts to develop tools to detect nearby vehicles to avoid crashes have been reported. However, most of them worked only on detecting cars. The research aims to detect motorcycles at night, to complement the previous studies, which mainly focused on cars. The research introduces four features which are extracted from the red pixel and edge map. The algorithm to extract the features has also been developed. They are applied to three commonly used classifiers: Artificial Neural Network (ANN), Decision Tree, and Support Vector Machine (SVM) classifiers to validate the effectiveness of the features. Since the public dataset related to the research is not available yet, the nighttime videos from YouTube have been collected. The datasets contain all the various levels of darkness. They are divided into an 80-20 ratio for training and testing sets to support the experiment and measure the validity of the proposed method. As the best result, the detection using ANN can detect motorcycle proposals with accuracy of 72.71%, precision of 65.10% and recall of 73.33%. Furthermore, during the experiment, the classification can perform consistently in 0.04 seconds per image. Therefore, the method is suitable for use in a real-time system.
Hand Symbol Classification for Human-Computer Interaction Using the Fifth Version of YOLO Object Detection Sugiarto Wibowo; Indar Sugiarto
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8520

Abstract

Human-Computer Interaction (HCI) nowadays mostly uses physical contact, such as people using the mouse to choose something in an application. However, there are certain problems that people face in using conventional HCI. The research tries to overcome some problems when people use conventional HCI using the computer vision method. The research focuses on creating and evaluating the object detection model for classifying hand symbols. The research applies the fifth version of YOLO with the architecture of YOLOv5m to classify hand symbols in real time. The methods are divided into three steps. Those steps are dataset creation consisting of 100 images in each class, training phase, and performance evaluation of the model. The hand gesture classes made in the research are ‘ok’, ‘cancel’, ‘previous’, ‘next’, and ‘confirm’, the dataset is made by the researchers custom. After the training phase, the validation results show 93% for accuracy, 99% for precision, 100% for recall, and 99% for F1 score. Meanwhile, in real-time detection, the performance of the model for classifying hand symbols is 80% for accuracy, 95% for precision, 84% for recall, and 89% for F1 score. Although there are differences, it still acceptable for the research and can be improved in future research.
Technology Readiness During the COVID-19 Pandemic: Lessons Learned from Indonesia Genoveva; Jhanghiz Syahrivar; Eka Srirahayu Ariestiningsih
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8068

Abstract

The COVID-19 pandemic since March 2020 has forced Indonesians to practice physical distancing and carry out their personal and professional activities from home. However, not everyone is ready to conduct their regular activities remotely. The issue is the readiness for digital technology. The research aims to analyze the Indonesian people’s readiness for digital technology during the pandemic. The research also investigates the impact of optimism and technology adoption on behavioral intention mediated by perceived ease of use. The research applies a quantitative study using an online questionnaire. The population of the research is people who use Internet technology for online learning, working from home, online shopping, and social activities during the COVID-19 pandemic. The research successfully gathered 327 respondents using purposive sampling. The research uses Structural Equation Model (SEM) method via SPSS AMOS software to analyze the data and generate findings. There are several findings. First, optimism has a positive relationship with perceived ease of use. Second, technology adoption relates with perceived ease of use positively. Third, perceived ease of use has a positive relationship with behavioral intention. Last, the empirical evidence for the mediation roles of perceived ease of use is inconclusive. The research also offers some managerial implications.
Improving Competitive Advantages of Higher Education Institutions through IT Governance, IT Excellence, and IT Innovation: A Case Study in School of Informatics Management & Computing in Indonesia David David; Edi Abdurachman; Agustinus Bandur; Wibowo Kosasih
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8505

Abstract

School of Informatics Management & Computing (Sekolah Tinggi Manajemen Informatika & Komputer - STMIK) in Indonesia currently needs to improve its competitive advantages, which are inseparable from capabilities to empower Information Technology (IT) for management activities. The research aims to develop IT innovation theories by studying the influences of IT governance, IT excellence, and IT innovation on the competitive advantages of STMIK in Indonesia. A sequential explanatory model is applied to collect and analyzes quantitative data in the first stage and qualitative data in the second stage. Focus Group Discussions (FGDs) method is also used to receive respondents’ statements to strengthen the research findings. The analysis unit involves private STMIK in Indonesia with heads of schools, deputies, and heads of study programs. Quantitative and qualitative research dimensions and an empirical survey, with the active participation of 85 schools, are implemented. The results emphasize that IT maturity is insignificant as a moderating variable between IT innovation and competitive advantages. Similarly, IT governance is also insignificant for the improvement of competitive advantages. However, competitive advantage is directly and favorably impacted by IT innovation initiatives. These findings demonstrate how much easier it is for universities to improve their competitive edge using their greater IT innovations. This circumstance demonstrates the enormous potential of STMIK’s IT innovation capability in Indonesia, allowing institutions to implement novel strategies to generate value by introducing new services.
Information Security Awareness Raising Strategy Using Fuzzy AHP Method with HAIS-Q and ISO/IEC 27001:2013: A Case Study of XYZ Financial Institution Yohan Adhi Styoutomo; Yova Ruldeviyani
CommIT (Communication and Information Technology) Journal Vol. 17 No. 2 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i2.8272

Abstract

XYZ financial institution is a government institution that receives and processes transaction reports from banks and remittances, so its data classification is very confidential. However, during the Work from Home (WFH) policy in the Covid-19 pandemic, XYZ financial institution has received many spam/phishing attacks. Hence, this incident shows that some employees need an awareness of information security. The research offers a different Information Security Awareness (ISA) questionnaire using the Human Aspects of the Information Security Questionnaire (HAIS-Q) and ISO/IEC 27001:2013 as focus areas. The research uses the theory of Knowledge, Attitude, and Behavior (KAB) to determine the dimensions that need improvement and priority ranking using Fuzzy Analytical Hierarchy Process (FAHP). Furthermore, the research conducts a Focus Group Discussion (FGD) to explore the root causes of employee behavior. The FGD results show that there are still employees who do not know about information security, such as password combinations and length, so limited knowledge affects employees’ attitudes and behaviors. The research results from 34 respondents show that the employees’ information security awareness level is in the moderate category (78.8%). They still need to increase their awareness of information security, especially in managing passwords, using email and the Internet, and reporting incidents. Recommendations have been prepared to improve the dimensions and areas that have yet to be categorized as good. In the future, the ISA questionnaire is expected to be used in other organizations.
End-to-End Steering Angle Prediction for Autonomous Car Using Vision Transformer Ilvico Sonata; Yaya Heryadi; Antoni Wibowo; Widodo Budiharto
CommIT (Communication and Information Technology) Journal Vol. 17 No. 2 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i2.8425

Abstract

The development of autonomous cars is currently increasing along with the need for safe and comfortable autonomous cars. The development of autonomous cars cannot be separated from the use of deep learning to determine the steering angle of an autonomous car according to the road conditions it faces. In the research, a Vision Transformer (ViT) model is proposed to determine the steering angle based on images taken using a front-facing camera on an autonomous car. The dataset used to train ViT is a public dataset. The dataset is taken from streets around Rancho Palos Verdes and San Pedro, California. The number of images is 45,560, which are labeled with the steering angle value for each image. The proposed model can predict steering angle well. Then, the steering angle prediction results are compared using the same dataset with existing models. The experimental results show that the proposed model has better accuracy regarding the resulting MSE value of 2,991 compared to the CNN-based model of 5,358 and the CNN-LSTM combination model of 4,065. From the results of this experiment, the ViT model can replace the existing model, namely the CNN model and the combination model between CNN and LSTM, in predicting the steering angle of an autonomous car.
The Influence of Perceived Usefulness, Satisfaction, and Personalization on Subscription Video on Demand Continuance Intentions Natasya Elora Carissa; Muhammad Erlangga; Cindy Sonesha Evik; Putu Wuri Handayani
CommIT (Communication and Information Technology) Journal Vol. 17 No. 2 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i2.8446

Abstract

The rapid development of Subscription Video on Demand (SVoD) services in Indonesia makes it promising. The change in consumers’ behavior from watching movies through television channels and cinemas to online streaming has encouraged industry players to look for innovation. The research aims to analyze factors influencing the intention to continue using SVoD with Netflix as the case study. The research combines two theories, namely Information System Success (ISS) Model and Expectation Confirmation Theory (ECT). The research also adds an aspect of personalization which is one of the characteristics of SVoD services. There are 623 respondents who have used Netflix’s SVoD service at least once (purposive sampling) to participate in the research. The data are analyzed using the covariancebased structural equation model and facilitated using AMOS 26 program. The results indicate that service quality has a positive effect on confirmation. Then, system quality has a positive effect on perceived usefulness, and confirmation has a positive effect on satisfaction. Moreover, satisfaction, perceived usefulness, and personalization positively affect continuance intention to use SVoD services. Based on these results, the research is expected to contribute to SVoD service providers to evaluate their services so that users have the intention to continue using the SVoD services.

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