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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 6 Documents
 1 
Search results for , issue "Vol. 14 No. 2 (2020): CommIT Journal" : 6 Documents clear
How Twitter Works in Public Transportation: A Case Study of Bus Rapid Transit in Jakarta and Semarang Surya Hidayat Bokings; Achmad Nurmandi; Mohammad Jafar Loilatu
CommIT (Communication and Information Technology) Journal Vol. 14 No. 2 (2020): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v14i2.6400

Abstract

The research focuses on using social media (Twitter) as a medium for public transportation services (Bus Rapid Transit - BRT) in Semarang and Jakarta. The research uses Nvivo 12 Plus as a tool in qualitative research methods. The results show that the function regarding Twitter accounts of BRT in Semarang and Jakarta has several differences. The difference is based on information integration services, interaction information and transparency, and adaptive and responsive information services. In conclusion, the information integration on Twitter accounts of BRT in Semarang and Jakarta services works well, but a more dominant function is found in BRT in Jakarta. The Twitter account of BRT in Jakarta provides more information on transportation routes, such as the number of routes and fleets. BRT in Jakarta is a responsive account, responding to questions or mentions given by its users. The high level of activity makes the BRT Jakarta account more active. Moreover, the form of information conveyed by the Twitter account of BRT Semarang has its characteristics because it shows more the character of the region (Central Java).
Visual Recognition to Identify Helmet on Motorcycle Rider Using Convolutional Neural Network Kevin Alexander; Rayhan Ardiya Dwantara; Raihan Muhammad Naufal; Derwin Suhartono
CommIT (Communication and Information Technology) Journal Vol. 14 No. 2 (2020): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v14i2.6564

Abstract

The amount of motorcycle accidents is increasing each year. The main reason is that the riders do not wear a helmet. The research aims to minimize the accident by training the machine learning using the IBM Watson Studio. It trains the data about “wearing helmet” and “not wearing helmet”. The used method is Convolutional Neural Network (CNN). About 170 image datasets are used. CNN is conducted on the input image using a kernel or filter. The filter will multiply its values with the overlapping values of the image while also sliding and adding them all to produce a single value for each of them until the entire images have passed and finished. After CNN method is done, the researchers can classify the images by using supervised learning. It can identify whether the rider is wearing a helmet or not simply by scanning a picture on the street. The result shows high accuracy of 92.87%. The method can be used to minimize the percentage of motorcycle accidents caused by not wearing a helmet.
The Determinant Factors of E-Commerce Usage Behavior During Flash Sale Program Arta Moro Sundjaja; Gladys Valentina Arisanto; Sarah Fatimah
CommIT (Communication and Information Technology) Journal Vol. 14 No. 2 (2020): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v14i2.6582

Abstract

The research objective is to analyze the determinant factors of the purchase intention during a flash sale program. It is conducted from October 2018 to January 2019. The researchers apply a quantitative approach. The sampling technique is snowball sampling. The survey data are collected from 210 respondents who shop online in Indonesia using questionnaires. The data are examined using Structural Equation Modelling (SEM) with AMOS ver. 25. The research results indicate that the effect of perceived usefulness, information quality, and web quality on purchase intention are mediated by attitude. The flash sale program has a moderating impact on purchase intention. The effect of perceived ease of use and trust in the purchase intention mediated by attitude is not significant. The R-squared value of attitude on e-commerce is 0.527, and purchase intention is 0.369. These research results are important for e-commerce management to understand the essential factors of purchase intention during a flash sale program.
Information Technology Governance Disclosure in Annual Report of Indonesia Financial Institutions Weli Weli
CommIT (Communication and Information Technology) Journal Vol. 14 No. 2 (2020): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v14i2.6626

Abstract

The research aims to analyze the level of information technology (IT) governance disclosure in the annual report of financial companies and influencing factors in the exposure of IT governance. It distinguishes financial companies into two groups, namely banking and non-banking financial sectors. The data collection method used is the content analysis of the 2017 annual report from the companies. The results of 76 financial companies show that the level of IT governance disclosure by financial companies in Indonesia is higher than in previous studies in southern Africa and Belgium. Data analysis also shows that the determinants of IT governance disclosure are different in the two groups of companies. The determinant of IT governance disclosure for the banking industry is profitability, while the nonbanking financial sector is the company size.
The Effects of the Students’ Hierarchy of Needs in an Indonesian Private Academy on the Intention to Buy in Social Commerce Fatimah Muthmainnah; Fergyanto E. Gunawan
CommIT (Communication and Information Technology) Journal Vol. 14 No. 2 (2020): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v14i2.6641

Abstract

In line with Internet users’ growth in Indonesia, many people buy and sell goods and services through social networking sites. This activity is social commerce, and it primarily affects the millennials, such as private academy students. The research is conducted to determine the effects of the hierarchy of needs in a private academy in Indonesia on students’ intentions to buy in social commerce. Facebook, Instagram, and Whatsapp are the used social commerce in the research. The questionnaire is answered by 126 respondents consisting of indicators from Maslow’s hierarchical needs. The analysis technique is Partial Least Square (PLS) with the SmartPLS 3.0 program. Hypothesis test results show that transcendence, self-actualization, cognitive needs, and physiological needs have no significant effect on the intention to buy in social commerce. Meanwhile, esteem needs, safety needs, aesthetic needs, and belonging and love needs affect intention to buy.
Spatially Filtered Ridge Regression Modeling to Find Out the Rice Production Factors in East Java, Indonesia Vita Dewi Islami; Rahma Fitriani; Henny Pramoedyo
CommIT (Communication and Information Technology) Journal Vol. 14 No. 2 (2020): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v14i2.6665

Abstract

The research aims to model rice production in East Java using the Spatially Filtered Ridge Regression (SFRR) method and ensure that all violations of assumptions are resolved by knowing the direct and indirect effect of predictor variables. The data are secondary data sourced from the publication of Badan Pusat Statistik containing provincial food crop agriculture statistics in East Java and the 2018 publication of Dinas Pertanian Jawa Timur (literally translated as Agriculture Department of East Java). The data analysis process is done by RStudio and ArcMap 10.3 software. In the research, the observation unit is 38 regencies or cities in East Java. The analysis results show that SFRR with queen contiguity weighting can overcome spatial autocorrelation and multicollinearity in rice production data in East Java. As for the established model, the variables of rice field area, urea fertilizer, Phonska fertilizer, SP-36 fertilizer, and tractor have a significant effect on rice production. However, ZA fertilizer has no significant effect on rice production. Then, a large comparison of direct and indirect impacts for each predictor variable is also generated. Generally, direct impacts are greater than indirect impacts.

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