Asia-Pacific Journal of Information Technology and Multimedia最新文献

Internet of Things (IoT) Intrusion Detection by Machine Learning (ML): A Review 物联网(IoT)入侵检测的机器学习(ML):综述

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2023-06-01 DOI: 10.17576/apjitm-2023-1201-02

Iman Farhadian Dehkordi, K. Manochehri, Vahe Aghazarian

引用次数: 0

Anatomy of Network Security Execution through Utilizing SPSS to Evaluate Public Wi-Fi 利用SPSS对公共Wi-Fi进行评估，剖析网络安全执行

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2023-06-01 DOI: 10.17576/apjitm-2023-1201-06

Amani Balqis Johal, Aws A. Abdulsahib

引用次数: 0

Investigating The Correlation between The Five Major Personality Traits and a Student’s Online Habits 调查五种主要人格特征与学生上网习惯之间的关系

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2023-06-01 DOI: 10.17576/apjitm-2023-1201-04

Siti Maisarah Zurkarnain, Aws A. Abdulsahib

引用次数: 0

Arabic Text Summarization using Pre-Processing Methodologies and Techniques 使用预处理方法和技术的阿拉伯语文本摘要

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2023-06-01 DOI: 10.17576/apjitm-2023-1201-05

Mohamed Yassin Abdelwahab, Zainab Abu Bakar, Yazeed Al Moaiad

引用次数: 0

Inclusive Design Requirement in Designing Accessibility for Low Cognitive Users 低认知用户无障碍设计中的包容性设计要求

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2023-06-01 DOI: 10.17576/apjitm-2023-1201-01

Nur Rahmah Zulkifli, N. Sahari, Nor Azan Mat Zin, Rosadah Abdul Majid

引用次数: 0

Senibina Anotasi Data untuk Mengesan Kemurungan Secara Automatik

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2023-06-01 DOI: 10.17576/apjitm-2023-1201-03

Yun Yao Chang, Nazlia Omar

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Culturicon Design Model: A Case of Designer’s Validation Process 文化图标设计模型:一个设计师验证过程的案例

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2023-06-01 DOI: 10.17576/apjitm-2023-1201-07

Mohd Zhafri Mohd Zukhi, H. Husni, Azham Hussain

引用次数: 0

A User Study on Virtual Tutor Mobile Augmented Reality from Undergraduate Medical Student Perspectives 基于医科本科生视角的虚拟教师移动增强现实用户研究

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2023-06-01 DOI: 10.17576/apjitm-2023-1201-08

Nur Athirah Hassan Basri, Rahmita Wirza O.K. Rahmat, H. Madzin, R. Hod

引用次数: 0

PRIVACY BASED CLASSIFICATION MODEL OF PUBLIC DATA BY UTILIZING TWO-STEPS VALIDATION APPROACH 基于两步验证方法的公共数据隐私分类模型

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2022-12-31 DOI: 10.17576/apjitm-2022-0101-10

M. Hussin, R. A. Raja Mahmood

{"title":"PRIVACY BASED CLASSIFICATION MODEL OF PUBLIC DATA BY UTILIZING TWO-STEPS VALIDATION APPROACH","authors":"M. Hussin, R. A. Raja Mahmood","doi":"10.17576/apjitm-2022-0101-10","DOIUrl":"https://doi.org/10.17576/apjitm-2022-0101-10","url":null,"abstract":"Digital information has become a trend and is integral to modernizing and leveraging various resources in Information Technology (IT). Vast data and information can be obtained anytime and anywhere at our fingertips through ICT facilities. This is considered public data due to its being shared publicly, such as on social media. Public data can be arranged according to various criteria and formats. Users have a right to understand which data can be publicly shared and which data is supposed to be in a private state. However, people always misunderstand and mislead which data needs to be secured and which can be shared. It is further critical when this public data is already exposed to data breaches and data theft. In this work, we propose a data privacy classification approach for public data where this data resides on digital platforms. It aims to inform the public about the level of data privacy before they reveal it on open and free digital platforms. We employed three different privacy classes: low, medium, and high. In response to that, we identified entities of public data that refer to digital information platforms such as websites, mobile apps, and online systems. We then dug further into the data attributes of each entity. The public data attributes are sorted and passed to respondents to obtain their input regarding their decisions on which privacy class is suitable for the respective attribute. Based on the input from respondents, we then used a Naive Bayesian classifier to generate probability weightage for re-assigning the data attributes into the most suitable privacy class. This two-level data classification stage brings better perspectives on data privacy. This modified version of the public data privacy class is then verified by the respondents to analyze their preferences while measuring users’ satisfaction. According to the results, our public data privacy classification model meets public expectations. Optimistically, well-organized data classification contributes to better data practices.","PeriodicalId":160138,"journal":{"name":"Asia-Pacific Journal of Information Technology and Multimedia","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132754091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

THE USABILITY EVALUATION OF ADOLESCENT DEPRESSION SCREENING MODEL USING COGNITIVE WALKTHROUGH 基于认知演练的青少年抑郁症筛查模型可用性评价

Asia-Pacific Journal of Information Technology and Multimedia Pub Date : 2022-12-31 DOI: 10.17576/apjitm-2022-0101-06

Nurul Fasihah Jamaludin, Tengku Siti Meriam Tengku Wook

{"title":"THE USABILITY EVALUATION OF ADOLESCENT DEPRESSION SCREENING MODEL USING COGNITIVE WALKTHROUGH","authors":"Nurul Fasihah Jamaludin, Tengku Siti Meriam Tengku Wook","doi":"10.17576/apjitm-2022-0101-06","DOIUrl":"https://doi.org/10.17576/apjitm-2022-0101-06","url":null,"abstract":"This study focuses on evaluating the usability of a newly developed model for depression screening. The model was designed to address the issue of adolescent motivation during the gamification-based depression screening. Depression causes adolescent to experience emotional changes including hopelessness, lack of self-confidence and a sense of worthlessness which ultimately makes them unmotivated to undergo a face-to-face depression screening in medical institution. In this regard, the model applied gamification elements comprises game mechanics and components, extrinsic and intrinsic motivational elements, and types of user. A prototype was developed to validate the generated model. Subsequently, the prototype was evaluated using the cognitive walkthrough method which examines its usability. Five respondents with expertise in the field of adolescent counselling and human-computer interaction were involved in the evaluation. The analysis found that the model has a high level of usability, as all respondents have given positive feedback on the sets of task provided. These findings validated the model in diagnosing depression through the inspection testing. It can be concluded that the model could be adopted as a guideline in developing an actual depression screening system. The model has also undergone some improvements, specifically by providing clearer details on every gamification design element involved.","PeriodicalId":160138,"journal":{"name":"Asia-Pacific Journal of Information Technology and Multimedia","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115488268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0