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International Journal of Informatics and Communication Technology (IJ-ICT)
ISSN : 22528776     EISSN : 27222616     DOI : -
Core Subject : Science,
International Journal of Informatics and Communication Technology (IJ-ICT) is a common platform for publishing quality research paper as well as other intellectual outputs. This Journal is published by Institute of Advanced Engineering and Science (IAES) whose aims is to promote the dissemination of scientific knowledge and technology on the Information and Communication Technology areas, in front of international audience of scientific community, to encourage the progress and innovation of the technology for human life and also to be a best platform for proliferation of ideas and thought for all scientists, regardless of their locations or nationalities. The journal covers all areas of Informatics and Communication Technology (ICT) focuses on integrating hardware and software solutions for the storage, retrieval, sharing and manipulation management, analysis, visualization, interpretation and it applications for human services programs and practices, publishing refereed original research articles and technical notes. It is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in ICT.
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Articles 14 Documents
Search results for , issue "Vol 13, No 1: April 2024" : 14 Documents clear
Predicting rainfall runoff in Southern Nigeria using a fused hybrid deep learning ensemble Ojugo, Arnold Adimabua; Ejeh, Patrick Ogholuwarami; Odiakaose, Christopher Chukwufunaya; Eboka, Andrew Okonji; Emordi, Frances Uchechukwu
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 13, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v13i1.pp108-115

Abstract

Rainfall as an environmental feat can change fast and yield significant influence in downstream hydrology known as runoff with a variety of implications such as erosion, water quality, and infrastructures. These, in turn impact the quality of life, sewage systems, agriculture, and tourism of a nation to mention a few. It chaotic, complex, and dynamic nature has necessitated studies in the quest for future direction of such runoff via prediction models. With little successes in use of knowledge driven models, many studies have now turned to data-driven models. Dataset is retrieved from Metrological Center in Lagos, Nigeria for the period 1999-2019 for the Benin-Owena River Basin. Data is split: 70% for train and 30% for test. Our study adapts a spatial-temporal profile hidden Markov trained deep neural network. Result yields a sensitivity of 0.9, specificity 0.19, accuracy of 0.74, and improvement rate of classification of 0.12. Other ensembles underperformed when compared to proposed model. The study reveals annual rainfall is an effect of variation cycle. Models will help simulate future floods and provide lead time warnings in flood management.
Influence live streaming TikTok to purchase intention of skincare products in Indonesia Rajagukguk, Nova Winda; Suwarno, Wulan; Anggraeni, Adilla
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 13, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v13i1.pp80-90

Abstract

TikTok Live Streaming accommodates the needs of sellers to be able to communicate two-way between sellers and buyers. A new type of online business called live streaming allows users to watch and make purchases. The host is the person who sells the goods during the live-streaming event, and the live streaming platform is the location where the live-streaming takes place. The purpose of this study is to further understand the factors that determine customer purchase intention through tiktok live streaming using the IAM model. In previous research, several variables in the IAM model have a positive correlation with purchase intention. This study aims to see the impact of adding one variable, namely perceived persuasiveness within the framework of the IAM model on purchase intention. This research aims to see the impact of adding one variable, perceived persuasiveness in IAM model framework on purchase intention. This study using the quantitative method was employed using partial least square structural equation modeling (PLSSEM). The SmartPLS 4.0 software was applied to examine the proposed model.
Navigating the cyber forensics landscape a review of recent innovations Panigrahi, Gyana Ranjana; Barpanda, Nalini Kanta; Sethy, Prabira Kumar
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 13, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v13i1.pp27-33

Abstract

The extensive relevance of digital forensics in today's data-driven environment has been emphasized in this article. The free software and the commercial software community are debatable, despite users and developers often differing views on important topics like software safety and usability. This article primarily uses pre-defined criteria and a platform-oriented approach to examine promising freeware (Magnet Forensics and Sleuth Kit) vs. profitable (ProDiscover and Oxygen Forensic Suite) mobile forensics tools. Under diverse settings, the tools' capacity to develop and analyze forensically sound digital forensic media sources is validated. After erasing data, each media type was tested again after formatting. The study concludes with a comparison matrix that may aid in determining the best-fit option for the investigation's requirements among the tools. The findings indicate the potential for freeware to supplant numerous proprietary applications, as users can opt for freeware instead of incurring costs associated with proprietary software. Furthermore, this perception can be put into practice.
Factors affecting customers intention towards online pharmacies in Indonesian market Ferawaty, Ferawaty; Antonio, Wakky; Anggraeni, Adilla
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 13, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v13i1.pp91-100

Abstract

Online pharmacies are a promising business model for promoting online sales of medicines. The purpose of this study is to investigate how technology acceptance model (TAM) variables (perceived ease of use and perceived usefulness), perceived trust, perceived performance risk, and perceived physical risk influence customers' intention to use online pharmacy. A questionnaire survey was used to collect data for the planned study. The results showed that perception of trust is a critical factor influencing costomers intention to use an online pharmacy. The reluctance of customers to buy medicines, categorized as risk, through online pharmacies which was originally thought to be a determining factor, has no impact if customer trust in online pharmacy has been formed. This study has several relevances for advancing online pharmacy promotion including the importances of user-friendly and benefits provided by online pharmacies provider. It is very important how online pharmacies providers can increase customers trust in terms of legality, quality and security of personal data.

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