International Journal of Computer Science and Humanitarian AI

User Requirement Analysis on Sales Information System at PT. MITRA INDOLINK

2024-09-04T19:23:08+00:00

The era is developing very quickly and dynamically, creating many changes that result in tight competition in the business world. The business world needs to follow the progress of information systems. Analysis of user needs in the business world needs to be done in order to find out the various needs of the company. The purpose of this study is to find out the results of the analysis of user requirements that are needed and that can support sales operations in the sales information system of PT. Mitra Indolink Grosir supports the company's sales operations. The research method used is by interviewing users of the information system which is then processed using the System Usability Scale (SUS) technique. The results of the analysis show that the sales information system with the TikTok shop application can be used efficiently and meets user needs (user requirements) with a value of 69.65 which is included in grade C.

A Systematic Literature Review: Cyber Attack: Phishing Environments, Techniques, and Detection Mechanism

2024-09-09T10:27:35+00:00

In this digital era, phishing has attacked many platforms such as email, website, message, link form. Phishing is an act of creating a website that is exactly like the original website that is used to take someone's personal data. Phishing causes loss of customer confidence to use any application or website. Most of the victims of phishing are people who do not understand phishing or an organization. This kind of cyber-attacks consist of various types and countermeasures that need to be considered for the public user to prevent phishing based on phishing techniques, educate individuals about these attacks, and encourage the use of phishing prevention techniques. This paper consists of types of phishing and awareness to wary of phishing to overcome them. Therefore, the goal of this study is to identify the most typical environments for phishing attacks in order to ascertain the most popular media and technique. The authors of this study plan to conduct a Systematic Literature Review (SLR) of studies that have been done on the subject that was just described. The authors come to the overall conclusion that a website is the ideal option for phishing attacks using social engineering techniques. Additionally, the authors offer numerous suggestions for preventing phishing with various techniques. However, the most effective defense against phishing attacks is identification of phishing attempts through education and training.

Development of Telegram-Based Home Automation and Data Acquisition System

2024-10-07T10:04:16+00:00

Home automation and data acquisition system using Telegram application makes us able to automate tasks related to control and monitoring through a system installed at home or building. In this research, we propose an algorithm and architecture used for Telegram-based home automation and data acquisition with environmental sensors such has temperature, humidity, CO2, and Volatile Organic Compounds (VOC) measurement (air quality) as indicator of good air quality. Based on experiment, we can detect the condition of environment, control the relay and the system able to give information about the quality of air from smartphone.

Implementation of Spatial Constraints in Clustering Algorithms: A Study on Basic Infant Immunization in Lamongan District During the COVID-19 Pandemic

2024-10-10T06:58:25+00:00

Algorithms for clustering data are important for data analysis, especially when finding patterns in big datasets. Nevertheless, the spatial limitations that are important in real-world contexts are generally ignored by the classic clustering approaches. Spatial variables have become more significant in the health industry, particularly during the COVID-19 pandemic, in terms of assessing population requirements and the allocation of healthcare resources. The purpose of this work is to investigate the use of spatial restrictions in clustering algorithms and to apply this method to COVID-19 immunization data from Lamongan District. The data analysis includes the 27 subdistricts of Lamongan District for the year 2021. Based on the peak of the COVID-19 pandemic, which had a major effect on baby immunization coverage, 2021 was chosen. The four basic baby immunization coverages—DPT-HB-Hib3, Polio 4, Measles, and BCG—are the variables that are used. Two methods are used: a neighborhood-like hierarchical clustering algorithm and spatial limitations. Distance-based spatial weights are better than proximity-based spatial weights when it comes to spatial constraints. This method is employed because an infant's coverage of all essential vaccines may be impacted by the spatial structure. We discovered that the fundamental baby immunization variable formed five clusters. It was discovered that cluster five had the highest immunization coverage among all the clusters. The three sub-districts that make up this cluster are Mantup, Kembangbahu, Tikung, Sarirejo, Deket, Glagah, and Karangbinangun.

Implementation of IoT Edge Computing for Control and Monitoring System of Hydroponic Plant Water Quality Using Raspberry Pi

2024-10-03T06:37:05+00:00

Hydroponics involves cultivating plants using a water-based medium mixed with mineral nutrients, continuously supplied to the roots 24/7. Factors such as water reserve height, temperature, nutrient content, and pH are crucial considerations in hydroponic farming. Connectivity issues to the internet-based cloud system can disrupt the monitoring and control system. To ensure the effective operation of the hydroponic plant control and monitoring system, IoT edge computing within the Local Area Network is necessary as an extension of the cloud system. Periodically, the system will transmit calculation results from water quality sensors to the cloud-based system through IoT edge computing, enabling decision-making within the Local Area Network and subsequent transmission to Internet of Things devices within the hydroponic system for optimal plant growth.

Assessing University Website Performance: A Comparative Analysis Using GTmetrix

2024-10-07T09:58:59+00:00

As the reliance on websites to disseminate information increases, universities are no exception, using websites as an important platform for their information systems. However, ensuring optimal website performance is imperative, as slow or unresponsive websites can lead to decreased user satisfaction and affect the university's reputation. This study aims to analyze and compare the performance of university information system websites from Indonesia’s top five universities against the world’s leading institutions in Computer Science and Information Systems based on QS World University Rankings by Subject 2023. Utilizing GTmetrix, a comprehensive performance assessment tool, key performance metrics such as First Contentful Paint (FCP), Speed Index (SI), Largest Contentful Paint (LCP), Time to Interactive (TTI), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS) were evaluated. The findings reveal a significant performance gap between the top universities globally and in Indonesia. While global universities demonstrate good performance across various metrics, Indonesian universities exhibit areas in need of improvement, particularly in metrics like FCP, SI, LCP, TTI, and CLS. Nevertheless, Indonesian universities excel in blocking time, suggesting strategic strengths that can be leveraged for overall performance enhancement. This study underscores the importance of regular attention to website performance to enhance user experience and maintain the university's reputation within the academic community.

Editorial, Foreword, and Table of Content

2024-10-10T10:28:46+00:00