Journal of Informatics Information System Software Engineering and Applications (INISTA)

Comparative Analysis Of Usability Value On Online Shop Fashion Websites Using The System Usability Scale (SUS)

2023-12-13T15:44:17+08:00

The results of the We Are Social survey in April 2021, Indonesia is a country that has the highest percentage of e-commerce usage in the world. The increasing use of e-commerce in Indonesia and the most sought-after e-commerce products in the fashion sector make online fashion shops potentially good in Indonesia. The development of e-commerce engaged in fashion apart from having a mobile application, there is also a website that can be accessed without having to download it on the device used. The quality of an e-commerce website affects the number of users who choose to shop online from an e-commerce website. This research aims to find out whether there are differences in the usability value of websites in the field of online shop fashion contained in the top brand award in the retail category. The websites are Zalora.co.id, Berrybenka.com, Fashiontoday. co, and Cottonink.co.id. Knowing the usability level of the website uses the System Usability Scale (SUS) method. The four websites have different average SUS scores but for the grading scale, the four websites are in grade D, the adjective scale is in the OK category, acceptable is at the marginal level, and NPS is in the detractor category.

Ensemble Machine Learning to Detect Sarcasm in English on Twitter Social Media

2023-12-13T15:44:17+08:00

Detecting sarcasm in English tweets on social media platforms like Twitter is a complex task due to its subtle and ambiguous nature. This study explores the use of ensemble machine learning techniques, including Logistic Regression, Naive Bayes, Decision Tree, and Support Vector Machine (SVM), to effectively identify sarcasm. A dataset containing sarcastic and non-sarcastic English tweets was collected and preprocessed. Features representing lexical, syntactic, and semantic information were extracted to train and evaluate the ensemble models. The Support Vector Machine method demonstrated the highest performance among the techniques employed, achieving an accuracy of 80% and an F1-score of 80% for sarcasm detection. This highlights the efficacy of Support Vector Machines in capturing complex patterns and differentiating between sarcastic and non-sarcastic tweets. By leveraging the strengths of multiple machine learning algorithms, the ensemble approach enhances the overall performance of the sarcasm detection system. It provides a more robust and accurate detection of sarcasm, thereby improving the understanding of user sentiments and opinions in online conversations. This research contributes to sentiment analysis and natural language processing, offering valuable insights into sarcasm detection in social media. The findings have practical implications for interpreting user-generated content on platforms like Twitter, enabling a better understanding of user sentiments and facilitating more meaningful interactions.

Development of Science Education Game Base on Computer Vision for Primary School Student

2023-12-13T15:44:17+08:00

In this research, a discussion was carried out regarding the use of computer vision in educational games developed using the Python programming language and the Mediapipe library. Game applications must be able to capture hand movements and create hand landmark models. These landmarks are used to move the snake's head in the Snake Game and answer questions in the Virtual Quiz. The aim of this research is to develop interest and increase focus in elementary school students with educational games. An analysis was carried out on the results of the respondent's questionnaire to determine the impact of using educational games on students' interest in learning. It was found that 80% of these educational games helped students understand learning concepts. The games developed are also appropriate to the level and knowledge of skills, especially for grade 2 and 3 students with a percentage score of 60%. There are obstacles to the development of this educational game, namely 30% of respondents experiencing difficulties in using it. Sometimes hand movements cannot be captured properly, if the distance of the hand from the camera is too close or far.

Classification of Palm Fruit Ripeness Level Using Learning Vector Quantization (LVQ) Method

2023-12-13T15:44:18+08:00

The implementation of Learning Vector Quantization (LVQ) to classify the ripeness of oil palm fruits is investigated in this study. In addition, this study provides a comprehensive set of procedures ranging from data collection and pre-processing to training and testing of the LVQ model, and finally, the proposed method has been validated by testing it on previously unseen data. Three feature extraction methods, specifically Gray-Level Co-occurrence Matrix (GLCM), Hue, Saturation, and Value (HSV), and t-Distributed Stochastic Neighbor Embedding (t-SNE), were assessed for their performance. The results show that the chosen feature extraction method strongly influences the classification performance. The accuracy of the model employing t-SNE features is notably the highest at 50%, indicating its efficacy in identifying the ripeness level of palm fruits by extracting pertinent features. On the other hand, the GLCM feature has a 40% accuracy in the test data, suggesting that although it captures information on texture, it may not comprehensively encapsulate ripeness characteristics. Additionally, the HSV feature achieves an accuracy of 45%, which is less precise than that of t-SNE. To conclude, this study elucidates the appropriateness of various feature extraction techniques in categorizing the degree of ripeness in palm fruits. The t-SNE feature extraction model stands out as the most efficient option, exhibiting greater precision in comparison to other methodologies.

Analysis of Factors Affecting User Satisfaction on SinegesJuara Application Using TAM and EUCS

2024-01-15T16:19:04+08:00

SinegesJuara is an attendance application developed to provide real-time student attendance monitoring, allowing students to access and record their school attendance flexibly. Despite its popularity, SinegesJuara faces user challenges that have prompted researchers to investigate user satisfaction levels. This research analyzed user satisfaction factors by combining the TAM and EUCS methods, aiming to understand user satisfaction with the application. The research utilized the Slovin formula to determine a minimum sample size of 91 participants. Data analysis was conducted using the SEM-PLS approach with SmartPLS 3.2.9 software. The research findings indicate that the user satisfaction level with the SinegesJuara application is 78.77%, falling into the "Satisfied" category. This demonstrates that SinegesJuara fulfills its objectives, leading to user satisfaction. The results of the TAM method show that the Perceived Usefulness variable obtained a t-statistic value of 2.081, and the Attitude Toward Using variable obtained a t-statistic value of 7.877. Similarly, with the EUCS method, the Format variable obtained a t-statistic value of 2.445. As a result, it can be concluded that these three hypotheses significantly influence user satisfaction with the SinegesJuara application. In comparison, the other five hypotheses are rejected because they do not have a significant impact.

An Information System Design Development “OKE ANIMAL” for Animal Clinic DISNAKKAN Kabupaten Ciamis Using The Prototype Method

2024-01-26T12:40:58+08:00

This study presents a comprehensive investigation into the development and evaluation of an information system designed to streamline administrative record-keeping within the veterinary clinic of DISNAKKAN Ciamis. The observation phase, involving in-depth discussions with veterinary clinic staff, underscored the imperative need for an information system to enhance the management of patient data, medical records, and cirobis records. Significantly, this system is custom-tailored to accommodate the unique background of veterinary clinic officers, ensuring user-friendliness and swift adoption. The literature study buttressed the case for digital record-keeping, offering a compelling argument for minimizing data discrepancies through digital database recording. The prototype method was employed to guide the development process, commencing with extensive communication and quick planning. UML diagrams provided a roadmap for system functionality. The resulting prototype system, featuring login mechanisms, data entry forms, and data display components, was designed to elevate administrative efficiency. The deployment of the system and its usability assessment using the SUS method shed light on the user experience. This research marks a significant stride in enhancing administrative record management at the veterinary clinic of DISNAKKAN Ciamis, improved data management and record-keeping, while setting a valuable precedent for future system development in similar contexts.

Implementation of Application and Product System (SAP) in Metal Coating Process Manufacturing Company

2024-02-29T13:47:09+08:00

In the development of the Industrial Revolution 4.0 era, the use of an Enterprise Resource Planning System is a long-term investment for a company to improve efficiency, performance, and decision-making tools for the company. In general, it uses a centralized database for various business processes to reduce manual labor and simplify existing business workflows. ERP systems usually contain Dashboards where users can view real-time data collected from across the business to measure productivity and profitability. This means that any data or information received will be updated immediately as soon as the user inputs the data into the time system even though the data has been closed, the company can know and control the condition of the company every day and can control a production process so that decision making can be done quickly, carefully, and precisely because it is based on valid internal data and is always up to date. there is still a difference in data between the transaction process, The purpose of the research is to process information in real-time and accurately, The research stage begins with a literature study, hardware prototypes, and making programs, The results of the research are an increase in transaction accuracy of 43% after SAP implementation is optimally implemented.

Real Time Smart Trash Bins Monitoring System Using Fuzzy Logic Method in Kuripan Village

2024-02-29T14:09:37+08:00

The rise of electronic technology has transformed people's lifestyles, and they now want convenience, automation, and flexibility, including when it comes to keeping the environment clean by disposing of rubbish where it belongs. However, despite the importance of this issue, awareness of the need to dispose of waste in its proper place remains low. Additionally, garbage bin supervision in Kuripan Village is still manual, exacerbating the problem of waste accumulation caused by the increasing population. To address this issue, we developed an IoT-based system that utilizes the Fuzzy Logic method. This mathematical approach enables the modeling of uncertainty in data processing. The system allows for real-time monitoring of the garbage load level, notifying staff when action is required. The Fuzzy Logic method is then used to determine the appropriate action based on the garbage load level and the last cleaning time. This research involves developing a prototype that uses NodeMCU ESP8266, HC-SR04 ultrasonic sensor, and LCD for data monitoring. The sensor testing demonstrated an accuracy of approximately 96.7%. The system includes an application interface with a login page, main dashboard, volume dashboard, and time dashboard.