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HENGKI TAMANDO
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Journal Basic Science and Technology
Published by Institute of Computer Science
ISSN : 20898185     EISSN : 28081498     DOI : https://doi.org/10.35335/jbst
Core Subject : Science, Engineering,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Materials Science & Nanotechnology Mechanical Engineering
This journal is devoted to identifying, mapping, understanding, and interpreting new trends and patterns in the development of science & technology especially in developing countries in this world. The journal endeavors to highlight science & technology development from different perspectives. The aim is to promote broader dissemination of the results of scholarly endeavors into a broader subject of knowledge and practices and to establish an effective means of communication among academic and research institutions, policymakers, government agencies, and persons concerned with the complex issue of science & technology development
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol 12 No 2 (2023): June: Basic Science and Technology" : 5 Documents clear
Development of Real Time Transaction Based Android E- Ticket Application as Regional Tax Monitoring Facilities Vicinthia Veren Sudrajat; Permata Ayu Rahmawati; M.Rizqika Brimadi H
Journal Basic Science and Technology Vol 12 No 2 (2023): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

Local entertainment attractions in the Kab. There are a lot of Probo- linggo, this is not spared for the local government to apply an entertainment tax on the taxpayer sector according to the amount of income. However, there are still entertainment tax objects whose ticket sales use a manual system where tickets and taxpayer pay- ments as well as SPTPD reports (Regional Tax Returns) are all written manually. One of them is the Ayu Rejeki Swimming Pool Tourism Object. This is considered ineffective on the part of the taxpayer, and the large amount of tax paid is less accurate on the part of the Pro- bolinggo Regency regional government revenue agency. To ove-r come this, tax monitoring activities are carried out at the tax object so that the amount of tax deposit paid is in accordance with the results of ticket sales revenue for the tax object. In order to support monitoring activities, a special application was created for Pool Taxpayers Ayu Fortune in the form of Android-based e-Tickets and real-time transact- tions. The method used to create this e-Ticket application is the REST API; HTTP request methods GET, POST, PUT, and DELETE. The e- Ticket application, which has real-time transaction capabilities, directly records the number of transactions or income in the tax object to the regional tax monitoring dashboard (this will later become the taxpayer's e-SPTPD report) Kab. Probolinggo. This application is equipped with a ticket price master feature, can print tickets directly, and recap transactions/income globally, daily or monthly. Application testing that has been used states that the system records transactions in real time. So it can be concluded that the e-Ticket application is very profitable or very good for both parties with transaction efficiency and automatic SPTPD reports. The Probolinggo Regency regional govern- ment revenue agency will also benefit from increased accuracy of tax payments from taxpayers.
Implementation of Information Retrieval System for Document Search Based on User Keywords Adjie Arya S W
Journal Basic Science and Technology Vol 12 No 2 (2023): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

This journal discusses the importance of information in everyday life and the challenges of finding specific information in the digital era where large amounts of data are available. An effective information retrieval system is needed to assist users in finding the information they need. This paper focuses on the implementation of an information retrieval system for searching news articles based on user keywords using the Vector Space Model (VSM) algorithm, which is commonly used in information retrieval systems. The system indexes and analyzes news articles using VSM to generate a list of relevant documents based on user keywords. The goal of this research is to explain how this system can help users find news articles that meet their needs and to discuss the advantages and disadvantages of information retrieval systems, as well as potential future developments in this field. This paper provides valuable insights for researchers and practitioners in the field of information retrieval systems.
Web-based e-shop design (case study of cv. Maju jaya group) Oki Dewa
Journal Basic Science and Technology Vol 12 No 2 (2023): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

Web-based sales programs are software applications designed to assist users in managing their online sales business. This program has features that include product management, customer management, sales management, stock management, sales reports, payment integration, and security. Through product management, users can add, edit and remove products from the program.  Customer management allows users to manage customer information, such as name, address and purchase history. Sales management allows users to create, edit and delete sales, while stock management allows users to track product stock and receive alerts when a product is low on stock. Sales reports provide users with an overview of their business performance in the form of graphs or tables. Integration with payment services such as PayPal or Stripe allows customers to easily make payments online. Finally, program security is very important to ensure that customer data and transactions are safe from security threats such as hacking or data theft. In order to create an effective web-based sales program, it is important to consider an intuitive and easy-to-use user interface and ensure that the program is easily accessible and usable via the internet. By using a web-based sales program, users can increase their business efficiency and improve their customer's experience in shopping online.
The Impact of the Jigsaw Type Cooperative Learning Model on Independent Learning and Social Studies Achievement Ginanjar Pratama; Tirsa Christiani
Journal Basic Science and Technology Vol 12 No 2 (2023): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

This research delves into the impact of the Jigsaw Type Cooperative Learning Model on students' independent learning processes and social studies learning achievement. The study employs a quasi-experimental design, involving both experimental and control groups from middle and high school levels. The Jigsaw Type model, an extension of Elliot Aronson's original Jigsaw method, is implemented to assess its influence on collaborative learning, individual accountability, and academic outcomes. Quantitative data, including pre and post-assessment scores, are subjected to statistical analyses, revealing statistically significant improvements in social studies achievement within the experimental group. Concurrently, qualitative data derived from surveys, teacher observations, and student reflections highlight positive perceptions and collaborative dynamics during Jigsaw Type sessions. The findings suggest a positive correlation between the Jigsaw Type Cooperative Learning Model and enhanced social studies learning achievement. Additionally, the model demonstrates efficacy in fostering independent learning skills, emphasizing the importance of collaboration and autonomy in tandem. This research contributes to the existing literature by specifically examining the Jigsaw Type model within the context of social studies education. The study advances our understanding of the nuanced relationship between cooperative learning, individual autonomy, and academic success.
Deciphering Digital Emotions: A Comprehensive Sentiment Analysis on Social Media Data Axele Bowen; Nia Adinda
Journal Basic Science and Technology Vol 12 No 2 (2023): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

In the ever-expanding digital landscape, understanding the nuances of human emotions as expressed on social media platforms is paramount. This research embarks on a comprehensive sentiment analysis journey, employing advanced Natural Language Processing (NLP) techniques to unravel the emotional tapestry within a carefully curated social media dataset. The study encompasses meticulous preprocessing steps, ranging from data cleaning to feature extraction, and culminates in model training using state-of-the-art architectures such as LSTM and BERT. The findings reveal intricate patterns and trends in sentiment dynamics, offering insights into emotional intensities, temporal fluctuations, and resonant themes. Comparative validations against existing literature and baseline models contribute to the robustness and contextualization of our approach. Ethical considerations, including privacy protection and bias mitigation, underscore the responsible foundation of our analysis. The research not only provides a granular understanding of digital sentiments but also paves the way for future advancements, addressing ongoing challenges and guiding stakeholders in navigating the evolving landscape of emotions within the digital realm.

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