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Journal : Journal of Computer Science Advancements

Threeyasa Group Banyuwangi Company Profile Design Arbekti Arman, Shevti; Wang, Yuanyuan; Zou, Guijiao
Journal of Computer Science Advancements Vol. 1 No. 1 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i1.404

Abstract

In this era of industrial revolution, it is undeniable that development progress is increasing to meet human needs in carrying out their activities. One of the groups that play an important role in this field is a company that focuses on tourism services. ThreeYasa Group is a Travel Agency business that was founded in 2020. Threeyasa Group is still fairly conventional in conducting promotions and communication with customers, namely utilizing the exchange of short messages only. ThreeYasa Group needs a digital platform to introduce its business to a wider audience. Company Profile is an effective promotional media design that can attract consumer attention and build cooperation with business people. Designing a company profile can make it easier for the owner to manage his business and make his business more dynamic. software development in making a company profile using the waterfall model. system analysis using interviews and observation methods. in visualizing actors with the system using usecase diagrams implemented using StartUML software. while coding uses the php programming language with Notepade++ software. Testing the system using Black Box Testing.
Number Board Media to Stimulate the Symbolic Thinking Ability of Children Aged 5-6 Years Saripah, Ipah; Tabroni, Imam; Wang, Yuanyuan; Zou, Guijiao
Journal of Computer Science Advancements Vol. 1 No. 2 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i2.456

Abstract

Children will experience a golden period that is very important and should not be missed until they are 3 years old. Because during these times, children's cognitive abilities are still growing and developing rapidly. In fact, about 80% of children's cognitive skills are optimized in the first 3 years of life, and up to 90% of their abilities will continue to develop until they reach the age of 5. Media is a tool that can be used as an intermediary in stimulating all aspects of development in early childhood both aspects of moral and religious values, physical motor aspects, language aspects, social emotional aspects and cognitive aspects. To stimulate all aspects of early childhood development cannot be separated from learning media because for early childhood learning is done through play using learning media both real media, audio media, visual media, environmental media and audio-visual media, so that learning activities in early childhood run effectively. This article will discuss how the influence of number board media in stimulating the symbolic thinking ability of children aged 5-6 years in Sumurugul Village.
Manipulative Learning Media as an Effort to Improve Understanding of Tajweed Learning Sa’adah, Nur; Tabroni, Imam; Wang, Yuanyuan; Zou, Guijiao
Journal of Computer Science Advancements Vol. 1 No. 2 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i2.478

Abstract

This class action research aims to improve students' understanding of tajweed learning through the application of manaipulative media in class IV MDTA Al-Mubarokah. The data needed in this study using Cycle I and II techniques. The results showed that the level of understanding of students towards learning tajweed through the application of manipulative media had reached 80% in cycle I and 90% in Cycle II. With the application of manipulative learning media, of course, to make it easier for students to be able to think in understanding the concept of tajweed learning conveyed by the teacher. Thus, teachers must be creative and innovative in learning, how teachers can create interesting and fun learning methods and media to motivate students to learn tajweed.
Index Card Match Learning Method to Improve Learning Concentration Raihan, Paqih; Tabroni, Imam; Wang, Yuanyuan; Zou, Guijiao
Journal of Computer Science Advancements Vol. 1 No. 2 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i2.480

Abstract

This study was motivated by the results of observations of researchers in class XI MA Daarul Ma'arif Pasawahan students in the PAI learning process in class. From the observation, it is known that there are still many students who do not pay attention to the teacher's explanation when delivering material in class. The concentration of students' learning is low, namely 62.5% of 29 people with a minimum completeness criteria of 75. Classical completeness is declared incomplete. This study aims to determine that the application of the index card match learning method can increase the concentration of PAI learning in class XI MA Daarul Ma'arif Pasawahan. This research was conducted in class XI MA Daarul Ma'arif Pasawahan. This research was conducted from February 2023 to May 2023. The subjects of this study were grade XI students with a total of 29 students consisting of 19 female students 10 male students. The form of this assessment is a class action assessment (PTK). The results showed that the application of the index card match method can increase the concentration of PAI learning in class XI students of MA Daarul Ma'arif Pasawahan in 2022/2023. The concentration of student learning before PTK was 66.7 with a category of less and classical completeness was 62.5% with an incomplete category. Learning concentration of cycle I meeting 1 was 75.8 with sufficient category and classical completeness was 87.5% with complete category. Learning concentration of cycle I meeting 2 was 79.2 with sufficient category and classical completeness was 91.7% with complete category. Cycle II learning concentration with meeting 3 was 82.1 with good category and classical completeness was 95.8% with complete category. Learning concentration of cycle II with meeting 4 was 87.9 with good category and classical completeness was 100% with complete category.  
The Influence of Artificial Intelligence Technology on User Experience in E-Business Haerawan, Haerawan; Mudinillah, Adam; Zou, Guijiao; Anggara, Reddy
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1623

Abstract

The rapid advancement of artificial intelligence (AI) technology has transformed the landscape of e-business, significantly influencing user experience. AI-driven tools such as chatbots, personalized recommendations, and predictive analytics are becoming integral to e-business platforms. Despite widespread adoption, understanding the extent to which AI enhances user satisfaction, engagement, and loyalty remains an area requiring further exploration. This research examines the influence of AI technology on user experience in e-business, focusing on its practical applications and user perceptions. The study adopts a mixed-method approach, combining quantitative surveys with qualitative interviews. Data were collected from 300 e-business users and analyzed to assess key metrics such as usability, efficiency, and satisfaction. Additionally, in-depth interviews with industry experts provided insights into the strategic implementation of AI technologies. The findings reveal that AI significantly enhances user experience by offering personalized interactions, streamlining navigation, and improving response times. Users reported higher satisfaction levels when AI-driven features were implemented effectively. However, concerns about data privacy and algorithmic biases emerged as critical challenges, indicating the need for balanced approaches in AI deployment. The study concludes that while AI technology holds immense potential to revolutionize user experience in e-business, its effectiveness depends on strategic implementation and addressing user concerns. Future research should explore the integration of AI with other emerging technologies to further optimize user interactions in digital environments.