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Asia Information System Journal
Published by Universitas Islam Negeri Raden Intan Lampung
ISSN : -     EISSN : 29638593     DOI : -
Core Subject : Science,
Computer Science & IT
Asia Information System Journal (AISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, academic, current issues and debates from all over the world that covers topics such as the improvement of information system and technology including but not limited to: Alignment of business processes with IT operations, Information system architecture, Information system methodologies, Information system security, Information System Technology, System requirements engineering, System testing and quality assurance and more
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 38 Documents
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IMPLEMENTATION OF ORDER MANAGEMENT SYSTEM CAFFE-BASED MENU FOOD STACK AND QUEUE Sari, Dita Novita; Susilowati, Tri; Asiyani, Lucy; Alfarizi, Dimas
Asia Information System Journal Vol. 4 No. 1 (2025): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/z95sp050

Abstract

This study explores the implementation of a food ordering management system in cafes using stack and queue data structures. The system is designed to tackle challenges related to the recording, queue sorting, and tracking of order history with improved efficiency and accuracy. A queue is utilized to manage incoming orders based on the First In First Out (FIFO) principle, while a stack is employed to store order history following the Last In First Out (LIFO) principle. The system is developed with a Tkinter-based user interface and tested using various software testing methods, including unit testing, integration testing, system testing, and acceptance testing. The results from these tests show that the system functions as expected, offering high accuracy and streamlining cafe staff operations. By improving operational efficiency, the system also enhances customer satisfaction. This research contributes to the ongoing development of digital solutions in the culinary industry and offers potential for broader applications in other sectors that require efficient queue management and service history tracking.
PUBLIC SENTIMENT ANALYSIS OF THE INDONESIAN GOVERNMENT BUDGET EFFICIENCY NEWS USING VADER (VALENCE AWARE DICTIONARY AND SENTIMENT REASONER) ADAPTED TO THE INDONESIAN LANGUAGE LEXICON Satria, Fiqih; Husaini, M.
Asia Information System Journal Vol. 4 No. 1 (2025): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/g76v7f54

Abstract

The Indonesian government's budget efficiency policy in 2025 has become a topic of wide public discussion, especially on social media. This study aims to analyze public sentiment towards the news of government budget efficiency using a text mining method based on Valence Aware Dictionary and sEntiment Reasoner (VADER) that has been adapted to the Indonesian language lexicon. Data was collected from YouTube comments using the YouTube API V3, with a total of 500 comments from the five videos that received the most responses. After preprocessing, word cloud, bigram, and trigram analyses showed that people highlighted various aspects of the policy, including the effectiveness of budget efficiency, transparency, and its impact on people's welfare. The sentiment analysis results showed that 41% of the comments were positive, 30% were negative, and 29% were neutral. Positive sentiments were mainly related to support for programs such as the Free Nutritious Meal (MBG) and bureaucratic retrenchment. Negative sentiments reflect criticism of alleged budget waste, an overly large cabinet, and skepticism about policy implementation. Meanwhile, neutral comments were generally informative or questioned the policy without showing a clear trend of opinion. This research shows that public discussion on government budget efficiency centers not only on the policy itself, but also on public perceptions of government performance and budget transparency. These findings can inform policymakers to improve public communication and ensure effective and transparent implementation of budget efficiency.
IMPLEMENTATION OF THE E-ARCHIVE SYSTEM TO INCREASE TRANSPARENCY AND ACCOUNTABILITY OF VILLAGE ARCHIVE MANAGEMENT Saputra, Ricco Herdiyan; Waziana, Winia; Putra, Aditya Dwi
Asia Information System Journal Vol. 4 No. 1 (2025): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/2rc2xp62

Abstract

 The development of information technology has encouraged digitalization in various aspects of government, including archive management. This study aims to analyze the implementation of the E-Archive System in Kalirejo Village, Central Lampung, as well as its impact on transparency and accountability in village archive management. The research method used is quantitative descriptive with data collection techniques through observation, interviews, and questionnaires given to administrative staff and users of the E-Archive system. The results of the study show that implementing the E-Archive System has increased efficiency in the search and management of archives, reduced the risk of document loss, and accelerated the administrative process. In addition, the system also strengthens transparency by allowing stakeholders to access more structured and easy-to-trace data. In terms of accountability, E-Archives helps in maintaining the accuracy and security of documents, thereby reducing the potential for errors in the storage and management of records. The implementation of this system also contributes to increasing user satisfaction, lowering operational costs, and improving the village archive supervision and audit system. Although there are still some challenges in the adoption of this system, such as limited technological infrastructure and training needs for village staff, overall, E-Archives has proven to be an effective solution in modernizing archive management at the village level. Thus, this study provides recommendations for strengthening technological infrastructure, increasing human resource capacity, and optimizing system features to ensure the sustainability and effectiveness of E-Archives in supporting more transparent and accountable village governance.
DESCRIPTIVE ANALYSIS & UML: DIGITAL ARCHIVAL INFORMATION SYSTEM AT THE PROSECUTOR'S OFFICE Andriasari, Sevi; Ramadaniah, Dedeh; Romahdoni, Muhammad Reza
Asia Information System Journal Vol. 3 No. 1 (2024): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/rzrrx225

Abstract

The increasing importance of digital archival systems in managing legal data efficiently. The methods section describes the use of a descriptive approach and Unified Modeling Language (UML) for system design, emphasizing the systematic analysis of document storage needs at the Central Lampung district attorney's office. Major findings include the inefficiencies of the existing manual archival system, the necessity for a digital archiving solution, and the benefits of UML implementation in improving system efficiency and reliability. The discussion delves into the implications of transitioning to a digital system, such as enhanced accuracy, improved efficiency, and the promotion of collaboration among legal professionals. Suggestions and implications focus on the need for continuous monitoring, staff training, and exploring advanced technologies like artificial intelligence for automated document management. The abstract encapsulates the study's key components, findings, and recommendations, providing a concise yet informative summary of the research on digital archival systems in prosecutorial offices.
DEVELOPMENT OF MOBILE WEB APPLICATIONS TO IMPROVE ACCESS TO INFORMATION AND SERVICES (CASE STUDY: PEKON TANJUNG REJO) Joni; Ricco Herdiyan Saputra; Lucy Asiyani; Dita Novitasari
Asia Information System Journal Vol. 4 No. 2 (2025): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/dpgvjm11

Abstract

The management of information and public services at the pekon level is still largely manual, resulting in delays, inefficiencies, and limited access for the community. This research aims to design and develop a mobile web application that supports improving access to information and administrative services in Pekon Tanjung Rejo. The methods used include needs studies through observation of service processes and interviews with pekon officials and residents, system design using the UML approach, implementation using PHP, Bootstrap, and XAMPP, and functional testing using the black-box method. User Acceptance Testing was conducted on eight participants consisting of three pekon officers and five residents as representatives of end users. The results of the development resulted in four main modules, namely the pekon information page, the administrative dashboard, the community contact feature through the Sapa Village menu, and the officer management module. Functional testing shows that all core functions including authentication, data management, and information delivery are running as specified. User acceptance tests show that the application interface is considered easy to understand, and supports accelerating access to information by the public. However, several obstacles were found, such as limited internet connectivity in certain regions and variations in users' digital literacy that affect the optimal use of applications. This study recommends improving connection stability, improving notification features, and long-term evaluation to assess the impact of applications on the effectiveness of public services at the pekon level.
HOW PERCEIVED RISK AND TRUST AFFECT ONLINE PAYMENT INTENTIONS: A SURVEY-BASED STUDY WITH CONFIRMATORY FACTOR ANALYSIS (CFA) AND STRUCTURAL EQUATION MODELLING (SEM) Rahul R. Verma
Asia Information System Journal Vol. 4 No. 2 (2025): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/vm2xrf42

Abstract

The rapid expansion of digital financial services has transformed transaction behaviors, yet understanding the specific drivers of purchase intention remains complex. Comprehensive literature reviews exist, there is a lack of empirical research that distinctly separates "online purchase intention" from general "purchase intention," particularly regarding how specific risk dimensions directly erode user trust in emerging platforms. This study aims to bridge this gap by empirically examining the structural relationships between perceived risk (financial, privacy, and performance), trust, and online purchase intention. A quantitative survey approach was employed, gathering data from 300 respondents. The measurement model and structural paths were validated using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). The findings reveal that perceived risk significantly negatively affects trust. However, trust demonstrates the strongest positive effect on intention (β=0.53), accounting for substantial variance (R 2=0.52) in the model. These results suggest that fintech providers must prioritize trust-building mechanisms over merely functional features. Future research is recommended to explore moderating factors such as user experience levels to further validate this model across different demographics
ALGORITHMIC OPTIMIZATION INFORMATION AND STRATEGIES FOR INCREASING THE REACH OF BEGINNER CREATOR ACCOUNTS ON FACEBOOK PRO IN INDONESIA Chairul, Muhammad Ilham Firizkillah; Waskita, Arya Adhyaksa; Wiharjo, Sudarno; RA, Okta Reni Azrina
Asia Information System Journal Vol. 4 No. 2 (2025): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/qa0g3q17

Abstract

The evolution of algorithmic systems on digital platforms has fundamentally transformed the logic of content distribution, shifting from chronological feeds to AI-driven recommendation ecosystems that act as active regulators of creator visibility. While discussions on algorithmic visibility are extensive for platforms like TikTok and Instagram, a significant research gap remains regarding the Indonesian creator ecosystem on Facebook Pro, particularly concerning how human–algorithm interaction shapes content performance. This study aims to analyze algorithm optimization strategies among beginner creators on Facebook Pro by examining the critical relationship between content format consistency, engagement velocity, and algorithmic distribution. Research Method: Adopting a qualitative-descriptive design, a case study was conducted on two Indonesian creator accounts—Muhammad Ilham Firizkillah and Sejenak Hening—representing contrasting storytelling-educational and motivational production paradigms. Primary data were collected from Facebook Pro Insights between July and October 2025, utilizing Python-based analytics to evaluate Reels performance, retention rates, and audience growth. The results indicate a striking contrast in performance: the Sejenak Hening account achieved an 876% increase in reach and 1.1 million views by maintaining consistent themes and visuals, allowing the algorithm to recognize stable patterns for exponential distribution. Conversely, the Ilham Firizkillah account saw a 52% decline in views due to high format variation and weak early interaction (2%), triggering algorithmic momentum decay. Findings confirm a perfect correlation (r = 1.00) between format stability and algorithmic reach. Implication and Recommendation: These findings emphasize that sustainable organic growth is determined by the synchronization between predictable upload patterns and the machine-learning system’s real-time evaluation of interaction efficiency. It is recommended that beginner creators prioritize the "three-second hook" to capture initial attention and maintain strict discipline in narrative and visual formats to build algorithmic credibility.
IMPLEMENTATION OF INFORMATION SYSTEM USING THE ANDROID-BASED K-MEANS CLUSTERING ALGORITHM TO DETERMINE GRADUATION SCORES AT SMK NEGERI 3 METRO azhari, amalyanda; Ratnasari, Mei; Sasmito, Angger; Saputra, Dian; Khan, Naqib Ullah
Asia Information System Journal Vol. 4 No. 2 (2025): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/5fn10c18

Abstract

This study proposes the implementation of the K-Means clustering algorithm to analyze and classify student graduation scores at SMK Negeri 3 Metro in order to support academic decision-making and improve information management. The dataset consists of academic records of students from grades X to XII, including theoretical scores, practical scores, attendance rates, and final achievement scores. Prior to clustering, the dataset is subjected to preprocessing procedures, including data cleaning, attribute transformation, and min-max normalization to ensure proportional scaling among variables. The clustering process is performed using RapidMiner and configured into three clusters representing categories of academic performance. The experimental results indicate that the K-Means algorithm effectively identifies structured patterns in the distribution of graduation scores, enabling the institution to map student achievement levels objectively. To operationalize the analytical results, the clustering model is integrated into a web/Android-based information system that facilitates real-time access to graduation information for teachers, administrators, and students. The implementation of the system contributes to improved efficiency in academic data management, faster information dissemination, and enhanced transparency in graduation scores. The findings demonstrate that the application of data mining techniques, particularly K-Means clustering, provides a reliable framework for academic analytics and decision support in educational information systems, with potential scalability for broader institutional adoption.

Page 4 of 4 | Total Record : 38

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