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Penerapan Metode Weighted Product dalam Sistem Pendukung Keputusan Program Penerimaan Bantuan Beras Iqbal Ramadhani Mukhlis; Thomas Aquino Berno Doduk; Tri Puspa Rinjeni; Virdha Rahma Aulia; Rafika Rahmawati; Tri Luhur Indayanti Sugata; Prasasti Karunia Farista Ananto; Nambi Sembilu
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 9 No 2 (2024): Jurnal Ilmu Komputer dan Desain Komunikasi Visual
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jikdiskomvis.v9i2.1120

Abstract

This study aims to develop an effective Decision Support System (DSS) in the process of the rice aid program. The Weighted Product (WP) method is used as the basis for decision-making to determine the receipt of rice aid. This DSS is designed to assist program organizers in selecting rice aid recipients more efficiently and objectively. The Weighted Product method is used to calculate the weight value of each criterion given by the rice aid recipient. This study's results can positively contribute to increasing efficiency and transparency in decision-making for the rice aid program. With this Weighted Product-based DSS, it is hoped that the selection process for rice aid recipients can be carried out more objectively and measurably so that the program's benefits can be more evenly distributed and targeted.
Pendekatan TOGAF ADM pada Penyusunan Arsitektur Enterprise SMAN 16 Surabaya Divani Jane Forinda Putri; Siti Mukaromah; Virdha Rahma Aulia
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7701

Abstract

This research aims to improve operational efficiency and quality of education services at SMAN 16 Surabaya through enterprise architecture design using the TOGAF ADM framework. The school faces challenges in operational management due to the lack of a structured and adequate system to support the digitization process. With a systematic methodological approach, this research includes the stages of literature review, data collection, and architecture development based on organizational needs, which include the preliminary phase, architecture vision, business architecture, information systems architecture, technology architecture, and opportunities & solutions. The results showed that the average implementation achievement reached 90.0%, with the main successes at the visioning, business architecture, and technology solution planning stages. Some of the priority solutions identified include digitizing administrative processes, integrating student data, and managing information technology infrastructure that supports learning. Also, the results of this research will provide a technology and information systems blueprint that summarizes system needs and candidate applications for each business process, providing integrated solutions and supporting the optimization of school operations as a whole.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENERIMAAN KONSUMEN TERHADAP FITUR AUGMENTED REALITY PADA APLIKASI E-COMMERCE SHOPEE DENGAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL Astri Purwitasari; Rozan Syaikh Ash S P; Najwa Nadia Rahma; Lano Putra Rajendra; Virdha Rahma Aulia
Jurnal Riset Sistem Informasi Vol. 2 No. 3 (2025): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/1sk5zz02

Abstract

The rapid growth of e-commerce requires innovative solutions to enhance consumer engagement and overcome online shopping limitations. This research analyzes the impact of Augmented Reality (AR) technology on consumer purchase intentions in e-commerce through a quantitative approach involving 150 AR users. Using PLS-SEM analysis, this study examines the relationships between AR characteristics (interactivity, visual quality, novelty, informativeness) and consumer perceptions (enjoyment, usefulness, hedonic value) and their effects on satisfaction, attitude, and purchase intention. Results indicate that visual quality and informative aspects of AR most significantly influence consumer perceptions, while enjoyment  and  hedonic  value  significantly  affect  consumer  satisfaction  and  positive  attitudes.  These findings provide guidance for e-commerce practitioners to balance practical functionality with engaging experiences in developing AR applications as an effective marketing strategy
Analysing User Reviews with ETL using Pentaho Data Integration Sugata, Tri Luhur Indayanti; Rafika Rahmawati; Tri Puspa Rinjeni; Virdha Rahma Aulia; Prasasti Karunia Farista Ananto; Iqbal Ramadhani Mukhlis
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.403

Abstract

User reviews are a crucial element in guiding the continuous improvement of mobile applications for developers. This research aims to utilize Extract, Transform, Load (ETL) techniques using Pentaho Data Integration to analyze user reviews of government mobile applications which is ‘Sentuh Tanahku’, focusing on improving service quality through actionable data insights. The ETL process involves collecting and cleaning data from the Google Play Store to derive valuable insights that inform recommendations for app improvement. After data extraction, text preprocessing steps, such as cleansing, case folding, and keyword filtering, were applied to prepare the data for analysis. By categorizing user reviews into key aspects such as user interface, performance, bug fixes, security, compatibility and feature development this research enables the identification of most frequently discussed and complained about by users. The output of this research includes a structured dataset in Excel format. By demonstrating the effectiveness of ETL and text analysis in transforming unstructured user reviews into strategic insights, this research contributes to utilizing Pentaho Data Integration as an alternative and effective tool for processing and analyzing user reviews.
Evaluate the Intentions and Behaviors of Live Streaming Feature Users with the UTAUT Model Cahyono, Athallah Rafif; Arista Pratama; Virdha Rahma Aulia
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2632

Abstract

The rapid advancement of digital innovation in Indonesia's e-commerce industry has encouraged the widespread adoption of live streaming features such as Shopee Live, which enable real-time interaction between sellers and buyers. Despite the growing popularity of this feature, limited research has investigated the behavioral factors that drive its sustained use, particularly by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with the construct of trust. This study aims to evaluate users’ behavioral intentions and actual usage of Shopee Live by applying the UTAUT model, extended with the trust variable to better capture the dynamics of live streaming-based commerce. A quantitative approach was employed through an online survey distributed to Shopee users with prior experience using the live feature. Using purposive sampling, a total of 215 valid responses were collected, with a response rate of 86%. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results show that Effort Expectancy, Social Influence, Price Value, Habit, and Trust significantly affect behavioral intention, while Performance Expectancy, Facilitating Conditions, and Hedonic Motivation do not. Furthermore, Habit, Trust, and Behavioral Intention significantly influence actual usage behavior. This study contributes to the e-commerce literature by extending the UTAUT framework with trust in the specific context of live streaming. The findings emphasize the stronger role of trust and social factors over utilitarian and entertainment considerations. E-commerce platforms should focus on strengthening user trust, promoting ease of use, and encouraging habitual usage to increase engagement with live commerce features.
User Satisfaction Analysis of Financial Technology Applications Using the End User Computing Satisfaction Model Ernawati, Ida Ayu; Asif Faroqi; Virdha Rahma Aulia
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2690

Abstract

The rapid evolution of digital technology has significantly transformed many sectors, especially financial services, with the rise of fintech innovations such as Flip. Flip offers interbank transfer services free of administrative fees, simplifying transactions like e-wallet top-ups, bill payments, and international money transfers, attracting a substantial user base. However, despite its popularity, users have raised concerns about transaction delays, slow customer service responses, and design issues, highlighting a gap between user expectations and actual service delivery. This study aims to evaluate user satisfaction with the Flip application using the End User Computing Satisfaction (EUCS) model, which assesses satisfaction across five key dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. Data from 415 respondents were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the factors influencing satisfaction. The findings reveal that user satisfaction with Flip is generally positive, with significant impacts from Content, Format, Ease of Use, and Timeliness. However, Accuracy, while positively related, had no statistically significant effect. These results emphasize the need for improving transaction timeliness and refining content and interface formats to enhance the user experience. The study provides essential insights for Flip developers to enhance service quality and offers a data-driven foundation for future research on fintech applications.