Garuda - Garba Rujukan Digital

Implementation of the FP-Growth Algorithm for Bundling Strategy and Store Layout Redesign at Toko Kasih Ibu Fariz; Eka Dyar Wahyuni; Tri Luhur Indayanti Sugata
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4673

Grocery stores like Toko Kasih Ibu face increasing challenges in staying competitive against modern markets offering better convenience, product variety, and services. A notable sales decline in 2024 highlights the need for improved marketing and store layout strategies. This study analyzes purchasing patterns using the FP-Growth algorithm within a Market Basket Analysis (MBA) framework to design product bundling and optimal layout recommendations. Using the CRISP-DM approach, 468,507 transaction records from 2022–2024 were processed, followed by data preparation and transformation. The FP-Growth model was applied with a minimum support of 2% and confidence of 50%, resulting in 11 strong association rules—such as bundling Fom Burger Per 10, Pilus SP 500 RTG BAL, and Indomie Goreng PC. Additionally, category-level analysis using the Activity Relationship Chart (ARC) with the AEIOUX scale suggested reorganizing the store into four sectors to improve customer convenience and encourage combined purchases. The findings demonstrate that applying the FP-Growth algorithm with appropriate parameters offers valuable insights for effective bundling and layout strategies, supporting promotional efforts and sales goals.

Development of a Procurement Information System for Medical Service Providers Almas Agung Firdaus; Abdul Rezha Efrat Najaf; Tri Luhur Indayanti Sugata
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2909

Procurement processes in healthcare institutions often face challenges such as delays, lack of documentation, and limited transparency in vendor selection. These issues can negatively impact the operational efficiency and availability of medical logistics. This study aims to develop a web-based procurement information system that addresses these problems through a structured digital approach. The research was conducted using a case study at Sekata Medical Center Clinic in Samarinda. The system was developed using the Waterfall model, which includes five stages: requirements analysis, system design, implementation, testing, and maintenance. The development was carried out using PHP as the programming language and MySQL as the database, supporting multiple user roles including admin, department, division, and vendor. The system implementation includes key features such as item request submission, vendor selection, invoice processing, and goods verification. Testing using the Black Box method confirmed that all functionalities performed correctly according to the defined specifications, with accurate error handling and validation processes. The results demonstrate that the system enhances the procurement process by providing structured workflows, real-time documentation, and transparency across all stages. In conclusion, this research contributes to improving procurement efficiency, data accuracy, and accountability in medical service providers. It also lays the groundwork for future development, such as integration with real-time reporting, enhanced data security, and broader deployment in other healthcare institutions.

Multilabel Aspect-Based Emotion Analysis Pada Ulasan Aplikasi IKD: Pengaruh Focal Loss dan Threshold Tuning Menggunakan Indobert Viviana Purba; Eka Dyar Wahyuni; Tri Luhur Indayanti Sugata
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.448

User reviews of the Identitas Kependudukan Digital (IKD) application contain various emotions toward different service aspects. These reviews not only reflect the level of service satisfaction but also encompass user experiences, complaints, expectations, and public perceptions regarding the quality of the system. This study aims to develop a multi-label Aspect-Based Emotion Analysis (ABEA) model using an end-to-end IndoBERT architecture to identify user emotions across each service aspect of the IKD application. Additionally, it analyzes the impact of implementing Focal Loss and threshold tuning on classification performance under highly imbalanced label distributions. Data were collected from 13,197 user reviews on the Google Play Store spanning from June 2024 to November 2025 using web scraping methods, which were subsequently cleaned and filtered to yield 6,891 data entries. Service aspects were empirically identified using BERTopics. Labeling was conducted by three human annotators and two AI annotators, with the final labels determined through majority voting. The model was developed across 6 experimental scenarios varying in preprocessing, Focal Loss, threshold tuning, and data split ratios. Evaluation was performed using F1 Score Macro, F1 Score Micro, Precision, Recall, and Hamming Loss metrics. BERTopic achieved a Coherence Score of 0.6196 and a Topic Diversity of 0.92 with 5 representative aspects. The most optimal model was obtained using a configuration of Focal Loss, a threshold of 0.4, and a 60:20:20 split ratio, achieving an F1 Score Macro of 0.3916, a 24.1% increase from the baseline, alongside an F1 Score Micro of 0.9134 and a Recall of 0.9423. The selected model was successfully integrated into a web-based system using the Flask framework to visualize the classification results. Anger dominated the reviews concerning the Login & Akses Akun and Scan Barcode ke Dukcapil aspects, whereas the Dokumen & Layanan Digital aspect recorded the highest joy emotion. The combination of Focal Loss and threshold tuning proved effective in handling imbalanced label distributions in Indonesian multi-label ABEA classification.

Mapping SPBE Challenges in Indonesia: Systematic Review by Architecture Domain Virdha Rahma Aulia; Iqbal Ramadhani Mukhlis; Rafika Rahmawati; Tri Luhur Indayanti Sugata; Prasasti Karunia Farista Ananto; Tri Puspa Rinjeni; Nambi Sembilu
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 1 (2025): Juni 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i1.368

Growing disparities in digital governance readiness across Indonesia highlight the urgency of strengthening the nation's Electronic-Based Government System (SPBE). This study conducts a systematic literature review of 34 recent studies to identify key factors that influence SPBE implementation across six architecture domains: Business (Organizational) Architecture, Data Architecture, Application Architecture, Infrastructure Architecture, Security Architecture, and Service Architecture. Drawing on the PRISMA methodology, the review uncovers recurring obstacles such as governance misalignment, fragmented system development, infrastructure limitations, inadequate data management, weak cybersecurity, and inconsistent service delivery. While these challenges inform the analysis, the proposed conceptual framework reframes each domain as a positive construct—suggesting that stronger performance in these areas contributes to greater SPBE implementation success. This framework provides policymakers with a structured lens to guide targeted digital transformation efforts. The study emphasizes the importance of policy coherence, inter-agency collaboration, human resource capacity, and integrated digital ecosystems, and invites future empirical research to validate and refine the framework through quantitative testing and in-depth case studies, particularly focusing on governance and people-centered factors.

Analysing User Reviews with ETL using Pentaho Data Integration Tri Luhur Indayanti Sugata; Rafika Rahmawati; Tri Puspa Rinjeni; Virdha Rahma Aulia; Prasasti Karunia Farista Ananto; Iqbal Ramadhani Mukhlis
Jurnal Komputer Teknologi Informasi Sistem Komputer (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

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.

UI/UX Design of the “PrintOn!” Printing Services Marketplace for UMKM Photocopying and Printing Businesses Using the User Centered Design Method Windy Fadhilah Susanti; Seftin Fitri Ana Wati; Tri Luhur Indayanti Sugata
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4688

UMKM in the photocopy and printing sector faced several obstacles when managing orders through messaging platforms. Customer messages were often difficult to identify due to the absence of names or profile photos, and lengthy, unclear texts further complicated communication. The use of multiple platforms such as social media and email required manual checking, which delayed response times. This study aimed to design a user interface and user experience (UI/UX) for a printing service marketplace application to improve the service process for UMKM. The design process followed a human-centered design approach, beginning with literature studies, user context identification through interviews with 15 respondents, and user needs analysis using empathy maps, personas, and affinity diagrams. Solutions were developed through user flow mapping, information architecture, and prototyping using Figma. Evaluation was conducted using usability testing via Maze, the System Usability Scale, and heuristic evaluation by five expert evaluators. The findings indicated issues in areas such as consistency and aesthetic minimalism, which received high severity ratings. After iterations, customer usability scores improved from 67.5 to 82.8 and provider scores from 78.5 to 80.5. These results demonstrated that the final "PrintOn!" application design met usability standards and enhanced user experience, making it ready for implementation.

Analisis Efektivitas Metode ARIMA dalam Peramalan Nilai Tukar Berdasarkan Systematic Literature Review Paloma Ransi; Abdul Rezha Efrat Najaf; Tri Luhur Indayanti Sugata
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15294

This study reviews the application of the Autoregressive Integrated Moving Average (ARIMA) method for exchange rate forecasting based on previous research. The review focuses on model characteristics, order selection, and forecasting accuracy. A Systematic Literature Review (SLR) was conducted on relevant articles published within the last five years. The findings indicate that ARIMA remains widely applied, particularly for short-term forecasting, with low-order models often providing the best performance. However, no single ARIMA model is universally applicable across different countries and conditions. The study concludes that ARIMA is effective as a baseline forecasting method but has limitations in capturing complex market dynamics.

Enhancing Digital Literacy to Mitigate the Negative Impacts of the Internet among Orphanage Children Tri Luhur Indayanti Sugata; Tri Puspa Rinjeni; Siti Mukaromah; Virdha Rahma Aulia; Prasasti Karunia Farista Ananto; Rafika Rahmawati; Lano Putra Rajendra; Naufal Hilmy Ramadhani; Rendi Adi Saputra; Arya Daffa Junaidi
Jurnal Pengabdian Masyarakat Inovatif Vol. 4 No. 1 (2026): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar

The rapid development of internet technology presents both opportunities and risks for children, particularly those in orphanage settings who face compounded vulnerabilities due to limited supervision and inadequate digital guidance. This community service activity aimed to improve digital literacy and internet safety awareness among children at Al Jabbar Orphanage, Surabaya. This activity involved 13 participants. The program was implemented through three sequential stages: planning, implementation, and evaluation. Data were collected using pre-test and post-test instruments around eight digital literacy indicators covering topics such as understanding internet functions, recognising negative impacts, personal data protection, cyberbullying awareness, account security and information verification. Among the eight indicators assessed, descriptive analysis revealed improvement in two indicators: risk mitigation skills when interacting with strangers online (84.62% to 92.31%) and information verification proficiency (92.31% to 100%). The remaining six indicators showed no measurable change, largely due to high baseline scores. The activity showed potential to improve participants' awareness and understanding of safe internet use, particularly regarding online stranger interactions and information verification. However, given the small sample size and the absence of inferential statistical analysis, stronger evaluation methods are needed to assess the long-term effectiveness of similar programs.

Enhancing Digital Literacy to Mitigate the Negative Impacts of the Internet among Orphanage Children Tri Luhur Indayanti Sugata; Tri Puspa Rinjeni; Siti Mukaromah; Virdha Rahma Aulia; Prasasti Karunia Farista Ananto; Rafika Rahmawati; Lano Putra Rajendra; Naufal Hilmy Ramadhani; Rendi Adi Saputra; Arya Daffa Junaidi
Jurnal Pengabdian Masyarakat Inovatif Vol. 4 No. 1 (2026): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar

The rapid development of internet technology presents both opportunities and risks for children, particularly those in orphanage settings who face compounded vulnerabilities due to limited supervision and inadequate digital guidance. This community service activity aimed to improve digital literacy and internet safety awareness among children at Al Jabbar Orphanage, Surabaya. This activity involved 13 participants. The program was implemented through three sequential stages: planning, implementation, and evaluation. Data were collected using pre-test and post-test instruments around eight digital literacy indicators covering topics such as understanding internet functions, recognising negative impacts, personal data protection, cyberbullying awareness, account security and information verification. Among the eight indicators assessed, descriptive analysis revealed improvement in two indicators: risk mitigation skills when interacting with strangers online (84.62% to 92.31%) and information verification proficiency (92.31% to 100%). The remaining six indicators showed no measurable change, largely due to high baseline scores. The activity showed potential to improve participants' awareness and understanding of safe internet use, particularly regarding online stranger interactions and information verification. However, given the small sample size and the absence of inferential statistical analysis, stronger evaluation methods are needed to assess the long-term effectiveness of similar programs.

PERANCANGAN WEBSITE PENDUKUNG KEPUTUSAN PENGURUS TERBAIK UKKI UPN JATIM MENGGUNAKAN MODEL WATERFALL Nesvia Nissa Artanti; Abdul Rezha Efrat Najaf; Tri Luhur Indayanti Sugata
Prosiding Seminar Nasional Indonesia Vol. 3 No. 3 (2026): Prosiding Seminar Nasional Indonesia
Publisher : CV. Adiba Aisha Amira

Show Abstract | Download Original | Original Source | Check in Google Scholar

UKKI UPN Veteran Jawa Timur requires an objective and transparent mechanism to determine the best management board members in each organizational period. The evaluation process previously relied on manual calculations using spreadsheets, which was considered ineffective, difficult to interpret, and prone to human error and subjectivity. This study aims to design and develop a web-based Decision Support System (DSS) to assist in selecting the best management board members in a systematic and accurate manner. The research adopts a qualitative approach to identify system requirements through interviews with the general chairman, general secretary, and several relevant stakeholders. System development is conducted using the Waterfall model, which consists of requirements analysis, system design, implementation, testing, deployment, and maintenance stages. The Decision Support System applies the Analytical Hierarchy Process (AHP) to determine criteria weights and the Weighted Product (WP) method to rank the alternatives. The results show that the developed website is capable of managing member data, evaluation criteria, assessment scores, and organizational periods, as well as presenting ranking results in real time. The system enhances efficiency, accuracy, and transparency in determining the best management board members at UKKI UPN Veteran Jawa Timur.

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