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Eva Khudzaeva
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Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Syarif Hidayatullah Jakarta Jl. Ir. H. Juanda No.95, Cempaka Putih, Ciputat Timur. Kota Tangerang Selatan, Banten 15412
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Applied Information System and Management
Published by Universitas Islam Negeri Syarif Hidayatullah Jakarta
ISSN : 26212536     EISSN : 26212544     DOI : 10.15408/aism
Core Subject : Education,
Languange, Linguistic, Communication & Media
Arjuna Subject : -
Articles 227 Documents
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Evaluating QR Code-Based Attendance System Using User Experience Hamdani, Dani; Wibowo, Ari Purno Wahyu; Heryono, Heri
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46679

Abstract

Efficient attendance tracking and academic schedule management are critical for students and lecturers in higher education. However, many existing systems lack user-friendly interfaces and integrated functionality, resulting in inefficiencies and reduced user satisfaction. This study aims to develop and evaluate the user experience of ‘Attend’, a mobile application designed to address these challenges. The target population consisted of higher education students and lecturers, with 35 student respondents participating in the evaluation phase through interviews and focus group discussions (FGDs) to inform the design of an intuitive and functional interface prototype. The authors conducted usability testing using the Maze App to assess task completion efficiency, followed by a user experience evaluation using the User Experience Questionnaire (UEQ). The results showed that users were able to complete tasks efficiently, although some interface components required refinement. The UEQ scores showed 'Above Average' ratings for attractiveness, efficiency, dependability, and novelty. The app also received 'Good' ratings for perspicuity and stimulation for improving clarity. These findings suggest that Attend effectively meets the needs and expectations of users in academic settings. This study contributes to the development of mobile-based educational tools by demonstrating the importance of incorporating user feedback in the design process to improve usability and user satisfaction.
Leveraging Deep Learning for Cultural Preservation: A Mobile Application for Padang Cuisine Benarkah, Njoto; Prasetyo, Vincentius Riandaru; Prakarsa, Andreas Bayu
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46680

Abstract

Padang cuisine, originating from West Sumatra, Indonesia, is recognized as one of the most widespread traditional food types due to its prevalence in restaurants across the country. Despite the increasing interest in classifying Indonesian food using artificial intelligence, there have been limited studies that have explicitly focused on classifying Padang dishes using deep learning approaches. This study aimed to develop an intelligent mobile application capable of identifying various Padang dishes from images using transfer learning-based convolutional neural networks (CNNs). Four pre-trained CNN architectures—EfficientNetV2M, MobileNetV2, VGG19, and ResNet152V2—were fine-tuned and evaluated on a dataset of Padang food images. This dataset comprised a total of 1,108 images, categorized into nine distinct Padang dishes, collected from both publicly available repositories and original photographs taken for this study. Among these models, ResNet152V2 achieved the best performance after optimization, with a validation loss of 0.4142 and a test accuracy of 91.33%. The optimized model was converted to TensorFlow Lite and deployed as a mobile application, enabling real-time recognition of Padang dishes. This study presented a deep-learning-based mobile solution for recognising nine traditional Padang dishes with high accuracy, demonstrating the potential of AI-driven applications to support culinary heritage preservation and promote cultural tourism in Indonesia.
Cocoa Land Suitability Analysis Using ID3 Spatial Algorithm Nurkholis, Andi; Rahayu, Ririn Wuri; Ferriyan, Andrey; Ni’mawati, Akfina
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46681

Abstract

Cocoa production in Indonesia encounters ongoing challenges due to declining plantation areas and suboptimal land utilization. This study applies the ID3 Spatial algorithm to evaluate land suitability for cocoa cultivation in Bogor Regency, West Java Province. The methodology integrates nine basic land characteristics, including elevation, drainage, relief, base saturation, cation exchange capacity, soil texture, soil pH, and mineral soil depth, derived from field surveys conducted by BBSDLP. Two classification models were developed and tested using spatial data preprocessing techniques. Model M1 was the baseline approach without constraints, while Model M2 incorporated a minimum planted area threshold of ≥1 ha. The results show notable performance differences between models. Model M2 achieved a reasonable accuracy of 87.27% compared to Model M1’s 29.09%, with relief identified as the root node due to its higher gain value and reduced entropy. Classification results indicate that Bogor Regency’s cocoa cultivation potential comprises 16,443 ha of S2 (moderately suitable) land and 231,018 ha of S3 (marginally suitable) land. The generated land suitability map may provide stakeholders with helpful guidance for identifying potential cultivation areas. The result suggests that artificial intelligence integration, specifically the ID3 spatial algorithm, could improve land suitability evaluation processes, potentially supporting more informed agricultural development decisions.
E-Services Quality: An Analysis of Customer's Mobile Banking Services in Sharia—A Systematic Literature Review Kumaladewi, Nia; Rosyada, Dede; Suryani, Erma; Hakiem, Nashrul
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46682

Abstract

In the current digital era, banking services have rapidly evolved thanks to technological advancements, such as mobile banking, which allows customers to conduct transactions easily and efficiently. Studies show that customer perception and satisfaction levels highly depend on service standards, available features, and user experience when using the service. Studies have shown that how customers feel about a service and how satisfied they are with it relies a lot on the quality of the service, the features it offers, and how easy it is to use. A big part of how well financial services on mobile devices do is how good digital services are, particularly in sharia banking that operates in accordance with Sharia principles and regulations. This research aims to gather systematic literature about the level of quality in mobile banking features provided by sharia-compliant banks. To comprehend the connection between customer experience and the effectiveness of e-services in mobile banking apps, the modified e-services quality model is essential. Finding the elements that affect the quality of e-services and consumer happiness, as well as investigating methods for enhancing digital services in compliance with sharia law, are the main goals of this study. It is anticipated that the findings of this study will offer more profound understandings of how Islamic banks may enhance the quality of their mobile banking services.
Profile Matching in Python to Identify Tourist Destinations for The Development of National Tourism Utami, Meinarini Catur; Aini, Qurrotul; Fetrina, Elvi; Tsauri, Muhammad Shofian; Safitri, Mella
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46683

Abstract

Tourism has emerged as a key contributor to state revenue and has played a crucial role in national economic recovery following the Covid-19 pandemic, establishing itself as a new engine for the country’s economic growth. In response to this, the government—through the Ministry of Tourism and Creative Economy—is actively promoting development in the tourism sector to enhance numerous tourist attractions in Indonesia, which are renowned for their beauty and recognized globally. However, the Ministry faces several challenges, including the need for technological advancements and the expansion of infrastructure. Addressing these needs will require substantial financial investment to optimize all tourism sites. This study aims to identify 22 tourist attractions across Indonesia using the Profile Matching method in Python programming, based on seven established criteria. The uniqueness about this study is that this research implemented  a simple Python script and the tourist attractions are spread across all regions of Indonesia. The results of the study highlight three tourist destinations that warrant government attention for optimization: Lake Maninjau, Rantepao, and Seminyak. To facilitate improvement, several areas require focus, including upgrading access roads, enhancing basic facilities, fostering community participation, developing human resources, and leveraging technology. The analysis using Python demonstrates that the software performs efficiently, processing 22 data points with seven criteria in a mere 0.06 seconds.
Evaluating User Readiness for IoT-Based Smart Home Adoption: A PLS-SEM and IPMA Study Integrating TAM and Technological Readiness Model in the Context of NTB, Indonesia Bagye, Wire; Imtihan, Khairul; Ashari, Maulana
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46684

Abstract

The swift evolution of Internet of Things (IoT) innovations has significantly accelerated the integration of smart home solutions into everyday life. However, user readiness remains a pivotal aspect for ensuring successful adoption, particularly in developing regions such as Indonesia. This study aimed to evaluate user readiness for IoT-based smart home adoption by integrating the Technology Acceptance Model (TAM) and the Technology Readiness Index (TRI) within the socio-cultural context of Nusa Tenggara Barat (NTB) province, Indonesia. A quantitative survey involving 496 respondents was conducted using purposive sampling during the 2025 data collection period. The data were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) and Importance-Performance Map Analysis (IPMA). The results indicate that optimism, innovativeness, and digital literacy have a significant influence on perceived ease of use and perceived usefulness. In contrast, discomfort and insecurity negatively affect user acceptance. Furthermore, perceived ease of use and perceived usefulness were found to predict behavioral intention strongly. The IPMA results further highlight optimism and innovativeness as high-impact yet underperforming areas that require attention. This study contributes theoretically by extending the integration of TAM and TRI in the context of IoT-based smart home adoption, while providing practical insights for policymakers, system designers, and digital transformation stakeholders to design more inclusive and user-aligned smart home strategies. The combined TAM–TRI framework reflects both cognitive and emotional elements that shape user decision-making, thereby strengthening the understanding of technology adoption in developing regions.
Online-to-Offline (O2O) E-Commerce Adoption Using Technology Acceptance Model 3 (TAM 3): The Case of GrabKios Togatorop, Elwin Jusuf; Purwaningsih, Mardiana
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46688

Abstract

The rapid growth of digital technology has streamlined workflows and accelerated information exchange. However, it has also introduced risks such as data theft and online fraud, which make people hesitant to engage in online transactions. To address these concerns, platforms such as GrabKios have introduced online-to-offline (O2O) solutions, enabling users to order goods online through local agents and pay in cash. While GrabKios shows strong potential, its adoption remains limited, particularly among small kiosk (warung) owners who face difficulties navigating the app. This study examines the factors influencing the use of GrabKios by applying the Technology Acceptance Model 3 (TAM3). A total of 108 respondents participated in the survey. The findings indicate that perceived usefulness significantly influences behavioural intention; however, adoption does not occur unless the app is user-friendly. Usability issues, therefore, remain a significant barrier to broader adoption. These results underscore the importance of intuitive interface design and user-friendly features in promoting the broader adoption of O2O e-commerce applications. This research contributes to the field by extending the application of TAM3 in the O2O context, which remains underexplored. It offers practical implications for developers in designing simpler and more accessible digital platforms.
An Integrated IT Governance and Project Management Framework for Resource-Constrained Universities in Timor-Leste Trisnawaty, Ni Wayan; Raharjo, Teguh; Soares, Domingas
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46689

Abstract

This study designed and validated an integrated information technology governance (ITG) and project management strategy for resource-constrained universities in developing countries. A mixed-methods approach combined a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided systematic review, three criterion-based elite interviews at a private university in Timor-Leste, and expert validation to refine the model. The framework operationalized ISO/IEC 38500 principles as governance guardrails across the PMBOK 7th Edition performance domains, linking decision rights, escalation paths, and conformance duties to day-to-day delivery routines. Findings indicated that the integration clarified accountability, mitigated the mum effect through time-boxed escalation and red-flag protocols, supported phased low-bandwidth service deployment, and aligned institutional priorities with budget and capacity constraints. This study introduced a governance–execution fit mechanism that made governance actionable in resource-constrained higher education settings. It also provided policy recommendations for university leaders and regulators: formalize an IT Steering Committee (ITSC) by decree, embed ISO/IEC 38500 guardrails into portfolio and project life cycles, mandate lightweight governance artifacts (charters, responsible–accountable–consulted–informed (RACI) matrices, risk registers, and decision logs), and adopt phase-gated funding with targeted capability building. These measures strengthen feasibility, scalability, and strategic adoption across comparable contexts.
Bitcoin Price Forecasting Using Random Forest and On‑Chain Data Samsudin, Samsudin; Irawan, Muhammad Dedi; Nasution, Muhammad Irwan Padli; Putri, Raissa Amanda
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46690

Abstract

Bitcoin’s extreme price volatility has long posed challenges for both investors and researchers seeking reliable forecasting models. Conventional financial approaches often fail to capture the highly complex, nonlinear, and fast-moving nature of cryptocurrency markets. To address this gap, this study develops a Bitcoin price prediction model using Random Forest Regression based on on-chain market data. The dataset was obtained from publicly available historical Bitcoin daily trading records spanning more than five years. Key features include opening price, daily high and low ranges, trading volume, and percentage change. The research was carried out in several stages. First, data preprocessing was conducted through normalization, handling of missing values, and feature engineering. Second, model training was performed with Random Forest, including parameter tuning to optimize predictive accuracy. Third, model evaluation employed R² and Mean Absolute Percentage Error (MAPE) as primary performance indicators. Fourth, visualization was implemented using interactive charts to allow users to observe short-term price fluctuations and long-term market patterns. The system development followed an iterative methodology inspired by the Streamlit Framework, which is an open-source Python library that simplifies building interactive web applications for data science and machine learning. This approach provides flexibility, enabling rapid experimentation and adaptation to evolving market conditions. The results show that the proposed model achieves near-perfect R² values (approaching 1.0) with consistently low MAPE, highlighting its reliability. Beyond predictive performance, the framework is designed to be scalable, supporting future integration with deep learning methods such as LSTM and external macroeconomic indicators, thus offering both practical utility for investors and academic contributions to decentralized finance research.
Ontology Modeling of The Nymphalidae Family Butterfly on Java Island Using the Methontology Nurbojatmiko, Nurbojatmiko; Yusri, Azizah Nurfauziah; Sulasiyah, Ismi Ana; Wulandari, Winda
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46692

Abstract

Indonesia, a mega-biodiverse nation with 53 national parks, including 12 on Java Island, hosts an immense variety of flora and fauna, particularly within the Nymphalidae butterfly family. However, the country's vast geographical complexity makes the understanding, classification, and management of information about these butterflies highly challenging, leading to fragmented and difficult-to-process data. This research aims to address this problem by constructing an ontology-based knowledge base to enable effective information reuse, integration, and semantic processing of Nymphalidae butterfly data from Java's national parks. The methodology employed the Methontology framework, which structured the development process into detailed stages: specification, conceptualization, formalization, implementation, and maintenance. The ontology was formally built using the Web Ontology Language (OWL) and the Resource Description Framework (RDF), with development and implementation carried out using the Protégé tool. Data integration and querying were facilitated through the application of semantic web standards, including SPARQL for retrieving information. The results yielded a structured semantic model for Nymphalidae butterflies in Java, comprising 7 classes, 4 object properties, and 4 data type properties. A critical evaluation using the HermiT Reasoner confirmed the ontology's logical consistency, proving the model to be sound. The primary contribution of this study is a validated, interoperable ontology that provides a standardized framework for organizing butterfly information, thereby facilitating better data sharing, integration, and knowledge management for biodiversity conservation and research efforts in Indonesia.

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