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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 230 Documents
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UI/UX Design of Mobile-Based Human Resource Management Applications Using the Design Thinking Method (Study Case: Habibi Garden) Aprilia, Ucha; Kumaladewi, Nia; Mutholib, Abdul; Sulong, Amart
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): 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.v7i2.38206

Abstract

Habibi Garden is a company operating in agricultural technology. The current issue at Habibi Garden is the absence of a human resource management application. COOs and Agronomists face operational challenges. COOs struggle to track project progress in the field and sometimes forget to log their attendance. Agronomists have difficulty organizing team tasks as some employees forget to submit assignments, and various assignments, reports, and projects are jumbled in Google Drive. Additionally, employees have to search for reimbursement links mixed with other assignment links, leading to potential errors. This research aims to develop a UI/UX design for a mobile-based human resource management application for Habibi Garden to aid employees in operational activities. The method used is Design Thinking which consists of 5 stages, namely Empathize, Define, Ideate, Prototype, and Test. The results show that the interface design performs well. The effectiveness parameter scored 93.75% for COOs and 91.25% for Agronomists. The efficiency parameter achieved 0.04 goals/sec for COOs and 0.06 goals/sec for Agronomists. User satisfaction, measured using the SUS questionnaire, averaged 88 for COOs, categorized as excellent and graded B, and 77 for Agronomists, categorized as good and also graded B. Design Thinking enables designers to create application solutions that truly fit user expectations and needs by understanding user problems, needs, and behavior through the empathize stage. Based on the prototype design that has been designed in this study, the UI/UX generated can serve as a foundation for the development of mobile applications based on Human Resource Management.
Usability Analysis of Trello Using the System Usability Scale (SUS) at the UIN Jakarta Career Development Center Wijaya, Muhammad Willy; Waspodo, Bayu
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): 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.v7i2.38220

Abstract

The UIN Jakarta Career Development Center is a dedicated unit focused on fostering the personal and professional growth of both current students and alumni of UIN Jakarta. Supported by student interns from diverse educational backgrounds and academic programs, the center operates daily to provide comprehensive services. These interns bring varied educational backgrounds and experiences, influencing their readiness to implement software for collaborative and coordinating purposes, replacing the previous system (Trello) at the UIN Jakarta Career Development Center. This study aims to evaluate Trello's effectiveness at the UIN Jakarta Career Development Center, intending to enhance the interns' performance and improve service delivery to uphold UIN Jakarta's reputation. The research methodology employs the System Usability Scale (SUS), with validity and reliability testing conducted using Cronbach's Alpha. Findings indicate that Trello's usability at the UIN Jakarta Career Development Center yields an average total score of 59.625 on the grade scale, categorizing usability as D with an adjective rating of OK and marginally acceptable. However, 37.5% respondents express skepticism regarding others' ability to quickly grasp Trello's use, while 55.5% state a need to acclimate themselves to Trello's usage. These insights underscore the importance of refining Trello's implementation to better support the center's operations and ensure a seamless user experience for interns and staff alike.
Analysis of the Impact of Meteorological Factors on Predicting Air Quality in South Tangerang City using Random Forest Method Kadir, Nurchaerani; Faisal, M.; Kurniawan, Fachrul
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): 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.v7i2.38466

Abstract

Air pollution has become one of the most significant environmental problems in many cities throughout the world, which can endanger public health and the environment. Understanding the impact of meteorological conditions on air quality is very important to understanding air pollution patterns. This study investigates the influence of meteorological variables on air quality predictions in South Tangerang City, Indonesia, using the Random Forest method. Modeling is carried out by building two scenarios, namely predictions using meteorological variables and predictions without meteorological variables. Prediction performance analysis is measured using MAE, MSE, RMSE, R-square, and accuracy. The accuracy results of the research show that predictions without meteorological variables provide good prediction results with a value of 86.42%, but predictions with meteorological variables have better performance with a value reaching 98.99%. The largest error values from each model were 2.58 MAE, 71.82 MSE, and 8.4747 RMSE obtained in prediction modeling without meteorological variables, while the smallest error values were obtained in prediction modeling using meteorological variables, namely 0.00, 0.01, and 0.0219, respectively, for MAE, MSE, and RMSE. This research contributes to a better understanding of the relationship between meteorology and air pollution and air quality in urban areas and helps develop targeted mitigation strategies to improve air quality and public health, especially in South Tangerang City and the surrounding area.
Evaluation of the Utilization of Web-based Library Application Information Systems using Whitebox and Blackbox Testing Methods Pamungkas, Ananda Cipta; Samihardjo, Rosalin
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): 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.v7i2.38876

Abstract

The library information system is a computerized process for integrated data management. This research was conducted in the library located at SMAN 12 Bandung, Jl. Sekejati No. 36, Sukapura. The importance of performance measurement. The validity of implementation from the perspective of effectiveness and efficiency of web-based libraries is the main thing in the aim of managing library digitalization. This research was carried out using the Whitebox and Blackbox Testing integration method. The purpose of the research is to conduct an Information Technology Audit with the validity of measuring the effectiveness and efficiency of application functions. The research results show that the technical analysis of FlowGraph Whitebox is based on source code and flowcharts running on Cyclomatic Complexity which counts the number of nodes and edges in FlowGraph. Research implications support the assessment of the concrete validity of the method used. This can be seen from the research results that the performance of the Web-based Widyantara Library application at SMAN 12 Bandung is considered satisfactory with a good level of validity, this is proven by the test results using the white box testing method. Meanwhile, based on the analysis of the black box testing method on application functionality, the test results are said to be good with a validity percentage reaching 100%. Validity according to application design is proven by testing 10 application scenarios.
Struggling Models: An Analysis of Logistic Regression and Random Forest in Predicting Repeat Buyers with Imbalanced Performance Metrics Mauludiah, Siska Farizah; Arif, Yunifa Miftachul; Faisal, Muhammad; Putra, Dony Darmawan
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): 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.v7i2.39326

Abstract

Predicting repeat buyers is essential for businesses seeking to improve customer retention and maximize profitability. This study examines the effectiveness of logistic regression and random forest algorithms in forecasting repeat buyers, utilizing an e-commerce dataset from Kaggle. Despite the theoretical strengths of these models, our results indicate significant performance challenges. Both models were evaluated on key metrics: accuracy, precision, recall, F1 score, and ROC-AUC. The findings revealed that the models logistic regression and random forest performed poorly, with accuracy hovering around 50%, precision and recall demonstrating imbalanced performance, and ROC-AUC scores barely exceeding random guessing levels. Such metrics highlight the limited discriminative power of these models in identifying repeat buyers. The analysis suggests that issues such as data quality, feature relevance, and class imbalance contribute to these shortcomings. Specifically, the models struggled to effectively learn from the data, leading to suboptimal predictions. These results underscore the need for enhanced feature engineering, better handling of class imbalance, and possibly exploring more advanced algorithms. This study provides a critical assessment of the limitations inherent in using Logistic Regression and Random Forest for predicting repeat buyers, hence implements feature engineering, SMOTE and hyperparameter tuning using RandomSearchCV to get better result.
Easily Determining Post-Study System Usability for Anime Community E-Commerce Analysis Malik, Rio Andika; Octafia, Sri Mona; Gunawan, Vicky Setia
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): 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.v7i2.39352

Abstract

The rapid growth of e-commerce as a form of electronic commerce has transformed the global shopping landscape. To maintain user satisfaction and competitiveness, e-commerce sites must effectively understand and improve the usability of their systems after launch. The aims of the study are to improve e-commerce post-launch usability so that anime fans' enthusiasm can be capitalized upon for financial gain and market expansion. In this study, we adopted a combined approach that included user observations, interviews, surveys, and performance measurement for anime community e-commerce analysis Weeboo web commerce. Through this method, we analyze the behavior and views of users towards e-commerce systems. The results show that most users experience a positive experience in shopping online by appreciating the usability of the layout, search process, and fast checkout process. The results indicated that most users have a positive online shopping experience, appreciating the layout, search process, and fast checkout process. The SUS score of 75.375 (grade B) and the overall PSSUQ satisfaction score of 2.0296 indicate that the system is acceptably well-received. The proposed recommendations can help e-commerce companies quickly identify usability issues and implement relevant fixes.
Application of K-Means Clustering and OR-Tools to Optimize Rice Distribution: A Case Study of Perum Bulog Indonesia Christopher, Henokh Valentino; Purnama, Anya Anjani; Harahap, Sonya Mamoriska M.
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): 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.v7i2.40618

Abstract

Food security is one of the Indonesian government's priority policies aimed at maintaining economic and political stability. To ensure the nutritional needs of its population are met, the government requires sufficient food availability distributed nationwide at stable and affordable prices. Rice is the main staple food in Indonesia. According to data from the National Food Agency, rice consumption in Indonesia is very high, averaging 139 kilograms per capita per year, with a dependency rate of 97%. In response to food security challenges, the Indonesian government has entrusted the Food Supply and Price Stabilization Program (SPHP) for rice to Perum BULOG, a State-Owned Enterprise (SOE) specializing in food logistics. To optimize distribution to Perum BULOG’s retailers, called Rumah Pangan Kita (RPK), efficient routes and transport capacity are prioritized. Therefore, this paper proposes an approach using the Heterogeneous Capacitated Vehicle Routing Problem (HCVRP) to enhance distribution efficiency and reduce delivery costs. By employing the K-Means algorithm to cluster RPK addresses and Guided Local Search via OR-Tools to determine suitable transportation types, this study successfully identified optimal delivery routes for each cluster and corresponding vehicle types. The results demonstrated a reduction in delivery costs of up to 21%, significantly improving the efficiency of the SPHP rice distribution process. This outcome ultimately supports rice availability and price stability, crucial for maintaining food security in Indonesia.
Evaluating User Satisfaction in Institutional Repositories through a Combined WebQual 4.0, EUCS, and Importance–Performance Analysis Approach Putra, Syopiansyah Jaya; Nurazza, Abdullah Fadli; Arham, Zainul; Durachman, Yusuf; Waspodo, Bayu; Khalil, Ismail
Applied Information System and Management (AISM) Vol. 9 No. 1 (2026): 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.v9i1.46727

Abstract

The repository website of UIN Syarif Hidayatullah Jakarta was designed to provide open access to academic publications produced by students and faculty members. However, it continues to encounter issues concerning interface usability, information accuracy, service personalization, and data access speed. These challenges underscore the necessity for a comprehensive assessment of its quality and the level of user satisfaction. This study aims to identify the key factors influencing user satisfaction, measure overall website performance through the WebQual Index (WQI), and analyze the alignment between user perceptions and expectations using the Importance Performance Analysis (IPA). A quantitative approach was employed, applying the extended WebQual 4.0 model with the inclusion of accuracy and timeliness variables adapted from the End-User Computing Satisfaction (EUCS) framework. Data were collected from 402 undergraduate respondents and analyzed using SPSS through validity, reliability, partial t-tests, and paired sample t-tests. The findings reveal that all independent variables significantly affect user satisfaction, and the website achieved a WQI score of 0.80, indicating a very good quality level. Nevertheless, aspects such as visual appeal and service personalization require improvement. The gap analysis result of 0.35 signifies that current performance has yet to fully meet user expectations. Furthermore, the IPA quadrant mapping provides strategic insights, emphasizing the need to enhance data security and the timeliness of information delivery. This research contributes to both theory and practice by developing an integrated evaluation framework that combines WebQual 4.0, EUCS, and IPA, offering a structured model for assessing user satisfaction within digital academic repositories in higher education institutions.
Design and Analysis of UI Effectiveness for SDGs Interactive Learning Media Using Heuristic Evaluation Deli; Suwarno; Joanntika Lewis; Risna Yunita
Applied Information System and Management (AISM) Vol. 9 No. 1 (2026): 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.v9i1.48971

Abstract

Interactive learning media must be capable of presenting the concept of Sustainable Development Goals (SDGs) in an engaging and easily understandable way for students in support of achieving the Sustainable Development Goals. However, the effectiveness of such media is strongly influenced by user interface (UI) quality, as poor UI design can cause confusion, reduce user engagement, and hinder users' understanding of SDG concepts. This research aims to develop and analyze interactive learning media that support the dissemination of SDG content. The Multimedia Development Life Cycle (MDLC) method was used to develop the interactive learning medium, and the user interface was analyzed using the heuristic evaluation method, with questionnaires distributed to 200 high school students. The results show that the developed interactive learning medium achieved a "High" level of UI effectiveness with an average score of 4.04. The aesthetic and minimalist design principle (HE08) was the indicator that scored highest, indicating that respondents considered the system's visual design well implemented, ensuring users felt comfortable and did not encounter significant usability issues. The principles of error prevention (HE05) and helping users recognize, diagnose, and recover from errors (HE09) received lower scores, highlighting areas that require improvement. Overall, studies have demonstrated that the interactive learning medium improves student engagement and the learning experience with respect to SDG concepts. This research contributes to the development of interactive learning media and guides future research on interface improvement. 
Reviewing The Combination of Case-Based Reasoning and Machine Learning for Improving a Decision Support System Hendri Maradona; Fatchul Arifin; Sri Andayani
Applied Information System and Management (AISM) Vol. 9 No. 1 (2026): 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.v9i1.48904

Abstract

This study investigates the integration of case-based reasoning (CBR) with machine learning (ML) to enhance decision support systems. Due to the inadequate synthesis of empirical data in this domain by previous research, we undertook a systematic review of 46 indexed journal articles published between 2019 and 2024. The review adhered to PRISMA principles to ensure a transparent and rigorous selection and analysis procedure. We analyzed integration architectures and documented performance results, application areas, and persistent implementation challenges. The research indicates that hybrid CBR-ML systems typically surpass single-method systems in accuracy, precision, and flexibility, with an average improvement of approximately 7% over CBR-only systems. Sequential and ensemble approaches typically demonstrate effectiveness, though weighted hybrid designs often achieve superior precision and recall, particularly in complex problem domains such as healthcare and finance where accuracy is critical. Researchers based in Asia authored the majority of the reviewed studies, with contributions from Europe and Africa following. These regions concentrated high-impact applications in healthcare, finance, manufacturing, and environmental management. Notwithstanding these developments, several enduring challenges persist, including substantial computational demands, vulnerability to variations in data quality, and the continuing scarcity of clearly articulated evaluation protocols, which hinder the effective implementation of high-impact applications across these regions. Overall, existing findings suggest that integrating reasoning-oriented approaches with learning-based methods can yield a balanced trade-off between predictive accuracy and interpretability. 

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