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All Journal snimed Jurnal Teknoin TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jiko (Jurnal Informatika dan komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika EDUMATIC: Jurnal Pendidikan Informatika bit-Tech Jurnal Teknologi Dan Sistem Informasi Bisnis JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Automata Jurnal Ilmiah Intech : Information Technology Journal of UMUS International Journal of Social Science and Religion (IJSSR) J-SAKTI (Jurnal Sains Komputer dan Informatika) INOVTEK Polbeng - Seri Informatika
Chanifah Indah Ratnasari
Universitas Islam Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Topic Modeling of Skincare Comments from Female Daily Nabila, Nabila; Ratnasari, Chanifah Indah
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9625

Abstract

The increasing popularity of skincare products in Indonesia has encouraged many consumers to seek and share information through online platforms. One of the most influential platforms is Female Daily, which provides a space for users to review and discuss various skincare products. This study aims to explore the dominant topics within user-generated comments related to skincare products on Female Daily. The research employed a descriptive qualitative approach using topic modeling with Latent Dirichlet Allocation (LDA). Data were collected from user comments on several popular skincare products and were preprocessed through punctuation removal, case folding, tokenization, normalization, stopword removal, and stemming. The optimal number of topics was determined using coherence scores. The results reveal that users frequently discuss personal experiences, highlight product benefits and drawbacks, and often refer to their specific skin concerns. These insights provide valuable information for skincare brands to understand customer preferences and perceptions. In conclusion, topic modeling with LDA proves effective in extracting meaningful themes from large-scale textual data, offering a useful method for analyzing consumer feedback in the beauty industry.
Perancangan dan Analisa UI/UX Aplikasi Mobile BankHijau Menggunakan User-Centered Design dan User Experience Questionnaire Yogiswara, Yogiswara; Ratnasari, Chanifah Indah
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5495

Abstract

Waste management is a critical issue that affects not only Indonesia, specifically Yogyakarta, but the entire world. Ngudi Barokah Waste Bank is one of the waste sorting centers located in Yogyakarta. Ngudi Barokah waste bank has difficulties in the recording process because it is still done manually using books. In order to contribute to overcoming this problem, the BankHijau mobile application was built, which facilitates recording at Ngudi Barokah Waste Bank. In its development, the design of the user interface (UI) and user experience (UX) of the BankHijau application used a User-Centered Design (UCD) approach to suit user needs. The following stages are implemented: comprehending the user context, ascertaining user requirements, designing solutions, and conducting testing. The User Experience Questionnaire (UEQ) is utilized for testing purposes due to its ability to gather a detailed and thorough understanding of the user experience (UX). Testing was conducted on 26 respondents, who provided positive feedback on all aspects. The UEQ benchmark study reveals that attractiveness (2,15), efficiency (1,95), dependability (2,15), and stimulation (2,11) exhibit excellent criteria, while perspicuity (1,98) and novelty (1,54) provide good criteria. It can be concluded that the design of the BankHijau application is above the average of other applications. The existence of this application is expected to indirectly lower the volume of waste in final disposal sites (TPA) and encourage recycling, hence contributing to positive changes in waste management and helping overall environmental sustainability.
Designing UI/UX for Reading Games in Indonesian and English for Early Childhood Using the Human-Centered Design Method Azzam, Abdullah; Ratnasari, Chanifah Indah
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/dy9tf969

Abstract

This research aims to design an educational game "BacaKids" to help young children learn to read in Indonesian and English using the Human-Centered Design (HCD) method. The main issue addressed is the low reading ability of young children, caused by a lack of interactive learning methods and engaging media. This research seeks to create an intuitive, engaging user interface (UI) and user experience (UX) tailored to children's preferences. The research method consists of four stages in the HCD process: discover, define, design, and validate. In the discover stage, observations and interviews were conducted to understand user needs. These findings were analyzed in the define stage, forming the basis for wireframes and initial prototypes. During the design stage, the prototype was developed into an interactive game. Validation was conducted using the System Usability Scale (SUS), yielding a usability score of 91.75, well above average. The game’s Acceptability Ranges were rated as Acceptable, the Grade Scale as A, and the Adjective Ratings as Best Imaginable, indicating that the game is easy to use and well-received by users. This study demonstrates the effectiveness of HCD in creating enjoyable educational games that support reading development in early childhood.
An Automated System for Detecting and Improving Academic Text Politeness Using IndoBERT and IndoT5 Ariesty, Belina Eka; Ratnasari, Chanifah Indah
SISTEMASI Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i2.6125

Abstract

The increasing use of digital communication in academic interactions between students and lecturers is often not accompanied by consistent application of language politeness norms, potentially affecting the effectiveness of academic interactions. To date, efforts to enhance language politeness have predominantly relied on manual and subjective evaluation. This study aims to develop an automated system for detecting and improving politeness in Indonesian academic text communication. The proposed approach integrates IndoBERT as a classification model to identify levels of text politeness and IndoT5 as a generative model to transform sentences identified as impolite into more appropriate academic forms. The dataset consists of 6,230 labeled sentences collected through Google Forms, TikTok, and additional synthetic data generated using ChatGPT. Experimental results show that the IndoBERT model achieves an accuracy of 97.11% in classifying academic text politeness, while IndoT5 is capable of transforming impolite sentences into more appropriate academic expressions, as demonstrated by evaluations using BLEU, ROUGE, and METEOR metrics. This study results in an integrated deep learning–based system capable of automatically detecting and improving academic text politeness within a unified processing framework.
Adoption of the CSD Matrix to Improve the Business Process Quality of Software Development Teams Nabila Putri Ocktavia; Beni Suranto; Chanifah Indah Ratnasari
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.v8i2.2739

Abstract

This research aims to improve the quality of business processes in software development teams through the application of the CSD Matrix method. The CSD Matrix was reformulated in this research as a visual decision support tool to improve early sprint planning, by mapping project elements into three categories: certainties, suppositions, and doubts. The method was applied to the software engineering team at Mamikos through the completion of Capability Maturity Model Integration (CMMI) indicator-based questionnaires, both before (pre-test) and after (post-test) implementation. The results showed a significant improvement in the process maturity level, from an average score of 2.70 (Level 2: Developing) to 4.20 (Level 4: Managed), especially in the areas of retrospective, requirements management, and onboarding. This finding confirms that the CSD Matrix is able to encourage the structuring of the planning process, strengthen the team's collective awareness of risks and assumptions, and improve the effectiveness of cross-functional communication. With its lightweight, visual, and adaptive characteristics to Agile work environments, CSD Matrix proves to be a practical approach that can fill the gap between formal documentation and the daily coordination needs of software development teams.
Measuring e-Filing Adoption as an e-Government Service Using the Technology Acceptance Model Syifa Aliya Putri; Chanifah Indah Ratnasari
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.v8i1.2804

Abstract

The digital transformation of public services in Indonesia, as mandated by Presidential Regulation No. 95 of 2018 on SPBE (Electronic-Based Government System), has led to the development of e-Filing—an electronic tax return reporting system that allows taxpayers to submit their Annual Tax Return (SPT) online. However, adoption among individual taxpayers remains uneven. This study investigates the factors influencing the acceptance and use of e-Filing among individual taxpayers registered at KPP Pratama Banjarmasin using the Technology Acceptance Model (TAM). Employing a quantitative explanatory approach, data were collected from 100 purposively selected respondents through structured questionnaires and analyzed using PLS-SEM. The findings reveal that perceived ease of use significantly influences users’ attitudes, and positive attitudes, in turn, strongly predict the intention to continue using e-Filing. However, perceived usefulness shows no significant effect on either user attitudes or usage intentions, highlighting a key divergence from core TAM assumptions. Moreover, intentions to use the system significantly influence actual usage, while ease of use and usefulness do not directly drive usage intentions. This study contributes uniquely by identifying a gap between perceived system benefits and actual behavioral intent, especially in the context of infrequent or assisted use among taxpayers. It recommends broader research that includes varied demographic groups and adopts extended models like UTAUT to explore external influences such as digital literacy, policy enforcement, and user support.
Personalized Skincare Recommendation System Based on Ontology and User Preferences Asista Ainun Jannatin; Chanifah Indah Ratnasari
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.v8i1.2857

Abstract

Personalized skincare product selection remains a complex but critically important challenge, as tailoring recommendations to individual skin profiles directly enhances treatment efficacy and fosters consumer trust. Traditional systems, such as content-based and collaborative-filtering, often fail to capture semantic interactions among skin types, concerns, and ingredients. To address these limitations, we propose an innovative ontology-based skincare recommendation system that integrates structured dermatological knowledge with semantic reasoning. Leveraging the Methontology framework, we developed an ontology composed of twelve core classes such as Product, Ingredient, Skin Type, and Skin Concern and more than twenty-five object properties to model interrelated concepts. The knowledge base was populated via web scraping from three prominent platforms (Sociolla, Beautyhaul, Skinsort), yielding over 3,800 products and 28,000 ingredients. We augmented this dataset with dermatological literature to ensure clinical validity. The architecture employs Apache Jena Fuseki and SPARQL for inference, with a React-Node.js web interface. Users input skin type, concerns, and sensitivities, which are translated into RDF triples and processed through semantic rules to generate personalized recommendations. An evaluation based on the Technology Acceptance Model (TAM) assessed Perceived Usefulness and Ease of Use. Ten diverse respondents rated the system with an average score of 4.5 out of 5 (SD=0.3) and endorsed the relevance of recommendations with a score of 4.8. Our findings demonstrate that semantic technologies can significantly enhance personalization and transparency in skincare solutions. This work lays a robust foundation for future innovations in beauty technology, clinical decision support, and consumer health platforms.
Siaga Kids: An Educational Game for Enhancing Self-Safety Awareness Among Elementary School Students Husein Abimanyyu; Chanifah Indah Ratnasari; Septiana Widayanti
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.v8i2.3296

Abstract

Safety education is a crucial component of early childhood learning, as elementary school students often have limited ability to identify potential dangers and respond appropriately. Although numerous studies have introduced educational games for safety learning, most focus on a single topic, such as disaster preparedness or traffic safety. There remains a lack of integrated, multi-threat learning media that simultaneously address different types of risks within one child-friendly platform. This study aims to address this gap by developing "Siaga Kids," an Android-based educational game designed to enhance children’s safety awareness through interactive and age-appropriate gameplay. The development process followed the ADDIE model, which consisted of Analysis, Design, Development, Implementation, and Evaluation. The game covers three key safety themes—earthquake preparedness, traffic sign recognition, and awareness of strangers—presented through visual storytelling and simple, engaging interactions suited for young learners. The study involved 20 students from grades 2 and 3 (ages 7–9) at SDII Nurul Musthofa, Klaten, Indonesia. Data collection included a pre-test, post-test, and a usability evaluation using the System Usability Scale (SUS). The findings show an improvement in students’ average scores from 8.10 to 9.75 after playing the game. The SUS score of 80.71 indicates “Acceptable” usability with an “Excellent” adjective rating. These results demonstrate that "Siaga Kids" is easy to use, engaging, and well-received by young users. Overall, the game effectively supports multi-threat safety education and offers a promising digital tool for strengthening personal safety awareness in elementary school children.
A Comparative Study of Naïve Bayes, SVM, and BiLSTM for Indonesian Tweet Gender Classification Purna Aji Wardhana; Chanifah Indah Ratnasari
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.v8i2.3405

Abstract

Indonesian social media platforms, particularly X (formerly Twitter), generate short and highly informal texts that contain linguistic cues useful for demographic inference. Given the scarcity of controlled comparative studies in Indonesian gender prediction, especially with modest datasets, this research evaluates the performance of Multinomial Naïve Bayes, Linear Support Vector Machine (SVM), and Bidirectional Long Short-Term Memory (BiLSTM) using a balanced corpus of 478 manually labeled Indonesian-language tweets. These three models were selected to represent classical probabilistic learning, margin-based linear classification, and neural sequence modeling, thereby enabling a methodologically coherent comparison across distinct algorithmic paradigms. The study implemented a unified workflow consisting of manual labeling, structured preprocessing with Sastrawi stemming, RandomOverSampler for class balancing, TF-IDF features for classical models, and sequence-based tokenization for BiLSTM. All models were trained and evaluated using a stratified 80:20 split. Experimental results show that Linear SVM achieved the strongest performance, reaching 0.833 accuracy and 0.832 macro-F1, surpassing Naïve Bayes (0.771 accuracy) and BiLSTM (0.740 accuracy). SVM also demonstrated the most stable confusion-matrix distribution and superior AUC characteristics, while BiLSTM exhibited fluctuating validation curves, indicating sensitivity to the limited dataset size. These findings reinforce that classical models—particularly Linear SVM remain highly competitive for Indonesian short-text gender classification in low-resource environments and offer practical advantages where computational constraints and data scarcity are prominent. Although the dataset is topically narrow and limited in scale, the results highlight the need for larger corpora or transformer-based Indonesian models to further enhance generalizability and downstream demographic inference.
Business Process Modeling and Prototype Development for a Digital Custom Batik Ordering System Mahendi Putri Dinanti; Chanifah Indah Ratnasari
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.v8i2.3439

Abstract

Manual ordering practices pose significant challenges for many craft-based small enterprises in Indonesia, including batik producers, where customer interactions, documentation, and production tracking remain largely informal. These fragmented processes result in inconsistencies, limited data access, and coordination difficulties, particularly in custom-order workflows involving multiple approval stages. This study seeks to redesign Batik Aryu’s ordering system, develop a user-centered prototype, and evaluate its user experience to assess the impact of digitalization on operational efficiency and service quality. The methodology combines Business Process Model and Notation (BPMN) for workflow analysis, evolutionary prototyping for iterative system design, and the User Experience Questionnaire (UEQ) to evaluate perceptions from both customers and administrators. BPMN analysis identified key bottlenecks in the existing manual process, leading to the development of a streamlined digital workflow that improves traceability and communication. The prototype underwent refinement through iterative feedback from the business owner, five administrative staff, and seventeen customers. UEQ results revealed varying perceptions: administrators rated most dimensions as Below Average, while Efficiency was rated as Above Average and Novelty as Good; customers rated Efficiency as Excellent, with Attractiveness and Novelty classified as Good. These findings highlight the effectiveness of the digital system in enhancing customer-facing processes, though administrative usability requires further refinement. This study contributes to the growing body of SME digitalization literature by providing an actionable framework that integrates BPMN, evolutionary prototyping, and UEQ for digital transformation, with recommendations for backend integration and real-world testing.
Co-Authors Abdullah Azzam Agy Audia Iskandar Ahmad Fathan Hidayatullah, Ahmad Fathan Ariesty, Belina Eka Asista Ainun Jannatin Aulia Safira Ahda Beni Suranto Diah Hanifah Putri Dian Dwi Ramadhan Fatimah Azzahra Fattah, Fardhan Saifullah Husein Abimanyyu Ilmiana, Indah Rahma Khirana Dwicahyo Khukuh Anugrah Yuwamahendra Linda Rosita Luthfi Syukriansyah Fitra Mahendi Putri Dinanti Mina Rofida Rahmatina Mohammad Reza Ali Firdaus Muhammad Mellano Anantatia Nabila Putri Ocktavia Nabila, Nabila PandiAstuti, Dien NoorFawziah Pratama, Nanda Zakir Shihab Purna Aji Wardhana Rafi Arribaath Alfaresy Rizkina Maulida Safira Rizquina, Apriza Zicka Sallu Muharomah Satrio Wisnugroho Selviana Desi Permatasari Septia Rani Septiana Widayanti Siti Latifah Mubasiroh Sri Haryati Sri Kusumadewi Syifa Aliya Putri Willy Wildan Kamal Yogiswara Yogiswara