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Fatsyahrina Fitriastuti
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Program Studi Informatika, Fakultas Teknik, Universitas Janabadra. Jalan Tentara Rakyat Mataram No. 55-57, Yogyakarta 55231
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INDONESIA
Informasi interaktif : jurnal informatika dan teknologi informasi
Published by Universitas Janabadra
ISSN : 25275232     EISSN : 25275240     DOI : 10.37159/jii
Core Subject : Science,
Computer Science & IT
Jurnal Informasi Interaktif membahas topik-topik yang secara umum berkaitan dengan isu-isu Hukum di Indonesia dan di seluruh dunia. Artikel yang dikirimkan mungkin mencakup isu-isu topikal di Kecerdasan Buatan Jaringan Saraf Tiruan Algoritma Genetik Grafika Komputer Sistem Pakar Wireless and Mobile Technology Remote Sensing Image and Signal Processing Multimedia Teknologi Web Data Center Distributed System Middleware Arsitektur Komputer Sistem Operasi Rekayasa Perangkat Lunak Sistem Informasi Sistem Informasi Geografi Optimasi dan Teknologi Basis Data Interaksi Manusia dan Komputer Data Mining Kriptografi Keamanan Teknologi Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 74 Documents
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ANALISIS KETERGANTUNGAN MAHASISWA TERHADAP CHATGPT DALAM KONTEKS AKADEMIK: PEMODELAN KLASIFIKASI BERBASIS NAÏVE BAYES: ANALYSIS OF STUDENTS' DEPENDENCE ON CHATGPT IN ACADEMIC CONTEXT: NAÏVE BAYES-BASED CLASSIFICATION MODELING Endraswari, Putri Mentari; Tou, Nurhaeka; Iski Zaliman
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 10 No 3 (2025): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

The development of artificial intelligence technology has given birth to various applications that support the learning process, one of which is ChatGPT. The presence of ChatGPT makes it easier for students to find references, understand materials, and complete assignments. However, excessive use has the potential to create dependency, thus weakening students' learning independence. This study aims to analyze the level of student dependency on ChatGPT and its relationship to learning independence using a machine learning approach. The study was conducted by distributing questionnaires to 58 students covering seven categories of statements, including personal data, frequency of ChatGPT use, purpose of use, behavior towards ChatGPT answers, learning independence, attitudes towards dependency, and student dependency labels. The collected data were analyzed using the Naive Bayes algorithm with preprocessing processes such as data cleaning, coding categorical variables, and dividing the data into a training set (80%) and a testing set (20%). The results showed that the majority of students were in the medium dependency category (72%), followed by the low (13%) and high (15%) categories. The Naive Bayes model was able to classify the level of dependency with 83.3% accuracy on the test data. Further analysis revealed that the dominant factor influencing dependency was not only frequency of use, but also attitudinal aspects, such as a lack of confidence without ChatGPT and a tendency to use ChatGPT as a primary learning resource. It can be concluded that ChatGPT is an effective tool, but if not used wisely, it has the potential to undermine students' learning independence. Therefore, AI literacy and the cultivation of critical learning habits are needed so that this technology can support, not replace, the independent learning process.
RANCANG BANGUN SISTEM PENJUALAN KUE ONLINE BERBASIS WEB DENGAN PENDEKATAN FEATURE DRIVEN DEVELOPMENT (FDD) ELLUFFI HOME BAKERY Putri, Yunda; Sokibi, Petrus; Norham, Linda
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 10 No 3 (2025): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

The development of information technology encourages business owners to utilize web-based systems to improve business effectiveness. Elluffi Home Bakery previously relied on conventional ordering methods through WhatsApp, which caused several issues such as unstructured order data and limitations in transaction management. This study aims to design and develop a web-based online cake sales system using the Feature Driven Development (FDD) method. The FDD method consists of five stages, namely Develop an Overall Model, Build a Feature List, Plan by Feature, Design by Feature, and Build by Feature. The system was developed with key features such as product management, shopping cart, ordering, transaction history, sales reports, and user authentication. Testing was carried out using User Acceptance Testing (UAT). Based on the results, it can be concluded that the developed web-based online cake sales system is able to simplify the transaction process, document order data in a more structured manner, and improve business management efficiency. Therefore, this system can assist Elluffi Home Bakery in expanding marketing reach and increasing competitiveness in the digital era.
PERANCANGAN UI/UX APLIKASI KESEHATAN PATIENT-CENTRIC MENGGUNAKAN METODE USER CENTERED DESIGN BERBASIS MOBILE (STUDI KASUS: KLINIK MUHAMMADIYAH) fadel, FadelMuhammad; Kusnadi, Kusnadi; Fahrudin, Rifqi
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 10 No 3 (2025): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

The rapid development of digital technology in the healthcare sector has encouraged clinics and healthcare facilities to improve service quality through application-based innovations. Klinik Muhammadiyah, as one of the healthcare providers, seeks to adopt a patient-centric healthcare application designed to facilitate patients in accessing information, registering for services, and interacting with medical professionals. This study aims to design the user interface (UI) and user experience (UX) of a patient-centric healthcare application by applying the User-Centered Design (UCD) method. The UCD approach was chosen because it emphasizes active user involvement at every stage of the development process, from needs analysis, design, to evaluation. Data collection was conducted through interviews, questionnaires, and observations involving patients, medical staff, and administrative personnel. The design results were visualized in the form of wireframes and high-fidelity prototypes, which were then evaluated using usability testing with parameters of effectiveness, efficiency, and satisfaction. The evaluation results show that the developed UI/UX design meets user needs and provides a more intuitive, faster, and satisfactory user experience. Therefore, the application of the UCD method proves to be effective in designing a patient-centric healthcare application that can enhance service quality at Klinik Muhammadiyah. Keywords: User-Centered Design, UI/UX, Healthcare Application, Patient-Centric, Klinik Muhammadiyah
A SISTEM INFORMASI BERBASIS WEB UNTUK PEMBUATAN DAN PENGELOLAAN PORTOFOLIO PRIBADI Batubara, Muhammad Sakban; Hutabarat, Purnama Helena
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

The swift of information technology has motivated numerous people—especially professionals, students, and scholars—to build their digital self-image. A personal portfolio is an effective way to showcase their identity, skills, and work. However, physical portfolios have several limitations, such as being difficult to access, difficult to distribute, difficult to update, less visually appealing, and requiring dedicated storage space. As a solution, a web-based personal portfolio is here to display professional data and individual work in a more structured, interactive, and easily accessible way via the internet. The purpose of this research is to develop and create a personal portfolio website that is responsive, interactive, and easy to use. The development approach used in this study follows  the waterfall model, encomassing the phases of requirements analysis, system design, implementation, and testing. The system was built utilizing PHP, HTML, CSS, and JavaScript programming languages, with a MySQL database as a storage medium. The findings of this research are a web-based personal portfolio creation information system that makes it easy for users to display personal data, educational history, work experience, projects, and skills in a professional and attractive manner. Furthermore, this system can reduce reliance on physical portfolios, which tend to be expensive and time-consuming to create. Data updates are also faster and more efficient. With this website, users are expected to build a professional image in the digital world and make it easier for others to recognize and assess their competencies more effectively.
SISTEM CERDAS BERBASIS MACHINE LEARNING UNTUK DIAGNOSIS PENYAKIT PADA KUCING Setiawan, Ade; Silap, Renatan Hosea; Fahrezi, Rio; Nur Rakhmah, Syifa; Ayu Sariasih, Findi; Sutoyo, Imam
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

The challenge of diagnosing cat diseases quickly and accurately, caused by the tendency of cats to hide pain and often non-specific clinical symptoms, forms the primary background of this research. This study aims to design and build an intelligent system based on machine learning that can provide initial diagnostic recommendations for common cat diseases based on symptom data. The research method used adopts the Agile Scrum framework , with the K-Nearest Neighbor (KNN) algorithm as the classification core. System testing was conducted on 200 test data points covering five main diseases: Cat Flu, Worms, Fungal Infection, Rabies, and Diarrhea. The test results showed excellent performance with an average accuracy rate of 92.50%. Specifically, the system successfully classified 185 data points correctly and 15 incorrectly , with Rabies recording the highest accuracy (96.67%). Although there is still an error rate of 7.5% , this system is proven feasible for use as an initial diagnostic aid; however, its use must still be supported by direct confirmation from a professional veterinarian.
Sistem Rekomendasi Destinasi Wisata Menggunakan Content-Based Filtering dan Analisis Fitur Geospasial Widika, Arya; Susilo, Putri Salsabila; Ramadhan, Andhika Ibnu; Rakhmah, Syifa Nur; Sariasih, Findi Ayu; Sutoyo, Imam
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

This study develops a tourism destination recommendation system based on Content-Based Filtering integrated with geospatial feature analysis to enhance the relevance and contextual accuracy of recommendations for users. The system addresses the limitations of existing tourism recommendation platforms that primarily focus on popularity and ratings without considering users’ location proximity and personal preferences. The dataset used in this research originates from Tourism in Indonesia (Kaggle), focusing on the Jakarta and Bandung regions. Text features are extracted using the Term Frequency–Inverse Document Frequency (TF-IDF) method, while the similarity between destinations is measured using Cosine Similarity. Additionally, geographic distances are analyzed through the Haversine formula to strengthen the spatial context of the recommendations. The system was developed using the Agile (Scrum) methodology to ensure an iterative and adaptive development process aligned with user needs. Evaluation results indicate strong system performance, achieving a Precision of 0.63, Recall of 0.90, and an F1-Score of 0.73. These findings demonstrate that integrating content-based and spatial analysis approaches effectively improves the accuracy and personalization of tourism recommendations based on users’ preferences and location context.
Analisis Sentimen Kualitas Bahan Bakar Pertamina Menggunakan Algoritma Support Vector Machine Pada Platform X Setyawan, Jefri; Omegatha Lamanda, Julius; Ibnu Nasrulloh, Faisal Raihan; Nur Addin, Shofyan; Yogi Pamungkas, Achmad; Nur Hasan, Fuad
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

Fuel quality is an important factor that influences engine performance and customer satisfaction. As the main fuel provider in Indonesia, Pertamina must ensure that its products meet public expectations. This study aims to analyze public sentiment toward the quality of Pertamina’s fuel products based on data obtained from Platform X (Twitter), using the Support Vector Machine (SVM) algorithm as the primary classification method. Data were collected through a crawling process using the tweet-harvest library version 2.6.1 from April 1, 2025, to September 30, 2025, resulting in 1,596 comments. The data then underwent preprocessing, including cleaning, case folding, normalization, tokenizing, stopword removal, and stemming. Sentiment labeling was performed automatically using a lexicon-based approach with two categories—positive and negative—resulting in 799 positive and 795 negative data points. The classification process was carried out using SVM with an 80% training and 20% testing data split. Based on the evaluation results, the SVM model demonstrated effective and stable performance in classifying Indonesian-language text sentiment in the context of public opinion toward Pertamina’s fuel products.
RANCANG BANGUN SISTEM INFORMASI PENDAFTARAN DAN ABSENSI ASLAB BERBASIS CONTAINER-AS-A-SERVICE (CAAS) (STUDI KASUS: FASTAPI DAN GOOGLE CLOUD RUN) rifa'i, Hikmal Dwi; Ali, Firman; Endaswari, Putri Mentari
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

Manual management of laboratory assistants (aslab) often leads to problems such as inefficiency in data management, information delays, and a lack of transparency in the selection process. On the other hand, the development of information systems in campus environments is often hampered by traditional server infrastructure (IaaS) which is complicated to maintain and inefficient in terms of operational costs, especially during low traffic. This study aims to design and build an Aslab Registration, Administration, and Attendance Information System by implementing a modern architecture in the form of Container-as-a-Service (CaaS). The system is built using the Python FastAPI framework, packaged with Docker container technology, and deployed on Google Cloud Run services integrated with Google Cloud SQL. The research method uses a Research and Development (R&D) model adapted from the Borg & Gall model. The results of Black-Box testing and User Acceptance Testing (UAT) indicate that the system runs well in a serverless cloud environment and meets user functional needs. The use of a CaaS architecture provides significant advantages in terms of automatic scalability (auto-scaling), cost efficiency through a pay-per-request model, and ease of deployment compared to conventional server infrastructure.
PREDIKSI REKOMENDASI WISATA DI INDONESIA MENGGUNAKAN METODE HYBRID CBF BERBASIS TF-IDF, COSINE SIMILARITY, DAN NEURAL NETWORK febrina, anggi; Elshie, Dwi; Almuhtadi Billah, Sabily; Asterina, Yuly; Sony Maulana, Muhammad
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

This research aims to develop a predictive recommendation model for tourist destinations in Indonesia using a hybrid approach that integrates TF-IDF and Cosine Similarity-based content analysis with Neural Network modeling. The main problem addressed is the high complexity in determining relevant tourist destinations due to the numerous choices and diversity of characteristics among destinations. The dataset used consists of 935 tourist destination data points, including text and numeric attributes. The TF-IDF method is used to extract features from destination descriptions, followed by Cosine Similarity to calculate their compatibility with user preferences. Meanwhile, the Neural Network processes numeric features such as category, province, and description length to generate additional relevance prediction scores. These two scores are combined through a hybrid approach to achieve more accurate recommendation results. Evaluation results show that the hybrid model performs very well with Precision@250 of 0.90 and Recall@250 of 0.97, indicating that the model not only selects relevant destinations but also successfully captures nearly all destinations matching user preferences. Overall, this hybrid approach provides more comprehensive recommendations compared to single methods and has the potential to be implemented in a national-scale tourism recommendation system.
APLIKASI DIGITAL PERANCANGAN APLIKASI DAN IMPLEMENTASI SISTEM REPOSITORI DIGITAL UNTUK PENGELOLAAN KOLEKSI DOKUMEN DI SMK YUPPENTEK 1 TANGERANG : PERANCANGAN APLIKASI Hasna Fikriyah Ramadhani; Setiawan, Didi; Aji Pangestu, Agung; Haryono, Wasis
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

At SMK YUPPENTEK 1 Tangerang, there are still many issues in managing documents such as student final assignments, scientific papers, and administrative documents. Conventional storage, either physically or scattered across various digital media, increases the risk of losing important data and causes difficulties in searching, monitoring, and sharing information. The SRD was developed using the PHP programming language, built with the Laravel framework and MySQL database, providing a robust and scalable platform. The results of the implementation and functional testing using Black-Box Testing show that the Digital Repository System (SRD) has successfully aided the document digitalization process, storage standardization, and ease of access through access control mechanisms and advanced search features at SMK YUPPENTEG 1 Tangerang, aiming to increase operational productivity and ensure consistent data availability. The main finding of the research is the increased  security of digital assets and a reduction in search time of more than 70%. In conclusion, the implementation of the Digital Repository System at SMK YUPPENTEK 1 Tangerang has proven successful as a modern solution that can improve operational efficiency and ensure continuous information availability.

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