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All Journal Jurnal Media Infotama Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sistem Informasi dan Bisnis Cerdas Sistemasi: Jurnal Sistem Informasi JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Kridatama Sains dan Teknologi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) Jifosi Nusantara Science and Technology Proceedings Jurnal Pendidikan dan Teknologi Indonesia Jurnal Ilmiah Wahana Pendidikan Computer Science (CO-SCIENCE) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Sistem Informasi dan Bisnis Cerdas Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Innovative: Journal Of Social Science Research Jurnal Pengabdian West Science ILTEK : Jurnal Teknologi Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Ilmiah Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Router : Jurnal Teknik Informatika dan Terapan Journal of Golden Generation Multidisciplinary Jurnal Nasional Teknologi Informasi dan Aplikasinya Jurnal Publikasi Ilmu Komputer dan Multimedia
Wahyuni, Eka Dyar
Information System Department, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
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Frontend Design and Development of Thesis Management Application Using NextJS in Physics Study Program UPN “Veteran” Jatim Adimas Syiraa Setiabudhi; Eka Dyar Wahyuni; Nur Cahyo Wibowo
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4385

Abstract

In higher education institutions, managing undergraduate thesis administration remains a challenge, particularly in the Physics Study Program, which currently lacks an system that can manage the process of students thesis. To address this issue, the Thesis Management Application was developed as a solution to manage thesis administration through a web-based system accessible to Students, Lecturers, Thesis Coordinators, and Study Program Coordinator. This study focuses on frontend web development using the Next.js framework and APIs. The application offers key features including authentication, pre-proposal submission, thesis advisor assignment, seminar and examination management, and submission of graduation documents. The development process followed the Scrum methodology over six sprint iterations. The application was tested using both black-box testing and user acceptance testing. A total of 177 were tested using black-box testing, all of which received a passed status. User Acceptance Testing was conducted across the four user roles mentioned earlier, with all features receiving accepted status Finally, the system was deployed on the Vercel cloud hosting server, allowing public access for users.
Backend Design and Development of Thesis Management and Scheduling Application Using Rule-Based Algorithm in Physics Department UPN “Veteran” Jatim Andhika Rizky Aulia; Eka Dyar Wahyuni; Reisa Permatasari
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4386

Abstract

Thesis administration in higher education can be complex, especially in programs like Physics that previously lacked a structured system for managing thesis activities and seminar schedules. To address this, a backend system was developed to streamline these processes using a rule-based algorithm. The system supports multiple user roles—including students, lecturers, thesis coordinators, program coordinators, and administrators—by providing web-accessible API services. Key features include user authentication, pre-proposal submission, advisor assignment, seminar scheduling (proposal and final), oral examination coordination, and graduation document submission. The development followed the Scrum methodology over six sprint cycles, with each cycle aimed at improving functionality and ensuring system stability. To ensure the system met all functional requirements, black-box testing was conducted. The final version was deployed on a cloud hosting platform using Cloud Run, enabling public access to its API services. This solution is intended to enhance efficiency, reduce administrative workload, and provide a centralized, accessible platform for all stakeholders involved in the thesis process.
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

Abstract

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.
IMPLEMENTASI SISTEM INFORMASI EKSEKUTIF UNTUK EVALUASI KINERJA PENJUALAN TIKET KAPAL MENGGUNAKAN METODE VISUALISASI DATA DAN DRILL-DOWN (STUDI KASUS: SEAPASS)of Golden Generation Multidisiplin Eka Wahyudinarti; Putri Andini Rachmatika; Agung Brastama Putra; Siti Mukaromah; Eka Dyar Wahyuni
Journal of Golden Generation Multidisciplinary Vol. 1 No. 2 (2025): Desember 2025 : Journal of Golden Generation Multidisciplinary
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jggm.v1i2.218

Abstract

Pertumbuhan pesat industri transportasi maritim menyebabkan peningkatan volume data transaksi yang signifikan, sehingga menimbulkan tantangan bagi perusahaan dalam mengelola dan memanfaatkan informasi untuk pengambilan keputusan eksekutif. Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Informasi Eksekutif (EIS) pada SeaPass guna mengevaluasi kinerja penjualan tiket kapal. Sistem ini memanfaatkan teknik visualisasi data yang dikombinasikan dengan mekanisme penelusuran dua tingkat, sehingga memungkinkan analisis data secara hierarkis dari ringkasan eksekutif hingga detail operasional. Pengembangan sistem dilakukan melalui siklus hidup terstruktur, diawali dengan analisis kebutuhan eksekutif dan dilanjutkan dengan perancangan prototipe UI/UX menggunakan Figma. Implementasi sistem menggunakan HTML, CSS, dan JavaScript pada sisi front-end, serta MySQL sebagai basis data. Pengujian fungsional dilakukan menggunakan metode Black Box Testing untuk memastikan keandalan sistem. Hasil penelitian menunjukkan bahwa EIS mampu mengintegrasikan data jadwal, informasi kapal, dan data penumpang ke dalam dasbor interaktif. Fitur penelusuran dua tingkat membantu eksekutif mengidentifikasi tren penjualan, anomali operasional, dan perubahan pasar secara real-time, sehingga mendukung pengambilan keputusan yang lebih akurat dan strategis.      
Software Quality Analysis using the ISO 25010 Standard on the Digital Information System of the Blitar City Government Widiastuti, Diajeng Putri; Nur Cahyo Wibowo; Eka Dyar Wahyuni
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.15884

Abstract

The Online and Integrated Personnel Information System (SIKOI) was developed by the Regional Civil Service and Human Resource Development Agency (BKPSDM) to manage the administrative data of approximately 3,200 employees in the City of Blitar. As the system is still under development, this study aims to evaluate the quality of the SIKOI application using the ISO/IEC 25010 standard, which covers both functional and non-functional aspects. The research methods include direct observation and literature review regarding software quality standards. The evaluation was conducted across seven key characteristics: functional suitability, performance efficiency, compatibility, usability, reliability, security, and portability. The results of this study provide insights into the system’s quality and assist system managers in formulating appropriate improvement measures. SIKOI is considered sufficiently feasible to support personnel management in Blitar City; however, several aspects still require improvement in order to fully optimize its overall performance.
Pengamanan Data Akademik Berbasis Web dengan Enkripsi AES-256 (Studi Kasus pada Pendataan Digital SMA XYZ) Zahrah Hayat Arka Putri; Yessy Arye Yustraini; Ramdhan Ariansyah; Najma Choirun Nisa; Eka Dyar Wahyuni; Agung Brastama Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 3 (2025): JNATIA Vol. 3, No. 3, Mei 2025
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2025.v03.i03.p26

Abstract

The advancement of information technology has significantly facilitated data management, particularly in the field of education. However, this convenience also presents new challenges in ensuring data security, especially for academic information that is sensitive and vulnerable to unauthorized access. This study aims to develop a web-based academic data security system by implementing the AES-256 encryption algorithm in Cipher Block Chaining (CBC) mode. The system is built using the PHP programming language and MySQL database to manage student data such as name, NISN, class, address, gender, religion, and mother’s name. The core functionality lies in encrypting and decrypting sensitive information using the openssl_encrypt and openssl_decrypt functions, integrated with a 256-bit encryption key and a randomly generated Initialization Vector (IV) to ensure confidentiality. The encrypted data is stored in base64 format to maintain compatibility with relational databases and storage systems. Testing was conducted to evaluate the accuracy of the encryption-decryption process and to assess the impact on system performance. Results show that the system effectively secures sensitive data; the encrypted entries in the database are unreadable to unauthorized users and can only be restored using the correct encryption key and IV. With a simple yet functional user interface and automated encryption handling, the system proves to enhance academic data security without compromising operational efficiency. These findings demonstrate that the implementation of AES-256-CBC encryption can be effectively applied in educational information systems, offering a practical and reliable solution for safeguarding academic data in web-based environments.
Sistem Rekomendasi Paket Menu Menggunakan Algoritma FP Growth di Teré Café and Bar Seminyak Hukama’ Nur Romadlon; Eka Dyar Wahyuni; Nur Cahyo Wibowo
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 2 (2025): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i2.4404

Abstract

The rapid growth of the food and beverage industry encourages business actors to have innovative sales strategies to increase their sales. This thesis focuses on TERÉ café and Bar Seminyak, which has not utilized its sales transaction data optimally. The main purpose of the preparation is to identify customer purchasing patterns and formulate recommendations for food and beverage menu packages that can increase sales. This thesis uses data mining techniques with Association Rules and the FP-Growth algorithm to analyze sales transaction data at TERÉ café and Bar Seminyak based on customer preferences in five different time sessions. The data used is sales data from July 1, 2023 to June 30, 2024 and the framework used is CRISP-DM. The results of the analysis show that there is a strong combination between “Octopus” and “Burger” in the opening session, a strong combination between “Baked Egg” and “Avocado Toast” or “Tere Toast” in the lunch session, and in the next three sessions there is a strong combination between “Bintang (PACKAGE)” and “B2G3 BINTANG”. These results were obtained from the min support parameters of 0.01, confidence of 0.1 and lift of 2.
Analisis Sentimen Multi-Aspek pada Ulasan Aplikasi MySiloam Menggunakan Pipeline BERTopic dengan Perbandingan Algoritma Clustering Jihan Hasna Iftinan; Eka Dyar Wahyuni; Reisa Permatasari
INFORMASI (Jurnal Informatika dan Sistem Informasi) Vol 18 No 1 (2026): INFORMASI (Jurnal Informatika dan Sistem Informasi)
Publisher : LPPM STMIK Indonesia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37424/informasi.v18i1.556

Abstract

Tingginya volume ulasan pengguna aplikasi kesehatan digital belum dimanfaatkan secara optimal untuk memahami aspek spesifik yang memengaruhi pengalaman pengguna. Penelitian ini bertujuan menganalisis sentimen berbasis multi-aspek pada ulasan aplikasi MySiloam menggunakan metode BERTopic untuk ekstraksi aspek dan SVM One-vs-One untuk klasifikasi sentimen. Sebanyak 2.657 ulasan dikumpulkan dari Google Play Store dan App Store rentang 2019–2025, disaring menjadi 1.699 ulasan setelah preprocessing. BERTopic dijalankan dengan perbandingan tiga algoritma clustering (HDBSCAN, BIRCH, K-Means) dan klasifikasi sentimen dibandingkan dalam dua skenario yaitu pendekatan dua tahap dan klasifikasi gabungan. K-Means dengan stemming menghasilkan tiga aspek layanan utama dengan kualitas topik terbaik, sementara pendekatan dua tahap menghasilkan F1-score tertinggi 89,53%, membuktikan bahwa kombinasi BERTopic dan SVM OvO efektif sebagai solusi otomatis analisis sentimen berbasis aspek pada ulasan aplikasi kesehatan digital berbahasa Indonesia.
Klasifikasi Multi-Label Dan Ekstraksi Entitas Pada Ulasan Aplikasi Blu by BCA Digital Menggunakan IndoBERT Bhagas Satrya Dewa; Eka Dyar Wahyuni; Nur Cahyo Wibowo
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.v5i2.402

Abstract

The growth of digital banking services in Indonesia has heightened the need to understand factors influencing users' application continuance intention. However, prior studies remain limited to single-label classification and general sentiment analysis, lacking the ability to capture the complexity of information in Indonesian-language user reviews in a structured manner. This study aims to perform multi-label classification based on four Expectation-Confirmation Model (ECM) factors—Confirmation, Perceived Usefulness, E-satisfaction, and Perceived Security—and to extract six Named Entity Recognition (NER) entities from Blu by BCA Digital application reviews using IndoBERT. The dataset was collected from Google Play Store and Apple App Store covering January to December 2025, yielding 3,389 Indonesian-language reviews after filtering. The study employs a single-task approach, applying oversampling and Focal Loss for multi-label classification, and token augmentation with Conditional Random Field (CRF) for NER. Annotation validation using Krippendorff's Alpha yielded average values of 0.856 for intent labels and 0.919 for NER entities. Results show that the best classification model achieved an F1-Score of 0.798 with a Hamming Loss of 0.131, while the best NER model achieved an F1-Score of 0.812. This study demonstrates that IndoBERT is effective for analyzing digital banking application reviews in identifying ECM factors and extracting domain-specific entities, thereby offering potential support for developers in automatically understanding user needs.
Analisis Komparatif Embedding Semantik Berbasis Large Language Model Pada Sistem Rekomendasi Buku Serendipitous di Perpustakaan Kampus Rahayu Kartika Sari; Eka Dyar Wahyuni; Amalia Anjani Arifiyanti
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.v5i2.443

Abstract

The phenomenon of information overload in academic libraries often makes it difficult for users to discover relevant books, which may reduce reading interest. Conventional recommender systems are also prone to filter bubbles and tend to perform poorly under cold-start conditions. This study proposes a sequential recommendation system based on the Self-Attention Based Sequential Recommendation (SASRec) model integrated with five semantic embedding models, namely Word2Vec, BERT Multilingual, OpenAI text-embedding-3-small, Gemini-embedding-001, and Qwen3-Embedding-0.6B, to generate accurate and serendipitous recommendations. In addition, the Serendipity-Oriented Greedy (SOG) re-ranking algorithm is implemented to balance recommendation relevance and serendipity. The data set consists of 14,502 book records and 5,445 user interaction histories after the data cleaning process. Evaluation was conducted under three testing scenarios, namely the all-test set, warm test set, and cold test set, by comparing all model variants before and after the re-ranking process. The results show that the integration of Large Language Model (LLM)-based embeddings consistently improves performance compared to the standard SASRec model and traditional embeddings. Qwen3-Embedding-0.6B achieved the best performance, improving HitRate@10 by up to 282.9% and NDCG@10 by up to 387.8%, while maintaining semantic robustness in cold-start scenarios with an UnSerendipity@K score of 0.613. The implementation of SOG re-ranking reveals a direct trade-off between recommendation accuracy and diversity. Lightweight weighting provides the optimal balance, whereas overly aggressive weighting significantly reduces relevance. The main contribution of this study lies in integrating modern LLM embeddings into a sequential recommendation architecture to improve accuracy and cold-start robustness, while also evaluating the impact of serendipity-oriented re-ranking strategies on balancing recommendation relevance and diversity. Overall, this study demonstrates that modern LLM integration can produce a smarter, more adaptive, and more balanced library recommendation system in terms of both accuracy and serendipity.
Co-Authors Abdul Rezha Efrat Najaf Adam Rachman, Muhammad Adelia Putri, Ledina Adha, Didan Rizky Adimas Syiraa Setiabudhi Agung Brastama Putra Agussalim, Agussalim Agussalim, Agussalim Ahmad Galih Nur Jati Aji, Dwi rachmat Akira Permata Ramadhani alathoillah, abdul hanif Allendra Donny Irawan Amalia Anjani Arifiyanti Anastasya Nurhaliza, Zabina Anatasya, A Edet Fauri Andhika Rizky Aulia Anisa Rahma Salsabila Anjani, Amalia Apriandi, Dwatra Arfianto, Ricky Arief Yahya Prasetio Ariyana, Denny Arsya Amalia Ristias AryaRafa, Daud Asif Faroqi Asriana, Rina Atmaja, Ferdy Aulia, Ervina Rosa Bella Trinanda Sanni Bhagas Satrya Dewa Cahyo Wibowo, Nur Candra, Devilia Dwi Dayu Renita Deswita Rini, Ni Made Berliana Devilia Dwi Candra Dharmawan, Ega Dhian Satria Yudha Kartika Dian Rahmawati Dian Rahmawati Eka Wahyudinarti Eka Wahyudinarti Eklesia Simaremare Ervina Rosa Aulia Fadiyah Dhara Al Arsya Fariz Febriany, Asri Kinanti Firdaus, Renanda Auzan Haidar Triari Respati harby, muhamad faiz Hayaza, QONITA Hilman Habib Habibi, Muhammad Hukama’ Nur Romadlon Icha Sinaga Imam Hanafi Irawan, Allendra Donny Izzuddin, Muhammad Jihan Hasna Iftinan Kusumantara, Prisa Marga Kusumantara, Prisa Marga Kusumantara, Prisa Marga Laksono, Cindy Fitri Lina Wardani Lumintang, Qolbi Adi Marga Kusumantara, Prisa Mas'udah, Erica Mashita Kustyani Maulana Arrasyid, Nizar Maulana, Ribas Satria Mochammad Nabil Nugraha Ramadhan Mohamad Irwan Afandi Muh. Ahlun Nazar Muhammad Farhan Najaf, Abdul Rezha Efrant Najma Choirun Nisa Nendra Wono, Lasmargo Ni Made Berliana Deswita Rini Nur Fadlilah, Imamah Nur Jati, Ahmad Galih Oktaviarini, kamilia nabila Peratasari, Reisa Permatasari, Reisa Prabowo, Dimas Agung Prabowo Prasetyo, Bagus Rizky PUSPITASARI, DIANITA Putri Andini Rachmatika Putri Andini Rachmatika Qolbi Adi Lumintang Rachman Esa Masthury Budoyo Rahayu Kartika Sari Ramdhan Ariansyah Reisa Permatasari Respati, Haidar Triari Ridwandono, Doddy Ristias, Arsya Amalia Rizka Hadiwiyanti Rulyawan, Muhammad Rizky Abiwafa Rumonang, Datu Sadli, Adi Safitri Pradhistya Suwandi Salma, Marylda Sanni, Bella Trinanda Sari, Reisa Permata Satria Yuda Kartika, Dhian Seftin Fitri Ana Wati Sembilu, Nambi Sugiarto Tri Luhur Indayanti Sugata Tri Luhur Indayanti Sugata Viviana Purba Wajendra Dewi, Marylda Salma Wardani, Lina Wati, Seftin Fitri Ana Wibowo, Nur Cahyo Wicaksono, Yeni Widiastuti, Diajeng Putri Windy Fadhilah Susanti Wulansari, Anita Yasmine Shalsabilla, Syafierra Yessy Arye Yustraini Yuniar, Sella Zahrah Hayat Arka Putri