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All Journal Jurnal Informatika dan Teknik Elektro Terapan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) JURNAL TEKNOLOGI DAN OPEN SOURCE Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics bit-Tech Journal of Economics, Business, and Government Challenges Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) JATI (Jurnal Mahasiswa Teknik Informatika) International Journal of Advances in Data and Information Systems Jurnal Sistem Informasi dan Sains Teknologi Nusantara Science and Technology Proceedings Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) International Journal of Engineering, Science and Information Technology Jurnal Ilmiah Wahana Pendidikan KLIK: Kajian Ilmiah Informatika dan Komputer JITSI : Jurnal Ilmiah Teknologi Sistem Informasi International Journal Of Computer, Network Security and Information System (IJCONSIST) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Teknik Mesin, Industri, Elektro dan Informatika Biner : Jurnal Ilmiah Informatika dan Komputer Journal of Artificial Intelligence and Digital Business Jurnal Ilmiah Teknik Informatika dan Komunikasi Scientica: Jurnal Ilmiah Sains dan Teknologi Coreid Journal Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Journal of Elektronik Sistem InformasI Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Journal of Emerging Information Systems and Business Intelligence (JEISBI) Journal of Information Technology and its Utilization Jurnal Ilmu Teknologi Informasi Indonesia (JITIFNA) Jurnal Teknik Informatika dan Teknologi Informasi
Permatasari, Reisa
Department Of Information System Department, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
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Rancang Bangun Sistem Reservasi dan Manajemen Lapangan Futsal Berbasis Website (Studi Kasus Alena Soccer) RIZKY ALAMSYAH BIMANTARA; NUR CAHYO WIBOWO; REISA PERMATASARI
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 12 No. 3 (2025): Prosisko Vol. 12 No. 3 November 2025
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/prosisko.v12i3.10909

Abstract

Alena Soccer merupakan penyedia layanan lapangan futsal yang masih mengandalkan sistem pencatatan manual dalam operasionalnya. Hal ini menyebabkan sejumlah permasalahan, seperti terjadinya booking fiktif, kesulitan verifikasi pembayaran transfer, pencatatan data yang tersebar di berbagai tempat, serta kurangnya integrasi data antar layanan yang ditawarkan. Untuk mengatasi permasalahan tersebut, penelitian ini merancang dan membangun sistem informasi reservasi dan manajemen lapangan futsal berbasis website menggunakan framework Laravel dan database MySQL. Metode Waterfall digunakan untuk memastikan pengembangan sistem dilakukan secara bertahap dan terstruktur. Sistem yang dikembangkan memiliki fitur utama seperti reservasi lapangan online dengan pembayaran QRIS melalui Midtrans, manajemen membership dengan sistem tagihan berkala, penyewaan peralatan olahraga, layanan fotografer, fitur Open Mabar untuk berbagi biaya, sistem poin reward, Point of Sale untuk admin, serta dashboard laporan keuangan untuk owner. Berdasarkan hasil pengujian menggunakan metode black-box testing pada 125 skenario, seluruh fitur sistem berjalan sesuai dengan spesifikasi yang ditetapkan dan diterima dengan baik oleh pengelola Alena Soccer.
PENENTUAN PRIORITAS PEMBANGUNAN DESA RENGEL BERBASIS SISTEM PENDUKUNG KEPUTUSAN DENGAN METODE FAHP-WP Izra Noor Zahara Aliya; Rizka Hadiwiyanti; Reisa Permatasari
Journal of Information Technology and Its Utilization Vol 7 No 2 (2024): December 2024
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.7.2.5887

Abstract

Villages play a strategic role in national development, particularly in improving the quality of life and community welfare. Rengel Village, located in Tuban Regency, East Java, holds significant potential for development. However, decision-making in development through the “Musrenbangdes” (village development planning forum) is often hindered by conflicts of interest between neighborhood units (RT and RW) and the lack of an objective system to assess priorities. Therefore, a Decision Support System (DSS) utilizing the Fuzzy Analytic Hierarchy Process (F-AHP) and Weighted Product (WP) methods is needed to prioritize development. F-AHP determines criterion weights based on relative importance and addresses uncertainty in assessments, while WP ranks alternatives based on these weights. This study involves data collection, calculation of criterion weights, alternative development ranking, system development, and deriving conclusions. The results show that the CR value of 0.033 indicates a good level of consistency in comparisons, yielding the following criterion weights: RPJM (0.331), Urgency Level (0.278), Impact and Benefits (0.237), Regulatory Compliance (0.14), and Budget (0.014). Meanwhile, the alternative development ranking results indicate the following priority order: AP41 (1), AP06 (2), AP33 (3), AP49 (4), AP12 (5), AP40 (6), AP13 (7), AP11 (8), AP43 (9), and AP28 (10).
Evaluasi dan Redesign Website Qema Farm Menggunakan Metode User Experience Lifecycle Dwi Shahita; Reisa Permatasari; Nambi Sembilu
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5535

Abstract

This study aims to evaluate and redesign the Qema Farm website, a digital platform operating in the livestock sector and offering investment services through digital media. As user demands have increased, several usability issues have been identified, adversely affecting the overall user experience. An initial evaluation was conducted using the Heuristic Evaluation method, which revealed five usability problems, four categorized as cosmetic issues (severity rating 1) and one as a minor issue (severity rating 2). These findings indicate the need for improvements to enhance user interaction quality. Based on the evaluation results, a redesign process was carried out using the User Experience Lifecycle (UXL) method, encompassing the stages of analysis, design, prototyping, and evaluation. The redesigned interface was then tested through Usability Testing and the System Usability Scale (SUS) involving 6 respondents. Post-redesign evaluation demonstrated a significant improvement in the average usability score, increasing from 2.71 to 4.54 on a 5-point scale, with the highest score observed in the efficiency aspect (4.67). Additionally, the SUS score rose from an average of 57.50, classified as a “D” grade, to an average of 91.25, corresponding to an “A+” grade. These results demonstrate that the application of the UXL method was effective in enhancing both the interface quality and user experience of the Qema Farm website.
Event-Driven Conversational Workflow Architecture for Academic Service Automation Using n8n Bonda Sisephaputra; Reisa Permatasari; Ronggo Alit; Azis Suroni; Rahmat Nugroho Saputra; Fathan Orvala; Dhava Gilang Ramadhan
IJCONSIST JOURNALS Vol 7 No 2 (2026): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v7i2.189

Abstract

The digital transformation of higher education institutions has increased the demand for efficient academic service management systems. However, many existing digital academic service platforms primarily focus on providing online interfaces while the underlying administrative processes remain fragmented and manually coordinated. As a result, academic service requests such as document submissions and information inquiries often lack process transparency and structured workflow management. This study proposes an event-driven conversational workflow architecture for automating academic service processes. The proposed architecture integrates a conversational interface through WhatsApp messaging services, a workflow orchestration engine implemented using the n8n automation platform, and a cloud-based database using Supabase PostgreSQL. The system consists of three main workflows: knowledge base generation, information services using a Retrieval-Augmented Generation (RAG) approach, and document request services with multi-level approval processes. The research adopts the Design Science Research methodology to design and evaluate the proposed system architecture. A prototype system was implemented to demonstrate how academic service requests can be initiated through conversational interfaces and processed through event-driven workflow automation. The evaluation results show that the proposed architecture enables automated workflow orchestration, structured service state management, and improved service transparency.
Pengembangan Website Rekomendasi Film Dan Tv Series Berbasis Mood Menggunakan Metode Scrum Marsyanda Firlyandita; Glenn Aurora Arapenta Surbakti; Reisa Permatasari
Jurnal Ilmu Teknologi Informasi Indonesia Vol. 2 No. 2 (2026): JITIFNA - Juli
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/jitifna.v2i2.1725

Abstract

The rapid growth of the digital entertainment industry has increased user demand for content recommendation platforms that are more personal and relevant. However, most existing streaming platforms rely on watch history and ratings as recommendation parameters, without considering users' current emotional conditions. This research develops FLIX, a mood-based film and TV series recommendation web platform built using React 19, Vite, Tailwind CSS, Express.js, and PostgreSQL via Supabase, integrating TMDB API, GIPHY API, and Gemini AI API. The development process adopts the Scrum framework, carried out through three Sprints covering eleven product backlog items prioritized using the MoSCoW method. Data collection was conducted through literature study and interviews with five respondents. System design includes Use Case Diagram, navigation structure, and Entity Relationship Diagram. System testing was performed using the Black Box Testing method with Postman assistance, and the results show that all developed features function well in accordance with user needs. This research proves that the Scrum method is effective in developing the FLIX platform as a functional mood-based film and TV series recommendation system accessible via the web.
BCA Stock Price Prediction Using Time Series Method With GRU (Gated Recurrent Unit) Rizky Nugraha; Abdul Rezha Efrat Najaf; Reisa Permatasari
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.v8i2.4500

Abstract

Stock price prediction is a crucial component in investment decision-making, enabling investors to plan strategies more accurately and minimize risks. This study applies the Gated Recurrent Unit (GRU) model to predict the stock prices of blue-chip banking companies in Indonesia using data from the period 2019 to 2024. The model utilizes historical stock data to forecast future trends. The results from the first testing scheme, with a data split ratio of 70% / 30%, using GRU units (128,256) with the Adam optimizer, show that the GRU model is the most optimal in terms of prediction, measured by metrics such as MSE, RMSE, and MAPE. This study also proposes a web-based dashboard that visualizes the predicted stock prices and provides decision-support tools for investors. The findings highlight the effectiveness of deep learning in financial forecasting and underscore its potential to enhance investment strategies.
House Price Prediction in Surabaya Using Backpropagation Neural Network Dimas Fajri Pamungkas; Abdul Rezha Efrat Najaf; Reisa Permatasari
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.v8i2.4829

Abstract

This research develops a house price prediction system in Surabaya using the Backpropagation Neural Network (BPNN) method. The dataset was obtained through web scraping of property listings, resulting in 3,435 records with 52 attributes. To improve stability, the target variable (house price) was transformed using natural logarithms. Several neural network architectures were tested, and the best configuration [32, 64, 32] achieved Mean Absolute Error (MAE) of 0.3125, Root Mean Squared Error (RMSE) of 0.4201, R² of 0.7138, and Mean Absolute Percentage Error (MAPE) of 1.46%. A multi-run evaluation of 20 iterations confirmed consistency of results. The model was implemented as a web-based application using Flask, allowing users to predict house prices in real-time. This research shows that BPNN is reliable for property price forecasting and can support decision-making in the housing market.
Design and Development of a Web-Based Booking and Employee Management System Using Agile Methodology Kesya Sakha Nesya Arimawan; Reisa Permatasari; Seftin Fitri Ana Wati
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5223

Abstract

The rapid advancement of information technology has compelled business sectors to undergo digital transformation to enhance competitiveness. April Photo Studio previously relied on manual methods for booking and employee management, resulting in issues such as unrecorded orders, slow response times, and inaccurate scheduling. To address these problems, this study adopted the Agile development methodology to design and build a web-based information system. This methodological approach facilitated an iterative development lifecycle consisting of planning, implementation, testing, and maintenance phases while utilizing the Laravel framework and Model View Controller architecture. The resulting system integrates online booking, digital payments, and shift management features. Results indicate that the system successfully streamlined the booking process, improved data accuracy, and increased transparency in employee management. In conclusion, the implementation of this system enhanced operational effectiveness and established a structured workflow at April Photo Studio.
AGILE DEVELOPMENT OF A PROJECT BASED LEARNING MANAGEMENT APPLICATION: A SCRUM DRIVEN STRATEGY TO ENHANCE EDUCATIONAL OUTCOMES Reisa Permatasari; Bonda Sisephaputra
Jurnal Sistem Informasi dan Sains Teknologi Vol 7, No 2 (2025): Jurnal Sistem Informasi dan Sains Teknologi
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/sistek.v7i2.2401

Abstract

Programming education at the Faculty of Engineering, Surabaya State University, faces challenges including low student engagement, ineffective teaching methods, and difficulties in monitoring progress. This study proposes the adoption of the Scrum methodology to develop a Project-Based Learning Management Application (PBLMA) tailored for programming courses. The Scrum framework, with its iterative sprints and emphasis on collaboration, facilitates the development of a flexible, user-centered application. By integrating sprint retrospectives, the development process ensures continuous improvement, aligning the PBLMA with the dynamic needs of educators and students. Results demonstrate that Scrum enables efficient development, with iterative cycles allowing for rapid adaptation to feedback. The application enhances student engagement and simplifies progress tracking, addressing key educational challenges. This study highlights Scrum’s potential as a robust framework for educational software development, offering insights for future implementations in academic settings
EVALUASI PERFORMA TF-IDF, WORD2VEC, DAN INDOBERT PADA RETRIEVAL BERITA TOPIK ASTA CITA Ayu Lintang Pratiwi; Abdul Rezha Efrat Najaf; Reisa Permatasari
Biner : Jurnal Ilmiah Informatika dan Komputer Vol. 5 No. 2 (2026): Juli
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/biner.v5i2.11549

Abstract

Peningkatan pemberitaan digital mengenai Asta Cita menghasilkan beragamnya informasi, sehingga diperlukan proses retrieval untuk menghasilkan dokumen yang relevan sesuai dengan kebutuhan pencarian. Perbedaan karakteristik model representasi teks TF-IDF, Word2Vec, IndoBERT menjadi dasar dari penelitian ini untuk mengevaluasi dan membandingkan performa dari ketiga model tersebut pada korpus berita Asta Cita. Data yang digunakan berasal dari web scraping dengan jumlah 1338 dokumen berita dan rentang tahun 2024-2026. Data dilakukan  tahapan preprocessing dan diperoleh 1311 dokumen berita. Dokumen direpresentasikan menggunakan TF-IDF, Word2Vec, dan IndoBERT. Penghitungan kemiripan menggunakan metrik cosine similarity. Evaluasi dilakukan dengan lima skenario yaitu, perbandingan model, variasi jenis kueri, variasi panjang kueri, variasi jumlah hasil pencarian, dan variasi ruang pencarian. Evaluasi diukur dengan metrik precision, recall, dan Mean Average Precision (MAP). Hasil evaluasi menunjukkan Word2Vec memperoleh rata-rata MAP tertinggi sebesar 0,859 dibandingkan dengan TF-IDF sebesar 0,682 dan IndoBERT sebesar 0,646. Berdasarkan hasil tersebut, Word2Vec lebih konsisten dibandingkan kedua model lainnya karena unggul pada sebagian besar skenario. Hasil evaluasi tersebut memberikan gambaran mengenai performa masing-masing model representasi teks pada berbagai kondisi retrieval dan dapat menjadi pertimbangan pemilihan model representasi teks untuk pengembangan sistem informasi retrieval.
Co-Authors Abdul Rezha Efrat Najaf Abdul Rezha Efrat Najaf Abdul Rezha Efrat Najaf Agung Brastama Putra Al-Ghiffari, Syafiq Amalia Anjani Arifiyanti Amalia Anjani Arifiyanti Andhika Rizky Aulia Anindo Saka Fitri Anindo Saka Fitri, Anindo Saka Fitri Aqsa Arumdapta, Gemintang Arrasyid, Nizar Maulana Aryo Sulistiono, Wisnu Aulia Putri Fajar Aviolla Terza Damaliana Ayu Lintang Pratiwi Ayu Pangestuti, Roro Azis Suroni Bahri, Elsa Maya Bonda Sisephaputra Bonda Sisephaputra Bonda Sisephaputra Daniar, Ivan Faiz Dea Ananda Refiza Rahma Dhava Gilang Ramadhan Dhian Satria Kartika Yudha Dhian Satria Yudha Kartika Dimas Fajri Pamungkas Dwi Shahita Efrat Abdul Rezha Najaf Fathan Orvala Fathur Rahmansyah Maulana Muhammad Fatzali, Abrila Febriany, Asri Kinanti Fitri Ana Wati, Seftin Ghea Sekar Palupi Glenn Aurora Arapenta Surbakti Gosal, Andika Hakim, Alif Nur Rahman Hanifa, Fatya Hilman Habib Habibi, Muhammad Ivan Faiz Daniar Izra Noor Zahara Aliya Jannah Arum Kemangi, Anisya Khanza Afiatul Kesya Sakha Nesya Arimawan Lavenia, Nur Lickha Manti, Rival Septian Jeflin Margono, Ferdi Puguh Marsyanda Firlyandita Mochamad Suhri Ainur Rifky Muhammad Daffa Muhammad Muharrom Al Haromainy najoan rizki Nur Aini Rakhmawati Perdana, Firman PUSPITASARI, DIANITA Putra, Muhammad Ardiansyah Eka Putrawanto, Daris Irfan Rahmat Nugroho Saputra Ratih Aisyah Rizka Hadiwiyanti RIZKY ALAMSYAH BIMANTARA Rizky Nugraha Ronggo Alit Ronggo Alit Safitri, Eristya Maya Sakti, Ciptagusti Sila Seftin Fitri Ana Wati Sembilu, Nambi Shafira, Putri Dian Sila Sakti, Ciptagusti Trinanda, Fiqi Akbar Wahyuni, Eka Dyar Wati, Seftin Fitri Ana Wibisono, Mahendra Priyo Wibowo, Nur Cahyo Yovan Febriawan Nurpratama Yuniar, Sella