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All Journal Jurnal Informatika dan Teknik Elektro Terapan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) 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 COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Artificial Intelligence and Digital Business Jurnal Ilmiah Teknik Informatika dan Komunikasi Scientica: Jurnal Ilmiah Sains dan Teknologi Coreid Journal Journal of Elektronik Sistem InformasI Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Journal of Emerging Information Systems and Business Intelligence (JEISBI)
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 Rekomendasi Produk Skincare Menggunakan Metode Hybrid Collaborative Filtering Berbasis Android Manti, Rival Septian Jeflin; Najaf, Abdul Rezha Efrat; Permatasari, Reisa
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 1 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i1.3122

Abstract

Industri skincare mengalami pertumbuhan signifikan seiring meningkatnya kesadaran masyarakat terhadap kesehatan kulit. Namun, isu over-claim produk dan kurangnya transparansi informasi menimbulkan keraguan konsumen dalam memilih produk yang tepat. Penelitian ini bertujuan untuk merancang sistem rekomendasi produk skincare berbasis Android dengan menerapkan metode Hybrid Collaborative Filtering yang menggabungkan Content-Based Filtering dan Item-Based Collaborative Filtering melalui pendekatan switching. Sistem dikembangkan menggunakan bahasa pemrograman Kotlin, Jetpack Compose, dan Firebase sebagai backend. Proses pengembangan mengikuti metodologi SCRUM dan melibatkan 100 produk skincare dengan data rating serta atribut pengguna yang dikumpulkan melalui scraping dan kuisioner. Pengujian dilakukan dengan evaluasi Mean Absolute Error (MAE) dan Precision, serta Blackbox Testing untuk pengujian fungsional. Hasil menunjukkan metode hybrid ini mampu menghasilkan rekomendasi yang relevan, mengatasi masalah cold-start bagi pengguna baru, dan meningkatkan akurasi rekomendasi seiring bertambahnya data pengguna. Sistem ini mencatat nilai precision sebesar 0,80 untuk metode content-based dan 0,88 untuk collaborative filtering, serta penurunan MAE dari 0,624 menjadi 0,532 dengan peningkatan jumlah user. Temuan ini memperlihatkan bahwa integrasi metode switching hybrid dalam aplikasi mobile dapat menjadi solusi efektif dalam memberikan rekomendasi personal di tengah tantangan pasar skincare digital yang dinamis.
Information System Development for Web-Based Creative Services E-Commerce Using Rapid Application Development Method Adiyono, Bagus Dwi Putra; Najaf, Abdul Rezha Efrat; Permatasari, Reisa
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.v8i1.2615

Abstract

This study aims to design and develop a web-based e-commerce information system for creative services at Cahaya Kreativ using the Rapid Application Development (RAD) method, addressing the company's lack of an integrated digital platform for managing service orders, portfolios, consultations, and online payments. The RAD method was chosen due to its emphasis on speed, prototyping, and close user collaboration—making it more suitable than traditional methods like Waterfall for projects requiring rapid development and ongoing user input in a dynamic service environment. The system was built using React.js for the frontend, Express.js for the backend, PostgreSQL as the database, Tailwind CSS for UI design, and Midtrans integration as a payment gateway. The development process included two iterations covering requirement analysis, system design (use case diagram, sequence diagram, class diagram, ERD), implementation, and testing through Blackbox Testing and User Acceptance Testing (UAT). Results indicate that the system operates according to specifications and has received positive user feedback. It is expected to enhance Cahaya Kreativ’s operational efficiency, expand market reach, and improve the digital experience for customers ordering creative services online, while also supporting streamlined business processes, data consistency, and increased user engagement through responsive and interactive features. Stakeholder involvement throughout the development ensured the system closely matched real business requirements, resulting in a comprehensive digital solution that enhances customer satisfaction and operational performance through technology-driven innovation.
Design and Development of a Digital Travel Authorization System Using Extreme Programming Method Nagari, Ersy Genius; Wati, Seftin Fitri Ana; Permatasari, Reisa
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.v8i1.2623

Abstract

The process of submitting travel authorization letters at SMKN 6 Surabaya was previously carried out manually, leading to issues such as writing errors, miscalculations, and the lack of a digital archiving system. These problems highlighted the necessity for a digital solution to improve the efficiency and accuracy of the process. This study aims to design and develop a web-based travel authorization system using the Extreme Programming (XP) software development method. The XP methodology emphasizes close collaboration with users and rapid iterations throughout the development process. The system was designed with multi-role features, online approval, and digital archiving, enabling a full replacement of the manual process. Testing was conducted using Black-box Testing to verify that the system's functionality worked as expected. Additionally, User Acceptance Testing (UAT) was carried out to assess the design, usability, and efficiency from the user's perspective. The results from the UAT showed an average user satisfaction level of over 80%, indicating that the system was well-received by the users. This indicates that the system is effective in supporting the administrative process for travel authorization at SMKN 6 Surabaya. The implementation of this system is expected to enhance administrative efficiency, reduce human error, and streamline the management and digital archiving of travel documents. Furthermore, by automating the process, the system reduces the time and effort required for manual processing, ultimately improving the overall workflow within the institution.
BISINDO Sign Language Interpreter System Using YOLOv8 and CNN Farhana, Farizah; Abdul Rezha Efrat Najaf; Reisa Permatasari
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.v8i1.2638

Abstract

Many deaf people in Indonesia use sign language as their communication medium, one of which is BISINDO (Bahasa Isyarat Indonesia). However, limited understanding of BISINDO among the general public often becomes a significant barrier to effective communication. To address this, the study aims to develop a BISINDO hand gesture detection system based on computer vision using the YOLOv8 algorithm. The method used is a Convolutional Neural Network (CNN) with the YOLOv8 architecture, trained on a labeled dataset obtained from the Roboflow platform consisting of BISINDO alphabet gestures (A–Z). The system was developed using Python and Streamlit, providing two types of user input: real-time camera feed and manual image upload. Detected gestures are translated into text and converted into speech using the Google Text-to-Speech (gTTS) API. The model was trained over 50 epochs and evaluated using metrics including accuracy, precision, recall, and F1-score. The evaluation results show an accuracy of 89.74%, precision of 89.28%, recall of 96.15%, and F1-score of 92.16%, indicating strong model performance and generalization. Some misclassifications occurred, such as 'R' detected as 'L', and background images mistakenly classified as valid letters. Nonetheless, the system is able to detect and translate BISINDO sign language gestures in semi-realtime with high reliability. This study contributes both practically and theoretically to the field of assistive technologies by providing an accessible, web-based platform for BISINDO recognition, promoting more inclusive communication for the Indonesian deaf community.
AGILE DEVELOPMENT OF A PROJECT BASED LEARNING MANAGEMENT APPLICATION: A SCRUM DRIVEN STRATEGY TO ENHANCE EDUCATIONAL OUTCOMES Permatasari, Reisa; Sisephaputra, Bonda
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
PENERAPAN METODE DESIGN THINKING DALAM PEMBUATAN DESAIN UI/UX APLIKASI HAFALAN AL-QUR’AN Hanifa, Fatya; Permatasari, Reisa; Kartika, Dhian Satria Yudha
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4760

Abstract

Kesadaran dalam menghafal Al-Qur'an tersebar ke semua kalangan yang termasuk Generasi Z. Namun, terdapat educational achievement gap pada generasi z yang tidak mengenyam pendidikan di pondok pesantren yang mendapatkan bimbingan menghafalkan Al-Qur’an. Desain UI/UX aplikasi hafalan Al-Qur’an dirancang sebagai solusi dengan menggunakan Design Thinking sebagai metode perancangan yang terdiri dari empathize, define, ideate, prototype, dan test. Iterasi dilakukan dua kali untuk mendapatkan hasil yang optimal dengan menggunakan pengujian user experience questionnaire (UEQ). Hasil pengujiannya adalah semua ke-enam aspek UEQ berada di atas rata-rata yang menunjukkan desain antarmuka sudah berjalan baik.
PERANCANGAN WEBSITE SISTEM INFORMASI SI-PEGANG MENGGUNAKAN METODE WATERFALL PADA UPT DINAS LINGKUNGAN HIDUP JAWA TIMUR Trinanda, Fiqi Akbar; Wibowo, Nur Cahyo; Permatasari, Reisa
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.6004

Abstract

Proses pengajuan magang pada UPT Dinas Lingkungan Hidup Provinsi Jawa Timur saat ini masih menggunakan cara konvensional, sehingga proses pengajuan berjalan tidak efektif dan terdapat kemungkinan dapat kehilangan dokumen magang. Tujuan dari penelitian ini yaitu merancang dan membangun sistem informasi SI-PEGANG berbasis website dengan studi kasus UPT Dinas Lingkungan Hidup Provinsi Jawa Timur supaya dapat mempermudah proses pengajuan dan pengelolaan magang berjalan secara efektif dan efisien. Metode pengembangan untuk sistem ini menggunakan metode waterfall. Tahap testing menggunakan metode black box testing dan semua fitur dapat berjalan lancar. Hasil dari perancangan website Sistem Informasi SI-PEGANG pada UPT Dinas Lingkungan Hidup Provinsi Jawa Timur menghasilkan 5 fitur yaitu: pengajuan magang, logbook, absensi, laporan magang, dan cetak e-sertifikat.
Rancang Bangun Sistem Rekomendasi Produk Skincare Menggunakan Metode Hybrid Collaborative Filtering Berbasis Android Manti, Rival Septian Jeflin; Najaf, Abdul Rezha Efrat; Permatasari, Reisa
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 1 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i1.3122

Abstract

Industri skincare mengalami pertumbuhan signifikan seiring meningkatnya kesadaran masyarakat terhadap kesehatan kulit. Namun, isu over-claim produk dan kurangnya transparansi informasi menimbulkan keraguan konsumen dalam memilih produk yang tepat. Penelitian ini bertujuan untuk merancang sistem rekomendasi produk skincare berbasis Android dengan menerapkan metode Hybrid Collaborative Filtering yang menggabungkan Content-Based Filtering dan Item-Based Collaborative Filtering melalui pendekatan switching. Sistem dikembangkan menggunakan bahasa pemrograman Kotlin, Jetpack Compose, dan Firebase sebagai backend. Proses pengembangan mengikuti metodologi SCRUM dan melibatkan 100 produk skincare dengan data rating serta atribut pengguna yang dikumpulkan melalui scraping dan kuisioner. Pengujian dilakukan dengan evaluasi Mean Absolute Error (MAE) dan Precision, serta Blackbox Testing untuk pengujian fungsional. Hasil menunjukkan metode hybrid ini mampu menghasilkan rekomendasi yang relevan, mengatasi masalah cold-start bagi pengguna baru, dan meningkatkan akurasi rekomendasi seiring bertambahnya data pengguna. Sistem ini mencatat nilai precision sebesar 0,80 untuk metode content-based dan 0,88 untuk collaborative filtering, serta penurunan MAE dari 0,624 menjadi 0,532 dengan peningkatan jumlah user. Temuan ini memperlihatkan bahwa integrasi metode switching hybrid dalam aplikasi mobile dapat menjadi solusi efektif dalam memberikan rekomendasi personal di tengah tantangan pasar skincare digital yang dinamis.
IMPLEMENTASI ENSEMBLE LEARNING UNTUK ANALISIS SENTIMEN PADA APLIKASI REKU Ratih Aisyah; Reisa Permatasari; Dhian Satria Kartika Yudha
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 10 No 2 (2025): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v10i2.57448

Abstract

Analisis sentimen pada ulasan aplikasi keuangan menghadapi tantangan utama berupa kompleksitas bahasa pengguna, seperti penggunaan istilah teknis, gaya bahasa informal, serta keberagaman konteks yang sering kali sulit ditangkap oleh model klasifikasi konvensional. Untuk menjawab tantangan tersebut, penelitian ini bertujuan secara eksplisit untuk membandingkan performa model tunggal Convolutional Neural Network (CNN), Support Vector Machine (SVM) berbasis Word2Vec, dan model transformer IndoBERT dengan metode ensemble learning guna meningkatkan akurasi analisis sentimen pada aplikasi Reku. Popularitas cryptocurrency di Indonesia yang terus meningkat menjadikan analisis sentimen sebagai alat penting untuk memahami opini dan tingkat kepuasan pengguna terhadap platform seperti Reku. Dalam penelitian ini, pendekatan ensemble learning diterapkan dengan mengombinasikan ketiga model tersebut menggunakan metode soft voting dan weighted soft voting. Evaluasi performa dilakukan menggunakan metrik akurasi, presisi, recall, dan F1-score untuk menilai efektivitas penggabungan model dibandingkan model tunggal. Hasil eksperimen menunjukkan bahwa metode ensemble, khususnya weighted soft voting, menghasilkan performa terbaik dengan akurasi mencapai 90,2%, melampaui seluruh model tunggal. Sebagai bentuk implementasi, model terbaik dibangun ke dalam aplikasi berbasis web menggunakan Streamlit sebagai alat bantu untuk menganalisis opini pengguna terhadap aplikasi Reku secara praktis dan interaktif.
Co-Authors Abdul Rezha Efrat Najaf Adiyono, Bagus Dwi Putra Al-Ghiffari, Syafiq Amalia Anjani Arifiyanti Anindo Saka Fitri Aqsa Arumdapta, Gemintang Arrasyid, Nizar Maulana Aryo Sulistiono, Wisnu Aulia Putri Fajar Aviolla Terza Damaliana Ayu Pangestuti, Roro Bahri, Elsa Maya Bonda Sisephaputra Bonda Sisephaputra Daniar, Ivan Faiz Dhian Satria Kartika Yudha Dhian Satria Yudha Kartika Farhana, Farizah Fatzali, Abrila Febriany, Asri Kinanti Fitri Ana Wati, Seftin Ghea Sekar Palupi Gosal, Andika Hakim, Alif Nur Rahman Hanifa, Fatya Hilman Habib Habibi, Muhammad Jannah Arum Kemangi, Anisya Khanza Afiatul Lavenia, Nur Lickha Manti, Rival Septian Jeflin Mochamad Suhri Ainur Rifky Muhammad Daffa Muhammad Muharrom Al Haromainy Nagari, Ersy Genius Nur Aini Rakhmawati Perdana, Firman PUSPITASARI, DIANITA Putra, Agung Brastama Putra, Muhammad Ardiansyah Eka Putrawanto, Daris Irfan Ratih Aisyah Ronggo Alit Safitri, Eristya Maya Sakti, Ciptagusti Sila 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