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Testing of Thesis Management Application Using STLC Framework and Automation Tools in Physics Study Program UPN “Veteran” Jatim Dewangga Nanda Arjuna; Mohamad Irwan Afandi; Abdul Rezha Efrat Najaf
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.v8i1.4413

Abstract

Thesis administration at the higher education level, such as in the Physics Study Program, still faces challenges due to the absence of an integrated system. To address this issue, a web-based Thesis Management Application was developed to support five main user roles: Students, Lecturers, Thesis Coordinators, Program Coordinators, and Administrators. The system offers a comprehensive set of features including authentication, pre-proposal submission, advisor scheduling, seminar and exam management, publication submission, oral examinations, and final graduation requirements. This study focuses on the Quality Assurance (QA) process using the Scrum methodology and Software Testing Life Cycle (STLC) framework over six sprints conducted within three months. The process began with the mapping of 225 functional requirements on the Front-End and 206 on the Back-End, which were then translated into 1240 test cases derived from various usage scenarios, authorization validations, and interaction flow explorations. Non-functional testing was also conducted at the end of the sixth sprint, covering aspects such as portability, usability, performance, availability, and security. The results show that all system requirements were successfully met, indicating that the application is feasible for supporting a structured thesis administration process.
Web-Based E-Commerce System Design Using RAD Method: A Case Study of PT Muda Jaya Export Robawa, Rizki Setyo Putro; Nur Cahyo Wibowo; Abdul Rezha Efrat Najaf
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.v8i1.4420

Abstract

This study focused on the design and development of a web-based e-commerce information system for PT. Muda Jaya Export by employing the Rapid Application Development (RAD) approach. The company had been experiencing inefficiencies in handling transactions, inventory, and order management due to the reliance on manual tools such as Microsoft Excel and communication via WhatsApp. These outdated methods often led to data inconsistencies and delays in processing operations. To address these challenges, the new system was built to streamline and centralize various business functions, including sales transactions, pre-order handling, safety stock monitoring, and reorder point calculation. The platform featured capabilities such as online product ordering, real-time pre-order tracking, automated safety stock and reorder point computations, and secure payment integration through Midtrans. The system was implemented using modern web technologies, including React.js for the frontend, Express.js for the backend, and PostgreSQL for the database. To ensure functionality and user satisfaction, the system underwent testing through the Blackbox Testing technique as well as User Acceptance Testing (UAT). The testing outcomes demonstrated that the newly developed system significantly enhanced the accuracy and efficiency of the company’s sales and inventory operations. With this integrated solution, PT. Muda Jaya Export was better equipped to manage its business processes, reducing operational errors and delays. Furthermore, the system contributed to improved data reliability and provided valuable support for making informed decisions related to inventory levels and customer orders.
BCA Stock Price Prediction Using Time Series Method With GRU (Gated Recurrent Unit) Nugraha, Rizky; 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 Pamungkas, Dimas Fajri; Najaf, Abdul Rezha Efrat; Permatasari, Reisa
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.
Decision Support System for Extending PT Nitro Pratama Indonesia Outlet Cooperation Using the Fuzzy AHP-TOPSIS Radhyana Gayatri Faradilla; Rizka Hadiwiyanti; Abdul Rezha Efrat Najaf
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.v8i2.4847

Abstract

The increasingly competitive business environment required companies to make objective decisions, particularly in determining the feasibility of outlet contract extensions. PT Nitro Pratama Indonesia previously conducted this process manually, which often led to inconsistent decisions. This study aimed to develop a web-based decision support system to evaluate outlet cooperation systematically. A combination of Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied. Fuzzy AHP was used to determine the weight of criteria under uncertain conditions, while TOPSIS was used to rank alternatives based on their proximity to the ideal solution. The study involved 50 active outlets located in Surabaya and Solo branches. The final criteria weights obtained were Outlet Revenue (0.33), Rental Cost (0.26), Outlet Location (0.16), Accessibility (0.11), Competitiveness (0.08), and Operational Cost (0.06). The ranking process generated objective recommendations that were consistent with manual calculations. Functional testing using Black Box Testing indicated that all system features operated properly. The system proved effective and relevant in supporting accurate and efficient decision-making for outlet contract extensions.
Co-Authors Adiyono, Bagus Dwi Putra Afandi, Mohamad Irwan Agussalim Agussalim Agussalim, Agussalim Agussalim, Agussalim Aisha Ramadhana Indira Santoso AlHafizh, Hadyan Alla, Muhammad Anbiya Fath Amalia Anjani Arifiyanti Amalia Anjani Arifiyanti Ana Wati, Seftin Fitri Anastasia Lidya Maukar Andreas Nugroho Sihananto Anggreani, Nilam Kumallah Anik Vega Vitianingsih Anindo Saka Fitri Apriyanti, Narti Arief Yahya Prasetio Arinta Ardiyono, Taufiq Arochma, Novita Maulana Aryo Sulistiono, Wisnu Asif Faroqi Aulia Putri Fajar Aulia Rahma, Faradhiya Aulia, Ervina Rosa Aviolla Terza Damaliana Badriyyah, Shofiyyatul Bilqis, Thufailah Nafiisah Bonda Sisephaputra Cahyo Wibowo, Nur Candra, Devilia Dwi Chilmi, Farid Daniar, Ivan Faiz Dewangga Nanda Arjuna Dewi, Heni Lusiana Dhian Satria Yudha Kartika Egga Naufal Daffa Tanadi Eka Putri, Siti Oktavia Fais Irwanda Fajar Kurnia Farhana, Farizah Ferdiansyah, Rizky Fitri Ana Wati, Seftin Fitri, Anindo Saka Hamdan, Arva Rizqullah Haq, Ahmad Nashirul Indayanti Sugata, Tri Luhur Iqbal Ramadhani Mukhlis Ivan Faiz Daniar Jannah Arum Kemangi, Anisya Khanza Afiatul Jeremy David Alexander Jojok Dwiridotjahjono Kadek Dwi Natasya Pradnyani Khoirul Tarmidzi M Aldan Adiar Firdaus Manti, Rival Septian Jeflin Maulana, M. Kandias Happy Mawardi, Alfiandi Imam Mohamad Irwan Afandi Muhammad Muharrom Al Haromainy Mustika, Yesi Rahma Nabila, Achmad Wildan Nisrina, Nasywa Nugraha, Rizky Nur Cahyo Wibowo Nurdin, Andi Nuryananda, Praja Firdaus Pamungkas, Dimas Fajri Permatasari, Reisa Purnaningsih, Elwis Ghaitza Putra, Agung Brastama Raden Mohamad Herdian Bhakti Radhyana Gayatri Faradilla Rafli Fahreza Reisa Permatasari Rizka Hadiwiyanti Robawa, Rizki Setyo Putro Rudiany, Novita Putri Saka Fitri, Anindo Sakti, Ciptagusti Sila Salsabilla, Kharisma Agustya Zahra Seftin Fitri Ana Wati Setiawan, Moch Rezeki Shafira, Putri Dian Shofiyyatul Badriyyah Sila Sakti, Ciptagusti Sriyanti, Zilvi Azus Sulastri, Eka Nanda Suryo Widodo Tita Ayu Rospricilia Wahyuni, Eka Dyar Wardani, Lina Wati, Seftin Fitri Ana Wibowo, Nur Cahyo Wulansari, Anita Yudha, Dhian Satria Zein, Isynariyah