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Web-Based Tracer Study Information System Development Using Rapid Application Development for Alumni Data Management in FMIPA UNSRAT Timothy Salomo Van Dijken Boediman; Chriestie Ellyane Juliet Clara Montolalu; Dodisutarma Lapihu; Mahardika Inra Takaendengan; Mans Lumiu Mananohas; Rillya Arundaa
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.305

Abstract

Tracer studies are essential tools for evaluating the relevance and quality of higher education curricula, as they facilitate the tracking of alumni career outcomes. However, the conventional utilization of Google Forms for data collection in the Information Systems Study Program at FMIPA UNSRAT has led to fragmented and inefficient alumni data management. The objective of this research is to develop a web-based tracer study information system to enhance the efficiency and accuracy of alumni data management. The system's development employed the Rapid Application Development (RAD) method, which prioritizes iterative prototyping and active stakeholder involvement. The research process entailed a multifaceted approach, encompassing a needs analysis, system design, implementation, and black-box testing to ensure system reliability. The resulting web-based system enables alumni to complete dynamic questionnaires according to their employment status, while administrators can efficiently manage and visualize alumni data through interactive dashboards. The system's structured data collection and visualization features support program evaluation and accreditation processes. Preliminary testing results indicate that the system functions as intended and significantly enhances the management and utilization of alumni data. The present study demonstrates that the integration of RAD and web-based technology provides a practical solution for tracer study implementation in higher education institutions.
Design of Android-Based Food Ordering Information System at RM. Solideo Kuliner Kevin Jeremi Pesik; Chriestie Ellyane Juliet Clara Montolalu; Wisard Widsli Kalengkongan; Dodisutarma Lapihu; Christian Alderi Jeffta Soewoeh; Yohanes Andreas Robert Langi; Mahardika Inra Takaendengan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.308

Abstract

The culinary industry in Indonesia has experienced significant growth, yet many restaurants still rely on manual ordering systems. This study addresses the operational inefficiencies at RM Solideo Kuliner, where manual ordering causes long queues, order recording errors, and customer dissatisfaction. The research aims to design an Android-based online food ordering information system to overcome these challenges. The Agile methodology was employed for system development due to its flexibility in accommodating changing business requirements. Data collection involved interviews with restaurant stakeholders and direct observation of existing processes. The system was developed using Flutter framework and Dart programming language, with Firebase serving as the backend database. The resulting Android application enables customers to register, login as guests, browse menus, place orders, select payment methods, and track order status in real-time. Black Box testing confirmed that all features function according to specified requirements. Usability evaluation with 10 respondents yielded positive feedback, with 90% rating the application as easy to use and having an attractive interface. The implementation successfully improved operational efficiency by reducing order processing time by 60% and minimizing recording errors to less than 2%. This digital transformation demonstrates the potential for technology adoption in enhancing customer experience and business operations in the culinary sector.
Web-Based Healthcare Service System Development Using RAD Method for Community Health Center Efficiency Improvement Nathanael Eliasher Iroth; Chriestie Ellyane Juliet Clara Montolalu; Mahardika Inra Takaendengan; Yohanes Andreas Robert Langi; Wisard Widsli Kalengkongan; Dodisutarma Lapihu
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2026): Volume 7 Number 1 March 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v7i1.1606

Abstract

This research aims to design and develop a healthcare service website for Puskesmas Modoinding to improve efficiency and accessibility of public health services. Previously, information delivery including doctor schedules, service types, operating hours, and patient registration was conducted manually, often causing delays and limited information distribution. The system was developed using the Rapid Application Development (RAD) method, comprising four phases: requirements planning, system design, development, and implementation. Data collection employed interviews, observation, and literature study with 12 stakeholders (10 patients, 2 administrators). The website was built using HTML, CSS, JavaScript, PHP, and MySQL database. Black Box Testing demonstrated 100% success rate across 28 test scenarios covering admin and patient interfaces. System Usability Scale (SUS) evaluation yielded average scores of 85.5 for patients and 87.5 for administrators, both exceeding the 'Very Good' threshold of 80. Ten core features were successfully implemented including online registration, queue status checking, and administrative data management. The developed website enables community members to access healthcare information remotely without physical visits, reducing average registration time by approximately 40%. This research concludes that web-based healthcare systems using RAD methodology can significantly improve service efficiency at community health centers while meeting user requirements and usability standards.
Web-Based Guest Lecture Information System for Committee and Student Users at FMIPA UNSRAT Andrea Emailly Sumakul; Chriestie Ellyane Juliet Clara Montolalu; Mahardika Inra Takaendengan; Benny Pinontoan; Wisard Widsli Kalengkongan; Dodisutarma Lapihu
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 2 (2026): Volume 7 Number 2 June 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v7i2.1608

Abstract

Guest lecture management at FMIPA UNSRAT currently suffers from significant fragmentation across WhatsApp, Google Forms, and paper attendance, leading to data duplication, information inconsistencies, and administrative inefficiency. This condition hinders effective decision-making and stakeholder engagement. This study aims to design and develop a centralized Web-Based Guest Lecture Information System to integrate the entire event lifecycle, including publication, registration, digital attendance, and reporting. The system was developed using the Waterfall model with Laravel framework and MySQL database. Comprehensive evaluation involved Black Box Testing, User Acceptance Testing (UAT) with committee members, and User Perception Testing with students. Results indicate a 100% success rate in Black Box Testing across 42 functional scenarios. UAT yielded a 90.4% acceptance rate among committee members, validating operational feasibility and workflow alignment. Furthermore, User Perception Testing achieved a 91.04% satisfaction score among students, with Behavioral Intention reaching 93.6%. These findings demonstrate that the system significantly reduces data fragmentation and improves administrative efficiency compared to manual processes. The system is deemed feasible for immediate deployment, offering a robust solution for centralized academic event management. However, limitations exist regarding financial module integration. Future work should focus on API integration with the central university portal and automated honorarium processing to further enhance scalability and institutional adoption.
Web-Based Fuzzy Mamdani System for Adaptive Cost of Production in Culinary MSMEs Fallan Switly Fransisco Parengkuan; Chriestie Ellyane Juliet Clara Montolalu; Mahardika Inra Takaendengan
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 4 No. 3 (2026): Volume 4 Number 3 July 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v4i3.352

Abstract

Culinary micro, small, and medium enterprises frequently experience financial instability because conventional deterministic costing methods lack the flexibility to handle daily fluctuations in raw material and overhead expenses. This study develops an adaptive Cost of Production model and generates pricing recommendations using a web-based Fuzzy Mamdani decision support system. The research employs an applied quantitative case study design focusing on a single culinary micro-enterprise operating in a volatile local market. The fuzzy engine processes raw material and overhead uncertainties as linguistic inputs using MIN-MAX inference, while treating direct labor as a constant parameter. Centroid defuzzification calculates the final adaptive cost. The results demonstrate that the conventional deterministic cost was Rp27,077, whereas the Fuzzy Mamdani model adjusted this value to Rp27,532. This 1.68 percent increase functions as a calculated risk premium that protects profit margins against minor supply chain volatilities. The system subsequently generated three margin-based pricing tiers. The standard tier with a 30 percent margin demonstrated a 97.74 percent goodness of fit when compared to actual market prices. The primary contribution is the deployment of a lightweight web artifact that removes the technical barriers associated with desktop-based fuzzy simulations. This tool enables non-technical business owners to transition from heuristic guesswork to transparent, data-driven pricing strategies that inherently buffer against operational cost uncertainty.