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All Journal Sisforma: Journal of Information Systems Journal of Business and Technology
Pamudji, Andre Kurniawan
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Computer Science & IT Education Engineering Library & Information Science Other

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Journal : Sisforma: Journal of Information Systems

 1 
Analysis of Website Vulnerabilities Utilizing OWASP on the Enterpreneurship Locker System Pamudji, Andre Kurniawan; Setiawan, Florentinus Budi
SISFORMA Vol 11, No 2: November 2024
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v11i2.13103

Abstract

The government's restrictions on activities during the Covid-19 pandemic resulted in the closure of numerous activities. This has resulted in the closure of numerous businesses, particularly small and medium-sized enterprises, as a result of a lack of customers. Therefore, a new invention was developed in the field of Entrepreneurial Lockers that enables transactions to be conducted without the need for face-to-face interaction and without the use of cash. This innovation entails the development of a website that serves as a digital ordering and payment system. In order to ensure that users feel secure while using the website, it is imperative to assess the website's data security to prevent the occurrence of any unintended events. The OWASP method is employed in this investigation to assess the security of the IoT-based entrepreneurial storage system in order to identify critical security vulnerabilities. The findings indicate that the system has satisfied numerous security standards; however, it necessitates improvement in the areas of access control, framework updates, and logging. This investigation offers suggestions for enhancing the security of data in IoT-based systems.
Development of an Integrated Accounting Information System with Point of Sale (POS) and Online Booking (Study Case: Coworking Space) Putra, Victorio Almers Chrisetya; Pamudji, Andre Kurniawan; Kartin, Ang Prisilia
SISFORMA Vol 11, No 2: November 2024
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v11i2.12131

Abstract

ABC Coworking Space Company is a service provider offering event space, meeting rooms, private offices, and coworking spaces for professionals. The company faces financial accounting challenges, particularly in recording sales transactions due to the limitations of the free Point of Sales (POS) system used, and complex, error-prone manual accounting processes. This research aims to develop an Accounting Information System (AIS) integrated with POS and online booking using the Rapid Application Development (RAD) method. The results show that the developed system minimizes inaccuracies in transaction recording, speeds up financial report preparation, and improves operational efficiency and customer satisfaction. The implementation of online booking features also successfully enhances the customer experience. With this new system, the company can manage sales, expenses, and financial reports in one integrated platform, significantly improving financial and operational management. Testing through User Acceptance Testing with the Blackbox method and interviews with front desk, finance staff, and customers indicates that the system meets user needs effectively.
Image Processing on Plastic Bottle Reverse Vending Machine to Enhance Community Plastic Waste Management Nugraha, Johanes Arya Pramesta; Sanjaya, Ridwan; Koeswoyo, Freddy; Pamudji, Andre Kurniawan
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13531

Abstract

The problem of plastic waste is being addressed in a variety of ways, ranging from manual waste sorting to reverse vending machines. On the other side, businesses are becoming increasingly concerned about waste management. Several ways to producing reverse vending machines have been tested, including the use of plastic sensors. However, the findings were unsatisfactory due to imprecise detection. This study looks into the use of ESP32-Cam combined with machine learning for high-precision plastic bottle detection in reverse vending machines. It is envisioned that high-precision plastic bottle detection would be used in reverse vending machines. It is intended that by providing an incentive for each identified plastic bottle, people will be motivated to collect plastic bottles and deposit them into reverse vending machines, thereby supporting digital humanities through enhanced waste management practices.
IoT-Based Smart Bin Waste Management System with Real-Time Capacity Monitoring Pamudji, Andre Kurniawan; Chandrawati, T Brenda; Dewi, Stephani Inggrit Swastini
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13753

Abstract

Conventional waste management in Indonesia faces the challenge of inefficiency due to static transportation schedules, causing waste to pile up in crowded locations and becoming a source of environmental problems. This study aims to design and implement a smart trash can system based on the Internet of Things (IoT) as a solution to this problem. This system was developed using the Design and Build approach with the Waterfall model, integrating a Wemos microcontroller, infrared sensors for automatic opening and closing mechanisms, ultrasonic sensors for waste volume monitoring, and a web dashboard for centralized data visualization. The results of the study showed the success of the implementation of a functional prototype, starting from hardware assembly, firmware development on the microcontroller, to the backend system and database. System testing using the Black Box method showed that all main functional scenarios including user detection, automatic closing control, volume measurement, and sending data to the dashboard were 100% successful according to the design. This functional success proves that the developed prototype is a valid and potential solution to realize a more efficient, hygienic, and real-time monitorable waste management system, so that it can support better operational decision making
The Use of SalesMania to Enhance Sales Team Performance and Support Sustainable Development Riyadi, Oktavius Theo Andreas; Pamudji, Andre Kurniawan; Dewi, Stephani Inggrit Swastini
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13562

Abstract

This research focuses on analyzing the role of SalesMania in optimizing the performance of sales distribution teams and supporting sustainable development. The distribution industry plays a significant role in the global economy, with millions of individuals engaged in sales. The complexity and manual nature of sales work can be optimized through digital platforms like SalesMania, making the carbon footprint from distribution activities more efficient. SalesMania offers an integrated solution for scheduling visits, location tracking, real-time reporting, and data analytics. These features help sales teams work more efficiently, improve communication and coordination, and maximize time and resources. The implementation of SalesMania can reduce carbon emissions, fuel usage, and paper consumption by optimizing the use of the latest technology, enabling the platform to help distribution companies achieve sales targets, enhance customer satisfaction, and contribute to environmental conservation. The research results, based on surveys conducted on companies that have used the SalesMania system, show that SalesMania has proven effective in optimizing the performance of sales teams and supporting sustainable development. The implementation of SalesMania can help distribution companies achieve their business goals and contribute to a more sustainable future.
Co-Authors Ardyani, Benedikta Avien Chandrawati, T Brenda Dewi, Stephani Inggrit Swastini Kartin, Ang Prisilia Koeswoyo, Freddy Nugraha, Johanes Arya Pramesta Prasetya, FX. Hendra Putra, Victorio Almers Chrisetya Ridwan Sanjaya Riyadi, Oktavius Theo Andreas Setiawan, Florentinus Budi Widianto, Daniel Prasetya