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Supplier Evaluation at Small-Medium Enterprise Using Simple Additive Weighting Raymond Sunardi Oetama; Fernando Jose Armando
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.479

This study focuses on the importance of information systems in today's intensely competitive business landscape. Companies of all sizes rely on information systems to stay afloat, streamline operations, and make informed decisions based on accurate data. To remain competitive, a medium-sized company specializing in vending motorcycle accessories and spare parts faced various challenges, including determining the best supplier for each item. To address this issue, a decision support system was developed using the Simple Additive Weighting technique. This method calculates the weighted sum of performance evaluations for each option based on all qualities. The system underwent user acceptance testing and achieved a flawless success rate of 100%. Overall, this study highlights the crucial role of decision support systems in enabling businesses to make strategic decisions based on accurate and reliable data.

UNVEILING CHURN PREDICTION AT BANK IVORY Raymond Sunardi Oetama
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 3s1 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3s1.3394

The banking industry faces significant challenges in tackling customer churn within its credit card services. Customer churn refers to the situation where customers discontinue using a bank's services and migrate to another financial institution. To proactively address this critical issue, the present research endeavors to predict customer attrition in credit card services. To achieve this goal, the study extensively employs the CRISP-DM framework and diligently compares the performance of two predictive models, namely Gradient Boosting and Random Forest. The research endeavors to identify potential churn customers by analyzing crucial variables, including customer age, marital status, gender, income category, credit limit, and total transactions. The preferred modeling approach, determined based on the lowest misclassification rate, serves as a vital component of the research's analytical process. Remarkably, the research findings unequivocally demonstrate the superior performance of the Gradient Boosting model, which attains a misclassification rate of 0.1118 in predicting customer attrition.Â

Material Requirement Planning Information System: Prototype And Lead Time Analysis Mikhael Billy Tanaga; Raymond Sunardi Oetama
Journal of Information System and Informatics Vol 5 No 3 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i3.535

In the pharmaceutical manufacturing industry, efficient and accurate production processes ensure quality products and meet customer demands. However, many companies still rely on manual systems, such as Microsoft Excel, which can lead to challenges and inefficiencies. The problems identified include a lack of integration between product data and manufacturing documents, error-prone manual data entry, document mix-ups, and time-consuming processes. The study aimed to design and implement a web-based material requirement planning system to address the challenges of a manual manufacturing system in a pharmaceutical company. The objectives were to improve integration, streamline production processes, and reduce lead time for enhanced operational efficiency. The study employed a prototyping approach to design and develop a web-based material requirement planning system. User feedback and requirements guided iterative design cycles, while User Acceptance Testing evaluated system performance and usability. The impact on operational efficiency was assessed by measuring lead time before and after implementation. The implemented web-based material requirement planning system successfully resolved integration issues, reduced manual data entry errors, and minimized document mix-ups within the pharmaceutical manufacturing company. User Acceptance Testing achieved a 100% average percentage. The lead time was improved from 207-251 minutes to 122-159 minutes, demonstrating enhanced operational efficiency.

UNVEILING CHURN PREDICTION AT BANK IVORY Raymond Sunardi Oetama
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 3s1 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3s1.3394

The banking industry faces significant challenges in tackling customer churn within its credit card services. Customer churn refers to the situation where customers discontinue using a bank's services and migrate to another financial institution. To proactively address this critical issue, the present research endeavors to predict customer attrition in credit card services. To achieve this goal, the study extensively employs the CRISP-DM framework and diligently compares the performance of two predictive models, namely Gradient Boosting and Random Forest. The research endeavors to identify potential churn customers by analyzing crucial variables, including customer age, marital status, gender, income category, credit limit, and total transactions. The preferred modeling approach, determined based on the lowest misclassification rate, serves as a vital component of the research's analytical process. Remarkably, the research findings unequivocally demonstrate the superior performance of the Gradient Boosting model, which attains a misclassification rate of 0.1118 in predicting customer attrition.

Sales Information System: A Case Study at an Indonesian Pharmaceutical Manufacturing Bonfilio Wilson Atmadja; Raymond Sunardi Oetama
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.9309

The effective design of information systems plays a crucial role in enhancing productivity and efficiency across various industries, particularly in the business sector. For numerous companies, integrating a comprehensive information system has become indispensable, effectively reducing risks such as human errors, fraud, and data inaccuracies. This study suggests developing a web-based information system specifically optimizing the sales process. The Rapid Application Development methodology has been chosen for system design to achieve this objective. This approach utilizes XAMPP as the web server, Visual Studio Code as the code editor, PHP as the programming language, CodeIgniter as the framework, and MySQL for the database. Implementing this information system offers several advantages for the organization, addressing current issues and enhancing operations. It streamlines the management of sales-related data by automating various processes. Additionally, the system simplifies the generation of crucial documents like sales reports, invoices, component selection, and delivery orders. These reports serve as invaluable resources for analysis and decision-making, empowering the company to plan and develop future business processes efficiently. The data reveals an impressive average user acceptance score of 97.1%, highlighting substantial user satisfaction and endorsement.

ERP Human Resource Management Readiness Framework Integrating Prioritization, Roadmaps, Risk Mitigation, McKinsey 7S Safires Atalla Zaraski; Raymond Sunardi Oetama
ULTIMA InfoSys Vol 17 No 1 (2026): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v17i1.4781

Enterprise Resource Planning (ERP) for Human Resource Management is widely adopted to improve operational efficiency, data accuracy, and decision-making. However, successful implementation depends on organizational readiness. This study assesses ERP readiness using the McKinsey 7S Framework, which evaluates Strategy, Structure, Systems, Style, Staff, Skills, and Shared Values. A mixed-methods approach was employed through questionnaires and interviews. Data were collected from 30 employees using 22 indicators measured on a five-point Likert scale. Validity testing confirmed that all indicators were valid, and the overall Cronbach’s alpha of 0.942 indicated excellent reliability. The readiness assessment showed that all seven dimensions were classified as Ready, with average scores ranging from 4.51 to 4.62. Structure achieved the highest readiness score (4.62), while Skills obtained the lowest score (4.51). Readiness profile analysis further revealed that Strategy achieved the highest profile score (18.23), reflecting strong organizational direction and planning for ERP adoption. Interview findings identified challenges related to manual attendance recording, payroll processing, and fragmented employee data management. The results indicate that the organization is ready for ERP HRM implementation. Recommendations, an implementation roadmap, and risk mitigation strategies are proposed to support successful ERP adoption.

Web-Based Inventory and Sales Information System: Indonesian Micro Small Medium Enterprise Case Study Kevina Angellin; Raymond Sunardi Oetama; Mahfudz Amri
JOINS (Journal of Information System) Vol 8 No 1 (2023): Edisi Mei 2023
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v8i1.7977

Information systems have a very important role in increasing productivity values that provide effectiveness and efficiency in the business sector. Cik Cik MSME Meatshop and Frozenfood is still using a manual system for recording their inventory and sales data, which causes several problems such as human error, human fraud, and inaccurate data. To overcome the problems, a solution is provided, that is a web-based information system, focused on the inventory and sales business processes. The information system is designed using Rapid Application Development method. The tools used are XAMPP as a web server and Visual Studio Code as a code editor. The programming language to be used is PHP, CodeIgniter as a framework, and MySQL as a database storage. The results obtained from the development of this information system are this system can help Cik Cik MSME Meatshop and Frozenfood in overcoming problems related to sales and inventory become easier to manage the data so that it is more automated compared to the previous manual system.

Incorporating rivest-shamir-adleman algorithm and advanced encryption standard in payment gateway system Veronica Veronica; Raymond Sunardi Oetama; Arief Ramadhan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 3: June 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i3.25578

The rapid development of technology has led to various advancements, including the ability to conduct online payments through applications. Companies providing digital transaction payment services require a payment gateway system as an intermediary for online transactions. The system acts as an intermediary between merchants with digital wallets and banks, involving the company, merchants, and banks in its development. The system includes essential features like bill payment, user credit card verification, and transaction checking, customized to meet the specific requirements of merchants and adhere to security standards. In this study, we incorporated the rivest-shamir-adleman (RSA) algorithm and advanced encryption standard (AES) to ensure the security of a payment gateway system. We adopt the agile methodology in the development process of the system. We test the acceptance of the system to the user, and we also test the performance of the system. The results of this research show that the system can be accepted by the user, fulfill the user's needs, can be executed well, and performs adequately in handling multiple transactions concurrently. The outcome of this study can serve as valuable input for the company in building its own system, providing insights into algorithm implementation techniques and the system workflow.

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