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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.

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