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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Informatika Ekonomi Bisnis The Indonesian Journal of Computer Science
Oetama, Raymond
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Analisis Pandangan Milenial tentang Asuransi sebagai Prioritas Keuangan Utama Menggunakan K-Means dan Decision Tree Limanauw, Giany Caroline Theresia; Oetama, Raymond
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1445

Abstract

Millennials, despite being the largest population segment in Indonesia, show little interest in insurance, with only 6-7% having coverage. This raises concerns about their financial preparedness and protection against unforeseen events. Many lack well-thought-out financial plans, focusing on immediate gratification and overlooking risk management, including insurance. This study aims to discover ways to revive millennials' awareness about the importance of insurance in achieving financial stability and well-being. This study employs a questionnaire for data collection and analyzes the data using k-means and decision tree algorithms. Based on the k-means algorithm and decision tree, it was found that many millennials lack insurance coverage. Reasons include lack of understanding, financial constraints, fear of deception, and considering insurance, not a priority. Young adults aged 21-29 showed a better understanding of insurance, but still, a significant portion remains uninsured. These insights can be used to develop educational programs and communication strategies that aim to bridge the awareness gap and increase insurance literacy among millennials
Analysis of Airline Passenger Satisfaction Using Decision Tree and Naïve Bayes Algorithms Suprapto, Devita Sertivia; Oetama, Raymond
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 4 (December 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i4.728

Abstract

In the dynamic landscape of airline services, comprehending the intricacies that mold customer satisfaction is paramount to elevating overall service quality. This study aspires to dissect these pivotal elements, contributing nuanced insights that can propel the enhancement of customer satisfaction within the industry. A multifaceted investigation encompasses analyzing demographic data, exploring underlying factors significantly shaping passenger satisfaction, and identifying the most adept model for forecasting imminent passenger satisfaction outcomes. A model was meticulously crafted by leveraging a decision tree algorithm to discern the substantial variables influencing passenger satisfaction. Simultaneously, the Naïve Bayes algorithm was harnessed to prognosticate forthcoming passenger satisfaction. The findings underscore the diverse facets of the flying experience impacting satisfaction, with both ctree and rpart decision tree algorithms spotlighting critical factors, such as online boarding, inflight entertainment, WiFi service, class, and travel type. The Naïve Bayes algorithm demonstrates around 87% accuracy in predicting passenger satisfaction, underscoring its efficacy in discerning patterns within this complex realm.
Refining Web-Based Job Search through Goal-Directed Design Improvement Buana, I Gusti Agung Ayu Made Bidari Bening; Oetama, Raymond
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3269

Abstract

This study aims to improve a job search web application that not only addressed usability problems but also surpassed user expectations. A recently released job search web application was found to have usability problems during interviews with the Information Technology division. To measure the usability of the application and provide recommendations for improvement, the study uses the Goal-Directed Design framework, Performance Measurement method, and System Usability Scale measurement method. The evaluation was conducted twice, with the first assessment identifying problems and the second evaluation measuring the effectiveness of the recommendations made. The website prototype was developed and passed all test scenarios with an A+ grade. The modifications make important level of effectiveness, achieving an A+ grade with an 85% effectiveness rate. Furthermore, the website received exceptional user satisfaction, with an A+ rating and a score of 85.5 in usability satisfaction.
Evaluation of Resource Optimization and Program Project Management in the ICT Industry using COBIT 5.0 Romersono, Jansi Kamasi Ramantha; Oetama, Raymond
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3414

Abstract

Practical Information Technology Governance will establish efficiency alongside high-quality service within a corporate organization. Its execution must be meticulously strategized to ensure optimal implementation. Nonetheless, internal and external assessments are also imperative. These evaluations are intended to rectify prevailing issues in Information Technology Governance within the organization, enabling the Company's IT systems to function at their peak. Consequently, the necessity for IT Governance is paramount. The research methodology to be employed will make use of the COBIT 5 framework formulated by ISACA. The research objective is to appraise the competence of Information Technology Governance within the organization. The research process will encompass interviews with a representative from the organization, particularly the Human Resource Development supervisor. It facilitates the organization in more readily adhering to the measures recommended by auditors to address any hindrances that may be present in their IT Governance.
Product Bundling Strategy for Office Supplies Retailer through Association Rules Mining: Comparative Study of Apriori and ECLAT Algorithms Oetama, Raymond
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3516

Abstract

Our study aims to develop an effective bundled product promotion strategy for the office supply store to boost sales. The primary challenge is comprehending which product combinations align with customer preferences and cater to their needs. We leverage the Apriori and ECLAT algorithms for consistent rule generation, revealing robust associations between product purchases. Notably, a strong positive correlation rule emerges at a confidence level of 0.8, while at 0.9, no results are found. The identical rules derived from both algorithms signify their reliability. The shop owner employs two rules for bundled products based on a minimum Lift Ratio of 1.96. The first bundle focuses on 70gsm natural paper in Folio and Quarto sizes, capitalizing on their popularity, even though customers may prefer one size. The second bundle emphasizes notebooks, often bought together but in smaller quantities than paper products, reflecting diverse customer needs and behaviors.
Empowering University Students with Cutting-Edge True Wireless Stereo Selection: A Comparative Analysis of Simple Additive Weighting and TOPSIS Algorithms Oetama, Raymond
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3757

Abstract

Currently, there are a lot of Solid-State Drives or SSDs that are running in the market. Each SSD can come with different features and prices from one another. Hence, this can confuse buyers planning to purchase one for their PC or laptop. It also applies to university students who depend on laptops to do college work and run on a limited budget. Any mistake in deciding which SSD to use can be costly. Henceforth, this paper aims to help decide what SSD would be best for an average university student. Two algorithms will determine which SSDs are best for university students to buy. The algorithms used are Simple Additive Weighting and Technique for Order of Preference by Similarity to Ideal Solution. The results of these algorithms are used to show the top three best SSDs for university students. Therefore, university students can make an informed choice based on the results from both algorithms.
Co-Authors Buana, I Gusti Agung Ayu Made Bidari Bening Limanauw, Giany Caroline Theresia Romersono, Jansi Kamasi Ramantha Suprapto, Devita Sertivia