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All Journal Jurnal ULTIMATICS International Journal Of Science, Technology & Management (IJSTM) Prosiding Konferensi Nasional PKM-CSR The Indonesian Journal of Computer Science
Raymond Oetama
Universitas Multimedia Nusantara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Nursing Public Health Social Sciences Transportation

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Journal : The Indonesian Journal of Computer Science

 1 
Refining Web-Based Job Search through Goal-Directed Design Improvement I Gusti Agung Ayu Made Bidari Bening Buana; Raymond Oetama
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): Indonesian Journal of Computer Science (IJCS) Volume 12 No. 4 (2023)
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 Jansi Kamasi Ramantha Romersono; Raymond Oetama
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): Indonesian Journal of Computer Science (IJCS) Volume 12 Number 5 (2023)
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 Raymond Oetama
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): 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 Raymond Oetama
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): 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 Friska Natalia I Gusti Agung Ayu Made Bidari Bening Buana Jansi Kamasi Ramantha Romersono Mayang Andila Michael Saputra Suryono Ririn Ikana Desanti Wella Wella Wira Munggana