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All Journal Jurnal Teknologi Informatika dan Komputer Jurnal Informatika Teknologi dan Sains (Jinteks)
Kisworo, Marsudi Wahyu
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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ANALISIS MANAJEMEN LAYANAN E-LEARNING PADA PALCOMTECH BATURAJA DENGAN FRAMEWORK ITIL Diana, Rosita; Kisworo, Marsudi Wahyu
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.4933

Abstract

Palcomtech Baturaja is an educational institution that provides e-learning services and faces various challenges in its management to ensure an optimal learning experience for students and teachers. Therefore, this research aims to analyze the management of e-learning services at Palcomtech Baturaja by utilizing the ITIL (Information Technology Infrastructure Library) framework. E-learning is becoming increasingly important in education, especially in today's digital era. However, the success of e-learning implementation often depends on the effectiveness of the service management that supports it. In this context, the ITIL framework offers a structured framework for managing it services well. This research will carry out an in-depth analysis of existing e-learning service management practices at Palcomtech Baturaja, with a focus on the main aspects defined by ITIL, such as service strategy and continuous service improvement. The methodology applied in this research includes a literature review, interviews with related parties, distribution of questionnaires and direct observation of existing e learning systems. It is hoped that the findings of this research will provide valuable insights for Palcomtech Baturaja management to improve the efficiency and effectiveness of their e-learning services by implementing the ITIL framework.
Principal Component Analysis and Bacterial Foraging Optimization for Credit Scoring Arjun, Jennifer; Kisworo, Marsudi Wahyu; Negara, Edi Surya; Ependi, Usman
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 1 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i1.2515

Abstract

Information technology in the current era is developing very quickly. Information systems themselves are found in various aspects of life, such as health, law, education and finance. With the improvement of information systems, systems can be created as considerations for making decisions or agreements. Credit scoring is a status that is usually held by banks or other financial institutions and contains data from debtors who have applied for credit at certain banks or financial institutions. There are many attributes in determining whether someone will get good credit or bad credit status. Therefore, a fast and accurate classification method is needed. This research proposes the use of Principal Component Analysis to reduce several attributes without reducing the attributes that are important or crucial in determining. This research also uses the Bacterial Foraging Optimization algorithm to optimize qualification results on the Support Vector Machine which uses 4 kernels, namely Linear, RBF, Polynomial and Sigmoid. The research results show that the Linear kernel accuracy which only uses Principal Component Analysis gets a value of 79%. Then optimized with Bacterial Foraging Optimization to get an accuracy of 81%. So the Bacterial Foraging Optimization algorithm increases accuracy by 2%. For RBF and Poly kernels, the accuracy is the same, namely 78%. For the Sigmoid kernel, it got the best results in Principal Component Analysis, namely getting an accuracy value of 80%.
Co-Authors Arjun, Jennifer Diana, Rosita Edi Surya Negara Usman Ependi