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All Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JurTI (JURNAL TEKNOLOGI INFORMASI)
Muhammad Suyanto
Universitas Amikom Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management

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Prediksi Ketahanan PC Overclocking dengan Menggunakan Regresi Linier Miko Kastomo Putro; Muhammad Suyanto; Eko Pramono
(JurTI) Jurnal Teknologi Informasi Vol 5, No 1 (2021): JUNI 2021
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v5i1.1451

Abstract

Abstract - Overclocking is an activity in which people increase the variables in a computer device. Along with the development of PC technology, several vendors will automatically compete in creating attractive features for vendors to increase the performance of a computer, one of which is the Overclocking feature. If not used carefully, the overclocking feature will cause the computer to experience problems such as sudden shutdown or a severe smell of burning components. Therefore, this research is made so that computer users who take advantage of this feature can be more careful or understand the limits of the capabilities of their components. This study also only focuses on linear regression which is useful for making a prediction that the computer can have high performance without the risk of damaging other components. The results were also quite good where the MSE, RMSE and MAPE error rates were not more than 1.25..Keywords  - Overclocking, Computer, Regresi, MSE, RMSE, MAPE.  Abstrak – Overclocking merupakan kegiatan di mana orang melakukan peningkatan pada variabel didalam sebuah perangkat komputer. Seiring dengan berkembangnya teknologi suatu perangkat PC, maka otomatis beberapa vendor akan bersaing dalam menciptak fitur-fitur yang menarik digunakan untuk para vendor dalam menaikkan peforma dari sebuah komputer tersebut salah satunya adalah fitur Overclocking. Fitur overclocking sendiri jika tidak digunakan secara hati-hati akan membuat komputer tersebut mengalami gangguan seperti mati secara tiba-tiba atau yang parah bisa terjadinya bau kompone terbakar. Maka dari itu, penelitian ini dibuat agar para penguna komputer yang memfaatkan fitur ini bisa lebih hati-hati atau mengerti batas dari kemampuan dari komponen mereka. Penelitian ini juga hanya berfokus pada regresi linear yang berguna untuk membuat sebuah prediksi komputer tersebut bisa memiliki peforma tinggi dengan tidak memiliki resiko merusak komponen lainnya. Hasilnya pun juga cukup baik dimana tingkat eror MSE, RMSE dan MAPE tidak lebih dari 1,25. Kata Kunci – Overclocking, Komputer, Regresi, MSE, RMSE, MAPE.
An Ontology-Driven Adaptive User Interface Framework for Indonesian Student Wellbeing Bhanu Sri Nugraha; Muhammad Suyanto; Kusrini Kusrini; Ema Utami
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.26404

Abstract

Background: The personalization of digital learning environments to support student wellbeing presents a significant challenge due to the need for integrating multi-dimensional contextual factors. Existing adaptive user interface (AUI) approaches often rely on ad-hoc rule-based systems or simpler adaptive mechanisms, lacking the formal semantic grounding required to handle the intricate interdependencies between diverse wellbeing dimensions and corresponding UI adaptations. Objective: This research aimed to design, develop, and formally validate a novel semantic framework for a context-aware AUI specifically tailored to provide a formal foundation for supporting multidimensional student wellbeing factors. Methods: The methodology involved creating a detailed "Context Mapping" table to establish relational scenarios between student contexts, wellbeing factors, and UI adaptations. Subsequently, a Semantic Taxonomy was engineered and implemented as a Web Ontology Language (OWL) model in Protégé. Its relational data retrieval capabilities were demonstrated via the SPARQL Protocol. The principal outcome of this investigation is the formal validation of the ontology using the HermiT reasoner. This study utilized a comprehensive literature review to formulate its context mapping, followed by a formal modeling and validation methodology. Results: Using the HermiT reasoner conclusively determined that the model is both coherent and consistent. The research successfully translated qualitative Indonesian student wellbeing requirements into a formal, computationally tractable semantic framework. Conclusion: The developed semantic framework provides a validated foundation for the deployment of intelligent, context-aware applications designed to enhance Indonesian student wellness in higher education. This research successfully multi-dimensional requirements for a context-aware student wellbeing application into a robust, and scalable framework. 
Co-Authors Bhanu Sri Nugraha Eko Pramono Ema Utami Kusrini Miko Kastomo Putro