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Manajemen Layanan Teknologi Informasi pada Domain Service Operation di Perguruan Tinggi yang ada di Indonesia Albert, Brian; Tantono, Calvin; Chainatra, Derick; Halim, Marcello Stevin; Dickson, Nicholas
JDMIS: Journal of Data Mining and Information Systems Vol. 2 No. 1 (2024): February 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v2i1.1613

Abstract

The use of information technology which is increasingly developing in increasing effectiveness, especially at tertiary institutions in Indonesia is very useful. In academics, the use of this technology helps tertiary institutions in dealing with a problem that is in it. But there are several factors to a problem in the use and management of information technology. This can be overcome by implementing an Information Technology Infrastructure Library Version 3 framework. Management is carried out in the service operation domain due to the high constrained focus on that domain. There are differences in each tertiary institution analyzed using this framework. Significant differences in each college with each research method used to create a descriptive. Assessment and recommendations are different techniques for each college in a result of the journal. There is a discovery in determining the answer at each stage of higher education research. The results obtained at each tertiary institution are different for each indicator or process in the service operation.
Kuantifikasi Prioritas Pengembangan Fitur Aplikasi dengan Kerangka Outcome-Driven Innovation: Studi Kasus Aplikasi Pembelajaran Bahasa Asing Kevin Bastian Sirait; Dickson, Nicholas; Romindo, Romindo
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 6 (2025): Desember 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i6.6762

Abstract

This study aims to identify user satisfaction, importance, and development priorities for the English Language Speech Assistant (ELSA) application by integrating Outcome-Driven Innovation (ODI) and sentiment analysis methods. Using reviews collected from the Google Play Store via ScrapeStorm, two sentiment models were applied. Namely, Valance Aware Dictionary and sEntiment Reasoner (VADER) for overall sentiment polarity and Aspect-Based Sentiment Analysis (ABSA) for feature-spesific sentiment extraction. The result show that 86.23% of user reviews express positive sentiments, reflecting high satisfaction with ELSA’s functionality and learning experience. Correlation testing confirms strong validity between VADER and ABSA models (r = 0.98), and moderate alignment with user rating (r  0.55), confirming both construct and external validity. The ODI analysis further identifies Pronunciation as the highest-priority aspect (opportunity = 12.1), followed by Learning (opportunity = 2.6), highlighting key areas for innovation. Other aspects, such as Support and Subscription, show balanced performance with low opportunity values. The integration of ODI and sentiment analysis provide a data-driven framework for product improvement, enabling developers to prioritize enhancements based on user-perceived value. The findings contribute to informed strategic decision-making in the development of digital language-learning applications.