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All Journal Profit: Jurnal Manajemen, Bisnis dan Akuntansi Journal of applied statistics and data mining
Sukowati
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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ANALISIS FAKTOR-FAKTOR MODEL PERILAKU TERHADAP KEPUASAN KERJA GURU Sukowati
Profit: Jurnal Manajemen, Bisnis dan Akuntansi Vol. 1 No. 3 (2022): Agustus : Profit : Jurnal Manajemen, Bisnis dan Akuntansi
Publisher : UNIVERSITAS MARITIM AMNI SEMARANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1386.918 KB) | DOI: 10.58192/profit.v1i3.102

Abstract

Computer self-efficacy (CSE) and job satisfaction play an vital role in achieving education’s aims not only in general affairs but also in particular goals both in formal education institutions and teacher’s real life. This research intends to (1) analyze the effect of big five behavior model (extraversion, agreeableness, conscientiousness, neurotisicm, openness to experience) toward computer self-efficacy of teachers in SMA – SMK Wijaya Putra Surabaya, (2) analyze the effect of big five behavior model (extraversion, agreeableness, conscientiousness, neurotisicm, openness to experience) toward teacher’s job satisfaction of teachers in SMA – SMK Wijaya Putra Surabaya. It is highly hoped that the research could be a reference for the schools themselves and the stake holders to manage and improve the teachers.
Implementation of Text Mining for Grouping Thesis Titles Using the K-Harmonic Means Method Sukowati; Lisna Zahrotun
Journal of Applied Statistics and Data Mining Vol. 6 No. 1 (2025): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v6i1.85

Abstract

Background: A thesis is a course required for completing a Bachelor's degree (S-1). Thesis documents are typically collected in a library file. This data will be more useful if subjected to in-depth analysis. One such analysis is identifying trends in student thesis topics using clustering techniques. Objective: To analyze and group thesis titles from the years 2012 to 2017 using text mining techniques, with the aim of identifying topic trends through clustering with the K-Harmonic Means method. Methods: The method used in this study is K-Harmonic Means clustering. The stages carried out include tokenization, filtering, stemming, TF-IDF, grouping using K-Harmonic Means, and testing using purity. Results: The result of this research is an application that can process thesis titles into trend groups of thesis titles. From the test conducted using purity obtained a value of 0.63 which means the K-Harmonic method is quite good in grouping. The results of the analysis show that the topic of Multimedia and soft computing became a trend for 3 years, namely 2012, 2013 and 2014, while the topic of mobile applications and web programming became a trend in 2013 and 2015. Conclusion: The results of grouping using the K-Harmonic Means method show a sufficient accuracy value of 0.63. This proves that the K-Harmonic Means method is quite suitable for carrying out the process of grouping text-based data.
Co-Authors Lisna Zahrotun