Fitriyani, Ilma (2026) Analisis Faktor-Faktor Yang Memengaruhi Kesiapan Kerja Alumni Program Studi Sarjana Statistika ITS Menggunakan Partial Least Squares Structural Equation Modeling. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perkembangan dunia kerja yang semakin dinamis dan berbasis data menuntut perguruan tinggi untuk memastikan bahwa lulusan memiliki kriteria atau kesiapan kerja yang dibutuhkan oleh dunia pekerjaan. Kesiapan kerja lulusan merupakan salah satu indikator penting dalam mengevaluasi kesesuaian kurikulum dengan kebutuhan dunia kerja. Penelitian ini memanfaatkan data tracer study alumni Program Studi Sarjana Statistika Institut Teknologi Sepuluh Nopember (ITS) dan menganalisis pengaruh kompetensi teknis, kompetensi non teknis, metode pembelajaran, serta pengalaman kuliah terhadap kesiapan kerja menggunakan metode PLS-SEM. Penelitian secara deskriptif menunjukkan bahwa sebagian besar alumni memiliki kompetensi teknis, kompetensi non teknis, metode pembelajaran, dan kesiapan kerja pada kategori baik hingga tinggi. Kompetensi teknis yang paling menonjol adalah statistika terapan, sedangkan kompetensi non teknis yang memperoleh penilaian tinggi meliputi etika dan integritas, komunikasi, pengambilan keputusan, serta nilai-nilai kebangsaan. Selain itu, pembelajaran berbasis proyek menjadi metode pembelajaran yang memperoleh penilaian tertinggi. Pada empat bidang pengembangan ITS, aspek minat dan bakat memperoleh penilaian tertinggi, sedangkan aspek keilmiahan dan kewirausahaan masih relatif lebih rendah. Hasil analisis SEM-PLS menunjukkan bahwa kompetensi non teknis, metode pembelajaran, dan empat bidang pengembangan ITS berpengaruh signifikan terhadap kesiapan kerja alumni. Kompetensi non teknis merupakan variabel yang memberikan pengaruh terbesar terhadap kesiapan kerja alumni. Model penelitian yang terbentuk mampu menjelaskan sebesar 29,7% variasi kesiapan kerja alumni. Hasil penelitian ini menunjukkan bahwa penguatan kompetensi non teknis, optimalisasi metode pembelajaran, serta pengembangan kegiatan pendukung di luar akademik perlu menjadi perhatian dalam upaya meningkatkan kesiapan kerja lulusan Program Studi Sarjana Statistika ITS.
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The increasingly dynamic and data-driven labor market requires higher education institutions to ensure that graduates possess the competencies and work readiness needed to meet workforce demands. Graduate work readiness is one of the key indicators for evaluating the alignment between the curriculum and labor market needs. This study utilized tracer study data from alumni of the Undergraduate Statistics Program at Institut Teknologi Sepuluh Nopember (ITS) to analyze the effects of technical competencies, non-technical competencies, learning methods, and university experiences on graduates' work readiness using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The descriptive analysis showed that most alumni demonstrated good to high levels of technical competencies, non-technical competencies, learning methods, and work readiness. Applied Statistics was identified as the most prominent technical competency, while Ethics and Integrity, Communication, Decision Making, and National Values received the highest evaluations among the non-technical competencies. In addition, Project-Based Learning was the highest-rated learning method. Among the four areas of ITS student development, Interests and Talents received the highest evaluation, whereas Scientific Activities and Entrepreneurship were rated relatively lower. The PLS-SEM analysis revealed that non-technical competencies, learning methods, and university experiences had a significant effect on alumni work readiness. Among these variables, non-technical competencies exerted the greatest influence on work readiness. The proposed model explained 29.7% of the variance in alumni work readiness. These findings indicate that strengthening non-technical competencies, optimizing learning methods, and enhancing extracurricular development activities should be prioritized to improve the work readiness of graduates from the Undergraduate Statistics Program at ITS.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Kesiapan Kerja, Kompetensi Alumni, Kurikulum, Statistika, Tracer Study,Work Readiness, Alumni Kompetencies, Curricula, Statistics, Tracer Study |
| Subjects: | Q Science > QA Mathematics > QA278.3 Structural equation modeling. Q Science > QA Mathematics > QA278.5 Principal components analysis. Factor analysis. Correspondence analysis (Statistics) |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Ilma Fitriyani |
| Date Deposited: | 05 Aug 2026 02:39 |
| Last Modified: | 05 Aug 2026 02:39 |
| URI: | http://repository.its.ac.id/id/eprint/143004 |
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