Profiling Alumni Program Studi Sarjana Statistika ITS Berdasarkan Tracer Study Menggunakan Analisis Korespondensi

Febrianti, Nike Indah (2026) Profiling Alumni Program Studi Sarjana Statistika ITS Berdasarkan Tracer Study Menggunakan Analisis Korespondensi. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tracer study merupakan instrumen evaluasi yang digunakan untuk melacak dan mengumpulkan informasi mengenai kondisi dan profil alumni setelah menyelesaikan pendidikan tinggi. Hingga saat ini belum terdapat kajian tracer study yang secara khusus dilakukan pada alumni Program Studi Sarjana Statistika Institut Teknologi Sepuluh Nopember (ITS), sehingga penelitian ini bertujuan untuk mengidentifikasi karakteristik serta hubungan antar variabel pada profil alumni angkatan 2015–2021. Data yang digunakan merupakan data primer yang diperoleh melalui survei yang disebarkan melalui kuesioner Google Form dengan 26 variabel yang mencakup aspek sosial demografis, riwayat pendidikan, profil pekerjaan, dan alumni engagement, dengan 417 responden dari total 1006 alumni (effective response rate 41,45%). Metode analisis yang digunakan meliputi analisis deskriptif, uji independensi, dan analisis korespondensi untuk memetakan kedekatan antar kategori variabel. Hasil analisis menunjukkan bahwa mayoritas alumni sudah bekerja dengan sebagian kecil lanjut studi atau memiliki wirausaha. Tingkat partisipasi alumni engagement secara umum masih rendah. Hasil uji independensi dari 261 kombinasi variabel menghasilkan 108 pasangan signifikan, dengan 7 pasangan terbaik untuk analisis korespondensi. Hasil analisis menunjukkan bahwa jenis kelamin cenderung berasosiasi dengan jabatan kerja, alumni dengan nilai IPK cenderung melanjutkan studi dan IPK rendah cenderung berwirausaha, bidang pekerjaan berasosiasi dengan jenis perusahaan, alumni yang lebih muda cenderung lebih aktif dalam volunteer, angkatan yang lebih baru lebih aktif dalam event, alumni yang lanjut studi lebih berminat dalam publication, serta keaktifan mentoring berasosiasi dengan keaktifan publication. Hasil penelitian ini diharapkan dapat dimanfaatkan sebagai informasi pendukung bagi program studi dalam memahami profil alumni serta memperkuat pengelolaan hubungan alumni secara berkelanjutan.
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A tracer study is an evaluation tool used to track and collect information regarding the status and profiles of alumni after they complete their higher education. To date, no tracer study has been specifically conducted on alumni of the Statistics Undergraduate Program at the Sepuluh Nopember Institute of Technology (ITS); therefore, this study aims to identify the characteristics and relationships among variables in the profiles of alumni from the 2015–2021 cohorts. The data used consists of primary data obtained through a survey distributed via a Google Form questionnaire with 26 variables covering sociodemographic aspects, educational history, employment profiles, and alumni engagement, with 417 respondents out of a total of 1,006 alumni (effective response rate: 41.45%). The analytical methods employed included descriptive analysis, independence tests, and correspondence analysis to map the relationships among variable categories. The analysis results indicate that the majority of alumni are employed, with a small portion continuing their studies or running their own businesses. The level of alumni engagement remains generally low. The results of the independence test of 261 variable combinations yielded 108 significant pairs, with the 7 best pairs selected for correspondence analysis. The results of the analysis show that gender tends to be associated with job position; alumni with higher GPAs tend to pursue further studies, while those with lower GPAs tend to become entrepreneurs; field of work is associated with company type; younger alumni tend to be more active in volunteer work; more recent graduating classes are more active in events; alumni who pursue further studies are more interested in publishing; and mentoring activity is associated with publishing activity. It is hoped that the results of this study can be used as supporting information for academic programs to better understand alumni profiles and strengthen the sustainable management of alumni relations.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Alumni, Analisis Korespondensi, Tracer Study, Corresspondence Analysis, Graduates, Tracer Study
Subjects:	Q Science Q Science > QA Mathematics Q Science > QA Mathematics > QA278.5 Principal components analysis. Factor analysis. Correspondence analysis (Statistics) Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics)
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Nike Indah Febrianti
Date Deposited:	03 Aug 2026 06:58
Last Modified:	03 Aug 2026 06:58
URI:	http://repository.its.ac.id/id/eprint/138946

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