PENGUATAN KEMAMPUAN ANALISIS DATA PENELITIAN MAHASISWA MELALUI PELATIHAN STATA BERBASIS DATA PANEL
DOI:
https://doi.org/10.51158/w064rs85Keywords:
Analisis Data, Keterampilan Penelitian, Mahasiswa, Pelatihan, STATAAbstract
Keterampilan analisis data merupakan kompetensi penting bagi mahasiswa ekonomi, namun pemahaman teoritis yang dimiliki belum selalu diikuti kemampuan praktis dalam mengolah dan menganalisis data penelitian. Kondisi awal mahasiswa Program Studi Ekonomi Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Negeri Makassar menunjukkan masih adanya keraguan dalam memahami konsep dasar analisis data penelitian ekonomi. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman dan keterampilan mahasiswa dalam melakukan analisis data panel menggunakan STATA. Kegiatan dilaksanakan pada 4-6 Juni 2026 dengan melibatkan 18 mahasiswa melalui tahapan sosialisasi, pendaftaran, pre-test, tutorial dan praktik langsung, pendampingan one-on-one, serta post-test. Materi meliputi analisis data panel statis menggunakan Pooled Least Squares (Pooled OLS), Fixed Effects Model (FEM), dan Random Effects Model (REM), serta analisis panel dinamis menggunakan Difference-GMM (Diff-GMM) dan System-GMM (Sys-GMM). Hasil evaluasi menunjukkan peningkatan capaian pembelajaran, ditandai dengan kenaikan rata-rata skor dari 11,30 pada pre-test menjadi 13,83 pada post-test, atau meningkat sebesar 22,4%. Pendampingan individual juga membantu peserta mengatasi kendala teknis, khususnya dalam penyusunan Do-file dan penggunaan sintaks STATA. Kegiatan ini berimplikasi pada penguatan literasi data dan keterampilan penelitian mahasiswa serta dapat dikembangkan menjadi program pendampingan analisis data yang berkelanjutan untuk mendukung penyusunan tugas akhir dan penelitian mahasiswa.
Abstract
Data analysis skills are increasingly important for economics students; however, theoretical knowledge is not always accompanied by practical competence in managing and analyzing research data. An initial assessment of students in the Development Economics Study Program, Faculty of Economics and Business, Universitas Negeri Makassar, indicated considerable uncertainty regarding the basic concepts of economic research data analysis. This community engagement program aimed to improve students’ knowledge and practical skills in conducting panel data analysis using STATA. The program was conducted from June 4 to 6, 2026, involving 18 students through a series of activities comprising socialization, registration, a pre-test, tutorials and hands-on practice, one-on-one mentoring, and a post-test. The training covered static panel data analysis using Pooled Least Squares (Pooled OLS), Fixed Effects Model (FEM), and Random Effects Model (REM), as well as dynamic panel data analysis using Difference Generalized Method of Moments (Diff-GMM) and System Generalized Method of Moments (Sys-GMM). The evaluation results demonstrated an improvement in participants’ learning outcomes, with the mean score increasing from 11.30 in the pre-test to 13.83 in the post-test, representing a 22.4% increase. Individual mentoring also assisted participants in addressing technical challenges, particularly in developing Do-files and applying STATA syntax. The program therefore contributed to strengthening students’ data literacy and research skills and provides a basis for developing sustainable data analysis mentoring programs to support students’ research and final projects.
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