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Article . 2020
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Atribut pemimpin ideal dan keputusan partisipasi: Studi ulayat dan analisis pohon keputusan

Authors: Tabah Aris Nurjaman;

Atribut pemimpin ideal dan keputusan partisipasi: Studi ulayat dan analisis pohon keputusan

Abstract

Penelitian ini bertujuan untuk mengeksplorasi atribut pemimpin ideal dan memprediksi keputusan partisipasi (mencoblos/golput) pada Pemilihan Presiden (Pilpres) 2019 berdasarkan atribut pemimpin ideal, jenis kelamin, tingkat kepercayaan, dan pemrosesan informasi. Tahap eksplorasi atribut pemimpin ideal dilakukan dengan menggunakan pendekatan psikologi ulayat. Tahap prediksi keputusan partisipasi (mencoblos/golput) dilakukan dengan implementasi machine learning model pohon keputusan. Pengambilan data dilakukan dalam satu waktu dengan melibatkan 211 responden (53 pria, 158 wanita; Musia = 20.09; SD = 1.81). Berdasarkan hasil eksplorasi, pemimpin ideal menunjukkan tujuh atribut psikologis yang diurutkan sebagai berikut: personalitas, integritas, orientasi rakyat, kapabilitas, asertivitas, produktivitas, dan intelektualitas. Berdasarkan model pohon keputusan, keputusan partisipasi (mencoblos/golput) paling dominan diprediksi oleh tingkat kepercayaan dan diikuti oleh atribut pemimpin ideal. Model menunjukkan empat kategori partisipan yang dipastikan mengambil keputusan mencoblos di pemilihan presiden dan dapat memprediksi keputusan partisipasi (mencoblos/golput) secara akurat.

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Keywords

atribut pemimpin ideal, H, model pohon keputusan, keputusan partisipasi, pemrosesan informasi, Psychology, Social Sciences, tingkat kepercayaan, BF1-990

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold