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All Journal Jurnal Ilmiah Psikologi Terapan Journal of Contemporary Administration and Management (ADMAN)
Arinil Haqqoh, Arinil
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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STRES KERJA KARYAWAN DAN KEMAMPUAN BERPIKIR DIVERGEN Haqqoh, Arinil
Jurnal Ilmiah Psikologi Terapan Vol 4, No 1 (2016)
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.13 KB) | DOI: 10.22219/jipt.v4i1.2875

Abstract

Tuntutan yang tinggi pada karyawan dapat menyebabkan stres kerja. Cara menyelesaikan masalah terkait stress kerja dapat ditinjau dari cara berpikir divergen. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara kemampuan berpikir divergen dengan stres kerja. Penelitian ini dilakukan pada 106 karyawan dan diambil menggunakan quota sampling. Metode yang digunakan dalam penelitian ini adalah kuantitatif korelasional dengan menggunakan skala creativity questionnaire dan skala stres kerja. Hasil analisis menyimpulkan bahwa ada hubungan negatif yang signifikan (0,229; p=0,017) hal ini berarti semakin tinggi kemampuan berpikir divergen maka semakin rendah stres kerja.  Kontribusi dalam penelitian ini sebesar 5,2%.
Strategies for SMEs in Managing Big Data for Personalization and Customer Service Enhancement Handayati, Ratna; Haliza, Siti Nur; Haqqoh, Arinil; Kumalasari, Endah Nur; Saputra, Yangga
ADMAN: Journal of Contemporary Administration and Management Vol 2 No 2 (2024): August 2024
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/adman.v2i2.208

Abstract

In the current digital era, big data has become an invaluable asset for various organizations, including Small and Medium Enterprises (SMEs). Big data refers to vast and complex datasets that cannot be managed or analyzed using traditional methods. This study aims to provide practical guidelines for SMEs on how they can efficiently and effectively manage big data for personalization and customer service enhancement. The research employs a literature review method with a qualitative approach, gathering data from Google Scholar covering the period from 2014 to 2024. The findings highlight how SMEs can leverage big data to improve personalization and customer service. Big data, characterized by its volume, velocity, and variety, offers significant opportunities for SMEs to understand customer preferences, enhance their experiences, and improve services. Despite facing challenges in terms of resources and skills, SMEs can overcome these hurdles by utilizing cloud-based technologies, affordable analytical tools, and skills training. Case studies such as Tinkr, Tokopedia, and Gojek illustrate how data analysis can enhance the relevance of product and service offerings, while challenges like data security and infrastructure limitations remain important issues to address.
Co-Authors Haliza, Siti Nur Handayati, Ratna Kumalasari, Endah Nur Saputra, Yangga