Andi Juwita Amal
Universitas Kebangsaan Malaysia

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Development of the Al-Ḥuzn wa Al-Jazā’ Identification Instrument Based on the Thoughts of Abu Zayd al-Balkhī: Pengembangan Instrumen Identifikasi Al-Ḥuzn wa Al-Jazā’ Berdasarkan Pemikiran Abu Zayd al-Balkhī Tuhfi Fitria Abdullah; Putri Anditasari; Cucu Setiawan; Andi Juwita Amal; Dodo Wirdada; Firman Rismanto
Syifa al-Qulub : Jurnal Studi Psikoterapi Sufistik Vol. 10 No. 2 (2026): Syifa al-Qulub: Jurnal Studi Psikoterapi Sufistik
Publisher : Fakultas Ushuluddin UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/saq.v10i2.54870

Abstract

This study aims to construct and explore the dimensional structure of the al-ḥuzn wa al-jazā’ identification instrument, grounded in the classical psychosomatic framework of Abu Zayd al-Balkhī. The primary focus is to map emotional indicators that facilitate a preventive-proactive approach to mental health assessment. Utilizing an exploratory quantitative design, data were analyzed through Exploratory Factor Analysis (EFA), yielding a robust KMO value of 0.882. The findings led to the reduction of the instrument from 76 to 49 items, which settled into four distinct factors: Psychological Distress, Cognitive Resilience, Emotional-Physiological Stability, and Behavioral regulation. While the results confirm the hypothesized four-dimensional structure, a substantive shift was observed: cognitive, affective, behavioral, and physical aspects underwent an integrative fusion into a single primary distress factor, whereas adaptive dimensions emerged independently due to the item direction effect. These implications contribute to a more holistic multidimensional measurement model, though the efficacy of reverse-scored items warrants further validation through Confirmatory Factor Analysis (CFA). The originality of this research lies in its successful transformation of 9th-century psychosomatic terminology into a modern psychometric structure that captures an individual’s adaptive assets alongside clinical symptoms.