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Designing a Workplace Health Model for Creative Industry Employees in Tourism Villages: A Grounded Theory Approach” Riana, Meisi; Latif, Antinah; Annishia, Fristi Bellia; Elviana, Elviana; Shabir, Fadly
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

Tourism villages are one of the fastest growing sectors in the creative industry. Healthy workplace conditionsare essential to support employees in generating innovation and creativity. However, workplace health in this sector isoften neglected. This research aims to design a workplace wellness model suitable for creative industry employees intourist villages, using a Grounded Theory approach. The method involved in-depth interviews with 20 employees and 2managers from a pilot tourist village. Data were analyzed through open, axial, and selective coding stages to identifyfactors affecting occupational health. The results revealed that lack of government regulation and supervision, high workpressure, and lack of health facilities are some of the main challenges faced by employees. In addition, low managerialsupport for employee health also worsened workplace conditions. Based on these findings, the proposed workplacehealth model is the socialization and education of existing OSH regulations, establishing partnerships with OSHinstitutions or external parties, managing work stress, and providing better health facilities. This model is expected toimprove the physical and mental well-being of employees, while encouraging productivity and work quality in thecreative industry sector of tourist villages. The main suggestion from this research is the importance of more attentionfrom the management of tourist villages in implementing a comprehensive occupational health policy to create a healthierwork environment and support innovation.
ANALISIS KLASTERISASI NASABAH PENERIMA KREDIT MENGGUNAKAN METODE FUZZY C-MEANS Shabir, Fadly
Nusantara Hasana Journal Vol. 4 No. 8 (2025): Nusantara Hasana Journal, January 2025
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v4i8.1406

Abstract

This study conducted clustering of credit recipient customers using the Fuzzy C-Means (FCM) method. By using this clustering technique, customers can be grouped based on certain characteristics such as monthly income, credit history, business running time, and the amount of loan applied for. The results of the study indicate that the FCM method can provide more accurate customer segmentation in assessing credit risk and assisting banks in marketing strategies and risk mitigation. Thus, this study can be used as a reference in a data-based customer management system in the banking sector. The purpose of this study is to provide accurate segmentation of credit recipient customers. The use of FCM is expected to help reduce operational costs by directing resources to the right customers.
Identification of Brain Areas Associated with Chronic Neuropathic Pain through Hjorth Parameter Analysis of EEG Signals Asyrafi, Hilman; Handayani, Nita; Ilmawan, Lutfi Budi; Shabir, Fadly; Jamal, Ridwan; Jannah, Miftahul; Arysespajayadi
Jurnal Fisika Vol. 15 No. 2 (2025): Jurnal Fisika 15 (2) 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v15i2.24512

Abstract

This study investigates the neurophysiological signatures of chronic neuropathic pain (CNP) through the analysis of EEG signals using Hjorth parameters (Activity, Mobility, and Complexity). We compared EEG recordings from 36 CNP patients with those from 19 healthy controls (HC) under both eyes-open and eyes-closed conditions. Analysis of 19 electrode locations revealed significant differences between the groups across all Hjorth parameters. The Activity parameter showed dramatic elevations in CNP patients across all brain regions, indicating widespread cortical hyperexcitability. Mobility parameters revealed significant alterations particularly in occipital (O2), central midline (Cz), and parietal (Pz) regions, with strong effect sizes (Cliff's delta > 0.7). Complexity parameters demonstrated significant changes in right temporal (T4) and parietal midline (Pz) areas. The combined analysis identified the parietal cortex, temporal regions, occipital cortex, and central midline as key areas associated with CNP, suggesting a distributed network disruption rather than localized dysfunction. These findings contribute to our understanding of the neural mechanisms underlying chronic neuropathic pain and may support the development of objective diagnostic markers and targeted interventions for this debilitating condition.