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Distress Factor Analysis of Workers in a Construction Company in 2024 Safitri, Silvana; Kurniawidjaja, L. Meily
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 3 No. 12 (2024): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v3i12.1387

Abstract

This study aims to describe the level of distress and risk factors associated with distress in workers in a construction company, which was conducted in May - December 2024. A cross sectional design was carried out in this study. A total of 255 people who have completed the complete online questionnaire were included in the study. The primary data collection was the measurement of the psychosocial state of workers using a questionnaire distributed online. The measurement of worker stress levels also used DASS 21 and the variables of context of work and context of the work were taken using COPSOQ III, NIOSH questionnaires and previous studies that have gone through validity and reliability tests. A multivariate analysis was conducted to identify the risk factors that have a significant effect on dysstress, namely, marital status and career improvement, status and wages. The dominant risk factors for distress in the construction industry in 2024 are increased careers, status, and wages, with a 95% IK: 1,325 - 5,443, after controlling work schedules/hours, organizational culture and function, and marriage. The findings could serve as a foundation for developing targeted strategies to mitigate distress, enhance workplace conditions, and ultimately improve productivity and morale within construction companies. Furthermore, comparative studies across different construction companies or regions could identify best practices and strategies that successfully reduce distress levels among workers facing similar challenges.
Ujaran Kebencian Netizen terhadap Akun Instagram Nikita Mirzani Kajian Pragmatik Safitri, Silvana; Sanubarianto, Salimulloh Tegar
SAWERIGADING Vol 31, No 2 (2025): Sawerigading, Edisi Desember 2025
Publisher : Balai Bahasa Sulawesi Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26499/sawer.v31i2.1320

Abstract

The phenomenon of hate speech that occurs through someone's personal social media account platform is certainly no longer something foreign to our ears. In this article, the researcher explains how hate speech can occur and provides the results of research by collecting data via comments on the Instagram social media account belonging to public figure Nikita Mirzani Mawardi. This research takes a pragmatic study approach which uses a qualitative descriptive research method using the selective note-taking method as a data collection technique to analyze various types of comments that give rise to negative responses because the accounts contain various controversial matters. The researcher presents the main focus in this research as identifying and classifying hate speech and investigating the pragmatic meaning packaged in the form of hate speech which is expressed using various communication sketch tricks aimed at attacking the figure. Based on researchers' analysis, hate speech is classified into three types, namely hate speech in the form of defamation, hate speech in the form of insults, and hate speech in the form of provocation. This research also provides knowledge about the dynamics of language in various social media, especially Instagram. AbstrakFenomena ujaran kebencian yang terjadi melalui platform akun sosial media milik pribadi seseorang tentunya bukan lagi hal asing yang terdengar ke telinga kita. Pada artikel ini peneliti memaparkan bagaimana ujaran kebencian dapat terjadi serta memberikan hasil dari sebuah penelitian melalui pengumpulan data lewat komentar akun sosial media Instagram milik publik figur Nikita Mirzani Mawardi. Pada penelitian ini mengambil pendekatan kajian pragmatik yang menggunakan metode penelitian deskriptif kualitatif dengan memanfaatkan metode simak catat dengan selektif, sebagai teknik pengumpulan datanya untuk menganalisis berbagai jenis komentar yang menimbulkan respon negatif karena akun tersebut berisi dengan berbagai kontroversi. Untuk menganalisis data dalam penelitian ini dilakukan dengan teknik SBLC (simak bebas libat cakap) dengan mereduksi data terlebih dahulu kemudian menginterpretasi sesuai dengan permasalahan penelitian. Peneliti menyuguhkan fokus utama dalam penelitian ini adalah untuk mengidentifikasi serta mengklasifikasikan ujaran kebencian dan mengusut makna pragmatik yang dikemas dalam bentuk ujaran kebencian yang diungkapkan dengan berbagai trik sketsa komunikasi yang bertujuan menyerang tokoh tersebut. Berdarkan analisis peneliti ujaran kebencian diklasifikasikan menjadi tiga jenis yaitu ujaran kebencian berbentuk pencemaran nama baik, ujaran kebencian berbentuk penghinaan, dan ujaran kebencian berbentuk provokasi. Penelitian ini juga memberikan pengetahuan mengenai dinamika berbahasa diberbagai media sosial terutama Instagram.