Claim Missing Document
Check
Articles

Found 13 Documents
Search

ANALISIS PEMANFAATAN SISTEM INFORMASI RUMAH SAKIT (SIMRS) PADA RS. IBNUSINA YW-UMI MAKASSAR Radjab, Enny; Mandasari, Nur Fitriayu
Jurnal Paradigma Vol 26 No 2 (2022): July 2022
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/paradigma.v26i2.7463

Abstract

The development of technological advances today is growing very rapidly. Currently, in various fields, an application sistem is needed which makes it a must and policy for every agency, both government and private, in data management that utilizes information as the basis for technology-based administration. The most important role in providing clinical services administratively with the use of information sistems must be owned by the hospital. At this time the management of information in hospitals has been implemented with the use of an electronic-based information sistem (SIMRS), every hospital requires a management information sistem (SIM) in improving the quality of medical services carried out. In an integrated hospital environment information sistem (SIMRS), the design of which can be used for all hospital activities into one integrated sistem so that it can be stored in a central database. The application of the use of applications that are stored in an existing case, data, and problems so that they can be turned into a new form without losing the basic values of the data, problems, and work itself.
The Impact of Social Media Marketing on Gen Z Women s Buying Interest Through Brand Attitude and Brand Equity in Cosmetic Products : Ashdaq, Muhammad; Jamil, Muhammad; Mandasari, Nur Fitriayu
Manajemen dan Kewirausahaan Vol. 5 No. 1 (2024): Manajemen Kewirausahaan
Publisher : Manajemen FEB Unima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/mk.v5i1.9065

Abstract

Marketing through social media has become a marketing strategy that is widely used by the cosmetics industry especially with the number of consumers that continue to grow as generations increase Generation Z women are a potential market in this industry where this generation is a new entrant consumer The purpose of this study is to investigate the influence of marketing through social media on the intention to make purchases with variables mediating brand attitude and brand equity on cosmetic products in the city of Makassar < em>The research was conducted by distributing questionnaires to 288 respondents selected using a non probability sampling technique known as convenience sampling < em> The collected primary data is then processed using the Structural Equation Modelling SEM method using AMOS 23 software < em>The research results indicate that marketing via social media has a positive and significant impact on brand attitude and brand equity but does not significantly influence the purchasing intentions of Gen Z women Additionally brand attitude and brand equity do not effectively mediate the relationship between social media marketing and purchase intentions These findings suggest that cosmetic companies need to refine their social media marketing strategies to better target Gen Z women < em>< p>
Deepfakes, Public Trust, and Online Discourse: Sentiment Analysis of Responses to the “Guru Beban Negara” Hoax Clarification on Social Media Ashdaq, Muhammad; Jannah, Ummul Radiatul; Yourike, Yourike; Putri, Rezky Amalia; Mandasari, Nur Fitriayu
Journal of Sustainable Innovation Engineering Vol. 1 No. 3 (2025): November
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i3.22

Abstract

The rapid advancement of artificial intelligence technologies has introduced a new form of digital threat in the form of deepfakes, which have the potential to accelerate the spread of hoaxes and undermine public trust in official information. One notable and controversial example is the “Guru Beban Negara” hoax, which generated diverse and polarized reactions on social media platforms, despite the issuance of an official clarification by the authorities. This phenomenon suggests that institutional responses do not always succeed in mitigating negative public perceptions once misinformation has circulated widely. This study aims to examine public sentiment toward the official clarification by analyzing user comments on YouTube using the Naïve Bayes Classifier algorithm. Data were collected through web scraping techniques and subsequently processed through several preprocessing stages, including cleansing, normalization, tokenization, and stemming, to ensure data quality and analytical reliability. The findings reveal a strong predominance of negative sentiment among the 2,252 comments analyzed. The sentiment classification model achieved an accuracy rate of 73%, with the distribution indicating that most users expressed negative reactions, while only a small proportion conveyed positive sentiment. These results indicate that official clarifications have not been fully effective in alleviating negative public perceptions associated with deepfake-based hoaxes, particularly within the context of social media discourse.