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Pemetaan Orientasi Visi Misi Perguruan Tinggi Swasta Di Wilayah Kopertis V Yogyakarta Lucia Ika Fitriastuti
HOME Vol. 13 No. 2 (2018)
Publisher : Jurnal Solusi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51277/keb.v13i2.40

Abstract

The formulation of a right and realistic vision and mission in an organization plays an important role in achieving organizational goals. The vision and mission that has been determined will show the orientation of the organization. This study was interested to discussing how the orient the vision and mission at private universities in the Kopertis V area of Yogyakarta. The purpose of this study was to obtain an overview or mapping of vision and mission orientation at private universities in the Kopertis V region of Yogyakarta. The sample used is a total sample or the entire population. This study analyzed all private universities in the Kopertis V Yogyakarta area. The data source is the Kopertis V directory book. Analysis is done by content / content analysis, then using percentage calculations and data comparisons. The results show that the focus of the university’s vision and mission orientation is about the quality of graduates, both in terms of competence and ethics. Followed by the second order, private universities has begun to take into account their position towards other universities, so that in their vision and mission they declare their superiority at the national and global / international level. Third place, oriented to the interests of society and the State. The majority of private universities in Yogyakarta (91%) explained tridarma activities in their mission statement, the rest (9%) did not explain tridarma.
PENGARUH KOMPENSASI, LNGKUNGAN KERJA DAN MOTIVASI TERHADAP KINERJA KARYAWAN DENGAN KEPUASAN KERJA SEBAGAI VARIABEL INTERVENING Yohannes Vemberi; Lucia Ika Fitriastuti
Solusi: Jurnal Kajian Ekonomi dan Bisnis Vol. 10 No. 2 (2015)
Publisher : Sekolah Tinggi Ilmu Ekonomi SBI

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Abstract

The purpose ofthis research is to examine the effect ofcompensation (direct and indirect compensation), work environment, and motivation on job satisfaction. Then examine the effect ofjob satisfaction on employee performance. The researcher.s used questionnaires to obtaining the data in this study. The questionnaire measures the five variables, compensation, work environment, motivation, job satisfaction and employee per- formance. Respondents are already working in a company. This research using 65 samples. The data analysis used regression analysis. These results indicate that the compensation (direct and indirect) influence employee satisfaction. Work environment does not affect employee satisfaction. Motivation affects employee satisfaction. Job satisfaction affects employee performance.
THE ROLE OF ARTIFICIAL INTELLIGENCE IN SMES DECISION MAKING: A BIBLIOMETRIC ANALYSIS Lucia Ika Fitriastuti
Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen Vol. 13 No. 1 (2026): Jurnal Riset Manajemen
Publisher : Program Magister Manajemen STIE Widya Wiwaha Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32477/k8m06w03

Abstract

In the current digital era, Artificial Intelligence (AI) plays a significant role in the business sector, particularly in management decision-making. This article presents an analysis of various studies related to the role of Artificial Intelligence in SMEs decision-making over the past 22 years. A total of 115 articles published from 2003 to 2024 were analyzed. The data analysis method used was bibliometric analysis. Data were imported from the Scopus database and used the Harzing's Publish or Perish application. Meanwhile, to obtain data visualization, this study used the VoS Viewer application. The items analyzed in this article relate to the concept of Artificial Intelligence applied by SMEs, existing topic trends, document types, journal names, document sources, publisher names, and the presentation of author collaborations. This study found that most articles related to the topic of the role of Artificial Intelligence in SMEs decision-making were published in journals and conference proceedings. The highest number of citations was in articles from 2014. The highest number of publications occurred in 2023. Network visualization results show that articles related to Artificial Intelligence are the primary term or topic frequently found in relation to the role of Artificial Intelligence in SMEs decision-making. Other related terms include small and medium enterprises, decision support systems, machine learning, SMEs, Industry 4.0, decision-making, and small and medium-sized enterprises. The implication for SMEs is to maximize the use of AI in their businesses to enable them to make informed business decisions, which in turn can improve their competitiveness and business development.