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

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

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 universityâ€™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.

A Bibliometric Analysis of the Internet of Everything in Business in 2012 - 2022 Fitriastuti, Lucia Ika; Vemberi, Yohannes
IJISTECH (International Journal of Information System and Technology) Vol 7, No 4 (2023): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i4.323

The Internet of Everything (IOE) plays a vital role in the business field in the current era of digitalization. The Internet of Everything (IOE) is a combination of 4 main elements, namely people, processes, data, and objects, that make network connections more valuable. In this article, researchers present an analysis of various studies related to the Internet of Everything (IoE) in Business over the last ten years. Bibliometric analysis was used to analyze 280 articles published from 2012 to 2022. Articles will be analyzed based on the trend of the topic raised, the type of document, the name of the journal, the source of the document, the name of the publisher and even the presentation of the authors' collaboration related to IoE. The data analysis method used is bibliometric analysis. The data is imported from the Scopus database and uses Harzing's Publish or Perish applications. Meanwhile, to get data visualization, this study uses the VoS Viewer application. This study found that most articles related to the topic of IoE in Business are published more in conference proceedings than in journals, books, or book series. The most significant number of citations were articles in 2014. The highest number of publications occurred in 2021. The results of network visualization show that articles related to the Internet of Things (IoT) are the main terms or topics that are widely found related to IoE. Other related terms are Internet, Cloud Computing, Big Data, Network Security, and Social Networking (online). Implications for businesspeople can maximize the use of IoE in their business to the maximum in the current digitalization era in order to increase their business's competitive advantage. This research also shows further researchers that there are still many research opportunities related to IoE, which can be related to IoT, big data, cloud computing, and other update issues.

A Bibliometric Analysis of the Internet of Everything in Business in 2012 - 2022 Fitriastuti, Lucia Ika; Vemberi, Yohannes
IJISTECH (International Journal of Information System and Technology) Vol 7, No 4 (2023): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i4.323

The Internet of Everything (IOE) plays a vital role in the business field in the current era of digitalization. The Internet of Everything (IOE) is a combination of 4 main elements, namely people, processes, data, and objects, that make network connections more valuable. In this article, researchers present an analysis of various studies related to the Internet of Everything (IoE) in Business over the last ten years. Bibliometric analysis was used to analyze 280 articles published from 2012 to 2022. Articles will be analyzed based on the trend of the topic raised, the type of document, the name of the journal, the source of the document, the name of the publisher and even the presentation of the authors' collaboration related to IoE. The data analysis method used is bibliometric analysis. The data is imported from the Scopus database and uses Harzing's Publish or Perish applications. Meanwhile, to get data visualization, this study uses the VoS Viewer application. This study found that most articles related to the topic of IoE in Business are published more in conference proceedings than in journals, books, or book series. The most significant number of citations were articles in 2014. The highest number of publications occurred in 2021. The results of network visualization show that articles related to the Internet of Things (IoT) are the main terms or topics that are widely found related to IoE. Other related terms are Internet, Cloud Computing, Big Data, Network Security, and Social Networking (online). Implications for businesspeople can maximize the use of IoE in their business to the maximum in the current digitalization era in order to increase their business's competitive advantage. This research also shows further researchers that there are still many research opportunities related to IoE, which can be related to IoT, big data, cloud computing, and other update issues.

MEKANISME DAN IMPLEMENTASI PEMUNGUTAN PAJAK KENDARAAN BERMOTOR DI SAMSAT SLEMAN Susliyanti, Eni Dwi; Somi, Vivilia; Fitriastuti, Lucia Ika; S, Surawan Setya Budi; Iswantoro, Ibnu Yanuar
E-Amal: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2: Mei-Agustus 2024
Publisher : LP2M STP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/eamal.v4i2.3526

This internship activity aims to find out: (1) What is the mechanism for collecting motorized vehicle tax at the Sleman Samsat, (2) the obstacles that occur and the solutions carried out in Motor Vehicle Tax Receipt at the Sleman Samsat. The method of collecting data in solving problems is by interview method, observation method, and by means of the documentation method.The results of this internship show that: (1) The mechanism for collecting motorized vehicle tax in the Sleman Samsat is very good, (2) the obstacles that occur as well as solutions to motorized vehicle tax revenue in the Sleman Samsat, namely, the lack of public awareness in paying motorized vehicle tax properly time, the lack of knowledge of taxpayers regarding the procedure for moving in and out of motorized vehicles in Sleman district and avoidance of progressive tariffs. The solution to overcoming obstacles to motorized vehicle tax collection is to activate tax socialization, hold a motor vehicle tax penalty bleaching/removal program and provide several excellent services that can be used by the community to increase local revenue from motorized vehicle tax while at the same time facilitating the public in carrying out their tax obligations

Komputasi Statistik Tingkat Kunjungan Wisman dan Hunian Kamar Hotel di Indonesia: Sebelum dan Selama Pandemi Covid-19 Fitriastuti, Lucia Ika; Vemberi, Yohannes; Herawan, Tutut
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.611

The impact of the Covid-19 pandemic on tourist visits and hospitality has been enormous in various countries. This is due to social restriction policies and risks related to health. The purpose of this study is to prove quantitatively whether there are differences in the level of visits by foreign tourists and the occupancy rates of hotel rooms in Indonesia before and during the Covid-19 pandemic. This study uses 4 years of secondary data obtained from BPS from 2018 to 2022. The data analysis technique used is quantitative descriptive using a nonparametric statistical tool, namely the Wilcoxon Signes-Ranks Test. The results of this study indicate that there are differences in the level of foreign tourist visit and hotel rooms occupancy rates in Indonesia before and during the Covid-19 pandemic. It can also be proven that there were differences in the hotel rooms occupancy rates in Indonesia before and during the Covid-19 pandemic. Based on national data in Indonesia, the impact of the Covid-19 pandemic can reduce the level of foreign tourist visits and the occupancy rate of hotel rooms. This research recommends various innovative ways to deal with the negative impact of the Covid-19 pandemic on the tourism and hospitality industry.

Komputasi Statistik Tingkat Kunjungan Wisman dan Hunian Kamar Hotel di Indonesia: Sebelum dan Selama Pandemi Covid-19 Fitriastuti, Lucia Ika; Vemberi, Yohannes; Herawan, Tutut
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.611

The impact of the Covid-19 pandemic on tourist visits and hospitality has been enormous in various countries. This is due to social restriction policies and risks related to health. The purpose of this study is to prove quantitatively whether there are differences in the level of visits by foreign tourists and the occupancy rates of hotel rooms in Indonesia before and during the Covid-19 pandemic. This study uses 4 years of secondary data obtained from BPS from 2018 to 2022. The data analysis technique used is quantitative descriptive using a nonparametric statistical tool, namely the Wilcoxon Signes-Ranks Test. The results of this study indicate that there are differences in the level of foreign tourist visit and hotel rooms occupancy rates in Indonesia before and during the Covid-19 pandemic. It can also be proven that there were differences in the hotel rooms occupancy rates in Indonesia before and during the Covid-19 pandemic. Based on national data in Indonesia, the impact of the Covid-19 pandemic can reduce the level of foreign tourist visits and the occupancy rate of hotel rooms. This research recommends various innovative ways to deal with the negative impact of the Covid-19 pandemic on the tourism and hospitality industry.

A Systematic Literature Review of Digital Skills and Human Resource Readiness for the Industrial Revolution Era 4.0 and 5.0 Dermawan, Arief; Wening, Nur; Vemberi, Yohannes; Fitriastuti, Lucia Ika
JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) Vol. 10 No. 1 (2025): JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan)
Publisher : Graduate Program Magister Manajemen Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/jmksp.v10i1.17965

The Industrial Revolutions 4.0 and 5.0 have significantly transformed the workforce, demanding human resources (HR) to possess digital skills and adaptive readiness. This study aims to identify and analyze the necessary digital skills and HR readiness to address the challenges of these industrial revolutions through a literature review approach. This article analysis of 15 scientific articles published between 2020 and 2025, the research reveals that digital skills such as data literacy, information technology proficiency, and problem-solving abilities are key factors. The readiness of Human Resources (HR) to adopt advanced technologies and human-centric approaches in the Industrial Revolution 4.0 and 5.0 era depends on their willingness to acquire new skills and adapt to rapid transformations. Thus, the success of HR is greatly influenced by organizational readiness and access to technology-based training. The findings of this study provide strategic recommendations for policymakers and practitioners to design effective and relevant HR development programs in the era of Industrial Revolutions 4.0 and 5.0.

Pengaruh Profitabilitas, Likuiditas, Pertumbuhan Laba, dan Struktur Modal terhadap Kualitas Laba Lestari, Muntaz Yuni; Fitriastuti, Lucia Ika
Kajian Ekonomi dan Bisnis Vol. 20 No. 1 (2025)
Publisher : Sekolah Tinggi Ilmu Ekonomi SBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51277/keb.v20i1.228

This study aims to examine the effect of profitability, liquidity, earnings growth, and capital structure on earnings quality in Consumer Non-Cyclicals sector companies listed on the Indonesia Stock Exchange (IDX) during the 2021-2023 period. The research method used is a quantitative approach with multiple linear regression analysis techniques. The data used is secondary data obtained from the financial statements of companies listed on the IDX. The research sample was selected using purposive sampling method with a total sample size of 39 companies over a three-year period, so that the total observations used were 117. The results showed that profitability (ROA) partially affects earnings quality. Liquidity (CR) partially has no effect on earnings quality. Earnings growth (GP) partially has no effect on earnings quality. Capital structure (DER) partially has an influence on earnings quality. Simultaneously profitability, liquidity, earnings growth, and capital structure affect earnings quality

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