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Perceived Organization Support Towards Employee Engagement and The Impact of Employee Job Satisfaction Sulistyawati, Upik Sri; Sufriadi, Dedi
International Journal of Social Science and Business Vol 4, No 4 (2020)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijssb.v4i4.28587

This study was to analyze the effect of perceived organizational support on employee engagement and its impact on employee job satisfaction. This type of research is explanatory research with a quantitative approach. Hypothesis testing using the hierarchical regression analysis method with the help of SPSS version 21. The results showed that: there was a positive influence on perceived organizational support on employee engagement. with the result Z = 0.628; t = 6,096; p <0.001; there is a positive effect of perceived organizational support on employee performance indicated by the result Y = 0.791; t = 12,022; p <0.001; There is a positive influence on employee engagement on employee performance as indicated by Y = 0.323; t = 2,766; p <0.01); and employee engagement can be proven as a mediating variable on the effect of perceived organizational support on the performance of administrative employees. So, there is an effect of perceived organizational support on employee engagement and its impact on employee job satisfaction. These findings are expected to evaluate employee performance and understand the process of implementing policies for employees.

The Effect Of Information Technology on Employee Performance in Universities During The New Normal Era Of Covid-19 Sulistyawati, Upik Sri; Bahruni, Bahruni
International Journal of Social Science and Business Vol 5, No 3 (2021): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijssb.v5i3.34584

Covid has had an impact on the lives of employees generally including university employees. Social restrictions have posed a serious problem with regard to employee performance. In order to maximize employee performance, it is necessary to use information technology in the new normal life. The purpose of this study was to find out the effect of the use of information technology (X) on employee performance (Y). The subject of the research was employees of Sabang College of Economics in Banda Aceh and the Indonesian College of Informatics management in Banda Aceh. The type of the research used was explanatory research with a quantitative approach. The samples were 46 respondents at Sabang College of Economics in Banda Aceh and Indonesian College of Informatics management in Banda Aceh. The data analyses are descriptive analysis, inferential analysis, and multiple linear regression. The sampling technique used is saturation sampling. The results concluded that the independent variables have a significant influence on employee performance simultaneously and partially. Thus, of the two independent variables, efficacy has the most dominant influence on employee performance. The use of IT has the largest beta coefficient and t count. The results of multiple linear regression concluded that the independent variable has a significant influence on the dependent variable, namely employee performance, which is 64.7%. The remaining 35.3% is another variable that can affect employee performance. Other variables that can influence employee performance include employee motivation and ability. Information Technology has had some bearing on employee performance in universities during this the new normal life of Covid-19 period.Â

Perceived Organization Support Towards Employee Engagement and The Impact of Employee Job Satisfaction Upik Sri Sulistyawati; Dedi Sufriadi
International Journal of Social Science and Business Vol. 4 No. 4 (2020): November
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijssb.v4i4.28587

This study was to analyze the effect of perceived organizational support on employee engagement and its impact on employee job satisfaction. This type of research is explanatory research with a quantitative approach. Hypothesis testing using the hierarchical regression analysis method with the help of SPSS version 21. The results showed that: there was a positive influence on perceived organizational support on employee engagement. with the result Z = 0.628; t = 6,096; p <0.001; there is a positive effect of perceived organizational support on employee performance indicated by the result Y = 0.791; t = 12,022; p <0.001; There is a positive influence on employee engagement on employee performance as indicated by Y = 0.323; t = 2,766; p <0.01); and employee engagement can be proven as a mediating variable on the effect of perceived organizational support on the performance of administrative employees. So, there is an effect of perceived organizational support on employee engagement and its impact on employee job satisfaction. These findings are expected to evaluate employee performance and understand the process of implementing policies for employees.

The Role of Information Technology on Employee Performance in Universities at New Normal Life Order After Covid-19 Pandemic Upik Sri Sulistyawati; Bahruni Bahruni
International Journal of Social Science and Business Vol. 5 No. 2 (2021): May
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijssb.v5i3.34584

Social restrictions have become a serious problem with regard to employee performance. In order to maximize employee performance, it is necessary to use information technology in the new normal life. The purpose of this study was to determine the effect of the use of information technology (X) on employee performance (Y). The type of research used is explanatory research with a quantitative approach. The sample used in this study were 46 respondents. The data analysis used is descriptive analysis, inferential analysis, and multiple linear regression. The sampling technique used is a saturated sample. The results of this study can be concluded that the independent variables have a significant influence on employee performance simultaneously and partially. The use of IT because it has the largest beta coefficient and t count. From the results of multiple linear regression, it can be concluded that the independent variable has a significant influence on the dependent variable, employee performance, which is 64.7%. While the remaining 35.3% is another variable that can affect employee performance. Other variables that can affect employee performance include employee motivation and ability. Information Technology has had an influence on employee performance at universities in the new normal life order during the Covid-19 period.

Billing Barber Shop (An Implementation of GoodBarber App Builder) Upik Sri Sulistyawati; Bahruni; Afrizal; Alfina
International Journal Software Engineering and Computer Science (IJSECS) Vol. 2 No. 2 (2022): OCTOBER 2022
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v2i2.798

The research objective is to develop a Billing Barbershop application by implementing GoodBarber App Builder in application development. The research method used in this study consists of 5 parts, namely the literature study method, data collection method, analysis method, design method, and the development method used is extreme programming. From the research results, a Billing Barber Shop application has been developed by implementing the GoodBarber App Builder which is designed to consist of login, home, billing, orders, product, and users forms. The test results are known in Usability testing, Compatibility testing, Interface testing, Low level resource, Performance testing, Operational testing, Installation testing, and Security testing stating very good with an average percentage above 80%. But in Service testing, choosing poor because Billing Barber Shop still uses the internet as a connection to data using Zapier Add-ons and Google Sheets.

Analyzing Customers in E-Commerce Using Dempster-Shafer Method Nazaruddin, Erizal; Caroline; Andrijanni; Sulistyawati, Upik Sri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 2 (2023): AUGUST 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i2.1497

This research explores the analysis of consumer sentiment in the context of e-commerce by applying the sophisticated Dempster-Shafer method. We started with the collection of more than 20,000 consumer reviews from various leading e-commerce platforms and continued with a detailed data pre-processing stage to obtain a clean and structured dataset. Next, we leverage the Dempster-Shafer method to represent and combine information from multiple sources, addressing uncertainty in diverse consumer opinions. The results of the sentiment analysis show that the Dempster-Shafer method achieves an accuracy of around 85%, with good evaluation metrics. Additionally, this research provides insight into the factors that influence consumers' views of products or services in the growing e-commerce context. The literature review also reveals the potential application of the Dempster-Shafer method in other aspects of e-commerce business, such as risk management and consumer trust. This research highlights the contribution of the Dempster-Shafer method in addressing uncertainty and complexity in consumer sentiment analysis, yielding a deep understanding of consumer perceptions, and enabling more accurate decision making in a dynamic e-commerce context. This research also provides a foundation for further development in consumer sentiment analysis and the application of the Dempster-Shafer method in e-commerce.

Analisis Pengaruh Gaya Kepemimpinan Konsultatif dan Beban Tugas terhadap Tingkat Komitmen Karyawan di PT. Bank BCA KCP Bali Susilo, Edi; Sulistyawati, Upik Sri
Jurnal EMT KITA Vol 8 No 1 (2024): JANUARY 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v8i1.1918

This research aims to investigate the influence of consultative leadership style and task demands on employee organizational commitment at PT. Bank BCA KCP Bali, as well as to measure the extent to which leadership and task demands influence the organizational commitment of employees at PT. Bank BCA KCP Bali. This research was carried out at PT. Bank BCA KCP Bali with a research object population involving all employees. The number of respondents involved was 53 people. The results of the F-test (simultaneous) show that all the variables studied have a significant influence on increasing the commitment of PT employees. Bank BCA KCP Bali, with an F-calculated value that exceeds the F-table value at a significance level of □= 5%. Partially, the t-test results show that the most significant variable influences the commitment of PT employees. Bank BCA KCP Bali is a task demands variable, with a t-count value that is greater than the consultative leadership variable which has a smaller t-count value.

Stock Portfolio Analysis with Machine Learning Algorithmic Approach for Smart Investment Decisions Munawir; Sulistyawati, Upik Sri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.2606

This study investigates the application of machine learning algorithms in stock portfolio analysis within the Indonesia Stock Exchange (IDX) and their impact on investment decision-making. By engaging 500 respondents from diverse market segments, including retail investors, institutional investors, and stock traders, the research provides a comprehensive overview of adopting and utilising machine learning technologies in the Indonesian stock market. The findings reveal that over 80% of respondents have integrated machine learning algorithms into their investment strategies. The algorithms are applied in various capacities: 45% of respondents use them for portfolio risk analysis, 30% for stock price prediction, and 25% for identifying new investment opportunities. Preferences for specific algorithms vary, with regression, Support Vector Machines (SVM), and Random Forest emerging as the most used tools. The integration of machine learning was strongly associated with improved investment decisions, as more than 60% of respondents reported enhanced portfolio performance and greater accuracy in their decision-making. These results highlight the transformative potential of machine learning algorithms in enabling more innovative and more adaptive investment strategies.

Membangun Keunggulan Kompetitif melalui Platform E-Commerce: Studi Kasus Tokopedia Upik Sri Sulistyawati; Munawir
Jurnal Manajemen dan Teknologi Vol. 1 No. 1 (2024): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jmt.v1i1.776

This research aims to reveal in depth the key strategies that have enabled Tokopedia, one of the leading companies in the e-commerce industry in Indonesia, to not only build, but also maintain its competitive advantage. Through a comprehensive case study approach, we analyzed various factors that played a role in Tokopedia's success, including product and service innovation, development of a strong ecosystem, and superior customer service. Data for this research was collected through a series of methods, including in-depth interviews with various stakeholders at Tokopedia, careful analysis of financial reports and company publications, as well as an in-depth review of literature related to the e-commerce industry and business strategy. This approach allows us to comprehensively summarize the various factors that play a role in building a strong foundation for Tokopedia's competitive advantage. The results of this research provide invaluable insights for managers and business practitioners in the e-commerce industry, as well as strategic decision makers at various organizational levels. By understanding the key factors that have led to Tokopedia's success, stakeholders can formulate more effective strategies to develop their own competitive advantage in an increasingly fierce and rapidly changing market. Our in-depth analysis reveals that Tokopedia's success is not solely based on a single factor, but is the result of a combination of interrelated and mutually supporting strategies. Apart from product and service innovation which is the company's main focus, developing an inclusive ecosystem is also the key to success.

Decoding Big Data: Mengubah Data Menjadi Keunggulan Kompetitif dalam Pengambilan Keputusan Bisnis Upik Sri Sulistyawati; Munawir
Jurnal Manajemen dan Teknologi Vol. 1 No. 2 (2024): November
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jmt.v1i2.1114

Penelitian ini mengkaji peran Big Data dalam menciptakan keunggulan kompetitif bagi perusahaan melalui pendekatan analitik yang mencakup metode deskriptif, prediktif, dan preskriptif. Dengan menggunakan studi kasus empiris di berbagai sektor industri seperti ritel, keuangan, dan kesehatan, penelitian ini menunjukkan bahwa pemanfaatan Big Data memungkinkan organisasi untuk mengidentifikasi peluang pasar, memitigasi risiko, dan meningkatkan efisiensi operasional. Pendekatan bibliometrik yang diterapkan membantu dalam memetakan tren penelitian terkait Big Data, termasuk identifikasi kolaborasi antar peneliti dan kluster riset dominan. Hasil studi menunjukkan bahwa perusahaan yang secara optimal mengintegrasikan Big Data ke dalam proses pengambilan keputusan mampu merespons dinamika pasar dengan lebih cepat, mengurangi biaya operasional, dan memperkuat loyalitas pelanggan. Selain itu, analitik Big Data memungkinkan prediksi yang lebih akurat terhadap tren pasar dan perilaku konsumen, yang berujung pada inovasi produk dan layanan yang lebih relevan. Penelitian ini juga menyoroti pentingnya kepemimpinan transformasional dalam memfasilitasi implementasi Big Data, serta tantangan yang dihadapi organisasi terkait privasi dan keamanan data. Dengan demikian, penelitian ini memberikan kontribusi signifikan bagi pemahaman tentang pentingnya Big Data dalam pengembangan strategi bisnis yang berbasis data di era digital.

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