This study aims at analyzing and demonstrating bibliometric data analysis step by step using VOSViewer systematically. Step-by-step analysis was provided to make first-time users access and utilize VOSViewers more easily. This study provides data analysis regarding management bioenergy and its development throughout five years (2017–2021) by utilizing mapping tools in the VOSViewer. The method used was qualitative descriptive to describe the bibliometric analysis performance by producing network visualization of the chosen topic. From the search results, 1000 relevant published journals were found, ranging from 2017–2021, which were then grouped into five categories according to their published year. After grouping the journal data, we discovered that the total number of articles published on the topic of bioenergy management from 2017 to 2021 was 180. As a result, it conclude that management bioenergy is a field that can be combined with another field to be studied. This way, there is a lot of opportunities to find novelties in this topic. Furthermore, this study is expected to serve as a resource for researchers conducting research and determining the research theme.

Penelitian ini ditujukan untuk menganalisis dampak gaya kepemimpinan di Bank Negara Indonesia KCU Bandung pada kinerja karyawan bank. Penelitian ini menggunakan analisis deskriptif untuk mengetahui penilaian respondent terhadap gaya kepemimpinan dan kinerja karyawan. Selain itu dilakukan analisis verifikatif untuk melihat pengaruh antar variabel. Data primer diperoleh bersumber dari kuisioner yang diberikan kepada 108 karyawan Bank Negara Indonesia. Alat analisis data menggunakan regresi linier. Berdasarkan hasil evaluasi disimpulkan bahwa gaya kepemimpinan memiliki pengaruh positif pada kinerja karyawan.

The objectives of this paper are to analyze the implementation and architecture of the Internet of Things (IoT) from previous studies, specifically in the world of higher education; offer recommendations for future research, as well as strengthen the theory of IoT architecture that already exists in higher education. This study employed a systematic literature review (SLR) with data collection utilizing Funnel Diagrams to select articles based on their relevance to the research question. The three publisher databases (Scopus, Emerald, and EBSCO) and index journals were utilized in the search for articles. A total of 1,200 articles were gathered from these three sources, with distributions of up to 800 in Scopus, 150 in Emerald, and 250 in EBSCO. The findings demonstrate that the existing IoT architecture has a more sophisticated model than the fundamental idea, which has three layers, implying that using IoT in education may have a significant influence on user convenience. This is due to the increasingly complicated requirements of higher education's many business procedures. This study serves as an inspiration and reference for future research for higher education institutions that include the Internet of Things in their implementation to build an efficient teaching and learning environment.

The aim of this paper is to find out how effective e-commerce to promote and selling the product of MSME. The method chosen to conduct this research is by using DeLone and McLean’s Information Success Model combined with Structural Equation Method (SEM) to find pertaining variable. Data are derived from data transaction with machine learning by conducting converting rule. The result of this research is (1) the correlation of net benefit with other dimension in DeLone and McLean model (2) the dominant variables that increasing the profit of SME (Small and Medium Enterprise).

The Indonesian government is trying to reduce the poverty rate, among others, by encouraging investment sourced from within the country and abroad and increasing the number of micro, small and medium-sized businesses. However, until the end of 2020, the category of poor people in Indonesia is still relatively high, about ten per cent of the total population of Indonesia. This research problem encouraged the authors to examine the role Domestic Investment (DI), Foreign Investment (FI) and Micro, Small, and Medium Enterprises (MSMEs) to reduce poverty in Indonesia. This is also because there has been no previous Indonesian research involving the four variables with data from 2010 to 2020. This study used quantitative methods to determine the impact of DI, FI and MSMEs on the magnitude of poverty. Data combining time series and cross-section data is analyzed using the least square panel method. The results of the study showed that poverty would decrease when there is an increase in domestic investment, an increase in foreign investment, and an increase in the number of micro, small and medium-sized enterprises in Indonesia.