This study aims to prove empirically the impact of village fund program implementation towards society welfare in indonesia. The independent variable in this study is the amount of village funds in all provinces in Indonesia. While the dependent variable in this study is the level of welfare of the people in Indonesia. The sample used in the study was all provinces in Indonesia that received village funds from 2015 to 2017. The data used in this study was obtained from secondary data published by the Supreme Audit Agency and the Central Statistics Agency. The analysis tool that will be used is the analysis of Simple Linear Regression using the SPSS program (Statistical Package for Social Science) Version 20. The results in this study indicate that the village fund program influences the level of welfare of the society in Indonesia.
Fraud is a form of unlawful act in that is deliberately carried out by individuals/groups in order to get benefits and cause other parties to suffer. One form of fraud is corruption, which harms the state. There are several factors that can influence Fraud actions, including the government's internal control system and organizational commitment. This study aims to determine the influence of the government's internal control system and the organization's commitment to Fraud in the Regional Financial and Asset Management Agency of South Sumatra. This research is a quantitative research that uses primary data as its source. The study method is a survey qualification by distributing questionnaires to 69 respondents of Regional Revenue, Financial Management and Assets Agency of South Sumatra Province employee. The data were analyzed by multiple linear regression using IBM SPSS Statistics 26. The results of the study found that the government's internal control system and organizational commitment had a positive effect on the Fraud.
A group decision support system (GDSS) model was created in this study by implementing the weighted product (WP) method and the borda method to determine prospective assistant or supervisor lecturers for student creativity programs (PKMs) that are routinely carried out every year at the Sriwijaya State Polytechnic. This study applies 5 criteria, including i) education level, ii) academic position, iii) group tenure, iv) lecturer certification, and v) achievement in the field of three pillars of higher education. The decision-makers in this study consisted of the head of the department (DM–1), the secretary of the department (DM–2), and the head of the study program (DM–3) where they carried out the decision-making process in groups. The WP method is used to make preferences independently of the decision-makers to determine the best alternative based on predetermined criteria. The borda method is currently used to aggregate the decision-makers to obtain the final result in the form of an alternative ranking. The results of this study are sufficient to be used as a reference in determining the supervisor lecturer for PKM activities at the Department of Computer Engineering, State Polytechnic of Sriwijaya.
Micro, Small and Medium Enterprises (MSMEs) Sentosa Palembang process and sell various pempek. As a business that carries out production activities, Sentosa MSMEs require calculating the Cost of Goods Produced (COGS) which is the basis for determining the selling price. This has not been done by MSMEs Pempek Sentosa. So far, business owners determine production costs using only estimates so that they have not reflected the proper conditions. For this reason, counseling and assistance in determining COGS in MSMEs are carried out. With this activity, business owners can find out the costs incurred for making pempek so that the selling price and the desired profit achievement are measured.
In this study, the researchers developed a multidimensional data model to investigate the activities of lecturers in universities in carrying out research activities as part of the Three Pillars of Higher Education. Information about lecturers' research activities has been managed using spreadsheet (excel) documents. Thus, access and analysis of the information were limited. Data warehouse development was carried out through several stages, namely requirement analysis, data source analysis, multidimensional modeling, ETL process, and reporting. The information generated in this data warehouse (DW) can be used as one of the business intelligence (BI) models in universities. In this study, the star-schema model was used in designing dimension tables and fact tables to facilitate and speed up the query process. The information generated in this study can be used by management in universities to make decisions and strategic planning. The results of this study can also be used as one of the important information in the preparation of institutional accreditation data and study program accreditation. Keywords-Data warehouse (DW); star-schema; multidimensional data; business intelligence (BI) I. INTRODUCTIONLecturers as one of the intellectual assets in higher education have one of the activities that are part of the Three Pillars of Higher Education, namely carrying out research and community service. Every year there is a lot of funding to carry out research and community service activities. This funding source comes from the ministries of education, culture, research, and technology, as well as from local governments, and internal universities.This research and community service information is used as one of the assessment criteria in the preparation of study program accreditation instruments and university accreditation. Currently, at Politeknik Negeri Sriwijaya, research data and community service are documented at the Research and Community Service Center (Pusat Penelitian dan Pengabdian kepada Masyarakat abbreviated as P3M) Politeknik Negeri Sriwijaya, in the form of spreadsheet (excel) file data, without being further managed into useful information for upper management in the decision-making process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.