Prediction of Local Government Revenue using Data Mining Method

Local Government Revenue or commonly abbreviated as PAD is part of regional income which is a source of regional financing used to finance the running of government in a regional government. Each local government must plan Local Government Revenue for the coming year so that a forecasting method is needed to determine the Local Government Revenue value for the coming year. This study discusses several methods for predicting Local Government Revenue by using data on the realization of Local Government Revenue in the previous years. This study proposes three methods for forecasting local Government revenue. The three methods used in this research are Multiple Linear Regression, Artificial Neural Network, and Deep Learning. In this study, the data used is Local Revenue data from 2010 to 2020. The research was conducted using RapidMiner software and the CRISP-DM framework. The tests carried out showed an RMSE value of 97 billion when using the Multiple Linear Regression method and R2 of 0,942, the ANN method shows an RMSE value of 135 billion and R2 of 0.911, and the Deep Learning method shows the RMSE value of 104 billion and R2 of 0.846. This study shows that for the prediction of Local Government Revenue, the Multiple Linear Regression method is better than the ANN or Deep Learning method. Keywords— Local Government Revenue, Multiple Linear Regression, Artificial Neural Network, Deep Learning, Coefficient of Determination

Effect of institutional context and finance context of housing finance on home ownership among low-income earners in Bauchi

Purpose The purpose of this paper is to evaluate the effects of housing finance institutional and financial context on beneficiaries’ context to low income earners in Bauchi Local Government Area, Bauchi, Nigeria Design/methodology/approach This paper adopted a quantitative research approach. Self-administered structured questionnaires were used to collect information from 357 primary school teachers in Bauchi Local Government Area, Bauchi, Nigeria. Partial least squares-structural equation modeling was used to analyze the data collected using SmartPLS 2 software Findings This study revealed that effectiveness of financial institutions and their performance has significant positive causal effect on low income earners housing ownership context, which shows that performance and effectiveness of the housing finance institutions is vital to housing ownership for the low income earners in the study area. Thus, performance of housing finance institutions and their effectiveness has direct effects on low income earners housing ownership through finance affordability Practical implications The prime consumer of these research findings are the financial institutions, this will make them bulk up in terms of their performance and effectiveness toward housing finance accessibility and affordability to the low income earners such as the primary school teachers in the study area. Originality/value This paper used the technology organization environment theory, which is a multi-perspective theory to evaluate the concepts of institutional, finance and beneficiaries context with respect to housing finance in Bauchi by conceptualizing institutional context as effectiveness and performance, finance context as affordability and accessibility and beneficiaries context as ownership.

Political Conflict between the DKI Jakarta Governor and DPRD in the 2015 APBD Determination Process

The purpose of this study is to describe the political conflict between the DKI Jakarta Governor and the Regional People's Representative Assembly (DPRD) in the 2015 APBD Determination Process. The design method used is a qualitative case study. The research was carried out in DKI Jakarta in 2015. Primary data were obtained from various documents related to implementing the Healthy Jakarta program held by the DKI Jakarta governor and deputy governor in 2013 through interviews about the object under study. The research object is the Political Conflict between the DKI Jakarta Governor and DPRD in the 2015 Regional Revenue and Expenditure Budget (APBD) Determination Process. Observation, interviews, and documentation carried out data collection techniques. The data analysis process began by examining all available data from various sources such as interviews, observations that have been written in field notes, documents, pictures, photos, Etc. After reading, studying, and reviewing, the next step was reducing the data by doing abstractions (making the core summary, processes, and statements that need to be provided) arranged in units. Then, the units were categorized while coding. The results showed that divided local government occurring in DKI Jakarta is the leading cause of conflict between the DKI Jakarta Governor and DPRD. It shows that the divided local government triggers prolonged conflicts between the Governor and DPRD. The impact of political conflict between the DKI Jakarta Governor and DPRD has disrupted the government path in DKI Jakarta Province. It started from the delay in discussing and determining the 2015 Draft of Revenue and Expenditure Budget (RAPBD), the planned transportation megaproject, specifically the Mass Rapid Transit (MRT) development project, and budget absorption in the 2014 DKI Jakarta APBD are getting lower.

Tracking a Circular Economy Transition Through Jobs: Method Development and Application in Two Cities

The methodology presented in this paper produces a circular economy jobs (CE jobs) measure. Using jobs as a proxy indicator, these measure gives cities a robust number to indicate progress toward the circular economy and is designed to serve as a first step in developing a circular economy strategy. The CE jobs measure tracks the inputs and outputs of goods in a city's “boundaries” through the material import dependency of the city's economic sectors. At the same time, tracking and assessing the circularity of the local jobs in these economic sectors will also provide city leaders with an indication of which sectors circularity is happening and could potentially happen. This paper also concludes that the process of coming to the CE jobs has two parts, the first more relevant to the local government and the second better influenced by the national government. Both need to come together for a truly circular local economy to happen.

Determining Factors of Fraud in Local Government

The objectives of this research are to analyze determining factors of fraud in local government. This study used internal control effectiveness, compliance with accounting rules, compensation compliance, and unethical behavior as an independent variable, while fraud as the dependent variable. The research was conducted at Bantul local government (OPD). The sample of this research were 86 respondents. The sample uses a purposive sampling method. The respondent data is analyzed with multiple linear regression. The results showed: Internal control effectiveness has an impact on fraud. Compliance with accounting rules does not affect fraud. Compensations compliance does not affect fraud. Unethical behavior has an impact on fraud.

Identifying stakeholders’ perspectives on the success factors of halal tourism in the city of Makassar: a group model building approach

Purpose Islamic attributes and activities need to be developed in compliance with the halal concept to attract potential Muslim tourists and ensure the success of halal tourism. Although the literature shows that many factors can influence the success of halal tourism, a complete picture of the success factors of halal tourism in a city is still very limited. As such, this explorative study aims to examine stakeholders’ perspectives regarding the antecedents of halal tourism success and the benefits of halal tourism for the city. Design/methodology/approach Qualitative system dynamics modeling was used for this study, and Makassar (a successful halal tourism city) was considered as the basis for the study. A causal loop diagram (CLD) of halal tourism was developed using the group model building technique to elicit stakeholders’ knowledge and assumptions. Network analysis and feedback loop analysis were used to identify the driving factors of successful halal tourism. Findings Two factors need to be taken into account by halal tourism stakeholders in the city: support from the central and local government and improving and maintaining potential tourists’ perceptions of the city. There are four benefits of halal tourism success for the city: an increase in the number of micro-, small- and medium-sized halal businesses in the city, increased support from the central and local government to further develop halal tourism infrastructure in the city, increased word-of-mouth promotion of Makassar as a tourism destination and a decrease in the price of halal tourism components (e.g. food and accommodation). Originality/value The resulting CLD shows the interlinkage between political, societal and economical factors that could influence the success of halal tourism development. In particular, the findings show how governments and tourism stakeholders need to promote halal tourism socialization in the community and improve the public perception of this type of tourism. Therefore, the findings can help destination stakeholders and tourism developers in other cities develop halal tourism potential.