Government Targets Research Articles

Collaboration Strategy By Design To Achieve Slum Area Reduction Target

This paper presents a model of collaboration strategy "by design" implemented by the Program Kota Tanpa Kumuh (Kotaku) in Kepulauan Riau Province. This strategy is not only limited to cooperation in the implementation of programs or activities. But more than that, it starts from strengthening government institutions as "captain" in program implementation, which then produces policies, planning and budgeting that supporting the program. This collaboration model has succeeded in significantly reducing the area of slums to support the achievement of the government's target for reducing the area of slums in the 2015-2019 and 2020-2024 RPJMN.

Strategi Peningkatan Kinerja Pemerintah Kota Batam: Peningkatan Kesadaran Masyarakat Untuk Membayar Pajak Bumi Dan Bangunan


 
 
 
 Tax is a mandatory assessment imposed on the people for the benefit of the state. Taxes serve as a tool to fund government expenditures, such as building projects and civil servant salaries. The purpose of this research is to show the barriers that prevent individuals from paying their taxes and uncover the tactics that the Batam City government uses to increase taxpayer awareness. Qualitative descriptive method was adopted in this investigation. Interviews and observations are used as data collection techniques. Researchers used a triangulation technique, a multi-method approach to data collection and analysis. The findings of this study indicate that Batam City's tax collection that does not reach the government's target is caused by a combination of non-compliance. by taxpayers and a complicated tax system that is difficult for the general public to understand.
 
 
 

Fuzzy C-Means for Regional Clustering in East Java Province Based on Human Development Index Indicators

The Human Development Index (HDI) is the UN's key metric for gauging human advancement within a country, blending vital elements like per capita income, life expectancy, and education. In Indonesia, the HDI assesses societal well-being, with East Java's HDI lagging behind national and governmental targets despite mitigation efforts. To address this, the study utilizes Fuzzy C-Means clustering to classify East Java's regions based on HDI indicators, revealing five optimal groups via pseudo-F-statistic analysis. One-way MANOVA confirms variations among these groups, while One-Way ANOVA validates the significance of the four HDI indicators in categorization. The HDI-based categorization denotes Group 3 as high-status, Group 1 as low-status, Group 2 as moderately high-status, Group 4 as moderate, and Group 5 as moderately low-status. Consequently, it's advised that the government concentrates on improving low-HDI groups to uplift East Java's populace. This research can serve as a cornerstone for policymakers and stakeholders in their efforts to enhance the HDI in this region.

Paths to low-carbon development in China: The role of government environmental target constraints

Research background: To achieve the targets for carbon peak and air quality improvement, local governments should propose environmental targets and develop realization paths that are tailored to their unique local conditions. They then promote low-carbon development through the implementation of multiple measures. Purpose of the article: As the government performance appraisal system im-proves, the question arises as to whether governments take the initiative to com-bine environmental policies with government target constraints to reduce carbon emissions. Methods: The announcement of environmental target constraints by local governments in government work reports is considered a quasi-natural experiment. This study examines the effect of government environmental target constraints (GETC) on carbon emissions (CEs) using differences-in-differences (DID), propensity score matching-DID (PSM-DID), and spatial-DID (SDID) with data from 241 Chinese cities from 2003 to 2019. Findings & value added: The results demonstrate that GETC can effectively reduce local CEs, with the inhibitory effect being most effective in the first two years after setting environmental targets, but diminishing in the third year. GETC can reduce local CEs through three paths: reducing energy consumption, promoting industrial structure optimization, and encouraging green technology innovation. Spatial spillover effects show that GETC reduces local CEs while exacerbating CEs in neighboring cities, indicating a beggar-thy-neighbor effect in conventional environmental regulation policy. This effect is observed mainly in the geographic matrix and the economic-geographic matrix, but not in the economic matrix. According to heterogeneity analysis, GETC in the eastern and central cities can significantly reduce CEs. The inhibitory effect of GETC on local CEs is stronger in cities where secretaries and mayors have longer tenures and higher levels of education. The paper's theoretical value lies in exploring the reduction of CEs through the combination of government self-restraint and environmental policies, providing a new solution for local governments to achieve CEs reduction. Furthermore, it offers practical insights into the improvement of the Chinese government assessment system.

Analysis of the completeness of specific nutritional interventions as an effort to prevent stunting: an observational study

ABSTRACT Introduction: Handling stunting through nutritional interventions is classified into two categories: specific nutrition interventions and sensitive nutrition intervention. Specific nutrition interventions referring to causal factors directly related to nutrition, aimed at pregnant women and breastfeeding mothers, are the responsibility of the health sector, contributing 30%. The completeness of specific nutritional interventions for breastfeeding mothers according to standards are more challenging. The purpose of this study is to analyze several factors that influence the completeness of specific nutritional interventions in breastfeeding mothers to create prediction models. Methods: This was a quantitative study with a cross sectional design. The population was all breastfeeding mothers with a total of 193 nursing mothers. Samples of 128 people were taken using a simple random sampling technique. Data analysis using univariate analysis, bivariate analysis with Chi square analysis and Multivariate analysis with logistic regression analysis. Result: In bivariate analysis there were 8 influencing variables. The Mother’s education with p=0.006, Mother’s knowledge with p=0.001, Mother’s Attitudes with p=0.001, Mother’s Job with a p=0.001, Parity with p=0.001, Husband's Support with p=0.001, Health Workers’ Support with p=0.001, Village Officials’ Support with p=0.001. The most influential variable was the health workers’ support variable with OR=20.56. Through multivariate analysis, a predictive model of achieving completeness of specific nutritional interventions is produced so that it can be used as a preventive effort in overcoming these problems. Conclusion: The completeness of specific nutritional interventions for breastfeeding mothers has not been achieved according to the government's target, it is necessary to intervene on the factors that influence it which include mother’s knowledge, mother’s attitude, husband’s support, health workers’ support and village apparatus’ support.Keyword : Stunting, nutritional support, specific intervention

Some Issues Regarding the New Rural Development Program in Vietnam

The research focuses on presenting and analyzing several key concepts related to the New Rural Development Program in Vietnam. The presentation begins by defining crucial terms such as rural and new rural in Vietnam. Additionally, the article outlines the legal foundations and the government's target programs for building new rural areas, while discussing the necessity of constructing new rural areas in the current developmental context. This is a detailed and comprehensive article, offering readers an overview of the history and content of this program in enhancing the quality of life in rural Vietnam.

Strategi Persaingan Industri Dan Peran Kekuatan Pasar Terhadap Pertumbuhan Ekonomi

Indonesia's economic growth is running quite well as the predictions from the World Bank which estimates an increase in the Indonesian economy of 5.1% in 2016 and 5.3% in 2017, the figure is an improvement from 4.8% in 2015 (The World Bank). Projections made by the World Bank have differences from the Indonesian government's target, according to Finance Minister Bambang Brodjonegoro, the government will keep economic growth at 5.3%.

Influence of local governments on the greening of the manufacturing sector: A perspective on environmental governance objectives

The green development of manufacturing industries is significantly impacted by local governments. In this study, we focus on assessing the environmental governance effectiveness by examining the tasks assigned by the central government to each province under the Comprehensive Work Program for Energy Conservation and Emission Reduction. By utilizing panel data from 30 provinces and cities in China from 2011 to 2020, we employ the super-efficient SBM model to evaluate China's manufacturing industry's green total factor productivity. Through various models, including the double-fixed effect and the mediation effect, we investigate the influence of environmental governance targets on the green total factor productivity of the manufacturing industry. Our findings reveal a U-shaped relationship between the environmental governance target and the green total factor productivity of the manufacturing industry. When the pressure of environmental governance targets is below a certain critical value, the green total factor productivity decreases as the target pressure increases. However, once the target pressure surpasses this critical value, the green total factor productivity experiences a positive correlation with the target pressure. Further analysis demonstrates that this U-shaped relationship is observed in regions with low and medium marketization, while regions with high marketization remain unaffected. Moreover, the impact of environmental governance target pressure on green total factor productivity in manufacturing is facilitated by the promotion of green innovation. Furthermore, the relationship between environmental governance target pressure and green total factor productivity in manufacturing is moderated by local government fiscal expenditures. In regions where fiscal expenditures are higher, the influence of environmental governance target pressure on green total factor productivity in manufacturing is more pronounced.

Transformation of Local Government Technical Management Unit Waste Management Implements Regional Public Service Agency to Overcome Waste Problems in Indonesia

Financing in local governments is an important point in dealing with the waste problem in Indonesia. Converting waste into goods or materials that can be used in other forms is a solution to the waste problem. At the Bagendung Cilegon TPSA, waste can be processed into solid jumputan fuel which is a companion fuel to coal, of course this process requires quite a lot of capital and operational costs, while regional budget funding will not be sufficient. So it requires a financing scheme outside the regional budget but still one chain of command of the regional government, the Regional Public Service Agency (BLUD) which is the best choice to overcome financing problems in the region. By implementing flexible BLUD, you can overcome various problems at UPTD related to financial governance, one of which is financing. In the UPTD transformation to implement BLUD, there are several requirements that must be met, namely: substantive requirements, technical requirements and administrative requirements. These three conditions must be met which will then be reviewed by the regional government assessment team. In this research, it was conducted qualitatively, using primary and secondary data, obtained by in-depth interviews and data collection and documents, there were 8 informants from the regional government, environmental services and UPTD TPSA Bagendung, Cilegon city. The aim of this research is to understand the process of transforming UPTD into UPTD BLUD, how to fulfill all requirements and understand the commitment of all relevant stack holders to changes in BLUD policy. UPTD BLUD will have a lot of flexibility in managing revenue so that it is hoped that TPSA waste processing operations can run according to government targets. In the formation of BLUDs, there is autonomous regional government participation and policy which greatly influences whether or not BLUDs are formed in a region. Commitment and understanding of BLUDs is very important so that harmonization occurs in all lines of regional government

Pendekatan Program Mother Smart Grounding (MSG) dalam Pencegahan Stunting pada Anak dan Modifikasi Makanan Sehat

The stunting rate in Indonesia is 21.6%. This figure is based on the results of the 2022 Indonesian Nutrition Status Survey (SSGI), the stunting rate decreased by 2.8% from 2021, while the government's target for 2024 is that the stunting rate in Indonesia is 14%, for this reason the government has made various efforts to meet the target. 2024. Based on data from the Jambi Provincial Health Service in 2018, for Jambi Province, the stunting prevalence rate was 30.1% with the highest percentage of stunting found in West Tanjung Jabung Regency (44%) and the lowest in Sarolangun Regency 18.8%, for Jambi City the figure Stunting incidence 26.2%. Catfish has important nutritional benefits in preventing stunting in toddlers. Apart from catfish containing high nutritional value, catfish is a type of fish that is easy to find and cheap. So the consumption of catfish is an effort to overcome stunting in toddlers that can be reached by both upper and lower classes of society. Apart from that, in efforts to overcome stunting, the community needs to be given an understanding of the importance of nutrition for toddlers and early childhood, namely by providing education to mothers of toddlers and early childhood with the Mother Smart Grounding (MSG) program at Mukti Tama Kindergarten, Jambi City, targeting mothers. Teachers of Mukti Tama Kindergarten students. Activities are carried out by: Lectures, Visual Presentations, group discussions. Results: an increase in the average knowledge of mothers and parents of Mukti Tama KB Kindergarten children with an average of 2.0. Conclusion: Most of the participants, 85%, responded very well to the material provided. There needs to be continuous health education activities in coordination between kindergartens and health workers holding the KIA program in the PKM Simpang Kawat work area.

THE WAYS OF INTRODUCING AI/ML-BASED PREDICTION METHODS FOR THE IMPROVEMENT OF THE SYSTEM OF GOVERNMENT SOCIO-ECONOMIC ADMINISTRATION IN UKRAINE

The objective of the article is to develop and test in practice a mechanism for constructing AI/ML-based predictions, adapted for use in the system of government socio-economic administration in Ukraine. Research design is represented by several methods like qualitative analysis in order to identify potential benefits of AI use in different spheres of government administration, synthesis to generate new datasets for the experiment, and abstraction to abstract from the current situation in Ukraine, population displacement, uneven statistics reporting. Among empirical methods are prediction and experimental methods to construct a mechanism for the implementation of AI/ML prediction methods in public administration, develop a high-level architecture of the AI/ML prediction system, and create and train the COVID-19 prediction neuron network. A holistic vision of the AI/ML-based prediction construction mechanism, depending on data taken from state official online platforms, is presented, in addition, the ways of its possible practical application for the improvement of the national system of state socio-economic administration are described. The main condition and guarantee of obtaining accurate results is access to quality data through platforms such as Diia, HELSI, national education platforms, government banks, etc. The findings of the research suggest that wide implementation of AI/ML-based prediction technologies will allow the government in perspective to increase the efficiency of the use of budgetary resources, the effectiveness of the government target programs, improve the quality of public administration and to better satisfy the citizens’ demand. Future studies should be done to overcome the limitations of the approach: find a way to protect and extract sensitive information from government platforms, fight neural network bias, and create a more perfect system that is able to make multiparameter predictions and is also self-improving on the basis of the obtained results.

Perancangan Sistem Pengelolaan Sampah dengan Metode Material Flow Analysis (MFA) (Studi Kasus: Kota Tasikmalaya)

This study concerns the design of a waste management system using the Material Flow Analysis (MFA) method in the city of Tasikmalaya. TPA Ciangir is the only landfill in Tasikmalaya, and its storage capacity has reached its maximum, necessitating improvements in waste management. The aim of this design is to determine an appropriate waste management system that can be implemented in Tasikmalaya. Based on observations and interviews, waste collection at TPA Ciangir in Tasikmalaya is conducted in small amounts, leading to a significant amount of household waste not being collected daily, resulting in waste accumulation and minimal transport to waste processing facilities. According to Permen PU Number 3 of 2013 and SNI 19-2454-2002, waste collection from the source should be conducted at least once every two days. Therefore, an evaluation and redesign of the waste management system based on technical aspects are needed. The best system selection will be carried out using the Analytical Hierarchy Process (AHP) method, which will then be recommended for application at TPA Ciangir in Tasikmalaya. Based on the calculations using the AHP method, scenario 3 scored the highest, at 1.676, using composting processes, RDF, and TPST-3R. From the design results, a total waste reduction of 81% was achieved, aligning with the government's target of a 70% waste reduction by 2020.

Identification of the Snail Oncomelania hupensis Lindoensis as Schistotomiasi Host Using CNN

Schistosomiasis is declared by the World Health Organization as a neglected tropical disease. In Indonesia, schistosomiasis is endemic in three regions of Central Sulawesi. In 2022, the schistosomiasis prevalence rate in humans was 1.44%, far from the government's target of 0% prevalence in humans, snails, and mammals by 2025. The role of technology is to identify O.hupensis Lindoensis snails as schistosomiasis hosts among snails in schistosomiasis endemic areas. This system can make it easier for people to recognize O.hupensis Lindoensis snails and can speed up the identification process and reduce survey costs for officers. The identification system is made with digital image processing techniques using the CNN algorithm with Mobile Net architecture. Model updating in the form of 4 classes with 1200 image data. The results of training accuracy of 93% and validation accuracy of 87% were obtained. The training loss function is 0.17, and the validation loss is 0.33

Altman Z-Score Analysis Model On Potential Bankruptcy At PT Permodalan Nasional Madani In 2017-2021

The rapid development of the business world makes company management need to develop a company plan or strategy in order to achieve its goals and the company is able to move quickly to anticipate existing changes. The government's target to increase the number of NoA to 20 million customers in 2024 is not easy. This study aims to determine the value of financial ratios and prove the results of the Altman Z-Score Analysis Model on the potential bankruptcy of PT Permodalan Nasional Madani. This study used a quantitative descriptive approach using Altman Z-Score Modification calculation. The analysis used is the Financial Statements of PT. Permodalan Nasional Madani with samples of Financial Statements from 2017-2021. Data collection techniques are carried out by collecting data based on past data and conducting literature studies by searching library sources. The results showed that there was no potential for bankruptcy in PT Permodalan Nasional Madani based on the analysis of the altman Z-Score from 2017-2021

What impact would reducing low-acuity attendance have on emergency department length of stay? A discrete event simulation modelling study

BackgroundLong waiting times in the ED have been shown to cause negative outcomes for patients. This study aims to assess the effect in reducing length of stay of (1) preventing...

Literature review: The effect of environmental arrangement on malaria incidence in dry tropical climate areas in NTT

"Indonesia Bebas Malaria 2030" is the Indonesian government's target proclaimed by the Indonesian Ministry of Health at this time. This set target is inversely proportional to several discoveries found in eastern Indonesia, especially East Nusa Tenggara. For example, in 2022 in Sikka Regency, there will be an increase in malaria cases reaching 55 people. Based on research conducted in Africa, it is known that the treatment of malaria can not only be overcome by medication but by improving the physical environment such as housing and the surrounding environment. Therefore, an article search was carried out in several reputable journals for the past ten years to determine the influence of external and internal environmental settings on the incidence of malaria, especially in the East Nusa Tenggara region. From the search that has been done, it is known that environmental factors provide and biological factors are the factors that most influence the thermal characteristics of the incidence of malaria in NTT.

Sosialisasi Pencegahan Stunting di Kampung Reremal Melalui Rumusan Kebijakan Publik

Stunting is a condition that disrupts the growth of children under the age of five. Stunting can be caused by factors such as the phase of pregnancy, unmet nutritional needs, and the child's health condition. Based on the nutritional status survey of the Indonesian Minister of Health in 2022, the prevalence of stunting in toddlers is 21.6%. The government targets reducing the prevalence of stunting to 14% by 2025 by involving various parties in efforts to reduce the prevalence of stunting. Students carry out community service by implementing the knowledge they have in their scientific field. The method used to achieve the objectives in this service is carried out through stages: document review, focus group discussions, interviews, submission of policy recommendation documents, and socialization. This service concludes that the aim of the service was achieved, namely providing policy recommendations and also conducting socialization. as a form of application of student knowledge in preventing stunting cases in Reremal village.

Climate change energy futures in business, industry and mining in Saskatchewan, Canada

PurposeThis study aims to report business preferences for achieving net-zero power production emissions in Saskatchewan, Canada as well as business perceptions of the most preferable power production sources, barriers to change and suggestions for improvement. Mixed methods included focus groups and a survey with experimental design. This research demonstrates that this method of advancing academic and business knowledge systems can engender a paradigmatic shift to decarbonization.Design/methodology/approachThe study is a mixed-methods study using five focus groups and a survey which included a 15-min information video providing more information on power production sources (small modular reactors and biomass). Participants requested more information on these topics in the initial three focus groups.FindingsThere is a significant gap in Canadian Government targets for net-zero emissions by 2050 and businesses’ plans. Communications, knowledge and capacity gaps identified include lack of regulatory requirements, institutional barriers (including a capacity charge in the event a business chooses to self-generate with a cleaner source) and multi-level governance dissonance. More cooperation between provincial governments and the federal government was identified by participants as a requirement for achieving targets. Providing information to survey respondents increased support for clean and renewable sources, but gender and knowledge are still important characteristics contributing to support for different power production sources. Scientists and teachers were the most trusted sources of information. Power generated from small modular nuclear reactors was identified as the primary future source of power production followed by solar, wind and natural gas. Research results also confirmed the high level of support for hydropower generated in Saskatchewan versus import from Manitoba based on high values of energy solidarity and security within the province.Originality/valueThis study is original, as it concerns upstream system power production portfolios and not failed projects; the mixed-method research design including a focus group and an experimental survey is novel. This research partially addresses a gap in knowledge surrounding which knowledge systems advance paradigmatic shifts and how and whether involving business people in upstream power production decisions can inform decarbonization.

How do local government fiscal revenue targets affect green technology innovation in China?

ABSTRACT The process of economic development in China cannot be separated from the ‘shadow’ of government target intervention. Under the Chinese system of fiscal decentralization, constraints created by local government fiscal revenue targets (CCFRTs) will have a series of influence on development economically and socially. Based on the fiscal revenue target data revealed in the government work reports of 281 prefecture-level cities in China from 2006 to 2019, this paper explores the influence of CCFRTs on green technology innovation (GTI). The findings are as follows: first, CCFRTs significantly inhibits GTI. Second, Spatial Durbin model analysis shows that CCFRTs has significant negative spatial spillover effect on GTI. Third, CCFRTs can affect GTI through the optimization of industrial structure, the level of human capital, and the degree of opening-up, technological progress and economic growth. Fourth, CCFRTs has an obvious threshold effect on GTI. Finally, the influence of CCFRTs on GTI has regional heterogeneity in central, eastern and western China. In the western and central regions, CCFRTs significantly restrains GTI significantly, while in the eastern region, CCFRTs significantly promotes GTI.

Risk Analysis and Management of Road Infrastructure Using A Single Year Funding System in The Mentawai Islands

Roads are the basic infrastructure that humans need most to be able to move from one place to another to meet their daily needs. According to the Central Statistics Agency, the Mentawai Islands area, the percentage of stable roads available in the Mentawai Islands is only around 10%, so that for Road infrastructure development in the Mentawai Islands is the main target for the local government. The funding system provided is mostly a single year funding system. Single year funding is defined as project activities where the work implementation period corresponds to or is equal to one budget year. The development of road infrastructure with a single year funding system in the Mentawai Islands will certainly not be without the name project risk. The aim of this research is to create risk management in road construction with a single year funding system in the Mentawai Islands. The interview method was conducted to informants. There are 15 risks identified for the Mentawai Islands Regency. The highest potential loss obtained from the contractor is the delay in the tender and the risk aggregate from the contractor is IDR. 40,300,000,000,- . The highest potential loss obtained from the owner is a natural disaster and the aggregate risk from the owner is Rp. 26,880,000,000,-. The highest potential loss that can be obtained from the contractor is the delay in the tender and the aggregate risk from the contractor is Rp. 40,300,000,000,- . The highest potential loss that can be obtained from the owner is a natural disaster and the aggregate risk from the owner is Rp. 26,880,000,000,-. The highest potential loss that can be obtained from the contractor is the delay in the tender and the aggregate risk from the contractor is Rp. 40,300,000,000,- . The highest potential loss that can be obtained from the owner is a natural disaster and the aggregate risk from the owner is Rp. 26,880,000,000,-.