The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

This paper conducts in-depth research and analysis on the construction of the public information product APP application platform of urban big media in the context of artificial intelligence and discusses its development. Based on the improvement of the SICAS model, a model of enterprise and user information interaction characteristics in the new media environment is constructed, and social network analysis and semantic analysis methods are used to research enterprise and user information interaction characteristics in the new media environment. The point degree centrality index is used to analyze forwarding and being forwarded behavior in information interaction, the intermediate centrality index is used to analyze following and being followed behavior, the proximity centrality index is used to analyze commenting and being commented behavior, the feature vector centrality index is used to analyze the cohesiveness of information interaction behavior, and the semantic keyword word is used to analyze the semantic keyword word in the research process. The results of the study show that the constructed model can analyze the information interaction behaviors of enterprises and users in the new media environment. The research results show that the constructed model can systematically analyze the information interaction characteristics, and the information interaction between enterprises and users in the new media environment is more timely, more effective, and more satisfying to users. The current situation of the construction of the public information platform and the problems existing in the construction are proposed to achieve the standardization of the construction of the public information platform in the context of smart city, the construction of the platform supervision system, and the strengthening of information security publicity and talent training. To offer a suitable platform and provide efficient solutions for the development of a public information service platform in the city, enhance the professional quality of research papers and dissertations, as well as the solutions’ operability. More public services will be provided in a highly connected way across the boundaries between government, enterprises, society, and citizens and even form a public service market that accepts autonomous choices and becomes an important part of the digital economy, thus finding a good balance between economic development and social welfare.

Penentuan Klaster Wilayah Kecamatan Berdasarkan Pusat Pelayanan Masyarakat di Wilayah Kepulauan Kabupaten Maluku Tengah Provinsi Maluku

The connectivity of a region is an indicator the growth of service centers. Community service is carried out with a team from PT. Maluku and North Maluku Regional Development Bank Central Maluku Branch during 2018. Data were collected in 18 districts in Central Maluku Regency through the Rapid Survey Method for regional potential and socio-economic dynamics of the community. Central Maluku Regency BPS data support 2018 is a complementary input in the centrality analysis. The data were processed using quantitative descriptive analysis using Guttman scale/Marshall Centrality Index and spatial analysis tools using ArcmapGIS 10.3.1 software, to obtain a map of the regional service center. Central Maluku Regency is an archipelago, having district clusters spread over Seram Island, Ambon, Lease Islands and Banda. The district cluster is divided into 4 regions with the highest level of regional service being in Amahei District (11.14) and the lowest in Nusa Laut (2.50). Economic growth in sub-districts in the archipelago experienced a positive trend, concentrated on Ambon Island and Banda Islands, while the Lease Islands centrality index was in the lower middle category.

Analysis the development of growth centers and hinterland areas in Bangka Regency, Indonesia

Purpose: This study aims to determine and analyze the development of growth centers and hinterland areas in Bangka Regency, Indonesia. Research Methodology: The analytical methods used are scalogram analysis, centrality index, gravity analysis, and GIS (Geographic Information System) methods. The type of data is quantitative data. The data source is secondarily obtained from BPS of Bangka Regency. Results: The results of the scalogram analysis and centrality index showed that Sungailiat District had the first order as the center of growth. The other seven districts, namely Belinyu, Merawang, Mendo Barat, Pemali, Riau Silip, Puding Besar, and Bakam are hinterland areas. Sungailiat District as the growth center has the strongest interaction value with the hinterland area, namely Pemali District, and the weakest interaction value with Bakam District. Limitations: This research uses the descriptive quantitative approach in its calculations using simple mathematical calculations. Further research is needed to find out how much influence it has on the region. Contributions: This study is to provide alternative inputs to the government of the Bangka Regency in formulating policy planning and decision-making regarding growth centers and hinterland areas.

Analisis Pusat Pertumbuhan Ekonomi Pada Tingkat Kecamatan di Kabupaten Asahan Sumatera Utara

One of the regional development strategies that became the focus of this research was the determination of the growth center. This study aims to find out the areas that are the growth in Asahan Regency and the highest relationship between spatial interactions between the growth centers and the hinterland. This analysisi tool used area scalogram, centrality index, and gravity index.. The results showed that the area that had a hierarchy with a high upward categorization as the center of growth was Kecamatan Kisaran Barat. Kisaran Barat as the growth center with the hinterland region which has the highest interaction value is the Kisaran Timur District, Air Joman District, and Pulo Bandring District.

Study of the service functions of health facilities in Yogyakarta Special Province

The provision of public service facilities in settlement and regional environments is the right of the community to support a decent life and livelihood also to improve the quality of life. Therefore, the availability of health facilities must be considered so that every Indonesian can obtain their right to health services. This study aims to analyze the availability of health service facilities and the service function of health facilities in Yogyakarta Special Province. As a differentiator with previous research, the researcher conducted a analyze comprehensively by combining analysis of the centrality index and the service function to determine the hierarchy of health service centers. The location of this research is in the Yogyakarta Special Province with the smallest area analysis unit is the sub-district. The results showed that the availability of low order goods health service facilities was generally fulfilled in all sub-districts of Yogyakarta Special Province. Cities are still areas of high concentration of health services, this is reinforced by the highest centrality index and hierarchy of health facilities in Yogyakarta City.

Square root stress-sum index for graphs

The stress of a vertex is a node centrality index, which has been introduced by Shimbel (1953). The stress of a vertex in a graph is the number of geodesics (shortest paths) passing through it. In this paper, we introduce a new topological index for graphs called square root stress sum index using stresses of vertices. Further, we establish some inequalities, prove some results and compute stress-sum index for some standard graphs.

Effects of dual networks on tax strategies: geography and transaction

This study investigates how a revenue-maximizing tax strategy of local and central governments incorporates dual networks, namely, an inter-firm transaction network and an inter-country geography network. We assume a two-stage game in which governments propose discriminatory tax levels for firms, whereas each firm has an incentive to invest in a country near the foreign branch office of its transaction partner. In our model, the centrality index of the Kronecker product of the two networks describes the interplay among the location choices and tax strategies in the equilibrium. A stronger linkage within each network generally increases demand for investment and in turn raises overall tax levels to exploit the high demand. Although more central firms in the inter-firm network are likely to be levied higher taxes because of their high demand for investment, firms in the highest tax bracket differ among countries depending on their geographical location. Finally, we show that a uniform tax in which firms are not discriminated and networks do not matter is the socially optimal tax, which incorporates all inter-country externalities. We also investigate decentralized tax strategies based on the rule of non-discriminatory (uniform) taxation and show, by comparing social welfare under discriminatory and uniform tax regimes, that restricting tax discrimination improves social welfare.

Within-field variability of plant and canopy traits of sugar beet and their relation to individual root mass during harvest

The present study reports on research results obtained in the years 2014–2015 on two sugar beet production plantations in Central Poland. The purpose of any production is to obtain homogeneous canopy with the plants of demanded morphological and qualitative traits. The aim of the research was the assessment of the range and scale of plant variability in sugar beet canopy and impact of investigated plant and canopy traits (number of days from sowing to emergence, development stage of plants in the juvenile period, the plant living area, the location centrality index) to the final root mass at harvest time. Variability of investigated plant and canopy traits was evaluated using the variation coefficient, while the impact of these traits on the final root mass was assessed using the analysis of multiple linear regression. The obtained results show that sugar beet canopy reveals large, within-field variability in the investigated traits. The established relationship between final root mass during harvest and the canopy traits indicates that to obtain a large final root mass of individual plants during harvest, the most important is fast and even plant emergence, as well as the rapid development of plants in the juvenile period. At both production plantations, the impact of the living area of individual plants on the final mass of their roots was significant. However, no significant effect of the location centrality index on plant living area and the final root mass was found.