Serang is one regency in Banten Province which is located near to Jabodetabek, the largest metropolitan area in Indonesia. The economic growth at its periphery has a negative impact on the decreasing of rice field in the regency. Objectives of this research are: (1) to analyze decreasing of rice field in Serang Regency from 2006 to 2018 and to project land-use change in 2030, and (2) to identify spatial distribution pattern of rice field in Serang Regency. Land-use change was conducted by ArcGIS10.3 using Landsat images. Identification of spatial distribution pattern of rice field was conducted by Moran and LISA (Local Indicator of Spatial Autocorrelation). Meanwhile, land-use change projection was conducted using CA-Markov. Results show that during 2006-2018 there has been an increase of built-up area (7,295 hectares) and decreasing of rice field from 60,949 hectares to 54,232 hectares. A larger decreasing rice field occurred at districts located at the eastern part of Serang Regency. The result of land-use change projection shows the increase of built-up area and rice field conversion in Serang Regency in 2030. Decreasing rice field in the long term may threaten food security at the local and regional level.

Tujuan penelitian ini yaitu untuk mengetahui bagaimana 1) pengaruh DER terhadap return saham, 2) pengaruh NPM terhadap return saham, dan 3) pengaruh PER terhadap return saham. Berdasarkan analisis terhadap laporan keuangan sektor property and real estate yang terdaftar di Bursa Efek Indonesia diketahui fenomena pada PT. Alam Sutera Reality Tbk total utang ditahun 2016-2017 mengalami penurunan tetapi pengembalian sahamnya juga mengalami penurunan. Pada PT. Agung Podomoro Land Tbk laba bersih di tahun 2014-2015 mengalami kenaikan tetapi pengembalian sahamnya mengalami penurunan. Pada PT. Jaya Real Property Tbk harga saham di tahun 2016-2017 mengalami kenaikan tetapi pengembalian sahamnya mengalami penurunan. Metode yang digunakan yaitu metode penelitian kuantitatif, jenis penelitian ialah statistik deskriptif dan sifat penelitian ini ialah eksplanatif. Populasi penelitian sebanyak 48 perusahaan dan diperoleh sebanyak 26 perusahaan dengan metode purposive sampling. Teknik analisis data yang digunakan yaitu analisis regresi linier berganda. Hasil uji F menunjukkan bahwa secara simultan variabel independen DER, NPM dan PER berpengaruh positif dan signifikan terhadap return saham. Hasil uji t menunjukkan bahwa secara parsial: 1) DER tidak berpengaruh signifikan terhadap return saham, 2) NPM berpengaruh positif dan signifikan terhadap return saham, dan 3) PER berpengaruh positif dan signifikan terhadap return saham.

The purpose of this study is to examine and analyze the effect of Corporate Social Responsibility Disclosure on company profitability in plantation subsector companies that listed on the Indonesia Stock Exchange on 2016-2018. This research is a type of quantitative research that using secondary data, namely the annual report of the plantation subsector company 2016-2018. Independent variable that used in this research is CSR Disclosure which is measured using CSRDI and the dependent variable is company profitability which is proxied by the ratio of ROA, ROE, and NPM. The results show that CSR Disclosure have the positive and significant effect on ROA with a significance value of 0.012, ROE of 0.035, and NPM of 0.028. The results of this study indicate that empirically disclosing CSR activities in plantation subsector companies will increase company profitability.  Keywords: CSR Disclosure, NPM, ROA, ROE.

<p class="ISI-Paragraf">Jabodetabek and Bandung Raya metropolitan region experienced an urban expansion phenomenon that caused the two metropolitan regions to become increasingly connected by a corridor and form a mega-urban region caused by the conurbation process. Purwakarta regency is one of the regions in Jakarta-Bandung corridor that experienced the impact of Jakarta-Bandung conurbation process. This study aims to analyze the level of regional development, to analyze land cover change that occurred, and to predict Purwakarta Regency land use/land cover in 2030. Regional development analysis is done by using the Scalogram method based on Potential Village data of year 2003 and 2014. Land cover change analysis is done through spatial analysis by overlaying land cover Landsat Satellite Image of year 2000 and 2015. Land use/land cover prediction in 2030 is conducted through spatial modelling of Cellular Automata Markov method. Purwakarta Regency experienced an increase in regional development within the period of 11 years (2003 to 2014), which is marked by a decrease in the percentage of the number of villages that are in hierarchy III and increase in the percentage of the number of villages that are in hierarchy II and I. In general, within 15 years (2000 to 2015) Purwakarta Regency has increasing number of built-up area and mixed gardens, meanwhile dry land, forest, paddy field, and water bodies tend to decrease. The results of CA Markov analysis show that the built-up area is predicted to continue to increase from 2000 to 2030, meanwhile paddy fields and water bodies will continue to decrease.</p>

Although uneven regional development has long been an issue in Java, most parts of the territory experienced an increased level of development over the last two decades. Due to the variance in local background and spatial heterogeneity, the driving factors of the development level should, theoretically, vary over space. Therefore, in this study, we aim to investigate the local factors that influence the development level of Java’s regions. We used the spatiotemporal pattern analysis, ordinary least squares (OLS) regression, and geographically weighted regression (GWR), utilizing the regional development index as the predicted variable, and the social level, economy, infrastructure, land use, and environmental barriers as predictors. As per our results, it was found that the level of development in Java has improved over the past two decades. Metropolitan areas continued to lead this improvement. All the predictors that we examined significantly affected regional development. However, the spatial pattern of the local regression coefficients of Human Development Index (HDI), landslide, paddy conversion, and crime shifted due to changes in the spatial concentration of development activities.