Abstrak Jawa Tengah yang merupakan provinsi dengan jumlah penduduk terbesar ketiga di Indonesia, mempunyai tingkat kemiskinan sebesar 11,79% atau setara dengan jumlah penduduk miskin sebanyak 4,11 juta jiwa. Berdasarkan kondisi tersebut, penelitian ini bertujuan untuk mengetahui variabel yang paling signifikan mempengaruhi tingkat kemiskinan masyarakat di masing-masing Kota/Kabupaten di Provinsi Jawa Tengah dan menyederhanakan variabel-variabel yang saling berkorelasi mempengaruhi tingkat kemiskinan masyarakat yang ada di Kota/Kabupaten Provinsi Jawa Tengah menjadi kelompok variabel yang lebih kecil (faktor). Analisis yang digunakan adalah deskriptif kuantitatif dengan aplikasi SPSS berupa analisis faktor. Hasil penelitian menunjukkan variabel yang paling signifikan mempengaruhi tingkat kemiskinan masyarakat di masing-masing Kota/Kabupaten di Provinsi Jawa Tengah adalah banyaknya sekolah negeri. Dapat diketahui bahwa terbentuk 2 faktor dengan pemilihan eigenvalue > 1. Faktor yang terbentuk adalah Faktor 1, meliputi: pendidikan Tertinggi < SD; panjang akses jalan dikelola pemerintah; sekolah negeri; Banyaknya fasilitas kesehatan, dimana faktor tersebut dapat disebut sebagai faktor/kriteria Infrastruktur dan Pendidikan. Sedangkan Faktor 2, meliputi: persentase penduduk dengan keluhan kesehatan dan jumlah kepemilikan jamkesmas, dimana faktor tersebut dapat disebut sebagai faktor/kriteria Kesehatan. Kedua faktor ini mempengaruhi tingkat kemiskinan Kota/Kabupaten di Jawa Tengah.
Population density due to urbanization contributes to the SUHI phenomenon and urban climate change. Understanding the SUHI phenomenon that brings enormous negative impacts to the environment and human life, Land Surface Temperature (LST) assessment is essential for creating a feasible and livable city. By utilizing the data of 1999 and 2018, this study aims to assess the LST value and its relationship to population density in Tanjungpinang city over two decades. As an island, Tanjungpinang has a vulnerability to SUHI and the climate change phenomenon. This study applied GIS and remote sensing models based on the mathematical formula of digital remote sensing images to calculate the LST value, and the relationship between LST and population density was examined using correlation analyses with Microsoft Excel. The results showed that Tanjungpinang city had increased 3.5oC in LST and 94.80% in density population over two decades. SUHI phenomenon has occurred during this period. It also indicated that there was a significant relationship between population density and LST. The LST spatial pattern spread from west to east of Tanjungpinang city was in line with the population density distribution pattern. The area with the highest percentage of population density addition and experienced the highest LST was Tanjungpinang Barat District. This study considers local governments to create effective population control and adaptive planning strategies for SUHI phenomenon mitigation.
Kampung Sekayu is an original village in Semarang City which has a cultural heritage building in its area, so its existence needs to be maintained. Its strategic location in the center of the city makes this village develop into a trade and service area, thus affecting the area’s physical characteristics. Character identification is needed to know the current condition of the area. The method used in this research is descriptive qualitative and explanatory techniques. This study shows that the physical condition of the building has partially changed due to the development of the area from a residential area to a trade and service area. However, some buildings can still maintain their distinctive character as the original buildings that were built during the colonial era. The Great Mosque as a landmark of this area is a characteristic that cannot be separated from the existence of this village. Judging from the social characteristics of the community, cultural mixing occurs because the composition of residents is now dominated by immigrants
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