Permukiman kumuh perkotaan dapat dikatakan sebagai wilayah permukiman yang tidak layak huni, baik dari aspek fisik maupun sosial. Tujuan penelitian ini adalah untuk menjelaskan penyebab terjadi permukiman kumuh dan dampaknya serta solusi yang dapat dilakukan untuk wilayah permukiman tersebut. Metode yang digunakan adalah studi pustaka, adapun pustaka yang diambil adalah jurnal-jurnal ataupun buku-buku yang berkaitan dengan permukiman kumuh. Hasil dari studi pustaka ini adalah pertama, penyebab adanya permukiman kumuh dapat dikategorikan menjadi empat yaitu keluarga, ekonomi, migrasi dan kenyamanan. Kedua, dampak dari adanya permukiman kumuh dapat dibedakan menjadi dua yaitu dampak fisik dan dampak sosial. Solusi untuk mengatasi permasalahan di permukiman kumuh harus melibatkan berbagai pihak yaitu pemerintah, akademisi, komunitas, maupun media agar berbagai permasalahan di permukiman kumuh dapat diatasi

This study aims to look at the economic resilience vulnerability of slums in Palembang City. The method used is a quantitative descriptive of the results of cross tabulation using 382 respondents in each head of household spread in 64 locations of slum areas in the slum city of Palembang . Data collection techniques in this study using survey methods with area proportional random sampling. The results of this study indicate the amount of income is more thanRp. 2,000,000 which reached a percentage of 56% and found significant differences in income levels of more than Rp. 1,500,000 to Rp. 2,000,000 between migrant and non-migrant population. Results vulnerabilities economic resilience of society shows that there are 93,5 % the economic situation equally between income and expenditure so as to have a higher susceptibility to the weak economic resilience families in slum communities in Palembang.

Philosophical urbanization occurs because humans jointly move ( migrate ) to a destination area in search of a better life than before . Population density in urban areas will give birth to slums in the city of Palembang. Migrants who have a low economy will live in slums. Studi was conducted desk study with use a philosophical approach in order to obtain an essential explanation of the process of urbanization to the development of slums in the city of Palembang. The results of this study are that they migrated because they were influenced by important reasons namely employment reasons. The essential truth is that they migrate because they need money to eat, while the place they work in their native area is generally a farmer who earns an income that is uncertain and in accordance with natural conditions. When nature is not supporting, poverty is also affected by each of its citizens, forcing them to immediately go to look for cities with high economic activity. Migrants who have a low economy will occupy slums in the city of Palembang. This migration activity continues to follow the previous family so that it increases urbanization in Palembang City.

Penelitian ini bertujuan untuk menjelaskan kondisi fertilitas perempuan migran di Kelurahan Bukit Lama Kota Palembang. Metode yang digunakan adalah kualitatif. Pengumpulan data menggunakan observasi, wawancara dan dokumentasi, analisis data dengan reduksi, penyajian dan kesimpulan. Hasil penelitian menunjukkan bahwa usia menikah perempuan migran berada pada usia ideal dan tidak pada usia ideal. Jumlah anak dapat dikategorikan menjadi dua yaitu memiliki anak berjumlah dua orang dan memiliki anak kurang/lebih dari dua orang. Perempuan migran dalam menjarakkan kelahiran anak terbagi dua kategori yaitu jarak sesuai dengan program KB dan tidak sesuai program KB. Jumlah anak yang diinginkan terbagi dalam tiga kategori yaitu tidak memiliki rencana dalam menentukan jumlah anak, menentukan jumlah anak dua orang dan menentukan jumlah anak lebih dari dua orang. Alat kontrasepsi yang digunakan yaitu pil, suntik, dan susuk/implan dengan alasan kecocokan, kemudahan dan kenyamanan. Nilai anak bagi perempuan migran adalah sebagai penerus keturunan, anugerah dari Tuhan dan jaminan masa tua.

Urbanization triggers the emergence of slums in urban areas. Palembang is one of the Indonesian cities with slum settlements. This research aimed to analyze the interpolation of slum positions in Palembang and their distribution pattern using kernel density analysis and by modeling spatial data on accuracy values. It employed a quantitative method with a survey approach. Samples were selected using proportional random sampling from families in 64 slum areas across the 13 districts in the city, and their positions were recorded with a GPS device and then processed and mapped in ArcGIS. The data were analyzed with inverse distance weighted, kernel density, and spatial data modeling. Results showed that slum areas near the riverbanks had high population density, while those located further were lower. The values obtained from the kernel density analysis varied from 0 to 58.1123, while the inverse distance weighted showed a value range of 2.26745–380.991. The spatial data modelling analysis demonstrated that the distribution of slum areas was widely spread along the Musi River, with an accuracy value of 96.8%, which falls within the range of >0.9-1.

Increasingly thriving businesses that utilize existing startups are a form of disruptive innovation. Today, these startup users can multiply the number of their customers online to include a broader population in downtown areas. This research aimed to analyze the locations of startup users in Palembang City, Indonesia, spatially using the Accuracy Values of Spatial Data Modeling. Frequency, a descriptive quantitative approach, and spatial data modeling analysis were the two methods applied to 364 sampling points distributed in Palembang City. The results indicated that single women with an average of high school or equivalent education dominated the demographics of the startup users. Also, on average, the startup users were 20–29 years of age. The spatial analysis revealed that their business locations formed a dispersed pattern, with an even density in the downtown area. Based on the sensitivity and specificity values on the ROC curve (receiver operating characteristic) and the accuracy level obtained from AUC (area under the ROC curve), the Spatial Data Modeling (SDM) of the density distribution showed very high-accuracy results, 98.8%.