Abstrak. Perkembangan kawasan permukiman kumuh di Kota Malang disebabkan oleh faktor urbanisasi dan  penduduk asli yang penghasilan rendah sehingga berakibat pada rendahnya daya beli terhadap rumah layak huni dan berlokasi di zona permukiman ideal. Kedua golongan masyarakat ini mendorong  untuk memilih lokasi bermukim di wilayah yang tidak seharusnya dijadikan kawasan permukiman sehingga menyebakan kemunculan kawasan permukiman kumuh baru. Tujuan penelitian ini adalah; 1) mengetahui pola spasial permukiman kumuh pusat kota dan wilayah pinggiran; 2) mengetahui hubungan kondisi sosial ekonomi masyarakat terhadap permukiman kumuh pusat kota dan wilayah pinggiran. Wilayah kajian permukiman kumuh pusat Kota Malang berada di Kelurahan Kauman, sedangkan wilayah pinggiran berada di Kelurahan Tlogomas. Kedua wilayah tersebut berdasarkan SK Walikota Malang termasuk dalam kawasan permukiman kumuh yang terdapat di Kota Malang. Penelitian ini menggunakan pendekatan kuantitatif. Alat analisis yang digunakan yakni Sistem Informasi Geografis (SIG) dengan metode overlay untuk mengetahui pola spasial permukiman kumuh. Untuk mengetahui keputusan keluarga bermukim di permukiman kumuh digunakan uji regresi logistik ordinal. Hasil penelitian menunjukkan kawasan permukiman kumuh pusat kota memiliki pola linier sepanjang Sungai Kasin. Kawasan permukiman kumuh wilayah pinggiran memiliki pola linier dan memusat. Hasil analisis regresi logistik ordinal menunjukkan keputusan keluarga bermukim di permukiman kumuh secara signifikan dipengaruhi oleh kondisi sosial ekonomi yang meliputi tingkat pendidikan, jumlah anggota keluarga, dan kebutuhan ekonomi untuk permukiman kumah pusat Kota Malang. Keputusan keluarga untuk bermukim di permukiman kumuh wilayah pinggiran dipengaruhi oleh kebutuhan ekonomi, pendapatan, jumlah anggota keluarga, dan jenis pekerjaan.   Abstract. The emergent growing of slums in Malang City has been caused by urbanization and the locals with low income making it hard for them to afford proper housing located in ideal residential zones. These two groups of societies have triggered the choice to reside in the improper areas, and thus new slums emerge. This current study aimed at: 1) describing the spatial pattern of the slums in the down town and suburb area; and 2) investigating the correlation between socio-economic conditions of the societies and the slums in the down towan and suburb area. The slum in down town Malang City was Kauman Sub-district; while the slum in the suburb area was Tlogomas Sub-district. Both locations have been pronounced as the slums within the Decree Statement of the Mayor of Malang. This study was conducted by means of quantitative approach. Geographic Information System (GIS) was employed as the analysis. Overlay method was used to detect the spatial patterns of the slums and ordinal logistic regression was performed to investigate the correlation between socio-economic conditions of the societies and the slums. It has been revealed that the slum in the downtown portrayed a linear pattern along Kasin river bank. The slum in the suburb area showed linear and centered patterns. The ordinal logistic regression analysis resulted in the notion that the decision to reside in the slums has been significantly affected by the socio-economic conditions. The results of ordinal-logistic regression analysis showed that the family's decision to live in the slum was significantly influenced by socio-economic conditions including education level, number of family members, and economic needs for slum in the downtown.  The family's decision to live in the slum areas in surburb area was influenced by economic needs, income, number of family members, and their professions.

PT. Samihasa Kita is a glass product distributor company that was founded in 1989, which is located in the city of Semarang, Central Java, with sales area coverage in Central Java, D.I Yogyakarta, Jakarta, and Kalimantan. So far, PT Samihasa Kita has an erratic amount of demand for goods, as a result, sometimes the number of goods produced for sale with the goods purchased by consumers is not balanced. This resulted in PT Samihasa Kita not getting the maximum profit. Based on this problem, Fuzzy Tsukamoto logic was chosen to determine the optimal daily production amount. By using fuzzy logic can be determined the relative size of the production of goods. The Fuzzy Tsukamoto method can also be used to forecast sales in the coming month based on the amount of inventory. Thus the amount of production and demand for goods PT. Samihasa Kita is predictable and balances transactions. This research aims to be able to predict demand and procurement of goods that will have an impact on optimizing revenue at PT. Samihasa Kita.