Inflation is the tendency of increasing prices of goods in general and happens continuously. Indonesia's economy will decline if inflation is not controlled properly. To control the inflation rate required an inflation rate forecasting in Indonesia. The forecasting result will be used as information to the government in order to keep the inflation rate stable. This study proposes Fuzzy Neural System (FNS) to forecast the inflation rate. This study uses historical data and external factors as the parameters. The external factor using in this study is very important, which inflation rate is not only affected by the historical data. External factor used are four external factors which each factor has two fuzzy set. While historical data is divided into three input variables with three fuzzy sets. The combination of three input variables and four external factors will generate too many rules. Generate of rules with too many amounts will less effective and have lower accuracy. The novelty is needed to minimalize the amount of rules by using two steps fuzzy. To evaluate the forecasting results, Root Means Square Error (RMSE) technique is used. Fuzzy Inference System Sugeno used as the comparison method. The study results show that FNS has a better performance than the comparison method with RMSE that is 1.81.

No abstract

No abstract

The Indonesian government is currently intensifying work programs in the field of traditional arts and culture. In order to realize the promotion of the country's culture, the government has enacted a law on cultural promotion. One indicator of the achievement of the promotion of culture, among others, with the collection of data on traditional culture, the data mapping and data inventory can be processed into information and knowledge. In this research, indicators of performance indicators were compiled from connoisseurs of traditional works of art using data in the city of Malang, East Java, Indonesia. The results of the audience's opinion on cultural offerings can be used as a benchmark for the success of the promotion of traditional culture. When the culture is explored and tried to be displayed again, it is important to know the audience's satisfaction and understanding of the display that has just been witnessed. The results of the description of respondents in the form of opinions on the artwork will be collected as data processed using Text Mining with the Clustering of Fuzzy C-Means method to determine the audience's opinion about Feeling , which is related to feelings when viewing the beauty of the artwork, Value is related to the assessment to an art work that can be in the form of art weights contained in the work of art, and Emphasizing , which is related to empathy or respect for the art world, including professions related to the world such as dancers, musicians and others. The results achieved from this study show that has good performance on the proposed method. This can be known from the results of data testing using cluster variance V = 0.00000217901. Based on these values it can be concluded that the value of all cluster variants is good.

Jumlah perumahan di perkotaan semakin meningkat seiring dengan bertambahnya jumlah penduduk. Semakin banyak lahan pertanian dan perkebunan yang dikonversi menjadi perumahan, akan mengurangi produksi pangan. Pertanian di perkotaan bukan hal yang tidak mungkin diadakan, pertanian dapat dilakukan di setiap rumah dan lingkungan sekitar rumah. Salah satu upaya menyeimbangkan kebutuhan pangan dan jumlah kebutuhan pangan di perkotaan adalah dengan dibentuknya Kelompok Rumah Pangan Lestari (KRPL). Penanaman Hidroponik adalah salah satu solusi yang efektif untuk penanaman di lingkungan sekitar rumah. Kebutuhan air pada hidroponik lebih sedikit dibandingkan pada budidaya tanaman dengan media tanah. Metode yang dilakukan adalah dengan melakukan pelatihan tanam, pelatihan perawatan, dan pelatihan teknik pemanenan. Hasil menunjukkan bahwa dengan penanaman model hidroponik ini pada KRPL lebih bisa dimanfaatkan oleh warga dan membudidayakannya dengan lebih mudah dalam rangka memenuhi kebutuhan pangan keluarga.