Pengaruh Pertumbuhan Ekonomi Terhadap Distribusi Pendapatan Di Provinsi Aceh

Penelitian ini meneliti tentang pengaruh pertumbuhan ekonomi terhadap distribusi pendapatan di Provinsi Aceh. Tujuan penelitian ini adalah untuk mengidentifikasi pengaruh pertumbuhan ekonomi terhadap distribusi pendapatan di Provinsi Aceh. Jenis penelitian ini adalah deskriptif dengan pendekatan kuantitatif. Metode analisis yang digunakan dalam penelitian ini adalah metode regresi linier sederhana. Dengan persamaan Y= 0,355 - 0,011 X. Konstanta sebesar 0,355, artinya jika pertumbuhan ekonomi Provinsi Aceh diasumsikan adalah nol (0) atau tetap, maka distribusi pendapatan Provinsi Aceh adalah sebesar 0,355%. Dalam hal ini jika kita lihat dari nilai berdasarkan Indeks Gini maka Provinsi Aceh tanpa pertumbuhan ekonomi ketimpangan pendistribusian pendapatan dalam kategori yang sedang. Koefisien regresi variabel pertumbuhan ekonomi sebesar -0,011, artinya jika pertumbuhan ekonomi Provinsi Aceh naik sebesar 1% maka distribusi pendapatan (Indeks Gini) akan turun sebesar 0,01%. Sedangkan uji t diperoleh thitung < t­tabel yaitu sebesar -1.653 < -1,833 dengan taraf signifikan > probabilitas sebesar 0,05 < 0,133. Hal ini berarti bahwa pertumbuhan ekonomi berpengaruh negatif dan tidak signifikan terhadap indeks Gini. Sehingga hipotesis yang menyatakan pertumbuhan ekonomi berpengaruh positif dan signifikan terhadap indeks gini di Provisi Aceh dapat ditolak. Artinya pertumbuhan ekonomi menjadikan distribusi pendapatan menjadi merata

Intuitionistic Fuzzy Time Series Functions Approach for Time Series Forecasting

Fuzzy inference systems have been commonly used for time series forecasting in the literature. Adaptive network fuzzy inference system, fuzzy time series approaches and fuzzy regression functions approaches are popular among fuzzy inference systems. In recent years, intuitionistic fuzzy sets have been preferred in the fuzzy modeling and new fuzzy inference systems have been proposed based on intuitionistic fuzzy sets. In this paper, a new intuitionistic fuzzy regression functions approach is proposed based on intuitionistic fuzzy sets for forecasting purpose. This new inference system is called an intuitionistic fuzzy time series functions approach. The contribution of the paper is proposing a new intuitionistic fuzzy inference system. To evaluate the performance of intuitionistic fuzzy time series functions, twenty-three real-world time series data sets are analyzed. The results obtained from the intuitionistic fuzzy time series functions approach are compared with some other methods according to a root mean square error and mean absolute percentage error criteria. The proposed method has superior forecasting performance among all methods

Bounds on Hop Distance in Greedy Routing Approach in Wireless Ad Hoc Networks

Wireless ad hoc networks are generally characterised by random node locations and multi-hop routes. A quantitative knowledge of the relation between hop count and Euclidean distance could provide a better understanding of important network parameters such as end-to-end delay, power consumption along the route, and node localisation. In this paper, we present an analytic approach to capture the statistics on hop count for a given source-to-destination Euclidean distance in a greedy routing approach. We also show that, for a given hop count, the bounds on Euclidean distance can be computed from the distribution characteristics of per-hop progres

Towards Reliable 10 mu m Pitch Assembly Using Cu/Ni/SnAg based Interconnects

19th IEEE Electronics Packaging Technology Conference (EPTC), Singapore, SINGAPORE, DEC 06-09, 2017International audienceIn this paper, the interconnect for 10 mu m are evaluated. Two processes for obtaining interconnects for 10 mu m pitch are compared in terms of reliability. One process yields the interconnects with Ni3Sn4 intermetallic (IMC) joint (interconnect A) while other yields the interconnects with solder joint (interconnect B). To select the best process for the assembly at 10gim pitch, high temperature storage tests are performed at 150 degrees C, 175 degrees C and 200 degrees C for 500hrs. The evolution of the metallurgy for both the interconnects is evaluated. The failure mechanism is determined by measuring the change in resistance. On the basis of mechanism, failure statistic is made. Finally, the obtained results are discussed