Zumarsiyah Mahsyari - Academia.edu (original) (raw)
Papers by Zumarsiyah Mahsyari
Memasuki masa transisi dari PTN BLU menjadi PTN BH, melalui KPRI ITS, ITS membuka minimarket yang... more Memasuki masa transisi dari PTN BLU menjadi PTN BH, melalui KPRI ITS, ITS membuka minimarket yang mengusung nama K1 Mart ITS pada tahun 2015. Sebagai bisnis baru tentunya K1 Mart ITS membutuhkan strategi pemasaran yang tepat untuk dapat menarik banyak konsumen, salah satunya dengan memperhatikan pola barang yang dibeli oleh konsumen yang dapat diketahui dengan market basket analysis. Market basket analysis merupakan salah satu penggunaan teknik asosiasi yang digunakan untuk menemukan kelompok-kelompok barang yang terjadi secara bersamaan dalam suatu transaksi. Algoritma yang digunakan pada penelitian ini adalah Apriori, Fuzzy c-Covering, dan Association Rules Networks. Apriori menggunakan frequent itemsets dalam keseluruhan transaksi untuk menemukan pola pembelian konsumen tanpa memperhatikan hubungan tiap item dalam tiap transaksi, berbeda dengan algoritma Fuzzy c-Covering yang bekerja berdasarkan persepsi bahwa semakin banyak item yang dibeli dalam suatu transaksi, maka hubungan a...
Proceedings of the 2nd International Conference Postgraduate School, 2018
Underdevelopment problem of a region can be seen from the dimensions of the economy, human resour... more Underdevelopment problem of a region can be seen from the dimensions of the economy, human resources, financial capability, infrastructure, accessibility, and regional characteristics. One method to see a region is underdeveloped or not is by looking the percentage of people living in poverty in a region in the publication data of underdeveloped regional indicators issued by the Central Bureau of Statistics (BPS). The results showed that the percentage of people in East Java Province who are living in poverty using linear regression is not yet appropriate. The percentage of people living in poverty spread spatially because there is heterogeneity between the observation sites which means that the observation of a location depends on the observation in another location with adjacent distance so that the spatial regression modeling was done with Adaptive Bisquare Kernel function. The grouping results with GWR resulted in nine groups based on significant variables. Each group eas characterized by life expectancy, mean years of schooling, expenditure and literacy rate.
Proceedings of the 2nd International Conference Postgraduate School, 2018
Underdeveloped regions categorized as the districts where their communities and areas are relativ... more Underdeveloped regions categorized as the districts where their communities and areas are relatively less developed than other regions on a national scale. There are six criterias used to identify the underdeveloped problems, i.e. the economy, human resources, financial capability, infrastructure, accessibility, and regional characteristics. One of the methods to find the underdeveloped region clssified district was using the Village Potential Data (PODES) issued by BPS. PODES data is regional data emphasized on the description of regional situation. The coverage of PODES in 2014 and the activities were carried out on all administrative areas of village level throughout Indonesia. In this research, classification analysis was using decision tree conducted to the districts/cities in Java. The used data was secondary data obtained from BPS in the form of PODES data. This method provided 100% accuracy in classifying the underdeveloped regions in Java. After obtaining the classification result, we could find out the most significant factor that affect the region to be classified is an underdeveloped region. By knowing that significant indicator, this research could give the recommendation to the government to focus on handling it and developing regions in Indonesia rightly on target.
Memasuki masa transisi dari PTN BLU menjadi PTN BH, melalui KPRI ITS, ITS membuka minimarket yang... more Memasuki masa transisi dari PTN BLU menjadi PTN BH, melalui KPRI ITS, ITS membuka minimarket yang mengusung nama K1 Mart ITS pada tahun 2015. Sebagai bisnis baru tentunya K1 Mart ITS membutuhkan strategi pemasaran yang tepat untuk dapat menarik banyak konsumen, salah satunya dengan memperhatikan pola barang yang dibeli oleh konsumen yang dapat diketahui dengan market basket analysis. Market basket analysis merupakan salah satu penggunaan teknik asosiasi yang digunakan untuk menemukan kelompok-kelompok barang yang terjadi secara bersamaan dalam suatu transaksi. Algoritma yang digunakan pada penelitian ini adalah Apriori, Fuzzy c-Covering, dan Association Rules Networks. Apriori menggunakan frequent itemsets dalam keseluruhan transaksi untuk menemukan pola pembelian konsumen tanpa memperhatikan hubungan tiap item dalam tiap transaksi, berbeda dengan algoritma Fuzzy c-Covering yang bekerja berdasarkan persepsi bahwa semakin banyak item yang dibeli dalam suatu transaksi, maka hubungan a...
Proceedings of the 2nd International Conference Postgraduate School, 2018
Underdevelopment problem of a region can be seen from the dimensions of the economy, human resour... more Underdevelopment problem of a region can be seen from the dimensions of the economy, human resources, financial capability, infrastructure, accessibility, and regional characteristics. One method to see a region is underdeveloped or not is by looking the percentage of people living in poverty in a region in the publication data of underdeveloped regional indicators issued by the Central Bureau of Statistics (BPS). The results showed that the percentage of people in East Java Province who are living in poverty using linear regression is not yet appropriate. The percentage of people living in poverty spread spatially because there is heterogeneity between the observation sites which means that the observation of a location depends on the observation in another location with adjacent distance so that the spatial regression modeling was done with Adaptive Bisquare Kernel function. The grouping results with GWR resulted in nine groups based on significant variables. Each group eas characterized by life expectancy, mean years of schooling, expenditure and literacy rate.
Proceedings of the 2nd International Conference Postgraduate School, 2018
Underdeveloped regions categorized as the districts where their communities and areas are relativ... more Underdeveloped regions categorized as the districts where their communities and areas are relatively less developed than other regions on a national scale. There are six criterias used to identify the underdeveloped problems, i.e. the economy, human resources, financial capability, infrastructure, accessibility, and regional characteristics. One of the methods to find the underdeveloped region clssified district was using the Village Potential Data (PODES) issued by BPS. PODES data is regional data emphasized on the description of regional situation. The coverage of PODES in 2014 and the activities were carried out on all administrative areas of village level throughout Indonesia. In this research, classification analysis was using decision tree conducted to the districts/cities in Java. The used data was secondary data obtained from BPS in the form of PODES data. This method provided 100% accuracy in classifying the underdeveloped regions in Java. After obtaining the classification result, we could find out the most significant factor that affect the region to be classified is an underdeveloped region. By knowing that significant indicator, this research could give the recommendation to the government to focus on handling it and developing regions in Indonesia rightly on target.