ABSTRAKDalam sebuah bisnis, diperlukan upaya memaksimalkan keuntungan. Diantaranya dengan melakukan promosi. Ketepatan promosi dapat dipelajari dari database sebuah perusahaan ritel utamanya pola belanja pada produk yang biasa dibeli bersamaan. Informasi tentang pola belanja pelanggan yang tidak akurat menyebabkan kebijakan promosi tidak tepat dan efisien.Salah satu upaya lazim untuk memperoleh dan menggali pola belanja pelanggan adalah menggunakan data mining yang dikenal sebagai Knowledge Discovery in Database (KDD). Pendekatan yang biasa digunakan adalah asosiasi. Permasalahannya aturan asosiasi cenderung mengabaikan dataset yang besar. Untuk mengatasi hal tersebut dilakukan klasifikasi barang yang dibeli dan tidak dibeli bersamaan. Algoritma Self Organizing Map (SOM) dan K-Medoids cocok untuk diterapkan dalam mengcluster dataset besar. Penelitian ini menguji kevalidan dan kecepatan algortima Self Organizing Map (SOM) dan K-Medoids jika dikombinasi dengan Frequent Pattern-Growth (FP-Growth).Kata kunci: analisis keranjang pasar, rekomendasi produk, self organizing map, k-medoids, fp-growth. ABSTRACTIn a business, it takes effort to maximize profits. Among them with promotions. The accuracy of the promotion can be learned from the database a major retail company spending patterns on products commonly purchased together. Information on customer shopping patterns inaccurate cause improper promotion policy and efisien.Salah a common effort to acquire and explore the shopping patterns of customers is using data mining known as Knowledge Discovery in Databases (KDD). The approach used is association. The problem tends to ignore the rules of association of large datasets. To overcome this problem do the classification of goods purchased and not purchased together. Algorithm Self Organizing Map (SOM) and K-Medoids mengcluster suitable to be applied in large datasets. This study tested the validity and speed algorithms Self Organizing Map (SOM) and K-Medoids when combined with Frequent Pattern-Growth (FP-Growth).
Tingginya permintaan konsumen terhadap kebutuhan kendaraan bermotor dan minimnya informasi lahan parkir kosong di pusat perbelanjaan, gedung-gedung perkantoran serta lembaga pendidikan khususnya pada kendaraan roda empat, menjadi permasalahan utama untuk dibangunnya sebuah sistem parkir cerdas yang dapat memberikan kenyamanan dan keamanan. Hal ini juga dirasakan oleh Universitas Muria Kudus, sebagai salah satu institusi pendidikan tinggi di kota Kudus. Dengan adanya permasalahan seperti ini maka perlu dibangunnya sebuah sistem parkir yang otomatis dan cerdas. Pengolahan citra digital melakukan komunikasi data dengan gerbang otomatis pada purwarupa sistem parkir mobil cerdas di Universitas Muria Kudus dengan menggunakan basis data Mysql. Dari hasil penelitan yang dilakukan sebanyak 30 kali percobaan menunjukan tingkat keakuratan pendeteksian slot parkir mencapai 90%, jarak deteksi sensor ultrasonik sampai 10 cm dan jarak pembacaan RFID reader sampai 2 cm, komunikasi data dan basis data menunjukkan tingkat keakuratan mencapai 100%.
The increasing population from year to year raises the problem of population density. The population density of the Kudus Distric from 2010 to 2014 increases in quality every year. Recorded in the Central Bureau of Statistics in 2010 the population density (Soul Per Km2) around 1833 and in 2014 reached 1931. Population growth rate is proportional to the growth rate of existing houses as shelter. The Government of Kudus District as a program implementing “million houses” from the President of the Republic of Indonesia provides solutions in terms of security in the administration of land administration. Developers of subsidized housing need to take several aspects in development, such as Spatial Planning in each region, especially Kudus District, the long-term program and government functions. There needs to be a system capable of determining the optimal level of the type of housing to be built with the suitability of existing land. There needs to be a system capable of determining the optimal level of the type of housing to be built with the suitability of existing land. condition that need to reach the optimal level can be done by using linear programming method. All these things can be integrated and execute with the existence of eco-friendly Development System
The problem of the need for clean water is very important. The several diseases triggered by poor water quality reach more than 200 cases each year and cause more than 5 million deaths worldwide. Thus, monitoring water quality becomes important for the availability of safe and clean water. Wireless sensor networks have become a promising alternative to adopted for supplementing the conventional monitoring process. This network allows measurements from the remote location in real-time and with little human intervention. Wireless sensor network topology performance will support the stability of real-time data transmission. The difference in network topology between each router-node station affects the disruption of data distribution. Quality of Services (QoS) measurement is based on wireless sensor connectivity in transmit sensor data from several parameters, including temperature, total dissolved solids, and pH in the node station to the website service. The delay in transmitting data affects the performance of the measurement of the water pollution monitoring system.
The smart-house technology aims to increase home automation for personal comfort, security, and reduced energy consumption. The approach that has been done is direct control over smart home devices, this approach needs fixed IP. Unfortunately to use fixed IP need expensive cost. and in the case of multiple smart homes, it also makes multiple expensive costs. This paper purpose the method to create a smart home controlling and monitoring system with lower cost, and in the case multiple smart homes cost still not grow up. This paper purpose new approach with using database replication. The Result of this research is can make online multiple smart homes, and easy to access with HTTP and www.
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