Judul: LobaLauk: Platform E-Commerce berbasis Website Produk Ikan Segar
Abstrak: LobaLauk merupakan suatu platform E-Commerce berbasis website yang membantu konsumen produk ikan segar terutama ibu rumah tangga (IRT) yang mengalami permasalahan dalam mendapatkan produk ikan segar seperti permasalahan mengenai harga maupun layanan akses online dalam memperoleh produk. LobaLauk bertujuan mempermudah konsumen memperoleh ikan dan memotong rantai pemasaran sehingga konsumen dapat membeli produk ikan segar dengan harga yang lebih rendah. Penelitian dilakukan menggunakan metode House of Quality pada tahapan pertama yaitu Quality Function Deployment. Mengidentifikasi karakterisitik, analisis Benchmarking, kebutuhan dan keinginan konsumen, serta membuat permodelan LobaLauk dan Implikasi manajerial. Melalui analisis House of Quality diperoleh kesesuaian antara solusi dengan kebutuhan dan keinginan konsumen.
Keyword: Platform E-commerce berbasis website, produk ikan segar, house of quality, implikasi manajerial, akses online

Judul: Assessment of Customer Preferences on Seafood Menu at Rumah Lobster Depok
Abstrak: Preferensi pelanggan merupakan salah satu hal penting dalam pemasaran karena berkaitan erat dengan keberhasilan suatu perusahaan untuk mencapai tujuannya. Data transaksi penjualan dapat dianalisis untuk menentukan preferensi konsumen berdasarkan pola pembelian produk yang sering muncul. Salah satu metode yang dapat digunakan adalah algoritma FP-Growth, yaitu algoritma yang dikembangkan dari algoritma Apriori dan menggunakan konsep FP-Tree. Rumah Lobster Depok merupakan salah satu UMKM yang ada di Kota Depok yang menggunakan seafood sebagai produk yang dijual kepada konsumen. Seafood merupakan bahan baku yang berasal dari laut serta termasuk bahan yang mudah rusak sehingga diperlukan analisis data untuk mengetahui bahan apa yang dibutuhkan. Data yang dianalisis adalah data transaksi penjualan selama satu bulan. Berdasarkan hasil analisis tersebut didapatkan kombinasi menu yang paling sering dibeli oleh konsumen adalah Fish & Chips, TUNA, CUMI, UDANG, dan LOBSTER dengan LAPERPOOL 1. Berdasarkan hasil analisis juga dapat disimpulkan bahwa menu LAPERPOOL 1 merupakan menu yang menjadi preferensi pelanggan dengan pertimbangan harga serta tingkat kepuasan pelanggan. Rekomendasi yang dapat diberikan kepada pemilik Rumah Lobster Depok adalah menu LAPERPOOL 1 untuk mempertimbangkan ketersediaan bahan baku menu tersebut dengan menu lainnya., Customer preference is an essential in marketing because it’s complimentary to the success of a company in achieving its goals. Sales transaction data can be analyzed to determine costumer preferences based on product purchasing patterns that often appear. One method that can be used is the FP-Growth algorithm, an algorithm developed from Apriori algorithm and uses FP-Tree concept. Rumah Lobster Depok is one of the MSME in Depok City, which uses seafood as a product sold to consumers. Seafood is a raw material from the sea and is a perishable material, so data analysis is needed to find out what ingredients are needed. The data analyzed is sales transaction data for one month. Based on the analyzed results, it was found that the most frequent purchased menu combinations by consumers were Fish & Chips, TUNA, CUMI, UDANG, and LOBSTER with LAPERPOOL 1. Based on the results it can also be concluded that LAPERPOOL 1 is the preferred menu by customers with consideration of price and level of customer satisfaction. The recommendation that can be given to the Depok Lobster House owner is LAPERPOOL 1 menu to consider the availability of raw materials for this menu with other menus.
Keyword: FP-Growth, Customer Preference, Seafood, WEKA

Judul: Thermal Characteristics and Dynamics of Tropical Cyclone over Western North Pacific Ocean: A Case Study of Typhoon Songda (Chedeng) 2011
Abstrak: The frequent occasion of Tropical Cyclone (TC) over Western North Pacific (WNP) Ocean lies from 10˚N to 26˚N and 121˚E to 170˚E. Sources of TC development come from warm ocean temperature where latent heat is released during condensation processes and subsequently concentrated in the boundary layer. Relative humidity at 850-700 hPa is responsible to produce the most intense storm. Meanwhile, weak vertical wind shear between 850-200 hPa is one of the dynamical factors that lead to the development of TC. Pressure level of 850-200 hPa is chosen to minimize the thermodynamic effect in the lower troposphere. Typhoon Songda (Chedeng in the Philippines) or TSC lasted from May 18th to 30th, 2011 and strengthened into powerful Super Typhoon stage between May 24th and 27th. Long curving track and the exhibition of all sequences of TC life cycle, TSC is then considered as an ideal case of TC. The objective of the study with case of TSC is to investigate the role of thermal characteristics and dynamics on TC intensity. The research is carried out by using Advanced Research of Weather Research and Forecasting model (WRF ARW model) version 3.3. Two domains are employed in the model. The first domain situate from 02˚N to 40˚N and 118˚E to 149˚E and cover spatial resolution () of 33.1 km. The second domain situate from 09˚N to 27˚N and 119˚E to 132˚E with of 11 km. Timestep of the model () is 120 seconds. The model is supported by the following physical parameterization, i.e., Yonsei University Scheme (YSU) in the boundary layer, Kain-Fritsch scheme (KF) in the cumulus, and WRF Single-Moment 3-class scheme in the microphysics. Initial meteorological condition prior to the formation of the cyclone is generated using WRF ARW standard-release model. Sensitivity of the model output is obtained from a selected single-parameter change scenarios, namely, 10 % to 20 % decrease and increase of wind shear initial data at 850-200 hPa, and by 10 % to 20 % decrease of relative humidity initial data at 850-700 hPa. The result showed that the negative correlations between wind shear and intensity are found in wind shear scenarios. Wind shears of 10 ms-1 which lead to strengthening of the wind intensity in the early period of Typhoon development are found in wind shear scenarios. The effect of wind shear changes on wind intensity is statistically significant in the 20 % wind shear scenarios. During mature stage, weak wind intensity occurred when wind shear increase as given in the WRF standard-release and the 20 % decreasing scenario. Different situation is found in the 20 % increasing scenario where wind shear tend to weak and lead to strong wind intensity at this stage. Meanwhile, the reduction of moisture supply at 850-700 hPa resulting from 20 % decreasing relative humidity play a major role in the weakening of wind intensity and reduces mechanical energy of the cycle process as much as 300 J kg-1.
Keyword: