Analisis Pengaruh Kualitas Layanan dan Kualitas Produk terhadap Kepuasan dan Loyalitas Pelanggan Layanan Data 4g: Studi Kasus PT. Internux

Penelitian ini bertujuan untuk menganalisis pengaruh kualitas layanan dan kualitas produk terhadap kepuasan dan loyalitas pelanggan, serta pengaruh kepuasan pelanggan terhadap loyalitas pelanggan. Data diperoleh dengan penyebaran kuesioner secara acak terhadap pelanggan bolt yang tersebar di Jabodetabek. Metode yang digunakan adalah kuantitatif dengan analisis jalur (path analisis). Hasil penelitian diperoleh bahwa 1) kualitas pelayanan secara langsung berpengaruh signifikan terhadap kepuasan pelanggan Bolt, 2) kualitas pelayanan secara langsung berpengaruh yang tidak signifikan terhadap loyalitas pelanggan Bolt, 3) kualitas produk secara langsung berpengaruh signifikan terhadap kepusan pelanggan Bolt, 4) kualitas produk secara langsung berpengaruh signifikan terhadap loyalitas pelanggan Bolt, dan 5) kepuasan pelanggan secara langsung berpengaruh signifikan terhadap loyalitas pelanggan Bolt

Dynamic Matrix Factorization with Priors on Unknown Values

Advanced and effective collaborative filtering methods based on explicit feedback assume that unknown ratings do not follow the same model as the observed ones (\emph{not missing at random}). In this work, we build on this assumption, and introduce a novel dynamic matrix factorization framework that allows to set an explicit prior on unknown values. When new ratings, users, or items enter the system, we can update the factorization in time independent of the size of data (number of users, items and ratings). Hence, we can quickly recommend items even to very recent users. We test our methods on three large datasets, including two very sparse ones, in static and dynamic conditions. In each case, we outrank state-of-the-art matrix factorization methods that do not use a prior on unknown ratings.Comment: in the Proceedings of 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining 201

Fast Matrix Factorization for Online Recommendation with Implicit Feedback

This paper contributes improvements on both the effectiveness and efficiency of Matrix Factorization (MF) methods for implicit feedback. We highlight two critical issues of existing works. First, due to the large space of unobserved feedback, most existing works resort to assign a uniform weight to the missing data to reduce computational complexity. However, such a uniform assumption is invalid in real-world settings. Second, most methods are also designed in an offline setting and fail to keep up with the dynamic nature of online data. We address the above two issues in learning MF models from implicit feedback. We first propose to weight the missing data based on item popularity, which is more effective and flexible than the uniform-weight assumption. However, such a non-uniform weighting poses efficiency challenge in learning the model. To address this, we specifically design a new learning algorithm based on the element-wise Alternating Least Squares (eALS) technique, for efficiently optimizing a MF model with variably-weighted missing data. We exploit this efficiency to then seamlessly devise an incremental update strategy that instantly refreshes a MF model given new feedback. Through comprehensive experiments on two public datasets in both offline and online protocols, we show that our eALS method consistently outperforms state-of-the-art implicit MF methods. Our implementation is available at https://github.com/hexiangnan/sigir16-eals.Comment: 10 pages, 8 figure

Pattern measurements of a low-sidelobe horn antenna

The techniques and results of power pattern measurements of a corrugated horn antenna designed for low sidelobes are reported. The power pattern was measured to levels 90 dB below the main beam maximum in both the E- and H-planes. The measured patterns were found to be in good agreement with predictions from existing theory for the performance of corrugated scalar feeds

Pengaruh Model Pembelajaran Discovery Learning dipadukan Model Peer Tutoring Terhadap Hasil Belajar Biologi Peserta Didik: (The Effect of Discovery Learning Model Integrated With The Peer Tutoring Model on Student Biology Learning Outcomes)

Based on observations from a biology teacher at SMA Negeri 17 Central Maluku. The data obtained that the results of learning biology are still partly below the average, based on the results of observations it turns out that teaching and learning activities look boring and most students do not pay attention to the teacher's explanation and are cool to talk with their classmates. The purpose of this study was to determine the effect of discovery learning learning models combined with peer tutoring methods on student learning outcomes in class XI SMA Negeri 17 Maluku Tengah. This research is a quasi-experimental research. The sample in this study amounted to 52 students consisting of 26 students in class XI1 as the experimental class and 26 students in class XI3 as the control class. The results of the study show that there is an influence of the discovery learning model combined with the peer tutoring method on student learning outcomes at SMA Negeri 17 Maluku Tengah. Abstrak. Berdasarkan hasil observasi dari salah seorang guru biologi di SMA Negeri 17 Maluku Tengah. Diperoleh data bahwa hasil belajar biologi yaitu masih sebagian dibawah rata-rata, berdasarkan hasil observasi ternyata kegiatan belajar mengajar terlihat membosankan dan sebagaian besar siswa tidak memperhatikan penjelasanan guru serta asik berbincang-bincang dengan teman sebangkunya. Tujuan penelitian ini untuk mengetahui pengaruh model pembelajaran discovery  Learning dipadukan metode peer tutoring terhadap hasil belajar siswa kelas XI SMA Negeri 17 Maluku Tengah. Penelitian yang dilakukan merupakan penelitian eksperimen semu. Sampel dalam penelitian ini berjumlah 52 siswa yang terdiri dari 26 siswa kelas XI1  sebagai kelas eksperimen dan 26 siswa kelas XI3  sebagai kelas kontrol. Hasil penelitian menunjukan bahwa terdapat pengaruh model discovery Learning dipadukan metode peer tutoring terhadap hasil belajar siswa di SMA Negeri 17 Maluku Tengah