1,720,958 research outputs found
Analisis Data Pola Pembelian Konsumen Dengan Algoritma Apriori Pada Transaksi Penjualan Minimarket D Mart
Minimarket D Mart is one of the stores that sells various items of daily necessities. Minimarket D Mart when doing a transaction had using a computer but the data only has function as an archive, so that the data piles up. The data stack can obtain new information if it processed property, such as seeing the pattern of what items are of ten purchased by consumers. The study alms to determine the process of data mining analysis with apriori algorithms and to determine the rule which generated from the highest support value and confidence the method used in this study is data mining method with apriori algorithms, apriori included in the group of association rules in data mining. Besides apriori, market basket analysis method also included in its group. Market basket analysis in methodology for analysing consumer buying patterns of finding association between different items. Based in the result, the application of apriori algorithms on data mining technique is very efficient and also accelerate the process of forming trends in combination patterns of sales out come with the highest support value and confidence belong to teh pucuk, aqua with support 54% and confidence 100%
ANALISIS DAN DESAIN PERANCANGAN SISTEM INFORMASI AKADEMIK DI SMAN 16 BATAM
Sistem Informasi Akademik merupakan suatu teknologi untuk mengelola, menyebarkan informasi akademik berbasis komputer (Sistem Informasi Akademik). SIA digunakan untuk menyimpan data dan memanipulasi informasi akademik di suatu lembaga pendidikan yang menyajikan informasi tentang setiap aktor yang terlibat dalam sistem. Sistem Informasi Akademik merupakan suatu sistem yang memberikan layanan informasi berupa data-data mengenai hal-hal yang berkaitan dengan akademik. Dimana dalam hal ini layanan yang diberikan antara lain: penyimpanan data siswa baru, penentuan kelas, penentuan jadwal pelajaran, pembuatan jadwal pengajaran, pendistribusian wali kelas, proses asesmen. Tujuan dari penelitian ini adalah untuk menganalisis dan merancang sistem informasi akademik yang dapat digunakan di SMAN 16 Batam dan dapat membantu efisiensi kegiatan akademik. seperti kehadiran siswa dan penilaian siswa yang terkomputerisasi. Dengan melakukan hal-hal tersebut secara komputerisasi, sekolah dapat menghemat waktu dan tenaga, terutama orang tua yang dapat memantau kehadiran dan nilai anaknya melalui sistem informasi akademik, dan juga akan memudahkan guru dalam menilai nilai siswa dan tentunya akan menjadi nilai tambah. untuk sekolah. yang memiliki sistem informasi akademik. Diharapkan hasil analisis dan perancangan ini dapat memudahkan perancangan sistem informasi akademik di masa yang akan datang dan juga akan memudahkan guru dalam menilai nilai siswa dan tentunya menjadi nilai tambah bagi sekolah. yang memiliki sistem informasi akademik. Diharapkan hasil analisis dan perancangan ini dapat memudahkan perancangan sistem informasi akademik di masa yang akan datang dan juga akan memudahkan guru dalam menilai nilai siswa dan tentunya menjadi nilai tambah bagi sekolah. yang memiliki sistem informasi akademik. Hasil analisis dan perancangan ini diharapkan dapat memudahkan perancangan sistem informasi akademik di masa yang akan datang
Fuzzy Logic Mamdani Memprediksi Tingkat Kriminalitas
Kriminalitas merupakan suatu tindakan yang melanggar hukum dan dapat merusak kehidupan sosial dalam masyarakat. Kriminalitas merupakan permasalahan yang sangat penting untuk diperhatikan oleh pemerintah. Namun dilihat dari perkembangan industri yang terjadi dua tahun terakhir banyak industri yang mengalami penutupan sehingga berdampak terhadap para pekerja di kota batam. hal tersebut juga akan mempengaruhi tingkat pendapat dan pendidikan di kota batam. Maka dari hal tersebut penelitian ini akan membahas faktor yang mempengaruhi tingkat kriminalitas dikota batam. Faktor yang akan di analisis dalam penelitian ini di harapkan dapat memprediksi tingkat kriminalitas yang ada dikota batam. Sehingga dapat memberikan gambaran tingkat kriminalitas kepada pemerintah kota batam khususnya bagi piha batam khususnya bagi pihak polrestaa dan dinas pendidikan. Penelitian ini akan membahas faktor yang dapat mempengaruhi tingkat kriminalitas dikota batam. adapun faktor yang menjadi landasan dalam penelitian ini adalah tingkat pengangguran, tingkat pendapatan dan pendidikan yang ada dikota batam. Data yang diperoleh berdasarkan data polresta barelang dan data BPS kota batam. Untuk pemprosesan dalam memprediksi menggunakan metode Fuzzy logic mamdani sebagai parameter perhitungnya. Perhitungan dengan menggunakan variabel input yaitu pengangguran, pendapatan dan pendidikan. Sedangkan variabel output yaitu tingkat kriminalitasnya. Dimana proses dilakukan dengan empat tahapan dalam metode tersebut dan dimulai dengan menentukan pembentukkan himpunan fuzzy setelah itu fungsi implikasi serta membentukkan aturan-aturan dan tahapan selanjutnya di lakukan penegasan (defuzifikasi). sehingga hasil tersebut dapat memberikan prediksi gambaran tingkat kriminalitas yang ada dikota batam
ANALISIS CLUSTERING DENGAN K-MEANS UNTUK PENGELOMPOKKAN PENJUALAN PRODUK PADA HOTEL NEWTON
Customer satisfaction is the main goal of many companies wants to achieve. One of the business fields that focus on customer satisfaction is hotel business. Apart from serving accommodation for customers, hotels also provide variety of products for sale. Inventory management is very important is hotel business because one of many ways to maintain customer satisfaction is by keeping stock so no items are empty when needed. In addition, a good inventory management will not let the company to experiences losses due to outdated inventory. Using data mining K-means clustering algorithm, we can group goods based on the salable goods and the less salable goods. This research aims to assist hotel Newton to improve their inventory management. Data that was used is sales that have been made which divided into 3 trimesters. Data also will be evaluated using RapidMiner application. The results obtained from the research are 3 clusters where the clusters consist of very salable goods, medium salable goods and not salable goods
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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