1,720,958 research outputs found
PENERAPAN DATA MINING UNTUK MENGANALISIS POLA TRANSAKSI PENJUALAN DENGAN METODE ASSOCIATION RULE ALGORITMA FP-GROWTH (STUDI KASUS : PT. TUMBAKMAS NIAGA SAKTI)
Get PDFData transaksi penjualan pada PT. Tumbakmas Niaga Sakti selama ini hanya disimpan sebagai arsip. Padahal, data tersebut dapat dimanfaatkan dan diolah menjadi informasi yang berguna untuk peningkatan penjualan produk. Sehingga selama ini perusahaan membuat strategi promosi yang kurang tepat sasaran dikarenakan kurangnya informasi yang didapat untuk mengetahui pola pembelian konsumen. Dalam hal ini, perlu dilakukan analisis data transaksi untuk mendapatkan pola pembelian yang dapat diamati melalui data transaksi penjualan. Dengan menggunakan metode data mining yaitu algoritma fp-growth atau sering disebut Market Basket Analysis (MBA) dapat digunakan untuk menganalisis perilaku pola pembelian konsumen yang menghasilkan kaidah asosiasi dan mengetahui seberapa kuat suatu item mempengaruhi item lainnya. Dari pemanfaatan algoritma fp-growth, perusahaan mendapatkan informasi yang dapat membantu untuk menentukan menu bundling atau paket penjualan produk retail dan pola pembelian konsumen di PT. Tumbakmas Niaga Sakti sehingga mempermudah perusahaan dalam membuat keputusan dan strategi untuk meningkatkan penjualan
Implementasi Speech Recognition untuk Asisten Virtual dengan Python
Get PDFThe most common way of communicating used by humans is by voice or speech. Many experiments were carried out in the aspect of sound processing to create a mechanical model that simulates how humans communicate verbally. Voice recognition technology aims to develop systems and techniques on how to introduce voice commands so that they can be understood by machines so that machines are able to carry out the commands given. This study uses speech recognition technology to be implemented into a desktop-based personal virtual assistant application to help simplify daily tasks through a computer. The results of this study resulted in speech recognition to perform certain general tasks on the desktop and turn on electronic devices. From the tests that have been carried out, the application can recognize voice commands to carry out the given commands and can turn on or turn off electrical devices as expected.Cara berkomunikasi yang paling umum digunakan oleh manusia adalah suara atau ucapan. Banyak eksperimen yang dilakukan di aspek pemrosesan suara untuk menciptakan model mekanis yang mensimulasikan bagaimana cara manusia berkomunikasi secara verbal. Teknologi pengenalan suara bertujuan untuk mengembangkan sistem dan teknik tentang bagaimana mengenalkan perintah berbentuk suara agar dapat dimengerti oleh mesin, sehingga mesin mampu menjalankan perintah yang diberikan. Penelitian ini menggunakan teknologi pengenalan suara untuk diimplemetasikan ke aplikasi asisten virtual pribadi berbasiskan desktop dengan tujuan membantu menyederhanakan tugas sehari-hari melalui komputer. Hasil penelitian ini menghasilkan sebuah aplikasi pengenalan suara (speech recognition) untuk menjalankan tugas umum tertentu di desktop dan menyalakan perangkat elektronik. Dari pengujian yang sudah dilakukan, aplikasi dapat mengenali perintah suara untuk menjalankan perintah yang diberikan dan dapat menyalakan ataupun mematikan perangkat listrik seperti yang diharapkan
Implementation of Face Mask Detection Using Phyton Programming Language
No full textSince the beginning of the pandemic in 2019, people in Indonesia have been required to wear masks. Although until now the pandemic has ended, the need to use masks is still very much needed such as to maintain health, avoid air pollution and others. In detecting mask users, an application is needed that can help human work. Currently, the Python programming language is widely used to build applications in the field of computer vision, one of which is this face mask detection application. This application will detect mask users, whether they are wearing a mask or not. This developed application uses the Yolo model using the Face Mask Detection dataset developed by Larxel, where the Yolo model can work on the dataset provided. The test results show that the Yolo model can recognize mask users with an accuracy value above 90%. The second experiment was carried out to detect several faces of mask users, the Yolo model can recognize mask users or not with an average accuracy value of 91.75%. For future research, it is also expected to use other models besides Yolo and make comparisons of several models and make improvements to the problems that exist in each model and use real time data
a Taskboard System Based On Website (Case Study: CV Nukegraphic Indonesia): Taskboard
No full textCV. Nukegraphic Indonesia as one of the fast growing website in Indonesia would require a lot of support, including support in the field of Information Technology. Recording task list that still use manual systems, often prevent the processing of information about the details of the status of the task and the status of projects ongoing or already completed in the form of a percentage of each project, as well as recording task that still use paper media is also considered only will lead to waste in paper usage. Recording task that is only made in the scope of the company's staff also hinder the work process of the company when staff are outside the company. The method used in the manufacture of a web-based application taskboard this form of collecting data through observation and questionnaires were distributed in the scope of the company. The test results of these applications concluded that with the application taskboard-based website is an account executive can find out information about the details of the status and the status of the project in a short time, because the data processing has been made into a computerized provided through the application, both an account executive and members are also more easy in knowing the task that must be done even though it is outside the company. With this application is expected to help the performance of employees in a company to be more productiv
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Expert System Selection Topics Thesis Title With Forward Chaining Method Web-Based
Get PDFExpert Systems are computer-based applications that are used to solve problems as the expert thinks. Many college students majoring in Information Technology are difficult to get the thesis title topic even though it has been reading many journals and looking for some references. Therefore to make it easier college students, then the author wants to create an application where college students majoring in Information Technology can more easily get the thesis title topic so the work of thesis becomes more fluent and not obstructed. This app is web based. In system design, the author used several methods in his research that is method of Analyze, Design, and Implementation. Methods in the design of this expert system even this also used forward chaining method as tracking ahead and best first search method. And also using data collection method mean literature study and questionnaire from system that has been created. The result of Expert System of Thesis Title Topic Selection with Forward Chaining method web based expected to be useful and helpfully college students in getting the thesis title topic. Based on questionnaire that has been shared and filled, it can be said that the Expert System of Thesis Title Topic Selection with Forward Chaining Method Web Based is helpful and beneficial for the college students because it helps college student Information Technology in getting Thesis Title
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
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