1,720,957 research outputs found
ANALISA DAN PENERAPAN METODE SINGLE EXPONENTIAN SMOOTHING DAN MULTI AGENT SISTEM PADA PREDIKSI PENJUALAN
Get PDFPada dunia bisnis stok barang merupakan sebuah hal yang sulit untuk diprediksi.Banyak hal yang menjadi penentu factor jumlah stocking barang.Salah satu factor utama adalah jumlah pesanan dan kondisi ekonomi.Isu menarik dari proses peramalan kebutuhan barang adalah mendelegasikan tugas tersebut kepada asisten pribadi berupa perangkat lunak komputer. Kegiatan pengerajin untuck melakukan stocking barangakan sangat terbantu oleh perangkat lunak ini. Pendekatan perangkat lunak berbasis kecerdasan agen (intelligent agent) memungkinkan untuk membantu pengerajin dalam menentukan kemungkinan stok barang pada bulan selanjutnya.Perangkat lunak berbasis intelligent agent ini dirancang menggunakan metodologi Prometheus, dan dikembangkan melalui platform JADE dengan menggunakan bahasa pemrograman Java. Pengembangan model berfokus pada bagaimana agen dapat membantu dalam melakukan peramalan terhadap kebutuhan stocking barang yang kemungkinan akan dipesan. Konsep yang diterapkan pada agen berdasarkan metodesingle exponential smoothing, dengan menggunakan histori barang selama 2 tahun terakhir.Evaluasi dilakukan terhadap 24data histori data permintaan selama 2 tahun.Metode perbaikan data dengan menggunakan MSE dengan hasil paling optimal antara nilai alpha 0.3 hingga 0.6
Analisa Dan Penerapan Metode Single Exponentian Smoothing Dan Multi Agent Sistem Pada Prediksi Penjualan
Get PDFPada dunia bisnis stok barang merupakan sebuah hal yang sulit untuk diprediksi. Banyak hal yang menjadi penentu factor jumlah stocking barang. Salah satu factor utama adalah jumlah pesanan dan kondisi ekonomi.Isu menarik dari proses peramalan kebutuhan barang adalah mendelegasikan tugas tersebut kepada asisten pribadi berupa perangkat lunak komputer. Kegiatan pengerajin untuck melakukan stocking barang akan sangat terbantu oleh perangkat lunak ini. Pendekatan perangkat lunak berbasis kecerdasan agen (intelligent agent) memungkinkan untuk membantu pengerajin dalam menentukan kemungkinan stok barang pada bulan selanjutnya.Perangkat lunak berbasis intelligent agent ini dirancang menggunakan metodologi Prometheus, dan dikembangkan melalui platform JADE dengan menggunakan bahasa pemrograman Java. Pengembangan model berfokus pada bagaimana agen dapat membantu dalam melakukan peramalan terhadap kebutuhan stocking barang yang kemungkinan akan dipesan. Konsep yang diterapkan pada agen berdasarkan metodesingle exponential smoothing, dengan menggunakan histori barang selama 2 tahun terakhir.Evaluasi dilakukan terhadap 24data histori data permintaan selama 2 tahun. Metode perbaikan data dengan menggunakan MSE dengan hasil paling optimal antara nilai alpha 0.3 hingga 0.6
UTILIZATION OF DHT11 AND HC-06 SENSORS IN HUMIDITY AND TEMPERATURE CONTROL OF MUSHROOM CAGE
Get PDFThe need for food and healthy food is increasing now with the development of technology about food processing, especially foods with mushroom types. Oyster mushroom is one type of mushroom that is safe for consumption, because oyster mushroom is one kind of complementary food besides rice which has high nutritional value. Due to having a considerable economic value resulting in a lot of oyster mushroom cultivation which is a type of small business that starts from breeding, production, and processing of oyster mushrooms. Oyster mushrooms can grow in the area around the house, oyster mushroom cultivation takes into account several factors including air humidity, air temperature, and lighting regulation, this type of fungus should not be exposed to direct sunlight. In order to maximize yield, we need a kumbung. making the ideal kumbung namely mushroom kumbung which is always awake to the humidity of the air. While the media used is wood powder media mixed with katul with a composition of 15%, 2% lime, and 5% corn powder. Then the mixture is mixed with water with a composition of 60% and stirred, allowed to stand and check the degree of acidity. Then cooled put into polybags plastic and put in a barrel for cooking process (Steam) for 7 hours to sterilize the media. As for the humidity temperature is maintained between 23- 280C. The problems faced by oyster mushroom farmers in Jember City are the regulation of air temperature and humidity that are erratic, when the hot air is very dry humidity, and during the rainy season the humidity is very wet so that it interferes with the mushroom production process. So we need a mechanism that is able to deal with these problems by implementing a mushroom kumbung humidity control system automatically by using a DHT11 sensor connected to Bluetooth HC-06. The function of the DHT11 sensor has been adjusted to the temperature of oyster mushroom humidity. And the second solution is to help control the production and marketing processes by utilizing an integrated management information syste
UTILIZATION OF SENTIMENT ANALYSIS USING THE DATA SCIENCE APPROACH TO IMPROVE CUSTOMER SATISFACTION
Get PDFOne of the biggest problem for customer satisfaction is how to understand the user need and the user point of view, to make it visible social media is giving huge impact especially tweeter comment . However, the number of comments submitted is very large and become difficulty to analyse. Besides the comment data on Twitter is an unstructured type of data so that if processing uses a relational database engine the results obtained are not optimal. To deal with these problems, a big data approach is needed in data extraction combined with the comment data processing model. This study uses a combination of big data in data processing and lexicon based to analyse customer comments. Data processing using big data especially with the NoSQL approach is very effective and efficient in conducting searches on unstructured data because the search for big data is based on meta text rather than cardinality between data. While the lexicon based method used depends on the completeness of the dictionary used. The purpose of this study is to analyse comments and share whether they have positive, negative, or neutral sentiments so that they can be used as parameters in decision making in an organization
Face recognition using haar cascade classifier and FaceNet (A case study: Student attendance system)
Get PDFFace recognition is increasingly widely utilised, and there are numerous face recognition systems. Face recognition is typically utilised for attendance on e-learning platforms in the field of education. The haar cascade classifier is one method for face identification; it is used to identify facial areas. Faces are classified using an alternative model, FaceNet. In this research, we purposefully designed an e-learning platform that authenticates students based on face recognition. Based on the findings of this investigation, the system can accurately recognise faces. Ten students were evaluated based on their participation in two attendance trials. Successful presence has an achievement success value of 19, and 1 failed out of a total of 20 attempts. Several variables, such as illumination, and the use of marks on hats, that could have influenced attendance caused the experiment to fail
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
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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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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