1,720,990 research outputs found
REMOTE VIRTUAL THE DATA STORAGE
Almost all computer users know Windows Explorer. With the windows explorer, a user could do the operation file/directory, such as seeing the structure of the hierarchy from the directory, copied some files et cetera. In other words, a window explorer had file manager facilities. This research will discuss the development of the application of the data storage based on web that had file manager facilities (remote virtual the data storage) with the previleges. This research could be applied for the management of the lectures data in the class or in the computer laboratory of a institution.
Abstract in Bahasa Indonesia :
Hampir setiap pengguna komputer mengenal Windows Explorer. Karena dengan Windows Explorer, user dapat melakukan operasi file/direktori, seperti melihat struktur hirarki dari direktori, menyalin file dan lain sebagainya. Dengan kata lain, window explorer memiliki fasilitas pengaturan file (file manager). Penelitian ini akan membahas pembangunan aplikasi penyimpanan data berbasis web yang mempunyai fasilitas pengaturan file (remote virtual the data storage) dengan hak akses yang berbeda (previleges). Penelitian ini dapat diimplementasikan untuk manajemen data perkuliahan di kelas maupun di laboratorium komputer suatu perguruan tinggi.
Kata kunci: remote virtual the data storage, file manager, web, NAS
REMOTE VIRTUAL THE DATA STORAGE
Almost all computer users know Windows Explorer. With the windows explorer, a user could do the operation file/directory, such as seeing the structure of the hierarchy from the directory, copied some files et cetera. In other words, a window explorer had file manager facilities. This research will discuss the development of the application of the data storage based on web that had file manager facilities (remote virtual the data storage) with the previleges. This research could be applied for the management of the lectures data in the class or in the computer laboratory of a institution.
Abstract in Bahasa Indonesia :
Hampir setiap pengguna komputer mengenal Windows Explorer. Karena dengan Windows Explorer, user dapat melakukan operasi file/direktori, seperti melihat struktur hirarki dari direktori, menyalin file dan lain sebagainya. Dengan kata lain, window explorer memiliki fasilitas pengaturan file (file manager). Penelitian ini akan membahas pembangunan aplikasi penyimpanan data berbasis web yang mempunyai fasilitas pengaturan file (remote virtual the data storage) dengan hak akses yang berbeda (previleges). Penelitian ini dapat diimplementasikan untuk manajemen data perkuliahan di kelas maupun di laboratorium komputer suatu perguruan tinggi.
Kata kunci: remote virtual the data storage, file manager, web, NAS
Marketing Strategy Using Frequent Pattern Growth
The biggest problem faced by printing companies during the Covid-19 pandemic was that the number of orders was unstable and tends to decrease, which had the potential to harm the company. Therefore, various appropriate marketing strategies were needed so that the number of product orders was relatively stable and even increases. The impact was that the company could survive and continued to grow. This study aimed to assist company managers in developing appropriate marketing strategies based on association rules generated from one of the data mining methods, namely the Frequent Pattern Growth (FP-Growth) method. The case study of this research was a printing company where there was no similar research that used a printing company's dataset. This study produced nine association rules that meet a minimum of 25% support and a minimum of 60% confidence, but only two association rules that had a high positive correlation, namely for a custom paper bag and banner products. Therefore, several marketing strategies were suggested that could be used as guidelines for companies in managing sales packages and giving special discounts on a product. The results of this study are expected to trigger an increase in the number of product orders because this study tried to find the right product for consumers and did not try to find the right consumers for a product
Deteksi Serangan Denial of Service pada Internet of Things Menggunakan Finite-State Automata
Internet of things memiliki kemampuan untuk menghubungkan obyek pintar dan memungkinkan mereka untuk berinteraksi dengan lingkungan dan peralatan komputasi cerdas lainnya melalui jaringan internet. Namun belakangan ini, keamanan jaringan internet of things mendapat ancaman akibat serangan cyber yang dapat menembus perangkat internet of things target dengan menggunakan berbagai serangan denial of service. Penelitian ini bertujuan untuk mendeteksi dan mencegah serangan denial of service berupa synchronize flooding dan ping flooding pada jaringan internet of things dengan pendekatan finite-state automata. Hasil pengujian menunjukkan bahwa pendekatan finite-state automata berhasil mendeteksi serangan synchronize flooding dan ping flooding pada jaringan internet of things, tetapi pencegahan serangan tidak secara signifikan mengurangi penggunaan prosesor dan memori. Serangan synchronize flooding menyebabkan delay saat mengaktifkan/menonaktifkan peralatan internet of things sedangkan serangan ping flooding menyebabkan error. Implementasi bash-iptables berhasil mengurangi serangan synchronize flooding dengan efisiensi waktu pencegahan sebesar 55,37% dan mengurangi serangan ping flooding sebesar 60% tetapi dengan waktu yang tidak signifikan
The Housing Recommendation System Uses Multi-Criteria Decision-Making Methods
Economic and population growth, increasing urbanization, changing habits, new welfare requirements, and lower interest rates have led to increased demand for housing in cities. However, housing conditions in many cities are slightly alarming, while housing is a primary need for the community. Selecting housing for low-income people (LIP) that meets the criteria required by LIP is not an easy task. Because most of the decisions people made did not utilize detailed information. Therefore, a recommendation system for LIP is required. This study aims to develop the housing selection recommendation system for LIP that best suits their wishes. This study integrated two multi-criteria decision-making (MCDM) methods: the Best Worst (BW) method, which has fewer pairwise comparisons compared to other MCDM methods for selecting criteria and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for determining housing recommendations for LIP according to their wishes. Based on the analysis results, ten criteria dominate the housing selection for LIP sequentially: Location, Land Size, Down Payment, Public Facilities, Price, Booking Fee, Home Design, House Specifications, House Quality, and Home Ownership Credit. Furthermore, the sensitivity analysis results showed that the robustness score of this approach was high. The model could recommend housing for LIP that best suits their wishes
Customer Segmentation For Digital Marketing Based on Shopping Patterns
Customer segmentation is the customer grouping based on similar shopping behavior or patterns. Inappropriate customer segmentation can have negative impacts, such as lost marketing opportunities, resource inefficiencies, loss of potential customers, and decreased performance, and business profits, especially in customer satisfaction. Therefore, this study aims to develop a customer segmentation model for digital marketing. This model is based on customer shopping patterns using the Recency-Frequency-Monetary (RFM) model and the Partitioning Around Medoids (PAM) method. The research data is historical customer purchase data consisting of 18,535 transactions and 541,909 transaction details from 4,339 customers for 3,665 product items over two years. The research variables focus on the model used: recency, frequency, and monetary. The five customer segments generating from this study are main, potential, general, minimum, and prospective customer. The internal validation results show that the minimum C-Index value is 0.1429 (close to zero), and the maximum Calinski-Harabasz Index value is 512.9553. It shows that the quality of customer segmentation results is good. In other words, the model can identify correlations between customer segments and shopping patterns and preferences. In this way, marketers can optimize services, adjust strategies, and offer the right products for each customer segment. Further research can be directed at product segmentation.
Keywords: partitioning around medoids, digital marketing, shopping pattern, recency-frequency-monetary, customer segmentatio
Single Exponential Smoothing Method to Predict Sales Multiple Products
—Activity to predict sales multiple products intended for control of the number of existing stock, so the lack or excess stock can be minimized. When the number of sales can be accurately predicted, then the fulfilment of consumer demand can be cultivated in a timely and cooperation with suppliers maintained properly so that company can avoid losing sales and customers. This study aims to predict sales multiple products (6,877 products) using Single Exponential Smoothing (SES) approach, which is expected to improve the efficiency of the inventory system. Measurement accuracy of prediction in this study using a standard measurement Mean Absolute Percentage Error (MAPE), which is the most important criteria in analyzing the accuracy of the prediction. The results showed that the average of percentage prediction error of products using SES is high, because MAPE value obtained is 1.056% with a smoothing parameter α = 0.
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
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