5 research outputs found

    Menggunakan Sistem Pendukung Keputusan Penentuan Uang Kuliah Tunggal Universitas XYZ Menggunakan Algoritma Backpropagation

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    The determination of the student's single tuition fee grade at XYZ University still faces problems, one of which is the inconsistency of supporting variables which change each year based on the number of students and the level of student welfare. Determination of the class of student's single tuition fee based on the web that applies the backpropagation algorithm is designed to produce an adaptive decision-making system for changing variable determinants so that every year it is not necessary to adjust the weight in determining the student's single tuition fee group. In building a decision support system to determine the student's single tuition fee group, there are several stages including data collection, data processing, backpropagation implementation, evaluation and presentation of the model, and implementation of a web-based decision support system. During the evaluation and presentation of the model, several experiments were carried out by considering various parameters to get the best accuracy results. The accuracy of the best model produced in this study reached 86% with output in the form of a web-based decision support system that is ready to be managed by the Center for Information and Computer Technology (PUSTIKOM) of XYZ University for use by new students

    Aplikasi Pengelolaan Arsip Surat: Studi Kasus di Sekolah Dasar Negeri

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    This research aims to utilize computers as a tool for implementing information technology to enhance an individual\u27s role as an information intermediary in tasks and processes, including the collection, transmission, processing, interpretation, storage, organization, and utilization of correspondence data to obtain high-quality information. The initial implementation of letter archive management involved manual recording of letters each day using a book, leading to insufficient detailed records of both incoming and outgoing letters, often resulting in difficulties in retrieving correspondence and impeding operational efficiency. The system development method employed is the waterfall method, characterized by the requirement to complete each step before advancing to the next, ensuring a systematic approach. The stages include software requirement analysis, design, coding, testing, and maintenance. This study addresses the challenges associated with manual recording of correspondence data using books, overcoming issues of inaccuracy and lack of precision in recording both incoming and outgoing letters through the implementation of an archive management application. With the integration of this application, the letter data processing becomes more accurate, detailed, efficient, and prompt, especially with the structured storage of data in a database

    Kosakata Istilah Ekonomi Arab-Indonesia (Berita Online BBC 2016)

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    Penelitian ini bertujuan untuk menghasilkan kosakata istilah dalam bidang ekonomi yang dimuat dalam situs berita online BBC berbahasa Arab tahun 2016 dan diterjemahkan ke dalam Bahasa Indonesia yang kemudian dianalisis dari segi morfologinya. Metode yang digunakan dalam penelitian ini adalah metode kualitatif-deskriptif, penelitian ini menghasilkan data deskriptif berupa kata-kata tertulis yang dapat diamati, sedangkan deskriptif adalah sifat data penelitian kualitatif. Wujud datanya berupa deskripsi objek penelitian. Data deskriptif ini di hasilkan dari berita BBC Arab online sebagai sumber primer, dan buku yang berkaitan dengan penerjemahan dan pembentukan istilah ekonomi, kamus-kamus istilah ekonomi berbasis aplikasi, itu semua sebagai sekunder. Penelitian ini selain mengkaji cara pembentukan istilah ekonomi pada berita online BBC Arab 2016 mengkaji aspek morfologi istilah-istilah ekonomi dalam berita tersebut. Istilahistilah ekonomi tersebut dibentuk mengikuti bermacam-macam struktur/ pola (wazn) dan forma (shighah/ slot) tertentu. Terdapat dari data yang tersedia istilah dibentuk mengikuti forma mashdar, forma ism fa?il, forma ism maf?ul, dll. Selain itu beberapa gabungan satuan istilah disatukan oleh beberapa konstruksi, yaitu istilah dibentuk dalam konstruksi na?tiy, konstruksi idhafiy, konstruksi jariy, konstruksi mazjiy, dan konstruksi kata mandiri atau disebut dalam bahasa Arab bunyah basithah. Hasil akhir dari penelitian ini adalah mengetahui cara pembentukkan kosakata istilah ekonomi.xii, 77 hlm.: ilus.; 25 c

    Spatial Skyline Query Based on Surrounding Environment Untuk Data Streaming Menggunakan Apache-Spark

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    Previous research on Spatial Skyline Query Based on Surrounding Environment left a challenge in finding skyline objects that support the use of mobile devices. This study introduces a method that allows users to search for spatial objects dynamically. Cloud-based streaming data services are currently available to support the dynamic search of spatial skyline objects. Under these conditions, streaming data requires a longer processing time. This study aims to examine the effectiveness and efficiency of Apache-Spark in developing Spatial Skyline Query Based on Surrounding Environment in processing streaming data. Further implementation of the developed algorithm can provide better location access for users on mobile devices. Comparative analysis of algorithm execution time is performed by comparing algorithm processing on a single processor and cluster computing using various evaluation parameters. The test results on each parameter show that the computation time of the proposed algorithm on a single computation is not as good as the previous algorithm. However, in cluster computing, the proposed algorithm is superio

    Application of the Fuzzy C-Means Method in Grouping Heart Abnormalities Based on Electrocardiogram Medical Records

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    Heart disease is the main cause of death which can be diagnosed using an electrocardiogram. This study aims to classify heart defects using the Fuzzy C Means technique. The advantage of using Fuzzy C Means is that it is unsupervised and can reach a convergent cluster center under certain conditions. It is a clustering model that has the value of the objective function, number of iterations and completed time. In an unsupervised learning, the focus is more on exploring data such as looking for patterns in the data. Clustering itself aims to identify patterns of similar data to be grouped. It can be a solution to overcome the process of determining the risk of heart disease. The results showed that there were 10 data grouped into cluster 1 and 10 data into cluster 2. The first group (Cluster 1) consisted of patients with serial numbers 3,5,8,9,11,12,16,17,19,20, while the second group (Cluster 2) consisted of patients with serial numbers 1,2,4,6,7,10,13,14,15 and 18. Accuracy testing results in a success rate of 60%
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