1,720,974 research outputs found
Penerapan Data Maining Menggunakan Algoritma C4.5 dalam Penilaian Kelayakan Pemberian Kredit Kepada Mitra Usaha PT Internasional Asia Prima
Get PDFThis research aims to investigate the application of the C4.5 algorithm method in assessing the feasibility of granting credit to business partners by PT Internasional Asia Prima. PT Internasional Asia Prima is a financial industry company with various business partners in need of financial support for their growth. The decision-making process regarding the provision of credit to business partners is a critical aspect of the company's risk management. The C4.5 method is one of the artificial intelligence methods used for decision-making based on rules identified from historical data. This research collects and analyzes historical data on credit approval for business partners by PT Internasional Asia Prima. The C4.5 method is then implemented to generate a predictive model that can assist in assessing the feasibility of future credit approvals. The results of the research indicate that the C4.5 method can significantly contribute to improving the accuracy of assessing the feasibility of granting credit to business partners. With this model, the company can be more effective in identifying potential risks and optimizing their credit portfolio. The implications of this research include enhancements in risk management and the potential for increased company profitabilit
Segmentasi Tingkat Pemakaian Material dengan Data Mining Clustering
Get PDFTechnology that plays an active role in human activities is communication technology that we can find on mobile devices or computers that have internet access. PT. Telkom Akses Kantor Telkom Marina is a subsidiary of PT Telekomunikasi Indonesia Tbk (Persero) commonly called Telkom Indonesia or Telkom which is the largest information and communication company and telecommunications service and network provider in Indonesia. Located in the Riau Islands region, precisely Batam City provides job services for Installing New Channels (PSB) such as installation of internet, telephone, cable TV, and maintenance in fiber optic networks both in residential areas, buildings, shop houses and malls with distribution of Sagulung, Lubuk Baja and Batam Center. PT. Telkom Telkom Akses Kantor Telkom Marina has difficulty in meeting the minimum stock of each material based on the request for use of the distribution area. From the data on the use of existing material, it is only used for recording material usage only, while stored data is never reprocessed. Evaluation of segmentation / mapping is very important to find out whether the needs really have been met. The results of this study are expected to be able to cluster data on material usage data and the use of the K-Means method to provide results overview for material usage segmentation. The goal is for companies to be able to do and increase inventory of materials that are often ordered for each region.
Keywords: segmentation, usage, material, k-meansTeknologi yang sangat berperan aktif dalam kegiatan manusia adalah teknologi komunikasi yang bisa kita temukan pada perangkat mobile atau komputer yang memiliki akses internet. PT. Telkom Akses Kantor Telkom Marina merupakan anak perusahaan PT Telekomunikasi Indonesia Tbk (Persero) biasa disebut Telkom Indonesia atau Telkom yang merupakan perusahaan informasi dan komunikasi serta penyedia jasa dan jaringan telekomunikasi yang terbesar di Indonesia. Berlokasi di wilayah Kepulauan Riau, tepatnya Kota Batam menyediakan jasa pekerjaan Pasang Saluran Baru (PSB) seperti pemasangan internet, telepon, tv cable, dan maintenance dalam jaringan fiber optik baik di kawasan perumahan, gedung, ruko maupun mall dengan distribusi wilayah Sagulung, Lubuk Baja dan Batam Center. PT. Telkom Akses Kantor Marina mengalami kesulitan dalam memenuhi stok minimum tiap material berdasarkan request pemakaian wilayah distribusi. Dari data pemakaian material yang ada, hanya digunakan untuk pencatatan pemakaian material saja, sementara data yang tersimpan tidak pernah diolah kembali. Evaluasi tentang segmentasi/ mapping sangat penting untuk mengetahui apakah kebutuhan benar-benar telah terpenuhi. Hasil dari penelitian ini diharapkan data mining mampu melakukan clustering terhadap data pemakaian material serta penggunaan metode K-Means memberikan gambaran hasil untuk segmentasi pemakaian material. Tujuannya agar perusahaan mampu melakukan dan meningkatkan persediaan terhadap material yang sering dipesan untuk setiap wilayah.
Kata kunci: segmentasi, pemakaian, material, k-mean
Combination, Pola, Apriori ANALISIS POLA BELANJA KONSUMEN MENGGUNAKAN ALGORITMA APRIORI PADA RAFFA PHOTOCOPY
No full textRaffa Photocopy is a shop that started its business in 2016. This business not only provides photocopy services, but also provides office stationery and school supplies. Every day there are sales transactions where the recording of goods sold has a relationship between one another, because in recording sometimes consumers do not just buy one item, but two items even more as when buying a book, it is likely that consumers also buy a pen. This recording is only stored as an archive by Raffa Photocopy, even though the number of sales transactions that occur every day can lead to a pile of data. One effort to increase sales at Raffa Photocopy can be done by processing transaction data that overlaps by using data mining association techniques. This association rule technique uses the Apriori algorithm which deals with the study of 'what is with what' or discovers the association pattern of items that are often bought. The results of this study in the form of rules include the first, if you buy an eraser, it is likely that consumers also buy notebooks simultaneously. Second, if you buy Tipex, then consumers also buy a double folio. The results of the Apriori algorithm process are based on a minimum support value of 35% and a minimum confidence value of 80%
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
Analisis Pola Penyakit Hipertensi Menggunakan Algoritma C4.5
Get PDFThere are approximately 95% of cases of unknown cause of hypertension, while the rest caused by other diseases such as coronary heart disease, impaired kidney function, and impaired cognitive function or stroke. RSUD Embung Fatimah is an Indonesian hospital located in Batam Island Riau Province. In 2015, the total number of inpatients for hospitalization reaches 10,317 inhabitants. With the large number of patients per year it causes patient data is increasing. To overcome the problem in tackling people with hypertension disease, it is necessary to analyze the existing disease data, to predict the patient's illness which must be handled based on the pattern of the disease. In data mining there is a model that can be used to predict a pattern in a condition that is predictive or prediction model. One of the algorithms that can be used to create a decision tree (decission tree) is the C4.5 algorithm. The C4.5 algorithm is a method used for predictive classification. Using C4.5 algorithm method, the researcher can classify the pattern of hypertension as a comorbid illness of heart failure, kidney failure, diabetes, stroke and hypoglycemia. In this study, researchers used WEKA (Waikato Environment for Knowledge Analysis) software as tools or tools used to perform testing in order to obtain the pattern of disease from hypertension. From the research findings in the find that in the prediction of hypertension disease as a disease, the attributes that are very influential to hypertension are heart failure
Analisa Algoritma C4.5 Untuk Memprediksi Penjualan Motor Pada Pt. Capella Dinamik Nusantara Cabang Muka Kuning
Get PDFMotor menjadi pilihan setiap orang sebagai andalan transportasi karena dari harga yang terjangkau serta dapat digunakan dalam jangka waktu yang lama. Di Indonesia sendiri, motor yang paling banyak diminati adalah motor merk Honda. Tercatat sebagai pemimpin pasar, dengan kontribusi 72,28 persen dan total penjualan sebesar 2.362.047 unit pada tahun 2016 (menurut Asosiasi Industri Sepeda Motor Indonesia). Untuk wilayah kota Batam perusahaan yang menjual motor Honda salah satunya adalah PT. Capella Dinamik Nusantara Cabang Muka Kuning. Wilayah penjualan sangat mempengaruhi terhadap penjualan motor, selain ke showroom langsung, dibeberapa tempat ramai seperti mall bisa menjadi promosi dan penjualan motor karena mudah dijangkau oleh masyarakat. Jumlah data yang sangat banyak akan sangat sulit untuk dianalisa. Analisa diperlukan untuk melihat pola dari data penjualan sehingga dapat menghasilkan prediksi penjualan motor yang nantinya akan berguna untuk pendistribusian motor dibeberapa wilayah. Dari data konsumen yang begitu banyak, maka dilakukan Data Mining dengan menggunakan algoritma C4.5. Hasil dari kegiatan mining ini diharapkan dapat memberikan sebuah pohon keputusan untuk melihat pola prediksi perilaku konsumen membeli motor
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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