GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Applied of Classification Technique in Data Mining For Credit Scoring
    STMIK AKBA ; 2022
    In:  Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 12, No. 2 ( 2022-12-31), p. 97-104
    Details
    In: Inspiration: Jurnal Teknologi Informasi dan Komunikasi, STMIK AKBA, Vol. 12, No. 2 ( 2022-12-31), p. 97-104
    Abstract: In the development of the banking business, credit issues remain interesting to study and uncover. Most of the problems occur not in the system implemented by the bank, but the problem occurs precisely in the human resources who manage credit, either in their relationship with consumers or in errors on the part of the bank which mispredicts in assessing consumers who apply for credit. Several studies in the computer field have been carried out to reduce credit risk which causes losses to the company. In this study, a comparison of the Naive Bayes, C4.5 and KNN algorithms was carried out which was applied to consumer data that received credit eligibility for good and bad customers. The best prediction results are nave Bayes with an accuracy of 95.95% and an AUC of 0.974. The results of this classification are implemented in the form of a website-based application that can be used to facilitate related parties in the credit scoring system.
    Type of Medium: Online Resource
    ISSN: 2621-5608 , 2088-6705
    URL: Article
    DOI: 10.35585/inspir.v12i2.17
    Language: Unknown
    Publisher: STMIK AKBA
    Publication Date: 2022
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    Klasifikasi Komentar Instagram untuk Identifikasi Keluhan Pelanggan Jasa Pengiriman Barang dengan Metode SVM dan Naïve Bayes Berbasis Teknik Smote
    Universitas Indraprasta PGRI ; 2020
    In:  Faktor Exacta Vol. 12, No. 4 ( 2020-02-07), p. 280-
    Details
    In: Faktor Exacta, Universitas Indraprasta PGRI, Vol. 12, No. 4 ( 2020-02-07), p. 280-
    Type of Medium: Online Resource
    ISSN: 2502-339X , 1979-276X
    URL: Issue
    URL: Article
    DOI: 10.30998/faktorexacta.v12i4
    DOI: 10.30998/faktorexacta.v12i4.4981
    Language: Unknown
    Publisher: Universitas Indraprasta PGRI
    Publication Date: 2020
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    CLASSIFICATION OF STUDENT SATISFACTION WITH ONLINE LECTURE
    Kresnamedia Publisher ; 2021
    In:  Jurnal Riset Informatika Vol. 4, No. 1 ( 2021-12-12), p. 105-110
    Details
    In: Jurnal Riset Informatika, Kresnamedia Publisher, Vol. 4, No. 1 ( 2021-12-12), p. 105-110
    Abstract: Abstra Covid-19 has had a significant impact on people's lives, resulting in the paralysis of almost the entire economy and education, especially in the education sector, resulting in many students being unable to carry out teaching and learning activities at schools or universities. Based on this, the Ministry of Education and Culture has issued an appeal to stop face-to-face teaching and learning activities at schools and universities and replace them with distance or online learning. Resulting in teaching and learning activities to be less than optimal for students or students, there is dissatisfaction with the distance or online learning system, the purpose of this study is to measure the level of student satisfaction with online lectures by applying data mining techniques, classifying the level of online learning satisfaction using an online learning approach. k-NN algorithm and Decision Tree with 100 questionnaire data that has been collected from active students who carry out online lectures with an accuracy rate of 96.00% from the k-NN algorithm and a satisfied precision value of 95.51%, a satisfied recall value of 98.84% on a precision value the dissatisfied class is 90.91%, the recall value of the dissatisfied class is 71.43%. While the accuracy results using the Decision Tree algorithm approach is lower with an accuracy of 95.00%. based on research results that the level of student satisfaction with distance learning or online is quite high. Keywords: covid 19, data mining, online, k-NN, decision tree
    Type of Medium: Online Resource
    ISSN: 2656-1735 , 2656-1743
    URL: Issue
    URL: Article
    DOI: 10.34288/jri.v4i1
    DOI: 10.34288/jri.v4i1.299
    Language: Unknown
    Publisher: Kresnamedia Publisher
    Publication Date: 2021
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 4
    Online Resource
    Online Resource
    COMPARISON OF CLASSIFICATION ALGORITHMS FOR ANALYSIS SENTIMENT OF FORMULA E IMPLEMENTATION IN INDONESIA
    Kresnamedia Publisher ; 2022
    In:  Jurnal Riset Informatika Vol. 4, No. 3 ( 2022-06-20), p. 291-298
    Details
    In: Jurnal Riset Informatika, Kresnamedia Publisher, Vol. 4, No. 3 ( 2022-06-20), p. 291-298
    Abstract: The Formula E racing series has become one of the world's most prestigious competitions. In 2022, Indonesia hosted the famous Formula E race. The event possesses the potential for economic benefits for Indonesia worth 78 million euros through the arrival of 35,000 spectators. Indonesians are enthusiastic about Formula E since it allows their nation to encourage tourists and gain international prominence. However, some people do not support this event. Since they regard that amid the COVID-19 pandemic, it is preferable for the government to focus on people affected by the pandemic rather than support a Formula E event. This study compares the Support Vector Machine and Naive Bayes algorithms in classifying public opinion in the Formula E race. This study gets its information from user comments on social media platforms, especially Twitter. The stages start with text preprocessing and include cleaning, case folding, tokenization, filtering, and stemming. Proceed with weighting using the TF-IDF approach. Data testing uses a confusion matrix to evaluate the classification results by testing accuracy, precision, and recall. Categorizing public opinion using the SVM algorithm has an accuracy of 82 percent, a precision of 97.86 percent, and a recall of 77.90 percent. On the other hand, the accuracy of the Naive Bayes technique is more limited, at 87.54 percent. Society's opinion on Twitter shows positive sentiment towards implementing Formula E.
    Type of Medium: Online Resource
    ISSN: 2656-1735 , 2656-1743
    URL: Issue
    URL: Article
    DOI: 10.34288/jri.v4i3
    DOI: 10.34288/jri.v4i3.400
    Language: Unknown
    Publisher: Kresnamedia Publisher
    Publication Date: 2022
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 5
    Online Resource
    Online Resource
    Implementation of the Association Method in the Analysis of Sales Data from Manufacturing Companies
    Kresnamedia Publisher ; 2022
    In:  Jurnal Riset Informatika Vol. 5, No. 1 ( 2022-12-14), p. 593-598
    Details
    In: Jurnal Riset Informatika, Kresnamedia Publisher, Vol. 5, No. 1 ( 2022-12-14), p. 593-598
    Abstract: The company produces sales data every day. Over time, the data increases, and the amount becomes very large. The data is only stored without understanding the benefits that exist from these data due to limitations in proper knowledge in analyzing the data, especially transaction data. Sale. To overcome these problems, a study focused on reprocessing sales transaction data in 2018 with a data mining technique approach using the Knowledge Discovery in Database (KDD) concept using the association method and apriori algorithm and a supporting application, namely RapidMiner. This study aims to help companies find customer buying habits or patterns based on 2018 sales transaction data. The results of this study produce 316 association rules where the best rules are generated on record 309 with PRO 889 & PRO 868 PRO 869 rules.
    Type of Medium: Online Resource
    ISSN: 2656-1735 , 2656-1743
    URL: Issue
    URL: Article
    DOI: 10.34288/jri.v5i1
    DOI: 10.34288/jri.v5i1.491
    Language: Unknown
    Publisher: Kresnamedia Publisher
    Publication Date: 2022
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 6
    Online Resource
    Online Resource
    Komparasi Algoritma Klasifikasi untuk Orientasi Minat Mahasiswa dalam Penuntasan Studi
    Ahlimedia Press ; 2021
    In:  JIRA: Jurnal Inovasi dan Riset Akademik Vol. 2, No. 7 ( 2021-07-29), p. 970-1007
    Details
    In: JIRA: Jurnal Inovasi dan Riset Akademik, Ahlimedia Press, Vol. 2, No. 7 ( 2021-07-29), p. 970-1007
    Abstract: Politeknik Tri Mitra Karya Mandiri adalah salah satu perguruan tinggi vokasi yang berada di wilayah Cikampek Kabupaten Karawang yang pada tahun akademik 2017/2018 mempunyai jumlah mahasiswa mencapai 987 orang mahasiswa.Namun sayangnya dari total jumlah mahasiswa tidak seluruhnya mempunyai orientasi minat yang sesungguhnya untuk kuliah, banyak factor yang mempengaruhinya. Tinginya tingkat orientasi minat mahasiswa yang tidak memilih kuliah, inilah yang membuat diadakan penelitian tentang sebab-sebab mengapa mahasiswa berkuliah dikampus ini serta mecari solusi guna mengurangi jumlah mahasiswa yang menjadi non aktif ketika diketahui mempunyai orientasi minat yang bukan untuk kuliah. Dengan melakukan komparasi menggunakan 3 algoritma yang termasuk dalam metode klasifikasi data mining yaitu; Decision Tree C4.5, Naïve Bayes dan K-Nearest Neighbor penelitian ini mencari nilai akurasi dan Area Under Curve (AUC) yang terbaik dari ketiga algoritma yang dikomparasi guna ditentukan model yang digunakan pada penentuan orientasi minat mahasiswa. Hasil dari komparasi yang dilakukan dalam penelitian ini adalah; algoritma Decision Tree C4.5 mempunyai nilai akurasi sebesar 91,75% dan AUC sebesar 0,969, Naïve Bayes mempunyai nilai akurasi sebesar 86,77% dan AUC sebesar 0,930 sedangngkan K-Nearest Neighbor mempunyai nilai akurasi sebesar 88,61% dan AUC sebesar 0,500. Melalui uji beda yang dilakukan menggunakan operator T-test pada Rapid Miner ditemukan hasil bahwa algoritma Decision Tree C4.5 merupakan algoritma terbaik dari 3 buah algoritma yang digunakan, maka dalam penelitian ini digunakan rule Decision Tree C4.5 untuk diterapkan pada deployment yang dilakukan.
    Type of Medium: Online Resource
    ISSN: 2745-7036 , 2745-6056
    URL: Issue
    URL: Article
    DOI: 10.47387/jira.v2i7
    DOI: 10.47387/jira.v2i7.185
    Language: Unknown
    Publisher: Ahlimedia Press
    Publication Date: 2021
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 7
    Online Resource
    Online Resource
    CLASSIFICATION OF CUSTOMER COMPLAINTS ON INSTAGRAM COMMENTS USING NAÏVE BAYES ALGORITHM WITH N-GRAM FEATURE EXTENSION
    LPPM Universitas Nusa Mandiri ; 2020
    In:  Jurnal Techno Nusa Mandiri Vol. 17, No. 2 ( 2020-09-15), p. 109-116
    Details
    In: Jurnal Techno Nusa Mandiri, LPPM Universitas Nusa Mandiri, Vol. 17, No. 2 ( 2020-09-15), p. 109-116
    Abstract: Customer complaints about the company can be used as a form of self-evaluation and performance that has been carried out by the company, based on customer complaints the company can find out the weaknesses that exist in the company and fix them. The forms of submitting customer complaints are very diverse, currently not only by telephone, but customers also submit suggestions or complaints, customers can submit suggestions or complaints via electronic mail or e-mail or forums in cyberspace that are indeed created by product-producing companies to accommodate various complaints, suggestions, and direct criticism from consumers, especially social media that are free to express opinions on the delivery services used. Instagram is a social media that is more inclined towards images and on the other hand, has captions and comments text, a study is needed for the problem of customer complaints from shipping service users on an Instagram account of a delivery service company. Based on this background, a solution is needed in solving problems for text mining classification using Naïve Bayes with SMOTE techniques and N-Gram feature extraction with the usual process for text mining so that it can produce Naïve Bayes and SMOTE accuracy with an accuracy of 88.54%, before implementation. N-Gram and the accuracy rate increased by 1.44% after the N-Gram Term was applied to 89.98% by using a dataset of 776 Instagram comment text records that had to preprocess text.
    Type of Medium: Online Resource
    ISSN: 2527-676X , 1978-2136
    URL: Issue
    URL: Article
    DOI: 10.33480/techno.v17i2
    DOI: 10.33480/techno.v17i2.1632
    Language: Unknown
    Publisher: LPPM Universitas Nusa Mandiri
    Publication Date: 2020
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 8
    Online Resource
    Online Resource
    Implementation of the Saw Method to Discover the Optimum Internet Service Recommendations for Online Gaming
    Kresnamedia Publisher ; 2023
    In:  Jurnal Riset Informatika Vol. 5, No. 3 ( 2023-06-10), p. 387-392
    Details
    In: Jurnal Riset Informatika, Kresnamedia Publisher, Vol. 5, No. 3 ( 2023-06-10), p. 387-392
    Abstract: Currently, the development and use of the Internet have a more complex function so that it can change the paradigm of people's lives, including in aspects of entertainment, especially games. With the rise of numerous ISPs in Indonesia, different internet service packages are now available, particularly for gamers, such as Indihome, Biznet, First Media, and My Republic. The variety of services makes it difficult for users to choose an internet package that suits their needs. Therefore, this research aims to build a decision support system that can facilitate users in choosing the ideal internet service for gamers based on five criteria: quota, network speed, connection, cost, and the number of users using the SAW method. The data collection methods used are observation, questionnaires, and interviews. The research results obtained from data processing using the SAW method through Microsoft Excel are then implemented into a website-based program. With this program, it is hoped that it can be a tool for users in determining the service package to be purchased.
    Type of Medium: Online Resource
    ISSN: 2656-1735 , 2656-1743
    URL: Issue
    URL: Article
    DOI: 10.34288/jri.v5i3
    DOI: 10.34288/jri.v5i3.547
    Language: Unknown
    Publisher: Kresnamedia Publisher
    Publication Date: 2023
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 9
    Online Resource
    Online Resource
    TANGGUNG JAWAB HUKUM RUMAH SAKIT TERHADAP PASIEN HEALTH CARE-ASSOCIATED INFECTIONS (HAIS)
    Universitas swadaya Gunung Djati ; 2020
    In:  HERMENEUTIKA : Jurnal Ilmu Hukum Vol. 4, No. 1 ( 2020-02-29)
    Details
    In: HERMENEUTIKA : Jurnal Ilmu Hukum, Universitas swadaya Gunung Djati, Vol. 4, No. 1 ( 2020-02-29)
    Abstract: Rumah Sakit memiliki peran penting dalam mewujudkan derajat kesehatan masyarakat secara optimal, untuk itu dituntut agar mampu mengelola secara professional dan bertanggung jawab, mengusung arus keutamaan tanggung jawab profesi pada aspek kesehatan, khususnya tenaga medis dan tenaga keperawatan dalam menjalankan tugas dan wewenangnya.  Health-Care Associated Infection (HAIs) penyebabnya terkait dengan proses dan sistem kesehatan. Aspek pertanggungjawaban hukum Rumah Sakit terhadap pasien yang terkena Health care-associated Infections (HAIs) menjadi fokus kajian, dengan pendekatan penelitian yuridis normatif, pada perspektif hukum sebagai kaidah tertulis yang tertuang dalam produk perundang-undangan yang berlaku. Rumah Sakit bertanggung jawab atas tindakan kelalaian tenaga kesehatan di Rumah Sakit, yang menyebabkan kerugian pada pasien, dibutuhkan adanya perlindungan hukum yang memadai sebagaimana tertuang dalam peraturan hukum secara normatif. Dalam hal perlindungan pasien, sebelum pelaksanaan pelayanan medis yang berkaitan dengan tindakan medis, tenaga kesehatan memberikan edukasi terhadap pasien terlebih dahulu, berupa penjelasan mengenai informasi, risiko yang terjadi, serta bentuk penanganannya. Apabila pasien merasa dirugikan dalam hal materiil maupun imateriil, pasien dapat mengajukan gugatan kepada Rumah Sakit yang melakukan kelalaian dan kesalahan, sebagai salah satu bentuk tanggung jawab hukum yang timbul.
    Type of Medium: Online Resource
    ISSN: 2615-4439 , 1978-8487
    URL: Issue
    URL: Article
    DOI: 10.33603/hermeneutika.v4i1
    DOI: 10.33603/hermeneutika.v4i1.3277
    Language: Unknown
    Publisher: Universitas swadaya Gunung Djati
    Publication Date: 2020
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 10
    Online Resource
    Online Resource
    Implementation of the Saw Method to Discover the Optimum Internet Service Recommendations for Online Gaming
    Kresnamedia Publisher ; 2023
    In:  Jurnal Riset Informatika Vol. 5, No. 3 ( 2023-06-23), p. 387-392
    Details
    In: Jurnal Riset Informatika, Kresnamedia Publisher, Vol. 5, No. 3 ( 2023-06-23), p. 387-392
    Abstract: Currently, the development and use of the Internet have a more complex function so that it can change the paradigm of people's lives, including in aspects of entertainment, especially games. With the rise of numerous ISPs in Indonesia, different internet service packages are now available, particularly for gamers, such as Indihome, Biznet, First Media, and My Republic. The variety of services makes it difficult for users to choose an internet package that suits their needs. Therefore, this research aims to build a decision support system that can facilitate users in choosing the ideal internet service for gamers based on five criteria: quota, network speed, connection, cost, and the number of users using the SAW method. The data collection methods used are observation, questionnaires, and interviews. The research results obtained from data processing using the SAW method through Microsoft Excel are then implemented into a website-based program. With this program, it is hoped that it can be a tool for users in determining the service package to be purchased.
    Type of Medium: Online Resource
    ISSN: 2656-1735 , 2656-1743
    URL: Issue
    URL: Article
    DOI: 10.34288/jri.v5i3
    DOI: 10.34288/jri.v5i3.232
    Language: Unknown
    Publisher: Kresnamedia Publisher
    Publication Date: 2023
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...