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Analisis Dan Penerapan Algoritma K-Means Dalam Strategi Promosi Kampus Akademi Maritim Suaka Bahari: Tuti Hartati*, Odi Nurdiawan, Eko Wiyandi Hartati, Tuti; Nurdiawan, Odi; Wiyandi, Eko
Nama Jurnal Akmi Vol 3 No 1 (2021): Jurnal Sitektransmar Mei 2021
Publisher : LPPM AKMI SUAKA BAHARI CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51578/j.sitektransmar.v3i1.30

Abstract

The process of accepting new cadet candidates at the Maritime Academy of Marine Sanctuary every year, produces a lot of data in the form of profiles of prospective cadets. The activity caused a large accumulation of data, it became difficult to identify prospective cadets. This research discusses the application of data mining to generate profiles that have similar attributes. One of the data mining techniques used to identify a group of objects that have the same characteristics is Cluster Analysis. The data clustering method is divided into one or more clusters that have the same characteristics called K-means. The method that the author uses is knowledge discovery in databases (KDD) consisting of Data, Data Cleaning, Data transformation, Data mining, Pattern evolution, knowledge. Implementation of K-means Clustering process using Rapid Miner. Attributes used by NIT, Level, Name, Student Status, Type of Registration, Gender, Place of Birth, Date of Birth, Religion, School Origin, School Origin Department, Religion, GPA, Subdistrict, District/ City, Province. Returns the number of clusters 30 (k=30). From the research results based on davies bouldin test on K-means algorithm resulted in the closest value of 0 is k = 29 with Davies bouldin: 0.070, with the most cluster member distribution in cluster 16 containing cluster members 115 items.
PENGEMBANGAN SISTEM PEMERIKSAAN DOKUMEN KAPAL TIBA (Si-PDKT) PADA KSOP KELAS II CIREBON Mustain, Iing; Herlina, Yeyen; Suswati, Elis; Wiyandi, Eko; Sarim, Sarim; Juanto, Rudi
Majalah Ilmiah Gema Maritim Vol 25 No 1 (2023): Gema Maritim Vol 25 No 1 Bulan Maret 2023
Publisher : Politeknik Bumi Akpelni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37612/gema-maritim.v25i1.345

Abstract

Arriving Vessel Document Inspection System (Si-PDKT) is a web-based application that is implemented by utilizing information technology as a supporting tool for optimizing memorandum services in the process of inspecting arriving ship documents at the Class II Cirebon Harbormaster and Port Authority Office. The purpose of developing the Si-PDKT application that will be implemented in KSOP Class II Cirebon Section Legal Status and Ship Certification is more efficient management of ship data, digitally stored ship documents, avoiding document loss, facilitating the management of ship transactions, conducting validation and verification quickly . The method used is development research. In development research, a system design is carried out which is carried out in several stages based on an analysis of the needs of the system to be used. The stages are divided into 3 main stages, namely infrastructure requirements, system creation, and application usage. The research results show that the Si-PDKT that was built can be accessed at the address https://sipdkt.ksopcirebon.id. The stages of using Si-PDKT are 1. creating an account via email, 2. the user uploads the company decree, 3. after being verified the user changes the profile, 4. on the company data menu, the user can choose the company where he works, 5. on the ship data menu, the user can add ships, 6. on the menu data memo-in contains the ship's data along with the documents and the memo-in. 7. If it has been filled in, a memo-in history will appear. At the end of verification from the operator, a verification status will appear where there is a color change following the verification status, and if you click on verification, the verification history will appear. If it has been verified as final, then the Memo In document can be downloaded