Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal JCES (Journal of Character Education Society) Jurnal Mantik Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) ABDI SABHA (Jurnal Pengabdian kepada Masyarakat)
Amrullah Amrullah
Program Studi Sistem Informasi STMIK Triguna Dharma Medan
Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Mantik

 1 
System to Diagnose Periodontics Disease (Gum Disease) Using K-Nearest Neighbour Alghoritms Ahmad Fitri Boy; Amrullah; Egi Affandi
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1023.pp1868-1876

Abstract

A Technological Growth has occurred rapidly at this time.not only in the fields of information,industrial or education but also in the agricultural fields. Therefore the sophistication of the technology was also utilized in order to getting an information about Periodontics (gum disease).Periodontics caused by poor oral hygiene condition.in this problem, a technique that used to diagnose Periodontics disease to be able to helping the doctors and citizens about the disease is really necessary. Therefore the author will design and developing a desktop-based application expert sytem to diagnose Periodontics disease using K-Nearest Neighbor method.Systems will analyze someone based on the previous data of the patients.as a user,patients will insert a data based to their symptomps in order to generate not only an identification of the probabilities accuracy data but also the solution about this disease.this expert system was developed with K-Nearest Neighbor methods for measuring a certainty value from the new hypothesis of new facts based on the previous consultation data records of the patient.the calculation of K-Nearest Neighbor methods has been generated 0.72 or 72% of trust value from one Periodontics disease based on the result of consultation.
Data Mining in Grouping Indihome Customer Data Using the K–Means Clustering Method at PT.Telkom Akses Egi Affandi; Syahrin Syam Noor Berutu; Yohanni Syahra; A. Amrullah
Jurnal Mantik Vol. 4 No. 4 (2021): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2021.1220.pp2604-2612

Abstract

PT. Telkom Akses is part of the PT. Telekomunikasi Indonesia, Tbk (Telkom) company whose shares the stock and fully owned by Telkom.Telkom is a state owned company and as an IndiHome service Provider. So far, PT. Telkom Akses still has problems in classifying customer data. Based on these problems, PTTA requires a computer application that can cluster customer data and use data mining that can help solve problems that occur using the clustering method.. One of the methods offered to solve this problem is the k-means algorithm. The results of this study, the authors design and design a desktop-based information system that can implement the clustering method to produce customer data clusters according to the needs of PT. Telkom Access
Co-Authors Ahmad Fitri Boy Asyahri Hadi Nasyuha Egi Affandi Elfitriani Elfitriani Hutagalung, Juniar Ita Mariami Milfa Yetri Saniman Saniman Sri Murniyanti Syahrin Syam Noor Berutu Trinanda Syahputra Widiarti Rista Maya Yohanni Syahra Yohanni Syahra