Article Per Year (5 Year)
p-Index From 2019 - 2024
0.562
P-Index
This Author published in this journals
All Journal CARADDE: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT
M Nishom
Politeknik Harapan Bersama Tegal
Computer Science & IT Education Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Pembangunan Media Pembelajaran Berbasis E-Learning Di SMA NU Ma’Arif Jatinegara Tegal Oman Somantri; Dyah Apriliani; Arif Wirawan Muhamad; M Nishom
CARADDE: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2019): Februari
Publisher : Ilin Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.912 KB) | DOI: 10.31960/caradde.v1i2.78

Abstract

Internet learning sebagai sebuah proses pembelajran berbasis elektronik yang digunakan sebagai media pembelajaran dierikan untuk para guru dan sekolah di SMA NU Ma’Arif Jatinegara Kota Tegal, melalui kegiatan pelatihan dilakukan sebagai upaya dalam upaya meningkatkan keterampilan dan pengetahuan guru dalam memahami dan membangun e-learning. Metode kegiatan yang digunakan adalah model pembelajaran partisipatif sehingga memberikan kebebasan kepada para peserta pelatihan untuk lebih memahami materi yang disampaikan. Media yang digunakan untuk membuat e-learning menggunakan Edmodo sebagai tools. Berdarsarkan hasil evaluasi terhadap kegiatan pelatihan tersebut memeprlihatkan hampir 80% peserta pelatiahan sudah mampu membuat media pembelajaran e-learning dengan baik.
Implementasi Pendekatan Rule-Of-Thumb untuk Optimasi Algoritma K-Means Clustering M Nishom; M Yoka Fathoni
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 2 (2018): JPIT, Mei 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i2.909

Abstract

In the big data era, the clustering of data or so-called clustering has attracted great interest or attention from researchers in conducting various studies, many grouping algorithms have been proposed in recent times. However, as technology evolves, data volumes continue to grow and data formats are increasingly varied, thus making massive data grouping into a huge and challenging task. To overcome this problem, various research related methods for data grouping have been done, among them is K-Means. However, this method still has some shortcomings, among them is the sensitivity issue in determining the value of cluster (K). In this paper we discuss the implementation of the rule-of-thumb approach and the normalization of data on the K-Means method to determine the number of clusters or K values dynamically in the data groupings. The results show that the implementation of the approach has a significant impact (related to time, number of iterations, and no outliers) in the data grouping.
Perbandingan Akurasi Euclidean Distance, Minkowski Distance, dan Manhattan Distance pada Algoritma K-Means Clustering berbasis Chi-Square M Nishom
Jurnal Informatika: Jurnal Pengembangan IT Vol 4, No 1 (2019): JPIT, Januari 2019
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v4i1.1253

Abstract

In data mining, there are several algorithms that are often used in grouping data, including K-Means. However, this method still has several disadvantages, including the problem of the level of accuracy of the methods used to measure the similarities between the objects being compared. To overcome this problem, in this study a comparison was made between three methods (euclidean distance, manhattan distance, and minkowski distance) to determine the status of disparity in Teacher's needs in Tegal City. The results showed that of the three methods compared had a good level of accuracy, which is 84.47% (for euclidean distance), 83.85% (for manhattan distance), and 83.85% (for minkowski distance). In addition, this study also informs that there are still 6 (six) schools with conditions that are very poorly available for teachers (in the category of HIGH disparity labels) and need to get more attention, which is SMP Atmaja Wacana, SMKN 3 Tegal, SMAS Muhammadiyah, SMAS Pancasakti Tegal, SMKS Muhammadiyah 1 Kota Tegal, and SMP IC Bias Assalam.
Co-Authors Arif Wirawan Muhamad Dyah Apriliani M Yoka Fathoni Oman Somantri