Found 3 Documents
Journal : Kilat

KILAT Vol 8 No 1 (2019): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v8i1.421


The process of analyzing and classifying comment data done by reading and sorting one by one negative comments and classifying them one by one using Ms. Excel not effective if the data to be processed in large quantities. Therefore, this study aims to apply sentiment analysis on comment data using K-Nearest Neighbor (KNN) method. The comment data used is the comments of the participants of the training on Udiklat Jakarta filled by each participant who followed the training. Furthermore, the comment data is processed by pre-processing, weighting the word using Term Frequency-Invers Document Frequency, calculating the similarity level between the training data and test data with cosine similarity. The process of applying sentiment analysis is done to determine whether the comment is positive or negative. Furthermore, these comments will be classified into four categories, namely: instructors, materials, facilities and infrastructure. The results of this study resulted in a system that can classify comment data automatically with an accuracy of 94.23%
Penentuan Penerimaan Mahasiswa Terhadap Aplikasi Menghitung Invers Matrik Ordo 3x3 Dan 4x4 Dengan Pendekatan User Acceptance Test Yosrita, Efy; Arianto, Rakhmat
KILAT Vol 6 No 1 (2017): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v6i1.662


Simulation application calculate the inverse order of 3x3 and 4x4 matrices developed to help students understand the process of finding the inverse of a matrix. To find out how the rate of admissions to the simulation application calculate the inverse matrix of order 3x3 and 4x4 tested using the method of User Acceptance Test. In this test data taken are students who have used the application. Based on the experiments, we concluded simulation application calculate the inverse matrix can be used as a medium of learning for students
Penentuan Status Tagihan Pelanggan Menggunakan Fuzzy C-Means Pada Aplikasi Weberp Arianto, Rakhmat; Haryadi, Nur
KILAT Vol 5 No 1 (2016): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v5i1.680


On the sale of goods and services before the release of a bill to consumers, so the staff concerned sales order (sales order) prior to the consumer and then after all the desired items appropriate then further processed and made sales order invoice (invoice) name contains the description, quantity and price paid. Problems arise when there are some consumers who do not pay bills or forget to pay the bill for the services of installation of CCTV and the like. for payment deadlines in the system that is running a list of charges grouped into 30 days, 90 days, 180 days, 210 days to 360 days. Fuzzy clustering is a technique to determine the optimal cluster in a vector space based on the normal form for the Euclidean distance between vectors. Fuzzy clustering is very useful for modeling fuzzy, especially in identifying fuzzy rules. In companies already using the previous ERP for billing invoice to the customer can be seen from the menu customer aged balance / overdues report. Then from the system menu of existing companies want to add features to the ERP which this feature can determine the level of interest of consumer bills to be somewhat (slightly) urgent, urgent or very urgent.