cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Faktor Exacta
Published by Universitas Indraprasta PGRI
ISSN : 1979276X     EISSN : 2502339X     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Faktor Exacta is a peer review journal in the field of informatics. This journal was published in March (March, June, September, December) by Institute for Research and Community Service, University of Indraprasta PGRI, Indonesia. All newspapers will be read blind. Accepted papers will be available online (free access) and print version.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 14, No 2 (2021)" : 5 Documents clear
Processing The Ground Motion Signal Recording Using Correction Instrument Method Erna Kusuma Wati
Faktor Exacta Vol 14, No 2 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i2.8482

Abstract

The instrument correction method is a way to eliminate interference with the signal from the recording instrument response. Signal processing by the instrument correction method using the inverse filter method created using the MATLAB program. In this research using Honshu earthquake data, Japan with Mw 7.4 (dated September 5, 2004) recorded by the MERAMEX seismometer type L4C-3D type short seismometer and Japan Tohoku-Oki earthquake with a strength of Mw 9.0 (March 11, 2011) the data from four seismic stations in Padang, West Sumatra with a DS-4A type short-period seismometer. From the research known, the signal can clearly show the phase of the P and S waves. This can help to determine the parameters of the hypocenter, receiver function, moment tensors, studies of .  The surface wave phase can be reconstructed well. This is very useful for studies using surface wave data, moment tensor solutions, seismic wave dispersion studies. Based on the amplitude of the instrument correction results compared with theoretical data, the gain or amplification .
Implementasi Algoritma Naive Bayes, Support Vector Machine, dan K-Nearest Neighbors untuk Analisa Sentimen Aplikasi Halodoc Elly Indrayuni; Acmad Nurhadi; Dinar Ajeng Kristiyanti
Faktor Exacta Vol 14, No 2 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i2.9697

Abstract

During the Covid-19 pandemic, many people access information and even consult health problems online with the best doctors via smartphones. The Halodoc application is considered the most popular with 18 million users in 2020. So that many people have reviewed the application on the Google Play Store application provider. It may take a while to read the full review. However, if only a few comments are read, they are biased. For that, a platform is needed which can automatically identify positive or negative opinions. Sentiment analysis is a solution for the technique of classifying texts or sentiments into positive or negative opinion categories. The method used in this research is an experiment using the Naive Bayes algorithm, Support Vector Machine, and K-Nearest Neighbors. Evaluation is carried out using 10 Fold Cross-Validation. The results showed that K-Nearest Neighbors (KNN) had the best and most accurate performance in the sentiment classification because it produced the highest accuracy value of 95.00% and the largest AUC value of 0.985 compared to the Naive Bayes and Support Vector Machine algorithm.
Penerapan Digitalisasi Alur Bisnis Menggunakan Digital Signature Pada Salah Satu Bank di Indonesia Menggunakan Metode Scrum Elvan Mahardika Purnomo; Fenni Agustina
Faktor Exacta Vol 14, No 2 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i2.9330

Abstract

Technological developments have led the Bank to always develop innovations that can help customers and employees to be faster in all matters, including the validation of the User ID registration form. Form validation using an ordinary signature is what has been known so far. After that, the signed registration form is sent using the Tracking System and will be processed by the User ID Management Team by reprinting it and then being signed again by Hello, the Supervisor, and the Back Office from the User ID Management Team as a sign that the application is approved. This manual method can no longer be used during this pandemic due to limited work time, the workplace, and the possibility of contracting the virus through paper. The implementation of digitizing business process flows using a digital signature is one way that activities continue to run. The application for submitting the flow of forms to digital was developed for this, as well as the change of ordinary signatures to digital signatures. This study uses a system development method using the Scrum Model. The result of developing this system is the application of a digital signature and a role application so that each role has a different function and task in the application in the process of digitizing the User ID registration form.
Implementasi Metode K-Medoids Untuk Masalah Intrusion Detection System Menggunakan Bahasa Pemrograman Matlab Octaviani Hutapea; Aini Suri Talita
Faktor Exacta Vol 14, No 2 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i2.9429

Abstract

Based on data from the National Cyber And Crypto Agency (BSSN) of the Republic of Indonesia from 2018 to 2021, the threat of cyber attacks continues to experience a significant increase. In 2021, a significant change that is likely to be faced is with the emergence of new smart devices, which are more than just end-users and remotely connected networked devices. Surely, gives it the attention of all parties. There are many types of cyberattacks including Malware, Phishing, Ransomeware, etc. IDS (Intrusion Detection System) is a method that can detect suspicious activity in a system or network. Implementation of the Fuzzy K-Medoids method by using the Matlab programming language that retrieves data from KDDCUP’99 which has been normalized. The data used are normal data and anomaly attack data which are categorized as DoS, Probe, R2L, and U2R. From the research conducted the accuracy percentage is around 60-89% with three types of data preprocessing
Penerapan Metode Machine Learning untuk Prediksi Nasabah Potensial menggunakan Algoritma Klasifikasi Naïve Bayes Devi Fitrianah; Saruni Dwiasnati; Hanny Hikmayanti H; Kiki Ahmad Baihaqi
Faktor Exacta Vol 14, No 2 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i2.9297

Abstract

Customers are people who trust the management of their money in a bank or other financial service party to be used in banking business operations, thereby expecting a return in the form of money for their savings. To reach information to increase company profits, a method is needed to be able to provide knowledge in supporting the data that the company has. The model can be obtained by using predictive data processing of customer data that is categorized as potential or not potential. Data processing can be done using Machine Learning, namely classification techniques. This technique will produce a churn prediction model for determining the category of customers who fall into the Potential or Not Potential category and find out what accuracy value will be generated by applying the classification technique using the Naïve Bayes Algorithm. The parameters used in this study are Gender, Age, Marital Status, Dependent, Occupation, Region, Information. The data used are 150 data from customers who have participated in the savings program to find out whether the customer is in the Potential or Non-Potential category. The accuracy results generated using this data are 86.17% of the tools used by Rapidminner.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Vol 16, No 3 (2023) Vol 16, No 2 (2023) Vol 16, No 1 (2023) Vol 15, No 4 (2022) Vol 15, No 3 (2022) Vol 15, No 2 (2022) Vol 15, No 1 (2022) Vol 14, No 4 (2021) Vol 14, No 3 (2021) Vol 14, No 2 (2021) Vol 14, No 1 (2021) Vol 13, No 4 (2020) Vol 13, No 3 (2020) Vol 13, No 2 (2020) Vol 13, No 1 (2020) Vol 12, No 4 (2019) Vol 12, No 3 (2019) Vol 12, No 2 (2019) Vol 12, No 1 (2019) Vol 11, No 4 (2018) Vol 11, No 3 (2018) Vol 11, No 2 (2018) Vol 11, No 1 (2018) Vol 10, No 4 (2017) Vol 10, No 3 (2017) Vol 10, No 2 (2017) Vol 10, No 1 (2017) Vol 9, No 4 (2016) Vol 9, No 3 (2016) Vol 9, No 2 (2016) Vol 9, No 1 (2016) Vol 8, No 4 (2015) Vol 8, No 3 (2015) Vol 8, No 2 (2015) Vol 8, No 1 (2015) Vol 7, No 4 (2014) Vol 7, No 3 (2014) Vol 7, No 2 (2014) Vol 7, No 1 (2014) Vol 6, No 4 (2013) Vol 6, No 3 (2013) Vol 6, No 2 (2013) Vol 6, No 1 (2013) Vol 5, No 4 (2012) Vol 5, No 3 (2012) Vol 5, No 2 (2012) Vol 5, No 1 (2012) Vol 4, No 4 (2011) Vol 4, No 3 (2011): Factor Exacta Vol 4, No 2 (2011): Faktor Exacta Vol 4, No 1 (2011): Factor Exacta Vol 3, No 3 (2010): Faktor Exacta Vol 3, No 2 (2010): Faktor Exacta Vol 3, No 1 (2010) More Issue