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 9 Documents
 1 
Search results for , issue "Vol 16, No 1 (2023)" : 9 Documents clear
Optimalisasi Keuntungan Produk Furniture Menggunakan Metode Simpleks dan Software POM-QM Berbasis Website Sartika Lina Mulani Sitio; Hadi Zakaria
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.13554

Abstract

Today, many people are competing to build a business to meet their basic needs. We know that the development of SMEs will have a significant impact on the pace of the Indonesian economy. MJ Furniture is one of the stores that runs a furniture retail business. One of the problems that MJ furniture stores often face is  determining  production to get the maximum benefit they need to get from their daily production activities. This study aims to solve the problems encountered in the MJ furniture business by making linear programming more effective and efficient. The method used to collect the data  is in the form of observations and interviews with  MJ furniture stores. Meanwhile, the data analysis was performed using the simplex method and POM-QM software. Using Simplex calculation results  and the POM-QM application, the MJ shop makes a profit of IDR 5,743,000 by producing 30 mattresses, 10 tables and 13 wardrobes per day. The  system is implemented using the web programming language, PHP, and  data management is performed using MySQL.
Monitoring dan Evaluasi Keamanan Jaringan Dengan Pendekatan System Information and Security Management (SIEM) Muhamad Ramli; Benfano Soewito
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.16534

Abstract

Every system produces independent logs. This makes monitoring logs difficult if not done centrally. The research objective is to monitor and evaluate network security using open source-based Security Information and Event Management (SIEM). The research methods include literature studies, SIEM review, observation at the Data and Information System Center (PDSI), simulation of Open Source SIEM implementation by combining devices in real and GNS3 simulation networks, SIEM deployment using Docker, and the final stage of SIEM application evaluation. The implemented SIEM is able to fulfill 84% of the initial requirements. SIEM integrated with Pfsense firewall and Suricata-Intrusion Prevention System (IPS). Monitoring and evaluation features such as detection and alerting, analysis and investigation, compliance and audit, integration and interoperability, monitoring and reporting, support, and maintenance are important parts of SIEM.
Penerapan Location Based Service(LBS) Pada Sistem Pencarian Kontrakan Dengan Metode Prototype Dicky Hermawan; Wiyanto Wiyanto; Tri Ngudi Wiyatno
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.14991

Abstract

The lack of information about rentals such as descriptions and prices make it difficult for seekers to determine which rental option is in accordance with their wishes and also the price. With the conventional search process, rent seekers inevitably take the time and energy to find rentals according to their wishes, location and of course the price. This study aims to apply the location base service to support the search for rentals that make it easy and according to the wishes of rented seekers in Bekasi Regency as well as a promotional media for rented business owners for household needs, using the main method, namely location base service to solve the problem of finding a rental business that is still ongoing. many shortcomings and the prototype method as a system development method that supports this research. The result of this research is that the koskuappfront application is able to make renting search more efficient in terms of time and cost, as well as collecting rental information in one container that provides rental information. 
Comparison of Classification Algorithms for Predicting Indonesian Fake News using Balanced and Imbalanced Datasets Sayidati Karima; Achmad Benny Mutiara
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.16486

Abstract

Kemajuan teknologi informasi memberikan dampak yang besar, seperti penyebaran berita online. Namun, kabar yang tersebar belum tentu benar adanya. Dalam beberapa penelitian, pendeteksian berita hoax telah dilakukan. Namun, terdapat perbedaan hasil dari beberapa algoritma yang digunakan. Oleh karena itu, dalam penelitian ini dilakukan perbandingan antara algoritma Logistic Regression, Naïve Bayes, Random Forest dan Support Vector Machine untuk memprediksi berita hoax khusus Indonesia dengan dataset seimbang dan tidak seimbang. Tahapan perancangan sistem dimulai dari pengumpulan dataset, pelabelan data, pre-processing, pembobotan TF-IDF, klasifikasi model hingga pengujian. Hasil akurasi tertinggi baik dari jumlah dataset yang tidak seimbang maupun dataset yang seimbang didapatkan dari SVM dengan perbandingan 80:20. Dataset tidak seimbang memiliki akurasi 85,47% dan F1-score 90% dan dataset seimbang memiliki akurasi 84,36% dan F1-score 84,80%. Pada penelitian ini dataset tidak seimbang mendapatkan hasil akurasi yang lebih baik dengan menggunakan algoritma SVM dan jika jumlah dataset yang menjadi target kelas utama lebih banyak maka akan memberikan hasil yang lebih baik.
KOMPARASI KLASTER PENGANGGURAN TERBUKA DI INDONESIA SEBELUM DAN SAAT PANDEMI COVID-19 MENGGUNAKAN K-MEAN CLUSTERING Raihan Maliqi; Kursehi Falgenti
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.15108

Abstract

Open unemployment is a productive workforce of secondary education and higher education graduates who have not worked at all. The Indonesian Statistics Bureau (BPS) routinely publishes provincial open unemployment (TPT) data per semester. Many studies have analyzed TPT data by exploring new knowledge using data mining methods with cluster analysis techniques. Researchers have investigated the TPT data cluster under normal conditions before the COVID-19 pandemic. This study aims to find new knowledge from TPT data by comparing the TPT data cluster analysis results before the pandemic (2018-2019) with TPT data during the pandemic (2020-2021). Data mining techniques used are cluster analysis and the k-mean algorithm. The cluster analysis results are regional clusters with low and high unemployment rates before and during COVID-19. In addition, another finding is the movement from high to down clusters. Other interesting results are Covid-19 has the most impact on high unemployment in Aceh, North Sumatra, West Sumatra, Riau Islands, DKI Jakarta, West Java, Banten, East Kalimantan, North Sulawesi, Maluku, and West Papua. Anticipatory steps of the high open unemployment rates in 11 provinces, local government could design the program or policy that could support the BLT policy by the central government.
Development of a Production Machine Maintenance Predictive Model Using the Elman Recurrent Neural Network Algorithm Ajat Zatmika; Harry Dwiyana Kartika; Ali Khumaidi
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.15450

Abstract

PT Simba Indosnack Makmur is a factory that produces snacks. In the production process the machine has worked very optimally, the problem that is often faced by the Quality Control department is often finding non-standard product weights. This problem is caused by a machine that already requires maintenance. So far, the maintenance process has to get approval from the manager, which sometimes takes quite a long time to be inspected so that the maintenance process is delayed, which results in reduced production targets. By implementing a predictive maintenance model that utilizes time series data in the production process, applying the Elman Recurrent Neural Network will be able to provide notifications for machine maintenance before the machine is inaccurate in snack production. The Elman structure was chosen because it can make iterations much faster, thus facilitating the convergence process. The input vector used uses windows size. The results of the study using a target error of 0.001 show the smallest MSE value of 0.002833 with windows size 11. Then by using 13 neurons in the hidden layer a minimum error value of 0.003725 is obtained.
IDENTIFIKASI GARIS TELAPAK TANGAN DENGAN METODE MOBILENET CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK SISTEM PRESENSI SISWA Muhammad Hamdi Sukriyandi; Achmad Solichin
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.15138

Abstract

The attendance system at SMK Taruna Terpadu 1 with nine majors is still done manually. With a total of about 5,000 students, If attendance is recorded manually, many of these statistics are cumulative, making them difficult to organize and find when needed. Digitization of attendance recording is expected, one of which is the biometric method. Biometrics, the technology that digitally recognizes organic characteristics, can potentially update maps and other identifiers. Biometrics themselves come in physical form, such as faces, irises, fingerprints, and handprints. However, at some point during the COVID-19 pandemic, contact fingerprinting is unavailable and many of the challenges facing facial recognition, starting with skin color, using mask and identical twins. suggest ways to avoid contact. Fingerprint biometrics are an attractive option for more accurate, reliable, and secure contactless human identification technology, but identifying palm features from past images is also an attractive option. I am tasked with inputting some of the palm functions. and lighting fixtures. In this article, the authors propose to apply MobileNeV2's use of augmented facts, ROI detection, and pre-trained convolutional neural community (CNN) models. After testing with the dataset that the author got from SMK Taruna Terpadu 1 by performing data augmentation, ROI detection and identification with the pretrained MobileNetV2 model, it turns out to get the best accuracy results up to 99.98%.
Penggunaan Smartphone Berbasis Android Dalam Penerapan Location Based Service Pada Absensi Karyawan Dengan Metode OOAD Wiyanto Wiyanto; Edora Edora
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.15147

Abstract

One of the most important activities in a company is the presence and absence of employees, this needs to be done for the continuity of activities within the company, the current system at PT. XYZ for attendance activities uses a finger print system, while for absenteeism it still uses a manual system, problems often occur in the finger print machine and are still conventional. The purpose of this study is to implement an automated employee attendance system using an Android-based location-based service so that it can make it easier for employees to perform attendance and absenteeism. This application system was developed using the OOAD (Object Oriented Analysis and Design) method, designed using UML (Unified Modeling Language) with tools from Android Studio and tested using blackbox testing
Rancang Bangun Sistem Keamanan Rumah Terintegrasi Telegram Menggunakan Mikrokontroler ATMega328 Habib Nurfaizal
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.15902

Abstract

Crime can happen anywhere and anytime. The security system is important. Much will be done to make conditions secure, one of them is home security. Home is a place to stay that must be guarded. Everyone will anxious if leaving home when empty. Usually home security uses CCTV cameras. Many theft cases show that using a CCTV camera is less effective. It is not enough to use a camera to monitor the state of the house, then we need a system that can give real-time notifications to home-owners via Telegram. Telegram is a cloud-based and free instant messaging service. Telegram also provides a bot system. When creating a new bot on a telegram, can monitor the state of the house by receiving telegram messages through sensors that have been identified. This system is made using ATMega 328 Arduino board as a microcontroller and NodeMcu ESP8266 as a wifi that can give notifications if there is movement, fire, and gas leakage in the house.

Page 1 of 1 | Total Record : 9

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol 18, No 3 (2025) Vol 18, No 2 (2025) Vol 18, No 1 (2025) Vol 17, No 4 (2024) Vol 17, No 3 (2024) Vol 17, No 2 (2024) Vol 17, No 1 (2024) Vol 16, No 4 (2023) 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