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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 15, No 1 (2022)" : 9 Documents clear
Implementasi Metode Quantitative dan Qualitative Pada Risk Analysis & IT Risk Management Asep Syaputra; Buhori Muslim
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.12040

Abstract

The purpose of this study is to produce blue prints based on the level that positively and negatively affects hardware and software in one of the Agencies in City which will later become a benchmark to avoid or overcome problems that will be faced in the IT governance and IT infrastructure. IT governance is a process relationship structure that guides and controls an organization to achieve its vision and mission by creating value that balances risk with IT and its processes. An IT facility is an entity that performs the administrative and management functions of all IT applications in the Department XYZ environment for protection against unwanted threats that require risk management assessment. Minimize the danger or risk that may arise. The two analytical methods used in this study are quantitative and qualitative risk analysis. In the future, the quantitative risk analysis (QRA) approach will focus more on analyzing the condition of IT assets to find risk factors that need serious consideration and handling. For qualitative risk analysis methods, NIST SP 80030 is used to analyze various threat and risk attributes for to provide guidelines for the management of IT facilities in Department XYZ. Based on the QRA risk assessment, it was concluded that server-class IT resources are counted as the biggest potential loss to the Service. This is reflected in the risk aspect, where power losses have the most potential damage. Qualitative assessment of risk management according to NIST SP 80030 found that the sources of high-risk threats are high-risk power grids and the Internet. This level of risk can be identified during the threat source classification process. Submission of all risk analysis results can provide the results of risk recommendations communicated with departement IT management. To then be able to help the campus make decisions that include policies, procedures, budgets, operating systems and change management.
Preferensi Masyarakat Terhadap Quick Response Code Indonesian Standard Sebagai Sarana Teknologi Pembayaran Digital Rina Mayanti
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.11421

Abstract

The development of electronic money transactions have grown rapidly especially in the digital payment sector. This study aims to analyze the acceptance factors of user intentions in the application of the Quick Response Indonesia Standard as an electronic wallet payment technology. The user acceptance regarding the Quick Response Indonesia Standard  implementation is predicted by user technology acceptance model Unified Theory of Acceptance and Use Technology 2. The object of this study is the Shopeepay and OVO digital wallet user who is domiciled in Jakarta. Data collection techniques by google forms. The independent variables used in this research are all Unified Theory of Acceptance and Use Technology2 model variables except age, gender, experience, and price value using Partial Least Squares-Structural Equation Modelling analysis techniques. The result of this  syudy indicate that the facilitating conditions and hedonic motivation affect the user's behavioral intention for using QRIS as their payment technology, and behavioral intention also gives the effect to their use behavior.
Pemanfaatan Application Programming Interface (API) pada Aplikasi Layanan Jasa Perbaikan Kendaraan Bermotor Ilham Fitrahriansyah; jajam Haerul Jaman
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.9848

Abstract

Perbaikan maupun perawatan kendaraan merupakan salah satu dari berbagai macam jenis pelayanan yang ada pada bengkel motor/ mobil. Para pengguna kendaraan mengalami kesulitan bila tidak ada kontak atau komunikasi dengan bengkel untuk melakukan pemanggilan teknisi. Teknisi yang di panggil membutuhkan waktu lama bila tidak mengetahui jalur atau rute perjalanan untuk sampai lokasi pengendara. Diperlukannya adanya suatu sistem yang berfungsi sebagai pemesanan teknisi, lokasi pengendara dan  pelaporan pelayanan. Metodologi meliputi tahap pengumpulan data (studi literatur, observasi, dan wawancara) dilanjutkan ke tahap pengembangan sistem menggunakan metode SDLC dengan pengembangan aplikasi yang dibangun menggunakan model pendekatan Prototype. Pengujian standar aplikasi menggunakan white box testing, black box testing dan juga evaluasi kepada pengguna. Hasil yang didapat adalah seluruh menu dapat berjalan sesuai fungsinya masing-masing, dan hasil evaluasi yang dilakukan dengan survey kepada 30 sampel pelanggan, admin, dan teknisi.  Dengan adanya aplikasi ini dapat mengatasi permasalahan pemesanan selama ini, hal tersebut dibuktikan dengan kuisioner dengan rata-rata nilai 7.5 yang artinya “setuju” dengan adanya aplikasi pelayanan jasa teknisi ini.
IMPLEMENTASI ALGORITMA COLLABORATION FILTERING DALAM WEBSITE E-COMMERCE (STUDI KASUS TOKO INDRI COLLECTION) Fajar Rizky; Wawan Gunawan
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.11741

Abstract

teknologi informasi dan ilmu pengetahuan mengalami pengembangan dan semakin maju, Saat ini yang berkembang adalah  situs belanja online, situs belanja online lebih popular dengan sebutan E-Commerce. Perkembangan situs belanja online membuat pelaku usaha memulai menjual barangnya melalui situs belanja online. E-Commerce merupakan tempat suatu kegiatan jual-beli yang di lakukan secara online antara pelanggan dan penjual tanpa harus bertemu langsung melalui situs atau website.Toko Indri Collection memasarkan dan menjual barang menggunakan media sosial, memasarkan dan menjual barang di sosial media sangat tidak aman untuk penjual dan pelanggan. Toko Indri Collection masih melakukan pencatatan secara manual dengan cara mencatat di buku. Cara seperti ini membutuhkan waktu yang lama untuk mencari data transaksi penjualan dan juga merekomendasikan barang kepada pelanggan. Dengan pembuatan website dan menggabungkan algoritma Collaborative Filtering dapat membantu penjualan agar dapat menginformasikan barang berkualitas berdasarkan rating pada produk. Dengan collaborative filtering menghasilkan prediksi tertingi yaitu dengan angka 5 dan 3.966
Penerapan QR Code pada Website E-commerce PT. Bravo Satria Perkasa dengan Algoritma Reed-Solomon Code dan Regression Linear Dian Fatimah
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.10265

Abstract

Pengelolaan atau manajemen stok yang baik sangat dibutuhkan dalam penjualan, khususnya penjualan dalam skala besar. PT.Barvo Satria Perkasa merupakan perusahaan yang masih melakukan pengelolaan stok barang secara manual, dimana pengeloaan secara manual memiliki resiko selisih stok yang cukup besar. Salah satu solusi untuk mengurangi resiko selisih stok yaitu dengan pengelolaan secara digital. Bentuk dari pengelolaan secara digital yang dituju yaitu penggunaan QR Code pada website E-Commerce dengan algoritma Reed-Solomon Code.  Penggunaan algoritma Reed-Solomon Code pada aplikasi berfungsi untuk men-generate QR Code, dimana akan terjadi proses scan barang sebelum dilakukannya proses packing pada penjualan offline, guna menandai produk, baik yang sudah dikirim maupun yang belum dikirim. Selain sebagai error detection Reed-Solomon Code juga bertugas sebagai error correction.
Prediksi Kelulusan Mahasiswa Dengan Metode Naive Bayes dan Artificial Neural Network : Studi Kasus Fakultas Teknik UNIS Tangerang Ummu Habibah Romlah; Achmad Solichin
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.11816

Abstract

The faculty of engineering has 4(four) studies programs namely, informatics engineering, civil engineering, industrial engineering, chemical engineering. The number of lecturers and students owned by the Faculty of Engineering based on PDDikti Year1 2019/2020 reporting data is 41 permanent lecturers and 750 students. The problems faced by the Faculty of Engineering UNIS Tangerang include the low percentage of students who graduate on time compared to students who graduate not on time. In the 2015/2016 graduation year, only 30% of students passed on time, the rest did not graduate on time. This study aims to assist the Faculty of Engineering in predicting student graduation, so that it can be anticipated earlier. This research uses the attributes of total credits, 1st semester IP, 2nd semester IP, 3rd semester IP, 4th semester IP. The methods used in this research are Naïve Bayes and Artificial Neural Network. The data used in this study used 330 records of students who graduated in 2012-2016. The results of the accuracy obtained after testing with the system using 20% data testing obtained an accuracy of 63.63%, 71.05% precision, 67.5% recall, and 62.6% AUC.
PENERAPAN METODE EARNED VALUE ANALYSIS MENGGUNAKAN SOFTWARE PRIMAVERA PROJECT PLANNER PADA PEMBANGUNAN INSTALASI PENGOLAHAN AIR LIMBAH Nadila Agnessia; Drajat Indrajaya
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.10456

Abstract

PT Gasd Geosby Indonesia is a company engaged in environmental services and construction. PT Gasd Geosby Indonesia is handling a Wastewater Treatment Plant (IPAL) construction project in Cikarang for an industrial company. The project experienced delays due to several factors supporting activities. Factors that can affect delays include people, materials, costs, and the tools used. Delay cannot be avoided but can be controlled. One form of project control is to calculate the project completion time and the amount of costs that will be incurred until the project is completed. One of the methods used to estimate the time and cost of the project according to the budget according to the work that has been completed is Earned Value Analysis (EVA). The result of data processing using the Primavera application is Estimate At Completion (EAC) in the 4th week of Rp. 185.682.084, the estimated cost is greater than the project planning cost of Rp. Rp. 147.794.994 if the trend of project implementation during the visit did not change until the end of implementation. From the data obtained based on the results of the field visit at week 4, the estimated completion of the project for 43 days or 14 days from the last day of visit was obtained.
Survey Perangkat Lunak Untuk Manajemen Big Data Menggunakan Metode SLR (Systematic Literature Review) Muhammad Andryan Wahyu Saputra; Hamim Tohari; U'un Setiawati
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.11735

Abstract

Big data technology is a whole technology that can handle processing related to data analysis to explore the potential in it. Some uses of big data are based on the largest sources of data traffic, such as social media, financial transactions, public data, sensor data, and enterprise data. In the research conducted there is a problem, namely how to determine and find out the best software to manage big data. The following problems can be solved by conducting a software comparison survey to find out the best software that can be used and is suitable for big data management problems. The software survey research for big data management uses secondary data from national and international journals that have been published on Scopus, Semantic Scholar, and Google Scholar in the period 2017-2021 as data reference. The software survey in this study used the Systematic Literature Review (SLR) method. The results of research using SLR software state that the software that can be used to determine big data management is 7 software, Apache Hadoop software is software that is often used to perform big data analysis because Apache Hadoop software can have many features and managed to obtain the minimum results to maximize the results of the analysis so that this is different from the application of other software and also the application of software.
Automatic Railway Gate System for Commuter Line Train Based on Sensor Accelerometer and Microcontroller Erna Kusuma Wati
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.11380

Abstract

The design of the automatic system of crossbar gates has been done a lot to reduce the number of accidents at the railroad crossing, but no one has been tested directly when the real train passes. In this study will design an automatic system of railroad crossing gates that will be tested on the passing KRL commuter trains so that they can display the vibration acceleration data. There are two systems in this study; system 1 is a vibration detector, and system two is an automatic system at the railway gate. The Accelerometer sensor is a passing train vibration detector, and Arduino UNO will give the command or control of the train gate to open and close automatically with a servo motor and turn on the LED and Buzzer. The system test is carried out when ten commuter line trains cross the train line on the Jakarta-Depok, Indonesia route on each variation of distance. Variations in the interval between system 1 to system two namely 200m, 450m, and 650m are performed to obtain the time difference between the railroad gates closing entirely and the time when the train passes at the gate crossing, which is close to the standard time. The test results at a distance of 200 meters have a time difference of 2.9 seconds with an average value of 10.01 m / s2, at a distance of 450 meters for 14.1 seconds; g 10.01 m / s2, and at a range of 650 for 36.7 seconds the value of g is 10.02 m / s2. Thus the results of research on the design of an automatic system based on the accelerometer and microcontroller railroad gates placed with the distance between the systems as far as 650 meters can be recommended to PT. Commuter Indonesia makes all railroad crossing gate systems work automatically and to improve road safety and safety at railroad crossings..

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