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INDONESIA
JURIKOM (Jurnal Riset Komputer)
JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Articles 1,069 Documents
Studi Perbandingan Library Untuk Implementasi Network Automation Menggunakan Paramiko Dan Netmiko Pada Router Mikrotik Luis Geraldo Mauboy; Theophilus Wellem
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4420

Abstract

In recent years, network automation has emerged as a solution to the impracticality of manually configuring network devices by network administrators. By implementing network automation, network administrators can configure and manage network devices automatically using scripts or software that is run from one of the hosts or servers in the network. This paper aims to conduct a comparative study through the implementation of cases for network automation. Four scenarios are taken as examples for the implementation of network automation, among others, static routing, dynamic routing, network address translation (NAT), and simple network management protocol (SNMP). The automation scripts are realized using Python libraries, namely Paramiko and Netmiko. Tests and simulations were carried out using the GNS3 simulator software with a network topology consisting of two Mikrotik routers, one Ethernet switch, one Network Automation server, and two computers as clients. The experiment results show that automation using the Paramiko library is better than automation using the Netmiko library in terms of the time required for the execution of configuration scripts. The average execution time for the four implemented scenarios is 3.66 seconds.
Penerapan K-Means pada Segmentasi Pasar untuk Riset Pemasaran pada Startup Early Stage dengan Menggunakan CRISP-DM Yefta Christian; Katherine Oktaviani Yap Rui Qi
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4486

Abstract

Early stage startup would conduct ideation, problem solving, and market research. One of the stages in market research is market segmentation. Normally, early stage startups do not have enough resources, thus many processes are done manually. This encourages inacurracies and lessen the objectiveness in evaluating market situation which is important for the growth of early stage startups. This research focuses on developing a machine learning based application for market segmentation. The framework used here is CRISP-DM, which is a framework used in data mining. This framework has six phases, which consists of business understanding, data understanding, data preparation, modelling, deployment, and evaluation, to identify the input and output of a process. The data model used in this application is K-Means, which is a common algorithm used for clustering or dividing a set of data into groups according to their attributes. The application developed is able to output results in the form of visualization and the segmentation in excel format. With this, the early stage startup is able to process their data to identify segments in the market. For future research, this application could be improved in the efficiency and accuracy of the model. The application could be improved in the aspects of UI/UX design, the algorithm used, the number of clusters, and the analysis of the dataset, as well as adding a predictive analysis feature
Alat Monitoring Kecelakaan Dengan Intelligent Transport System Berbasis Internet of Things Junio Andika Danda; Ade Silvia Handayani; Sopian Soim; Nyayu Latifah Husni; Leni Novianti
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4652

Abstract

Accidents are one of the problems that are always faced in big cities. This is evident from the indications that traffic accident numbers are always increasing. Delays in handling accidents often occur due to delays in information received by the police and nearby hospitals. Therefore, a remote monitoring system is needed to control vehicles that are operating in real time using monitoring tools that are able to detect traffic accidents and emergency events on the way In this study, the Internet of Things-based Intelligent Transport System was applied using the Support Vector Machine method whose design was carried out using accelerometer sensors, vibrating sensors and sound sensors with the addition of NEO 6M GPS as a coordinate point information provider and a PI NoIR Camera to capture images of surrounding conditions when an accident occurred. The way this tool works is that when there is an accident in a vehicle (car) this tool has been installed with various sensors and components that are able to analyze the surrounding situation if this car has an accident, it will send data that will be displayed in the Android application in the form of time data, coordinates, vibration, sound and images.
Sistem Update Firmware Perangkat IoT Menggunakan Teknik OTA Berbasis HTTP Krisna Madani; Rahmi Hidayati; Uray Ristian
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4685

Abstract

Firmware is software that resembles an operating system and embedded in the hardware. On Internet of Things (IoT) devices, the already installed firmware will not be updated for the specified time or will not even be updated at all. This is because the firmware is considered a system whose needs and functions do not need to be changed. However, in reality the firmware that is already installed and is being run definitely needs a change. The update process generally also uses conventional methods, namely by connecting devices on a computer using a cable. This method is of course not effective and efficient to do, especially if you have many devices installed and running. Therefore, in this study, an update system was created to update devices using the internet network. The update system built on this study using Over The Air (OTA) techniques and Hypertext Transfer Protocol (HTTP). In testing the update process with 3 IoT devices simultaneously, the average time needed by device 1, device 2 and device 3 is 43 seconds, 44 seconds and 45 seconds. In the QoS analysis carried out, the results obtained throughput of 100% (very good), packet loss of 0% (very good), average delay of 93,931ms (very good) and jitter of 98,948ms (medium) on the network used for updating
Rancang Bangun Aplikasi Inventaris Aset Berbasis Android Vera Alviani; Nurkhalik Wahdanial Asbara; Magfira Tunnisa
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4842

Abstract

This school asset inventory application is used to monitor the cycle of borrowing and returning equipment so that there is no loss of equipment that results in losses to the school. The waterfall method is a process of developing a device or system sequentially, this method is used to monitor the cycle of borrowing and returning school inventory where progress is seen as a waterfall that continues to flow down through several stages. Testing this system uses the blackbox testing method to test the implementation of the running system. The results of the study produced a mobile application that allows mobility with certain equipment, mobile applications can facilitate other activities or work
Komparasi Metode Simple Addtive Weighting dan Weight Product Menggunakan Sistem Pendukung Keputusan pada Penerimaan BLT Muhammad Rizky Hamdan; Agung Triayudi; Agus Iskandar
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4970

Abstract

Direct cash assistance is a program of local government efforts to deal with problems that occur in underprivileged families. This program is sought so that the community has less impact on economic growth and welfare. The methode used this system is.the.Simple Addtive Weighting (SAW) and Weight Product (WP) methods. Simple Additive Weighting (SAW) is a decision making process which in the process adds up the weights of the performance appraisal on all alternative attributes. While the Weight Product (WP) method is an analyst decision.methode for a multi-criteria decision making (MCDM) or multi - criteria decision making (MCDM). The existence of a comparison between the two methods is expected to help better select residents in receiving BLT so that they are more targeted. In this study resulted in a system to determine the citizens who are entitled to receive BLT, based on the result the study. Comparison of the SAW and WP methods using 20 alternative data, shows that the second method gets accurate data and is suitable if applied as a ranking of citizens in BLT receipts. In the ranking occupied by Burhan by getting the highest score on the 2 methods, there is an equal ranking of the 2 methods caused by the alternative performance scores, and the weight value of the first criterion in each method. Results Based on the research, is it recommended to use the SAW method to determine the ranking, cause the Ievel of suitability of.the.data in the field is higher than the WP found 99.40 WP found 99.20%.
Implementasi Metode Latent Semantic Analysis Pada Peringkasan Artikel Bahasa Indonesia Menggunakan Pendekatan Steinberger Jezek Dewi Fatmarani Surianto; Rezki Angriani Pratiwi Kadir; Fizar Syafaat; M Miftach Fakhri; Dary Mochamad Rifqie
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4620

Abstract

Currently, various types of news media that are developing have their own challenges, one of them is the increasing number of digital or online media. The increasing number of digital media in the form of online news sites not only has a positive impact on society, but also poses challenges. The more the number of online news portals increases, the more information is spread out. With a variety of topics and diverse information, it creates problems for readers to make time efficient in reading in full to obtain the desired information. This makes the phenomenon of text summarization very important. The purpose of this study is to analyze the Latent Semantic Analysis method in the text summarization process. The dataset used comes from previous research which includes 100 Indonesian news articles from various online news portals. In the experiment process, the Steinberger and Jezek techniques are used for the sentence selection process. The summary process is carried out using three types of compression rates, namely 10%, 30% and 50%. The best results obtained in this study are the precision value of 20% at a 10% compression rate, a recall value of 42% at a 50% compression rate, and an f-measure value of 22% at a 50% compression rate.
Sistem Pendukung Keputusan Pemilihan Teknisi Terbaik Menggunakan Metode Fuzzy Tsukamoto Jeperson Hutahaean; Juniar Hutagalung
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4519

Abstract

One of the Human Resources (HR) management activities carried out is the selection of the best technicians. As is the case with Central Ponsel in determining the best mobile technician. It is not an easy thing to get a qualified HR workforce. The process of selecting technicians is still conventional, all data for new technician candidates is recorded manually, so it takes a long time to process the selection results and is still not accurate. The selection of technicians is based on kinship, resulting in an unobjective assessment and social jealousy for other prospective technicians. This has resulted in the owners of Central Ponsel having difficulty making decisions on choosing the best technician because the process of recapitulating the results of the technician's performance evaluation is done independently and manually, resulting in less accurate assessment results, there is no ranking of the final assessment results so that it is difficult to get the title of the best technician. If allowed to drag on then this can certainly hamper performance and operations which can also cause losses for the owner of Central Ponsel. So to solve the problems mentioned above, you can apply the Fuzzy Tsukamoto method in a Decision Support System (DSS). The purpose of this research is to produce a system that can assist the owner of Central Ponsel in determining the best technician so that they are able to make decisions more effectively and efficiently. Based on the calculation that is declared acceptable is the alternative A-03 with the highest score of 75,625 as the best mobile phone technician. This system is expected to assist in providing recommendations for the best technicians who can be selected to carry out tasks tailored to the needs and conditions.
Analisis Forensik Aplikasi TikTok Pada Smartphone Android Menggunakan Framework Association of Chief Police Officers Fitri Anggraini; Herman Herman; Anton Yudhana
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4738

Abstract

TikTok is the most popular social media app that ranks sixth in the world in January 2022 according to We Are Media & Hootsuite. Along with the increasing number of uses of this application, the negative impacts it causes are also increasing, ranging from fraud, cyberbullying, to the spread of fake news (hoax). This study focuses on the negative impact of defamation. The purpose of the research is to plan and implement a digital forensics process using the Association of Chief Police Officers (ACPO) framework to raise evidence of defamation cases on the TikTok application. The forensic process is carried out in the form of static forensics on cases that are intentionally made in the form of simulating TikTok postings using an android smartphone. This research combines the ACPO forensics framework with the Magnet Axiom forensics tools. The combination of the two succeeded in raising 77% of evidence in the form of data messages, videos, and hashtags. Where these data have been previously defined as initial data posted in the simulation process
Pengembangan Backend Investasi Berbasis Website pada Ekosistem Digital Ihya dengan Metode Iterative Incremental Krisna Dwi Permana; Rahmat Fauzi; Sinung Suakanto
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4830

Abstract

Technological developments in the industrial era 4.0 are very fast coupled with the COVID-19 pandemic. The digital ecosystem is one that has developed rapidly during the pandemic, many people need a complete platform to meet all their needs, so the presence of a digital ecosystem is expected to provide all user needs. One of the things that users want in a digital ecosystem is an investment module. The existence of a digital ecosystem with an investment module will greatly help people who need capital and creation due to the pandemic. However, at this time there are still few digital ecosystems that have this module. So there is a need for a digital ecosystem that has an investment module to make it easier for users to access and use it, so the creation of a website-based digital ecosystem called Ihya, especially on the investment module. The creation of the digital ecosystem website was made using the iterative incremental method as its development method. The development of the Ihya digital ecosystem on investment modules made using the PHP programming language with the Laravel framework and the CSS Bootstrap framework, and stored in a MySQL database. The investment module in the Ihya digital ecosystem was tested using the black-box testing, user acceptance test, and load test methods. After testing, the Ihya digital ecosystem investment website meets user needs as an investment platform with a user acceptance test value of 85.1%.

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