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JURIKOM (Jurnal Riset Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 2407389X     EISSN : 27157393     DOI : http://dx.doi.org/10.30865/jurikom.v7i1.1927
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
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)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 49 Documents
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Search results for , issue "Vol 9, No 5 (2022): Oktober 2022" : 49 Documents clear
Analisis Pola dan Dampak Serangan Cryptojacking dengan Menggunakan Metode Analisis Dinamis dan Analisis Statis Mesakh Herdian Pamungkas; Dian Widiyanto Chandra
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.v9i5.5041

Abstract

In the current era of globalization, people's daily activities are highly dependent on technology. The development of this technology is certainly utilized by many different parties. In addition to taking advantage of the positive side, there are also parts that take advantage of the negative side. In this case it is like developing criminal software or what is commonly called cybercrime. One form of this crime is cryptojacking. Cryptojacking is the dark side of cryptocurrency mining and poses a threat to website visitors or end-users. This research was carried out with a 6-step method which resulted in the result that based on static and dynamic malware analysis, the installation of Crackonosh itself runs by replacing important files on the Windows system and abusing Windows Safe Mode to damage the order and defense of the Windows system
Rancangan Sistem Manajemen Skripsi Berbasis Web Menggunakan Metode Rapid Application Development (RAD) Novan Alkaf Bahraini Saputra; Harja Santana Purba
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.v9i5.5012

Abstract

This study aims to develop a thesis management system that can facilitate the management and monitoring of student thesis progress. For this reason, it is necessary to develop a web-based thesis management system that can handle these problems and is based online to facilitate access that is not limited to time and space. The thesis management system is made to serve the entire flow of thesis activities in the computer education study program, starting from the submission of topics, the seminar process, guidance to the assessment of the thesis trial. The design of the system uses the rapid application development ( RAD)  method. Design using UML, such as use case diagrams and activity diagrams, is equipped with entity relationship diagrams (ERD) and interface design using Figma. The technologies used are Laravel PHP Framework, Bootstrap, Javascript JQuery Library, and MySQL Database. Blackbox testing is carried out for all features in the system that are successfully run according to the scenario. 25 student respondents agreed that the thesis management system developed has ease of use and design accuracy. Testing the system generates data that the system is ready for use and implementation. So the system created is considered applicable to the FKIP ULM computer education study program
Mengukur Tingkat Kepuasan Pengguna SIGESIT Kabupaten Bima Menggunakan System Usability Scale Dan Pieces Framework Valian Yoga Pudya Ardhana
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.v9i5.4955

Abstract

SIGESIT is an application owned by the local government of Bima Regency which is managed by market managers throughout Bima Regency to provide market information that is accountable, transparent and participatory. This SIGESIT application was created to overcome market management problems that are not in accordance with the prevailing policy directions. So that with the SIGESIT application, market management, totaling 30 markets in Bima Regency can be monitored in real time to uphold the principles of transparency and accountability. However, since the application was launched, the level of user satisfaction has not been tested, in this case the market operator throughout Bima Regency. Therefore, in this study an evaluation was carried out by measuring the level of satisfaction of SIGESIT users using 2 methods, namely the System Usability Scale and the PIECES Framework. The results obtained using the Pieces Framework method is a value of 4.22 which is taken from the average value of 6 domains. This value is in the very satisfied category. While the results of the SIGESIT user satisfaction level based on the System Usability Scale method are obtained a value of 74.01 where the value for the acceptability range version is Acceptable, while the grade scale results from the level of user acceptance are included in class B. Based on the results of measurements using these 2 methods The results obtained are almost the same, which shows that SIGESIT is accepted by users and is suitable for use
Penerapan Metode Mobile-Net Untuk Klasifikasi Citra Penyakit Kanker Paru-Paru Umi Khultsum; Fajar Sarasati; Ghofar Taufik
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.v9i5.4918

Abstract

Lung cancer is the main cause of all cancer diagnoses which reaches 13 percent in the world. According to WHO, lung cancer is the most common type of cancer in men in Indonesia and the fifth most common for all types of cancer in women. This is because the majority of smoking is experienced by men, causing lung cancer. Until now there is no suitable screening method for lung cancer in general. Screening methods that have been recommended for the detection of lung cancer are limited to high-risk patient groups. Whereas the risk of the severity of lung cancer will be even greater if it is not detected early, so as a result lung cancer patients are increasingly difficult to treat. The development of this biomedical technology can be used to assist the early detection process in patients suffering from lung cancer regardless of the criteria for the high risk group first, because if cancer is detected early, the death rate decreases. So in this study the researchers segmented and classified lung cancer using one of the architectures of the CNN algorithm, namely Mobile-Net to facilitate the classification and detection process of lung cancer. As the results of the research conducted by the author on the image of lung cancer with the K-Means segmentation process and classification using the CNN method with the Mobile-Net model, the accuracy is 96.70% and the validation accuracy is 90.45%. This shows that the classification using Mobile-Net with the segmentation process first on the lung cancer image can properly classify the type of disease well
Analisis Perbandingan Algoritma Round-Robin dengan Least-Connection Terhadap Peningkatan Nilai Throughput Pada Layanan Web Server Alfry Aristo Jansen Sinlae; Muhammad Bagir; M Hadi Prayitno
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.v9i5.4995

Abstract

The massive growth of the current internet network has triggered an increase in the number of users connected to various server services. These conditions must be handled with a good server system. This can be accomplished through the implementation of many servers, because with many servers the incoming load will be unraveled. One method that can be used in distributing the received load to a number of servers is load balancing. This study aims to obtain the best throughput value from the load balancing method using round-robin and least-connection algorithms. The results of the connection test with a request value of 500 connections/second for 1000 requests, 600 connections/second for 1200 requests, load balancing with the least-connection algorithm looks a little better. This condition is caused by the distribution of active connections that can still be handled by each server. However, during the test period of 700 connections/sec for 1400 requests, 800 connections/sec for 1600 requests, and 900 connections/sec for 1800 requests there was a change in the ability to respond to incoming requests. This certainly has a significant impact on the throughput provided by the server when processing a request.
Sistem Analisis Prediksi Penjualan Vitamin di Apotek Menggunakan Metode Trend Moment Rahmadona Nasrun Nasution
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.v9i5.4715

Abstract

The coronavirus pandemic has also paralyzed the world economy, including Indonesia, in several sectors such as tourism and MSMEs. However, other sectors such as health and food remained stable and even experienced a surge in sales, especially sales of vitamin drugs at pharmacy outlets. One of them is Apotek Manjur Marendal, which experienced an increase in sales of medicines such as vitamins during the pandemic. To meet consumer demand and to process the right stock of vitamin drugs so that there is no loss, a prediction technique for vitamin drug sales is needed with data mining. With data mining techniques, Apotek Manjur Marendal can predict sales during the pandemic, so that profits and losses and stock of vitamin drug sales can be controlled. Data mining techniques require methods to make the calculations more complex. Several methods have been created by several inventors, one of which is the Trend Moment method. Based on the prediction results of vitamin drug sales using the Trend Moment method on sales data for 1 year during the 2021 pandemic period, it was obtained prediction results for the next 1 year in the 2022 period that sales of vitamin drugs such as Becom C, Enervon C, Ester C, Hevit C and Vitalong C stable with sales ±5000vitamin drugs sold in total, while the prediction accuracy reached the highest accuracy > 90% and the lowest accuracy 64%.
Penilaian Mutu Pendidikan Berdasarkan Ketersediaan Sarana Prasarana di Masa Pandemi Covid-19 Menggunakan Metode AHP Gilbert Yesaya Likumahua; Sri Yulianto Joko Prasetyo
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.v9i5.4937

Abstract

This study aims to know the infrastructures used for the teaching-learning process and the effort made to improve education quality during the pandemic of Covid-19. The method used by the researcher was descriptive qualitative. The subjects of this study were four senior high schools in Salatiga. AHP method approach was used in conducting this study. Meanwhile, Questionnaires and interviews were used as instruments for data retrieval. The data collected will be analyzed using literature-based data triangulation techniques. The results showed that some criteria have a high impact on improving the quality of education based on infrastructure tools: bandwidth with 0,397 (39%), lcd with 0,245 (24%), computer lab with 0,242 (24%), the  number of computers 0,064 (6%), and the last was the access point with 0.053 (5%).
Kinerja Algoritma Convolutional Neural Network dalam Klasifikasi Covid-19 Varian Omicron Berdasarkan Citra Ct-Scan Thoax Odi Nurdiawan; Ruli Herdiana; Irfan Ali; Melia Melia; Mia Fijriani
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.v9i5.4884

Abstract

The second wave of the Covid-19 tsunami in India has broken the record for the highest number of additional cases and deaths in the world. Variant mutations are one of the contributing factors. Infection Crown variant Delta (B.1.617.2) is a mutation of the Covid-19 infection that has been endemic (SARS-CoV.2 B.1.617). The problem in this study is that the level of accuracy is still low in determining the covid-19 variant of the omicron resulting in uncertainty in decision makers by experts so that this research is needed to help with excellent accuracy measurements. The purpose of this study is to find a good model by applying the Convolutional Neural Network algorithm so that it can increase high accuracy and can be used in decision making by medical experts. The results of this study provide important information that the image size and the amount of input data greatly affect the level of accuracy in the Convolutional Neural Network method with the stages of data collection, preprocessing, Image Augmentation, Resize, Split Data, Convolutional Neural Network Architecture, Convolution, Pooling, Flattening, Full Connections, and Evaluations. Accuracy results with 400 input data produce training and testing (validation) on a chest x-ray image dataset using the Convolutional Neural Network architecture that has been created, 30 iterations (epochs) and 30 step_per_epochs showing an accuracy value of 0.88 or 88 % and the loss value is 0.3119 and the accuracy results with input data are 800 data, resulting in training and testing (validation) on the chest x-ray image dataset using the Convolutional Neural Network architecture that has been created, iterations (epochs) 30 times, and step_per_epoch as many as 30 shows an accuracy value of 0.93 or 93% and a loss value of 0.2711
Perancangan Web E-Commerce Dengan Menggunakan Pendekatan WISDM Indra Setiadi Ramadhan; M Izman Herdiansyah
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.v9i5.4847

Abstract

Cahaya Konveksi Shop is an industry that manufactures apparel, such as t-shirts, polo shirts, shirts, training pants, jackets, and so on. On a normal day the Cahaya Konveksit Shop can produce 100-500 t-shirts in a day, while at the beginning of the semester or new student registration at school, Cahaya Konveksi Shop can produce 500-1000 t-shirts in a day because many schools make uniform t-shirts for students new. The problem found from this store is that there are many competitors who have just started the same business as the Cahaya Konveksi Shop, which has an impact on reducing the number of orders. With this situation, stores are required to make innovations in service to consumers. The application of web-based E-Commerce is one solution to this problem. In the system there is also the WISDM Method (Web Information System Development Methodology) which is a method in system development that aims to make a program quickly and gradually so that it can be immediately evaluated by the user. In addition, WISDM also makes the process of developing information systems faster and easier, especially when user needs are difficult to identify. With this website, Cahaya Konveksi Shop has superior value that its competitors do not yet have, by adding features that can make it easier for sellers and buyers to do business. The result of this research is to create a web-based e-commerce information system at the Cahaya Konveksi Store
Analisis Manajemen Risiko Teknologi Informasi dengan ISO 31000:2018 pada PT Bayu Buana Tbk Devy Putri Natalie; Augie David Manuputty
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.v9i5.4797

Abstract

At this time, almost all organizations/companies use IT to support their business processes. The presence of IT makes work easier for organizations/companies. Especially with the Covid-19 pandemic which has had a huge impact on several business sectors. One of them is in the travel services business sector. In a situation swayed by the pandemic, PT Bayu Buana Tbk, which is one of the companies engaged in the travel services business, chose to change its business strategy by using IT to survive amidst the pandemic. This decision is very appropriate and in line with the mission and vision of the company. However, the advantages provided by IT, have disadvantages in the form of risks that can occur. This risk is unavoidable. However, the impact can be minimized with IT risk management. Therefore, researchers are interested in conducting IT risk management at PT Bayu Buana Tbk. To assist researchers in conducting (qualitative) analysis, researchers use the ISO 31000:2018 framework. From the results of the study, there are 21 possible risks which are divided into 3 risk levels, namely 8 high-level risks, 10 medium-level risks, and 3 low-level risks. It was also found answers to whether or not the strategy implemented by the company and the good/bad implementation of IT at branch offices were other objectives of the research. So that researchers can provide suggestions to help the company achieve its vision and mission

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