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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 1,069 Documents
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PERANCANGAN APLIKASI PREDIKSI JUMLAH SISWA BARU PADA YAYASAN CERDAS MURNI MENGGUNAKAN EXPONENTIAL SMOOTHING Khairun Nisa Ulfa; Muhammad Syahrizal
JURIKOM (Jurnal Riset Komputer) Vol 3, No 6 (2016): Desember 2016
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v3i6.174

Abstract

Prediksi (forecasting) merupakan alat bantu yang penting dalam perencanaan yang efektif dan efisien khususnya dalam bidang ekonomi.  Dalam organisasi modern mengetahui keadaan yang akan datang tidak saja penting untuk melihat yang baik atau buruk tetapi juga bertujuan untuk melakukan persiapan peramalan. Langkah penting setelah prediksi dilakukan adalah verifikasi prediksi sedemikian rupa sehingga mencerminkan data masa lalu dan sistem penyebab yang mendasari permintaan tersebut. Sepanjang representasi prediksi tersebut dapat dipercaya, hasil prediksi dapat terus digunakan. Sekolah merupakan lembaga pendidikan formal yang sistematis melaksanakan program bimbingan, pengajaran, dan latihan dalam rangka membantu siswa agar mampu mengembangkan potensinya baik yang menyangkut aspek moral, spiritual, intelektual, emosional maupun sosial.
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
Pengintegrasian Penyimpanan Google Drive Pada Pembangunan Aplikasi Monitoring Project Menggunakan pyDrive Devylia Todingbua; Nina Setiyawati
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.v9i4.4452

Abstract

In a company that works on many projects, a system that can be used to monitor progress is needed. Monitoring is an assessment activity that is carried out continuously to see the progress of a task. Monitoring is important to make sure the project that is being carried out can run well. In this research, a Monitoring Project application was built using the Agile Software Development method. The application is made to make data managing and progress monitoring easier. In addition, a feature will be added to store and share project file access rights to the team members so that the files related to the project can be properly centralized. The application is built using the Python Flask and Webix Javascript framework. The application will be integrated with Google Drive storage using Google Drive API. The integration will be done with the help of the pyDrive library which can simplify Google's OAuth 2.0 authentication. pyDrive also warps the functions of the Google Drive API so the program code becomes more object-oriented. Applications then will be tested using the black box method which focuses on testing the application functions. Based on the testing results, the application can be used to do monitoring projects and help users in sharing project files with fellow team members. The Monitoring Project Application from this research can be used to monitor project progress and share project drive with team members
Hate Speech Hashtag Classification on Twitter Using the Hybrid Classifier Method Aulia Rayhan Syaifullah; Yuliant Sibaroni
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.v9i4.4548

Abstract

Hate speech on social media, especially Twitter, often takes the form of racism, sexism, or political interests aimed at certain individuals or groups. These actions can trigger crime, riots, violence and even resistance to individuals or groups. Therefore, we need a process of classifying a tweet whether it is hate speech or not to reduce the abuse that occurs on Twitter. The technology used in the classification of hate speech that is most commonly used is neural networks that require user data and meta data. In previous studies, the Naïve Bayes (NB) method has been used using the bigram, unigram and feature selection features with an accuracy of 80-85%. The k-Nearest Neighbor (kNN) method has also been used which has an accuracy of 70-85% on the clarification of hate speech by political figures. Meanwhile, the most widely used method is the Support Vector Machine (SVM) method with an accuracy of 70 to the highest 95%. To get a higher accuracy in the classification of hate speech, this study will perform a Hybrid Classifier on the Hate Speech Hashtag Classification process using a combination method of MLP, kNN, NB. The data used in this study are Twitter Tweets from November 2021 to June 2022 regarding trending hashtags. The average accuracy performance results obtained using MLP, kNN, NB were 72%, 63%,73% respectively. To improve the accuracy of the classification results of the three methods, a combination of methods using the Hybrid Classifier is carried out. Experimental results show Hybrid Classifier with voting method can increase accuracy up to 74%. It was found that the use of a hybrid can provide a better system performance than the 3 classifiers in its composition, namely kNN, NB and MLP 
Rancang Bangun Sistem Informasi Pendaftaran Pembuatan Surat Izin Mengemudi Berbasis Web M Fajar Riansyah; Suendri Suendri
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.v9i4.4671

Abstract

Police have a very important role in society. The main task and function of the police in protecting the community is the main thing to do in order to create order in society. The traffic police currently acts as a service that takes care of making a driving license (SIM). So far, SIM registration is still done manually by police officers. Therefore, the applicant must go directly to the Deli Serdang Police Traffic Unit to register and fill out the form, then the officer will enter the applicant's data individually. So it must require higher accuracy for officers when entering applicant data, then it can result in long queues for applicants and can take longer. To assist officers in managing applicant data and avoid long queues. So a website-based driving license registration information system was built. With the creation of this system, it is hoped that it can be the best alternative for the Deli Serdang Police Traffic Unit officers in improving performance, especially in terms of services for managing a driving license (SIM). So that there are no longer queues that are so long and applicant files that accumulate in the archive warehouse. In building this system the author uses MYSQL as a database, PHP and HTML as a programming language, and uses the waterfall method in designing and formulating problems 
Sistem Pengendalian Salinitas Air Pada Budidaya Cacing Nipah Namalycastis rhodochorde Berbasis Internet of Things (IoT) Muhammad Soneta Rizkilillah; Ikhwan Ruslianto; Junardi Junardi
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.v9i4.4688

Abstract

Nypa palm worm (Namalycastis rhodochorde) is a new species of Polychaeta class found in Sei Kakap area. Apart from being obtained from the river coast, cultivation is one way to get worms, but the cultivation of nypa palm worm is still within the scope of the lab and is done manually. Manual cultivation has a problems, especially in controlling water salinity which affects the survival or survival rate of worm. Therefore, this requires an Internet of Things in installation of worm cultivation. This system aims to control the salinity of the water and then monitor the salinity and temperature of the water as well as the temperature and humidity of the air. Another goal is to control water salinity which affects the survival rate of worms. The results of monitoring and controlling the water salinity will be displayed on a website-based application. Arduino Uno is used as hardware that controls the system, NodeMCU ESP32 is used as a tool to connect to the server, water salinity sensor is used to measure water salinity, DS18B20 sensor is used to measure water temperature, as well as DHT11 sensor is used to measure air temperature and humidity. The results of testing the reading system of each sensor obtained an error value 0,017% and 0,032% water salinity sensors, 0,015% DS18B20 sensor, as well as 0.011% and 0.003% DHT11 sensor. Application of the system can reduce water salinity by 1-3 ppt and resulted in the survival rate of worms by 41%.
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.

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