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IJISTECH (International Journal Of Information System & Technology)
ISSN : 25807250     EISSN : -     DOI : -
Core Subject : Science,
IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications etc.
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Articles 18 Documents
Search results for , issue "Vol 5, No 2 (2021): August" : 18 Documents clear
Network Security System Analysis Using Access Control List (ACL) Sulaiman, Oris Krianto; Saripurna, Darjat
IJISTECH (International Journal of Information System & Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.131

Abstract

Communication using internet media is a mandatory requirement today to carry out various activities. Communication through the internet will pass through public access, where many people use public access. When communication is in progress, many things can happen before the message reaches its destination. One of them is the occurrence of hacking attempts from irresponsible parties. Therefore, it is necessary to secure the communication process, and many network security methods can be used to secure the communication process in the internet network. Access Control List or ACL is one method that can be used to secure communication in the network. ACL makes it easy to block specific devices and ports to prevent network communication. The results of the ACL implementation have the impact of avoiding access so that not all devices or protocols can access certain communications, thereby increasing network security in the process.
Web-Based Academic Potential Test Information System (Case Study: Faculty of Teacher Training and Education Victory University of Sorong) Leuwol, Natasya V.; Manuhutu, Melda Agnes; Sirajuddin, Muhammad Z.
IJISTECH (International Journal of Information System & Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.125

Abstract

Academic Potential Test (TPA) is a test used to measure a person's ability level. At the Faculty of Teacher Training and Education (FKIP) Victory University, Sorong, TPA was held before the Field Experience Program (PPL) where the implementation was still manual, namely the test was carried out in writing using paper and corrections by the lecturer. It takes a long time to correct and uses a lot of paper. The purpose of this research is to design a Web-Based Academic Potential Test Information System. System development used the prototype method. This research used the PHP programming language, the database is built using MySQL. The result of this study is that this web-based academic potential test information system helps FKIP in conducting online academic potential tests, where this test can be taken anywhere and can see the results directly after taking the test
Designing High Availability Cluster Using Server Virtualization on Cloud Storage Services Ali Idrus
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.119

Abstract

Cloud Storage Service at PT. Harrisma Globaltechnologies Jakarta has not been applied based on virtualization. The problem with cloud storage services in general is that the server is not able to serve a high number of requests as a result the cloud storage server fails. One of these problems is caused by inadequate server resources and less than optimal storage server management. These problems can be solved effectively and efficiently with server virtualization. Where server virtualization is managed by Proxmox. Proxmox is an open-source virtualization platform supported by KVM and OpenVZ hypervisors and can be managed with web-based graphics. Server virtualization collaboration can save server resources by duplicating server services virtually. The research methodology used is clustering by applying the concept of high-availability where there is a secondary server as a backup-server for the primary-server. The results of this study include three parameters, namely Throughput, Response Time, and CPU Usage. The results show that cloud storage servers that implement virtualization than those that do not apply with a difference in the value of the Throughput parameter of 1896.6 Kbps, the difference in the value of the Response Time parameter of 10.6 requests/second, and the difference in the value of the CPU Usage criteria of 11.91%
The Covid-19 Chatbot Application Using A Natural Language Processing Approach Cahyo Prianto; Nisa Hanum Harani
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.133

Abstract

Cases exposed to the Covid-19 virus in Indonesia until June 2021 continue to experience a spike in increases, to handle it, various government policies continue to be rolled out and the public needs to be given correct, precise and fast information so that mutual awareness can be built to suppress cases exposed to COVID-19. With this background, this study aims to design and build a COVID-19 chatbot system based on artificial intelligence based on the Natural Language Processing algorithm. This chatbot is expected to be a place to ask questions about all things related to covid-19 so that it can become a personal assistant with two-way communication that can be accessed quickly for 24 hours. This chatbot system was built using the Python programming language, Node.js server and MariaDB as the database. As a client, this chatbot is integrated with the popular instant messaging application in Indonesia, namely WhatsApp. The data set used to train the chatbot was 369 question data and spread into 46 question tags. Testing the chatbot system using blackbox testing, and to test the expected output, the chatbot was tested using 350 testing data and the accuracy rate of the chatbot in answering reached 54%.
Implementation of Product Sales Forecast Using Artificial Neural Network Method Cholid Fauzi; Aly Dzulfikar
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.126

Abstract

Product sales forecasting is used by companies to estimate or predict future sales levels using sales data in the previous year. The Artificial Neural Network Backpropagation Algorithm can forecast the sales of goods for the next period for each item in the company. The forecasting process begins by determining the variables needed in the network pattern, and then the established network pattern continued in the network training process using the backpropagation algorithm. After carrying out the network training process, the researcher comparisons with several network patterns formed. This research was conducted to discuss the forecasting analysis of PT XYZ products on spiral and leaf springs. Forecasting carried out on Toyota 48210-25290 R3 type leaf springs using the Artificial Neural Network Backpropagation method with a learning rate weight value of 0.1 hidden layers four and an error of 0.01. From the data processing analysis that has been carried out based on the weight parameters selected, the prediction of sales in April.
Aplication of The SMARTER Method for The Selection of The Best Ambassador Brand Nasib Marbun; Muhammad Zarlis; Rahmat Widia Sembiring
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.120

Abstract

This study aims to provide convenience for the company's management to solve problems in the process of selecting the best Brand Ambassador in promoting cosmetic tools. The problem identified in this study is the large number of prospective Brand Ambassadors, causing the management to find it difficult to determine the best Brand Ambassador. In this study, the decision support method applied is SMARTER which can determine the ranking results in the final decision using the level of importance of each parameter. The results of this study conclude that the selection of the best Brand Ambassador who is ranked first is A5 (Lucky) with a value of 0.653108466
Comparative Analysis of Ranking Methods of WASPAS+ROC with Preference Selection Index (PSI) in Determining the Performance of Young Lecturers Fince Tinus Waruwu; M Mesran
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.136

Abstract

Young Lecturers are lecturers who have a relatively new tenure compared to lecturers who have served more than 10 (ten years) at a university. Assessment of the performance of young lecturers at universities is very necessary, it aims to get an assessment of the performance achievements of the tri dharma of higher education that have been passed in several years. In order for the assessment of performance achievements to be more effective, a method is needed in generating decisions. In this study, an analysis of the combination of the Weighted Aggregated Sum Product Assessment (WASPAS) and Rank Order Centroid (ROC) methods was carried out with the Preference Selection Index (PSI) method. The WASPAS method is a ranking method that requires weights. For this reason, the ROC method is used to generate weight values. While the PSI method is a PSI method that is used to rank without the need for a weight value for each attribute. The results showed that alternative A1 is the best alternative with the highest performance with a value of 0.323 (WASPAS+ROC method) and a value of 2.016 (PSI method).
Implementation of Geolocation and Jquery Latest For Salesman Monitoring in Android Based Applications Ganda Yoga Swara; Putri Mandarani; G Giatman; S Syahril
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.127

Abstract

The purpose of this study is to design a sales activity monitoring application by utilizing the existing GPS on a smartphone. This research is an experimental research with the waterfall method. There are 5 stages in the waterfall method, namely requirements analysis, system design, implementation, integration & testing, operation & maintenance. Testing is done by testing the latest geolocation and jquery to see the success, failure or delay in the three test locations. The result of this research is that under the tree the highest success rate is 0.875, the lowest failure rate is 0.125 and the smallest delay (distance between data entry) is 0.45. The conclusion of this study is that the tracking system using Geolocation and the Latest jQuery if implemented in an open space with conditions under trees gets the highest rating compared to other test locations
Developing e-Commerce of Unique Indonesian Souvenirs with Web Engineering Cholid Fauzi; M. Hoeru Riza
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.121

Abstract

E-Commerce Unique Regional Souvenirs in Indonesia is a buying and selling application made to make it easier for tourists to find a place or location for typical regional gifts and make it easier for tourists to order souvenirs during a pandemic like now, as well as a means for traveler's local souvenir sellers to promote their products online. Making regional e-commerce specialties in Indonesia uses the Web Engineering paradigm and system modeling with UML (unified modeling language) with business cases, activities, use cases, and class diagrams. At the same time, the database management software uses MySQL with the PHP programming language and the Laravel Framework. The system design is expected to make it easier for people to find local souvenirs based on the place or location of souvenir merchants and local souvenir sellers to promote their products online
Data mining techniques are being used to map the number of foreign guests at Indonesian star hotels Debi Masri; Sri Kasnelly
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.137

Abstract

Statistics on foreign tourist arrivals show an upward trend in recent years. This is beneficial because foreign exchange in the tourism sector is generated by spending by foreign tourists visiting Indonesia. Mapping the number of tourists who visit Indonesia is necessary to determine the extent of a region's natural potential. The number of foreign guests at Indonesia's star hotels is one indicator that can be used. The goal of this study is to use data mining techniques to visualize the mapping pattern of the number of foreign guests at five-star hotels in order to obtain important information. The Central Statistics Agency (abbreviated BPS) provided the data for the number of foreign guests at five-star hotels in 2017-2019. Clustering with the k-medoids technique is the data mining method employed. The Davies-bouldin index (DBI) operator is used to calculate the number of clusters. The number of good clusters was 3 (k=3), with cluster 0 (low) = 20 provinces, cluster 1 (normal) = 23, and cluster 2 (high) = 1 province, and a DBI value of 0.215 (k=3). According to the study's findings, the province of Bali is one of the areas with the greatest potential for foreign tourist visits (high cluster). Meanwhile, there are 20 provinces with a low number of foreign visitor visits, so this can be used to assess how to increase the number of foreign visitor visits to the province.

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