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IJISTECH (International Journal Of Information System & Technology)

ijistech
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Published by STIKOM Tunas Pematang Siantar

ISSN : 25807250 EISSN : - DOI : -

Core Subject : Science,

Computer Science & IT

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.

Arjuna Subject : -

Articles 394 Documents

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Audit of IT Governance in the Field of Resource Management at the North Sumatra Investment and Licensing Service Office Based on the COBIT 5 Framework Ilka Zufria
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

At present, information technology is an important part for companies to meet their needs and support the achievement of strategic plans for the company. Providing competitive advantage, increasing effectiveness, time, and reducing expenses is the role of information technology that is very vital in today's business trade. By researching information technology governance using the COBIT 5 Framework in a company, it can be seen whether the company has met the requirements of the C indicators. In this study, we discussed resource management audits at the North Sumatra One-Stop Integrated Investment and Licensing Service Office to find out these capability indicators and have obtained results by conducting interviews using questionnaires distributed online to employees at the Service. With this research, we found that some indicators do not meet the capability of a company.

The Utilization of Smart Price Application Based Android Very Karnadi; Sunarsan Sitohang
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The increasing purchasing power of consumers in purchasing products at large stores nowadays often displays only samples of goods. So that customers often feel confused to see in detail the form of goods to be purchased, so that customers often feel confused and seek employees to ask questions about the details of the item to be purchased. The main objective of this research is to create, design and build a front end database server that is useful for consumers in increasing customer convenience in shopping at the mini-market retail business. The use of the application that will be made is in the form of a barcode scanning feature wherein each individual there is information in the form of item details such as id, name, dimensions, quantity, colour, price, and images of goods obtained from the scanned items that have been entered into their respective identities description of goods. The app also features a fast checkout feature. The use of this application can be searched using an internet application. It can be accessed wherever the customer is because the cashier programming is directly connected to the web server provided by the supermarket.

Evaluation of E-Learning Implementation During the Covid-19 with the DeLone and McLean Models Nariza Wanti Wulan Sari; Wahyu Yanuartha; Muhammad Yani; Sulfikar Rakita Dewa
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

During the Covid pandemic the learning process was carried out using e-learning media. SMK TI Airlangga Samarinda is one of the schools that has used e-learning in its learning process both before the Covid pandemic. Furthermore, an evaluation of the success of e-learning implementation will be carried out using the DeLone and McLean information system success model (D&M IS Success Model). In this model, there are six measurement variables, namely system quality, information quality, service quality, usage, user satisfaction, and net benefits. The purpose of this study is to provide an overview of the use of e-learning at SMK TI Airlangga Samarinda to the school and to find out the factors that influence the successful implementation of e-learning at SMK TI Airlangga Samarinda. To achieve this goal, SEM-PLS analysis (structural equation model - partial least square) is used. The subjects used were 336 students of SMK TI Airlangga Samarinda. The sampling technique used in this study was purposive sampling, with consideration of the availability of data obtained a sample of 192. Data collection techniques in this study using questionnaires, interviews, and literature study. The results of this study indicate that the quality of information and system quality in e-learning has a positive effect on the satisfaction of using e-learning which in turn has an effect on the benefits felt by students while using e-learning. In addition, the quality of the e-learning system also has a positive effect on the intensity of e-learning use, which means that the better the quality of the system will increase the intensity of e-learning use.

Implementation of Combination Vigenere Cipher and RSA in Hybrid Cryptosystem for Text Security J Jamaludin; R Romindo
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

According to the key used, cryptography can be divided into two, namely: symmetric cryptography and asymmetric cryptography, each of which has advantages and disadvantages. The selection of asymmetric cryptographic algorithm can perform the encryption process in a short time, but the key security is less secure, so it must be changed frequently. While asymmetric cryptography is the opposite, the security of key distribution can be overcome, but the data encryption process is slower. The coding process in this study uses two cryptographic algorithms, namely the Vigenere Cipher algorithm as an example of the symmetric algorithm and the RSA (Rivest Shamir Adleman) algorithm which is an example of an asymmetric algorithm. The purpose of this research is to calculate and implement so that it can be applied to overcome the weaknesses that occur from the two types of cryptography. The hybrid cryptosystem coding method is always used to overcome the weaknesses of the two cryptographs. The results show that there is an increase in security in encryption because there will be two encodings, namely message encoding with the Vigenere Cipher cryptographic algorithm and key coding with the RSA cryptographic algorithm. Besides, there is an increase in the time in the encryption and decryption process. From the results of the research, it takes 424 milliseconds in the encryption process and 335 milliseconds for the decryption process with 59,400 characters. A hybrid cryptosystem coding method using a combination of Vigenere Cipher and RSA can be implemented to increase text security and increase speed in the encryption process.

Implementation of Data Mining Algorithms for Grouping Poverty Lines by District/City in North Sumatra Mhd Ali Hanafiah; Anjar Wanto
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The poverty line is useful as an economic tool that can be used to measure the poor and consider socio-economic reforms, such as welfare programs and unemployment insurance to reduce poverty. Therefore, this study aims to classify poverty lines according to regencies/cities in North Sumatra Province, so that it is known which districts/cities have high or low poverty lines. The grouping algorithm used is K-Means data mining. By using this algorithm, the data will be grouped into several parts, where the process of implementing K-Means data mining uses Rapid Miner. The data used is the poverty line data by district/city (rupiah/capita/month) in the province of North Sumatra in 2017-2019. Data sourced from the North Sumatra Central Statistics Agency. The grouping is divided into 3 clusters: high category poverty line, medium category poverty line, and the low category poverty line. The results for the high category consisted of 5 districts/cities, the medium category consisted of 18 districts/cities and the medium category consisted of 10 districts/cities. This can provide input and information for the North Sumatra government to further maximize efforts to overcome the poverty line in the area.

K-Medoids: Inflation Clustering of 90 Cities in Indonesia (January-October 2020) Mhd Ali Hanafiah
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Inflation affects society and the economy of a country. For the general public, inflation is a concern because inflation directly affects the welfare of life, and for the business world, the inflation rate is a very important factor in making various decisions. Therefore, the aim of this study is to cluster the inflation rate that occurs in 90 cities in Indonesia, so that it is known which cities have high, medium, or low inflation levels. The grouping algorithm used is K-Medoids data mining. The research data is quantitative data, namely inflation data that occurred in 90 major cities in Indonesia from January to October 2020. The data was obtained from the Indonesian Central Statistics Agency. The clustering in this study is divided into 5, among others: cities with very high inflation rates, cities with high inflation rates, cities with moderate inflation rates, cities with low inflation rates, and cities with very low inflation rates. Based on the results of clustering analysis using rapidminer, for cities with a very high inflation rate category consists of 1 city (available on Cluster_4), high category consists of 4 cities (Cluster_0), medium category consists of 4 cities (Cluster_3), low category consists of 79 cities (Cluster_2) and very low category consisted of 2 cities (Cluster 1). This can provide information for the Indonesian government to keep the inflation rate stable.

Face Recognition Using Tiny Yolo V2 Algorithm as Attendance System Hafidz Sanjaya; Dony Susandi; Sandi Fajar Rodiyansyah
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Nowadays many websites use the usual online attendance system which does not pay attention to safety and comfort factors so that attendance activities still have a gap of cheating. Therefore, in this study the study of the application of face recognition systems in real-time using the Tiny Yolo V2 algorithm in the online attendance system. The study was conducted with several stages starting from collecting face images, the process of image improvement (preprocessing), face detection, face recognition, and data integration using web service. The test results of 10 students, each of whom has a face image facing forward as a dataset with 4 variations of distance, each of which performs 10 different face position scenarios. Based on the test results it can be concluded that the farther the distance of the face image with the webcam, the success rate decreases, it is shown at a distance of 0.5 meters the percentage of success reaches 97% and at a distance of 2 meters 88% where 2 faces are not detected and identified at the distance is due to wearing glasses and having rather dark skin.

GRDP Growth Rate Clustering in Surabaya City uses the K-Means Algorithm Nur Ahlina Febriyati; Achmad Daengs GS; Anjar Wanto
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Gross Regional Domestic Product (GRDP) is an indicator used to measure economic performance in a period. GRDP is the amount of added value generated by all business units in a particular area. It can also be said to be the sum of the value of the final goods and services produced by all economic units. Therefore, this study aims to cluster the GRDP Growth Rate according to business fields in the city of Surabaya, so that it is known which sectors have high or low growth. The clustering algorithm used is K-Means. By using this method, the data will b,e grouped into several clusters, where the implementation of the K-Means Clustering process uses the Rapid Miner tools. The data used is the GRDP Growth Rate in Surabaya City by Business Field, 2010-2019 (Percent). The data is divided into 3 clusters: high, medium, and low. The results obtained are nine categories/sectors with high clusters, 5 categories / sectors with medium clusters, and three categories,s / sectors with low clusters. This can be input and information for the Surabaya City government to further maximize efforts to increase the GRDP Growth Rate in the area.

The Mapping Model is in the form of Clustering of Workers' Hourly Wages by Region in Indonesia using the K-Means Method S Suhendra; Siti Aisyah
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Wages are a very important element in manpower activities because the main purpose of working people is to get wages or salaries which will be used to meet daily needs. The hourly wage system for workers in the Province affects the wages received by workers. The research objective is to create a cluster model of the hourly wages of workers in Indonesia by region. The data used in the mapping is data on workers' hourly wages for 2017-2018, which are managed by the Central Statistics Agency (abbreviated as BPS). The technique used is clustering with the k-means method, which is part of data mining. This process uses two cluster labels, namely the high wage cluster (C1) and the low wage cluster (C2), with a maximum Davies Bouldin value of 0.490. The research results were obtained from 34 regions in Indonesia, twenty-seven provinces were in the low category cluster (C2), and seven provinces were in the high category (C1). This can be used as input for the provincial government to make policies on hourly wages in Indonesia that have an impact on the welfare of the community.

Fuzzy Inference System In Predicting Unemployment Levels In Batam City Nanda Jarti; Sestri Novia Rizki
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Batam city is known as an industrial city in Indonesia; this can be seen from a large number of Indonesians who come to the Riau Islands to work. The company standards in accepting industrial employees can be seen from various aspects, such as age, education, company, opportunities, and job vacancies. Each of these aspects can be used as a decision-making system in predicting unemployment in Batam City. The method in completing this research is using the Sugeno method by taking the highest score and using the operator and. Sugeno's work steps are four. The first is the determination of the input value, the second is the inference engine, the third is the application of the Implementation function, and the fourth is the definition to get the final value—application for determining job vacancies using Matlab software.

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