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IJISTECH (International Journal Of Information System & Technology)
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 10 Documents
 1 
Search results for , issue "Vol 4, No 2 (2021): May" : 10 Documents clear
Implementation of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in Recommendations for New Position in Companies Mesran M; Eka Pratiwi Sumantri; Supriyanto S; Syafrida Hafni Sahir; Nelly Khairani Daulay
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to provide support to management in recommendations for promotion of employee promotions, with the aim of providing motivation to employees. The problem encountered at this time is the number of employees making it difficult for management to choose employees to recommend in promotions for promotions. In this research, the method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which is a fairly good method in ranking where the best alternative is the alternative that has the closest distance to the best alternative and far from the worst alternative. From the research results, it can be concluded that the A5 alternative is the best with a value of 0.748 and can be recommended in a new position promotion at the company.
An Information System Landscape of Indonesia Tourism Destination Azril Azahari; Sultan Sabiq Arrafi; D Damiasih; Aldi Wisnumurti
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.100

Abstract

Tourism and information technology are two things that are currently interrelated. The use of information technology in the tourism sector is very influential in its current development. One of the information technologies approaches used is the information system regarding tourist destinations in Indonesia. The use of the information system is used to make it easy for media users to access information about tourist destinations. All kinds of information conveyed from destinations, routes, attractions, facilities, and others are combined into one information system. In this paper, we present an information system landscape of indonesia tourism destination. We review information system usage for tourism destination. We show that the use of the information system for tourist location destinations can continue to be developed to get the trust of its users, starting from the facilities in the system, to the benefits of its use such as ease of search, ordering or reservation, and others. Finally, we present open problems for future research recommendations.
The application of the Analytic Hierarchy Process method to the selection of dominant factors for adolescents who are prone to insecurity Indra Riyana Rahadjeng; Muhammad Noor Hasan Siregar
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.107

Abstract

Teens are often stressed, worried, and overly insecure as a result of their high expectations. The feelings that occur during adolescent development can create and increase feelings of insecurity in their lives, which has a negative impact. Adolescents with an excessive sense of insecurity can suffer from mental disruption, which can lead to serious mortality. Of course, these factors can have a negative impact on adolescents' mental health. Adolescents' minds and psyches can be disrupted by mental illness. The goal of this study is to identify the dominant factor among a number of factors that can lead to insecurity when using the Decision Support System (DSS) technique. Analytical Hierarchy Process is the DSS method used (AHP). The data used in this study was gathered through observations and interviews with adolescents using a random questionnaire. Six factors were derived from observations and interviews: social environmental factors (A1), family environmental factors (A2), social media factors (A3), insecure factors (A4), trauma factors (A5), and education and work factors (A6). The results of the AHP method show that the main factors for adolescents who are easily insecure are social environmental factors (first), social media factors (second), and family environmental factors (third) (third).
Facebook-based Tourism Promotion in Indonesia Amin Kiswantoro; Eufemia Sarina; Azril Azahari; Nur Rohman
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.101

Abstract

Promoting a tourist destination, Facebook is one of the best social media platfroms can be employed. Facebook has been known by everyone for a long time and hence even though there are many new features, people are still using Facebook. By posting on Facebook wall, most young people shared something including tourism promotion. They will post photos or videos with exciting words and greetings to other polite users. Indeed, previously tourism promotion was still minimal because many people were not familiar with social media. But along with the times, their mindset changed. They learn to use social media and at the same time make tourism is getting more intense in Indonesia. Here we will briefly discuss Facebook as a medium for promoting tourism in Indonesia. We present a review on the usage of Facebook as a platform for tourism promotion made by many scholars in Indonesia. We further present a discussion on what should tourism business player should do on their Facebook promotion page. Finally, we present open problems for future research recommendations.
A Review of YouTube for Tourism Promotion in Indonesia D Damiasih; Arneta Rohma Agustina; Azril Azahari; Dwiyono Rudi Susanto
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.102

Abstract

Currently, YouTube as one os popular social media platrom is something that has potential as a medium for tourism promotion. This is because YouTube is a social media that has the second largest number of users, it can also be an effective media for promotion since YouTube displays visual and audio that are considered to be attractive. Hence, it can contribute to grow and increase the interest of tourists to visit. This has been proven by several countries that tourism sectors have become famous since the videos uploaded through the YouTube. There are several things that must be considered by Indonesia in making tourism promotional videos. Therefore, this paper presents a review on the usage of Youtube as platform for tourism promotion made by many scholars in Indonesia. This paper further presents a discussion on what should tourims business player should do on their YouTube promotion channel. Finally, we present open problems for future research recommendations.
Analysis of ANN Backpropagation Ability to Predict Expenditure Group Inflation Mhd Ali Hanafiah; Ni Luh Wiwik Sri Rahayu Ginantra; Achmad Daengs GS
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.103

Abstract

The Covid-19 pandemic that has hit the world, especially Indonesia, has greatly disturbed the stability of the inflation rate. Inflation that continues to increase will disrupt the economy in this country. Therefore this study aims to analyze the ability of ANN backpropagation which will be applied to predict the development of the inflation in Indonesia during the Covid-19 pandemic so that later it can be useful information for the government and society. The research data used is inflation data according to expenditure groups obtained from CBS (Central Statistics Agency) in January-May 2020. Prediction is done using the backpropagation neural network algorithm. This paper uses four network architectures, namely: 3-5-1, 3-10-1, 3-25-1 and 3-50-1. Based on the training and testing of the four models, the 3-10-1 model is the best architectural model that is suitable for predicting the development of the inflation in Indonesia with an accuracy of 75%. Also, this model performs an iteration of 25303 and an MSE test of 0.0362820326. Based on the prediction results in June-August 2020 and real data obtained from the Central Statistics Agency, ANN using the backpropagation method is highly recommended to be used to predict the development of Indonesian Inflation according to the Expenditure Group.
Evaluation of E-Learning Implementation During the Covid-19 with the DeLone and McLean Models Sari, Nariza Wanti Wulan; Yanuartha, Wahyu; Yani, Muhammad; Dewa, Sulfikar Rakita
IJISTECH (International Journal of Information System & Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.104

Abstract

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.
Geographical Information System for Indonesian Tourist Destinations Ihalauw, John JOI; Tandafatu, Natalia Kristiani
IJISTECH (International Journal of Information System & Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.105

Abstract

Geographical Information Systems have been widely used as a method for effective, efficient and robust decision making in the business world. It has also been used in the selection of precise and accurate tourist destinations. This paper discusses a review of geographical information system for Indonesian tourist destinations. Articles taken from sources in the form of national journals, international journals and conferences proceedings. The author limits the years 2018-2021. Furthermore, the writer will present the taxonomy and summary of the review results. Finally, the authors present research opportunities that have the potential to be studied in the future.
Development of Knowledge Sharing Model Using Decision Support System In Determine Feasible on the Job Training In Vocational School Using Vikor Method Safrizal, S; Ambyar, A; Verawardina, Unung
IJISTECH (International Journal of Information System & Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.99

Abstract

Decision support system (SPK) as a system that can process input data into one information that can be used as a more accurate decision support for the school in recommending students who meet the categories or requirements in following the Job Training. The system that was built carried out the process of determining decision support based on the Vise Kriterijumska Optimizajica I Kompromisno Resenje (VIKOR) method which is able to simplify complex problems in determining feasible to follow the On The Job Trainings based on criteria using formulas whose results are right on target.
Classification of Tomato Leaf Based on Gabor Filter Extraction And Support Vector Machine Algorithm Mhd. Furqan; A Armansyah; Lely Sahrani
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.173

Abstract

Tomato production in Indonesia is reduced because tomato leaves are stricken with disease. The main disease that often attacks tomato leaves is rotten leaves and bacterial patches or commonly called dry patches. Identification of tomato leaf disease is still done manually with human vision. The shortcomings of the method manually required a technology that is able to extract the texture of tomato leaf disease. One of them is by the process of extracting the texture of leaves with gabor filters, namely by using frequency and orientation parameters. Based on the results of the experiment obtained that the input parameter gabor filter with orientation of 90o with a combination of frequency 4 produces a fairly clear contrast. The process of extracting the texture of the leaf aims to get the magnitude value of the tomato leaf that will be used as inputs for the classification process. The svm algorithm grouped data that had the same characteristics into one class. Training data used 42 images and test data used 30 images, with the success rate of 83.33%.

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