IJISTECH (International Journal Of Information System & Technology)
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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<![CDATA[Performance Analysis of Lossless Type of Compression Algorithm in Compression Data ]]>
<![CDATA[Surya Darma Nasution]]>;
<![CDATA[Imam Saputra]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.242
<![CDATA[As a result of processing data in the form of documents too often, document files accumulate on storage media and make the storage media lack free space. One solution that can prevent this is data compression. In this study, we will try to analyze the performance of lossless algorithms, some of which are: Goldbach's Algorithm, Fibonacci's Algorithm, Rice Codes Algorithm, Additive Codes, and Yamamoto's Recursive Codes Algorithm. The main reason why a comparison is needed is to see which algorithm is the best, it is worth doing as a basis for making applications that can compress data because application users want the best results for them, and in this case, are those that can compress files and produce the smallest size compared to other algorithms. The data to be compressed is text data. The results obtained from the test are the Goldbach Codes and Fibonacci Codes algorithms are superior to the third algorithm and several times have the same results, namely compression ratios of 60% to 68% and space savings ranging from 32% to 40%.]]>
<![CDATA[Designing The Concepts of “The Maturity Level of Netizen”: How To Manage Comment & Critics Profiling 1.0 ]]>
<![CDATA[Sasono Wibowo]]>;
<![CDATA[Indra Gamayanto]]>;
<![CDATA[Dewi Agustini Santoso]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.255
<![CDATA[Social media is a new life influenced by the development of information technology. This development raises problems in comments and criticism on social media and the rapid growth of hoax information that affects many sectors of life. This article is the development of two journals: The Development and Implementation of Wise Netizens (E-Commentary) In Indonesia & Social Media and Changing Communication Patterns. The method used is the Johari window, and this method is developed and combined with the concept of comments and criticism on social media. The result of this article is a formula N=K.C2, a unique formula made for netizens and the seven stages of wise netizens (The maturity level of netizens). Furthermore, this formula and framework will provide netizens with a solution to assess them. To what extent a netizen has become wise in making comments and criticisms on social media? Furthermore, these stages will be used to find out, analyze and assess the extent to which comments and critics made by netizens have reached a level that has a standard of communication quality, share their knowledge, and have a two-way discussion.]]>
<![CDATA[Depth First Search Algorithm In Solving the Shortest Route Using the Concept of Generate and Test ]]>
<![CDATA[Alvendo Wahyu Aranski]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.249
<![CDATA[Depth First Search Algorithm is a search process to find the right solution that requires short memory and time in finding the Goal. The problem in this research is the difficulty of salesmen to find alternative short routes to arrive at the final node as consideration for finding solutions. The purpose of this study is to find the shortest path so that salesmen can easily and quickly get to the final solution by saving time and mileage. The Generate And Test concept consists of combining the Depth first search algorithm with the backward tracking process. All processes must be completed before the testing process is carried out. If the General And Test process is carried out sequentially or systematically, it will get the best value in finding a solution, the weakness if the search process is large or extensive then the search process takes a very long time. How it works Generatr and test, namely 1. Generate possible solutions in the form of state states with the concept of a one-position path to the destination path. 2. Test, select whether the solution can be accepted according to the existing criteria 3. If the solution has got the Goal then the search is stopped, if not then the process is continued until finding a solution. The final result of testing the shortest route is A-B-E-J-P-S-U = 25+21+24+24+17+18=129]]>
<![CDATA[Comparison of Fuzzy Time Series and Double Smoothing Holt Methods for Rainfall Forecasting ]]>
<![CDATA[Endang Habinuddin]]>;
<![CDATA[Euis Sartika]]>;
<![CDATA[Neneng Nuryati]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.243
<![CDATA[This research aims to compare the time series forecasting method, namely the Fuzzy Time Series method, with Double Exponential Smoothing Holt. The data used in this study is the rainfall data of the city of Bandung every month from January 2012 to December 2021. The analysis of the two methods is seen for accuracy according to the measure of error, namely MSE (Mean Square Error) and MAD (Mean Absolute Deviation). The results show that the Fuzzy Time Series method has MSE of 15558.89 and MAD of 108.97. While the Doube Smoothing Holt method has MSE of 23367.79 and MA of 115.94 So the Fuzzy Time Series method is reliable to use for forecasting rainfall in Bandung because the error values is lower than that of the Exponential Smoothing Holt.]]>
<![CDATA[Utilization of Arduino as Incinerator Control Using Temperature Sensor ]]>
<![CDATA[Mohammad Ibrahim Ashari]]>;
<![CDATA[Anis Artiyani]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.250
<![CDATA[The waste problem is part of the dynamics of human life. Every human activity must produce waste. Garbage is a pollution that interferes with the health and comfort of the community. Solid waste management is a challenge for developing countries, mainly due to the increase in waste generation. Garbage results in high city budget costs related to its management. One of the impacts of urban development is an increase in the volume of waste. This requires improvement of facilities and infrastructure against limited land. For this reason, good and efficient waste management is needed. In general, waste disposal that does not meet environmental health requirements can result in, among other things, breeding grounds and nests of insects and rats, becoming a source of pollution and contamination of soil, water and air, becoming a source and a place to live. live germs that endanger health. Based on this, the researchers made a tool in the form of a furnace that can be used for waste treatment and burning garbage. From the results of the overall tool testing, to obtain optimal combustion results in the mass of waste (4 Kg) and the combustion temperature setting (200 oC- 300 oC) is fixed, the minimum burning time is 30 minutes]]>
<![CDATA[Information System Employee Attendance at PT. Sigma Cipta Caraka Web-Based Using Coloring and Sequential Search Methods ]]>
<![CDATA[Avi Khoirun Nizam]]>;
<![CDATA[F Fauziah]]>;
<![CDATA[Albaar Rubasy]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.244
<![CDATA[At PT. Sigma employee attendance is still done manually by hand writing into a book by entering the hours of arrival and hours of leaving work. From the TDS unit, the process that was carried out manually was found to be a problem where attendance was not appropriate. Difficult to trace, and a high risk of data loss. On the other hand, employees who work with assignments to leave the office have not been accommodated so employees who are outside the office must return to the office to fill in attendance manually by writing a hand, so a computerized attendance system is needed and can be accessed by employees who are on duty outside the office. by connecting to the internet network, so that problems can be resolved properly. and for monitoring and reporting daily employee attendance can be directly seen and displayed. From the problems above, the writer uses the coloring method to monitor employee attendance and assisted by sequential search for the employee tracking process]]>
<![CDATA[E-PTJOB: Application Link And Match Job Seekers Based On Android ]]>
<![CDATA[Alfredo Pasaribu]]>;
<![CDATA[Yoas Arnest Soetopo]]>;
<![CDATA[Dedy Prasetya Kristiadi]]>;
<![CDATA[S Sutrisno]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.251
<![CDATA[The impact of the corona virus disease-19 has caused many companies to close and workers to be laid off. This also has an impact on the decline in economic growth and the level of welfare of the population in the affected areas. The need for labor management is an urgent and serious matter. The creation of the e-PTJOB application is a breakthrough to deal with this problem. This part-time job seeker application is made with a link and match model where job seekers are met with job seekers based on the needs or requests of job seekers who are not limited by education level. Jobs given by job seekers are temporary with payment based on duration of time, meanwhile prospective workers can choose work categories based on location, level of education and work to be done. The e-PTJOB application begins with registration of job seekers and job seekers where each actor provides data according to his capacity. Furthermore, job seekers will make a deposit on the application via transfer of a nominal amount that will be used to pay workers according to job criteria and work duration. Workers who have already done work will get paid according to the job offer. This e-PTJOB application will assist the government in dealing with cases of unemployment of productive age which are not limited by education level as well as increase the income level of the population in the region]]>
<![CDATA[Decision Support System for Selection of Online Shopping Applications for MSME Product Marketing Using AHP and TOPSIS Methods ]]>
<![CDATA[Enok Tuti Alawiah]]>;
<![CDATA[Dwi Andini Putri]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.245
<![CDATA[MSMEs are business actors who support economic growth and create new jobs for the community. Currently, many business actors use online shopping applications to market their products. One of the reasons is because now many buyers are switching to online shopping. There are many types of online shopping applications. However, research needs to be done to choose the right online shopping application to market their products so that they are right on target and can increase sales turnover. The AHP Topsis method is used to assist the decision making process. AHP is used to calculate comparison values and create a hierarchical structure, while topsis helps in the decision-making process based on the criteria and alternatives offered. The results showed that the final preference value was 0.51 for attractive promotions and the number of active users of the application. Then the alternative applications that can be used are the Shopee and Tokopedia shopping applications based on the five alternatives offered.]]>
<![CDATA[Independent Campus Internship Scholarship Selection System with TOPSIS Method ]]>
<![CDATA[S Sefrika]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.252
<![CDATA[Currently, the Ministry of Education, Culture, Research and Technology provides many internship schemes for students from various universities. However, to get there, universities usually conduct internal selections to screen students who are entitled to take part in the internship selection at independent campuses to match their competencies, abilities and talents. There are many ways that can be done, one of which is to determine certain decisions using the TOPSIS method. TOPSIS is ideally used to help solve problems that offer various alternative criteria. TOPSIS helps in the decision-making process. The results showed that the most ideal criterion was a high cumulative achievement index. The results of the research can be used as a reference model in the decision-making process]]>
<![CDATA[COVID-19 Vaccination Sentiment Analysis on Twitter Using Random Forest and Information Gain ]]>
<![CDATA[Andi Nur Rachman]]>;
<![CDATA[Husni Mubarok]]>;
<![CDATA[Euis Nur Fitriani Dewi]]>;
<![CDATA[Mitha Maharani]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.246
<![CDATA[Covid-19 in Indonesia has increased from January 2021 unti February 2021 there were 1,217,468 people who were confirmed positive for the corona virus. As a result the increase in the number, the government has taken preventive measures, one of which is the distribution of vaccines or vaccinating the Indonesian people, which has been started since January 13,2021. The government’s covid-19 vaccination efforts had a broad influence on the community through social media (especially Twitter) which then led to pros and cons. Therefore, sentiment analysis is needed to predict the tendency of public opinion regarding the Covid-19 vaccination policy which is classified into positive opinions, neutral opinions, and negative opinions. Random Forest Classifier has high performance compared to other machine learning methods. But the Random Forest Classifier is weak in the level of accuracy and stability of data, so it requires a selection feature to increase its accuracy by applying Information Gain which can increase accuracy by optimizing data features. Measurement of accuracy and sentiment prediction is measured by confusion matrix and classification report. The results show that the application of Information Gain can improve accuracy with the highest accuracy obtained in experiment 1 of 0.00747, that is 0.94776 from 0.94029 with a precision value of 0.65, recall 0.43 and f1-score 0.47 and have a tendency to have a neutral opinion on public tweets about the Covid-19 vaccination on Twitter]]>
