cover
Contact Name
Agus Perdana Windarto
Contact Email
agus.perdana@amiktunasbangsa.ac.id
Phone
+6282273233495
Journal Mail Official
ijistech@gmail.com
Editorial Address
Jalan Sudirman Blok A No. 1/2/3, Siantar Barat Kota Pematang Siantar, Sumatera Utara Kode Pos: 21127, Telepon: (0622) 22431
Location
Kota pematangsiantar,
Sumatera utara
INDONESIA
IJISTECH
ISSN : -     EISSN : 25807250     DOI : https://doi.org/10.30645/ijistech
IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: http://u.lipi.go.id/1492681220 IJISTECH (International Journal Of Information System & Technology) is a peer-reviewed open-access journal published two times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and practice-oriented papers dealing with advances in intelligent informatics. All the papers are refereed by two international reviewers, accepted papers will be available online (free access), and no publication fee for authors. The articles of IJISTECH will be available online in the GOOGLE Scholar. IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in computer science and their applications in business, industry, and other subjects. 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. • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Cognitive systems • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, fault analysis, and diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High-Performance Computing • Information storage, security, integrity, privacy, and trust • Image and Speech Signal Processing • Knowledge-Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Memetic Computing • Multimedia and Applications • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition, and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high-performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Articles 14 Documents
Search results for , issue "Vol 6, No 2 (2022): August" : 14 Documents clear
Cryptocurrency Sentiment Classification Based on Comments On Facebook Using K-Nearest Neighbor Ramu Will Sandra; Yelfi Vitriani; Muhammad Affandes; Suwanto Sanjaya
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.237

Abstract

Cryptocurrencies continue to develop and have received world attention, price changes that occur every day are influenced by uncertain factors such as political problems and global economic problems. The author will explore the problems discussed by the public regarding positive and negative cryptocurrency comments on Facebook comments using the K-Nearest Neighbor method. This study uses 1000 data comments which are divided into 500 positive data and 500 negative data. The data was obtained manually by using the keyword "bitcoin price" on social media facebook. The results of the testing process using the confusion matrix get the highest accuracy at a comparison of 90: 10 by 62%, recall 70%, error rate 38% and precision 60,34% with k value of 11 and threshold 9.
Maximum Security of Login Pin Data by Combining the Gifshuffle Algorithm and TCC Algorithm Rivalri Kristianto Hondro
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.231

Abstract

System or data security is very important in today's digital era. Various kinds of security techniques used, one of these techniques is the encoding technique by applying a number of cryptographic algorithms. The durability of cryptographic algorithms must of course be known before the algorithm is used and applied to a system or data to be secured. This study discusses the combination of the gifshuffle algorithm and the TCC algorithm for securing login pin characters
Design and Build A Customer-Finding Application For Leko Restaurant Using The K-Means Algorithm Mohamad Yusuf; Muhaimin Hasanudin; Ifan Prihandi
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.238

Abstract

Warung Makan Leko is one of the restaurants in the Jakarta area that offers local cuisine, a diverse menu and delivery orders via phone order. Customers are one source of income for Warung Makan Leko. The amount of competition makes Warung Makan Leko have difficulty in retaining loyal customers. For this reason, further analysis is needed to find out who these potential customers are. Then an application was developed to classify customer data using the K-Means (clustering) algorithm. The data used as an example in this study is the sales transaction data of Warung Makan Leko. Run the process to calculate the total sales to customers and the number of transactions with customers to classify customer data. The K-Means clustering method tries to group the existing data into groups. Data in groups have the same properties. Customer data is grouped into two clusters, no and implicit. Each cluster is then classified based on the prioritized criteria. The cluster with the highest centroid value is the cluster that is rewarded, and the cluster with the lowest centroid value is the non-rewarded cluster. The results of this process form clusters, which are used for advice and consideration to determine sales strategy, namely to reward customers who rank higher in the cluster
Pharzolution Prototype Design: Problem Solving Applications Using Figma for Pharmaceutical Problems in the Jabodetabek Area Wildani Zakiyah; Indah Laily Hilmi; Devi Ratnasari
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.232

Abstract

Today's technology users are very diverse, namely from the younger generation, parents, experts, and ordinary people. Based on the results of the 2019 PISA survey on the world's education system, Indonesia is located in a low position at 74th out of a total of 79 countries. Based on research conducted in Sleman district, public knowledge about self-medication is still at a low level of 52.9%. Finding a job is not an easy thing in Indonesia. Pharzolution is a SaaS-based application to address issues of education, drug use, and information on job vacancies in the pharmaceutical sector. Respondents were made to 15 people consisting of 5 Pharmacy Vocational High School graduates, 5 Pharmacy D3 graduates or S1 Pharmacy graduates, and 5 pharmacists in the Jabodetabek area by applying the design thinking process to find out problems and solve appropriate solutions. Through interviews, the results obtained 6 suggestions that form the main features of the pharzolution application. The process of compiling the user interface display and user experience prototype is carried out through the figma website. The business model design process uses lean canvas which is an adaptation of the business model canvas. Pharzolution has 3 main features, namely pharducation, drug algorithm, and pharjobs
Potential Analysis of Sea Wind Energy To Electricity at Ancol Beach Jakarta Kunto Wibowo
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.239

Abstract

     The background of this research is how to find out the energy level on the Jakarta coast that utilizes sea wind energy into electrical energy with the presence of wind energy as a source of electrical energy in the future at Ancol Beach will be able to help the surrounding community and especially Ancol Beach in developing new and environmentally friendly energy sources. so that it can be developed into energy that can illuminate or help Ancol Beach in creating energy that can always exist. The method used in this research is to use literature reviews and conduct tests on Ancol Beach so that Ancol Beach can know the level of sea wind energy that can be converted into electrical energy. The problem raised in this study is how to change wind energy on a beach so that it can be utilized into good and environmentally friendly electrical energy. The purpose of this study is how to find out the results of the wind power of Ancol Beach Jakarta which will be converted into electrical energy because by knowing how strong the wind strength of Ancol Beach Jakarta will be, you will be able to find out how much power that will be generated can be converted into electrical energy.
Implementation of The Shortest Route Value Calculation Using The Generate and Test Algorithm Andri Yunaldi
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.233

Abstract

Search and tracking issues are important in determining the success of a system based on Artificial Intelligence. One that is well known is the Generate and Test method which is one of several heuristic search models in Artificial Intelligence terminology. Generate and Test is an algorithm that performs tests to find the shortest route in the case of a trip. Generete and test is suitable for measuring the smallest distance. The benefit of this research is to save time and money in traveling the distance to a city. How it works in this algorithm is to see the initial state as a star point and see the final state as a goal state. Perform all calculations to each distance provided that it starts from the initial strat and ends with the end strat. Count all values, choose the smallest value to reach the Final goal. If the search results have been found then the search is stopped, if not the solution then the search continues until it finds the smallest result to find a solution.
Designing an Expert System for Diagnosing Otitis Disease Using Forward Chaining and Certainty Factor Methods Muhammad Jufri
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.240

Abstract

The ear is the five senses and is the external organ that most often interacts with external objects, the most common disturbance in the ear organs is an infection in the ear called otitis, otitis is an inflammation that causes an infection in the ear. Otitis itself has many types such as external, media, internal, and others. with research using an Expert System, utilizing the Forward Chaining and Certainty Factor methods, it is hoped that it can help patients to be able to consult the system, as appropriate to consult an ENT-KL specialist, with an accuracy of up to 94%.
Development of Mobile-Based Illegal Cigarette Data Management Using Rapid Application Model Adam Bachtiar Maulachela; Jian Budiarto; Ahmad Ashril Rizal; Lalu Puji Indra Kharisma
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.234

Abstract

Indonesia is one of the highest cigarette-consuming countries in the world. Therefore, the government is trying to control this through various efforts. One of them is by increasing the excise rate on tobacco products yearly with an average increase of 10.92 percent per year. However, this effort has not been able to reduce the number of smokers in Indonesia, which has increased by 8.8 million in the last ten years. This raises the fact that there is an increase in the circulation of illegal cigarettes in Indonesia. Therefore, the central and local governments formed task forces to control illegal cigarettes. This study aims to assist the task force in managing data on the circulation of illegal cigarettes by creating a data management application. This application was developed by implementing the Rapid Application Development (RAD) method. This method consists of four main stages: requirements engineering, system design, development, and implementation. This research has produced an Android-based mobile application that can assist the task force in managing illegal cigarette data. Based on the test results, this application has been declared successful through quality and functionality tests, so it is ready for use by the task force
Analysis and Design of Anosmia Disease Diagnosis Expert System Using Forward Chaining and Certainty Factor Methods Deosa Putra Caniago; M. Abrar Masril
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.228

Abstract

The nose is an important organ for the body as the five human senses, disorders often occur in the nasal organs, one of which is anosmia disease, ansomia is a disorder that occurs in the nasal organs that can eliminate the sufferer's ability to feel smells, basically anosmia is common, but in the midst of a serious pandemic. With research on Expert Systems using the Forward Chaining and Certainty Factor methods so that users can consult the system like consulting an ENT-KL specialist doctor with an accuracy of 96%
Impact of the Use of Dikti Edu Tablets on Students’ Achievement in Computer Assisted Language Learning Class Tagor Manurung; Melda Agnes Manuhutu; Lulu Jola Uktolseja; Sherly Gaspersz; Abraham Manuhutu
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.241

Abstract

The purpose of this research is to determine the impact of using the Dikti Edu Tablet on student achievement in the Computer Assisted Language Learning Class. Through this research, of course, researchers can find out the relationship between the independent variable, namely the use of Dikti Edu tablets, and the dependent variable, namely achievement. The research method is a quantitative research model using a survey in the form of distributing questionnaires to 20 students of the English Education Program. After collecting data, the data were analyzed quantitatively through SPSS 22 and the statements in the study used a Likert scale of 1-4. Based on the research that has been done, it is found that there is an increase in the learning achievement of English Education students at Victory Sorong University. This is evidenced by the value of the relationship between Edu Dikti Tablets and Student Achievement in English Language Education is 56%, while achievement is 44% which may be influenced by other factors not examined in this study. With the Edu Dikti Tablet, students are able to learn independently, creatively and innovatively so that they become educators who are ready to compete in the community

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