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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 394 Documents
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Artificial Intelligence (AI) & Ethics Profiling (Akeru, Bunka, Syuu kan, Sai seisan) Gamayanto, Indra; Wibowo, Sasono
IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i3.317

Abstract

AI faces many challenges in the future. Some people still say that AI is a threat to the future, but on the other hand, AI is a technology that will help many people live their lives. In this concept research, we will explain what we think about AI and what ethics should be involved in using AI. It will require a lot of analysis to produce a concept of AI ethics, which is not easy. Our focus will provide perspectives from the social, psychological, and cultural sides and what things might affect human life by quickly developing AI. The final result of this concept is a framework for the ethics of AI profiling, where this may be used as a guide or opinion that can be considered when we use AI in our daily lives. AI is something that must be supported, and its application must receive special attention so that it can help humans in solving various life problems.
Prediction of Student Graduation using the K-Nearest Neighbors Method Wati, Embun Fajar; Perangin-Angin, Elvi Sunita; Sari, Anggi Puspita
IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i3.318

Abstract

Predictions on the accuracy of student graduation are designed to support study programs in guiding students so that they can graduate on time. The number of student graduations will influence the university's accreditation score. Graduation predictions can provide very useful information in decision-making; therefore, research was conducted on student graduation data. This data will be processed using the K-Nearest Neighbor method. The dataset used consisted of 150 students majoring in informatics engineering. The variables included gender, age, marital status, grade, and job status. The research methodology used in this study consists of 6 stages: Data Collection, Data Selection, Preprocessing, Transformation, Testing, and Evaluation. In the preprocessing or cleaning stage, the data can be fully utilized because all fields have been filled in correctly. Meanwhile, in the transformation stage, the data is categorized as follows: age (young: 19-24, old: 25-50) and grade (large: 3-4, small: 1-2.9). The K-Nearest Neighbor (KNN) method can predict student graduation rates. The KNN method, processed with the RapidMiner 9.9 tool, obtained an average accuracy of 100%. Based on the results of 100% accuracy and an AUC value of 1, it can be concluded that the KNN method is highly accurate in classifying graduation data for the 150 students.
Use of The Merdeka Teaching Platform Application In The Implementation of the Independent Curriculum Alawiah, Enok Tuti; Setyorin, Dini
IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i3.312

Abstract

Independent Teaching Platform is an application launched by the Ministry of Education, Culture, Research and Technology aimed at teachers in the framework of adaptation to the independent curriculum. This application must be used by teachers to share information, good practices, aspiration videos and learning resources. The Merdeka Mengajar Platform is an application launched by the Ministry of Education, Culture, Research and Technology aimed at teachers in the framework of adaptation to the independent curriculum. This application must be used by teachers to share information, good practices, aspiration videos and learning resources. However, the Merdeka Mengajar Platform has not been fully accepted by teachers because not all teachers have the ability to access information technology, inadequate infrastructure, difficulty accessing and lack of motivation in learning the new paradigm so that they enter into using the old paradigm in the learning process in class. This study uses the TOPSIS method, which is a multi-criteria method used to find the most ideal preference value in the decision-making process. The results of the study obtained a score of 8.35 for the Readiness of the Education Unit, which means that the use of the Merdeka Mengajar Platform in its implementation requires the readiness of the Education unit which consists of the Principal, Learning Committee and Teachers
Design and Build a Website-Based Word Template Automation System Using the Prototype Method Haliza, Sitti Nur; Ainnur, Abdull; Effendi, Ilham Julian
IJISTECH (International Journal of Information System and Technology) Vol 7, No 5 (2024): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i5.333

Abstract

In administrative and banking environments, the use of Word templates that must be adapted to specific data before use is often necessary. The manual process of replacing data in these templates requires significant time and effort. Therefore, this research aims to design and implement an automation system that allows for the automatic replacement of data in Word templates. The method used in this research is the prototype method, enabling developers to create system prototypes that can be tested by users before further development is carried out. In the design stage, frequently used Word templates in business and administrative environments are identified and categorized. An efficient and accurate data replacement algorithm is then designed and implemented using a suitable programming language. The resulting automation system is designed in the form of a website, allowing users to input data to be filled into the template. Users can also preview the input data before downloading the customized Word file. The results of this research are expected to reduce the time and effort required to replace data in Word templates manually. The implemented automation system in the form of a website provides flexibility and ease of use for users who want to replace data in their Word templates. The prototype method allows for iteration and adjustment of the system based on user feedback, thereby increasing satisfaction and effectiveness in system use.
Development of a Book Lending Information System Using the Rapid Application Development Model Hidayati, Nur
IJISTECH (International Journal of Information System and Technology) Vol 8, No 1 (2024): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i1.350

Abstract

The library is an important part that must exist in the school. With a library, it is of course hoped that it can foster students' interest in reading and enrich students' knowledge. Even in this era, all types of information can be obtained anywhere and at any time with the increasingly rapid development of information technology. However, there are still many students who cannot enjoy the ease of getting this information. And there are still many schools that do not have libraries. Even if there is, the library is still very conventional. Where library data processing starts from processing book data, data on borrowing and returning books is done manually. This can cause problems in the library, such as notes written using handwriting, which can cause errors in reading if the writing is not clear. Besides that, documents in the form of cards or paper are often damaged and searching for data takes a long time. If this happens continuously it will certainly have negative impacts in the future. Therefore, schools with such conditions require the development of a library information system, especially for borrowing books. In carrying out system development, it is necessary to determine the right model to help carry out the development and so that the objectives of system development can be achieved. One of these models is the Rapid Application Development (RAD) model. In the RAD model we can clearly understand the steps that must be taken in developing a book lending information system, so it is hoped that a Book Lending Application can be produced so that it can help manage book lending information system data.
Implementation of the Lean User Experience Method in Home Care Registration Information System Application Yakes Telkom Regional West Java Sofalina, Fresa Dwi Juniar; Rusdiana, Yudi
IJISTECH (International Journal of Information System and Technology) Vol 7, No 4 (2023): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i4.328

Abstract

The Lean method is used to determine the UI UX of a website-based Home Care service registration application. This method can help writers to make applications that are effective and in accordance with the psychological and geographic conditions of the user. Based on the results of the design using the lean method, the appearance of the Home Care service registration application is designed as simple as possible and does not make it difficult for users to operate it. This reason is due to the age of application users who incidentally are officers in the range of 30 years to 55 years.
Job Portal Prototype Using Design Thinking Method: A Case Study at Djuanda University Jabbar, Ma’shum Abdul; Encep, Muhammad; Novrian, Risfan; Fachrani, Jihan
IJISTECH (International Journal of Information System and Technology) Vol 8, No 1 (2024): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i1.344

Abstract

The importance of higher education in cultivating skilled human capital in the current global landscape cannot be overstated. The University of Djuanda is committed to closing the gap between job seekers and employers through the implementation of innovative initiatives that acknowledge the dynamic nature of career opportunities. This study focuses on the development of a Job Portal utilizing Design Thinking as a transformative method. The University of Djuanda employs Design Thinking, a renowned methodology recognized for its cognitive, innovative, and pragmatic problem-solving approaches, to gain a thorough comprehension of the needs, challenges, and preferences of its student body. The primary objective is to create a Job Portal that is relevant and satisfying, so enhancing user satisfaction and fostering long-lasting relationships, while also addressing the limitations of traditional recruitment methods. The core aspect of this approach revolves around the implementation of Design Thinking, which improves the effectiveness of problem-solving endeavors. The objective of the research is to create a Job Portal that efficiently caters to the needs of job seekers and employers by demonstrating empathy towards them. The website aims to consistently improve its features and functionalities through iterative methods of generating ideas, creating prototypes, and conducting tests. This is done to fulfil the requirements of all stakeholders involved in the recruitment process. To evaluate the user experience, a User Experience Questionnaire (UEQ) was administered to a sample of 20 participants, comprising 10 job seekers and 10 recruiters. The visualization employs a questionnaire consisting of six Likert-scale items, which encompassed a range from "Strongly Disagree" to "Strongly Agree." The results indicate a significant level of user satisfaction, affirming the effectiveness of the Design Thinking method in developing a Job Portal tailored to the diverse needs of job seekers and recruiters
A Bibliometric Analysis of the Internet of Everything in Business in 2012 - 2022 Fitriastuti, Lucia Ika; Vemberi, Yohannes
IJISTECH (International Journal of Information System and Technology) Vol 7, No 4 (2023): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i4.323

Abstract

The Internet of Everything (IOE) plays a vital role in the business field in the current era of digitalization. The Internet of Everything (IOE) is a combination of 4 main elements, namely people, processes, data, and objects, that make network connections more valuable. In this article, researchers present an analysis of various studies related to the Internet of Everything (IoE) in Business over the last ten years. Bibliometric analysis was used to analyze 280 articles published from 2012 to 2022. Articles will be analyzed based on the trend of the topic raised, the type of document, the name of the journal, the source of the document, the name of the publisher and even the presentation of the authors' collaboration related to IoE. The data analysis method used is bibliometric analysis. The data is imported from the Scopus database and uses Harzing's Publish or Perish applications. Meanwhile, to get data visualization, this study uses the VoS Viewer application. This study found that most articles related to the topic of IoE in Business are published more in conference proceedings than in journals, books, or book series. The most significant number of citations were articles in 2014. The highest number of publications occurred in 2021. The results of network visualization show that articles related to the Internet of Things (IoT) are the main terms or topics that are widely found related to IoE. Other related terms are Internet, Cloud Computing, Big Data, Network Security, and Social Networking (online). Implications for businesspeople can maximize the use of IoE in their business to the maximum in the current digitalization era in order to increase their business's competitive advantage. This research also shows further researchers that there are still many research opportunities related to IoE, which can be related to IoT, big data, cloud computing, and other update issues.
Lobster Sales Prediction Using Adaptive Neuro Fuzzy Inference System (ANFIS) In Simeulue District Sandira, Sri Delwis; Kurniawan, Rakhmat; Hasibuan, Muhammad Siddik
IJISTECH (International Journal of Information System and Technology) Vol 7, No 6 (2024): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i6.339

Abstract

The rapid progress of technology and information is making the challenges of the past become a tantalizing reality of the fourth industrial revolution. Rapid technological progress is marked by major developments in all aspects of life, such as economics, education, health, social and cultural. In the economic world, increasingly sophisticated technological developments will help the work of business actors and force them to innovate and be creative in improving the quality, capacity and products produced. With the vast lobster market, lobster demand experiences a sharp increase every year along with an increase in prices which will provide profits for fishermen in Simeulue. Therefore, predictions of lobster sales are quite important for fishermen in Semeulue to predict lobster sales that will be marketed abroad and domestically the following day, so that fishermen can estimate the lobster seeds or lobster catch needed optimally. In the prediction process The sales data obtained is in the form of a sales history report from 2017 to 2022, then the data obtained will be calculated using the adaptive neuro fuzzy inference system (ANFIS) to then obtain sales prediction results for the following year. And using MAPE calculations with the results of lobster sales training data calculations, the accuracy yields above 99% with a value of 0.0000168031. Therefore, this research will discuss predictions of lobster sales using the adaptive neuro fuzzy inference system (ANFIS) in Simeulue Regency.
Application of The K-Means Clustering Algorithm to Identify Strawberry Fruit Ripe Rizki, Muhammad; Furqan, Mhd; Sriani, S
IJISTECH (International Journal of Information System and Technology) Vol 8, No 2 (2024): The August edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i2.356

Abstract

Fruit ripeness will usually be determined by several parameters, including size, weight, color characteristics, fragrance, etc. The parameter of fruit ripeness in terms of fruit skin color is one of the important factors in identifying fruit maturity. Segmentation is a method in digital image processing to differentiate objects in an input image. The general classification process is carried out by looking directly at the fruit object. The purpose of this research is to create an analysis in identifying the ripeness of strawberry fruit and designing an application system that can identify the ripeness of strawberry fruit. This application was built with the MATLAB application. The methods used include K-Means Clustering segmentation, labeling and feature extraction. The detection of the type of fruit is carried out using feature matching at the level of shape and color. Before classifying the name of the type of fruit and the level of maturity, the fruit training must be carried out first and then continued with fruit detection and identification of maturity. Based on the results of the strawberry image maturity identification test with six test strawberry images consisting of three types of maturity levels, the results were obtained, namely mature test one and mature test two levels of ripeness and correct identification results, half ripe test one and half ripe test two levels of ripeness and results Correct understanding, raw test one and raw test two mature levels and correct recognition. Meanwhile, the accuracy test results obtained an accuracy value of 100% for identifying the maturity of strawberry images. From the results of the tests carried out, it can be concluded that identification of ripeness in strawberry fruit images was successfully applied using the K-Means Clustering method on images of ripe, half-ripe and unripe strawberries. And from testing the identification of ripeness of strawberry fruit with test data of six images and training data of twelve images, it gave an accuracy result of 100%.

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