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IJISTECH
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : -     EISSN : 25807250     DOI : https://doi.org/10.30645/ijistech
Core Subject : Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences
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
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 394 Documents
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The Concepts of Gamification Profiling to Generate Smart City Maturity Level Mapping & Social Profiling (Smart Society) Gamayanto, Indra; Maulana, Herman Try; Sirait, Tamsir Hasudungan; Prasetyo, Lusi Noviani
IJISTECH (International Journal of Information System and Technology) Vol 7, No 2 (2023): 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.v7i2.304

Abstract

Gamification is an extraordinary phenomenon of how we can engage users to understand our Business. Users can get many interesting things from gamification offered by business owners, ranging from games, bonuses, discounts, and many other things that can make users or consumers more loyal and have a close relationship with the Business. This research is developing the concept of innovation profiling, which describes seven types of innovation. Here, gamification is one of the innovations we will discuss. This study divides gamification into three important parts, units that should not be separated. The first part concerns the big picture of gamification profiling and the Formula GMF = P. B2. E2. Ps2.F2. In the second stage, there are four types of gamification- open Gamification (OP), specific Gamification (SG), innovative Gamification (IG), and undeveloped Gamification (UG). The third stage, the final stage, is Business Gamification profiling (BG), Education gamification profiling (EG), Psychology gamification profiling (PG), and Future gamification profiling (FG). This research results in the gamification profiling framework and its application in education as the main case study in implementing this. Furthermore, Smart city and social profiling are two things that cannot separate from each other. Therefore, in building a smart city & social profiling, several important things must be considered, including investors, people, culture, supervision, customers, data, mapping, mentors, capabilities, commercials and leadership. This article will develop Business Model Mapping 101 (Smart City Maturity Level Mapping), an innovation in shaping and producing social profiling. Problems such as implementing smart cities in human resources, technology, and other factors are the main concerns. Therefore, Smart City Maturity Level Mapping is a social profiling development concept that focuses on building something from what the area already has. It is to increase the level of a more stable economy but remain flexible in dealing with certain situations. Furthermore, this article complements the previous article, namely smart city 5.0 (Human resource, Technology, marketing). These three things then developed into Smart City Maturity Level Mapping, which later became social profiling, which is useful for measuring smart cities' performance and implementation in a more structured, systematic and detailed manner in terms of profiles. The final result is the maturity level to measure a smart city's performance, which also connected to the defender, extender, dodger, contender.
Evaluation of The South Sumatra Samsat E-Dempo Application using the System Usability Scale Method Agustina, Merry; Aqdi, Syahanan
IJISTECH (International Journal of Information System and Technology) Vol 7, No 2 (2023): 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.v7i2.311

Abstract

E-Dempo Samsat South Sumatra is an online vehicle tax payment application from the South Sumatra Regional Revenue Agency (Bapenda). Through the E-Dempo Samsat application, users can make tax payments without having to make payments to the local Samsat, as well as in the application, users can check vehicle data and the total tax value, and can make complaints related to vehicle tax. This study aims to determine the usability level of the E-Dempo Samsat application at which level from the user's point of view. Using the system usability scale (SUS) method, this study provides evaluation results to ascertain the level of usability of the South Sumatra Samsat E-Dempo application. Data analysis with a usability scale system (SUS) was used as the research method, and questionnaires were distributed as part of the quantitative approach. The results of this study are in the form of a score of the method (SUS) of 39 which states that the quality of the level of use of the E-Dempo Samsat application is still low.
Improve Accuracy in The Process of Diagnosing Various Types of Lung Diseases by Using The Naïve Bayes Classifier Firmansyah, Moch
IJISTECH (International Journal of Information System and Technology) Vol 7, No 2 (2023): 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.v7i2.305

Abstract

In the humans’ body, there are several organs that function to support humans’ life, one of these organs is lungs, in its development, many things happen to these organs, for examples, infected by various diseases, including the lungs. There are many types of diseases that can infect the lungs including Asthma, Dyspnea, Tuberculosis, COPD, Pneumonia, Bronchitis, Hemoptysis, Hemoptoe, and these diseases can be diagnosed based on the symptoms, but unfortunately there are difficulties in the classification process, because it has similar symptoms experienced by people with the disease. The purpose of this study is to be able to classify lung disease based on symptoms experienced using the navies bayes classification method. This method doesn’t use much training data in determining the estimated parameters used in the classification process. This is what makes researchers use this method. This study used patient medical records as many as 200 patient data. Data collection is carried out from February to May. Data testing using rapid miner tools resulted in 90.22% accuracy for lung disease diagnosis.
UI/UX Design of a Production Information System at PT Belitang Panen Raya Using the Design Thinking Method Faizi, Nur; Purwaningtias, Fitri; oktarina, Tri
IJISTECH (International Journal of Information System and Technology) Vol 7, No 2 (2023): 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.v7i2.306

Abstract

The people of Asia, especially Indonesia, have a staple food, namely rice. Rice is a major and strategic food commodity whose availability needs to be guaranteed. To provide the best in inputting incoming and outgoing goods data as well as available goods data, Belitang Harvest Raya designed a new application product. In this study using the Design thinking approach. The Design thinking method is an innovation-based software product design method that is based on finding solutions to solve certain problems. After successfully finding and understanding the problems obtained through the process of Identify the problem, Describe Solution, Empathize to Users, Appeal to Business, Lock in Agreement (IDEAL) and Prototype and Test. So that the BPR application is able to solve problems that occur in a company at this time.
Application of Data Mining For Clustering Car Sales Using The K-Means Clustering Algorithm Hutasoit, Michael Nico; Fa’rifah, Riska Yanu; Andreswari, Rachmadita
IJISTECH (International Journal of Information System and Technology) Vol 7, No 2 (2023): 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.v7i2.307

Abstract

In the digital era, data is at the core of business continuity. The need for fast, precise and accurate information is needed. Cars are one of the tertiary needs. This means of transportation is a relatively fast development and innovation business. Car sales in Indonesia recorded a reasonably high number in 2014 - 2018, namely 4.157.580 units sold. The highest sales were MPV car types being the most popular type of car, and there are many types of cars in Indonesia, including Sedans, SUV, 7 Seater SUV, and City Car types, and the enthusiasts need to play more. Hence, it is exciting to study. The variety of car brands with competing prices makes it difficult for consumers to choose the right car to buy according to their needs. This can be solved by applying data mining to cluster car sales using the k-means clustering algorithm. The goal is to know the characteristics of the car from each attribute. The k-Means algorithm is used for cluster formation based on five attributes: CC, Tank Capacity, GVW (Kg), Seater, and Door. The elbow and silhouette score methods determine the optimal number of clusters (k). The result is 4 clusters, cluster 0 (High-Performance Heavy Car), cluster 1 (Small Family Car), cluster 2 (High-Performance Small Car), and cluster 3 (Medium Performance Car). The 4 Cluster results are based on the evaluation/validation of the Elbow Method and Silhouette.
Implementation Of Simple Linear Regression Algorithm In The Alumni Tracer Application Based on A Website at SMK Negeri 1 Sanaman Mantikei Languju, Indri Kristin; Yusuf, Mohamad
IJISTECH (International Journal of Information System and Technology) Vol 7, No 2 (2023): 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.v7i2.308

Abstract

SMK Negeri 1 Sanaman Mantikei is one of the state vocational schools which has been standing for a long time and is well-known in Central Kalimantan. Therefore, it has many students from various regions, both within Kalimantan Island and outside the island. Of course, an impact on the increased number of graduates annually. Who are in different positions and roles. The existence of this Alumni Tracer application based on a website can be a solution for the school's need to collect data on its Alumni. This Tracer Alumni application is planned by Apex App Builder of a website application, employing the Rapid Application Development (RAD) method and utilizing Linear Regression Algorithm. The results of this research can predict the number of Alumni who have a job, providing estimations based on data within a specific time frame. The accuracy testing, conducted through manual Excel calculations, resulted in 336, while the accuracy testing with RapidMiner yielded a similar value of 336. This indicates that both manual and machine learning can be considered consistent.
Utilization of Microcontroller Technology as A Food and Beverage Menu Ordering for Service at The Cafe Ashari, Mohammad Ibrahim; Artiyani, Anis
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.v7i3.314

Abstract

The cafe service system in this modern era still uses manual labor. This is less effective in terms of service speed and of course will increase operational costs due to the need for a large number of waiters. For this reason, an electronic food and beverage ordering device is needed. This is useful for speeding up the service process and also reducing service personnel, of course, also reducing operational costs. This research will present the use of the ESP 8266 module as a minimum system design for ordering menus on consumer tables. Input from the dining table containing the menu code and number of menus will be displayed on the LCD. Furthermore, data will be sent from ESP 8266 to the kitchen to mix food and drinks ordered by consumers. The data is also transferred to the cashier's PC, whereupon the cashier prints invoices for consumers. From the test results on the LCD can already display a menu of food and drinks. The cashier PC and kitchen PC have also displayed the food and drink data ordered. Cashiers can also print bills for consumers.
The Influence of Actual Usage in Using QRIS on Payment Methods Sefrika, S
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.v7i3.315

Abstract

Along with technological developments, one of the features used by many users is electronic money. QRIS as an electronic payment method is currently widely used by citizens to carry out payment transactions. However, more in-depth research needs to be done to find out the factors that influence the use of QRIS. This research aims to determine the background that underlies users in using the QRIS method. This research method uses the Technology Acceptance Model or TAM. TAM is a method that can be used to find out how technology is accepted by users with valid measurement results. The research results show that the majority of users use the QRIS payment method because of the perception of convenience, thereby generating interest among users
Geographic Information System For Infrastructure Damage Handling at Perumdam Tirta Anom Nurdin, Arif Muhamad
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.v7i3.316

Abstract

Perumdam Tirta Anom Banjar city has services to meet the needs of clean water and drinking water for the people of Banjar City. In meeting the needs of clean water Perumdam Tirta Anom has several water treatmen infrastructure, piping, reservoir, pipes and office buildings. Perumdam Tirta Anom Banjar City has the responsibility to handle infrastructure damage based on reports of damage from the community as well as on schedule of periodic maintenance of infrastructure. Monitoring of Perumdam Tirta Anom infrastructure is conducted based on monthly report and grouping of location is still in general in Banjar City area only, so that there are constraints in the accuracy of handling damage. Head of Distribution Section requires a system that can monitor all activities handling infrastructure damage, and assist Head of Sub Division of Planning in determining the main priority of handling infrastructure damage. The proposed solution based on the problems that have been described is building a geographic information system that handles damaged infrastructure of Perumdam Tirta Anom Banjar City. The software development analysis approach used is object-oriented analysis, and geographic information system is built on the website, and for the determination of the main priority of handling infrastructure damage using TOPSIS method.
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.

Page 31 of 40 | Total Record : 394

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