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Journal of Intelligent Software Systems

JISS
Website

Published by Universitas Teknologi Digital Indonesia

ISSN : - EISSN : 29627702 DOI : https://doi.org/10.26798/jiss

Core Subject : Science,

Computer Science & IT

Journal of Intelligent Software Systems (JISS) is open access, peer-reviewed international journal that will consider any original scientific article that expands the field of Intelligent Software Systems. The journal publishes articles in all Intelligent Software Systems specialities of interest to Intelligent Software Systems, physicians, and researchers.

Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan

Articles 28 Documents

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The Prediction on the Students’ Graduation Timeliness Using Naive Bayes Classification and K-Nearest Neighbor Anwarudin Anwarudin; Widyastuti Andriyani; Bambang Purnomosidi DP; Dommy Kristomo
Journal of Intelligent Software Systems Vol 1, No 1 (2022): July
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

The college quality can be seen from the level of punctuality of student graduation. The Prediction on students’ graduation timelines can be used as one of the supporting decisions to evaluate students’ performance. Currently, the Medical Laboratory Technology study program of STIKES Guna Bangsa Yogyakarta does not have tools to predict the level of students’ graduation punctuality early yet. The purpose of this study is to evaluate the application of the Naive Bayes Classification and K-Nearest Neighbor algorithms with predictive modeling of student graduation period. This study applied the academic data from students of the Medical Laboratory Technology study program for the Academic Year (TA) 2015/2016 to 2018/2019. This study utilized an experimental approach by comparing the methods of the Naive Bayes Classification (NBC) and K-Nearest Neighbor (KNN) algorithms. The validation model uses 5-fold Cross Validation, while the evaluation model uses a Confusion Matrix. The results illustrated that the prediction with NBC in this case obtained an accuracy of 96.11%, precision of 82.11% and Recall of 100.00%. Meanwhile, predictions using KNN obtained accuracy of 97.68%, precision of 100.00% and Recall of 86.11%. Thus, KNN is an algorithm with an enhanced level of accuracy to solve the case of predicting the timeliness of students’ graduation of the Medical Laboratory Technology Study Program STIKES Guna Bangsa Yogyakarta

Query Execution Performance Analysis of Column-Oriented Database in Dashboard Bagas Triaji; Widyastuti Andriyani; Totok Suprawoto; Muhammad Agung Nugroho; Rikie Kartadie
Journal of Intelligent Software Systems Vol 1, No 2 (2022): Desember
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

In making reports or dashboards from operational data, problems often occur in the query process with low speed in responding to an output, causing the server to experience overload. This condition often occurs in companies or higher education organizations in managing academic data. This condition can be improved by optimizing the database server by integrating relational databases with column-oriented databases to speed up query responses and save development costs. Based on the experiments that had been carried out, column-oriented has succeeded in optimizing with a significant difference in query execution time and the server does not crash.

Building a Knowledge Graph on Video Transcript Text Data Bagas Triaji; Widyastuti Andriyani; Bambang Purnomosidi DP; Faizal Makhrus
Journal of Intelligent Software Systems Vol 1, No 1 (2022): July
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Youtube is a video platform which not only provides entertainment but also education in which knowledge can be dug based on video transcripts. The results of this knowledge can be formed as a knowledge graph to build a knowledge base that saves storage space. Moreover, it can be used for other purposes such as recommendation systems and search engines. Prosen built a knowledge graph using NLP to extract the text by identifying the subject-verb-object (SVO) and stored in the graph database. The construction of a knowledge graph on a Youtube video transcript was successfully carried out. However, there are still obstacles in the process of extracting text using NLP which is less optimal so it is possible that there is still a lot of knowledge that has failed to be obtained.

Comparison Analysis of Usability Using Controllers and Hand Tracking in Virtual Reality Gamelan (Sharon) Based On User Experience Ardhika Wida Pangestu; Clara Hetty Primasari; Thomas Adi Purnomo Sidhi; Yohanes Priadi Wibisono; Djoko Budiyanto Setyohadi
Journal of Intelligent Software Systems Vol 1, No 2 (2022): Desember
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Gamelan is one of the traditional musical instruments in Indonesia. Gamelan is also one of the cultures that must be preserved. To preserve gamelan, one way is by combining gamelan with technology that is currently developing. The technology that is currently trending is virtual reality. Virtual reality is often used for games in three-dimensional form. Gamelan can be something interesting in VR. In VR interactions, there are two interactions that are often used, namely controllers and hand tracking. Hand gestures are usually tracked using the built-in camera of the VR. Hand tracking can be used in VR applications to control the virtual object just like a controllers. This study aims to compare the use of controllers and hand tracking that involve interactions, namely collision, pressing, grabbing, and release. Thirty two Atma Jaya Yogyakarta University students who had tried virtual reality and played gamelan or had seen gamelan performances explore the differences between VR hand tracking and VR controllers in VR gamelan sharon. SUS (System Usability Scale) and USEQ (Use Questionnaire) were used to measure user usability and satisfaction. The result of the SUS score showed that users were more interested in using controllers than hand tracking. But the USEQ results showed that there were no difference in usefulness, ease of use, and satisfication. Based on the results of the interaction, using controllers looked more comfortable, but using hand tracking, playing gamelan looked more realistic.

Analysis of Determining the Types of Wireless BTS Devices Using the Dude Implementation and Telegram Notifications on Internet Services Provider XYZ Robertus Saptoto; Bambang Purnomosidi DP; Widyastuti Andriyani; Rikie Kartadie
Journal of Intelligent Software Systems Vol 1, No 1 (2022): July
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

ISP XYZ is a company engaged in the field of Internet Service Providers (ISP). Network monitoring is something that an ISP must have in monitoring network router traffic, wireless Base Transceiver Station (BTS) traffic and wireless client traffic. Connections between BTS backbone and BTS use wireless devices. Because currently the main network (backbone) inter BTS to BTS uses wireless devices, sometimes disturbances occur such as frequency interference and high data loads on BTS which lead data distribution to customers disrupted. The factors that affect this incident are the number of similar frequency number usage, the distance between BTS to BTS, the type of wireless device that can no longer carry large data loads as its main source. Telegram makes it possible to send and receive text messages over the internet. In addition, the function of telegram is usable. This research will be used to determine policies for updating wireless devices, especially on the BTS to BTS backbone. Chat, video calls, shared photos and files, telegram supports bots. This bot will later be used to mechanize notifications from the dude application to telegram messages, which of course are connected to the internet. You can provide reports on the use of data traffic, wireless device data resources that are currently implemented.

Data Warehouse to Support the Decision Using Vikor Method Heri Muhrial; Bambang Purnomosidi.D.P; Widyastuti Andriyani; Hamdani Hamdani
Journal of Intelligent Software Systems Vol 1, No 2 (2022): Desember
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Data warehouse is a place where data compilations are stored extensively and periodically. The ability of the data warehouse to integrate data lightens CV. Visi Indonesia Mandiri companies in evaluating and making decisions on operational, strategic and tactical processes. The problem is that the company has not provided a data warehouse yet. Moreover, there is no service to give out the needs of easy, consistent, valid and accurate information on operational data, tactical data and strategic data from the decision-making process at the executive level. The data warehouse architecture was established as decision making using the Vikor method analysis.

Price Intelligence Using K-Means Clustering and Linear Regression, Case Study of Store Dk Nutritionindo at Tokopedia Arma Fauzi; Bambang Purnomosidi DP; Faizal Makhrus; widyastuti Andriyani
Journal of Intelligent Software Systems Vol 1, No 1 (2022): July
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

The ability to find the right price recommendation will determine the fate of product sales in the market. This is necessary to prevent whey concentrate products from being sold in the market and to avoid customers fleeing or switching to other competitors. This study uses a price intelligence approach using the k-means clustering method for price grouping based on the closest competitor and demand forecasting using linear regression to determine fair and competitive prices. The results of the k-means clustering price of 145000 from dk nutritionindo are included in C4. The closest competitor has 7 prices cheaper and 5 prices more expensive. The highest price is 495000 and the lowest price is 90000. The results of the 26th month to 33rd month demand forecasting have 2 graphs up and 6 graphs down. Forecasting confusion matrix test produces 62.5% accuracy, 75% precision, 60% recall. With MAPE = 28.95% according to Lewis (1982) then the influence of forecasting is declared feasible (good enough). Because the trend chart illustrates a decline, it is recommended that the shop lowers the price with a recommended price range from 135000 to 90000.

Application of Photo-Realism in Making Gamelan Kenong 3D Objects in Gamelan VR Stevanus Tetuko Kristianto; Clara Hetty Primasari; Thomas Adi Purnomo Sidhi; Yohanes Priadi Wibisono; Djoko Budiyanto Setyohadi
Journal of Intelligent Software Systems Vol 1, No 2 (2022): Desember
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

In creating a simulated world, it is very necessary that the environment, objects, and experiences be similar to the original conditions in the real world. Simulation can be carried out using virtual reality technology, in which environments and objects can be created as desired. The creation of these three-dimensional objects can be achieved by taking into account the 10 principles of photorealism to get realistic objects like those in the real world. In this research, objects from the Kenong gamelan will be created using the principles or characteristics of photorealism. In this study, an assessment of three-dimensional objects was made by distributing questionnaires in which the selected respondents gave a value of 1–5 for each photorealism characteristic of each object. From the results of the assessment carried out, it was found that the 3D objects that were previously made received a value above the average, which means that they meet the characteristics of photorealism. Data was also obtained indicating that realistic 3D objects are required in a simulation in order for the simulation to be felt more strongly or for the user to feel the feeling as closely as possible when playing gamelan. From the results that have been obtained, it is recommended to follow the principle of photorealism when creating 3D objects for simulation needs.

Determining the Target of Independent Graduation for Beneficiary Families of the Hopeful Family Program Andre Argisitawan; Widyastuti Andriyani; Bambang Purnomosidi DP; Dommy Kristomo
Journal of Intelligent Software Systems Vol 1, No 1 (2022): July
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

The Family Hope Program (Program Keluarga Harapan) or better known as PKH is the conditional social assistance to the Poor Families which are designated as PKH Beneficiary Families. Self-Graduation is one of the goals of the PKH program, Self-Graduation is a condition in which the PKH Beneficiary Families is declared ‘passed’ from PKH participation with their respective awareness. This recommendation system uses the Simple Additive Weighting (SAW) method to calculate the criteria for several website-based alternatives with the Model View Controller concept.

User Interface Evaluation in Metvaerse Gamelan Virtual Reality Using Heuristics Evaluation Method Eric Jonathan; Clara Hetty Primasari; Thomas Adi Purnomo Sidhi; Yohanes Priadi Wibisono; Djoko Budiyanto Setyohadi; Mutiara Cininta
Journal of Intelligent Software Systems Vol 1, No 2 (2022): Desember
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

The increase in information technology in today's era makes the availability of Augmented Reality or Virtual Reality enabled devices, which can become a gateway to exploring various applications, increase. For the example is the virtual reality application of Gamelan Slenthem, which is currently being developed with the aim of making Indonesian cultural musical instruments. Even though what is developed is not an application or an ordinary website, the user interface is still one of the most important stages in the development of an augmented reality or virtual reality application. Every information technology has an interface that can be a link between the user and the technology itself. The interface is influenced by needs, and information technology has a design that makes it easy for users to operate information technology and can make users feel comfortable using the application or technology. In this study, we will use heuristic evaluation to evaluate the application of the virtual reality gamelan metaverse game. Heuristic evaluation itself is a method of evaluating user interfaces and usability that can be used to determine the extent to which a system is used by users to achieve certain goals effectively, efficiently, and satisfactorily. This research focuses on evaluating the use of heuristics in user interface design based on usability aspects through observation and interviews with users.

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Rikie Kartadie

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Universitas Teknologi Digital Indonesia (d.h STMIK AKAKOM) Jl. Raya Janti Jl. Majapahit No.143, Jaranan, Banguntapan, Kec. Banguntapan, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55918

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

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Abstract

Abstract

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Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Rikie Kartadie

Contact Email ojs@akakom.ac.id

Phone +6282135469911

Journal Mail Official ojs@akakom.ac.id

Editorial Address Universitas Teknologi Digital Indonesia (d.h STMIK AKAKOM) Jl. Raya Janti Jl. Majapahit No.143, Jaranan, Banguntapan, Kec. Banguntapan, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55918

Location Kab. bantul, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Rikie Kartadie

Contact Email
ojs@akakom.ac.id

Phone
+6282135469911

Journal Mail Official
ojs@akakom.ac.id

Editorial Address
Universitas Teknologi Digital Indonesia (d.h STMIK AKAKOM) Jl. Raya Janti Jl. Majapahit No.143, Jaranan, Banguntapan, Kec. Banguntapan, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55918

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA