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JAIA - Journal of Artificial Intelligence and Applications

JAIA
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Published by Sekolah Tinggi Manajemen Informatika dan Komputer Amik Riau

ISSN : - EISSN : 27467821 DOI : -

Core Subject : Science,

Computer Science & IT

This journal publishes research results in the form of research articles, literature studies and articles in the form of concepts and policies in the field of computers in general: Machine Learning and Deep Learrning Clustering and Classification Prediction Document Mining and Text Mining Sentiment Analysis Spatial Data Mining Multi-Agent Systems Biologically Inspired Intelligence Intelligent control systems Complex Systems and Applications Computational Intelligence Soft Computing Image and Speech Signal Processing Computer Vision Pattern Recognition Numerical Computational Knowledge Based Systems and Knowledge Networks Knowledge discovery and Database Machine Learning Neural Networks and Applications Optimization and Decision Making Rough sets and Granular Computing Self-Organizing Systems Fuzzy Logic Decision Support and Expert System Business Intelligence Intelligence System Hybrid Algorithm Social Intelligence Social Media Analytic Stochastic Systems Support Vector Statistic and Matematic Modeling Web and mobile Intelligence

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

Articles 21 Documents

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Design for Android-Based Virtual Tour Application Using Polygonal Modeling and Extrude Face Syarifah Eiva; Muhammad Iqbal
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 1 (2020): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

STMIK Amik Riau is the first Computer College in Riau under the Kopertis Region 10 which has an activity based on the information technology sector. This certainly requires the campus management to take advantage of technological developments in every academic activity. STMIK Amik Riau has quite a lot of facilities and infrastructure to support academic activities. However the problem is that the introduction to campus area system has not followed the current competition trend, because the campus introduction system used is still web-based and utilizes social media such as Facebook and Instagram. In order to improve the services of the campus, a virtual tour application that presents android-based campus area information is designed. This application is designed android based by using Polygonal Modeling and Extrude Face Polygonal modeling is an approach to modeling objects using points that determine the area of â€‹â€‹a surface so that it can create fields from three-dimensional (3D) models. With the application of Android-based technology, the resulting application is expected to be easily accessed because almost all levels of society nowadays have used a Android smart phones. This certainly facilitates the public and students in obtaining information about the shape of the building and the area around campus

SMART method utilization for meetinghouse elections in Pekanbaru City M. Khairul Anam; Purwanto; Agustin; Aniq Noviciatie Ulfah
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 1 (2020): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Choosing and looking for information about the meetinghouse in Kota Pekanbaru is a problem for people in need. A Distance of distant location and limited information obtained. This application is built based on Android using Simple Multi-Attribute Rating Technique (SMART) method, there are several criteria used are rental price, capacity, and facilities. The application is built using the JAVA programming language with Android Studio. This system design analysis uses the Unified Modeling Language (UML). The results that this application can help users to choose existing meetinghouses in Pekanbaru City using the SMART method. The search result is a list of meetinghouse names in which there are various information about the meetinghouse and the location to the meetinghouse. The test results of the built-in application can work well and can address the problems faced by the user in determining the multipurpose building elections.

Chatbot Designing Information Service for New Student Registration Based on AIML and Machine Learning Yansyah Wijaya; Rahmaddeni; Fransiskus Zoromi
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 1 (2020): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

One of the efforts made by universities to serve prospective students is by providing consulting services and information that is usually carried out directly at the booth provided, through phone service or live chat support available on the college website. Increased visitors will result in waiting times due to limited availability of officers, which results in decreased satisfaction of prospective new students, moreover this service is only available during campus operating hours. One alternative solution to overcome this problem is to use Chatbot, able to answer questions raised by prospective new students which can be categorized as Frequently Asked Questions abbreviated as FAQ. Chatbot technology can be developed with a variety of AI (Artificial Intelligence) techniques. One of them is the AIML (Artificial Intelligence Markup Language) technique. One of the main drawbacks of AIML is that there is no reasoning ability so a learning system that is focused on supervised learning is needed. In the chatbot that will be built the learning process uses a selective neural conversational model or commonly called the Deep Semantic Similarity Model (DSSM) developed by Microsoft. Meanwhile, the measurement of chatbot performance will be done using Confusion Matrix which is a method of evaluating the performance of the algorithm from Machine Learning (ML). The results of the study stated that the chatbot system that was built was able to answer questions posed by prospective students properly and correctly while the questions were available in the chatbot knowledge base.

Hotel Employee Acceptance Assessment System With Android-Based Moora Method Karpen Karpen; Widi Paramita; Triyani Arita Fitri; Koko Harianto
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 1 (2020): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Hotel is a company engaged in the field of services, which requires employees who have competencies in accordance with their fields. At present the existing employees are deemed to lack competency in accordance with their field of work. In order for employees to have competence according to their field of work, the hotel must carry out an acceptance assessment that requires certain criteria, such as education, foreign language acquisition, discipline, experience and others. One of the appropriate decision making methods for evaluating acceptance is the MOORA (Multi Objective Optimization on the basis of Ratio Analysis) method which is a multi-objective system that optimizes two or more conflicting criteria. The MOORA method has a degree of flexibility and ease of understanding in separating the subjective parts of an evaluation process into criteria, by determining the weights and attributes as decision making, the form of decision matrices and ranking. The criteria used in this study are height, experience, discipline, interviews, written tests, foreign languages, friendly, computer, software and medical checkups. To facilitate the assessment of acceptance, this system is applied based on Android, so that in addition to the hotel, prospective employees can also find out the results of the assessment. Based on the implementation of the system application, the use of the MOORA method for the hotel employee acceptance evaluation system can produce the right decision system, in accordance with the predetermined ranking, criteria and weight of the assessment

Data Mapping System Of Riau Province Fire Potential Using K-Means Clustering Method Rahmaddeni Deni; Andi Kurnianto
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 1 (2020): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

According to a report from the Riau Province BLHK states that hotspots in Riau Province are always present every year despite the number of hotspots that have been suppressed (http://dislhk.riau.go.id/). One of the causes is the frequent land clearing occurred as a trigger from a hotspot in Riau Province. There is a need for countermeasures as soon as possible to overcome the problem of hotspots that will cause forest fires. These problems need to be watched out quickly, one of which is to know in advance the hotspots that are likely to emerge based on existing data. Data mining processing is very suitable to be applied in order to produce relevant data to find out the possibility of hotspots. In this study the data grouping was done in the form of a visualization of hotspot mapping using the K-means Clustering method. The parameters used include 3 number of clusters (critical, alert, vigilant), 12 regencies / cities in Riau Province and 3 attributes (hotspots, number of fires, number of events). With the results of the visualization of the mapping using the K-means Clustering method, it is expected to be able to help the relevant parties, namely the Riau Provincial Forest Service in handling early the hotspots that are likely to emerge.

Smart Method To Determine Home Ownership Credit Financing Liquidity Facility For Housing Financing (KPR FLPP) For Low-Income Communities In Medan City (Case Study : Bank Syariah Indonesia) Dedi Leman
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 2 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Population growth in Indonesia is always increasing every year so that the number of residential needs also increases. Higher house installaments make people think twice before buying a house. The lack of information about subsidied housing makes people think that the prices of some houses are relatively expensive so people choose to contract which will certainly drain income. Subsidied housing is an untaxed plus house with low interest. On the research this time using a Decision Support System that is called the option-based housing support system, using the smart method, which is able to help people select subsidied housing to fit the need. The implementation of this method aims to facilitate the selection of subsidied housing based on calculations from the criteria used as locations, public facilities, access to locations, the quality of buildings and the credibility of developers. The results of this system provide solutions in the form of the best alternatives to be determined based upon the ranking of smart calculations.

Neural Network Method in Text Message Categorization of Online Discussion Erlin; Johan; Triyani Arita Fitri; Agustin; Hamdani
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 2 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

This paper presents research in neural network approach for text messages categorization of collaborative learning skill in an online discussion. Although a neural network is a popular method for text categorization in the research area of machine learning, unfortunately, the use of neural network in educational settings is rare. Usually, text categorization by neural network is employed to categorize news articles, emails, product reviews, and web pages. In an online discussion, text categorization that is used to classify the message sent by the student into a certain category is often manual, requiring skilled human specialists. However, human categorization is not an effective way for a number of reasons; time- consuming, labor-intensive, lack of consistency in a category, and costly. Therefore, this paper proposes a neural network approach to code the message automatically. Results show that neural networks achieving useful classification on eight categories of collaborative learning skills in an online discussion as measured based on precision, recall, and balanced F-measure.

Data Mining Prediction of Oil Palm Fruit Anisya
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 2 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

The development of information technology today is very meaningful for all circles. Currently, information technology has become a necessity in everyday life. The use of information technology is proven to facilitate human performance. Where the number of suppliers that supply palm oil fruit every year will affect the activities of companies engaged in palm oil production. So that currently the company needs a decision-making strategy in the procurement of oil palm fruit. Data mining is a technology that is very useful to help companies find very important information from data centers. Data mining predicts trends and characteristics of business behavior which are very useful to support important decision making. One of the techniques the writer uses is the Association Rule technique. Association Rule is a data mining technique to find association rules between item combinations. Using the Association Rule technique will help companies predict which suppliers will supply palm fruit in the following year. Meanwhile, to predict the load does not use the association rule method but uses existing data analysis.

Application Design for Complaints and Repairs to the Web Based Information Technology Department Ahmad Kholilun; Kiki Ameliza
JAIA - Journal of Artificial Intelligence and Applications Vol. 2 No. 1 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Inhil Sarimas Kelapa (PT. ISK) is a company engaged in the coconut processing industry, and the company is located in Sungai Gantang Village, Kempas District, Indragiri Hilir Regency, Riau. The company has 28 departments with various main tasks to support the company's activities in achieving the goals set. All departments use IT equipment such as software and hardware, so there is often damage to equipment that requires repairs from the IT department. Currently to make a complaint and repair problems at PT. Inhil Sarimas Kelapa still uses the manual system by filling out forms on paper, and the form is delivered to the IT department for processing. The complaint process is very ineffective and inefficient because it takes a long time. As a solution to these problems, a web-based complaint and repair complaint application is designed to make it easier for employees to do their jobs. Software that is used to create complaints applications includes Xampp, Notepad ++, Hypertext Processor and MySql. The results to be achieved are to facilitate and assist employees in reporting complaints and provide alternative solutions to the problems encountered.

Implementation of the User Centered Design method on the Mobile Web Yoyon Efendi; Rometdo Muzawi; Unang Rio; Adi Saputro; Muhamad Jamaris
JAIA - Journal of Artificial Intelligence and Applications Vol. 2 No. 1 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

The application of the User Centered Design (UCD) method is needed to improve the school website by redesigning it. The problems experienced by schools are usually in the form of a static website and an unattractive web appearance. This will be detrimental to the school, because the website is a door for information and school promotion. posting important news and announcements on the website in the hope that students and parents can obtain information more quickly and accurately. The UCD method starts from the plan, design, prototype and review. This step begins with interviews, field observations and distributing questionnaires to website users. Such as teachers, students, parents and the general public. The results provide a lot of input and optimize the appearance of mobile-based websites to attract more interest and better access by users. With the hope that students and parents can get information on news and important announcements more quickly and accurately on the website.

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Rometdo Muzawi

Contact Email
jaia@sar.ac.id

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jaia@sar.ac.id

Editorial Address
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Location
Kota pekanbaru,

Riau

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Rometdo Muzawi

Contact Email jaia@sar.ac.id

Phone -

Journal Mail Official jaia@sar.ac.id

Editorial Address jaia@sar.ac.id

Location Kota pekanbaru, Riau INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Rometdo Muzawi

Contact Email
jaia@sar.ac.id

Phone
-

Journal Mail Official
jaia@sar.ac.id

Editorial Address
jaia@sar.ac.id

Location
Kota pekanbaru,

Riau

INDONESIA