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International Journal of Artificial Intelligence Research
Published by STMIK Dharma Wacana
ISSN : -     EISSN : 25797298     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) majors areas of research that includes 1) Machine Learning and Soft Computing, 2) Data Mining & Big Data Analytics, 3) Computer Vision and Pattern Recognition, and 4) Automated reasoning. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : -
Articles 621 Documents
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The Effect Additives in Avtur for Increasing Electrical Conductivity with Statistical Quality Control Method Venriza, Oksil; Pratama, Doni Putra
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.339 KB) | DOI: 10.29099/ijair.v6i1.377

Abstract

The distributing processing Avtur to customers with a good quality according to standards. The parameter quality of avtur such as density, electrical conductivity, colour, and water content. One of them the electrical conductivity was investigated daily operation of distribution avtur if a demand avtur needed for flight operation, because that standard specifications of electrical conductivity Avtur must be good stability. The electrical conductivity value avtur less than standard operation cause static electrical to appear and became causes a fire. For this reason, a strategy is needed to increasing quality of Avtur by using the Statistical Quality Control (SQC) method. The result of analysis of level decline electrical conductivity to avtur using the SQC method has 6.6335 pS/m per day. Therefore, a strategy is needed to increase the electrical conductivity value, and optimalization for adding additive X. However, a facility to adding additives X has not implementation for receiving processing avtur, than suggestion to add additive injection facility. After implementation of additive injection facility, the value of electrical conductivity requires the addition of additives as become to 211.442 cc comparization before add additive is 103,595 cc.
The Influence of Environment, Workload, Financial and Non-Financial Compensation on Work Motivation at DPMPTSP Makassar Nurlina, Nurlina; Jumady, Edy
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.423

Abstract

This study examines the effect of the environment, workload, financial and non-financial compensation on employee motivation at DPMPTSP Makassar City. The research questions posed in this study are: does the work environment affect work motivation, whether workload affects work motivation, and whether compensation has an effect on employee motivation. This research was conducted at DPMPTSP Makassar City. There are 52 respondents who have been selected as samples using the saturated sampling technique. The method of data collection is by using a questionnaire. The data analysis technique in this research is multiple linear regression analysis. The study found that the hypothesis in this study has been significantly proven. The work environment has a positive and significant effect on work motivation, workload has a negative and insignificant effect on work motivation, and compensation has a positive and significant effect on employee motivation. The implication of this research is that the work environment and compensation have an equally important role in increasing employee motivation at DPMPTSP Makassar City
Legal Protection for Women Victims of Domestic Violence Due to Social-Media Derry Angling Kesuma
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.412

Abstract

The social media platform has assumed its role as a driver of innovation and revitalization. In addition to the role it plays in the transformation of information, social media also plays an important strategic role because it can serve as a means of communication between individuals and communities. However, the expansion of information and communication technology has also resulted in a negative impact, which can be seen in the rise of social media. The occurrence of domestic violence is one type of effect that has a negative effect (KDRT). The husband's jealousy if his wife uses social media against the opposite sex is one example of a form of domestic violence that social media can cause. Other examples include accessing social media accounts with the intent of stalking or spying on his wife, intimidating her, and other similar behaviors. Currently, the form of legal protection for women who commit acts of domestic violence is governed by the Criminal Code (KUHP), beginning with Article 351 and ending with Article 356; Article 6, Article 16 concerning protection; and Article 44 concerning criminal sanctions in Law No. 23 of 2004 regarding the Elimination of Domestic Violence. Law No. 23 of 2004 concerning the Elimination of Domestic Violence contains these provisions. The parameters for eliminating domestic violence are based on the law's adherence to four guiding principles: a) respect for human rights, b) gender justice and equality, c) non-discrimination, and d) victim protection. In the interim, these laws outline the forms of legal protection available to women who have been victims of domestic violence: (1) provision of temporary protection; (2) determination of the protection order by the court; (3) provision of a Special Service Room (RPK) at the police office; (4) provision of safe houses or alternative residences; and (5) provision of legal consultation by advocates for victims at the investigative level.
The Role of Digital Marketing and Product Quality on Consumer Buying Interest in Online Stores Kasmad, Kasmad
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.408

Abstract

The purpose of this study is to analyze the influence of Digital Marketing on consumer buying interest in the Online Store and analyze the effect of product quality on consumer buying interest in the Online Store. This research is an associative quantitative research which is used to determine the effect of digital marketing and product quality on consumer buying interest. The research chose an online store in Jakarta as the research location. Respondents as many as 280 online store consumers who were selected by accidental sampling or the sample was chosen by chance at the location and was considered suitable as a data source. The online questionnaire is distributed through social media and in the questionnaire there will be five score options for each statement that can be chosen according to the actual situation felt by the respondent. The data will be processed and used to test the hypotheses that have been proposed using structural equation modeling analysis with the SmartPLS 4.0 software data processing tool. The conclusions of this study are (1) digital marketing has a positive and partially significant effect on online store consumer buying interest, (2) product quality partially positive and significant effect on online store consumer buying interest, and (3) digital marketing and product quality simultaneous positive and significant effect on online store consumer buying interest
The Government's Role in Legal Protection of Bankrupt Creditors Simbolon, Timotius Tumbur; Widiarty, Wiwik Sri
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.383

Abstract

The government has issued several Laws and Regulations - Invitations to overcome the economic impact of Covid-19 due to the increasing number of bankruptcies and Suspension of Debt Payment Obligations (DPO-PKPU) in court. Therefore, the government issued a policy through Financial Services Authority (FSA-OJK) Regulation Number 48/POJK.03/2020 of 2020 concerning Amendments to FSA Regulation Number 11/POJK.3/2020 concerning National Economic Stimulus as a Countercyclical Policy Impact of the Spread of Corona Virus Disease 2019. However, previously the government had issued Law Number 37 of 2004 concerning Bankruptcy and PKPU as a form of legal protection for Bankruptcy, especially recently since Indonesia experienced the Covid-19 pandemic. In general, the economy has not been comprehensively resolved, so creditors and debtors, in solving their problems, prefer to carry out legal settlements through Bankruptcy and PKPU. In this study, there are several problems, namely, 1) What is the role of the government towards creditors under the Law on Bankruptcy and PKPU; 2) What forms of legal protection arrangements are provided for Bankruptcy? This research method uses normative or doctrinal juridical research, namely legal research that is based on or refers to the application of legal norms or norms contained in the Legislation - Invitation concerning the role of government in legal protection of Bankruptcy based on the Bankruptcy Act and PKPU.
Long-Short Term Memory Method for Blockchain Ethereum’s Market: The Establishment of ETH 2.0 Merger Firmansyah Yunialfi Alfian; Faurani Santi Singagerda; Riko Herwanto
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : International Journal of Artificial Intelligence Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.429

Abstract

Objective of research to identify the application of LSTM on Ethereum predictions based on blockchain data and information.  The study is an experimental study using the Long Short Term Memory (LSTM) method to predict blockchain information on the Ethereum market.  The method is a development of Recurrent Neural Network (RNN) and Artificial Neural Network (ANN), and required several precise parameters to produce accurate predictions.The study analyzed several parameters such as the number of neurons in the hidden layer and the most appropriate max epoch to use.  The results of the analysis show that using neurons 50 and max epoch 500 are able to predict ethereum prices using blockchain information well, seen from a very small error, namely MAPE of 1.69% with the highest price predictions occurring throughout the middle of 2021 as an effect of changes in the technology system, which is used which previously applied proof of work (mining) to proof of stake (validator) on the current ETH 2.0 technology, as a result there was a decrease in the supply of coins that was currently happening
THE TRIGGER FOR FALLING LOYALTY ORIGINATING FROM PUBLIC RELATIONS AND CUSTOMER VALUES AND SATISFACTION Bunga Aditi; Septa Diana Nabella; Arifin Djakasaputra; Dwi Septi Haryani; nasib nasib
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : International Journal of Artificial Intelligence Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.1.466

Abstract

Uncertainty requires every organization to continue to make improvements from all fields. The ability to respond quickly to existing changes is very expected. The main focus of this study is to analyze Public Relations and Customer Values on student satisfaction and student loyalty at the LP3M superior polytechnic. The population and sample in this study were active students in the academic year 2018-2019 totaling 117 students. Sampling techniques use nonprobability sampling using saturated samples. Data collection uses a Google From luminaire from sharing through the WhatsApp group. Where only 117 students were selected to be used as a population. However, those who responded to fill in this research questionnaire were only 98 respondents. Data analysis techniques use path analysis between the direct and indirect influence of the Public Relations and Customer Value variables on student loyalty through student satisfaction.The results showed that public relations had a significant effect on student satisfaction and student loyalty. Customer Value has a significant influence on satisfaction but has no significant influence on student loyalty. Then student satisfaction does not have a role in mediating between the Public Relations and Customer Values on student loyalty.
Improvement of the Sharia Economy Through Digitalization of the Economy in Indonesia Arif, Zainal
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.1.463

Abstract

The emergence of the Covid-19 pandemic has encouraged technological progress and digitalization so that later there was a change in people’s consumption patterns to become completely online. This has resulted in various financial sectors trying to integrate and adapt to advances in technology and digitalization, including sharia-based industry players. This research was carried out to see the developments and improvements that occurred in the Islamic Economy as a result of the emergence of economic digitization in Indonesia. This research will be carried out using a qualitative approach and data from various research results and previous studies still relevant to this research. The results of this study found that there was an increase in Islamic finance. This is because the emergence of the digitalization era makes it easy to do things, including conveying information. The players from the Islamic finance industry will be able to convey their information to the public more easily, and the majority of the Indonesian population is Muslim, thus causing the rapid development of the Islamic Economy in this era of economic digitization
Factors That Influence Impulse Buying Behavior in Live Streaming E-Commerce Mariam, Siti; Syahla, Tamara
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i2.440

Abstract

There is a problem that many prospective customers are not sure and are hesitant to buy products that are not seen directly (through e-commerce live streaming). The customers tend not to believe in the quality of the product to be purchased and doubt the authenticity of the product even though it has been explained by influencers. The purpose of this study is to determine the factors that influence impulse buying behaviour in live streaming e-commerce. This research is a quantitative research type. The population in this study was made up of men and women aged 17-50 years in the Greater Jakarta area of 101 people who were taken using purposive sampling. Data testing was carried out using validity testing methods, reliability testing, R-Square analysis and hypothesis testing using bootstrapping by looking at the path coefficients values. Based on the research results can be drawn the following conclusions: Influencers and product quality have a positive and significant effect on customer trust; Influencers and Product Quality have a positive and significant effect on Impulse Buying Behavior; Customer trust has a positive and significant influence on Impulse Buying Behavior. There are several suggestions for this research, namely influencers can increase knowledge about the products they sell, minimize product weaknesses, increase security when shopping for live streaming, in future research they can add variables that are thought to influence impulse buying behavior such as price promotions.
Implementation of Tensor Flow in Air Quality Monitoring Based on Artificial Intelligence Rahardja, Untung; Aini, Qurotul; Manongga, Danny; Sembiring, Irwan; Girinzio, Iqbal Desam
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.430

Abstract

Chemicals that cannot be controlled today can pollute resources and the environment. Common sources of pollutants are due to public transportation, cigarette smoke, volcanic activity that emits volcanic ash, factory smoke, forest fires, biogas, or carbon dioxide. The purpose of this paper is to monitor air quality, detect air and anticipate pollution levels. With the specified algorithms, three algorithms will be used to create a good and accurate model where four different gasses are predicted: carbon dioxide, sulfur dioxide, and nitrogen dioxide, in this paper, there are four algorithms used for the Air Qualification Index which are Support Vector Regression, Linear Regression, and Ensemble Gradient Boosted Decision Tree. This research also includes quantitative research which is hypothesized to be evaluated against Root Mean Squared Error, Mean Squared Error, and Mean Absolute error, depending on the performance of the measurements made by artificial intelligence, and the lower error value is selected. Based on the algorithm to be predicted in this air quality monitoring, there are 5 air pollutants like Carbon dioxide, Sulfur dioxide, and Nitrogen dioxide, and the sensors to be used are two sensors like PM2.5 and PM10 that can be predicted.

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