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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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Website Based (We-Retag) as Chemical Foam Quality Tests Record on Foam Tender Vehicles Andayani, Thursina -; Zuliano, Arief -; Rusmana, Ganda -; Wirawan, Yani Yudha
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1471

Abstract

This study aims to design a We-ReTag website (we enter record tag) which digitally able to record the outcomes of foam quality testing on foam tender vehicles more efficiently than logbooks or spreadsheets. In addition, this study also ensures that the website is designed to be easy to use (user-friendly) for inputting data on foam quality test results. A material expert and an IT expert who serves as a We-ReTag website validator are the study's subjects. The entire 36 (thirty-six) ARFF personnel at Sultan Mahmud Badaruddin II Airport Palembang are the subject of this website's design. This study used a waterfall model in conjunction with the research and development (R&D) approach. Starting with the requirements stage, this process moves on to desing, implementation, testing, and verification before coming to an end with maintenances. Thes result of study show that We-Retag website was highly appropriate for usage in ARFF unit of SMB II airport based on validation from IT and material specialist with average scale of 87%. In addition, the average scale obtained from the questionnaire filled out by ARFF personnel was 89 %. The benefit of this research is to increase the effectiveness in chemical foam quality test record and expected its usage can be disseminated to other airport throughout Indonesia in similar operational context.
Factors Influencing Sharia Property Purchase Decisions: Tasnim Property Case Study Setiawan, Budi Susilo; Asnawi, Yudha Heryawan; Hartono, Sri
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1415

Abstract

Study This aiming For analyze influence product, price,location, promotion, word of mouth, style life, technology and information to interest buy and decision purchase Sharia property at Tasnim Property, as well as role interest buy as intervening variable. Research done use approach quantitative with voluntary sampling technique. A total of 195 respondents who had do survey to Tasnim Property office fills online questionnaire. Data was analyzed using SEM-PLS version 4. Research results show that variable product, price, promotion,word of mouth, style life and technology influential significant to interest buy. However, the location and information No influential significant. Product, price,promotion, and word of mouth also have an influence. significant to decision purchase, while location, style life,technology and information no. Interest in buying own influence significant to decision purchase. In No direct,variable product, price, promotion, word of mouth, style life,and technology also influences decision purchase through interest buy. Implications managerial from study This that is the need for segmentation, targeting, and positioning (STP) strategies and optimization influential variables significant to decision purchase, namely products, prices, promotions, and word of mouth
Webcam Based Foreign Object Debris (FOD) Detection System to Support Airside Inspections with Image Processing Masyirianti, Jasmin; Hermala, Zusnita; Emiyani, Johny; Hariri, Ahmad
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1465

Abstract

Ensuring that airside areas are free of Foreign Object Debris (FOD) is a critical activity in aviation, as FOD poses a significant threat to aircraft operations during takeoff and landing. This study aims to enhance FOD detection at Sultan Mahmud Badaruddin II Airport in Palembang by developing an automated detection system that utilizes image processing technology in combination with the YOLO algorithm. Traditional FOD detection methods rely heavily on manual inspections, which are often hampered by blind spots, time constraints, and human error. The proposed webcam-based system significantly improves accuracy and speed in identifying foreign objects, thereby contributing to flight safety by effectively reducing the presence of FOD on runways. By facilitating real-time detection, this research seeks to enhance operational safety, minimize risks of aircraft damage, and reduce costly delays, while also alleviating the burden on personnel. Utilizing the Research and Development (R&D) method based on the Borg and Gall model, the study progresses through seven stages. The developed technology successfully detects four types of FOD with reasonable accuracy: bird carcasses up to 5 meters away, paper up to 3 meters, and both metal and aggregate up to 2 meters. Feedback gathered from surveys distributed to airport technicians reveals a very satisfactory response regarding the device's performance. Ultimately, this technology aims to minimize the risk of FOD-related accidents, ensuring optimal safety for passengers and aircraft alike.
Strengthening the Financial Performance of MSMEs in Lamongan: Exploring the Relationship Between Digitalization, Financial Literacy, Product Development, Branding Capability and HR Quality with Sales Turnover as a Mediator Muhtarom, Abid
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1442

Abstract

This research emphasizes the importance of internal factors in strengthening the financial performance of MSMEs and exploring potential mediation mechanisms through sales turnover.With a better understanding of this relationship, MSMEs in Lamongan Regency are expected to optimize their potential and adapt to the demands of the digital era.PLS SEM methodology.This research shows that factors such as digitalization, financial literacy, branding, and the quality of human resources have a significant impact on the financial performance and sales turnover of SMEs in Lamongan.However, some factors such as product development need more attention to improve their effectiveness.Sales turnover has also proven to be a significant mediator in the relationship between these factors and the financial performance of SMEs.The results of this study are expected to provide insights and practical recommendations for SMEs and other stakeholders to improve the financial performance of SMEs in Lamongan.
The Expert Validation of Virtual Reality-Based Learning Media of Flexible Manufacturing Systems (FMS) Hatmojo, Yuwono Indro; Azis, Satria Muhammad; Fauzan, Muhammad Nur
International Journal of Artificial Intelligence Research Vol 9, No 1 (2025): June
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1470

Abstract

The advancement of digital technology has had a significant impact on the world of education, including vocational education that requires in-depth technical understanding. In this study, Virtual Reality (VR)-based learning media is an alternative to help the process of introducing engineering components more interactively and realistically. This study aims to validate VR-based learning media called Virtual Reality Distributing Station as a learning media in learning distribution station components in the Flexible Manufacturing System (FMS). Validation is carried out through evaluation by experts with a focus on two main aspects, namely, the content aspect and the media display aspect. Material experts are experts who are experienced in teaching FMS, while media experts come from experts in the development of computer-based learning media. Data analysis is carried out based on quantitative and qualitative results obtained from expert validation. The evaluation results show that the content aspect of the material, which includes suitability and usefulness, scored 87 out of 96 (90.27%) and is categorized as "very good." Meanwhile, the media aspect, which includes display design and usefulness, scored 61.5 out of 72 (85%) and is also categorized as "very good". These findings indicate that the VR Distributing Station learning media is suitable for use as a supporting tool for engineering learning in vocational education.
Microcontroller for Temperature Condition Monitoring Systems on Transformers: Enabling Predictive Maintenance for Aviation Amalia, Direstu; Ristumanda, Siti Salbiah; Sunardi, Sunardi; Martadinata, M. Indra
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1459

Abstract

Airports heavily rely on stable electricity, with transformers as essential components for converting electrical voltage. High temperatures in transformers can cause degradation of the cooling oil, insulation damage, and a reduction in the transformer's lifespan that coul be degrade aviation safety standard. The incident on the transformer at SS2 Sultan Mahmud Badaruddin II Airport in Palembang due to overheating caused a significant impact on airport operations. This research aims to develop microcontroller technology to identify and predict potential issues in critical electrical components, particularly transformers, before failures occur and conduct the system testing. This effort is relevant to a safety strategy based on predictive maintenance to prevent accidents. This research using the fourth stage of the Maxim’s model of R&D method includes planning, development, and testing under conditions that resemble real-life situations. The research began by identifying needs through interviews and observations, which indicated the necessity of monitoring transformer temperature with early notifications and automatic exhaust fan control. The test results show that the system functions well in detecting temperature, activating the exhaust fan when the temperature reaches the threshold, and sending alarm notifications through the Blynk application. Suitability aspect testing indicate that the prototype received a positive response regarding functionality with an average score of 2.67, which falls into the valid feasibility category. It is expected to significantly contribute to developing microcontroller technology in safety, provide databased for predictive maintenance and offer practical solutions for improving the reliability and operational efficiency of electrical distribution systems at airports.
Omnichannel Customer Experience Model towards Customer Repurchase Intentions and Word of Mouth on Cellular Products Loyalty Teuku Dhani Al Ramdhani; Ratih Hurriyati; Heny Hendrayati; Mokh Adib Sultan
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1418

Abstract

Customer loyalty to mobile products in Indonesia is influenced by various factors, including download speed, upload internet speed, latency, streaming, and browsing. This study aims to analyze the effect of Omnichannel Customer Experience (OCX) on Cellular Product Loyalty (CPL) through the mediation role of Customer Repurchase Intentions (CRI) and Word of Mouth (WoM). This study uses an explanatory survey design involving 384 mobile product users throughout Indonesia, who were selected using proportional sampling techniques. Data analysis was carried out using descriptive and verification methods, using Structural Equation Modeling - Partial Least Square (SEM-PLS) to test the relationship between variables. The findings of the study indicate that OCX does not have a direct effect on CPL, but must go through the mediation of CRI and WoM. Between the two mediators, WoM has a stronger influence than CRI, indicating that a positive omnichannel experience encourages customers to recommend products, ultimately increasing customer loyalty. The novelty of this research lies in simultaneously testing the relationship between OCX, CRI, and WoM on CPL in the context of the cellular industry, as well as identifying the more dominant mediation pathways in increasing customer loyalty. The implications of this research provide insights for telecommunications companies to focus more on omnichannel strategies that can improve customer experience and encourage Word of Mouth, as well as for the government in designing policies that support the digital ecosystem for the cellular industry in Indonesia.
LSTM Model Using Adam’s Optimizer for Indonesian – Bugis Bidirectional Translation System Fajarwati, Erliana; Wibawa, Aji Prasetya; Hernandez, Leonel
International Journal of Artificial Intelligence Research Vol 9, No 1 (2025): June
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1272

Abstract

The purpose of this research is to develop a machine translation of Bugis to Indonesian and vice versa in order to preserve the Bugis language. This research utilizes a recent dataset consisting of 30,000 Bugis-Indonesian sentence pairs from the online Bible. This research conducts scraping to compile the corpus which is then followed by manual and automatic pre-processing. The method chosen is Neural Machine Translation (NMT) while for training and testing models Long Short-Term Memory (LSTM) is used. The performance of the model is evaluated by Bilingual Evaluation Understudy (BLEU) score to measure the translation accuracy at various epochs. In addition, this study also compared the use of Adam's optimizer with non-optimizer. The results showed that the use of Adam's optimizer significantly improved the performance of the model where at epoch 2000 the model achieved the highest BLEU score of 0.996261 indicating highly accurate translation quality. In contrast, the model without the optimizer showed lower performance. Other results also found that the translation from Bugis to Indonesian was more accurate than from Indonesian to Bugis. This is due to the more balanced word count difference in the Bugis to Indonesian translation, which makes it easier for the model to match words. In conclusion, the use of NMT with Adam optimizer effectively improves the accuracy of two-way translation from Bugis-Indonesian.
Identify the Usability of the Netraku Application System Using the Usability Testing Method Dewi, Alifa Permata; Sari, Amarria Dila; Iryani, Devina Inayah; Akhyari, Muhammad Wafa
International Journal of Artificial Intelligence Research Vol 8, No 2 (2024): December 2024
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1472

Abstract

The Netraku application is aimed at the visually impaired who want to know the name of an object or the writing of an object or printed media, as well as knowing the nominal currency conveyed via voice in the application. The application works by pointing the camera at the object or currency you want to see the name or amount of. The Netraku application will detect it, and a voice will appear stating the information you want to convey. The problem found is that the Netraku application has not carried out usability testing for blind users. Therefore, it is necessary to develop usability testing to obtain user needs from the Netraku application, determine the effectiveness and efficiency values, and provide recommendations that can be applied to the Netraku application. The methods used in usability testing are performance measurement, focus group discussion, and participatory design. The results obtained on the effectiveness value received a success rate of 83.33% and a failure rate of 16.7%, concluding that the user can complete the task effectively. The efficiency value obtained from the average processing time is 10.34 seconds.
Analysis of Pedestrian Facilities in Tambak Market Area, Cikande Banten Province Telly Rosdiyani; Bambang Hariyanto; Nurfadilah Nurfadilah
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1443

Abstract

Pedestrian lanes or sidewalks are a place for pedestrians to carry out activities to provide services to pedestrians to feel safe, comfortable and avoid the risk of motor traffic. This study aims to maintain the characteristics of pedestrian movement, find out the level of pedestrian services on Cikande Pond Road, find out efforts that can be made to improve pedestrian road services on Cikande Pond Road. The method used was based on the 1995 Highway guidelines and the distribution of questionnaires to obtain respondent preferences. Results are obtained. Flow on the right side is 8.33 pedestrians/m/min while on the left side is 5.20 pedestrians/m/min, pedestrian speed is 37.62 m/min, Average Space Speed (Vs) is 3.322 m/min, density on the right side is 2.508 pedestrians/m2 while on the left side is 1.565 pedestrians/m2,  space (Space) on the right side is 0.399 m2/ped while on the left side is 0.639 m2/ped, the pedestrian ratio on the right side is 0.111 while on the left side is 0.069, the service level (LOS) includes the "C" level. so that improvement efforts can be carried out, including the arrangement of street vendors, the repair of pedestrian paths that are potholes or obstructed by illegal parking and the painting of longitudinal lines in the direction of the sidewalk so that it is easier for pedestrians to travel on the road.

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