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Dahlan Abdullah
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International Journal of Engineering, Science and Information Technology
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27752674     DOI : -
Core Subject : Science, Education, Social, Engineering,
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation
The journal covers all aspects of applied engineering, applied Science and information technology, that is: Engineering: Energy Mechanical Engineering Computing and Artificial Intelligence Applied Biosciences and Bioengineering Environmental and Sustainable Science and Technology Quantum Science and Technology Applied Physics Earth Sciences and Geography Civil Engineering Electrical, Electronics and Communications Engineering Robotics and Automation Marine Engineering Aerospace Science and Engineering Architecture Chemical & Process Structural, Geological & Mining Engineering Industrial Mechanical & Materials Science: Bioscience & Biotechnology Chemistry Food Technology Applied Biosciences and Bioengineering Environmental Health Science Mathematics Statistics Applied Physics Biology Pharmaceutical Science Information Technology: Artificial Intelligence Computer Science Computer Network Data Mining Web Language Programming E-Learning & Multimedia Information System Internet & Mobile Computing Database Data Warehouse Big Data Machine Learning Operating System Algorithm Computer Architecture Computer Security Embedded system Coud Computing Internet of Thing Robotics Computer Hardware Information System Geographical Information System Virtual Reality, Augmented Reality Multimedia Computer Vision Computer Graphics Pattern & Speech Recognition Image processing ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT in education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 9 Documents
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Search results for , issue "Vol 4, No 2 (2024)" : 9 Documents clear
The Relation between Body Mass Index and Hypotension Incidence in Caesarean Section Patients with Spinal Anesthesia Procedure Valentia Josephine, Clara; Suparto, Suparto; Winata, Deadora
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.499

Abstract

One of the adverse consequences of spinal anesthesia is hypotension. Previous investigations regarding the correlation between post-spinal anesthetic hypotension and body mass index have yielded inconsistent results. This investigation predicted the Indonesian population using the body mass index computed according to the Asia-Pacific categorization. This investigation aimed to determine the correlation between body mass index and the frequency of hypotension following spinal anesthetic interventions for cesarean sections—quantitatively based on analytical observational research. 111 samples met the inclusion and exclusion criteria used in the study between May and August of 2022. An observation sheet is employed to obtain measurements of the patient's height, weight, and systolic blood pressure before and after spinal anesthesia. Type I obesity is associated with the greatest incidence of hypotension (25–30 kg/m2). Out of the 75 samples (67.6%) that were free of hypotension, 36 samples (32.4%) were affected by it. p-value of 0.322 for the Kruskal-Wallis test. In individuals who undergo spinal anesthetic treatments through cesarean sections, there is no significant correlation between body mass index and the frequency of hypotension. The results demonstrated that 36 samples (32.4%) experienced hypotension, while 75 samples (67.6%) did not. In individuals with a high body mass index and type I obesity (25–30 kg/m2), hypotension is most prevalent. There is no significant correlation between the frequency of hypotension following spinal anesthetic treatments and body mass index.
Web-Based Math Braille Translator Using Indonesian Braille Symbols Hendarno, Ari; Azzahra, Andira; Suryana, Muhammad Eka
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.506

Abstract

According to estimates from the Indonesian Ministry of Health in 2017, at least 3,750,000 people in Indonesia have visual impairments. This significant number highlights the need for special attention to their educational needs, especially in mathematics. Educational media is essential to facilitate learning for visually impaired students and educators, as they often struggle with understanding math due to limited access to visual content. One solution is to use Mathematical Braille symbols, yet technology that translates these symbols into mathematical text is still limited. To address this, the author has developed a web-based Math Braille Translator application aimed at assisting visually impaired individuals and educators. This website translates mathematical Braille into notation by inputting Braille using the keys s, d, f, j, k, and l on the keyboard. The application is developed using the waterfall methodology and is based on the Indonesian Mathematical Braille Symbol Reference NOMOR 056/U/2000.
Analysis of The Influence of Economic Stability, Economic Growth and Level of Human Resource Readiness on Income Equality Sukriyadi, Sukriyadi; Raraga, Filus; Br Ginting, Jenni Veronika; Ladjin, Nurjanna; Haribowo, Rio
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.482

Abstract

This research aims to determine the complex relationship between inequality and income levels, as well as between education and wage inequality. The analysis will employ a random sample from the population, gathered through surveys and observations. With a sample size of 100. Data analysis uses regression. These findings suggest that other factors may also play a role in determining inequality trends and the need for a more contextual approach in formulating effective economic policy. The analysis highlights the complexity of labor market dynamics in the relationship between education and wage inequality. The findings reveal that factor such as the population's educational structure, the quality of education, and unobservable factors, in addition to the level of education itself, influence the effect of education on wages. Overall, the results of the analysis show that education has a very important role in determining income distribution and economic equality. Increased education can reduce wage inequality between individuals with different levels of education, with several contributing factors including improvements in the quality of the workforce, greater opportunities for individuals to obtain qualifications that suit labor market needs, and changes in the way society and the labor market.
Compatibility Analysis of Metolachlor and Pendimethalin for Weed Control in Arabica Coffee Plants Julfikar, Julfikar; Jamidi, Jamidi; Baidhawi, Baidhawi
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.507

Abstract

Losses caused by the presence of weeds in an agricultural business are often associated with the ability of weeds as strong competitors for plants to obtain water, nutrients, sunlight, and growing space. A mixture of metolachlor and pendimethalin herbicides is expected to control important weeds of various classes in coffee plants. The purpose of the research was to determine the effect of two herbicide mixtures at different doses on weeds in coffee plantations. This research used a 4 X 4 factorial randomized block design with 2 repetitions, resulting in 32 experimental plots. The first factor was metolachlor herbicide and the second was pendimethalin herbicide, each factor consisting of 4 levels with 0.00, 0.75, 1.75 and 2.25 kg ha-1 doses. The observed parameters consisted of (1) dominance count value, (2) percentage of controlled weeds, (3) weed coverage, (4) weed population, and (5) weed dry weight. The results showed that there was a very significant effect on the combined interaction of metolachlor and pendimethalin herbicide mixtures on the percentage of controlled weeds, percentage of weed closure at 21 and 28 DAA, and weed dry weight at 28 and 42 DAA with the best dose combination at b.a. 1.50 kg ha-1 which could increase the efficiency of weed control. Meanwhile, the percentage of controlled weeds, percentage of weed cover at 14 DAA, and weed population at 28 and 42 DAA showed very significant results independently with a dose of b.a. 2.25 kg ha-1
Cosmetic Shop Sentiment Analysis on TikTok Shop Using the Support Vector Machine Method Rahmawati, Rahmawati; Fuadi, Wahyu; Afrillia, Yesy
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.498

Abstract

User reviews are crucial in today's digital world for determining a product's quality. Nevertheless, these remarks are frequently disorganized and erratic, which confuses people and makes it challenging for them to make wise purchases. The erratic character of these reviews breeds uncertainty and makes determining a product's actual value more difficult. To help consumers more effectively evaluate and select products on platforms such as TikTok Shop, this study uses sentiment analysis tools. It hopes to accomplish this by improving the overall shopping experience and empowering customers to make more confident and informed selections. This research aims to assist consumers in evaluating and selecting products on TikTok Shop, an online shopping platform, by employing sentiment analysis techniques that help consumers make more informed decisions. In this study, a total of 500 comments from TikTok Shop users were collected as data. 350 comments have been set aside for training and 150 comments were set aside for testing. Data was gathered employing scraping, an automated process that makes use of the Python library's Selenium module to retrieve data from the internet. We employed the Support Vector Machine approach, an efficient machine learning tool for text classification, to assess the comments. 121 comments were categorized as having positive sentiment and 29 as having negative sentiment based on the test results. The system successfully recommended the "Ourluxbeauty" cosmetics store as a shop with many positive sentiments, indicating a recommendation level of 0.7 on the positive sentiment scale. The system's accuracy was measured using a Confusion Matrix, resulting in an accuracy rate of 78% and an inaccuracy rate of 22%. This demonstrates that the system can accurately classify comment sentiments and has significant potential for application in e-commerce practices to enhance the online shopping experience.
Analysis of The Influence of Import Volumes, Dynamics of Import Varieties, and Pricing Policies on Country's Foreign Exchange Growth Reza Aulia, Muhammad; Kamar, Karnawi; Diah Astuti, Enny; Henri Kusnadi, Iwan; Parida, Parida
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.483

Abstract

The objective of this research is to examine the factors that led to the cessation of imports of certain varieties after the crisis. This analysis proposes four alternative working hypotheses. Data from 100 products was taken. Several influencing factors reveal the impact of the economic crisis on imported varieties. More expensive varieties tend to experience an increased probability of stopping importation. This may be due to a decrease in purchasing power during the crisis, which makes expensive products less desirable. Geographic distance also plays an important role. More distant countries produce varieties with a higher probability of stopping imports, this could be due to higher transportation costs for varieties from distant countries. Varieties with a larger market share originating from countries with higher incomes tend to be more stable in the market during the crisis. Likewise, additional per capita income limits the probability of stopping imports to only 3.7%. This suggests that varieties from countries with high incomes or those with large market shares may have competitive advantages that make them more resilient to the impact of economic crises. Reducing imported varieties can hurt consumer welfare because it can reduce product choices and increase prices. Short-term estimates indicate a 9.5% decline in consumer welfare from imported goods.
Android-Based Drug Information Application Using Augmented Reality Technology Khalis, Muhammad; Abdullah, Dahlan; Ardian, Zalfie; Berkah Nadi, Muhammad Abi; Nadia Karunia, Meutia; Hasibuan, Abdurrozzaq
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.504

Abstract

The use of Augmented Reality technology in the pharmaceutical sector, particularly in pharmacies, has introduced significant innovations in providing drug information to consumers. AR applications can help healthcare workers and patients better understand drug use through three-dimensional visualization superimposed on the real environment. Observations at Sultan Abdul Aziz Syah Peureulak Hospital indicate that 70% of patients still experience confusion regarding the drug information provided by pharmacy staff. This difficulty is caused by the complexity of the information, lack of personal interaction, or low health literacy. To address this problem, the Android-based Mediscan application was developed using AR technology. This application utilizes Unity and Vuforia Engine software to present drug information visually in card form via the smart device screen. Users can point the camera at a particular drug and receive complete information regarding general indications, dosage, drug class, contraindications, and side effects. This research aims to develop the Mediscan application, calculate the level of patient understanding, measure consumer satisfaction, and evaluate the impact of using AR in presenting drug information. The System Development Life Cycle methodology with the Waterfall model was used in this research. The results show that AR technology can be implemented in Android-based applications to present drug information visually and interactively. The majority of patients feel more informed and gain a better understanding of the medication they are taking. AR technology in the Mediscan application improves user experience, supports the education and training of medical personnel and patients, and enhances the quality of healthcare services in hospitals. This application also makes it easier for medical personnel and pharmacists to convey drug information more effectively and efficiently.
Analysis of The Influence of Training and Capacity Development Programs on Improving Service Quality and Performance of Medical Personnel in Handling Patients Yunus, Andri; Wilanda, Alifah; Hari Haji, Wachyu; Alatas, Abd. Rahman; Dharmawan, Donny
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.484

Abstract

This work aims to address students' subjective perceptions of needs and problems in dealing with patient aggression. This research uses a cross-sectional study approach with a pretest-posttest design. Data was collected through interviews. From the results of the analysis, it was found that training in dealing with aggressive patients had a significant impact on improving the skills and self-confidence of nursing students. This training not only provides benefits on an individual level but can also improve overall results in the work environment. Integration of de-escalation topics into future training will be critical to increasing individual preparedness for situations that may occur in the workplace. Through a holistic and sustainable approach to developing education and training curricula in the health and nursing fields, students can be better prepared and confident in dealing with aggressive situations in nursing practice in the future.
Work Posture Analysis using the RULA and OWAS Methods in the Cement Packing Section at the Packing Plant Indarung Unit of PT. Semen Padang Fatimah, Fatimah; Erliana, Cut Ita; Nisa Febriani, Aulia; Chalirafi, Chalirafi
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.496

Abstract

PT Semen Padang is a cement manufacturer. According to preliminary observations, the cement packing process, which is done at the Packing Plant Indarung unit, is the last step of the cement production process. Due to the sideways and bowed body positions, cement bagging is performed manually with a less ergonomic working position. This is performed continuously, causing workers complaints of musculoskeletal disorders. The results of distributing the Nordic Body Map questionnaire to employees indicate that many operators experience pain due to their work positions. Based on these findings, the RULA method was used to analyze work posture, yielding a group A posture score of 7, a group B posture score of 4, and a final RULA assessment score of 7. The OWAS method assessment, meanwhile, earned a score code of 2141 and was categorized as a level 3 risk. The results of the risk assessment using the RULA method yield a score of 7, indicating that the operator's work attitude needs to change immediately, whereas the results of the assessment using the OWAS method yield a score of 3, indicating that work posture has a very significant impact on tension and needs to be corrected as soon as possible. On the basis of the results of these assessments, a recommendation was made to design a trolley work facility that can be utilized to reduce the risk of MSDs for cement packaging operators

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