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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 593 Documents
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The Impact of WhatsApp in EFL Class on Student's Learning Performance of Second-Grade Students of SMA Xaverius Ambon Titirloloby, Piter
International Journal of Engineering, Science and Information Technology Vol 3, No 4 (2023)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i4.468

Abstract

Technology in the 21st century is valid in human social life. Almost all people all over the world use technology to complete their needs. Using the WhatsApp application on mobile phones or social media connected with a network of students in SMA Xaverius Ambon is more beneficial. This research focuses on the actual condition related to the impact of WhatsApp in EFL classes on The learning performance of second-grade students of SMA Negeri Xaverius Ambon. The researcher used a survey design to find the results of the students in the EFL Classroom perspective in using WhatsApp on students' learning performance. Fifty students' perspective answers from class A and class B of the second grade of SMA Negeri Xaverius Ambon were interviewed, and 50 questionnaires were given to students in the classroom. This research maintained that harmful purpose impacts the student's learning performance more. This research revealed that WhatsApp can be used to communicate easier and faster, providing specific and practical information and sharing knowledge among students; instead, it is acquired negatively on the performance of SMA Xaverius Ambon students. The findings of this research can be beneficial to SMA Xaverius EFL students and classroom teachers in developing WhatsApp in the teaching and learning process.
Determination of The Critical Period of Sweet Corn Plants (Zea Mays Saccharata Sturt) Against Weed Safrina, Safrina; Baidhawi, Baidhawi; Hafifah, Hafifah
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i3.524

Abstract

The critical period is a time when cultivated plants are very sensitive to the presence of weeds so that the disturbance caused by them can reduce the final yield. So, no the entire growing period of plants is affected by weeds. This critical period relates to the time of proper control so that the presence of weeds does not always require control measures. This research aims to determine the critical period for sweet corn (Zea Mays Saccharata Surt) against weeds and the effect of weeds on the growth and yield of sweet corn plants. This research was carried out at Gampong Mesjid, Kaway XVI, West Aceh Regency, Soil Science Laboratory and Pest and Disease Laboratory, Agroecotechnology Study Program, Faculty of Agriculture, Malikussaleh University, North Aceh from February to April 2024. This research used an experimental method of randomized block design (RAK), the single factor that consists of 10 treatments with 3 repetitions. P1: 0-15 DAP with weeds, P2: 0-30 DAP with weeds, P3: 0-45 DAP with weeds, P4: 0-60 DAP with weeds, P5: 0-Weedy harvest, P6: 0-15 DAP weeds free, P7: 0-30 DAP weeds free, P8: 0-45 DAP weeds free, P9: 0-60 DAP weeds free, P10: 0-DAP harvest free from weeds. The observation data were analyzed using analysis of variance, the treatment average was obtained through Duncan’s Multiple Range Test (DRMT) a the 0.05 level. The research results show that the critical period for sweet corn (Zea mays saccharata Sturt) for weeds is determined at the age of 16-30 days after planting. Weed control carried out between  16-30 days of plant age will not inhibit the growth and yield of sweet corn plants.
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 Relationship of Domestic Sea Transportation to the Gross Regional Domestic Product of the Real Estate Sector in Indonesia Nur Alfionita, Firda Bunga; Setiawan, M Ikhsan; Prawito, Adi; Koespiadi, Koespiadi; Durrotun N, Ronny; Ismawati, Ismawati; Sutapa, I Ketut
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.486

Abstract

The economic slowdown due to the pandemic has negatively affected various sectors in Indonesia, including the real estate sector. Meanwhile, Java Island is still the center of the economy in Indonesia. This contrasts the conditions of regions outside Java, which are still experiencing development gaps. Despite being a minor contributor to GDP, areas outside Java, such as Maluku and Papua, have experienced rapid economic growth. This proves that, outside Java, there is still significant potential for growth and investment, although it is inevitable that it will face unique challenges and obstacles in the future. Some of the factors that cause this to happen are the lack of supporting infrastructure such as roads, limited skilled human resources, and connectivity and transportation mobilization in the area. Excellent and appropriate connectivity and mobilization are needed to support economic growth in an area. One option for mobilization tools for archipelagic countries like Indonesia is sea transportation. In meeting the needs of the property and real estate sector, sea transportation is one of the options of choice. Excellent and proper connectivity and mobilization can be a factor that supports economic growth as well as the real estate sector outside Java. In the real estate sector, maritime transportation is essential in the timely distribution of quality building materials and construction equipment to development sites. There is undoubtedly a link between marine transportation and property/real estate in Indonesia. The research method used in this study is a significant correlation analysis, namely Pearson Product Moment, to determine the relationship between two variables, namely Domestic Sea Transportation and Real Estate Sector GRDP. The results of the correlation data test in this study show that the Domestic Sea Transportation variable is positively correlated with the Real Estate GRDP variable. Indicated by the correlation coefficient value for each sea transportation variable of domestic ship visits (units) = 0.331, domestic ship visits (GT) = 0.504, the flow of Non-Crate and Container goods (unloading) = 0.251, the flow of Non-Crate and Container goods (loading) = 0.447. It can be interpreted that there is a positive relationship between the four sea transportation variables and Real Estate GRDP.
Empowering Manager Performance: The Role of Heart Leadership in Boosting Job Satisfaction and Shaping Organizational Culture at PT Perkebunan Nusantara III (Persero) Siregar, Darmansyah; Lubis, Zulkarnain; Rahmadani, Vivi Gusrini; Reza Aulia, Muhammad; Sinulingga, Mehaga Bastanta
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.559

Abstract

As the highest leader in the plantation and factory, the manager controls both the positive and bad aspects of the plantation and factory. Understanding how leaders act and behave regarding their Heart, emotional intelligence, and spiritual intelligence, as well as how this relates to Performance, remains a rare phenomenon. Emotional and spiritual intelligence are directly associated with leading from the Heart. To address the gap in our understanding, this study examines the effect of a heart-centered leadership style on the productivity of oil palm plantation company managers. Previously, there has been little research on how this style relates to Performance. Indonesia's palm oil companies are pretty advanced and have cornered the global market. Applying heartfelt leadership is one technique to boost manager performance. This calls for research into how a compassionate leadership style affects the productivity of oil palm workers. This research makes use of the partial least squares technique. This study found that managers' Performance was unaffected by heartfelt leadership but that it did affect team members' happiness and company culture. When managers are happy, they perform better, but company culture has little effect. Leadership with the Heart indirectly affects manager performance through job satisfaction.
Model of the Need for Road Service Improvement, Maruni Manokwari, Indonesia Parlindungan, Charlton; Mudjanarko, Sri Wiwoho; Setiawan, Muhammad Ikhsan; Wahyuni, Atik
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.473

Abstract

Roads are vital infrastructure for land transportation and one of the most critical aspects of development in the national and regional economy. According to the Central Statistics Agency for West Papua, the roads successfully built in West Papua Province were only 11,951,592 km until 2017. It comprises 1003.26 km, 2309,648 km, and 8,638,687 km of national, provincial, and regency roads, including Jalan Maruni - Manokwari City Limits. According to the Minister of PU-PR RI, this road type 2/2 UD length is 17.17 km and administratively connects two districts (West and South Manokwari). One of the areas in West Papua Province where the development of infrastructure, investment, and urbanization is very rapid is Manokwari Regency. In line with the change in government status, its development then changed the physical image of the region to become urban. It is because Sorong City has a strategic economic location concerning natural resources, high accessibility, and is the center of the provincial government, thus attracting other financial functions for investment. This movement burdens road infrastructure, and we need several alternative treatments to improve the service of the street segment above. The method is done through surveys of stakeholders on alternative handling, and then the results are analyzed using multiple linear regression. This research is expected to find alternative handling solutions to improve road services in this segment.
Factors Related to the Incidence of Diabetes Mellitus at the Trauma Health Center in Samarinda City Bernadetha, Bernadetha; Palin T, Yona; Satriani, Satriani
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i3.528

Abstract

A functional disorder known as diabetes mellitus results in a lack of insulin hormone, either because the pancreas is unable to produce it or because body cells are unable to properly utilize the insulin the pancreas has produced. Because of this disorder, blood sugar levels will rise uncontrollably. Continuously high glucose levels will poison the body, including its organs. The 2018 Riskesdas statistics show that 2% of Indonesians over the age of 15 have been diagnosed with diabetes mellitus. Compared to the 1.5% prevalence of DM in the 2015 Riskesdas data, this figure indicates a rise. Nonetheless, blood sugar levels rose from 6.9% to 8.5% in 2018 based on data from tests conducted in 2013. According to this statistic, about 25% of DM patients are aware that they have the disease. Finding the diabetes mellitus risk variables at the Trauma Center Health Center in Samarinda City is the aim of this study. The study uses a cross-sectional analytical survey that is directed at all 189 patients at the Trauma Center Health Center in Samarinda City who have diabetes mellitus. The study uses unintentional sampling and a questionnaire to gather data. To examine the data for persons with diabetes, we employ the chi square test at a 5% confidence level.  
Analysis of The Interrelationship Between Minimum Wage Policy, Citizenship Status and Distribution of Labor Income in Indonesia Real Sector Industries Kamar, Karnawi; Kusnadi, Iwan Henri; Indriastiningsih, Erna; Sihombing, Dina Agnesia; Indriani, Lely
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i3.515

Abstract

This study aims to analyze the wage gap between natives and immigrants currently working in the real sector in Indonesia. This study uses survey data with a sample of individuals aged between 20 and 55 years. This study uses a quantitative approach, utilizing segmentation analysis techniques. The conclusion of the study shows that immigrants earn higher average wages than natives, this difference is caused by several factors that can be directly identified such as education level, worker bargaining power and the capacity or skills possessed by the workforce. This gap is more pronounced in the middle of the income spectrum, where factors such as discrimination that generally occur in other countries do not occur in Indonesia and immigrant skills are considered better than local citizens. Companies in Indonesia generally still view foreign citizens working in Indonesia as having above average abilities. The suggestion from the study is that it is necessary to review the regulations governing wage policies and improve the protection of workers' rights, especially at the middle-income level, to address this gap. Policies should be focused on increasing local citizens' access to quality jobs, reducing informality in the labor market, and the government should provide active and proactive permission to develop the quality of local human resources by building education and training systems and facilities. This approach aims to create a more qualified and competitive local labor market.
Comparative Analysis of CNN-RNN Models for Hatespeech Detection Incorporating L2 regularization Handayani, Tri Pratiwi; Hasyim, Wahyudin
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.491

Abstract

This study aims to address the challenge of detecting hate speech in text data by comparing two experimental CNN-RNN models. The primary issue is achieving a balance between precision and recall in hate speech detection while preventing overfitting and ensuring good generalization. Two different approaches were applied: the first model used standard training techniques, while the second model incorporated L2 regularization and early stopping. The research involved using Keras Tokenizer for text tokenization, layering with CNN and LSTM for feature extraction and temporal context capturing, and applying dropout to prevent overfitting. L2 regularization and early stopping were added to the second model to enhance generalization. The findings reveal that the first model, although exhibiting some overfitting, attained a higher overall accuracy of 78% and more balanced F1-scores for both the "Not Hate Speech" and "Hate Speech" categories. The second model, although achieving higher precision for hate speech (0.81), had lower recall (0.58), resulting in an overall accuracy of 75%. This suggests that regularization and early stopping need careful tuning to avoid reducing sensitivity to hate speech detection.
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.

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