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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 : -
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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 21 Documents
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Search results for , issue "Vol 4, No 3 (2024)" : 21 Documents clear
Selectivity of Herbicides in Controlling Weeds in Corn (Zea mays L) With A Tegel and Jajar Legowo Planting Pattern in West Aceh Regency Fakhrurrazi, Fakhrurrazi; Baidhawi, Baidhawi; Yusra, Yusra
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.v4i3.536

Abstract

Maize (Zea mays L.) has a strategic role in meeting global food needs. How is the selectivity of herbicides in cultivation patterns 1 (single rows) and 2 (double rows) in Maize plants (Zea Mays L), how is the combination of herbs and plant pattern suitable for the management of weeds in corn crops (Zea mays L), how are the interactions of selectivities of herbicides and cultivation of maize (Zea mays L). This study uses Random Group Design (RGD) factorial patterns where factor 1 (herbicide) and factor 2 (planting pattern). The herbicide is composed of 4 types: H0 (control), H1 (Atrazine 180g/l + Mesotrione 40g/ l + Nicosulfuron 20 g/l, H2 (Atazine 500g/L, Mesotrione 50 g/L) and H3 (Topramezone 10 g/ L + Atrazine 300 g/ l). While the planting pattern consists of 2 types: P1: single row (70 x 20 cm) and P2: double rows (100x20x40 cm). Some conclusions were obtained, among others: The use of the herbicide atrazine in several formulas within the tile and legowo planting patterns does not cause poisoning in corn plants. The combination of herbicides (Topramezon 10 g/l and Atrazine 300 g/l / Tile) is most suitable for corn plants. There is an interaction between the herbicide and the planting pattern on the parameters of ear weight without husk and ear length without husk, which shows significant differences
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.
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.
Designing the UI/UX for a Shoe Repair Application Using the Design Thinking Method Tombeng, Marchel; Mambu, Joe Yuan
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.v4i3.538

Abstract

The process of designing a mobile application requires a user-centered approach that addresses real-world problems through innovation and creativity. This study focuses on applying the Design Thinking method to develop the UI/UX for a shoe repair service application, aimed at enhancing the user experience for both customers and service providers. The Design Thinking process consists of five stages: empathize, define, ideate, prototype, and test. Through these stages, the study identifies key pain points, such as customers’ difficulties in locating service providers and estimating repair times, and service providers’ challenges in managing customer flow and payment methods. Solutions generated include real-time updates on vendor locations, transparent wait times, and multiple payment options. Prototypes were developed and tested to assess usability, with the research highlighting the need for continuous iteration to improve user experience. The usability testing revealed mostly positive results, with an average usability score of 88.8 across scenarios. However, certain areas, particularly screens in scenario 5, showed higher error rates and required further refinement. This study demonstrates the effectiveness of the Design Thinking method in solving complex design challenges, offering innovative solutions tailored to user needs. The Shoe Repair application’s design not only enhances functionality but also addresses specific challenges faced by users, emphasizing the importance of an iterative, user-focused approach in UI/UX design
Performance Analysis Algorithm Classification and Regression Trees and Naive Bayes Based Particle Swarm Optimization for Credit Card Transaction Fraud Detection Afridah, Rita; Ula, Munirul; Rosnita, Lidya
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.v4i3.523

Abstract

With the advancement of technology, credit cards have become a popular tool for transactions, both physically and online, due to their ease of use and seamless integration with banking systems. However, with the increasing use of credit cards, the cases of fraud have also risen, resulting in financial losses for both cardholders and banks. To address this issue, effective and efficient credit card transaction fraud detection has become a top priority. Using machine learning algorithms is one of the techniques that can be employed to detect fraud in credit card transactions. The purpose of this research is to determine the performance and find the best method of the CART algorithm, Naive Bayes, and their combination with Particle Swarm Optimization (PSO) in detecting fraud in credit card transaction histories. The data used consists of 568,630 big data entries with parameters including id, V1-V28, amount, and class. The research results obtained are as follows: the accuracy of the Naive Bayes algorithm is 93.15%, precision is 94%, recall is 93%, and AUC is 0.99. For the CART algorithm, the accuracy is 99.96%, with precision and recall at 100%, and AUC at 1.00. Additionally, the Naive Bayes algorithm combined with PSO achieved an accuracy of 98.50%, precision and recall of 98%, and AUC of 1.00. Lastly, the CART algorithm combined with PSO reached an accuracy of 99.97%, with precision and recall at 100%, and AUC at 1.00. It can be concluded that the best method resulting from the tests conducted is the Classification and Regression Trees method combined with Particle Swarm Optimization.
Training on Providing Additional Food For Prospective Mothers As The Importance of Balanced Nutrition 1000 HPK Bernadetha, Bernadetha; Pramono, Joko Sapto; Palin T, Yona
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (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.v4i3.529

Abstract

According to data from the Health Center Profile, the majority of the population at the trauma center, specifically 10,327 individuals, or 49.1%, are private employees. At the same time, the smallest group, consisting of only 28 people, are scavengers. The health center employs 67 health workers, while the trauma center has 35 integrated health posts, with one integrated health post housing 6 people. In 2022, the prevalence of balanced nutrition in East Kalimantan will be 23.9%, placing it 16th among 34 provinces in Indonesia (SSGI, 2022). In Samarinda City, the prevalence of stunting is 25.3% (SSGI, 2022). This makes the government more aggressive and focused on the stunting problem. However, underweight and wasting strongly influence stunting in East Kalimantan; a decrease in underweight and wasting also reduces stunting. The challenges include a lack of achievement targets for balanced nutrition in the Trauma Center Health Centre's work area, which can be attributed to economic factors and parenting patterns that affect food provision. The Trauma Center Health Center faces several challenges, including a lack of knowledge among health workers, a low community economy, and suboptimal participation from health workers in promoting balanced nutritional health. This study aims to enhance the understanding and accessibility of balanced dietary food for prospective mothers by facilitating simulations and demonstrations of food portioning techniques.
Mobile Learning Application Tahsin Al-Quran Using Dynamic Time Warping Method Based on Adroid Nasution, Wahidatunnisa; Ula, Munirul; Rosnita, Lidya
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.v4i3.512

Abstract

This research aims to design and build an Android-based Quran tahsin learning mobile application using the Dynamic Time Warping (DTW) method. This application offers tajweed learning features and voice exercises to find out the readings of Al-Quran readers. The DTW method is used to analyze the similarity between the user's voice pattern and the reference voice pattern in the application. The research methods used include reference collection, direct observation, and literature study. The application is designed with a user-friendly interface and equipped with an accurate ability evaluation feature, so that users can find out their weaknesses and strengths in learning Qur'an tahsin. Based on the test results, out of 42 voice data tested, 38 data were successfully recognized correctly and 4 data had errors. The average accuracy rate of this application reached 90.47%. This application is designed to overcome some of the main problems in learning Quran tahsin: lack of understanding of basic tahsin techniques, lack of appropriate learning tools, difficulty in evaluating skills, and lack of motivation to learn. With this application, users can learn Quran tahsin more easily and effectively through interactive and varied methods. Evaluation of users' ability to recite Quranic verses can also be done accurately, so that users can know their strengths and weaknesses in tahsin learning. The implementation of this application is expected to make a significant contribution in improving the quality of Quran tahsin learning among the wider community.
Analysis of Public Sentiment Towards Celebrity Endorsment On Social Media Using Support Vector Machine Syahputra, M Oriza; Bustami, Bustami; Rosnita, Lidya
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.v4i3.543

Abstract

Analysis of public sentiment towards celebrity endorsements on social media is very important to understand the public's response to promotional campaigns involving celebrities. In this study, we combine the VADER labeling method with the Support Vector Machine (SVM) method to analyze public sentiment toward celebrity endorsements on social media. Data is taken from various social media sources such as Twitter, Instagram, and Facebook. The data is pre-processed to ensure data accuracy and relevance and then labeled with the VADER method to determine the positive, negative, or neutral sentiment of the text. The labeled data is then extracted for features and used to train the SVM model. The trained SVM model is then validated using test data to measure its accuracy and performance. The results of the analysis provide useful insight into public sentiment towards celebrity endorsements on social media and can provide recommendations for stakeholders regarding this matter. Overall, combining the VADER labeling method with SVM in analyzing public sentiment towards celebrity endorsements on social media shows more accurate results and can provide practical benefits in marketing and promotional strategies. The results shown using the Support Vector Machine method with a ratio of 80:20 can provide average precision results of 77%, recall of 100%, f1-score of 87%, and accuracy of 76.92%. Twitter application user sentiment shows that 77% (338 data) of Twitter user reviews provide positive sentiment and 23% (119 data) provide negative sentiment reviews from a total of 517 data. Suggestions from researchers are that in future research they can add more data to make modeling easier to provide higher accuracy values. Using other classification and performance evaluation methods, such as Naive Bayes, Decision Tree, Fuzzy, or Deep Learning. Use other data processing tools, such as RapidMiner, Jupyter Notebook, RStudio, or others.
Digital Applications and The Use of Information Technology in Increasing the Attractiveness of Foreign Tourist Visits Dessy Hariyanti, Ni Kadek; Noviani, Lona; Khairani, Elisa; Latief, Yanuar; Mustafa, Fahrina
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.v4i3.525

Abstract

This study aims to analyze the role of the adoption of technology and digital devices in facilitating business processes in the tourism industry in terms of delivering interactive information to tourists, especially foreign tourists. This study uses a qualitative method. Data collection methods used in the study are literature reviews, field surveys, and observations. The results of the study show that many foreign tourists are active and regular in using information and communication technology with laptops, smartphones, and the Internet. The results of the study also concluded that applications such as digital maps are the most popular devices for planning travel. Although the demand for digital solutions is very high, there is a gap between the technology preferences of foreign tourists and the ability of industry players to adopt technology, the majority of tourism industry players still rely on conventional methods. Foreign tourists who are currently dominated by the digital generation show a fast understanding and adaptation of technology, this should be responded to quickly by tourism business actors in Indonesia in developing digital devices. The tourism sector needs to improve technology integration to improve the efficiency and relevance of information services. To meet the needs of foreign tourists and technology-savvy tourists, it is important to develop technological devices that can be used to provide information and are easily accessible

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