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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 567 Documents
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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
The Effect Of Holcim Cement Substitution On Fine-Grained Soils Its Influence On The Stability Of Soil Bearing Capacity Using The Terzaghi Method And Meyerhoff Method Sujatmiko, Heri
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.v3i4.469

Abstract

Soil is vital as a construction material and load support in civil engineering building work. The aim of stabilization itself is to increase the bearing strength of the soil by increasing soil cohesion and friction angles in the soil and maintaining good soil bearing strength so that it does not experience a decrease due to the influence of weather and air. Based on the Unified classification system, it is included in the OH classification or what is usually called clay soil with high organic plasticity, while based on the ASSHTO classification, the soil in Pancoran Village, Glagah District, Banyuwangi Regency is included in group A-7-5(25). The addition of Holcim Cement to clay soil from the Pancoran Village area, Glagah District, Banyuwangi Regency in the Direct Shear test obtained the most significant value in the 8.5% mixture with a curing time of 9 days for the ? value, namely ? = 19.8 ? from ? = 11.6 ? in the original soil or there was an increase amounted to 41.41% and for the c value, namely c = 9.75 kg/cm2 from c = 1.6 kg/cm2 in the original soil or an increase of 83.59%. The carrying capacity of soil tends to be greater after mixing cement additives. The maximum soil bearing capacity occurs when mixing 8.5% cement with nine days of curing, namely 66,458 t/m2 from 4,696 t/m2 of the original soil capacity or 92.93% for the Terzaghi method. Meanwhile, for the Meyerhoff Method, the maximum soil bearing capacity occurs when mixing 8.5% cement with nine days of curing, namely 92,696 t/m2 from 7,526 t/m2 of the original soil permit carrying capacity of 91.88%.
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.
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
Analysis of The Relationship of Land Transportation With GRDP in Wholesale and Retail Trade Sector, Car and Motorcycle Reparation Raditya, Rizky Putra; Setiawan, M Ikhsan; Durrotun, Ronny; Bahaswan, Rizal; Prawito, Adi; Heka Ardana, Putu Doddy; Sutapa, I Ketut; Irwansyah, Defi
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.v4i1.487

Abstract

Transportation Land transportation influences national economic growth. Due to the existence of land transportation modes, the national economy can continue to grow from year to year. This study analyzed the variable relationship between land transportation through road length data, road condition data, and GRDP in the wholesale and retail trade sectors. The results of this study show that good national road conditions have a very low positive correlation (0.079). And has an insignificant relationship to GRDP (0.665 0.05). National road conditions have a shallow level of positive correlation (0.074). And has a negligible relationship to GRDP (0.679 0.05). Damaged national road conditions have a superficial negative correlation (-0.040). And has an insignificant relationship to GRDP (0.823 0.05). National road conditions severely damaged did not pass the requirements test, normality test results (0.024 0.05). Provincial road conditions are good, with a positive correlation (0.681). And has a significant relationship to GRDP (0.00 0.05). Medium local roads have a good level of positive correlation (0.586). And has a substantial relationship to GRDP (0.00 0.05). The condition of damaged provincial roads has a low negative correlation (-0.103). It has an insignificant relationship to GRDP (0.563 0.05). The condition of the badly damaged national road does not pass the requirements test, the normality test (0.024 0.05). Moderate district/city road conditions have an average positive correlation (0.356). And has a significant relationship to GRDP (0.039 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05).
Work Posture Analysis in The Chips Frying Section Using Workplace Ergonomic Risk Assessment Method Tania, Tania Journal; Erliana, Cut Ita; Zakaria, Muhammad
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.v4i4.560

Abstract

U.D. Keripik Mustika is a small and medium enterprise (SME) that processes yam raw materials into special snacks in great demand for consumption and souvenirs. According to observations, the worker experienced pain complaints during frying in the shoulder area, arms, back, waist, hands, and feet. The complaint experienced by this worker was due to the worker's posture that had to stand and bend slightly with the position of the hands continuously mixing for 7 hours a day and done manually repeatedly over long periods. This is if left, then the worker will suffer musculoskeletal disorders (MSDs). The research was conducted using the WERA method (Workplace Ergonomic Risk Assessment), which explains the development of ergonomic risk assessment at the workplace to detect physical risk factors associated with musculoskeletal disorders (MSDs). The spread of the Nordic Body Map questionnaire on frying workers showed pain complaints from an unergonomic working posture. The study results were obtained from Employee 1, with a physical indicator score of 39 (Medium), and Employee 2, with a physical indicator score of 37 (Medium). Therefore, there is a need for improvement of the work facilities or the worker's posture. Based on the assessment results, the researchers suggested additional facilities for workers to design standing aids that reduce pain in the leg muscles and complaints of Musculoskeletal Disorders (MSDs).
Analysis of the Relationship of Land Transportation with GDP Regional in the Construction Sector in Indonesia Prasetyo, M. Ferdi; Setiawan, Muhammad Ikhsan; Dwi Apriliani, Dora; Prasetijo, Joewono
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.474

Abstract

As the world's population increases, the need for a mode of transportation will increase, and the amount of transportation currently has positive and negative impacts. The positive impact is to help mobilize goods, people, and services. Negative impacts are traffic jams, air pollution, and accidents. This study aims to determine the relationship between land transportation and GDP Regional in the construction sector in Indonesia. The findings in this study indicate that (1) The relationship between GDP Regional for Construction and the length of State/National roads according to paved road surface has a deficient correlation level with a correlation interval value (0.105) with a Sig value (0.559 0.05). (2) The relationship between GDP Regional of construction and the length of provincial roads according to asphalt surface has a moderate relationship with a correlation interval value (0.527) with a Sig value (0.002 0.05), GDP Regional construction with a length of provincial roads according to gravel surface has a deficient relationship level with a correlation interval value (-0.271) with a Sig value (0.127 0.05).
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.
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.

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