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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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Synthesis and Characterization of Chitosan-Pectin-Citric Acid-Based Hydrogels for Biomedical Applications (Primary Wound Dressings) Suryati Suryati; Rizka Mulyawan; Sulhatun Sulhatun; Muhammad Muhammad; Nikmat Wanda
International Journal of Engineering, Science and Information Technology Vol 3, No 2 (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.v3i2.447

Abstract

This study aims to analyze the processing of chitosan-pectin biocomposite hydrogel with the addition of citric acid to improve the quality of the biocomposite for primary wound dressing applications. The method is printing the biopolymer solution in a glass mold, then drying at 50oC. Chitosan 90.2% DD and pectin dissolved in 1% acetic acid with a ratio (w/w) of 50:50. The two ingredients were mixed using a magnetic stirrer at room temperature for 30 minutes until completely dissolved, then added citric acid crosslinking agent with various concentrations of 2,4, 6,8,10 (%). The test results for the characteristics of the chitosan-pectin-acid biocomposite Citrate obtained the best thickness in the composition variation (50:50:8) of 0.31 mm. The analysis results of the best absorption of the chitosan-pectin-citric acid biocomposite on the composition variation (50:50:6) were 185%. In the swelling analysis of the chitosan-pectin-citric acid biocomposite, the variation in composition (50:50:10) was 403%. The tensile strength test results of the chitosan-pectin-citric acid biocomposite decreased with the addition of citric acid, the best obtained was 20.76 MPa, and the best elongation was 76.0%. Test results for the functional group of the chitosan-pectin-CaCl2 biocomposite for the presence of O-H, C-H, N-H bonds in the fact of O-H, C-H, N-H bonds at a wavelength of 4000-2500 cm-1, C=O, C=N, C=C at a wavelength of 2000 -1500, and the specific absorption of the chitosan-pectin-citric acid biocomposite 400-1400 cm-1 indicates that the resulting membrane tends to be polar, hydrophilic and environmentally friendly because it can be degraded. Based on the expected test results, it was shown that the chitosan-pectin-CaCl2 biocomposite has the potential to be applied as an ideal primary wound dressing for wound healing and protection.
The Effect of Natural Fiber Percentage on the Tensile Strength of Paper Using ANOVA Reza Syahputra; Muhammad Sayuti; Fatimah Fatimah; Sri Mutia
International Journal of Engineering, Science and Information Technology Vol 3, No 2 (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.v3i2.448

Abstract

Paper is generally made of cellulose fibers derived from wood raw materials. Increased demand for production will have an impact on forest exploitation which can lead to environmental stability. Alternative natural fibers containing cellulose fiber are biomass waste such as Galangal Stems (Alpinia Galanga), Pineapple Leaves (Ananas Cosmosus), Banana Stems (Musa Paradisiaca), and others. The use of natural fibers can reduce the exploitation of wood as a raw material for paper. The purpose of this study was to determine the effect of natural fibers consisting of galangal stems, pineapple leaves, banana contains, and waste paper on the tensile strength of paper using ANOVA. The ratio of the percentage of fiber passed is galangal stems 50:10 and 50:40, pineapple leaves 50:10 and 50:40, banana contains 50:10 and 50:40, and waste paper 100% or without comparison. Tensile strength was carried out according to ASTM-D638, then data processing was carried out using the One Way ANOVA method. The results showed that the highest tensile strength value of banana stem paper and waste paper with a ratio of 50:10 was obtained at 7.04262 MPa resulting in the best tensile strength compared to other fibers. Factors that affect the tensile strength are the length of the fiber, and the bonds between the fibers are related to the fiber content. The results of this study concluded that the greater the number of material components in the manufacture of recycled paper, the greater the tensile strength of the report produced.
Applying Artificial Intelligence to Classify the Maturity Level of Coffee Beans During Roasting Dede Herman Suryana; Wahyu Kusuma Raharja
International Journal of Engineering, Science and Information Technology Vol 3, No 2 (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.v3i2.461

Abstract

Coffee is a highly popular beverage worldwide. The quality of coffee is often judged based on its aroma and taste. Good coffee quality is influenced by various parameters during the coffee bean roasting process. Roasting is a crucial step where green coffee beans are heated at high temperatures, undergoing chemical reactions such as hydrolysis, polymerization, and pyrolysis. The color changes during the roasting process are caused by melanoidin, which results from Maillard and caramelization reactions, also impacting the flavor profile. Therefore, it is essential to accurately classify the level of coffee bean maturity. In the development of supercomputer technology, particularly with high-speed GPU microprocessors and large memory capacities, artificial intelligence algorithms have been widely implemented in various applications. Research on smart machines has been conducted to create systems resembling human intelligence. One of its applications is in recognizing the maturity level of coffee beans during roasting. In this study, image segmentation using ROI (Region Of Interest) and RGB color features are utilized to identify the characteristics of each coffee bean image. Additionally, CNN (Convolutional Neural Network) is employed for the classification stage, and this model is implemented into an Android smartphone device to detect the type of coffee bean being roasted. After the training process with 100 epochs, the model achieved a loss of 0.12 and a training accuracy of 94.79%. The model is capable of classifying images from the test data with an average accuracy of 85.83% and a loss value of 0.35.
Sentiment Analysis of Honkai: Star Rail Indonesian Language Reviews on Google Play Store Using Bidirectional Encoder Representations from Transformers Method Fitra Ramadhan, Zekri; Benny Mutiara, Achmad
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.v3i3.462

Abstract

Online games are a type of entertainment that is done by humans to have fun and forget all the problems in everyday life. Honkai: Star Rail is a new online game application owned by miHoYo which is currently popular and widely downloaded on the Google Play Store. Reviews on the Honkai: Star Rail app are increasing over time so this makes it difficult for app developers to know past user reviews on their apps. Therefore, the author conducted a study to analyze sentiment towards Honkai: Star Rail application reviews in Indonesian on the Google Play Store using the Bidirectional Encoder Representations from Transformers (BERT) method to determine user sentiment towards the Honkai: Star Rail application and then processed further so that it becomes a record for developers, users, and prospective users of the Honkai: Star Rail application. This study uses Indonesian language review data from users of the Honkai: Star Rail application found on the Google Play Store website as many as 6000 reviews. The BERT method applied in this study consisted of data collection, dataset labeling, data preprocessing, dataset splitting, modeling, model training, and evaluation. Based on the evaluation results that have been carried out on the test data, 97 data are true positive with 27 data are false positive, 4 data are true neutral with 47 data are false neutral, and 381 data are true negative with 37 data are false negative. So, it can be concluded that the model still has difficulty predicting reviews with neutral sentiment but is good enough at predicting reviews with positive and negative sentiment. In addition, the accuracy of the model is 81% with a precision of 63% for positive sentiment reviews, 36% for neutral sentiment reviews, and 89% for negative sentiment reviews.
Sentiment Analysis Using Convolutional Neural Network Method to Classify Reviews on Zoom Cloud Meetings Application Based on Reviews on Google Playstore Refianti, Rina; Anggraeni, Novia
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.v3i3.463

Abstract

Zoom Cloud Meetings is an application that is used to conduct video conferencing. On the Google Play Store, the Zoom Cloud Meeting application received a rating of 3.8, with 500 million more downloads as of March 2021. The application has many advantages, such as not being disturbed by pauses in conversation and having good video and audio quality. The advantages possessed by these applications require development so that application services are getting better. For this reason, user reviews are needed to see user satisfaction with the application so that they can determine services that can be developed in the future. Based on this, this research was created to create a web-based application that can classify user reviews of the Zoom Cloud Meetings application using the Convolutional Neural Network (CNN) method and calculate the accuracy value. This application is built using the Flask framework and the Python programming language. Model training is carried out using the TensorFlow library. Applications that have been made are then tested using two stages of testing, namely system testing with black box and data testing. Based on system testing, it was found that the website can run well, and for data testing using test data, the accuracy result is 91.5%.
Comparative Study of Strengthened Steel Structure Behavior Using Bracing and Shearwall Khairullah Yusuf; Fasdarsyah Fasdarsyah; Nura Usrina; M Fauzan; Rahmi Nurahim
International Journal of Engineering, Science and Information Technology Vol 3, No 2 (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.v3i2.456

Abstract

Multi-storey buildings are very susceptible to lateral forces, so reinforcement is needed to stiffen the building by adding a system of stiffeners to the building structure. In steel building structures, the system of stiffeners bracing and confessor shearwall can provide rigidity and strength by limiting the movement of the structure. In addition, the placement of stiffener systems in the right locations can also increase the rigidity of the building structure. This study aims to compare the effectiveness of structural behavior using a stiffener system based on the value of the fundamental period (T), the base shear force (V), the drift between stories (?x). In this research using a steel structure model that functions as an office building with a height of 10 levels, one variation of the model without stiffeners and four models with stiffeners, with two variations of the position of the stiffeners, namely in the middle and on the edge of the structure. The results of this study indicate that the addition of a stiffener system can increase the rigidity of the structure. The most effective structural model is found in the structural model with stiffeners shearwall the stiffener position in the middle which has a fundamental period value in the X and Y directions of 17.67% and 18.32% is better than the other models. For the base shear force values in the X and Y directions are 0.95% and 0.95% smaller than the other models. The deviation values between floor levels in the X and Y directions are 9.67% and 34.17% better than the other models. Meanwhile, the inefficient structural model is found in the structural model with stiffeners bracing on the edge which has a fundamental period value in the X and Y directions of 8.96% and 9.32% which is no better than the other models. For the base shear force values in the X and Y directions are 18.02% and 18.02% greater than the other models. The deviation values between floor levels in the X and Y directions are 1.69% and 13.15%, not better than the other models. So in this study it can be concluded that the stiffener system with a position in the middle is better than the position on the edge.
Evaluation of Technical Shrinkage of Express Extension PL 03 and LW 09 at PLN Lhoksukon Using ETAP Software Raihan Putri; Dheo Pratama; Arnawan Hasibuan; Muchlis Abdul Muthalib; Nanda Sitti Nurfebruary
International Journal of Engineering, Science and Information Technology Vol 3, No 2 (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.v3i2.458

Abstract

The electricity distribution system generally starts from the generation, transmission, and distribution systems. In the distribution system, there are two channels, namely primary distribution with a voltage value of 20 kV and secondary distribution with a voltage of 220/380 V. Distributing electrical energy often experiences problems, one of which is the occurrence of energy losses during the distribution of electrical power to customers. Energy losses are energy losses due to technical and non-technical factors. This study evaluates energy losses due to technical factors in the express extension PL 03 and LW 09 PT PLN (Persero) ULP Lhoksukon. The method used to assess energy losses due to technThe calculation results show that theological factors with ETAP software simulations and more detailed technical shrinkage calculations, namely by calculating conductor and transformer shrinkage on the repeater. From the results of the ETAP simulation, it is obtained that the voltage losses of the PL 03 and LW 09 Lhoksukon ULPs still meet the standards according to SPLN 1: 1995 for a voltage of 20 kV where the limits set are +5% maximum and -10% minimum of the system voltage. The drop Voltage of PL 03 Extension is 7.6%, and LW 09 Extension is 8.25% of the nominal voltage of 20 kV. From the calculation results, of Drop Voltage of the PL 03 Repeater is 5.5%, and the LW 09 Repeater is 8.5% of the nominal voltage of 20 kV.
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.
Interpretation of Building Maintenance Factors on Employee Convenience at The Factory of PT Campina Ice Cream Industry Tbk Setiawan, Rudi; Durrotun Nasihien, Ronny; 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.v4i1.481

Abstract

Buildings are an essential part of human life. Building maintenance is carried out to provide security and comfort for building users. This study aims to determine and analyze the implementation of building maintenance, the influence of maintenance factors on building maintenance, and what maintenance factors have a dominant influence on the comfort of building users at PT. Campina Ice Cream Industry Tbk. This study uses a quantitative approach to data collection using a questionnaire. The population used in this study were employees at the PT. Campina Ice Cream Industry Tbk has a total of 520 employees. Meanwhile, the research sample was 72 employees at PT. Campina Ice Cream Industry Tbk. The data was tested using the validity test and reliability test. The analytical method used is multiple linear regression analysis with hypothesis testing using the t-test. The study results show that the condition of building maintenance is carried out at the factory of PT. Campina Ice Cream Industry Tbk, through architectural, mechanical, and electrical maintenance, has been carried out well, starting from wall and window maintenance and wall/glass cleaning, properly providing and maintaining health facilities, and holding office facilities and infrastructure, especially in regular electrical installations. The results of the t-test show that architectural, mechanical, and electrical maintenance has a significant effect on comfort. The building maintenance variable that has the dominant influence on comfort is the electrical maintenance variable.
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

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