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Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS)
Published by Universitas Malikussaleh
ISSN : -     EISSN : 29632536     DOI : https://doi.org/10.29103/micoms.v4i.884
Core Subject : Science, Social, Engineering,
Engineering Environmental Science Physics
The proceedings compile a wide range of research papers presented during the conference, showcasing the commitment of the academic and professional community to exploring innovations in polymer materials and their eco-friendly applications. Key Topics Discussed: Polymer Materials and Sustainable Polymers; Polymer Processing and Biopolymers; Environmental and Socio-Economic Impacts of Plastics; Chemistry, Energy, and Green Chemistry; Materials Science, Nanomaterials, and Biomaterials; Electrical Technology and Information Systems; Social Sciences, Education, Politics, and Law; Agriculture, Food, Medical Sciences, Psychology, and Nutrition We hope this proceeding serves as a valuable reference for researchers, professionals, and students in their collective efforts toward the development of innovative and eco-friendly polymer materials.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 134 Documents
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Analysis of Prospective Teachers' Abilities to Designing Artificial Intelligence-Based Learning Media Nur Elisyah; Widya Widya; Nova Herliana Hasibuan; Dinda Adha Hutabarat
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.882

Abstract

This research evaluates the capability of prospective teachers to design learning media that effectively incorporates Artificial Intelligence (AI). Conducted within the Mathematics Education Study Program at Malikussaleh University, the study highlights the significant role of AI in education during the Society 5.0 era, particularly in enhancing the quality of learning. Using a descriptive quantitative research method, data was collected through a questionnaire distributed to 60 students in the Mathematics Education Study Program. The findings clearly indicate that 33,33% of respondents fall into the medium ability category, while 53.33% are classified as high and 13.33% as very high in their ability to design AI-based learning media. These findings suggest that while a majority of prospective teachers demonstrate strong competencies in designing AI-based learning media, a notable 33,33% remain in the medium category and may require additional support. It is crucial to enhance skills in creating AI-based learning media to ensure that prospective teachers are well-prepared to address the challenges of education in the digital age. This research provides valuable insights into the abilities of prospective teachers and is expected to serve as a key reference for developing more effective training programs in the future.
Innovative IoT-Based Automatic Gate System with RFID and Electro-Magnetic Lock for Secure Access David Fadlianda; Muhammad Fikry; Nunsina
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.884

Abstract

In this study, we developed an innovative IoT-based automatic gate system aimed at enhancing security and providing flexible access control. The system incorporates an ESP32 microcontroller with integrated Wi-Fi, enabling seamless remote access via mobile devices. It also features RFID technology for reliable physical access control when an internet connection is unavailable. To ensure user safety, an HC SR-04 ultrasonic sensor is implemented to detect obstacles during gate movement, preventing potential accidents. The security of the system is further reinforced by a dual-layer mechanism utilizing an electromagnetic lock (Emlock), which activates upon gate closure to prevent unauthorized access and deactivates when the gate opens. Experimental results indicate that the system effectively addresses the shortcomings of conventional gate control methods, delivering improved security, convenience, and safety for users. Performance tests confirm the reliable operation of both RFID and mobile control functions, with minimal delays observed in sensor response times. This comprehensive solution is well-suited for residential and commercial properties, offering a modern approach to automatic gate security.
Machine Learning Algorithms Comparison for Gender Identification Aldo januansyah. H; Muhammad Fikry; Yesy Afrillia
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.885

Abstract

Abstract. In this study, we presents a comprehensive analysis of gender identification methods utilising eight distinct classification models: K-Nearest Neighbors (KNN), Naive Bayes, Decision Tree, Random Forest, Logistic Regression, XGBoost, Support Vector Machine (SVM), and Neural Network. Gender identification is a critical task with significant applications in marketing, social analysis, and security systems, necessitating the exploration of various methodologies to achieve optimal performance. The dataset employed in this research underwent normalisation using the Min-Max scaling technique, which enhances the performance of classification models by ensuring that all features contribute equally, particularly when the data exhibits varying ranges of values. The results reveal that the K-Nearest Neighbors (KNN) model significantly outperformed the other models, achieving an impressive accuracy of 0.9758 with a support of 951, underscoring the effectiveness of the KNN algorithm in gender identification tasks and establishing it as a reliable choice for applications requiring high accuracy. Furthermore, the study emphasises the critical importance of selecting appropriate models in machine learning tasks and the substantial impact of data normalisation on model performance. Overall, this research provides valuable insights into the KNN algorithm, demonstrating its ease of implementation and exceptional effectiveness in achieving high precision in gender identification tasks, with implications for future research and practical applications across various fields. Keywords : classification models; data normalisation; gender identification; K-Nearest Neighbours; machine learning.
Improving Mathematical Problem-Solving Ability Through Models of Problem Based Learning Yulia Zahara; Nurul Afni Sinaga; Rizka Suhaila; Zurra Yusally Aufa
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.886

Abstract

One of the aims of learning mathematics at school is to develop students' mathematical problem-solving abilities. This is in accordance with the objectives of mathematics learning in the independent curriculum set by the Curriculum and Educational Assessment Standards Agency. In the learning process using the Problem Based Learning model, students will be faced with various mathematical problems which are also related to daily life, so diligent and persistent efforts are needed from students to solve these various problems. This research is experimental research because the researcher applies a treatment to the research sample and then wants to know the effect of this treatment, namely in the form of increasing mathematical problem-solving abilities. The treatment given is learning using the Problem Based Learning model in the experimental class and conventional learning in the control class. The statistical test used to analyze data on increasing mathematical problem-solving abilities is the t* test. Based on the results of the t test, it was found that the sig value was 0.000 < 0.05 so that H0 was rejected, it could be concluded that the average mathematical problem-solving ability of students who receive learning through the problem based learning model is better than students who receive conventional learning.
Finite Element Analysis On T-Type Bone Plate Using Stainless Steel 316l Ahmad Fikri; Desvina Yulisda; Agam Muarif; Rizka Mulyawan; Agus Adi Nursalim; Balqis Yafis; Sylvie Anastasya Utami; Apriani Riski; Nurmalita Nurmalita
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.887

Abstract

Bone fractures refer to the phenomenon of bone breakage or detachment caused by intensive loads. The primary causes of bone damage include incidents, traffic accidents, and sports injuries. One of the materials commonly used for bone support applications is 316L stainless steel. The design process for T-type bone supports involves creating mechanical drawings and simulations to demonstrate the material's behavior when subjected to mechanical and thermal loads during use by patients.In this study, the researchers aim to examine the mechanical and thermal properties of T-type bone plates using the Finite Element Analysis (FEA) method. The technical drawing of the T-type bone support is developed in Autodesk Fusion 360. The simulations involve the application of static and thermal loads. The loads applied to the T-type bone plate include compressive forces of 1 N, 10 N, 50 N, 85 N and 500 N, as well as temperatures of 28°C, 500°C, 800°C, 950°C, and 1400°C. The smallest stress is observed at a force of 1 N, resulting in a stress of 4.64 MPa, while the highest stress is recorded at a force of 500 N, producing a stress of 2319.70 MPa. Forces below 50 N are considered the safest to avoid deformation during loading. Additionally, temperatures below 912°C are optimal for the operation of bone supports.
Analysis of Briquettes Characteristics Made of Oil Palm Frond Waste and Sugarcane Bagasse with Tapioca Starch Adhesive Agam Muarif; Rizka Mulyawan; Ahmad Fikri; Desvina Yulisda; Dedi Sutarma; Intan Rukmana; Ahmad Pane
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.888

Abstract

Oil palm frond waste and sugarcane bagasse are high-fiber biomass materials that can be converted into alternative energy sources like briquettes. The carbonization method is used to create charcoal briquettes, converting raw organic materials into carbon. The produced charcoal is mixed with a adhesive and molded into cylindrical or block shapes. This study aims to determine the characteristics of briquettes with varying compositions of palm fronds and bagasse (50:50 ; 40:60 ; 30:70 ; 20:80 ; 10:90 (b/b)) and different tapioca starch adhesive amounts (40% ; 45% ; 50% ; 55% (v/b)). In this study, tests were conducted on moisture content, ash content, calorific value, and combustion rate. The research findings indicate that the best-quality charcoal briquettes were produced by combining sugarcane bagasse and palm fronds in a 50:50 ratio with a adhesive containing 40% tapioca starch. These briquettes have the following properties: moisture content of 4.4545%, ash content of 4.62021%, combustion rate of 0.2283 g/min, and calorific value of 6,232.67 cal/g. These results indicate that the briquettes made from a mixture of oil palm frond waste and sugarcane bagasse using tapioca starch as a adhesive have met the SNI 01-6235-2000 standard criteria.
Feasibility Of Developing An Augmented Reality (AR) Science Module With Audio Integration Using Assemblr Edu: A Case Study On Matter And Its Changes Arlin Maya Sari; U M Dewi; F Fanita; S B Dwiardi
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.891

Abstract

The study aims to evaluate the feasibility of Augmented Reality (AR)-based science learning media with audio features, using the 4D development model (Define, Design, Develop, Disseminate). The media was developed to facilitate more interactive and immersive science learning through AR visualizations and audio explanations that assist in understanding complex concepts. The development stages include: (1) Define, to analyze the needs and learning objectives; (2) Design, to design AR and audio-based media; (3) Develop, to create the media prototype and conduct feasibility tests through validation by subject matter and media experts; and (4) Disseminate. Data were collected through questionnaires and observations, then analyzed descriptively. The evaluation results show that the learning media was rated as "highly feasible" by experts, particularly in terms of content accuracy, interactivity, and audio quality. With these positive results, the AR and audio-based media is deemed feasible for use in science learning and has the potential to enhance teaching methods in schools.
Improving Improving Efficiency and Accuracy of Quantity Take-Off Through BIM Integration: A Case Study of the D Lecture Hall Building at Malikussaleh University Gigih Prasetia; Sofyan Sofyan; David Sarana; Nura Usrina; Maizuar Maizuar; Fadhliani Fadhliani
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.893

Abstract

Abstract. Quantity Take-Off (QTO) calculation is a crucial step in construction planning to determine material needs with high accuracy. However, traditional methods such as manual calculations often fail to meet accuracy demands, especially in projects with complex designs. This study compares manual methods, Revit, and Clash Detection in generating QTO for the D Lecture Hall building project at Malikussaleh University. The aim of this research is to analyze the quantitative differences between methods and assess which method is the most effective. The research method involves calculating the QTO for structural and architectural elements using the three methods, followed by an analysis of the average differences in results. The findings show that the manual method has an average difference of 35.76% for structural elements and 43.14% for architectural elements when compared to Revit. The difference between manual and Clash Detection is slightly smaller, with 33.09% for structural elements and 42.41% for architectural elements. Conversely, the difference between Revit and Clash Detection is very small, only 1.51% for structural elements and 3.98% for architectural elements. While the QTO results between Revit and Clash Detection are almost identical, Clash Detection offers the additional advantage of validation, ensuring that the design is free from clashes between elements. This study concludes that Clash Detection is the most effective method in generating QTO because it not only provides accurate results but also ensures that the design is ready for implementation without technical errors. By integrating BIM technology, this research offers a more efficient and accurate approach to QTO calculation, serving as a guideline for construction project managers in handling complex designs more effectively. Keywords: Quantity Take-Off (QTO), Clash Detection, Building Information Modeling (BIM).
Stock Prediction Of Single-Use Medicine Using Autoregressive Integrated Moving Average Raisya Kamila; Dahlan Abdullah; Rini Meiyanti
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.894

Abstract

Stock Prediction of Single-Use Medicine Using Autoregressive Integrated Moving Average the(3, 1, 3) model, derived from the (p,q,d) model where p is the AR level, d is the process level that makes the data stationary, and q is the MA level. The (3, 1, 3) model used provides quite good results the ARIMA (3, 1, 3) model can be a good tool to predict the need for consumable drug stocks show that the ARIMA (3, 1, 3) model gives good results,log likelihood values and information criteria indicating that the model is reliable. Predictions for the demand for consumable drugs in 2025 show a downward trend, Requires further attention to understand the causes. health centres can plan drug procurement more precisely and efficiently meet patient needs without experiencing overstocks or shortages.
Science Process Skills Through The Read, Answer, Discuss, Explain And Create (Radec) Learning Model On Science Materials In High School Sirry Alvina; Syarifah Rita Zahara; Ayu Rahmi; Maulida Aufa Rofiki Lubis; Rahmah Nursada
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.896

Abstract

Natural Sciences (IPA) is a science related to nature that is systematically arranged through an investigation. The RADEC model as one of the solutions in the learning process that accommodates students to exchange information obtained and solve a problem. The purpose of this study is to implement the role of RADEC syntax in triggering student expertise in science process abilities (KPS). Increasing KPS requires the application of the RADEC Model to see the significance of increasing the use of the model, the measuring instrument used to measure KPS is a data collection instrument in the form of an observation sheet that has been prepared and then validated constructively (material experts). Sampling was carried out using convenience sampling, class sampling was carried out using a non-random technique which was then tested statistically as a basis for determining classes with the same abilities. The type of research conducted in this study is Pre-Experimental Design research. The posttest score of students' science process skills in the experimental class had the highest score of 96 and the lowest score of 78. While the posttest score in the control class had the highest score of 89 and the lowest score of 72. The average score of students' science process skills in the experimental class was 86 with a high category and in the control class was 80 with a very moderate category. The average score of students' science process skills in the experimental class was 81.66% with a moderate category. Students' science process skills in the Experimental class obtained the highest percentage on the observing indicator of 93.18% and the lowest percentage on the making a hypothesis indicator of 75.00%. Students' science process skills in the Control class obtained the highest percentage on the observing indicator of 86.36% and the lowest percentage on the making a hypothesis indicator of 61.36%.

Page 9 of 14 | Total Record : 134

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