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Multica Science and Technology
Published by Universitas Mulia
ISSN : -     EISSN : 27762386     DOI : https://doi.org/10.47002/mst.v1i1
Core Subject : Science,
Computer Science & IT Energy Library & Information Science Physics
Focus and Scope The journal covers all aspects of science and technology, that is: Science: Bioscience & Biotechnology; Chemistry; Food Technology; Applied Biosciences and Bioengineering; Environmental; Health Science; Mathematics; Statistics; Applied Physics; Biology; Pharmaceutical Science; etc. 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; Cloud Computing; Internet of Thing; Robotics; Computer Hardware; 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 57 Documents
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MOTOR CONTROLLER ARDUINO BASED 3 (THREE) PHASE Hadiyanto Hadiyanto
Multica Science and Technology Vol 1 No 2 (2021): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v1i2.279

Abstract

Electrical machinery plays a very important in industry and in everyday life hari. Exsitasi or starting a means used by man to ignite and drive the electrical machinery. The way or starting exsitasi electrical machines taken by man to get a good efficiency power efficiency and torque efficiency. Thus it takes a piece of equipment that is capable of performing exsitasi electrical machines with a small power with big torque. Inverter or more commonly known as VSD (Variable Speed Drive) is one option which is used in making exsitasi or starting the electric machines. The inverter is able to perform exsitasi electric machines both single phase and 3 phase with prefix absorbs very little power and have very besar.Contoller torque inverter done so fine that almost did not happen rebound flow and speed that can cause damage to the machines The electricity nor the couple or connecting circuits. In the world of industrial inverter controlled semi-automated and automated by the semi-automatic circuit. Automatic performed by a series of contactors and relays, while the control is automatically done by the PLC (Programmable Logic Control). Arduino can be used as a substitute for controlling performed by contactors, relays and PLC. Arduino able to control the start-stop, round forward and reverse rotation and control the motor rotation speed can be displayed in the display LCD (Liquid Cristal Display)
APPLICATION AND ATTRIBUTE ANALYSIS IN THE MODEL OF CLASSIFYING HEART DISEASE Rosdiana Rosdiana; Vera Novalia; Hafizh Al Kautsar Aidilof; Muhammad Danil; Muhammad Ikhsanul Fikri
Multica Science and Technology Vol 1 No 2 (2021): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v1i2.280

Abstract

The heart is the central center in the human circulatory system. A malfunction of the heart that is not functioning is a condition in which the heart cannot carry out its duties properly. Selection of features that can reduce a very large dataset and in a data set that is not suitable can use a reduction model. The classification process is strongly influenced by an attribute. Various types of inappropriate redundancy have a negative effect on classification accuracy. Heart disease data was taken from the UCI Machine Learning Repository dataset. In this study, the researchers used the K-Nearest Neighbor (KNN) algorithm where the K-Nearest Neighbor algorithm can classify the results of heart disease accurately. The results are as follows 1.67358 rank one 1.33949 rank two, 1.27260 rank three, 1.2528 rank four, 1.24193 rank last
APPLICATION OF CLUSTERING GROUPS IN DETERMINING LAND SUITABILITY Angga Pratama; Salamah Salamah; Mutammimul Ula; Nadya Hayana
Multica Science and Technology Vol 1 No 2 (2021): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v1i2.281

Abstract

The problem of the suitability of planting land for planting types of plants is still a lot of unresolved farmers. land at the beginning of land selection is very decisive. This is to determine whether the land is productive or not. in the future is the result that farmers will experience considerable losses if this is not estimated, therefore a model is needed to know and estimate accurately whether the land or land is suitable for planting crops or not. The purpose of this study is that farmers do not experience losses and losses on land when planting crops on available land. So that it can improve the quality of food in Aceh and can improve the welfare of farmers. The result of the research is that it can be found a Clustering model or grouping of plant stock types using the k-medoid model, finally the application of this clustering model is able to provide a solution for the Office. Based on calculations using the K-Medoids method obtained for land compliance in North Aceh Regency is Corn with an adjustment of 53.6%, Peanuts 17.9%, Soybeans 14.3%, Bulbs 10.7% and the suitability for rice is 3 ,6%.
APPLICATION OF INTELLIGENT SYSTEM WITH BACKPROPAGATION MODEL IN CLOUD IMAGE CLASSIFICATION Mulyadi Mulyadi; Ichwan, Muhammad; Rizka, Muhammad; Ula, Mutammimul
Multica Science and Technology Vol 2 No 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.323

Abstract

The clouds have different patterns on each type and each type has different properties. The introduction of the type, shape, and nature of the cloud is indispensable in the weather forecasts so that the clouds can be classified. There are several methods used in the image classification process that is the method of the artificial neural network Backpropagation. The method of Backpropagation is one of the methods used for the classification process, in this research Backpropagation used on the training and testing process for the introduction of cloud imagery aimed at determining the type of cloud, before the second These stages are carried out imagery through the preprocessing process. From the training conducted using the Backpropagation method shows that this method generates the best weight value and saves that value into the database to do the testing process using a neural network Backpropagation. In addition, Backpropagation also has the ability to reduce errors by continuously correcting the weight until reaching the maximum target. Data used for training data as many as 92 cloud type image with each type of 10 imagery. In this study obtained a system success rate of 60.6%.
IMPLEMENTATION OF MACHINE LEARNING USING THE K-NEAREST NEIGHBOR CLASSIFICATION MODEL IN DIAGNOSING MALNUTRITION IN CHILDREN Mutammimul Ula; Ananda Faridhatul Ulva; Ilham Saputra; Mauliza Mauliza; Ivan Maulana
Multica Science and Technology Vol 2 No 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.326

Abstract

The problem faced today is the lack of nutrition for children which causes stunting. One way to prevent stunting problems is to provide input to the community in Aceh for the importance of providing adequate nutrition for children. This study classifies toddlers who are identified as stunting with the K-NN model technology which is modeled in machine learning, the results are grouped. The purpose of this study was to determine the detection of malnutrition in toddlers and to classify data on malnutrition in toddlers using the k-means clustering method and the system that was built could be used as a reference to monitor the growth and development of children. Then in classifying malnutrition in children based on the results of the nutritional status criteria in toddlers, it can be known based on the index of Body Weight for Age (W/U), Height for Age (TB/U), and Weight for Height (W/TB). by entering data values ​​from weight, height and gender of toddlers. The purpose of this study was to determine the detection of malnutrition under five at the Cut Meutia Hospital Kab. North Aceh. The process in the initial data analysis of Mr. ID, baby's name, gender, age, weight (kg), height (cm), the data to be classified for training data are 40 children in each region / village. In the assessment of nutritional status, it is classified as Malnutrition less than 3 SD or 70%, Malnutrition - 3 SD to < - 2 SD or 80%, Good Nutrition -2 SD to +2 SD, Over Nutrition >+2 SD. The results of the final score obtained are euclidean distance with a value of 1.3 with a ranking of malnutrition, age 1.6 months, weight (weight) 0.852, TB (height) 4.556 with euclidean distance with a value of 1.3 with a low ranking. For the second test data, age is 2.8 months, BB (weight) 0.222, TB (height) 4.556 with Euclidean distance with a value of 1.3 with a good rating of 0.778. The results of this study can be classified in children to children for each region in each region, village and sub-district of each Puskesmas in North Aceh Regency
THE EFFECT OF FIELD WORK PRACTICES ON WORK INTEREST OF CLASS XII STUDENTS OF ACCESS NETWORK ENGINEERING SKILLS COMPETENCE AT SMK NEGERI 5 TELKOM BANDA ACEH Husnizar Husnizar; Fathiah, Fathiah; Agus Fachruzi
Multica Science and Technology Vol 2 No 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.327

Abstract

Education is a foundation for improving the quality of human resources. Quality education will be able to produce superior human resources from every aspect of life. One of the educations that is responsible for creating quality human resources is Vocational High School (SMK) education. Vocational learning load includes Face-to-face (TM) School Practice (PS) activities and Practical Activities in DU/DI. Field work practices can train and support the skills that students have learned while at school, so that they can be developed in the world of work. But apart from that, there are some SMKs that pay less attention to the implementation of the field work practice. The discrepancy between the material studied at school and what is faced by students in DU/DI. This study aims to determine how much influence field work practices have on the work interest of class XII students of Access Network Engineering Skills Competence at SMK Negeri 5 Telkom Banda Aceh. This study uses a quantitative approach with the method used is Ex Post Facto. The subjects of this study were 48 students of the Access Network Engineering Department. The instrument used is a questionnaire. The results of this study indicate that there is a positive influence between field work practices and work interest of class XII students of Access Network Engineering expertise competence at SMKN 5 Telkom Banda Aceh by 39.8%, while 60.2% is influenced by other factors. This study uses a quantitative approach with the method used is Ex Post Facto. The subjects of this study were 48 students of the Access Network Engineering Department. The instrument used is a questionnaire. The results of this study indicate that there is a positive influence between field work practices and work interest of class XII students of Access Network Engineering expertise competence at SMKN 5 Telkom Banda Aceh by 39.8%, while 60.2% is influenced by other factors. This study uses a quantitative approach with the method used is Ex Post Facto. The subjects of this study were 48 students of the Access Network Engineering Department. The instrument used is a questionnaire. The results of this study indicate that there is a positive influence between field work practices and work interest of class XII students of Access Network Engineering expertise competence at SMKN 5 Telkom Banda Aceh by 39.8%, while 60.2% is influenced by other factors.
FRUIT IMAGE CLASSIFICATION USING DEEP LEARNING ALGORITHM: SYSTEMATIC LITERATURE REVIEW (SLR) Mirwansyah, Dedy; Arief Wibowo
Multica Science and Technology Vol 2 No 2 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i2.356

Abstract

Systematic literature review (SLR) research studies various classification models with deep learning algorithms on fruit with digital images. In recent years, computer vision and processing techniques are increasingly useful in the fruit industry, especially for quality and color inspection, sizing, and shape sorting applications. Research in this area demonstrates the feasibility of using a machine computer vision system to improve product quality. Utilizing deep learning in the field of image processing or digital image processing, Image Processing is used to assist humans in recognizing and/or classifying objects quickly, and precisely, and can process large amounts of data simultaneously. Classifying fruit through a computerized system using deep learning algorithms with CNN, MASK-RCNN, FASTER-RCNN, and SSD models. Developed on the multilayer perceptron (MLP) layer, the algorithm is processed into two-dimensional data, to the image and is capable of classifying images with larger classes.
APPLICATION OF MACHINE LEARNING IN PREDICTING CHILDREN'S NUTRITIONAL STATUS WITH MULTIPLE LINEAR REGRESSION MODELS Mutammimul Ula; Ananda Faridhatul Ulva; Mauliza; Muhammad Abdullah Ali; Yumna Rilasmi Said
Multica Science and Technology Vol 2 No 2 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i2.363

Abstract

Forecasting is an important part of making plans and making decisions that can predict future events. Forecasting techniques in this study used multiple linear regression. This study aims to predict the number of cases of child nutritional status in children in each region. The purpose of this study was to see the results of predicting the number of children's nutritional status in each region and to make it easier to predict children's nutrition. The research method includes the analysis of the system built and the design of machine learning applications using the Multiple Linear Regression method. Then the system built can help predict the nutritional status of children in Aceh quickly, precisely, and accurately. The data used is data on the nutritional status of children in 2018, 2019, and 2020. Based on the results of forecasting for 2021 based on data obtained in previous years, the predicted results of total nutritional status in 2021 are 449,0912126. The results of this study indicate that the linear regression method obtains the best model results by being able to predict the implementation of machine learning.
APPLICATION OF WEB-BASED APRIORI ALGORITHM FOR DRUG INVENTORY AT KHAIRI FARMA PHARMACY ZIDAN, Muhamad Nur Zidan; Rika Ismayanti; Nariza Wanti Wulan Sari
Multica Science and Technology Vol 2 No 2 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i2.365

Abstract

Inventory has a very important role in increasing sales and service to consumers. The purpose of this study was to determine the information and sales patterns in the form of association rules at a certain period that can provide advice to the pharmacy in managing drug inventory. The algorithm used in this study is a priori to determine the results of sales patterns in the form of association rules. Association rules are obtained by implementing an apriori data mining algorithm to a website-based system using laravel and the resulting calculation results are in the form of Drug Association rules purchased simultaneously. With a minimum support value of 2, there are 214 items in 1 – the itemset that passes the minimum support and 9 association rules formed from all transactions of 519 data with a confidence value of more than 30%. From the resulting Association rules, there are Association rules with the highest confidence value of 66.67% in the form of ketotifen and cupanol pairs purchased simultaneously.
LAMP MODIFICATION FROM HPLN TO LED TECHNOLOGY FOR SAVING ELECTRICAL ENERGY IN STREET LIGHTING Rosdiana Rosdiana; Arya Wiyangga Pradana; Muhammad Muhammad; Mutammimul Ula
Multica Science and Technology Vol 3 No 1 (2023): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v3i1.423

Abstract

Energy Efficiency is a business that is carried out with the aim of reducing the amount of energy needed, in using an equipment or even an energy-related system. In its development in the field of lighting, LED (Light Emitting Diode) lamps are now starting to be used as lighting lamps for homes, industries and factories. In Indonesia, the use of LED lamps in lighting is still rarely used, because the price of LED lamps is quite expensive when compared to ordinary lamps. With the saving of electric power through the use of LED lights, the problem of operational costs will be easy to overcome. Indeed, the price of this LED lamp is a little expensive, but with the research on the comparison of the use of this LED lamp with HPL-N type lamps, the industry will consider using this LED lamp with a generally accepted application method to reduce energy expenditure. The previous conditions for Jalan Dolok Merawan used HPLN 250 Watt lamps with a handlebar angle of 24,920 ornaments, the resulting light intensity was 2189 Candela, the intensity of the resulting lighting was 97.94 Lux and has now been changed to make it more optimal to use 120 Watt LED type lights, the height of the pole used is 4 meterss with an ornament handlebar angle of 24.920, light intensity of 1242 Candella, lighting intensity of 55.33 lux. The results of this illumination intensity are in accordance with the standard determined by BSN SNI regarding Collector road class 3-7 Lux. The results achieved after the process of modifying HPL-N lamps to LEDs are that they can reduce the use of electrical energy in the lighting system and achieve efficiency for electric power consumption so that they can provide added value to the company in reducing the company's operational costs.

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