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Richki Hardi
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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 6 Documents
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Search results for , issue "Vol 1 No 2 (2021): Multica Science and Technology" : 6 Documents clear
The SCAFFOLDING AND INVESTIGATION OF THINKING TO CALCULUS PROJECT IN PROJECT BASED LEARNING (PBL) ACTIVITIES Zaini, Zaini
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.v1i2.229

Abstract

PBL adoption is increasingly widespread and recognized for various disciplines in higher education and in basic education has made a trend in learning innovation today. PBL provides individual freedom to find, utilize, build knowledge through experience in the form of project completion. The characteristics of the project used are the existence of investigations that give students the freedom to change and build knowledge. The investigation took place every day in a row from the student team (2 people) for 4 days for the given calculus project. The results of project completion investigations were delivered through team presentations, discussions, interviews with lecturers, and the provision of scaffolding by lecturers.Investigation which success include combination, definition of maclaurin series, tribe and series and derivative function which support project finishing, describing material supporting of project through example,verification binomial theorem, identification to 30 tribes maclaurin series/binomial series and approach value through tool of conting/ software(excel,calculator,geogebra) Scaffolding thinks incompatibility occurs in understanding and interpretation of combination notation, thought theorem, and implementation in calculations. Researcher's discovery that students are very active in building knowledge and exploring their experiences, as well as building openness in teams and instructors.
MARKET BASKET ANALYSIS METHOD ON SALES DATA USING FP-GROWTH ALGORITHM Marcelino Irawan, Kenny; Tri Wulansari, Tina; Wanti Wulan Sari, Nariza
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.v1i2.239

Abstract

Product promotion is a way for business owners to increase sales of existing goods. Business owners could use association rules as a consideration of product promotion policies. Determination of association rules can be determined using the market basket analysis method with the fp-growth algorithm. From the research, there are 248 association rules for goods that are often purchased simultaneously with minimum support of 0.01 and minimum confidence of 0.1. Of the 248 rules, there are seven rules that have a confidence value of more than 0.5. Of the seven rules, flour appeared five times, and the cake mat and cake box had the highest confidence value of 0.62 and a lift of 5.54. Therefore, we recommend shop owners to place wheat flour on the main display close to items often purchased together, such as sweetened condensed milk, sugar, powdered margarine, and margarine. In addition, shop owners can also promote bundling cake boxes and cake mats.
ANDROID PLATFORM OVERVIEW: M-LEARNING APPLICATION FOR COLLEGE EDUCATION Kamal, Taufiq; Hamdan Irfan Wijaya; Andika Yuma Nuruz Zaman
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.v1i2.276

Abstract

On average, students of the Yogyakarta Nahdlatul Ulama University (UNU Yogyakarta) have difficulty accessing course materials and self-assessments from e-learning platforms without the internet. The author uses a qualitative method by using observation to get direct information about access to course material from the e-learning platform. The mobile learning (m-learning) application prototype was developed through the android platform using the Java programming language. As a result, the use of m-learning can be one of the best modules of mixed learning techniques. The author recommends that UNU Yogyakarta integrate it with their e-learning platform. This m-learning application intends to complement the e-learning system and make students whenever and wherever they want to gain knowledge without the internet via an android phone. Future researchers can connect the m-learning application and other aspects of the e-learning platform.
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%.

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