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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 57 Documents
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MODEL DECISION ANALYSIS IN DETERMINING BUILDING QUALITY BASED ON THE ANALYTICAL HIERARCHY PROCESS Burhanuddin Burhanuddin; Emi Maulani; Veri Ilhadi
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.v3i1.424

Abstract

Building infrastructure consisting of several types of alternatives that provide the need for selection of various kinds of assessments for ranking in carrying out repairs. The purpose of this study is to determine the priority order and condition of building quality, which is useful as a reference in improvement activities related to seeing the satisfaction of policy makers. Problems with building quality can result from various factors, one of which is related to facilities, building repairs and their handling which are feared to affect productivity in assessments and influence policy making. Primary data can be used as research data to be included in the decision model and direct observations can be made at the research location for each building in Dilhokseumawe. This study uses the Analytical Hierarchy Process (AHP) model, to determine the weight of the components obtained from the results of the interest assessment of building components which include the level of building damage, building age, ease of access, building structure, roof structure, building safety level. The results of the analysis show that factors the main consideration is improving the level of building security with a value of 0.297858847, the second ranking is the Building Structure factor with a priority value of 0.257685234%, the third ranking is the Ease of Access factor with a priority value of 0.128154963 and the Fourth is Building Age with a value of 0.076683671%. Finally the Roof Structure with a priority value of 0.072065172%. The results of this study can be used as recommendations for decision making in view of the quality of buildings and buildings.
CLASSIFICATION OF COLOR BLIND STUDENTS AT SMA NEGERI 1 LHOKSEUMAWE USING NAÏVE BAYES ALGORITHM Rozzi Kesuma Dinata; Maryana; Sujacka Retno; Gadis Ayu Sofiana
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.v3i1.425

Abstract

This research aims to classify students and determine eye conditions with normal and partial color blindness by using Naïve Bayes algorithm. The research dataset was obtained from students at SMA Negeri 1 Lhokseumawe. The variables used in this research were 24 Plate Ishihara Tests with data collection techniques by using interviews, literature studies and questionnaires. Total data in this research are 140 data and divided into 110 training data and 30 testing data. The results showed that from 110 data trained, there were 69 students included in the normal group and 41 students included in the partial group. Then, the 30 testing data were tested into the classification system for color blind students using Naïve Bayes Algorithm. The accuracy level of the test results was 86.67% and 13.33% error.
APPLICATION OF THE FIFO MODEL IN THE DRUG INVENTORY INFORMATION SYSTEM AT THE ASYFA KRUENG MANE PHARMACY Sayed Fachrurrazi; Muthamainnah Muthamainnah; Muhammad Fajar Maulana; Angga Pratama
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.v3i1.427

Abstract

Asyfa Krueng Mane Pharmacy is a business entity engaged in the sale of drugs. The drug supply data processing system that was carried out at the Asyfa Krueng Mane Pharmacy still uses ordinary stationery to process drug supply data so that it is deemed less effective and efficient. Therefore, there is a need for an information system that can be used to assist and support the efficiency of the drug data processing process at the Asyfa Krueng Mane Pharmacy using the FEFO (First First Out) method, which is a method that dispenses drugs with shorter expiry dates than drugs with a later expiry date. long. With the application of the FEFO method in the Asyfa Krueng Mane Pharmacy information system, it is hoped that there will be no more accumulation of drugs and drugs with shorter expiration than drugs with longer expiration can be issued in order. As for the research results, you can see the Asyfa Pharmacy and type of Obt001 and type of Paracetamol and drug stock and date of entry and exit.
ANALYSIS OF NOISE MEASUREMENTS IN THE WORK AREA TO THE OPERATOR'S HEARING IN THE PROCESS DEPARTMENT USING THE WORK SEMPLING METHOD Bakhtiar Bakhtiar; Edi Yusuf; Muhammad Reza Fahlevi
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.v3i1.428

Abstract

PT. Ika Bina Agro Wisesa (IBAS) is one of the palm oil mills on the island of Sumatra, Indonesia. This palm oil factory is located in the village of Guha Uleue, Kuta makmur District, North Aceh District, Aceh province. The problem in this study is to identify and deal with the problems encountered by applying theory and concepts with work and idle calculations carried out using work sampling data on 3 operators in the Drying department. The research was carried out with the work and idle calculation time being carried out for 1 week. All Operators working on the production floor work from 08.00 to 16.00 with breaks from 12.00 to 13.00. The number of minutes from 08.00-12.00 and 13.00-16.00 means the total population in this study is 84. The purpose of this study is to analyze the measurement of noise in employees as seen from the effect of noise. The effect of noise will later be used to determine what is the influence of noise by each employee to complete his work in the process department. As for the results of this study there is an analysis of noise measurements using a Sound Level Meter (SLM) which has a noise level between 81.3 dB(A) to 88.9 dB(A). then PT. Ika Bina Agro Wisesa has a hearing protection program contained in the HSE Code of Practice-00612. The results of the study of measuring noise intensity 8 working hours for the operator position on Personal Noise Level dB (A) boiler 84.4, Personal Noise Level dB (A) polishing drum is 81.3, Personal Noise Level dB (A) ripple mill 88.9 and finally Personal Noise Level dB (a) The sterilizer is 67.7. this is in line with the Decree of the Minister of Manpower and Transmigration No. 13 of 2011 and the Decree of the Minister of Energy and Mineral Resources of the Republic of Indonesia No. 1827 of 2018 which is used to analyze and control noise in the processing plant area.
DISINFECTAN STERILIZATION ROOM TO PREVENT MICROCONTROLLER BASED COVID-19 Vidy Vidy; Muhammad Safii
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.v2i2.570

Abstract

Microcontroller-based Disinfectant Room is a tool that functions for self-sterilization from the Covid-19 virus. This covid-19 outbreak has been rampant in Indonesia since the end of 2019, to prevent the spread of the covid-19 virus in every region in Indonesia, check the temperature, wash hands, and spraying disinfectant liquid. There are still many areas that still use manual spraying of disinfectant liquid, so a tool is needed that aims to facilitate the automatic self-sterilization process. This tool aims to create a disinfectant chamber tool that uses an ultrasonic sensor as an object detector and an Arduino Uno as a controller. The output used in this study is a relay module that is connected to a 12V DC water pump that will spray disinfectant liquid through a mist nozzle. This tool is effective in detecting objects with a distance of 80 cm – 170 cm in front of the sensor.
DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR STRATEGIC BUSINESS LOCATION SELECTION USING MOORA METHOD Riski Zulkarnain; Mundzir, Mundzir; Sri Winar
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.v2i1.590

Abstract

The key to launching a successful business is securing a strategic location, as optimal results hinge on this crucial factor. Today, there are numerous potential business locations available, such as areas currently undergoing development or residential complexes in proximity to major highways. Considering these factors empowers businesses to make well-informed decisions about whether a particular location is truly strategic for their ventures. When business owners make location-related decisions, they must carefully assess several aspects, such as the size and dimensions of the building, the presence of competitors nearby, and the rental or selling prices. By evaluating these criteria, businesses can identify strategic locations and minimize the risks of potential losses when establishing their operations. Acquiring a strategic business location yields numerous advantages and significantly reduces startup losses. To achieve this, the research presented in this journal employs the MOORA (Multi-Objective Optimization on The Base Method of Ratio Analysis) research method, which serves as both a means to determine strategic business locations and a strategy for enhancing overall business performance.
THE UTILIZATION OF COMPLEX PROPORTIONAL ASSESSMENT (COPRAS) IN DETERMINING THE SELECTION OF THE BEST SPEAKER Muhammad Rafli Nur Alam; Richki Hardi; Sumardi Sumardi
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.v2i1.629

Abstract

Decision-making in choosing the appropriate sound system involves numerous considerations to achieve acceptable outcomes or quality. There are many critical factors influencing the selection of speaker models, such as the required program features, brand, design, power, and price. In this study, we introduce the Complex Proportional Assessment (COPRAS) method as a solution for making effective and high-quality decisions when selecting the best alternatives based on predefined criteria. The COPRAS method is employed to analyze various different alternatives and estimate their utility values. The case study presented in this research involves identifying the best alternatives according to the criteria within the context of sound systems. The COPRAS method aids in evaluating alternatives by taking into account the relative weights of each relevant attribute. Consequently, the use of the COPRAS method in selecting the best sound system has proven to be effective and beneficial. This method assists in addressing complexity, enhancing objectivity, and yielding more informative and accurate decisions.
PLANNING AND INFORMATION SYSTEM DEVELOPMENT STRATEGY USING THE WARD AND PEPPARD METHOD (A CASE STUDY OF CV XYZ) Ahmad Alfi Adianur Giansyah; Sumardi Sumardi; Mundzir Mundzir; Linda Fauziyah Ariyani
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.v2i2.630

Abstract

To remain competitive globally, businesses must adapt dynamically to changing trends. In response, the necessary action is to implement the use of information technology. While CV XYZ currently has an information system in place, only certain parts of the organization have adopted it, leaving others untouched. Data was gathered through interviews and observations to assess the business environment and the company's information system environment. This research employs the Ward and Peppard method, which includes SWOT analysis, Value Chain analysis, Porter's Five Forces analysis, and McFarlan's Strategic Grid analysis. The study provides strategic recommendations and examines the internal environment, the company's external information systems, and proposed information systems such as HRD information system, After Service information system, Supplier information system, customer service information system, administration information system, and promotion information system. In the McFarlan Strategic Grid mapping, all of these are deemed a priority and feasible for implementation.
DESIGN AND DESIGN OF A REAL-TIME KWH ELECTRICITY MONITORING SYSTEM BASED ON INTERNET OF THINGS IN SOLAR POWER PLANT Hadiyanto Hadiyanto; Syahruddin Syahruddin; Ali Abrar
Multica Science and Technology Vol 3 No 2 (2023): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v3i2.763

Abstract

Monitoring electrical energy in the residential sector is necessary because the current use of electrical energy is less effective and is used very excessively and consumes more electrical power. So far, electrical power usage can only be seen through a kWh meter and only shows the cumulative amount of electrical energy used. However, the design limitations of analog panels only display aggregate consumption data, not real-time consumption data and allow direct monitoring in the field as well as manual recording, so more power is required and the process takes a long time. This research aims to design a real-time measurement system that is capable of monitoring electrical energy parameters for buildings in the residential sector for solar cell-based plants, so that consumers can monitor electricity consumption in real time via the internet. The research methodology is an experiment carried out using the monitoring system design method. Through a research scheme, collaboration with industry is proposed for 1 year with the first stage being hardware design, second being software programming. Hardware and software are connected so that the information presented can be accessed directly at that time. This device is designed to replace manual and conventional electrical energy measurement systems. The research results that will be obtained are a design for a real-time electrical power consumption monitoring system in the housing sector. The output is information on electrical energy consumption through off-line and on-line application media which is displayed on a desktop application on a computer, where the data delivery system is via communication
Determining the Quality of Earthquake Resistant House Buildings Using Simple Additive Weighting (Saw) and Technique For Order Of Preference By Similarity To Ideal Solution (Topsis) Burhanuddin Burhanuddin; Bakhtiar; Emi Maulani; Edi Yusuf
Multica Science and Technology Vol 4 No 1 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i1.850

Abstract

This research aims to evaluate the quality of house buildings using the Simple Additive Weighting (SAW) model and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This research uses six main criteria to assess building quality: Material strength, structural design, foundation, construction technology, construction quality, construction costs. With these six variables in determining the evaluation of house building materials. Determining the final ranking of these alternatives is based on their proximity to the ideal solution. Type A House, Type B House, Type C House, Type D House, Type E House and the weight value for each house C1 = 0.2; C2 = 0.1 ; C3 = 0.15 ; C = 0.20 ; C = 0.15; C = 0.2%. The ranking results for Type A Houses were 0.871, Type B Houses 0.874, Type C Houses 0.813, Type D Houses 0.976 and Type E Houses 0.959. The largest value is in Type D House 0.976 so the alternative Type D House 0.976 is the alternative chosen as the best alternative. Meanwhile, the ranking results for the topsis model for Type A Houses are 0.5423, Type B Houses are 0.5302, Type C Houses are 0.2709, Type D Houses are 0.8515 and Type E Houses are 0.959. The largest value is for Type D House 0.976 so that the Type E House alternative 0.8227 is the alternative chosen as the best alternative for Type E house. The research results show that the combination of the SAW and TOPSIS methods is effective in providing a comprehensive and objective evaluation of the quality of earthquake resistant house buildings. . The results of this research can be applied practically in the construction industry to improve the quality of earthquake-resistant house buildings, helping make more accurate and objective decisions.

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