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HENGKI TAMANDO
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INDONESIA
Journal Basic Science and Technology
Published by Institute of Computer Science
ISSN : 20898185     EISSN : 28081498     DOI : https://doi.org/10.35335/jbst
Core Subject : Science, Engineering,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Materials Science & Nanotechnology Mechanical Engineering
This journal is devoted to identifying, mapping, understanding, and interpreting new trends and patterns in the development of science & technology especially in developing countries in this world. The journal endeavors to highlight science & technology development from different perspectives. The aim is to promote broader dissemination of the results of scholarly endeavors into a broader subject of knowledge and practices and to establish an effective means of communication among academic and research institutions, policymakers, government agencies, and persons concerned with the complex issue of science & technology development
Arjuna Subject : Umum - Umum
Articles 83 Documents
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Teacher Performance Assessment Decision Support System Using Topsis Method Yogi Kurnia
Journal Basic Science and Technology Vol 9 No 3 (2020): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

Decision Support System is a means of assisting in making decisions accurately, and quickly. In the Decision Support System, several methods can be applied including the TOPSIS method. The TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) method is a multi-criteria decision-making method or alternative choice which is the alternative that has the smallest distance from the positive ideal solution and the largest distance from the negative ideal solution from a geometric point of view using Euclidean distance. The results of the TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) method based on data and criteria determined by the Deli Serdang Education Office, an assessment was made of teacher performance at SD Negeri 105336 Rantau Panjang. So that it can help the Head of SD Negeri 105336 Rantau Panjang in assessing teacher performance.
Flexible Supply Chain Network Design For CPO Derivatives Andreasen Provicnius Chaidir
Journal Basic Science and Technology Vol 9 No 3 (2020): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

The crude palm oil (CPO) industry is one of the leading industrial sectors in Indonesia. The diversification of derivative products from the CPO refinery is very high (multi-product). The challenges of inefficiency in the distribution network of refined CPO products include multi-product, transportation distances, transportation costs, uncertainty in the supply chain, and traceability of products sent, volatile demand and having to adjust production volumes without incurring significant costs. actors and is a challenge that researchers also face. Therefore supply chain flexibility is a problem that arises in practice. The purpose of this research is to design a flexible supply chain network of CPO refinery products. Metaheuristic algorithm Genetic Algorithm (GA) is used in solving optimization challenges. Distribution network system entities are analyzed and then made into a mathematical form of Mixed Integer Linear Programming. Furthermore, the model was built with the help of the GA algorithm which was developed in the Java programming language using the MOEA Framework. The verification and validation of the model was carried out with a case study in the CPO refinery industry. The optimization results are evaluated for twelve periods to see the flexibility of the supply chain network design model that has been made the minimum cost for twelve simulation periods is Rp. 636,675,671 in the 9th period and the flexibility of the model for twelve periods is considered flexible because the model is able to meet demand with network utility above 100% in 8 simulation periods.
Factory Layout Redesign With Lean Manufacturing And Simulated Annealing Algorithm At PT. XYZ Tengku Putri A
Journal Basic Science and Technology Vol 9 No 3 (2020): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

PT. XYZ is a manufacturing company in the field of wood processing that produces furniture products and raw materials for rambung. On the production floor of PT. XYZ there is a buildup of materials during the production process. This stacking process does not add value. This results in delays for the next process or can be called waste of delay. Another problem is the backflow of material transfer (backtracking) where the movement of the material flow through several stations affects the completion of the product. In solving these problems, a lean manufacturing approach is used to identify and reduce activities that do not add value during the production process and shorten lead times. The simulated annealing algorithm method is used to fix the backflow problem on the layout of the production floor at PT. XYZ. The results showed that there was a decrease in the displacement moment of 43.44%, an increase in production capacity with an actual process cycle efficiency of 44.98% with an average production of 48 units/day and a proposed process cycle efficiency of 63.91% with an average production - an average of 63 units / day after repairs with lean manufacturing.
Expert System for Diagnosing Chicken Diseases using Bayes' Theorem Monica Agriani Br. Simatupang
Journal Basic Science and Technology Vol 9 No 3 (2020): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

Chicken disease is a condition in which the organs of the chicken farm cannot function normally. To make a diagnosis of the disease requires further examination carried out by specialists (experts). An expert system is a system that uses human knowledge entered into a computer to solve problems that are usually solved by experts. The system created in solving the problem uses the Bayes theorem method where the inference process uses Forward Chaining. The application was developed using the Visual Basic 2010 programming language and MySQL database.
Design of a Decision Support System for Performance Appraisal of Civil Servants with a Fuzzy Multi Attribute Decision Making Model M. Syahputra
Journal Basic Science and Technology Vol 9 No 3 (2020): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

In accordance with the regulations that have been determined by the office to obtain a promotion, criteria are needed to determine who will be elected to receive a promotion. Promotions are carried out with the aim of providing feedback on the performance produced by a civil servant during a certain period. To help determine the application of someone who deserves to be promoted to a Decision Support System, the Fuzzy Multi Attribute Decision Making (FMADM) model is used. In this study, a case was raised, namely looking for the best alternative based on predetermined criteria using the Simple Additive Weighting (SAW) method to calculate the FMADM model in this case. The fuzzy used uses a fuzzy system rule, namely fuzzification, inference and defuzzification. The FMADM model was chosen because it is able to select the best alternative from a number of alternatives, namely those who have the right to choose employees to be promoted to their positions according to the specified criteria. The research was conducted by finding the weight value for each attribute, then a ranking process was carried out which would determine the optimal alternative, namely the best civil servant.
Meme Sentiment Analysis Classification With Optical Character Recognitin (OCR) Method And Naïve Bayes Algorithm Haisar, Fikri
Journal Basic Science and Technology Vol 10 No 1 (2021): February: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

Memes generally in the form of images that are the result of the production of people who are used to comment on an event followed by certain templates from popular online images. The spread of memes has become phenomenal and has become very popular in recent years, ranging from lightly charged memes such as memes about jokes, meme quotes to memes with heavy content such as memes about government, education, and the latest news. So that a system is made that can classify types of memes into negative or positive memes by applying the image process and OCR Tesseract combined with the Naive Bayes algorithm. OCR Tesseract is needed to recognize text contained in an image, while the Naive Bayes Algorithm is an algorithm used to find the highest probability value to classify the test data in the most appropriate category. In this study, the test data are meme documents. The results obtained from this application are the level of accuracy of meme classification analyzed is 73.3% from 15 test data and the average classification process time is 1.328 ms. Memes that have been classified for accuracy value depend on the results of OCR using the tesseract engine
Expert System for Identification of Diseases of Toddlers using Bayes' Theorem Method Sandi Manalu
Journal Basic Science and Technology Vol 10 No 1 (2021): February: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

The disease is very susceptible to occur in children under five because the immune system in children under five has not been fully developed. Lack of knowledge about toddlers' illnesses as well as the symptoms experienced frighten parents. Information needs that are very fast from an expert to deal with problems or diseases of children under five expected by parents or the community. So that is what drives the development of a software application, namely the expert system for identification of children under five. An expert system for identification of toddlers is made as a tool to diagnose diseases experienced by children under five by using the symptoms experienced by children under five as a tool to detect diseases experienced by children under five. The system can identify 5 types of diseases with 23 symptoms of the disease. This expert system uses methods for developing problem identification, system design, implementation, and testing. Inference in this expert system uses the Bayes theorem method. This system is built with Visual Basic and Microsoft access as the database. The results of the consultation with this system indicate that the system is able to determine the disease and treatment solutions and the initial treatment that must be done, based on the symptoms previously chosen by the user.
Simulation Of Combined Air-Ground And Solar Heat Exchange System In The Test Room Using CFD Bastian Resta Pinem
Journal Basic Science and Technology Vol 10 No 1 (2021): February: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

In terms of increasing comfort in a room, a lot of research done to create a system that can make the room feel comfortable without having to waste a lot of energy. The energy savings of today are the main priorities due to the limited availability of energy and the unlimited need for energy. The use of air conditioning in terms of increasing comfort in the room, besides wasting much energy, the other side effects of using air conditioning is also create a greenhouse effect for the earth. This research was done to create a couple system between earth air heat exchanger to cool the air in the room and solar chimney which has the role of generating room air ventilation. The main purpose of this research is to create a system that can be used to create a comfortable room without using energy. The simulation of this research using Ansys 19.0 : student version, simulation is done separately with transient method and active radiation function in models. The size of the test room 2 mx 2m x 2m, high solar chimney 5 m, diameter 0.3 m, and 1mm thick, the size of earth air heat exchanger along 26.5 m, diameter 4” and with thickness 3mm. In the simulation result, the system succeeded in decreasing the room temperature up to 27.883oC at simulation and 25.2653 oC on the experimental result whereas in the earth air heat exchanger the outlet temperature was 26.33 oC at simulation, and 27.3507 oC on the experimental results. diameter 4” and with thickness 3mm. In the simulation result, the system succeeded in decreasing the room temperature up to 27.883oC at simulation and 25.2653 oC on the experimental result whereas in the earth air heat exchanger the outlet temperature was 26.33 oC at simulation, and 27.3507 oC on the experimental results. diameter 4” and with thickness 3mm. In the simulation result, the system succeeded in decreasing the room temperature up to 27.883oC at simulation and 25.2653 oC on the experimental result whereas in the earth air heat exchanger the outlet temperature was 26.33 oC at simulation, and 27.3507 oC on the experimental results.
Determination Of Workload And Number Of Optimal Workers For The Boiler Section Based On Pulse Rate And Working Sampling (Case Study : PT. Perkebunan Nusantara II PKS Pagar Merbau) Dewi Paramita Sari
Journal Basic Science and Technology Vol 10 No 1 (2021): February: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

PT XYZ is the company used as the place of this research which is engaged in the production of Crude Palm Oil (CPO) and palm seeds (kernel). This company has a power plant station that uses a boiler that is useful for producing wet steam pressure which will be used for the production process of palm oil into CPO. The research was conducted on the boiler which has 4 workers. This research was conducted for 6 working days with a length of observation for 5 hours per day and the data taken was the pulse of workers before starting work and after finishing work as well as observation of work sampling with a total of 45 observations of data for each worker in one working day. The results of the calculation of cardiovascular load (%CVL) for all workers are in the interval 30% - < 60% with a physical workload category requires repair, and the productive percentage of all boiler workers is above 90%, and the one who has the largest productive percentage is worker 2, which is 97%. The optimal number of workers required by the boiler section at PT XYZ is 5 people so that the workload received by workers is reduced.
Factors Analysis Of Failure And Reliability Of Electric Functions In Steel Production Processes Using FMEA, FTA, RCA And RBD At PT. Growth Sumatra Industry Medan-North Sumatera Hendra Saputra Banjarnahor
Journal Basic Science and Technology Vol 10 No 1 (2021): February: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

When a machine has a high failure rate, it is necessary to analyze the causes of the failure to the root of the problem so as to determine the appropriate action to improve the performance of a machine.PT Growth Sumatra Industry is a company engaged in steelmaking industry.In the steelmaking line required electric arc furnace machine, continuous casting and rolling mill.The purpose of this research is to identify the factors causing failure and reliability analysis of electric arc furnace using Failure Mode and Effect Analysis (FMEA) method, Fault Tree Analysis (FTA), Root Cause Analysis (RCA) and Reliability Block Diagram (RBD). The application of FMEA analysis can determine the extent to which failure rates occur. Then proceed with the FTA to find out more about the underlying causes of a failure. Then use RCA to find out the real problem that is the main cause of the high loss by making a fishbone diagram. And the latter determines the value of system reliability by using RBD based on trace failure. The object of this research is electric arc furnace machine. Data retrieval was obtained with interview result and maintenance record conducted by company. The data obtained is then analyzed descriptively ie retrieval of data maintenance from the company, the results of data processing included in the table , and displayed in graphical form. The result of the research was obtained by FMEA method obtained RPN value on each of the highest component that is furnace shell body with value reach 180. Then analysis using FTA method got the probability value of system failure period of January 2016 - December 2016 reached 36.94%.

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