JOURNAL OF DYNAMICS (International Journal of Dynamics in Engineering and Sciences)
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CLASSIFICATION OF NUT TYPES BASED ON SHAPE AND TEXTURE USING K-MEANS CLUSTERING
Nuts is component important in food man who gives nutrition and protein. Identification type peanut based on characteristic his physique can help in the sorting and processing process. In research this, we propose method For classify type nuts based on feature shape and texture use K-Means Clustering algorithm. Image data peanut collected and relevant features extracted. Through implementation of K-Means, we cluster nuts to in cluster based on similarity feature. Experimental results show that approach This own potency application practical in industry agriculture and processing food, as well capable identify pattern characteristics in characteristic physique nuts. This result open road for use analysis image and technique grouping in increase efficiency in production food and agriculture
Nuts , K-Means Clustering, Shape and Texture
Copyright (c) 2023 JOURNAL OF DYNAMICS (International Journal of Dynamics in Engineering and Sciences) https://creativecommons.org/licenses/by/4.0
DETECTION OF ASPHALT ROAD DAMAGE USING THE GRAY LEVEL CO-OCCURENCE MATRIX METHOD
Abstract - This research aims to recognize and classify asphalt road damage based on the level of damage using the Gray Level Co-occurrence Matrix (GLCM) method in image processing. Data on asphalt road damage in Padang City from 2020 to 2022 shows an increase in light damage and a decrease in heavy damage. The GLCM method is used to extract texture features from images of asphalt road damage. The research used eight images of asphalt road damage objects, five with heavy damage and three with light damage. The research results showed that the GLCM method was effective in classifying the level of damage to asphalt roads based on texture characteristics extracted from the images
Asphalt road damage, GLCM, image classification.
IDENTIFICATION OF MANGO FRUIT MATURITY LEVEL BASED ON SHAPE ANALYSIS USING K-MEANS CLUSTERING
Mango fruit is a seasonal fruit, for farmers mango fruit is one of the export commodities for farmers' lives because mango farming can improve their welfare, but there are still many people who have difficulty determining the level of ripeness of mango fruit that is good and good for consumption, given the Identifying this level of ripeness can help farmers separate mangoes that are suitable for consumption, so that people can easily choose, researchers use the k-means clustering method with mango fruit objects based on color, the input image will be processed using an RGB image, then a detection process will be carried out. and converted to a binary image
Identification of,Mangoes,Based on the Form of,K-Means Clustering
VIRTUAL PRIVATE NETWORK (VPN) BASED ON IP SECURITY DESIGN ON TOPOLOGY
One way to maintain and improve the quality of service and security on the organization's network at the West Pasaman Regent Library and Archives Office is to add VPN functionality. Administrators always monitor traffic by accessing routers and access points to determine network status. Sometimes the administrator is on a public network and cannot access the router and access point because the obtained public IP address is dynamic (random). To overcome these problems, the Network Development Life Cycle (NDLC) approach is implemented by combining the L2TP and IPSec VPN protocol system that exists on Mikrotik. A VPN is a private, secure network that uses a public network like the Internet. One of the security foundations of VPN technology is Internet Protocol Security (IPSec). IPSec is a protocol used to secure datagram transmission over TCP/IP networks. This research aims to design and implement a Virtual Private Network (VPN) network system using public networks, which provides advanced security enhancements to the Internet using IPSec
DESIGN AND CONSTRUCTION OF A TOOL FOR DETECTING THE CONSUMPTION OF DATE FRUIT USING THE IMAGE PROCESSING METHOD BASED ON COLOR COMPOSITION AND SHAPE
This journal reviews a fruit that is very popular in Indonesia, especially during Ramadan, namely dates. Dates have a myriad of benefits that not many people know. These dates have very good durability so they are not susceptible to decay. Therefore, in this study, researchers tried to develop an analysis of the feasibility of dates in terms of texture and based on their color using digital image processing. The image of dates was taken with a cellphone camera and processed using visual studio, which was then classified using the Matlab application. Digital image processing uses color features on dates
ANALYSIS OF PREFERENCES AND DETERMINING FACTORS IN CHOOSING A TOURIST DESTINATION A CASE STUDY ON TOURISTS VISITING WEST SUMATRA
Tourism plays a vital role in the economic growth and cultural exploration of a region. This study aims to examine the implementation of the VIKOR method (Multicriteria Decision Making-VlseKriterijumska Optimizacija I Kompromisno Resenje) in analyzing tourist preferences and crucial factors in the selection of tourist destinations in West Sumatra. This research was conducted through a survey with the use of questionnaires to tourists who were visiting various tourist destinations in West Sumatra. The collected data were analyzed qualitatively by considering the dimensions of VIKOR which include value assessment, importance, selection process, order of preference, and response to choices. Aspects such as cultural uniqueness, stunning natural beauty, accessibility of facilities, as well as interaction with local communities, become intrinsic values favored by tourists. The VIKOR method provides an effective approach to unearthing the intrinsic values that shape travelers' preferences
ANALYSIS IN PREDICTING BITCOIN PRICE MOVEMENT ON INDODAX PLATFORM USING ARTIFICIAL INTELIGENT
Rapid technological advances have made many fields change, including the field of digital asset investment, especially crypto. There are many ways for traders and investors to trade Bitcoin which is one of the digital assets in the crypto world. Indodax is a platform made locally in Indonesia that serves digital asset trading transactions. Technical and fundamental analysis is carried out to predict bitcoin price movements, but high volatility makes bitcoin movements difficult to predict. The use of the Reccurrent Neural Network which is part of Machine Learning is one way to be able to make predictions on bitcoin
METAVERSE EDUCATIONAL GAME RECOGNITION OF ANIMAL VOICES IN 3 LANGUAGES FOR CHILDREN'S EDUCATION
The use of technology, especially smart phones, computers and others is growing rapidly in everyday life. There are various reasons why people are interested in using this device, including its lightweight and practical nature [1] . In addition, the available game features not only provide entertainment but also help develop thinking and logical skills. Now technological developments are increasingly driving the emergence of changes in all aspects, one of which is in the field of education where developments can be seen in the use of learning media equipment which is marked by the formation of the concept of educational games which can make learning more interesting and easily accessible, especially for children during important developmental periods. they. A method can refer to a path or a method that must be adopted to reach a certain goalWith an educational game that recognizes the names of animals and their habitat in 3 languages as a learning medium at Pertiwi Sariak Laweh Kindergarten Based on Android, it can be a fun way to learn about animals. With an educational game that recognizes the names of animals and their habitat in 3 languages as a learning medium in Android-based Pertiwi Sariak Laweh Kindergarten can provide information related to animals With an educational game that recognizes the names of animals and their habitat in 3 languages as a learning medium at Pertiwi Sariak Laweh Kindergarten Based on Android, it can overcome game addiction in children so that it becomes a useful activity.
Copyright (c) 2024 JOURNAL OF DYNAMICS (International Journal of Dynamics in Engineering and Sciences) https://creativecommons.org/licenses/by/4.0
DECISION SUPPORT SYSTEMS IN SELECTION OF THE BEST SUPPLIERS AT RETAIL STORE USING SAW METHOD
The development of science and technology in today's modern age is growing so rapidly, the need for a fast, accurate piece of information is needed even more so in the field of commerce. As new productions present a wide range of products, the retail store has more exotic options to provide the product. Each individual characteristic has unique characteristics with its own strengths and weaknesses. It therefore needs to be done a way of determining or choosing effective, efficient continuity. The decision-making system (SPK) is an interactive computer-based system, which helps decision-makers utilize data and models to solve problems that are not structured and semistructured. The simple, equtive method (saw) is one that can be used in solving the problem of multiple attributes of decision making (madm). The simple method of weightriding (saw) is also often known by the term for the weightless count. The basic concept of the saw method is looking for the weightier sum of performance ratings on any alternative to all attributes. (see's method requires the normalizing of a decision matrix (x) to a scale that can be compared with all alternative levels present. According to the saw method of data processing, data deductions based on the category of goods from cigarettes found that supplier A1 in the category of cigarettes was the best with a value of 1.0434, and supplier A4 in the milk category was the best with a value of 0.8575. This would certainly make it easier for a retail store to determine and select the best items for her character needs.
CUSTOMER CLUSTERIZATION AS A SUPPORT OF CUSTOMER RELATIONSHIP MANAGEMENT AT PT. SIP (PRIME INSTALLATION CERTIFICATION) WITH K-MEDOIDS ALGORITHM
This thesis aims to investigate the implementation of customer clustering techniques as a crucial component in developing Customer Relationship Management (CRM) strategies at PT. SIP (Sertifikasi Instalasi Prima). CRM is a highly important approach in managing customer relationships, and customer clustering can aid in understanding different customer behavior patterns. In this study, the K-Medoids algorithm is employed to group customers based on their characteristics and purchasing patterns. The research methodology involves collecting customer data from PT. SIP and processing the data for clustering analysis preparation. The subsequent steps involve applying the K-Medoids algorithm to form homogeneous customer clusters. The clustering results are integrated into the existing CRM strategy, enabling PT. SIP to provide services more effectively tailored to the needs and preferences of each customer group. The findings of this study offer valuable insights into various customer purchasing patterns and preferences. The clustering outcomes assist in identifying the most valuable and potential customer groups, providing a better understanding of how PT. SIP can enhance their interactions and services. By incorporating clustering approaches into the CRM strategy, the company can improve customer retention, enhance customer satisfaction, and optimize overall customer value.
Application Application of Data Security with Encryption Method Using AES Algorithm at PLN Rayon Perawang
Technology continues to develop, especially in the computer field, so it is very necessary to use computer security properly. Security and confidentiality are important aspects of a message, data or information. Encryption is one method of securing documents that maintains the confidentiality and authenticity of documents, and can increase the security aspects of a document or information. Advanced Encryption Standard (AES) is a symmetric algorithm used for encryption with the aim of protecting sensitive data or information using encryption and decryption techniques with key lengths of 128 bits, 192 bits and 256 bits. The results of the encryption web implementation can lock important files with a 128-Bit key. So that the level of vulnerability to data security breaches is getting lower. Which means that encryption using AES is able to overcome the prevention of vulnerabilities in the collapse of important data.
optimization of wifi network placement using the simulation annealing method
As the internet develops,many officesor companies use the internet to facilitate the flow of information communication in it.Network speed is also necessary to assist in completing work, so it need stobe maintained stable. Maintaining afair and equitable network can be done in several ways, one of which is by determiningthe locationofthe accesspointmustbe verygood.Accesspointplacement is necessary to optimize the signal strength received by thetransmittertothereceiver.Theparameterthatinfluencestheperformance ofthe accesspointisthe signal strength value,thisiswhat will be used to determine the coverage area (signal coverage) ofan accesspoint.The strength of the signal receivedby the receiverdoesnotonly dependon thedistance betweenthetransmitterandreceiverbutshowslargevariationsinfadingandshadowingatalocation, also the effect of interference can cause a decrease in the signal received by the receiver,there forethisstudyusesthe Simulated Annealing method with testing Quality of Service (QoS) to solve theseproblems.
Keyword:AccessPoint,Receiver,CoverageArea,QualityofService(QoS), SimulatedAnnealin
OPTIMIZING IT BUSINESS MANAGEMENT USING THE FP-GROWTH ALGORITHM
Expert Computer Store is a store that sells various computer equipment and computer equipment. The problem faced by shop owners is that the bookkeeping of inventory and sales is still done manually, and there is no complete sales data analysis related to the accumulation of goods due to lack of sales and empty goods. Because the business process is carried out manually, the shop owner has difficulty in analyzing what items sell quickly and what items are bought together. This causes store owners to be unable to meet market demand and has an impact on decreasing buyer interest and sales levels. This study uses 23 transaction data of computer equipment sales products as samples. The algorithm used to help stores find customer buying patterns is the FP-Growth Algorithm, so that it can help business owners in managing the number of orders in order to meet market demand. The result of this research is a decision in the procurement of goods at the Expert Computer Store. which can be seen from the frequency pattern of purchasing building materials made by customers.
Design System Information Supply Drugs & Cosmetics With Methods of Supply Chain Management (SCM) On Derma Q Skin Clinic
Derma Q Skin Clinic is one of the beauty clinics in the city of Padang that serves a variety of beauty products and treatments. Derma Q Skin Clinic is one of the most well-known beauty clinics in Padang City. However, Derma Q Skin Clinic still implements a product inventory system with a limited system. As a result, it takes longer time to manage the inventory process and willingness to market the product. For this reason, an inventory system was developed to help provide, market and sell even better products. This system uses the Supply chain Management (SCM) method to manage product inventory and availability and uses the PHP programming language for web development that functions as an Admin. This application uses the PHP programming language to build a Web Admin which is used to manage product data and enter it into a database that is connected to the application. The design stages used include the design of use case diagrams, class diagrams, sequence diagrams, and activity diagrams, and deployment diagrams. The results of this study are after the construction of an information system as a means of supporting product inventory and marketing activities that facilitate and assist marketing and make it easier for Derma Q Skin Clinic to organize and manage products
Utilization of Digital Technology for HRM Management
Currently people's lives are in the grip of the digital era. Almost all aspects of life have changed to become more modern and sophisticated. The modernity of people's lives is marked by an all-digital phenomenon. In the business world, the Covid-19 pandemic has triggered digital initiatives for most business people. In order to continue to excel, entrepreneurs are required not only to be able to reformulate work methods, but also to be able to create values (creating values). By conducting a study of the existence of web-based information systems and competency design, an analysis will be obtained regarding efforts to connect the supply chain of the competitiveness of Indonesia's human resources in utilizing web-based information technology. The experience of other third world countries (India, China, Korea for example) in the IT industry strengthens our belief that the IT industry is the hope that is still lagging behind for the Indonesian nation today. The success of these countries in developing the information technology industry, especially the software industry, has broken the argument that only developed countries can participate in the digital economy
OPTIMIZING BUSINESS MANAGEMENT BY PREDICTING SALES USING THE C4.5 ALGORITHM
With the growing development of the business sector, it causes intense competition, namely how to keep the business stable and maintain business continuity by implementing good business management. Padang Vape Shop Seventeen Vapehouse 2 is one of the vape shops in Padang. The problem faced by the shop is that the shop often buys or orders vape products that are less attractive to consumers from suppliers. By ordering vape products that are less desirable to consumers, it can cause piles of vape in stores and of course this will increase inventory costs and can be detrimental to the store. And also with these conditions causes a lack of optimization in business management. One way to overcome this problem is by implementing business management by predicting sales by utilizing data mining techniques, namely the c4.5 algorithm. By utilizing sales data at the Padang Seventeen Vapehouse 2 Vape Shop, 40 product data were obtained. Of the 40 data, 22 are in demand, and 18 are not in demand. From this data, the shop knows which products are in demand and which are not in demand, so the shop can order vape products for the future according to the products consumers are interested in.
IMPLEMENTATION INTRUSION DETECTION PREVENTION SYSTEM AS A SECURITY SYSTEM USING SNORT AND IPTABLES BASED ON LINUX
The development of computer networks continues, in terms of scalability, number of nodes, and technology. Computers connected to the network have the potential to experience disturbances or attacks. Therefore network security is very important in a computer network system to avoid attacks/disturbances and protect computer networks. Intrusion Detection System (IDS) with Snort implemented in the operating system linux can perform DoS attack monitoring (Denial of Service) and Port Scanning. Snort mode IDS will give alert regularly real-time according to rules Snort which is set in local.rules. IPTables as tools IPS will stop the attack/interference with rules IPTables applied. In this study, system testing was carried out Snort IDS, IPTables and service quality testing server. The results of the Snort IDS test can provide an alert that there is disturbances/attack real-time. IPS test results can overcome incoming attack/disturbances by blocking the intruder's IP address. Testing the quality of server service after implementing IDPS, the index value obtained was 3.75. Previously, server service quality had an index value of 2. This means that IDPS is able to overcome attacks/disturbances that enter the network.
Network Security with Snort Using IDS and IPS
Mayor's office paddock is place mayor along ranks carry out duties and powers in accordance the job they do live it , of course the data stored is also there inside . Moment This not enough maximum security office network _ mayor paddock make party office not enough be wary attack from outside . So from That mayor need method increase system server security . The method used is IDS (Intrusion Detection System) and IPS (Intrusion Prevention System). The goal can know results attack as well as secure something server network using snort with based on IDS and IPS. Benefits obtained _ that is with he made system security network with snort app uses IDS and IPS methods then can increase system security network office . Based on results and discussion obtained _ in conclusion , that the snort has designed and configured with Good capable detect manipulated attack _ with port scanning and also Ping Of Death performed by the attacker against the server and then prevented with enable firewall features through configuration IPTables .
office mayor field , security network , snort, intrusion detection system, intrusion prevention system
THE EFFECTIVENESS OF ONLINE LEARNING USING GOOGLE CLASSROOM FOR EDUCATION STUDENTS DURING THE COVID-19 PANDEMIC
The google classroom application as a form of learning management system application is chosen by the most Mathematics education students because it is easy to use. The Covid-19 pandemic has forced the learning system on campus to change drastically from face-to-face meetings to online learning. Many campuses that do not yet have online learning infrastructure are forced to conduct lectures online. This study aims to analyze the effectiveness of online learning during the Covid-19 Pandemic using Google Classroom. This study uses a descriptive research method using a survey technique using a questionnaire conducted online. The research used was in the form of an online questionnaire given to 100 mathematics education students consisting of 3 batches in the even semester. The results showed that as many as 51% of students agreed and were included in the effective category, this meant that students could access Google Classroom very easily, 43% of students stated that they quite agreed, so that Google Classroom was said to be effective enough to be a learning medium so that students understood mathematical material, and as many as 41.80% of students stated that they quite agreed about the effectiveness of using Google Classroom for online learning. After calculating the average of the three indicators, it was concluded that the use of Google Classroom in online learning in mathematics education study programs was categorized as quite effective, with an average yield of 44.23%. It can be concluded that the use of the Google Classroom application in online learning during the Covid-19 outbreak was quite good and effective, it's just that it would be better if it was combined with other online platforms
Covid, Technology, Google, Classroom, LMS
IMPLEMENTATION OF PRODUCT SALES SYSTEM BASED E-CRM AT PHONE STORE
Background :. Phone Store is a product sales shop with a cash or COD transaction process with the product brands selling Samsung, Vivo, Oppo, Readmi, Realmi and Nokia mobile phones. Phone Store also provides Accessories in the form of Charger, Anti-scratch, Powerbank, Handsfree. Method: A system is needed that supports marketing, sales and service processes using a web-based Customer Relationship Management (CRM) method. The method in this study was carried out using qualitative methods with data collection techniques, namely interviews and observation. This research was designed using the PHP programming language and MySQL database. Result: This research was conducted with the aim of designing a new system, namely attractive and effective web-based Customer Relationship Management for sales and customer service according to the needs of stores and customers, assisting Phone Store in giving confidence to customers by implementing cash and COD (Cash On) transaction features. Delivery). Conclusion : in the system and provide solutions to increase sales revenue on Phone Store such as applying discount features and shopping vouchers to customers. In line with current technological and social media developments, various efforts have been made to increase sales and transactions. In the implementation of this system will display the implementation of the interface design. The implementation of this interface design is divided into two parts, namely the implementation of the user
CRM, Product Sales System, PHP, Management.
Forecasting Analysis of the Number of Foreign Tourist Arrivals with the Chan Chan Fuzzy Time Series Model method
The tourism sector greatly influences the community's economic growth, one of the factors is the visit or number of foreign tourists who now have an important role in increasing the prosperity of life which has advantages in its cultural resources and natural resources. In realizing sustainable development in the tourism sector, activities are carried out to predict the value of a variable in the future, namely forecasting. This study aims to predict the arrival of foreign tourists to West Sumatra using the Fuzzy Time Series method. The historical data used is data on foreign tourist visits to West Sumatra in 2019. The implementation of the Fuzzy Time Series on historical data produces a Mean Absolute Percentage Error (MAPE) of 11.45% with the lowest error rate of 1,184%. These results indicate that the use of the Fuzzy Time Series in data forecasting of foreign tourist visits to West Sumatra has very good results.
forecasting, tourists, Tourism Fuzzy Time Series, Model Chan
Aerodynamic Analysis of The “Marapi Evo 1” Car Prototype Using CFD Software
One technology to improve fuel efficiency and ensure better vehicles at high speeds is to consider aerodynamic forces. The coefficient of drag and less lift can minimize the big engine work due to the air fraction so that it could be saving fuel. The geometry is simulated in a vehicle prototype. Three-Dimensional (3D) computational analysis was carried out using SolidWorks as modeling and Ansys as the pre-processing, solver, and post-processing. The speed is varied at (v) 10 m/s, 20 m/s, 30 m/s, and 40 m/s. The simulation results showed that the coefficient of drag has under 0,08. The value of the drag and lift coefficient of the average simulation results is 0,072 dan -0,00345 respectively. This result indicates that the design of the Marapi Evo 1 vehicle has an aerodynamic shape. This is impact the saving of fuel usage. The best drag coefficient value is at a high speed of 40 m/s.
vehicle, prototype, drag coefficient, aerodynamics
EXPERT SYSTEM APPLICATION DESIGN FOR CUP TREATMENT USING THE DEMPSTER SHAFER METHOD
At this time to determine cupping points at cupping clinics still use conventional methods which take a long time. One of the problems faced by a therapist in cupping treatment is still having to open a book or magazine if they find a new special case in the process of providing cupping treatment to patients, which will hinder the process of cupping treatment for patients. Thus a computer-based tool is needed that can help them to obtain information about the point of cupping in the patient's disease. The expert system is one of artificial intelligence where the system can work according to the thoughts of an expert who aims to get a solution and solve a problem. This expert system application produces output in the form of an application that aims to determine the point of cupping with the Dempster Shafer method. Testing the expert system application with the Dempster Shafer method starts with disease data entry, symptoms and rules by the owner and then trapis can determine the point of cupping to the patient according to the expert's thinking, namely the owner himself
Expert System, Dempster Shafer, Cupping, Cupping Point and Cupping Clinic
WEB-BASED LIBRARY INFORMATION SYSTEM DESIGN
An information system is a system that can b defined by collecting, processing, storing, analyzing, disseminating information for a specific purpose. Libraries are a form of progress in the field of information technology. The Agam Regency library still uses a manual system, be it in book lending activities, writing reports on borrowing and returning books or the process of finding available books. Therefore, the author provides a solution using a website program to help library activities faster in a more effective and efficient computerized manner. The application to be designed, implemented using the PHP programming language and the MySQL databases US a tool for its creation
Copyright (c) 2022 https://creativecommons.org/licenses/by/4.0
CHECKING P3K, APAR AND PPE AT PT. PLN ULP SELATPANJANG BASED ON ANDROID
In the world of work, especially in the corporate world, where technology plays a big role for companies to help solve various kinds of problems. Occupational safety and health is an absolute must for workers. As well as pad PT. PLN (Persero) Selat panjang, which is a company that operates in the field of power generation with a large working capacity, should ensure that the safety and health of service workers. At this time the office of PT. PLN (Persero) Selat Panjang in checking K3 equipment, checking is done by recording on paper, so that the data taken has not been stored electronically, therefore in order to store date for checking K3 equipment (P3K, Apar and PPE) electronically, the authors design an application K3 equipment to make it easier for officers to check and provide online information on the availability and availability of K3 in the company PT. PLN Selatpanjang
Digital Entrepreneur, Cooperative Learning, Waterfall, UML, PHP
ANDROID-BASED ONE WAY OFFICIAL ABSENCE MONITORING SYSTEM APPLICATION
One Way Attendance Officer is currently still done manually, therefore the author designed an android-based application which of course will make it easier for users to do attendance online. honorary, absenteeism, attendance recap, and contact us as well as the honorary main menu section. This study uses qualitative methods to solve existing problems, resulting in a One Way Officer Attendance Profile Application in Dinas Perhubungan Kabupaten Kepulauan Meranti
Copyright (c) 2023 https://creativecommons.org/licenses/by/4.0
Digital Entrepreneurship Based E-Learning Implementation With Cooperative Learning Method
This study aims to build an e-learning based on digital entrepreneurship as a student learning application using the cooperative learning method. This cooperative learning method is used because the focus of this learning application is the assignment of students in groups, while the digital entrepreneurship-based learning model is used so that students can take advantage of the assignments given for entrepreneurship with the applications they make. In this case students will be given assignments in groups and carry out group discussions online. The problem that has occurred so far is that the assignments that have been given to students are just assignments without any continuation of these assignments. The system to be built is a digital entrepreneurship-based learning application, namely an application regarding student assignments with the web method using the PHP programming language, and using the MYSQL database and the Cooperative Learning method. The system design method uses the waterfall model with a system design tool, namely the Unified Modeling Language (UML). The results of the research are in the form of learning media that can facilitate and assist lecturers and students in carrying out the learning process online
Design the Best Student Selection Decision Support System With Simple Addictive Weighting (SAW) Method
The process of manually selecting the best students often encounters problems such as slowing down the processed data so that the data is inaccurate and causes the institution difficulty in determining the best students. Therefore, a system is needed to deal with the problem to determine the best students in the institution. In this research method used is simple addictive weighting (SAW) method, this system is expected to help the institution in determining the best students so as to minimize the occurrence of mistakes that occur in the institution
Best Student Selection, Decision Support System, Simple Addicitve Weighting, PHP, MySQL.
INCREASING CUSTOMER LOYALTY USING ALGORITHM METHODS K-MEANS
Advances in technology allow humans to more quickly and precisely in carrying out various activities in everyday life. Along with the rapid progress technology, companies are required to continue to improve their ability to process more accurate information in order to meet their needs, desires, and levels of satisfaction so that customers remain loyal to using the company's products. The purpose of this research in general is to apply Web-based Customer Relationship Management with the K-means algorithm method on marketing/transactions at Nasution Family Doorsmeer. This research is a combined type of research, using descriptive and quantitative qualitative methods. From the research results, it is known that the existence of Web-based Customer Relationship Management can facilitate and assist in managing a good marketing strategy so as to increase sales revenue, and by providing the best service will encourage customer loyalty. and make it easier to determine loyal customers with the K-means algorithm. in order to continue to provide convenience to customers. 1. By implementing Customer Relationship Management with K-Means, you can build customer clustering to classify customers who use services so that service providers can identify the characteristics of their customers
IMPLEMENTATION OF C4.5 ALGORITHM IN DATA MINING FOR PREDICTING SCHOLARSHIP RECIPIENT STUDENTS IN UNIVERSITY
Every student who is enrolled in school wishes to receive a scholarship, especially those who come from low-income homes. The existence of a scholarship can relieve the financial load on parents who are paying for their child's college education and make the lecture process easier. However, the majority of students are unsure of how to apply for the award. Students, understandably, want to know what characteristics and conditions have the most impact on their ability to obtain a scholarship. The goal of this research is to see if the C4.5 approach can be used to forecast the number of students who will receive university scholarships. In research, the Rapid Miner software version 9.7.002 is utilized to process data. According to the findings of this study, 9 students (9%) will obtain a scholarship and 91 students (91%) will not win a scholarship out of 100 students
Data Mining, C.45 Method, Students, Scholarship Recipients