Performance Comparison among Meta Classifier Algorithms in WEKA

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access towards a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scope that could help improve people’s life for the better. In this paper, we gather all algorithm that are available inside Meta Classifier to compare between them on which algorithm suited the most with the dengue fever dataset. This research are using WEKA as the data mining tool for data analyzation.

Analysing Sentiment Analysis Twitter Data on Diabetes Cases By Using Bayes Classification

With the rise of social networking approach, there has been a surge ofusers generated content all over the world and with that in an erawhere technology advancement are up to the level where it could putus in a step ahead of pathogens and germination of diseases, wecouldn’t help but to take advantage of that advancement and providean early precaution measures to overcome it. Twitter on the other handare one of the social media platform that provides access towards ahuge data availability. To manipulate those data and transform it intoan important information that could be used in many different scopethat could help improve people’s life for the better. In this paper, wegather a total of six algorithm from Bayes Classifier to comparebetween them on which algorithm suited the most with the diabetesdataset. This research are using WEKA as the data mining tool fordata analyzation

Study on Dengue Cases

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access towards a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scope that could help improve people’s life for the better. In this paper, we gather three different algorithm from Lazy classifier to compare between them on which algorithm suited the most with the dengue fever dataset. This research are using WEKA as the data mining tool for data analyzation.

Planning of LTE-Apro Network using Licensed Assisted Access combining Spectrum Licensed 1800MHz and Unlicensed 5GHz

The number of activities in the room results in an increase inthe amount of traffic which means a large surge in cellular users. Aslarge data traffic increases, limited spectrum is available and highspectrum costs, wireless service providers respond by makingadjustments to LTE technology. With the presence of LTE-APsupported by an unlicensed spectrum, Telkomsel operators can enjoythe unlicensed spectrum to increase capacity and throughput.Cellular network planning uses 2 scenarios to get the best solution,Scenario 1 is planning the LTE Network with a bandwidth of 20 MHz inband 3 and using a 4x4 MIMO antenna. , scenario 2 planning the LTEAdvancedPro network uses the LAA method by combining theunlicensed 20 MHz spectrum in band 36 and a licensed 20 MHzsprectrum in band 3 and using a 2x2 MIMO antenna. analysis andsimulation using U-Net V500 software.The results of the LTE network planning simulation obtained theaverage value of RSRP 77 -77.71 dBm, SINR ≥ 11.88 dB, Throughput≥ 37.079 Mbps and User connected = 98.00%, while the LTE-APaverage value of RSRP ≥ -73.51 dBm, SINR ≥ 17.02 dB , Throughput ≥ 49,739 Mbps and User connected = 100.00%. Based on the simulationresults, the LTE-AP network planning is very good to be implementedin the city of Bandung, the best solution choice to overcome thelimitations of Telkomsel spectrum with the network performance that isvery good in terms of coverage and capacity.

Items Searching in Factory Warehouse Using Arduino Module

The smart store system (F3 Storage System) provides an inventory system function, and is supported by voice recognition for items searching purpose in the warehouse. This system is aimed to improve effectiveness in item searching process for the warehouse management. An inventory system structures is employed in this system to enable items management. Voice recognition facility helps the worker to search item in an effective way. Worker can use voice recognition function to search the item in the warehouse, and searched information of the item will be displayed in the liquid crystal display (LCD) screen. Meanwhile, the location of the item will be physically indicated by the light emitting diode (LED) light function. The developed system also contains a barcode system to enhance the process of scheduling warehouse activity. Such facilities will enhance the capabilities of existing inventory management systems in warehouses. Prototyping model is used to assist project development. Arduino technology is used to enable integrated hardware and software to read data or input. With Arduino technology, traditional search items by using text and search functionality are enhanced to allow speech functionality. This functionality makes the search process faster and more efficient.

Path Apps for Box of Ramadhan

destination of rural area due to unclear addresses. This problem alsofaced by owner and members of the Box of Ramadhan when theyneed to give delivery services to underprivileged people cause lowefficiency of service provided. Thus, this project is conducted todesign and develop an application called Path Apps for Box ofRamadhan for Android device user to solve problems of reachdestination and get related information to reduce overall timespending. Unified Modelling Language diagram used to show therelationship and interaction among all classes. The proposed systemis categories into two different interfaces as admin interface and userinterface. The application consists of few modules such as login andregistration, user list, profile, current location, route, multiplemarkers and address list and chat modules. Time management, routeplanning and inventory will be under control by user according toprogram schedule. This contribute to high efficiency of work.

Online Diagnose System for Risk of Kidney Failure

Renal or kidney failure, only a few citizen alert in this renal failure problem. They have a lot of thing to done, and disregard on their healthy matter, especially on organ healthy that it cannot be see directly on our eyes. On that matter, online Diagnosis Renal Failure system is developed to help society to diagnose their healthy on renal failure view. System is developed online to give an advantage to society to achieve or access the system everywhere. System has two major module, diagnosis module and information module. Diagnosis module is the part where the user can make a diagnose. Information module has two sub modules, information on renal failure and information on dialysis center all around city in peninsular Malaysia. The system development is performed on expert system methodology with prototyping as the model. Production rules technique is used to represent knowledge and for searching process pattern matching technique has been use. The system expectantly can give a benefit to society and performing diagnosis in represent the knowledge of expert in medical field.

Diagnosis Specialist System for managing Palm Oil Plantation Problems

The project that was developed is a computerize system that will be ableto diagnose problems happened to palm oil tree. Generally, there is twomain problem that always happened to palm oil tree; disease and pest.This system developed to store the knowledge in the related field into aknowledge base to help the newcomer in this field to make a decision tosettle the problem faced. To solve this problem, data driven searchtechnique applied to search for the symptom stored in the knowledgebase. The system developed using expert system concept. Based on thisconcept, a knowledge base was built to store all the knowledge compiled.Inference engine used to search the knowledge in the knowledge base.The knowledge based was stored in MySQL database and the inferenceengine was developed using PHP language.

A Generic Review of Messenger Application: Wechat And Whatsapp

Over the Internet today, communication environment is more easy and interesting to the citizen. There are much interesting in modern technology when they provided a good substrate for creating large-scale data sharing, content distribution, and application-level multicast applications. The important objective of this article is getting information about comparison of two distributed system in messenger application. Messenger application is known as a tool communication that can get any information. The distributed system is one of the independent and single coherent systems it was built an application that will be informed that section is being fixed or replaces to serve more applications or users. The distributed system for this article about the comparison of two distributed system in messenger application for WeChat and Whatsapp, it is also known as the famous application for this generations nowadays.

Vista Angkasa Apartment Management System

Vista Angkasa Apartment is one of the oldest apartments in the Bangsar South area, with a total of 8 blocks and consisting of more than 1000 units of houses. Currently, all the transaction related to the maintenance of each apartment is recorded manually. It is very difficult to manage all the data manually and if some information is required urgently then to obtain it also is very difficult. It will not only take a lot of time, but it also increases the chances of errors. Therefore, to solve the issues faced, an apartment management system that allows management staff to view the apartment’s data and tenant’s data as well as maintenance requests, notices and complaints has been developed. It also increases the efficiency and the effectiveness of Vista Angkasa Apartment Management by eliminating the current manual system. Compilation of data can be done easily with just a click of mouse. The methodology that has been applied to develop the system will be Agile with the PHP programming language. The developed system has successfully tested with the real time data at the Vista Angkasa Apartment. Based on the obtained results, the Vista Angkasa Apartment Management System solved the current issues with the management office and tenants.