Ramli Ahmad

Selling woven fabric products using an online system will certainly lead to lower production costs and lower selling prices. Online selling requires a concept and a mature mind to find out important things that can attract consumers to visit the website and make purchases. With this research the seller will get an overview of the things that can attract consumers to purchase woven fabric based on several variables studied, like the promotion website and the selling price of woven fabric. From this variables seller can find out which variable has the most influence on the buyer's decision to purchase Lombok woven fabric, in this case the researcher conducted a study on this matter by analyzing using the Neural Network (NN) model. Base on the analysis that has been done, a result is obtained, where the variables that have the greatest influence on the purchase decision of woven fabric are prices and websites with an accuracy level of PRED (.25) of 95%.

The goal of networking has the idea of “resource sharing” and “communication” in a convenient way. However, more convenience services are provided, more problems of security and privacy issues may occur. In order to prevent these problems, an IDS (Intrusion Detection System) is designed to enhance the network security and to observe abnormal behavior. Model accuracy and the training time required to build the model are affected greatly if we use the unselected features and irrelevant data. This is the reason why the selection of features is a significant process in building an Intrusion Detection System (IDS). This paper aims to boost the Deep Neural Network (DNN) capabilities by selecting the feasible features before processing networking data. This research employed the KDD Cup 99 dataset which is considered as one of the representative datasets for intrusion detection. Based on our experimental results, it is concluded that the selection of the proper features has effects on the ...

Software is a discipline that addresses all aspects of software production, starting from the early stages of capturing requirements (user needs analysis), specification (specify the specification of user needs), design, coding, testing to maintenance of the system after use [1]. Accurate estimation is the key to the success of software development projects. There are many mechanisms of the estimated costs and business software, but estimated costs and accurate business is still a challenge for researchers and managers of software development projects [2]. Research that uses neural network method in estimating the cost and effort of software development projects have error rates are still high, so it still needs improvement to obtain a more optimal result. In this study created a model of neural network algorithms and neural network algorithm model based particle swarm optimization to get the architecture in estimating the cost and effort of software development projects and to obta...

This study aims to compare the Random Forest (RF) ensemble learning method with other machine learning methods to predict the default borrowers. The data was retrieved from LendingClub dataset, and recursive feature elimination (RFE) was performed to obtain ten best features for the proposed model. To compare the data acquired in this investigation, accuracy, recall, precision, and F1-score, as well as the ROC curve, were used. The comparison of different models determines which model is best for the P2P platform.

Due to the rapid development of mobile technology, especially android smartphones as a communication device and smart phone has improved a lot of developments, such as remote control that can control electronic devices. Indirectly, the use of a remote control can reduce the user's task in handling electronic equipment. This research aims to build a control system that can control electronic devices using Arduino ESP and Android based on Internet of Things (IOT). The construction of this system is expected to make it is easier for users to control electronic devices remotely. Users only provide voice commands via Google Assistant on Android, which was built to make commands to turn on or turn off electronic devices by utilizing an internet connection. The tests on the system have been done and the result show that the system can work well to turn on and turn off electronic devices. The system has a delay of (3 seconds) for each command sent by the user via an Android smartphone.

During this time, most vehicle service can only be done in a garage where every customer who wants to make repairs to them vehicle must bring the vehicle directly to the service shop. Under these conditions it need the use of the latest technology that can facilitate two-way communication between vehicle service providers with consumers. The solution offered in this study is in the form of applications based on Android and IOS that are connected to the internet and GPS (Global Positioning System) for vehicle repair services. With the development of the application services can be done anywhere, and users who need services can easily find out the nearest location of the vehicle service to the point of position of consumers at that real time. With the existence of this application the user does not have to go to the vehicle service shop, but the service can be done at the office, at home even in an emergency on the road though. So the application making it easier to service the user’s...

One of the materials provided at SMK is Microprocessor and Microcontroller System material. The material is very important to study because currently, the system based on microprocessor systems and microcontrollers is becoming a technology that is in demand and is developing in the community. Starting from the application of analog electronic circuits, then digital and now almost all equipment uses microprocessor systems, for example, devices close to us, such as mobile phones, televisions, radio-cassettes, washing machines to space instruments. Based on the description above, a method is needed learning that is able to provide a deeper understanding of the microcontroller-based system as well and can increase student interest in learning. The method used is the Participatory Learning and Action (PLA) method. Community service programs through the application of science and technology will be directed to provide an introduction to microprocessor and microcontroller technology using ...