Design of Checkers Game Using Alpha-Beta Pruning Algorithm

Checkers is a board game that is played by two people which has a purpose to defeat the opponent by eating all the opponent's pieces or making the opponent unable to make a move. The sophistication of technology at this modern time makes the checkers game can be used on a computer even with a smartphone. The application of artificial intelligence in checkers games makes the game playable anywhere and anytime. Alpha Beta Pruning is an optimization technique from the Minimax Algorithm that can reduce the number of branch/node extensions to get better and faster step search results. In this study, a checkers game based on artificial intelligence will be developed using the alpha-beta pruning method. This research is expected to explain in detail how artificial intelligence works in a game. Alpha-beta pruning was chosen because it can search for the best steps quickly and precisely. This study tested 10 respondents to play this game. The results show that the player's win rate was 60% at the easy level, 40% at the medium level, and 20% at the hard level. Besides that, the level of interest in this game was 80% being entertained and 20% feeling ordinary.

Geographic Information Systems Application to Drought Distribution Identification with Standardized Precipitation Index (SPI) Method in Trenggalek Regency

The widespread drought area in Trenggalek Regency in 2019 needs to be analyzed to reduce negative impacts and as a monitoring tool to anticipate future drought events. The Standardized Precipitation Index (SPI) is a drought analysis method by calculating the rainwater deficit at various time scales used to identify the distribution of drought in Trenggalek Regency. This study using rain data on 13 rain stations for the period 1990-2019 and agricultural production data for 2019. The calculation results show that the highest SPI value occurred in March at the highly wet level with a value of 2.11. The lowest SPI value occurred in May at the extremely dry level with a value of -2.31. The results are then mapped using ArcGIS with the Inverse Distance Weighted (IDW) method to identify the spatial distribution of drought.

Learning at Home During the Covid-19 Pandemic by Optimizing Video Based Tutorials

The learning process carried out at home during the COVID-19 pandemic demands the creativity of educators so that the material provided can be understood by students. The problems that arise during online lectures are changing the habits of students who always get detailed explanations from lecturers, while in online lectures the interaction between students and lecturers is limited and there are student guidelines for independent study. The research was conducted with the aim of evaluating the learning process at home using video-based tutorials. The methodology is carried out using the ADIIE model. The process of making tutorials is done by making a video story board that will be made and implementing the story board using Camtasia Studio. The results of the study resulted in Structured Programming course material in the form of video tutorials from meetings 1 to 10. The evaluation results showed that 39.1% of students answered very well to the question of whether videos can be used for self-study at home and 60.8% answered quite well.

The Natural Disaster Prone Index Map Model in Indonesia Using the Thiessen Polygon Method

Natural Disasters are natural phenomena that occur at any moment that can cause loss. Indonesia is an archipelagic country located at the meeting of four tectonic plates and volcanic belts. This condition causes Indonesia to be prone to natural disasters. Therefore, it is necessary to make a natural disaster-prone index map model minimize the impact of natural disasters. In this research, the researchers used a Polygon Thiessen method for it was one of the mapping methods to determine a natural disaster based on Indonesia's vast surface and many disasters. The BNPB and Polygon Thiessen data comparison shows that BNPB data has a low level of vulnerability of 302, a moderate level of vulnerability of 148, and a high level of vulnerability of 58. In contrast, the Thiessen polygon has a low level of vulnerability of 297, a moderate vulnerability of 158, and a high vulnerability of 59. Comparing BNPB data and the Thiessen Polygon method found five differences from 40 data in the Papua region. Suggestions for further research to create an application-based information system so that it can be accessed in real-time.

Analysis of Functional Suitability and Usability in Sales Order Procedure to Determine Management Information System Quality

In the development of information systems, it is very important to pay attention to the quality of the system which can be reviewed through aspects of usability for its users and following the needs and specifications of its users. This study will analyze the quality of the sales order management information system based on two characteristics of the ISO 25010 quality standard system, namely functional suitability and usability. The functional suitability test was carried out by the BlackBox testing method to test three sub-characteristics of functional suitability that are functional completeness, functional correctness, and functional appropriateness. Usability tests use a use questionnaire which is divided into four criteria that are usefulness, ease of use, ease of learning, and satisfaction. In testing the suitability of functionality involving 5 respondents and 17 respondents in usability testing. The results of this study indicate that the sales order management system fulfills two characteristics of information system quality that are functional suitability and usability. Where all the features designed are by the successful features, and the usability characteristics are 85.45% which indicates that the system is very feasible to implement.

Implementation of the Rational Unified Process (RUP) Model in Design Planning of Sales Order Management System

Sales order documents at retail companies are a very important procedure in the project or work initialization process. However, the management of the sales order which is still done manually creates several problems in the process. This research will try to offer a solution by building a sales order management system that is developed by applying the Rational Unified Process (RUP) method. 4 stages in the RUP must be carried out, namely: the initial stage, the elaboration stage, the construction stage, and the transition stage. To reduce the risk of changes desired by the user, testing is carried out at the end of each phase. The results of this study have succeeded in building an SO management system where each feature designed is successfully implemented, which is indicated by the results of measuring the functional suitability of the system at each stage getting a value of 1.

Disease Detection of Dragon Fruit Stem Based on The Combined Features of Color and Texture

Dragon fruit is one of the favorite commodities in Banyuwangi Regency's agriculture. In 2019, this commodity had the fourth largest harvest area among other fruit commodities in Banyuwangi until it was exported to China. However, disease attacks often appeared in several dragon fruit plantations in Banyuwangi, and the identification system was still conventional. Many farmers did not know the types of disease and how to handle it, causing the quality and quantity of their crops to decline. Therefore, this study implemented two feature extraction methods. Both methods include color feature extraction using the color moments method and texture feature extraction using gray level co-occurrence matrices (GLCM). The methods used to develop a system that recognized or detected the three types of dragon fruit stem based on digital image processing using Support Vector Machine and k-Nearest Neighbors methods as comparison methods. The results obtained from this study indicated that the combination of the two proposed feature extraction methods could distinguish between stem rot, smallpox, and insect stings with an optimal accuracy score of 87.5% obtained by using Support Vector Machine as a classification method.

A Website-based Information System Design of SME Development Facilitation Registration

Small and medium enterprises (SMEs) are particularly important for the economy of West Java Province. Accordingly, The Industry and Trade Agency of West Java Province has conducted a number of facilitation programs to support the development of these SMEs. Neverheless, the implementation of facilitation programs is faced with some major problems, for example, the registration system for applying and proposing facilitation programs is still manually managed. As a result, some SMEs do not have the opportunity to propose and receive facilitation programs from the agency in addition to the several serious issues encountered by the agency to evaluate the facilitation programs. This study aims to design a website-based information system of SME development facilitation registration in the Industry and Trade Agency of West Java Province Government, Indonesia. It used the Waterfall method to develop the system. The results suggested that the system can well run as expected. In addition, the result of usability test indicates that the proposed system can be classified as acceptable because its score is 80.4.

Semi-Adaptive Control Systems on Self-Balancing Robot using Artificial Neural Networks

A self-balancing type of robot works on the principle of maintaining the balance of the load's position to remains in the center. As a consequence of this principle, the driver can go forward reverse the vehicle by leaning in a particular direction. One of the factors affecting the control model is the weight of the driver. A control system that has been designed will not be able to balance the system if the driver using the vehicle exceeds or less than the predetermined weight value. The main objective of the study is to develop a semi-adaptive control system by implementing an Artificial Neural Network (ANN) algorithm that can estimate the driver's weight and use this information to reset the gain used in the control system. The experimental results show that the Artificial Neural Network can be used to estimate the weight of the driver's body by using 50-ms-duration of tilt sensor data to categorize into three defined classes that have been set. The ANN algorithm provides a high accuracy given by the results of the confusion matrix and the precision calculations, which show 99%.

3 Dimensional Dynamic Map on Buildings at University of Darussalam Gontor Based on Augmented Reality

Darussalam Gontor University (Unida Gontor) is a campus with a fairly rapid development of infrastructure. The paper-based building prototype design belonging to UNIDA Gontor is considered not able to visually represent the building that has been or will be built. This research aims to provide a prototype design update using more modern and dynamic technology that can be seen from all sides of the building and does not require physical storage, also can be used anytime and anywhere.The Application content is taken through the visual data collection stage in the form of detailed photos of buildings taken through cameras and drones. This media is based on Android which uses marker based augmented reality technology to implement 3-dimensional visualization of campus building objects, which are created through the steps of the waterfall model. The test is carried out in two stages, namely the suitability of the application with various android devices which shows compatibility with devices with a minimum size of 5 inches. The second test was conducted by distributing questionnaires to the staff of the facilities and infrastructure division of Unida Gontor with an average score of 90%, and the lecturers and multimedia student group 89.52%.