The Digital Game’s Impact on Student’s Interaction Related to Sociomathematical Norms: A Systematic Literature Review

The use of digital games as learning mathematics media is ubiquitous. It comes in a variety of approaches, designs, and purposes. But, its impact on students’ interactivity leads to a classroom social construct called sociomathematical norms is not revealed yet. Beside, technology use in education and traditional game use separately could raise students’ sociomathematical norms. Although, sociomathematical norms are known as specific interactions among students and teachers which form mathematical concepts. This systematic literature review study, based on the PRISMA statement, conducted to collect critical information about the use of digital games' impact on students' sociomathematical norms. Articles which published between 2016 and 2020 in mathematics education field are screened. The findings show that the use of digital games raises students’ sociomathematical norms if it is followed by an open ended learning approach and sharing feature. Otherwise, the norms cannot be detected explicitly. Future research related to this finding is also recommended

A Concept of V2G Battery Charging Station as the Implementation of IoT and Cyber Physical Network System

The integration of the internet of things (IoT) and cyber physical network into the battery charging station system is critical to the success and long-term viability of the vehicle to grid (V2G) trend for future automobiles in terms of environmental and energy sustainability. The goal of this article is to create a V2G battery charging station concept using the internet of things (IoT) and a cyber physical network system. The V2G charging station concept was developed with the idea that every charging electric vehicle (EV) can communicate and coordinate with the charging station's control center, which includes a cyber physical system that addresses privacy and security concerns. The communication protocol must also be considered by the charging station. The preliminary test has been taken into consideration. Normal hours (for case one), peak hours (for case two), and valley hours (for case three), respectively, were created as charging circumstances for EVs at charging stations. Simulations were run for each of the three case scenarios. Each EV's battery state of charge (SoC) is provided a 50 percent initial charge and user-defined SoC restrictions. The MATLAB/SIMULINK platform was used to run the case simulations. The grid frequency, charging station output power, and the EV's battery SoC were all observed during the 24-hour simulation. As a result, the developed V2G charging station concept can regulate its input and output power depending on the battery status of the EVs inside the charging station, as well as provide frequency regulation service to the grid while meeting the energy demand of EV customers

A Concept of V2G Battery Charging Station as the Implementation of IoT and Cyber Physical Network System

The integration of the internet of things (IoT) and cyber physical network into the battery charging station system is critical to the success and long-term viability of the vehicle to grid (V2G) trend for future automobiles in terms of environmental and energy sustainability. The goal of this article is to create a V2G battery charging station concept using the internet of things (IoT) and a cyber physical network system. The V2G charging station concept was developed with the idea that every charging electric vehicle (EV) can communicate and coordinate with the charging station\u27s control center, which includes a cyber physical system that addresses privacy and security concerns. The communication protocol must also be considered by the charging station. The preliminary test has been taken into consideration. Normal hours (for case one), peak hours (for case two), and valley hours (for case three), respectively, were created as charging circumstances for EVs at charging stations. Simulations were run for each of the three case scenarios. Each EV\u27s battery state of charge (SoC) is provided a 50 percent initial charge and user-defined SoC restrictions. The MATLAB/SIMULINK platform was used to run the case simulations. The grid frequency, charging station output power, and the EV\u27s battery SoC were all observed during the 24-hour simulation. As a result, the developed V2G charging station concept can regulate its input and output power depending on the battery status of the EVs inside the charging station, as well as provide frequency regulation service to the grid while meeting the energy demand of EV customers

Detection Using Intrusion Detection System (IDS) and SMS Gateway Controller

Intrusion Detection System and SMS controller with Snort using SMS Gateway on public networks. The need for an attack detection system that can assist administrators in monitoring the network, so that administrators can cope with threats quickly and the network can operate optimally again, the purpose of this study is to facilitate network administrators in preventing and detecting attacks. this has been tested against ping of death attacks, sql injection, sysflooding attacks and port scanning. From the results of testing the system that has been tested, the system has been able to detect and prevent it quickly via SMS controller integrated with gammu as an sms gateway, as for information sent to the network administrator in the form of attack alerts in real time via SMS, the result of attack detection in the form of 4 (four) types of information, namely attack time, attack type, destination IP, and source IP. Blocking attacks is done by sending blocking commands via an sms controller that is integrated with php scripts, bash scripting and iptables, blocking attacks successfully executed after the gammu server receives an SMS reply from the network administrator in an average period of 40 seconds

Aceh's Historic Tourist Attractions: An Augmented Reality-Based Prototype of a Virtual Tour Application

Indonesia has attractive tourist destinations for tourism such as beautiful interior areas and historical places. The purpose of this research is to design and build a virtual tour application for Aceh tourism objects using augmented reality. One of the problems that occur in tourist objects is that foreign tourists do not have an idea about the tourist objects they want to visit. The technology used in this study and previous research is Augmented Reality, but previous research only displays 3D tourist objects, while in this study, augmented reality technology is incorporated into the design of the 4 Aceh tourist attractions by showing a 3-dimensional illustration of the object as a whole. for the outside of the building and displays a virtual tour image in the form of a video to illustrate the inside of the tourist attraction building on the Android mobile platform. Based on the results of distance and angle testing, the best (ideal) distance that produces clear and bright marker detection is found at a distance between 25 to 45 cm, while the best angle is between an angle with a slope of 0° to 60°. Measurements of distances and angles are carried out using threads, bows and measuring tapes. The 3D object is successfully displayed by pointing the camera at the marker to be detected.

A Concept of V2G Battery Charging Station as the Implementation of IoT and Cyber Physical Network System

The integration of the internet of things (IoT) and cyber physical network into the battery charging station system is critical to the success and long-term viability of the vehicle to grid (V2G) trend for future automobiles in terms of environmental and energy sustainability. The goal of this article is to create a V2G battery charging station concept using the internet of things (IoT) and a cyber physical network system. The V2G charging station concept was developed with the idea that every charging electric vehicle (EV) can communicate and coordinate with the charging station's control center, which includes a cyber physical system that addresses privacy and security concerns. The communication protocol must also be considered by the charging station. The preliminary test has been taken into consideration. Normal hours (for case one), peak hours (for case two), and valley hours (for case three), respectively, were created as charging circumstances for EVs at charging stations. Simulations were run for each of the three case scenarios. Each EV's battery state of charge (SoC) is provided a 50 percent initial charge and user-defined SoC restrictions. The MATLAB/SIMULINK platform was used to run the case simulations. The grid frequency, charging station output power, and the EV's battery SoC were all observed during the 24- hour simulation. As a result, the developed V2G charging station concept can regulate its input and output power depending on the battery status of the EVs inside the charging station, as well as provide frequency regulation service to the grid while meeting the energy demand of EV customers

Perbandingan Algoritma C4.5 dan Adaptive Boosting dalam Klasifikasi Penyakit Alzheimer

Penyakit alzheimer adalah penyakit yang menyerang sistem saraf di dalam otak. Penyakit ini dapat menyebabkan terganggunya aktivitas sehari-hari, ingatan yang tidak terorganisir, dan berkurangnya daya ingat. Deteksi dini penyakit alzheimer dapat memanfaatkan pendekatan matematis menggunakan data mining. Data mining memiliki model-model klasifikasi yang dapat digunakan untuk mendeteksi dini penyakit alzheimer. Beberapa algoritma yang dapat digunakan untuk klasifikasi diantaranya adalah C4.5 dan Adaptive Boosting (AdaBoost) yang diterapkan pada penelitian ini untuk mengklasifikasikan penyakit alzheimer. Perbandingan kedua algoritma ini bertujuan untuk memperoleh algoritma mana yang paling tepat dalam klasifikasi penyakit alzheimer. Untuk menguji kedua algoritma ini digunakan dua teknik pengujian yaitu percentage split dan k-fold cross validation. Pada percentage split dipilih ukuran split sebesar 80% untuk data latih dan 20% sebagai data uji dan k-fold cross validation dipilih nilai k sebesar 10. Hasil penerapan dari kedua algoritma diperoleh bahwa untuk k-fold cross validation bekerja lebih baik dibandingkan dengan percentage split. Hal ini dikarenakan k-fold cross validation meningkatkan persentase nilai presisi, recall, dan akurasi dari masing-masing algoritma. Untuk kinerja masing-masing algortima, AdaBoost dalam penggunaanya bekerja lebih baik dibandingkan dengan C4.5 dengan nilai presisi, recall dan akurasi secara berturut-turut, yaitu 91.5%, 91% dan 91.15%. Dari hasil yang diperoleh dapat disimpulkan bahwa algoritma AdaBoost dengan teknik k-fold cross validation memiliki performa yang paling baik dalam melakukan klasifikasi penyakit alzheimer dibandingkan algoritma dan teknik pengujian lainnya

Detection using Intrusion Detection System (IDS) and SMS Gateway Controller

Intrusion Detection System and SMS controller with Snort using SMS Gateway on public networks. The need for an attack detection system that can assist administrators in monitoring the network, so that administrators can cope with threats quickly and the network can operate optimally again, the purpose of this study is to facilitate network administrators in preventing and detecting attacks. this has been tested against ping of death attacks, sql injection, sysflooding attacks and port scanning. From the results of testing the system that has been tested, the system has been able to detect and prevent it quickly via SMS controller integrated with gammu as an sms gateway, as for information sent to the network administrator in the form of attack alerts in real time via SMS, the result of attack detection in the form of 4 (four) types of information, namely attack time, attack type, destination IP, and source IP. Blocking attacks is done by sending blocking commands via an sms controller that is integrated with php scripts, bash scripting and iptables, blocking attacks successfully executed after the gammu server receives an SMS reply from the network administrator in an average period of 40 seconds

Penerapan ELPSA Framework Berbantuan Game pada Materi Eksponensial

The Application of the ELPSA Framework Assisted by Game in Teaching Exponential. There is still a tendency for students to avoid mathematical assignments is a challenge for educators. Therefore, to present interesting and quality mathematics learning, one of them can be through the ELPSA framework. ELPSA framework is a mathematical learning approach that contains five components, namely experience, language, pictorial, symbolic, and application. The game was chosen to present training as a part of symbolic component that attract students. This study aims to determine the mastery of student learning through the application of the ELPSA framework assisted by games on exponential material, student responses to the learning activity, and the dynamics of students' emotional activity in game utilization. This research use mixed method with convergent parallel mixed method design. The instruments used were learning outcomes tests, student response questionnaires, and observation sheets of student emotional activity. The study population was all students of MTsN 1 Aceh Tengah, and the sample was 17 students of class VIII-1. Based on the results of data processing using the t test, it can be concluded that the value of students reaches completeness. In addition, students respond well to learning and the use of games. Observation of the emotional activity of students during play shows the seriousness is dominating the emotional activity that arises, followed by pleasure, and curiosity. Whereas signs of boredom and disappointment do not arise. This study presents alternative mathematical learning designs to achieve learning goals, as well as attracting students

ROTATION-GAMMA CORRECTION AUGMENTATION ON CNN-DENSE BLOCK FOR SOIL IMAGE CLASSIFICATION

Soil is a solid-particle that covers the earth's surface. Soils can be classified based their color. The color can be an indication of soil properties and soil conditions. Soil image classification requires high accuracy and caution. CNN works well on image classification, but CNN requires a large amount of data. Augmentation is one technique to overcome data needs like rotation and improving contrast. Rotation is the movement of rotating the image position randomly to various degrees. Gamma Correction is a method to improve image by decreasing or increasing the contrast. The rotation and Gamma Correction on augmentation can increase the amount of training data from 156 to 2500 soil images data. The classification of soil data is not referred to soil taxonomy system such as Entisols and Histosols but it used arbitrary simple classification based on color.  Unfortunately, the weakness of the CNN is vanishing and exploded gradients. Another Deep learning that can overcome vanishing and exploded gradients is dense blocks. This study proposes a combination of Augmentation and CNN-Dense block where in the augmentation a combination of rotation and Gamma-correction techniques is used and Soil image classification based on color is used by the CNN-Dense block. The combination method is able to give excellent results, where all performances accuracy, precisions, recall and F1-Score are above 90%. The combination of rotation and Gamma Correction on augmentation and CNN is a robust method to use in soil image classification based on color