Tourist Attractions Visitor Density Monitoring Platform

Tourism is one of the sectors that have been hit hard during the current Covid-19 pandemic. However, in 2021 the tourism sector is slowly rising marked by the number of tourist attractions that are starting to open to the public with the implementation of strict health protocols. However, in practice there are still many cases of violations of health protocols in various tourist attractions, ranging from the undisciplined use of masks, not keeping a distance (social distancing), and the absence of setting the ideal number of visitors during a pandemic like the current one. Managers of tourist attractions tend to ignore restrictions on the number of visitors due to the absence of an management system to run. There needs to be an application that can inform the condition of visitors to tourist attractions in real-time so that people have self-awareness of their personal health so that people can make early plans before traveling. In good governance, this application contributes to controlling the risk of Covid-19 transmission originating from crowded centers (tourist spots). The government can easily monitor the distribution of tourist visitor density in the area so that it can then be used as a basis for carrying out policies and handling in the field. This study proposes the development of an application platform (software and hardware) monitoring the density of visitors to tourist attractions using the concept of object detection based on image processing and deep learning. The integration of hardware with web-based software will provide information on the density of visitors to tourist attractions that are easily accessible to the public so that they are expected to contribute to the handling of the current Covid-19 pandemic.

Activity and Time Value of Public Passenger Transportation Users During the Covid-19 Pandemic in 2020 (Bus of Batik Solo Trans Corridor 4 in Surakarta)

The Covid-19 pandemic in 2020 has a significant impact on all countries' social and economic conditions, including Indonesia. It is fitting that social and economic changes also affect the transportation sector. The value of economic benefits in one public facility operation also depreciated due to the economic recession. One of the variables that can be reviewed is the time value of public passenger transportation users (AUP) to measure how much depreciation has occurred. This study specifically for travel is learning, using the bus mode Batik Solo Trans (BST) Corridor 4. Development of scenarios for questionnaires with stated preference methods, using the choice mode between motorbikes and AUP as an option, and the mode utility is approached with the equation multiple linear regression. The results of the analysis show that the time value of the user in the fleet is IDR 274.67 / hour for a distance of 8.35 km and the Time Value for a distance of 13.0 km = IDR 240.82 / hour with a Value of Activity (VoA) which is close to zero because the activity in the fleet has no financial value. This time value is considerably smaller than the AUP time value with the same intention of trip, studying, which was analyzed in 2015, which was IDR 4,708 / hour.

Decision Support System in Scholarship Acceptance Selection Using The Vikor Method

This study aims to apply the vikor method in the selection of scholarship receipts at Bengkulu Dehasen University. Designing the process by describing how the VIKOR (Visekriterijumsko Kompromisno Rangeranje) method should be used based on criteria (indications, achievements, credits and living expenses) fulfilled by prospective scholarship recipients in accordance with the provisions of Dehasen Bengkulu University in selecting scholarship acceptance. Based on the results obtained it can be proven that the condition of Acceptable stability in decision making is fulfilled (Namely a smaller value than 1) and Intan P Can be proposed to be a compromise solution which is the best ranking of scholarship recipients ranking by this VIKOR (Visekriterijumsko Kompromisno Rangeranje) method.

Network Security Using Honeypot and Attack Detection with Android Application

Network security is now increasingly needed in the era of the industrial revolution 4.0. As technology grows, cybercrimes are becoming more and more common, including attacks on a resource. At this time, honeypots are also widely used by large industries for network security, besides that honeypots are also useful for them in developing intrusion and preventing systems. Honeypots are usually used in a virtual environment, they will stimulate a fake system to capture data packets on the network and be analysed offline later for all threats and attacks. This propose of this paper is to detect and prevent building attacks from computer network attackers using an android application. This application can monitor an attack on the server by installing a honeypot tool into the server as an attack detector, then the honeypot log is used as a Rest API using Django framework with MongoDB database. this application can find out if there is an attack on the server, and can block the attacker's IP address.

EmbrASD: Android Mobile Application for Children with Autism as a Supplemental Tool for Therapy

Autism has a very wide range that influences people, specifically children in general. Usually, it affects a child’s social interaction, communication, behaviors, and interests. Providing a complete device for treatment which is planned to be used by kids with autism needs to be taken into consideration. There is no software available that will adhere to the main areas of autism. The development a multidimensional software that focuses the main areas of kids with autism was a specific goal that the paper is being addressed. It is planned from the viewpoint of several specialists: more particularly speech therapist, occupational therapist, Special Education (SPED) educator and an Applied Behavior Analysis (ABA) specialist. The specialists’ focused objectives were lengthily included into the planning of the software. The development of an application for the young with autism that would completely attend to all the main areas that are initiated by autism and serves as an addendum to treatment is the primary goal of the study. Interviews from, speech therapist, occupational therapist, SPED teacher, ABA therapist and a SPED therapist will serve as a basis and the prototyping methodology for system development. With the implemented system, the intended users gave an approval on the application to be integrated in the teaching of children with autism. Suggestions on the improvement of the application comprises of including video recording for API 22, implementing the system in the iOS environment, and concentration on older autism cases were recommended.

Development of a Solar Powered DC Drive for Rickshaw

The solar powered DC drive for a rickshaw is an automobile that uses solar energy to drive a DC motor, which in turn move a rickshaw. Due to the challenge of global warming, it has become necessary to make use of power sources that are environmentally friendly or renewable energy. Solar energy is used as the energy source in this design because it is cheap, clean and readily available during the day. This paper employed the use of solar PV which converts the solar energy into electrical energy. The electrical energy generated by the solar PV comes in the rated value of 12 V or 24 V which increases or decreases beyond this rated values depending on the sun intensity. To make use of the varying solar PV voltage, there is need to either buck (stepdown) or boost (step up) or buck-boost (stepdown-step up) the PV voltage to a constant voltage value. Since 12 V DC drive is used, it is required to step up or step down from the voltage range of 10 V to 25 V to 12 V via a buck-boost converter to power the 12 V DC drive. The DC motor control was implemented by embedding the functions of vehicle control in the system. The functions are; run, stop or break, left and right. This function makes the DC drive to control the rickshaw as vehicle. The results shows that rickshaw can be control and driven as a vehicle using solar energy.

Design of a Robotic Humanoid for Surveillance Application

The evolution of robotics and their control systems have made the placement of arms, their motion, grasping of objects, as well as exploring their immediate environments a very important area of research. The electronic design and implementation of the humanoid which involves the keypad and graphical user interface (GUI) to track the movement of the humanoid robot as well as control the humanoid robot in performing the tasks of avoidance of obstacles and picking of objects is achieved. The system is made of two units: the remote controller unit and the humanoid control unit. The remote controller unit is of two types namely; the keypad and the GUI. The keypad uses the buttons to control or direct the humanoid while the GUI does the control using PC. The GUI has the additional function of viewing the picture taken by the humanoid, if the arrangement of an obstacle is not included among the sixteen obstacle avoidance algorithms considered. The humanoid control unit makes the humanoid walk and avoid obstacles autonomously. The simulation of robotic humanoid and hardware results also show that the hardware implementation can be embedded into the humanoid frame for surveillance applications

Smart Safe Deposit Box Based on Internet of Things

The development of Internet of Things technology today is overgrowing in various fields, one of which is security. Safe-deposit box system is considered less safe because there is no warning to the owner. This study proposes a safe deposit box system that has a token security feature based on the internet of things. This system uses a webcam that functions to take pictures automatically. The image is sent to the server via the FTP protocol. It has two levels of users, namely admin, and guest. This system has a warning alarm, and notifications feature that works when the safe door is opened by force. Keyword: internet of things, safe deposit box

The 3in1 Robot Design for Medical Assistant on 2019-nCoV case

Covid-19 (Coronavirus disease 2019) is a new coronavirus (SARS-CoV-2) that is known to have originated in Wuhan, China. It was found at the end of December 2019 with countries infected with the Coronavirus in more than 65 countries. According to WHO data as of the 4th of March 2020, the number of sufferers was 90,308 infected with Covid-19. In Indonesia as of April 14, 2010, people with Covid-19 were positive for 4,839, recovered 426, and died 459. In Indonesia, one of the ways to tackle the Covid-19 pandemic is by spraying with disinfectant liquid and delivering food or medicine to patients infected with Covid. -19 is still in close contact with a patient who is still likely to be infected from that patient. According to general guidelines in dealing with the Covid-19 pandemic, one of them is done by spraying disinfectants in several public facilities such as health clinics, government office, schools, bridges, parks, fields, and other public areas. However, sterilization is still done manually by health workers. This puts medical personnel at risk of being exposed to the covid-19 virus. Therefore, in this study, a multi-functional robot with a remote control equipped with an FPV camera was developed. The robot can be used to spray disinfectant, UV lamp-based sterilization, and deliver food and medicine to patients infected with Covid-19. From the test results, the teleoperation system can work well with a range of 30 meters indoors and 150 meters outdoors.

The Portable Carbon Monoxide (CO) and Hydrocarbons (HC) Gas Detection System in The Car Cabin Uses The MQ-9 and TGS 2610 Sensors

The increase in the number of vehicles especially cars causes the air environment to look polluted. This is caused by vehicle exhaust gases that can affect the level of human health. Harmful gases such as carbon dioxide (CO) and hydrocarbon (HC) can also enter the car cabin, making people inside feel suffocated and even death. To find out the presence of these gases, a monitoring system prototype is made which is placed in the car cabin. This system consists of input in the form of an MQ-9 sensor and a TGS2610 sensor. The readings of these sensors are processed by Arduino Uno. The system output is made in the form of a buzzer and LCD. Tests carried out on the car cabin area are divided into three, namely front, middle, and rear. The results of the 6 tests show that the smallest percentage of CO errors is 8% in the middle area and HC of 8.7% in the rear area of the car cabin.