Availability Of Parking Lot Research Articles

KUALITAS PELAYANAN KESEHATAN DI UPTD PUSKESMAS SUKATANI KOTA DEPOK,JAWA BARAT BERDASARKAN ANALISIS TERRA

This study aims to determine the quality of service at the UPTD Puskesmas Sukatani, Depok City in terms of TERRA analysis (Tangible, Empathy, Reliability, Responsiveness, Assurance). This research uses a qualitative descriptive approach. Based on field research, it can be concluded that of the 5 indicators of service quality, namely: Tangible, Reliability, Responsiveness, Assurance, and Empathy studied by UPTD Puskesmas Sukatani Kota Depok have been running well. This can be seen from the informants' answers to the sub-indicators of the five dimensions stating that they are good and in accordance with the Operational standards that apply at UPTD Puskesmas Sukatani. However, there are several sub-indicators that still need to be corrected including sub-dimensions of facilities and infrastructure such as the availability of parking lots, the sub-dimension of responding to patient complaints in online media and in the dimension of accuracy in examining files because officers with medical record graduates are only one officer (still lacking employees), considering the large number of surrounding communities who seek treatment at the Sukatani Puskesmas. In the three sub-dimensions still need to be improved so that the services provided to the community can be more comfortable with the treatment and can also be in accordance with the vision and mission of the Puskesmas organization.

Integration of YOLOv5 Algorithm and OpenCV in Innovative Smart Parking Management Approach

The problem of automatic parking lot identification and vehicle detection in open areas is becoming increasingly important due to the increase in the number of vehicles in Indonesia, particularly in big cities, resulting in difficulties in finding parking spaces during peak hours. In this condition, drivers often have to compete for parking spaces. This research aims to develop a smart parking system that integrates YOLOv5 and OpenCV algorithms. This approach thoroughly combines both algorithms to identify parking spaces and detect vehicles in real time in various parking scenarios. It is carried out in an open area with reference to parking conditions at the BRIN Bandung office. This study collected data from three different parking lot conditions, namely empty, partially occupied, and full. In each condition, the system successfully detected the parking lots and vehicles accurately. The novel contribution of this research is the development of a smart parking system that uses an integrated approach, providing an effective solution to the challenges of parking lot availability and vehicle detection. Using the advantages of both algorithms, we successfully created a system that can identify parking spaces and detect vehicles accurately and efficiently under various parking circumstances. Therefore, this research makes a significant contribution to the development of smart and adaptive parking management technology.

Cox Regressive Outlier Robust Incremental Extreme Learning Machine based IoT aware Smart Car Parking and Route Optimization for Intelligent Transportation

An Intelligent Transport System (ITS) is a wide-ranging framework that influences advanced technologies to improve efficiency of transportation networks. An ITS integrated with an IoT enhances the capabilities of transportation networks. Owing to quick development of vehicles, traffic congestion during road network is major problems. Therefore, intelligent traffic control system is required to create smart transportation through optimization of vehicle route, and so on. In this paper, Cox Regressive Fuzzified Outlier Robust Incremental Extreme Learning Machine (CRFORIELM) is developed for smart ITS. The IoT technology in IT’S is used to collect traffic data, vehicle information, Parking slot occupancy data. After data collection process, proposed CRFORIELM technique includes two major processing steps namely parking slot availability detection and traffic aware route optimization. The extreme learning machine includes three types of layers such as input, three hidden layers as well as output layer. Initial hidden layer predicts the parking slot availability using Cox regression is performed. With the parking lot availability predictions, integrate this information into a route optimization algorithm. This algorithm considers the real-time traffic conditions as well as parking availability for detecting optimal route by applying fuzzy triangular membership function in the second hidden layer. Finally, nearest route path is effectively determined to minimize travel time in intelligent transport system. Experimental analysis indicates that the CRFORIELM technique achieved 2%, 5%, 10% improvement in accuracy, sensitivity, specificity and reduced error rates, route detection time by 39%, and 36%, compared to existing methods.

Enhancing Customer Loyalty in the Cosmetic Industry: The Role of Store Location and Service Quality

In the midst of intense competition in the cosmetics industry, customer loyalty is an important key in maintaining the sustainability and existence of a company. This study aims to analyze the influence of store location and service quality on customer loyalty with customer satisfaction as a mediation variable. The investigation aims to understand the relationship between variables, the nature of mediation, and become a cornerstone in formulating practical implications for the cosmetic retail industry. The population in this study is all customers of the cosmetic industry in Badung Regency. The study obtained 150 valid samples. The data collection method is a survey method using questionnaires which was carried out offline and online through a link. The analysis technique used is an inferential analysis technique with Partial Least Square (PLS) to analyze relationships among latent constructs by modeling both the measurement and structural components of a theoretical model. The results showed that there is a significant relationship between store location and service quality to customer loyalty both directly and indirectly through customer satisfaction and this is a partial mediation, suggesting that there are other factors not included in the research model that could explain the relationship between store location and loyalty, as well as service quality and loyalty. The suggestion proposed to increase customer loyalty in cosmetic retail is to pay attention to the availability of parking lots, location convenience, and ease of accessing store locations. In addition, the quality of service can be improved through supporting facilities and infrastructure, the ability of marketers to welcome customers and provide a good value and experience to customers that can be done through trained employees.

Mathematical Modeling of a Fuzzy Logic-Based Car Parking System

This paper presents the mathematical modeling of a fuzzy logic-based car parking system. Many people are facing problems parking vehicles in parking lots in most urban cities. The technology of fuzzy-based systems is necessary for all vehicle users to acquire parking slots in cities. A smart parking system helps in obtaining information about available parking spaces, organizing and processing it, and then placing the car in a certain position. The method adopted makes use of a fuzzy-based smart car parking system to develop the usage of small parking spaces for parking lots to allow the parking of vehicles based on their weight. A set of rules was used in the fuzzy logic to control two sets of parking decisions, namely the vehicle entry decision and the inpark decision, by bearing in mind the weight of vehicles and the availability of parking spaces in the parking mall. The results obtained show that the smart car parking system keeps the availability of parking lots in equilibrium, depending on the entry and exit of vehicles. In conclusion, it was discovered that the total number of vehicles granted entry at each time interval depends on the availability of parking lots on each designated floor.

MZ세대의 퍼스널 트레이닝 센터 선택속성에 대한 IPA 분석 : 부산지역을 중심으로

Purpose: The purpose of this study is to present a generation MZ inflow strategy and a plan to establish and improve a new marketing strategy by analyzing the attributes of training centers recognized s important by generation MZ users, using the importance-performance analysis (IPA).BR Method: To achive this, 332 users of the generation MZ who utilized a personal training center in the Busan area were selected as subjects, and a questionnaire was sued to collect data. Data processing involved the use of SPSS Window Version 28.0, and involved reliability analysis, exploratory factor analysis, frequency analysis, paired-sample t-test, and IPA analysis.BR Results: The study revealed that the following attributes were important for generation MZ users: leader’s personality and communication style, sincere guidance from the leader, long-term discounts and event benefits, home accessibility, and provision of free sportswear and towels (quadrant 1). Additionally, cleanliness of changing rooms and shower rooms and internal temperautre and ventilation facilities were also found to be important (quadrant 2). Safety facility and emergency supplies, parking lot availability, onetime experience cost, one-month use cost, one-time PT cost, and vending machine availability were also important (quadrant 3). Lastly, the appearance, career and academic background of the leader, and convenience of public transportation were idenBR Conclusion: Based on these results, it can be concluded that generation MZ users value facility cleanliness and internal ventilation when selecting a personal training center. Therefore, it is recommended that feedback from the MZ generation be utilized to improve the hygiene and cleanliness of facilities, by reflecting the characteristics of this generation who are familiar whit social media and frequently share their experiences. Additionally, an indoor space can be provided for MZ generation’s social media activities, as this can lead to effective marketing through this group.

Detection of car parking space by using Hybrid Deep DenseNet Optimization algorithm

AbstractInternet of Things (IoT) and related applications have revolutionized most of our societal activities, enhancing the quality of human life. This study presents an IoT‐based model that enables optimized parking space utilization. The paper implements a Hybrid Deep DenseNet Optimization (HDDNO) algorithm for predicting parking spot availability involving Machine Learning (ML) and deep learning techniques. The HDDNO‐based ML model uses secondary data from the National Research Council Park (CNRPark) in Pisa, Italy. Different regression algorithms are employed to forecast parking lot availability for a given time as part of the prediction process. The DenseNet technique has generated promising results, whereas the HDDNO model yielded better accuracy. The use of five optimizers, namely, Adaptive Moment Estimation (Adam), Root Mean Squared Propagation (RMSprop), Adaptive Gradient (AdaGrad), AdaDelta, and Stochastic Gradient Descent (SGD), have played significant roles in minimizing the loss of the model. The part of Adam has enabled the HDDNO model to generate predictions with high accuracy 99.19% and low loss 0.0306%. This proposed methodology would significantly improve environmental safety and act as an initiative toward developing smart cities.

Deskripsi Objek Wisata Kawasan Pesisir Kali Biru

Problems that often arise in tourist objects, namely inadequate and supportive infrastructure facilities. Infrastructure that is often a concern is road access to tourist attractions, availability of parking lots, landfills to public toilets. The research objectives were to describe: 1) the condition of the Kali Biru tourist attraction; and 2) the tourism potential of Kali Biru. The method used in this research is descriptive qualitative method with 25 respondents. The data in this study were collected through observation, interviews and documentation. The results of the study show that: 1) the Kali Biru tourist attraction has tourism potential which can be seen in terms of adventurer potential which includes accessibility and infrastructure contained in the Kali Biru tourist attraction. These potentials vary from those that are still maintained to those that are not maintained so that more attention is needed, repairs and improvements in a better direction; 2) The beauty of the sea water at the location of the tourist attraction is also a potential main natural attraction in Kali Biru. The clear blue and clean sea, the presence of coral reefs, geomorphological appearance in the form of views around directly facing mangroves and there is a sunrise, can spoil the eyes of tourists to visit again.

Patient satisfaction and quality of hospital care

The analysis summarises the experience of a sample of patient at the University Polyclinic in Messina (Italy) and provides a detailed assessment of the satisfaction of patients experiencing healthcare at different Departments. Information collected through a specific survey allowed to build a dataset with more than 350 observations. Regressors were carefully selected and compared through a radar chart. The estimation of a logistic model was then carried out. The results outlined the relevant factors for patient satisfaction: they depend both on the ambulatory where the care is provided and the judgement about quality of care. Other crucial factors in determining a higher satisfaction were the availability of parking lots, the cleaning of structures and the judgment on physicians, the latter endorsing the probability of being highly satisfied when expectations on physicians’ competences and professionalism are confirmed. The “Contact details”, i.e., the indications of the people to contact in case of need, strengthen the overall patients’ positive experience. The study enriches the existing literature on patient satisfaction and is aimed at rethinking the organization of the health assistance offered at University Polyclinics, outlining the aspects to improve, with the objective to guarantee the highest patient satisfaction.

IoT and XBee Based Central Car Parking Management System

Parking in congested places frequently leads to major issues like air pollution, traffic jams, etc. This paper presents a prototype for an Internet of Things (IoT) based central car parking management system that attempts to minimize car parking problems. The proposed system is relatively low-cost, scalable and consumes less power compared to other parking systems. This system uses Arduino microcontroller-based TCRT5000 infrared sensors to detect vehicles in the parking spaces. XBee peripheral modules are located in different parking lots at different locations to transmit the sensed data to XBee central module that is placed close to the parking lots. The central node then updates all data to the Blynk IoT platform via Wi-Fi wireless technology present in the NodeMCU board. The availability of parking lots can be viewed using a smartphone through Blynk application.

Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems

In crowded cities, searching for the availability of parking lots is a herculean task as it results in the wastage of drivers’ time, increases air pollution, and traffic congestion. Smart parking systems facilitate the drivers to determine the information about the parking lot in real time and book them depending on the requirement. But the existing smart parking systems necessitate the drivers to reveal their sensitive information that includes their mobile number, personal identity, and desired destination. This disclosure of sensitive information makes the existing centralized smart parking systems more vulnerable to service providers’ security breaches, single points of failure, and bottlenecks. In this paper, an Improved Asymmetric Consortium Blockchain and Homomorphically Computing Univariate Polynomial-based private information retrieval (IACB-HCUPPIR) scheme is proposed to ensure parking lots’ availability with transparency security in a privacy-preserving smart parking system. In specific, an improved Asymmetric Consortium Blockchain is used for achieving secure transactions between different parties interacting in the smart parking environment. It further adopted the method of Homomorphically Computing Univariate Polynomial-based private information retrieval (HCUPPIR) scheme for preserving the location privacy of drivers. The results of IACB-HCUPPIR confirmed better results in terms of minimized computation and communication overload with throughput, latency, and response time with maximized drivers’ privacy preservation. Moreover, the proposed fully homomorphic algorithm (FHE) was compared against partial-homomorphic encryption (PHE) and technique without encryption and found that the proposed model has quick communication in allocating the parking slots starting with 24.3 s, whereas PHE starts allocating from 24.7 s and the technique without encryption starts at 27.4 s. Thus, we ensure the proposed model performs well in allocating parking slots with less time and high security with privacy preservation.

Energy Management Strategy of a Green Port Serving Emission-Free Ferries Considering EV Parking Lot Availability

Energy Management Strategy of a Green Port Serving Emission-Free Ferries Considering EV Parking Lot Availability

Rekayasa Tempat Parkir Kendaraan Mobil Berbasis Teknologi Informasi

The availability of parking lots is a must for perkatoran, shopping centers (malls), universities and others. Along with the ability of the public to have vehicles, both two-wheeled and four-wheeled vehicles, it makes parking spaces difficult and takes a long time to get a parking space, this is because there is no service regarding information on the availability of empty parking slots, so there is no marker to know whether the parking lot is fully filled or not. It is necessary to design a parking monitoring system tool, which aims to provide information on the availability of parking slots. Using the application design method by utilizing several object detection sensors including the Infrared Proximity Sensor and using the Message Queuing Telemetry Transport (MQTT) protocol which functions as a wireless communication protocol. The results of this study show that the system works as expected, that the sensor can detect parking objects that are filled or still empty and the system data communication also works well, namely the sensor sends data to wemos D1, then sent to the MQTT Broker (server) then resumes to wemos D1 and then the data is sent to the message viewer device, namely monitors and LEDs. The LED light as an indicator gives a message, if the LED lights up in green, it means that the parking lot is not filled and if the LED lights up red, it means that the parking slot is filled.

Smart Parking System Mobile Application using Ultrasonic Detector

Finding an empty parking lot is a big challenge as it can take lots of time and resources. This paper describes the design and development of a prototype of a smart parking system for assisting the vehicle drivers who always experiencing problem in finding indoor parking lots. The objectives of the proposed system are to develop a IoT parking lot system utilizing ultrasonic sensor to detect the presence of a vehicle and to develop a mobile application to display the parking lot layout for assisting car drivers to locate an empty parking lot.For the controller unit, it consists of the Arduino UNO microcontroller which is programmed using JavaScript language. Arduino is used to control the sensor, build a connection with the firebase server and update any changes in the hardware to the firebase. This enables the ultrasonic transmitter and collects the sensing data to be passed to the data transmission and acquisition unit. Once the ultrasonic sensor detects a car, the signal is read and processed by the microcontroller before it is sent to the server to update the status of the parking availability. The accuracy of vehicle detection is 100% with a standard deviation for sensor A0 and sensor A1 are 0.5 and 0.32 respectively. The display result of the parking lot availability is automatically updated in the mobile phone application in real-time.

The Application Of Web-Based Online Parking Reservation

The availability of parking lots being unresolved problems on the campus of Trisakti University because of the many civitas akademika which carries cars and limited parking. Parking system in use today is still the conventional with the regulations by parking attendants. For it is required an online parking reservation application system based web in addressing these barriers. The design of this system using the method Waterfall in the development of the system.Research methods the Analysis consists of a Waterfall will analyze problems and needs through the collection of data for the application of web-based online parking reservation, then proceed with the Design phase to make the draft application the system interface. Model design of engineering system using Activity diagrams, Use Case diagrams, Sequence Diagrams, and Class diagrams.From the results of the performed system design there are three actors, namely, the first User who can see the availability of the parking lot to do a parking reservation, among others, can choose the dates, hours, and parking lots so as to obtain a unique code to enter parking . The second is the actor who can do Admin input availability of parking in any parking area is available to perform a unique code input arrival and unique code input out of the user to receive parking costs which have been calculated from the system. The third actor i.e. Owner can perform the input the date, the hour, the land, types of vehicles, parking fee and can see the transaction reports. Class diagrams are formed is User, reservations, deals, Timeline, Rates for parking, and the type of vehicle.

A Literature Review on Caching Transient Contents in Vehicular Named Data Networking

Vehicular Named Data Networking (VNDN) is a revolutionary information-centric architecture specifically conceived for vehicular networks and characterized by name-based forwarding and in-network caching. So far, a variety of caching schemes have been proposed for VNDN that work in presence of static Data packets, like traditional Internet contents. However, with the advent of Internet of Things (IoT) and Internet of Vehicles (IoV) applications, large sets of vehicular contents are expected to be transient, i.e., they are characterized by a limited lifetime and become invalid after the latter expires. This is the case of information related to road traffic or parking lot availability, which can change after a few minutes—or even after a few seconds—it has been generated at the source. The transiency of contents may highly influence the network performance, including the gain of in-network caching. Therefore, in this paper, we consider the dissemination of transient contents in vehicular networks and its effects on VNDN caching. By providing a detailed review of related work, we identify the main challenges and objectives when caching transient contents, e.g., to avoid cache inconsistency, to minimize the Age of Information (AoI) and the retrieval latency, and the main strategies to fulfill them. We scan the existing caching and replacement policies specifically designed for transient contents in VNDN and, finally, we outline interesting research perspectives.

MODIFICATION OF ALEXNET ARCHITECTURE FOR DETECTION OF CAR PARKING AVAILABILITY IN VIDEO CCTV

The difficulty of finding a parking space in public places, especially during peak hours is a problem experienced by drivers. To assist the driver in finding parking space availability, a system is needed to monitor parking availability. One study to detect the availability of parking lots utilizing CCTV. However, research on the availability of parking spaces on CCTV data has several problems, detecting parking slots that are done manually to be inefficient when applied to different parking lots. Also, research to detect the availability of parking lots using the Convolution Neural Network (CNN) method with existing architecture has many parameters. Therefore, this study proposes a system to detect the availability of car parking lots using You Only Look Once (YOLO) V3 for marking the parking space and proposed a new architecture CNN called Lite AlexNet which has few parameters than other methods to speed up the process of detecting parking space availability. The best accuracy of the marking stage using YOLO V3 is 92.31% where the weather was cloudy. For the proposed Lite AlexNet get the best time training average which is 7 second compare to other existing methods and the average accuracy in every condition is 92.33% better than other methods.

Consumer needs and consumer satisfaction in the creation of co-working space café business concept

The co-working space café business grew faster in the last decade. Students and freelancers use these cafés to do their daily activities. This type of café provides food, beverages, and comfortable place to work. This new demand encourages business owners to think further. The growth of cafés triggered by new working style demanding shared work facilities and networking access. Visitors can enjoy meal and drinks while working on their assignments independently or within their work team. Information on consumer needs as well as satisfaction are not clearly formulated yet. The purpose of this research to analyse the important attributes that customers need and attributes that can satisfy them when they use co-working space café. The data were collected using questionnaires from 100 respondents in 5 locations of co-working space cafés located in Yogyakarta. The results show that the required attributes by the consumer are the availability of electrical plugs, indoor air conditioning, varied and tasty food, Google maps access, availability of parking lots for motorcycles and cars, friendly and informative employees, and ease of booking. Attributes that can satisfy consumer are the atmosphere and interior aesthetics, availability of indoor and outdoor space, the availability of promotion programs, and flexibility of payment.

Survey to Explore Behavior, Intelligent Transportation Systems Needs, and Level of Service Expectations for Student Parking at a University Campus

University campuses generate large volumes of traffic, with students forming the largest user class with distinctive trip characteristics. This study examined the parking choices of students at a large urban campus. A student survey was conducted with 1,022 respondents to collect data on students’ parking behavior, intelligent transportation systems (ITS) needs, and level of service (LOS) expectations. The survey results included home-to-campus mode choices, arrival time buffers, parking locations, “last-mile” mode choices, and factors that influence the type of permit to purchase. Online permit sales, flexible parking zones, and real-time parking lot availability information were the three most preferred ITS enabled services. Using the survey feedback, new LOS criteria for parking search time are proposed, which range from up to 2 min for LOS A, to longer than 15 min for LOS F. This research makes several contributions. The survey results not only contribute to a better understanding of student transportation choices and parking patterns on campus, but the list of preferred ITS enabled services also gives the university valuable user feedback on where to improve the campus parking experience. More importantly, the LOS criteria for parking search time provides a new tool for traffic engineers to measure the quality of service of a parking facility. Although the survey was conducted on a particular campus, information gathered for the ITS enabled services for parking and LOS criteria for parking search time are likely to be transferable to other university campuses.

Development of “City parking” mobile application

Problem statement. Nowadays, the problem of free parking places in big cities has arisen drastically. The most problematic part of the city for car owners is the city centre with little space for parking and constantly growing car traffic. That is why the availability of parking lots and convenience of their choice are ones of the most important criteria for car usage for in-city trips. Goal . Considering that one of the biggest problems of big cities is parking, the aim of this project is investigation and solution of one of its aspects. Namely, minimizing the inconvenience for drivers of vehicles in the process of finding and placing a car in a parking lot by providing relevant information to parking owners. Methodology . During design stage IDEF0 function modelling methodology and Unified Modelling Language UML were used. Results . To solve the problem, an analysis of the state of the issue was carried out, as well as existing developments to solve this problem were analyzed. The results of the analysis highlighted the main advantages and disadvantages of existing applications. Based on the research results, the concept of the City Parking project was formulated, the roles and characteristics of users were determined, a context diagram, a tree of functions, user stories, scenarios of cases and a user interface layout were developed. Scientific novelty . Based on the research results, requirements to the information system that will operate in Kharkiv city were developed. Practical significance . The developed requirements are the first step in the design process of the application “City Parking”. Based on the requirements, a high-level system design, programming and testing of the system will be performed.