Location Of Vendors Research Articles

Designing the UI/UX for a Shoe Repair Application Using the Design Thinking Method

The process of designing a mobile application requires a user-centered approach that addresses real-world problems through innovation and creativity. This study focuses on applying the Design Thinking method to develop the UI/UX for a shoe repair service application, aimed at enhancing the user experience for both customers and service providers. The Design Thinking process consists of five stages: empathize, define, ideate, prototype, and test. Through these stages, the study identifies key pain points, such as customers’ difficulties in locating service providers and estimating repair times, and service providers’ challenges in managing customer flow and payment methods. Solutions generated include real-time updates on vendor locations, transparent wait times, and multiple payment options. Prototypes were developed and tested to assess usability, with the research highlighting the need for continuous iteration to improve user experience. The usability testing revealed mostly positive results, with an average usability score of 88.8 across scenarios. However, certain areas, particularly screens in scenario 5, showed higher error rates and required further refinement. This study demonstrates the effectiveness of the Design Thinking method in solving complex design challenges, offering innovative solutions tailored to user needs. The Shoe Repair application’s design not only enhances functionality but also addresses specific challenges faced by users, emphasizing the importance of an iterative, user-focused approach in UI/UX design

Design of a Mobile-Based Wedding Information and Booking System using Backend as a Services (BaaS) on android platform

Nowadays, wedding organizer services have become a necessity in wedding events. However, it is often found that bookings are made manually to the vendor's location which results in impracticality. This research aims to build an application that brings practicality in the field of wedding organizers. Later this application has an online booking function carried out by wedding bookers and can establish communication with vendors in making wedding bookings. The focus of the research is to provide practicality to bookers and vendors. This research uses the Case Study method, interviews and observations conducted at Omah Kebon Resto as a case study. The application was built based on Android with Cloud Baas services on the Firebase platform for database management. The final evaluation was carried out by distributing questionnaires to respondents for the level of satisfaction of using the application built. The results stated that 37.12% of respondents were very positive, 45.41% stated positive, 13.54% stated neutral, and 3.93% stated negative. So, it can be concluded that respondents feel positive if this application can help practicality in getting information and booking wedding organizer vendors.

Logistic regression for predicting the location of vegetable vendors in the city of Raipur, Chhattisgarh, India

Urban planning plays a pivotal role in guaranteeing the functionality, accessibility, and adaptability of cities to meet the needs of their diverse population and various official and informal economic activities. The primary objective of this work is to investigate the application of machine learning techniques in the identification of optimal places for vegetable vendors within the urban context of Raipur City, India. While logistic regression has been used in previous studies to address issues such as soil erosion, land susceptibility mapping, and identifying potential sites for health facilities and mining exploration, this model has yet to be applied to determining suitable locations for vegetable vendors. This gap in research could be beneficial if addressed, particularly in India, where many city residents rely heavily on vegetable vendors for their dietary needs. The paper’s main focus is on evaluating the reliability of the model and encouraging its implementation in similar scenarios, highlighting its efficiency and adaptability, which are also evaluated in this study. A stratified random sampling technique was implemented to collect data from four different regions of Raipur City. Subsequently, the gathered data was subjected to analysis employing the logistic regression machine learning technique, with the objective of making predictions. The results obtained from the analysis were highly impressive, as the model successfully predicted 44 out of the total 50 locations with an accuracy rate of 88%.

South Australia's tobacco retail landscape and its intersection with socioeconomic factors and smoking prevalence.

Tobacco product availability is higher in socioeconomically disadvantaged areas, which can further widen tobacco-related health and disease burden inequities. This study aimed to describe retail availability of tobacco products in South Australia and examine the association between tobacco vendor location, population's socioeconomic status (SES) and tobacco smoking prevalence. Cross-sectional 2022 tobacco vendor licence data and 2021-2022 state-wide population health survey data from the South Australian Department of Health were used. Tobacco vendors were enumerated by Statistical Area 2 (SA2) using geocoding software, with SA2s assigned health survey derived smoking prevalence, SES, remoteness category, area size, and population size. As of 2022, there were 1723 tobacco vendors in South Australia and the overall tobacco smoking prevalence across the state was 11.8%. Regression analyses indicated that tobacco vendor density increased with socioeconomic disadvantage and geographic remoteness, and that smoking prevalence was higher in low SES areas. Vendor density was not related to smoking prevalence. Findings are consistent with existing research indicating greater tobacco availability in socially disadvantaged areas. This supports that tobacco vendor saturation may be directed to areas in a way that promotes tobacco availability for vulnerable populations. Our finding that smoking prevalence was unrelated to tobacco availability contrasts existing literature and should be carefully interpreted. SO WHAT?: This is the first study to map tobacco retailers across South Australia, contributing needed evidence on the intersection of tobacco vendor density, social disadvantage, and smoking prevalence.

Strategi Dalam Penataan Pedagang Kaki Lima Di Kawasan Pantai Padang

The purpose of the issuance of Regional Regulation No. 3 of 2014 is so that street vendors can meet the requirements and be monitored so they can move to a place provided by the Padang City Government. This decision was taken to create 6 cities of Padang that are comfortable, safe and beautiful. According to a survey conducted by researchers, the location of street vendors (PKL) has a very negative effect on the smoothness, cleanliness and orderliness of public spaces, which of course needs government support or government mapping to create comfort and convenience. Running road use works fine. With these considerations, the authors are interested in further analyzing regional regulations related to the arrangement and empowerment of street vendors in order to understand the real facts. Therefore, the author presents a mini study entitled "Strategy in structuring street vendors in the Padang Beach area".

Integrated optimization of inventory, replenishment, and vehicle routing for a sustainable supply chain utilizing a novel hybrid algorithm with carbon emission regulation

An integrated approach of making supply chain decisions has been proven to be more cost-effective compared to the strategy of taking supply chain decisions sequentially. It has influenced researchers to break the norm and focus on integrated supply chain decision-making. Considering this an integrated sustainable supply chain network for a single vendor and multiple buyers is formulated along with trade credit policy. The vendor offers a trade credit policy to its buyers. Emissions generated from production, vehicle routing, and storage are taken into account. To minimize carbon emissions, a cap & trade policy is applied. The buyers are served by a fleet of vehicles available at the vendor location. Considering the aforementioned scenario, a mathematical formulation is developed so as to minimize the overall total cost subject to a set of constraints. The integrated decisions regarding production, inventory management, vehicle routing, and carbon emissions are taken. Besides this, a unique metaheuristic technique is also suggested to solve the proposed problem. The solutions obtained through the process of well-known genetic algorithm are further improved during the ruin and recreate phase of the hybridized algorithm named as GA-RR. An in-depth empirical examination of GA-RR algorithm is also done through a quantitative analysis of exploration and exploitation. To better illustrate the proposed mathematical problem, two numerical examples are also demonstrated. It is followed by an extensive sensitivity analysis of the various input parameters so as to highlight important results. It can be concluded that GA-RR outperforms other existing metaheuristic techniques for the proposed mathematical problem.

Formation of a Tool for the Prediction of the Location of Vegetable Vendors in Raipur, Chhattisgarh

Vegetable vendors play an important role in the daily life of common people in urban India. It is often observed that the vegetable vendors locate themselves in certain places, which are suitable for both the vendors and buyers. Therefore, predicting their location is a significant factor in urban planning at a micro level, i.e., tier II cities. Thus, the current study formulates a model for the identification of the location of vegetable vendors in an Indian tier II city. In this paper, an attempt has been made to find a tool that would predict the location of vegetable vendors, taking the Indian city of Raipur (Chhattisgarh) as a case. Analytical Hierarchy Process and Logistic Regression methods are used to predict the location. The tool, thus, arrived and hence successfully predicted (with about 88% accuracy) the location of vegetable vendors of Raipur. Keywords: analytical hierarchy process, location, logistic regression, prediction model, vegetable vendor. https://doi.org/10.55463/issn.1674-2974.50.3.3

The single‐sourcing versus multisourcing decision in information technology outsourcing

AbstractAlthough using a single vendor when outsourcing information technology (IT) services (i.e., single‐sourcing) is commonplace, splitting the IT service package among multiple vendors (i.e., multisourcing) is an increasingly popular strategy. However, our understanding of the factors that contribute to this trend is limited. Guided by a thorough review of the extant literature and interviews with industry experts, we focus on the influence of emerging technologies (i.e., cloud‐based services and automation services), vendor location (i.e., offshore or domestic), and experiential learning (i.e., client and vendor experience) on the choice between single‐sourcing and multisourcing for IT services. The trend towards more multisourcing exemplifies a broader movement towards greater disaggregation and distribution of knowledge work. Thus, we utilize a knowledge‐based perspective to develop our hypotheses for how the aforementioned factors relate to the likelihood of multisourcing. Analyzing a large database of IT service contracts, we find that cloud‐based services are less likely to be multisourced, but automation services are not significantly associated with the likelihood of multisourcing. We also find that more experienced client firms are more likely to adopt multisourcing. Conversely, our results indicate that more experienced vendors and vendors located offshore are less likely to be part of multisourcing arrangements. Exploratory post hoc analyses yield additional interesting insights related to client and vendor location. These findings advance our understanding of the drivers of the single‐sourcing versus multisourcing decision in IT and more broadly contribute to the literature on technology sourcing. Our study has normative implications for both client and vendor management teams.

Dampak Sosial Ekonomi Relokasi Pedagang Kaki Lima di Kecamatan Buduran Kabupaten Sidoarjo

The purpose of this study was to describe the process of relocating street vendors, socio-economic impacts of the relocation of street vendors, enabling and inhibiting factors in the relocation of street vendors Buduran Sidoarjo District flyover. The method used is descriptive qualitative. The key informants in this study is a cooperative trade field staff, SMEs, Trade and Industry Sidoarjo. With the technique of collecting data through interviews, observation and documentation and then analyzed through the stages of data collection, data reduction, data presentation and conclusion. The results showed that the process of relocating street vendors are not in accordance with the stages of the relocation as stipulated in the Regulation of Home Affairs Number 41 Year 2012 which begins from the stage of data collection by the two surveys and registration of street vendors, determining the location of street vendors, transfer and removal of the location of street vendors, for the rejuvenation of the location of street vendors. Relocation was finally done by the Department of Hygiene and Sidoarjo Regency which take discretionary acts such policies. The social impact of the relocation of street vendors in the area overpass Buduran district, in terms of comfort PKL more comfortable. But in terms of security is still not fully awake. PKL majority income declined due to the lack of empowerment of government. The government also has obstacles in the relocation of street vendors because of the limited land available as well as street vendors mindset still comfortable selling on the shoulder of the road because there is no money to rent a place.

Integrated optimization of inventory, replenishment and vehicle routing for a sustainable supply chain under carbon emission regulations

Integrated decision regarding routing plan for vehicles, inventory management and operational adjustments confer minimum cost and emission for a supply chain network. In view of the aforementioned facts, this paper develops a sustainable supply chain inventory management (SSCIM) model for a single-vendor and multiple-buyers’ integrated approach considering item deterioration and imperfect production simultaneously. A fleet of vehicles available at the vendor location are assigned to serve the buyers. Emissions generated through production, rework, transportation, warehousing and disposal of deteriorated items are taken into consideration. For the purpose of a cleaner and sustainable environment, several emission regulatory policies, namely, carbon tax, carbon cap-and-offset and cap-and-trade, are implemented so as to alleviate the effect of carbon emission by reducing its volume. The aforesaid scenarios are mathematically formulated in a bi-objective framework minimizing both total cost and overall emissions simultaneously subject to a well-built set of constraints. The bi-objective SSCIM focuses on obtaining a trade-off between cost and emissions, thereby determining the optimal production–shipment policy and a proper routing plan for the fleet of vehicles. For better illustration of the developed theory, numerical experiments are also carried out followed by an extensive discussion on the sensitivity analysis for various parameters.

Implementation Model of Vendor performance assessment for information technology service provider in PT. Krafthaus Yogyakarta

Vendor performance assessments are important to improve the performance of vendors and to manage long time relationship between SMEs and their vendor. The case study used in this study was on SMES in Yogyakarta. Vendor performance assessment model in this study is using models that have been developed in previous studies. Criteria in the model are Honest, Responsibility, vendor reputation, communication, quality of vendor, timely delivery, price, document and administration, vendor location and flexibility. The implementation of the vendor performance assessment model at PT Krafthaus Yogyakarta aims to make PT Krafthaus easily assess the performance of the vendor and easy to manage the performance.

Prevalence of Salmonella enterica Isolated from Food Contact and Nonfood Contact Surfaces in Cambodian Informal Markets

The lack of hygiene and sanitation practices and insufficient infrastructure in Cambodian informal markets may increase the risk of food contamination, specifically raw vegetables, which in turn may increase the chances of contracting a foodborne disease. The aims of this study in informal markets in Cambodia were (i) to quantify the prevalence of Salmonella enterica based upon differences in season of the year (rainy versus dry), surface types (food contact surfaces versus nonfood contact surfaces), and location of vendors within the market (inside versus outside) and (ii) to characterize S. enterica serotype prevalence. A total of 310 samples were screened for S. enterica prevalence following the U.S. Department of Agriculture guidelines, and results were confirmed by PCR assay. Whole genome sequencing was used to determine the serotype for each isolate in silico using SeqSero 1.0 on draft genomes. A total of 78 samples were confirmed positive for S. enterica. During the dry season, S. enterica was more prevalent on food contact surfaces than on nonfood contact surfaces (estimated probability of detection [confidence interval]: 0.41 [0.25, 0.59] and 0.17 [0.08, 0.32], respectively; P = 0.002), but no differences were apparent in the rainy season. No differences in S. enterica prevalence were found based on location within the market (P = 0.61). Sixteen S. enterica serotypes were detected across multiple surfaces. The most common S. enterica serotypes were Rissen (18 isolates), Hvittingfoss (11), Corvallis (10), Krefeld (8), Weltevreden (6), and Altona (6). Accurate data on the prevalence of S. enterica in informal markets are crucial for the development of effective surveillance and implementation of suitable intervention strategies at the domestic level, thus preventing foodborne illness.

Pengamatan Pergerakan Limbah Minyak Goreng Berdasarkan Nilai Resistivitasnya dengan Menggunakan Metode Crosshole Dipole-Dipole

The area around of Jember University has potential as a trading area because the majority of its citizens are immigrants. This potential is utilized by street food vendors located around the University of Jember. Most street vendors dispose of waste i.e used cooking oil directly around trading locations. One methode to determine waste seepage in the soil is to use the geoelectric method with crosshole dipole-dipole configuration. This research is a laboratory scale research. The sample of soil and waste of used cooking oil were taken from the location of street vendors around Jember University. Based on the research results, the soil resistivity value before being given the waste is 2.78 Ωm to 7.52 Ωm. While the value of soil resistivity after given the waste of used cooking oil ranged from 0.01 Ωm to 5.15 Ωm. Observations from the first day to the seventh day indicate that the movement of waste used cooking oil occurs vertically due to gravity and in all directions due to capillarity.

Sustainable Street Vendors Spatial Zoning Models in Surakarta

Various strategies that have been carried out by Surakarta’s government to organize street vendors have not achieved the goal of street vendors’ arrangement comprehensively. The street vendors arrangement strategy consists of physical (spatial) and non-physical. One of the physical arrangements is to define the street vendor’s zoning. Based on the street vendors’ characteristics, there are two alternative locations of stabilization (as one kind of street vendors’ arrangement) that can be used. The aim of this study is to examine those alternative locations to set the street vendor’s zoning models. Quatitative method is used to formulate the spatial zoning model. The street vendor’s zoning models are formulated based on two approaches, which are the distance to their residences and previous trading locations. Geographic information system is used to indicate all street vendors’ residences and trading locations based on their type of goods. Through proximity point distance tool on ArcGIS, we find the closeness of residential location and previous trading location with the alternative location of street vendors’ stabilization. The result shows that the location was chosen by the street vendors to sell their goods mainly consider the proximity to their homes. It also shows street vendor’s zoning models which based on the type of street vendor’s goods.

Design and development of multi-tenant web framework

Traditionally business software has been hosted in the client's business, typically referred to as 'in-house' or 'on-premises' solution that is hosted on a client-owned server. In SAAS software deployment, for servicing multiple clients, vendors deploy same software instance in multiple machines like multiple instances. The implementation would be done in vendor or client location. This type of deployment model consumes more resources such as software implementation effort for each machine and hardware resources. Multi-tenant web application maintenance issues are usage calculation for application, tenant data security issue in database and file server, authorisation control for application resources access and application deployment platform management of resource usage monitor and control for service level agreement (SLA) for response time maintenance. Multi-tenant web framework (MWF) provides standard set of components and utilities that expedites the process of developing multi-tenant functionalities and converts an ordinary web application in to a multi-tenant enabled application. MWF consists of features that include authentication, authorisation, tenant tracking, application platform controller and securing tenant data.

Design and development of multi-tenant web framework

Traditionally business software has been hosted in the client's business, typically referred to as 'in-house' or 'on-premises' solution that is hosted on a client-owned server. In SAAS software deployment, for servicing multiple clients, vendors deploy same software instance in multiple machines like multiple instances. The implementation would be done in vendor or client location. This type of deployment model consumes more resources such as software implementation effort for each machine and hardware resources. Multi-tenant web application maintenance issues are usage calculation for application, tenant data security issue in database and file server, authorisation control for application resources access and application deployment platform management of resource usage monitor and control for service level agreement (SLA) for response time maintenance. Multi-tenant web framework (MWF) provides standard set of components and utilities that expedites the process of developing multi-tenant functionalities and converts an ordinary web application in to a multi-tenant enabled application. MWF consists of features that include authentication, authorisation, tenant tracking, application platform controller and securing tenant data.

Conjoint Analysis for New Service Development on Electricity Distribution in Indonesia

Many cases of illegal use of electricity in Indonesia is still rampant, especially for activities where the power source is not available, such as in the location of street vendors. It is not only detrimental to the state, but also harm the perpetrators of theft of electricity and the surrounding communities. The purpose of this study is to create New Service Development (NSD) to provide a new electricity source for street vendors' activity based on their preferences. The methods applied in NSD is Conjoint Analysis, Cluster Analysis, Quality Function Deployment (QFD), Service Blueprint, Process Flow Diagrams and Quality Control Plan. The results of this study are the attributes and their importance in the new electricity’s service based on street vendors’ preferences as customers, customer segmentation, service design for new service, designing technical response, designing operational procedures, the quality control plan of any existing operational procedures.

Compliance with Statutory Tobacco Guidelines in and around Schools in Mangaluru, India: An Observational Study

ABSTRACT Context Tobacco is the foremost cause of preventable death and disease in the world today, and India is the second largest consumer of tobacco products in the world. The Cigarettes and Other Tobacco Products Act (COTPA) promulgated in 2003 by the Government of India, not only mandates ban on the sale of tobacco within a 100-yard radius around schools, but also provides guidelines for tobacco-free schools. Aim To determine if the provisions of the COTPA are being complied with, in Mangaluru, India. Materials and methods A cross-sectional study was conducted among 30 randomly selected schools in Mangaluru, India. Information was collected regarding sale of tobacco at vendor locations within 100-yard radius of these schools. An interview schedule was administered to the representative of the school, pertaining to the guidelines for tobacco-free schools. Statistical analysis used The data were coded and analyzed using the Statistical Package for Social Sciences (SPSS) version 11.5. The level of statistical significance was kept at p < 0.05. Results There were 48 shops located within 100-yard radius of the schools, out of which 46 (95.8%) sold single cigarettes but only one shop displayed surrogate advertisement. Among the 30 schools surveyed, only 3 (10%) displayed signages prohibiting smoking. Although the guidelines for tobacco-free schools explicitly state that all schools must have a copy of the COTPA, only 3 (10.0%) schools maintained a copy. Conclusion This study showed that there was a widespread violation of Section 6 of the COTPA 2003 in Mangaluru, India. How to cite this article Priyanka R, Rao A, Rajesh G, Ramya S, Mithun PBH. Compliance with Statutory Tobacco Guidelines in and around Schools in Mangaluru, India: An Observational Study. World J Dent 2017;8(1):10-13.

Geographic and socioeconomic distribution of food vendors: a case study of a municipality in the Southern Brazil.

The objective of this study was to identify the food vendor distribution profile of the city of Florianópolis, Santa Catarina State, Brazil, and investigate its association with the socioeconomic and demographic characteristics of different municipal regions. This descriptive, cross-sectional study obtained the location of food vendors from secondary data from different institutional sources. The density of different types of food vendors per 1,000 inhabitants in each municipal weighted area was calculated. The Kruskal-Wallis test compared the mean density of food vendors and the weighted income areas. The lowest-income regions had the lowest density of butchers, snack bars, supermarkets, bakeries/pastry shops, natural product stores, juice bars, and convenience stores. The identification of these areas may encourage the creation of public policies that facilitate healthy food startups and/or maintenance of healthy food vendors, especially in the lowest-income regions.

Research Note—IT Outsourcing and the Impact of Advisors on Clients and Vendors

There is significant information asymmetry in the information technology (IT) outsourcing market. Clients are uncertain about vendors’ capabilities and vendors are uncertain about clients’ requirements. Prior literature has examined many devices to reduce such information asymmetry, e.g., vendor reputation, client-vendor prior relationship, vendors’ Capability Maturity Model (CMM) rating, vendor location, and technological diversity of the vendor. We examine the impact of (to our knowledge) a hitherto unconsidered device, i.e., the use of an advisor. In the context of global sourcing, third-party advisors, with their accumulated knowledge of client requirements and the vendor landscape, can mitigate the information asymmetry between clients and vendors. However, in an extensive data set of IT outsourcing contracts going back two decades we found use of advisors to be rare (less than 5% of contracts go through an advisor). This motivates us to rigorously analyze their impact on clients and vendors as an open empirical question. Using a data set of 753 large IT outsourcing contracts, and through a series of econometric specifications and robustness tests, we establish that the presence of an advisor is associated with higher revenue for vendors and more positive contract outcomes. This analysis presents what is to our knowledge the first concrete evidence that third-party advisors can mitigate the information asymmetry in the IT outsourcing market and lead to better matching that benefits clients as well as vendors.