Perancangan Komunikasi Brand Untuk Perusahaan Mandiri Makmur

Mandiri Makmur adalah perusahaan yang bergerak di bidang jual beli barang yang menjual gagang kawat yang dijual ke perusahaan yang membutuhkan gagang kawat untuk produk timbah mereka, Mandiri Makmur berdiri pada tahun 2012 selama ini Mandiri Makmur melakukan marketing secara tradisional yaitu menggunakan word of mouth dan juga direct marketing yang setelah dievaluasi kurang mengkomunikasikan value dari produk mandiri makmur dan tidak dapat menyebarkan brand awareness. Penelitian ini bertujuan untuk mengetahui strategi marketing untuk promosi perusahaan Mandiri Makmur yang dapat meningkatkan brand awareness dan dapat mengkomunikasikan value produk yang dapat menarik perusahaan menengah. Penelitian ini menggunakan metode studi literatur dari buku dalam kurun waktu 10 tahun dan jurnal dalam kurun 5 tahun terakhir yang membahas tentang strategi marketing dan media sosial apa yang cocok digunakan oleh perusahaan Mandiri Makmur. Terdapat juga metode kuantitatif 3 narasumber dengan background sosial media expert dan desainer sebagai expert user dan juga 3 extreme user yang adalah pengguna produk. Metode kuantitatif juga dilakukan dengan menggunakan 100 responden yang memiliki bisnis di Indonesia. Kesimpulan ini didapatkan bahwa strategi marketing yang cocok untuk menyebarkan brand communication dan brand awareness dari perusahaan mandiri makmur adalah strategi AIDA yang menggunakan sosial media dikarenakan strategi tersebut dapat menarik perhatian dan membuat target audience dapat terus melakukan transaksi dengan perusahaan Mandiri Makmu

The Impact of Social Media Information Literacy on Malaysian Youth’s Emotional Intelligence

Social media has evolved into a network that helps users find information. Social media platforms like Facebook, Twitter and Instagram are now important sources of up-to-date news and information. In order to give people the ability to assess, inform about potential threats or effects, and be aware of false information in the network, social media information literacy (SMIL) has been developed. However, that social media can have negative emotional effects that decrease in emotional quotient (EQ) among young people will directly lead to social problems like crime. In this quantitative study, Malaysian youth between the ages of 19 and 40 were examined to determine the impact of social media information literacy (SMIL) on emotional intelligence (EQ). 241 students from three universities in Malaysia who were selected through proportional stratified random sampling and simple random sampling made up the respondents. Data are gathered using a "Google Form" questionnaire and data analysis uses descriptive and inferential statistical analysis to get the results. Social media information literacy (SMIL) and emotional intelligence (EQ) were found to be significantly correlated by Pearson correlation inference analysis. The results of this study have implications for institutions seeking to develop human capital, technology, and media. Other organizations interested in exploring the field of social media information literacy (SMIL) and emotional intelligence (EQ) can use it to meet the sustainable development goals (SDG) in digital sustainability as recommended by UNESCO

Enhancing Employability for Autistic Graduates: Using TRIZ Theory to Design Virtual Reality Solutions for Fostering Inclusive Communications in Workplace Environments

The underemployment of post-secondary graduates with autism AP-PSD is a critical concern This issue often stems from difficulties in workplace integration and communication This research explores the potential of virtual reality VR systems to alleviate these challenges by simulating work environments The methodology rooted in the TRIZ Theory a problem-solving algorithm refines the use of VR systems for enhanced adaptability and efficiency The primary objectives include enhancing employers understanding of AP-PSD-related issues and identifying significant workplace challenges faced by AP-PSDs Through literature reviews surveys and focus groups the study investigates the factors impacting AP-PSDs and identifies key components to develop a more effective VR system to support their workplace integration The research also scrutinizes existing technological adaptations that could improve situation recognition communication and understanding in the workplace Additionally the potential role of human supervision in conjunction with VR technology support for AP-PSD employees is considered The results suggest that regardless of company size supporting AP-PSDs in the workplace is a feasible goal that can enhance their wellbeing Crucially the AP-PSD s active participation in their own integration process which encompasses training human support and environmental adaptations along with the specific involvement of the human resources manager has proven vital With the right accommodations AP-PSDs can demonstrate up to 30 greater productivity than neurotypical employees offsetting accommodation costs This research emphasizes the need to blend human-centered approaches with technological innovations to boost AP-PSDs employability Though industry-specific integration details are beyond the scope of this study the results underline the potential for tailored solutions aligned with each company s unique culture The paper presents a prototype for further co-design phase

Enhancing Employability for Autistic Graduates: Using TRIZ Theory to Design Virtual Reality Solutions for Fostering Inclusive Communications in Workplace Environments

The underemployment of post-secondary graduates with autism (AP-PSD) is a critical concern. This issue often stems from difficulties in workplace integration and communication. This research explores the potential of virtual reality (VR) systems to alleviate these challenges by simulating work environments. The methodology, rooted in the TRIZ Theory, a problem-solving algorithm, refines the use of VR systems for enhanced adaptability and efficiency. The primary objectives include enhancing employers\u27 understanding of AP-PSD-related issues and identifying significant workplace challenges faced by AP-PSDs. Through literature reviews, surveys, and focus groups, the study investigates the factors impacting AP-PSDs and identifies key components to develop a more effective VR system to support their workplace integration

Adopción de tecnologías de Inteligencia Artificial : un estudio para las empresas en Colombia

Este documento proporciona una descripción completa de la adopción de tecnologías de Inteligencia Artificial (IA) por parte de las empresas colombianas discriminando el análisis por sectores económicos al aprovechar un nuevo módulo presentado en la Encuesta Pulso Empresarial (EPE) del Departamento Administrativo Nacional de Estadística (DANE) en 2022. El módulo recopila datos de más de 8500 empresas sobre la adopción, razones de uso y no uso de tecnologías de IA. Se encuentra que la organización de procesos administrativos es la principal motivación para adoptar IA mientras que los costos de adquisición y la falta de experiencia para el uso son las barreras más importantes implementar tecnologías de IA. Mediante un modelo de probabilidad se evidencia que, entre otros factores, usar internet, plataformas digitales, hacer inversión en equipos de software, realizar actividades de investigación y desarrollo, incrementan la probabilidad de adoptar dichas tecnologías. En la investigación se añade como elemento innovador un conjunto de variables sobre percepciones y expectativas que tienen las empresas en cuanto a la situación económica presente y futura y su influencia en la adopción de tecnologías de IA.This document provides a broad description regarding the adoption of Artificial Intelligence (AI) technologies in Colombian companies. We managed to discriminate the analysis by economic sectors using a new module presented in the Encuesta Pulso Empresarial (EPE) of the National Administrative Department of Statistics (DANE) in 2022. The module collects data from more than 8,500 companies on the adoption, reasons for use and non-use of AI technologies. During the investigation, we discovered that organizing administrative processes is one of the main issues that the implementation of AI would solve. Nonetheless, high acquisition costs and lack of experienced personnel capable of using AI makes its implementation more difficult. Through a probability model, it is evident that, among other factors, using the Internet, digital platforms, investing in software equipment, carrying out research and development activities, increase the probability of adopting AI technologies. These research adds as an innovative element a set of variables considering perceptions and expectations that companies have related to present and future economic situations and its influence on the adoption of AI technologies

Spatial Analysis of Smart City Indicators Based on the Internet of Things (IoT) in the Metropolis of Mashhad

AbstractThe concept of a smart city involves utilizing information and communication technology to improve the livability and sustainability of urban areas and unique locations, thereby promoting innovation and entrepreneurship. The extensive use of digital sensors and control systems for managing urban infrastructure has led to the development of various applications with the Internet of Things (IoT) playing a crucial role in enabling new services and enhancing interaction levels. As this technology continues to progress, it holds the potential to transform every aspect of human life. This research aimed to conduct a spatial analysis of smart city indicators, particularly those related to the IoT across 13 regions of Mashhad metropolis. This study took an applied approach with a descriptive-analytical nature by utilizing both documentary (library) and field (questionnaire) data collection methods. The sample consisted of residents from 13 regions within Mashhad metropolis with a sample size of 171 questionnaires determined based on the 2016 population of 3,062,242. The questionnaires were distributed proportionately across each region. The data analysis was conducted by using SPSS software and decision-making methods, such as MEREC and COCOSO. Furthermore, the structural equation modeling approach (Smart PLS) was employed for a comprehensive analysis. The research findings indicated that Regions 9, 1, and 4 showed the highest levels of smart city indicators based on IoT in Mashhad, while Regions 3, 12, and 10 exhibited the lowest levels. According to the results of the PLS structural equation modeling test, the variable of smart governance showed the highest overall impact coefficient (1.523) on the IoT-based smart city followed by smart economy (1.256), smart citizen (0.895), smart environment (0.687), smart mobility (0.622), and smart living (0.160).Keywords: Smart City, Internet of Things (IoT), Information and Communication Technology, Mashhad Metropolis.IntroductionA smart city is a sophisticated ecosystem that leverages advanced information and communication technologies to enhance the appeal and sustainability of urban areas and distinctive locations, fostering innovation and entrepreneurship. The widespread adoption of digital sensors and control systems for managing urban infrastructure has facilitated various applications with the Internet of Things (IoT) emerging as a solution for delivering new services and enhancing interactive experiences. In recent years, the concept of smart cities has gained traction in Iran with cities, such as Urmia, Isfahan, Tehran, Mashhad, and Tabriz, being recognized as smart cities. Due to its rapid growth and development, as well as social, economic, and environmental changes in line with new needs, Mashhad City needs to provide services that are suitable and deserving for its residents, especially considering the significant number of domestic and foreign pilgrims, who visit the holy shrine of Imam Reza annually. Therefore, the indigenous capacities of the city alone are not sufficient for its development and the collaboration of various sectors, especially the communication and IT sectors, is necessary to elevate and progress it in new areas. Hence, this paper aimed to examine the distribution status of IoT-based smart city indicators in 13 districts of Mashhad municipality and answer the question of how the current status of IoT-based smart city indicators was in the mentioned districts. Materials and MethodsThis research was applied in terms of its objective and descriptive-analytical in terms of its nature and method. The data collection method included both documentary (library) and field (questionnaire) researches. The sample consisted of residents from the 13 districts of Mashhad metropolis. Cochran formula was used to determine the sample size for each district, resulting in a total of 171 questionnaires based on a coefficient of 0.075 and population of 3,062,242 in 2016. The questionnaire was designed in a 5-point Likert scale format and distributed and completed across the districts of Mashhad. The questionnaire was validated based on the input from university professors and the necessary modifications were implemented. After collecting the questionnaires and assessing their reliability using the Cronbach's alpha method, the gathered data were analyzed by using descriptive and inferential statistics, including the Chi-square test, skewness and kurtosis tests, and one-sample t-test, within the SPSS software environment. Additionally, decision-making methods, such as MEREC and COCOSO, were utilized for data and information analysis. Finally, the Smart PLS software was employed to construct the structural equation model and determine the impact levels of the desired indicators on the IoT-based smart city. Research FindingsUpon confirming the normal distribution of the data through skewness and kurtosis tests, the results of the one-sample t-test indicated that all the indicators were significant. Among the IoT-based smart growth indicators, the first factor (smart mobility) exhibited the highest mean of 2.7154, while the component of smart citizen had the lowest score of 2.1287 compared to the other components. Following the weighting of the indicators by using the MEREC method and application of the COCOSO technique for ranking the districts, the results revealed that District 9 secured the 1st rank with a score of 3.412 and District 1 showed the 2nd rank with a score of 3.349 with the remaining districts following in subsequent ranks. Furthermore, the results of the structural equation modeling by using SMART PLS indicated that the variable of smart government exhibited the highest overall influence coefficient of 1.523 followed by smart economy (1.256), smart citizen (0.895), smart environment (0.687), smart mobility (0.622), and smart living (0.160), showcasing their influences in the IoT-based smart city. Discussion of Results & ConclusionA smart city represents a comprehensive framework that assesses various facets of intelligent initiatives, empowering cities to leverage urban networks, bolster their economic prowess, and establish more efficient systems. This network relies on wireless networks, broadcasting networks, internet networks, telecommunication networks, and sensor networks with the Internet of Things (IoT) at its core. The research findings were consistent with the conclusions of other researchers, such as Mafi and Gholizadeh (2015), Amelifar et al. (2022), and Sudeep et al. (2018), highlighting the impact of IoT in urban settings, resulting in savings in time, cost, energy, materials, and human resources, and ultimately enhancing the quality of urban life. The high rankings of Regions 9 and 1 in Mashhad metropolis in terms of smart city indicators validated this assertion as evidenced by the high quality of urban life in these areas and the residents' preference to live there

Opinion Mining for Software Development: A Systematic Literature Review

Opinion mining, sometimes referred to as sentiment analysis, has gained increasing attention in software engineering (SE) studies. SE researchers have applied opinion mining techniques in various contexts, such as identifying developers’ emotions expressed in code comments and extracting users’ critics toward mobile apps. Given the large amount of relevant studies available, it can take considerable time for researchers and developers to figure out which approaches they can adopt in their own studies and what perils these approaches entail. We conducted a systematic literature review involving 185 papers. More specifically, we present 1) well-defined categories of opinion mining-related software development activities, 2) available opinion mining approaches, whether they are evaluated when adopted in other studies, and how their performance is compared, 3) available datasets for performance evaluation and tool customization, and 4) concerns or limitations SE researchers might need to take into account when applying/customizing these opinion mining techniques. The results of our study serve as references to choose suitable opinion mining tools for software development activities, and provide critical insights for the further development of opinion mining techniques in the SE domain