Abstract:The culinary industry in Indonesia has witnessed a surge in the growth of Micro, Small, and Medium Enterprises in recent years. These enterprises, known as culinary MSMEs, have played a pivotal role in the country's economic…
omic development. To remain competitive in the dynamic market, these MSMEs need to embrace innovative and creative strategies that can drive their growth and sustainability. This paper aims to provide a comprehensive understanding of the innovation and creativity strategies employed by Indonesian culinary MSMEs and identify the key factors that contribute to their success. The study found that culinary MSMEs in Indonesia can adopt a range of innovative and creative strategies to enhance their competitiveness. These may entail developing novel and distinctive menu offerings, implementing efficient production processes, leveraging digital technologies for marketing and customer engagement, and fostering an organizational culture that promotes innovation. By adopting a customer-centric approach and remaining responsive to evolving market trends, these enterprises can distinguish themselves from competitors and maintain a leading position in the industry. A systematic review of the existing literature also reveals that culinary MSMEs in Indonesia face various challenges, including financial constraints, lack of human resources, and limited access to information and technology. To address these challenges, collaboration with external parties, such as the government, research institutions, and universities, can be a crucial step in enhancing the innovation capabilities of these enterprises.
Abstract:Artificial intelligence is likely to have a significant impact on marketing strategies and customer behaviors in the years ahead. Research in this field has grown considerably, demonstrating AI's ability to simulate human…
n behavior and perform tasks intelligently. With growing interest among marketing researchers and practitioners, this research aims to provide an overview of the evolution of both marketing and AI research fields. This paper explores the emerging role of artificial intelligence in personalized engagement marketing, which focuses on creating, communicating, and delivering customized offerings to customers. Utilizing the Systematic Literature Review technique, we examined over 300 academic articles to uncover prevalent themes and gain a deeper understanding of current AI utilization in marketing. We then propose a plan for future research that examines potential changes in marketing strategies and customer behaviors while emphasizing critical policy considerations related to privacy, bias, and ethics. The implications for marketing managers are discussed along with predictions about how AI will impact branding and customer management practices going forward. Our research highlighted several benefits of integrating AI into marketing such as improved customer interactions, increased revenue, reduced expenses, and enhanced overall efficiency. However, this research also pointed out areas requiring further investigation including challenges posed by AI integration like shortage of skilled personnel and data privacy concerns.
Abstract:Artificial Intelligence has become a transformative technology in the field of financial technology, leveraging advanced algorithms and machine learning to identify risks and make informed decisions. However, its widespread…
ead adoption presents new challenges related to ethical use, data privacy, security concerns, potential bias, and discrimination. This study aims to explore the benefits of AI-based risk management in Fintech while highlighting associated challenges and providing recommendations. This research utilises the systematic review methodology to analyse existing literature and identify important patterns, gaps, and areas for further investigation. The study utilised data gathered from the Scopus database to obtain credible scholarly materials. Research data was collected from a variety of countries including the United States, China, European nations, and other Asian countries in order to develop a comprehensive understanding of AI-based risk management on a global scale. The findings highlight the crucial role of ethical considerations in implementing AI-based risk management systems to ensure fairness, transparency, and accountability. Moreover, the fintech industry needs to establish strong data protection measures and address issues related to bias and discrimination in order to instil trust and uphold public confidence in AI-based risk management. Future research should emphasise assessing the effectiveness of different algorithms and approaches while also examining potential regulatory frameworks and legal implications associated with AI-based risk management strategies.
Abstract:Oyster mushrooms (Pleurotus ostreatus) are agricultural commodities with high economic value with good nutritional content. Its cultivation in Jumantoro Village, Jumapolo District, Karanganyar Regency, has great potential…
l because it is supported by suitable natural conditions. However, farmers and MSMEs still face obstacles in the use of manual equipment and less than optimal marketing, so product innovation is needed to increase the added value and competitiveness of oyster mushrooms in the market. As a solution, a mentoring program was introduced with the culinary innovation of oyster mushroom nuggets. This activity includes surveys and interviews with MSMEs, transfer of cultivation knowledge, and production practices. Nuggets were chosen because their texture resembles chicken meat, making them an economical and healthy food alternative. Production is carried out at the MSME's Mushroom House with a systematic method to ensure quality. The results of the mentoring showed a positive response from MSMEs and the community, both in terms of economy and product acceptance. In addition to increasing local income, this program also provides direct experience for students in understanding mushroom cultivation and processing. By optimizing local potential, innovation in processed oyster mushroom products can be a sustainable strategy in supporting village economic growth.
Abstract:The aim of this study is to explore the effectiveness of Trello in improving communication and collaboration enhance quality of service within a service company. The study will use a qualitative approach to collect and analyze…
nalyze data. Qualitative data will be collected through interviews with the CEO and Employee of Kotak Narsis, while the financial report 2020-2023 and the number of problems encountered will be used as secondary sources of data. The qualitative data from the interviews will be analyzed using thematic analysis to identify key themes and patterns in the data. Based on the results of the interviews, it appears that Trello can be an effective solution to the problems faced by the company, mainly poor quality of service. The company also found that the quality of the company's photobooth selfie box service improved, as evidenced by the reduced number of customer complaints.
Abstract:This study aims to determine the effect of electronic word of mouth and price on purchasing decisions for Big Bananas in Makassar City partially and simultaneously. The population in this study are followers of the Big Bananas…
ananas Instagram account, totaling 78,182 users as of November 2022. The sample used is based on the slovin formula with an error rate of 10%, namely 100 respondents. The sampling withdrawal technique is systematic random sampling. Data collection techniques were carried out using questionnaires, literature studies and interviews. The data analysis technique used is multiple regression analysis using SPSS 22.00 for windows. The results showed that electronic word of mouth and price had a positive and significant effect on purchasing decisions for Big Bananas in Makassar City.
Abstract:Digital transformation is a hot topic for research. Various technological developments encourage various organizations to carry out digital transformation to achieve organizational goals. This is experienced by SMEs in running…
unning their business. Various studies that have been conducted have yielded inconsistent results regarding the adoption of digital transformation for MSMEs. This article discusses the extent to which previous research has explored digital transformation carried out by MSMEs that can have an impact on financial performance. This article uses a systematic literature review and bibliometric analysis to explore previous research related to the digital transformation of MSMEs
Abstract:This research is to determine the level of investment risk and stock returns as well as grouping efficient shares and inefficient shares of coal mining companies through the Capital Asset Pricing Model (CAPM) method for…
the 2019-2021 period. The research method used is descriptive method with a quantitative approach, while the data analysis method uses the Capital Asset Pricing Model (CAPM) method. The results showed that there were 8 shares of coal mining companies with a beta (systematic risk) value of greater than 1 (β > 1), and 16 shares of companies with a beta of less than 1 (β < 1. The highest RI was found in HRUM shares with a rate of return of 0.07650 or 7.65%, while the lowest Ri is found in BOSS shares with an average rate of return of -0.06000 or - 6%. The highest E(Ri) value is found in DOID shares with a value of 0.00177 or 0.18%, while the lowest E(Ri) is found in GEMS companies with a value of 0.00126 or 0.13%. There are 16 shares of coal mining companies which are classified as efficient shares consisting of shares of ADRO, BSSR, BYAN, DOID, DSSA, FIRE, GEMS, iHRUM, INDY, iITMG, MBAP, MYOH, iPTRO, SMMT, iTOBA, and BRMS, as well as 8 inefficient stocks namely ARII, BOSS, BUMI, DEWA, GTBO, KKGI, PTBA, and SMRU.
Abstract:The purpose of this study was to determine the effect of product quality, price, and after-sales service on purchasing decisions for Honda brand Matic Motorbikes individually and simultaneously. The sample used was 100 students…
tudents of the Faculty of Economics and Business who had been selected based on predetermined criteria. Data collection techniques were carried out by questionnaire and literature study. The data analysis technique consists of validity test, reliability test, classical assumption test which consists of normality test, multicollinearity test, and heteroscedasticity test, multiple linear analysis test, hypothesis testing, determinant coefficient test. All independent variables have a correlation that is in the same direction as the dependent variable (purchase decision). The most dominant variable influencing purchasing decisions is the product quality variable. Which means that the dependent variable purchasing decisions can be explained by variables consisting of product quality, price, and after-sales service, the rest is explained by other variables that are not examined.
Abstract:Perkembangan pesat teknologi Artificial Intelligence (AI) telah mengubah lanskap pendidikan tinggi secara signifikan, terutama dengan hadirnya tutor virtual berbasis AI yang mampu memberikan umpan balik cepat, tepat, dan…
personal. Analisis Real merupakan salah satu mata kuliah yang paling menantang dalam program pendidikan matematika karena sifat abstraknya sering menyebabkan rendahnya self-efficacy mahasiswa. Penelitian ini bertujuan menganalisis pengaruh pemanfaatan AI sebagai tutor virtual terhadap self-efficacy mahasiswa Pendidikan Matematika Universitas Asahan yang menempuh mata kuliah Analisis Real. Penelitian menggunakan pendekatan kuantitatif dengan desain quasi-experimental one-group pretest-posttest, melibatkan 15 mahasiswa yang dipilih melalui purposive sampling. Instrumen angket self-efficacy dikembangkan berdasarkan tiga dimensi Bandura (magnitude, strength, generality), divalidasi melalui expert judgment dengan Cronbach’s Alpha sebesar 0,84. Hasil analisis deskriptif menunjukkan peningkatan rata-rata skor self-efficacy dari 65,67 (pre-test, kategori sedang) menjadi 79,93 (post-test, kategori tinggi), dengan peningkatan sebesar 21,7%. Uji Wilcoxon Signed-Rank Test menghasilkan nilai Z = −3,408 dengan p-value = 0,001 (p < 0,05), yang mengkonfirmasi terdapat perbedaan signifikan self-efficacy mahasiswa sebelum dan sesudah intervensi enam minggu menggunakan AI tutor virtual.
The rapid development of Artificial Intelligence (AI) technology has significantly transformed higher education, particularly through AI-based virtual tutors capable of providing fast, precise, and personalized feedback. Real Analysis, one of the most challenging mathematics education courses, frequently causes low self-efficacy among students due to its abstract nature and demands for formal proof-writing. This study examines the effect of utilizing AI as a virtual tutor on self-efficacy of mathematics education students at Universitas Asahan. A quantitative quasi-experimental one-group pretest-posttest design was employed with 15 students selected via purposive sampling. The self-efficacy questionnaire was based on Bandura’s three dimensions: magnitude, strength, and generality, validated by expert judgment with Cronbach’s Alpha coefficient of 0.84. Descriptive analysis results showed an increase in mean self-efficacy scores from 65.67 (pre-test, moderate category) to 79.93 (post-test, high category), representing a 21.7% improvement. The Wilcoxon Signed-Rank Test yielded Z = −3.408 with p-value = 0.001 (p < 0.05), confirming a significant difference in student self-efficacy before and after the six-week AI virtual tutor intervention.