Garuda - Garba Rujukan Digital

Tourism Village Management Based On Information Technology With Destination Management System Singgih Purnomo; Endang Siti Rahayu; Asri Laksmi Riani; Suminah
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

The development of technology has increased the ability of the tourism industry to increasingly develop. This is marked by the use of information and communication technology in tourism marketing. This study aims to review the implementation of the Destination Management System in Tourism Villages in Indonesia. This study uses qualitative methods and the object of this study is the Ponggok tourism village in Klaten Regency. The results show that the application of the Destination Management System in the tourism village is not optimal. The information and communication technology used is limited to social media, the web system owned by the village has not been optimized for online services.

SALES TRANSACTION DATA EVALUATION INFORMATION SYSTEM USING CLUSTERING MODEL Eko Purwanto; Farahwahida binti Mohd; Zalizah Awong Long; Singgih Purnomo
Proceeding of International Conference on Science, Health, And Technology Vol. 4 No. 1 (2023): Proceeding of the 4th International Conference Health, Science And Technology (
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Sales evaluation exercises at instruments or trading enterprises with many outcomes and components are critical to determining the company's business development. Enterprise managers must know and evaluate sales data through reports on all branchesA trading business that has a department store, so it is essential to assess the sales trade. This sales evaluation knowledge system is necessary to promote store leadership in the deals evaluation strategy, which aims to aid the administration's decision-making process. The dealing data is evaluated using a clustering model to find a group of products selling well, especially in demand and not selling well. The algorithm used in clustering is by using K-Means. The sample data used is sales transaction data of 122 sales transaction data. Based on the results of the Davies Bouldin, it was found that the number of clusters with the best performance was 4 clusters with a Davies Blouldin value of -0.371. This analysis results in the sales data evaluation information system using the clustering model as an instrument for store managers to evaluate deals data at all department stores. The result of this method can be caused by the supervision as data in the decision-making method.

SALES TRANSACTION DATA EVALUATION INFORMATION SYSTEM USING CLUSTERING MODEL Purwanto, Eko; binti Mohd, Farahwahida; Awong Long, Zalizah; Purnomo, Singgih
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3368

Sales evaluation exercises at instruments or trading enterprises with many outcomes and components are critical to determining the company's business development. Enterprise managers must know and evaluate sales data through reports on all branchesA trading business that has a department store, so it is essential to assess the sales trade. This sales evaluation knowledge system is necessary to promote store leadership in the deals evaluation strategy, which aims to aid the administration's decision-making process. The dealing data is evaluated using a clustering model to find a group of products selling well, especially in demand and not selling well. The algorithm used in clustering is by using K-Means. The sample data used is sales transaction data of 122 sales transaction data. Based on the results of the Davies Bouldin, it was found that the number of clusters with the best performance was 4 clusters with a Davies Blouldin value of -0.371. This analysis results in the sales data evaluation information system using the clustering model as an instrument for store managers to evaluate deals data at all department stores. The result of this method can be caused by the supervision as data in the decision-making method.

Challenges in The Academic Promotion Process: Perspectives From Faculty Members Maulindar, Joni; Awang Long, Zalizah; Che Mustapha, Jawahir; Purnomo, Singgih
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4127

The academic promotion process faces various challenges that cause delays for faculty members in reaching higher ranks. This research aims to identify and analyze the factors contributing to delays in the academic promotion process. The research method used is a quantitative approach, with data collection techniques involving the distribution of questionnaires to faculty members who are currently undergoing or about to undergo the academic promotion process. The research results indicate that the lack of transparency in rules, policy changes, evaluation complexity, communication limitations, and institutional support all have a significant and equal impact on the challenges of academic promotion, with each factor having a coefficient of 0.2000. The R-squared and Adjusted R-squared values of 1.000 indicate that this model can explain the entire variation in academic promotion challenges. The high statistical significance of all coefficients suggests that these results are almost certainly not due to chance. Data analysis also shows that there is little autocorrelation in the model's residuals, and the residual distribution is nearly normal. These findings highlight the importance of transparency, policy consistency, effective communication, and institutional support in the academic promotion process. Improvements in these areas are expected to reduce the challenges faced by faculty members during the promotion process

Increasing Customers In Craft Businesses Post Covid-19 Pandemic With E-Prospects Hastuti, Indra; Purnomo, Singgih; Thi Thu Hang, Nguyen; Sopingi, Sopingi
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4138

After the Covid pandemic, the digitalization era has developed more rapidly. The E-Prospects-based entrepreneurship development model can be an alternative for the recovery of business actors to increase customers and increase profits so that business actors can recover more quickly and develop. This research aims to analyze the implementation of the E-Prospect application towards increasing customers in Craft Businesses after the Covid-19 Pandemic. The results of this research can be used as a model for developing Craft Businesses to get new customers more quickly and increase profits. This research was carried out with a descriptive research approach, using the case study method on Lintang Kejora Solo crafts and action research and explanatory research, then carrying out educational actions on E-Prospects and Digital Marketing as well as analyzing the increase in profits obtained and continuing with observation actions on the use of E information technology -Prospects as a means of managing prospective customers so that customer retention increases and ends with analyzing the development of the Lintang Kejora craft business in terms of number of customers, turnover and profit. The research results show that after the Lintang Kejora craft business used the website-based E-Prospek application, the increase in customers was 35% and the profit increase rate was 25%. E-Prospect can improve digital-based customer relationship management and can help craft businesses recover after the Covid-19 pandemic.

Why Does Organizational Citizenship Behaviour Affect The Organizational Sustainability Performance Of Msmes With The Role Individual Work Behaviour? saryadi, saryadi; Purnomo, Singgih; Hastuti, Indra; Sentosa, Ilham
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4145

A person's behavioural condition will affect the continuity of work and activity. This study seeks to understand how organizational citizenship behaviour will affect the organizational sustainability performance of MSMEs with the role of individual work behaviour directly or indirectly. Research with sample of 266 MSMEs is considered sufficient in a study. Data analysis is carried out through data quality tests, path analysis, statistical tests and determination coefficients equipped with Sobel tests. The results in this study show that 1) organizational citizen behaviour has a positive significant effect on individual work behaviour; 2) organizational citizen behaviour has a positive significant effect on organizational sustainability performance; 3) individual work behaviour has a positive significant effect on organizational sustainability performance; 4) individual work behaviour as an intervening of affect organizational citizen behaviour influence on organizational sustainability performance; 5) the indirect influence of organizational citizen behaviour on organizational sustainability performance through individual work behaviour is more effective than the direct influence. 6) total determination coefficient value= 0.8206. this means that 82.06% of the organizational citizen behaviour variable affects organizational sustainability performance with individual work behaviour as an intervening. other factors outside the model influence the remaining 17.94%.

Tourist Loyalty Analysis: The Influence of Service Quality and Emotional Value Dwi Rahmawati, Esti; Singgih Purnomo; Osman, Sharina; Fadila, Sarah; Baaq, Shalli Habiibika
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4195

The research paper examines the interplay between service quality, emotional value, and tourist loyalty within the tourism sector, which significantly contributes to the global economy. Utilising Structural Equation Modeling-Partial Least Squares (SEM-PLS) for data analysis, the study involved 100 respondents who visited Kebumen's Menganti Beach. Findings reveal that service quality positively influences emotional value, which in turn significantly affects tourist loyalty. Specifically, 60.6% of tourist loyalty can be attributed to both service quality and emotional value. The research underscores that high-quality service enhances emotional experiences, fostering stronger connections between tourists and destinations, thereby promoting repeat visits. The study concludes that emotional value is a vital yet often neglected factor in developing strategies to enhance tourist loyalty.

SALES TRANSACTION DATA EVALUATION INFORMATION SYSTEM USING CLUSTERING MODEL Purwanto, Eko; binti Mohd, Farahwahida; Awong Long, Zalizah; Purnomo, Singgih
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3368

Sales evaluation exercises at instruments or trading enterprises with many outcomes and components are critical to determining the company's business development. Enterprise managers must know and evaluate sales data through reports on all branchesA trading business that has a department store, so it is essential to assess the sales trade. This sales evaluation knowledge system is necessary to promote store leadership in the deals evaluation strategy, which aims to aid the administration's decision-making process. The dealing data is evaluated using a clustering model to find a group of products selling well, especially in demand and not selling well. The algorithm used in clustering is by using K-Means. The sample data used is sales transaction data of 122 sales transaction data. Based on the results of the Davies Bouldin, it was found that the number of clusters with the best performance was 4 clusters with a Davies Blouldin value of -0.371. This analysis results in the sales data evaluation information system using the clustering model as an instrument for store managers to evaluate deals data at all department stores. The result of this method can be caused by the supervision as data in the decision-making method.

Challenges in The Academic Promotion Process: Perspectives From Faculty Members Maulindar, Joni; Awang Long, Zalizah; Che Mustapha, Jawahir; Purnomo, Singgih
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4127

The academic promotion process faces various challenges that cause delays for faculty members in reaching higher ranks. This research aims to identify and analyze the factors contributing to delays in the academic promotion process. The research method used is a quantitative approach, with data collection techniques involving the distribution of questionnaires to faculty members who are currently undergoing or about to undergo the academic promotion process. The research results indicate that the lack of transparency in rules, policy changes, evaluation complexity, communication limitations, and institutional support all have a significant and equal impact on the challenges of academic promotion, with each factor having a coefficient of 0.2000. The R-squared and Adjusted R-squared values of 1.000 indicate that this model can explain the entire variation in academic promotion challenges. The high statistical significance of all coefficients suggests that these results are almost certainly not due to chance. Data analysis also shows that there is little autocorrelation in the model's residuals, and the residual distribution is nearly normal. These findings highlight the importance of transparency, policy consistency, effective communication, and institutional support in the academic promotion process. Improvements in these areas are expected to reduce the challenges faced by faculty members during the promotion process

Increasing Customers In Craft Businesses Post Covid-19 Pandemic With E-Prospects Hastuti, Indra; Purnomo, Singgih; Thi Thu Hang, Nguyen; Sopingi, Sopingi
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4138

After the Covid pandemic, the digitalization era has developed more rapidly. The E-Prospects-based entrepreneurship development model can be an alternative for the recovery of business actors to increase customers and increase profits so that business actors can recover more quickly and develop. This research aims to analyze the implementation of the E-Prospect application towards increasing customers in Craft Businesses after the Covid-19 Pandemic. The results of this research can be used as a model for developing Craft Businesses to get new customers more quickly and increase profits. This research was carried out with a descriptive research approach, using the case study method on Lintang Kejora Solo crafts and action research and explanatory research, then carrying out educational actions on E-Prospects and Digital Marketing as well as analyzing the increase in profits obtained and continuing with observation actions on the use of E information technology -Prospects as a means of managing prospective customers so that customer retention increases and ends with analyzing the development of the Lintang Kejora craft business in terms of number of customers, turnover and profit. The research results show that after the Lintang Kejora craft business used the website-based E-Prospek application, the increase in customers was 35% and the profit increase rate was 25%. E-Prospect can improve digital-based customer relationship management and can help craft businesses recover after the Covid-19 pandemic.

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