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A Comparative Analysis of First-Difference GMM and System GMM Approaches on Economic Growth Hendayanti, Ni Putu Nanik; Nurhidayati, Maulida; Soraya, Siti; Sufahani, Suliadi Firdaus; Ismoen, Muhaimin
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 1 (2025): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i1.27620

Abstract

One of the critical causes of Indonesia's economic growth is the presence of the Covid-19 Pandemic which has resulted in a decline in public consumption and investment interest at the household level in each region. One of the areas with a decrease in the number of affected tourist visits is Bali Province. This is because Bali is an icon of Indonesia and is the best tourist destination. The purpose of this study is to obtain the most suitable model to model economic growth with the FD-GMM and Sys-GMM approach meeting the criteria of validity, consistency, and unbiased. This type of research is quantitative research with data sourced from the central statistical agency of Bali Province. The method used in this study is to compare the First-Difference Generalized Method of Moment (FD-GMM) and System Generalized Method of Moment (Sys-GMM) on economic growth data in Bali Province. The result of this study is the estimation of model parameters with the approach FD- GMM meets valid, consistent, and unbiased criteria. In contrast, the estimation of model parameters with the Sys-GMM meets validity and consistency criteria. However, the unbiased criteria are not met because the resulting model has a biased coefficient. The best model used to model Bali's economic growth data is the FD-GMM model. The above results imply that the existence of the population categorized as poor and the existence of the workforce are still a special concern. So, the suggestion in this study is that it is necessary to conduct a policy analysis from the Bali Provincial Government in dealing with poverty rates. Furthermore, employment management in Bali will be reorganized to be more directed and measurable in increasing the economic growth of Bali Province. 
Pemberdayaan Digital Marketing untuk Meningkatkan Omzet Usaha pada UMKM Ayya Farm Putu Adi Guna Permana; Putu Devi Novayanti; Ni Luh Gede Pivin Suwirmayanti; Ni Putu Nanik Hendayanti
Amaluna: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2023)
Publisher : Institut Agama Islam Negeri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/amaluna.v2i1.2175

Abstract

MSMEs are one of the businesses that many people are involved in because they have minimal and affordable capital. MSMEs Lele Bumbu Kuning Ayya Farm, which is a community empowerment partner in this activity, is a frozen food business located in Lingk. Delod Pempatan Abianbase. Lele Bumbu Kuning Ayya Farm is run by its owner, I Nyoman Suta Darmayasa. Partners admit that they have been running this business for about three years. Based on the partner's production conditions, the problem found with Ayya Farm's partners is that, from a marketing point of view, partners do not yet have social media that can expand their market reach. Based on the description of the problem, community empowerment activities are carried out for partners in terms of digital-based marketing, namely in the form of social media. Social media training, which can later be used to expand partner marketing reach. The results of this study show that partners already have Facebook and Instagram social media accounts, which are used specifically for marketing the business they are running.
Pemanfaatan Media Sosial untuk Meningkatkan Omzet Usaha Jajan Bali Mahalaksmi Desa Petang Ni Putu Nanik Hendayanti; Gusti Ayu Aghivirwiati; Deviana; Gusti Ayu Desi Saryanti; Gusti Ngurah Ady Kusuma; Rosalia Hadi; Maulida Nurhidayati
Amaluna: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2023)
Publisher : Institut Agama Islam Negeri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/amaluna.v2i2.2269

Abstract

The entrepreneurial effort of Bali Mahalaksmi snack production, owned by Mrs. I Dewa Ayu Sutari, is a household industry located in Banjar Petang, Petang Village, Petang District, Badung Regency. Mrs. Sutari has been engaged in the production of Balinese snacks for approximately two years. During this period, the production of Bali Mahalaksmi snacks for partners varies daily, depending on orders from small shops, stalls, neighbors, and relatives. This variability in orders results in inconsistent income for the partners. The customer base primarily consists of residents from the partner's village, with some from neighboring villages. Consequently, the marketing scope for Mrs. Sutari's snack business is limited. To address this marketing management challenge, a community partnership program was implemented, focusing on training in social media platforms such as Instagram and Facebook to broaden the partner's market reach. Asset Based Community Development (ABCD) method was employed for this engagement. The outcomes of the program include the establishment of Instagram and Facebook marketing channels for the partner, contributing to an increase in the partner's business turnover.
Analysis of Customer Satisfaction Factors on Social Media Instagram Bank Syariah Indonesia Cahyani, Merlinda Putri Eka; Nurhidayati, Maulida; Hendayanti, Ni Putu Nanik; Mokan, Zaimudin Al Mahdi
Etihad: Journal of Islamic Banking and Finance Vol. 3 No. 1 (2023)
Publisher : Institut Agama Islam Negeri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/etihad.v3i1.6153

Abstract

Introduction: Bank Syariah Indonesia, through the official Instagram account @banksyariahindonesia always provides information regarding messages, advertisements, promotions, and services, but according to some customers, this is inaccurate and less effective. Therefore this study aims to analyze the influence of customer satisfaction factors on Instagram social media of Indonesian Islamic banks. Research Methods: This research method uses quantitative research methods. The population in this study were followers of Bank Syariah Indonesia's Instagram. The sample size was 100 respondents with a purposive sampling method. The data collection method used a questionnaire. The data was analyzed using SPSS 22 software. Results: The results showed that the quality of information, complaint handling, and promotion through social media Instagram affected customer satisfaction of Bank Syariah Bank Indonesia both partially and simultaneously. Conclusion: This study concludes that for the quality of information, complaint handling, and promotion if it increases, it will also increase the satisfaction of Bank Syariah Indonesia customers.
DYNAMIC PANEL DATA GENERALIZED METHOD OF MOMENT ARELLANO-BOND APPROACH IN ECONOMETRIC MODEL RETURN ON ASSETS OF PHARMACEUTICAL COMPANIES Hendayanti, Ni Putu Nanik; Nurhidayati, Maulida
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2325-2336

Abstract

The impact of the Covid-19 pandemic has resulted in a significant decline in the pharmaceutical sector's stock price, so investors are hesitant to invest in the pharmaceutical sub-sector. This study aims to apply dynamic panel data regression analysis with the Arellano-Bond Generalized Method of Moment (GMM) approach to model the profitability of pharmaceutical sub-sector companies on the Indonesia stock exchange. Therefore, investors need to know the profitability of the pharmaceutical sub-sector to make an investment decision. This research will produce a profitability model for pharmaceutical sub-sector companies. The data in this study was obtained from observations of stock price movements of pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange (IDX) in 2013-2022. From the resulting model, it is hoped that it can provide an overview for investors to take action to invest in shares of the pharmaceutical sub-sector. The study results show that the model meets the consistency of parameters based on the results of the Arellano-Bond test and valid instruments based on the results of the Sargan test. The t-test results show that the previous period's ROA has a positive and significant influence on ROA, CR has a negative and significant influence on ROA, DR has no significant effect on ROA, and inflation has a positive and significant effect on ROA. So, the variables that significantly affect ROA are the ROA of the previous period, CR, and inflation. Based on the study's results, investors must choose companies with a higher ROA value compared to the ROA of the previous year. And choose a company that has a low CR value.