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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Bakti Saraswati BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer WIDYABHAKTI Jurnal Ilmiah Populer Math Educa Journal Jurnal Matematika UNAND To Maega: Jurnal Pengabdian Masyarakat Jurnal Varian Madaniya Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pengabdian kepada Masyarakat ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Etihad: Journal of Islamic Banking and Finance COVIT Journal of Innovation Research and Knowledge EXPLORE Jurnal Manajemen dan Ekonomi Terapan Amaluna: Jurnal Pengabdian Masyarakat
Hendayanti, Ni Putu Nanik
Institut Teknologi Dan Bisnis STIKOM Bali
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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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 : UIN Kiai Ageng Muhammad Besari 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.
The Implementation of Fuzzy Time Series in Forecasting The Number of Tourist Visits Aziza, Istin Fitriana; Soraya, Siti; Sahdan, Sahdan; Husain, Husain; Hendayanti, Ni Putu Nanik; Harsyiah, Lisa
Jurnal Varian Vol. 8 No. 3 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i3.4890

Abstract

The development of tourism in West Nusa Tenggara (NTB) Province is supported by its geographical conditions, including scattered small islands (gilis), a tropical climate, and the cultural peculiarities of the Sasak and Mbojo Tribes, thereby becoming an attraction in the development of global tourist destinations. Tourism development in NTB Province would be more attractive with the establishment of the Mandalika National Tourism Development Strategic Area (KSPPN). This research aims to predict the number of tourist visits. A method to forecast the number of tourist visits in NTB Province is needed to assist the government in preparing appropriate facilities and infrastructure in the event of a possible surge in tourist visits. The method used in this study is the Fuzzy Time Series to predict the number of tourist visits in NTB Province. The data used in this study were secondary data sourced from the NTB government tourism office. The result of this research was that the Fuzzy Time Series method was effective in predicting the number of tourist visits in NTB Province, with an accuracy of 90.29%. The forecast result, generated using the Fuzzy Time Series method, was not significantly different from the actual data; in other words, it was almost identical to the actual data. The forecast for tourist visits to the NTB province in the 48th period remains unchanged until the 53rd period, namely 80,739.7 people. The FTS method used in this study cannot be applied to data with long-term seasonal patterns. A suggestion for future researchers is to develop a classical FTS that captures additional long-term seasonal patterns. 
Community Purchase Decision Modeling in Bali with Non-Linier Methods Ni Putu Nanik Hendayanti; Maulida Nurhidayati; Siti Soraya; Habib Ratu Perwira Negara
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 3 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i3.1740

Abstract

The Covid-19 pandemic has resulted in all activities having to be carried out by implementing physical distancing or social distancing in accordance with health protocols for mutual safety. The government encourages people to do more activities at home, including shopping. Consumer perception of purchasing goods online is a process of evaluating various alternatives and choosing one alternative to purchase goods using internet media. The government appealed to the public to take advantage of online shopping to minimize the spread of Covid-19. This indicates that there are factors that influence consumer perceptions of purchasing goods online during the Covid-19 pandemic. The purpose of this study was to examine the effect of perceived convenience, perceived benefits, perceived trustworthiness, and product quality on people’s purchasing decisions in Bali using the Structural Equation Modeling-Partial Least Square (SEM-PLS) approach, Support Vector Regression (SVR), and Feed Forward Neural Network (FFNN). Based on the results of the tests carried out, the SEM-PLS model is able to produce a model with an R2 value of 72.7% with a MAPE of 337.37, an SVR model of 65.88% with a MAPE of 219.56 and a FFNN model of 97.28% with a MAPE of 90.22. Based on the resulting R2 and MAPE values, the FFNN model gives the highest results compared to other models.
Co-Authors Bagus Made Sabda Nirmala Cahyani, Merlinda Putri Eka Deviana Dewa Gede Bayu Krisna Putra Dian Pramana Erwin Suhendra Gde Yoga Hary Sedana Gede Suwardika Gusti Ayu Aghivirwiati Gusti Ayu Desi Saryanti Gusti Ayu Made Arna Putri Gusti Ngurah Ady Kusuma Habib Ratu Perwira Negara Harsyiah, Lisa Herawati, Baiq Candra Husain Husain I Gede Suardika I Gusti Ayu Desi Saryanti I Gusti Ayu Desi Saryanti I Gusti Ngurah Adi Kusuma I Gusti Ngurah Ady Kusuma I Ketut Putu Suniantara I Ketut Putu Suniantara I Komang Budiarta I Made Ari Santosa I Made Hendra M. Pramayasa I Made Hendra Mahajaya Pramayasa I Made Pasek Pradnyana Wijaya I Made Rudita I Made Sudarsana I Wayan Gede Oksarya Ega Satrya Ismoen, Muhaimin Istin Fitriana Aziza Kadek Dwi Pradnyani Novianti Kadek Dwi Pradnyani Novianti Kadek Masakazu Kadek Masakazu LUH PUTU SAFITRI PRATIWI Made Liandana, Made Made Satria Wibawa Mokan, Zaimudin Al Mahdi Ni Kadek Sukerti Ni Luh Gede Pivin Suwirmayanti, S.Kom, MT, Ni Luh Gede Pivin Ni Putu Meina Ayuningsih Ni Wayan Ekayanti Nurhidayati, Maulida P.A. Andiena Nindya Putri Phyta Rahima Primajati, Gilang Putu Adi Guna Permana Putu Adi Guna Permana Putu Devi Novayanti Ricky Aurelius Nutanto Diaz, Ricky Aurelius Rosalia Hadi Sahdan, Sahdan Siti Soraya Sufahani, Suliadi Firdaus T.M. Kusuma