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All Journal IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Jurnal Teknologi dan Manajemen Informatika Journal The Winners Jurnal Minds: Manajemen Ide dan Inspirasi Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura Jurnal Ilmiah Teknik Industri ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ekonika : Jurnal Ekonomi Universitas Kadiri JBMP (Jurnal Bisnis, Manajemen dan Perbankan) Wikrama Parahita : Jurnal Pengabdian Masyarakat MBR (Management and Business Review) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Journal of Economic, Bussines and Accounting (COSTING) Indonesian Journal of Information System Jurnal Organisasi Dan Manajemen Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL MANAJEMEN (EDISI ELEKTRONIK) JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship Almana : Jurnal Manajemen dan Bisnis JURNAL MANAJEMEN BISNIS Jambura Journal of Educational Management LOYALITAS: Jurnal Pengabdian Kepada Masyarakat JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Building of Informatics, Technology and Science Mega Aktiva: Jurnal Ekonomi dan Manajemen Journal of Information Systems and Informatics International Journal of Economics Development Research (IJEDR) BASKARA: Journal of Business and Entrepreneurship International Journal of Industrial Optimization (IJIO) Indonesian Journal of Law and Economics Review International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Indonesian Journal of Innovation Studies Formosa Journal of Sustainable Research (FJSR) Adabiyah: Jurnal Pendidikan Islam PERMANA : Jurnal Perpajakan, Manajemen, dan Akuntansi IIJSE JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Jurnal Ilmiah Bisnis dan Ekonomi Asia (Jibeka) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Journal of Geography, Regional Planning and Development International Journal of Artificial Intelligence for Digital Marketing Academia Open International Journal of Economic Integration and Regional Competitiveness Journal of Artificial Intelligence and Digital Economy
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CONSUMER CONSIDERATIONS IN BUYING TEMPE: A CASE STUDY IN SEPANDE VILLAGE, SIDOARJO Lestari, Putri Indah; Ambarwati, Rita
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 17, No 1: January - March 2024
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v17i1.25123

Abstract

This research aims to determine the influence of price, product quality, and personal selling on consumers' purchasing decisions regarding tempe. This study utilizes a quantitative approach as the research method, employing a questionnaire distributed incidentally. The study involves a sample of 96 individuals who meet the author's criteria, determined using the Lemeshow formula. Quantitative data analysis technique is employed, utilizing statistical methods to analyze the data. The statistical method used is Smart-PLS. Based on the research findings, it was discovered that price has a positive and significant impact on tempe  purchasing decisions in the village of Sepande, Sidoarjo. Product quality has a positive and significant influence on tempe purchasing decisions in the village of Sepande, Sidoarjo. Personal selling has a positive and significant effect on tempe purchasing decisions in the village of  Sepande, Sidoarjo. Furthermore, within this context, price, product quality, and personal selling collectively have a significant impact on tempe  purchasing decisions in the village of Sepande, Sidoarjo.
Integration of Service Quality, Importance Performance Analysis, and Quality Function Deployment for Service Quality Analysis Kharisma, Risky Ageng; Ambarwati, Rita; Hermawan, Sigit
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 4 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i3.5772

Abstract

Companies that provide service offerings must prioritize service and customer comfort. Customers do not only assess the services provided; they also evaluate the comfort and performance of the employees serving them. Customer satisfaction is crucial since customers are the source of income and an excellent promotion medium. They share their experiences with others based on what they feel. Information technology services are currently in high demand, and with many competitors emerging, it is essential to build customer trust by fulfilling their needs to achieve customer satisfaction. This study aims to analyze the service quality at Dinotech Solution to determine how satisfied customers are with the services provided and to measure the quality of the services performed. Customers at the managerial level will be the subjects for data collection in this study. The data will be processed using Service Quality (Servqual) and Importance Performance Analysis (IPA), further clarified with the Quality Function Deployment (QFD) method in the house of quality. It is expected that this study will provide solutions to enhance customer satisfaction. The research results can also serve as actionable solutions for the company to attract more customers and retain existing ones.
Business Growth through Consumer Insights: The Economic Influence of Taste, Product Excellence, and Price Haikal, Fikri; Ambarwati, Rita; Adji, Kumara
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 6 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i6.7088

Abstract

This research aims to analyze the influence of taste, product excellence, and cost impact or price on purchasing decisions for Sempol Gendut.Located on JL DR Wahidin GG 4 RT 011 RW 002 Bulusidokare Village, Sidoarjo District, Sidoarjo Regency, East Java, 61216. The data collection method uses a questionnaire and observation. The sampling method employed is simple random sampling, and the data analysis is conducted using the SEM PLS approach.Data processing in this study was carried out using Smart PLS version 4.0. Hypothesis testing was conducted through path direct effect tests and indirect effect tests. The analysis results revealed that the taste variable has a positive and significant influence on purchasing decisions, while the product excellence and cost variables also demonstrated positive and significant effects.
Enhancing Sales Prediction for MSMEs: A Comparative Analysis of Neural Network and Linear Regression Algorithms Taufiqih, Rahmad; Ambarwati, Rita
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 1 (2024): Juni 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i1.11875

Abstract

The increasingly fierce competition in the Micro, Small, and Medium Enterprises (MSME) industry has made business actors predict sales to find out future sales predictions and prepare strategies to deal with market trends that will occur in the future. Most MSMEs still do not have a prediction system. So, to set sales targets each year, they always use manual estimates by reviewing the previous year's sales data. Therefore, this research aims to predict sales and analyze the error value of sales data forecasting so that it can provide recommendations for strategies to increase sales. This research will apply neural network and linear regression algorithms to predict sales from 2020 to 2022. Based on the results of method testing, the artificial neural network algorithm is more suitable for forecasting sales than the linear regression algorithm. The test results obtained an RMSE value of 40,070 in the neural network method using one hidden layer and an RMSE value of 66,998 derived from the feature selection T-test and iterative T-test with a minimum tolerance value of 0.05 in the linear regression method.
Prediction analysis of retail store sales level using neural network algorithm method based on customer segments Yuniar, Mylenia Martina; Ambarwati, Rita
International Journal of Industrial Optimization Vol. 5 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v5i2.9889

Abstract

Marketing activities are of significant importance to business operations, as they are uniquely positioned to provide value to consumers. The marketing mix represents one of the strategic approaches employed to attain these organizational objectives. However, the company's sales data is only available for consultation in the archives. By understanding customer preferences and requirements, the company can readily develop an effective marketing strategy to compete with similar businesses. Accordingly, this study employs the neural network methodology to forecast sales based on the company's historical sales data. The research method employs a neural network due to its capacity for processing substantial data sets with flexibility. Moreover, the Root Mean Square Error (RMSE) must be employed to ascertain the precision of the utilized model. The findings of this study indicate that the discrepancy between the actual and predicted values is minimal, suggesting that the model is able to accurately represent the data. Similarly, the results of the RMSE (Root Mean Square Error) demonstrate that the model's accuracy is improving, with minimal values observed in each segment. A 4P marketing mix strategy may be employed to enhance the company's sales potential. Based on the findings of the research, it can be posited that the results of the prediction data set, the visual prediction results, and the RMSE using the Neural Network method can be utilized effectively and accurately to forecast sales and assist company owners and management in considering target sales levels in the future.
Pengaruh Viral Marketing, Brand Ambassador, Brand Trust, dan Kualitas Produk Terhadap Keputusan Pembelian pada Live Tiktok Shop Nurhafizah, Intan; Adji Kusuma, Kumara; Sukmono, Rita Ambarwati
Jambura Journal of Educational Management Volume 6 Nomor 1, Maret 2025
Publisher : JURUSAN MANAJEMEN PENDIDIKAN FAKULTAS ILMU PENDIDIKAN UNIVERSITAS NEGERI GORONTALO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37411/jjem.v6i1.3759

Abstract

Penelitian ini memiliki tujuan untuk menguji dan memahami pengaruh dari Viral Marketing, brand ambassador, brand trust, dan kualitas produk terhadap keputusan pembelian pada short live tiktok shop. Penelitian ini menggunakan penelitian kuantitatif. Pada penelitian ini seluruh masyarakat yang pernah membeli produk di live tiktok shop yang jumlah tepatnya tidak diketahui, dijadikan sebagai populasi pengambilan sampel dengan menggunakan metode non-probability sampling melalui teknik purposive sampling. Pengambilan data pada penelitian ini dengan melalui observasi dan menyebarkan kuisioner yang diukur dengan menggunakan skala likert. Pengolahan data dilakukan dengan menggunakan aplikasi software SmartPLS
Efficiency Redefined: An ANP-Optimized Work Scheduling on Employee Productivity in the Manufacturing Industry Muzakki, Ilham; Ambarwati, Rita
Jurnal Minds: Manajemen Ide dan Inspirasi Vol 11 No 2 (2024): December
Publisher : Management Department, Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/minds.v11i2.49505

Abstract

Scheduling is one of the important factors that affect employee productivity in a company. PT Maspion, as one of the large companies with a large number of employees, faces challenges in optimal work scheduling to meet varied production needs. This study aims to optimize work scheduling using the Analytic Network Process (ANP) method by considering several dimensions of criteria such as consistency, predictability, adequacy, and control. The research method used is a descriptive quantitative approach with primary data obtained through interviews and questionnaires to 30 experts in the field of work scheduling. The results show that consistent, predictable, adequate, and controlled work scheduling can increase employee productivity and employee well-being. In conclusion, the application of the ANP method in work scheduling can help companies in increasing employee productivity and welfare.
The Role of Organizational Commitment Moderating Factors Affecting Budget Absorption Sopiyah, Siti; Sriyono, Sriyono; Sukmono , Rita Ambarwati
International Journal of Economics Development Research (IJEDR) Vol. 6 No. 3 (2025): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v6i3.7840

Abstract

This study aims to prove the influence of budget planning, human resource competence, and utilization of information technology on budget absorption with organizational commitment as a moderating variable. Using a quantitative research method, purposive sampling was used in the sample selection process, 185 respondents, including the Budget Implementation Coordinator (KPA), Budget Implementation Coordinator (PPK), Budget Implementation Coordinator (PPSPM), Head of Planning Sub-Division and Expenditure Treasurer in 37 work units under the Surabaya High Religious Court. The hypothesis was tested with SEM-PLS by SMART PLS 4.1.0.9. The results showed that budget planning does not affect budget absorption, human resource competence, and information technology, which significantly impacts budget absorption. Organizational commitment as a moderating variable does not moderate the impact of budget planning and human resource competence on budget absorption, but it does moderate the effect of information technology utilization on budget absorption.
How FOMO and Price Affect Online Purchase of Imitation Products Rahmawati, Dwi Maya; Ambarwati, Rita; Turekulova , Dametken Medihanovna
Journal The Winners Vol. 26 No. 1 (2025): The Winners (In Progress)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/tw.v26i1.12969

Abstract

This research examined how factors such as Fear of Missing Out (FOMO), imitation of products, and price value influence consumers' impulsive buying and purchase intentions regarding imitation products online. A quantitative descriptive method was applied with data collected through surveys by distributing questionnaires. The sample was selected using a non-probability sampling technique with criteria: 1) residing in Indonesia, 2) aged 17 years or older, 3) having previously purchased imitation products online, and 4) willing to complete the entire questionnaire. A total of 207 respondents were analyzed. Data were processed using Partial Least Squares - Structural Equation Modeling (PLS-SEM). The findings suggest that FOMO and imitation products significantly impact online impulsive buying. Additionally, price value and online impulsive buying influence purchase intentions. There is also an indirect effect of FOMO and imitation products on purchase intentions through online impulsive buying. The research fills a gap in prior research that has rarely examined these variables' direct and indirect effects on online impulsive buying and purchase intention for imitation products. Theoretically, this research contributes to digital consumer behavior studies in the post-COVID-19 era, providing companies with a better understanding of factors influencing purchase intentions for imitation products.
The Role of The Word of Mouth Mediate The Effect of The Marketing Mix on The Decision of Student Parents to Choose Muhammadiyah School: Peran Word of Mouth Memediasi Pengaruh Marketing Mix terhadap Keputusan Orang Tua Siswa Memilih Sekolah Muhammadiyah Alwifaqi, Jindan; Ambarwati, Rita
Adabiyah: Jurnal Pendidikan Islam Vol. 5 (2023): September
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1531.716 KB) | DOI: 10.21070/adabiyah.v5i0.1674

Abstract

This research aims to determine the role of word of mouth in mediating the effect of the marketing mix on the decision of parents of students to choose SMP Muhammadiyah 9 Tanggulangin boarding school, Sidoarjo. This research uses sample data collection through questionnaires. With the number of respondents 125 guardians of SMP Muhammadiyah 9 boarding school Tanggulangin Sidoarjo. For data analysis in this study using statistical techniques Partial Least Square (PLS). The results of this study indicate 2 direct effects are significant, 1 direct effect is not significant. Namely Marketing Mix (X) on parents 'decision to choose school (Y), Marketing Mix (X) on Word of Mouth (Z) and the direct effect that is not significant, namely Word of Mouth (Z) on parents' decision to choose school (Y) . And this study shows that there is an indirect effect that is not significant, namely the Marketing mix on the decision of parents to choose school (Y) through the Word of Mouth (Z).
Co-Authors Adhelia Cahya Puspita Adji, Kumara Agustina, Aninda Aisyah Andriani Alif , Wildan Alimova, Mashhura Toirхonovna Alshaf Pebrianggara Alwifaqi, Jindan Andhika Ayu Luthfiyani Anggraini , Dita Putri Anjani, Syafina Putri Arista, Sintha Wahyu Astuti, Rini Puji Attalia Reinita Erlitna Putri Ayung Wandira Machsa Bayu Prasetio Bintang Pamungkas, Moch. Ridho Choirunisa Karina Dedy dedy dedy, dedy Detak Prapanca Devan Kertajasa Dewi Komala Sari Dhea Ariesta Djoko Cahyo Utomo Lieharyani Dwi Mega Aprilia Dwi Sukma Wardani Farhan , Akmal FASYA, KHALIDA Fatchiyah, Alifatul Febriliyan Samopa Febriyanti, Kadek Dwi FIKRI HAIKAL Firdaus, Handika Ghianti, Anneke Chitra Giandi, Oxsy Hadiah Fitriyah Hafif Wisnu Wahyudi Hamzah Lutfi Handiwibowo, Gogor Arif Hanifa, Muhammad Hendra Sukmana Herlinda Maya Kumala Sari Herlinda Maya Kumala Sari, Herlinda Maya Kumala Hidayat, Anastasya Putri Iffat, Emmira Imawati , Angraini Putri Indah Lestari, Indah Istiqomah, Rahmatul Karima Nabila Yulia Rahmawati Kharisma, Risky Ageng Khisamuddin, Muhammad Idrus Khoiriyah, Dwi Himatul Kumara Adji Kusuma Lestari, Putri Indah Lilik Indayani Lita Marshella Fitriani Mas Oetarjo Mas Oetarjo Melania, Dewi Riski Meriska Rossana Yanuar Masri Meynur Rohmah Ubaidillah Millenia, Arum Miranda Nindi Grazia Misti Hariasih Mochamad Rizal Yulianto Mochamad Rizal Yulianto Mohammad Isa Irawan Muhammad Anugerah Ramadhan Muhammad Fatihul Iman Muhammad Ridho Bintang Janaputra Muhammad Yani Muthiah, Imroatul Muzakki, Ilham Nafis, Khilyatun Nasrudiansyah, Dicky Septian Nugroho, Brilian Nur Ainun Jariyah Nur Chamila, Ayuni Nur Fazria Masfufah Nurhafizah, Intan Octhavia , Ristha Oksi Wijaya Kusuma Efendi Prasetyo, Wahyu Eko Rahmadhani, Debi Rahmah, Adinda Syafira Rahmawati, Dwi Maya Ramadani, Mita Putri Rizky Eka Febriansah Rizky Hidayat, Rizky Shofi Maulana Ardiansyah Sigit Hermawan Silmi, Fahmi Amil Siti Sopiyah Sri Susilawati Wati Sriyono Sriyono Sriyono Sriyono Steven Owen Purnawan Sudiarto, Dimas Arfi Sudibyo, Eko Sumartik Sutrisno, Sutrisno Syaifuddin, Aldy Hamid Syifa Novia Pradita Tariq Tawfeeq Yousif Alabdullah Taufiqih, Rahmad Thamrin, Suyono Tiarazahra, Kania Lovia Tinah, Tinah Toirxonovna, Alimova Mashhura Turekulova , Dametken Medihanovna UB, A. Riyadh Vera Firdaus Widya, Paramitha Puspa Widyasari, Dwi Fitri Wijayanti , Putri Nur Rizki Wiwik Sulistiyowati Yahya, Moch Roziqi Yuniar, Mylenia Martina Zain, Muhammad Fikri Bariq Zatul Karamah Ahmad Baharul Ulum