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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 Sistem dan Manajemen Industri 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 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) Jurnal Fokus Manajemen Bisnis Indonesian Journal of Law and Economics Review International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Indonesian Journal of Innovation Studies BISMA (Bisnis dan Manajemen) Formosa Journal of Sustainable Research (FJSR) Adabiyah: Jurnal Pendidikan Islam Mamangan Social Science Journal PERMANA : Jurnal Perpajakan, Manajemen, dan Akuntansi JAIDE 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
Rita Ambarwati Sukmono
Universitas Muhammadiyah Sidoarjo
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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How to increase Repurchase Intention at the Indonesian Post Office Zain, Muhammad Fikri Bariq; Ambarwati, Rita
Jurnal Maksipreneur Vol 14 No 1 (2024)
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jmp.v14i1.1651

Abstract

This research aims to determine the role of service quality, price, and security on customer satisfaction and their impact on repurchase intention at the Indonesian Post Office in Sidoarjo City. This research uses a quantitative approach. The population of this research consists of customers of the Indonesian Post Office in Sidoarjo City. This research involved a sample of 100 customers of the Indonesian Post Office in Sidoarjo City who were selected using accidental sampling techniques. The primary data used in this research was obtained by distributing questionnaires to respondents. Quantitative data analysis techniques using statistical methods were used to analyze the data. The statistical method used is Smart Partial Least Square (SmartPLS). Based on the research results, it was found that service quality, price, and safety influence customer satisfaction. Apart from that, it was found that service quality and price affected on repurchase intention, while security did not affect on repurchase intention. It was also found that customer satisfaction influences repurchase intention at the Indonesian Post Office in Sidoarjo City.
Influencing Generation Z’s Green Purchase Intention: Roles of Awareness and Eco-Labels Illahi, Utami Nur; Sari, Dewi Komala; Ambarwati, Rita; Alimova, Mashhura Toirxonovna
Jurnal Mamangan Vol 13, No 1 (2024): Jurnal Ilmu Sosial Mamangan Accredited 2 (SK Dirjen Ristek Dikti No. 0173/C3/DT
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/mamangan.v13i1.7790

Abstract

Increasing population growth accompanied by excessive consumptive patterns encourages the exploitation of natural resources which will result in environmental pollution. Environmental problems that are not immediately resolved will certainly have an impact on the lives of the next generation. This study aims to determine the role of environmental awareness, consumption value and eco-labeling on green purchase intention in Generation Z. The theory used is the theory of consumption value initiated by Sheth et al. (1991) on how the nature of the customer decision-making process is based on 5 perceived consumption values, namely functional value, social value, emotional value, epistemic value and conditional value. The research method used is quantitative method with 135 respondents. Data analysis in this study used PLS-SEM analysis with the help of SmartPLS 3.0 software. The results showed that environmental awareness, consumption value and eco-label have a positive and significant effect on green purchase intention in Generation Z. The consumption value variable is the variable with the greatest influence on green purchase intention in Generation Z. The novelty of this research is the addition of consumption value variables using five dimensions of consumption value in accordance with the Theory of Consumption Values which are very rarely studied by Indonesian researchers in their influence on green purchase intention in generation Z.
Impact of Digital Marketing Strategies, Brand Image, and Influencers on Netflix Purchase Decisions Hidayat, Rizky; 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.v17i1.24487

Abstract

The research was conducted to analyze the influence of digital marketing strategies, brand image, and influencers on purchasing decisions for Netflix products. The study was analyzed using the questionnaire spread method to find out the significant outcomes of Netflix usage decisions as well as the impact of brand image and digital marketing on the social community. The results of this study showed that each variable has a strong influence on Netflix usage decisions. This can be seen from the results of acquisition and data processes that show significant value, starting with digital marketing that is well branded by the influencer so that Netflix users get information digitally easily
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.
Co-Authors Adji Kusuma, Kumara Adji, Kumara Agustina, Aninda Aisyah Andriani Alif , Wildan Alimova, Mashhura Toirxonovna Alimova, Mashhura Toirхonovna Alshaf Pebrianggara Alwifaqi, Jindan Anggraini , Dita Putri Anjani, Syafina Putri Arista, Sintha Wahyu Astuti, Rini Puji 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 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 Handiwibowo, Gogor Arif Hanifa, Muhammad Hendra Sukmana Herlinda Maya Kumala Sari, Herlinda Maya Kumala Hidayat, Anastasya Putri Husna, Rofiatul Iffat, Emmira Illahi, Utami Nur Imawati , Angraini Putri Indah Lestari, Indah Istiqomah, Rahmatul Karima Nabila Yulia Rahmawati Kharisma, Risky Ageng Khisamuddin, Muhammad Idrus Khoiriyah, Dwi Himatul Lestari, Putri Indah Lilik Indayani Luthfiyani, Andhika Ayu Mas Oetarjo Masri, Meriska Rossana Yanuar Melania, Dewi Riski Meynur Rohmah Ubaidillah Millenia, Arum Miranda Nindi Grazia Misti Hariasih Mochamad Rizal Yulianto Mohammad Isa Irawan Muhammad Fatihul Iman Muhammad Ridho Bintang Janaputra Muthiah, Imroatul Muzakki, Ilham Nafis, Khilyatun Nasrudiansyah, Dicky Septian Nugroho, Brilian Nur Ainun Jariyah Nur Chamila, Ayuni Nur Fazria Masfufah Nurhafizah, Intan Nurjanah, Firda Awalul Octhavia , Ristha Oetarjo, Mas Prasetyo, Deddy Prasetyo, Wahyu Eko Putri, Attalia Reinita Erlitna Rahmadhani, Debi Rahmah, Adinda Syafira Rahmawati, Dwi Maya Ramadani, Mita Putri Ramadhan, Muhammad Anugerah Rizky Hidayat, Rizky Sari , Dewi Komala Sigit Hermawan Silmi, Fahmi Amil Sri Susilawati Wati Sriyono Sriyono Sriyono Sriyono Sriyono Sudiarto, Dimas Arfi Sudibyo, Eko Sumartik Sutrisno, Sutrisno Syaifuddin, Aldy Hamid Syifa Novia Pradita Taufiqih, Rahmad Thamrin, Suyono Tiarazahra, Kania Lovia Tinah, Tinah Toirxonovna, Alimova Mashhura Turekulova , Dametken Medihanovna Turekulova, Dametken Medihanovna UB, A. Riyadh Wardani, Dwi Sukma Widya, Paramitha Puspa Widyasari, Dwi Fitri Wijayanti , Putri Nur Rizki Wilujeng, Aura Masdena Nur Wiwik Sulistiyowati Yahya, Moch Roziqi Yani , Muhammad Yuniar, Mylenia Martina Zain, Muhammad Fikri Bariq