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PENGARUH EXPERIENTIAL MARKETING TERHADAP LOYALITAS PELANGGAN MELALUI KEPUASAN PELANGGAN SEBAGAI VARIABEL INTERVENING DI SENGKALING KULINER “SEKUL” MALANG Amrullah, Wahyu
Manajemen Bisnis Vol 7, No 2 (2017): October
Publisher : Department of Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.068 KB) | DOI: 10.22219/jmb.v7i2.7006

Abstract

The research is to analyze experiential marketing consisting of sense, feel, think, act, and relate, customer satisfaction, customer loyalty and to analyze impact of experiential marketing on customer loyalty through customer satisfaction as an intervening variable at Sengkaling Kuliner ?SeKul? Malang. Use data from quetionnaires of the sample 100 respondents with purposive sampling technic. This research is descriptive quantitative study with survey method. Test instrument used include the validity and reliability test. Analysis data method used is a range of scale, path analysis, and hypothesis testing. The result of the calculation of experiential marketing consisting of sense, feel, think, act, and relate scale range is gene1rally categorized as good. Customer satisfaction and customer loyalty based on the result of the calculation of the scale range is generally categorized as high. These result indicate that the effect of indirectly greater than the direct effect of this proves that customer satisfaction to intercede or mediate the effect of experiential marketing to customer loyalty. This indicates that the experiential marketing significant effect on the customer loyalty through customer satisfaction.
The Influence of Entrepreneurial Orientation and Skills on the Performance of SMEs in the Food and Beverage Sector Amrullah, Wahyu; Mulyana, Asep; Sutisna, Sutisna
Scaffolding: Jurnal Pendidikan Islam dan Multikulturalisme Vol 5 No 3 (2023): Pendidikan Islam dan Multikulturalisme
Publisher : Institut Agama Islam Sunan Giri (INSURI) Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/scaffolding.v5i3.3858

Abstract

This research examines the influence of entrepreneurial orientation and entrepreneurial skills on the performance of SMEs in the food and beverage sector in Batu, East Java. The population in this study is food and beverage SMEs owners in the town of Batu, and the samples taken in this study are 50 respondents using non-probability sampling techniques with a purposive sampling method based on predetermined criteria. The first criterion is having more than five employees; the second criterion is the length of time the business has been running for over two years. This type of research is quantitative research with descriptive and verification analysis. The data used in this research is primary data from questionnaires distributed and secondary data from websites, BPS, and journals. Data analysis in this study used descriptive analysis and Partial Least Square Structural Equation Modeling (PLS-SEM) version 3.0 and SPSS version 22. This research found that the first and second hypotheses were accepted, where the entrepreneurial orientation variable had a positive and significant effect on SMEs performance, and entrepreneurial skills had a positive and significant impact on SMEs performance. The findings of this research can become a reference for business actors, academics, and the government in their relations regarding the performance of SMEs.
Perbandingan Algoritma C4.5 Dan Naive Bayes Untuk Peminatan Penjurusan Pada SMK Negeri 6 Batanghari amrullah, Wahyu; Kurniabudi; Joni Devitra
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 2 (2025): JAKAKOM Vol 5 No 2 SEPTEMBER 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.2.2287

Abstract

This study aims to analyze the comparison of the C4.5 and Naive Bayes algorithms in the selection of majors at SMK Negeri 6 Batanghari. The comparison between the C4.5 and Naive Bayes algorithms is carried out because of the effectiveness and accuracy in decision making. The C4.5 method as a decision tree algorithm provides a clear and easy-to-understand interpretation of the decisions taken, while Naive Bayes with its probabilistic approach is often faster and more efficient in handling large datasets. From the results of the analysis carried out, this study revealed that the two algorithms have different characteristics and performance in classifying student interest data. The C4.5 algorithm based on decision trees tends to be easier to interpret because it produces clear decision rules, while Naive Bayes based on probability has advantages in handling data uncertainty