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Pengaruh Media Sosial Instagram dan Word of Mouth Terhadap Keputusan Pembelian Produk Ningsih, Trans; Suginam, Suginam
Journal of Business and Economics Research (JBE) Vol 5 No 1 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jbe.v5i1.4894

This research aims to determine how much influence social media instagram and word of mouth have on purchasing decisions in Youneed Clothes product. The research method used is descriptive and quantitative with the data sources used are primary and secondary data from a sample of 75 customers with data collection techniques by distributing online questionnaires. The data analysis method used is multiple linear regression analysis, multiple correlation analysis, hypothesis testing and analysis of the coefficient of determination. Based on the results of the study obtained multiple linear regression equation Y = 2,943 + 0.687X1 + 0.184X2. Hypothesis testing using t test shows that the social media instagram variables studied have a positive and significant effect on purchasing decisions with statistical results for social media instagram variables known to be tcount (7.796) > ttable (1.99254) with a significant value of 0.000 < 0.05, for the word of mouth variable, it is known that the value of tcount (1.610) < ttable (1.99254) with a significant value of 0.112 > 0.05, so it is known that the word of mouth variable has no effect on the purchasing decision variable. Simultaneously (F test) the results obtained Fcount > Ftable (72.403>3.12) at a significant 0.000 <0.05. This means that the two independent variables of social media and word of mouth have a positive and significant effect on the dependent variable of purchasing decisions. Furthermore, looking at the contribution of the independent variable to the dependent variable seen from the coefficient of determination (R2) of 0.653 so that purchasing decisions can be explained by social media and word of mouth of 65.3% while the remaining 34.7% is influenced by other variables outside the scope of research that are not researched.

The Role of Customer Satisfaction as an Intervening Variable between Servicescape and Repurchase Intention: A Study on Maxx Coffee Customers in Medan Surbakri, michael novranda; Tamba, Iventura Fitra Uli; Ningsih, Trans; Agusman
Journal Of Management Analytical and Solution (JoMAS) Vol. 5 No. 1 (2025): Journal Of Management Analytical and Solution (JOMAS)
Publisher : TALENTA Publisher, Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomas.v5i1.19848

Nowadays, cafes that serve coffee drinks are competing with one anotherextremely quickly. Understanding customer behavior is one strategy to win thecompetition. For instance, keeping an eye on customer satisfaction and theservicescape of their workplace. The aim of this research was to evaluate andascertain how Servicescape and Customer Satisfaction directly affectRepurchase Intention, as well as how Customer Satisfaction functions as anintermediate variable. A sample of 150 respondents was used in the descriptiveassociative research design. Using the Smart PLS application, the data analysistechnique is (Partial Least Square) PLS. The findings revealed that Servicescapeand Customer Satisfaction have a positive and significant effect on RepurchaseIntention; Servicescape has a positive and significant effect on CustomerSatisfaction; and Servicescape has a positive and significant effect onRepurchase Intention via Customer Satisfaction at Customer Maxx Coffee inMedan. The R-squared value for the variable of repurchase intention is 0.786,whereas the variable of customer satisfaction is 0.684. The acquisition of thesevalues explains that the percentage of large intention to repurchase can beexplained by servicescape and customer satisfaction of 78.6%, while theacquisition of the value that explains the percentage of the large performance ofcustomer satisfaction can be explained by servicescape of 68.4%.

The Role of Customer Satisfaction as an Intervening Variable between Servicescape and Repurchase Intention: A Study on Maxx Coffee Customers in Medan Surbakri, michael novranda; Tamba, Iventura Fitra Uli; Ningsih, Trans; Agusman
Journal Of Management Analytical and Solution (JoMAS) Vol. 5 No. 1 (2025): Journal Of Management Analytical and Solution (JOMAS)
Publisher : TALENTA Publisher, Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomas.v5i1.19848

Nowadays, cafes that serve coffee drinks are competing with one anotherextremely quickly. Understanding customer behavior is one strategy to win thecompetition. For instance, keeping an eye on customer satisfaction and theservicescape of their workplace. The aim of this research was to evaluate andascertain how Servicescape and Customer Satisfaction directly affectRepurchase Intention, as well as how Customer Satisfaction functions as anintermediate variable. A sample of 150 respondents was used in the descriptiveassociative research design. Using the Smart PLS application, the data analysistechnique is (Partial Least Square) PLS. The findings revealed that Servicescapeand Customer Satisfaction have a positive and significant effect on RepurchaseIntention; Servicescape has a positive and significant effect on CustomerSatisfaction; and Servicescape has a positive and significant effect onRepurchase Intention via Customer Satisfaction at Customer Maxx Coffee inMedan. The R-squared value for the variable of repurchase intention is 0.786,whereas the variable of customer satisfaction is 0.684. The acquisition of thesevalues explains that the percentage of large intention to repurchase can beexplained by servicescape and customer satisfaction of 78.6%, while theacquisition of the value that explains the percentage of the large performance ofcustomer satisfaction can be explained by servicescape of 68.4%.

Implementasi Metode Multi Attribute Utility Theory (Maut) Pada Sistem Pendukung Keputusan Recruitment Barista Pada Arabica Cafe Kusuma, Ade Ayunda; Ningsih, Trans
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 7, No 1 (2024): Transformasi Komputasi Kuantum Untuk Percepatan Teknologi Baru
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v7i1.7914

Arabica Cafe is a coffee shop that provides various types of coffee and drinks which have their own characteristics depending on the coffee maker or barista who makes the coffee. Based on interviews conducted with the owner of Arabica Cafe and several related parties, it was explained that the assessment of prospective baristas who apply is still based on individuals so that lack of accuracy in recruiting prospective baristas is considered to be an ongoing problem for cafe owners. therefore a decision support system (DSS) is needed which is expected to be able to help in resolving these problems. A Decision Support System (SPK) is a computerized system used to assist decision making in a company or organization. The decision support system as a solution in solving problems with the application and application of the Multi Attribute Utility Theory (MAUT) method which is able to provide maximum results to obtain superior barista recruitment is Fanny Sembiring in alternative A9 with a result of 0.80832 as the alternative chosen in the recruitment of baristas after going through the stages application of the method.

Pengaruh Strategi Pemasaran Media Sosial Terhadap Peningkatan Pendapatan UMKM Anggraini, Dwi Pertiwi; Suginam, Suginam; Ningsih, Trans
Journal of Business and Economics Research (JBE) Vol 6 No 2 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jbe.v6i2.6820

Marketing strategies using social media are currently very necessary considering the increasingly developing information technology. The lack of use of social media as promotional media for MSMEs also reduces the existence of these businesses among consumers. The aim of this research is to determine the effect of social media marketing strategies on increasing MSME income. The population in this study were all MSME actors in several villages in Tanjung Morawa District, namely 672 MSMEs with a sample of 20 MSME businesses taken randomly. The data collection technique in this research is by using a questionnaire. And the data analysis technique used is to carry out simple regression analysis. The results of the tests that have been carried out show that the t value for the social media marketing strategy variable is 4.286 > t table 1.734 and the significant value is 0.005 < 0.05, so Ho is rejected and Ha is accepted, thus partially the social media marketing strategy has a positive and significant effect on increasing MSME income. . The R square value is 0.427 or 42.7%. This means that the social media marketing strategy is able to explain its presence in increasing MSME income by 42.7%, while the remaining 57.3% is explained by other variables not examined in this research.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU TERBAIK MENGGUNAKAN METODE MAUT DENGAN PEMBOBOTAN ROC (STUDI KASUS: SDN 101883 PASAR XIII) Nst, Rizky Perdana; Sembiring, Abdul Sani; Ningsih, Trans
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.18051

Selecting the best teacher is crucial in the field of education as it motivates educators who have taught students and allows for recognition of their efforts. However, currently, the data collection process is poorly organized, leading to suboptimal outcomes in identifying the best teachers. Therefore, this study uses a decision support system applying the Multi-Attribute Utility Theory (MAUT) to calculate the competency scores for each teacher and rank them accordingly. MAUT, which stands for Multi-Attribute Utility Theory, is used for decision-making by identifying relevant attributes and assigning weights to each attribute based on its importance. The implementation of a decision support system using MAUT is expected to assist in accurately and effectively determining the best teacher at SDN 101883 Pasar XIII. This research aids SDN 101883 Pasar XIII in making structured, accurate decisions regarding the selection of the best teacher. The study results indicate that Salome Pandiangan, S.Pd, with a score of 0.818975, is identified as the best teacher at SDN 101883 Pasar XIII.

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