This research examines the relationship between social media marketing activities and purchase intention mediated by trust and brand image to confirm the constructs with practical applicability, specifically in a growing online ride-hailing service company. This study employs a quantitative approach with a causal research design to test the proposed hypotheses to identify interrelationships between each pair of constructs. Data collection was performed through a survey of 350 respondents via an online questionnaire as the primary data source distributed to social media users in Indonesia who had experienced using GO-JEK services. In addition, EFA, CFA, SEM, and bootstrapping methods were run to analyze these research data. Social media marketing, trust, and brand image affect consumers’ purchase intention significantly. Among the five dimensions of social media marketing, the findings show that two dimensions—namely, entertainment and word of mouth, bring the most significant direct effect on purchase intention. Trust and brand image mediate the relationship between social media marketing and purchase intention. This study suggests practical directions for organizations. First, it reveals the social media dimensions that directly encourage purchase intention among consumers. Second, it explains that trust and brand image can amplify each variable’s influence on the purchase intention among consumers. GO-JEK is an example of the online ride-hailing industry that causes the generalizability issue in different business contexts. Based on our findings, there are some practical directions for GO-JEK. First, it reveals the social media marketing dimensions that directly encourage purchase intention among consumers to use GO-JEK. Second, it explains that trust and brand image can amplify the influence of each variable on consumers’ purchase intention. Very few studies investigated social media marketing’s role in a GO-JEK business model in the Indonesian context. This research delivers in-depth insights into the significant factors that affect Indonesian consumers to decide which product they intend to buy through the influence of social media activities.

The 4A tourism components, including attraction, accessibility, amenities, and ancillary, become prominent variables to be explored for their impact on visitor satisfaction and attitudinal loyalty mainly for relatively new tourism destination. This research conducted at Gili Ketapang Beach located at Probolinggo Regency as this new destination got more attention among tourists in Indonesia. Direct survey and online survey were done to collect the data from the destination spot, which gained 41 useable questionnaires. Due to sample size constraint, this research uses Partial Least Square to analyze the relationship among variables. The finding confirms that only attraction and ancillary that significantly influences visitor satisfaction; while accessibility and amenities do not have a significant role in visitor satisfaction. Next, attitudinal loyalty influenced by attraction, ancillary, and facilities but not availability. Satisfaction indeed affects visitor attitudinal loyalty of Gili Ketapang Beach. Further, the mediation role of satisfaction is well proven to amplify the role of 4A tourism components, except for accessibility.

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Purpose This paper aims to identify the typology of fashion lifestyle that is relevant to predict the individual difference in evaluating Islamic fashion product. Design/methodology/approach The study involved female respondents aged above 16 years and wearing hijab. The sample of this research is 697 respondents from four big cities in Indonesia (Jakarta, Bandung, Surabaya and Malang) with the population in this study constituting 264 million Indonesian people. A random procedure with socio-demographic (sex, age and habitat) quotas was used for selecting respondent, and data is obtained using questionnaire research instruments. Findings There are 11 factors and 6 segments for clustering the respondents of Islamic fashion lifestyle. The cluster analysis demonstrated that the mean of personality pursuit, Sharia dressing style orientation and religiousity is greater than 4.00 on all clusters. This score proves that the consumers of Islamic fashion among six clusters have high level or religiousity and Sharia dressing style. Originality/value Considering the upcoming issue on Indonesia Moslem market subculture, this research explores market segmentation based on Islamic fashion lifestyle. In 2015, Indonesia reached the fifth rank in the world Islamic fashion market with $13.28bn potential market value and the average of 10.17% fashion industry growth annually (Euromonitor, 2018).

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Dewasa ini, pihak individu dan organisasi telah memanfaatkan media website sebagai teknologi informasi untuk membagikan atau mendapatkan informasi secara mudah dalam waktu singkat. PKM Center Universitas Ahmad Dahlan telah menggunakan media website sebagai pelayanan lomba setiap mahasiswa, tetapi mendapatkan sejumlah masukan dari pengguna terkait tampilan website yang kurang atraktif, dan informasi yang disampaikan kurang aktual. Penelitian ini bertujuan untuk menganalisis website PKM Center Universitas Ahmad Dahlan berdasarkan persepsi pengguna melalui pendekatan WebQual 4.0. Proses analisis diawali dengan menyusun hipotesis penelitian untuk mengkaji antara hubungan variabel independen yang terdiri dari kegunaan, kualitas informasi, dan kualitas layanan interaksi terhadap variabel dependen yaitu kepuasan pengguna. Proses kedua adalah menyusun, dan menguji instrumen penelitian melalui uji validitas dan uji reliabilitas oleh 30 mahasiswa. Proses ketiga adalah mendapatkan data primer melalui penyebaran instrumen kepada 130 mahasiswa. Proses terakhir adalah mengkaji hasil interpretasi responden melalui uji normalitas, uji korelasi uji-t, dan uji-f untuk pembuktian hipotesis penelitian. Hasil penelitian menunjukkan bahwa setiap variabel independen secara parsial maupun simultan berkorelasi, dan berhubungan kuat terhadap variabel dependen.

This study was made to classify the types of children's reading books based image on the on the cover. The types of books used in this research are fairy tales, educational books and comics. The problem that occurs is that there are many types of reading books so that there are no errors in identifying children's literature, then classification is carried out. Uses approximately 1002 image data. This study uses the method Convolutional Neural Network (CNN). The purpose of this study was to classify the types of children's reading books to suit the age of the reader. It is hoped that the research objectives can make it easier for parents to find books that are appropriate for their child's age. Convolutional Neural Network (CNN) is a method deep learning that is usually used to process data in the form of images. The research stages start from literature study, data collection, data processing, needs analysis, design, implementation and testing. The collection uses several methods, namely: literature study, documentation method, interview and questionnaire method. The design is carried out from input image data, followed by calculating the accuracy and classification process which results in image classification. Implementation using the Python programming language. Evaluation of the performance of testing the accuracy value using the confusion matrix. The result of the research is a system that can classify the types of children's reading books using 70% training data and 30% test data. With an accuracy rate above 80%.