The objectives of this research are to integrate the Technology Acceptance Model with consumer's trust and prove the consequences on online shopping intention. The variables which analyzed in this research are consumer's trust, perceived of usefulness, perceived of ease of use, consumer's attitude, and online shopping intention. The sampling techniques are the combination of purposive and snowball sampling, so it can be obtained 1.773 respondents from several provinces in Indonesia. Model fit analysis is conducted to test the indices of χ 2 , χ 2 /d.f., GFI, RMSEA, AGFI, TLI, and NFI. Thereafter, path analysis with AMOS-SEM is used to test the significant and positive research hypotheses. Based on research hypotheses test, it can be concluded that the eight hypotheses in this research are supported and can confirm that TAM and consumer's trust can be integrated.Abstrak. Tujuan penelitian ini adalah untuk mengintegrasikan Model Penerimaan Teknologi dengan kepercayaan konsumen dan membuktikan konsekuensinya terhadap intensi belanja online. Variabel yang dianalisis dalam penelitian ini adalah kepercayaan konsumen, persepsi kegunaan, persepsi kemudahan penggunaan, sikap konsumen, dan intensi belanja online. Teknik pengambilan sampel menggunakan kombinasi purposive dan snowball sampling sehingga diperoleh 1.773 responden dari beberapa provinsi di Indonesia. Peneliti melakukan analisis model fit dengan menguji indeks χ 2 , χ 2 /d.f., GFI, RMSEA, AGFI, TLI, dan NFI. Kemudian, Pengujian hipotesis-hipotesis penelitian yang positive dan signifikan menggunakan analisis jalur dengan AMOS-SEM. Berdasarkan hasil pengujian hipotesis-hipotesis penelitian, maka dapat disimpulkan bahwa delapan hipotesis peneltian ini didukung dan dapat mengkonfirmasi bahwa TAM dan kepercayaan konsumen dapat diintegrasikan.Katakunci: intensi belanja online; kepercayaan konsumen; persepsi kegunaan; persepsi kemudahan penggunaan; sikap konsumen; TAM Cronicle of Article :

Objective: This research provide evidence that there are significant and positive influences between the three main predictors of CBE (Consumer Brand Engagement) namely consumer involvement, consumer participation, and self-expressive brand on the three dimensions of CBE namely cognitive processing, affection, and activation. Research Design & Methods: This quantitative research is using purposive sampling combined with snowball sampling method to collect data from 295 respondents which are Iphone users/consumers at several location in Indonesia. Structural Equation Modeling - AMOS is also used to test the nine hypothesis. Findings: six of nine research hypothesis are significantly and positively supported between analyzed variables. Meanwhile, the other three hypothesis aren’t supported. Implications & Recommendations: Based on the findings, it can be stated that for the Apple Inc., as the owner of Iphone brand, they should give more experience, encourage participation, and emotional relation to their consumers as they continue using the products. Ideas, critics, and suggestion from consumers is also important factors to the brand. Contribution & Value Added: This research provides insight to understand CBE dimensions and its antecedents on Iphone smartphone brand which are consumers involvement, consumer participation, and self-expressive brand on cognitive processing, affection, and activation.

This research aims to determine the effect of product quality, customer satisfaction, switching barriers, and brand trust on customer retention. The sample in this research was 116 respondents of Wardah Cosmetics customers from Klaten Regency. This research used one of non probability sampling technique which is purposive sampling method. This study is also using multiple linear regression to analyze the collected data. The results in this research are product quality, customer satisfaction, switching barriers, and brand influence customer retention both partially and simultaneously.

AbstrakAugmented Reality diimplementasikan untuk pengenalan rumah adat yang terdapat di Indonesia sebagai sarana edukasi. Pada Augmented Reality, pengguna (dalam hal ini anak) dapat merasakan sensasi penggabungan objek nyata dengan objek virtual baik secara 2 dimensi maupun 3 dimensi. Dalam menggunakan Augmented reality dapat dilakukan dengan dua metode, salah satunya Marker based tracking. Namun berapa jarak yang optimal untuk digunakan dan berapa sudut kemiringan yang dapat digunakan masih menjadi pertanyaan. Dalam menguji jarak dibutuhkan alat ukur jarak, misalnya penggaris ataupun meteran. Sedangkan dalam menguji sudut kemiringan pendeteksian dibutuhkan alat seperti busur derajat. Pengujian jarak yang dilakukan yaitu dengan variabel 6 cm, 12 cm,18 cm, 25 cm, 35 cm, 45 cm, 55 cm, 65 cm, 75 cm, 85 cm, 95 cm dan 100 cm. Sedangkan untuk sudut kemiringannya dilakukan dengan variabel 10o, 20o, 30o, 45o, 60o, 90o, 100o, 110o, 120o, 135o, 160o, dan 170o. Sehingga ditemukan jarak dan sudut yang optimal dalam pendeteksian marker. Kesimpulan yang didapat dari pengujian ini adalah ditemukannya jarak pendeteksian marker minimal yaitu 6 cm dan jarak maksimal pendeteksian adalah 85 cm dengan marker berukuran 6 x 4,5 cm. Sedangkan sudut minimalnya diperoleh 20° dan sudut maksimalnya adalah 160°.

In recent years, consumers are facilitated with online shop applications and websites. They are no longer needed to visit the “brick-and-mortar” shop to satisfy their needs and wants. Consumers can access the online shop as long as they smart phones are connected to internet network. Online shop also offers a great variety of products and services. This is an interesting topics to be discussed and researched. This reasearch is aimed to provide the evidence that there are positive affects among perceived security, ease of payment, trust in application/website, and online shopping intention. 450 respondents are participated in this research. Path analysis is used to examine the six hypotheses. The result shows that most of hypotheses are supported except H1b which states that perceived security positively affects online shopping intention. Keywords: online shop, smart phone, websites, perceived security, ease of payment, trust in application/website, online shopping intention, online consumers.