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"ABSTRAKTujuan penelitian ini adalah untuk menganalisis bagaimana pengaruh brandassociations terhadap consumer response produk Apple iPhone. Pendekatan inimenggunakan pendekatan kuantitatif. Pendekatan kuantitatif menggunakansampel sebanyak 100 pengguna Apple iPhone di wilayah Jakarta dan Yogyakartadengan nonprobability sampling serta teknik convenience sampling. Instrumenpenelitian kuantitatif menggunakan kuesioner yang dianalisis menggunakanStructural Equation Modelling (SEM). Hasil penelitian kuantitatif menunjukkanbahwa brand association atribut guarantee dan personal identification memilikipengaruh yang signifikan dan positif terhadap consumer response atribut brandextension, recommendation, serta price premium. Sedangkan, brand associationsatribut social identification dan status berpengaruh signifikan dan positif terhadapconsumer response, atribut brand extension, serta price premium, namun tidakmemiliki pengaruh signifikan terhadap recommendation.

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ABSTRACTThe objective of this research is to analyze how the influence of brandassociations towards consumer response of Apple iPhone. This research appliedquantitativeapproach. Quantitative approach used 100 users of Apple iPhone inJakarta and Yogyakarta, collected using nonprobability sampling and conveniencesampling technique. Quantitative research instrument used questionnaire andanalyzed using Structural Equation Modelling (SEM). The result of quantitaiveresearch shows that guarantee and personal identification from brand associationsattributes has a significant and positive influence towards all consumer responseattributes, which is brand extension, recommendation, and the price premium.Meanwhile, social identification and status from brand associations attributes hassignificant and positive influence on brand extension as well as a premium price,but does not have a significant influence on recommendation."

"Segmentasi semantik adalah sebuah task pada bidang computer vision yang dewasa ini menjadi semakin penting. Segmentasi semantik sendiri dapat dipakai untuk memisahkan satu benda dengan benda yang lainnya, baik pada dua dimensi maupun tiga dimensi. Segmentasi semantik tiga dimensi umumnya mengutilisasikan sebuah point cloud yang dapat diambil menggunakan sensor Light Detection and Ranging (LIDAR). Sejak 2020, Apple menyertakan sensor LIDAR pada beberapa model iPhone. Hal tersebut memungkinkan orang awam untuk merekonstruksi berbagai objek dan keadaan di sekitarnya. Berdasarkan hal tersebut, dapat dirumuskan sebuah aplikasi yang dapat membantu penggunanya untuk melakukan scan terhadap benda rumah tangga untuk mengetahui panjang, lebar, tinggi, dan volume melalui kombinasi dari segmentasi semantik dan beberapa metode lainnya. Dibandingkan juga performa beberapa model yang menjadi kandidat integrasi dengan aplikasi tersebut, yaitu Dynamic Graph Convolutional Neural Network (DGCNN), Kernel Point Convolutional Neural Network (KPConv), Point Transformer, dan Point Transformer dengan Contrast Boundary Learning (CBL). Hasil pengujian menujukkan bahwa Point Transformer dengan CBL memiliki Intersection over Union yang paling baik. Didapatkan juga bahwa DGCNN adalah model yang paling baik untuk diimplementasikan sepenuhnya pada iPhone untuk edge computing.

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Semantic segmentation is a computer vision task that has become increasingly important in recent years. Semantic segmentation can be utilized to separate one object from another in a two dimensional or three dimensional environment. Semantic segmentation normally utilizes a point cloud that can be obtained using a Light Detection and Ranging (LIDAR) sensor. As of 2020, Apple has packaged a built-in LIDAR sensor on a few iPhone models. This allows everyday users to reconstruct all sorts of objects around them. Owing to that

fact, there can be formulized an application that helps its users to find the length, width, height, and volume of an object through a combination of semantic segmentation along with a few other methods. We also compared the performance of different models as candidates to be integrated into the application, which are Dynamic Graph Convolutional Neural Network (DGCNN), Kernel Point Convolutional Neural Network (KPConv), Point Transformer, and Point Transformer with Contrast Boundary Learning (CBL). We found that Point Transformer with CBL has the best Intersection over Union result. We also found that DGCNN is the best model to be fully implemented on an iPhone for edge computing."

"Semakin berkembangnya zaman, penggunaan ponsel pun semakin meningkat. Perusahaan yang bersaing dalam pangsa pasar ponsel semakin gencar melakukan inovasi ? inovasi baru dalam penjualan produknya. Apple merupakan salah satu perusahaan yang ikut bersaing dalam pasar ponsel tersebut. Salah satu kebijakan Apple dalam berinovasi adalah dengan cara merilis produk iPhone 5C bersamaan dengan iphone 5S tepat satu tahun setelah Apple merilis produk iPhone 5. Situasi ini mengakibatkan produk Apple iPhone 5 memiliki dua varian yang berbeda pada waktu yang bersamaan. Penelitian ini akan membahas faktor ? faktor apa saja yang akhirnya mempengaruhi seseorang untuk memiliki minat beli varian produk Apple iPhone generasi 5. Objek penelitian ini adalah Apple iPhone 5, iPhone 5C, dan iPhone 5S. Penelitian ini menggunakan metode structural equation modeling yang bertujuan mengetahui pengaruh antar faktor dengan jumlah responden sebanyak 274 orang. Hasil dari penelitian ini menunjukkan faktor yang paling berpengaruh pada varian iPhone 5 adalah Charging and Operating Facilities dengan nilai signifikansi sebesar 0,922. Pada iPhone 5C yang paling berpengaruh adalah faktor physical attributes dengan nilai sebesar 0,811 , Dan pada iPhone 5S faktor yang paling berpengaruh juga physical attributes dengan nilai 0,781.

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In the Growing period, the use of mobile phones is increasing. Companies competing in the market share of the mobile phone increasingly vigorous innovation ? new innovation in the sale of its products. Apple is one of the companies which compete in the mobile market. One of Apple's policy in innovating is by releasing the iPhone 5C products along with iPhone 5S exactly one year after Apple released its iPhone 5 products. This situation resulted the Apple iPhone 5 directly has two different variants at the same time. The object of this research are the Apple iPhone 5, iPhone 5C, and iPhone 5S. This research method is using structural equation modeling aimed at knowing the influence between the factor with the number of 274 respondents. The results showed the most significant factor in the type of iPhone 5 is Charging and Operating Facilities with a value of 0.922. On the iPhone 5C factor Physical Attributes with the value 0.811, and On the iPhone the most influential factor 5S is also Physical Attributes with the value 0.781."

"Brand personality merupakan strategi yang dapat mendorong konsumen untuk melakukan word of mouth. Saat ini, word of mouth menjadi penting karena word of mouth merupakan salah satu alternatif lain bagi konsumen untuk mencari informasi tentang suatu produk dan lebih dipercaya oleh konsumen dibandingkan iklan konvesional. Selain itu dengan adanya brand loyalty konsumen akan lebih merasakan word of mouth dibandingkan tidak melalui brand loyalty. Tujuan utama dari penelitian ini adalah untuk mengetahui bagaimana pengaruh brand personality terhadap word of mouth melalui brand loyalty. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengambilan purposive sampling dan snowball sampling. Pada penelitian ini sampel yang digunakan sebanyak 200 responden pengguna iPhone di Jakarta dan Depok. Instrumen penelitian ini menggunakan kuesioner dan dianalisis menggunakan Structural Equation Modeling SEM . Hasil penelitian menunjukan bahwa brand personality memiliki pengaruh yang signifikan terhadap word of mouth melalui brand loyalty.

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Brand personality is strategy to encourage consumers to do word of mouth. Word of mouth is important because word of mouth is one of alternative for those seeking information about a product and more trusted by consumers than conventional advertising. In addition with brand loyalty customers would more feel word of mouth than not through brand loyalty. The objective of this study is to determine how the influence of brand personality on word of mouth through brand loyalty. This study uses a quantitative approach with purposive sampling and snowball sampling technique was applied in this research. This research use 200 respondents consumer iPhone in Jakarta and Depok. The instruement of this research is using questionnaires and it is analyzed by using Structural Equation Modeling SEM . The results of this research showed that brand personality had a significant effect on word of mouth through brand loyalty."

"This book shows you how to use the powerful new cocos2d, version 2 game engine to develop games for iPhone and iPad with tilemaps, virtual joypads, Game Center, and more. It teaches you, the process and best practices of mobile game development, including sprite batching, texture atlases, parallax scrolling, touch and accelerometer input. How to enhance your games using the Box2D and Chipmunk physics engines and other cocos2d-related tools and libraries. How to add UIKit views to cocos2d and how to add cocos2d to UIKit apps. The ins and outs of the Kobold2D development environment for cocos2d and its pre-configured libraries, including cocos3d and Lua.This book will have you making games right from the very start. It guides you step-by-step through the creation of sample games. These fun examples are modeled after popular App Store games and teach you key concepts of the new cocos2d 2 game engine and relevant tools like TexturePacker (texture atlas), PhysicsEditor (physics collision shapes), Particle Designer (particle effects), Glyph Designer (bitmap fonts), and others."

"Objective-C is a powerful, object-oriented extension of C, making this update the perfect follow-up to Dave Mark’s bestselling Learn C on the Mac. Whether you’re an experienced C programmer or you’re coming from a different language such as C++ or Java. A complete course on the basics of Objective-C using Apple’s newest Xcode tools. An introduction to object-oriented programming. Comprehensive coverage of new topics like blocks, GCD, ARC, class extensions, as well as inheritance, composition, object initialization, categories, protocols, memory management, and organizing source files. An introduction to building user interfaces using what is called the UIKit. A primer for non-C programmers to get off the ground even faster."

"ABSTRAKPenelitian ini bertujuan untuk mempelajari tentang self concept, kesadaran terhadap brand dan faktor-faktor motivasi konsumsi conspicuous consumption dan brand self congruency yang ada di dalam diri masyarakat perkotaan di Jabodetabek terhadap luxury smartphone yaitu Apple iPhone 6 sehingga mempengaruhi perilaku nyata konsumen untuk melakukan loyalitas terhadap brand dan memiliki minat beli. Penelitian ini menggunakan metode penelitian kuantitatif dengan desain deskriptif.Hasil analisis data dari 140 responden yang menggunakan Structural Equation Modeling (SEM) ini menyarankan bahwa pemasar luxury smartphone perlu memahami self concept yaitu kesadaran diri di mata publik, membangun kepribadian brand yang dapat diterima dan memiliki kongruensi dengan diri konsumen dan mempertahankan nilai luxury pada brand yang dapat menggambarkan status tertentu di masyarakat sehingga dapat mempengaruhi brand loyalty dan purchase intention konsumen terhadap brand tersebut.

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ABSTRACT

This research aims to study the self concept, brand consciousness, and consumption motivations (conspicuous consumption and brand self congruency) of urban people in Jakarta Greater Area towards Apple iPhone 6 as luxury smartphone. These factors will affect consumers? real behavior to have brand loyalty and purchase intention towards the product and the brand. This research used quantitative research method with descriptive design.

The result of 140 respondents? data analysis using Structural Equation Modeling (SEM). suggested that the luxury smartphone marketers need to understand the self concept?public self consciousness, to build brand personality that can be accepted and having congruence with consumers? self concept, and maintain the luxury value of brand that could describe specified status in the society so can affect consumers? brand loyalty and purchase intention towards the brand."

"iOS 5 recipes : a problem-solution approach is your guide to developing solutions on iPad, iPhone, and other iOS 5 devices and platforms. This book provides in-depth code samples and discussions for scenarios that developers face every day. You'll find numerous examples of real-world cases that will enable you to build fully functional applications quickly and efficiently. The recipes included in this book are wide in scope, and have been geared toward the professional developer. You'll find clear and concise code samples accompanying each recipe, and will be presented with cutting-edge solutions that bring forth the best that the iOS 5 SDK has to offer. The recipes include, working with Interface Builder in the latest version of Xcode, building applications that incorporate animation and multimedia, building location-aware apps, and understanding best practices for application design and development."

"If you’re an iOS app developer, chances are you’ll be using table views in your development projects. Table views are the bread and butter of iOS apps. With them, you can create everything from the simplest of lists to fully tricked-out user interfaces. Table views are also one of the most complex components found in UIKit. While using them for boring standard user interfaces is quite simple, customizing them can become really challenging.Pro iOS Table Views takes a task-oriented focus to assist you when implementing customized table views. Although it delves deeply into the Table View API, you can always decide in which level of detail you want to dive in. It’s aimed to be a great reference and customization cookbook at the same time, useful for beginners as well as intermediate developers. Fitur, covers the entire Table View API in depth, covers customization and performance topics in depth, and task-oriented reference with multiple levels of detail."