Nowadays some universities have been using elearning in the teaching-learning process.Generally e-learning available in the form of web based application, but does not exist in the form of mobile application yet. Problem that arise when using a mobile device is the screen size is too small, so that the user need to zoom and scroll to get comfortable viewing. Another problem is the user using varying operating system such as android, blackberry and iOS. To overcome those problems, this research is conducted to assist in the teaching-learning process by developing a model of mobile e-learning application that can run on cross-platform, which is on Android and BlackBerry platform. The application is created using PhoneGap that uses HTML5, CSS3, and JavaScript based on Hybrid Mobile Application. The system on the application follows Lentera e-learning system based on Moodle. Lentera is a web based e-learning system used in Petra Charistian University. On the server side, it takes a modified Moodle's source code based on PHP so the application can be run in accordance with the system. The application has a different interface from the website version. The interface is designed to be suitable on smartphone which is has limited screen space. The result shows that the application can run on crossplatform, those are Blackberry and Android smartphone. The application also runs online together with the Lentera website. The basic features of Lentera have been successfully implemented on this application. Assessment of the application as a whole is more than 50% of respondents answered very good.

Digital Movement of Opinion (DMO) using hashtag #TrueBeauty on Twitter was conducted by the fans of True Beauty as one of the most popular Webtoon’s comic. The fans gave their opinion about the perfect cast for the movie adaption of the comic. The objective of this research is to analyse the network that was formed by the DMO of #TrueBeauty. The method that had been used was social network analysis and the datasets mining was done using Netlytic. This research indicates that fans as the actors of the DMO were spreaded widely across the network and not centralized into certain dominant actors. The actors was divided into different clusters and every cluster has its own characteristics based on different locations and cultures. Therefore the role of influencers or dominant actors in every cluster is very important to deliver opinions with a style that suits every community. Moreover, text analysis found that film industry should pay attention to social media opinion, because many of the opinion were reflects the original desires of every fan without any intermediaton from any parties.

Cryptocurrency Dogecoin awalnya dianggap sebagai meme coin namun telah mengalami kenaikan nilai tukar sebanyak 800% pada Januari 2021 dan bertambah lagi sebesar 400% pada April 2021. Hal ini tidak lepas dari dukungan kuat dari komunitas cryptocurrency Dogecoin dan top public profiles pada media sosial Twitter. Penelitian ini menggunakan metode digital netnography untuk melihat pola komunikasi jaringan komunitas cryptocurrency Dogecoin di Twitter. Komunitas yang diteliti tidak terpusat pada akun komunitas tertentu namun meliputi seluruh akun Twitter yang aktif berdiskusi mengenai Dogecoin. Batasan penelitan adalah pada tanggal 1 April - 9 Mei 2021 bertepatan dengan beberapa peristiwa penting yang terjadi. Data yang digunakan adalah semua percakapan pada Twitter dengan kata kunci "Doge" dan diambil menggunakan social network analysis tools Brand24 dan Netlytic. Penelitian ini menemukan adanya 5 tipe interaksi yang merupakan pola komunikasi jaringan Dogecoin. Pola komunikasi yang ditemukan pada penelitian ini dapat memberikan masukan bagi pengembang Dogecoin dan cryptocurrency lainnya tentang pentingnya memberikan informasi yang dapat meyakinkan komunitas untuk tetap hold sebuah cryptocurrency. Kemudian pentingnya membina komunitas yang saling mendukung dan memberi semangat di antara anggota komunitas, dan pentingnya bekerjasama dengan top public profiles untuk memberikan keyakinan dan konfirmasi untuk mengatasi keresahan komunitas terkait volatility yang tinggi dari sebuah cryptocurrency.

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ABSTRAKIndonesia merupakan negara dengan pertumbuhan pengadopsi mobile commerce (m-commerce) signifikan di Asia Tenggara seiring dengan tingkat pertumbuhan penyedia layanan m-commerce teutama pada sektor Business to Consumer (B2C) di Indonesia. Layanan m-commerce di Indonesia tersedia dalam bentuk aplikasi mobile maupun mobile friendly version dari website e-commerce yang telah ada. Melihat tingkat pertumbuhan adopsi m-commerce B2C tersebut maka penelitian ini dilakukan untuk mengetahui strategi apa yang dilakukan oleh penyedia layanan m-commerce B2C di Indonesia untuk menunjuang faktor adopsi teknologi m-commerce tersebut. Penelitian dilakukan dengan metode analisis isi kulatitatif deskriptif menggunakan faktor adopsi m-commerce yaitu trust, cost, social influences, variety of services, perceived usefulness, perceived ease of use, dan trialability. Objek penelitian adalah 3 toko online B2C terpopuler di Indonesia dengan ranking Alexa di bawah 100 yaitu Lazada, Zalora, dan Bhinneka. Dari hasil penelitian ini dapat disimpulkan bahwa ketiga toko online tersebut memiliki dan menerapkan strategi-strategi untuk menunjang faktor adopsi m-commerce pada aplikasi mobile maupun mobile friendly version dari website e-commerce. Kata kunci: m-commerce, B2C, Aplikasi mobile, adopsi. ABSTRACT Indonesia is a country with significant amount of mobile commerce (m-commerce) users in Asia Pasific