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"Competition of election mayor of Banjar city very tight and the results is no easy to guess. There are too many variable who effected of the candidates victory, which is, political party sponsored., solid campaign team, big budget, campaign central messages, campaign method, candidate image and constituent treatment can become an significant variable to get the victory. scientific method who accurate and trusted to understood the voters with make a survey. Survey can show strength and weakness the candidates infront of the voters. Specifically, the information who get from survey are, first popularization measure, second, election level possibility, third, votes reason mapping, forth, significant issued identification, fifth, campaign strategy identification. Concerned with that, behavior voters survey would become considerable value political mapping for the candidate to get a victory. Research result indicate people animo about election mayor of Banjar city are very huge. People aspiration include individual characteristic figure, which is, integrity, economic capability, drummed up region commitment, leadership provisionally put a finger on a big attention accordingly the heftiest candidate mayor of banjar city hold on incumbent mayor dr. Herman Sutrisno"

""In late Elizabethan England, political appeals to the people were considered dangerously democratic, even seditious: the commons were supposed to have neither political voice nor will. Yet such appeals happened so often that the regime coined the word 'popularity' to condemn the pursuit of popular favour. Jeffrey S. Doty argues that in plays from Richard II to Coriolanus, Shakespeare made the tactics of popularity - and the wider public they addressed - vital aspects of politics. Shakespeare figured the public not as an extension of the royal court, but rather as a separate entity that, like the Globe's spectators who surrounded the fictional princes on its thrust stage, subjected their rulers to relentless scrutiny. For ordinary playgoers, Shakespeare's plays offered good practice for understanding the means and ends of popularity - and they continue to provide insight to the public relations strategies that have come to define modern political culture"--"

"Pertukaran data secara peer-to-peer telah berhasil mendapatkan popularitas dengan cepat terutama di industri pengiriman media digital seperti musik dan video. Beberapa penelitian menunjukkan bahwa penggunaan bandwidth untuk jaringan peer-to-peer mencapai 60% dari total lalu lintas internet. Meningkatnya penggunaan aplikasi peer-to-peer, mengakibatkan dependensi antara peer di dalam sistem. Satu peer saja yang hilang atau mati bisa mengakibatkan kegagalan bagi peer-peer lainnya karena data yang ada di peer tersebut ikut hilang. Penelitian ini bertujuan mengembangkan strategi replikasi dan pencarian dokumen yang memanfaatkan konsep lokalitas dan popularitas dokumen. Dokumen-dokumen populer yang dimiliki oleh suatu peer dibuat replikanya ke peer lain yang memiliki kemiripan koleksi dengan peer tersebut. Penulis melaksanakan simulasi untuk menguji strategi yang diusulkan dengan memodifikasi simulator untuk locality-aware peer-to-peer system yang telah dikembangkan sebelumnya oleh peneliti lain (Hamzah, 2007). Hasil penelitian menunjukkan bahwa strategi yang diusulkan penulis menunjukkan peningkatan performa dibandingkan dengan strategi lain yang merepresentasikan bentuk default dari strategi server-side replication dan client-side replication. Penelitian juga menunjukkan bahwa strategi ini menunjukkan performa yang baik di situasi dimana sebaran query lebih diutamakan untuk dokumen yang populer dan sesuai dengan specialty dari peer yang menginisiasi query.

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Peer-to-peer system has achieved a huge popularity, especially in the digital media industry. Research has shown that 60% of the bandwidth usage in the internet is accumulated by peer-to-peer system. With the increasing usage and demand of peer-to-peer system, comes a high dependency between user or peer in the system. Even one dead peer could cause a failure to many other peers because the dead peer took along all of its data with it. This research aims to develop a search and replication strategy that utilize the concept of locality and document popularity. A popular document that is owned by a peer will be replicated to other peer that share some similarity with the original peer's document collection. A simulation is done by modifying an existing simulator made by another researcher in the field of locality-aware peer-to-peer system (Hamzah, 2007). The result is that the strategy proposed by this research have shown improvement in performance compared to the other strategy that is supposed to represent server-side replication and client-side replication in its default form. This research has also shown that the strategy proposed performed better in a situation where the query prioritize documents with better popularity and have the same topic as the peer's specialty."

"Salah satu bentuk ulasan digital saat ini adalah consumer review website (CRW). Website Zomato merupakan salah satu CRW yang banyak digunakan dan indeks popularitas restoran yang ada di dalamnya memudahkan penggunanya untuk memilih restoran yang terbaik, terutama di Kota Bandung yang terkenal akan kulinernya. Mengingat indeks popularitas di sini penting, perlu diketahui distribusi spasial restoran berindeks popularitas, karakteristiknya, dan faktor yang mempengaruhi distribusi spasial indeks popularitas restoran di Kota Bandung. Data yang diperlukan berupa data atribut restoran, POI fungsional, kawasan CBD, jaringan jalan, penggunaan lahan dan kepadatan penduduk. Metode analisis yang digunakan berupa Nearest Neighbor Analysis (NNA), Kernel Density, Near Analysis, uji ANOVA/Kruskal Wallis, dan uji Pearson Product Moment. Hasil yang didapatkan berupa restoran terbanyak berada pada Kecamatan Bandung Wetan, Kecamatan Coblong, dan Kecamatan Sumur Bandung. Restoran dengan popularitas tinggi, sedang, dan rendah memiliki karakteristik distribusi spasial yang mengelompok dan kepadatan yang besar di lokasi yang memiliki kemudahan aksesibilitas, terdapat POI fungsional yang mendukung, dekat dengan pusat kegiatan, dan berada di permukiman. Rata-rata jarak restoran ke jaringan jalan, POI Fungsional, dan penggunaan lahan dimana restoran tersebut berada menjadi faktor yang berpengaruh terhadap indeks popularitas restoran. Hasil korelasi antara kepadatan penduduk dan indeks popularitas restoran menunjukkan tidak ada korelasi diantara keduanya.

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One form of digital review today is the consumer review website (CRW). The Zomato website is one of the most widely used CRWs and the restaurant popularity index in it makes it easy for users to choose the best restaurant, especially in the city of Bandung which is famous for its culinary. Given the importance of the popularity index here, it is necessary to know the spatial distribution of the popularity indexed restaurant, its characteristics, and the factors that affect the spatial distribution of the restaurant popularity index in Bandung. The data needed are restaurant attribute data, functional POI, CBD area, road network, land use and population density. The analytical methods used are Nearest Neighbor Analysis (NNA), Kernel Density, Near Analysis, ANOVA/Kruskal Wallis test, and Pearson Product Moment test. The results obtained in the form of the most restaurants are in Bandung Wetan District, Coblong District, and Sumur Bandung District. Restaurants with high, medium, and low popularity have the characteristics of clustered spatial distribution and large density in locations that have easy accessibility, have functional POIs that support, are close to the center of activity, and are located in residential areas. The average distance of the restaurant to the road network, functional POI, and land use where the restaurant is located are factors that affect the restaurant popularity index. The correlation between population density and restaurant popularity index shows no correlation between the two. "

"Internet menjadi sarana komunikasi yang paling penting dalam kehidupan sehari-hari. Dengan perkembangan internet yang cukup pesat membuat sektor perhotelan mencari cara untuk memberikan informasi mengenai hotelnya dengan media situs internet. TripAdvisor merupakan salah satu situs yang berisi ulasan mengenai pariwisata di Indonesia maupun di dunia, salah satunya adalah mengulas sebuah hotel. Situs yang dimiliki TripAdvisor ini biasa disebut dengan Consumer Review Website (CRW) yang berartikan informasi elektronik yang menggunakan kata-kata orang lain sebagai informasi untuk rekomendasi hotel. TripAdvisor memiliki basis data 1001 hotel di Kota Bandung yang termasuk didalamnya terdapat indeks popularitas, alamat hotel, dan kelas hotel. Data ini didapatkan dari Application Program Interface (API) di situs TripAdvisor. Indeks popularitas diklasifikasikan menjadi tiga, yaitu klasifikasi rendah, klasifikasi sedang dan klasifikasi tinggi. Pengklasifikasian juga dilakukan pada kelas hotel yang dibagi menjadi 3 kelas yaitu hotel bintang 4-5, hotel bintang 1-3, dan hotel non bintang. Analisis yang digunakan adalah Nearest Neighbor Analysis (NNA) dan Kernel Density (KD). Dengan hasil tersebut didapatkan bahwa hotel di Kota Bandung memiliki pola yang mengelompok. Pengelompokan ini dikarenakan adanya pola yang mengikuti jaringan jalan dan faktor lain seperti kebijakan Pemerintah Kota Bandung. Selain itu, hotel berbintang dan non bintang berdasarkan indeks popularitas akan dipengaruhi oleh objek disekelilingnya dan aksesibilitasnya. Semakin rendah bintang dan popularitasnya maka semakin jauh dari titik fungsional serta akses yang rendah, dan sebaliknya. Selain itu, faktor pemasaran dan kebijakan pemerintah menjadi salah satu yang mempengaruhi indeks popularitas

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The internet is the most important of communication in everyday life. With the growing development of the internet, the hotel sector is looking for ways to provide information about their hotels using the internet as media. TripAdvisor is one site that contains reviews of tourism in Indonesia and in the world, one of which is reviewing a hotel. This site owned by TripAdvisor is commonly called the Consumer Review Website (CRW) which means electronic information that uses other people's words as information for hotel recommendations. TripAdvisor has a database of 1001 hotels in Bandung which includes a popularity index, hotel address, and hotel class. This data is obtained from the Application Program Interface (API) on the TripAdvisor website. The popularity index is classified into three categories, namely low classification, medium classification, and high classification. Classification is also carried out on hotel classes which are divided into 3 classes, namely 4 - 5 star hotels, 1-3 star hotels, and non-star hotels. The analysis used is Nearest Neighbor Analysis (NNA) and Kernel Density (KD). With these results, it is found that hotels in the city of Bandung have a clustered pattern. This grouping is due to a pattern that follows the road network and other factors such as Bandung City Government policies. In addition, star and non-star hotels based on the popularity index will be influenced by the surrounding objects and their accessibility. The lower the star and the popularity, the further away from the low functional and access point, and vice versa. In addition, marketing factors and government policies are among the factors affecting the popularity index"

"Penelitian ini bertujuan untuk membahas bagaimana iPhone sebagai suatu merek smartphone dapat menghasilkan intensi pembelian ulang melalui daya tarik estetis, kultural, dan utilitarian yang ditawarkan produknya. Faktor- faktor tersebut akan menghasilkan gengsi/prestise bagi pengguna iPhone, yang berujung pada timbulnya intensi pembelian ulang. Penelitian ini merupakan penelitian kuantitatif dengan desain deskriptif, dengan pengolahan data menggunakan structural equation modeling SEM . Hasil penelitian menunjukkan bahwa untuk membentuk intensi pembelian ulang, produk iPhone harus mampu untuk membentuk gengsi/prestise bagi para penggunanya.

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This study focuses on how iPhone as smartphone brand manages to form repurchase intention of its customers through their aesthetics, cultural, and utilitarian appeal. These factors will eventually form a prestige for its users, which in the end will shape the customers repurchase intention. This study uses a quantitative method, with the design of a descriptive study, and data processing SEM. The result of this study shows that in order to form repurchase intention, iPhone would have to generate a prestige associated with the use of iPhone."

"ABSTRAKPenelitian ini bertujuan untuk mengetahui pengaruh scarcity, popularity, dan consumer ratings terhadap online hotel booking intentions konsumen. Data diperoleh dari penyebaran kuesioner kepada 94 responden, pria dan wanita berkewarganegaraan asli Republik Indonesia, dengan usia berkisar antara 18-35 tahun, dan pernah melakukan pemesanan hotel secara online dalam kurun waktu 6 bulan terakhir. Analisis data dilakukan menggunakan software SPSS 22, dengan metode independent sample t-test dan three way ANOVA. Hasil penelitian ini menunjukan bahwa terdapat pengaruh yang signifikan dari consumer ratings dan popularity terhadap online hotel booking intentions. Sedangkan scarcity tidak memiliki pengaruh yang signifikan.

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ABSTRACTThis study aims to analyze the influence of scarcity, popularity, and consumer ratings on consumers online hotel booking intentions Data were collected using questionnare which distributed to 94 respondents, aiming for man and woman from 20 to 35 years old and is having Indonesian citizenship, have ever booked a hotel online in the last 6 months. SPSS 22 is used to employe the data, independent sample t test and three way ANOVA. The result of this research shows that consumer ratings and popularity has significant effects on online hotel booking intention. Futhermore, scarcity is proven has no effect on online hotel booking intentions. "

"ABSTRAKIndustri e-commerce adalah industri yang paling bergantung pada pemasaran media sosial .Tujuan dilakukannya penelitian ini adalah untuk menjadi acuan bagi perusahaan-perusahaan e-commerce dalam membuat strategi pemasaran di media sosial dengan menganalisa faktor-faktor apa saja yang berpengaruh pada peningkatan brand post popularity share, like, reactions dan komentar dan bagaimana pengaruhnya. Faktor-faktor yang akan dianalisa diadopsi dari beberapa studi sebelumnya yaitu tingkat vividness, tingkat interactivity, durasi di posisi teratas, dan panjang pesan. Data yang akan di observasi adalah 136.009 status dari 75 brand e-commerce yang memiliki akun di Facebook dan kemudian akan dianalisa menggunakan analisa regresi poisson.

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ABSTRACTE commerce industry is the industry most dependent on social media marketing. The aim of this study is to be a guide for brands to help them create a solid social media marketing strategy by analyzing factors influencing brand post popularity shares, likes, reactions, and comments and how these factors influence. The factors that will be analyzed are adopted from previous studies and they are levels of vividness, levels of interactivity, duration on top and message length. The data that will be used to be analyzed consists of 136.009 statuses from 75 e commerce brands that has a brand page on Facebook. Then, the data will be tested via poisson regression analysis."

"ABSTRAKSaat ini, hampir seluruh industri tidak terkecuali industri pariwisata pasti bersentuhan dengan teknologi informasi. Peranan teknologi dalam meningkatkan industri pariwisata di Indonesia sangat erat kaitannya. Selama berwisata, wisatawan juga dapat membagikan pengalamannya melalui upload foto maupun aktif berkomentar baik di media sosial maupun di forum diskusi yang khusus membahas tentang pariwisata. Informasi seputar kondisi pariwisata, pengalaman wisatawan, opini serta foto yang di upload dari tempat wisata, dapat diolah menjadi suatu informasi yang sangat bermanfaat, salah satunya adalah dapat dimanfaatkan untuk pemeringkatan popularitas. Untuk itu diperlukan suatu sistem yang dapat memberikan informasi tentang popularitas tujuan wisata. Informasi yang dihasilkan sangat bermanfaat untuk semua kalangan, mulai dari wisatawan, masyarakat, pemerintah, hingga industri pariwisata. Dalam penelitian ini dibuat rancangan sistem yang dapat menentukan peringkat tujuan wisata yang paling populer dengan memanfaatkan analisis sentimen. Ada lima komponen penilaian untuk menghasilkan nilai akhir dari peringkat popularitas yaitu comment count, facebook likes count, facebook were here count, facebook talking about dan instagram visitor. Pada penelitian ini, peneliti memutuskan untuk menggunakan strategi klasifikasi berdasarkan pada algorima naïve bayes (NB) karena merupakan suatu metode yang sederhana dan intuitif yang kinerjanya mirip dengan pendekatan lain. Selain itu, berdasarkan penelitian-penelitian terdahulu, NB menggabungkan efisiensi waktu kinerja yang optimal yang cukup akurat."

"ABSTRACTSocial media is an effective media to increase brand popularity. Previous studies found that the brand has significant effects on the consumers purchasing decision. Indicator of brand popularity on social media includes the number of followers, likes, shares, comments, and views of the video. The objective of this study is to analyze the effects of post time, post content, and brand interaction on brand post popularity of Facebook fan page. Data collected through observation of six (6) international top brands on the Facebook fan page. Data were analyzed using logit regression method. The results show that post time, post content, and brand interaction have significant effects on brand popularity. The managerial implication, it is crucial to highlight that Facebook is a useful platform on brand popularity building. Our discussion section shows some suggested in managing the brand based on our results. "