scholarly journals Perencanaan dan Penjadwalan Pariwisata dengan Konsep Jejaring Sosial

Author(s):  
Meiliana Meiliana ◽  
Krishna Nugraha ◽  
Kevin Liemunandar

Most of tourist will choose new unvisited tourism spot as their new tourism destination. However, limited information of the new tourism destination often becomes a barrier to plan and schedule their tourism activity. The purpose of this research is to create an application called IndoLista, to provide complete tourism spot information, create tourism planning and schedule with social media concept. The social media concept will facilitate communication and interaction between user to get updated information in effective way. Eachuser will be able to organize their tourism planning with application's feature provided, completed by detail information of tourism spot. Research methodology is divided into two parts; analysis method by book andjournals study literature, analyze similar application, user data collection with quisioner and and design method with UML tools. Quisioner evaluation conclude society opinion that the application as research result, give asolution to user in the interest of planning and schedulling online tourism trip by providing complete information of tourism spot and facilitating interaction and communication between user via social media concept.

Author(s):  
Burhanuddin Arafah ◽  
Muhammad Hasyim

The very fast development of information technology which is characterized by an influx of industry 4.0 has changed the way of human and behavior in language. The grammar which is a phenomenon of interest to language is examined along with behavior change language in the internet world. A phenomenon in language online is the emergence of the use of visual language emoji in conducting conversations in social media. This paper aims to discuss the phenomenon of visual language emoji among internet users in social media (WhatsApp). The aspects that will be emphasized are language (grammar) of emoji. Research methods carried out is observation and descriptive. Method of data collection is the division of the questionnaire online, and communications in WA screenshot that uses emoji icons. The research result show that emoji is a language (grammar) used in communicating in social media. Emoji language has dominated the conversation or message written on the social media and emoji (WA) as a language (syntax, semantics, and pragmatics) is part of the sentence, punctuation, expression, expressing feelings and thoughts to the opponent talk. The language of emoji expression indicates that the emoji can represent the thoughts and feelings instead of using verbal language. Thus, emoji is composed of two directions, i.e. language and parole. The language of emoji is the social institution of emoji (grammar) in social media, and the individual is the parole act, an actualized manifestation of the function of the emoticons language in syntactic, semantic and pragmatic.


Solusi ◽  
2021 ◽  
Vol 19 (2) ◽  
Author(s):  
Adhi Widyakto ◽  
Endang Tri Widyarti

<p align="center"><strong><em>Abstra</em></strong><strong><em>ct</em></strong><em> </em></p><p><em> </em><em>Offline marketing </em><em>on farm</em><em> products </em><em>needs high</em><em> cost. The high cost of marketing results in a less competitive selling price. Digital marketing is the right solution to this problem. This study aims to analyze the right digital marketing strategy for the company. The analytical method used is the analysis of Sosta</em><em>c.</em><em>. The research result states that the company combines offline and online marketing. The media used are the marketplace and social media. </em><em>The marketplace dairy focused on providing complete information regarding massive products and promotions to drive sales transactions. Meanwhile, Social media facebook is focused on building relationships with customers and personal closeness to </em><em>create customer loyalty</em><em>.</em></p><p><em>K</em><em>eywords</em><em>: </em><em>on dairy product</em><em>, </em><em>digital marketing, marketing management</em><em></em></p><p> </p><p align="center"><strong>Abstrak</strong> </p><p>Pemasaran offline dalam produk peternak susu sapi perah telah memakan banyak biaya. Tingginya biaya pemasaran berdampak pada harga jual yang kurang kompetitif. Pemasaran digital menjadi solusi yang tepat dalam permasalahan ini. Tujuan dari penelitian ini buat analisis strategi pemasaran digital paling tepat untuk perusahaan. Metode yang dipakai adalah analisis sostacs. Hasil penelitian menyebutkan bahwa perusahaan mengkombinasikan pemasaran offline dan online. Media yang digunakan adalah marketplace dan sosial media. Marketplace peternak susu sapi perah dan media sosial facebook difokuskan untuk memberi informasi yang lengkap terkait produk dan promosi yang massif untuk meningkatkan penjualan. Sementara media sosial whatsapp lebih difokuskan untuk membangun relasi dan kedekatan personal untuk menciptakan loyalitas pelanggan</p><p>Kata kunci: Produk Susu Sapi Perah, Pemasaran Digital, Manajemen Pemasaran</p>


2021 ◽  
Vol 5 (1) ◽  
pp. 39
Author(s):  
Farah Amalia ◽  
Ady Widyakto ◽  
Lulus Parpti NSS

<p><em>Offline marketing in agricultural products </em><em>needs high</em><em> cost. The high cost of marketing results in a less competitive selling price. Digital marketing is the right solution to this problem. This study aims to analyze the right digital marketing strategy for the company. The analytical method used is the analysis of Sostacs and Aida. The research result states that the company combines offline and online marketing. The media used are the marketplace and social media. </em><em>The marketplace Agromaret focused on providing complete information regarding massive products and promotions to drive sales transactions. Meanwhile, Social media facebook is focused on building relationships with customers and personal closeness to </em><em>create customer loyalty</em><em>.</em></p>


2020 ◽  
Vol 11 (4) ◽  
pp. 490-507
Author(s):  
Haroon Nasser Alsager

Numerous studies have been concerned with developing new authorship recognition systems to address the increasing rates of cybercrimes associated with the anonymous nature of social media platforms, which still offer the opportunity for the users not to reveal their true identities. Nevertheless, it is still challenging to identify the real authors of social media’s offensive and inappropriate content. These contents are usually very short; therefore, it is challenging for stylometric authorship systems to assign controversial texts to their real authors based on the salient and distinctive linguistic features and patterns within these contents. This research introduces a new stylometric authorship system that considers both the shortness of data and the peculiar linguistic properties of Arabic. A corpus of 20, 357 tweets from 134 Twitter users. A document clustering based on Document Index Graph (DIG) model was used to classify input patterns in the tweets that shared common linguistic features. A comparative analysis using Vector Space Clustering (VSC) model based on the Bag of Words (BOW) model, conventionally used in authorship recognition applications, was used. Results indicate that the proposed system is more accurate than other standard authorship systems mainly based on vector space clustering methods. It was also clear that the model had the advantage of providing complete information about the documents and the degree of overlap between every pair of documents, which was useful in determining the similarity between documents.


Author(s):  
Aulia Nur Kasiwi ◽  
Achmad Nurmandi

Purpose: Social media has been used by the government to disseminate information to the public. As we know that the transformation of organization have a several aspect which are related within values, behaviour knowledge, organization culture and mindset of the employee it self. This research aim to investigate the social media infomation through out the public policy. Methodology: The research question is how the government can be able to use social media to know the main point in the data that crowded. This research using mix method of gathering the data analysis within the quantitative and qualitative method. Gephy is the one of application that was using in this research for analyzing the integrated system each department by social media especially on Facebook. Main Findings: The research result is the part of facebook analysis has found that government organization has a 40%. For the partition of Community Service is 20%. For the Public & Government Service has a 20% because Bangga Surabaya just received the information comes from Sapawarga Kota Surabaya. As well as the Media/News Company namely with Kabar Surabaya pages that has 20%. Implications: The conclusion is, on the one hand, the subjective government of Surabaya has made efforts to be able to carry out the collectivity of information received through social media where this will also help the government's performance in providing services to the community. Novelty: this research describes the government practice and implementation on social media to increase their performance and make social media beneficially as the new tool to communicate with the public.


2021 ◽  
Author(s):  
Haroon Nasser Alsager

Numerous studies have been concerned with developing new authorship recognition systems to address the increasing rates of cybercrimes associated with the anonymous nature of social media platforms, which still offer the opportunity for the users not to reveal their true identities. Nevertheless, it is still challenging to identify the real authors of social media’s offensive and inappropriate content. These contents are usually very short; therefore, it is challenging for stylometric authorship systems to assign controversial texts to their real authors based on the salient and distinctive linguistic features and patterns within these contents. This research introduces a new stylometric authorship system that considers both the shortness of data and the peculiar linguistic properties of Arabic. A corpus of 20, 357 tweets from 134 Twitter users. A document clustering based on Document Index Graph (DIG) model was used to classify input patterns in the tweets that shared common linguistic features. A comparative analysis using Vector Space Clustering (VSC) model based on the Bag of Words (BOW) model, conventionally used in authorship recognition applications, was used. Results indicate that the proposed system is more accurate than other standard authorship systems mainly based on vector space clustering methods. It was also clear that the model had the advantage of providing complete information about the documents and the degree of overlap between every pair of documents, which was useful in determining the similarity between documents.


2019 ◽  
Vol 7 (2) ◽  
pp. 163-169
Author(s):  
Silvester Dian Handy Permana ◽  
Maya Cendana

Abstract : The financial climate in Indonesia is now growing and developing especially for MSME businesses. In moving the small and medium economy, many Indonesians become small traders who market products to others. They seek their fortune to become traders for profit. Some traders sell their wares in stalls and others that sell around. Many of Indonesian traders have not used information technology to sell. While information technology can be utilized only from one hand through social media. Social media like Facebook Instagram and Twitter can be used to sell merchandise. This service activity provides complete information on social media for MSME business traders or entrepreneurs. This activity will also provide a strategy to win the social media market. This activity is expected to help people who are doing MSME business to sell their business online through social media.Abstrak : Iklim perekonomian di Indonesia sekarang sedang tumbuh dan berkembang terutama untuk bisnis UMKM. Di dalam menggerakkan perekonomian mikro kecil dan menengah, Banyak masyarakat Indonesia menjadi pedagang kecil yang memasarkan suatu produk kepada orang lain. Mereka mencoba peruntungan nasib menjadi pedagang untuk mencari keuntungan. Beberapa pedagang menjual dagangannya di lapak dan lainnya ada yang menjual keliling. Banyak dari pedagang Indonesia belum memanfaatkan teknologi informasi untuk berjualan. Padahal teknologi informasi dapat dimanfaatkan hanya dari genggaman tangan salah satunya melalui media sosial. Media sosial seperti Facebook Instagram dan Twitter dapat digunakan untuk menjual barang dagangannya. Kegiatan pengabdian ini memberikan informasi secara menyeluruh mengenai media sosial untuk para pedagang atau pegiat bisnis UMKM. Kegiatan ini akan memberikan juga strategi untuk memenangkan pangsa pasar dalam media sosial. Kegiatan ini diharapkan dapat membantu masyarakat yang berbisnis UMKM untuk menjual bisnisnya secara online melalui media sosial.


2017 ◽  
Vol 16 (1) ◽  
pp. 12-24 ◽  
Author(s):  
Nicole Behringer ◽  
Kai Sassenberg ◽  
Annika Scholl

Abstract. Knowledge exchange via social media is crucial for organizational success. Yet, many employees only read others’ contributions without actively contributing their knowledge. We thus examined predictors of the willingness to contribute knowledge. Applying social identity theory and expectancy theory to knowledge exchange, we investigated the interplay of users’ identification with their organization and perceived usefulness of a social media tool. In two studies, identification facilitated users’ willingness to contribute knowledge – provided that the social media tool seemed useful (vs. not-useful). Interestingly, identification also raised the importance of acquiring knowledge collectively, which could in turn compensate for low usefulness of the tool. Hence, considering both social and media factors is crucial to enhance employees’ willingness to share knowledge via social media.


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