Indonesia merupakan salah satu negara dengan tingkat bencana alam yang cukup tinggi, seperti gempa bumi, sehingga penyebaran informasi mengenai peringatan dini sangat penting. Media sosial Twitter menjadi salah satu tempat penyebaran informasi mengenai peringatan dini bencana alam gempa bumi di Indonesia melalui akun BMKG. Namu belum diketahui kualitas penyebaran informasi dari media sosial Twitter tersebut, oleh karena itu dibuatlah visualisasi untuk menganalisis kualitas penyebaran informasi dengan media sosial Twitter. Penelitian ini dilakukan dengan tiga tahap, yaitu retrieving, preprocessing kemudian visualisasi. Proses retrieving digunakan untuk mengambil data Tweet akun BMKG di Twitter. Tahap preprocessing berfungsi untuk mendapatkan hasil analisis kualitas informasi gempa bumi. Setelah itu hasil analisis data ketepatan waktu, relevansi, kelengkapan data beserta keakuratan data dibuat kesimpulan yang menyatakan kualitas informasi penyebaran gempa bumi, lalu hasilnya di tampilkan dalam bentuk visualisasi grafik.

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The use of mixture models in the application implementation helpdesk aims to find the spread of data from various data hordes in order to find data near the desired results. It aims to facilitate the search for information derived from the company's technical documents. The use of helpdesk applications is to manage complaint data or any problems that are owned by customers, thus requiring service providers. Because companies engaged in services have a number of customers who are not small and have different problems. As well as having customers in different locations - requiring customer data management that can store location data with ease to use, it is preferred to store customer's address data. For that helpdesk application also uses map mapping online by using google map.Purpose in order to present the data online and can be accessed wherever located.

Indonesia is a country with high rate of natural disaster, so any information about early warning of natural disaster are very important. Social media such as Twitter become one of tools for spreading information about natural disaster warning from account of Meteorology, Climatology and Geophysics Agency (BMKG), therefore, the effectiveness of this kind of method for providing information have not known yet. The statement becomes the reason that the visualization is needed to analyze the information spread of natural disaster early warning with Twitter. This study is performed in 3 steps, which is retrieving, preprocessing then visualization. Retrieving process is used to get the tweet data of BMKG account in twitter then save into database, while preprocessing is done to process tweet data that has been saved in database by grouping the data according to the category, which includes Meteorology, Climatology, and Geophysics according to existing keyword, also reduce tweet data that is unimportant like BMKG's reply tweet toward other user's question. Visualization stage uses the result of preprocessing data into line chart graphic, bar chart and pie chart. Highest information spreading from BMKG tweet happened in Geophysics at March with 25987 re-tweets, while the highest peak happened at 2 March 2016 with information about 8.3 SR earth quake in Mentawai islands, West Sumatera with total of 6145 re-tweets, dengan totl 6145 re-tweets. Abstrak  Indonesia adalah sebuah negara dengan tingkat bencana alam yang tinggi, sehingga setiap informasi tentang peringatan dini bencana alam sangat penting. Media sosial seperti Twitter menjadi salah satu media untuk menyebarkan informasi yang berasal dari Badan Meteorologi Klimatologi dan Geofisika (BMKG), oleh karena itu keefektifan metode semacam ini untuk memberikan informasi belum dapat diketahui. Alasan tersebut menjadi alasan bahwa penyebaran peringatan bencana alam dengan twitter. Penelitian ini dilakukan melalui tiga tahapan, yaitu retrieving, preprocessing, kemudian visualization. Proses retrieving dilakukan untuk mendapatkan data tweet dari akun BMKG di twitter kemudian disimpan dalam database, sedangkan preprocessing dilakukan untuk mengolah data tweet yang telah disimpan dalam database dengan mengelompokan data sesuai dengan kategori, yang meliputi meteorologi, klimtologi, dan geofisika menurut kata kunci yang ada, serta mengurangi data tweet yang tidak penting seperti tweet balasan BMKG ke pertanyaan pengguna lain. Tahap visualisasi menggunakan hasil preprocessing data menjadi grafik charts, bar charts dan pie charts. Penyebaran informasi tertinggi dari tweet BMKG terjadi di Geophysics pada bullan Maret dengan 25987 re-twwets

The dry season in Batam brings the threat of drought. The dry season has an impact in the form of the threat of fires in settlements and protected forests in the Rempang and Galang Islands, Batam. Based on the survey and analysis activities in 2018, it is known that residential areas in Pasir Panjang Village often experience fires, however, residents do not yet have the knowledge and ability to handle early fire disasters. In the 2018 community service activities, socialization was carried out with the Batam City Fire Service, but it had not yet reached the technical realm. Fire handling training is required for residents with fire extinguishers, however, residents' access to this tool is still limited and the price is quite expensive. This activities has produced an application prototype based on augmented reality to simulate the use of a fire extinguisher as a media for educating citizens. The application prototype has been tested and can serve as a training medium for residents. In addition, this community service program also provides training and assistance in handling in a fire disaster.