Forest inventories such as tree canopy density information require a long time and high costs, especially on extensive forest coverage. Remote sensing technology that directly captures the surface vegetation character with extensive recording coverage can be used as an alternative to carrying out such inventory activities. This research aims to determine the level of vegetation canopy cover density on rubber plants that became the location of the research and know the accuracy of the resulting data. The method used in this research is a combination of remote sensing image interpretation, geographic information system, and field measurement. Information retrieval from remote sensing data is done by using ASTER data imagery. This stage includes three parts, namely: pre-field stage, field stage, and post-field stage. The pre-field stage includes the collection of data to be used (including literature studies related to the theme of the study), image processing (geometric and radiometric correction), cropping, masking, land cover classification, vegetation index transformation, and sample determination. The final result of data processing showed that the density of the vegetation canopy in the research area ranged between 7.31 – 12.952 cm / m2 in each grade of vegetation density. These values indicate the range of low-class vegetation canopy cover density to high-class vegetation canopy cover density in the research area. In this research error rate or root mean square error obtained from the calculation of canopy cover density is equal to 1.89.

The existence of animals in Indonesia is now increasingly threatened along with the destruction of forest ecosystems and animal hunting. Many animals are now nearly extinct. Meanwhile, the introduction of Indonesian protected animals is only through the text media, images or video contained in the study book and internet. With limited knowledge about extinct animal many people still do not know about the animals and cause the lack of public awareness to help conserve protected animals in Indonesia. Augmented reality technology can be one of the media technologies that can be used for the introduction of animals to the community by benefitting from marker based tracking as the pattern of target identification. This article discusses an application development on how to bring animals’ 3D objects into smartphone in order to inform those which exist in Indonesia. From the results of questionnaires 30 respondents stated, the Application of Animal Protected Introduction has been very good in terms of display and 3D objects and has been good in terms of new information obtained.

Most people in Batam hinterland work as a fisherman. The process of the fishery product distribution, however, is inefficient. The absence of marketplace causes fishermen's difficulty in selling their fishery products. This sales and distribution problem can be mediated using our web application. This research attempts to facilitate customer to customer (C2C) transaction by providing fishery products information via text messages. The SMS gateway is deemed to be the best alternative in a rural area with poor infrastructure. Fishermen are only required to send information about their fishery product in a text message with their phone and the system will receive and display them. The payment is then done using the Cash on Delivery system (COD). This research concludes that the system runs smoothly; it can display the fishery product offers and manage the fishermen and their fishery product data. The SMS gateway test showed a good result in the experiment involving 10 consecutive texting with three different treatments.

Kecamatan Galang, dengan Sembulang sebagai ibu Kota Kecamatan merupakan bagian dari Kota Batam, Provinsi Kepulauan Riau. Berdasarkan hasil survei lapangan yang dilaksanakan pada 21-23 Agustus 2018 di Kantor Kecamatan Galang dan Kantor Kelurahan Sembulang ditemukan beberapa masalah yaitu belum tersedianya peta kecamatan dan keluruhan atau desa yang sesuai dengan kaidah kartografis, bahkan hanya Desa Sembulang dari seluruh desa yang ada di Kecamatan Galang yang memiliki peta desa, desa yang lain belum punya. Keterlibatan masyarakat dalam pemetaan desa juga sangat kurang sehingga banyak terjadi kesalahpahaman dalam penentuan batas kartometrik. Selain itu, kurangnya pengetahuan masyarakat dan perangkat desa tentang penggunaan peta sebagai dasar pengelolaan ruang untuk mengembangkan potensi wilayah. Berdasarkan hal tersebut akan dilaksanakan kegiatan pengabdian sesuai dengan kebutuhan masyarakat (hasil diskusi dengan Camat Galang) yaitu pelatihan pembuatan peta desa dan kelurahan Se-Kecamatan Sembulang Kota Batam dengan 3 kegiatan utama yaitu, pertama pelatihan penggunaan GPS hanheld, deliniasi citra google earth, dan perekaman informasi geospasial. Kegiatan Pelatihan (Bimtek) Pembuatan Peta Desa dan Kelurahan Se-Kecamatan Galang, Kota Batam telah dilaksanakan pada Selasa, 6 Agustus 2019 dengan diikuti oleh 39 peserta. Peserta dalam kegiatan ini adalah perangkat Kecamatan Galang, Para Lurah, Sekretaris Lurah, dan perangkat kelurahan yang ada di Kecamatan Galang. Kegiatan pelatihan dimulai dengan penyampaian materi ruang lingkup informasi geospasial dan sosialisasi penggunaan peta, dilanjutkan dengan pelatihan penggunaan GPS Handheld untuk merekam data spasial seperti fasilitas umum dan lokasi wisata, dan pelatihan pembuatan peta desa dengan menggunakan software Argish.

One part of the hydrologic cycle which has a major influence in increasing the amount of river flow discharge is surface runoff. The higher surface runoff discharge, causing the possibility of surface flooding, therefore required an empirical model that can calculate the amount of surface runoff so as to produce updated data and quickly change according to their needs. One of the empirical methods that can be used to calculate the amount of surface runoff is by using the curve number method. This research is done by utilizing remote sensing image, that is, ALOS AVNIR-2. Data extraction from ALOS imagery includes land cover information using multispectral classification analysis, slope inclination information through visual interpretation, and land use interpretation. The runoff that occurred in Banjarnegara Regency tends to be high, that is, 61.24 percent of the total area of the research area. Large runoff with very high/extreme class spread on the form of hilly land to the old volcano complex at the study site. The runoff in the medium to low class only covers 3.56 percent of the total area and is distributed on the fluvial form with the flat-to-flat slopes. The result of analysis of runoff data is obtained from slope analysis and type of land use in the research location. Increasingly steep slope with little vegetation-land use, then the greater the runoff that occurs. Finally, the research result could be implemented into higher student class activity, especially in remote sensing classes, GIS, cloud computing, and big data analysis. By this process, the students will be improved their skills in analyzing imagery data as well as create new information derived from the remote sensing data.