LAPAN became serious about making a remote sensing satellite on its third-generation satellite. Launched a year after LAPAN-A2, the third-generation satellite, LAPAN-A3, brought LISAT as the main payload. LISAT is a multispectral camera with 4 bands (Red, Green, Blue, NIR) that can be used for land classification, agriculture monitoring, drought monitoring, and land use changing. LAPAN-A3 is the third generation of micro-satellite developed by Satellite Technology Center -LAPAN. This satellite carries a multispectral push-broom sensor that can record the earth's surface at the visible and near-infrared spectrum. This paper aims to determine object-based land cover classification in Rote Island using the LAPAN-A3 satellite image using the tree method algorithm. This classification technique is expected to increase the accuracy of land cover classification. This classification used the LAPAN-A3 satellite imagery of Rote Island. The first process was determined the segmentation with scale parameter 60, shape 0.5, and compactness 0.5. The result shows that OBIA classification on Rote Island, the area of the open land class is 233.67 km 2 , the area of the settlement is 11.57 km 2 , the body of water is 2006.21 km2, the area of low vegetation is 525.93 km 2 , the area of high vegetation is 437.5 km 2 , and there is no data (cloud and cloud shadows) on the LAPAN-A3 image of 45.78 km 2 . The accuracy values obtained were producer 86.67%, KIA 83.02%, Helden 92.86%, Short 86.7%, KIA per class 82.72%, and 85.96%. This object-based classification can meet international and national land cover classification standards, namely at 80%.

Search engine yaitu kombinasi perangkat keras dan perangkat lunak komputer yang disediakan oleh perusahaan tertentu melalui website yang telah ditentukan. Seiring bertambahnya jumlah hasil citra yang dihasilkan satelit LAPAN-A2 dan LAPAN-A3 baik itu citra SpaceCam maupun citra LISA pada saat ini maka dibuat mesin pencari yang mampu mencari citra satelit dengan akurat. Hasil citra sampai saat ini hanya tersimpan pada folder-folder dengan penamaan khusus. Metode tersebut cenderung manual dan menyulitkan user untuk mencari citra dengan spesifikasi tertentu. Disamping itu, kebutuhan pengguna terhadap data citra pada waktu tertentu menjadi permasalahan utama. Stasiun bumi satelit LAPAN setiap hari secara rutin melakukan kegiatan akuisisi dan pengolahan data citra satelit LAPAN. Data citra satelit LAPAN hasil pengolahan di stasiun bumi ini kemudian diintegrasikan ke dalam satu sistem search engine. Oleh karena itu, fasilitas ini dirancang dan diimplementasikan untuk memenuhi kebutuhan pengguna. Makalah ini akan memaparkan rancang bangun sistem search engine citra satelit LAPAN yang berbasis web. Sistem serach engine yang akan dikembangkan ini diharapkan dapat memudahkan pengguna di Indonesia maupun dunia untuk mengakses dan mengunduh data citra satelit yang telah dihasilkan oleh satelit LAPAN-A2 dan LAPAN-A3 secara langsung. Disamping sebagai media penyimpanan, dengan menggunakan sistem search engine citra berbasis web akan mempermudah Pusteksat untuk mendiseminasikan produk satelit LAPAN-A2 dan LAPAN-A3

AbstrakSatelit LAPAN-A2/LAPAN-Orari dan LAPAN-A3/LAPAN-IPB telah menghasilkan sejumlah citra satelit sejak peluncuran di, Sriharikota India, pada tahun 2015 dan 2016. LAPAN berharap bahwa hasil tracking satelit membutuhkan media penyimpanan yang memungkinkan untuk menjadi lebih mudah diakses dan menarik bagi publik. Hasil citra sampai saat ini hanya tersimpan pada folder-folder dengan penamaan khusus. Metode tersebut cenderung manual dan menyulitkan operator untuk mencari citra dengan spesifikasi tertentu. Disamping itu, kebutuhan pengguna terhadap data citra pada waktu tertentu menjadi permasalahan utama. Stasiun bumi satelit  LAPAN setiap hari secara rutin melakukan kegiatan akuisisi dan pengolahan data citra satelit LAPAN. Data citra satelit LAPAN hasil pengolahan di stasiun bumi ini kemudian diintegrasikan ke dalam satu sistem katalog dengan sinkronisasi informasi hasil pengolahan data. Oleh karena itu, fasilitas ini dirancang dan diimplementasikan untuk memenuhi persyaratan pengguna. Makalah ini akan memaparkan rancang bangun sistem baisis data katalog citra satelit LAPAN yang berbasis web dan near-real time. Sistem basis data katalog ini diharapkan dapat memudahkan pengguna di seluruh Indonesia untuk mengakses dan mengunduh data citra satelit LAPAN secara langsung.Disamping sebagai media penyimpanan, dengan menggunakan katalog citra berbasis web akan mempermudah Pusteksat untuk mendiseminasikan produk satelit LAPAN Kata Kunci: Satelit, LAPAN-A2, LAPAN-A3, katalog, basis data AbstractThe LAPAN-A2 / LAPAN-Orari and LAPAN-A3 / LAPAN-IPB satellites have produced a number of satellite imagery since the launch at, Sriharikota India, in 2015 and 2016. LAPAN hopes that the results of satellite tracking require storage media that allows it to be more accessible and attractive to the public. Image results to date have only been stored in folders with special names. The method tends to be manual and makes it difficult for operators to find images with certain specifications. In addition, user needs for image data at certain times become the main problem. The LAPAN satellite earth station routinely conducts acquisition and processing of LAPAN satellite image data every day. The LAPAN satellite image data from the processing at this earth station is then integrated into one catalog system by synchronizing information from the data processing. Therefore, this facility is designed and implemented to meet user requirements. This paper will describe the design of a web and near-real-time LAPAN satellite image catalog data analysis system. This catalog database system is expected to facilitate users throughout Indonesia to access and download LAPAN satellite image data directly. Aside from being a storage media, using a web-based image catalog will make it easier for Pusteksat to disseminate LAPAN satellite products. Keywords: Satellite, LAPAN-A2, LAPAN-A3, catalogue, database

In a room, whether it is an open or closed room, there are various kinds of circumstances or conditions. The condition affects the value contained relativity weather environment around where we are. As well as the normal condition of the human body temperature that ranges between 36.5°C upto 37.5°C, so it should always be monitored and maintained the normal condition, if not then there is an undesirable state such as fever. Normal human body temperature conditions can be determined by using a measuring instrument such as a thermometer. In this paper designed a series of applications used to monitoring the amount of temperature and humidity of an opened and closed rooms. Results from research using SHT11 sensor shows the magnitude of temperature and humidity performed in close room for 12 hours with an average yield of ambient temperature and humidity chamber are -8.79°C and 84.1%. AbstrakDalam suatu ruang, baik itu ruang terbuka maupun ruang tertutup, terdapat berbagai macam jenis keadaan atau kondisi cuaca. Kondisi tersebut mempengaruhi nilai relativitas cuaca yang terdapat disekitar lingkungan tempat kita berada. Seperti halnya kondisi normal suhu pada tubuh manusia yang berkisar antara 36.5°C sampai 37.5°C, sehingga harus selalu dimonitor dan dijaga kondisi normal tersebut, jika tidak maka terjadi suatu keadaan yang tidak diinginkan seperti demam. Kondisi suhu tubuh manusia normal dapat diketahui dengan menggunakan alat ukur berupa termometer. Pada makalah ini didesain suatu aplikasi rangkaian yang digunakan untuk memonitoring besaran suhu dan kelembaban suatu ruang terbuka dan ruang tertutup. Hasil dari penelitian dengan menggunakan sensor SHT-11 menunjukkan besaran suhu dan kelembaban pengukuran diruang tertutup dilakukan selama 12 jam dengan hasil rata-rata suhu sekitar -8.79°C dan rata-rata kelembaban ruang sebesar 84.1%.

After several years of launch, the LAPAN-A2 satellite has produced a huge amount of telemetry data consisting of information on the status of the satellite's condition during orbit. The telemetry generated by the satellite is in the form of real-time telemetry and long-time telemetry. So far, telemetry data is only stored in a folder with a unique name. This method tends to be manual and makes it easier for users to analyze satellite conditions. This system was developed using the System Development Life Cycle (SDLC) approach, wherein the development process has five stages, namely planning, analysis, design, implementation, and testing. This paper will describe the design of a web-based satellite telemetry information system. The system has been tested using structural, functional, and usability tests. The evaluation results show that this information system is affordable and accepted well. The usability test results show that the LAPAN-A2 satellite, telemetry data information system, has met usability needs very well. Respondents have successfully carried out many experiments. In this case, operators and satellite analysis, with a question value of 86.22%, can be answered and 13.77% unable to be answered.