Kuala Geulumpang village is one of the villages in Julok subdistrict where most of the community is a business group that processes fish into cracker or known as pakang fish. One of the problems experienced by the business group is the drying process, especially in the rainy season which result decrease in the color quality and taste of pakang fish products. This service program aims to provide a solution for drying media that is not depend by weather conditions, namely a home dried system using an integrated solar panel media based on solar energy through solar cell and current batteries storage. This method has advantages compared with conventional methods are that are not affected by the weather, faster the drying process, minimizes fish damage caused by decaying so that the quality of the product is maintained and can be accepted by consumers on time. Through the application of fish dryer technology is expected to increase the production and quality of pakang fish produced by the community of Kuala Geulumpang Village so that it can improve the community's economy.

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There is an early flood detection tool that has been successfully designed called the Early Flood Detection (EFDe) a system that uses the Internet of Things system which can be accessed by the users through a browser or an Android smartphone. In general, this tool has an accurate sensor response to the water level reading by the sensor. The time needed for the sensor to send data to the server is 10-15 seconds. The speed of this delivery time is influenced by several factors, including sensor response, server response, and the cellular network used. The EFDe system is equipped with an alarm around the location and has 10-15 second response when the indicator shows FLOOD POTENTIAL and will not stop until the signal changed to SAFE. This EFDe System is equipped with a solar panel and solar control charger and has an independent energy source that comes from the sun and stored in batteries. That is why the EFDe system is able to send information in real-time.

Tanah  merupakan bagian penting dalam suatu konstruksi seperti bangunan, jalan dan beban lalu lintas karena tanah mempunyai fungsi sebagai penyangga konstruksi. Dalam  perencanaan kontruksi dilakukan penyelidikan  terhadap  klasifikasi  tanah terutama  sifat-sifat  tanah  yang  mempengaruhi  daya dukung  tanah dalam menahan  suatu  beban konstruksi yang ada diatasnya. Serta pengaruh  ketahanan tanah terhadap likuifaksi, menggunakan suatu aplikasi arduino dengan suatu  prototype sebagai simulasi likuifaksi. untuk mengetahui tingkat ketahanan jenis tanah permukaan akibat gempa di Kota Langsa pada tanggal 3 Desember 2020. penelitian ini dilakukan dengan mengambil sampel tanah dari Desa Aramiyah  dengan  menggunakan metode ASSTHO (American Association of State Highway and Transport Officials). Dari hasil penelitian, diperoleh butiran halus pada sampel 1 yang tertampung didalam pan dengan berat tertahan = 36.109 gr, kumulatif tertahan = 100,00 gr dan nilai kumulatif (%) tertahan = 100,00 gr. sampel 2 yang tertampung didalam pan dengan berat tertahan = 36.711gr, kumulatif tertahan = 100,00 gr dan nilai kumulatif (%) tertahan = 100,00 gr. sampel 3 yang tertampung didalam pan dengan berat tertahan = 38.851 gr, kumulatif tertahan = 100,00 gr dan nilai kumulatif (%) tertahan = 100,00 gr. bahwa klasifikasi tanah yaitu berjenis tanah berlanau dan berlempung. dari pengujian tanah didapatkan nilai ketahanan sampel 1 dengan amplitudo 3.00 Cm, frekuensi getaran 195 Hz, dan dengan durasi getaran 27 detik, sampel 2 dengan amplitudo 3.00 Cm, frekuensi getaran 176 Hz, dan dengan durasi getaran 29 detik, sampel 3 dengan amplitudo 3.00 Cm, frekuensi getaran 84 Hz, dan dengan durasi getaran 32 detik, maka daerah tersebut berpotensi terhadap likuifaksi.

Geophysical studies have been conducted to see the distribution of temperature below the surface of geothermal areas. Temperature spread measurements are performed using temperature sensors designed with microcontrollers so that data can be read and sent to servers with an Internet of Things (IoT) approach to users. In this study, 13 electrodes were developed with a length of 1 m and each electrode consisted of two sensors with intervals between sensors of 0.5 m. The process of data collection is done by sounding and mapping, namely making a vertical array of temperature sensors, the next step is to place several electrodes scattered at the research site in a horizontal position, this aims to obtain horizontal temperature distribution. Based on the contour map of geothermal distribution below the surface, it was found that subsurface temperatures increased in the Northwest direction from the research site. The Northwest area of the research site is a hot spring so it can be indicated that the heat flow comes only from the springs.