The study of Design of Earthquake Early Warning System for Real Time Using Geomagnetism and Total Electron Content with Fuzzy Logic through competitive grants scheme has obtained the prototype of the earthquake early warning system. However, it still needs improvements on in the calibration of thesensor system especially for MAG3110 sensor and DHT11 sensor. This calibration was done by adjusting the sensor system to the existing measuring devices standards in the Physics Department laboratory of the Sains Faculty Lampung University, to obtain measurement accuracyand to get a good result about where and when the earthquake would occurand how strong the earthquake would be. The calibration of MAG3110 sensor and DHT11 sensor obtained the standard correction results, the standard deviation of MAG3110 from 3 axes, namely x axis was 8.5, y axis was 2.66, and z axis was 1.9, whereas the standard deviation for DH11 sensor was 0.1161.

Increasing food needs and climate instability require researchers to innovate agriculture using smart greenhouses that are integrated with the Internet of Things (IoT). The Systematic Literature Review (SLR) begins with determining the topic keywords followed by searching the publisher link. It obtains 301 publications to be reviewed, 58 of which address the research questions posed. This study aims to collect and analyze in depth various knowledge about the Internet of Things Smart Greenhouse regarding sensors, methods used and publishers who publish the most related topics and the possibility of a research gap. The findings are as many as 12 publications that use temperature and humidity sensors and use the research and development methods integrated with Artificial intelligence methods, of which 62.1% do not use the datasets and 37.9% use the datasets. It obtains two possibilities of a research gap, namely improvising the algorithm and the dataset used and placing full control on the microcontroller development board and making IoT a supporting tool.

The earthquake early warning system was built by implementing the IoT-based telemetry method to measure the earth's magnetic flux and vibrations at the latitude coordinates and longitude coordinates (-5.640274, 104.3050093), (-5.600941, 104.7788183) through the MAG3110 and ADXL345 sensors that were integrated in the raspberry pi3 as a server and applications on Android phones used for measurement data display. The result of the measurement data was that the average impact of the arising earth anomaly and vibration at the same coordinates took 400 seconds in the anomaly range of 395 μT to 404 μT. The conclusion of this study was that the study was able to be used as a basic to design the real-time earthquake warning system.

Kompetisi Sains Nasional (KSN) atau Olimpiade Sains Nasional (OSN) adalah kegiatan rutin yang diikuti oleh sebagian siswa-siswi baik dari jenjang SD, SMP dan SMA seluruh Indonesia dalam berbagai bidang. Peningkatan kompetensi siswa dilakukan dengan mengadakan pelatihan khusus di bidang informatika algoritma pemrograman di SMAN 1 Metro, Lampung. Pelatihan dilakukan dengan pendekatan Problem Based Learning dan menghasilkan peningkatan kemampuan siswa dalam pemahaman dan keterampilan algoritma dan pemrograman kemudian siap untuk mengikuti kegiatan OSN tingkat provinsi Lampung.

Perkembangan Usaha Mikro Kecil dan Menengah (UMKM) di Indonesia semakin baik pada bidang usaha kuliner, fashion, pendidikan dan produk kreatif. Namun ditengah peningkatan tersebut masih terdapat kendala salah satunya adalah sumber daya manusia selaku pengelola UMKM yang perlu dilakukan peningkatan dalam bidang pemanfaatan akses teknologi media sosial whatsapp dan marketplace facebook. Metode yang diterapkan yakni dengan mengambil data kebutuhan UMKM secara interview dan dilakukan pelatihan mengenai pemanfaatan media sosial. Dari hasil pelatihan dan penerapan yang telah dilakukan diperoleh peningkatan nilai penjualan produk UMKM 10 sampai 15 produk setiap bulanya.