The Covid-19 pandemic since 2020 has had a negative impact on the aviation industry in the world, including Indonesia. Flight operations are not proceeding as previously planned. Various kinds of restrictions on air travel both domestically and internationally resulted in a decrease in the number of travel by air. This situation encourages aviation industry players to strategize to face pressure and try to bounce back from the slump. As one of the manifestations of community service, the Indonesian Aviation Polytechnic Curug (PPI Curug) as an aviation university in collaboration with PT Angkasa Pura II as one of the airport managers in Indonesia carries out education and training activities (training) airport management. Training is given to aviation personnel under PT Angkasa Pura II with material on Airport Services. After studying the side of service services and revenue potential at the airport, training participants were able to increase airport insights and were able to develop alternatives to maximize services. By increasing this capability, aviation personnel can increase their role in the work environment to be involved in the preparation of strategies for restoring airport management during and after the Covid-19 pandemic. Pandemik Covid-19 sejak tahun 2020 membawa dampak negatif terhadap industri penerbangan di dunia termasuk Indonesia. Operasional penerbangan berjalan tidak sesuai yang direncanakan sebelumnya. Berbagai macam pembatasan perjalanan udara baik domestik maupun internasional berakibat pada turunnya jumlah perjalanan melalui udara. Situasi ini mendorong pelaku industri penerbangan untuk menyusun strategi menghadapi tekanan dan berusaha kembali bangkit dari keterpurukan. Sebagai salah satu perwujudan pengabdian kepada masyarakat, Politeknik Penerbangan Indonesia Curug (PPI Curug) sebagai perguruan tinggi penerbangan berkerjasama dengan PT Angkasa Pura II sebagai salah satu pengelola bandar udara di Indonesia melaksanakan kegiatan pendidikan dan pelatihan (diklat) Manajemen Bandar Udara. Diklat diberikan kepada personil penerbangan dibawah PT Angkasa Pura II dengan materi Pelayanan Jasa Bandar Udara. Setelah mempelajari sisi-sisi pelayanan jasa dan potensi pendapatan yang ada di bandara udara, peserta diklat mampu meningkatkan wawasan kebandarudaraan dan mampu mengembangkan alternatif untuk memaksimalkan pelayanan. Dengan peningkatan kemampuan ini, personil penerbangan dapat meningkatkan peran di lingkungan kerja untuk terlibat dalam penyusunan strategi pemulihan pengelolaan bandara udara di masa maupun pasca pandemik Covid-19.

Penelitian ini bertujuan untuk menguji pengaruh Ukuran Perusahaan, Kebijakan Hutang, dan Profitabilitas terhadap Nilai Perusahaan pada Perusahaan Properti yang terdaftar di Bursa Efek Indonesia periode 2016-2020. Populasi dalam penelitian ini adalah sektor Perdagangan yang terdaftar di BEI. Teknik pemilihan sampel yang digunakan yaitu purposive sampling dengan beberapa kriteria yang telah ditentukan maka  data sampel yang diperoleh 18 perusahaan dengan periode 2016-2020. Metode analisis data yang digunakan yaitu SPSS versi 25 dengan teknik analisis data yang digunakan adalah uji asumsi klasik multikolinieritas heteroskedastisitas, uji normalitas, uji koefisien korelasi dan determinasi, uji simultan dan uji parsial. Hasil penelitian menunjukkan bahwa ukuran perusahaan berpengaruh negatif signifikan terhadap nilai perusahaan, kebijakan hutang berpengaruh negatif signifikan terhadap nilai perusahaan, dan profitabilitas berpengaruh positif terhadap nilai perusahaan.

Cargo is the goods transported by ship, aircraft or other types of transportation. Cargo is divided into three types of transportation, namely, air, land and sea. Cargo service is a special service for transporting goods using aircraft. This service can be organized by a regular airline that serves passengers, but can also be carried out by a specialized airline freight company. With the development of industrial automation technology, robots are needed to help meet their needs quickly. With this developed robotics technology to help alleviate human work in the future. Goods delivery robot is a robot created to help work in delivering goods to aircraft cargo. This robot can stuff automatically. This goods transfer robot uses the Internet of Things method that is already connected to a smartphone remote control based on an android application. Writing program code using Arduino IDE 1.8.9 and using Android as a robot control. This robot uses 4 channel line tracker sensors, 2 DC motors and motor drivers as controllers, Arduino uno as the brain in this robot system. The results of this study produce a prototype robot that can deliver goods into aircraft cargo in airports.

Sistem kelistrikan pembangkit serta pusat- pusat beban pada biasanya terpisah dalam ratusan apalagi ribuan km, sehingga tenaga listrik yang dibangkitkan wajib disalurkan lewat penghantar jaringan transmisi. Sumber tenaga listrik meliputi 3 tahapan semacam sistem pembangkit, jaringan transmisi serta distribusi, sehingga memunculkan kendala dalam proses penyaluran tenaga listrik. Salah satu kendala diakibatkan oleh aspek rugi- rugi energi akibat jarak antar pusat pembangkit dengan pusat beban yang jauh. Pengaruh dari rugi- rugi energi ini menimbulkan hilangnya energi yang besar. Analisis buat memperoleh nilai rugi- rugi energi di jaringan transmisi 150 kV periset merancangan sistem aliran energi dengan memakai aplikasi ETAP 12. 6. Tata cara yang digunakan periset ialah mengambil informasi tegangan serta arus secara terus menerus sepanjang satu setiap hari penuh dikala terbentuknya beban puncak, pada jam 17. 00 serta jam 21. 00 Wib. Beban puncak rugi- rugi energi paling tinggi terjalin malam hari ialah pada 30 desember 2017 sebesar 0, 84 MW pada pembebanan 15% yang terjalin di GI langsa ke GI panton labu. Sebaliknya pada pembebanan 50% rugi– rugi energi sangat besar sebesar 0, 9452 MW terjalin pada GI langsa ke GI tualang cut. Beban puncak rugi- rugi energi paling tinggi terjalin sore hari serta malam hari pada 30 desember 2017 sebesar 1. 148 MW terjalin pada GI langsa ke GI pangkalan Brandan. Sebaliknya rugi- rugi energi terendah 0, 635 MW terjalin di GI langsa ke GI tualang cut. The power generation system and load centers are usually separated by hundreds or even thousands of kilometer, so the electricity generated must be distributed through the transmission network conductor. The source of electricity includes 3 stages such as the generation system, transmission and distribution network, thus creating obstacles in the process of distributing electricity. One of the obstacles is caused by the aspect of energy losses due to the distance between the generating center and the far load center. The effect of these energy losses results in a large energy loss. Analysis to obtain the value of energy losses in a 150 kV transmission network, researchers design an energy flow system using the ETAP 12 application. 6. The method used by researchers is to take voltage and current information continuously for one full day when peak loads are formed, at 17: 00 and at 21. 00 Wib. The peak load of the highest energy losses occurred at night was on December 30, 2017 of 0. 84 MW at a 15% load that occurred in the Langsa to the Panton Labu substation. On the other hand, at 50% loading, very large energy losses of 0. 9452 MW are intertwined from the Langsa substation to the tualang cut substation. The peak load of energy losses was highest in the afternoon and evening on December 30, 2017 of 1, 148 MW at the Langsa substation to the Pangkalan Brandan substation. On the other hand, the lowest energy losses of 0. 635 MW are intertwined in the Langsa substation to the tualang cut substation.

This research aims to analyze the importance of scientific work skills in aviation vocational education in Indonesia using the Rasch Model. This research applies a mixed research methodology. The data collection tool in this study used reasoned test questions to uncover the argument skills of aviation vocational education cadets in Indonesia. The population taken in this study is aviation vocational education cadets in Indonesia. Sampling using purposive sampling techniques. The results of the analysis of reasoned question-answer analysis data entered with questionnaires are processed using the Winstep and Rasch Model applications. Analysis of cadet argumentation data is obtained at level 2 of 4 maximum levels. Argument skills at level 2 mean claiming with data. The results of deepening the scientific arguments of cadets obtained an alpha Cronbach value of 0.96 which belongs to a special category. The conclusion of Rasch model research applied to vocational education obtained cadet's argument skills on the plurality of claims with data.