The tool that detects human movement has been designed with a passive infrared sensor based on Arduino ESP32 which can send messages via SMS to the ship's security system. This is the background to the need to improve the security system on ships. The aim of this research is to find out the movement in the ship's engine room. This system can find movements. This tool can detect a maximum distance of 6 m. This system consists of software and hardware that allows sensors to detect human actions. The software uses the C+ language program and is used on the Arduino ESP32. Press the switch to activate this device. A message will be sent to the owner's smartphone if there is movement. Methods and tool system design for applied scientific work that will be carried out using prototype research methods. Prototype research methods are used to produce certain products, and test their effectiveness. The results of the research in this applied scientific work are the level of accuracy of the PIR sensor which detects human movement at a maximum distance of 6 meters and sim800L as a message sender to Android. Beyond that the data is unreadable and invalid.

The shipping industry is closely related to economic growth in various countries. This transportation is very dependent on export and import activities. As the country's economy improves, especially in Asia, the maritime transportation business in Indonesia will also develop. The pattern of sending goods via sea transportation has changed, especially in terms of bulk transportation. which demands modern technology such as automation and intelligent control systems. This research aims to design and develop Android-based spreader control using Arduino Mega 2560 on a floating ship. This project is designed to increase efficiency and ease of operation in the loading and unloading process on ships, which previously still used manual control with a remote control or joystick which had limitations such as limited visibility. In this research, the spreader control system is connected to an Arduino Mega 2560 microcontroller via the HC-05 Bluetooth module, allowing the operator to control the spreader via an Android device. Test results show that data is obtained at a distance of 1 to 13 meters, the Android-based spreader control system shows a response time ranging from 1 to 9 seconds, which shows that the system is functioning properly. At a distance of 14 to 19 meters, the response time increases to 18 seconds, indicating quite good system performance. This shows that there is quite significant latency in data transmission. However, the system still managed to carry out spreader control well. At 20 meters, the system failed to respond to the spreader control. This shows that the effective range of this Bluetooth module is below 15 meters. This research makes a significant contribution to the development of automatic control technology in the shipping industry, especially in the use of intelligent control systems integrated with mobile devices.

Jumlah sampah meningkat seiring dengan peningkatan jumlah penduduk dan aktivitas ekonomi. Kota Tarakan yang berada di Provinsi Kalimantan Utara hingga saat ini juga dihadapkan pada persoalan sampah dan upaya yang sudah dilakukan adalah menggalakkan program sampah semesta (Semua Mesti Terlibat) dengan melibatkan masyarakat melalui program 3R (Reduce, Reuse, Recycle). Pengabdian ini bertujuan untuk mengolah sampah organik menjadi pupuk organik bernilai jual. Metode yang digunakan dalam pengabdian ini adalah penyuluhan dan praktik lapangan, masyarakat diajak untuk memisahkan sampah organik dari sampah lainnya dan melakukan pengolahan dengan cara mengumpulkan, memisahkan dan mengolah sisa-sisa sampah tersebut menjadi kompos. Dilanjut dengan tanya jawab dan diakhiri dengan umpan balik menggunakan form untuk mengetahui tingkat penyerapan materi oleh masyarakat. Diharapkan melalui pengabdian masyarakat ini dapat terbentuk kesadaran dan kepedulian masyarakat terhadap kualitas lingkungan di sekitarnya.
 

KKN or Kuliah Kerja Nyata is mandatory program held by college. KKN Kolaboratif is program organized by the Jember Regency government with 18 college. The work program carried out by KKN Kolaboratif 236 is based on the problems that exist in the Tegalgede, such as the low level of public awareness in managing inorganic waste, the high level of use of inorganic waste, and the lack of digital UMKM marketing. That program aims to make the public aware of the separation of inorganic waste so that it can be recycled again and to help introduce and market UMKM products for Tegalgede digitally. The activities waste sorting competition also invited WCDI (World Clean Up Day Indonesia) and BSI (Bank Sampah Induk) to discuss determining the category of inorganic waste to be contested and related to the process of evaluating and transporting the results of the competition. The results were 14 RTs took part in the competition. Another  program, the creation of e-catalog in collaboration with 20 UMKM in Tegalgede to enter their data into the catalog. The implication of this community service activity is that it can help residents to understand more about inorganic waste and make easier to access UMKM.
 

The shipping industry faces challenges in reducing environmental impact and increasing operational efficiency. Among them are the expansion tanks on ship engines which play an important role in maintaining the pressure and water quality of the engine cooling system, which is still run manually on some ships. This can result in the risk of engine damage due to overheating or unstable pressure. Manual water filling that requires crew supervision can cause operational instability. This research designed a prototype of an automatic water filling system for expansion tanks, using microcontroller-based automation technology and an Internet of things system to make monitoring easier. This system aims to increase efficiency and reduce the risk of engine damage, thereby supporting the sustainability of ship operations in the future. In the trials that have been carried out, this tool is able to operate the expansion tank filling automatically and efficiently. The distance sensor used has high accuracy with a largest error of 1.6%, and an average error of 0.01%. Integration with the Internet of Things system can run well and reliably with 100% success and latency of 0.5 – 1 second. The system's overall success rate is 80%. So the system can be used in real working conditions

As an important means of sea transportation for the distribution of goods and human mobility between islands, ships require a reliable prime mover to avoid wear or damage, especially when overspeeding occurs which can result in fire. Therefore, a prototype was created that uses an IR Obstacle sensor to monitor the RPM speed of the rotating engine. By using Arduino Uno as a processor, this prototype is able to display the RPM value on the LCD and provide a signal in the form of a green light if the speed is below 4000 Rpm, as well as a red light and buzzer sound if overspeed occurs above 4000 Rpm, followed by the engine turning off after 15 seconds. Testing shows that this prototype has a high level of accuracy, with a difference between 0.08% to 2.73% and an average difference of 1.003%.