DESIGN OF AN INVENTORY INFORMATION SYSTEM FOR LABORATORY SUPPLIES

Data is inaccurate because it does not have a relevant data repository, data can be lost or damaged, inefficient data search and technicians cannot know for sure the amount of stock available. Based on some of the research above, the inventory information system for Laboratory goods in the Information Technology Study Program will be designed and built based on a website using the Laravel framework. The system development method used is the Incremental model. Incremental models are the result of a combination of elements from the waterfall model that are applied repeatedly, or it can be called a combination of the waterfall model and the Prototype Model. During testing, many errors were found in the system. Testing was carried out 4 times with a total of 164 test cases. In the first test, 98 bugs were found which were then reported to the programmer to be fixed. In the second test, 40 errors were found, in the third test, 19 errors were found, and in the last test conducted by the examiner, 0 bugs were found. The design of the Laboratory Goods Inventory Information System (SIMBA) begins with analyzing the weaknesses of the old system using the PIECES method. Then proceed with conducting a system requirements analysis and system feasibility analysis. After the analysis phase, it is continued with the design stage which begins with the UML design method

Analisis Perbandingan Tingkat Stress Mahasiswa Saintek dan Soshum dalam Pembelajaran Daring pada Masa Pandemi Covid-19 Berbasis Internet of Things

The spread of COVID-19 has occurred in 2019, which has had an enormous impact on the world's population. The continuous spread of COVID-19 has caused several countries to reduce the transmission of COVID-19, one of which is implementing online learning at schools and universities. The impact that occurs on students due to home study policies makes some students feel anxious and depressed. There are two study groups at the University of Lambung Mangkurat, namely the Social Humanities (Soshum) and Science and Technology (Saintek). The student who majored in science, technology, and social science has a different way of finding the information needed and understanding every material available online. This problem is due to cultural differences in the applied learning system. These differences certainly cause different stress levels for each student majoring in science, technology, and social sciences. Therefore, this study was conducted to determine the difference in stress levels experienced by Lambung Mangkurat University students in science, technology, and social media while online. This study uses two stages to compare the results of student stress levels, including filling out the DASS42 questionnaire and direct testing with 3 IoT sensors, namely GSR, body temperature (GY-906 MLX90614 Infrared Temperature Sensor), and pulse rate (MAX30102 Pulse Oximeter & Heart-Rate Sensor). The application of the Fuzzy Logic method is used as a parameter measurement when measuring IoT-based stress levels

Analisis Perbandingan Tingkat Stress Mahasiswa Saintek dan Soshum dalam Pembelajaran Daring pada Masa Pandemi Covid-19 Berbasis Internet Of Things

The spread of COVID-19 has occurred in 2019, which has had an enormous impact on the world's population. The continuous spread of COVID-19 has caused several countries to reduce the transmission of COVID-19, one of which is implementing online learning at schools and universities. The impact that occurs on students due to home study policies makes some students feel anxious and depressed. There are two study groups at the University of Lambung Mangkurat, namely the Social Humanities (Soshum) and Science and Technology (Saintek). The student who majored in science, technology, and social science has a different way of finding the information needed and understanding every material available online. This problem is due to cultural differences in the applied learning system. These differences certainly cause different stress levels for each student majoring in science, technology, and social sciences. Therefore, this study was conducted to determine the difference in stress levels experienced by Lambung Mangkurat University students in science, technology, and social media while online. This study uses two stages to compare the results of student stress levels, including filling out the DASS42 questionnaire and direct testing with 3 IoT sensors, namely GSR, body temperature (GY-906 MLX90614 Infrared Temperature Sensor), and pulse rate (MAX30102 Pulse Oximeter & Heart-Rate Sensor). The application of the Fuzzy Logic method is used as a parameter measurement when measuring IoT-based stress levels