OMI Collection 4: establishing a 17-year long series of detrended L1b data

The Ozone Monitoring Instrument (OMI) was launched on July 15, 2004, with an expected mission lifetime of 5 years. After more than 17 years in orbit the instrument is still functioning satisfactorily, and in principle can continue doing so for many years more. In order to continue the datasets acquired by OMI and the Microwave Limb Sounder the mission was extended up to at least 2023. Actions have been taken to ensure the proper functioning of the OMI instrument operations, the data processing, and the calibration monitoring system until the eventual end of the mission. For the data processing a new level 0 to level 1b data processor was built based on the recent developments for Tropospheric Monitoring Instrument (TROPOMI). With corrections for the degradation of the instrument now included, it is feasible to generate a new data collection to supersede the current collection 3 data products. This paper describes the differences between the collection 3 and collection 4 data. It will be shown that the collection 4 L1b data is a clear improvement with respect to the previous collections. By correcting for the gentle optical and electronic aging that has occurred over the past 17 years, OMI's ability to make trend-quality ozone measurements has further improved.

SISTEM MONITORING KENAIKAN SUHU PADA TRANSFORMER BERBASIS IoT

Transformers play an important role in generating electrical energy so that in maintaining their performance this transformer has a lot of protection so that the transformer can work as much as possible. Many things can interfere with transformers, namely when the transformer is overheated, a short circuit occurs, or is struck by lightning causing the transformer to burn, so a system that can provide fast, and extensive information is needed and is handled automatically by monitoring the temperature of the main transformer using a smartphone connected to the internet network. In this study, 2 DS18B20 sensors were used which were equipped with a Manual Call Point (MCP) as input and an ESP32 microcontroller module in which there was a Wi-Fi module as a data processor, then the output data would be sent via the internet to the Internet Of Things (IoT) platform for display. In the form of values, graphs, and notifications. The measurement results are in the form of temperature units in C which will be displayed via a smartphone using the Blynk IoT platform in the form of numbers and graphs in real-time according to the value detected by the sensor. Tests on sensors resulted in an average error of 3.29% on the Low side and 3.01% on the Upside.

Pembuatan Westafel Otomatis dengan Memanfaatkan Kondensasi AC sebagai Sumber Air

The problem of Coronavirus disease (COVID-19) has not stopped. It was necessary to implement the Covid-19 protocol to avoid spreading, one of which is to wash hand regularly using and circulating water. Based on these reasons, it was still necessary to develop automatic hand washing equipment which is currently a primary need in public places, offices, and educational facilities. This study aims to modify the automatic sink using the Arduino Uno R3 microcontroller as a data processor and Ultrasonic HC-SR04 as a sensor; testing the function of the tool, namely automatic soap and water faucet, hand dryer, piezoelectric buzzer as an air level alarm, by utilizing the results of AC condensation as an water source. The results of this automatic sink modification can meet Covid-19 standards and can be used by all groups, especially schools and offices that have started to be active, so that with this tool it can reduce the spread of Covid-19. In addition, it is that the source of water from the condensation can be used as an alternative to water to save the current increasing use of PDAM water.

Application Layer Packet Processing Using PISA Switches

This paper investigates and proposes a solution for Protocol Independent Switch Architecture (PISA) to process application layer data, enabling the inspection of application content. PISA is a novel approach in networking where the switch does not run any embedded binary code but rather an interpreted code written in a domain-specific language. The main motivation behind this approach is that telecommunication operators do not want to be locked in by a vendor for any type of networking equipment, develop their own networking code in a hardware environment that is not governed by a single equipment manufacturer. This approach also eases the modeling of equipment in a simulation environment as all of the components of a hardware switch run the same compatible code in a software modeled switch. The novel techniques in this paper exploit the main functions of a programmable switch and combine the streaming data processor to create the desired effect from a telecommunication operator perspective to lower the costs and govern the network in a comprehensive manner. The results indicate that the proposed solution using PISA switches enables application visibility in an outstanding performance. This ability helps the operators to remove a fundamental gap between flexibility and scalability by making the best use of limited compute resources in application identification and the response to them. The experimental study indicates that, without any optimization, the proposed solution increases the performance of application identification systems 5.5 to 47.0 times. This study promises that DPI, NGFW (Next-Generation Firewall), and such application layer systems which have quite high costs per unit traffic volume and could not scale to a Tbps level, can be combined with PISA to overcome the cost and scalability issues.

Faktor-faktor yang Mempengaruhi Minat Berinvestasi Saham Syariah

The purpose of this research to analyze the effect of financial literacy, risk, investment psychology, and social media on the investment interest of the people of Jakarta in Islamic stocks. The sample used in this study uses one hundred people who will represent the entire population. Data collection in this study was carried out using a questionnaire distributed by the purposive sampling technique. The statistical methods used are descriptive statistical analysis, classical assumptions, multiple linear regression, validity and reliability, and hypotheses using SPSS Statistics 23 application as a data processor. The results of this study are the influence of the independent variables simultaneously on the interest in investing in Islamic stocks. However, in a partial test, only financial literacy, risk, and investment psychology factors have a significant influence on interest in investing in Islamic stocks, while social media factors do not have a significant influence on interest in investing in Islamic stocks.Tujuan penelitian ini untuk menganalisis pengaruh literasi keuangan, risiko, psikologi investasi, dan media sosial terhadap minat berinvestasi masyarakat Jakarta pada saham syariah. Sampel yang digunakan berjumlah seratus orang yang mewakili seluruh populasi. Pengumpulan data penelitian dilakukan dengan menggunakan kuesioner yang disebar dengan teknik purposive sampling. Metode statistik yang digunakan adalah analisis statistik deskriptif, asumsi klasik, regresi linier berganda, validitas dan reliabilitas, serta hipotesis dengan menggunakan alat bantu berupa aplikasi SPSS Statistics 23 sebagai pengolah data. Hasil penelitian menunjukkan adanya pengaruh variabel bebas secara bersamaan terhadap minat berinvestasi saham syariah. Akan tetapi pada pengujian secara parsial, hanya faktor literasi keuangan, risiko, dan psikologi investasi yang memiliki pengaruh signifikan terhadap minat berinvestasi saham syariah, sedangkan faktor media sosial tidak memiliki pengaruh yang signifikan terhadap minat berinvestasi saham syariah.

Pengaruh produk domestik regional bruto sektor pertanian, upah minimum provinsi dan investasi terhadap penyerapan tenaga kerja pada sektor pertanian Kabupaten Batanghari

In this research, the primary purpose is to know and analyze the impact of gross domestic, regional products in the agriculture sector, local minimum salary, and investing toward employment in the agriculture sector in Batanghari District. This research was carried out in Batanghari District, Jambi Province, using secondary data for 19 years since 2000-2018, Sourced from Badan Pusat Statistik (BPS). The data analysis model is econometric using multiple regression analysis methods using SPSS version 22 as the research data processor. According to the estimation result, it was found partially, PDRB agriculture sector has a positive impact and is significant toward employment in the agriculture sector in Batanghari District. At the same time, local minimum salary variables and investment do not positively impact a career in Batanghari District. Keywords: Employment, PRDB in the agriculture sector, provincial minimum salary, investment

Utilization of Produced Heat in Motorcycle Exhaust as a Mobile Battery Charger Using Thermoelectric Seebeck Generator

Produced heat from motorcycle exhaust has been used to recharge cellphone batteries using a thermoelectric seebeck generator and program settings from the Arduino microcontroller. This tool consists of an LM 35 sensor that functions as a temperature reader, TEG as a heat converter to voltage, DC to DC Booster as a voltage controller, Arduino Uno as a data processor, LCD as a display. The software in this tool uses the Arduino IDE program. This tool is used to convert heat into voltage. The working principle of this system in general is that when the exhaust heat is removed, the controller will read the data from the LM 35 temperature sensor. After that the data will be processed by the microcontroller. After obtaining the processed data, the result data is then displayed on the LCD and the relay circuit will activate the system when the required voltage is appropriate

Temperature and humidity data acquisition design based on microcontroller ATMEGA8

The need for fast and accurate information is urgently needed to support human performance in various areas, including in the field of meteorology. Information about the weather parameters such as temperature and relative humidity on certain areas need to know quickly and accurately. For example the recording of temperature and humidity of a city, the mountains, or in disaster areas, it will definitely be easier if can be recorded automatically and continuously in a certain time. Therefore it needs a tool that can find out the weather parameters such as temperature and relative humidity on a certain position continuously and automatically. In this case the system can use data acquisition and data logger. System design used in this study consisted of DHT11 temperature and humidity sensor with digital output that is already terkalibrasi, microcontroller ATmega8 as the data processor of the DHT11 and the results will be displayed in the LCD. the display on the LCD always updated every 3 seconds. The results showed that "Temperature And Humidity Data Acquisition Design Based On Microcontroller ATmega8" Media has successfully created according to the specifications of the tool are expected.

Sistem Integrasi BOT Register Terhadap Website Pengolah Data Menggunakan Akses NGROK

This information system is based on a website that functions as a data processor obtained from the bot register. The integration of the system uses NGROK access which can unify local public access routes or in one go. The use of XAMPP as a web server can support the use of NGROK. NGROK server has a time duration in one use, which is about 8 hours. Users will get a domain URL when accessing NGROK. This domain URL is so unique that each session will change. The case study we are using leads to the registration system for new members of the East Java Veteran UPN robotics community, which so far still uses Google Form as a means of registering and spreadsheets as data storage media. The need for an innovation which can simplify work, especially during the Covid-19 period, therefore we created an innovation in the form of a bot register that can integrate with the website through NGROK access combined with the MySQL Local Database so that this software is expected to provide access registration directly without having to fear data loss and can also provide secure data management.

EasyIDP: A Python Package for Intermediate Data Processing in UAV-Based Plant Phenotyping

Unmanned aerial vehicle (UAV) and structure from motion (SfM) photogrammetry techniques are widely used for field-based, high-throughput plant phenotyping nowadays, but some of the intermediate processes throughout the workflow remain manual. For example, geographic information system (GIS) software is used to manually assess the 2D/3D field reconstruction quality and cropping region of interests (ROIs) from the whole field. In addition, extracting phenotypic traits from raw UAV images is more competitive than directly from the digital orthomosaic (DOM). Currently, no easy-to-use tools are available to implement previous tasks for commonly used commercial SfM software, such as Pix4D and Agisoft Metashape. Hence, an open source software package called easy intermediate data processor (EasyIDP; MIT license) was developed to decrease the workload in intermediate data processing mentioned above. The functions of the proposed package include 1) an ROI cropping module, assisting in reconstruction quality assessment and cropping ROIs from the whole field, and 2) an ROI reversing module, projecting ROIs to relative raw images. The result showed that both cropping and reversing modules work as expected. Moreover, the effects of ROI height selection and reversed ROI position on raw images to reverse calculation were discussed. This tool shows great potential for decreasing workload in data annotation for machine learning applications.