The idea of the Internet of Things (IoT) is utilized to increase the advantages of internet connectivity. As long as the electrical device is still connected to the internet, IoT can be utilized to ...operate it. This study applies the concept of IoT as a fan control and monitoring of the humidity and room temperature through a mobile-based application, so that the room can be controlled remotely using a smartphone before use. It is necessary to always keep the room comfortable to use, so that users can increase productivity and always avoid potential disease attacks when the temperature is unstable. In addition, the IoT concept also makes it easier to turn off the fan if at any time you forget to turn it off. This fan is integrated with the ESP32 microcontroller which has been equipped with a Wireless Fidelity (WiFi) module to access data changes in the Firebase Realtime Database. Room temperature and humidity are measured with a DHT22 sensor and processed using Tsukomto's Fuzzy Inference System to produce the appropriate fan speed in the Duty Cycle unit. Tools and applications can work as predicted based on the findings of the research conducted. However, the impact of the fan on a closed room cannot cool the room temperature but the room temperature moves up with a change of 0.3 °C to 0.5 °C within 40-75 minutes. Therefore, in the next study it is recommended to use cooling devices such as Exhaust fans or Air Conditioners.
The use of hybrid energy storage systems (HESS) in renewable energy sources (RES) of photovoltaic (PV) power generation provides many advantages. These include increased balance between generation ...and demand, improvement in power quality, flattening PV intermittence, frequency, and voltage regulation in Microgrid (MG) operation. Ideally, HESS has one storage is dedicated for high energy storage (HES) and another storage for high power storage (HPS) purpose. HES is used to fulfill long-term energy demand, while HPS is used to handle power transients and fast load fluctuations. This paper examines HESS comprehensively for PV power generation and focuses on its ability to combine two storage technologies. The two storage technologies include high energy and high power. This paper also analyzes the important aspects of advance HESS in PV power generation in the context of capacity sizing, power converter topology and strategies management energy. Several capacity sizing methods were critically reviewed and tabulated. Power converter (PC) topologies are classified and briefly discussed regarding their advantages and disadvantages. Furthermore, energy management strategies with various control techniques are critically classified and evaluated for better future direction. In addition, the implementation of HESS on PV power generation in current real projects is presented and evaluated. Finally, this paper can be considered as useful guide for the use of HESS in PV power generation including features, limitations, and real applications.
As evidenced in the trial, between 2015 and the second quarter of 2022, there were 54 cases involving secure digital high capacity (SDHC) storage hardware as evidenced in trials. In 2021 there will ...be an increase in cases involving SDHC. The three cases with the highest number are corruption cases, special crimes, and ITE. SDHC is an advanced technology development of Secure Digital (SD) card hardware which functions as storage. SD Card only has a capacity of up to 2 gigabytes, while the largest SDHC capacity is 32 gigabytes. As a storage device that is small, thin, and has a fairly large capacity. this research needs to be done because of the increasingly widespread increase in cases involving SDHC. This study aims to perform digital forensic analysis on SDHC evidence using forensic applications that run on Linux, namely foremost and DC3DD. This study uses the DFRWS method to retrieve valid evidence in court. Based on the research conducted, it was found that the number of files that can be restored at the examination stage using foremost is 77%, and the accuracy of recovered files is 50% with string file hash validation. From this research, it can be concluded that the processing results of DC3DD and Foremost can be used as valid evidence.
Rice or Oryza sativa L. is the staple food of Indonesian society. Currently, the demand for rice in Indonesia is increasing, while the level of rice production is decreasing. Therefore, alternative ...technologies are needed to assist the community in increasing rice production. One of the important factors in the growth of rice is the quality of the soil that contains high levels of nitrogen for photosynthesis, protein formation, acid formation, and accelerating plant growth. This research was applied for soil nitrogen mapping with a smart prototype using the TCS3200 sensor combined with Naive Bayes algorithm and GIS (Geographical information systems). This system is carried through the Wemos D1 Mini microcontroller of TCS3200 sensor for reading data and sending the data to the web ceerduad.com. Geographical information systems (GIS) was developed to mapping area and to obtain training data for the Naïve Bayes Algorithm which the researcher took 20 soil samples in Lendah sub-district. From the experiment results, a prototype of soil nitrogen content using the TCS3200 sensor can measure soil nitrogen levels with an accuracy of 87.5% and sending the sensor data to the web server. Implementation of GIS in this research was successfully mapping low, medium, and high levels of nitrogen.
•This work presents to measure soil nitrogen by using the TCS3200 sensor with the Naïve Bayes algorithm.•Geographical Information Systems (GIS-based) was to mapping area.•TCS32000 sensor was successfully mapping the low, medium, and high level of nitrogen.•The accuracy of the sensor is 87.5%.
Indonesia is one of the countries that is currently entering the political year for the election of President, Regional Heads, and Members of the Legislative in 2024. This has become a hot topic on ...social media, especially about the Presidential Election. Twitter is one of the platforms with the largest users in Indonesia. It is interesting to see the alignment of Twitter users towards presidential candidates who already have a carrying party, namely Ganjar Pranowo, Prabowo Subianto, and Anies Baswedan based on a sentiment analysis approach. User feedback data about Indonesian Presidential candidates are obtained from the Twitter platform using Twitter API with Python programming language. The data obtained was 30,000 data with each candidate as many as 10,000 data. Data is pulled in April 2023 with specific keywords. The time for data withdrawal is chosen based on the announcement of Presidential Candidates carried by political parties before the schedule for determining or campaigning for Presidential candidates. Current data can potentially be used again as a comparison of analysis of presidential candidates on campaign time spans and after campaigns or actual calculation results. The data that can be accessed is in CSV format and has gone through several stages such as labelling using Language experts, removing spam Tweets & empty cells and preprocessing.
Dry season is a season where the room temperature exceeds the needs of the body so that it is unpleasant, unhealthy and can interfere with human productivity. In addition, the efficiency of use and ...resource requirements are also a concern for some people. To overcome this problem, an automatic room temperature control device was created using the ESP32 microcontroller with Tsukamoto's fuzzy algorithm optimization as a data processing technique to produce optimal fan speeds in duty cycle units based on temperature and humidity conditions in realtime. Four tests by running a fan for 30 minutes on each showed that the average difference between the maximum and minimum temperatures in the room was 0.95°C, while the average difference between maximum and minimum humidity was 2.0%. In addition, the test graph shows that when the fan is rotated in a closed room without air circulation, the relative temperature change increases from the initial minute to the last minute of the test. Meanwhile, changes in relative humidity decrease, although fluctuations increase within 1-4 minutes. This study found that fans are not effective in lowering room temperature optimally. Therefore, it is recommended to replace with an exhaust fan in future research.
Pengelolaan sumber daya Teknologi Informasi yang baik efektif, efisien, dan terkendali menghasilkan value bagi sebuah institusi. Upaya untuk mendukung proses manajemen mengembangakan AIS sebagai alat ...untuk mengevaluasi arah kebijakan, kebutuhan fungsional, dan risiko belum diterapkan secara sempurna. Penelitian ini merupakan audit disertai analisis sistematis untuk mengukur tingkat kematangan sistem Academic Information System (AIS) di STIKES Guna Bangsa Yogyakarta menggunakan framework COBIT 2019. Fokus penelitian adalah pada tata kelola proyek pengembangan AIS yaitu pada proses pengelolaan sumber daya (EDM04) dan inovasi terkelola (APO04). Luaran yang diharapkan adalah sebuah rekomendasi untuk memaksimalkan proses pengembangan sistem menggunakan metode bertahap, yaitu observasi, data collection, data validation, dan identifikasi data maturity level. Audit dan analisis yang dilakukan penelitian ini menemukan tata kelola dalam pengembangan AIS kondisi saat ini berada pada maturity level 2 (managed process) dengan nilai EDM04 = 2,29 dan APO04 = 2,25. Artinya proses sudah dilakukan, tetapi hanya sekedar dilakukan sehingga kurang mencapai tujuan yang diharapkan. Hal ini ditandai dengan ada proses yang tidak lengkap dan tidak terorganisasi dengan baik. Untuk menuju maturity level yang maksimal yaitu level 5, penelitian ini merekomendasikan pengelola untuk melengkapi SOP yang akan dijadikan rujukan dan juga memperbaharui dokumen-dokumen sehingga mengikuti sistem yang dikembangkan sesuai teknologi terkini. Sebagai catatan tambahan lingkungan kerja yang kondusif perlu diciptakan guna mencapai inovasi yang maksimal sesuai dengan sumber daya yang dimiliki. AbstractGood management of Information Technology resources is effective, efficient, and controlled to produce value for an institution. Efforts to support the management process to develop AIS as a tool to evaluate policy directions, functional requirements, and risks have not been implemented perfectly. This research is an audit accompanied by a systematic analysis to measure the maturity level of the Academic Information System (AIS) system at STIKES Guna Bangsa Yogyakarta using the COBIT 2019 framework. The focus of the research is on the governance of the AIS development project, namely the resource management process (EDM04) and managed innovation ( APO04). The expected output is a recommendation to maximize the system development process using a gradual method, namely observation, data collection, data validation, and identification of maturity level data. The audit and analysis conducted in this study found that governance in the development of AIS is currently at maturity level 2 (managed process) with a value of EDM04 = 2.29 and APO04 = 2.25. This means that the process has been carried out, but only done so that it does not achieve the expected goals. It is characterized by incomplete and poorly organized processes. To reach the maximum maturity level, namely level 5, this study recommends managers complete SOPs that will be used as references and also update documents so that they follow the system developed according to the latest technology. As an additional note, a conducive work environment needs to be created to achieve maximum innovation following the available resources.
Brain tumor is one of the most fatal diseases that can afflict anyone regardless of gender or age necessitating prompt and accurate treatment as well as early discovery of symptoms. Brain tumors can ...be identified using Magnetic Resonance Imaging (MRI) to detect abnormal tissue or cell development in the brain and surrounding the brain. Biopsy is another option, but it takes approximately 10 to 15 days after the inspection, so technology is required to classify the image. The goal of this study is to conduct a comparative analysis of the greatest accuracy value attained while classifying using segmentation with thresholding versus segmentation without thresholding on the CNN method. Images are assigned threshold values of 150, 100, and 50. The dataset consists of 7023 MRI scans of four types of brain tumors: glioma, notumor, meningioma, and pituitary. Without utilising thresholding segmentation, the classification yielded the highest degree of accuracy, 92%. At the threshold of 100, classification by segmentation received the highest score of 88%. This demonstrates that thresholding segmentation during CNN model preprocessing is less effective for brain image classification
Mutiara Mahakam Samarinda Institute of Health Sciences (STIKES-MM Samarinda) has a system for monitoring and evaluating the performance of lecturers or education staff. This system measures ...performance achievements in terms of teaching, research, and community service. . Nevertheless, since every segment of the system is not yet fully computerized, this then raises several obstacles in the process of monitoring and evaluating the performance, length of time to obtain the final assessment results and the low accuracy level of the assessment. This study aims to seeks solutions to these obstacles and offers an educator performance monitoring system that combines the Behaviorally Anchor Rating Scale (BARS) and Management by Objectives (MBO) methods to be assessed quantitatively based on the rating scores in measuring the two methods. The BARS method was focused on evaluating behaviour that would affect overall performance with an average score of 4.14%, while the MBO method was focused on evaluating according to Tri Dharma of higher education, namely teaching, research and community service. The assessment system was then implemented to evaluate the performance of lecturers and education staff. Subsequently, the data obtained were analyzed to get the final result of the assessment. In particular for data from the MBO method, the analysis was carried out using step with and without KRA. This exploratory research succeeded in presenting the final results of the performance assessment of each lecturer who was assessed for both the value of the BARS and MBO methods. Data analysis from the MBO method , when calculated with and without KRA and KRA, showed some significant differences in MBO. For all lecturers, the difference in scores, if the average was 3.48%, then this assessment was more inclined to the BARS assessment, which had a better rating than MBO.
Currently, the academic information system (AIS) at universities processes academic data to facilitate student’s activities. AIS was developed to provide maximum service to students. To optimize the ...use of information technology and to ensure the appropriateness of the provided AIS services, it is necessary to examine the level of service provided to improve quality. This study aimed to analyze the level of AIS service quality based on user perceptions and expectations. Dissemination of online questionnaires using Google Forms with a total of 100 students as respondents. This study used the modified Webqual 4.0 method as an indicator in the preparation of the questionnaire and the importance-performance analysis (IPA) method as an analysis method. The results of data were classified based on the percentage of user’s satisfaction with AIS services with three classifications, namely good, moderate, and poor. The results of the IPA analysis showed that the AIS had good quality. The results obtained from the analysis of the quality of the AIS system had a conformity level of 90.90%, where respondents perceived close to satisfaction with AIS services. The gap level was -0.3281 which was the result of the perception/performance of the AIS that was not in line with the expectations of the user. The results of this study contribute to Universitas Muhammadiyah Gombong as reference material and evaluation of AIS system services in the future.
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