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Milk consumption and the need for beef cattle for food purposes or sacrificial purposes continue to increase from year to year. This increase is in line with the increasing level of the economy and awareness of the need for nutritious food. However, the increase in demand still faces many production constraints due to the difficulties faced by farmers, the decline in cattle production from year to year in Indonesia. This causes Indonesia to have to import beef for 35.95% of the total national beef consumption. With many factors that affect the decline in the production rate of dairy cows or beef cattle every year, one of them is air pollution and poor air quality in cages. Along with the development of technology, a monitoring and detection system for air cleanliness in cattle pens was created, using the MQ-7 sensor as the concentration of carbon monoxide, the MQ-135 sensor as the concentration of ammonia gas, the MQ-2 sensor as the smoke detection, and When the air pollution value of each sensor input is according to the air pollution standard index (ISPU), the outputs namely indicator lights, buzzers and blowers will be on, then there will be temporary air neutralization in the cage. This tool is made easier by internet of things technology, so that it can send notifications via telegram and can see the level of air pollution levels through the web.

  Utilization of new renewable energy is a solution to meet the increasing electricity demand, one of which is solar power generation technology. Solar panels are a renewable power generator that is environmentally friendly. The relatively low and unstable output voltage of PV is affected by solar irradiation, which becomes a constraint. Therefore, by utilizing a boost converter, the solar panel system is able to work 25% more optimally compared to without using a boost converter. The performance of solar panels when using a boost converter is around 83.3% and without using it, the performance is only about 58.3%. The average output power when using the boost converter is 1,521 W, whereas without using the boost converter, the average output power is 1,172 W. This indicates that the output power is more stable when using the boost converter compared to not using it. This research focuses on a boost converter with PID control as a support, optimizer, and voltage stabilizer where the output power on the solar panel is expected to be more optimal and the output from the solar panel is more stable with more optimal results in various conditions. In this study, 12 solar panels of 125 WP with a capacity of 1.5 KW are used in series-parallel to obtain the required power. If the output from the solar panel is insufficient due to weather conditions, the voltage will be increased by the boost converter towards the inverter so that the voltage remains stable into the inverter with the boost converter. This boost converter uses PID control to keep the output voltage stable.  

This research aims to design and test a genset fuel conversion system from gasoline to HHO gas (brown gas) as a more environmentally friendly alternative. Conventional fossil-fueled generators face challenges in theform of limited resources and the impact of environmental pollution. In this study, HHO gas is produced through a water electrolysis process using an HHO generator that separates water molecules into hydrogen and oxygen using electric current. The test results show that increasing the voltage from 2.58 V to 5.12 V significantly increases the volume of gas produced. At a voltage of 2.58 V, the gas volume reached 110 ml, and increased to 750 ml at a voltage of 4.72 V. The generator set was successfully operated for 1 minute 15 seconds with HHO gas using a separate battery power source. These results demonstrate the potential of HHO gas as an efficient alternative fuel for generator sets. This study recommends further testing with voltage and current variations to find the optimal configuration, as well as the use of a larger power source to increase the efficiency of HHO gas electrolysis.

This study aims to analyze the sentiment of iPhone product reviews fromAmazon using the BERT (Bidirectional Encoder Representations from Transformers) model to classify reviews as either positive or negative. The dataset, sourced from Kaggle, includes text reviews and star ratings, where high ratings indicate positive sentiment and low ratings indicate negative sentiment. After text preprocessing steps, including data cleaning, tokenization, and sentiment labeling, the BERT model was fine-tuned for sentiment classification, with the data split into training, validation, and test sets. Evaluation results demonstrate that the BERT model achieves a high classification accuracy, with an accuracy rate of 93.9% and a balanced F1 score between precision and recall. Confusion matrix evaluation also indicates that the model consistently identifies both positive and negative sentiments. This study shows that Transformer-based models like BERT are highly effective in understanding customer opinions in e-commerce, with broad application potential for data-driven decision-making in marketing strategies and product development.

This research aims to design and simulate a DC motor speed control system using integral state feedback (KISF) control. This control is designed to maintain DC motor speed stability with high accuracy despite disturbances or load changes. The research stages include mathematical modeling of the DC motor, PID control design, integral state feedback control design, simulation implementation and simulation results analysis. The show that althought integral state feedback control has a rise time 273.501 ms, slightly slower than PID 197.604 ms, integral state feedback compensates with higher slew rate of change 6.540 V/ms compared to PID 4.344 V/ms. Integral state feedback offers greater flexibility through pole placement values with Ackerman’s formula J3 = [-12 -100 -600], indicating that this system has good capability in responding to input changes, thus maintaining motor speed stably and efficiently. This indicates that integral state feedback control is superior in system adaptation and handling complex dynamics.

Pada saat ini, teknologi informasi mengalami perkembangan yang sangat cepat. Pengguna dapat mengakses data atau informasi secara cepat, efisien, dan akurat. Pengolahan data merupakan proses untuk mengumpulkan, memproses, dan mengelolah data menjadi informasi yang dapat digunakan untuk pengambilan keputusan. PT. Subur Sedaya Maju Prabumulih, sebuah perusahaan yang bergerak di bidang jasa service, sewa-menyewa, dan perawatan alat-alat berat, telah menggunakan komputer sebagai alat bantu dalam pengolahan kas. Namun, bagian keuangan yang mengolah penerimaan dan pengeluaran kas tetap menggunakan Ms. Excel, yang memerlukan waktu dan tenaga yang relatif lama. Diperlukan adanya aplikasi yang dapat mengolah data penerimaan dan pengeluaran kas dengan cepat, mudah, dan akurat. Aplikasi tersebut harus terintegrasi dengan database agar dapat mempercepat pekerjaan bagian keuangan dalam membuat pelaporan bulanan dan update data kas masuk maupun kas keluar setiap hari

This research uses a literature study, a descriptive qualitative research type, a literature review describing the function of digital technology-based learning educational innovation. Research uses written sources such as articles, journals and relevant documents. The literature study focuses on the function or role of educational innovation, educational digital technology, and the use of educational technology. The study results show innovation in the process of renewal and change. Innovation is very necessary in the world of education so that it continues to develop. The use of technology has positive and negative impacts. The impact generated is focused on positive things and minimizes negative impacts if there is good cooperation from various parties so that the use of technology meets its objectives. The function of educational innovation in digital technology-based learning is very important. So that the use of digital technology can be carried out optimally and comprehensively, good innovation needed.

The aim of the research is to build a monitoring system prototype that can provide notifications in the system for collateral items that are lost or out of range within the monitoring distance of the RFID reader. so that each officer can know when the item is lost or out of reach based on the time recorded in the monitoring system. This is different from CCTV AI which can only record overall conditions and movements, but does not provide notification of loss or removal of collateral from the range of the RFID reader. Keywords: Collateral Goods, Reader RFID, Tag RFID, Cctv AI, Notification

This study aims to develop an automated pipeline for data cleaning using Pandas and Scikit-learn. The data cleaning process is often performed manually, requiring a long time and prone to errors. This study uses a quantitative experimental method with a dataset of 100,000 rows of e-commerce transaction data. The results show that the automated pipeline reduces missing values by 95.7% and outliers by 91.7%, and accelerates processing time by 35% compared to manual methods. The distribution of data after cleaning becomes more stable, allowing for more accurate analysis. This study contributes to the development of a more efficient and accurate automated data cleaning approach.Keywords: Systematic Literature Review, Artificial Intelligence and Marketing Strategy.

Electricity theft is an activity that is detrimental to the state where PLN as the party that distributes electricity has unknowingly lost its main commodity without any reciprocity in the form of payment. To overcome electricity theft, Execution of Electricity Use (P2TL) is carried out. Implementation of Electric Power Use (P2TL) is an activity to control electricity users who do not comply with installation standards. P2TL activities include planning, inspection, technical and/or legal actions and settlements carried out by PLN on PLN installations and/or Electric Power User installations. P2TL activities carried out in the Koba area from October to December 2023 found 3 violations in the area. The kWh saved as a result of P2TL from October to December was 21,480 kWh. From the kWh savings obtained, the highest loss was in October of 0.47% and the loss obtained without P2TL kWh savings was 0.48%. So that the kWh savings obtained from P2TL can reduce Non-Technical Losses. The more P2TL violations are found, the higher the reduction in losses obtained by PT PLN (Persero) ULP Koba. 

This study focuses on creating a Turnitin tutorial application to track plagiarism using the prototype method approach. The purpose of this application is to make it easier for users to understand and utilize Turnitin as a reliable plagiarism detection tool in academic writing. The prototype method was chosen because it allows for rapid iteration and improvement based on user feedback, which is very important to improve the quality of the application. The development stages include creating an initial prototype, testing functions, and collecting feedback for design refinement. This study aims for the application to be developed to provide clear guidance and effective solutions in identifying and preventing plagiarism, while deepening users' understanding of the use of Turnitin. Thus, this application is expected to strengthen academic integrity and support ethical writing practices through integrated plagiarism detection technology.

Most dairy farmers in our country still rely on human labor to monitor the condition of their farm areas. The current problem is the manual security system for barns, meaning that the barns need to be constantly checked around the area at all times. This is especially risky at night, when livestock theft is more likely to occur. This research implements PIR sensor technology to monitor movements around the barn, MC-38 magnetic sensors for gate security, and utilizes Android smartphones as devices to display barn data processing results, allowing real-time monitoring of barn security. The research is conducted using the Research and Development (R&D) method by Borg & Gall, encompassing only six steps. The results of the system evaluation by experts show a score of 3, falling between 2.1 – 3.0, categorized as Valid. User validation results show a score of 27.2, also falling between 2.1 – 3.0, categorized as Effective.

This research aims to design a website-based online store by utilizing a recommendation system with content-based filtering. The recommendation system is useful to help buyers get product suggestions that are in accordance with their preferences. The development method used in this research is the Waterfall model with the stages of needs analysis, design, program code generation, and testing. Researchers also use the UML model to help design the system and use the Laravel framework for website development. Based on the results of this study, the online store system designed has benefits for customers, because they can shop anywhere without having to come to the store directly. The recommendation system used also helps customers in choosing perfumes that match their preferences. 

Pada proses penilaian penentuan RT Terbaik mengalami kesulitan karena biasanya penilaiannya hanya berdasarkan pengamatan lingkungan saja, sehingga mengakibatkan dalam penilaian untuk menentukan RT terbaik tidak tepat sasaran sehingga menimbulkan permasalahan pada wilayah tersebut. Dari permasalahan tersebut diatas maka perlu adanya sistem iformasi pendukung keputusan untuk menentukan lingkungan RT Terbaik dengan berbagai indicator penliaan, sehingga dalam proses penentuan RT terbaik bisa tepat sasaran, maka perlu adanya Sistem Informasi Pengambilan Keptusan dalam menentukan Lingkungan Rukun Tetangga ( RT ) Terbaik dengan Metode AHP.

Abstract -  Corn plants are one of the plants that are easy to grow and relatively fast to get results but also a plant that is vulnerable to pests and diseases. The symptoms that arise require an expert or agricultural expert to be able to diagnose. Limited time and expert labor is one of the causes of delayed diagnosis, causing a decrease in farmers' yields. This is the basis for making this expert system by adopting knowledge from agricultural experts about the symptoms of corn disease using the Forward Chaining method. To support the research conducted, researchers used the Research and Development (R&D) research method and the design used the Object Oriented Programming (OOP) method using the Unified Modeling Language (UML). Software is built using the PHP programming language, MySQL as a database, and Bootstrap as an interface design with a web-based system.    

One effective way in the world of education, especially in teaching and learning activities, is to keep up with current developments by utilizing existing technology. At Kanisius Ungaran Vocational School in Class X MPLB there is no web-based interactive learning media for the History subject. In this regard, there is a need to develop web-based interactive learning media so that teaching and learning activities are more interesting and enjoyable, especially in the subject of History. The benefit of this research is that it can apply the knowledge possessed by researchers in developing web-based interactive learning media in the History subject in class X MPLB Kanisius Vocational School Ungaran. Apart from that, this research is also expected to increase learning creativity and innovation, as for the practical benefits of this research, it can make it easier for teachers and students in teaching and learning activities in the subject of History

Well-organized and methodical libraries can, either directly or indirectly, facilitate the teaching and learning process in the community in which they are housed. Manual searching takes a long time because libraries typically have a large number of reading books. Without a book search system, libraries will make it harder and take longer for patrons to find books since they will have to look through each book individually on the shelf. It is quite feasible to create an information retrieval system for libraries to make book searches easier. Based on the parameters or keywords entered, the content-based filtering approach of the library book search information retrieval system can present ten recommendations. The Complete Guide to Islam in Kafah has the highest similarity of 0.775 when it comes to the process of looking for books with religious categories and keywords related to Islam.

The insurance business within an insurance company offers insurance products owned by the insurance company. In every insurance product there is a premium payment and the premium is the income of an insurance company at the rate of the amount insured. The problem that PT BNI Life Insurance has is that there are many stops in premium payments such as policy redemptions due to errors in the benefits received or incorrect selection of the insurance product, this can reduce the achievement of targets for an insurance company. The aim of this research is to find out the best classification algorithm compared between K-Nearest Neighbor and Naive Bayes to predict the type of insurance product that customers will choose. In this research, data mining methods are applied to compare two different methods, namely the K-Nearest Neighbor method and the Naïve Bayes method. The level of accuracy results for the K-Nearest Neighbor method is 80% and the Naïve Bayes method is 70.53%, which means that the K-Nearest Neighbor method is the best method to apply to an insurance product classification system based on the demographics of prospective customers.

Accurate rainfall prediction is needed to improve the performance of land that always uses rainfall data. Data mining or often called knowledge discovery in databases (KDD) is an activity that includes collecting, using historical data to find regularities, patterns or relationships in large data. In predicting rainfall, there are several conditions that can be observed as reference data to predict rainfall, namely wind speed, temperature, and air humidity. In this research, a backpropagation artificial neural network prediction method is developed that can be used in predicting future rainfall. The backpropogation artificial neural network method that was built produced an accuracy value of 95.36%, a precision value of 90.50%, a recall value of 97.50% and an f-measure value of 92.00%

Monopulse Secondary Surveillance Radar Mode-S is a flight observation device that can work up to 256 NM coverage. To ensure that the equipment is run, it is necessary to evaluate the performance of the equipment in accordance with KP No. 35 of 2019 concerning procedures for maintenance and reporting of aviation telecommunications facilities. The purpose of this study is to evaluate the performance of the tool. Equipment performance evaluation is analyzed based on several parameters. the analysis was carried out using research methods in the form of qualitative analysis and descriptive analysis. The results of the analysis are adjusted to KP no. 35 of 2019 with an evaluation of the performance of the INDRA IRS20-MP/S 2NA Type MSSR Mode-S Radar device for the 2023 period has 100% availability, MTBF 8760 Hours, and MTTR 0 Minutes