Publication Search

This study examines the role of Artificial Intelligence (AI) in marketing strategy through a Systematic Literature Review (SLR) approach. AI has shown a transformative impact by outperforming traditional methods, especially in optimizing big data-based marketing strategies. With the ability to analyze consumer behavior in depth, AI enables businesses to personalize marketing efforts and improve user experiences more efficiently and responsively. However, challenges such as data privacy, high initial investment, and reliance on data quality remain major concerns that must be addressed. This study also evaluates the effectiveness of using AI across marketing channels, which shows significant differences in their impact on business strategy. In addition, the integration of AI-based fitness equipment is considered to have a major contribution in increasing consumer satisfaction while driving online business growth. The results of this study provide valuable insights into the effective implementation of AI, as well as highlight the importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

This research aims to analyze the impact of a new coil winding design in 3-phase induction motor on effiiciency, with the objective of creating a new 3-phase induction motor with improved performance. The research was conducted in the Electric Power System Laboratority, Department of Electrical Engineering, Padang Institute of Technology, and focuses solely on efficiency and its relationship to motor output power. The study involved redesigning the coils of a conventional 3-phase induction motor into a 6-phase coil design without altering the motor’s position, followed by testing both motors and comparing the efficiency of the conventional 3-phase induction motor with that of the redesigned 6-phase motor using the asymmetrical double methode. The result show that the efficiency of the 6-phase coil-designed motor increased compared to the conventional 3-phase induction motor.   importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

Indoor air quality plays a vital role in public health, especially since people spend about 90% of their time indoors. Poor indoor air quality, often caused by chemical, physical, and biological pollutants, can severely impact health, comfort, and productivity. To tackle this issue, a robust air quality monitoring and control system was designed, featuring an ESP32 microcontroller paired with sensors such as the GP2Y1010AU0F dust sensor, MQ-7 carbon monoxide sensor, and MQ-2 smoke sensor, along with a fan to enhance air circulation. This system is capable of detecting air quality issues and taking corrective action. The ESP32 module, integrated with the Internet of Things (IoT) technology, enables real-time transmission of sensor data to a web server for continuous monitoring and prompt response. Researchers have made significant progress in creating an effective, system-based solution to improve and maintain indoor air quality

Hydroponic plant cultivation is booming, but stock and sales are hard to predict. Poor prediction can cause farmers to overstock and lose money. This study suggests a framework that uses several machine learning models, including Linear Regression (LR), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting. "Ensemble Learning," which combines these models, should yield more accurate and generalizable results than a single model. This framework is assessed using historical hydroponic plant sales data and related factors like price, weather, and market trends. The model's performance is measured by the difference between predictions and actual values using RMSE and MAE metrics. This framework should improve hydroponic plant stock and sales predictions. Farmers can make better production, inventory, and harvest distribution decisions. Besides reducing financial losses, this reduces food waste and improves food security.

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 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.

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 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.

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 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. 

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 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.

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

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