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This research aims to design and build a system for stirring and monitoring temperature and humidity for ESP32-based compost fertilizer. This system uses an ESP32 microcontroller to control compost mixing and monitor temperature and humidity conditions in real- time. Data obtained from sensors will be sent to the server for monitoring via Blynk. The implementation of this system is expected to increase the efficiency of the composting process and produce high quality compost through optimal monitoring and mixing.

One of the museums found in Bali is Subak museum in Tabanan Regency. The establishment of this Museum aims to preserve the traditional institution called Subak as a noble national cultural heritage, and to introduce to the younger generation and foreign tourists about the unique traditional irrigation system in Bali. Lack of supporting facilities in delivering information, making tourists who visit Subak Museum have minimal information. The solution needed in Subak museum is an Android-based E-Tourism application that is supported by Qr-Code technology so as to provide an interesting presentation of data. In making this application using the development of the Waterfall method and designed using the Unified Modeling Language (UML) with the Java programming language for Android and PHP for web services, and MySQL as a database. So that produced an android-based system in Subak museum Tabanan Regency. Based on the results of the tests carried out it can be concluded that the black box testing system functions have been running according to the planning. Then the result of the testing of users using questionnaires generated Application Benefits scores 90.8%, Ease of 86.93%, Interface 82% and Content 90.2%. 

This study discusses the design of a goods storage information system at the Medan Class A Search and Rescue Office to improve the efficiency and accuracy of goods management management. This system is designed to automate the process of storing and tracking goods, which has been done manually and often causes various problems such as tracking difficulties and data inaccuracies. The results of the implementation show that this information system is able to minimize errors, reduce the risk of loss of goods, and ensure the availability of important equipment in real-time. Despite challenges such as user resistance and resource requirements, careful planning and proper training overcame these obstacles. In conclusion, this system contributes significantly in improving the operational performance of the Medan Class A Search and Rescue Office.

This study aims to examine the impact of a 6-phase design using an asymmetrical dual 3-phase design on the torque and speed of an induction motor, where the newly designed motor still uses a 3-phase power source. The research compares the performance of a conventional 3-phase induction motor with that of an asymmetrical 6-phase induction motor design, focusing on torque and speed. This motor is only designed in terms of its windings, so the motor's position remains unchanged. The 3-phase system applied to the 6-phase induction motor design ensures that the 6-phase motor operates within a 3-phase system. The study also explores performance improvements, particularly in torque and speed, by redesigning the windings of a 3-phase induction motor into an asymmetrical 6-phase motor. The induction motor used in this research has the following specifications: 3-phase, 2 A, 1390 RPM, 50Hz, 0.75 kW, and 380Y. The study aims to understand the effects of the asymmetrical 6-phase induction motor design, particularly regarding torque and speed. The results show that the torque and speed of the two motors differ due to the asymmetrical 6-phase winding design. In a conventional 3-phase induction motor, the winding coil layer distance is 120°, whereas, in the asymmetrical 6-phase induction motor, the distance between the first and second layers is 30°. Based on this analysis, the asymmetrical 6-phase induction motor design demonstrates better performance compared to the conventional 3-phase induction motor.

Electric vehicles use a power source from electrical energy to be converted into kinetic energy. The electrical energy source is stored in the battery. The battery charging process can be done using power sources from Solar Panels and PLN. Based on the analysis of the measurement results, it can be concluded that (1) recharging the battery using Solar Panels from minimum to maximum conditions takes 4 hours 38 minutes, and (2) recharging the battery using PLN from minimum to maximum conditions takes 2 hours.

Current technological advances have made the need for information technology very necessary. With the existence of web-based geographic information system technology, it can help PT. Telkom Indonesia Tbk Prabumulih City Branch to digitize every Indibiz customer and target area for Indibiz products. The aim of this research is to create a web-based Indibiz customer mapping information system and to improve technician performance in matters concerning Indibiz. The research method used is descriptive qualitative, the Waterfall method as a system development method and UML as a design tool. The application was built using a website with the php programming language, a mysql database, and printing data using pdf files.

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

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.

Induction motors are components that convert electrical energy into mechanical energy and are very much in demand among industries, with low prices, sturdy construction and easy maintenance making these induction motors used for heavy industrial applications. However, the 3-phase induction motor at this time chooses a low torque and speed so that it affects the efficiency of the induction motor performance, which will decrease.  This study examines the effect of unsymmetrical 2-layer 6-phase induction motor design on the torque and speed of 3-phase induction motors using the finite element method. This research was conducted using Ansys software, which aims to see the magnetic flux density and the effect of 6-phase induction motor design on the torque and speed of a 3-phase induction motor using the finite element method. The induction motor that is the reference for this research has specifications of a 3-phase induction motor: 0.75 KW, 1 HP, 220/380 V, 3.5/2 A, 50 Hz, 1390 rpm. From the results of this study, the simulation results of the shape of the flux density ... which is designed with the parameters of a 3-phase induction motor with an unsymmetrical 6-phase 2-layer induction motor coil design.

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.

SION (Sistem Informasi Online) ITB STIKOM Bali is a platform used by students and lecturers to support administrative and academic processes on campus. This research examines how the user experience (UX) level of SION can enhance the quality of services provided by the system. The purpose of this study is to measure user satisfaction with the user experience quality. The study uses the User Experience Questionnaire (UEQ) method, which includes six rating scales: attractiveness, clarity, efficiency, accuracy, stimulation, and novelty. The UEQ method also offers analytic tools that can be downloaded from its official website. Respondents in this study consisted of 75 people from a population of 248. The results of the UEQ analysis show positive evaluations across all aspects, with the following detailed scores: attractiveness received a score of 1.37, perspicuity 1.34, efficiency 1.16, dependability 1.21, stimulation 1.16, and novelty 0.87.

The management of service centers at the Indonesian Rede Cross (PMI) in East Jakarta is still conducted manually, which slows down service processes and increases the likelihood of data processing erorrs. This research aims to design a Java-based application to automate patient registration, admission, handling, emergency services, available ambulance data, and the preparation of reports as quickly as possible. The application was developed using the Java programming language with a prototype model approach in software development. Testing results indicate that this application successfully enhances the efficiency and accuracy of PMI East Jakarta’s operations, particularly in managing data related to patients, actions, personnel, and ambulance availability. It is hoped that this application can be integrated with other PMI regions to establish a more structured and connected service management system.

The role of information and communication technology in education in general aims to make students understand information and communication technology tools in general, including computers (literacy) and information literacy, where students recognize the terms used in information and communication technology. In the Qur'an there are so many commands, statements, suggestions and so on that substantially connect Islamic teachings with science and technology. The results of this research found that the role of information technology in education, apart from helping students in learning, also has a quite influential role for teachers, especially in the use of facilities to enrich teaching abilities, and the Al-Qur'an as a guide and guidance for the development of science and technology. in order to strengthen faith and improve human welfare.

E-Learning becomes a platform which supports technology-based learning on many aspects. The usage of E-Learning becomes the main choice especially in education world. SMK TI Bali Global Jimbaran, which is a middle level vocational school, utilizes this platform in its learning process. In its implementation process, there needs to be a precise and thorough supervision to ensure that the system runs according to business goals. This mapping is conducted to know the process used for measurements. This mapping is done by framework with COBIT 5 by applying PAM (Process Assessment Model), which is adjusted with the condition on research place. The activity measurement are derived from several domains on COBIT 5 with mapping process based on the business goals and institution goals. The domains used are EDM03, AP003, BAI07, DSS05 and MEA01. The results of governance measurement process on current capability level is on level 4 (predicable process) and the expected capability level is on level 5 (Optimizing Process) which has gap value of 2 level.

The news about the proposal of the government of the Republic of Indonesia regarding the postponement of the 2024 elections is certainly an interesting discussion. In this research, sentiment analysis will be carried out on the issue of postponing the election. In this study, a dataset obtained using the crawling technique was obtained in the amount of 1280 tweet data about the postponement of the 2024 election. Data labeling in this study uses lexicon-based techniques with Indonesian dictionaries. By applying this technique, the details of the data in the positive class are 67.7%, namely 157 opinion data, and 32.3% negative, namely 75 opinion data. The sentiment classification system's training and test data yield a 9:1 ratio when the Naïve Bayes Classifier method is applied, and word weighting using TF-IDF yields an accuracy value of 91.67%, precision of 90.91%, recall of 100%, and f1-score of 95.24%.

PT Astra International BMW Semarang is a company operating in the automotive sector with 3 supporting pillars, namely Sales, Aftersales and Spare Parts for BMW car units. The availability of spare parts is one of the determining factors for consumer satisfaction with the company because if the spare parts stock is empty it will cause consumer disappointment with the company. By using spare parts sales transaction data for the period January 2019 – June 2023, totaling 52,162, it will be utilized using data mining association techniques with the a priori algorithm and the eclat algorithm. The problem in this research is how to find out consumer purchasing patterns so that there is no shortage or empty stock of spare parts in the warehouse. This research aims to determine the association of spare parts purchasing patterns in sales transactions so that partman get recommendations in making decisions about providing priority types of spare parts. This research methodology uses CRISP-DM (Cross-Industry Standard Process for Data Mining) and is implemented with the R programming language with R studio software. In 3 trials using the Apriori algorithm and 3 trials with the Eclat algorithm, The result with the highest confidence appears in a combination of 3 itemsets with minimum support 0.01 and confidence 0.9, namely if a customer buys B11.42.8.593.186 (Set oil-filter Mx) and B83.12.5.A1A.683 (Washer Cleaner) then they will also buy Z99000000333 ( BMW Engine Oil) with confidence 1.00 or 100%. From the results of this association's analysis, it can be used as advice for the management of PT Astra International BMW Semarang in managing spare parts stock.

This paper presents the design and implementation of an automatic Virgin Coconut Oil (VCO) making device using an Arduino Uno microcontroller. Virgin Coconut Oil has gained popularity due to its health benefits and versatile uses in various industries. The traditional process of making VCO involves manual effort and precise timing, which can be tedious and inconsistent. The proposed automated system aims to streamline the VCO production process by integrating sensors, actuators, and a microcontroller to achieve precise control and monitoring of the process variables. The Arduino Uno microcontroller serves as the central unit for data acquisition, processing, and control, facilitating automation through programmed logic. Key components of the automated VCO maker include temperature sensors for monitoring heating stages, a motor for stirring, and relays for controlling heating elements. The system utilizes feedback loops to maintain optimal conditions during each phase of VCO production, ensuring reproducibility and quality. The design also emphasizes user-friendly operation, with an interface that provides real-time feedback on process parameters and allows manual intervention if necessary. Safety features are incorporated to prevent overheating and ensure operational reliability. Overall, the developed automatic VCO maker offers a practical solution to enhance the efficiency and consistency of VCO production, catering to both small-scale producers and commercial enterprises in the food and cosmetic industries

Perilaku merokok tidak hanya ada di zona sekolah non pesantren, tetapi juga ditemukan di sekolah pesantren. Walaupun dalam pesantren terdapat aturan dilarang merokok, masih banyak santri yang merokok secara sembunyi, dimana salah satu tempat yang paling sering dijadikan tempat merokok mereka adalah di dalam kamar mandi asrama dan perilaku tersebut merupakan suatu pelanggaran. Pondok pesantren salafiyah safi’iyah sukorejo merupakan salah satu pondok pesantren yang sangat melarang para santrinya untuk merokok. Bahkan pelarangan merokok ini merupakan pelanggaran yang berat, dimana santri yang ketahuan merokok bisa langsung di keluarkan dari pondok. Salah satu solusi dari permasalahan ini yaitu  bagaimana merancang alat pendeteksi asap rokok berbasis IoT menggunakan sensor MQ-135 dan mikrokontroler ESP32-CAM, serta bagaimana sistem ini tidak hanya mendeteksi asap tetapi juga mengirimkan notifikasi lokasi dan mengambil gambar kejadian untuk dokumentasi.

Traditional doors usually consist of a housing or padlock and a flip key to open it. Usually found on office or mall doors, doors can be made more practical. The door will open automatically if there is physical energy (stimulus) that moves it. For example, when someone wants to enter the room, the door will automatically open. Doors like this are designed using automatic control using embedded system equipment. This automatic door system can be designed using automatic control combined with PIR sensors and servo motors. In terms of input equipment, a PIR (Passive Infrared Receiver) sensor is used which will detect humans approaching the door. This PIR sensor will send a signal to the Arduino process unit which contains a microcontroller chip. This microcontroller will send the processed data to the servo motor, so that it can open or close the door automatically.