Empty oil palm bunches processed by palm oil mills in Indonesia are still abundant, reaching 56.35 million tons per year. Empty oil palm bunches contain around 40% cellulose, so they can still be used for various derivative products, one of which is composite products. The use of empty oil palm bunches as raw materials for Bioplastic production is a series of ongoing research, one of which is starch-cellulose blend, but until now it has not been successfully commercialized. The design of the starch cellulose blend bioplastic industry using palm oil as raw material produces two factories, namely a cellulose factory and a composite bioplastic factory. Both factories are designed in separate buildings. The separation of cellulose from TKKS uses a chemical method with soda, after mechanical treatment of size reduction. The industry is designed in 3 scales of production capacity, namely a large scale of 190,000 tons / year, medium 115.00 tons / year, and small 40,000 tons.year. The financial analysis of the three scales of production capacity as a whole is declared feasible. Profit margin is calculated at a minimum of 17.6%. The average payback period is between 3-5 years with an IRR of 24-49%. Analysis of the economic value produces an EScale index of 0.64 which indicates that the economic scale has been achieved. The economic scale of the starch cellulose blend bioplastic industry from TKKS is at a production capacity of 40,000 tons per year with a minimum supply of TKKS raw materials of 20,203 tons/year. At the smallest economic scale, the BEP is actually only 6627.4 tons/year, where this condition can be achieved because the industry has relatively small fixed costs.

The digitalization of cultural preservation through education is crucial in the digital era. The Betawi Cultural Community, Sanggar Bale Bambu in Depok, West Java, faces challenges in introducing Betawi culture to the public, particularly in the documentation and management of cultural services. Although many studies on cultural digitalization exist, few educational applications directly collaborate with cultural communities and support cultural services. This study aims to design the User Interface (UI) and User Experience (UX) of a mobile application as a learning medium for Betawi culture and cultural services, beginning with user needs identification to minimize development errors. The method used is Design Thinking, which emphasizes empathetic understanding of user needs and produces innovative solutions. The research process includes problem formulation, empathy, ideation, responsive prototyping using Figma, and qualitative Usability Testing. The result is an application Prototype with six main educational features: pencak silat, ondel-ondel, Betawi music, Betawi accessories, lenong, and palang pintu. Testing showed that the application is easy to use, informative, and effective as a digital medium for introducing Betawi culture. Further research can continue with in-depth quantitative Testing, back-end integration, and broader user Testing for additional validation.

Soil moisture is a crucial factor in agriculture that affects plant growth and crop productivity. In modern agricultural systems, accurate soil moisture monitoring is essential for optimizing water usage and enhancing the efficiency of automatic irrigation systems. This study aims to develop an Internet of Things (IoT)-based soil moisture monitoring system and evaluate the performance of three types of soil moisture sensors: Soil Moisture FC-28, Capacitive Soil Moisture Sensor, and Soil Moisture Hygrometer Module Sensor. The evaluation compares the accuracy and effectiveness of each sensor in measuring soil moisture. The research methodology involves measuring soil moisture in ten different soil samples using the three sensors simultaneously. The system is based on the ESP32 microcontroller, where data from the sensors are processed and displayed on an LCD Liquid Crystal I2C 20x4. Data analysis is conducted using the one-way ANOVA statistical method to determine whether there are significant differences among the measurement results of the three sensors.The results indicate that each sensor exhibits different measurement characteristics based on its working principle. The Soil Moisture FC-28 sensor, which operates on resistance, shows high sensitivity to changes in soil moisture but is susceptible to corrosion. The Capacitive Soil Moisture Sensor is more durable as it does not have direct contact with the soil, yet it requires more precise calibration. Meanwhile, the Soil Moisture Hygrometer Module Sensor provides more stable results under various environmental conditions. The one-way ANOVA analysis reveals no significant differences in the measurement results among the three sensors.

UD. Sarigut Bakery is known as one of several industries that focus on processing bread specifically in the Banda Aceh City area that seeks to produce with a variety of bread. The purpose of this study is to carry out efforts to identify, measure efforts, and analyzing efforts to the phase known to be the cause of the decline in quality of the production process of meses bread through a series of stages of the DMAIC SIX SIGMA methodology. It is known that the main problem is the discovery of disability with a total of 4,096 of the total production of the production of 21896 with a period of 3 months specifically in the dominant disability of Meses bread in the percentage of 81.29%. With the dominant of the disability itself the disability that comes in damaged bread with a percentage of 36.49% present from all of the total disability of related meses bread. After the assessment effort, the DPMO value was obtained by 26723.74 so that there were several levels of Sigma 3, which means it was still far from the world industry level which reached 6σ (3.4 DPMO). Efforts to analyze the data carried out by applying the Fishbone and FMEA (Failure Mode and Effect Analysis) diagrams are known to be related to the cause of the presence of disability from damaged bread with 3 modes of failure in potential, namely bread that is not filled with chocolate with a value of 20, the upper bread with a value of RPN of 80 and failure mode on broken bread with the highest RPN value of 90.

Grounding incidents are among the most critical maritime accidents, posing significant threats to navigational safety, operational efficiency, and logistics continuity. This study aims to analyze the contributing factors behind the grounding of MV. Tanto Luas in the Mahakam River and to identify effective mitigation efforts. A descriptive qualitative approach was employed, with data collected through direct observation, interviews with ship crew, and documentation during onboard sea practice (PRALA). The findings reveal that the grounding incident was primarily caused by poor communication between MV. Tanto Luas and a tugboat, improper navigational decisions, and shallow, wave-affected waters. The Fishbone Diagram (Cause and Effect Diagram) method was used to systematically identify the root causes of the problem. Mitigation efforts included tank sounding, tidal monitoring, optimal use of navigational equipment, and improved inter-vessel coordination. The study concludes that grounding incidents can be prevented through enhanced communication, strict adherence to navigational procedures, and regular crew training. This research offers both practical and theoretical contributions to the enhancement of maritime safety in narrow waterways such as the Mahakam River.

Students' understanding of the concept of motion of objects on inclined planes still shows obstacles, especially when applied in real practice. This study aims to see the extent to which students understand the concept through simple experiments and questionnaires. The main focus of the study was on the results of the practicum, where the block slid faster on a smooth plane (an average of 1.25 seconds) than on a rough plane (an average of 1.61 seconds). This time difference reflects the effect of friction on the motion of objects, but some students were unable to explain the difference correctly. This indicates that there are still misconceptions in understanding the concepts of force and motion. Meanwhile, the results of the questionnaire only reinforced that most students felt the need for direct practice to understand this material. Thus, a practice-based learning approach is very important to strengthen students' conceptual understanding in Basic Physics courses.
 

Color fastness in Direct to Film (DTF) digital screen printing is influenced by various external factors, one of which is exposure to ultraviolet (UV) light. This study aims to evaluate the impact of UV light on the color stability of DTF prints on two types of fabric, namely 30s cotton and spandex rayon. A quantitative approach was used in this study, involving color difference testing (ΔE), washing simulations, and UV exposure. Based on the analysis results, cotton 30s demonstrated superior color fastness performance compared to spandex rayon, as indicated by lower ΔE values after UV exposure and washing processes. Conversely, spandex rayon experienced more drastic color changes, especially after being washed with bleach detergent. These findings emphasize that the selection of fabric materials and washing methods are critical factors.

This study aims to develop an automatic detection system to improve lift safety through early detection and rapid response to sling failure. The research method uses an experimental approach by designing a 3-story lift prototype that integrates a Raspberry Pi Pico microcontroller as the main processing unit, an HC-SR04 ultrasonic sensor to detect lift position, a limit switch to detect sling failure, and a mechanical braking system using a servo motor. The system is equipped with an I2C LCD for real-time display, Telegram notifications for remote monitoring, and a buzzer alarm as an early warning. The test results show that the ultrasonic sensor has a high accuracy of 97.58% with an average error of 2.42%. The system successfully detects sling failure and activates mechanical braking automatically, preventing the basket from falling freely and allowing it to stop on the nearest floor. All control functions such as navigation buttons, motor rotation direction, and limit switch accuracy work well. This system provides an innovative solution to improve elevator safety through the integration of automatic detection technology, real-time monitoring, and direct physical response that can be applied to the development of future elevator safety technology.

The increasing demand for sustainable agricultural practices has led to the adoption of hydroponics, a method of growing plants in nutrient-rich solutions without soil. This method is particularly effective in controlled environments where resource efficiency is paramount. However, the success of hydroponic systems depends heavily on precise nutrient management, especially for micro-nutrients, which are crucial for plant health and productivity. Traditional methods of nutrient monitoring are often labor-intensive and lack the real-time responsiveness needed for optimal nutrient control. This study addresses the challenge of real-time nutrient management in hydroponic systems by developing a miniature sensor system integrated with Internet of Things (IoT) technology. The proposed system is designed to detect micro-nutrient concentrations accurately and transmit data in real-time to a cloud platform for continuous monitoring and automated control. Advanced algorithms are employed for data processing and calibration, ensuring high accuracy in detecting micro-nutrient levels. The system was tested in a controlled hydroponic environment, where it demonstrated high accuracy with minimal error margins, validated by a consistently low Mean Absolute Error (MAE). The integration of IoT allowed for seamless data transmission and real-time analysis, enabling immediate adjustments to nutrient levels as needed. This research contributes to the advancement of precision agriculture by providing an effective solution for real-time nutrient management in hydroponic systems, potentially improving crop yields and resource efficiency.

The purpose of this study is to evaluate how effective the laboratory information system is in terms of data transmission and website speed at the UNTIRTA VTE Laboratory. To conduct this study, a literature review and direct observation of the data sending and receiving process, as measured by PageSpeed ​​Insights, were used. The results showed that overall, the website performance was good, with optimal FCP and LCP values ​​on desktop and mobile devices. However, elements such as Interaction to Next Paint (INP) and Speed ​​Index (SI) require additional improvements to improve interactivity and access speed. The student dashboard page is considered the main activity center, according to the analysis of user access pattern data. However, pages with large file sizes require better data transmission management to avoid bottlenecks. The student dashboard page is considered the main activity center, according to the analysis of user access pattern data. However, pages with large file sizes require better data transmission management to avoid bottlenecks. This study provides an overview of how effective data transmission and user experience are on the laboratory website and suggests the development of infrastructure and website optimization elements, such as caching and file size reduction. These results contribute to the continuous improvement of the laboratory website, which is very important to meet the data and information service needs of UNTIRTA VTE Laboratory users in real-time.