Thermal comfort regulation in buildings located in hot climates, such as Indonesia, remains highly dependent on air conditioning (AC) systems, leading to substantial energy consumption. Integrating Phase Change Materials (PCM) into building envelopes offers a passive thermal management strategy to reduce cooling loads. This study investigates the thermal performance of a gypsum-based wall incorporating a eutectic fatty acid PCM (laurate–stearate) of 85:15 (wt%) modified with polylactic acid (PLA) at three PCM:PLA ratios (1:0.6, 1:0.8, and 1:1), alongside a control sample without PCM. Samples were fabricated at laboratory scale and evaluated using a mini-cubicle system under controlled charging and discharging conditions. Energy performance was assessed through temperature change rates and heat transfer (q) analysis at three measurement points (T1, T2, T3). Results demonstrate that PLA modification significantly enhances PCM performance, with the 1:0.8 ratio (bPCM) exhibiting optimal behavior. During charging, bPCM achieved the lowest temperature change rates of 4.75 °C/h at T1, 1.15 °C/h at T2, and 0.65 °C/h at T3 and the minimum heat transfer from T2 to T3 of 32.049 J. Similarly, during discharging, bPCM maintained the smallest temperature change rates of 2.2 °C/h at T1, 1.0 °C/h at T2, and 0.65 °C/h at T3 with the lowest heat transfer to the indoor zone of 32.033 J. These findings confirm that optimized PLA-modified eutectic PCM significantly improves heat absorption, latent heat storage, and thermal insulation performance compared to non-PCM and non-optimized compositions. The proposed composite wall system demonstrates strong potential for passive cooling enhancement and building energy efficiency improvement in hot-climate regions

Vibrating screen is a filter unit that plays an important role in clarification stations because it functions to separate coarse impurities from crude oil so that the quality of the oil is improved and the oil loss can be minimized. The data used in this study is in the form of bait composition consisting of oil, water, and NOS in several observation periods. The data was then evaluated to determine the relationship between the variation in the composition of the feed and the effectiveness of the resulting filtering. The results of the study show that the effectiveness of vibrating screen tend to fluctuate in each observation period. Effectiveness increases when the oil content in the feed is higher, as the oil is more easily separated from impurities.

The Morbilivirus virus is the cause of the infectious illness measles, which can be lethal, particularly in young patients. Due to poor vaccination rates and restricted access to medical care in rural regions, the number of measles cases in Indonesia has dramatically grown. An expert system based on Android has been created to solve this issue, enabling people to independently diagnose measles early. Based on the user-selected symptoms, this system use the Forward Chaining method as an inference methodology to assess the likelihood of a diagnosis. In order to guarantee flexibility and speed in software development, Agile and Rapid Application Development (RAD) were the research methodologies employed in the creation of this system. Testing was carried out using the Blackbox Testing and Whitebox Testing methods, which showed that the system had a good level of accuracy in detecting measles. In addition, this system also stores diagnostic history, provides food recommendations, and information related to measles. The results of the study show that this expert system can increase public access to health information, especially in areas with limited medical personnel. With this application, it is hoped that the public can be more aware of measles symptoms and immediately take appropriate medical measures to prevent further complications.

Slums are densely populated settlements that are not habitable, the building density is very high in a very limited area, causing various problems such as being prone to social diseases and diseases. The distribution of slums in an area can be analyzed using geographic information systems as an innovative strategy to visualize geospatial information accurately, allowing for more in-depth and data-based analysis to support decision making. This study uses the Geographically Weighted Regression (GWR) method. Geographically Weighted Regression (GWR) is a statistical analysis that allows researchers to evaluate spatial variations in the relationship between dependent and independent variables, using the Fixed Gaussian kernel function to provide constant weighting across research locations, so that they can understand complex and different spatial relationships in each location. Based on data processing on seven indicators and 16 slum parameters stipulated in PUPR Regulation No. 14 of 2018, Panjang District, Bandar Lampung City, there are 5 sub-districts that are categorized as light slums with slum distribution points spread across various locations without clear concentration. The results of the Geographically Weighted Regression (GWR) model show that the independent variables (X) and dependent variables (Y) reflect a complex relationship with variable X 11 (non-standard wastewater management system) having the highest coefficient of 0.213830. The results of the GWR model in the ANOVA table show that the GWR model does not provide significant improvement.

This research aims to determine the main dimensions of the roll drive gear on the roll rotation speed in the roll sheeter machine. The roll rotation speed influences the quality and efficiency of the milling process to produce Ribbed Smoke Sheet. The results of the research show that the main sizes of gears on the roll sheeter machine are the gear module used is 8.34 mm, the diameter of the stitch is (150.12 mm), the inside diameter is (129.27 mm), the outside diameter is (166.80 mm), tooth height (18.76 mm), circle distance (26.18 mm), tooth width (125.10 mm), and tooth thickness (14.40 mm) and roll rotation speed on the roll sheeter machine (roll-1 =0.45 m/s), (roll-2 =0.49 m/s), (roll-3 =0.53 m/s), (roll-4 =0.57 m/s), (roll-5 =0.68 m/s), and (roll-6 =0.56 m/s).

The reverse engineering process in development is widely used to carry out the reverse engineering process for the design of certain products, in this study the reverse engineering process on the palm oil lorry wheel is to improve the design as well as a combination of materials to increase the life of the lorry wheel product in the palm oil processing. The process of scanning the surface of the lorry wheel using camera and the reverse engineering process is carried out by measuring the precision of the lorry wheel by measuring using a precision measuring instrument, data obtained by measurement and reconstruction model. data obtained by measurement and reconstruction model using CAD software and CAE software used to analyze the CAD and CAE software are used to analyze the design results after the reverse engineering process. reverse engineering process. So, it is necessary to develop a reverse engineering system design that will be useful in terms of efficiency and service life of the lorry wheel, in the design of this lorry wheel uses CAD and CAM software to model the lorry wheels with simulation and analysis systems. The next process is to modify and remanufacture the lorry wheel model using machine tools so that the prototype of the manufacturing process can be tested. so that the prototype of the manufacturing process can be tested on the lorry to see the durability of the reverse engineering product. to see the durability of the reverse engineering product. The results of this research showed that the reverse engineering data can be interpolated for further CAE process

This study aims to apply the Single Minute Exchange of Die (SMED) method in reducing setup time on a 350T capacity molding machine at PT HMG. The data collection results showed that the frequency of mold changes reached 70 times a month, with the average time required for mold changes before the implementation of SMED 173 minutes. After the implementation of SMED, the mold change time was successfully reduced to 64 minutes, reflecting a decrease of 63%. The implementation of SMED was carried out through several stages, including converting internal activities to external ones, which aimed to reduce machine downtime. Optimization of the remaining activities was also carried out, such as reducing the temperature drop time on the barrel and hot runner, which previously took 15 minutes, now only 5 minutes. The final results showed that machine downtime cost savings reached Rp11,200,000 per month after the implementation of SMED, with total downtime costs decreasing from Rp30,274,999 to Rp19,074,999 per month. This study proves that implementing the SMED method can significantly improve time efficiency, reduce production costs, and create more efficient operational standards. The findings provide a solid basis for further development in industry manufacturing practices.

This study is based on a conversation that took place during an industrial vist by Aceh Polytechnic D3 Mechatronics students at PT Agro Sinergi Nusantara (ASN), where the company does not yet have a system in place to monitor gas, steam, and fire pressure in order to reduce hazardous circumstances in the factory. A fire detection system is needed to prevent fires because palm oil factories often have processes that involve flammable materials and have the potential to cause fires. The steam pressure in the boiler of the Steam Power Plant (PLTU) system at PT ASN needs to be monitored to prevent explosions. The PLTU combustion system that utilizes palm oil pulp and empty bunches produces carbon emissions that are harmful to health. Information on carbon gas levels also needs to be known to ensure whether the surrounding conditions are dangerous. The presence of fire, gas and steam pressure needs to be monitored via a smartphone connected to the Internet network. Thus, workers do not have to be close to the machine area because monitoring is sufficient on a smartphone. The research method is a case study at PT ASN, surveys and interviews, literature studies, experiments and simulations on prototypes and data collection in the laboratory. The data used for measurement are fire and gas from matches and air pressure from the compressor. The results obtained, this prototype is able to detect fire, gas and vapor pressure. When fire is detected, pressure and gas that exceed the setting limit will trigger the alarm to activate. The presence of fire and gas and vapor pressure data can be monitored on a smartphone with a delay of 17 seconds. The average accuracy of pressure detection with arduino is 96.20% and smartphone 97.07%.

The Pavement Design Manual 2024, which requires the use of asphalt PG 70 for loads above 30 million ESAL and the increasing volume of palm oil waste that requires handling and reuse, as well as the need for alternative materials to be used as fillers, make it necessary to develop environmentally friendly materials by combining asphalt PG-70 and palm oil fuel ash as fillers. This pavement mixture is expected to be a mixture containing environmentally friendly road construction materials as well as a solution to the utilization of palm oil waste that can withstand high traffic loads. Testing of aggregate materials, asphalt, and asphalt mixtures was carried out at the Civil Engineering Laboratory of Medan State Polytechnic, in accordance with SNI, which refers to the General Specifications for Road and Bridge Construction Work 2018 Revision 2. The results obtained were that palm oil fuel ash as filler in asphalt mixture PG 70 gave an average value of stability above 1000 kg, density of 2-3 gr/ml, and VFA above 65% in all variations of filler content, for VIM values between 3-5% in the 50% and 75% variations, and VMA values above 15% in the 50%, 75% and 100% variations, while the flow value did not meet the standard value of 2-4 mm for all variations of filler content. Asphalt mixture PG 70 with palm oil fuel ash filler produces good density and stability values, but under repeated loading it will easily cause waves and rutting in the pavement due to the rigid nature of the mixture with a very high flow value and thus allow bleeding because the value of VFA is also very high.

The problem often encountered in medical record services at hospitals is the inefficiency and ineffectiveness of processing registration data due to the continued use of manual bookkeeping as an archive. This leads to obstacles such as difficulties in retrieving patient data and the risk of data redundancy. When patients do not bring their medical cards, there is a risk of damage or loss of patient data, as well as the risk of data accumulation that requires special storage space. Therefore, this study developed a medical record information system using the waterfall method, which consists of requirements, design, implementation, verification, and maintenance phases. Based on the results of white box testing, the cyclomatic complexity is 21, region = 21, and independent path = 21, indicating that the system is functioning well without errors. Furthermore, User Acceptance Testing (UAT) resulted in a percentage of 81.5% from 10 respondents, indicating the system received positive feedback from users.