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One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.

Dengue Hemorrhagic Fever (DHF) remains a significant public health problem in tropical countries, including Indonesia. The presence of Aedes aegypti larvae is an important indicator of dengue transmission risk and is influenced by environmental factors, particularly temperature and humidity. This study aimed to analyze the relationship between temperature and humidity and the presence of mosquito larvae in Meteseh Village, Tembalang District, Semarang City. This analytical observational study employed a cross-sectional design involving 100 households selected through quota sampling. Data were collected through direct observation and measurement of temperature and humidity using a thermo-hygrometer, then analyzed using the Chi-square test. The results showed a significant association between temperature and the presence of mosquito larvae (p=0.000), while humidity was not significantly associated with larvae presence (p>0.05). Temperature was identified as a more influential environmental factor in supporting mosquito larvae existence than humidity in the study area. These findings highlight the importance of environmental-based vector control strategies, particularly through management of microhabitat temperature conditions, to support dengue prevention.

Dengue Hemorrhagic Fever (DHF) remains a significant public health problem in tropical countries, including Indonesia. The presence of Aedes aegypti larvae is an important indicator of dengue transmission risk and is influenced by environmental factors, particularly temperature and humidity. This study aimed to analyze the relationship between temperature and humidity and the presence of mosquito larvae in Meteseh Village, Tembalang District, Semarang City. This analytical observational study employed a cross-sectional design involving 100 households selected through quota sampling. Data were collected through direct observation and measurement of temperature and humidity using a thermo-hygrometer, then analyzed using the Chi-square test. The results showed a significant association between temperature and the presence of mosquito larvae (p=0.000), while humidity was not significantly associated with larvae presence (p>0.05). Temperature was identified as a more influential environmental factor in supporting mosquito larvae existence than humidity in the study area. These findings highlight the importance of environmental-based vector control strategies, particularly through management of microhabitat temperature conditions, to support dengue prevention.

Modern infrastructure development often involves the use of mass concrete in large structural elements such as pile caps and foundations. However, massive concrete volumes trigger a significant temperature increase due to the heat of hydration that is difficult to dissipate, posing a risk of thermal stress and structural cracking. This study aims to analyze the temperature rise behavior of mass concrete and evaluate the effectiveness of combining chilled water and fly ash substitution in minimizing these thermal cracking risks.The research method employs a quantitative approach through laboratory testing at PT Adhimix RMC Plant Kaligawe. Specimen blocks measuring 40 x 40 x 100 cm were divided into three variations: normal concrete (BN), concrete with chilled water and 15% fly ash (BAF), and concrete with 25% fly ash (BF). Temperature was monitored using thermocouples at the core and surface for 14 days, then validated using the Portland Cement Association (PCA) formula. The results indicate that the integration of chilled water with 15% fly ash and the use of 25% fly ash significantly controlled extreme temperature surges at the 5th hour. The combination of chilled water and 15% fly ash produced the lowest core temperature of 37.3°C, far below the control concrete which reached 62.4°C. This proves that the combination of precooling methods and fly ash substitution is effective in reducing the heat of hydration during the early hardening period, although the use of 25% fly ash was found to be more stable in maintaining mass concrete temperature.

Sea Surface Temperature (SST) is an important parameter in oceanographic studies because it influences climate dynamics, ocean circulation, and marine ecosystems. Continuous monitoring of SST in open sea areas requires a reliable system capable of operating autonomously. This study develops a solar-powered ocean buoy designed to measure sea surface temperature while simultaneously evaluating the performance of a solar panel as the main energy source. The system uses a DS18B20 sensor to measure SST and an INA219 sensor to monitor the voltage, current, and power of the solar panel, while an ESP32 microcontroller functions as the central data processing unit. The results show that sea surface temperature tends to remain relatively stable with small daily variations, whereas the temperature and performance of the solar panel exhibit larger fluctuations due to direct exposure to solar radiation and changing weather conditions. Solar panel performance also shows significant variations in current and power depending on the intensity of sunlight. To analyze the influence of SST variations on solar panel performance, a statistical analysis using Analysis of Variance (ANOVA) was conducted. The ANOVA results, based on the calculated F-value and the significance value (p-value) at a confidence level of α = 0.05, indicate that SST variations have a significant effect on solar panel performance, demonstrating that the proposed solar-powered buoy system can operate autonomously and has potential for long-term SST monitoring in offshore areas.

Generators are one of the important auxiliary aircraft needed on ships for power generation. During the operation of a diesel generator, continuous rotation occurs resulting in friction and erosion of the moving parts. The supporting factor for the smooth running of a diesel engine is a lubrication system that is supported by good lubricating oil quality, besides that it also needs to be supported by an adequate and good cooling system. The use of lubricants is one of the most important factors to ensure the performance of diesel engines. The lubricant is in charge of maintaining the condition of the engine so that it remains stable. This study aims to analyze the effect of using lubricating oil beyond the operating hours limit on engine heat. Furthermore, it also discusses steps to ensure diesel engine temperatures remain normal. This research was carried out during the practice of sailing on a ship for approximately one year. This study uses a descriptive quantitative research method. The primary data obtained directly utilizes observation methods, and documentation. Secondary data was obtained from existing articles and journals. The data analysis techniques used are descriptive analysis and inferential analysis. The results of this study show that the working hours of lubricating oil use have a significant influence on the increase in the temperature of diesel generator engines as evidenced by hypothesis tests on two engine units, namely AE1 and AE2. In the AE1 unit, a t-value of 18.467 with a significance of 0.000 was obtained, while in AE2 the t-value was 14.289 with a significance of 0.000. The significance value in both units is less than 0.05 so it can be concluded that the working hours of lubricated oil have a significant influence on the temperature of the genarato diesel engine on the ship.

Studi ini dirancang untuk menginvestigasi pengaruh Suhu Permukaan Laut (SST) dan konsentrasi klorofil-a terhadap variabilitas hasil tangkapan ikan di kawasan Pantai Selatan melalui pendekatan model regresi linear berganda dengan estimasi Ordinary Least Squares (OLS). Pada tahap diagnostik awal, terdeteksi adanya indikasi autokorelasi positif pada residual model (statistik Durbin–Watson = 0,993), suatu kondisi yang berpotensi menginduksi bias pada estimasi standard error sehingga dapat mengkompromikan validitas inferensi statistik. Guna mengantisipasi permasalahan tersebut, dilakukan koreksi menggunakan metode Newey-West Heteroskedasticity and Autocorrelation Consistent (HAC) standard errors yang diimplementasikan melalui komputasi Python. Hasil estimasi pasca-koreksi mengungkapkan bahwa secara simultan, variabel SST dan klorofil-a memberikan pengaruh yang signifikan terhadap keragaman hasil tangkapan ikan, dengan nilai koefisien determinasi (R²) sebesar 23,7%. Berdasarkan uji parsial (uji t terkoreksi), SST menunjukkan pengaruh negatif yang signifikan secara statistik terhadap hasil tangkapan, sementara klorofil-a tidak memperlihatkan pengaruh yang signifikan. Temuan tersebut mengimplikasikan bahwa variabel termal (SST) memiliki kontribusi yang lebih dominan dibandingkan indikator produktivitas primer (klorofil-a) dalam memengaruhi dinamika hasil tangkapan ikan pada wilayah kajian.

The performance of asphalt mixtures is strongly influenced by the composition of their constituent materials, particularly aggregate size and mixing temperature during production. In many tropical and subtropical regions, asphalt pavements frequently experience rutting, reduced stability, and changes in viscoelastic properties due to high environmental temperatures and heavy traffic loads. These conditions can significantly affect pavement durability, making it essential to produce asphalt mixtures that meet established technical standards. This study aims to analyze the effect of variations in aggregate size distribution and mixing temperature on the Marshall characteristics of Asphalt Concrete Wearing Course (AC-WC) mixtures. The research employs the Marshall test method to evaluate the load-bearing capacity and stability of hot asphalt mixtures and to assess their compliance with ASTM/SNI standards. The results indicate that mixtures with standard aggregate gradation achieve stability values of 985 kg at 120°C, 1055 kg at 140°C, and 1107 kg at 160°C. As mixing temperature increases, flow values decrease, while the Marshall Quotient (MQ) increases, indicating improved stiffness. Higher temperatures also enhance compaction, reducing VIM and VMA while increasing VFA. Conversely, non-standard aggregate gradations result in several parameters failing to meet ASTM/SNI requirements, confirming that standard gradation produces superior asphalt performance.

The Low Voltage Main Distribution Panel (LVMDP) is a critical component in industrial power distribution systems, functioning to regulate, control, and distribute electrical energy to various production equipment. During operation, LVMDP panels often operate under high electrical loads, which may lead to temperature increases in their components. Undetected temperature rise can result in performance degradation, equipment failure, and even fire hazards. Therefore, an effective monitoring method is required to detect the condition of electrical components at an early stage. This study aims to analyze the temperature difference (ΔT) of LVMDP components using the Infrared Thermography method as part of predictive maintenance. The research employs a quantitative descriptive approach with data collected through direct observation from July 1 to July 31 at PT. Dongjin Indonesia. The data consist of hotspot and ambient temperatures measured from several panel components, which are then analyzed to calculate the temperature difference (ΔT) as an indicator of component operating conditions. The results indicate that the highest temperature difference is 26.5 °C in the capacitor bank, while the lowest is 4 °C in other components. All ΔT values are below the threshold limit of 50 °C, indicating that the LVMDP components are in safe operating conditions and do not require corrective actions. Thus, Infrared Thermography is proven to be an effective method for early detection of component conditions and can enhance the reliability and safety of industrial power distribution systems.

Whiteleg shrimp (Litopenaeus vannamei) is a leading commodity in aquaculture in Indonesia due to a number of advantages such as disease resistance, rapid growth, high survival rate, and feed conversion efficiency. Whiteleg shrimp contributes significantly to Indonesian fisheries exports, reaching 38.98% in 2021. To meet high market demand, increasing the productivity and quality of whiteleg shrimp is very important, where the quality of the shrimp is influenced by the quality of the fry. Good management, including selecting quality broodstock, proper handling of eggs and nauplii, and maintaining optimal water quality, is very important in producing quality whiteleg shrimp fry. This study aims to determine the effect of temperature on the growth length and life expectancy of whiteleg shrimp nauplii. The study was conducted using a completely randomized design with three different temperature treatments (26°C, 29°C, and 32°C). The whiteleg shrimp nauplii used had an average size of 328.24mm obtained from PT. Delta Windu Purnama Situbondo. The water quality parameters used are Temperature, pH, salinity, and DO. Delta Windu Purnama Situbondo. Data were analyzed using SPSS 16.

Typhoid fever is an infectious disease caused by Salmonella typhi. Transmission can occur through air or food contaminated with the urine and feces of typhoid sufferers, such as air used for drinking, cooking, and washing food. Symptoms of typhoid fever include a prolonged high fever, defined as an elevated body temperature of >37.5°C. Other symptoms can include fatigue, nausea, abdominal pain, constipation or diarrhea, and headache. This study aimed to treat children with typhoid fever. The method used was a case study of a five-year-old child with typhoid fever who was hospitalized for four days. The results showed that the child had fever, obesity, and decreased appetite. The child's problem was hypothermia, while cooling interventions were used to manage hypothermia, and one of the cooling procedures performed was the application of aloe vera compresses. The evaluation results showed that the hyperthermia resolved after four days of hospitalization. Based on this study, it is hoped that patients and their families can independently apply aloe vera compresses to treat hypothermia in children.

Women play a strategic role in sustaining household livelihoods and strengthening local economies in coastal areas. This community service program aims to empower women entrepreneurs through strengthening micro, small, and medium enterprises (MSMEs) based on local wisdom in Desa Kota Pari, Pantai Cermin District. Most women in this coastal village are involved in home-based economic activities such as traditional food processing, fisheries-based products, and small-scale trading. However, limited financial literacy, income management, and market access constrain business development. The program was implemented through observation, counseling, participatory discussions, and evaluation. The results show improved understanding of income management, increased awareness of business sustainability, and strengthened economic roles of women entrepreneurs. This program confirms that empowering women through MSMEs contributes significantly to strengthening local economic resilience in coastal communities. 

Penelitian ini bertujuan untuk menganalisis pengaruh bentuk bukaan terhadap kondisi termal bangunan Masjid Jami Al-Hurriyah di Jakarta Selatan. Penelitian menggunakan metode deskriptif kualitatif dengan dukungan data kuantitatif sebagai data pendukung untuk memperkuat analisis kualitatif, bukan untuk pengujian statistik. Teknik pengumpulan data meliputi observasi lapangan, pengukuran suhu udara menggunakan termometer digital, serta analisis visual terhadap pola aliran udara pada setiap lantai bangunan. Hasil penelitian menunjukkan bahwa: (1) bukaan yang terbatas di lantai dasar menyebabkansirkulasi udara tidak optimal dengan suhu berkisar antara 27,6–29,3°C; (2) penggunaan bukaan lebar berbahan kaca di lantai satu meningkatkan suhu ruang hingga 29,1°C akibat paparan radiasi matahari; dan (3) keberadaan bukaan vertikal berupa skylight di lantai dua mampu menciptakan mekanisme stack ventilation yang lebih efektif dengan suhu ruang berkisar antara 26,8–27,3°C. Meskipun demikian, seluruh lantai bangunan belum memenuhi standar kenyamanan termal berdasarkan SNI, yaitu 22,8–25,8°C. Implikasi dari penelitian ini menekankan pentingnya penerapan strategi desain pasif, seperti optimalisasiventilasi silang, pengendalian radiasi matahari melalui elemen peneduh, serta pemilihan material bangunan yang mampu mengurangi perpindahan panas, guna meningkatkan kenyamanan termal pada bangunan masjid di iklim tropis.

The lompong flower is an ornamental plant that requires stable soil moisture conditions and a stable environment so that it can grow optimally. Moisture level mismatches often hinder growth and even have the potential to cause plant damage. This research aims to design and implement an Internet of Things (IoT)-based humidity monitoring system that is able to monitor the humidity condition of the pond flower in real-time. The system developed uses soil moisture sensors as input devices, microcontrollers as data processors, and internet networks as a medium for sending data to the monitoring platform. The data obtained is displayed directly so that users can know the actual humidity conditions and take appropriate maintenance actions. The results show that the system is able to display moisture data with a good level of accuracy, as well as provide relevant information for users in plant care decision-making. The implementation of this system has proven to be effective in supporting the maintenance of lompong flowers, especially in maintaining soil moisture stability. This research is expected to be a reference for the development of IoT-based ornamental plant monitoring technology, as well as contribute to improving the quality of plant care in a more efficient and measurable manner.

This study aims to analyze the temperature distribution in an LPG-fueled chili drying machine using Computational Fluid Dynamics (CFD) simulation. The simulation was performed using SolidWorks Flow Simulation 2022 to investigate the effect of inlet air temperature and velocity on temperature uniformity inside the drying chamber. Three inlet temperature variations were applied: 60°C, 70°C, and 80°C, combined with two air velocities of 10 m/s and 11 m/s. The results showed that these parameters significantly influence temperature distribution. The optimum condition was achieved at 70°C and 10 m/s with a temperature uniformity efficiency (

This study aims to analyze the temperature distribution in an LPG-fueled chili drying machine using Computational Fluid Dynamics (CFD) simulation. The simulation was performed using SolidWorks Flow Simulation 2022 to investigate the effect of inlet air temperature and velocity on temperature uniformity inside the drying chamber. Three inlet temperature variations were applied: 60°C, 70°C, and 80°C, combined with two air velocities of 10 m/s and 11 m/s. The results showed that these parameters significantly influence temperature distribution. The optimum condition was achieved at 70°C and 10 m/s with a temperature uniformity efficiency (

Mutu dalam pengolahan pangan menjadi hal penting untuk menjamin produk yang aman, higienis, dan berkualitas. Suatu produk dikatakan bermutu apabila mampu memenuhi standar mutu yang telah ditetapkan oleh pihak terkait dalam hal ini adalah Standar Nasional Indonesia (SNI). Penelitian ini dilakukan untuk mengevaluasi kualitas kimia dari produk kupang krispi yang dihasilkan oleh UD. Bunda Foods, dengan menitikberatkan pada tiga parameter utama yaitu kadar air, kadar abu, dan kadar protein. Kupang krispi dipilih sebagai bahan uji karena merupakan inovasi olahan hasil laut yang memiliki nilai gizi tinggi serta daya simpan yang baik, sehingga potensial dijadikan produk camilan unggulan. Metodologi penelitian mengacu pada Standar Nasional Indonesia (SNI) 8272:2016 tentang kerupuk ikan, mengingat belum tersedia standar khusus untuk kupang krispi. Pengujian kadar air menggunakan metode gravimetri, analisis kadar abu dilakukan melalui proses pembakaran pada suhu 550°C, dan pengukuran kadar protein menggunakan metode Kjeldahl. Hasil pengujian menunjukkan bahwa kadar air berada pada rata-rata 6,75%, kadar protein mencapai 19,20%, dan kadar abu sebesar 2,5%. Jika dibandingkan dengan ketentuan dalam SNI, kadar air dan protein telah memenuhi standar mutu yang ditetapkan, namun kadar abu jauh melebihi batas maksimal yang diperbolehkan sebesar 0,2%. Kupang krispi memiliki mutu kimia yang baik dari sisi nutrisi dan ketahanan produk, namun masih diperlukan perbaikan terutama dalam mengendalikan kadar abu yang tinggi. Oleh karena itu, peningkatan sanitasi dalam proses produksi dan pemilihan bahan baku yang lebih bersih menjadi penting agar produk dapat memenuhi standar nasional secara menyeluruh dan mampu bersaing secara optimal di pasar.

The dynamic changes in weather patterns in Jambi City require an accurate temperature prediction system, thus this study aims to compare the performance of Random Forest and Support Vector Regression (SVR) algorithms in predicting daily maximum temperatures using weather data from 2020–2024 obtained from OpenMeteo with the application of Feature Engineering including lag and rolling window features. The test results indicate that the SVR model with a Radial Basis Function (RBF) kernel optimized using Grid Search (C=10, epsilon=0.2, gamma=0.01) significantly outperforms Random Forest based on a statistical Paired T-test (p-value < 0.05), yielding an R-squared (R²) value of 87.46%, Mean Absolute Error (MAE) of 0.3818 °C, and Root Mean Squared Error (RMSE) of 0.4964 °C compared to Random Forest's R² of 84.05%, where the previous day's temperature (lag) and three-day rolling average were identified as the most dominant predictors, leading to the recommendation of SVR as the more effective method for temperature prediction in the study area.

The oil and gas industry plays a crucial role in meeting global energy needs, with crude oil from production wells being the primary product of upstream operations. Prior to further processing, crude oil requires pretreatment at the production site, one of the key stages being phase separation using a flash separator. This study examines the effect of variations in cooling temperature on the performance of liquid phase separation and energy requirements in the flash separation process of light hydrocarbons. The analysis was conducted through process simulation using Aspen HYSYS version 14.2 with the Peng Robinson property package. The feed stream had a mass rate of 10,000 kg per hour, a temperature of 50°F, and atmospheric pressure, with compositions of ethane, propane, isobutane, and normal butane. The process configuration included compression, cooling, and phase separation in a flash separator at a constant pressure of 50 psia. Variations in cooling temperature were applied at 20, 10, and 0°C. The simulation results indicated a thermodynamic critical point at 10°C. At 20°C, no liquid phase was formed, while at 10°C, significant liquid yield was obtained with moderate energy consumption. Lowering the temperature to 0°C dramatically increases liquid recovery, but the cooling energy requirement also increases sharply. Sensitivity analysis confirms a strong inverse relationship between temperature and condensation yield, as well as a surge in energy consumption at low temperatures. The optimal operating condition is set at 10°C, providing a balance between separation efficiency and energy efficiency in accordance with sustainable manufacturing principles.

This study aims to analyze the difficulties experienced by students in understanding abstract concepts in Islamic creed (akidah) and to evaluate the effectiveness of Islamic-based animation learning media as an innovative and interactive solution. The research employs a qualitative Classroom Action Research (CAR) approach, conducted in two learning cycles using observation, interviews, documentation, and questionnaires as data collection techniques. The implementation of Islamic animation learning media demonstrated a significant improvement in students’ conceptual comprehension. The results indicate that the average understanding score increased from 35.25% in the preliminary stage to 89.25% after the final cycle, showing a substantial rise in students’ achievement levels. In addition, students’ enthusiasm, motivation, and active participation in classroom activities increased markedly when learning materials were presented through animated visualization rather than conventional lecture-based instruction. Expert validation confirmed that the developed instructional media meets pedagogical, didactic, and visual quality standards, and responses from teachers and students revealed positive perceptions regarding the relevance and attractiveness of animation-based learning. The findings highlight that Islamic-based animation learning media serves as an effective educational tool capable of simplifying and concretizing abstract theological concepts, enabling learners to construct deeper understanding through visual and contextual illustration.Therefore,the study recommends the broader application of animation-based Islamic instructional media in akidah education to enhance comprehension, engagement, and learning outcomes in schools.