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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.

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.

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.

Inhibitor korosi alami menarik perhatian karena efektivitas biaya, biodegradabilitas, dan sifatnya yang ramah lingkungan. Dalam penelitian ini, ekstrak kulit jeruk madu dievaluasi sebagai inhibitor korosi alami untuk baja karbon dalam larutan HCl 1 M. Pengujian dilakukan menggunakan metode elektrokimia yang meliputi polarisasi potensiodinamik (PDP), spektroskopi impedansi elektrokimia (EIS), dan adsorpsi isotermal, pada suhu 27 °C dengan waktu paparan larutan selama 15 menit. Variasi konsentrasi inhibitor blank, 1000, 2000, dan 3000 ppm digunakan untuk menentukan pengaruh terhadap laju korosi. Hasil menunjukkan bahwa peningkatan konsentrasi inhibitor meningkatkan efisiensi penghambatan dengan nilai tertinggi sebesar 83,39% (PDP) dan 75,41% (EIS) pada konsentrasi 3000 ppm. Mekanisme adsorpsi ekstrak kulit jeruk madu pada permukaan baja karbon mengikuti kombinasi fisisorpsi dan kemisorpsi, membentuk lapisan pelindung yang menghambat reaksi anodik dan katodik. Temuan ini menunjukkan potensi ekstrak kulit jeruk madu sebagai inhibitor korosi yang efisien, murah, dan ramah lingkungan untuk aplikasi industri berbasis logam.

Suhu dan kelembaban merupakan parameter lingkungan yang harus dijaga pada ruang kubikel untuk memastikan peralatan distribusi listrik tetap bekerja secara optimal. Pada multi-kubikel, perbedaan fungsi dan beban menyebabkan karakteristik suhu dan kelembaban pada tiap ruang kubikel tidak sama, sehingga pemantauan secara manual menjadi kurang efektif dan efisien. Penelitian ini bertujuan untuk merancang dan membangun prototype sistem monitoring dan kontrol suhu-kelembaban pada multi-kubikel berbasis Internet of Things (IoT) yang terdiri dari tiga buah kubikel. Sistem ini menggunakan ESP8266 sebagai mikrokontroler utama dan sensor DHT20 sebagai sensor suhu dan kelembaban yang masing-masing dipasang pada kubikel dengan kondisi lingkungan berbeda. Sistem dilengkapi dengan aktuator kipas dan lampu, serta notifikasi real-time melalui LCD dan Telegram. Meskipun kontrol dan monitoring dilakukan secara terpisah pada tiap kubikel, notifikasi kondisi seluruh kubikel terintegrasi pada satu kanal Telegram yang sama. Pengujian kinerja sistem dengan memberikan variasi suhu dan kelembaban yang berbeda untuk tiap kubikel. Kubikel 1 diberi kondisi normal (suhu 35°C-40°C dan kelembaban 50%-70%), kubikel 2 diberi kondisi overheat (suhu di atas 40°C), sedangkan kubikel 3 diberi kondisi overhumidity (kelembaban > 70%). Hasil pengujian menunjukkan sistem mampu melakukan kontrol suhu dan kelembaban dalam ruang multi-kubikel serta mengirimkan notifikasi melalui Telegram dengan tingkat keberhasilan 100% dan rata-rata delay 5,6 detik.

Beton sebagai material utama konstruksi sering mengalami panas hidrasi yang menyebabkan perbedaan suhu permukaan dengan suhu inti, akan berpotensi retak dini dan penurunan kuat tekan. Penelitian ini menganalisis potensi air es dan fly ash 10% substitusi semen untuk memperkecil suhu beton mutu 35 MPa dengan aditif tipe D (retarder) dan F (superplasticizer), serta pengaruhnya terhadap kuat tekan. Metode deskriptif menggunakan data sekunder mix design tiga variasi: non fly ash, fly ash 10% dan fly ash 10%+air es 10°C. Suhu beton segar diukur dengan thermogun/thermometer lalu kuat tekan uji silinder diameter 150x300 mm umur 7 hari dan 28 hari dengan total 18 benda uji. Hasil menunjukkan suhu beton segar non fly ash berada pada rentang normal, beton fly ash 10% turun 1-2°C (reaksi pozzolanik lambat yang mengurangi panas hidrasi dari C2S, C3S, dan C3A), beton fly ash 10% + air es turun 5-6°C. Kuat tekan 7 hari menunjukkan beton non fly ash 33,69 MPa, beton fly ash 10% 34,14 MPa, beton fly ash 10%+air es 34,73 MPa. Pada umur 28 hari menunjukkan beton non fly ash 39,73 MPa, beton fly ash 10% 39,80 MPa, dan beton fly ash 10%+air es 39,65 MPa – semua melebihi mutu rencana.

Penelitian ini mengembangkan sistem pemantauan berbasis Internet of Things (IoT) untuk mengoptimalkan kinerja Mini PC dan pemeliharaan real-time di CV Permata Gemilang Jaya. Metodologi waterfall diterapkan menggunakanNodeMCU sebagai mikrokontroler utama, dilengkapi dengan sensor DHT22, DS18B20, dan INA219 untuk memantau parameter suhu, CPU, dan memori. Arsitektur sistem mengintegrasikan kerangka kerja Laravel dengan database MySQL, menghasilkan aplikasi web responsif dengan kontrol akses berbasisperan untuk Admin Pusat, Admin Regional, dan Teknisi Cabang. Infrastrukturserver cloud dengan konektivitas GSM cadangan memfasilitasi pemantauanterpusat di wilayah Ciayumajakuning. Desain sistem menggunakan Unified Modeling Language (UML) dengan diagram kasus penggunaan dan diagram aktivitas yang komprehensif. Penerapan sistem pemberitahuan otomatisdengan mekanisme peringatan berbasis ambang batas memungkinkan deteksidini anomali perangkat. Antarmuka yang dioptimalkan untuk selulermeningkatkan aksesibilitas teknisi untuk operasi lapangan. Validasi sistemmenunjukkan strategi pemeliharaan preventif yang sukses dalam mengurangiwaktu henti perangkat dan mengoptimalkan efisiensi operasional infrastrukturteknologi informasi.

Abstract Kebakaran merupakan salah satu bencana yang dapat mengancam keselamatan jiwa dan harta benda, khususnya di lingkungan hunian padat seperti rumah kos. Kos Putri Kanaya Projo merupakan salah satu kos putri di Ungaran Timur, Kabupaten Semarang, yang berisiko tinggi mengalami kebakaran akibat kelalaian penghuni dalam penggunaan peralatan listrik maupun kompor gas. Penelitian ini bertujuan untuk merancang dan membangun sistem pendeteksi kebakaran dini berbasis mikrokontroler dengan dukungan teknologi Internet of Things (IoT).  Sistem dikembangkan menggunakan mikrokontroler ESP32 yang terhubung dengan sensor MQ-2 (asap/gas), sensor PIR (api), dan sensor DHT22 (suhu/kelembapan). Output sistem berupa notifikasi peringatan pada aplikasi Blynk, buzzer sebagai alarm suara, serta tampilan informasi melalui LCD. Metode penelitian yang digunakan adalah prototyping dengan tahapan perancangan, implementasi, pengujian, serta penyempurnaan sistem. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi asap, gas, suhu tinggi, dan api dengan akurasi di atas 90% serta memberikan notifikasi peringatan melalui aplikasi Blynk dengan waktu respon kurang dari 10 detik. Dengan demikian, sistem ini efektif sebagai solusi deteksi dini kebakaran pada lingkungan kos sehingga dapat meningkatkan keamanan dan meminimalisir risiko kerugian material maupun korban jiwa

Negative Binomial Regression is a statistical modeling approach used to analyze count data with overdispersion, where the variance exceeds the mean. This study applies the method to examine the influence of weather factors on the daily number of cyclists crossing the Williamsburg Bridge in New York City. The independent variables used in the analysis include maximum temperature, minimum temperature, and precipitation. The dataset was obtained from the NYC Department of Transportation through the Kaggle platform and covers the period from April 1 to April 30, 2016. The analysis began with a Poisson Regression model; however, the presence of overdispersion was identified, indicated by a high AIC value of 8598.19, suggesting that the model was not suitable. The alternative Negative Binomial Regression model was then employed and produced a significantly lower AIC value of 518.77, demonstrating a superior fit. The findings indicate that maximum temperature has a positive effect on the number of cyclists, while precipitation shows a significant negative effect. Conversely, minimum temperature does not exhibit a meaningful influence. These results highlight the importance of considering weather conditions when planning bicycle-based transportation systems and support the development of sustainable mobility strategies in urban environments.

Salah satu bentuk pengolahan limbah menjadi energi yang berasal dari limbah padat perkotaan adalah sampah bahan bakar turunan atau Refuse Derived Fuel (RDF). Terdapat berbagai teknologi pengeringan yang biasanya digunakan untuk pengeringan RDF. Contoh penerapannya adalah oil tube rotary dryer sebagai alternatif dari steam tube rotary dryer karena sejumlah alasan utama. Pertama, penggunaan oil engine sebagai material penghantar panas tidak membutuhkan tekanan tinggi seperti pada steam tube rotary dryer sehingga komposisi desain yang tidak serumit steam tube rotary dryer. Penelitian ini dilakukan untuk mengetahui perancangan dan analisis kekuatan struktur mesin oil tube rotary dryer yang dilakukan melalui software Solidworks. Cara kerja mesin dimulai dari pemanasan thermal oil di unit pemanas hingga mencapai suhu operasi yang diinginkan. Oil panas kemudian disirkulasikan secara tertutup ke dalam tube di dalam drum pengering. Pada saat yang sama, RDF dengan kadar air awal 55% dimasukkan melalui inlet housing ke dalam shell. Suhu yang bekerja pada oil untuk memanaskan sekitar 150°C, jumlah total tube 65 buah berdiameter 1,25 inch, dan panjang pipa 10 m yang tersusun di dalam shell. Hasil analisis struktur mesin oil tube rotary dryer berdasarkan simulasi didapatkan stress (von mises) dengan nilai tertinggi 9,371 × 108 N/m^2. Sedangkan nilai terendah 9,628 × 103 N/m^2. Nilai tertinggi dari hasil simulasi tersebut terjadi pada sudut tajam bagian support roller yang tidak terdapat kontak, sehingga hal ini dapat diabaikan karena merupakan stress singularity. Hasil simulasi displacement  dengan  nilai tertinggi 1,026 × 101 N/m^2. Sedangkan nilai terendah 1,000 × 10-30 N/m^2. Nilai tertinggi dari hasil simulasi tersebut merupakan penerapan dari gaya centrifugal yang terjadi pada drum/shell rotary. Hasil simulasi Safety factor yaitu mengacu pada rata-rata probe result adalah 2,3. Sehingga dari hasil simula

This study aims to analyze the compliance of storage temperatures for fresh and dry food ingredients with food safety standards at Hospital X. The research used a descriptive qualitative–quantitative design with a cross-sectional approach. Data were collected through direct observation, interviews, and documentation at the hospital’s nutrition installation. The results showed that the storage temperature for dry food ingredients ranged from 20°C in the morning to 21.6°C in the afternoon, with an average storage duration of ≤ 1 week. Meanwhile, fresh food ingredients were stored according to their types: staple foods and vegetables in chillers at 8.6°C–9°C, animal-based foods in freezers at -10°C to -9.8°C, plant-based foods and fruits in chillers at 8.6°C–9°C, and seasonings on racks at 20°C–21.6°C. All food materials were stored for no more than one week, as procurement was conducted weekly based on patient numbers and menu cycles. The findings indicate that all storage temperatures complied with the food safety standards set by the Indonesian Ministry of Health and BPOM. Therefore, the food storage system at Hospital X is considered effective, hygienic, and compliant with hospital food safety regulations.

Low Birth Weight (LBW) infants are among the leading causes of neonatal morbidity and mortality in Indonesia. This condition results from the immaturity of organ systems, including thermoregulation, making infants vulnerable to hypothermia. One non-pharmacological intervention to maintain body temperature stability is the nesting technique, which positions the baby in a flexed posture similar to the intrauterine condition using soft rolled cloths as a “nest.” This case study aimed to determine the effect of nesting on body temperature changes in LBW infants in the perinatology room of RSUD Batang. The study used a descriptive case study with a nursing process approach involving five LBW infants (<2500 g, spontaneous breathing). The intervention involved applying nesting for 30 minutes daily over three consecutive days. Body temperature was measured before and after the intervention using a digital thermometer. The results showed an increase in body temperature in all subjects. The average temperature before intervention was 35.9°C and increased to 36.6°C after three days of nesting therapy. This indicates that nesting effectively helps maintain body temperature stability in LBW infants by providing comfort, reducing stress, and conserving body energy. In conclusion, nesting is an effective evidence-based nursing intervention for improving body temperature in LBW infants and is recommended for perinatology care settings.

Fire disasters can occur at any time in residential areas or schools, which are often triggered by electrical short circuits, the use of gas stoves, to minor negligence such as cigarette butts. As a preventive effort of Department of Education of Semarang, this research aims to create a prototype of a microcontroller-based early detection and fire suppression system with C programming. This tool uses NodeMCU as a control center that integrates fire sensors and DHT11 sensors to monitor room temperature in real-time. If the system detects any indication of fire or a significant temperature spike, a buzzer will activate as a warning alarm and the fan will work automatically to assist the initial extinguishing process.

Panel surya merupakan salah satu solusi energi terbarukan yang banyak dikembangkan di Indonesia. Namun, salah satu kendala utama dalam implementasinya adalah penurunan efisiensi akibat peningkatan suhu permukaan panel saat terpapar sinar matahari secara intensif. Penelitian ini bertujuan untuk mengkaji efektivitas sistem pendingin pasif berbasis alumunium fin dalam mengoptimalkan kinerja panel surya. Metode eksperimen digunakan dengan membandingkan dua unit panel surya: satu unit menggunakan sistem pendingin pasif dengan fin alumunium dan satu unit lainnya tanpa sistem pendingin. Parameter yang diamati meliputi suhu permukaan panel, tegangan output, arus, dan efisiensi daya. Hasil penelitian menunjukkan bahwa penggunaan alumunium fin mampu menurunkan suhu rata-rata permukaan panel sebesar 8–10°C dibanding panel tanpa pendingin. Penurunan suhu ini berdampak positif terhadap peningkatan efisiensi panel surya sebesar 12,5%. Alumunium dipilih sebagai material utama karena konduktivitas termalnya yang tinggi serta ringan dan ekonomis. Dengan penerapan sistem ini, diharapkan pemanfaatan panel surya di wilayah tropis seperti Indonesia dapat menjadi lebih optimal tanpa tambahan konsumsi energi. Penelitian ini merekomendasikan penggunaan sistem pendingin pasif sebagai solusi efektif dan berbiaya rendah dalam pengembangan sistem energi surya skala kecil hingga menengah.

Supercapacitor electrode material bassed on Pelepah Enceng Gondok Activated Carbon (KAPEG have been developed for increasing the performance of the supercapacitor application. The activated carbon surface structure and its properties strongly depend on the pyrolysis temperature and the type of activation methods. The bamboo carbon has been fabricated using pyrolysis method. The KAPEG was produced using chemical activation with H3PO4 as activation agent with variation of temperature activation 750oc have been carried out. Characterization of the surface structure (functional groups vibration) of bamboo carbon (CB) pyrolysis and the Pelepah enceng Gonddok activated carbon (KAPEG) were carried out using FTIR. The aim of this research is  to identify the functional groups vibration. he FTIR rssults shows absorption peeaks of functional groups of -OH, C=O, C-O, C-H and C-C vibration. The increasing of wavenumber of absorption peaks of functional groups -OH stretching, C=O stretching and C-H indicate that the functional groups bond for KAPEG samples becomes more stronger than for KPEG sample. The conclusion of this research are: the increasing of wavenumber of absorption peaks for functional groups indicates of more stronger of functional groups bond.

This study aims to investigate the impact of packaging type and storage temperature on the physical, chemical, and sensory properties of chili blocks during storage. Additionally, the study aims to identify the optimal packaging and storage temperature combination, as well as to characterize the quality attributes of chili blocks. The experimental design employed was a Completely Randomized Design (CRD) in a factorial arrangement with two factors: packaging type and storage temperature. In this study, using aluminum foil as primary packaging, PP plastic packaging, and paper as secondary packaging, and 3 treatment storage temperatures, each repeated as many as 3 trials, so that it has 18 experimental units. Data analysis using ANOVA with Duncan's Multiple Range Test (DMRT)at a significant level of 5% using the SPSS18 program. The results showed that secondary packaging types and storage temperatures did not significantly affect physical properties (moisture content) and organoleptic properties (color, aroma, texture), but significantly affected the chemical properties (pH, vitamin C, ash content) and secondary packaging types the good for chili block is alufo + plastic packaging and refrigerator storage temperature (10oC), and good chili block characteristics are: Refrigerator storage (temperature 10oC) with alufo + plastic packaging: lowest physical properties (moisture content) 27.29, chemical properties (lowest pH 5.23, Vitamin C 12.91 and ash content 6.35).

Infusion Device Analyzer is a tool for testing the performance of an infusion pump and Syringe Pump. This tool measures flow and occlusion provided by the infusion pump and syringe pump. So a tool is needed to calibrate the infusion pump and syringe pump according to applicable standards so that swelling does not occur in the patient. The design of this calibration tool can also be used as student learning material so that students can understand and comprehend the working principles of the Infusion Device Analyzer. This tool is made using the Arduino Uno control system and there is an occlusion and flow measurement display along with room temperature and humidity which will be displayed on the Nextiton 4'3 Inch LCD. Accompanied by an optocoupler sensor as a liquid flow detector and an MPX5700AP sensor as a liquid pressure detector which is equipped with a DHT22 sensor as a room temperature and humidity meter. This calibrator tool is also equipped with a solenoid valve to regulate the entry of fluid to be measured between flow or occlusion measurements. The function test results show that the flowrate measurement of 10 is 12ml/h, 50 is 54ml/h, 100 is 105ml/h while the occlusion with a rate of 100 is 2.66 psi and the tolerance value for the parameters is appropriate. Therefore, the tool created is close to the desired plan and can be used as a suitable comparison of whether a Syringe Pump or Infusion Pump tool is suitable after repairs or during maintenance. This tool can also be used in learning for students to understand the parts of the working principle of this tool.

Dengue Hemorrhagic Fever (DHF) is an endemic disease that can cause serious complications due to dehydration and plasma leakage, affecting the body temperature of patients. This study aims to examine the effect of oral fluid therapy on body temperature in pediatric patients with febrile DHF at RSU Comal Baru Pemalang. This study used a quasi-experimental design with a pretest-posttest and control group, involving 30 respondents (15 intervention and 15 control) selected through consecutive sampling based on inclusion and exclusion criteria. Body temperature data were measured using a thermometer before and after the oral fluid therapy, then analyzed using the Wilcoxon Signed Rank Test, Paired t-test, Independent t-test, and Mann-Whitney U Test with a significance level of p<0.05. The results showed that the initial body temperature of both groups was comparable (38.08°C in the intervention group and 38.13°C in the control group; p=0.739). After oral fluid therapy, the body temperature of the intervention group significantly decreased to 36.39°C, while the control group only decreased to 37.56°C, with statistical tests showing a significant difference (p<0.001). This study concludes that oral fluid therapy is effective in reducing body temperature in pediatric patients with DHF and can be recommended as part of supportive nursing management.

Elevated blood pressure can increase intraglomerular pressure in the kidneys, potentially causing nephron damage and leading to proteinuria. In patients with chronic kidney disease (CKD), the use of supra-physiological dialysate temperatures, such as 37ºC, can elevate core body temperature (CBT), trigger vasodilation, and subsequently result in decreased blood pressure during hemodialysis. This study aimed to examine the effect of increased dialysate temperature on intradialytic blood pressure in CKD patients at the Dialysis Unit of RSI Sultan Agung. This research employed a quantitative approach with a pre-experimental one-group pre-test post-test design. The population consisted of 116 CKD patients undergoing hemodialysis. The results indicated that the average systolic blood pressure before the increase in dialysate temperature was 150.87 mmHg, with an average diastolic pressure of 85.37 mmHg. After the temperature increase, the average systolic pressure decreased to 144.00 mmHg, and the diastolic pressure dropped to 77.50 mmHg. Statistical analysis revealed a significant effect of increased dialysate temperature on intradialytic blood pressure, with a p-value of 0.000 (<0.05). These findings highlight the importance of careful regulation of dialysate temperature to enhance both the safety and effectiveness of hemodialysis therapy.

Craniotomy is a medical procedure to open the skull in order to repair and assess damage to the brain, which can cause fever due to thermoregulatory disturbances in the central nervous system. Monitoring the body temperature of post-craniotomy patients is crucial, as hyperthermia can increase the risk of complications. One non-pharmacological therapy to reduce fever is the use of ice gel compresses. This study aims to compare the effect of ice gel compress placement between the chest and armpit on body temperature changes in post-craniotomy patients in the ICU of RSI Sultan Agung Semarang. This research uses a pre-experimental design with a two-group pretest-posttest design, involving 22 respondents selected through total sampling technique. Data were collected using observation sheets, and statistical analysis was performed using the Paired Samples Test. The analysis results showed that the p-value for the chest was 0.867 (p > 0.05) and for the armpit was 0.199 (p > 0.05), indicating no significant difference in body temperature before and after the ice gel compress at both locations in relation to the body temperature changes of post-craniotomy patients. In conclusion, the application of ice gel compresses to the chest and armpit locations did not show a significant effect on reducing body temperature in post-craniotomy patients.