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This study concentrates on the design and construction of a laboratory-scale centrifuge for the separation of gum from crude palm oil (CPO). The extraction of gum from CPO is essential in the palm oil sector to guarantee that the finished product adheres to quality standards and is safe for consumption. We engineered the prototype centrifuge to accommodate six 600-mL bottles and achieve a maximum rotational speed of 1400 rpm. The design procedure utilised Autodesk Inventor software for CAD modelling and computations to ascertain the centrifugal force, power capacity, and shaft diameter. The process of manufacturing entailed cutting and shaping stainless steel into the necessary components, subsequently followed by drilling and milling operations for mounting points and interfaces. We implemented surface treatment to augment corrosion resistance and elevate visual appeal. The assembling procedure encompassed component integration, motor incorporation, and control system configuration. The experimental configuration involved centrifugal testing utilising 600-mL glass bottles with time intervals of 10, 20, 30, and 40 minutes at an average rotational speed of 924 rpm. The experiment showed that the centrifuge worked well to separate the gum and other contaminants from the CPO. The best separation happened after 40 minutes of centrifugation.

Health is a condition where the body system and organs in the body can carry out their respective functions. However, in some cases that occur in Indonesian society, health problems have begun to appear, such as diabetes, malaria, and so on. According to the analysis, the incidence of diabetes continues to increase every year. Furthermore, the plant extract that is used as a source of antioxidants is bamboo shoots. The incidence of malaria resistance has reached >25% so that several drugs such as chloroquine are no longer used as the main drug in cases of malaria. The purpose of writing is to analyze the results of a review of the pharmacological potential of plant extracts that are effective as antidiabetic, antioxidant, and antimalarial supplements. The writing method used in writing this journal is to use a qualitative type. The results of the study are that bamboo leaf extract provides effectiveness as an antioxidant. Furthermore, antidiabetic can be found in the extract of the butterfly pea flower. Then the extract of the moon flower leaf has effectiveness as an antimalarial. The conclusion drawn is that the use of natural plant extracts can be used as antidiabetic, antioxidant, and antimalariall.

This research aims to automate the process of extracting information from financial transaction receipts using Optical Character Recognition (OCR) algorithm. The OCR algorithm is used to recognize characters from digital images of transaction receipts so that information such as date, transaction amount, and other details can be accurately identified. By applying image processing methods, this research successfully demonstrates the effectiveness of the OCR system in overcoming challenges such as varying receipt print quality. This research also offers practical solutions in the form of OCR-based applications that can be used in business environments to improve the efficiency and accuracy of financial transaction data management.

The purpose of this study is to determine the effects of cash holding, corporate governance, profitability, and leverage on a company's value. In this study, quantitative methods are used. An industrial sector business that was listed on the Indonesian stock exchange between 2020 and 2022 serves as the sample. 126 samples were obtained by applying the purposive sample method to data extracted from the financial accounts. Data analysis techniques include double linear regression analysis and hypothesis testing (t-testing). The findings indicate that the following factors raise a company's value: cash holding, corporate governance, profitability, and leverage.

Introducing alphabetical sign language is necessary to bridge communication between deaf and hard-of-hearing people and their surrounding environment. This research aims to develop a sign language alphabet letter detection system based on American Sign Language (ASL). The research methods include data collection, feature extraction with OpenCV and Mediapipe, model development with Random Forest algorithm, and real-time system testing. The test results show that the developed system can achieve 97% prediction accuracy in recognizing hand patterns that represent ASL letters. The system uses a webcam as real-time input, providing accurate responses in various environmental conditions. This research contributes significantly to developing communication support technology for the deaf community, with implications for increased inclusivity and social engagement.

Sentiment Analysis is a technique for extracting text data to obtain information about positive, neutral or negative sentiments. The purpose of sentiment analysis is given by internet users on social media to provide a personal assessment or opinion. Paga Lewu Shop that often gets user sentiment through social media is Paga Lewu Shop. The existence of consumer opinion sentiments about Paga Lewu Shop can be analyzed and utilized to obtain useful information for other customers and the Paga Lewu Shop. By using the Text Mining technique classification method, a sentiment will be known as positive, neutral or negative. One of the algorithms widely used in sentiment analysis is the Naïve Bayes classification method. This study uses the Naïve Bayes Classifier (NBC) method with tf-idf weighting accompanied by the addition of an emotion icon conversion feature (emoticon) to determine the existing sentiment class from tweets about the Paga Lewu Shop. The results of the study show that the Naïve Bayes method without additional features is able to classify sentiment with an accuracy value of 96.44%, while if the tf-idf weighting feature is added along with the conversion of emotion icons, the accuracy value can be increased to 98%.

Previous studies have shown that red ginger has the potential to treat PCOS because it has been proven to be able to reduce serum FSH, LH and estradiol and testosterone, inhibit the cyclooxygenase pathway, change the pituitary axis, inhibit lipoxygenase expression in various animal studies. The purpose of this study is to prove the potential of red ginger extract as a regulator of anti-androgenic, ovulation, estrogenic activity and reduce insulin resistance. The research design used was for experimental research using a post-test-only control group design. And for the analysis of the potential bioactivity of red ginger extract as an immunomodulatory agent computationally (Insilico). Animal care was carried out in the Pharmacology and Biomedicine Laboratory and has received approval from the Ethics Committee. The sample used was a female Wistar rat on the 56th day of the experiment (after modeling). All treatments were given orally for 28 times. Independent variable = Red ginger extract. Dependent variable = Dependent variables are 1. Hormones: Testosterone, LH, FSH 2. ovarian inflammation activation (PPARγ activation and anti-inflammatory cytokines IL-4 and ROS, NFKB, TNF a. 3. Insulin resistance (insulin, glucose, HOMA IR) and 4 Lipid profile (TG, HDL, LDL, cholesterol). Control variables are: 1) Gender; 2) Age; 3) Strain; 4) Food and beverage intake; 5) Maintenance and care. Quantitative and qualitative research data. using parametric tests, namely One-Way ANOVA after meeting the requirements for normal data distribution and the same data variance. The One-Way ANOVA statistical test is continued with the Tuckey test to determine the differences in each group.

Enhanced oil recovery (EOR) is the recovery of oil remaining in a reservoir after primary and secondary recovery methods because it has been exhausted or is no longer economical, using thermal, chemical or mixed gas processes. Most conventional methods are not suitable for extracting oil from high temperature and high pressure (HTHP) reservoirs due to chemical degradation in the environment. Alternatively, electromagnetic (EM) energy is used as a thermal method to reduce oil viscosity in reservoirs, thereby increasing oil production. The application of nanotechnology in EOR is also investigated. In this study, we investigate a non-invasive method by injecting dielectric nanofluids into an oil reservoir simultaneously with electromagnetic irradiation, with the aim of increasing oil production by causing disruption at the oil-water interface. During core displacement tests, ZnO and Al2O3 nanofluids were shown to obtain higher amounts of residual oil than commercial sodium dodecyl sulfate (SDS) surfactant without EM irradiation. With EM irradiation, more residual oil is obtained compared to without irradiation. It has also been shown that changing the viscosity of dielectric nanofluids during electromagnetic irradiation increases sweep efficiency, resulting in higher oil recovery.

Computer vision technology has advanced rapidly and made significant contributions across various fields, including object identification in images. This study aims to develop a computer vision-based system to identify fruit types from images. A machine learning model is applied using a dataset of fruit images to train the system for accurate fruit recognition. The primary processes include data acquisition, image preprocessing, feature extraction, model training, and performance evaluation. The results demonstrate a high level of accuracy in identifying specific fruit types, showcasing the potential of this technology in agricultural and commercial applications.

The aim of this study was to test the effectiveness of aloe vera gel extract (Aloe Vera) against the Propinibacterium acnes bacteria, which is the main cause of acne on human skin. Aloe vera is known by the scientific name Aloe Vera L. and has long been used by people as an ingredient in cosmetics, skin care, wound healing and hair fertilizer. The methods used in this literature review include sampling aloe vera gel extract, testing antibacterial activity against Propionibacterium acnes bacteria, and data analysis to determine the effectiveness of the extract. Although there are differences in testing methods and concentrations used, most studies show this extract is effective in inhibiting Propionibacterium acnes bacteria. The conclusion of this review provides a safer alternative for treating acne using herbal products compared to using antibiotics.

Poverty is one of the main issues in Indonesia although many policies have been implemented by the government to overcome this problem. With this problem, a study was conducted which aims to identify factors that affect poverty in East Java in 2023 using the principal component analysis (PCA) method. PCA is a multivariate analysis technique used to extract information from correlated data, so as to summarize several variables into principal components. In this study, the variables used include the number of poor people, percentage of poor people, poverty severity index, open unemployment rate, labor force participation rate, and life expectancy from 38 districts/cities in East Java. It was found that the data characteristics had low variance with the exception of one variable, and met the assumptions of multivariate normal distribution, interrelationship between variables, data sufficiency, and correlation between variables suitable for PCA. Factor analysis with PCA produces two main components, namely community living conditions and labor conditions, which can represent the original variables in their influence on poverty in East Java. Suggestions from this study are expected to be a reference for policy makers in improving community welfare and labor conditions in East Java. Future research is expected to add related variables to obtain more detailed results.

In Jambi, research has been conducted on candlenut seed extract which has been proven to be of high quality and has been widely marketed throughout Indonesia. The purpose of this study was to evaluate the effectiveness of candlenut seed extract (Aurites moluccana L.) on various hair problems such as graying and hair loss. This study is a literature study that uses data collection methods from library sources. Secondary data is compiled and analyzed to reach conclusions regarding the topic studied. Candlenut plants (Aleurites moluccana L.) have the potential as hair fertilizers and health care, thanks to the content of saponins, flavonoids, and polyphenols found in seeds, leaves, and roots. The Dayak ethnic group uses burned candlenut fruit for hair care. In addition, candlenuts also function as a medicine for flu and colds, and have anticancer properties. The conclusion of this review is to support the potential of candlenut seed extract as a solution to hair problems However, further research is needed to understand how the active ingredients involved work and to standardize testing methods to ensure the clinical application of the extract's efficacy.

Yangko cake is a semi-wet food made from glutinous rice flour with the addition of a sugar solution. In order to improve the characteristics of the yangko cake, an ingredient is added, namely kidney bean flour and cinnamon extract. Kidney beans are one type of legume that has a high protein source so it can add nutritional value to food products. Kidney bean has an unpleasant taste, therefore it needs to be balanced with the addition of cinnamon extract, which is expected to reduce the unpleasant flavor of the yangko cake which consumers preferred. The experimental design used is a CRD, with the first factor being the ratio of glutinous rice flour and kidney bean flour with a ratio of 90:10, 80:20, and 70:30. The addition of cinnamon extract in various amounts (2 ml, 4 ml, and 6 ml) was the second element. The inclusion of substitute glutinous rice flour and kidney bean flour, coupled with the variation of cinnamon extract produced yangko cake with 3,80% fiber content and 5,76% protein content.  Chemically, physically and organoleptically, the best product from several formulations of the yangko cake was with 70:30 of glutinous rice flour to kidney bean flour and 6 ml of cinnamon extract, with 47.98% water content, 0.66% as content, 31,36% total sugar content and with a hardness of 28.82 N, a gumminess of 4.92 N, a chewiness of 2.28 N then a cohesiveness of 0.64 Ns.  The organoleptic characteristic of the yangko cake was the most preferred by the panelists, with a value of 3,76 (preferred). The yangko cake substitusion of glutinous rice flour and kidney beans with the addition of cinnamon extract is a food ingredient  that has quite high protein and fiber.

Dried noodles made from egg and flour that have round and long shape. In this research, dried noodles were made differently in general because of using taro flour and kale leaves extract as a raw material. Taro flour is a gluten free flour that is rich in fiber. Kale (Brassica oleracea var. sabellica) is superfood which have high quantity of antioxidants like vitamin C and flavonoids. This research aimed to determine physicochemical and organoleptics characteristic of dried noodles of taro flour with addition of kale leaves extract. The observation used a two-factors factorial Completely Randomized Design (CRD) were the ratio of taro flour : wheat flour (85:15, 75:25, 65:35g) and the concentration of kale leaves extract (1:10, 2:10, 3:10 ml) with two-replication. The best results showed that the combination of 65:35 taro flour : wheat flour with addition of 3:10 kale leaves extract was based on high antioxidant activity. The results of this combination showed moisture content 5,42%, ash 2,74%, fiber 7,43%, protein 7,56%, antioxidant activity 13,71%, flavonoid total 1,36 mgQE/g, vitamin C 30,8%, color L* 78,72, color a* -1,78, color b* 18,11, hardness 13,84 N, chewiness 13,29 N, aroma 3,36 and kale taste 3,12. Based on the observation, dried noodles of taro flour with kale leaf extract influenced all physicochemical and organoleptic test results.

Red roses (Rosa damascena Mill) are a type of rose with a distinct aroma and a deep red color. Roses are usually used as decoration, but it also has health benefits. Roses have bioactive compounds and anthocyanin pigments that act as antioxidants. The expected outcome of this research is to produce rose water products that have a strong aroma and have high antioxidant activity. This study used a factorial Completely Randomized Block Design (RAKL) method. The factor used is the variation of the distillation method. While the length of the extraction process was used as the sampling time. The correct distillation method to produce rose water which has high antioxidant activity is treatment with variations of the steam distillation method. The steam distillation method obtained the following results: pH 4.07, vitamin C content 40.70 mg/100g, total phenol content 47.10 mg GAE/g, antioxidant activity of DPPH 64.20%, FRAP value 98.97% and sensory test (scent) 3.34.

Velva, a kind of frozen dessert, made from fruit that contains nutrients and help the body's metabolic processes as a source of energy. Red dragon fruit (Hylocereus polyrhizus) is used in the production of velva in order to get a good color and Moringa to increase antioxidant activity.  The purpose of this study was to determine the appropriate substitution ratio between velva, dragon fruit, moringa leaf extract, and stabilizer to produce dragon fruit velva with good characteristics, namely high antioxidant and preferred by consumers.  This study used a factorial completely randomized design (CRD).  The factors used were the concentration of Moringa leaves (8, 10, 12 g) and the concentration of the type of stabilizer (CMC 1,26%, cornstarch 1,26%, carrageenan 1,26%).  The best chemical analysis was treatment concentration of carrageenan stabilizer 1,26% with the addition of 8 g Moringa leaf extract with antioxidant activity 16,85%, crude fiber 0.63%, vitamin C 4,33%, reducing sugar 11,83%, total phenolic 13,93mg.GAE/ml and pH 3,5.  Physical analysis with melting power 47.00 minutes/hour, overrun 13,00%, TPT 4˚Brix and TAT 1.14%.  The results of the red dragon fruit velva sensory test with various types of stabilizers and the addition of Moringa leaves, as well as the combination of treatments between the two had no significant effect on color, texture, taste, aroma and overall preference.  The best organoleptic analysis was the P3K1 treatment (concentration of carrageenan stabilizer 1,26% with the addition of 8 g Moringa leaf extract) with a color value of 3.06, taste 2.57, aroma 2.78, texture 3.50 and overall preference 3,42.

Sijukkot plants grow widely in the highlands of Lake Toba, the largest volcanic lake in the world. This plant, with the Latin name Lactuca indica L., grows abundantly in Dairi, Pakpak Bharat, Samosir and Humbang Hasundutan districts. Sijukkot has been proven to have made people in the Lake Toba area less susceptible to disease. Sijukkot contains many high chemical compounds in the roots, stems and leaves. For example glycosides, cardeolin, polyphenols, saponins, cardenolin, polyphenols, flavonoids and tannins. ( Molecular Docking ) is one of the simplest and most frequently used structure-activity based virtual methods. The purpose of this journal review is to determine the secondary metabolite compounds contained in the medicinal plant sijukkot to be developed as a fever reducer The research method used is a library study and literature review with the keywords molecular docking of secondary metabolite compounds of sijukkot as a medicinal plant to reduce fever, in the period 2020-2022. The results obtained were 5 secondary metabolite compounds which have potential as fever reducers and antioxidants. The conclusion is that ethanol extract and sijukkot leaves have high levels of phytochemicals which are good as formulations for fever medicine, antioxidant, antibacterial and can reduce sugar levels

Velva is frozen food product has low fat and made from crushed fruit or vegetables that has a similar texture like ice cream. Sweet potatoes used as a raw material it is an innovation of food processing to increase economic value. The addition of kecombrang extract creates a new taste and has a lot of nutritional content such us high antioxidant. The research of objective is to determine the characteristic of velva varietas of sweet potatoes and addition of kecombrang flower extract based on longest melting power and highest total dissolved solids. The research using completely randomized with 2 factorial. First factor is type of sweet potatoes ( white, orange, purple) and second factor is addition of kecombrang flower extract (5%, 10% and 15%). The results of chemical (moisture content, antioxidant activity) and physical parameters (overrun, melting time and total dissolved solids) based on longest melting power and highest total dissolved solids formulation is purple sweet potatoes and 15% kecombrang extract is water content 67,37%, antioxidant 74,24%, overrun 22,18%, melting time 18,54 minutes, total dissolved solids 25,7oBrix. Based on the most preferred organoleptic paramaters is purple sweet potatoes and 5% kecombrang extract is water content 69,09%, antioxidant 66,41%, overrun 23,79%, melting time 17,28 minutes, total dissolved solids 23,6oBrix

This study presents an advanced approach to multi-class skin lesion classification by leveraging an ensemble model comprising the Inception-V3, ResNet-50, and VGG16 architectures. The classification task focuses on categorizing skin lesions into distinct classes, including Melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC), using the ISIC dataset, a comprehensive collection of dermoscopic images. In order to properly balance the dataset, the oversampling strategy is utilized, as some lesion types are underrepresented due to inherent imbalances in the dataset. By ensuring that the model is trained on a more representative dataset, this balancing improves the algorithm's capacity to categorize all lesion types properly and impartially. By combining the complementary features of ResNet-50, Inception-V3, and VGG16, the ensemble technique improves the overall classification performance. ResNet-50 is chosen for its deep feature extraction capabilities, which help capture fine details in lesion patterns. Inception-V3 is selected for its multi-scale processing, allowing it to effectively analyze lesions at varying resolutions and sizes. VGG16 is included due to its simple yet highly effective architecture for image classification tasks. The ensemble model with data augmentation significantly outperforms individual models in skin lesion classification for both the original and balanced ISIC datasets regarding accuracy, precision, recall, and F1-score. This method offers a robust solution for skin lesion classification, contributing to more accurate and reliable diagnostic tools in dermatology.

Geographic Information Systems (GIS) have become essential technological tools for collecting, storing, processing, analyzing, and visualizing spatial data to support various human activities. The rapid advancement of information technology has significantly expanded the use of GIS, particularly through web-based platforms and mobile applications, enabling wider accessibility and real-time data utilization. This study focuses on analyzing the utilization of GIS applications and websites across multiple sectors and their contributions to improving efficiency, accuracy, and decision-making processes in daily life. The main objective of this research is to identify, evaluate, and synthesize recent developments in GIS implementation through a systematic literature review. Scientific articles were collected from reputable international and national journals published within the last five years (2018–2022). A total of 130 international journals and 100 national journals were initially identified through database searches. After applying relevance screening and inclusion criteria, 33 selected articles were analyzed in depth to extract key findings, application trends, and potential research gaps. The results show that GIS applications and web-based systems play a vital role in supporting various sectors. In education, GIS facilitates spatial mapping for industrial internship placement (PRAKERIN) and school zoning management. In healthcare, GIS assists in mapping healthcare facilities, including pharmacies and hospitals, to improve service accessibility. In transportation, GIS-based systems provide route planning, traffic monitoring, and public transport information to enhance mobility and reduce congestion. GIS applications are also increasingly applied in environmental monitoring, disaster management, urban planning, and natural resource management. Overall, this study emphasizes the growing importance of GIS technologies as strategic tools for data-driven decision-making and sustainable development. The findings are expected to provide valuable insights for researchers, practitioners, and policymakers in optimizing GIS-based solutions to improve public services and quality of life.