bluuebunny/crossref_metadata_2025 huggingface dataset:
Kmeans-SMOTE Integration for Handling Imbalance Data in Classifying Financial Distress Companies using SVM and Naïve Bayes
Authors: Maulana Didit Johar , Siti Saadah  , Prasti Eko Yunanto
Published: April 2024

Imbalanced data presents significant challenges in machine learning, leading to biased classification outcomes that favor the majority class. This issue is especially pronounced in the classification of financial distress, where data imbalance is common due to the scarcity of such instances in real-world datasets. This study aims to mitigate data imbalance in financial distress companies using the Kmeans-SMOTE method by combining Kmeans clustering and the synthetic minority oversampling technique (SMOTE). Various classification approaches, including Nave Bayes and support vector machine (SVM), are implemented on a Kaggle financial distress data set to evaluate the effectiveness of Kmeans-SMOTE. Experimental results show that SVM outperforms Nave Bayes with impressive accuracy (99.1%), f1-score (99.1%), area under precision recall (AUPRC) (99.1%), and geometric mean (Gmean) (98.1%). On the basis of these results, Kmeans-SMOTE can balance the data effectively, leading to a quite significant improvement in performance.
Monitoring and Controlling System for Mango Logistics Based on Machine Learning
Authors: Hardyansyah Buyung , Heru Sukoco  , Sony Hartono Wijaya
Published: April 2024

Fruits are highly perishable goods, which means that they have a short shelf life and can pose significant challenges in trade. A lengthy supply chain can trigger the process of fruit spoilage. The logistics environment, both internal and external, can also affect the decline in the quality of goods. One common issue faced by producers is the variability in consumer demand for fruit quality. To address this problem, a machine learning-based logistics monitoring and recommendation system can be developed, utilizing the Long Short-Term Memory (LSTM) and Decision Tree algorithms. By utilizing machine learning algorithms, the system can analyze data from the Internet of Things (IoT) device-equipped sensors, such as temperature sensors and humidity sensors to identify potential issues in the supply chain and provide recommendations for optimizing logistics operations. In this study, a machine learning-based monitoring system is developed for monitoring the shelf-life of perishable goods, with a specific focus on mango fruit. The system utilizes LSTM for predicting mango ripeness and decision tree algorithms for recommending fruit ripeness. The objective is to provide producers with recommendations that optimize the logistics process for high-quality mangoes and fulfil consumer demands for fruit quality. The implementation of a logistics monitoring and recommendation system based on machine learning can provide significant benefits for mango producers. By leveraging advanced technologies such as LSTM and Decision Tree algorithms, producers can optimize their logistics operations, improve fruit quality, reduce waste, and enhance customer satisfaction.
MRI Image Based Alzheimer’s Disease Classification Using Convolutional Neural Network: EfficientNet Architecture
Authors: Ujilast Novia Adelia , Firdausita Nuris Sabila , Aditya Christian Sri Kusuma , Azhar Yufis
Published: April 2024

Alzheimer's disease is a neurodegenerative disorder or a condition characterized by degeneration and damage to the nervous system. This leads to a decline in cognitive abilities such as memory, thinking, and focus, which can impact daily activities. In the medical field, a technology called Magnetic Resonance Imaging (MRI) can be used for the initial diagnosis of Alzheimer's disease through image procedures-based recognition methods. The development of this detection system aims to assist medical professionals, including doctors and radiologists, in diagnosing, treating, and monitoring patients with Alzheimer's disease. This study also aims to classify different types of Alzheimer's disease into four distinct classes using the convolutional neural network method with the EfficientNet-B0 and EfficientNet-B3 architectures. This study used 6400 images that encompass four classes, namely mild demented, moderate demented, non-demented, and very mild demented. After conducting testing for both scenarios, the exactness outcomes for scenario 1 utilizing EfficientNet-B0 reveryed 96.00%, and for scenario 2 utilizing EfficientNet-B3, the exactness was 97.00%.
Cattle Weight Estimation Using Linear Regression and Random Forest Regressor
Authors: Anjar Setiawan  , Ema Utami  , Dhani Ariatmanto
Published: April 2024

The global cattle farming industry has benefits as a food source, livelihood, economic contribution, land environmental restoration, and energy source. The importance of predicting cow weight for farmers is to monitor animal development. Meanwhile, for traders, knowing the animal's weight makes it easier to calculate the price of the animal meat they buy. The authors propose estimating cattle weighting linear regression and random forest regression. Linear regression can interpret the linear relationship between dependent and independent variables, and random forest regression can generalize the data well. The data set used in this study consisted of ten variables: live body weight, withers height, sacrum height, chest depth, chest width, maclocks width, hip joint width, oblique body length, oblique back length and chest circumference. Find the model that produces the smallest MAE value. The results show that the linear regression algorithm can produce estimated weight values for cattle with the best performance. This model produces a mean absolute error (MAE) of 0.35 kg, a mean absolute percentage error (MAPE) of 0.07%, a root mean square error (RMSE) of 0.5 kg, and an R² of 0.99. Each variable has excellent correlation performance results and contributes to computer vision and machine learning.
Analysis and Development of Eight Deep Learning Architectures for the Classification of Mushrooms
Authors: Lia Farokhah  , Suastika Yulia Riska
Published: April 2024

One food item that is easy to find in nature is the mushroom. In terms of form and characteristics, mushrooms are similar. Arranging mushrooms into groups so that poisonous and non-poisonous ones can be separated is important. Real-time analysis of mushrooms is still not used very often. Previous studies focused primarily on performance and accuracy, ignoring architectural computing and a significant amount of data preprocessing. The data set used is more laboratory-conditioned. This will impede the process of widespread implementation. The study suggests changes to eight current architectures: Modified DenseNet201, DenseNet121, VGG16, VGG19, ResNet50, InceptionNetV3, MobileNet, and EfficientNet B1. The development of this architecture took place within the areas of classification and hyperparameter learning. In contrast to the other eight architectures, the MobileNet architecture exhibits the lowest computational performance and highest accuracy, according to the comparison results. When the confusion matrix is used for evaluation, an accuracy of 82.7% is achieved. Modified MobileNet has the best speed because it keeps a lower computation architecture and cuts down on unnecessary preprocessing. This means that many people can use smartphones with more realistic data conditions to make it work.
Predicting Smart Office Electricity Consumption in Response to Weather Conditions Using Deep Learning
Authors: Wahyuzi Zikri , Ahmad Luthfi  , Dhomas Hatta Fudholi
Published: April 2024

This study investigates the intricate relationship between electricity consumption in smart office environments, temporal elements such as time, and external factors such as weather conditions. Leveraging a dataset that includes electrical consumption statistics, temporal data, and weather conditions, the research employs preprocessing, visualization, and feature engineering techniques. The predictive model for electric energy usage is constructed using deep learning architectures, including long short-term memory (LSTM), bidirectional long short-term memory (Bi-LSTM), gated recurrent unit (GRU), and bidirectional gated recurrent unit (Bi-GRU). Evaluation metrics reveal that the LSTM model outperforms others, achieving minimal Mean Squared Error (MSE), Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). The study acknowledges the limitations of the dataset, particularly in comparing electricity usage during work hours and outside work hours in a residential context. Future research aims to address these limitations, considering detailed meteorological data, missing data imputation, and real-time applications for greater applicability. The ultimate goal is to develop a predictive model that serves as a valuable tool to improve energy management in smart office settings, optimize electricity usage, and contribute to long-term company profitability.
Rotation Double Random Forest Algorithm to Predict The Food Insecurity Status of Households
Authors: Rais  , Agus Mohamad Soleh  , Budi Susetyo
Published: April 2024

The ensemble tree method has been proven to handle classification problems well. The strength of the ensemble tree technique lies in the diversity and independence between each tree. Increasing the diversity of mutually independent decision trees improves the performance of the model. Various studies propose the development of ensemble tree-based models by forming algorithms that create decision trees that are formed independently of each other and have various inputs. These include random forest (RF), rotation forest (RoF), double random forest (DRF), and the latest is rotation double random forest (RoDRF). RoDRF rotates or transforms data with the intent of producing better diversity among the learning base. RoDRF applies the concept of variable rotation to trees based on the DRF algorithm. Random rotations or transformations on different feature subspaces produce different projections, leading to better generalization or prediction performance. This research aims to compare the performance of RoDRF with the RF, RoF, and DRF models on unbalanced data in cases of food insecurity. Class imbalance will be handled with two methods, namely EasyEnsemble and SMOTE-NC. The research results show that the DRF's model with EasyEnsemble techniques produces a model with the best performance among several algorithms tested. Although the resulting precision is 0.62274 and the AUC value is 0.68501, the model can predict each class equally. All algorithms with EasyEnsemble treatment have average AUC values significantly different from each other based on statistical test results. This research also used SHAP to explain variables that significantly contribute to the household's food insecurity status model.
A Comparative Study of HTTP and MQTT for IoT Applications in Hydroponics
Authors: Nugraha Irvan Rizki , Putra Widhy Hayuhardhika Nugraha , Setiawan Eko
Published: April 2024

Hydroponics is based on nutrients in water. It must be regularly monitored to prevent plant defects. The Internet of Things has become a solution for remote hydroponic monitoring and is currently being tested on Kelompok Wanita Tani (KWT) Yuan Hidroponik. This system will send data every minute, and each data has a possibility of loss in transmission. There is a chance that this system will be implemented in other hydroponic organizations. As more devices are involved, it will impact server resources. This research will compare message queue telemetry transport (MQTT) and hypertext transfer protocol (HTTP) as popular protocols used in IoT. A test with increasing clients shows that at 50 clients HTTP needs 87% CPU while MQTT needs 22.63% CPU. A test with increasing payload shows that at 10,000 payload HTTP needs 94% CPU while MQTT needs 28.35% CPU. A test with fixed clients and payloads shows that HTTP has a CPU limit based on the clients involved. A transfer time test shows that HTTP needs 177.344 seconds, while MQTT needs 3.24 seconds. An acceptance rate is calculated by incrementing the count for every incoming payload. It shows that HTTP can receive 30,000 payloads, unlike MQTT which can only receive 1680 payloads before losses.
Convolutional Neural Networks for Classification Motives and the Effect of Image Dimensions
Authors: Siti Aisyah  , Rini Astuti  , Fadhil M Basysyar  , Odi Nurdiawan  , Irfan Ali
Published: April 2024

Although Indonesian batik patterns vary by location, they usually depict local customs and cultures. Each batik has a unique quality, and to correctly identify the batik designs, you need to understand the design patterns. However, many people struggle to identify and categorize these types of motivations because they do not have the necessary knowledge, understanding, or access to sufficient information. This study used photo data to classify batik patterns into 15 different groups. Batik Kawung, Megamendung, Lasem, Pole, Machete, Gills, Nutmeg, Karaswasih, Cendrawasih, Geblek Renteng, Bali, Betawi and Dayak are all included in this category. 1,350 images were used in the investigation. Google supports data collection. To provide the highest level of precision and to evaluate how image dimensions affect the classification of batik designs, this study uses convolutional neural networks (CNNs). The results of this study show that multilayer perceptron (MLP) is a well-liked deep learning method for data classification, especially in domains where picture classification is involved. The size of the images utilized affects the accuracy of the convolutional neural network (CNN) algorithms. The results showed that the testing using comparisons of 60%, 30% and 10% training data resulted in a 01.89% loss reduction of 1.89% and a 100% improvement in accuracy
Mapping Residential Land Suitability Using a WEB-GIS-Based Multi-Criteria Spatial Analysis Approach: Integration of AHP and WPM Methods
Authors: Anik Vega Vitianingsih  , Ullum Choirul , Maukar Anastasia Lidya , Yasin Verdi , Wati Seftin Fitri Ana
Published: April 2024

Along with the rise in population and the acceleration of economic expansion, there has been a concomitant rise in the urgent requirement for additional property that can serve as a venue for a wide variety of community activities. It is not uncommon for large cities that are the epicenter of urbanization, such as the city of Surabaya, to experience a sharp uptick in the demand for land. One of the regions that has excellent accessibility is the Sidoarjo Regency, which is comparable to the City of Surabaya in this regard. The goal of this research is to use Web-GIS to conduct an analysis of spatial data in order to identify the land functions that are most suitable for use in residential areas. The Analytic Hierarchy Process (AHP) and the Weighted Product Model (WPM) are two of the methodologies that are included in the spatial data modeling method that uses multi-criteria decision making (MCDM). The characteristics parameters that are employed are derived from data such as the distance to the city center, the distance to the market, the distance to the hospital, the distance to public transit, the slope, the kind of soil, and the amount of rainfall. The outcomes of spatial data modeling categorize the suitability of new residential land into categories of land that is not suitable for residential use and land that is acceptable for residential use. A K value of 0.27 is the outcome of the comparison test that was run between the two MCDM approaches using Cohen's Kappa coefficients.
Comparison of Genetic Algorithm and Recursive Feature Elimination on High Dimensional Data
Authors: Pristyanto Yoga , Wirantanu Dipa
Published: April 2024

The use of big data in companies is currently used in file processing. With large capacity files, it can affect the performance in terms of time in the company, so to overcome the problem of high-dimensional data, feature selection is used in selecting the number of features. On the WDC dataset with 30 features and 569 data points, feature selection is performed using the Recusive Feature Elimination (RFE) and Genetic Algorithm (GA) models. Then a comparison of evaluation values is made to determine which feature selection is best for solving the problem. From the 14 tables of evaluation results and discussion in tables 1 to 14, it is found that in the evaluation of accuracy and the use of weighted macros on precision, recall, and f1 score, using GA selection features has slightly higher results than RFE, so it is concluded that GA selection features are better at solving problems in high-dimensional data.
As Escolas Técnicas de Saúde como Elementos Fundamentais para a Prevenção e Mitigação da Judicialização em Saúde
Authors: Alochio Luiz Henrique Antunes
Published: April 2024

Avalia a realidade das Escolas Técnicas de Saúde (ETSUS) e sugere a atuação destas importantes escolas de forma mais ampla. Não é sugerido que as ETSUS escapem de suas funções primordiais. A pretensão do texto é compreender que cada ETSUS, com a credibilidade que construíram ao longo dos anos, podem contribuir para auxiliar na formação dos servidores municipais envolvidos na judicialização. Num primeiro momento os Procuradores Municipais e os profissionais das secretarias municipais de saúde e assistência social. Posteriormente, até mesmo, oferecendo formação adicional sobre o SUS para os Tribunais de Justiça dos Estados, para os novos juízes e juízas recém empossados, ou para os que já esteja em atuação, sem custos para o Tribunal.
A Moradia Como Direito Subjetivo na Espanha
Authors: Gaio Daniel
Published: April 2024

Este artigo tem por objetivo analisar a configuração da moradia como direito subjetivo na Espanha, e, incidentalmente, realizar breves comentários acerca da realidade brasileira. Adota-se como ponto de partida a conformação constitucional do direito à moradia adequada, para em seguida examinar a literatura jurídica e as demais normativas relacionadas a esta temática. O campo de estudo é o direito urbanístico, notadamente no âmbito das discussões sobre o direito à moradia; por sua vez o método é o analítico, já que as conclusões são obtidas por meio dos dados coletados na pesquisa teórica. Conclui-se que a obrigação de meio tem possibilitado efetivar o direito à moradia na Espanha em decorrência de um conjunto de normativas estatais e autonômicas; por sua vez, a obrigação de resultado — embora circunscrita a poucas comunidades autônomas —, reforça e possibilita a concretização do direito à moradia independentemente da situação política e econômica conjuntural.
Advogado Público e Controlador Interno na Nova Lei de Licitações
Authors: Vilande Tasso Jardel
Published: April 2024

O objetivo deste artigo é explorar o papel do jurídico e do controlador interno no processo licitatório com as inovações trazidas pela Lei n° 14.133/2021. No decorrer do exercício das funções do advogado público e do controlador interno, poderão ocorrer dúvidas quanto aos limites e responsabilidades de cada uma das funções. A pesquisa adotada possui uma abordagem qualitativa, com uma metodologia exploratória. Trata-se de uma análise interpretativista realizada por meio de textos legais, bibliográficos e jurisprudenciais como fontes de pesquisa. Ao longo do trabalho, demonstra-se que a Nova Lei de Licitações aproximou os controladores internos e os advogados públicos com o objetivo de aumentar o controle nas licitações e contratos. No entanto, tais funções gerais devem ser regulamentadas de acordo com a natureza dos cargos, a fim de evitar conflitos de atuação. O artigo propõe um rol de atividades práticas dos órgãos de controle interno e de advocacia pública como suporte à atuação dos agentes licitatórios.
Transparência e Termo de Ajuste de Gestão
Authors: Taborda Maren , Nogueira Dias Carlos Armando
Published: April 2024

Trata o presente estudo de verificar a efetiva utilização do Termo de Ajustamento de Gestão - TAG, pelas cortes de contas do País, e em que medida esse procedimento é justificado pela a Lei 23.655/2018, que determina o dever de eliminar irregularidades, incerteza jurídica ou situação contenciosa por meio de compromissos entre os interessados. A partir de questionários enviados aos Tribunais de Contas dos Estados, foi feito um inventário de quais cortes preveem a utilização do instrumento em suas legislações, e analisou-se, comparando-se autodescrições feitas pela dogmática jurídica, a relação do instrumento com o dever de transparência, verificando-se, em caso concreto, a insuficiência do controle de contas punitivo, porque a responsabilização dos agentes é individual e não é tratada como falha sistêmica.  As conclusões parciais foram sendo fixadas ao longo do texto, para restarem alinhavadas ao final, e a principal delas diz respeito ao fato de que todas as cortes de contas do Brasil podem celebrar tais instrumentos, ainda que não contem com autorização expressa.
Sumário e Apresentação
Authors: De Oliveira Cristiane Catarina Fagundes
Published: April 2024

Sumário e Apresentação -  v. 9 - n. 17-2023
EDIÇÃO COMPLETA 2023 - v. 9, n. 17
Authors: Oliveira Cristiane Catarina Fagunde de Oliveira
Published: April 2024

Edição Completa 2023 - v. 9, n.17
A Proteção dos Animais de Estimação baseada na Ética e na Moral Kelseniana
Authors: Nascimento Ana Paula Da Silva , Nogueira Júnior Bianor Saraiva
Published: April 2024

A abordagem da pesquisa apresentada foi uma proposta das ideias dos pensamentos de Hans Kelsen sobre a ética e a moral, interligando-as com o direito de proteção dos animais de estimação. O objetivo da pesquisa foi demonstrar, em forma comparativa, como seria aplicar as teorias de Hans Kelsen, para adquirir uma melhor proteção da tutela responsável ao animal de estimação pelo tutor. “O Problema da Justiça” e o capítulo segundo da obra “Teoria Pura do Direito” foram as principais fontes bibliográficas desta pesquisa, mas, além delas, também utilizou-se das doutrinas, das leis, de outros livros das ciências (zootecnia, veterinária, biologia, ambiental, filosofia, psicologia...) e etc. Concluiu-se com essa pesquisa que ela representou a contextualização kelseniana combinada com os interesses ambientais em proteger os animais de estimação.

Palavras-chaves: Ética. Moral. Teoria Pura do Direito.  O Problema da Justiça. Animais de estimação.
A Inconstitucionalidade do artigo 10 da Nova Lei de Licitações e Contratos Administrativos
Authors: Souza (MS) Fernando Machado , Dos Santos da Silva Jhonatan Neres
Published: April 2024

A Nova Lei de licitações e Contratos Administrativos trouxe várias mudanças essenciais no âmbito das contratações públicas, como também consolidou entendimentos que vinham sendo utilizados pela Administração Pública. Ocorre que a Constituição ressalta que cabe à União estabelecer normas gerais sobre a matéria, o que não foi adotado em alguns dispositivos da novel legislação. Nesse sentido, busca-se no presente artigo analisar a inconstitucionalidade do artigo 10 da Nova Lei de Licitações, o qual trata da defesa de agentes públicos pela Advocacia Pública, em virtude da invasão de competência dos demais entes federados.
APA do Ribeirão Piancó (Anápolis/Goiás)
Authors: De Menezes Júnior Eumar Evangelista , Natal Ana Clara Fernandes , Pinto Pereira Eduarda Sulino , Teixeira Ieda De Paula , Cardoso Liandra Rosa
Published: April 2024

O presente artigo descreve como é aplicada a parcela do ICMS Ecológico que chega ao município de Anápolis, na Unidade de Conservação Ribeirão Piancó, convergindo-se à sustentabilidade ambiental. A Unidade de Conservação Ribeirão Piancó foi criada no ano de 2019, como Área de Proteção Ambiental - APA do Piancó, por meio do Decreto-Lei (Goiás) nº 43.744 e a ela, por meio da parcela do ICMS Ecológico são aplicados instrumentos de proteção e conservação dirigidos por políticas de Educação Ambiental. Para lograr êxito foi empregado um método construtivista, preenchido das abordagens dedutiva em primeiro plano; quali-quantitativa em um segundo plano, sendo-as potencializados com as técnicas bibliográfica, historiográfica e documental. O ICMS Ecológico em Goiás que chega no município se afirma política ambiental convergida à sustentabilidade ambiental.
Atores Locais e Poder Central: a herança colonial e o caso do México
Authors: Pietschmann Horst
Published: April 2024

Os conflitos entre poderes locais e governos centrais têm uma longa tradição não somente na América hispano-colonial, mas também na Europa moderna em geral, como pode dar testemunho uma série interminável de conflitos, sendo que muitos dos quais levaram a rebeliões ou guerras civis na época moderna. Prescindiremos então da multiplicidade de agitações contra autoridades ou elites locais que pertencem a distinta categoria; estamos interessados, no entanto, em rebeliões com maior abrangência espacial e com articulação de reivindicações políticas. Nesta linha de rebeliões, a instituição que é, por antonomásia, o órgão de cristalização do poder local – isto é, os municípios e cabildos – está sempre presente de uma forma ou de outra. Estes quase sempre articulam o descontentamento local. A rebelião ou a resistência são sempre dirigidas não contra o rei, mas sim contra uma hierarquia interposta entre aqueles que protestam e este último, ou seja, a autoridade central do Estado, da Monarquia ou – qualquer que seja a forma com que se queira chamar – de toda a comunidade. Isto prova que, em linhas gerais, a interação entre os atores locais e a autoridade central, pelo menos durante a época colonial, mesmo em casos de resistência armada, desenvolve-se ao longo do quadro jurídico-institucional existente. Será importante averiguar o quanto isso haveria de mudar depois da Independência.

 

Tradução de Denis Guilherme Rolla (mestre em História do Direito, UFRGS). Revisão por Alfredo de J. Flores (Professor Permanente do PPGD-UFRGS). Os tradutores agradecem ao autor, o professor Horst Pietschmann, pela autorização e estímulo para esta tradução. Ademais, para efeitos de adequação aos padrões da presente Revista, os tradutores incluíram os títulos “Introdução” e “Conclusão” e a numeração e breves títulos nas seções do texto, que não existiam no original.
Prognostic factors for immune reconstitution inflammatory syndrome in patients with HIV and tuberculosis during antiretroviral therapy
Authors: Makarov P. , Kravchenko I.
Published: April 2024

Antiretroviral therapy (ARVT) promotes the growth of a CD4 lymphocyte
subpopulation, which leads to the development of immune reconstitution
inflammatory syndrome (IRIS) in a number of patients with late-stage HIV and
tuberculosis (TB) coinfection. Early prognostic factors for IRIS should be identified
to timely initiate pathogenetic therapy aimed at its relief and ARVT continuation.
Objective. To develop a method for the early diagnosis of IRIS in patients with HIV/TB
coinfection during ARVT and to identify criteria for initiating pathogenetic therapy.
Subjects and methods. The investigation enrolled 200 patients with HIV/TB
coinfection who were divided into 2 groups: 1) 100 patients who received
antituberculosis therapy (ATBT) without ARVT; 2) 100 patients who had
combination (ARVT + ATBT) treatment. A control group included 50 healthy
volunteers. To determine the prognostic factors for IRIS, all the patients underwent
studies of viral load, CD4 lymphocyte levels, plasma lipid profile, and a complete
blood count with a differential blood count before and after 1 month of treatment.
Results. In Group 2, the signs of IRIS were detected in 30 (30%) patients; those
were absent in 70 (70%) patients at 10-14 days after the start of combination
(ARVT + ATBT) therapy. The level of stab neutrophils was significantly higher in
patients with the signs of IRIS than in those without IRIS, despite the absence
of a difference in viral load and CD4 lymphocyte levels (p>0.05). All the patients
with HIV/TB coinfection showed changes in the indicators of the lipid spectrum.
However, there were significant differences between the patients with and
without IRIS only in the level of triglycerides (TG) (1.4±0.2 and 0.9±0.2 mmol/l,
respectively; p<0.001). Timely detoxification therapy for patients with the signs of
IRIS (manifestations of intoxication syndrome and elevated TG levels) resulted in
the relief of this syndrome, which made it possible to continue ARVT.
Conclusion. The significant increase in the level of TG in patients with the signs of
IRIS during ARVT + ATBT allows this indicator to be used as an early laboratory
marker of the risk for IRIS to timely prescribe pathogenetic therapy and to
continue ARVT, which is important in predicting the disease.
Assessment of clinical data and the species composition of pathogens in the upper respiratory tract of patients with COVID-19 AND Determination of sensitivity to essential etiotropic drugs
Authors: Dolinny S. , Kraeva L. , Burgasova O. , Ogarkova D.
Published: April 2024

Objective. To comparatively analyze the clinical and microbiological data of outpatients with COVID-19 who took a bacteriophage-based drug and who did not. Subjects and methods. The investigation involved 42 outpatients with COVID-19 who were divided into two groups: a study group of 30 patients who received standard therapy for COVID-19, as well as an oral bacteriophage-based drug (15 ml thrice a day for 10 days); a control group of 12 patients who had only the standard COVID-19 therapy. After 10 days of therapy, the clinical manifestations of the disease were comparatively evaluated in the examined groups. A repeated study of the material for bacterial microflora to assess the eradication of the pathogenic microflora in the respiratory tract was conducted on day 21 after the start of therapy. Results. Klebsiella pneumoniae (77%), Staphylococcus aureus (17%), and streptococci (Streptococcus agalactiae and Streptococcus pyogenes) (6%) were identified in the structure of bacterial pathogens in patients with COVID-19. Microbiological monitoring revealed multidrug-resistant K. pneumoniae in 50% of the patients; that sensitive to antibiotics in 26.7% of cases and that sensitive to a bacteriophage in 100%. The investigation results showed that the use of a polyvalent K. pneumoniae bacteriophage in patients with COVID-19 to prevent bacterial complications contributed to a significant (p < 0.001) elimination of K. pneumoniae. The pathogen isolation rate in the study group decreased significantly (p < 0.001). Thus, the use of phage therapy in combination with etiotropic therapy can be recommended to prevent bacterial complications in patients with COVID-19.
Risks for obesity-associated diseases and conditions
Authors: Lyasnikova M. , Tsvetkova I. , Belyakova N. , Rodionov A. , Lareva A. , Silkina M.
Published: April 2024

Alimentary-constitutional obesity is a chronic heterogeneous multifactorial disorder, the relevance of which can hardly be overestimated. The severe forms of this disorder are accompanied by specific complications, a high cardiometabolic risk, and obesity-related comorbidities. Objective. To study obesity-associated diseases and conditions. Subjects and methods. The investigation involved 426 overweight and obese patients. They underwent an examination that included historical data collection; physical examination for estimation of the severity of obesity and the grade of hypertension; abdominal ultrasound for diagnosis of hepatic steatosis or non-alcoholic fatty liver disease (NAFLD), and laboratory testing for a study of the parameters of carbohydrate and fat metabolisms and liver function. Results. Patients with severe alimentary-constitutional obesity had a higher risk of comorbidity: the risk of hypertension was elevated by 3.5-fold, type 2 diabetes mellitus and impaired glucose tolerance by 5-fold, metabolic syndrome by 4-fold, and NAFLD by 5.5-fold. Conclusion. Severe alimentary-constitutional obesity is a risk factor for comorbidity. At the same time, the solution of losing weight is a complex task to physicians of various specialties and consists of measures in both public health and patient commitment to a healthy lifestyle.
PET NUTRIÇÃO UNIFAL-MG 15 ANOS: SEU IMPACTO NA VIDA PESSOAL E PROFISSIONAL DOS EGRESSOS
Authors: Matsuhashi Kenzo Saydel , Oltramari Joao Felipe , Manera Lucas Eduardo , Ribas Andréia Harumi Mizukoshi , Ribeiro Mariana Manara , Pasin Luiza Avelar , Pereira Thalles Andrade Marques , Nascimento Hellen Cristina do , Cesario Danilo dos Santos , Rodrigues Maria Talyta Costa , < Livya Maria Vidal Souza dos Santos , Costa Bianka Virga , Godoy Fernanda Gomes Coelho , Colacino Natália Machado , Lima Thaís Oliveira de , Mendes Maria Joseane Armando , Martins Yasmim dos Reis , Oliveira Ana Carolina Franzoni de , Grasselli Cristiane da Silva Marciano
Published: April 2024

O Programa de Educação Tutorial (PET) tem como objetivo desenvolver atividades acadêmicas em padrões de qualidade e excelência, mediante a grupos de aprendizagem tutorial de natureza coletiva e interd
Numerical analysis for the design of a central air conditioning system for center of excellence
Authors: Chukwuma A. Igboanusi  , Ibitoru Dick  , Nitonye Samson
Published: April 2024

The temperature of the towing tank floor of the Center of Excellence in Marine and Offshore Engineering, Rivers State University needs regulation due to the high level of humidity during experiments. Since vapor evaporates from the towing-tank liquid column, the need for central air conditioning is timely. With the temperature regulated, it will help enhance the comfort of the students and improve the working condition of the staff and equipment. This is achieved by conducting a cooling load analysis, consistent with ASHRAE Guidelines, on the floor plan of the Laboratory building that provided useful information on the proper selection and sizing of fit-for-purpose air-conditioning equipment. Analysis revealed a total sensible and latent heat load of 59195.74 W with system capacity of 16.91TR (tons). Duct design utilizing the Velocity Reduction method resulted in a main supply duct length of 57m and flow are of 0.72m2 incorporating four branched ducts measuring 6m each in length and flow area of 1.05m2
Preliminary study on suitability and bearing capacity of snorkeling and diving tourism in the regional marine conservatory biluhu, Gorontalo province, Indonesia
Authors: Hasim  , Zulkifli Katili  , Sri Nuryatin Hamzah
Published: April 2024

This study aimed to analyze the suitability and bearing capacity of snorkeling and diving tourism in the regional marine conservatory in East Biluhu. The research was using survey and observation methods. The research location was divided into four observation stations. Analysis of suitability and bearing capacity was done by using the table method. The results of the study show that stations 1-3 are suitable for snorkeling tourism while station 4 is not suitable. For diving tourism, stations 1, 3, and 4 are categorized as suitable-very suitable, and station 2 is not suitable. The bearing capacity analysis shows that each station has a different capacity. This study shows that based on the suitability of the bearing capacity of snorkeling and diving tourism, the conservation area has the potential to be developed as a tourist area.
Factors determining people’s use of renewable energy
Authors: Nguyen Thi My Na
Published: April 2024

Although awareness and preference for renewable energy is increasing, users still pay higher prices for renewable energy than for fossil fuels. Therefore, assessing renewable energy demand is necessary to find new opportunities and drivers from buyers in the upcoming flexible and competitive energy market in the context of social and environmental responsibility to enhance consumer market. A clear trend is taking place among electricity users and small-scale electricity generation investors. The development of decentralization in global power production and distribution is also quite similar to this trend. Although many of these studies have noted this trend, there are still limitations that have not been further clarified. One thing to note is that when people invest in renewable energy to make a profit, there may be some risks due to the incomplete legal and technical framework. For example, investors can ignore strict infrastructure standards, use cheap, low quality products or the ability to reduce subsidies and replace them with more market prices; Or they can aim to make a profit immediately. Therefore, people must pay attention and understand their intention to use renewable energy. This reduces business risk by supporting the development of financial and investment solutions for citizens. At the same time, setting standards and establishing a comprehensive communication plan will provide the basis and tools for the sustainable and effective development of renewable energy by the people.
Metabolite profile of tree marigold (Tithonia diversifolia (Hamsley) A. Grey) leaves
Authors: Juswardi  , Alfiyatun Afifah Jatnika  , Nina Tanzerina  , Kamila Alawiyah
Published: April 2024

Tree marigold or Tithonia diversifolia (Hemsley) A. Grey) also known as Insulin leaves has traditionally been used as an herb for the treatment of diabetes mellitus (DM). Tree marigolds contain various metabolite compounds, which have various bioactivities, so research was carried out to study metabolite profiles using a non-target metabolism approach using a GC-MS (Gas Chromatography-Mass Spectrometry) instrument. The results of GC-MS analysis of Tree marigold ethanol extract showed 30 peaks in the chromatogram, of which 7 were dominant metabolite compounds including 1-butanol, 3-methyl acetate (28.11%), Thunbergol (14.28%), Geranyl acetate (12.13%). ), D-Limonene (6.64%), 4H-Pyran-4-one, 2,3-Dihydro-3,5-dihydroxy-6 -methyl (5.05%), acetic acid (4.10%), 7.8-epoxy-α-ionone (2.91%). The various categories of metabolites consist of the monoterpene class followed by fatty acids, terpenes, and sesquiterpenoids, as well as other compounds in the terpenoid esters class, alkanoic acids, fatty acids, proteins, amino acids, furanoids, ketones, and others. These metabolite compounds have antidiabetic, antioxidant, anti-inflammatory, antimicrobial, antibacterial, anticancer, and antitumor effects so they have potential as antidiabetic therapy.
PENGGUNAAN ANALISIS DISKRIMINAN DALAM MENENTUKAN TINGKAT KEMISKINAN DI PROVINSI MALUKU TAHUN 2015
Authors: Rumeon Ramli , Talakua Mozart W. , Persulessy E. R.
Published: April 2024

Di Indonesia khususnya Provinsi Maluku, masalah kemiskinan merupakan salah satu persoalan mendasar yang menjadi pusat perhatian pemerintah baik pemerintah pusat maupun pemerintah daerah. Walaupun angka kemiskinan menurun, tetapi faktanya masih banyak orang yang berada pada garis kemiskinan. Kemiskinan yang terjadi meliputi beberapa aspek antara lain pendidikan, pengangguran, bahkan pertumbuhan ekonomi. Penelitian ini akan membahas tentang beberapa faktor seperti  Tingkat Pengangguran Terbuka (TPT), Tingkat Pendidikan dan Pertumbuhan Ekonomi yang mempengaruhi kemiskinan di Provinsi Maluku. Untuk mengetahui faktor yang paling mempengaruhi dan membedakan tingkat kemiskinan daerah Kabupaten/Kota Provinsi Maluku digunakan metode analisis diskriminan. Analisis diskriminan adalah salah satu teknik analisis multivariat yang digunakan untuk mengklasifikasikan data ke dalam suatu kelompok berdasarkan variable terikat dan variabel bebas. Dengan menggunakan analisis diskriminan, terbukti bahwa faktor yang mempengaruhi kemiskinan di Provinsi Maluku pada tahun 2015 adalah Pertumbuhan Ekonomi.
PERAMALAN INFLASI KOTA AMBON TAHUN 2021 MENGGUNAKAN METODE ARIMA BOX JENKINS
Authors: Latumahina Handy , Palembang C. F. , Radjabaycolle J. E. T.
Published: April 2024

Inflasi merupakan salah satu indikator yang dapat menunjukkan tanda-tanda perubahan harga ekonomi pada suatu daerah. Kota Ambon merupakan salah satu indikator perhitungan inflasi di Provinsi Maluku. Inflasi harus tetap dijaga oleh pemerintah agar tetap stabil sebagai salah satu syarat agar pertumbuhan ekonomi tetap berkesinambungan serta bermanfaat bagi peningkatan kesejahteraan masyarakat di Kota Ambon. Oleh karena itu, peramalan Inflasi perlu dilakukan untuk membantu pemerintah dalam menyusun suatu kebijakan. Salah satu metode yang paling tepat untuk melakukan peramalan data Inflasi Kota Ambon dengan menggunakan metode ARIMA Box Jenkins. Metode ARIMA Box Jenkins sangat cocok untuk diterapkan pada data inflasi karena terdapat pola musiman yang terjadi pada waktu tertentu. Data inflasi tahun 2016 sampai dengan tahun 2020 ketika dilakukan identifikasi model data sudah stasioner sehingga tidak dilakukan differencing lagi. koefisien autokorelasi (ACF) dan autokorelasi parsial (PACF) diperoleh dua model ARIMA yang digunakan yaitu model ARIMA (1,0,1) dan model ARIMA (1,0,0). Model ARIMA (1,0,0) adalah model ARIMA yang layak digunakan untuk peramalan inflasi karena AR = 1, P-Value = 0,05 dan MA=1 dan untuk pengujian LJung-Box Data Lag ke-12, 24, 36, 48 > 0,0. Data peramalan inflasi tahun 2021 mengalami kenaikan yang stabil atau rata-rata sampai pada bulan ke-12 artinya hasil yang diperoleh cukup memuaskan untuk ramalan jangka pendek.
BEBERAPA SIFAT IDEAL M-KANSELASI
Authors: Kolelupun Marlen M , Persulessy E. R.
Published: April 2024

Sifat kanselasi pada grup juga berlaku pada ring dan modul. Sifat kanselasi pada ring tersebut selanjutnya dikembangkan pada ideal. Suatu ideal  dari  disebut ideal kanselasi jika berlaku  untuk  dan ideal dari , maka . Selanjutnya suatu M: R-modul disebut modul kanselasi jika berlaku aM = bM maka a = b untuk a dan b ideal dari R. Dalam penelitian ini diperoleh bahwa ideal M-kanselasi merupakan generalisasi dari ideal kanselasi dan sifat-sifat dari ideal M-kanselasi. Untuk suatu   -modul dan , Ideal  adalah ideal -kanselasi jika dan hanya jika  dan jika  adalah ideal -kanselasi lokal dari  maka  adalah ideal -kanselasi dari .
ANALISIS BREAK EVEN POINT SEBAGAI ALAT BANTU PERENCANAAN LABA PADA PRODUK MINYAK KAYU PUTIH (STUDI KASUS UD. BINTANG TIMUR AMBON)
Authors: E. Lawalata Ananda T. , Wattimena A. Z , Rahakbauw D. L , Nanlohy Y. W. A
Published: April 2024

Salah satu perencanaan yang dibuat manajemen adalah perencanaan laba. UD. Bintang Timur Ambonmerupakan salah satu usaha kecil di kota Ambon yang menjadi perhatian khusus penulis sebagai subjekPenelitian karena belum menjalani analisis BEP untuk analisis perencanaan laba. Berdasarkanpermasalahan maka penulis tertarik untuk meneliti tentang analisis Break Even Point sebagai alat bantuperencanaan laba pada produk minyak kayu putih (Studi Kasus pada UD. Bintang Timur Ambon) dengantujuan untuk menganalisis titik Break Even Point dan perencanaan laba pada UD. Bintang Timur Ambonpada periode tahun 2020 dari bulan Juli sampai Desember serta menganalisis maksimal penurunanpenjualan dapat terjadi agar perusahaan tetap aman. Hasil Penelitian ini menunjukkan bahwa Break EvenPoint atau titik impas untuk tahun 2020 pada produk minyak kayu putih ukuran 150ml, 300ml dan 600mlberturut-turut sebesar Rp. 1.860.000 dengan unit terjual 31 unit, Rp. 2.304.000 dengan unit terjual 19 unitdan Rp. 2.335.000 dengan total unit terjual 9 unit. Analisa margin of safety menunjukan bahwa ketikamengalami penurunan sebesar 93% atau Rp. 24.775.200 untuk 150ml, 85% atau Rp. 13.872.000 untuk300ml dan 80% atau Rp. 9.600.000 untuk 600ml, maka UD. Bintang Timur Ambon akan mengalamikerugian.
Some NECESSARY AND SUFFICIENT CONDITIONS OF COMULTIPLICATION MODULE
Authors: Wattimena Emanuella M C , W.M. Patty Henry , Patty Dyana , L. Rahakbauw Dorteus
Published: April 2024

In ring theory, if  and  be ideals of , then the multiplication of  and , which is defined by  is also ideal of . Motivated by the multiplication of two ideals, then can be defined a multiplication module, a special module which every submodule of  can be expressed as the multiplication of an ideal of ring and the module itself, and can simply be written as .  Furthermore, if   the module become a comultiplication module. By the definition, it concludes that every comultiplication module is a multiplication module but the converse is not necessarily applicable.

Keywords:  annihilator, ideal, module, comultiplication module, multiplication module, ring, submodule.
PENERAPAN METODE BACKWARD UNTUK MEMODELKAN INDEKS PEMBANGUNAN MANUSIA PROVINSI MALUKU UTARA
Authors: Sampulawa Zulfikar I. , Joanne Latupeirissa Sanlly , Lewaherilla Norisca
Published: April 2024

Indeks Pembangunan Manusia (IPM) merupakan angka yang menggambarkan kondisi masyarakat atau penduduk dalam hal mengakses hasil pembangunan, pendapatan dan kesehatan yang layak. Faktor-faktor yang diduga mempengaruhi IPM Maluku Utara yaitu Angka Harapan Hidup (AHH), Harapan Lama Sekolah (HLS), pengeluaran per kapita dan presentase penduduk miskin. Hasil penelitian ini menunjukkan bahwa model regresi linier berganda dengan menerapkan metode backward diketahui Harapan Lama Sekolah dan Pendapatan per Kapita berpengaruh signifikan terhadap IPM provinsi Maluku Utara dengan nilai R2 sebesar 99.8%.
FORECASTING OF AMBON CITY CONSUMER PRICE INDEX (CPI). USING DOUBLE EXPONENTIAL SMOOTHING METHOD FROM BROWN
Authors: Istifarin Nadia , Van Delsen M. S. Noya , Djami R. J.
Published: April 2024

The Consumer Price Index (CPI) is an index that measures the average price of goods and services consumed by households in a certain period of time. An increase in the CPI can cause an increase in interest rates, increase the growth of the money supply, increase the attractiveness of the currency, and increase inflation. The results of the visualization show that the Ambon city CPI forms a trend pattern. This study aims to predict the Ambon CPI from January 2022 to June 2022 using Brown's double exponential smoothing method. The results of the analysis show that the best parameter for forecasting the CPI value of Ambon city is α=0.7 with a MAPE value=1.2644%, which obtains successive forecast results are January at 110.5908, February at 111.4186, month March was 112.2389, April was 113.8871, May was 113.8871 and June was 14.7112. These results show that the CPI forecast for Ambon City has increased every month.
Development of Spatial Weighted Matrix based on Transportation Connectivity for Archipelago Provinces in Indonesia
Authors: Sedubun Debora Ribka , Yudistira Yudistira , Laamena Novita Serly , Salhuteru Rosalina
Published: April 2024

The application of spatial statistics is now commonly used in analysis of phenomena of strategic indicators in Indonesia, including in archipelago provinces. However, application of spatial statistics in archipelago provinces is constrained by spatial weighted matrix that are less relevant in identifying the spatial effects of indicators, due to enormous number of territories which not directly bordered by land. Meanwhile, transportation connectivity in archipelago provinces has expanded far beyond its administrative boundaries. Through this research, we tried to formulate concept in development of spatial weighted matrix based on transportation connectivity between regency/city in archipelago provinces. Our research used primary data processing methods as well as literature studies, with used the data of sea and air transport routes between regencies and cities in the 3 archipelago provinces: Maluku, Maluku Utara, and Kepulauan Riau. We developed several types of spatial weighted matrix based on transportation connectivity between regency/city in those three provinces, as well concepts in combining such matrix with other kinds of spatial weighted matrix. With our research, it is hoped that could trigger more spatial research related to strategic indicators in archipelago provinces in Indonesia.