bluuebunny/crossref_metadata_2025 huggingface dataset:
10.29184/anaisscfmc.v12022p2
Authors: Carvalho Leite Camila , Antônia Andrade Rangel Maria , Clara Fonseca Artiles Maria , Clara Guerra Peixe Maria , Maria Ferreira de Carvalho Mansur Odila
Published: January 2023

Introdução: O Transtorno do Espectro Autista (TEA) está categorizado no DSM-5 como um transtorno do neurodesenvolvimento, e tem como principal característica alterações qualitativas da interação social recíproca e linguagem, além de comportamentos estereotipados, interesses restritos e dificuldade com o uso do imaginário em jogos simbólicos. O Autismo infantil é descrito como alterações condizentes com TEA ocorrendo nos três primeiros anos, podendo se manifestar a partir dos primeiros meses de vida. O diagnóstico precoce é essencial para um aproveitamento da neuroplasticidade presente no período inicial da vida, onde as sinapses cerebrais constantes colaboram para uma diminuição das perdas cognitivas da criança, possibilitando o desenvolvimento de habilidades sociais, cognitivas e de linguagem. Objetivos: Identificar crianças entre dezoito e trinta e seis meses de idade com sinais de risco para TEA, por meio do Instrumento Escala Modified Checklist for Autism in Toddlers (M-CHAT) e encaminhar para tratamento no Ambulatório Interdisciplinar do Hospital Plantadores de Cana (HPC) em casos positivos. Relato da Experiência: A aplicação do M-CHAT no ambulatório de pediatria do HPC foi de extrema relevância para as extensionistas e a comunidade. Foi organizado um grupo de mães onde fomentamos um diálogo de extremo valor e compartilhamento de conhecimento de suma importância na saúde de seus filhos. Ademais, ensinar é o melhor jeito de aprender, e a escuta das mães por parte do grupo gerou discussões produtivas e necessárias, expandindo os horizontes de todos presentes, e abrindo espaço para ainda mais diálogo. Reflexões: Para esse trabalho, foram analisadas 20 crianças. Os resultados revelaram que, dentre as crianças avaliadas, 85% apresentaram risco positivo para autismo (17 crianças). O diagnóstico e a intervenção precoce do Transtorno do Espectro Autista são essenciais para garantir a saúde e o crescimento da criança, além de estimular a formação de sinapses para que ela possa se desenvolver de forma satisfatória e realizar atividades diárias com independência no futuro. Conclusões: Este trabalho busca evidenciar a relevância da aplicação do questionário M-CHAT para a identificação precoce do TEA. Desse modo, promove a inserção precoce de crianças com sinais deste transtorno em atividades de estímulo especializado, visando atingir as áreas comumente afetadas pelo TEA e melhorar o prognóstico a longo prazo.
Exploring Customer Loyalty from Customer Trust and Religiousity Memorable Customer Experience in Airline Industry
Authors: Saefudin Nugraha
Published: January 2023

Loyalty is considered as a deep commitment to repurchase or re-subscribe to the desired product or service in the future resulting in repeated purchases of the same set of brands or brands despite the situational influences and marketing efforts that have the potential to cause brand switching behavior. This original piece of research explores the impact of Customer Trust (CT) and Religiousity Memorable Customer Experience (RMCE) to develop customer loyalty in airline industry. The unit of analysis was conducted on the number of 180 passangers who flew overseas with flights longer than 6 hours. Primary data were obtained from the field results through a questionnaire. Meanwhile, to determine the effect of customer trust and religiousity were analyzed using regression. The findings suggest that CT and RMCE did have an impact on the settings and forming  airline customer loyalty and was an effective strategy for attracting passengers more satisfied and more loyal. We have found a significant effect of RMCE as mediator between CT and CL. The evidence documented in this paper is first known to measure the role of mediator between customer trust and customer loyalty.
INTERVENÇÃO PSICOPEDAGÓGICA EM TEMPO DE PANDEMIA
Authors: Teixeira Jayonara Mychele da Silva , Vieira Kátia Clemente da Costa , Araújo Jordânya Mayra Teixeira
Published: January 2023

O trabalho apresentado está sendo desenvolvido na Escola Municipal Olinto Paulino dos Santos, localizada na zona rural do município de Pureza -RN. Esta Escola é a única no Município, funcionando de forma multisseriada, oferecendo como modalidade de ensino: Educação Infantil e Ensino Fundamental (anos iniciais), ou seja, nesta escola as turmas são compostas por crianças com idades e níveis educacionais diferentes, as quais compartilham a mesma sala e horário, mediados(as) pela mesma professora. Por ser multisseriada, tem-se configurado como um desafio e ao mesmo tempo uma possibilidade de superação das dificuldades de aprendizagens, que foram intensificadas com o advento da pandemia (covid-19) e vem contribuindo negativamente no cenário educacional. A ideia da Instituição é priorizar o ensino e a aprendizagem, na perspectiva de envolver todos(as) no processo, além de unir forças com a Secretaria Municipal de Educação e Família, com finalidade de amenizar as ameaças (internas e externas). É válido ressaltarmos que, em momentos de diagnóstico situacional e das avaliações dos trabalhos educativos, realizados remotamente, verificaram-se as seguintes ameaças: a) Situação socioeconômico desfavorável, b) Situação psicológica (emocional) e c) A conjuntura familiar (disfuncional). Tudo isso afeta e traz novas preocupações no contexto educacional. O objetivo principal é investigar e intervir diretamente com as crianças que já apresentavam dificuldades de aprendizagem antes da pandemia e as que passaram apresentar devido às mudanças bruscas que ocorreram e ainda ocorrem nesse novo modelo de ensino e aprendizagem de forma remota. A finalidade da investigação visa analisar, compreender e buscar novas estratégias que possam fazer a diferença no currículo escolar e contribuir com melhorias nos resultados pedagógicos. Como metodologia, a pesquisa se propõe a abordar essa problemática de forma qualitativa e bibliográfica. No andamento da investigação, fez-se necessário utilização de alguns instrumentos, tais como: a) Protocolos Psicopedagógicos; b) Elaboração do PEI - Plano Educacional Individualizado.; c) Cronograma de Atendimento e d) Instrumentos de Acompanhamentos (Registros Avaliativos). Todos esses elementos citados foram discutidos e debatidos nos momentos de estudo (planejamento semanal) com as professoras. Como sustentação teórica apoiamos nas concepções de Freire (1982); Gadotti (2003); Pain (1985); Morais (1997); Neto (2018), Dehaene (2012); Oliveira (2017); Silva (2018), Relvas (2017), Codea (2018) e outros.

Os resultados ainda não são conclusivos, pois tivemos que recuar dos atendimentos presencias dos grupos de aprendizagem pelo motivo da nova onda do covid-19, mas retornamos em Julho 2021 com os atendimentos presencias de pequenos grupos e individualmente, inclusive com os ciclos de formações continuada com os professores (remotos e presencias).
RECEPTORES DE ESTRÓGENO: ESTUDO TEÓRICO E SISTEMÁTICO DO SEU FUNCIONAMENTO CORRELACIONADO AO DESENVOLVIMENTO DE TUMORES
Authors:   , Santos Michael Krabbe Moreira dos
Published: January 2023

O câncer deve ser entendido como uma doença genética e tecidual, de modo que os fatores que contribuem para o seu desenvolvimento e progressão são variados e compreendem a diversas vias de sinalização. O presente trabalho teve como principal objetivo compor uma revisão bibliográfica referente à evolução nos estudos dos receptores estrogênicos, reunindo diferentes fontes atuais e de relevância, aplicando estas nos estudos da oncologia ligada aos receptores de estrógenos (REs). Os elementos necessários para a construção deste trabalho, isto é: artigos, sites, monografias e teses, foram selecionados manualmente e de bases científicas reconhecidas por todos os pesquisadores, como NCBI, Web of Science e SciELO. As vias de sinalização mediadas pelos REs são amplas, complexas e estão em constante estudos, uma vez que muitos dos mecanismos ainda não foram elucidados. Nesta revisão foram abordados temas como a estrutura molecular dos receptores estrogênicos, que podem ser encontrados em diversos tecidos humanos e sob a forma de dois subtipos, diferenciados pelas letras gregas a e ß; os efeitos do complexo estrógeno-receptor nos tecidos e na progressão de câncer, que inclui mecanismos aliados a fatores de crescimento epidérmico, epitélio-vascular, antiapoptóticos; vias de sinalização mediadas por membrana, mitocôndria, núcleo celular, receptor de estrógeno acoplado a proteína G, microRNAs; relação entre tumores e receptores estrogênicos, principalmente em carcinomas de mama, endométrio, ovário e pulmão; mecanismo de metástase a partir da transição epitélio-mesenquimal e; por fim, as principais terapias associadas aos REs. Portanto, o intuito geral desta revisão é fornecer base teórica para a compreensão de parte das ações dos receptores de estrógeno nos tecidos humanos, bem como sua caracterização molecular, uma vez que não existe na literatura a reunião dados como estes apresentado no presente trabalho.
Structural and Magnetic Properties of (1-x)Ba5PrTi3V7O30-xBiFeO3
Authors: Doley Hage
Published: January 2023

Bismuth Ferrite (BiFeO3) is a single phase Fe- based multiferroic having Perovskite structure. It shows both ferroelectric and ferromagnetism simultaneously in the single material. But the magnetic order is very low due to complex antiferromagnetic order yielding small remnant magnetization. However, Magnetic property could be improved if BiFeO3 mixed with Ba5PrTi3V7O30 having TB-structure. Solid Solution (1-x)Ba5PrTi3V7O30-xBiFeO3 is prepared by using Solid State Reaction technique for different values of x. Pellets are calcined at 750  then sintered at 800 . Basic Crystal qualities and formation of single phase compound is confirmed by the XRD (X-Ray Diffractogram). The crystal structure is more or less constant i.e. Orthorhombic.  However, further increase in x changes the crystal structure. For x= 0.7 the system is Rhombohedral in structure. Grain morphology is being analysed by Scanning Electron Microscope (SEM: JOEL-IT300).Surface morphology shows that average grain size range from around 0.75 µm to 2.10 µm. Average grain size is maximum for x = 0.3 and minimum for x=0 (i.e. pure ferroelectric material). Magnetic measurement is done at a wide low temperature range (10-350K) by Physical Property Measurement System (PPMS: Quantum Design, San Diego, USA) Vibrating Sample Magnetometer (VSM). Hysteresis (M-H) loops are measured at room temperature (300K).It shows that the magnetization changes when the value of x changes. Remanence is maximum for x=0.3 and Coercivity is maximum for x=0.7. The material could be suitable to fabricate non volatile magnetic storage memory device.
Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis
Authors: Abadi Aji Bijaksana , Tahcfulloh Syahfrizal
Published: January 2023

Pixel is the smallest element given by the image from a digital camera and is used as a data source in the digital image processing process. In this paper, two data collection processes are carried out, i.e. taking actual height data using a standard stature meter and taking sample photos using a camera placed from the sample with a distance of 160 cm and a height of 100 cm. The sample photos obtained are then processed for segmentation of the sample body against the surrounding environment using several digital image-processing techniques such as grayscale, blur, edge detection, and bounding box in order to obtain a pixel value that represents the height of the sample. The next stage is the regression analysis process by correlating actual height with pixel height using five regression equation analysis methods such as least squares, logarithmic powers, exponentials, quadratic polynomials, and cubic polynomials. This study analyzes the differences between these methods in terms of correlation coefficient, Root Mean Squared Error (RMSE), average error, and accuracy between height calculation data based on digital image processing and actual height measurement data. From the results obtained, the logarithmic power method produces the best analytical value compared to other methods with the correlation coefficient, RMSE, average error percentage, and percentage accuracy of 0.976, 1.3, 0.58%, and 99.42%, respectively. While the cubic polynomial is in the last position, the correlation coefficient, RMSE, average error percentage, and accuracy percentage are 0.978, 1.41, 0.64%, and 99.36%, respectively.
Software Defect Prediction Framework Using Hybrid Software Metric
Authors: Zaim Amirul , Ahmad Johanna , Zakaria Noor Hidayah , Su Goh Eg , Amnur Hidra
Published: January 2023

Software fault prediction is widely used in the software development industry. Moreover, software development has accelerated significantly during this epidemic. However, the main problem is that most fault prediction models disregard object-oriented metrics, and even academician researcher concentrate on predicting software problems early in the development process. This research highlights a procedure that includes an object-oriented metric to predict the software fault at the class level and feature selection techniques to assess the effectiveness of the machine learning algorithm to predict the software fault. This research aims to assess the effectiveness of software fault prediction using feature selection techniques. In the present work, software metric has been used in defect prediction. Feature selection techniques were included for selecting the best feature from the dataset. The results show that process metric had slightly better accuracy than the code metric.
Iris Image Watermarking Technique for Security and Manipulation Reveal
Authors: Thabit Rasha , Shukr Saad M.
Published: January 2023

Providing security while storing or sharing iris images has been considered as an interesting research topic and accordingly different iris image watermarking techniques have been presented. Most of the available techniques have been presented to ensure the attachment of the secret data to their related iris images or to hide a logo which can be used for copyright purposes. The previous security techniques can successfully meet their aims; however, they cannot reveal the manipulations in the iris region. This paper presents an iris image watermarking technique that can provide security and reveal manipulations in the iris region. At the sender side, the proposed technique divides the image into two regions (i.e., iris region and non-iris region) and generates the manipulation reveal data from the iris region then embeds it in the non-iris region. At the receiver side, the secret data is extracted from the non-iris region and compared with calculated data from the iris region to reveal manipulations if exist. Different experiments have been conducted to evaluate the performance of the proposed technique which proved its efficiency not only in providing security but also in revealing any manipulations in the iris region.
Perancangan UI/UX Webinar Booking Terhadap Kepuasan Pengguna Menggunakan Metode Design Thinking
Authors: Purwitasari Rachma Wukir , Nainggolan Purnama Dileon Yamora , Rahmawati Novi , Adhinata Faisal Dharma , Ramadhan Nur Ghaniaviyanto
Published: January 2023

In order to meet user needs, designing an exemplary user interface requires in-depth knowledge of design principles and guidelines and an understanding of the multi-component design space. Multi-components are the image parts that can be used, their layout options, and visual effects options. This research was conducted to meet user needs. With the Design Thinking method, we can find out the user's needs and adjust to the user's interests. With the Webinar Booking application, it is hoped to be a solution for today's life
Penerapan Online Analytical Processing (OLAP) dalam Pengelolaan Data Karyawan
Authors: Aldisa Rima Tamara
Published: January 2023

At this time many companies manage employee data manually from the process of recording employee data, employee absences which can result in data errors. Because of several things, it is necessary to have a system that can record every incoming data as well as a method that can control it so as not to experience excess or deficiency. The method used is the Online Analytical Processing (OLAP) method. The Online Analytical Processing (OLAP) method is an approach method to provide answers to requests for dimensional analysis processes quickly, the result to be achieved is to be able to design applications that are expected to provide convenience for companies to carry out the process of recording employee data, employee attendance to presentation. reports quickly, precisely and accurately
Pemulihan Citra Berbasis Metode Markov Random Field
Authors: Chyan Phie , Saptadi N. Tri
Published: January 2023

Image processing and computer vision today are faced with increasing big data applications. Excessive collection of Image data sometimes can have bad quality due to errors at the time of acquisition or at the time of transmission,  so for that problem the method is needed to perform image restoration. Image restoration is a process to make improvements to the image with the aim of obtaining a clean image from noise like the original image. Among the methods that can be used in image restoration, Markov Random Field (MRF) based on a probabilistic representation of image processing problems, namely maximizing the probability size calculated starting from the input data for all candidate solutions can provide a faster sub-optimal solution for image restoration.  Based on the implementation this experiment conducted with the noisy test image, the MRF method was capable to improve the noisy image up to 96.75 percent close to the original image without noise
Perancangan Sistem Informasi Desa Tomuan Holbung Menggunakan Metode Waterfall
Authors: Supiyandi Supiyandi , Zen Muhammad , Rizal Chairul , Eka Muhammad
Published: January 2023

The settlement of Tomuan Holbung is located in North Sumatra. As a developing town, there is still knowledge that few others have access to through public communication, specifically the internet. As a result, the creation of an information system is required. Human existence is being transformed by technology, which allows us quick and easy access to data. In both government and private institutions, technology helps to organize management systems and work processes. The usage of the Village Information System is one of the IT applications in village life (SID). According to SID's first findings, there are impediments to an existing service, including the absence of functionality of specific features, system loading, and system correctness. The design of a village information system in Tomuan Holbung Village is discussed in this paper. Village information is one of the functions provided by this system. Because of the ready-to-use sample letters that are available. The waterfall process, which includes analysis, design, coding, and testing, as well as entity connection diagrams in database design, was used to create a web-based exam information system. It will be easier for devices to process village information data using a website-based village information system, making it more effective and efficient in giving information about village administration in Tomuan Holbung Village. The information system has a web-based display so that users can alter the material in the system, such as a web-based information system as a means of information in the waterfall method of development in Tomuan Holbung Village
Analisis Sentimen Terhadap Bakal Calon Presiden 2024 Dengan Algoritme Naïve Bayes
Authors: Fais Sya' bani Muhammad Raihan , Enri Ultach , Padilah Tesa Nur
Published: January 2023

Presiden Indonesia saat ini telah memegang jabatan yang sama selama 2 periode secara berturut – turut yang mana pada dasar peraturan untuk menjadi calon presiden sudah tidak bisa mencalonkan kembali menjadi presiden, dalam hal itu banyak lembaga survei yang telah mengeluarkan hasil survei terhadap beberapa tokoh yang memiliki elektabilitas untuk bisa menjadi calon presiden, berdasarkan hal tersebut juga banyak warganet yang menyampaikan pendapat, dari pendapat tersebut bisa dibuat kesimpulan mengenai sentimen warga masyarakat terhadap suatu tokoh bakal calon presiden tersebut dengan menggunakan metode Knowledge Discovery from Data dengan menggunakan algoritme naïve bayes dan perhitungan skor sentimen dengan harapan dari penelitian ini bisa memberikan bahan referensi kepada masyarakat dalam memilih presiden di pilpres yang akan datang. Hasil dari penelitian ini mendapatkan kesimpulan bahwa warganet memiliki sentimen positif terhadap setiap tokoh bakal calon presiden yang akan datang. Kemudian untuk hasil evaluasi dari algoritme naïve bayes yang didapatkan dari dataset pertama adalah 73,68 akurasi dan AUC 0,74 pada fold ke-7, dataset kedua adalah 71,43 untuk akurasi dan AUC 1,0 pada fold ke – 5, untuk dataset ketiga nilai akurasi yang didapat 60% dan AUC 0,92 pada fold ke-1, dan untuk dataset terakhir nilai akurasi yang didapatkan adalah 62,5% dan AUC 0,65 pada fold ke-3.
Implementasi Teorema Bayes Untuk Diagnosa Penyakit Hawar Daun Bakteri (Kresek) Dan Penyakit Blas Tanaman Padi
Authors: Purwadi Purwadi , Nasyuha Asyahri Hadi
Published: January 2023

Rice is a plant that has an important role for the majority of the population in Indonesia. Rice plants have a fairly high carbohydrate content. Therefore, rice cultivation is very important to be maintained. The government is targeting rice yields in 2013 to reach 72.06 million tons of dry milled grains and a surplus of 10 million tons in 2015. But in fact, this has not been realized due to disease attacks on rice plants which are quite detrimental to farmers. This is due to the lack of knowledge among Indonesian farmers about the problem of rice plant diseases. Farmers often have difficulty in consulting with an expert because of the travel time to the agricultural office which is quite far. In this expert system research, the Bayes theorem calculation method determines the probability of an event based on the effects obtained through observations. The result of the analysis of this method is an expert system analysis to diagnose diseases in rice plants along with the probability value of the diagnosed disease, which shows the level of system confidence in the disease by Bayes calculation that the conclusion with the highest value of 0.574 is Blast Disease
Analisis Konsumsi Dan Produksi Minyak Kelapa Sawit Di Indonesia Dengan Menerapkan Metode Moving Average
Authors: Anjani Intan Giri , Saputri Alshalva Berliana , Armeira Azka Nabalah Putri , Januarita Dwi
Published: January 2023

Palm oil has become a leading commodity for economic improvement in Indonesia. Currently, many people depend on the oil palm plantation sector. In the palm oil supply chain, there are business actors from upstream to downstream. But currently, palm oil export activities in the world are increasing. Thus causing palm oil in Indonesia to be scarce and expensive. This study discusses the analysis of consumption and production of palm oil in Indonesia by using the moving average method to forecast the amount of consumption and production of palm oil in 2022. Then analyzed using descriptive analysis method. The data source in this study is based on data available from BPS (Central Bureau of Statistics). From the forecasting results, the results show that palm oil consumption in Indonesia in 2022 has increased by 10.36% or 1.643 million tons from the amount of palm oil consumption in 2021 which is only 15.857 million tons. This is a good thing because the annual consumption of palm oil continues to increase significantly
Analisis Prediksi Mood Genre Musik Pop Menggunakan Algoritma K-Means dan C4.5
Authors: Nurhalimah Lia , Hermanto Teguh Iman , Kaniawulan Ismi
Published: January 2023

Spotify is a music streaming platform that has a variety of diverse features and is always updated in terms of the latest music. The features in spotify have an interesting thing for users to enjoy music more optimally both in listening to songs based on songs, most popular artists and genres. Research on classifying songs based on mood by using energy and valence in a song is often done, especially in western pop songs. In every thought music has emotional energy that radiates and is strongly related to human psychology. The problem with spotify is that there is no feature to listen to songs based on mood. If pop songs are categorized by mood, it will be easier for people to listen to pop songs and choose the appropriate one based on mood. In this study, pop music data will be grouped based on 4 categories of Thayer's mood models using the k-means and c4.5 algorithms. The purpose of this study is to analyze the mood prediction of the pop music genre using the k-means and c4.5 algorithms. The research methodology used is SEMMA, the stages in Semma are sample, explore, modify, model and assess. The attributes used are danceability, energy, tempo and valence. From these attributes, data clustering is made using the k-means algorithm using RapidMiner. Then visualized using Power BI. The results of the research from cluster data are grouped into moods consisting of angry, sad, cheerful and happy. The most abundant mood is in the cheerful mood. Then evaluate the assess using the calculation of the confusion matrix which produces an accuracy rate of 91.9%..
Analisis Sentimen Opini Pengguna Twitter Terhadap Perusahaan Jasa Ekspedisi Menggunakan Algoritma Naïve Bayes Berbasis PSO
Authors: Legiawati Nenden , Hermanto Teguh Iman , Ramadhan Yudhi Raymond
Published: January 2023

Expeditions are used in the process of delivering goods or selling them remotely. Twitter has become a social media for information sharing and opinions, including those on the expeditionary services both negative and positive. The solution for the problem which occurs is that of sentiment analysis, helpful in grouping the data and predicting the tweet. The aim of the research to predict sentient tweeted data using a file classification method, naive bayes's algorithm calculated the value of the tweets of the Anteraja expedition service that had the results accuracy 87,77%, precision 76,67%, recall 52,27%. JNE with accuracy 81,48%, precision 71,43%, dan recall 62,50%. JNT with accuracy 91,46%, precision 48,15%, recall 86,67%. Shopee Express with accuracy 92,68%, precision 9,09%, recall 16,67% and Sicepat with accuracy 91,50%, presision 100,00% dan recall 38,10%. Particle Swarm Optimization (PSO) serves to increase the value of the results of the nave Bayes classification with the results of Anteraja accuracy 91,70%, precision 82,05%, recall 72,73%. JNE accuracy 93,83%, precision 88,00%, recall 91,67%. JNT accuracy 92,18%, precision 70,97%, recall 81,48%. Shopee Express accuracy 94%, precision 20,00%, recall 33,33% and Sicepat accuracy 95,42%, precision 93,75%, recall 71,43%. From the results of naïve bayes research and Particle Swarm Optimization (PSO) it can be compared that Particle Swarm Optimization (PSO) is proven to be able to increase the value of nave Bayes.
Penerapan Metode Harris Benedict Pada Media Informasi Kebutuhan Gizi Harian Berbasis Android
Authors: Qamaruzzaman Muhammad Haris , Sutami Sutami , Sam'ani Sam'ani , Budiman Irwan
Published: January 2023

Calculation of nutritional needs is a way to find out a person's nutritional needs, which is usually done by nutritionists before compiling a diet menu. One formula that is often used is the Harris Benedict formula. The problem of this research is how to make an application for calculating nutritional needs with the Harris Benedict formula based on android mobile. This application aims to assist nutritionists and ordinary users in calculating nutritional needs through the results of calculations and dietary advice provided. The methodology in this study uses research and development which includes observation/data collection, interviews and literature study. As for software development using the waterfall model development method (waterfall). The implementation is built with the Java programming language, IDE (Integrated Development Environment) with Eclipse applications, Software Development Kit (SDK) which includes API (Application Programming Interface) tools. Testing is done by black box testing to evaluate the external appearance (Interface) and application functionality. This research has succeeded in implementing the Harris Benedict formula in an Android mobile-based nutritional needs calculation application that provides output for weight categories, ideal body weight, and dietary advice. Other features include a list of food and household sized tools, and an application guide. The purpose of this study is to produce an application that helps users calculate nutritional needs faster than manual calculations with correct results such as manual calculations. From the results of testing the application in black box, the results are in line with expectations.
Process Mining for Disease Trajectory Analysis on the Indonesia Health Insurance Data
Authors: Kurniati Angelina Prima , Kusuma Guntur Prabawa , Wisudiawan Gede Agung Ary
Published: January 2023

Process mining has been implemented in many domains, including healthcare. In healthcare, process mining projects aimed to inform sequential patterns of processes based on the actual process executions as they are recorded in the event log. Event log as the main input of process mining tasks can be extracted from the automatically recorded data of patient treatments or diagnoses. By understanding common patterns of patient diagnoses, we can analyse disease trajectories of a cohort of patients. Disease trajectory analysis has been used to describe the course or progression of diseases, especially chronic diseases, as experienced over time. We applied process mining as the main methodology for disease trajectory analysis, following the process mining project methodology, to analyse patient records on the Indonesia Health Insurance  (BPJS Kesehatan) Data Samples. We extracted the data samples, transform them into an event log, discover the disease trajectories based on process discovery algorithm, analyse it to inform their conformance to the event log. Contributions of our research are to promote process mining for disease trajectory analysis and to open wider opportunities to analyse Indonesia Health Insurance data representing Indonesia health conditions. As a case study, we explored disease trajectory of cancer patients
Sistem Pakar Mendiagnosa Penyakit Osteochondroma Dengan Metode Certainty Factor
Authors: Hutasuhut Masyuni , Ginting Erika Fahmi , Nofriansyah Dicky
Published: January 2023

Osteochondroma is a benign bone tumor that mostly develops in children and adolescents. Osteochondromas are more likely to develop during the growth spurt period between the ages of 13 and 15 years, but tumor development stops when the patient stops growing. Based on research conducted to diagnose Osteochondroma disease is still carried out directly by doctors, there is no system that helps diagnose patients who have symptoms of Osteochondroma disease. As a result, steps to diagnose Osteochondroma cannot be done if a doctor is not available. With these problems, an expert system was created to diagnose Osteochondroma disease with the aim of assisting the polyclinic in diagnosing Osteochondroma disease. An expert system is an application system that has the ability to think like an expert in solving problems related to Osteochondroma so that it can produce a conclusion or solution. The results of this study get an output in the form of diseases experienced by patients and solutions for handling diseases experienced by these patients using the Certainty Factor method, so that they can help the polyclinic in dealing with Osteochondroma disease
Klasterisasi Perguruan Tinggi Swasta di Madura Berdasarkan Kinerja Sumber Daya Manusia dan Mahasiswa Menggunakan Metode K-Means Clustering
Authors: Sasmita Yuli , Muhsi Muhsi , Walid Miftahul
Published: January 2023

The number of private universities in Indonesia in 2020 is 3,044 private universities, in East Java 328 private universities and in Madura 30 private universities. The number of private universities in Indonesia causes intense competition. Colleges should strive to maintain and improve performance in order to ensure their activities. Therefore, it is necessary to do or group private universities based on the performance of human resources and students to encourage these universities to improve their performance. The grouping of private universities is carried out using the k-clustering method which groups data into several clusters based on data groups which are. The results of this study, the grouping of private universities in Madura into 3 clusters, namely: Cluster 1 there are 4 private universities, Cluster 2 there are 7 private universities, and Cluster 3 there are 19 private universities.
Sentiment Analysis on Twitter Social Media towards Climate Change on Indonesia Using IndoBERT Model
Authors: Mubaraq Muhammad Fadhil , Maharani Warih
Published: January 2023

The phenomenon of climate change is a change in temperature and weather patterns in the long term. This incident became a frightening specter for everyone because consciously or unconsciously the bad effects of climate change are already in sight. This has become an urgency for all levels of society so that this topic has become quite hot on Social Media, especially on Twitter. The topic of climate change in Indonesia on Twitter Social Media can be analyzed so that it can be seen how people's sentiments towards this phenomenon. This research utilizes the Transformer architecture, namely IndoBERT, IndoBERT itself is the development of the BERT architecture by the IndoNLU team which has 74 million words from various Bahasa Indonesia sources. Therefore, this method was chosen in the hope of helping sentiment analysis on the topic of climate change so that public sentiment can be mapped. The test results obtained an F1-Score values of 95.6% with a tuning parameter of 0.00002 learning rate and 16 of batch size. Hopefully the results of this research can be used in future research.
Netflix Movie Recommendation System Using Collaborative Filtering With K-Means Clustering Method on Twitter
Authors: Muhadzdzib Ramadhan Muhammad Tsaqif , Setiawan Erwin Budi
Published: January 2023

Nowadays, the development of technology is very rapid, so watching movies at home has become a means of entertainment. Netflix is one of the platforms for watching movies and provides various movie titles. However, because of the many movie titles, it makes it difficult for users to determine the movie they want to watch. The solution to this problem is to provide a recommendation system that can provide movie recommendations to watch. Collaborative filtering is a method that exists in the recommendation system by providing recommendations based on the ratings given by other users. Collaborative filtering is divided into two, namely based on items (item-based) and based on users (user-based). Twitter is a social media used to write posts called tweets. For this system, tweets serve as data that will be processed into ratings. This research was conducted using k-means clustering with collaborative filtering and collaborative filtering only. By using a dataset obtained from Twitter by crawling data and added with ratings from IMDb, Rotten Tomatoes, and Metacritic. Which resulted in a dataset with 35 users, 785 movie titles, and 6184 reviews. Then preprocessing the data with text processing, polarity, and labeling. And get the dataset that will be used for this experiment. The results of this research test show that k-means clustering with collaborative filtering gets the best results with the best prediction of 2.8466, getting an MAE value of 0.5029, and an RMSE value of 0.6354
Analisis Elemen Visual Kemasan Indomie Goreng Edisi Ramadhan dalam Tinjauan Komunikasi Pemasaran
Authors: Nurhablisyah Nurhablisyah
Published: January 2023

Pada Maret 2021, Indomie mengeluarkan tampilan kemasan yang berbeda dari biasanya. Ilustrasi utama dalam kemasan itu adalah piring kosong bewarna hitam dengan teks “Selamat Menunaikan Ibadah Puasa,” di tengah piring. Informasi ini pertama kali diumumkan di media sosial resmi Indomie dan menjadi viral. Beberapa situ daring nasional dan lokal juga memberitakan hal tersebut. Keputusan Indomie untuk merubah tampilan kemasan tidak terlepas dari strategi komunikasi pemasaran. Penelitian ini bertujuan untuk menganalisis elemen visual kemasan indomie goreng edisi Ramadhan dalam tinjauan komunikasi pemasara. Ada tiga fungsi utama kemasan, pertama adalah sebagai pelindung produk di dalamnya, kedua adalah sebagai identitas merek dan produk, ketiga sebagai bagian strategi komunikasi perusahan menyampaikan pesan-pesan yang dapat mempengaruhi keputusan pembelian. Penelitian ini merupakan penelitian kualitatif dengan pendekatan studi kasus terhadap perubahan kemasan Indomie menjelang Ramadhan. Data yang diperoleh didapat dari studi kepustakaan dan observasi di media sosial serta toko waralaba di sekitar Jakarta dan Bogor.  Melalui elemen visual kemasan yang terbagi menjadi dua, elemen primer dan sekunder, mi instan ini berusaha menjadi berbeda namun tetap tidak meninggalkan identitasnya. Elemen visual kemasan primr terdiri dari informasi merek (nama dan tanda perusahaan), bentuk dan bahan kemasan, informasi terkait produk di dalamnya seperti label halal, nomor  registrasi BPOM, komposisi, nilai gizi, waktu kedaluwarsa dan sebagainya. Sementara elemen sekunder terdiri dari warna, grafis, ilustrasi foto maupun gambar, teks dan tata letak. Jika elemen desain kemasan diintergrasikan secara maksimal bersama strategi pemasaran maka besar kemungkinannya untuk meningkatkan reputasi  merek dan penjualan produk.Keywords: Marketing Communication, Indomie packaging, Ramadhan
The Aftermath of Disproportionality Citations: Situating Disability-Race Intersections in Historical, Spatial, and Sociocultural Contexts
Authors: Tefera Adai A. , Artiles Alfredo J. , Kramarczuk Voulgarides Catherine , Aylward Alexandra , Alvarado Sarah
Published: January 2023

We used a situated approach to examine the aftermath of citations for racial disparities in special education and discipline. The study was conducted in one suburban school district and examined staff’s interpretations and responses to multiple disproportionality citations. We found that historical, spatial, and sociocultural contexts mediated stakeholders’ interpretations and reactions to citations and the consequences of their responses. Our findings demonstrate how a history of race relations in the district and the community as well as spatial opportunity structures shaped disability and discipline racial disparities; the consequences of a damaged imagery for multiply marginalized youth and their families in explanations of disproportionality citations; and the shortcomings of the district’s symbolic and predominately color-evasive responses as a consequence of ambiguous federal and state policy mandates.
Diyadin ve Doğubayazıt Yöresi Halk Hekimliğinde Kullanılan Yabani Bitkiler
Authors: DOĞAN Oğuz
Published: January 2023

Amaç: Uzun deneyimler sonucu şekillenmiş olan bitkisel tedavi yöntemleri, geleneksel halk yaşamının önemli bir bölümünü oluşturmaktadır. Ülkemizin coğrafi bölgelerine göre farklılık gösteren bitkiye dayalı halk hekimliği uygulamaları kendi içinde ayrı ayrı araştırılmayı ve incelenmeyi gerektirdiği düşüncesinden hareketle Ağrı iline bağlı Diyadin ve Doğubayazıt ilçelerinde geleneksel olarak yürütülen bitkisel tedavi uygulamalarının çalışmayla kayıt altına alınması amaçlanmıştır.Yöntem: 08. 09. 2022 ve 11. 09. 2022 tarihleri arasında Ağrı iline bağlı Diyadin ve Doğubayazıt ilçelerinde gerçekleştirilen çalışma kapsamında yabani bitki konusunda geleneksel bilgiye sahip olan kaynak kişilerle bazı görüşmeler gerçekleştirilmiştir. Ayrıca söz konusu iki ilçede doğup büyümelerine rağmen çeşitli nedenlerden dolayı Ağrı il merkezinde ikâmet eden ve yabani bitki konusunda bilgiye sahip olan bazı kaynak kişilerle de görüşmeler yapılmıştır. Bu doğrultuda halk bilimi derleme yöntemlerinden biri olan mülakat tekniğiyle çeşitli veriler elde edilmiştir. Kaynak kişilere yabani otların; hangi zaman aralığında, ne amaçla, kimler tarafından, nasıl toplandığı ve ne gibi durumlarda kullanıldığıyla alakalı sorular yönlendirilmiştir. Kişilerin verdiği geleneksel bilgiler, izinleri dâhilinde kayıt altına alınmıştır. Ayrıca görüşme sonunda kurutularak muhafaza altına alınan bitkilerin fotoğrafları çekilmiştir.Bulgular: Diyadin ve Doğubayazıt ilçelerinde yapılan bu çalışma sonucunda yöredeki kadınların belli dönemlerde doğal ortamından topladığı 33 bitkiyi çeşitli işlemlerden geçirip hastalıklara karşı ilaç olarak kullandığı tespit edilmiştir. Geleneksel yöntemlerle kullanıma hazır hale getirilen bu bitkiler kanser, solunum yolu rahatsızlıkları, hemoroid, kadın hastalıkları, bağışıklık sisteminin güçlendirilmesi veya ruhsal sıkıntıların giderilmesi vb. gibi pek çok hastalığın tedavisinde kullanılmaktadır. Sonuç: Halk kültürünün şekillendirdiği bu uygulamalarda insanların sağlığına kavuşması maddi beklentinin çok ötesinde bir durum olarak kabul edilmektedir. Kaynak kişilerin atalarından miras kaldığını belirttiği bilgiler ışığında yürüttüğü uygulamaların temel anlayışı, bitkilerle hastalık ve rahatsızlıkları tedavi etmektir. Köklü bir geçmişe sahip olan söz konusu uygulamaların yapılacak çalışmalarla kayıt altına alınması ve böylece geleceğe aktarılması geleneksel tıbbın tarihsel gelişimi açısından oldukça önemlidir.
How does the phrasing of house edge information affect gamblers’ perceptions and level of understanding? A Registered Report
Authors: Newall Philip Warren Stirling , James Richard , Maynard Olivia M
Published: January 2023

The provision of information to consumers is a common input to tackling various public health issues. By comparison to the information given on food and alcohol products, information on gambling products is either not given at all, or shown in low-prominence locations in a suboptimal format, e.g., the “return-to-player” format, “this game has an average percentage payout of 90%”. Some previous research suggests that it would be advantageous to communicate this information via the “house edge” format instead: the average loss from a given gambling product, e.g., “this game keeps 10% of all money bet on average”. However, previous empirical work on the house edge format only uses this specific phrasing, and there may be better ways of communicating house edge information. The present work experimentally tested this original phrasing of the house edge against an alternative phrasing that has also been proposed, “on average this game is programmed to cost you 10% of your stake on each bet”, while both phrasings were also compared against equivalent return-to-player information (N = 3,333 UK-based online gamblers). The two dependent measures were gamblers’ perceived chances of winning and a measure of participants’ correct understanding. Preregistered Stage 1 protocol: https://osf.io/5npy9 (date of in-principle acceptance: 28/11/2022). The alternative house edge phrasing resulted in the lowest perceived chances of winning, but the original phrasing had the highest rate of correct understanding. Compared to return-to-player information, the original phrasing had both lower perceived chances of winning and higher rates of correct understanding, while the alternative phrasing had only lower perceived chances of winning. These results replicated prior work on the advantages of the original house edge phrasing over return-to-player information, while showing that the alternative house edge phrasing has advantageous properties for gamblers’ perceived chances of winning only. The optimal communication of risk information can act as an input to a public health approach to reducing gambling-related harm.
Healthy Ageing: A Basic Concept
Authors: Chalise Hom Nath
Published: January 2023

Rapid population aging is a characteristic of the 21st century, regardless of a nation’s level of development. An aging global population results in a burden in medical and social demographic problems worldwide. Addressing this problem is the highest priority for the care of the aging population worldwide. Healthy aging is an individual lived experience that is influenced by healthy behaviours over the course of a lifetime. This includes a person’s ability to: meet their basic needs; learn, grow and make decisions; be mobile; build and maintain relationships, and contribute to society. For the promotion of healthy aging, a healthy lifestyle is important. A healthy lifestyle for older adults includes healthy eating, regular physical activity, staying at a healthy weight, improving mental health, social participation, regular health check-ups and health screening, no smoking, and taking steps to prevent falls.
Modern methods of Stress Management and its benefits for psychological well-being
Authors: Limbachiya Hitesh S
Published: January 2023

Stress, isolation, sadness, anxiety, relationship issues, loss of a loved one, sorrow, suicidal thoughts, addiction, mood disorders, and a wide range of other mental diseases, as well as learning difficulties, can all take a toll on a person's mental health. Counseling, therapy, and medication are all tools in the toolbox of therapists, psychiatrists, psychologists, social workers, nurse practitioners, and doctors for the treatment of mental health issues. Hundreds of thousands of people have lost their employment as a result of the recent economic turmoil, which has been caused by downsizing, layoffs, mergers, and bankruptcies. Those who have lost their jobs may experience physical disease, marital strife, anxiety, sadness, and even suicidal thoughts as a result of the stress they are under. What time you wake up in the morning, who you see, and what you can afford to do all change when you lose your work. This article's goal is to help readers learn the fundamentals of treating stress and taking the steps they need to take to reduce their own stress levels.
The Effectiveness of Various Aromatic Vegetable Extracts to Control Fruit Fly (Bactrocera dorsalis) Pests in Chili
Authors: Bulawan Juniaty Arruan , Mpia La , Tojang Djunarlin , Hasbiadi H. , Rahim R.
Published: January 2023

Chili is one of the most valuable horticultural commodities, yet production is declining year after year. Fruit fly pests, which cause losses of 30-60%, are a stumbling block to growing chili production. Several types of aromatic vegetable extracts were used in this investigation, including clove leaves, babadotan, citronella leaves, and basil leaves, all of which have been found to contain methyl eugenol components. The goals of this study were to find the most efficient form of aromatic vegetable extract for usage as a fruit fly pest attractant and to see how different aromatic vegetable extracts affected the intensity of fruit fly pests.  The treatments were set up in a completely random order and were repeated three times. Planting chilies, creating aromatic vegetable extracts, making traps, deploying traps in the field, estimating the number of trapped fruit fly populations, and finally assessing the results were all part of this study. P1 = clove leaf extract, P2 = babadotan leaf extract, P3 = citronella leaf extract, and P4 = basil leaf extract are the therapies that will be provided. Bactrocera dorsalis was identified as the captured fruit fly species. The clove leaf extract treatment had the most fruit flies captured (35.67), while the babadotan leaf extract had the least (29.76), but none of the treatments were substantially different