bluuebunny/crossref_metadata_2025 huggingface dataset:
CATACUMBAS DE SOL
Authors: Pinheiro-Mariz Josilene , Barbosa Maria Jiennalle Rodrigues , Teixeira Milena Gemir
Published: July 2023

Nascido em Caiena, Guiana Francesa, em 1944, Élie Stephenson é um dos grandes escritores guianenses da atualidade. Autor de diversos livros, passeando entre os mais diferentes gêneros como a poesia, o romance, o conto e o teatro, sua obra traz a marca de um ativismo pleno de lirismo e coragem. Catacumbas de sol é uma obra composta por uma coletânea de poemas que retratam os mais diversos temas dentro de uma vasta e incisiva realidade vivenciada pelo povo guianense e traduzidas do original, Catacombes de soleil, por Dennys Silva-Reis. Os poemas que compõem essa antologia de Stephenson revelam uma escrita, em que o autor transforma silêncios em sons, gritos, força e urgência. Assim como parece ser urgente uma Guiana Francesa livre e não mais um “un rien de pays”, conforme ele trata em uma de suas peças teatrais mais marcantes dessa força de revolta lírica
LITERATURA E CINEMA
Authors: Varjão Thiago de Brito , Oliveira Kate Constantino
Published: July 2023

A região geográfica do Brasil definida como Nordeste desponta como uma área onde se propagam os mais diversos mitos calcados em figuras masculinas; desta forma, não é à toa que os cangaceiros, os valentões, os beatos e santos e toda a sorte de personagens encontram um terreno fértil na construção de um modelo de fetichização representativa do Nordeste por vezes negativamente, exaltando a violência, a barbaridade e os desmandos, noutras positivamente ao criar heróis e grandes feitos humanos e sobrenaturais. A partir do cotejamento entre imagens provenientes da literatura de cordel e do cinema, procuramos estabelecer um estudo interdisciplinar entre os discursos e imagens que reverberam entre estas mídias no sentido de entender que são fundamentais para a criação da mitogênese do cangaço, afinal constroem tanto uma realidade sociocultural quanto um sistema de comunicação; assim, podemos entender o Nordeste como uma feira de mitos com características particulares na história do país. A literatura de cordel através dos poetas-escritores e o cinema com o gênero Nordestern aparecem nesse percurso como mídias propagadoras de mitos, sobretudo dos cangaceiros e da ecologia que os cercam e seu habitat natural que é o sertão.Palavras-chave: Cangaço; Cordel; Cinema; Mito
DRUMMOND E OS “NOVÍSSIMOS”
Authors: Almeida Cleber Ranieri Ribas de
Published: July 2023

Neste breve artigo tentarei desvelar os motivos cômicos implícitos no poema “Tarde de Maio”, de Carlos Drummond de Andrade. A despeito do tom trágico que caracteriza o poema, é provável que Drummond tenha feito uso retórico do tom de súplica a um ente divino para, com esse gesto cênico, arremedar comicamente o estilo poético próprio dos poetas puristas, representados, naquele período da poesia brasileira, pelos jovens poetas da Geração de 1945, os autodenominados “novíssimos”. Afinal, era recorrente que aqueles jovens acusassem Drummond de copiá-los e plagiá-los. O poeta mineiro, então, escreveu “Tarde de Maio” no intuito de imitar o estilo da poesia pura praticado pelos “novos”, porém, não o fez por reverência, mas como um cômico que se põe a ridicularizar seus oponentes. Para provarmos essa hipótese de leitura, inicialmente, apresentaremos algumas evidências textuais que nos permitirão desvelar o significado enigmático da expressão “tarde de maio”. Explicado sentido da expressão, poderemos compreender porque Drummond, no poema, denominou os “novíssimos” de “primitivos”. As evidências textuais aqui apontadas são as seguintes: i) a expressão “tarde de maio” foi preconcebida por Drummond numa crônica intitulada “Aos Nascidos em Maio” (publicada em maio de 1948); ii) a estrofação do poema, dividido em quatro estrofes com nove versos cada uma, foi inspirada na cosmologia camoniana das esferas, o que revela a unidade cosmológica entre “Tarde de Maio” e “A Máquina do Mundo”; iii) ao lermos o artigo “Poesia de França” (publicado em junho de 1948) podemos concluir que “Tarde de Maio” foi escrito para parodiar os cacoetes da poesia pura bremondiana e claudeliana; iv) ao longo do poema, Drummond aludiu ao quádruplo simbolismo claudeliano (pírico, aquático, aéreo e telúrico). Por isso, antes de consumar “Tarde de Maio”, o poeta traduziu um poema de Paul Claudel (“O Crucifixo”) e o publicouno jornal A Manhã, em abril de 1949; v) o poema de Drummond, ao que tudo indica, foi ironicamente inspirado no tom rogatório de um samba-canção também intitulado “Tarde de Maio”. A canção, gravada em 1949 pelo cantor Sílvio Caldas, tem o mesmo tom de rogo a um ente divino desenvolvido no poema.Palavras-chave: Drummond, Tarde de Maio, Geração de 45, Poesia Pura
MÉTODO DIRETO PARA O ENSINO DE INGLÊS NOS JORNAIS DO BRASIL NAS DÉCADA DE 1930 E 1940
Authors: Gomes Rodrigo Belfort
Published: July 2023

O Método Direto para o ensino das línguas vivas aportou de forma oficial no Brasil na década de 1930, amparado legalmente pela Reforma Francisco Campos. Rapidamente, tornou-se popular e sinônimo de modernidade e inovação, frente a um contexto bélico, que gerou uma campanha de união hemisférica, encabeçada pelos Estados Unidos, país que popularizou o método. Com grande circulação no Brasil, os jornais logo refletiram essa popularização em seus anúncios de aulas e cursos particulares. Desta forma, é objetivo deste capítulo, analisar a presença de propagandas e outros tipos de texto presentes em jornais da época, que se refiram ao Método Direto para o ensino de inglês. Após análise, foi possível perceber uma grande quantidade de anúncios e artigos envolvendo o método direto.Palavras-chave: Método Direto; Ensino de língua inglesa; Jornais; Brasil
Produtividade do Cynodon Ssp CV. Tifton 85 em relação ao Peninsetum Purpureum BRS Kurumi no sudeste do Pará
Authors: Oliveira Raytane Chaves , Dim Valdineia Patrícia
Published: August 2023

O objetivo do trabalho é analisar a produtividade das cultivares Tifton 85 e BRS Kurumi sob irrigação no Sudeste do Pará. Produtores buscam para seus sistemas de produção elementos que acrescentem de forma significativa visando o menor custo sem que se perca a qualidade. O experimento realizado no assentamento Arraia Porã, localizado no município de Redenção/PA, avaliação em delineamento inteiramente casualizado. O desempenho comparativo apresentou melhor produtividade da poacea BRS Kurumi com idade de 90 dias que teve melhor adaptabilidade e produção de matéria seca mesmo em período sazonal.
Synthesis, characterization and evaluation of antioxidant, anticancer and toxicity properties of silver nanoparticles synthesized from Syzygium aromaticum
Authors: Vishal Jambulingam , Ranjani Soundharajan , Karunya Ravindranath Jenin , Hemalatha Srinivasan
Published: July 2023

Background: Syzygium aromaticum, also known as clove, and its essential oil has already been proved to have antioxidant, anti-inflammatory and anticancer properties. Clove is used in various foods owing to its potent antimicrobial and antioxidant properties. Essential oil extracted from clove has been used in traditional medicine for treating various ailments.
Methods: In silico analyses of phytocompounds of Syzygium aromaticum namely eugenol, B-caryophyllene, gallic acid, crategolic acid, kaempferol, quercetin, cinnamaldehyde, and oleanolic acid were docked with three apoptotic proteins involved in breast cancer, namely BCL-2, BAX and APAF-1 using AUTODOCK. In addition, flower bud extract of Syzygium aromaticum was used for the synthesis of AgNPs (silver nanoparticles). The synthesized clove-silver nanoparticles were then characterized using various techniques such as Ultraviolet-visible spectrophotometry, FTIR, FESEM-EDX, DLS and zeta potential to determine the particle size, shape, crystalline structure, and stability of CL-AgNPs and tested for its anticancer potential in MCF-7 cell lines. 
Results: In silico analysis predicted that phytochemicals of clove have good interactions with the apoptosis related proteins of breast cancer. In vitro assay confirmed the cytotoxic effect of the synthesized CL-AgNPs on breast cancer cells using the MCF-7 cell line with the IC50 value of 58.64 µg/ml.
Conclusion: In vitro analysis of the anticancer activity of CL-AgNPs in MCF-7 cell line supports the in silico study by proving active interactions between the phytochemicals of clove and target proteins of the breast cancer and hence Syzygium aromaticum has been proved to possess potential anticancer property. Further research is needed to consider clove-silver nanoparticles as a novel drug for treating breast cancer.
ПРОФЕСІЙНЕ САМОВДОСКОНАЛЕННЯ СОЦІАЛЬНОГО ПЕДАГОГА В ЗАКЛАДАХ ПРОФЕСІЙНОЇ ОСВІТИ
Authors: Ткачова Яна
Published: August 2023

У статті проаналізовано особливості професійногосамовдосконалення соціального педагога в закладах професійної освіти. Актуальність означеної проблеми зумовлена усвідомленням фахівцями гострої потреби у безперервному поглибленні та розширенні набутих знань, умінь і навичок для успішного виконання завдань у межах професійної діяльності, розвитку творчого потенціалу задля розв’язання проблемнихситуацій у фаховій праці, їхніми стійкими прагненнями до самовдосконалення та самореалізації. Автором визначено істотні характеристики і ключові механізми професійного самовдосконалення педагогічних працівників в умовах воєнного стану, що проявляється вудосконаленні професійних компетентностей. До ефективних способів професійного самовдосконалення соціальних педагогів віднесено самоосвітню діяльність у міжкурсовий період підвищення кваліфікації.Результативними механізмами цього процесу обґрунтовано активізацію особистісного потенціалу та раціональне його використання у проєктуванні професійного саморозвитку.
ОБҐРУНТУВАННЯ ВИБІРКИ КОЛЕДЖІВ ДЛЯ ОРГАНІЗАЦІЇ ДОСЛІДЖЕННЯ З РОЗВИТКУ ПІДПРИЄМНИЦЬКОЇ КОМПЕТЕНТНОСТІ МАЙБУТНІХ ХУДОЖНИКІВ-ВИКОНАВЦІВ
Authors: Шестерікова Людмила
Published: August 2023

Визначено кількість фахових коледжів, які готуютьмайбутніх художників-виконавців за спеціалізацією «Образотворче мистецтво» та похідними («Живопис», «Художнє оформлення»). Представлено обґрунтування об’єму вибіркової сукупності педагогічного експерименту з розвитку підприємницької компетентності майбутніх художників-виконавців для забезпечення репрезентативності його результатів.
A Corpus-Based Study of Interpersonal Metaphors of Modulation in Academic English
Authors: Guo Man , Gao Nan
Published: July 2023

This article presents a study on the synchronic distributions of interpersonal metaphors of modulation based on the British National Corpus (BNC). The synchronic research reveals that interpersonal metaphors of modulation are mode-sensitive to written texts. Regarding genre distribution, metaphorical obligations driven by the explicit orientation dominate fiction texts. In contrast, the objective orientation drives obligations to be more prevalent in academic texts or more technical genres. The objective orientation of metaphorical inclinations is notably prevalent in newspapers and magazines other than academic texts. Besides, the findings highlight that the inherent personal and subjective characteristics of interpersonal modulations remain unchanged in their metaphorical forms, demonstrating less objectivity compared to ideational metaphors in highly technical disciplines.
Cebuano-Visayan Superbalita Select News Articles: A Morphosyntactic Analysis
Authors: Reponte-Sereño Raiza Rhea
Published: July 2023

The present study conducted an analysis of the morphosyntactic structures found in three specific news articles from the Cebuano-Visayan SuperBalita publication. The articles in question are titled "34 ka menor naluwas sa CCPO", "Signal Shutdown Sa Pasigarbo Sa Sugbo", and "Manindahay Sa Carbon Nabalaka Sa Grabi'ng Alkansi". The study aimed to address the following inquiries: the immediate constituents and rewrite rules of syntactic structures and the morphemic structures that comprise the content words within sentences of the news articles. The research employed a qualitative approach, specifically utilizing structural analysis. The frameworks of Corder's linear grammar and Pesirla's pedagogic grammar were employed, yielding the subsequent discoveries: The analysis of the three chosen textual samples revealed the presence of sixteen simple sentences, eleven complex sentences, and one compound sentence, specifically sentence 3, which was identified through its corresponding rewrite rules. The second problem's data unveiled the morphemic structures of content words, exhibiting a total of fifty nouns, fifty-eight verbs, five adjectives, and five adverbs. Most of the nouns present in the text are in their simple form, while three of them are compound nouns, namely uplan bulabug, minur di idad, and tunga’ng gabi. The prefix "ka" is employed in the formation of five complex nouns, namely kadagku-an, kagamhanan, kalihukan, kahigayuan, and kasumaran. On the other hand, the base words pama-agi and pasigarbu are utilized in the formation of the remaining two complex nouns, using the prefixes "pama" and "pasi". Most verb prefixes are observed to be bound morphemes, specifically "gi", "nag", "mag", "gipa", and "mu". The three chosen news articles from Cebuano-Visayan Superbalita exhibit the manifestation of morphosyntactic linearity, as indicated by the findings. Therefore, additional research on morphology and syntax may serve as a starting point for discourse that employs indigenous languages.
Hubungan Pengetahuan dan Sikap Remaja Mengenai Gizi Seimbang dengan Status Gizi pada Masa Pandemi Covid-19
Authors: Malini Desak Made , Setiawati Tia , Alipn Kartiawati , Fitriani Nurullia
Published: August 2023

ABSTRACT Maintaining a balanced nutritional intake is crucial to attaining the ideal nutritional status and optimal growth and development in adolescents. COVID-19 pandemic is also a driving factor for maintaining nutritional status as it will preserve the body's immune system in combating viral infections. Knowledge and attitudes related to balanced nutrition are one of the contributing factors to encourage adolescents to maintain their nutritional status. This study aimed to determine the relationship between the level of knowledge and attitudes related to balanced nutrition on nutritional status in adolescents aged 17-20 years. The research design used was a cross-sectional approach and the data were analyzed by the Chi-square test (α = 0.05). The results showed that there was no significant relationship between the level of knowledge and attitudes related to animal protein, fiber and vitamins, micro and macro minerals, general guidelines for balanced nutrition, and the four pillars of balanced nutrition on nutritional status (α> 0.05). It can be concluded that the level of knowledge and attitudes of adolescents does not directly influence the nutritional status of adolescents aged 17-20 years during the COVID-19 pandemic. Keywords: Adolescents Attitude, Adolescents Knowledge, COVID-19, Nutritional Status  ABSTRAK Menjaga asupan gizi yang seimbang merupakan hal yang krusial untuk memiliki status gizi yang ideal dan untuk mencapai pertumbuhan dan perkembangan remaja yang optimal. Kondisi pandemi COVID-19 menjadi faktor pendorong untuk tetap mempertahankan status gizi karena dapat menjaga sistem imunitas tubuh dalam melawan infeksi virus. Pengetahuan dan sikap terkait gizi menjadi salah satu faktor yang berkontribusi untuk mendorong remaja dalam menjaga status gizinya. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat pengetahuan dan sikap terkait gizi seimbang dengan status gizi pada remaja berusia 17-20 tahun. Metode penelitian yang digunakan adalah pendekatan cross-sectional dan data dianalisis dengan uji Chi-square (α = 0,05). Hasil penelitian menunjukkan tidak ada hubungan yang signifikan antara tingkat pengetahuan dan sikap terkait protein hewani, serat dan vitamin, mikro dan makro mineral, pedoman umum gizi seimbang, dan empat pilar gizi seimbang dengan status gizi (α>0,05). Hal ini dapat disimpulkan bahwa tingkat pengetahuan dan sikap remaja tidak memberikan pengaruh secara langsung dengan status gizi remaja berusia 17-20 tahun di masa pandemi COVID-19. Kata Kunci: COVID-19, Sikap Remaja, Status Gizi, Tingkat Pengetahuan Remaja
Kajian Pustaka Montelukas: Pengobatan Asma pada Anak
Authors: Devi Selinda Anggia , Herawati Fauna Herawati
Published: August 2023

ABSTRACT Chronic airway inflammation is a major characteristic of asthma. Montelukast is a class of leukotriene receptor antagonists (LTRA) which has the most widely used anti-inflammatory properties because it shows the best effectiveness and safety. Many in vitro and in vivo experimental clinical studies have been published in the last 10 years covering the effectiveness and safety of montelukast in childhood asthma of varying degrees of severity. Montelukast is used as an alternative monotherapy for the ICS class or as an adjunct to enhance the anti-inflammatory and sparing effects of corticosteroids. montelukast as a treatment for asthma in children can be given in cases of mild to moderate persistent asthma, wheezing due to viruses, asthma due to exercise, and intolerance of steroid use in children. The advantages of montelukast as monotherapy are fast onset in controlling asthma, low side effects, given once daily oral administration without the need for an inhaler thereby increasing pediatric patient compliance.           Keyword: Asthma, Children, Montelukast, Cysteinyl Leukotriene Receptor Antagonist.  ABSTRAK Inflamasi saluran napas kronis merupakan karakteristik utama asma. Montelukas merupakan golongan antagonis reseptor leukotrien (LTRA) memiliki sifat antiinflamasi yang paling banyak digunakan karena menunjukkan efektivitas dan keamanan terbaik. Penelitian klinis eksperimental baik in vitro maupun in vivo sudah banyak diterbitkan dalam 10 tahun terakhir mencakup efektivitas dan keamanan montelukas pada asma anak dengan derajat keparahan berbeda-beda. Montelukas digunakan sebagai monoterapi alternatif untuk golongan ICS atau sebagai tambahan untuk meningkatkan efek antiinflamasi dan meminimalisir penggunaan kortikosteroid. Montelukas sebagai pengobatan asma pada anak dapat diberikan pada kasus asma ringan sampai dengan persisten sedang, sesak oleh karena virus, dan asma akibat aktivitas berat, serta kondisi intoleransi steroid. Keuntungan montelukas sebagai monoterapi antara lain memiliki waktu onset cepat dalam mengendalikan asma dengan efek samping rendah pada pemberian oral sehari sekali tanpa penggunaan inhaler sehingga meningkatkan kepatuhan pasien anak. Kata Kunci: Asma, Anak, Montelukas, Cysteinyl Leukotriene Receptor Antagonist.
Persepsi Masyarakat Pesisir tentang Vaksin Booster selama Masa Pandemik Covid-19
Authors: Alfikrie Fauzan , Hidayat Uti Rusdian , Hatmalyakin Debby , Anjarwadi Ihsan Angga
Published: August 2023

ABSTRACT The acceptance of booster vaccines in the community is still low. The low acceptance of boosters in the community is associated with the safety level, efficacy and side effects of the vaccine that can be experienced. This study aims to identify community perception of receiving the COVID-19 boosters in the Coastal Areas of West Kalimantan, Indonesia. The research design used in this study was descriptive analytic with a cross-sectional study approach. A total of 90 respondents involved in this study were selected randomly, where the proportion of each respondent was selected based on the achievement of receipts advanced vaccines in the region. The statistical test used in this study is the chi square test. The results of this study most of the respondents had a basic education level of 30%, 62,2% female, 12,2% history of being infected with Covid-19, 55,6% not working, 53,3% the distance between home and vaccination service centre is more than 1 km. The results of the perception analysis with vaccination status obtained a value of p = 0.029 (<0.05). People who have a good perception of the COVID-19 vaccine choose to receive the follow-up vaccine to prevent transmission of COVID-19 Keywords: Perception, Booster Vaccines  ABSTRAK Penerimaan vaksin lanjutan pada masyarakat masih rendah. Rendahnya penerimaan vaksin lanjutan pada masyakat dikaitkan dengan tingkat keamanan vaksin, kemanjuran vaksin dan efek samping vaksin yang dapat dialami. Tujuan penelitian ini adalah untuk mengidentifikasi persepsi masyarakat dalam penerimaan vaksin COVID-19 lanjutan di Wilayah Pesisir Kalimantan Barat, Indonesia.  Desain penelitian yang digunakan pada penelitian ini yaitu deskriptif analitik dengan pendekatan studi cross-sectional. Sebanyak 90 responden terlibat dalam penelitian ini dipilih secara random, dimana proporsi setiap respoden dipilih berdasarkan pada capaian penerimaan vaksin lanjutan di wilayah tersebut. Uji statistik yang digunakan pada penelitian ini adalah chi squere test. Hasil penelitian menjelaskan sebagian responden berpendidikan SD sebanyak 30%, perempuan 62,2%, sebagian pernah terinfeksi COVID-19 yaitu 12,2%, sebagian dari mereka tidak bekerja 55,6%, dan jarak rumah dengan sentral pelayanan vaksin lebih dari 1 km yaitu 53,3%. Hasil analisis persepsi dengan status vaksinasi diperoleh nilai p= 0,029 (< 0,05). Masyarakat yang memiliki persepsi yang baik tentang vaksin COVID-19 memilih menerima vaksin lanjutan untuk mencegah penularan COVID-19. Kata Kunci: Persepsi, Vaksin Booster
The development of Web-based information system using quick UDP internet connection
Authors: Lokapitasari Belluano Poetri Lestari , Enrico Panggabean Benny Leonard , Purnawansyah Purnawansyah , Kasmira Kasmira
Published: July 2023

The Academic Information System (xSIA) is built to its users to manage Study Program modules, including student academic grades. xSIA applying the Moodle Learning Management System (LMS) was developed by implementing Quick UDP Internet Connection (QUIC) technology with the HTTP/3 protocol which can demonstrate protocol transaction speed performance. The design of information systems and databases employs the Convention Over Configuration paradigm. The Prototyping Model is used to graphically represent the workflow of the system with an experimental research design. System modeling utilizes Unified Modeling Language (UML) tools, Data Base Management System (DBMS) using PostgreSQL, and UDP ports as a means of data communication. The implementation of Quick UDP Internet Connection (QUIC) on the xSIA moodle LMS is effective for real-time communications that do not require conditions to open, maintain, or terminate connections as in streaming video conference. It is also optimal because the UDP data is transferred individually and checked for its integrity upon arrival. When a video streaming transaction last 02:36 seconds with a file size of 4.1mb, there is a significant difference of 100.98ms in the waiting time to first byte (ttfb).
Hierarchical clustering for crime rate mapping in Indonesia
Authors: Gustriansyah Rendra , Alie Juhaini , Suhandi Nazori
Published: July 2023

The Sustainable Development Goals (SDGs) are a blueprint for improving the human life quality. Goal 16 (G16) is related to security, and it is in line with the Universal Declaration of Human Rights and the Preamble to the 1945 Constitution. To support the implementation of the G16 achievement, the Indonesian National Police (Polri) has made serious efforts to provide a sense of safety for the community and to minimize crime rates. One of the efforts that could be made is to map areas based on the level of crimes so that the Polri can determine the appropriate strategy/priority of action for mitigation. Therefore, this study aimed to cluster provinces in Indonesia based on the four G16 indicators of the SDGs related to security, namely the number of homicide cases, the victim proportion, the proportion of people who feel safe walking alone in the area where they live, and the proportion of victims of violence that  reported to the police in the past year using five hierarchical clustering methods, namely: Single-Linkage, Average-Linkage, Complete-Linkage, Ward, and Division Analysis. Then, methods were validated and compared using six cluster validations to obtain the most compact method. The results showed that Ward's method outperformed the others and produced three clusters. Clusters 1, 2, and 3 contained 18, 5, and 11 provinces respectively.
Information technology governance in University of Muhammadiyah Palembang using framework COBIT 5 domain; Evaluate, Direct and Monitor (EDM)
Authors: Elsi Zulhipni Reno Saputra , Karnadi Karnadi , Jimmie Jimmie , Putra Fajrie Agus Dwino , Hartini Hartini , Agustanti Sri Primaini
Published: July 2023

This study aims to find out about Information Technology management at Muhammadiyah University of Palembang and to get right advice in managing Information Technology from the University level to the Study Program. Regarding benchmarks in Information Technology Governance use the Cobit 5 framework with the Evaluate, Direct and Monitor domains. Monitoring and evaluation was carried out using a questionnaire distributed to lecturers and employees at the Muhammadiyah University of Palembang and the researchers did observations on the management of higher education information technology governance. Based on the questionnaire result, the highest gap occurs in sub domain 4, which is 3.65 while the observation result towards the capability level is at level 3 with a value of 56.67%, the sub domain ensuring resource optimization has the highest capability value of 66.67%. Based on the data obtained using the EDM domain, the University of Muhamadiyah Palembang has to set Standard Operating Procedures (SOP) and Work Instructions (IK) so every five processes can run well to create good IT governance.
Factor analysis satisfaction levels of users toward the JKN mobile application in the COVID-19 Era using the PIECES framework
Authors: Gustiawan Randa , Pribadi Ulung
Published: July 2023

This study aimed to prove the researcher's hypothesis regarding users’ factor analysis satisfaction of the Mobile JKN application in the Covid-19 era in Sungai Penuh City using the PIECES framework. The measurement variables of the PIECES framework were performance, information, economy, control, efficiency, and service. In this study, researchers used quantitative descriptive methods with data sources from questionnaires via google form with 101 respondents, and data processing was carried out using SEM-pls. The results of this study indicated the value of R square was 0.732. It can be concluded that the interpretation of the users’ satisfaction level of the application was 73.2%, which R-square identifies in the Strong/Good category. Several PIECES variables that has a significant effect on people's satisfaction with the JKN mobile application were efficiency and performance variables with P values of 0.004 and 0.033 while variables that did not have significant effect were control, economy, information and services.
Association of single nucleotide polymorphism and phenotype in type 2 of diabetes mellitus using Support Vector Regression and Genetic Algorithm
Authors: Siregar Ratu Mutiara , Kusuma Wisnu Ananta , Annisa Annisa
Published: July 2023

Precision Medicine is used to improve proper health care and patients' quality of life, one of which is diabetes. Diabetes Mellitus (DM) is a multifactorial and heterogeneous group of disorders characterized by deficiency or failure to maintain normal glucose homeostasis. About 90% of all DM patients are Type 2 Diabetes Mellitus (T2DM). Biological characteristics and genetic information of T2DM disease were obtained by looking for associations in Single Nucleotide Polymorphism (SNP) which allows for determining the relationship between phenotypic and genotypic information and identifying genes associated with T2DM disease. This research focuses on the Support Vector Regression method and Genetic Algorithm to obtain SNPs that have previously calculated the correlation value using Spearman's rank correlation. Then do association mapping on the SNP results from the SVR-GA selection and check pastasis interaction. The results produced 14 SNP importance. Evaluation of the model using the mean absolute error (MAE) obtained is 0.02807. If the value of MAE is close to zero, then a model can be accepted. The genes generated from the association can be used to assist other researchers in finding the right treatment for T2DM patients according to their genetic profile.
Semantic segmentation of pendet dance images using multires U-Net architecture
Authors: Ramdan Hendri , Soeleman Moh. Arief , Purwanto Purwanto , Imran Bahtiar , Pramunendar Ricardus Anggi
Published: July 2023

As a cultural heritage, traditional dance must be protected and preserved. Pendet dance is a traditional dance from Bali, Indonesia. Dance recognition raises a complex problem for computer vision research because the features representing the dancer must focus on the dancer's entire body. This can be done by performing a segmentation task process. One type of segmentation task in computer vision is the semantic segmentation. Mask R-CNN and U-NET were employed in this task. Since it was first introduced in 2015, semantic segmentation using the U-Net architecture has been widely adopted, developed, and modified. One of the new architectures applied is the MultiRes UNet. This study carries out a semantic segmentation task on the Balinese Pendet dance image using the MultiRes UNet architecture by changing the value of α (alpha) to obtain the best results. This architectural is evaluated by DC score, Jaccard index, and MSE. In this dataset, the alpha value of 1.9 resulted in the best score for DC and the Jaccard index with 98.47% and 99.23% respectively. On the other hand, an alpha value of 1.8 obtained the best score of MSE with 8.20E-04.
Classification of Lombok Pearls using GLCM Feature Extraction and Artificial Neural Networks (ANN)
Authors: Karim Muh Nasirudin , Pramunendar Ricardus Anggi , Soeleman Moch Arief , Purwanto Purwanto , Imran Bahtiar
Published: July 2023

This study used the second-order Gray Level Co-occurrence Matrix (GLCM) and pearl image classification using the Artificial Neural Network (ANN). No previous research combines the GLCM method with artificial neural networks in pearl image classification. The number of images used in this study is 360 images with three labels, including 120 A images, 120 AA images, and 120 AAA images. The epochs used in this study were 10, 20, 30, 40, 50, 60, 70, and 80. The test results at epoch 10 got 80.00% accuracy, epoch 20 got 90.00% accuracy, epoch 30 got 93.33% accuracy, and epoch 40 got 94.44% accuracy. In comparison, epoch 50 got 95.55% accuracy, epoch 60 got 96.66% accuracy, epoch 70 got 96.66% accuracy, and epoch 80 got 95.55% accuracy. The combination of the proposed methods can produce accuracy in classifying pearl images, such as the classification test results.
Classification of stroke patients using data mining with adaboost, decision tree and random forest models
Authors: Imran Bahtiar , Wahyudi Erfan , Subki Ahmad , Salman Salman , Yani Ahmad
Published: July 2023

A stroke is a fatal disease that usually occurs to the people over the age of 65. The treatment progress of the medical field is growing rapidly, especially with the technological advance, with the emergence of various medical record data sets that can be used in medical records to identify trends in these data sets using data mining. The purpose of this study was to propose a model to classify stroke survivors using data mining, by utilizing data from the kaggle sharing dataset. The models proposed in this study were AdaBoost, Decision Tree and Random Forest, evaluation results using Confusion Matrix and ROC Analysis. The results obtained were that the decision tree model was able to provide the best accuracy results compared to  the other models, which was 0.953 for Number of Folds 5 and 10. From the results of this study, the decision tree model was able to provide good classification results for stroke sufferers.
Multiplayer mechanism design for soil tillage serious game
Authors: Adisusilo Anang Kukuh , Wahyuningtyas Emmy , Saurina Nia , Radi Radi
Published: July 2023

The primary goal of Serious Games is not only for fun but also for lesson. In learning the first stage of soil tillage which using the mouldboard plow, a proper understanding is needed so that the soil tillage process will follow the needs of plant growth. The use of serious games as a study instrument for soil tillage is under the concept of digital game-based learning (DGBL). The problem of players when playing serious games is less motivated to play because the serious game system and scenario are less challenging. That challenges accelerate the shape of knowledge and experience when playing the games (user experience). By referring to the Learning Mechanics Gaming Mechanics (LM-GM) model, which is based on multiplayer in serious games, hopefully the learning process of land management using the mouldboard plow can be optimized. This process can increase learning motivation and elevate the user experience. This research results a design concept of a learning mechanism and a game mechanism for a serious multiplayer game of soil tillage with a mouldboard plow. There are three types of learning mechanisms in conceptual and concrete components, also six types of game mechanisms that can be used as a reference for the formation of multiplayer serious games and the increase player motivation.
Application of the Fuzzy C-Means Method in Grouping Heart Abnormalities Based on Electrocardiogram Medical Records
Authors: Sumiati Sumiati , Suherman Suherman , Firzatullah Raden Muhamad , Triayudi Agung , Fadjar Agung Rahmad
Published: July 2023

Heart disease is the main cause of death which can be diagnosed using an electrocardiogram. This study aims to classify heart defects using the Fuzzy C Means technique. The advantage of using Fuzzy C Means is that it is unsupervised and can reach a convergent cluster center under certain conditions. It is a clustering model that has the value of the objective function, number of iterations and completed time. In an unsupervised learning, the focus is more on exploring data such as looking for patterns in the data. Clustering itself aims to identify patterns of similar data to be grouped. It can be a solution to overcome the process of determining the risk of heart disease. The results showed that there were 10 data grouped into cluster 1 and 10 data into cluster 2. The first group (Cluster 1) consisted of patients with serial numbers 3,5,8,9,11,12,16,17,19,20, while the second group (Cluster 2) consisted of patients with serial numbers 1,2,4,6,7,10,13,14,15 and 18. Accuracy testing results in a success rate of 60%.
User Interface and User Experience Analysis of Kejar Mimpi Mobile Application using the User-Centered Design Method
Authors: Angela Brigitha Valensia , Wulansari Tina Tri , Riyayatsyah Riyayatsyah , Fitrianto Yuli , Rahim Abdul
Published: July 2023

User criticism on the Play Store revealed some flaws in the Kejar Mimpi App review. Observations were made on research that discussed the Kejar Mimpi Application, and it discovered that no prior research on User Experience and User Interface had been conducted. Interviews will be conducted to collect additional data, and the initial questionnaire will be distributed on May 6, 2022. Developers and designers use User-Centered Design (UCD) design methodologies to ensure that the product or system meets the users' needs. This study used the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) methods or techniques to assess user interface and user experience. This research has produced as many as 24 design recommendations and a style guide. The final evaluation results measured using the SUS questionnaire increased the average value by 14,9% from a value of 67 (adjective rating Ok category, grade scale D, High Marginal category) to 77 (adjective rating Good, grade scale C, Acceptable category). The results of the UEQ also have gained an average increase in the ratio, where previously most were in below-average positions, now in good positions. Research on the user interfaces analysis and user experience of the Kejar Mimpi Application has the potential to be developed further. Therefore, the author has several suggestions that can be used for further research so that prototype part can be developed again to be more responsive and use different methods for evaluation of design results, such as Eye Tracking, Cognitive Walkthrough, and Heuristic Evaluation.
Fuzzy C-Means with Borda Algorithm in Cluster Determination System for Food Prone Areas in Aceh Utara
Authors: Ula Mutammimul , Ula Munirul , Yulisda Desvina , Susanti Susanti
Published: July 2023

In this research, the clustering of food prone areas in Aceh Utama is based on the Index Ketahanan Pangan (IKP) indicators compiled by Badan Ketahanan Pangan (BKP) using Fuzzy C-Means (FCM) and Borda algorithms. The fuzzy C-Means algorithm was used to classify food-prone areas with three clusters: very prone, moderately prone, and prone. The Borda algorithm was used to choose the most prone area from very prone clusters, which are considered urgently to be followed up by decision-makers. Based on the research results, it was found that in the aspect of food availability, four sub-districts are moderately prone, 10 are prone, and 13 are very prone. Regarding food affordability, it found that 12 sub-districts are moderately prone, seven are prone, and eight are very prone. Regarding food utilization, one sub-district is moderately prone, three are prone, and 23 are very prone. The results of voting using the Borda algorithm in very prone clusters are obtained Sawang District from the aspect of food availability, Syamtalira Aron District from the aspect of food affordability, and Lapang District from the aspect of food utilization. The clustering system is built based on the web using the PHP programming language.
Classification of Engineering Journals Quartile using Various Supervised Learning Models
Authors: Putri Nastiti Susetyo Fanany , Wibawa Aji Prasetya , Ar Rasyid Harits , Handayani Anik Nur , Nafalski Andrew , Hawali Edinar Valiant , Hammad Jehad A.H.
Published: July 2023

In scientific research, journals are among the primary sources of information. There are quartiles or categories of quality in journals which are Q1, Q2, Q3, and Q4. These quartiles represent the assessment of journal. A classification machine learning algorithm is developed as a means in the categorization of journals. The process of classifying data to estimate an item class with an unknown label is called classification. Various classification algorithms, such as K-Nearest Neighbor (KNN), Naïve Bayes, and Support Vector Machine (SVM) are employed in this study, with several situations for exchanging training and testing data. Cross-validation with Confusion Matrix values of accuracy, precision, recall, and error classification is used to analyzed classification performance. The classifier with the finest accuracy rate is KNN with average accuracy of 70%, Naïve Bayes at 60% and SVM at 40%. This research suggests assumption that algorithms used in this article can approach SJR classification system.
Short-Term Load Forecasting using Artificial Neural Network in Indonesia
Authors: Sumarauw Sylvia Jane Annatje
Published: July 2023

Short-term Load Forecast (STLF) is a load forecasting that is very important to study because it determines the operating pattern of the electrical system. Forecasting errors, both positive and negative, result in considerable losses because operating costs increase and ultimately lead to waste. STLF research in Indonesia, especially the State Electricity Company (PLN Sulselrabar), has yet to be widely used. Methods mainly used are manual and conventional methods because they are considered adequate. In addition, Indonesia's geographical conditions are extensive and diverse, and the electricity system is complex. As a result, the factors affecting each country's electricity demand are different, so unique forecasting methods are needed. Artificial Neural Network (ANN) is one of the Artificial Intelligent (AI) methods widely used for STLF because it can model complex and non-linear relationships from networks. This paper aims to build an STLF forecasting model that is suitable for Indonesia's geographical conditions using several ANN models tested. Based on several ANN forecasting models, the test results obtained the best model is Model-6 with ANN architecture (9-20-1). This model has one hidden layer, 20 neurons in the hidden layer, a sigmoid logistic activation function (binary sigmoid), and a linear function. Forecasting performance values obtained mean squared error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) of 430.48 MW2, 15.07 MW, and 2.81%, respectively.
Implementation of RFM Method and K-Means Algorithm for Customer Segmentation in E-Commerce with Streamlit
Authors: Alzami Farrikh , Sambasri Fikri Diva , Nabila Mira , Megantara Rama Aria , Akrom Ahmad , Pramunendar Ricardus Anggi , Prabowo Dwi Puji , Sulistiyawati Puri
Published: July 2023

E-commerce is selling and buying goods through an online or online system. One of the business models in which consumers sell products to other consumers is the Customer to Customer (C2C) business model. One thing that needs to be considered in the business model is knowing the level of customer loyalty. By knowing the level of customer loyalty, the company can provide several different treatments to its customers to maintain good relationships with customers and increase product purchase revenue. In this study, the author wants to segment customers on data in E-commerce companies in Brazil using the K-Means clustering algorithm using the RFM (Recency, Frequency, Monetary) feature and display it in the form of a dashboard using the Streamlit framework. Several stages of research must be carried out. Firstly, taking data from the open public data site (Kaggle), then merging the data to select some data that needs to be used, understanding data by displaying it in graphic form, and conducting data selection to select features/attributes. The step follows the proposed method, performs data preprocessing, creates a model to get the cluster, and finally displays it as a dashboard using Streamlit. Based on the results of the research that has been done, the number of clusters is 4 clusters with the evaluation value of the model using the silhouette score is 0.470.
Determining Eligible Villages for Mobile Services using K-NN Algorithm
Authors: Yudhana Anton , Riadi Imam , Djou M Rosyidi
Published: July 2023

To maximize and get population document services closer to the community, the Disdukcapil district of Alor provides mobile services by visiting people in remote villages which difficult-to-reach service centres in the city. Due to a large number of villages and limited time and costs, not all villages can be served, so the kNN algorithm is needed to determine which villages are eligible to be served. The criteria used in this determination are village distance, difficulty level, and document ownership (Birth Certificate, KIA, family card, and KTPel). The classes that will be determined are "Very eligible", "Eligible", and "Not eligible". By applying Z-Score normalization with the value of K=5, the classification gets 94.12% accuracy, while non-normalized only gets 88.24% accuracy. Thus, applying normalization to training data can improve the kNN algorithm's accuracy in determining eligible villages for "ball pick-up" or mobile services.
Antibiotic Susceptibility of Bacterial Strains Isolated from Urinary Tract Infections in a Private Laboratory of Dhaka City
Authors: Uddin Bhuiyan Mohammad Mahtab , Roy Sushmita , Hossen M Mokter , Akhand Faria , Bari Sumia , Chowdhury Sarowar Jahan , Mahjabin Mosfika , Salman Mohammad Nahid
Published: August 2023

Background: Urinary tract infection (UTI) is one of the most common infections worldwide.
Objective: The aim of the study was to identify different species of microorganisms, along with their antimicrobial susceptibility pattern, causing urinary tract infection in outpatient and indoor patients at Farazy Hospital Ltd, Dhaka, Bangladesh.
Methodology: This retrospective study was conducted using urine culture and sensitivity reports collected retrospectively from records maintained in the Department of Microbiology over a one-year period from January 2020 to December 2020 in a tertiary care hospital.
Results: UTI was more common in females (68.39%) than in males (31.61%). Among the uropathogens isolated Escherichia coli (67.6%) was found to be the predominant organism followed by Staphylococcus aureus (12.49%), Klebsiella species (8.23%), and Staphylococcus saprophyticus (6.83%) of total cases. The most common isolates were E. coli showed high sensitivity to tigecycline (97.32%), followed by meropenem (95.88%) and imipenem (95.68%). It was found to be highly resistant to ceftriaxone (62.89%) and ceftazidime (54.12%).
Conclusion: In conclusion, Escherichia coli species is the most common organism causing UTI with high resistance to the commonly prescribed antimicrobial drugs.
Bangladesh Journal of Medical Microbiology, January 2022;16(1):3-7
The “National Integrity Strategy (NIS): Shuddhachar Koushol” and the “Annual Performance Agreement (APA)” for Sustainable Excellence in Quality Nuclear Medicine Service
Authors: Begum Shamim Momtaz Ferdousi
Published: July 2023

Abstract not available
Bangladesh J. Nuclear Med. 26(1): 11-12, 2023
Complementary Role of Thyroid Scintigraphy, Neck Ultrasonography and Biochemical Assay to Delineate Thyroid Disease Pattern in Southern Part of Dhaka
Authors: Naznin Afroza , Sharmin Samira , Hossain Jamiul , Islam Md Nazmul , Salekin Mohammad Simoon , Rahman Hosne Ara , Billah Syed Muhammad Baqui
Published: July 2023

Thyroid disorders are among the most common endocrinopathies, and a wide array of patients are referred to Nuclear Medicine (NM) institutes for different thyroid-related investigations. In this study, we analyzed the findings of thyroid scintigraphy, high-resolution thyroid gland ultrasound, and thyroid hormone assays of 279 referred patients in the thyroid division of the Institute of Nuclear Medicine and Allied Sciences (INMAS), Mitford. The complementary role of the aforementioned investigations not only helped portray the pattern of thyroid disease in the historic southern part of Dhaka but also once again emphasized the importance of multidisciplinary diagnostic tools in disease management.
Bangladesh J. Nuclear Med. 26(1): 31-33, 2023
Incidental Diagnosis of Prostate Cancer by 18F-FDG PET-CT Imaging in a Patient During Post-operative Evaluation for Cecal Cancer
Authors: Mutsuddy Pupree , Kar Rashmi , Mandal Tapati , Akhter Papia , Nath Khokon Kumar , Siddique Md Abu Bakker , Begum Shamim MF
Published: July 2023

Incidental high fluorine-18 FDG (fluorodeoxyglucose) uptake in well-differentiated prostate cancer is rare. We reported the case of a 75-year-old man who underwent a whole-body FDG PET-CT (positron emission tomography with computed tomography) scan for post-operative evaluation of caecal cancer and demonstrated no evidence of recurrence. However, a focal hypermetabolic lesion was detected in the right lateral lobe of the prostate. The patient’s prostatic biopsy from the right lobe revealed well-differentiated adenocarcinoma with a Gleason score of six and a raised serum PSA level. Incidental, focally intense FDG uptake in the prostate gland should be considered for further investigations to confirm the presence of prostate cancer.
Bangladesh J. Nuclear Med. 26(1): 51-53, 2023