bluuebunny/crossref_metadata_2025_split huggingface dataset:
MCDM-EFS: A novel ensemble feature selection method for software defect prediction using multi-criteria decision making
Authors: Kaur Kamaldeep , Kumar Ajay 
Published: September 2023

Software defect prediction models are used for predicting high risk software components. Feature selection has significant impact on the prediction performance of the software defect prediction models since redundant and unimportant features make the prediction model more difficult to learn. Ensemble feature selection has recently emerged as a new methodology for enhancing feature selection performance. This paper proposes a new multi-criteria-decision-making (MCDM) based ensemble feature selection (EFS) method. This new method is termed as MCDM-EFS. The proposed method, MCDM-EFS, first generates the decision matrix signifying the feature’s importance score with respect to various existing feature selection methods. Next, the decision matrix is used as the input to well-known MCDM method TOPSIS for assigning a final rank to each feature. The proposed approach is validated by an experimental study for predicting software defects using two classifiers K-nearest neighbor (KNN) and naïve bayes (NB) over five open-source datasets. The predictive performance of the proposed approach is compared with existing feature selection algorithms. Two evaluation metrics – nMCC and G-measure are used to compare predictive performance. The experimental results show that the MCDM-EFS significantly improves the predictive performance of software defect prediction models against other feature selection methods in terms of nMCC as well as G-measure.
Delayed and More Variable Unimanual and Bimanual Finger Tapping in Alzheimer’s Disease: Associations with Biomarkers and Applications for Classification
Authors: Koppelmans Vincent , Ruitenberg Marit F.L. , Schaefer Sydney Y. , King Jace B. , Hoffman John M. , Mejia Amanda F. , Tasdizen Tolga , Duff Kevin 
Published: September 2023

Background: Despite reports of gross motor problems in mild cognitive impairment (MCI) and Alzheimer’s disease (AD), fine motor function has been relatively understudied. Objective: We examined if finger tapping is affected in AD, related to AD biomarkers, and able to classify MCI or AD. Methods: Forty-seven cognitively normal, 27 amnestic MCI, and 26 AD subjects completed unimanual and bimanual computerized tapping tests. We tested 1) group differences in tapping with permutation models; 2) associations between tapping and biomarkers (PET amyloid-β, hippocampal volume, and APOE ɛ4 alleles) with linear regression; and 3) the predictive value of tapping for group classification using machine learning. Results: AD subjects had slower reaction time and larger speed variability than controls during all tapping conditions, except for dual tapping. MCI subjects performed worse than controls on reaction time and speed variability for dual and non-dominant hand tapping. Tapping speed and variability were related to hippocampal volume, but not to amyloid-β deposition or APOE ɛ4 alleles. Random forest classification (overall accuracy = 70%) discriminated control and AD subjects, but poorly discriminated MCI from controls or AD. Conclusions: MCI and AD are linked to more variable finger tapping with slower reaction time. Associations between finger tapping and hippocampal volume, but not amyloidosis, suggest that tapping deficits are related to neuropathology that presents later during the disease. Considering that tapping performance is able to differentiate between control and AD subjects, it can offer a cost-efficient tool for augmenting existing AD biomarkers.
Quality attributes of Pitanga (Eugenia uniflora L.) during postharvest storage as affected by ripening stage and storage temperature
Authors: Castro Damian C. , Piagentini Andrea , Pirovani María Élida 
Published: September 2023

BACKGROUND: Pitanga ( Eugenia uniflora L.) is a South American berry with a sweet flavor and is rich in bioactive compounds and antioxidants. However, its high water and sugar content, susceptibility to spoilage, and bruising limit its shelf life. OBJECTIVE: This study aimed to investigate the physical and chemical changes of pitanga during storage and to identify the optimal harvest time and storage conditions. METHODS: Pitangas were harvested at mid or full-ripeness stages, stored at 2°C, 10°C, or 20°C, and analyzed for physical and chemical quality attributes using a kinetic approach. RESULTS: The storage temperature of pitanga significantly affected the kinetics of various quality attributes, including weight loss, percentage of damaged and decayed fruit, fruit hardness, total soluble solid content, and color change. However, the ripening stage during harvest only influenced the initial values of a few quality attributes. The bioactive compound content and antioxidant capacity of pitanga were not significantly affected by either storage temperature or ripening stage, except for vitamin C. CONCLUSIONS: Pitanga can be preserved at 2°C for 20 days, resulting in a four-fold increase in shelf life compared to current postharvest practices. This finding offers valuable insights into optimizing the postharvest technology of pitanga, thereby increasing its utilization and promoting sustainable production practices.
The Virtual Museum Rubric: A Preliminary Report
Authors: Yano Kojiro , Nishimura Masamichi , Yokoyama Eri 
Published: September 2023

Recent developments in virtual reality (VR) have opened the doors to many unique opportunities for individuals to create virtual exhibitions and museums. However, this does not guarantee the creation of successful museums, as many factors need to be considered to provide an enjoyable visitor experience. To this end, this paper describes our preliminary attempt to construct a rubric for assessing the quality of virtual reality museums. The development stage was divided into four main areas. First, a research team was asked to reflect on their desired expectations of the exhibitions, the goals for creating the museums, and their expectations. Second, the specifics of the evaluation of the design and structure were determined with reference to the museological literature. Thirdly, the related objectives were identified and grouped, leading to the formation of the core dimensions for the rubric. Finally, the core dimensions were used to create an evaluation rubric. The rubric was divided into four categories: Exhibition Planning, Spatial Design, Display, and Exhibition Graphics. For each category, the specific dimensions were selected, and the basic concepts were discussed. Furthermore, the evaluation criteria for successful exhibitions and experiences were presented, as well as how each dimension helps in the evaluation of virtual reality museums. The rubric we presented is expected to improve the overall quality of exhibitions and experiences of virtual reality museums.
Keywords: Museology, Virtual Reality, Metaverse, Evaluation, Gallery
Pengembangan Teknologi Bantu Untuk Pembelajaran Bagi Mahasiswa Berkebutuhan Khusus Berbasis Aplikasi Mobile
Authors: M Thohir Yassin Rochmad , Aziz Bouty Abd , Azhar Kadim Ahmad 
Published: September 2023

Gorontalo State University requires good preparation including developing learning innovations and assistive technology for students with special needs as a representative of the government in providing learning media and tools needed by prospective students with special needs. The purpose of this research is to develop assistive technology that has been tested or implemented to support learning activities. The method used in developing mobile-based applications is prototyping. The results of this study are developed and tested prototypes of mobile-based applications for learning for prospective students with special needs with the Android platform.

Keywords—Assistive Technology; Special Needs; Mobile-Applications

Universitas Negeri Gorontalo memerlukan persiapan yang baik termasuk mengembangkan inovasi pembelajaran dan teknologi bantu untuk mahasiswa berkebutuhan khusus sebagai representasi pemerintah di dalam menyediakan media pembelajaran dan alat bantu yang diperlukan oleh calon mahasiswa berkebutuhan khusus. Tujuan dari penelitian ini adalah mengembangkan teknologi bantu yang sudah diujicobakan atau diimplementasikan untuk mendukung kegiatan pembelajaran. Metode yang digunakan dalam pengembangan aplikasi berbasis mobile adalah prototyping. Hasil dari penelitian ini adalah dikembangkan dan telah diujicobakan prototipe aplikasi berbasis mobile untuk pembelajaran bagi calon mahasiswa berkebutuhan khusus dengan platform android.

Kata Kunci—Teknologi Bantu; Berkebutuhan Khusus; Aplikasi-Mobile
The Comparison of Distance Methods on The On-Demand Ambulance Application
Authors: Angdresey Apriandy , Deyby Kumenap Vivie , Everhard Bawole Phil Anggara 
Published: September 2023

The on-demand ambulance is an application service that can be used to connect hospital ambulances or NGOs with people who need ambulance services. In this application, there is a geolocation feature service that is implemented with the distance calculation method, so that the feature gets the optimal distance with high accuracy. There are 3 distance search methods used in testing the distance search method, namely the haversine method, the Euclidean method, and the spherical triangle law of the cosine method. This study was conducted by utilizing data collected from the Google Maps API and obtained an accuracy of 100% for the haversine and spherical triangle law of cosine methods, while the accuracy was 89.95% for the Euclidean method.

Keywords—Distance Method; Haversine; Euclidean, Spherical Triangle Law of Cosine
Penerapan Backpropagation Neural Network (BPNN) Untuk Prediksi Kecanduan Smartphone Pada Remaja
Authors: Anshori Mochammad , Haris M. Syauqi , Teja Kusuma Wahyu 
Published: September 2023

COVID-19 caused by the coronavirus disease-2019 has spread rapidly and attacked massively. As a precaution, a lockdown policy was issued. This policy limits the activities of schools, offices, shops, prohibits traveling at certain times, maintains distance from one another and reduces crowds in the public. During the lockdown period resulted in a new lifestyle where the use of smartphones increased. This increase is based on the fact that smartphones have many functions such as information, communication, education and entertainment. But excessive use of smartphones can cause addictive effects, especially in adolescents. Excessive use of smartphones makes teenagers become insomniac, different social behavior, low self-confidence, and even anxiety. The complexity of anxiety symptoms in adolescents tends to be difficult to understand, therefore a prediction of smartphone addiction with backpropagation is proposed. Parameter testing is done to get the right artificial neural network architecture. The results of testing the parameters that have been carried out are iterations = 50, the number of neurons in the hidden layer = 9 and the learning rate = 0.3. With this model, an accuracy of 99.49%, TPR of 99.5% and FPR of 0.08% is obtained.

Keywords—Backpropagation, Artificial Neural Network, Smartphone Addiction, Machine Learning, Neural Network

COVID-19 yang disebabkan oleh coronavirus disease-2019 telah menyebar dengan cepat dan menyerang secara masif. Sebagai tindakan pencegahan maka dikeluarkan kebijakan lockdown. Kebijakan ini membatasi kegiatan sekolah, perkantoran, pertokoan, melarang bepergian dalam waktu tertentu, saling menjaga jarak dan mengurangi kerumunan di publik. Selama masa lockdown menghasilkan gaya hidup yang baru dimana kegunaan smartphone meningkat. Peningkatan ini didasari karena smartphone memiliki banyak fungsi seperti informasi, komunikasi, edukasi dan hiburan. Tetapi penggunaan smartphone yang berlebihan dapat menimbulkan efek candu khususnya pada remaja. Berlebihan dalam menggunakan smartphone membuat anak remaja menjadi insomnia, Tingkah laku pergaulan yang berbeda, kepercayaan diri yang rendah, bahkan kecemasan. Kompleksnya gejala kecemasan pada anak remaja cenderung sulit untuk dipahami, oleh karena itu diusulkan prediksi kecanduan smartphone dengan backpropagation. Pengujian parameter dilakukan untuk mendapatkan arsitektur jaringan syaraf tiruan yang tepat. Hasil pengujian parameter yang telah dilakukan adalah iterasi = 50, jumlah neuron pada hidden layer = 9 dan nilai learning rate = 0.3. Dengan model tersebut, maka didapatkan akurasi sebesar 99.49%, TPR sebesar 99.5% dan FPR sebesar 0.08%.

Kata Kunci—Backpropagation, Jaringan Saraf Tiruan, Kecanduan Smartphone, Pembelajaran Mesin, Jaringan Saraf
Sistem Pendukung Keputusan untuk Menentukan Kelayakan Nasabah Penerima Kredit
Authors: Ilamsyah Ilamsyah , Mayangsari Meri , Permatasari Silvia 
Published: September 2023

Pengajuan kredot saat ini menjadi salah satu jenis transaksi yang paling banyak diminati dalam dunia perbankan. Kredit konsumen diberikan oleh bank atau berbagai lembaga pemberi pinjaman lainnya dan merupakan sektor ekonomi yang telah mengalami pertumbuhan pesat selama 50 tahun terakhir. Munculnya teknologi komputer yang maju dan akibat meningkatnya permintaan kredit, telah menyebabkan perkembangan model untuk mendukung keputusan pemberian kredit. Meskipun pinjaman kredit adalah salah satu investasi paling menguntungkan dalam portofolio aset pemberi pinjaman, namun meningkatnya jumlah pinjaman juga menyebabkan peningkatan jumlah pinjaman yang gagal bayar. Permasalahan yang terjadi saat ini ialah disebabkan oleh keterbatasan sistem yang tidak dapat memberikan rekomendasi approval pengajuan kredit nasabah sehingga pegawai harus menunggu data yang dikirimkan oleh calon debitur yang membuat proses input data membutuhkan waktu. Metode penelitian yang digunakan adalah Simple Additive Weighting yang digunakan untuk menentukan kelayakan. kriteria yang digunakan adalah Status Tempat Tinggal, Status Pernikahan, Jenis Usaha, Status Kepemilikan dan Laba Perbulan. Dengan menggunakan sistem yang dapat diakses oleh Mikro Kredit Sales yang langsung terhubung dengan user Kredit Analis diharapkan dapat memudahkan staff Analis dalam menentukan rekomendasi pengajuan kredit bagi nasabah.
SOSIALISASI PENERAPAN SMART CITY MELALUI APLIKASI TANGERANG LIVE PADA KIM PPI SMART KELURAHAN PORIS PLAWAD INDAH
Authors: Aisyah Euis Sitinur , Mayasari Mayasari , Widyasari Widyasari 
Published: September 2023

Smart City merupakan kota cerdas yang dirancang agar memudahkan masyarakat mengakses informasi. Penerapan smart city yang terdapat pada pemerintah Kota Tangerang berbentuk aplikasi, yaitu aplikasi Tangerang Live. Namun, masih banyak masyarakat Kota Tangerang yang belum mengetahui mengenai penerapan program smart city melalui aplikasi Tangerang Live ini. Sehingga, diperlukan sosialisasi untuk memberikan pelatihan menggunakan aplikasi yang dibuat oleh DISKOMINFO sebagai sarana komunikasi agar memudahkan masyarakat dalam memperoleh informasi Layanan Kependudukan, Layanan Informasi, Layanan Transportasi, dan lain-lain. Setelah kegiatan ini dilaksanakan, mahasiswa mengharapkan masyarakat lebih memahami dan memaksimalkan penggunaan aplikasi Tangerang Live ini. Diadakannya sosialisasi ini sebagai wadah untuk memberikan informasi dan pengetahuan mengenai pentingnya aplikasi Tangerang Live. Kami mengadakan kegiatan sosialisasi aplikasi Tangerang Live ini di Kelurahan Poris Plawad Indah sebagai bentuk pengabdian kepada masyarakat yang melibatkan mahasiswa dan Ketua KIM PPI Smart beserta jajaran.
Kata kunci: Smart City, Sosialisasi, Tangerang Live.
Contribuições da prática de psicólogos em hospitais: Uma revisão de literatura
Authors: Santana Glória Vitória Batista , Silva Ana Beatriz Martins , Nunes Jhulyane Cristine da Cunha 
Published: September 2023

O objetivo deste trabalho é investigar quais são as contribuições da prática de psicólogos que trabalham em hospitais a partir da literatura nacional; bem como descrever o processo de trabalho dos psicólogos de acordo com as discussões realizadas por artigos no âmbito nacional dos últimos cinco anos e refletir a partir das discussões da literatura acerca das potencialidades e os desafios inerentes ao trabalho desempenhado por psicólogos em hospitais. O presente trabalho é uma Revisão de Literatura - RL de abordagem Integrativa. No que concerne a etapa de coleta de dados a mesma aconteceu mediante consultas virtuais nos seguintes bancos de dados: Periódicos Eletrônicos em Psicologia (PePSIC) e Scientific Electronic Library Online (SciELO). As buscas foram realizadas no mês de novembro de 2022, para tanto utilizou-se de descritores e/ou palavras chave. Por fim, a Análise de Conteúdo foi utilizada na etapa de análise das publicações selecionadas para este trabalho. Os resultados expressam pouco desenvolvimento de artigos científicos sobre o tema em questão, principalmente no nordeste e norte do país, ademais nos artigos selecionados que se enquadravam nos critérios de inclusão, foi possível observar as contribuições da atuação do profissional da categoria de psicologia em maternidades, serviço de Terapia Intensiva, a importância do acolhimento e de atendimento psicológico com pacientes estomizados.
Implicações epistemológicas na prática pedagógica: Um estudo com professores da Educação Básica
Authors: Miranda Ana Carolina Gomes 
Published: September 2023

O presente trabalho apresenta resultados de uma pesquisa, cujo objetivo é identificar as concepções epistemológicas que se encontram incorporadas à prática pedagógica de um grupo de professores da educação básica de uma escola pública, localizada na cidade de Santa Maria, RS. Os resultados foram obtidos por meio de um instrumento de pesquisa (questionário) baseado nas ideias de Porlán, composto por itens fechados em escala Likert. A análise dos dados foi realizada quantitativamente com o auxílio dos softwares “Microsoft Excel” versão 2010 e “Statistical Package for Social Sciences” (SPSS) versão 22. Os resultados revelaram que a concepção empirista-indutivista ainda é predominante entre os professores da educação básica da escola pesquisada, reafirmando a necessidade da inclusão de estudos aprofundados sobre a epistemologia nos cursos de formação inicial e continuada de professores.
تطبيق تعليم النحو لترقية مهارة الكتابة لطالبات الفصل الثانى "إبتداء" في المعهد الإسلامي للبنات والى صانجا جومبانج
Authors: Rifqi Rifqi nur azizah , Niswah Isniyatun 
Published: September 2023

ABSTRAK
Maharah kitabah adalah keterampilan mendekskripsikan atau mengungkapkan isi hati melalui tulisan dengan tujuan memberi kefahaman kepada pembaca dan dengan maharah kitabah juga dapat menuangkan isi ide fikiran bebas menjadi suatu tulisan. Dan nahwu adalah salah satu sarana dalam memahami kaidah-kaidah bahasa arab yang berkaitan dengan keterampilan menulis. karena dalam memahami bahasa arab tidak hanya dengan membaca dan menghafal tetapi juga dengan menulis. Maka dari itu Maharah kitabah dapat membantu kebiasaan menulis bahasa arab yang merasa kesulitan dan belum mampu dalam menulis bahasa arab dengan baik. Tujuan penelitian ini adalah: 1) untuk mengetahui penerapan pembelajaran nahwu. 2) untuk meningkatkan keterampilan menulis pada santri kelas 2 Ibtida’ Madrasah Diniyyah di Pondok Pesanatren Walisongo Cukir Jombang.
Penelitian ini menggunakan jenis penelitian kualitatif deskriptif dan Pengumpulan data dalam penelitian ini menggunakan observasi, wawancara, dan dokumentasi yang kemudian dianalisis dan ditarik kesimpulan.
Hasil penelitian ini adalah: 1) implementasi pembelajaran nahwu untuk meningkatkan keterampilan menulis pada santri kelas 2 Ibtida’ madrasah diniyyah di Pondok Pesantren Putri Walisongo Cukir Jombang menggunakan kitab Matan Jurumiyyah sebagai media pembelajaran, dalam penerapan pembelajarannya ini menggunakan model deduktif. 2) latar belakang santri belum bisa menulis bahasa Arab pada awalnya setelah mengenal pelajaran nahwu mampu menulis bahasa arab sesuai dengan kaidahnya, mampu membuat dan membedakan jumlah kalimah.

Kata kunci: Maharah Kitabah, Nahwu
Family Assistance Program With Interprofessional Education Approach In Labuan Panimba
Authors: Candriasih Putu , Ndama Metrys , Awusi Hermin Austria 
Published: September 2023

Stunting is caused by multidimensional factors so that the handling needs to be done by multisectoral or interprofessional collaborations. Central Sulawesi is an area that still has many health problems regarding nutrition, in preventing various problems related to stunting, the role of the family and community plays a very important role in the recovery phase. The roles and functions of families and communities greatly affect the health conditions of individuals, families, groups, and communities.
The results of the mentoring and assessment that became a problem were the provision of complementary feeding. The provision of appropriate complementary feeding according to recommendations and utilizing local wisdom can help prevent stunting, and can introduce healthy eating habits for mothers and children under two by utilizing nutritious food found in their environment. In addition, as an effort to make significant progress in improving the health and quality of children, especially in Indonesia.
Conclusions in the handling of stunting, each team shall have the duty and authority so that there is no overlap. Teams of health workers who work for the handling of stunting are nutritionists, midwives, nurses and Promkes, village head. Each has their own duties and powers. The achievement targets for this community service are Modules and Intellectual Property Rights.
Automatic generation of subject-specific finite element models of the spine from magnetic resonance images
Authors: Kok Joeri , Shcherbakova Yulia M. , Schlösser Tom P. C. , Seevinck Peter R. , van der Velden Tijl A. , Castelein René M. , Ito Keita , van Rietbergen Bert 
Published: September 2023

The generation of subject-specific finite element models of the spine is generally a time-consuming process based on computed tomography (CT) images, where scanning exposes subjects to harmful radiation. In this study, a method is presented for the automatic generation of spine finite element models using images from a single magnetic resonance (MR) sequence. The thoracic and lumbar spine of eight adult volunteers was imaged using a 3D multi-echo-gradient-echo sagittal MR sequence. A deep-learning method was used to generate synthetic CT images from the MR images. A pre-trained deep-learning network was used for the automatic segmentation of vertebrae from the synthetic CT images. Another deep-learning network was trained for the automatic segmentation of intervertebral discs from the MR images. The automatic segmentations were validated against manual segmentations for two subjects, one with scoliosis, and another with a spine implant. A template mesh of the spine was registered to the segmentations in three steps using a Bayesian coherent point drift algorithm. First, rigid registration was applied on the complete spine. Second, non-rigid registration was used for the individual discs and vertebrae. Third, the complete spine was non-rigidly registered to the individually registered discs and vertebrae. Comparison of the automatic and manual segmentations led to dice-scores of 0.93–0.96 for all vertebrae and discs. The lowest dice-score was in the disc at the height of the implant where artifacts led to under-segmentation. The mean distance between the morphed meshes and the segmentations was below 1 mm. In conclusion, the presented method can be used to automatically generate accurate subject-specific spine models.