bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluasi Usability Pada Aplikasi Digiroomm by Auto 2000 Dengan Menggunakan Metode Usability Testing
Authors: Sihombing Rinda Fransisca , Suarli Pacu Putra 
Published: January 2024

Digiroom by Auto 2000 adalah aplikasi yang disediakan oleh Auto 2000 untuk mempermudah konsumen mengakses layanan servis di Auto 2000. Meski aplikasi tersebut memiliki rating 4,5 di Playstore, namun aplikasi tersebut memiliki keluhan usability pada kolom komentar, sehingga perlunya pengujian usability pada aplikasi tersebut dengan menggunakan metode usability testing. Pada usability testing dilakukan untuk mengukur aspek learnability, efficiency, errors dengan melakukakan task scenario. Wawancara dilakukan untuk mengetahui permasalahan usability dan kuesioner digunakan untuk mengetahui kepuasan pengguna terhadap aplikasi tersebut. Berdasarkan pengujian usability testing menghasilkan aspek learnability 80%, aspek efficiency 0,0082 goals/sec dan aspek error 12,5 % dengan tingkat kepuasan pengguna pada aplikasi adalah 70%-80%. Terdapat 3 permasalahan usability dialami pengguna yaitu Pada saat pembayaran hasil service berbeda yang ada di kuitansi dan di aplikasi, Peserta mengalami kesulitan saat ingin melihat hasil riwayat service kendaraan, dan Peserta pernah penggalami error pada aplikasi saat menggunakan aplikasi.
Artificial Intelligence for Caries and Tooth Detection in Dental Imaging: A Review
Authors: Nooraldaim Almonzer , Saed Adil 
Published: January 2024

This review delves into the application of artificial intelligence (AI) and deep learning, particularly leveraging convolutional neural networks (CNNs), to enhance dental diagnostics and treatment planning. The primary focus is on the detection and classification of caries as well as the identification of teeth in diverse dental images. A thorough exploration was conducted across databases, including PubMed, IEEE Xplore, and arXiv.org, leading to the identification of 29 pertinent studies. These studies employ various neural network models, encompassing different dental image types and employing diverse performance metrics. The review succinctly outlines the key characteristics and outcomes of these studies, underscoring the remarkable accuracy and the promising potential of AI-driven approaches in the realms of caries detection and tooth identification.
Acknowledging the existing limitations within the current body of research, such as small or non-representative datasets, variations in imaging techniques, and a lack of interpretability in deep learning models, the review emphasizes the need for future investigations. It suggests potential research directions aimed at overcoming these challenges, thereby facilitating the seamless integration of AI into routine dental practices.
Building a Low-Cost Lora Gateway based on .Net Core for Fast Development and Easy Integration
Authors: Haryono  
Published: January 2024

In the world of IoT, it is involving many devices, each Node needs to send/receive the data from/to Datacenter. The Lora Gateway is usually used to achieve that communication. There are many ways to implement the Lora Gateway, it may use available Lora Gateway in the market. This method may be faster but need to have an extra fee, especially when many gateways are needed. Another method is by using the available GSM Network Gateway, this may lead fast but require managing Simcard at each Node. Both are less flexible as the data format needs to follow according to the standard of the Gateway which is chosen. Some methods select to build the Lora Gateway by themself, but this requires some development and integration that leads to giving extra time.
To compensate above problem this project is involved. The aim is to prove, that it is possible to build a Low-Cost Lora Gateway based Time Division with the help of on .Net Core prgramming. As of today .Net Core can run in the Linux OS environment smoothly, hence building Lora Gateway based Time Division using on .Net Core is very possible to be done. By developing for all devices using .Net Core the communication data across the device is easy to achieve. It is because all projects in each device reference the same library that contains the same data entities and services.
This project proves that building a Low-Cost Lora Gateway based on .Net Core is successfully done. The development and integration are relatively easy and fast. The fee to build the Lora Gateway is less compared to using available Gateway in the market or using GSM Gateway.
Analisis Faktor-Faktor yang Memengaruhi Niat Penggunaan Bank Digital SeaBank menggunakan Modifikasi UTAUT2 dengan Security, Privacy, dan Trust
Authors: Devi Fitriana  , Dedy Kurniawan  
Published: January 2024

Penelitian ini menggunakan Kerangka kerja konseptual yang dikembangkan dengan memperluas Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) melalui penambahan tiga variabel, yakni Security, Privacy, dan Trust guna menganalisis faktor-fsktor yang memengaruhi niat penggunaan SeaBank. Data dikumpulkan melalui kuesioner berbasis online yang diisi oleh para pengguna bank digital SeaBank. Data dianalisis dengan metode Partial Least Squares Path Modeling (PLS-SEM). Dari Penelitian ini terlihat bahwa niat untuk mengadopsi layanan bank digital SeaBank dipengaruhi oleh price value, effort expectancy, social influence, habit, security, dan trust. Variabel moderasi jenis kelamin memoderasi variabel Price Value dan performance expectancy, variabel moderasi usia memoderasi variabel performance expectancy, dan variabel moderasi pengalaman memoderasi variabel security dan trust.
Penerapan Logika Fuzzy Untuk Analisis Tingkat Kepuasan Layanan Pelabuhan Domestik Sekupang Kota Batam
Authors: Joni Eka Candra  , Noviardi Refli , Eko Prasetyo Stefanus , Burhan Rifa’atul M. , Rushadi  
Published: January 2024

Penelitian ini bertujuan untuk menganalisis dan mengetahui seberapa besar pengaruh tingkat layanan yang diberikan terhadap respon kepuasan bagi para penumpang kapal di pelabuhan domestik Sekupang kota Batam. Dalam kelancaran penelitian ini digunakan metode studi kepustakaan, observasi, dan penyebaran kuesioner dengan menggunakan skala likert, serta metode fuzzy. Berdasarkan analisis dan pembahasan yang dilakukan terhadap 50 orang responden, dengan metode skala likert responden menyatakan cukup puas. Ini berarti pelabuhan sekupang Kota Batam, cukup berhasil memberikan layanan yang terbaik atau cukup memuaskan kepada para penumpang, baik dari Dimensi Kehandalan, Dimensi Daya Tanggap, Dimensi Kepastian, Dimensi Empati dan Dimensi Berwujud secara keseluruhan konsumen merasa cukup puas, dengan rata-rata presentase sebesar 71 % (35,5 dari 50 responden). Tidak jauh berbeda dengan hasil uji coba Fuzzy Logic metode Mamdani dilihat dari hasil nilai output untuk kepuasan konsumen sebesar 150 (dengan range 50-250) yang artinya tingkat kepuasan konsumen cukup puas akan pelayanan yang diberikan oleh Pelabuhan Sekupang Kota Batam.
Ekspresi Emosi Berdasarkan Suara Menggunakan Algortima Multi Layer Perceptron dan Support Vector Machine
Authors: Qurniaty Charlen Alta , Kusnawi Kusnawi 
Published: January 2024

Rapid developments in voice-based emotion recognition have made positive contributions to human-computer interaction. This research aims to compare the performance of two algorithms, namely Multilayer Perception (MLP) and Support Vector Machine (SVM), in recognizing emotions based on sound. The data used in this research was taken from Kaggle, which amounted to 1440 voice data. The data is then collected into several emotions which will then be feature extracted from the dataset to eliminate irrelevant information and reduce noise so that the classification results are optimal. The research results show that the classification accuracy using the Multilayer Perception (MLP) algorithm reaches 83%, while the Support Vector Machine (SVM) reaches 82%. Based on the accuracy results of both methods, it can be concluded that the Multilayer Perception algorithm is superior to the Support Vector Machine algorithm in the context of voice-based emotion recognition.
Keyword: Emotional Expression, Voice, Mfcc, Multi-Layer Perceptron, Support Vector Machine
Pendekatan Supervised Learning Decision Tree C4.5 untuk Klasifikasi Calon Mahasiswa Baru
Authors: Rizki Puput Fadhilah 
Published: January 2024

Perbandingan agama atau yang sekarang lebih dikenal dengan Studi Agama-Agama (SAA) merupakan bagian dari program studi yang ada di Fakultas Ushuluddin dan Studi Islam (FUSI) UINSU. Meskipun telah lama didirikan, namun peminat dari program studi ini terbilang cukup sepi untuk skala kampus yang besar. Dalam memilih Program Studi, perlu adanya minat yang ditanamkan dalam diri calon mahasiswa. Pada penelitian ini, peneliti memiliki tujuan untuk melakukan riset klasifikasi calon mahasiswa baru Program Studi SAA dengan pendekatan minat siswa menggunakan Decision Tree C4.5. Tujuan dari penelitian ini adalah membuat klasifikasi berdasarkan pohon keputusan dan rules yang di hasilkan. Model klasifikasi yang telah dibangun selanjutnya dievaluasi dengan menggunakan confusion matrix. Pada penelitian ini akurasi yang dihasilkan pada model klasifikasi sebesar 85,7%.
Komparasi Pendidikan Kewirausahaan Di Indonesia Dan China Melalui Kewirausahaan Teknologi Informasi Digital
Authors: Oriza Wike , Ganefri  , Giatman  , Yulastri Asmar , Maksum Hasan 
Published: January 2024

Tujuan dari penelitian ini untuk mengetahui faktor yang mempengaruhi minat berwirausaha di Indonesia dan China serta perbedaan yang dimiliki dan untuk mengetahui perbandingan atau komparasi pendidikan kewirausahaan antara Indonesia dan China. Metode yang digunakan dalam penelitian ini yaitu study literatur kemudian dianalisis dan ditarik kesmpulan. Hasil kajian literatur menunjukkan bahwa Pendekatan pendidikan kewirausahaan di kedua negara dapat disesuaikan dengan mempertimbangkan perbedaan yang ditemukan untuk memenuhi minat dan motivasi kewirausahaan mahasiswa masing-masing negara. Di China, fokus dapat diberikan pada membangun keyakinan mahasiswa untuk mengatasi rintangan, sementara di Indonesia, penekanan dapat diberikan pada memperkuat kepercayaan bahwa berwirausaha memberikan manfaat. Selain itu, penggunaan profil wirausaha sukses, terutama wirausaha muda, dapat menjadi motivator yang efektif di kedua negara. Indonesia maupun China telah mengambil langkah-langkah penting dalam mengembangkan pendidikan kewirausahaan. Meskipun keduanya menghadapi tantangan yang berbeda, baik Indonesia maupun China memiliki potensi besar untuk terus memajukan pendidikan kewirausahaan dan mendukung generasi muda dalam membangun bisnis yang inovatif dan berkelanjutan. Tumbuh dan berkembang pesatnya kewirausahaan di China dan diIndonesia tidak lepas dari peran teknologi informasi digital. Dunia digital menawarkan sumber daya baru yang sangat luas bagi wirausahawan untuk memanfaatkan peluang mempromosikan bisnis yang digelutinya. Mulai dari pengumpulan data terbuka, konten, kode dan layanan yang tumbuh secara eksponensial hingga kontribusi online penggunan dan komunitas di seluruh dunia.
Keywords : Minat Berwirausaha di Indonesia dan China, Pendidikan Kewirausahaan di Indonesia dan China, Teknologi digital.
Cybersecurity Improvement Design in Critical Infrastructure PT XYZ Case Study
Authors: Gunawan Adi , Rizal Fathoni Aji  
Published: January 2024

Prevention of cyber attacks is an important factor that organizations need to do to support maximum business process continuity. One of the important factors needed is the protection of data and information assets by the critical infrastructure owned. This paper discusses increasing the capacity of critical infrastructure at XYZ organization. The NIST CSF framework is a benchmark assessment tool for critical infrastructure capacity at PT XYZ. The results obtained from the assessment are used to make recommendations for controls related to critical infrastructure. The risk assessment found 107 risk scenarios that led to 11 recommendations for critical infrastructure improvement areas. Prioritization of the resulting recommendations is expected to increase the resilience and capacity of critical infrastructure at PT XYZ in the face of current and future cyber threats.
Um estudo da associação entre o estado nutricional e os hábitos alimentares de estudantes de uma Escola Técnica Federal do Norte de Minas Gerais, Brasil
Authors: Sá Daniela Souza Santos de , Freitas Ronilson Ferreira , Barroso Roberta , Pereira Eryka Jôvania , Freitas Tahiana Ferreira , Caires Nely Cristina Medeiros , Pereira Juliana Andrade , Teixeira Romero Alves 
Published: January 2024

O presente estudo tem o objetivo de verificar a associação entre o estado nutricional e os hábitos alimentares de estudantes de uma escola técnica federal do Norte de Minas Gerais, Brasil. Trata-se de um estudo transversal, com amostra aleatória de 466 adolescentes de ambos os sexos, com idade entre 13 a 19 anos do ensino médio de uma escola técnica federal do Norte de Minas Gerais. O consumo alimentar foi avaliado através de um Recordatório de Ingestão Habitual (RHAB). Aferiu-se peso e altura para avaliação do estado nutricional com base no Índice de Massa Corporal (IMC) por idade. A associação entre o estado nutricional e os hábitos alimentares foi verificado por análise univariada seguida de regressão linear multivariado. Houve prevalência de excesso de peso de 15% entre os estudantes. As variáveis que, após análise dos dados permaneceram no modelo logístico multivariado, se mostraram associadas ao excesso de peso foram: sexo masculino, prática de atividade física. A prevalência de excesso de peso entre os adolescentes foi abaixo dos valores regionais e nacionais, entretanto os adolescentes com excesso de peso apresentaram diferença significativa no consumo alimentar no que refere à ingestão de leites e derivados comparado com os adolescentes eutróficos.
Smart Education Berbasis Good Mining Practice pada Wilayah Pertambangan Rakyat di Desa Anggai Kecamatan Obi
Authors: K Hi Husen Puput Eka Sahputri , Hamid Ayyub Abd. , Sagaf Nurafni , Firman Firman 
Published: January 2024

Anggai adalah sebuah desa yang terletak di Kecamatan Obi, Kabupaten Halmahera Selatan, Provinsi Maluku Utara. Desa ini memiliki potensi mineral berharga yakni emas (Au). Masyarakat Desa Anggai umumnya melakukan kegiatan penambangan emas skala kecil (PESK). Namun pada kenyataannya terdapat permasalahan diantaranya dari segi pendidikan, akses internet, permasalahan lingkungan dari kegiatan pertambangan, pengelolaan limbah dan terkait pengurusan izin pertambangan rakyat (IPR). Oleh karena itu, diperlukan suatu upaya untuk mengatasi berbagai permasalahan tersebut. Tujuan dari program smart education berbasis good mining practice yakni memberikan edukasi kepada generasi muda tentang pentingnya melanjutkan pendidikan ke jenjang yang lebih tinggi dan mengedukasikan kepada masyarakat tentang praktik pertambangan yang baik dan benar sehingga tetap dapat memelihara fungsi lingkungan dengan baik. Metode pelaksanaan kegiatan yang digunakan diantaranya adalah sosialisasi smart education berbasis good mining practice, pelaksanaan bakti sosial, perlombaan dulang emas, pelatihan pembuatan tela dan paving block ramah lingkungan, pembuatan sediment pond, saluran drainage, penetralan pH air, pelatihan phytomining, pemetaan lokasi penambangan dan pembuatan jalan menggunakan paving block. Hasil dari pelaksanaan program ini adalah perubahan mindset masyarakat terutama para generasi muda sudah dapat memahami pentingnya pendidikan dimasa yang akan datang, dapat berbaur bersama masyarakat, masyarakat bisa mendapatkan emas menggunakan alat-alat sederhana, masyarakat sudah dapat memanfaatkan limbah tailing untuk menjadi produk yang bernilai ekonomis, dihasilkannya peta area lokasi batas-batas penambangan emas dan terbuktinya tanaman kangkung dapat menyerap logam berharga serta dapat menghasilkan sebuah jalan.
Sosialisasi dan Pemberdayaan Peran Pemuda dalam Pengambangan Desa Wisata di Wilayah Kepulauan Kayoa Halmahera Selatan
Authors: Latif Lita Asyriati , Rais Sandi , Tjiroso Bambang , Daud Kadri 
Published: January 2024

Kepualauan Kayoa adalah salah satu pulau yang terletak di Kecamatan Halmahera Selatan, dimana di pulau ini terdapat banyak pulau pulau kecil yang sangat indah dan menjadi destinasi wisata terbaik di provinsi Maluku Utara. Adanya Pandemic Covid 19 memberikan dampak terhadap perekonomian secara global, salah satu yang kegiatan ekonomi yang terdampak paling buruk adalah sector pariwisata. Dampak Covid-19 terhadap pariwisata terlihat pada penurunan kunjungan wisatawan luar negeri dan dalam negeri. Tahapan Pelaksanaan dilakukan dalam 2 tahap yaitu ; Pelaksanaan Sosialisasi dan Pelatihan yang dilaksanakan pada pagi sampai siang hari di SMK Modayama yang di hadiri oleh kurang lebih 30 Siswa dan pelaksanaan pembukaan dan ceremony yang di hadii oleh Kepala Desa Modayama dan Sekretaris Desa Modaya serta para masyarakat di Desa Modayama dilaksanakan pada malam hari pada tanggal 29 Juli 2023. Dalam Kegiatan ini peserta dilatih bagaimana cara membuat content promosi pada media Instagram, TikTok dan Facebook, dan Pembuatan Rencana Program paket wisata pada media social tersebut sehingga dapat menarik minat para traveler dan influenser serta content creator baik di Indoensia maupun manca negara untuk datang berwisata ke Pulau Kayoa.
Attention-based 3D convolutional recurrent neural network model for multimodal emotion recognition
Authors: Du Yiming , Li Penghai , Cheng Longlong , Zhang Xuanwei , Li Mingji , Li Fengzhou 
Published: January 2024

IntroductionMultimodal emotion recognition has become a hot topic in human-computer interaction and intelligent healthcare fields. However, combining information from different human different modalities for emotion computation is still challenging.MethodsIn this paper, we propose a three-dimensional convolutional recurrent neural network model (referred to as 3FACRNN network) based on multimodal fusion and attention mechanism. The 3FACRNN network model consists of a visual network and an EEG network. The visual network is composed of a cascaded convolutional neural network–time convolutional network (CNN-TCN). In the EEG network, the 3D feature building module was added to integrate band information, spatial information and temporal information of the EEG signal, and the band attention and self-attention modules were added to the convolutional recurrent neural network (CRNN). The former explores the effect of different frequency bands on network recognition performance, while the latter is to obtain the intrinsic similarity of different EEG samples.ResultsTo investigate the effect of different frequency bands on the experiment, we obtained the average attention mask for all subjects in different frequency bands. The distribution of the attention masks across the different frequency bands suggests that signals more relevant to human emotions may be active in the high frequency bands γ (31–50 Hz). Finally, we try to use the multi-task loss function Lc to force the approximation of the intermediate feature vectors of the visual and EEG modalities, with the aim of using the knowledge of the visual modalities to improve the performance of the EEG network model. The mean recognition accuracy and standard deviation of the proposed method on the two multimodal sentiment datasets DEAP and MAHNOB-HCI (arousal, valence) were 96.75 ± 1.75, 96.86 ± 1.33; 97.55 ± 1.51, 98.37 ± 1.07, better than those of the state-of-the-art multimodal recognition approaches.DiscussionThe experimental results show that starting from the multimodal information, the facial video frames and electroencephalogram (EEG) signals of the subjects are used as inputs to the emotion recognition network, which can enhance the stability of the emotion network and improve the recognition accuracy of the emotion network. In addition, in future work, we will try to utilize sparse matrix methods and deep convolutional networks to improve the performance of multimodal emotion networks.
Genome-wide identification and expression profiles analysis of the authentic response regulator gene family in licorice
Authors: Shi Yanping , Ding Guohua , Shen Haitao , Li Zihan , Li Hongbin , Xiao Guanghui 
Published: January 2024

IntroductionAs one of the traditional Chinese medicinal herbs that were most generally used, licorice attracts lots of interest due to its therapeutic potential. Authentic response regulators (ARRs) are key factors in cytokinin signal transduction and crucial for plant growth and stress response processes. Nevertheless, the characteristics and functions of the licorice ARR genes are still unknown.ResultsIn present study, a systematic genome-wide identification and expression analysis of the licorice ARR gene family were conducted and 51 ARR members were identified. Collinearity analysis revealed the significant roles of segmental duplications in the expansion of licorice ARR genes. The cis-acting elements associated with development, stress and phytohormone responses were identified, implying their pivotal roles in diverse regulatory processes. RNA-seq and qRT-PCR results suggested that A-type, but not B-type ARRs were induced by zeatin. Additionally, ARRs participated in diverse abiotic stresses and phytohormones responses. Yeast one-hybrid assay demonstrated that GuARR1, GuARR2, GuARR11, GuARR12, GuARR10-1, GuARR10-2 and GuARR14 were able to bind to the promoter of GuARR8-3, and GuARR1, GuARR12 bound to the GuARR8-1 promoter. GuARR1, GuARR2, GuARR11 and GuARR10-2 bound to the GuARR6-2 promoter as well as GuARR12 and GuARR10-2 bound to the GuARR6-1 promoter.DiscussionCollectively, these findings provide a basis for future ARR genes function investigations, shedding light on the potential medicinal properties and agricultural applications of licorice.
THAY ĐỔI THÀNH PHẦN HÓA HỌC VÀ HOẠT TÍNH CHỐNG OXY HÓA CỦA VỊ THUỐC ĐƯƠNG QUY TRÍCH RƯỢU
Authors: Ái Nghĩa Đoàn Thị , Tuấn Đoàn Quốc , Linh Nguyễn Khánh Thùy , Phú Nguyễn Đình Quỳnh , Kiều Nguyễn Thị Ngọc 
Published: January 2024

Radix Angelicae Sinensisis (RAS) là một trong những loại thuốc thảo dược truyền thống phổ biến nhất của Trung Quốc. Mục tiêu nghiên cứu nhằm khảo sát sự thay đổi thành phần hoá học và khả năng chống oxy hoá của rễ Đương quy trước và sau khi trích rượu. Tinh dầu Đương quy được chiết xuất bằng phương pháp cất kéo hơi nước đã nhận diện được 58 thành phần và sau trích rượu chứa 55 thành phần với hàm lượng khác nhau giữa 2 mẫu tinh dầu, trong đó thành phần chính mẫu trước khi trích rượu là α-Pinene (11,50%) và sau trích rượu là (Z)-Ligustilide (21,79%). Khả năng chống oxy hóa của cao methanol rễ Đương quy trước và sau chế biến trích rượu được tiến hành bằng phương pháp sử dụng 2,2-diphenyl-1 picrylhydrazyl (DPPH). Hiệu quả loại bỏ gốc tự do DPPH của cao methanol rễ Đương quy trước và sau khi trích rượu thể hiện qua giá trị IC50 lần lượt là 161,94 ± 0,96 µg/mL và 149,96 ± 1,07 µg/mL; so sánh với chứng dương là quercetin (IC50 = 2,2284 ± 0,05 µg/mL).