bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transformações urbanas e direito à cidade em regiões metropolitanas paulistas
Authors: BÓGUS Lucia , MAGALHÃES Aires Luís Felipe , PASTERNAK Suzana 
Published: June 2024

O artigo analisa alguns dos impactos das desigualdades urbanas nas regiões metropolitanas do estado de São Paulo, com destaque para os municípios da Região Metropolitana de São Paulo (RMSP) e da Macrometrópole Paulista (MMP). Serão abordadas especialmente as desigualdades sócio espaciais, com destaque para as carências habitacionais e a expansão das favelas, indicativas do aumento da pobreza urbana e da ausência de políticas que assegurem o direito à Cidade. Analisaremos a trajetória e as especificidades das taxas geométricas de crescimento populacional nas sub-regiões que formam a Região Metropolitana de São Paulo, entre 1960 e 2022, buscando investigar as origens econômicas e sociais das particularidades temporais destas taxas ao longo do período. A metodologia deste artigo combina a revisão teórica da literatura sobre industrialização, urbanização, metropolização e formação de novas espacialidades e escalas urbanas ao levantamento de dados estatísticos sobre população, domicílios e favelas na Região Metropolitana de São Paulo e na Macrometrópole Paulista.
Kehidupan Pluralisme Sosial Agama Masyarakat Transmigrasi Sebamban Kebupaten Tanah Bumbu Kalimantan Selatan: Perspektif Pendidikan Humanisme
Authors: Riady Fahmi , Nida Najminnur Hasanatun 
Published: June 2024

<p>Artikel ini bertujuan untuk menjelaskan kehidupan pluralisme masyarakat transmigrasi Sebamban perspektif pendidikan humanisme. Fokus penelitian adalah penggambaran pluralisme sosial agama masyarakat transmigrasi Sebamban dan bagaimana pendidikan humanisme memotret kehidupan sosial agama masyarakat transmigrasi Sebamban yang plural. Penelitian ini berjenis penelitian lapangan dengan menggunakan pendekatan kualitatif dengan menjadikan masyarakat transmigrasi Sebamban sebagai subjek penelitian. Adapun teknik pengumpulan data dengan menggunakan observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa masyarakat transmigrasi Sebamban Tanah Bumbu, khususnya mereka yang tinggal di desa Sari Utama blok B1 dan blok G dan desa Dwi Marga Utama blok B, berasal dari daerah yang berbeda-beda (Jawa Timur, Jawa Barat, Jawa Tengah, DKI, Lombok, dan Bali). Mereka memiliki keragaman suku, budaya, dan agama yang cukup tinggi. Dalam kehidupan plural semacam ini mereka mengembangkan kemampuan alami manusia untuk hidup bersama. Di mana dari sudut pandang pendidikan humanisme mereka adalah orang-orang yang memiliki kedaulatan dan bertanggung jawab; dapat menemukan identitas diri, mengembangkan sistem nilai, dan mampu beraktualisasi dengan aktif berpartisipasi.</p>
Development of a Feature Extraction Methodology for Prognostic Tasks of Aerospace Structures and Systems
Authors: Orru Antonio , Kontogiannis Thanos , Falcetelli Francesco , Di Sante Raffaella , Eleftheroglou Nick 
Published: June 2024

The performance of prognostic models used for prognostic health management (PHM) applications heavily depend on the quality of features extracted from raw sensor data. Traditionally, feature extraction criteria such as monotonicity, prognosability, and trendability are selected intuitively. However, this intuitive selection may not be optimal. This research introduces an innovative approach to transform raw data into 'high-scoring' data without the need for predefined feature extraction criteria. Our methodology involves generating a set of synthetic high-scoring time series. These synthetic time series, resembling the length and amplitude of target features, are created through Monte Carlo sampling (MCS) of a user-defined hidden semi-markov model (HSMM). We pair these synthetic time series with raw data/features from the signals and use them as targets to train a convolutional neural network (CNN). As a result, the trained CNN can convert input features into high-scoring ones, irrespective of their initial characteristics. So, this study provides the following contribution to PHM frameworks: it transforms raw data/features into high-scoring ones without relying on predefined criteria, rather on stochastically generated labels that resemble the nature of the degradation processes. It is worth noting, that the proposed FE technique is independent of the prognostic model that will be utilised, thus making it applicable to the established prognostic models.We demonstrate and validate the effectiveness of this approach using acoustic emission (AE) sensor data for remaining useful life (RUL) estimation of open-hole CFRP specimens. We compare prognostic performance using cumulative AE features with their transformations via our proposed framework. The transformed features exhibit superior prognostic performance, underscoring the value of our innovative feature extraction framework.
Damage Detection using Machine Learning for PHM in Gearbox Applications
Authors: Binanzer Lisa , Schmid Tobias , Merkle Lukas , Dazer Martin 
Published: June 2024

Early damage detection in gearbox applications enables the implementation of Prognostics and Health Management (PHM). On the one hand, the earliest possible damage detection provides a precise in-sight into the state of health of a gearbox. In addition, early damage detection offers the possibility to slow down the damage progress and extend the remaining useful life (RUL) by intervening in the operating state at an early damage stage. The main contribution of this work is that existing Machine Learning tools are applied to the challenge of very early damage detection in gearboxes. Thus, the need for complex physically based data evaluation is avoided. The aim of this investigation is a comparison of two different machine learning approaches. To investigate the detection possibilities test bench experiments were conducted with a single stage spur gearbox. For a comprehensive investigation, i.e. to detect damage under different operating conditions, the test runs are carried out at different damage sizes, speeds and torques. Based on the recorded vibration data, the damage detection is examined. Two machine learning approaches of anomaly detection are considered: An encoding approach and a loss approach. The same sparse autoencoder is developed for both approaches Both machine learning approaches are able to detect even the smallest damage of about 0.5 % in most operating states. The loss approach allows the different damage stages to be recognized much more clearly than the encoding approach. The comparison of the different approaches provides valuable insights for the further development of robust damage detection algorithms.
Defect Data Augmentation Method for Robust Image-based Product Inspection
Authors: Choi Youngwoon , Lee Hyunseok , Lee Sang Won 
Published: June 2024

In this paper, we develop a model for detecting defects in fabric products based on an object segmentation algorithm, including a novel image data augmentation method to enhance the robustness. First, a vision-based inspection system is established to collect image data of the fabric products. The three types of fabric defects, such as a hole, a stain, and a dyeing defect, are considered. To enhance defect detection accuracy and robustness, a novel image data augmentation method, referred to as the defect-area cut-mix, is proposed. In this method, the shapes that are the same as each defect are extracted using the masks, and then they are added to non-defective fabric images. Second, an ensemble process is implemented by combining the results of two models, one with high sensitivity in defect diagnosis and the other with lower sensitivity. The results demonstrated that the model trained on the augmented dataset exhibits improved metrics such as intersection over union and classification accuracy in defect detection on the test dataset.
Integration of Condition Information in UAV Swarm Management to increase System Availability in dynamic Environments
Authors: Dingeldein Lorenz 
Published: June 2024

The approach of prognostics and health management (PHM) focuses on the real-time health assessment of a system under its actual operating condition and even extending this by the prediction of the future state based on up-to-date system information. This pursues the aim to derive more advanced maintenance or asset deployment strategies in order to keep the operation of the system safe and reliable. In this context, the outcome of a PHM system is often used as a decision support. For a high fidelity system where the actual state is considered at every timestep and a decision is executed immediately based up on this information, Reinforcement Learning (RL) becomes a tool to find an optimized solution. Therefore the paper presents a methodology that integrates health and operational data into a RL approach in order to derive immediate operational strategies for lower degradation and higher safety and reliability. The approach is evaluated on the basis of a swarm of unmanned aerial vehicles (UAVs) that performs a complete-area path-coverage (CAPC) mission. It can be shown that the integration of health information as well as environmental data describing dynamic operating conditions lead to lower degradation and result in more reliable operations of the swarm while achieving a more flexible mission performance compared to pre-divided swarm-missions. Varying states are also taken into account, which emphasises this approach to be a highly dynamic PHM system application.
The Benefits of Nurturing EFL Teachers’ Agency at the Beginning of their Professional Development Journeys
Authors: Kristian Wijaya  
Published: June 2024

EFL educators in this modern age are vulnerable to stressful and anxiety-evoking situations while dealing with their daily teaching demands such as heavy administrative workloads, unyielding students’ behaviors, and external pressure from the educational stakeholders. To better mitigate all these inevitable educational issues, it is of key importance for second language educators to instill a higher level of agency to nurture their commitment in giving their best teaching performances for their learners. For this reason, the researcher embarked this small-scale library study by exploring the potential benefits promoted by agency contributable for the further professional development within EFL educationalists. By doing so, the forthcoming research results can potentially promote a glimpse of enlightenment for globalized ELT stakeholders to better support the continual development of EFL teachers’ agency influential for the significant advancement of the whole second language exposure quality. A library analysis methodology was selected to generate more credible, relatable, and applicable research results for the targeted educational parties. To fulfill this major specific research objective, the researcher particularly chose 20 previous EFL teachers’ agency literature having been published worldwide in varied reputable journal article platforms ranging from 2017 until 2023 year to yield more relevant research outcomes for the predetermined research fields. The thematically clustered research results highly encouraged globalized educational institutions to start prioritizing the constant development of EFL teachers’ agency to gradually transform them into more adaptable and highly dedicated educationalists.
PENGARUH KONTEN MEDIA SOSIAL TIKTOK TERHADAP MINAT BERKUNJUNG KE MUSEUM NASIONAL INDONESIA
Authors: Almunawaroh Aisyah , Djamhur Ina G 
Published: June 2024

Media sosial Tiktok digunakan oleh Museum Nasional Indonesia sebagai media penyebaran promosi dan informasi untuk memperkenalkan MNI. Namun media sosial Tiktok MNI belum optimal baik dari jumlah follower maupun dari jumlah konten yang diupload, dibandingkan media sosial lainnya. Tujuan dari penelitian ini adalah untuk menganalisis konten media sosial Tiktok (dimensi quality, quantity, dan sender expertise), minat berkunjung dan pengaruh konten media sosial Tiktok terhadap minat berkunjung. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kuantitatif Teknik pengumpulan data dengan metode survei melalui menyebarkan kuesioner kepada follower Tiktok MNI dalam bentuk google form. Konten Tiktok MNI terhadap minat berkunjung ke MNI dinilai oleh responden dengan rata-rata 3,26 yang berarti menarik, sementara itu minat berkunjung ke MNI dinilai oleh responden dengan rata-rata 3,30 yang berarti sangat berminat. Adapun pengaruh konten Tiktok terhadap minat berkunjung ke MNI dengan alat regresi linear sederhana menunjukkan hasil nilai thitung > ttabel yaitu 10,663 > 1,987 dengan nilai signifikansi 0,001 <0,05. Dapat disimpulkan bahwa terdapat pengaruh positif dan signifikan terhadap Konten Media Sosial Tiktok Terhadap Minat Berkunjung Ke Museum Nasional Indonesia dan disarankan kepada pihak MNI agar tetap konsisten dan bersedia terus menyajikan konten-konten inovatif. Hal ini diharapkan dapat menarik perhatian pengikut Tiktok MNI untuk mengunjungi museum.
PROMOSI DIGITAL DAN KUALITAS PRODUK TERHADAP MINAT BELI DI RESTO BIRYANI LAH LEBAK BULUS, JAKARTA SELATAN (STUDI KASUS PEMBELIAN PADA GRABFOOD DAN GOFOOD)
Authors: Farohah Lufi Aeni , Utami Annisa Retno 
Published: June 2024

Tujuan dari penelitian ini adalah untuk menganalisis promosi digital dan kualitas produk terhadap minat beli. Populasi dalam penelitian ini adalah pelanggan yang sudah membeli produk dari resto Biryani Lah minimal 1 Kali pembelian di Platform Grabfood dan Gofood. Penelitian ini menggunakan pendekatan kuantitatif deskriptif. Teknik pengambilan sampel yang digunakan adalah purposive sampling dengan menentukan 100 responden. Teknik analisis yang digunakan yaitu uji validitas, uji realibilitas, uji hipotesis, uji koefisiensi determinasi dan analisis regresi linier berganda yang terdapat di SPSS 29. Hasil dari penelitian didapatkan bahwa variabel promosi digital dan kualitas produk positif dan signifikan berpengaruh secara parsial dan simultan terhadap minat beli di Resto Biryani Lah di Lebak Bulus Jakarta Selatan (Studi Kasus Pembelian Pada Grabfood dan Gofood)
PENGARUH TERPAAN AKUN TIKTOK @UNIVERSITAS.SAHID SEBAGAI MEDIA PROMOSI TERHADAP CITRA UNIVERSITAS DI KALANGAN FOLLOWERS
Authors: Yusriyyah Lulu , Ekayanthi Daesy 
Published: June 2024

Akun TikTok @Universitas.sahid sebagai alat untuk mempromosikan Universitas agar membuat orang tertarik untuk mengetahui seputar Universitas Sahid serta apa saja yang terdapat didalamnya. Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mengetahui terkait dengan pengaruh terpaan akun tiktok @Universitas.sahid sebagai media promosi terhadap citra universitas di kalangan followers. Metode penelitian yang digunakan dalam penelitian ini adalah deskriptif kuantitatif. Teknik pengambilan sampel berdasarkan penelitian ini adalah teknik purposive sampling dimana jumlah sampel yang digunakan adalah 100. hasil penelitian ini menunjukkan bahwa uji koefisien korelasi (R) antara variabel X yaitu pengaruh terpaan akun TikTok@Universitas.sahid dengan variabel Y yaitu citra Universitas di dapat sebesar 0,874 dan koefisien determinasi R 0,781 Square (R) sebesar 0,610 atau 61%. Hal ini berarti akun TikTok @Universitas.sahid memiliki pengaruh yang cukup berarti terhadap citra Universitas. Nilai pengaruh terpaan akun TikTok@Universitas.sahid (Variabel X) tidak mengalami perubahan, maka citra Universitas (Variabel Y) bernilai 1.484. Dikarenakan hasil "b" positif (+), maka angka variabel citrsa Universitas naik sebesar 0,208. Sehingga dapat disimpulkan semakin naik pengaruh terpaan akun TikTok @Universitas.sahid maka dapat mempengaruhi citra Universitas.
APLIKASI INOVASI HIJAU DI UMK RUMAH MOCAF, INDONESIA
Authors: Ai Indriani  , Euis Yunita Purnama Sari  , Bismantara  
Published: June 2024

UMK as business actors who produce various necessities of life, are one of the contributors to the causes of environmental damage. The negative impacts caused by UMK activities start from its efforts to obtain raw materials, production processes, and waste produced both at the time of production and afterward. The implementation of green business is becoming increasingly important after most countries in the world have ratified the Sustainable Development Goals (SDGs). With a target of 160 points, the SDGs seek to save the earth, human population and increase prosperity that will be achieved by 2030. One of the UMK that has implemented Green Innovation on products and their manufacturing process is Rumah Mocaf Indonesia, Rumah Mocaf Indonesia is a UMK that sells products made from cassava. These raw materials are the crops of local cassava farmers, so we also contribute to the welfare of farmers. Sustainable Business is a Company's ability to achieve business goals and increase long-term value for shareholders by integrating economic, social and environmental into its business strategy. Green Innovation is known as sustainable innovation, which is a process by which sustainability considerations such as environmental, social finance are integrated into the company's system from the idea stage through research and development (R &D) and commercialism. Sustainability processes impact products, services, technology, and new business and organizational models. Green Product Innovation helps companies to gain a competitive advantage by distinguishing their products from competitors who do not do green product innovation (Reinhardt, 1998). Based on the results of the analysis, it turns out that Rumah Mocaf Indonesia UMK in creating a competitive advantage for products are influenced by green product innovation. Green Product Innovation affects the competitive advantage of products and marketing performance at Rumah Mocaf Indonesia UMK. Meanwhile, the influence of Green Process Innovation on Product Competitive Advantage and Marketing Performance of Green Process Innovation affects the competitive advantage of products at Mocaf Indonesia House UMK. Green process innovation is also known as the innovation process which is an environmentally friendly composition of one or more innovation processes (for example, water recycling desulfurized gas fuel).
MEMAHAMI DAN MENYELESAIKAN PERMASALAHAN HUKUM YANG MUNCUL DALAM INDUSTRI GASTROWISATA
Authors: Adelina Damayanti Anggarini  , Aris Prio Agus Santoso  
Published: June 2024

Pariwisata adalah keseluruhan kegiatan yang terkait dengan pariwisata dan bersifat multidimensi serta multidisiplin yang muncul sebagai wujud kebutuhan setiap orang serta Negara serta interaksi antara wisatawan dan masyarakat setempat, sesama wisatawan, Pemerintah, Pemerintah Daerah serta pengusaha. Gastrowisata merujuk pada perjalanan atau kunjungan wisata yang fokus pada pengalaman makanan dan kuliner. Ini melibatkan kegiatan eksplorasi dan partisipasi dalam berbagai aspek makanan, seperti mencicipi hidangan khas daerah, mengunjungi pasar tradisional, mengikuti kelas memasak, dan menjelajahi tur pabrik makanan. Gastrowisata memberikan kesempatan bagi para wisatawan untuk mengeksplorasi kekayaan budaya dan kuliner suatu tempat sambil menikmati cita rasa dan aroma autentik dari makanan lokal. Tujuan penulisan artikel ini adalah untuk mengetahui permasalahan yang muncul dalam industri gastrowisata dan bagaimana penyelesaiannya. Metode yang digunakan adalah metode penelitian hukum normatif untuk menganalisis esensi dari aturan atau norma hukum yang ada, termasuk peraturan-peraturan undang-undang serta sumber hukum lainnya yang menjadi fokus kajian. Metode ini mengandalkan data sekunder yang dikumpulkan untuk mengidentifikasi prinsip-prinsip hukum dan memeriksa struktur serta penerapan produk hukum yang telah ditetapkan sebagai acuan. Hasil dan pembahasan menunjukkan bahwa terdapat delapan permasalahan yang timbul dalam industri gastrowisata yaitu perlu adanya penciptaan suasana usaha mendukung, pendanaan bantuan modal, perlindungan usaha, pelatihan, pengembangan kerjasama (kemitraan), pendirian lembaga khusus, menguatkan perkunpulan, dan pengembangan strategi pemasaran.
PERBANDINGAN DAUN KERSEN DAN APEL MALANG TERHADAP MUTU PRODUK TEH HERBAL CELUP KAYA ANTIOKSIDAN
Authors: Giyatmi Giyatmi  , Muhammad Fadjri Romadhan  , Angelica Angelica  
Published: June 2024

Penelitian ini bertujuan untuk mencari mutu terbaik berdasarkan perbandingan daun kersen dan apel malang terhadap karakteristik fisik, kimia dan organoleptik serta mengetahui perbandingan yang masih diterima konsumen. Penelitian ini menggunakan teknik analisis varian (ANAVA) dengan satu faktor dan tiga kali pengulangan dengan variasi perbandingan A1 (100:0), A2 (90:10), A3 (80:20), A4 (70:30), dan A5 (60:40). Bahan baku yang digunakan berupa daun kersen dan apel malang. Hasil penelitian menunjukkan bahwa perbandingan daun kersen dan apel malang yang berbeda memberikan pengaruh nyata (P<0,05) terhadap intensitas warna, kadar air, kadar abu, pH, aktivitas antioksidan, total flavonoid, dan organoleptik teh herbal celup daun kersen dan apel malang. Perbandingan terbaik adalah perbandingan A3 (80:20) yang menghasilkan intensitas warna terhadap nilai kecerahan (L*) sebesar 7,77, nilai kehijauan (-a*) sebesar -2,38, dan nilai kekuningan (b*) sebesar 3,97. kadar air sebesar 6,55%, uji kadar abu 5,58 %, pH 6,74, aktivitas antioksidan 5,20 ppm, dan total flavonoid 33,49 mg/g. Uji hedonik warna memiliki rata-rata 3,8, aroma 3,0 dan rasa 3,0. Uji mutu hedonik pada parameter warna kuning agak kecoklatan, aroma agak wangi, dan rasa agak manis.
PERANCANGAN TATA LETAK FASILITAS PRODUKSI SEPATU DENGAN METODE ACTIVITY RELATIONSHIP CHART (ARC)
Authors: Siti Aminatu Zuhria  , Achmad Istar  
Published: June 2024

Produksi suatu produk memiliki aliran proses produksi yang panjang dan jumlah mesin yang cukup banyak sehingga membutuhkan pengaturan perancangan tata letak fasilitas produski yang efisien agar tidak menggangu kegiatan produksi. Salah satu produk yang banyak banyak dipakai oleh konsumen adalah produk sepatu. Permasalahan yang sering ditemui yaitu ketidakteraturan proses pemindahan aliran bahan dan jarak antar stasiun pada fasilitas produksi. Metode yang digunakan pada perancangan tata letak fasilitas yaitu Activity relationship Chart (ARC). Diagram ini digunakan untuk mengetahui hubungan kedekatan dan alasan kedekatan pada setiap departemen/unit/ruang dalam lokasi suatu produksi. Berdasrkan hasil perancangan menunjukkan bahwa lay out usulan dapat meningkatkan kinerja dari produksi dengan mempertimbangkan aliran produksi dan tata letak produksi dapat membantu kelancaran produksi yang lebih efektif dan efisien.
Penerapan Minimum Charge Untuk Outside Guest Restoran Di Amanjiwo Resort
Authors: Niken Prihandini  
Published: June 2024

Food and beverage service department plays an important role in the hotel’s operational and income’s continuity. In food and beverage service department, restaurant is a center place for arrival of the guests, therefore a waiter or waitres should have an attitude and good service to treat and welcome them. Amanjiwo is ones of a luxurious resort which gives a memorial and prestige service for everyone who comes to Amanjiwo. Because Amanjiwo is private resort and hotels, so they apply minimum spend for non staying or non resident guests to make sure the guests privacy and to keep the luxurious of the hotel. Therefore Amanjiwo apply a minimum charge policy for all outside guests whowould like to enjoy the hotel facilities. The reason why they applied because to many outside guests who come to Amanjiwo just walking around and taking a pictures, someof them make a noise and seated everywhere without spend to buy a meals or beverage. This researched is using descriptive qualitative method by interviewing and observation to several employees about minimum charge at restaurant by seeing how to the service to all the outside guests and its impact to Amanjiwo. With the minimum charge policy applied, it was running smoothly. The hotels can maintained and keep the in house guests privacy. And the hotel revenue is increasing with this minimum charge policy.