bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Penerapan Model UTAUT2 Terhadap Mahasiswa Fakultas Teknologi Informasi Pengguna Flearn
Authors: Wibowo Aurelius Kevin , Tanaamah Andeka Rocky 
Published: December 2024

Abstrak - Tujuan dari penelitian ini untuk menganalisis faktor-faktor yang mempengaruhi penerimaan dan penggunaan Flearn oleh mahasiswa, dikarenakan banyak mahasiswa terkadang belum terbiasa dengan penggunaan e-learning sebagai pembelajaran, karena berbagai faktor, dan implementasi sebuah e-learning akan selalu berkaitan dengan penerimaan pengguna sehingga perlu dilakukan analisis faktor-faktor yang dapat mempengaruhi niat/minat mahasiswa dalam penggunaan Flearn sebagai metode pembelajaran. Penelitian ini menggunakan model UTAUT2. Terdapat 7 faktor yang menjadi dasar pengukuran dalam penelitian ini, yaitu ekspektasi kinerja (performance expectancy), ekspektasi usaha (effort expectancy), kondisi yang memfasilitasi (facilitating conditions), pemberdayaan dalam pembelajaran (Empowerment In Learning), kebiasaan (Habit), niat perilaku (behavioral intention) dan perilaku penggunaan (use behavior). Metode yang digunakan kuantitatif. Analisis data menggunakan teknik SEM-PLS dengan program aplikasi pengolah data yaitu SmartPLS versi 4. Pengolahan data dilakukan dengan beberapa pengujian yaitu pengujian validitas, pengujian reliabilitas, pengujian inner model dan pengujian hipotesis. Penelitian ini dilakukan dengan membagikan kuisioner secara online kepada mahasiswa Fakultas Teknologi Informasi Universitas Kristen Satya Wacana angkatan 2023. Hasil penelitian menunjukan bahwa dari 10 hipotesis, hanya 6 hipotesis yang diterima dan 4 hipotesis ditolak.Kata kunci: E-learning, Analisis, SmartPLS, UTAUT2, Universitas Kristen Satya Wacana. Abstract - The purpose of this study is to analyze the factors that influence the acceptance and use of Flearn by students, because many students are sometimes not familiar with the use of e-learning as learning, due to various factors, and implementation of an e-learning will always be related to user acceptance so it is necessary to analyze the factors that can influence students' intention / interest in using Flearn as a learning method. This research uses the UTAUT2 model. There are 7 factors that are the basis of measurement in this study, namely performance expectancy, effort expectancy, facilitating conditions, empowerment in learning, habits, behavioral intention, and use behavior. The method used is quantitative. Data analysis using the SEM-PLS technique with a data processing application program, namely SmartPLS version 4. Data processing is carried out with several tests, namely validity test, reliability test, inner model test and hypothesis testing. This research was conducted by distributing questionnaires online to students of the Faculty of Information Technology, Satya Wacana Christian University class of 2023. The results showed that of the 10 hypotheses, only 6 hypotheses were accepted and 4 hypotheses were rejected.Keywords: E-learning, Analytics, SmartPLS, UTAUT2, Satya Wacana Christian University.
Sistem Informasi Geografis Pemetaan Lokasi Rawan Kecelakaan Lalu Lintas Berbasis Web di Wilayah Polres Timor Tengah Utara
Authors: Meha Dhelestin Eflin , Nababan Darsono , Lestari Anastasia Kadek Dety , Bobu Fertonela Rambu 
Published: December 2024

Abstrak - Sistem informasi geografis merupakan salah satu jenis sistem informasi yang data – datanya ditampilkan dalam bentuk geografis. Banyak bidang telah menerapkan SIG untuk mengetahui lokasi rawan banjir, rawan kekeringan dan sebagainya. Terkait lokasi rawan, rawan kecelakaan lalu lintas menjadi penyebab utama yang sering terjadi di daerah kabupaten TTU yang menyebabkan kecelakaan lalu lintas sering terjadi. Namun, di daerah kab. TTU belum memiliki SIG rawan kecelakaan lalu lintas yang dimana masyarakat tidak akan mengetahui lokasi – lokasi rawan kecelakaan. penelitian ini bertujuan untuk membangun sebuah sistem informasi geografis pemetaan lokasi daerah rawan kecelakaan lalu lintas agar masyarakat dapat mengetahui informasi titik lokasi rawan kecelakaan untuk menghindari kecelakaan. metode yang digunakan ialah metode waterfall dan menggunakan framework laravel dalam membangun SIG rawan kecelakaan serta menerapkan leaflet untuk sebagai alat pendukung guna menampilkan titik-titik lokasi kecelakaan. Hasilnya sistem SIG rawan kecelakaan ini memudahkan masyarakat dalam mengetahui lokasi-lokasi rawan kecelakaan yang ada dan masyarakat dapat melakukan laporan kecelakaan kepada kepolisian jika terjadi kecelakaan lalulintas melalui sistem yang dibuat ini. Kata kunci: Sistem Informasi Geografis, Kecelakaan Lalu Lintas, Kabupaten TTU, Leaflet, Waterfall Abstract - A geographic information system is a type of information system whose data is displayed in geographic form. Many fields have implemented GIS to identify locations prone to flooding, prone to drought and so on. Regarding vulnerable locations, traffic accident proneness is one of the main factors that often occur in the TTU district area which causes traffic accidents to occur frequently. However, in the district area. TTU does not yet have a traffic accident-prone GIS where the public will not know the accident-prone locations. This research aims to build a geographic information system mapping the locations of areas prone to traffic accidents so that the public can find out information on accident-prone locations to avoid accidents. The method used is the waterfall method and uses the Laravel framework to build an accident-prone GIS and applies leaflets as a supporting tool to display accident location points. As a result, this accident-prone GIS system makes it easier for the public to find out existing accident-prone locations and the public can also make reports and contact the police if a traffic accident occurs through this system.Keywords: Geographic information system, traffic accidents, TTU district, Leaflet, waterfall
Prototipe Promosi Jabatan Karyawan Berdasarkan Hasil Optimalisasi Komparasi Algoritma Data Mining (C4.5 Dan Neural Network) Berbasis Particle Swarm Optimization : Studi Kasus PT. Karya Tangkas Mandiri
Authors: Nurcahya Saputra Dwi 
Published: December 2024

Abstrak - Mengoptimalkan kualitas sumber daya manusia dalam perusahaan agar tercapai visi dan misi perusahaan. Oleh karena itu peningkatan pelayanan dapat dimulai dengan pengambilan keputusan yang tepat dan cepat serta obyektif, sehingga hasil keputusan akan memberikan kontribusi yang baik juga buat perusahaan. Sistem Teknologi Informasi yang berkembang saat ini sangat membantu dalam pengembangan sistem pengambilan keputusan yang akurat. PT. Karya Tangkas Mandiri adalah sebuah perusahaan swasta nasional yang bergerak dibidang jasa penyediaan tenaga pengamanan, konsultan dan ekspedisi, sangat erat dengan permasalahan Sumber Daya Manusia yang terus berputar mengikuti kebutuhan pengguna jasa layanan, mengakibatkan pergantian posisi sering terjadi. Maka diperlukan sebuah pemodelan pengambilan keputusan secara obyektif dalam promosi jabatan karyawan pada perusahaan ini, untuk membantu pihak menejerial dalam mengambil keputusan yang cepat dan akurat. Penelitian ini menggunakan metode pengkajian komparasi algoritma C4.5 dengan Neural Network berbasis Particle Swarm Optimization menggunakan software Rapid Miner dengan membandingkan beberapa klasifikasi. Hasil dari penelitian ini adalah menghasilkan sebuah model atau prototipe yang dapat menunjang pengambilan keputusan dalam hal menentukan promosi jabatan karyawan secara obyektif dan untuk memenuhi tantangan dunia bisnis saat ini.Kata kunci : C4.5, neural network, Particle Swarm Optimization, Rapid Miner, prototipe, Data Mining, Promosi Jabatan Abstract - Optimizing the quality of human resources for the company is required to reach the vision and mission of the company. Therefore, improvement of services can begin with making the right decisions quickly and objectively, so that the outcome will be a good contribution also for companies. Development of Information Technology Systems today are very helpful in the development of an accurate decision-making systems. PT Karya Tangkas Mandiri is a national private company engaged in the provision of security services, consulting and expeditions ,that very closely with Human Resources issues follow the needs of service users, resulting in frequent change of position. It would require an objective decision-making model in the promotion of employees on company, to help the managerial decisions quickly and accurately. This research using the method Comparative assesment of algorithms C4.5, bayessian classifier and Neural Network based on Particle Swarm Optimization using Rapid Miner software by comparing several classifications. Results of this research was to produce a model or protoype that can support the decision making in regards to determining promotion department employees objectively and to meet the challenges of the world today's business.Keywords: C4.5, neural network, Particle Swarm Optimization, Rapidminer, Prototype, Data Mining, Promotional Title
Sistem Pendukung Keputusan Penerimaan Mahasiswa Baru Jalur Beasiswa KIP pada STMIK Antar Bangsa dengan Metode Simple Additive Weight (SAW)
Authors: Hayatunisa Hayatunisa , Aulia Hilda , Al Adawiyah Robiah , Agung Permana Rizqi , Fajri Annur 
Published: December 2024

Abstrak- Penelitian ini bertujuan untuk mengembangkan sistem seleksi calon penerima beasiswa di STMIK Antar Bangsa dengan menerapkan metode Simple Additive Weighting (SAW). Hasil dari penelitian ini adalah sebuah sistem pendukung keputusan berbasis web yang di rancang untuk menilai kelayakan calon penerima beasiswa Kartu Indonesia Pintar (KIP). Sistem ini mengatasi permasalahan dalam proses seleksi manual yang memakan waktu dan menangani banyaknya pendaftar dengan cara yang lebih efisien. Melalui metode observasi, wawancara dan studi pustaka, sistem ini memungkinkan penilaian yang lebih objektif dan sesuai dengan kriteria yang telah di tetapkan. Kesimpulannya, sistem ini mempercepat proses seleksi dan memastikan penerima beasiswa kepada calon yang memenuhi syarat dengan lebih akurat.Kata Kunci: Sistem Pendukung Keputusan (SPK), Sistem Informasi, Simple Additive Weighting (SAW), Beasiswa. Abstract -The study aims to develop a scholarship selection system at STMIK Antar Bangsa by applying the Simple Additive Weighting (SAW) method. The outcome of this research is a web-based decision support system designed to evaluate the eligibility of Kartu Indonesia Pintar (KIP) scholarship applicants. This system addresses issues related to the time consuming manual selection process and manages a large volume of applicants more efficiently. Utilizing observation, interviews, and literature review methods, the system facilitates a more objective assessment aligned with the established criteria. In conclusion, the system streamlines the selection process and ensure that scholarships are awarded to eligible candidates with greater accuracy.Keywords: Decision Support System (DSS), Simple Additive Weighting (SAW), Information System
ANALYSIS OF RISK FACTORS AND STROKE PREVENTION
Authors: Azmii Nazhira , Susanti Nofi , Syafira Irwani Siregar Nazwa , Artila Tita 
Published: December 2024

Stroke is a disease known as the “silent killer,” in which there is a loss of brain function caused by a loss of blood supply to the brain. Several factors can contribute to the occurrence of a stroke, which can be divided into modifiable factors and non-modifiable factors. Variables/modifiers include hypertension, smoking, diabetes mellitus (DM), heart disease, dyslipidemia, exercise and obesity, alcohol, drug abuse, oral contraceptives, blood disorders, sleep, lipoproteins and homocysteine . On the other hand, factors that cannot be changed are age, gender, race/ethnicity, and genetics. The purpose of this study was to determine the repeated risk factors and prevention of repeated strokes. The method used in this study is research and literature research, and the source is obtained from Proquest, Ovid, and Google Schoolar. 20 scientific journals were used in this study. The results showed that the main risk factors causing a stroke are the accumulation of fatty substances, cholesterol, calcium and other elements that supply blood to the heart and brain muscles, which has the effect of reducing the blood flow to the brain and heart. But strokes can be prevented by several efforts, stroke prevention efforts are carried out through several programs, one of which is the effect of providing healthy lifestyles CERDIK andPATUH Prevent stroke modification to stroke sufferers so that they know the promotive efforts of prevention of stroke.
Acute myeloid leukemia management and research in 2025
Authors: Kantarjian Hagop M. , DiNardo Courtney D. , Kadia Tapan M. , Daver Naval G. , Altman Jessica K. , Stein Eytan M. , Jabbour Elias , Schiffer Charles A. , Lang Amy , Ravandi Farhad 
Published: December 2024

AbstractThe first 5 decades of research in acute myeloid leukemia (AML) were dominated by the cytarabine plus anthracyclines backbone, with advances in strategies including allogeneic hematopoietic stem cell transplantation, high‐dose cytarabine, supportive care measures, and targeted therapies for the subset of patients with acute promyelocytic leukemia. Since 2017, a turning point in AML research, 12 agents have received regulatory approval for AML in the United States: venetoclax (BCL2 inhibitor); gemtuzumab ozogamicin (CD33 antibody–drug conjugate); midostaurin, gilteritinib, and quizartinib (fms‐like tyrosine kinase 3 inhibitors); ivosidenib, olutasidenib, and enasidenib (isocitrate dehydrogenase 1 and 2 inhibitors); oral azacitidine (a partially absorbable formulation); CPX351 (liposomal encapsulation of cytarabine:daunorubicin at a molar ratio of 5:1); glasdegib (hedgehog inhibitor); and recently revumenib (menin inhibitor; approved November 2024). Oral decitabine‐cedazuridine, which is approved as a bioequivalent alternative to parenteral hypomethylating agents in myelodysplastic syndrome, can be used for the same purpose in AML. Menin inhibitors, CD123 antibody–drug conjugates, and other antibodies targeting CD123, CD33, and other surface markers are showing promising results. Herein, the authors review the frontline and later line therapies in AML and discuss important research directions.
Resilience and sustainability of entrepreneurial mindsets in Ghanaian youth: a five-year impact study of sports training programs
Authors: Nyanyofio Oscar Cornelius Nyanyo , Musah Karim , Nyawornota Vida Korleki , Tay Doris Akosua , Adamba Clement , Malete Leapetswe , McCole Daniel , Ocansey Reginald Tetteh-Ahumah 
Published: December 2024

IntroductionYouth sports programs are recognized as effective tools for fostering entrepreneurial mindsets, resilience, and sustainable personal development. This study evaluates the long-term impact of the Africa Alliance for Partnerships (AAP) program on the academic and professional trajectories of its alumni, with a focus on sustained entrepreneurial skills and personal growth.MethodsA structured survey was conducted among alumni who participated in the AAP program at least five years prior. Data on academic performance, career development, entrepreneurial activities, and personal experiences were collected and analyzed. Quantitative data were subjected to statistical tests, including regression and correlation analyses, while qualitative feedback underwent sentiment analysis.ResultsFindings indicate significant academic performance improvements and enhanced entrepreneurial skills among participants. The average skill application scores increased consistently from 2018 to 2023, with a strong positive correlation (r = 0.75) between skill application and academic improvement. Sentiment analysis revealed predominantly positive feedback, underscoring participant satisfaction with the program. Gender analysis showed no significant differences in outcomes, highlighting the program’s inclusivity.DiscussionThe AAP program successfully instilled entrepreneurial mindsets and resilience, sustained over five years. Key factors contributing to its success include mentorship, leadership training, and exposure to real-world challenges. These findings demonstrate the potential of sports-based youth development programs as sustainable models for fostering entrepreneurship and personal growth. Future research should explore additional external factors influencing outcomes and assess the scalability of such programs in diverse contexts.
Associations between non-insulin-based insulin resistance indices and diabetic nephropathy in patients with diabetes mellitus in US adults: a cross-sectional study of NHANES 1999–2018
Authors: Zhang Fan , Han Yan , Mao Yonghua , Li Wenjian 
Published: December 2024

ObjectiveThis study investigated the associations between non-insulin-based insulin resistance indices (METS-IR, TyG, TG/HDL, and TyG-BMI) and the risk of diabetic nephropathy (DN) in US adults with diabetes mellitus (DM).MethodsThis study was based on the 1999-2018 National Health and Nutrition Examination Survey (NHANES) database and included 6,891 patients with DM for cross-sectional analysis. Multivariate adjusted models and restricted cubic spline (RCS) models were employed to assess the association between the insulin resistance index and the risk of DN. Subgroup analyses were conducted to explore the impact of different population characteristics.ResultsThe results indicated that higher quartiles of METS-IR, TyG, TG/HDL, and TyG-BMI were associated with a significantly increased risk of DN. After adjusting for multiple covariates, including gender, age, and race, the associations between these indices and the risk of DN remained significant, with corresponding odds ratios (ORs) of 1.51 (95% confidence interval [CI]: 1.29-1.76), 2.06 (95% CI: 1.77-2.40), 1.61 (95% CI: 1.38-1.88), and 1.57 (95% CI: 1.35-1.84), with all P-values less than 0.001. RCS analysis indicated a nonlinear relationship between these indices and the risk of DN. The TyG index exhibited a highly consistent association with the risk of DN in all models.ConclusionNon-insulin-based insulin resistance indices are significantly associated with the risk of DN. The TyG index is a superior tool for assessing the risk of DN. These indices can assist in identifying patients at risk of DN, thereby enabling the implementation of more effective preventive and therapeutic strategies.
Review of clinical and imaging findings in autoimmune glial fibrillary acidic protein astrocytopathy to aid in early diagnosis
Authors: Li Xiaomeng , Li Jiacun , Xu Han , Liu Xiaohui , Li Meilin , He Jingzhen , Xiu Jianjun 
Published: December 2024

ObjectiveAutoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A) is a novel steroid sensitive autoimmune disease, without a diagnostic consensus. The purpose of this study was to improve early GFAP-A diagnosis by increasing awareness of key clinical characteristics and imaging manifestations.MethodsMedical records of 13 patients with anti-GFAP antibodies in serum or cerebrospinal fluid (CSF) were reviewed for cross-sectional and longitudinal analysis of clinical and magnetic resonance imaging (MRI) findings.ResultsThe predominant GFAP-A clinical manifestations are limb weakness/numbness and fever. GFAP-A has a propensity in the early stage for meningeal and leptomeningeal lesions on the brainstem surface, with a typical pattern of periventricular linear radial and leptomeningeal enhancement. The clinical manifestations and leptomeningeal enhancement were rapidly alleviated after treatment with high doses of corticosteroids or/and intravenous immunoglobulin, although, there are patients who may present with increased brain parenchymal lesions. On 3T MRI, the spinal cord demonstrated extensive longitudinal T2-weighted hyper-intensity, central distribution, and gray matter involvement. Optic nerve involvement in some patients was also noted with optic nerve swelling and abnormal enhancement. In addition to the classic reversible splenium of corpus callosum syndrome (type I), this study found the much rarer type II with diffusion restriction on DWI (Diffusion Weighted Imaging) in the corpus callosum. Positive anti-GFAP antibodies in serum or cerebrospinal fluid (CSF) are important for GFAP-A diagnosis with overlapping antibodies commonly noted. This study found anti-GM3 antibodies, a rare finding also previously reported.ConclusionThis study correlates GFAP-A clinical and imaging features, noting a “delay” phenomenon between clinical manifestations, treatment response, and radiographic MRI findings. MRI T2-FLAIR brainstem hyperintensity and T2-FLAIR gadolinium enhanced images, and subtraction techniques were valuable for early lesion detection and accurate diagnosis.
AMBRA1 drives gastric cancer progression through regulation of tumor plasticity
Authors: Ye Liuqi , Lin Danlei , Zhang Wen , Chen Shiji , Zhen Yumiao , Akkouche Sara , Liang Xiaoxu , Chong Cheong-Meng , Zhong Hai-Jing 
Published: December 2024

BackgroundStomach adenocarcinoma (STAD) is an aggressive malignancy characterized by high tumor plasticity and heterogeneity. This study investigates the role of Autophagy and Beclin 1 Regulator 1 (AMBRA1) in regulating tumor plasticity in STAD progression.MethodsCombined with clinical data, the pan-cancer analysis of AMBRA1 was performed to analyze the role of AMBRA1 in STAD. Western blot, Flow Cytometry (FCM) assay, trans-well assay, wound healing assay, MTT, Reactive Oxygen Species (ROS) assay, Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR) and staining were performed to study the effects of AMBRA1 in AGS human gastric cancer cells. An AGS gastric cancer xenograft model was constructed to further verify the role of AMBRA1 in the development of STAD.ResultsAMBRA1 overexpression correlated with poor overall survival in STAD and was positively associated with T cell CD4+ infiltration. High AMBRA1 expression also indicated worse prognosis in patients with high cancer-associated fibroblast infiltration. AMBRA1 depletion suppressed STAD cell proliferation, migration, and invasion in vitro. Mechanistically, AMBRA1 knockdown induced G1/S cell cycle arrest and triggered cellular senescence through epigenetic alterations, including changes in H3K9me3 levels. AMBRA1 inhibition also sensitized STAD cells to chemotherapeutic agents. In vivo studies confirmed the tumor-suppressive effects of AMBRA1 loss, resulting in reduced tumor growth and increased cellular senescence.ConclusionsOur findings uncover an oncogenic role for AMBRA1 in STAD. Targeting AMBRA1 may induce tumor cell senescence, apoptosis, and potentiate anti-tumor immunity, providing a rationale for developing AMBRA1-targeted precision therapies to improve clinical outcomes in STAD patients.