bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peningkatan Pendapatan melalui Aplikasi Ciblon oleh Pedagang Kaki Lima
Authors: Selviani Linda , Baharudin Fadli Amar , Rivai Mahfud 
Published: January 2025

Penelitian ini bertujuan untuk mengetahui strategi inovasi yang digunakan oleh pedagang kaki lima untuk meningkatkan pendapatan, menganalisis efektivitas aplikasi Ciblon (Cilacap Belanja Online) untuk mendukung pertumbuhan ekonomi lokal dan memberdayakan pedagang kaki lima. Jenis penelitina ini adalah kualitatif dengan pendekatan studi kasus. Teknik sampling pada penelitian ini menggunakan purposive sampling, sedangkan pengumpulan data dilakukan dengan wawancara, observasi, dan diskusi kelompok terfokus (FGD) dengan memberikan kuesioner kepada 10 orang responden. Uji keabsahan data dilakukan dengan triangulasi untuk selanjutnya dilakukan analisis secara mendalam dengan menggunakan analisis data model interaktif dan disajikan secara deskriptif. Hasil penelitian menunjukan bahwa strategi peningkatan pendapatan oleh pedagang kaki lima dilakukan dengan berbagai cara yaitu pengembangan produk, peningkatan kualitas pelayanan, pemasaran, kemitraan, pemanfaatkan platform digital, dan pengembangan aplikasi Ciblon. Selain itu, penelitian ini juga mengidentifikasi kendala seperti kurangnya pengetahuan digital dan terbatasnya perangkat yang memadai menjadi faktor penghambat. Studi ini menyimpulkan bahwa aplikasi Ciblon memiliki potensi besar dalam memberdayakan pedagang kaki lima, namun perlu didukung dengan program pelatihan dan sosialisasi yang lebih intensif sehingga dapat meningkatkan pendapatan dan kesejahteraan mereka.
Analisis Faktor Pengetahuan Produk dan Promosi terhadap Keputusan Menabung pada Bank Syariah
Authors: Muhammad Daffa Dhiya’ulhaq  , Rika Lidyah  
Published: January 2025

Penelitian ini bertujuan untuk mengetahui pengaruh pengetahuan produk, dan promosi terhadap keputusan nasabah menabung pada Bank Sumsel Babel Syariah Kantor Cabang Palembang. Variabel independen dalam penelitian ini yaitu pengetahuan produk (X1), dan promosi (X2), sedangkan variabel dependen dalam penelitian ini adalah keputusan nasabah (Y). Populasi dalam penelitian ini adalah seluruh nasabah Bank Sumsel Babel Syariah Kantor Cabang Palembang. Sampel sebanyak 100 nasabah dengan menggunakan rumus Lemeshow dan menggunakan teknik Sampling insidental. Data yang digunakan adalah data primer. Teknik analisis data pada penelitian ini menggunakan SPSS, yang terdiri dari uji asumsi klasik, uji regresi linier berganda, dan uji hipotesis. Hasil penelitian ini didapat dari uji t dan uji F yang menunjukkan bahwa variabel, pengetahuan produk, dan promosi berpengaruh positif dan signifikan terhadap keputusan nasabah secara parsial yaitu variabel Pengetahuan Produk terhadap Keputusan Nasabah Menabung pada Bank Sumsel Babel Kantor Cabang Palembang. Diperoleh nilai coefficients sebesar thitung > ttabel = 4,961> 1,98477 dan Variabel Promosi terhadap Keputusan Nasabah Menabung pada Bank Sumsel Babel Kantor Cabang Palembang diperoleh nilai coefficients sebesar thitung > ttabel = 2,850 > 1,98477 serta uji simultan berpengaruh positif dan signifikan.
Pengembangan E-Modul IPA Berbasis Etnosains untuk Meningkatkan Kemampuan Literasi Sains Siswa
Authors: Gudesma Arin , Ismet  , Kistono  
Published: January 2025

Penelitian ini bertujuan mengembangkan E-Modul berbasis etnosains untuk meningkatkan kemampuan literasi sains peserta didik. Jenis penelitian ini menggunakan metode penelitian pengembangan atau development research. Penelitian ini menggunakan model pengembangan 4D Thiagarajan. Teknik pengumpulan data yang dilakukan peneliti adalah Teknik walkthrough, angket respon peserta didik dan instrument tes. Hasil penelitian menunjukkan bahwa E-Modul yang dikembangkan dinyatakan valid oleh ahli. Pada tahap uji coba terbatas dengan 5 peserta didik diperoleh skor 90,00% (sangat praktis) dengan N-gain sebesar 0,64 (kategori sedang). Pada tahap uji coba luas dengan 22 peserta didik diperoleh skor 85,61% (sangat praktis) dan N- gain sebesar 0,68 (kategori sedang) sehingga E- Modul berbasis etnosains dapat menghasilkan E-Modul yang valid, praktis dan dapat meningkatkan kemampuan literasi sains. Dengan demikian E-Modul yang dikembangkan dapat dengan mudah digunakan dalam pembelajaran Fisika.
Efektivitas Model Pembelajaran Student Facilitator and Explaining dalam Meningkatkan Kemandirian Belajar
Authors: Muhammad Ilham Prasetyo  , Nurul Azizah  , Muhammad Akmansyah  , Umihijriyah  , Erni Yusnita  
Published: January 2025

Penelitian ini bertujuan untuk mengetahui efektivitas model pembelajaran student facilitator and explaning (SFAE) terhadap kemandirian belajar peserta didik pada mata pelajaran Pendidikan Agama Islam di SMA Kemala Bhayangkari Lampung Utara. Jenis penelitian ini adalah kuantitatif. Penelitian ini menggunakan metode Quasi Experimental Design. Instrumen penelitian ini menggunakan angket. Diuji menggunakan SPSS 25 dan teknik analisis data menggunakan uji normalitas,uji reliabilitas dan uji T. Hasil penelitian ini menunjukkan model pembelajaran Student Facilitator and Explaining (SFAE) memiliki pengaruh yang signifikan dalam meningkatkan kemandirian belajar siswa, khususnya pada mata pelajaran Pendidikan Agama Islam. Berdasarkan uji hipotesis menggunakan Independent Samples T-Test, nilai (Sig.) pada uji Levene sebesar 0,797 menunjukkan bahwa asumsi kesetaraan varians terpenuhi, sehingga analisis menggunakan baris pertama output uji T dinyatakan valid dan hasil nilai t sebesar 2,343 dengan derajat kebebasan (df) sebesar 53 dan nilai Sig. (2-tailed) sebesar 0,023, yang lebih kecil dari 0,05, sehingga dapat disimpulkan bahwa terdapat perbedaan rata-rata yang signifikan antara kelompok eksperimen dan kelompok kontrol. Hal ini membuktikan bahwa pendekatan SFAE efektif dalam meningkatkan kemandirian belajar siswa.
Digital Footprint as a Source of Big Data in Education
Authors: Shamsutdinova T. M. 
Published: January 2025

The purpose of this study is to consider the prospects and problems of using big data in education.Materials and methods. The research methods include analysis, systematization and structuring of information in the field of big data application in education, as well as modeling and software implementation of a test model for processing big data by using the Apache Spark framework.Results. The article considers the key aspects of using big data in education. In particular, the sources of big data in the form of a digital footprint of learning, methods of analysis and areas of application of big data are considered. At the same time, the following sources of big data in education were identified: electronic educational environment and electronic library of the university; mobile applications for learning; university website; social networks and forums; feedback data, requests and surveys; personal data, including psychometric characteristics of students; data from scientific smart laboratories; data from video surveillance and access control systems; data on the career path and success of graduates. The use of big data in education includes the following points: personalization of e-learning, issuance of personalized recommendations; data analytics; assessment and feedback; predicting student success; monitoring the quality of education; creation of a learner model; development of curricula based on employer requests; development of new educational programs; emergence of new learning models; improvement of university management processes; improvement of the work of the admissions office; modernization of software and hardware teaching aids; optimization of the teaching staff. The following problems are considered as problems of using big data in education: protection of personal data, the need for new methodologies and technologies for analyzing big data, the need for significant modernization of the technical means available in the education system, the need for qualified personnel. The article also provides a test example of analyzing a log file (event log) of an e-course using Spark SQL big data processing technologies. The example shows the potential and practical applicability of big data processing technologies to the tasks of analyzing the digital footprint of learning.Conclusion. Big data in education can provide unique opportunities for analyzing and optimizing the educational process, helping to identify trends, predict student success and adapt educational programs to the individual needs of students. However, the use of big data in the educational sphere also implies certain risks and challenges related to ethical aspects, protection of personal data and the need for personnel modernization of the existing education system. For the successful integration of data analytics into educational practice, it is necessary to develop not only technical resources, but also the level of digital security and ethics in the use of personal data.
Benefits of Remote-Based Mindfulness on Physical Symptom Outcomes in Cancer Survivors: Systematic Review and Meta-Analysis
Authors: Komariah Maria , Maulana Sidik , Amirah Shakira , Platini Hesti , Rahayuwati Laili , Yusuf Ah , Firdaus Mohd Khairul Zul Hasymi 
Published: January 2025

Abstract

Background
Many cancer survivors experience a wide range of symptoms closely linked to psychological problems, highlighting the need for psychological treatment, one of the most popular being mindfulness. The use of the internet has greatly increased in the last decade, and has encouraged the use of remote-based interventions to help people living with cancer access treatment remotely via devices.

Objective
The primary aim of this study was to explore the efficacy of internet-based mindfulness interventions on the physical symptoms of people living with cancer, where physical symptoms are defined as distressing somatic experiences (eg fatigue, insomnia, and pain) regardless of the underlying cause. The secondary aim was to investigate interventions for the quality of life (QoL).

Methods
This study followed the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. Relevant articles were systematically searched using electronic databases, namely Scopus, Medline through PubMed, Cumulated Index in Nursing and Allied Health Literature (CINAHL) through EBSCOhost, and Cochrane Central Database. Randomized controlled and pilot trials involving adults and/or older adults with cancer and using remote-based mindfulness interventions compared to usual care were included. The quality of the trials included in this study was assessed using the revised Cochrane risk of bias, version 2.0. This study estimated the standardized mean difference (SMD) and mean difference (MD) with 95% CI. The I2 test was used to identify potential causes of heterogeneity. Publication bias was assessed using contour-enhanced funnel plots and the Egger linear regression test to reveal a small study effect.

Results
The initial search yielded 1985 records, of which 13 studies were ultimately included. After treatment, remote-based mindfulness significantly reduced fatigue (SMD −0.94; 95% CI: −1.56 to −0.33; P=.002), sleep disturbance (SMD −0.36; 95% CI: −0.60 to −0.12; P=.004), and improved physical function (SMD .25; 95% CI: 0.09 to 0.41; P=.002) compared to that observed before treatment. However, compared with usual care, remote-based mindfulness showed a statistically significant reduction only in sleep disturbance (SMD: −0.37; 95% CI: −0.58 to −0.16; P=.0006) after treatment. Moreover, remote-based mindfulness was not statistically significant in reducing pain both within and between groups.

Conclusions
Remote-based mindfulness shows promise in reducing sleep disturbances; however, its impact on fatigue, pain, and physical function may be limited.
Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study
Authors: Bondaronek Paulina , Li Jingfeng , Potts Henry W W 
Published: January 2025

Abstract

Background
The rapid proliferation of health apps has not been matched by a comparable growth in scientific evaluations of their effectiveness, particularly for apps available to the public. This gap has prompted ongoing debate about the types of evidence necessary to validate health apps, especially as the perceived risk level varies from wellness tools to diagnostic aids. The perspectives of the general public, who are direct stakeholders, are notably underrepresented in discussions on digital health evidence generation.

Objective
This study aimed to explore public understanding and expectations regarding the evidence required to demonstrate health apps’ effectiveness, including at varying levels of health risk.

Methods
A total of 4 focus group discussions were held with UK residents aged 18 years and older, recruited through targeted advertisements to ensure demographic diversity. Participants discussed their views on evidence requirements for 5 hypothetical health apps, ranging from low-risk wellness apps to high-risk diagnostic tools. Focus groups were moderated using a structured guide, and data were analyzed using reflexive thematic analysis to extract common themes.

Results
A total of 5 key themes were established: personal needs, app functionality, social approval, expectations of testing, and authority. Participants relied on personal experiences and social endorsements when judging the effectiveness of low-risk digital health interventions, while making minimal reference to traditional scientific evidence. However, as the perceived risk of an app increased, there was a noticeable shift toward preferring evidence from authoritative sources, such as government or National Health Service endorsements.

Conclusions
The public have a preference for evidence that resonates on a personal level, but also show a heightened demand for authoritative guidance as the potential risk of digital health interventions increases. These perspectives should guide developers, regulators, and policy makers as they balance how to achieve innovation, safety, and public trust in the digital health landscape. Engaging the public in evidence-generation processes and ensuring transparency in app functionality and testing can bridge the gap between public expectations and regulatory standards, fostering trust in digital health technologies.
Characterizing Telehealth Barriers and Preferences to Promote Acceptable Implementation Strategies in Central Uganda: Multilevel Formative Evaluation
Authors: Kizito Michael , Mugabi Erina Nabunjo , Ford Sabrina , Holtz Bree , Hirko Kelly 
Published: January 2025

Abstract

Background
Telehealth approaches can address health care access barriers and improve care delivery in resource-limited settings around the globe. Yet, telehealth adoption in Africa has been limited, due in part to an insufficient understanding of effective strategies for implementation.

Objective
This study aimed to conduct a multi-level formative evaluation identifying barriers and facilitators for implementing telehealth among health service providers and patients in Central Uganda.

Methods
We collected surveys characterizing telehealth perceptions, barriers, and preferences from health care providers and patients seeking primary care in the Central Region of Uganda from January 2022 to July 2022. Survey development was informed by the technology acceptance model and evaluated predictors of technology acceptance (ie, perceived usefulness, ease of use, and attitudes). We used descriptive statistics to characterize telehealth perceptions and examined differences according to provider and patient characteristics using Student t tests.

Results
Nearly 79% (n=48) of 61 providers surveyed had used telehealth, and perceptions were generally favorable. While 93.4% (n=57) reported that telehealth adds value to clinical practice, less than half (n=30, 49.2%) felt telehealth was more efficient than in-person visits. Provider-reported barriers to telehealth included technology challenges for the patient (34/132, 26%), low patient engagement (25/132, 19%), and lack of implementation support (24/132, 18%). Telehealth use was lower among the 91 surveyed patients, with only 19.8% (n=18) having used telehealth. Although 89% (n=81) of patients reported saving time with telehealth approaches, 33.3% (n=30) of patients reported that telehealth made them feel uncomfortable, and 43.8% (n=39) reported concerns about confidentiality. Over 72% (n=66) of patients who had used telehealth previously reported satisfaction with the telehealth services they received. Several differences in perceptions of telehealth according to patient’s self-reported health status were observed.

Conclusions
Perceptions of telehealth were generally favorable, although higher among providers than patients. Barriers impeding telehealth use include technology challenges and the lack of infrastructure and implementation support. Findings from this study can inform the implementation of acceptable telehealth approaches to address disparities propagated by health care access barriers in Sub-Saharan Africa.
The Impact of Data Control and Delayed Discounting on the Public’s Willingness to Share Different Types of Health Care Data: Empirical Study
Authors: Wei Dongle , Gao Pan , Zhai Yunkai 
Published: January 2025

Abstract

Background
Health data typically include patient-generated data and clinical medical data. Different types of data contribute to disease prevention, precision medicine, and the overall improvement of health care. With the introduction of regulations such as the Health Insurance Portability and Accountability Act (HIPAA), individuals play a key role in the sharing and application of personal health data.

Objective
This study aims to explore the impact of different types of health data on users’ willingness to share. Additionally, it analyzes the effect of data control and delay discounting rate on this process.

Methods
The results of a web-based survey were analyzed to examine individuals’ perceptions of sharing different types of health data and how data control and delay discounting rates influenced their decisions. We recruited participants for our study through the web-based platform “Wenjuanxing.” After screening, we obtained 257 valid responses. Regression analysis was used to investigate the impact of data control, delayed discounting, and mental accounting on the public’s willingness to share different types of health care data.

Results
Our findings indicate that the type of health data does not significantly affect the perceived benefits of data sharing. Instead, it negatively influences willingness to share by indirectly affecting data acquisition costs and perceived risks. Our results also show that data control reduces the perceived risks associated with sharing, while higher delay discounting rates lead to an overestimation of data acquisition costs and perceived risks.

Conclusions
Individuals’ willingness to share data is primarily influenced by costs. To promote the acquisition and development of personal health data, stakeholders should strengthen individuals’ control over their data or provide direct short-term incentives.
Media Pembelajaran Digital Book Berbasis Active Learning Muatan IPS Materi Lingkungan Sahabat Kita untuk Siswa Kelas V Sekolah Dasar
Authors: Wirasuta I Putu Adi 
Published: January 2025

Berkaitan dengan perkembangan teknologi, penggunaan media menjadi salah satu inovasi dalam pembelajaran. Namun, terbatasnya keberadaan media di satuan pendidikan membuat guru lebih cenderung melaksanakan pembelajaran yang bersifat konvensional tanpa menggunakan media pembelajaran. Penelitian ini bertujuan untuk mengembangkan Digital Book Interaktif berbasis Active Learning materi lingkungan sahabat kita pada mata pelajaran IPS kelas V Sekolah Dasar yang teruji rancang bangun, kelayakan dan efektivitasnya. Penelitian ini merupakan penelitian pengembangan yang mengacu pada model pengembangan ADDIE. Metode pengumpulan data menggunakan kuesioner dan tes. Subjek dalam penelitian sebanyak 30 siswa. Hasil dari penelitian ini menunjukkan bahwa media Digital Book Interaktif berbasis Acitive Learning dinyatakan layak berdasarkan hasil review ahli rancang bangun dengan kualifikasi sangat baik (88,6%); hasil review ahli isi pembelajaran dengan kualifikasi sangat baik (91,1%); hasil review ahli desain pembelajaran dengan kualifikasi sangat baik (90% ); hasil review ahli media pembelajaran dengan kualifikasi sangat baik (89,2% ); hasil uji perorangan dari siswa dengan kualifikasi sangat baik (94,2%); hasil uji kelompok kecil dari siswa dengan kualifikasi sangat baik (91,0%); hasil uji lapangan dari siswa dengan kualifikasi sangat baik (95,7%). Hasil uji efektivitas menunjukkan thitung sebesar 7,213 untuk dk= 29 dan taraf signifikan 5% ttabel =1,699 sehingga H0 ditolak dan H1 diterima. Dengan demikian, dapat disimpulkan bahwa pengembangan Digital Book Interaktif berbasis Active Learning materi lingkungan sahabat kita pada mata pelajaran IPS kelas V Sekolah Dasar sangat layak dan efektif diterapkan dalam proses pembelajaran.
Strategi Pembelajaran Metakognitif Berbantuan E-LKPD HOTS terhadap Kemampuan Berpikir Logis Matematika Siswa Kelas IV Sekolah Dasar
Authors: Wardani Ni Komang Novi , Jampel I Nyoman 
Published: January 2025

Pembelajaran matematika yang monoton menjadi salah satu permasalahan yang kerap terjadi dalam pembelajaran matematika. Hal tersebut jelas berpengaruh pada minat belajar siswa sehingga berdampak pada kemampuan berpikir siswa yang berimbas pada hasil belajar siswa. Tujuan dari penelitian ini yaitu untuk mengetahui pengaruh strategi Pembelajaran Metakognitif berbantuan E-LKPD HOTS terhadap kemampuan berpikir logis matematika siswa kelas IV SD. Jenis penelitian ini adalah eksperimen semu dengan desain penelitian yaitu non-equivalent post-test only control group design. Populasi dalam penelitian ini adalah seluruh siswa kelas IV SD di Gugus II Kecamatan Buleleng Tahun Pelajaran 2023/2024 yang berjumlah 254 orang yang terdiri dari 10 kelas dan 9 Sekolah. Pengambilan sampel dalam penelitian ini menggunakan teknik simple random sampling dengan komposisi sampel berjumlah yang berjumlah 29 orang sebagai kelompok Eksperimen dan 25 orang sebagai kelompok kontrol. Pengumpulan data dilakukan dengan menggunakan metode Tes uraian yang berjumlah 5 butir. Data tersebut dianalisis menggunakan uji-t dengan hasil yang didapatkan yaitu thitung = 116,7 dan ttabel = 2.01. Kriteria pengujian menunjukkan thitung (116,7) > ttabel (2,01) sehingga H1 diterima dan H0 ditolak. Kesimpulan dari hasil analisis data dalam penelitian ini adalah bahwa terdapat pengaruh yang signifikan strategi pembelajaran metakognitif berbantuan E-LKPD HOTS terhadap kemampuan berpikir logis matematika siswa kelas IV di SD Gugus II Kecamatan Buleleng. Dengan dilaksanakan penelitian ini, maka hasilnya dapat digunakan sebagai acuan baik oleh guru untuk meningkatkan minat belajar siswa dalam pembelajaran matematika dan sebagai sumber informasi bagi peneliti lainnya.