bluuebunny/crossref_metadata_2025 huggingface dataset:
RELEVANSI KURIKULUM KOMPETENSI KEAHLIAN TEKNIK KENDARAAN RINGAN TERHADAP KEBUTUHAN DUNIA USAHA DAN DUNIA INDUSTRI DI SMK MUHAMMADIYAH 3 YOGYAKARTA
Authors: Feristiawan Agastia
Published: March 2022

Penelitian ini bertujuan untuk mengetahui: (1) Kompetensi apa saja yang dibutuhkan oleh industri otomotif di Yogyakarta; (2) Kompetensi keahlian TKR di SMK Muhammadiyah 3 Yogyakarta; dan (3) Tingkat relevansinya. Penelitian ini merupakan penelitian deksriptif, dengan subjek penelitian adalah SMK Muhammadiyah 3 Yogyakarta dan Industri Otomotif Kendaraan Ringan yang berstatus autorized sebanyak 3 Perusahaan. Pengumpulan data dengan kuisioner dan dokumentasi. Uji validitas isi dengan berdasar pertimbangan logis expert judgement. Teknik analisis yang digunakan adalah deskriptif kuantitatif, data dinyatakan dengan persentase. Hasil penelitian ini menunjukkan bahwa: (1) Kompetensi Keahlian TKR yang diperlukan Industri terdapat 208 Kompetensi Dasar; (2) Kompetensi Keahlian TKR yang diajarkan di SMK Muhammadiyah 3 Yogyakarta dibagi dalam 7 Mata Pelajaran Produktif dan 256 Kompetensi Dasar; (3) secara keseluruhan kompetensi memiliki nilai rerata sebesar 81,2% dan dikategorikan dalam kategori sangat relevan dengan kebutuhan dunia industri otomotif di Daerah Istimewa Yogyakarta. Mata Pelajaran yang tidak relevan adalah Gambar Teknik Otomotif dan Produk Kreatif dan Kewirausahaan.Kata Kunci : Relevansi, Kompetensi Keahlian, Teknik Kendaraan Ringan, dan Kebutuhan Industri Otomotif
Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial
Authors: Fundingsland Jr Edwin Lauritz , Fike Joseph , Calvano Joshua , Beach Jeffrey , Lai Deborah , He Shuhan
Published: March 2022

With the growing importance of communicating with the public via the web, many industries have used web analytics to provide information that organizations can use to better achieve their goals. Although the importance of health care websites has also grown, the health care industry has been slower to adopt the use of web analytics. Web analytics are the measurement, collection, analysis, and reporting of internet data used to measure direct user interaction. Our objective is to provide generalized methods for using web analytics as key performance metrics to evaluate websites and outline actionable recommendations for improvement. By deconstructing web analytic categories such as engagement, users, acquisition, content, and platform, we describe how web analytics are used to evaluate websites and how improvements can be made using this information. Engagement is how a user interacts with a website. It can be evaluated using the daily active users to monthly active users (DAU/MAU) ratio, bounce rate, pages viewed, and time on site. Poor engagement indicates potential problems with website usability. Users pertains to demographic information regarding the users interacting with a website. This data can help administrators understand who is engaging with their website. Acquisition refers to the overall website traffic and the method of traffic, which allows administrators to see how people are accessing their website. This information helps websites expand their methods of attracting users. Content refers to the overall relevancy, accuracy, and trustworthiness of a website’s content. If a website has poor content, it will likely experience difficulty with user engagement. Finally, platform refers to the technical aspects of how people access a website. It includes both the internet browsers and devices used. By providing detailed descriptions of these categories, we have identified how web administrators can use web analytics to systematically assess their websites. We have also provided generalized recommendations for actionable improvements. By introducing the potential of web analytics to augment usability and the conversion rate, we hope to assist health care organizations in better communicating with the public and therefore accomplishing the goals of their websites.
A Machine Learning Approach to Predict the Outcome of Urinary Calculi Treatment Using Shock Wave Lithotripsy: Model Development and Validation Study
Authors: Moghisi Reihaneh , El Morr Christo , Pace Kenneth T , Hajiha Mohammad , Huang Jimmy
Published: March 2022

Background

Shock wave lithotripsy (SWL), ureteroscopy, and percutaneous nephrolithotomy are established treatments for renal stones. Historically, SWL has been a predominant and commonly used procedure for treating upper tract renal stones smaller than 20 mm in diameter due to its noninvasive nature. However, the reported failure rate of SWL after one treatment session ranges from 30% to 89%. The failure rate can be reduced by identifying candidates likely to benefit from SWL and manage patients who are likely to fail SWL with other treatment modalities. This would enhance and optimize treatment results for SWL candidates.

Objective

We proposed to develop a machine learning model that can predict SWL outcomes to assist practitioners in the decision-making process when considering patients for stone treatment.

Methods

A data set including 58,349 SWL procedures performed during 31,569 patient visits for SWL to a single hospital between 1990 and 2016 was used to construct and validate the predictive model. The AdaBoost algorithm was applied to a data set with 17 predictive attributes related to patient demographics and stone characteristics, with success or failure as an outcome. The AdaBoost algorithm was also applied to a training data set. The generated model’s performance was compared to that of 5 other machine learning algorithms, namely C4.5 decision tree, naïve Bayes, Bayesian network, K-nearest neighbors, and multilayer perceptron.

Results

The developed model was validated with a testing data set and performed significantly better than the models generated by the other 5 predictive algorithms. The sensitivity and specificity of the model were 0.875 and 0.653, respectively, while its positive predictive value was 0.7159 and negative predictive value was 0.839. The C-statistics of the receiver operating characteristic (ROC) analysis was 0.843, which reflects an excellent test.

Conclusions

 We have developed a rigorous machine learning model to assist physicians and decision-makers to choose patients with renal stones who are most likely to have successful SWL treatment based on their demographics and stone characteristics. The proposed machine learning model can assist physicians and decision-makers in planning for SWL treatment and allow for more effective use of limited health care resources and improve patient prognoses.
Patients’ Experiences of Using an eHealth Pain Management Intervention Combined With Psychomotor Physiotherapy: Qualitative Study
Authors: Eiken Anne-Grethe , Nordanger Dag Ø , Solberg Nes Lise , Varsi Cecilie
Published: March 2022

Background

Chronic pain is a major health challenge to those affected. Blended care with psychomotor physiotherapy (PMP) combined with eHealth self-management might be beneficial.

Objective

This study aims to explore how patients with chronic pain experience the combination of PMP and the use of EPIO, an eHealth self-management intervention for chronic pain.

Methods

Individual semistructured interviews were conducted with 5 adult patients with chronic pain (ie, participants) who used EPIO in combination with PMP over a period of 10 to 15 weeks. Interviews explored participants’ experiences using this treatment combination in relation to their pain and analyzed their experiences using systematic text condensation.

Results

Participants described having benefited from using EPIO in combination with PMP in terms of increased awareness of bodily signals and how pain was related to stress and activity. They also described changes in the relationship to themselves in terms of increased self-acceptance, self-assertion, and hope and their relationship to their pain in terms of seeing pain as less harmful and engaging in more active coping strategies.

Conclusions

Results indicate that a blended care approach combining eHealth self-management interventions such as EPIO with PMP may be of value to patients living with chronic pain.

Trial Registration

ClinicalTrials.gov NCT03705104; https://clinicaltrials.gov/ct2/show/NCT03705104
Assessing the Availability of Teleconsultation and the Extent of Its Use in Malaysian Public Primary Care Clinics: Cross-sectional Study
Authors: Ng Sock Wen , Hwong Wen Yea , Husin Masliyana , Ab Rahman Norazida , Nasir Nazrila Hairizan , Juval Kawselyah , Sivasampu Sheamini
Published: March 2022

Background

The integration of teleconsultation into health care systems as a complement to existing approaches to care is growing rapidly. There is, however, limited information on the extent of its implementation across low- and middle-income countries.

Objective

The aim of this study was to determine the availability and the extent of teleconsultation in Malaysian primary care clinics.

Methods

A cross-sectional study of public primary care clinics in Malaysia was conducted between November 2020 and December 2020. All clinics in Malaysia that see more than 300 daily patients were recruited. A web-based, self-administered questionnaire including questions on availability of the service, whether it uses video or telephone, and the types of services it provides was distributed to the medical officer in charge of each clinic.

Results

In total, 97.6% (249/255) of the clinics responded. Out of these clinics, 45.8% (114/249) provided teleconsultation. A majority of the clinics providing consultation (69/114, 60.5%) provided only telephone consultation, while 24.6% (28/114) of the clinics offered video and telephone consultation, and 14.9% (17/114) offered only video consultation. Eighty percent (92/114) of the clinics were located in urban areas. A breakdown by state showed that 17.5% (20/114) and 16.7% (19/114) of the clinics were from two larger states; other states comprised less than 10% each (range 7-9/114). For the clinics providing video consultation, funding for the service came mostly (42/45, 93%) from the Ministry of Health. Conversely, nearly 1 out of 4 (23/97) clinics that provided telephone consultation funded the service either from donations or through self-funding. Most of the clinics provided teleconsultation for diabetes and hypertension. Less than 50% of the clinics with teleconsultation used it for follow up with allied health care providers or pharmacists (video consultation, 20/45; telephone consultation, 36/97).

Conclusions

Our findings show that telephone consultation is more widely used than video consultation, despite a quarter of its funding being self-subsidized or obtained through donations. Also, teleconsultation was less utilized by allied health care providers and pharmacists. Plans for the expansion of teleconsultation in Malaysian primary health care should take into consideration these findings to ensure a better and more cost-effective implementation of the service.
Access to and Use of Mobile Phone by Postpartum, Married Women in Punjab, India: Secondary Analysis of mHealth Intervention Pilot Data
Authors: Pendse Ruchita S , El Ayadi Alison M , Sharma Preetika , Ahuja Alka , Hosapatna Basavarajappa Darshan , Duggal Mona , Kankaria Ankita , Singh Pushpendra , Kumar Vijay , Bagga Rashmi , Diamond-Smith Nadia G
Published: March 2022

Background

As mobile phone uptake in India continues to grow, there is also continued interest in mobile platform–based interventions for health education. There is a significant gender gap in mobile phone access—women’s access to mobile phones is constrained by economic and social barriers. Pregnancy and postpartum care is one of many targets for mobile health (mHealth) interventions that particularly rely upon women’s access to and facility with mobile phone use.

Objective

We aimed to describe the dynamics and patterns of married pregnant and postpartum women’s mobile phone access and use (among both phone owners and nonowners) who participated in an mHealth postpartum care intervention and to identify potential barriers to their participation in mobile platform–based interventions.

Methods

A secondary analysis was performed on mixed methods data obtained for a pilot mHealth intervention for postpartum care of mothers in rural Punjab from July 2020 to February 2021. Two formative sources included exploratory in-depth interviews among postpartum women (n=20; 1-3 months postpartum) and quantitative maternal health survey among women who were pregnant or who had recently given birth (n=102). We also utilized mixed methods intervention assessment data from early postpartum women who participated in the pilot intervention (n=29), including intervention moderator perspectives. Qualitative and quantitative analyses were performed, and pertinent findings were grouped thematically.

Results

The majority of women owned a phone (maternal health survey: 75/102, 74%; demographic survey: 17/29, 59%), though approximately half (53/102, 52%) still reported sharing phones with other family members. Sharing a phone with female family members typically allowed for better access than sharing with male family members. Some households had strict preferences against daughters-in-law having phones, or otherwise significantly restricted women’s phone access. Others reported concerns about phone use–related health hazards for mother and infant during the pregnancy or postpartum period.

Conclusions

These findings suggest nuance regarding what is meant by women’s phone ownership and access—there were numerous additional constraints on women’s use of phones, particularly during pregnancy and the postpartum period. Future research and mHealth interventions should probe these domains to better understand the dynamics governing women’s access, use, and fluency with mobile phones to optimally design mHealth interventions.
The Effects of Using the Sun Safe App on Sun Health Knowledge and Behaviors of Young Teenagers: Results of Pilot Intervention Studies
Authors: Clare Isabelle M , Gamage Nisali , Alvares Gail A , Black Lucinda J , Francis Jacinta , Jaimangal Mohinder , Lucas Robyn M , Strickland Mark , White James , Nguyen Rebecca , Gorman Shelley
Published: March 2022

Background

A balanced approach toward sun exposure and protection is needed by young people. Excessive sun exposure increases their risk for skin cancers such as melanoma, whereas some exposure is necessary for vitamin D and healthy bones. We have developed a new iOS smartphone app—Sun Safe—through a co-design process, which aims to support healthy and balanced decision-making by young teenagers (aged 12-13 years).

Objective

The aim of this study was to test the capacity of Sun Safe to improve sun health knowledge and behaviors of young teenagers in 3 pilot intervention studies completed in 2020.

Methods

Young teenagers (aged 12-13 years; N=57) were recruited through the web or through a local school via an open-access website and given access to Sun Safe (29/57, 51%) or a placebo (SunDial) app (28/57, 49%). Participants completed sun health questionnaires and knowledge quizzes before and after the 6-week intervention (either on the web or in class) and rated the quality of the app they used via a survey.

Results

Of the 57 participants, 51 (89%) participants (26, 51% for placebo arm and 25, 49% for the Sun Safe arm) completed these studies, with most (>50%) reporting that they used a smartphone to access their designated app either “once a fortnight” or “once/twice in total.” Improved sun health knowledge—particularly about the UV Index—was observed in participants who were given access to Sun Safe compared with those who used the placebo (−6.2 [percentage correct] difference in predicted means, 95% CI –12.4 to –0.03; P=.049; 2-way ANOVA). Unexpectedly, there were significantly more sunburn events in the Sun Safe group (relative risk 1.7, 95% CI 1.1-1.8; P=.02; Fisher exact test), although no differences in time spent outdoors or sun-protective behaviors were reported. COVID-19 pandemic–related community-wide shutdowns during April 2020 (when schools were closed) reduced the time spent outdoors by >100 minutes per day (–105 minutes per day difference in predicted means, 95% CI –150 to –59 minutes per day; P=.002; paired 2-tailed Student t test). Sun Safe was well-rated by participants, particularly for information (mean 4.2, SD 0.6 out of 5).

Conclusions

Access to the Sun Safe app increased sun health knowledge among young teenagers in these pilot intervention studies. Further investigations with larger sample sizes are required to confirm these observations and further test the effects of Sun Safe on sun-protective behaviors.
Barriers to and Facilitators for Acceptance of Comprehensive Clinical Decision Support System–Driven Care Maps for Patients With Thoracic Trauma: Interview Study Among Health Care Providers and Nurses (Preprint)
Authors: Jones Emma K , Banks Alyssa , Melton Genevieve B , Porta Carolyn M , Tignanelli Christopher J
Published: March 2022

BACKGROUND

Comprehensive clinical decision support (CDS) care maps can improve the delivery of care and clinical outcomes. However, they are frequently plagued by usability problems and poor user acceptance.

OBJECTIVE

This study aims to characterize factors influencing successful design and use of comprehensive CDS care maps and identify themes associated with end-user acceptance of a thoracic trauma CDS care map earlier in the process than has traditionally been done. This was a planned adaptive redesign stage of a User Acceptance and System Adaptation Design development and implementation strategy for a CDS care map. This stage was based on a previously developed prototype CDS care map guided by the Unified Theory of Acceptance and Use of Technology.

METHODS

A total of 22 multidisciplinary end users (physicians, advanced practice providers, and nurses) were identified and recruited using snowball sampling. Qualitative interviews were conducted, audio-recorded, and transcribed verbatim. Generation of prespecified codes and the interview guide was informed by the Unified Theory of Acceptance and Use of Technology constructs and investigative team experience. Interviews were blinded and double-coded. Thematic analysis of interview scripts was conducted and yielded descriptive themes about factors influencing the construction and potential use of an acceptable CDS care map.

RESULTS

A total of eight dominant themes were identified: alert fatigue (theme 1), automation (theme 2), redundancy (theme 3), minimalistic design (theme 4), evidence based (theme 5), prevent errors (theme 6), comprehensive across the spectrum of disease (theme 7), and malleability (theme 8). Themes 1 to 4 addressed factors directly affecting end users, and themes 5 to 8 addressed factors affecting patient outcomes. More experienced providers prioritized a system that is easy to use. Nurses prioritized a system that incorporated evidence into decision support. Clinicians across specialties, roles, and ages agreed that the amount of extra work generated should be minimal and that the system should help them administer optimal care efficiently.

CONCLUSIONS

End user feedback reinforces attention toward factors that improve the acceptance and use of a CDS care map for patients with thoracic trauma. Common themes focused on system complexity, the ability of the system to fit different populations and settings, and optimal care provision. Identifying these factors early in the development and implementation process may facilitate user-centered design and improve adoption.
A Machine Learning Approach to Predict the Outcome of Urinary Calculi Treatment Using Shock Wave Lithotripsy: Model Development and Validation Study (Preprint)
Authors: Moghisi Reihaneh , El Morr Christo , Pace Kenneth T , Hajiha Mohammad , Huang Jimmy
Published: March 2022

BACKGROUND

Shock wave lithotripsy (SWL), ureteroscopy, and percutaneous nephrolithotomy are established treatments for renal stones. Historically, SWL has been a predominant and commonly used procedure for treating upper tract renal stones smaller than 20 mm in diameter due to its noninvasive nature. However, the reported failure rate of SWL after one treatment session ranges from 30% to 89%. The failure rate can be reduced by identifying candidates likely to benefit from SWL and manage patients who are likely to fail SWL with other treatment modalities. This would enhance and optimize treatment results for SWL candidates.

OBJECTIVE

We proposed to develop a machine learning model that can predict SWL outcomes to assist practitioners in the decision-making process when considering patients for stone treatment.

METHODS

A data set including 58,349 SWL procedures performed during 31,569 patient visits for SWL to a single hospital between 1990 and 2016 was used to construct and validate the predictive model. The AdaBoost algorithm was applied to a data set with 17 predictive attributes related to patient demographics and stone characteristics, with success or failure as an outcome. The AdaBoost algorithm was also applied to a training data set. The generated model’s performance was compared to that of 5 other machine learning algorithms, namely C4.5 decision tree, naïve Bayes, Bayesian network, K-nearest neighbors, and multilayer perceptron.

RESULTS

The developed model was validated with a testing data set and performed significantly better than the models generated by the other 5 predictive algorithms. The sensitivity and specificity of the model were 0.875 and 0.653, respectively, while its positive predictive value was 0.7159 and negative predictive value was 0.839. The C-statistics of the receiver operating characteristic (ROC) analysis was 0.843, which reflects an excellent test.

CONCLUSIONS

 We have developed a rigorous machine learning model to assist physicians and decision-makers to choose patients with renal stones who are most likely to have successful SWL treatment based on their demographics and stone characteristics. The proposed machine learning model can assist physicians and decision-makers in planning for SWL treatment and allow for more effective use of limited health care resources and improve patient prognoses.
Virtual Reality in Clinical Practice and Research: Viewpoint on Novel Applications for Nursing (Preprint)
Authors: Son Hyojin , Ross Alyson , Mendoza-Tirado Elizabeth , Lee Lena Jumin
Published: March 2022

UNSTRUCTURED

Virtual reality is a novel technology that provides users with an immersive experience in 3D virtual environments. The use of virtual reality is expanding in the medical and nursing settings to support treatment and promote wellness. Nursing has primarily used virtual reality for nursing education, but nurses might incorporate this technology into clinical practice to enhance treatment experience of patients and caregivers. Thus, it is important for nurses to understand what virtual reality and its features are, how this technology has been used in the health care field, and what future efforts are needed in practice and research for this technology to benefit nursing. In this article, we provide a brief orientation to virtual reality, describe the current application of this technology in multiple clinical scenarios, and present implications for future clinical practice and research in nursing.
Validation of a system for the acquisition and analysis of heart rate variability in real time (Preprint)
Authors: Bohorquez Vargas Daniel Felipe , Leon Ariza Henry Humberto , Agudelo-Otalora Luis Mauricio , Botero Rosas Daniel Alfonso , Moscoso Barrera William Daniel
Published: March 2022

BACKGROUND

Heart rate variability (HRV) is defined as the temporal variation between heartbeats or RR intervals (distance between R waves in an electrocardiographic signal). These variations are currently a recognized biomarker of physiological stress. With the analysis of HRV, the autonomic nervous system can be assessed through its impact on the activity of the heart. For the acquisition and analysis of HRV, electronic equipment and analysis software that work independently are currently used, which limits their use in the clinical context.

OBJECTIVE

In this article, the validation process of a single portable device (Herons HRV) capable of acquiring electrocardiographic signals and calculating a total of 19 HRV metrics is presented. With this, the processing time for health professionals is reduced. The protocol designed for the validation of the device aims to determine the capability of the device to replace the existing analysis software.

METHODS

The study was conducted under controlled conditions in the simulation hospital of the University of La Sabana, Colombia, with a total of 60 volunteers. The acquired signals and metrics calculated by the designed device were compared with those by the reference system “Kubios HRV”.

RESULTS

The results show a strong level of correlation (r > 0.95, P < .05) between the 19 metrics compared. Additionally, the Bland–Altman graphical analysis indicates a high concordance between the metrics studied. There is also an average difference close to 0 in each of the graphs. Additionally, 100% of the calculated differences are within the limits of agreement.

CONCLUSIONS

Results implies that the device can be used to acquire and to analyze electrocardiographic signals in a single system. The use of the proposed portable system in clinical scenarios controlled by medical specialists and researchers is recommended for the evaluation of the autonomic nervous system.
Cultural and Digital Health Literacy of App and Web Based Systems Designed for Pregnant Women with Gestational Diabetes Mellitus: A Scoping Review (Preprint)
Authors: Birati Yosefa , Yefet Enav , Perlitz Yuri , Shehadeh Naim , Spitzer-Shohat Sivan
Published: March 2022

BACKGROUND

The prevalence of women diagnosed with gestational diabetes mellitus (GDM) is increasing dramatically. Mobile technologies to enhance patient’s self-management offer many advantages for women diagnosed with GDM. However, to our knowledge while mHealth and telemedicine systems for GDM management exist, the evidence on their cultural appropriateness and digital health literacy levels is limited.

OBJECTIVE

The aim of our review was to search the literature on mobile health (mHealth) and telemedicine systems designed for women diagnosed with GDM and assess for cultural appropriateness and digital health literacy as well as systems’ effectiveness in improving glycemic control, and maternal and infant outcomes.

METHODS

We conducted a scoping review using the framework adapted from Arksey and O’Malley. Four electronic databases were searched between January 2010 and January 2022. We used terms related to mobile apps and telemedicine, GDM, vulnerable populations, periphery, cultural appropriateness, and digital health literacy. Studies were screened and selected independently by two authors. We extracted the studies data on an Excel charting table
and categorized it for final themes.

RESULTS

We identified 17 studies that reported on twelve telemedicine and mHealth apps interventions. We assessed the studies in 3 domains (1) cultural appropriateness (2) digital health literacy and (3) maternal and infant outcomes. Considerations in app design regarding cultural appropriateness were found only in two studies and only three interventions scored 3 or above out of a score of 5 in our assessment of digital health literacy.

CONCLUSIONS

mHealth and telemedicine can be an effective platform to improve clinical management of women with GDM. Although studies published on the use of mHealth and telemedicine systems exist, there is limited body of knowledge on the digital health literacy and cultural appropriateness of the systems designed for women diagnosed with GDM. Further research is needed to evaluate the effectiveness of tailored apps for enhancing pregnant women’s self-management as well as their effectiveness in improving maternal and infants’ health outcomes.

CLINICALTRIAL

None
From the Cochrane Library: Interventions for Cellulitis and Erysipelas (Preprint)
Authors: Oganesyan Ani , Sivesind Torunn , Robert Dellavalle Robert
Published: March 2022

UNSTRUCTURED

Not applicable
Digital phenotyping data to predict symptom improvement and app personalization: Protocol for a prospective study (Preprint)
Authors: Currey Danielle , Torous John
Published: March 2022

UNSTRUCTURED

Smartphone apps offering surveys and access to sensors are increasingly leveraged to collect data to provide insight into clinical conditions. As the mental health crisis in college students continues, apps provide a practical tool for students. Yet, uptake and engagement have remained limited. In this protocol, we present a study design to explore engagement with mental health apps in college students through the Technology Acceptance Model (TAM) as a theoretical framework. There are two main goals of this study. First, we present a logistic regression model fit on data from a prior study on college students prospectively test this model on a new student cohort. Second, we will provide users with data-driven activity suggestions every 4 days to determine whether this type of personalization will increase engagement or attitudes towards the app. This is one of the first digital phenotyping algorithms to be prospectively validated. Overall, our results will inform on the potential of digital phenotyping data to serve as tailoring data in adaptive interventions and to increase rates of engagement.
Improving Satisfaction and Loyalty of Online Shop Customer Based on E-Commerce Innovation and E-Service Quality
Authors: Rahman Sarli , Fadrul Fadrul , Momin Mujtaba M , Yusrizal Yusrizal , Marlyn Robert
Published: March 2022

The purpose of this study is to develop new knowledge related to innovation in e-commerce, which we call e-commerce innovation, and how its impact on customer satisfaction and loyalty, together with e-service quality, in the context of an online shop in Indonesia. Several measurement items of e-commerce innovation were adopted and modified from the existing literature. To answer how the impact on customer satisfaction and loyalty, then used partial least squares structural equation modeling to analyze data from 400 respondents. Empirical test results found that e-commerce innovation and e-service quality can each increase customer satisfaction and loyalty. It is also known that in the context of online shop customers in Indonesia, its easier to create customer satisfaction than customer loyalty.
Analisis Biaya dan Luaran Klinis Sindrom Koroner Akut Berbasis Clinical Pathway
Authors: Candradewi Susan Fitria , Perwitasari Dyah Aryani , Nabilah Nabilah
Published: March 2022

Health clinicians often show different variations in the choice of therapy they prescribe for patients depending on their expertise, knowledge, and even their art. This is likely to affect several things, including the cost that patients have to pay. Such a difference in costs is avoidable by applying scientific evidence-based medical service standards and having measurable outcomes known as Clinical Pathways. A clinical pathway serves as a tool to measure the quality of health services based on the standardization of the treatment process. This research was designed to determine the cost analysis of treatments received by patients with acute coronary syndrome (ACS) according to the clinical pathway. This non-experimental research employed a retrospective cohort study design. The data were gathered from the medical records of ACS patients who were treated at the ICCU of PKU Muhammadiyah Hospital in Yogyakarta, and the costs incurred were compared between treatments that matched and did not match the clinical pathways. The inclusion criteria were ACS patients treated during 2016 who were between ≥ 18 and <75 years old and had complete data. Meanwhile, the exclusion criteria were ACS patients who had incomplete data, tumor malignancy, and a creatinine level of > 3 mg/dL. Here, therapies given to patients are concluded to fit the clinical pathway if they are precisely the same (100%) as the Clinical Practice Guide used by this hospital. The clinical outcome was measured from the patient’s length of stay (LOS). During the data analysis, the costs of ACS patient treatments that were compliant and non-compliant with the clinical pathway were compared based on the level of severity using the Mann-Whitney test in the SPSS program. The results showed that of the 63 patients, 31 received treatments according to the clinical pathway, while the other 32 did not. The average LOS of the former and the latter were, respectively, 4.45 and 5.53 (p= 0.043), with the total costs of treatments up to IDR5,474,001,73 and IDR6,728,153.13 (p= 0,154). Conformity to a clinical pathway significantly influences the length of stay but does not affect the cost of care for acute coronary syndrome patients.
Implementasi Standar Pelayanan Kefarmasian di Apotek Kupang
Authors: Parera Maria Meliana Waty , Kristina Susi Ari , Yasin Nanang Munif
Published: March 2022

According to applicable standards, pharmaceutical services strongly support the role of pharmacists in realizing quality pharmaceutical services to protect patients and the community and provide legal certainty for pharmaceutical personnel. This study aims to evaluate the implementation of pharmaceutical service standards in pharmacies by pharmacists in Kupang City. This study uses a quantitative descriptive approach. Data were collected using a questionnaire adapted from Regulation of the Minister of Health Number 73 of 2016 concerning Pharmaceutical Service Standards in Pharmacies. The population in this study were all pharmacies in Kupang City, totaling 90 pharmacies based on data from the Health Service, with valid pharmacy permits. Respondents are pharmacists who have a valid practice license in pharmacies and are willing to participate in the survey. A total of 66 respondents returned the questionnaire, and 64 were declared complete and qualified for analysis. Data were analyzed using univariate analysis with SSPS 25. The results showed that 53.75% of pharmacies in Kupang City had implemented pharmaceutical service standards in pharmacies by Regulation of the Minister of Health Number 73 of 2016, while 46.25% have not implemented service standards properly. Pharmacies that manage pharmaceutical preparations, medical equipment, and disposable medical equipment (BMHP) according to standards are 66.1%, and clinical pharmacy services are 41.4%. The conclusion shows that pharmaceutical service standards in pharmacies have not been carried out optimally by pharmacists in Kupang City.
Pengaruh Intervensi Apoteker terhadap Tingkat Bahaya Drug-Related Problems pada Pasien Geriatrik Rawat Inap
Authors: Setiawati Margarita Krishna , Yasin Nanang Munif , Pramantara I Dewa Putu
Published: March 2022

Geriatric patients are at high risk of Drug-Related Problems (DRPs) associated with multimorbidity, physiologic changes, and pharmacologic alterations, that caused by the aging process. The pharmacist plays an important role in optimizing the effectiveness and safety of the patient’s drug therapies. This study aims to know the effect of pharmacist intervention in reducing the harmful levels of DRPs and to know the factors associated with the reduction of DRPs harm level in hospitalized geriatric patients. This research uses quasi-experimental study with a one-group pretest and posttest design. This research was conducted in Panti Rapih Hospital between March-April 2021, with patients’ inclusion criteria of ≥ 60 years old, with internal diseases cases, and identified DRPs in the therapy. The exclusion patient criteria are hospitalized in the intensive unit and Covid-19 ward. A pharmacist reviewed patient drug therapy, identified and solved DRPs. The harm level of DRPs was compared before and after pharmacist interventions. The harm level of DRPs was determined through professional adjustment according to The Harm Associated with Medication Error Classification tools, then analyzed using Wilcoxon test with a level of confidence 95%. Factors of age, the number of drugs received by the patient, comorbidities, and acceptance of the intervention were investigated for their effect on reducing the harm level of DRPs using a multivariate logistic regression test. A total of the research subject were 28 inpatients, with 47 DRPs identified. The most frequent DRPs were adverse drug reactions  (27,66%). Among all interventions, 77,36% of them were accepted with full implementation. The pharmacist intervention resulted in a significant reduction in the harm level of both potential and actual DRPs (p < 0,05). A factor of the number of drugs received by patients and acceptance of pharmacist intervention was associated with the reduction of the harm level of DRPs (p < 0,05). This study shows that multidisciplinary collaboration is needed in the care of geriatric patients.
Flavonoid Compounds of Buah Merah (Pandanus conoideus Lamk) as a Potent Oxidative Stress Modulator in ROS-induced Cancer: In Silico Approach
Authors: Umar Abd. Kakhar , Kelutur Faruk Jayanto , Zothantluanga James H.
Published: March 2022

Buah Merah, a typical fruit from Papua, Indonesia which is used empirically in cancer therapy is rich in carotenoids and flavonoids. However, the mechanisms by which Buah Merah ameliorates cancer remained unknown. Natural antioxidant enzymes and pro-oxidant enzymes modulation significantly suppressed ROS production and cancer growth. Therefore, the determination of target enzymes of Buah Merah contents was studied through an in silico approach. Carotenoid and flavonoid compounds from Buah Merah were docked to 7 ROS modulating enzymes using Autodock Vina and the interaction stability was studied using the CABS Flex 2.0 server. The crucial amino acids of each enzyme were determined using DockFlin and prediction of acute oral toxicity of each test ligand was studied using ProTox-II. Based on the molecular docking results, quercetin 3'-glucoside is the most potent compound in binding to CAT, GR, GPx, SOD, LOX, and NOX with binding energy values of -11.2, -9.7, -8.6, -10.2, -10.7, and -12.8 kcal/mol, respectively. Meanwhile, taxifolin 3-O-α-arabinopyranose produced the highest binding affinity of -10.0 kcal/mol at the XO. Each test ligand formed stable interactions with ROS modulating enzymes and formed bonds with crucial amino acids resulting in strong adhesion compared to native and reference ligands. The glucoside group of quercetin 3'-glucoside plays an essential role in determining the proper position in the attachment and supports the formation of hydrogen bonds with receptors. With low acute oral toxicity, it can be concluded that quercetin 3'-glucoside from Buah Merah is a potent oxidative stress modulator in cancer prevention and therapy.
TYPES OF SUPPORT GIFTED STUDENTS RECEIVE IN SCHOOL
Authors: Jovanovic Marija M , Vukić Tamara M
Published: March 2022

This paper is oriented towards the attitudes of the teachers and the gifted student parents on types of support gifted students receive in school in addition to extra classes, as well as towards parents’ attitudes on acceleration and special programs as forms of support for gifted students. Consequently, the goal of this paper is to find out: (1) teachers’ attitudes on types of support gifted students receive in school in addition to extra classes; (2) parents’ attitudes on types of support gifted students receive in school in addition to extra classes; (3) parents’ views on acceleration and special programs for the gifted students. The research involved 104 teachers and 30 parents of gifted students from multiple elementary and middle schools situated in Niš and Knjaževac. The instrument used to collect teachers’ attitudes is a mixed questionnaire, whereas the gifted student parents’ opinions and attitudes have been collected through the leading structured interview. Thus, the quantity data processing is based on the descriptive statistics, while the quality data, given in the narrative form, has been processed through the thematic content analysis, with the coding of key ideas into groups (units) with a common meaning. The findings of this research have shown that besides extra classes, schools organize other activities as well in order to encourage and stimulate giftedness in students, and the most common forms of support to the gifted students are: participation in contests and competitions, being part of extra classes and project groups, participation in cultural and social events, and rewarding. This study has also found that parents support the acceleration and special programs for gifted students, with a slight concern about separating a child from his/her peers.
THE MOST IMPORTANT MOTIVATION FACTORS FOR KNOWLEDGE ACQUISITION AND SUCCESSFUL LEARNING
Authors: Cenic Dragan , Petrović Jelena , Cenić Stojan
Published: March 2022

Learning is a continuous and progressive process which brings changes in the students. During this process, children with different personality respond differently to certain situations, so it is absolutely clear that internal factors drive individuals to act. These internal factors are called motives. This paper is an attempt to discuss some of the important aspects of how motivation affects successful learning, and answer the following questions: why is motivation a key factor in the teaching process, how does the social environment affect motivation, does grading motivate learning, and how does reinforcement affect successful learning? Along with a review of relevant scientific papers which have studied motivation as a factor affecting the teaching and education process, we will discuss various aspects of motivation, the importance of teaching material as a motivational tool and social factors and their effect on students’ motivation to learn. It is very important to focus on students’ intrinsic motivation during the process of knowledge acquisition and successful learning. Intrinsic motivation does not act independently, it is combined with other factors which allow individuals to acquire knowledge, and teacher motivation can be an important ally in achieving this goal.
THE INFLUENCE OF PHONETIC GYMNASTICS ON THE DEVELOPMENT OF FINE MOTOR SKILLS OF PRESCHOOL CHILDREN
Authors: Aleksić Veljković Aleksandra , Stanković Slađana , Božić Danijel
Published: March 2022

The development of fine motor skills of preschool children is extremely important, because this ability refers to the coordination of small muscle groups of the hands, which are used in performing tasks such as writing, coloring and cutting. The aim of this research is to determine the influence of phonetic gymnastics program on the development of fine motor skills of preschool children. The research was conducted on a sample of 30 respondents, children attending a younger educational group. The experimental program consisted of a phonetic gymnastics activities which consisted of three parts: introductory, main and final part of the activity, and was conducted for 12 weeks. The introductory part of the activity lasted for about five minutes and a complex of shaping exercises was conducted in it, followed by speaking exercises, e.g. imitating the blowing wind (whizz), the flying bee (buzz) and others. The main part of the activity lasted for 20 minutes, and in this part, various moving and speaking games and songs were used, in order to stimulate children's interest. For the purpose of this research, two subtests from the battery of BOT2 tests (Bruinkins – Oseretsky Test of Motor Proficiency, Second Edition) were applied: fine motor integration and manual dexterity. The obtained results confirmed the positive influence of programmed phonetic gymnastics on the fine motor skills of preschool children. The implementation of this type of treatment in preschool institutions would be of great benefit, especially because it is relatively short (about 30 minutes) and does not require special equipment and space.
Influence of profitability on firm value: Data from transportation sector
Authors: Supitriyani Supitriyani , Astuti Astuti , Azwar Khairul
Published: March 2022

This study aimed to analyze and test the effect of stock returns, activity, profitability, and liquidity on firm value. We are using a sample of 14 companies obtained through the purposive sampling method on the transportation sub-sector companies listed on the Indonesia Stock Exchange. The results of this study indicate that stock returns, activity, profitability, and liquidity have a significant effect on firm value simultaneously. Partially, stock returns and profitability have a significant positive impact; activity has no significant positive impact, and liquidity has a significant negative effect on firm value.
PENERAPAN METODE DEMPSTER SHAFER DALAM MENENTUKAN LOKASI PEMILIHAN TEMPAT PENANAMAN BIBIT TOMAT PADA DAERAH KECAMATAN LINTONG NI HUTA
Authors: Batubara Rini Oktari , Zarlis Muhammad , Wanayumini Wanayumini
Published: March 2022

Buah Tomat merupakan tanaman asli dari daerah Amerika Tengah dan Selatan. Tanaman ini idealnya ditanam pada kisaran suhu 20-27 derajat celcius dengan curah hujan sekitar 750-1250 mg Pertahun. Secara umum tomat dapat tumbuh dengan baik pada ketinggian 0-1500 m dpl. Ada varietas yang hanya cocok didataran tinggi, dataran rendah, ada juga bisa didataran tinggi maupun rendah.Tumbuhan ini juga memiliki beragam warna ada berwarna hijau, kuning dan merah yang biasa dipakai sebagai sayur dalam masakan atau dimakan secara langsung tanpa diproses. Untuk membantu mempercepat dan mempermudah proses pengambilan keputusan dalam hal menjaga kualitas pemilihan tempat lokasi penanaman buah tomat pada daerah Lintong Nihuta, peneliti menggunakan algoritma Dempster Shafer.
Sistem Informasi Pencarian dan Pemesanan Kost dengan Metode Simple Additive Weighting (SAW)
Authors: Tarigan Rehulina , Daniyati Nurul , Usri Andi
Published: March 2022

Banyak penyewaan tempat kost di kota Serang tidak menyediakan informasi yang cukup bagi para pencari kost sehingga para pencari kost kesulitan untuk mendapatkan tempat kost yang sesuai dengan keinginannya. Selain itu informasi lain seperti fasilitas, harga dan jumlah kamar kost yang tersedia tidak diketahui. Hal ini menyebabkan para pencari kost harus mendatangi satu persatu tempat kost untuk menemukan tempat kost yang sesuai dengan keinginannya. Dengan demikian para pencari kost kesulitan mendapatkan tempat kost yang sesuai dengan cepat dan sesuai dengan keinginannya. Berdasarkan permasalahan di atas, akan dirancang sebuah sistem informasi pencarian dan pemesanan kost berbasis website dengan menggunakan metode Simple Additive Weighting (SAW) untuk membantu para pencari kost menemukan tempat kost yang sesuai dengan keinginannya. Metode SAW ini membantu para pencari kost untuk memutuskan kost mana yang akan dia pilih dari sejumlah kost yang tersedia di sistem. Pengembangan sistem yang digunakan adalah Metode Waterfall atau Linier Sequential Model yang memiliki beberapa tahapan, yaitu requirement analysis, system design, coding, testing, dan implementation. Pemodelan proses bisnis menggunakan usecase pada Unified Modeling Language (UML). Hasil dari penelitian ini adalah dapat digunakan untuk membantu para pencari kost menemukan tempat kost yang sesuai dengan kriteria yang mereka inginkan.