bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanism of Actions, Efficacy, and Long-term Use of Steroids in Autoimmune Hemolytic Anemia (AIHA)
Authors: Yulistiani Yulistiani , Dwiyatna Surya , Utomo Febriansyah Nur
Published: November 2023

Autoimmune hemolytic anemia (AIHA) is a rare condition in which autoantibodies cause the loss of red blood cells. Steroids have been used to treat several illnesses, including AIHA. For now, steroids remain as the first line of treatment for AIHA. In AIHA, especially warm AIHA (wAIHA), steroids suppress autoantibody production and downregulate Fcγ receptors' expression on monocytes to prevent hemolysis. The type of steroids chosen for first-line therapy for wAIHA in pediatrics and adults are Prednisone (Prednisolone) and Methylprednisolone. At the same time, Dexamethasone is used as an alternative treatment in AIHA. Steroids show better therapeutic outcomes in the first 2-3 weeks of administration, but the proportion of patients who remain in remission after steroid discontinuation are still quite low. Long-term administration of steroids may affect bone, blood glucose metabolism, and hypothalamic-pituitary-adrenal axis (HPAA). However, steroids which have a linear pharmacokinetic profile, intermediate-acting glucocorticoids such as Prednisone (Prednisolone) or Methylprednisolone, and also tapering dose of steroids after 2-4 weeks administration will be safe for long term use as AIHA treatment.Keywords: steroids, glucocorticoid, corticosteroid, autoimmune hemolytic anemia, AIHA, mechanism of action, efficacy
Genotype AA of ACE2 G8790A (rs2285666) Has Protective Potential Against COVID-19 Disease Severity
Authors: Chukkayapalli Sowmya Gayatri , Suravaram Swati , Reddy Bharat Kumar , Siddiqui Imran Ahmed
Published: November 2023

Background: SARS-CoV-2 virus uses angiotensin converting enzyme 2 (ACE2), a key enzyme of the renin angiotensin system (RAS) as the functional receptor for cell fusion and induction of infections in the respiratory system. Functional ACE2 gene polymorphisms may lead to RAS imbalance and are associated with COVID-19 susceptibility and severity. ACE2 G8790A (rs2285666), a splice region variant, is well characterized in various populations across the world. In the present study, the role of ACE2 G8790A (rs2285666) variant as risk predictor for severity of COVID-19 infection was investigated.Materials and methods: One-hundred COVID-19 subjects were included in the study and divided into: subjects with a history of severe infection and ICU-admitted (Group 1) and subjects with mild to moderate COVID-19 infection (Group 2). Genotype analysis for rs2285666 of ACE2 was performed using polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) method.Results: The distribution of ACE2 G8790A (rs2285666) genotypes were GG 62%, GA 18%, and AA 20% in Group 1 and GG 34%, GA 14%, and AA 52% in Group 2, respectively. The A allele of rs2285666 (p≤0.001; OR=3.4; 95% CI=1.89–6.107) were less frequent in Group 1 as compared to Group 2. Also, a statistically significant difference was found between severity of COVID-19 infection with age and comorbidities such as diabetes, hypertension, chronic kidney disease, but not gender.Conclusion: Our findings suggest the possibility of a protective mechanism of the AA genotype of ACE2 G8790A (rs2285666) variant against COVID-19 disease severity.Keywords: COVID-19, ACE2 gene, renin-angiotensin system, genetic association, rs2285666, sanger sequencing
Narcissistic personality syndrome in relation to emotional states: Preliminary findings in a Dutch psychiatric outpatient sample
Authors: Driessen Renée , Keulen-de Vos Marije
Published: November 2023

The aims of the current study was to investigate the relation between the narcissistic personality syndrome (NPS) and schema modes, which refer to the predominant emotional state, schemas, and coping responses that are active for an individual at a particular time. Participants consisted of 25 clients who filled out the Schema Mode Inventory and 25 clinicians who provided assessment of NPS using the Shedler-Westen Assessment Procedure. This study showed a significant correlation between NPS and a lack of frustration tolerance (i.e., undisciplined child mode). There were no significant relations with self-aggrandizement (i.e., self-aggrandizer mode), feeling intensely angry (i.e., angry child and enraged child modes), and trying to suppress painful emotions by compulsively and excessively committing to distracting and soothing activities, such as abusing drugs (i.e., detached self-soother mode). This preliminary study contributes to our understanding of pathological narcissism in Dutch outpatient clients. We point to the importance of a self-reported lack of frustration tolerance as a potentially valuable diagnostic characteristic of pathological narcissism. We additionally emphasize the importance of diagnostic approaches based on clinical judgement when it comes to pathological narcissism.
Digital Medical Information Services Delivered by Pharmaceutical Companies via WeChat: Qualitative Analytical Study (Preprint)
Authors: Ge Ying , Yao Dongning , Ung Carolina Oi Lam , Xue Yan , Li Meng , Lin Jiabao , Hu Hao , Lai Yunfeng
Published: November 2023

BACKGROUND

Social media has become one of the primary information sources for medical professionals and patients. Pharmaceutical companies are committed to using various social media platforms to provide stakeholders with digital medical information services (DMISs), which remain experimental and immature. In China, WeChat tops the list of popular social media platforms. To date, little is known about the service model of DMISs delivered by pharmaceutical companies via WeChat.

OBJECTIVE

This study aims to explore the emerging service model of DMISs delivered by pharmaceutical companies via WeChat in China.

METHODS

This study applied a qualitative research design combining case study and documentary analysis to explore the DMISs of 6 leading pharmaceutical companies in China. Materials were collected from their official WeChat platforms. Thematic analysis was conducted on the data.

RESULTS

The DMISs of 6 pharmaceutical companies were investigated. Themes emerged regarding 2 essential information services delivered by pharmaceutical companies via WeChat: business operation services and DMISs (ie, public information services, professional services, science and education services, and e-commerce services). Business operation services mainly function to assist or facilitate the company’s operations and development trends for general visitors. Public-oriented information services are realized through health science popularization, academic frontiers, product information, and road maps to hospitals and pharmacies. Internet hospital and pharmacy services are the main patient-oriented professional services. Medical staff–oriented science and education services commonly include continuing education, clinical assistance, academic research, and journal searching. Public-oriented e-commerce services include health products and health insurance.

CONCLUSIONS

Pharmaceutical companies in China use WeChat to provide stakeholders with diversified DMISs, which remain in the exploratory stage. The service model of DMISs requires more distinct innovations to provide personalized digital health and patient-centric services. Moreover, specific regulations on the DMISs of pharmaceutical companies need to be established to guard public health interests.
Potential Implementers’ Perspectives on the Development and Implementation of an e–Mental Health Intervention for Caregivers of Adults With Chronic Kidney Disease: Qualitative Interview Study (Preprint)
Authors: Coumoundouros Chelsea , El Arab Rabie Adel , Farrand Paul , Hamilton Alexander , Sanderman Robbert , von Essen Louise , Woodford Joanne
Published: November 2023

BACKGROUND

e–Mental health interventions can improve access to mental health support for caregivers of people living with chronic kidney disease (CKD). However, implementation challenges often prevent effective interventions from being put into practice. To develop an e–mental health intervention for caregivers of people living with CKD that is optimized for future implementation, it is important to engage professionals that may endorse or deliver the intervention (ie, potential implementers) during intervention development.

OBJECTIVE

This study aims to explore the perspectives of potential implementers working in kidney care, in mental health care, or at nonprofit organizations regarding the design and implementation of an e–mental health intervention for caregivers of people living with CKD.

METHODS

Potential implementers (N=18) were recruited via National Health Service Trusts, email, and social media advertisements to participate in semistructured video interviews. Interview questions were informed by the Consolidated Framework for Implementation Research (CFIR). Data were analyzed using a deductive analysis approach using the CFIR, with inductive coding applied to relevant data not captured by the framework.

RESULTS

A total of 29 generic categories, related to 17 CFIR constructs, were identified. The perceived fit between the intervention and implementation context (ie, existing service delivery models and work routines) and existing social networks among potential implementers were perceived as important factors in enhancing implementation potential. However, a need for capacity building among potential implementers to create systems to support the identification and referral of caregivers to an e–mental health intervention was identified. Equity concerns were raised regarding the intervention, highlighting the importance of incorporating an equity lens during intervention design to enhance accessibility and adoption.

CONCLUSIONS

Potential implementers provided valuable insights into key design and implementation factors to help inform the development of an e–mental health intervention for caregivers of people living with CKD. Incorporating their feedback can help ensure the intervention is acceptable and inform the selection of future implementation strategies to enhance the implementation potential of the intervention. Potential implementers should continue to be engaged throughout intervention development.
Breaking New Ground "Medical Education" on Twitter: A Social Network Analysis Retrospective (Preprint)
Authors: Iqbal Shazia , Ahmad Shahzad , Samsudin Mohd Ali , Al-kilani Hanin Hisham , Alshateb FarahHamed , Ragheb Sahar Mohammedsamir , Asfari Joud Mohamed , Sharif Rinad Yaser , Sharif Saied Yaser , Alruwaili Alhanouf Radhyan , Alqudaihi Noor Sabri , bin Essa Aljawharah Mohammad , Aljarbaa Mohammad Nawaf , Alramadhan Fatimah Hassan
Published: November 2023

BACKGROUND

Social media are an integral part of the modern lifestyle and the digital learning environment in medical education is flourishing with cutting-edge social network technologies. Currently, there is scarce data and research about the use of social media and the role of Twitter use in medical education.

OBJECTIVE

This study will examine the different forms of social organization, establish the top opinion leaders, and explore the sub-clusters existing regarding “Medical Education” on the Twitter network.

METHODS

This study retrieved Twitter data on 7th January 2023 by using the keywords “Medical Education”. To achieve the objectives, this study used NodeXL to analyze the results.

RESULTS

We found that the top opinion leader (vertex) “Msblairewhite” had the highest in-betweenness centrality and in-degree centrality and is determined as an influencing leader in medical education. “Peaceahead” had the out-degree centrality for networks. Although Msblairewhite had the highest in-betweenness centrality, “elonmusk” had the maximum number of followers. This indicates that the vertex having maximum influence with the largest number of in-betweenness centrality has not linked with several followers.

CONCLUSIONS

Twitter has great potential to transform pedagogy in medical education. However, there must be a structured way to engage the medical education community to stay active on Twitter by creating specific pages linked to Health Professional Education. This study’s most discussed topics and trends are related to the healthcare system, common community-based issues, and communicable diseases. There is a wide gap in discussion on Twitter related to medical curriculum reforms, pedagogical techniques, technology-enhanced learning, clinical teaching skills, simulations, and faculty development.

CLINICALTRIAL

none
User Views on Online Sexual Health Symptom Checker Tool: Qualitative Research (Preprint)
Authors: King Alicia Jean , Bilardi Jade Elissa , Towns Janet Mary , Maddaford Kate , Fairley Christopher Kincaid , Chow Eric P F , Phillips Tiffany Renee
Published: November 2023

BACKGROUND

Delayed diagnosis and treatment of sexually transmitted infections (STIs) contributes to poorer health outcomes and onward transmission to sexual partners. Access to best-practice sexual health care may be limited by barriers such as cost, distance to care providers, sexual stigma, and trust in health care providers. Online assessments of risk offer a novel means of supporting access to evidence-based sexual health information, testing, and treatment by providing more individualized sexual health information based on user inputs.

OBJECTIVE

This developmental evaluation aims to find potential users’ views and experiences in relation to an online assessment of risk, called iSpySTI (Melbourne Sexual Health Center), including the likely impacts of use.

METHODS

Individuals presenting with urogenital symptoms to a specialist sexual health clinic were given the opportunity to trial a web-based, Bayesian-powered tool that provides a list of 2 to 4 potential causes of their symptoms based on inputs of known STI risk factors and symptoms. Those who tried the tool were invited to participate in a once-off, semistructured research interview. Descriptive, action, and emotion coding informed the comparative analysis of individual cases.

RESULTS

Findings from interviews with 14 people who had used the iSpySTI tool support the superiority of the online assessment of STI risk compared to existing sources of sexual health information (eg, internet search engines) in providing trusted and probabilistic information to users. Additionally, potential users reported benefits to their emotional well-being in the intervening period between noticing symptoms and being able to access care. Differences in current and imagined urgency of health care seeking and emotional impacts were found based on clinical diagnosis (eg, non-STI, curable and incurable but treatable STIs) and whether participants were born in Australia or elsewhere.

CONCLUSIONS

Online assessments of risk provide users experiencing urogenital symptoms with more individualized and evidence-based health information that can improve their health care–seeking and provide reassurance in the period before they can access care.

CLINICALTRIAL
A Comparative Ecological Analysis of Chinese and American Media Reports on Emergency Disasters from the Perspective of Transitivity System
Authors: Sun Yue
Published: November 2023

This article is based on the transitivity analysis framework proposed by He and Wei (2017), and adopts a combination of qualitative and quantitative research methods to compare and analyze the ecological properties of domestic and foreign emergency reporting in the United States and China. It finds that overall, both China Daily and The New York Times have a certain degree of ecological ambiguity, with the beneficial presentation of China Daily being greater than The New York Times, and the destructive presentation of China Daily being smaller than The New York Times, with a smaller difference in ambiguity. In addition, China Daily presents more ecological benefits in domestic reports and uses more ecological ambiguities in foreign reports, while The New York Times uses more ecological ambiguities in domestic reports and more ecological destructiveness in foreign reports. Therefore, this article aims to stimulate the public’s vigilance and awareness towards sudden accidents and disasters by studying the ecological properties of report, and to attach more importance to such public accidents.
Machine Learning for Health Predictor Using Cloud Storage
Authors: Naik Dr. P. Pedd Sadhu
Published: November 2023

Abstract: There Are Many ML Models For Medical Sector Analysis Focus On A Single Disease. For Example, One Analysis Could Be For Diabetes, Another For Cancer, And Another For Skin Problems. There Is No Universal Approach That Can Forecast Multiple Diseases Using A Single Analysis. By Utilizing The Flask API, This Project Proposes A System That Can Forecast Different Diseases. Diabetes, Heart Disease, And Breast Cancer Were All Examined In This Investigation. Other Disorders, Such As Skin Conditions, Fever Analysis, And A Variety Of Others, Can Be Added Later. Using Machine Learning Methods, Tensor Flow, And The Flask API, Numerous Illness Analyses Was Implemented. The Model Behavior Is Saved Using Python Pickling, And It Is Loaded Using Python Unpicking. As We Are Using Various Kinds Of Vast Health Data Sets, This Leads To Need For A Cloud For Accessing The Data So Here We Use Cloud For Our Data Access, Then The Remaining Process Get Held By Using The Various ML Algorithms
Vehicle Security System Using IoT Application
Authors: Rathod Rohit
Published: November 2023

Abstract: The main purpose of the project is to utilize the wireless technology successfully for the car conditions by utilizing the IOT Technology if there should be an occurrence of robbery suggestion. The main extent of this project is to stop the motor of an automobile naturally. This should be possible at whatever point a man attempting to take the vehicle, around then sends a hinder to a programmable microcontroller of arduino family that stores proprietor's number upon an Intimation message out of the blue .When some individual tries to take the auto then microcontroller gets a prevent and the proprietor gets a SMS that his auto is being stolen then the proprietor login to the IOT based web server and control the vehicle like start buzzering, or can execute engine
A Survey on Blockchain Based Solution for Agriculture Supply Chain Management
Authors: S Mrs. Shruthi T , S Chethan , S Darshan M , Hampanna M Santosh Kumar M
Published: November 2023

Abstract: Agriculture, a practice that spans thousands of years, has always been at the heart of human civilization. Throughout history, agriculture has continuously adapted to meet the needs of growing populations and ensure food quality, traceability, and efficiency. Recent advancements in blockchain technology have brought about significant positive changes in the agricultural sector. Blockchain has found a valuable role in agriculture, enhancing transparency, traceability, and trust throughout the supply chain. This paper provides an in-depth survey of how blockchain has impacted various aspects of agriculture, discusses the challenges it faces, and considers the promising future it holds for the industry. As blockchain adoption in agriculture continues to evolve, it promises to revolutionize the way we produce and distribute food, ensuring a more efficient, secure, and sustainable supply chain.
Diuretic activity assessment of an aqueous extract of Hibiscus sabdariffa (Malvaceae) leaves on Wistar rats
Authors: Atto Virginie , Oussou N’guessan Jean-Baptiste , Diby Yao Bernard , Konan Brou Andre , Datte Jacques Yao
Published: November 2023

Hibiscus sabdariffa (Malvaceae) is a plant known as a diuretic. We undertook to evaluate the therapeutic effectiveness of this plant. Twenty Wistar rats aged between 6 and 8 weeks and weighing between 150 and 250 g were divided into five homogeneous batches of four rats. Batch 1 received only the saline overload, NaCl (50 ml/kg). Immediately after the saline overload, batches 2, 3, 4 and 5 received orally, furosemide, the standard diuretic (40 mg/kg bw), or single doses of 500, 1000 and 1500 mg/kg bw of the aqueous extract of H. sabdariffa leaves, respectively. The results showed that, 24 hours after the administrations, the urinary volumetric excretions of 123.06±11.07; 66.11± 6.19; 112.22±4.36 and 61.39±10.28% respectively. The increases in urinary volumetric excretion induced by the extract were statistically significant compared to the control rats (34.99±8.46%). The extract at a dose of 1000 mg/kg bw and furosemide showed statistically similar values of urinary volumetric excretion. This urinary excretion was accompanied by an elimination of Na+ and K+ ions similar to furosemide. The urinary measurement of creatinine and urea also revealed that the extract did not interfere with normal renal function during treatment. This study shows that the aqueous extract of H. sabdariffa leaves has diuretic and natriuretic activity similar to that of furosemide. This activity could be attributed to the presence of alkaloids, steroids and flavonoids, compounds known for their diuretic effects.

Keywords: Hibiscus sabdariffa, Furosemide, urinary excretion, diuretic
The ethanol extract of Syzygium cumini exhibits cytotoxic potentials against breast cancer cells due to antioxidant properties
Authors: Pundi Krishna , Ramesh C , Rawal Pinkey , Sowmya B.A.
Published: November 2023

The present investigation was designed to evaluate in vitro cytotoxic potentials of ethanol extract of Syzygium cumini against breast cancer cells and also estimate its antioxidant activity. The ethanol extract of Syzygium cumini was prepared by successive solvent extraction process using sox-let apparatus. The ethanol extract was evaluated for its in-vitro anticancer potentials against MCF-7  human breast cancer cell lines by MTT assay and concentration of the ethanol extract required to inhibit 50% of cell growth (IC50) was recorded. To determine antioxidant properties of the extract, superoxide scavenging, lipid peroxidation and DPPH methods were used and IC50 values of extracts were noted. In current study, ethanol extract of Syzygium cumini has shown anticancer property by exhibiting significant IC50 values against growth of breast cancer cell growth. The extract has also shown significant IC50 values in superoxide scavenging, lipid peroxidation and DPPH methods and antioxidant activity was comparable to standard drug ascorbic acid. The results obtained from the present research work suggested that the ethanol extract of Syzygium cumini possess significant in vitro cytotoxic potentials against breast cancer cells. The results also suggested that the ethanol extract have in vitro antioxidant properties.

Keywords: Anticancer activity, Syzygium cumini, IC50 value, MTT assay and antioxidant activity.
Homeopathic High Magnesium Muscle Cramp Treatment Causing Renal Dysfunction
Authors: Ogbuehi Chisom , Guo Lucia , Atalay Rediet Tefera , Benjamin Clara , Ayele Girma M. , McAllister Valerie , Kareem Saad Abdul , Siraga Mahlet , Michael Miriam B
Published: November 2023

Herbal medications are often perceived as safe since they are believed to be sourced from natural sources and are sought after for various health conditions, including muscle cramps. While some herbal medicines may provide relief, it is crucial to exercise caution and be aware of their potential side effects, including the risk of exacerbating renal failure when they contain high magnesium levels. This is a case of a 76-year-old woman who experienced renal failure after consuming herbal medication rich in magnesium to alleviate muscle cramps.

Keywords: Acute renal failure, hyper magnesium, muscle cramps
Meiotic analysis of induced translocation heterozygotes in Lepidium sativum Linn.
Authors:   Department of Botany, University of Allahabad, Prayagraj-211 002, India, Kumar G. , Pandey P. ,   Department of Botany, University of Allahabad, Prayagraj-211 002, India, Pandey A. ,   Department of Botany, University of Allahabad, Prayagraj-211 002, India, Yadav J. ,   Department of Botany, University of Allahabad, Prayagraj-211 002, India, Tiwari N.K. ,   Department of Botany, University of Allahabad, Prayagraj-211 002, India, Pandey S. ,   Department of Botany, University of Allahabad, Prayagraj-211 002, India
Published: November 2023

Aim: To assess the cytological effects of Gamma rays on the pollen mother cells and post meiotic products of Lepidium sativum Linn. which resulted in isolation of translocation heterozygote and aneuploid gametes. Methodology: During the experiment, parameters such as Meiotic stages, chromosomal structure, and pollen fertility were studied. Fresh seeds of Garden cress were orderly arranged in plastic and divided into four groups. The fresh seeds of each group were individually irradiated with 60Gy, 150Gy, 300Gy, 450Gy and 600Gy @ 7.247KGyh-1 in the Floriculture Laboratory of National Botanical Research Institute (NBRI), Lucknow (India). The source for gamma ray irradiation was Cobalt-60. The irradiated seeds were sown in triplicates along with their respective controls. Results: Meiotic analysis of pollen mother cells (PMCs) at 300Gy showed translocation heterozygotes, however, in the control sets, the rate was negligible and phenotypically the plants were weak and short heighted. The cytological illustration of chromosomal configuration at diakinesis and metaphase I exhibited the superiority of tetravalents, bivalent and other forms of chromosomal associations such as multivalents. The induced translocation heterozygotes resulted in stickiness at metaphase and anaphase states along with the formation of bridges at anaphase stage. Due to chromosomal anomalies, the pollen fertility was reduced to 37.54±0.25% in contrast to control plants (98.20±0.16%). Interpretation: The current research work would be of paramount interest as translocation heterozygote serves as a source for raising aneuploid offspring having novel genetic combinations. Key words: Chromosomal anomalies, Heterozygotes, Lepidium sativum Linn, Meiosis, Pollen fertility
Selection and development of superior strains through functional trait-based approach in agarophytic red alga Gracilaria dura (Rhodophyta)
Authors:   Division of Applied Phycology and Biotechnology, CSIR-Central Salt & Marine Chemicals Research Institute, Bhavnagar-364 002, India, Dawange P.S. , Mantri V.A. ,   Division of Applied Phycology and Biotechnology, CSIR-Central Salt & Marine Chemicals Research Institute, Bhavnagar-364 002, India, Jaiswar S. ,   Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201 002, India
Published: November 2023

Aim: Gracilaria dura, a red agarophyte, is known for its high-quality agarose content and holds significant potential for commercial applications in aquaculture-related industries. The successful commercial utilization of seaweeds relies heavily on obtaining high-quality seed material with commercially valuable traits. Methodology: This study focuses on employing a functional trait-based approach to develop superior strains of G. dura for commercial aquaculture in India. Cultivation through an open sea farm, variations in growth, agar yield, pigments, antioxidant capacity, and primary productivity among the strains were observed. Results: The daily growth rate ranged from 0.5 to 3.5% per day, while pigment content exhibited variations in the Chlorophyll-a, R-Phycocyanin, and R-Phycoerythrin contents. Antioxidant capacity and gross primary productivity also displayed diverse ranges. From a total of 38 strains of G. dura, three were selected based on their growth and other functional traits, namely ADI0221201, VER0220090, and ADI0221202. Positive correlations were identified between growth and regeneration, as well as growth and Chl-a. Agar content showed a positive association with antioxidant capacity and productivity. 1H NMR analysis identified 12 metabolites as potential biomarkers for G. dura growth. Interpretation: All three selected strains hold promise for future commercial cultivation of Gracilaria dura. Furthermore, six additional strains were selected based on their higher growth and agar yield for targeted breeding and hybridization to enhance desirable traits. Key words: Agarophyte, Aquaculture, Functional traits, Growth, Gracilaria dura, Strain selection
Perancangan Tata Letak Fasilitas Industri Bakery dengan Pendekatan Model Single Row dan Double Row Layout
Authors: Rifai Achmad Pratama , Kusumaningsih Devita Ayuni , Syahrizad Alfarasyied , Adriani Arista , Hediandra Fahreza Baskara , Ramadhana Ihsan , Sunarso Radhitya Virya Paramasuri , Abdilah Syahdan Haris
Published: November 2023

Usaha Mikro Kecil dan Menengah (UMKM) merupakan kontributor besar terhadap perekonomian Indonesia. Akan tetapi, masih banyak UMKM yang bergelut pada isu kualitas produk dan proses produksi yang kurang efektif dan efisien. Salah satunya adalah XYZ Bakery di Bantul, Yogyakarta yang mengalami permasalahan dari segi peletakan area dan permesinan yang mengakibatkan tingginya waktu perpindahan material. Perbaikan diperlukan guna mendesain ulang tata letak departemen dan mesin agar memudahkan perpindahan barang dan kenyamanan pekerja. Langkah yang dilakukan mencakup observasi pabrik, desain tata letak, serta perbaikan dengan pertimbangan alur produksi, perpindahan barang, dan allowance. Metode analisis peletakan tata letak fasilitas menggunakan Activity Relationship Diagram dan Dimensionless Block Diagram. Dalam penelitian ini, optimasi peletakan mesin dilakukan menggunakan Simulated Annealing (SA) dan Modified Spanning Tree (MST). Hasil penelitian menunjukkan peletakan mesin secara single row dengan SA dan MST menghasilkan urutan sama. Sedangkan layout dengan total travelled distance terendah adalah hasil dari SA dengan skema double row.
Kajian Perilaku Berisiko Pengendara Sepeda Motor di Indonesia
Authors: Jefri Nabila Dearmi , Maryani Anny , Iridiastadi Hardianto
Published: November 2023

Penelitian ini bertujuan untuk menentukan faktor-faktor perilaku berisiko pengendara sepeda motor di Indonesia yang berhubungan dengan risiko terjadinya kecelakaan lalu lintas. Tujuan tersebut akan dicapai melalui dua tahap penelitian. Tahap pertama adalah mengembangkan instrumen survei berupa kuesioner yang representatif dan tervalidasi untuk menilai perilaku berkendara pengendara sepeda motor di Indonesia. Kuesioner disusun berdasarkan studi penelitian terdahulu mengenai motorcycle rider behaviour questionnaire (MRBQ). Tahap kedua adalah melakukan survei dengan penyebaran kuesioner di Indonesia. Penelitian ini menggunakan 75 indikator untuk mengukur delapan variabel yang diteliti yaitu traffic error, control error, traffic violation, speed violation, safety equipment, safety violation, stunts, dan local behaviour. Sebanyak 370 data berhasil dikumpulkan berdasarkan teknik sampling homogeneous purposive sampling dan diolah menggunakan teknik PLS-SEM. Hasil pengolahan data dengan PLS-SEM menunjukkan ke-8 faktor secara signifikan berpengaruh terhadap risky rider behaviour dimana komponen traffic violation memiliki pengaruh paling tinggi pada aspek perilaku berisiko pengendara sepeda motor di Indonesia.
Pengujian Potensi Produk Pertalite sebagai Bahan Bakar Memasak Rumah Tangga dengan Metode Pengujian Boiling Test Water Menurut SNI 7368:2007
Authors: Prasetyo Patrisius Edi
Published: November 2023

LPG produk bahan bakar memasak rumah tangga paling banyak digunakan masyarakat Indonesia terutama ukuran 3kg. Kelangkaan LPG sering terjadi sehingga mengakibatkan harga diatas HET. Produk Pertalite memiliki ketersediaan lebih stabil daripada LPG 3kg. Penelitian ini bertujuan mengetahui potensi pertalite sebagai alternatif pengganti LPG atau saat LPG bersubsidi langka. Penelitian ini menggunakan metode boiling water test (SNI 7368:2007) untuk mengetahui nilai efisiensi pertalite dan LPG. Hasil penelitian menunjukan sebagai bahan bakar memasak rumah tangga, produk pertalite lebih efisien 29,68% daripada LPG. Harga untuk skenario pengujian, produk LPG 3kg bersubsidi lebih murah (LPG: Rp467, -, pertalite: Rp824,-) karena pada harga yang sama, massa LPG 3kg lebih tinggi daripada pertalite namun pertalite lebih murah dibandingkan LPG tidak bersubsidi. Kesimpulan penelitian ini produk pertalite berpotensi sebagai alternatif LPG tidak bersubsidi ketika terjadi kelangkaan produk LPG bersubsidi atau ketika produk LPG 3kg tidak disubsidi pemerintah
Optimasi Parameter 3D Printing Terhadap Kualitas Produk Bahan Acrylonitrile Butadiene Styrene
Authors: Lubis Sobron Yamin , Riza Abrar , Wijaya Alvian Hartanto , Ariyanti Silvi
Published: November 2023

Sebelum produk dibuat dalam jumlah massal, maka terlebih dahulu dibuat protoype, pembuatan prototype cepat (rapid prototyping) dapat dilakukan dengan 3D printing. Adalah penting untuk menghasilkan kondisi permukaan yang baik yaitu nilai kekasaran permukaan yang kecil menunjukkan kondisi permukaan benda kerja adalah baik. Pada proses 3D printing terdapat tiga parameter proses yang mempengaruhi kondisi permukaan benda kerja tersebut yaitu kecepatan cetak, temperatur  dan tebal layer. Untuk menghasilkan nilai kekasaran permukaan yang baik maka harus dapat ditentukan kombinasi parameter proses 3D printing yang optimal. Berdasarkan hal tersebut maka penelitian ini dilakukan. Penelitian dilakukan dengan metode ekseperimental. Percobaan dilakukan menggunakan mesin 3D printing, dan bahan yang digunakan sebagai filamen adalah Acrylonitrile Butadiene Styrene (ABS). Model didesain menggunakan software fusion 360 berbentuk sebuah piston. Eksperimen ini dilakukan dengan variasi parameter proses yaitu kecepatan printing 60,70, dan 80 mm/s, temperatur 240,250 dan 260 oC, dan tebal layer 0,1, 0,2, dan 0,3 mm.Untuk setiap hasil proses 3D printing dilakukan pengukuran kekasaran permukaan menggunakan surface roughness test. Nilai yang dihasilkan kemudian dianalisis dengan metode Taguchi. Hasil yang diperoleh yaitu kombinasi parameter proses 3D pada  kecepatan pencetakan 60mm/s, temperatur pencetakan 240 °C, dan tebal layer 0.1 mm.
Pengukuran Kepuasan Pelanggan Menggunakan Metode Service Quality (SERVQUAL): Studi Kasus PT Pos Indonesia Kota Metro
Authors: Rachmawati Nur Layli , Fitriani Mita
Published: November 2023

Kepuasan pelanggan merupakan salah satu aspek penting yang harus diperhatikan oleh perusahaan agar mampu bersaing, utamanya bagi perusahaan di bidang jasa. PT Pos Indonesia Kota Metro mengalami penurunan jumlah pelanggan. Hal ini disebabkan oleh beberapa faktor antara lain penurunan kepuasan pelanggan dan banyaknya kompetitor baru yang menawarkan jasa sejenis. Penelitian ini bertujuan untuk mengukur kepuasan pelanggan dan menentukan prioritas perbaikan untuk meningkatkan kepuasan pelanggan menggunakan metode Service Quality (SERVQUAL). Dimensi yang digunakan adalah tangible, responsiveness, reliability, assurance, dan empathy. Berdasarkan hasil pengolahan data didapatkan bahwa secara keseluruhan PT Pos Indonesia Kota Metro masih belum sepenuhnya memenuhi ekspektasi pelanggan dengan prioritas perbaikan pada dimensi responsiveness, reliability, assurance, tangible, empathy dengan nilai gap secara berturut-turut sebesar -1.31, -1.10, -1.01, -0.89, dan -0.53. Secara lebih detil, lima prioritas perbaikan yang perlu dilakukan adalah atribut X8, X4, X7, X9, dan X17 dengan nilai gap secara berturut-turut sebesar -1.7, -1.5, -1.37, -1.37, dan -1.30.
Analisis Kelayakan Proyek Pengelolaan Limbah Drilling Cutting di Perusahaan Manufaktur Semen
Authors: Suryani Aini , Alfa Bonitasari Nurul
Published: November 2023

Perusahaan manufaktur semen di Jawa Barat sedang mengerjakan proyek pengelolaan limbah drilling cutting dengan rata-rata kapasitas pengiriman limbah adalah sebanyak 2,500 – 4,000 ton selama 2-3 bulan. Penelitian ini bertujuan untuk menentukan kelayakan proyek berdasarkan aspek finansial dan non-finansial. Dari hasil penelitian diperoleh keuntungan sebesar Rp. 42,900,289,588, BCR 1.17 dan NPV 33,207,124,345. Dari aspek hukum, perusahaan manufaktur semen sudah memiliki dokumen ijin sebagai perusahaan pemanfaat limbah. Dari aspek teknis, teknologi co-processing yang digunakan dalam pemanfaatan limbah sudah cukup efektif mengurangi jumlah limbah industri dan emisi. Dari aspek manajemen, proyek pengelolaan limbah drilling cutting ini melibatkan sebanyak 102 tenaga kerja sesuai dengan kapasitas yang diperlukan, dan tidak ada perubahan struktur organisasi selama proyek berlangsung. Dari aspek lingkungan dan sosial, proyek ini dapat mengurangi jumlah limbah B3 di lingkungan, mengurangi konsumsi bahan baku pembuatan semen yang berasal dari alam seperti batu kapur, pasir silika, shale dan pasir besi.
House of Quality sebagai Pengendalian Kualitas Produk pada Kemasan Karton Lipat
Authors: Zulkarnain Zulkarnain , Apriyanti Yunita , Aulia Augustine Dwi , Pratiwi Widyastuti , Imam Saeful
Published: November 2023

Permasalahan produk kemasan karton lipat (KKL) yang sering ditemukan pada proses produksi cetak adalah masalah miss register. Fokus dalam penelitian ini adalah pada masalah miss register yang terjadi pada proses produksi cetak. Penelitian ini bertujuan untuk mengendalikan kualitas produk dalam upaya peningkatan kualitas kemasan karton lipat. Penelitian ini menggunakan metode House of Quality (HOQ). Hasil dari penelitian menunjukkan bahwa prioritas respon teknik dalam rangka peningkatan kualitas produk kemasan adalah pembuatan instruksi kerja (nilai importance sebesar 377,78), dan pelatihan operator (nilai importance sebesar 314,81). Berdasarkan hasil analisis House of Quality ditemukan juga bahwa produk A lebih unggul daripada
Penggunaan Metode NASA-TLX dan Fuzzy Logic dalam Penilaian Beban Kerja Mental Pekerja (Studi Kasus: Perusahaan Komponen Otomotif)
Authors: Sajiwo Bagus , Winarno Winarno
Published: November 2023

Pekerjaan bagian produksi dalam perusahaan pembuat komponen otomotif menjadikan waktu dan jumlah pesanan sebagai penilaian kerja, sehingga perlu kerja keras dalam merampungkan tugas dengan waktu dan jumlah yang ditentukan. Aktivitas tersebut menimbulkan beban kerja mental yang tinggi. Oleh sebab itu, perlu adanya penelitian lanjutan mengenai adanya peningkatan beban kerja mental pekerja bagian produksi agar pekerja dapat lebih maksimal dalam melakukan tugasnya dan terciptanya lingkungan kerja yang aman. Penilaian menggunakan Nasa-TLX dan Fuzzy Logic, serta diberikan usulan terkait perbaikan sistem kerja pada perusahaan. Hasil penelitian berdasarkan Nasa-TLX menunjukkan rekapitulasi hasil menunjukkan dari 6 pekerja dengan 3 tipe pekerjaan yakni operator mesin drilling, tapping, dan milling, semua termasuk kedalam kategori tinggi beban kerja mental yaitu >50. Kemudian dilanjutkan diolah kembali hasil rekap menggunakan Fuzzy Logic menghasilkan nilai yang terkategori tinggi yaitu bernilai 90,33, 90,67, dan 70,64. Demikian sangat diperlukannya usulan perbaikan sistem kerja.
Analisis Kualitas Pelayanan Penggunaan Aplikasi Sitakon Kementerian Perhubungan dengan Metode E-Service Quality
Authors: Salsabila Meldi Ghina , Amrina Uly
Published: November 2023

Sejak tahun 2020, Aplikasi SITAKON Kementerian Perhubungan hanya memiliki total penggunaan sebanyak 24 konsultasi. Sementara menurut Auditor, dalam setahun Auditi dapat berkonsultasi melalui aplikasi WhatsApp minimal 200 konsultasi. Hal ini menunjukkan pemanfaatan aplikasi ini rendah, yaitu hanya sekitar 6% dari total konsultasi yang dilakukan Auditi dalam 2 tahun sejak aplikasi ini diluncurkan. Oleh karena itu, perlu dilakukan penilaian terhadap kualitas pelayanan penggunaannya dan mencari strategi agar kualitas pelayanannya meningkat. Metode e-Service Quality digunakan untuk menilai kualitas pelayanan yang kemudian hasilnya dianalisa menggunakan Diagram Kartesius. Data diperoleh dengan menyebarkan kuesioner kepada 80 Auditi. Hasil penelitian menunjukkan bahwa kualitas pelayanan penggunaan Aplikasi SITAKON masih dinilai kurang baik karena hanya 18,75% indikator bernilai gap positif, dan strategi yang perlu dilakukan adalah memperbaiki sistem aplikasi agar tidak lagi mengalami macet.
Pemodelan Sistem Antrian Batch Menggunakan Metode System dynamics: Studi Kasus pada suatu Toko Beras di Madiun
Authors: Murdapa Petrus Setya , Hanafi Syahrul Fadhil , Indrawati Chatarina Dian
Published: November 2023

Fenomena antrian banyak dimodelkan dengan cara mendifinisikan keseluruhan state sistem, dilanjutkan dengan menyusun diagram transisi antar state, dan menyusun algoritma perhitungan numeriknya, ketika pemodelan secara analitik murni tidak berhasil dilakukan. Pada kenyataannya ada begitu banyak state yang terlibat maka pemodelan numerik pun dapat  gagal pula dalam menggeneralisasi alur transisi antar statenya. Dalam tahap ini, pemodelan pun menjadi buntu. Penggunaan teknik system dynamics menjadikan pemodel terbebas dari permasalahan pendifinisain state-state. Dengan cara ini perumusan model sistem antrian di mana proses kedatangan dan proses keberangkatan bersifat batch menjadi lebih mudah. Model dikenakan untuk membahas satu contoh kasus, yaitu kasus sistem persediaan beras. Ketika proses kedatangan dan keberangkatan bersifat random dan batch, maka pengendalian antrian dilakukan dengan menetapkan batas bawah dan  atas antrian.
Analisis Pengukuran Nilai Overall Equipment Effectiveness (OEE) Pada Mesin Rice Milling Unit (RMU) di PT. FSTJ
Authors: Priyanto Dwi , Suhada Resa Taruna
Published: November 2023

Tingkat produksi beras PT. FSTJ cenderung mengalami kenaikan. PT. FSTJ berupaya untuk mengantisipasi kenaikan produksi yang terjadi dengan membuat strategi perencanaan kapasitas produksi dengan lebih baik. Salah satunya dengan menggunakan perhitungan nilai Overall Equipment Effectiveness (OEE) sebagai acuan penilaian efektifitas fasilitas produksi yang ada. Berdasarkan hasil observasi pemantauan parameter OEE yang dilakukan didapat hasil nilai rata rata OEE selama tiga bulan sebesar 57,02%, rasio ketersediaan atau availability ratio sebesar 92,78%, rasio kinerja atau performance ratio 87,12% dan rasio kualitas atau quality ratio sebesar 70,54%. Secara umum, usia pakai mesin yang ada masih relatif baru dan beroperasi dengan kondisi yang baik, sehingga nilai OEE yang didapat dapat dijadikan sebagai parameter acuan nilai OEE dimasa yang akan datang. Hasil penelitian ini dapat menjadi dasar rencana pengembangan Smart Manufacturing System pada perusahaan, dimana nilai OEE akan dimonitor secara waktu nyata atau realtime sebagai sebuah real-time OEE monitoring system.
Peramalan Jumlah Ekspor Produk Ikan, Krustasea, dan Invertebrata Air Indonesia dengan Metode Autoregressive Integrated Moving Averages (ARIMA)
Authors: Purnamasari Mega , Rizkiyah Nyimas Desy
Published: November 2023

Fenomena saat ini adalah 25% angka kemiskinan penduduk Indonesia merupakan para nelayan dan 53% penduduk pesisir pantai hidup di bawah garis kemiskinan. Saat ini pemerintah melakukan stimulus untuk dapat meningkatkan taraf ekonomi para nelayan salah satunya dengan meningkatkan budidaya perikanan untuk ekspor. Berdasarkan data, meskipun demand produk perikanan indonesia diminati di 175 negara di dunia, hanya 3.5% dari seluruh demand dunia yang baru dapat dipenuhi oleh Indonesia. Permasalahan terkait belum terpenuhinya permintaan pasar sebesar 96,5% mengharuskan Indonesia lebih siap baik dari sisi perencanaan maupun strategi yang akan dilakukan. Salah satu caranya adalah dengan melakukan peramalan permintaan. Pada penelitian kali ini  bertujuan untuk melakukan peramalan jumlah produksi Indonesia untuk dapat memenuhi kebutuhan dunia di tahun 2022 dengan metode ARIMA. Dari hasil pengujian diketahui bahwa model terbaik adalah ARIMA (1,0,0) dan SARIMA (12,0,24) dan dilakukan peramalan dari Mei 2022 hingga Oktober 2022.
Improving the landing control capability of blended wing body configuration solar-powered UAVs by using swallow tail and distributed propellers
Authors: Wang Rui , Zhou Zhou , Lungu Mihai , Wang Zhengping
Published: November 2023

Aiming at the problem of weak yawing controllability of solar-powered
Unmanned Aerial Vehicles (UAVs) with low-speed and high aspect-ratio
Blended Wing Body (BWB) configuration, based on the large-scale
aerodynamic characteristics of the biomimetic swallow tail, the
influence of different opening methods and angles of the swallow tail on
the aerodynamic characteristics and stability and controllability of an
UAV was derived. The mechanism of the higher yawing control efficiency
of the differential throttle compared to the conventional rudder is
analyzed in order to significantly decrease the control efficiency at
small throttle. We innovatively propose a yawing control method
combining the opening of the swallow tail to a moderately separation
state of local airflow and we validate it for the case of the landing
control of a solar-powered UAV. The flight dynamics mode characteristics
show that this control method has little impact on the
lateral-directional stability of the UAV and that the control efficiency
can be reserved to the same level of cruise state. Therefore, the
control law of cruise state can be applied to landing state with swallow
tail open directly, which enhances the lateral-directional control
ability of the UAVs in a simple but efficiently way. Flight simulation
and flight test results show that the proposed bionic control method of
the swallow tail combined with differential throttle can effectively
enhance the landing control ability of the UAVs, improve the response
speed, and reduce the trajectory error.
Advancements in Pneumothorax Segmentation: A Comprehensive Review of Deep Learning Approaches
Authors: S Harish Nandhan , J Harshini , R Sowmia K
Published: November 2023

In recent years, deep learning has made significant advancements
in the computer-aided diagnosis for potentially life-threatening
pneumothorax, especially with the rise of public pneumothorax diagnosis
competitions using thousands of manually annotated chest X-rays. This
review demonstrates the quick evolution of deep learning in pneumothorax
diagnosis, offering innovative approaches to enhance accuracy, mitigate
bias, and advance medical image segmentation. These investigations
leverage deep learning, particularly the U-Net architecture with various
backbones like ResNet34, achieving notable Dice coefficients up to
0.8574. They also compare deep learning frameworks to human
radiologists, revealing similar diagnostic confidence. Innovative
techniques like UNet++ improve segmentation accuracy by incorporating
change maps and fusing outputs from different semantic levels. Notably,
they emphasize AI pneumothorax detection enhancement through in-image
annotations targeting the pleural separation, achieving an AUROC rating
of 0.877 while mitigating bias from factors like thoracic tubes. This
underscores the importance of high-quality in-image localization data
for AI algorithm training. Additionally, Ens4B-UNet, a novel semantic
segmentation model combining four U-Net architectures with pre-trained
backbones, achieves a Dice similarity coefficient of 0.8608 on a
challenging dataset. A two-stage deep learning approach secures the
second position in a pneumothorax segmentation challenge, leveraging
transfer learning and model architecture redesign (PTXNet) for a
significant Dice coefficient boost of 18.76%. The Kim-Monte Carlo
methodology employs small artificial neural networks for precise
pneumothorax localization, outperforming conventional CNNs. Finally, an
end-to-end deep learning framework featuring a fully convolutional
DenseNet demonstrates competitive segmentation and diagnostic
performance.