bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS STRATEGI PROMOSI WORD OF MOUTH (WOM) DI CAFE FAMILY JERMAL MEDAN
Authors: Agustini Fauzia , Puddin Khafi , Siahaan Sabda Dian Nurani 
Published: July 2023

The purpose of this study is to determine whether consumers at Cafe family Jermal know about cafes based on Word of Mouth, the level of effectiveness of WOM that has been carried out so far at cafes and the factors that can affect WOM at cafe family jermal. The sample in this study amounted to 60 respondents. This research is quantitative descriptive. Data were collected through interviews, observations, questionnaires and literature study. The data analysis technique is descriptive using the SPSS program. The results showed that all respondents stated that they received information about the cafe family Jermal from people they knew. The increase in sales levels and the increase in the number of consumers at the cafe family Jermal indicate that the word of mouth promotion strategy has been running effectively. Consumers who have come to the cafe convey to people they know information about the cafe. This shows that the success of word of mouth is closely related to consumer satisfaction. Factors that affect word of mouth at the cafe family jermal are related to information about this cafe such as food and drinks (taste, price, type, and packaging), location (area of parking, location is not far), service (waiting time, hospitality of cafe waiters, responsiveness), cafe conditions (tidy, clean and comfortable).
Keywords: Promotion Strategy, WOM, Cafe Family Jermal

Tujuan penelitian ini untuk mengetahui apakah konsumen di Cafe family Jermal mengetahui tentang cafe berdasarkan Word of Mouth, tingkat keefektivan WOM yang telah dilakukan selama ini di cafe dan faktor-faktor yang dapat mempengaruhi wom di cafe familyJermal. Sampel pada penelitian ini berjumlah 60 responden. Penelitian ini merupakan penelitian deskriptif kuantitatif. Data dikumpulkan melalui wawancara, observasi, penyebaran angket dan studi kepustakaan. Teknik analisis data adalah deskriptif menggunakan program SPSS. Hasil penelitian menunjukkan semua responden menyatakan bahwa mereka mendapat informasi tentang cafe family jermal dari orang yang mereka kenal, Kenaikan tingkat penjualan dan bertambahnya jumlah konsumen di cafe family jermal menunjukkan bahwa strategi promosi word of mouth telah berjalan secara efektif. Konsumen yang pernah datang ke cafe menyampaikan kepada orang yang mereka kenal informasi tentang cafe. Ini menunjukkan bahwa keberhasilan word of mouth sangat erat kaitannya dengan kepuasan konsumen, Factor-faktor yang mempengaruhi word of mouth di cafe family jermal berhubungan dengan informasi tentang cafe ini seperti makanan dan minuman (rasa, harga, jenis, dan kemasan), lokasi (area parkir, lokasi tidak jauh), pelayanan (waktu menunggu, keramah tamahan pelayan cafe, cepat tanggap), kondisi cafe (rapi, bersih dan nyaman).
Kata kunci: Strategi Promosi, WOM, Cafe Family Jermal
PERBANDINGAN MODEL ALTMAN, SPRINGATE, DAN ZMIJEWSKI SEKTOR MANUFAKTUR INDONESIA
Authors: Ngangi Gloria , Soewignyo Fanny 
Published: July 2023

This study was conducted to evaluate the level of financial distress or bankruptcy of the manufacturing sector listed on the Indonesia Stock Exchange and to find the most accurate predictive model in predicting financial difficulties and bankruptcy. Researchers used 2015 data to measure the level of bankruptcy and then compared it to net profit (loss) in 2016-2019 to validate the accuracy of predictions. The three prediction models being compared were Altman Z-score, Springate, and Zmijewski. The results showed that the highest level of accuracy was the Altman Z-score model, the second was Springate, and the third was Zmijewski. The Altman model in this study showed that the most appropriate predictions were for the third year (2018) and fourth year (2019) with the highest level of accuracy (76.88%) compared to the second and first year. It is recommended for investors, creditors, and management of manufacturing sector companies to use the Altman Z-score prediction model in evaluating the probability of company bankruptcy in the third or fourth year from the prediction year.
Keywords: Altman Z-score, comparative analysis, manufacturing sector, Springate model, Zmijewski model
Penelitian ini dilakukan untuk mengevaluasi tingkat kesulitan keuangan atau kebangkrutan sektor manufaktur yang terdaftar di Bursa Efek Indonesia dan untuk menemukan model prediksi yang paling akurat dalam memprediksi kesulitan keuangan dan kebangkrutan. Peneliti menggunakan data tahun 2015 untuk mengukur tingkat kebangkrutan kemudian dibandingkan dengan laba (rugi) bersih pada tahun 2016-2019 untuk validasi keakuratan prediksi. Tiga model prediksi yang dibandingkan adalah Altman Z-score, Springate, dan Zmijewski. Hasil penelitian menunjukkan bahwa tingkat keakuratan tertinggi diperoleh dengan menggunakan model Altman Z-score, kedua adalah Springate, dan ketiga Zmijewski. Model Altman pada penelitian ini menunjukkan bahwa prediksi yang paling tepat dilakukan adalah untuk tahun ketiga (2018) dan keempat (2019) dengan tingkat keakuratan tertinggi (76.88%) dibandingkan dengan tahun kedua dan pertama. Disarankan bagi investor, kreditor, maupun manajemen perusahaan sektor manufaktur untuk dapat menggunakan model prediksi Altman Z-score dalam mengevaluasi kemungkinan kebangkrutan perusahaan di tahun ketiga atau keempat dari tahun prediksi.
Kata kunci: analisis komparatif, model Altman Z-score, model Springate, model zmijewski, sektor manufaktur
PENGARUH PENGALAMAN KERJA TERHADAP KINERJA KARYAWAN PADA KULINER BANDUNG BARAT
Authors: Grisang Rivo Perenji , Waty Lenita 
Published: July 2023

The purpose of this study is to determine the performance of employees in the West Bandung Culinary environment, as well as previous work experience. West Bandung Culinary is the place of research for this research. The research method used is descriptive/quantitative analysis, meaning that the research only focuses on disclosing an existing problem and trying to find a solution to that problem. Slovin-based sampling. This study uses observation, interviews, and questionnaires for data collection. Information was collected from 35 respondents to the questionnaire. analyzed with the help of SPSS 21 and Microsoft Excel 2013 for testing normality, partial (T), and the coefficient of determination. The research findings are as follows: The results of the simple regression test show that there is a positive and significant effect of work experience on performance, with a correlation coefficient of 0.458 and a coefficient of determination of 0.21. In addition, the regression equation KK=39.00+0.41 PK, and the significance level T with a value of 0.006. West Bandung culinary is influenced by this work experience.
Keywords: employee performance, work experience
Tujuan dari penelitian ini adalah untuk mengetahui kinerja pegawai di lingkungan Kuliner Bandung Barat serta pengalaman kerja sebelumnya. Kuliner Bandung Barat menjadi tempat penelitian untuk penelitian ini. Bahasan penelitian menggunakan metode analisis deskriptif dan kuantitatif, dimana fokusnya hanya pada penyelesaian suatu masalah yang sudah ada dan berusaha mencari solusi dari masalah tersebut. Pengambilan sampel berbasis Slovin. Penelitian ini menggunakan metode observasi, wawancara, dan kuesioner untuk pengumpulan data. Informasi dikumpulkan dari 35 responden untuk kuesioner. dianalisis dengan bantuan SPSS 21 dan Microsoft Excel 2013 untuk pengujian normalitas, parsial (T), dan koefisien determinasi. Temuan penelitian adalah sebagai berikut: Hasil uji regresi sederhana menunjukkan adanya pengaruh positif dan signifikan pengalaman kerja terhadap kinerja, dengan koefisien korelasi sebesar 0,458 dan koefisien determinasi sebesar 0,21. Selain itu, persamaan regresi KK = 39,00 + 0,41 PK, dan tingkat signifikansi T dengan nilai 0,006. Kuliner Bandung Barat dipengaruhi oleh pengalaman kerja tersebut.
Kata Kunci: kinerja karyawan, pengalaman kerja
Populismo en Europa: una respuesta democrática iliberal al liberalismo antidemocrático
Authors: Mudde Cas 
Published: July 2023

In this lecture, I lay out my approach to populism, which falls within the now dominant ‘ideational approach’ of populism, discuss the complex relationship between populism and politics, and identify some of the main causes of the ongoing ‘populist Zeitgeist’. My main arguments are, first, while populism is related to (real and perceived) ‘crises’, these so-called ‘crises’ are often catalysts rather than prime causes of the rise of populism; second, populism is essentially an illiberal democratic response to undemocratic liberalism; and third, populism can only be overcome by more rather than less liberal democracy. I illustrate my arguments on the basis of the recent rise of populism in Europe, but believe they also largely hold true beyond that specific regional and temporal context.
En esta conferencia, expongo mi enfoque sobre populismo, que se inscribe en el "enfoque ideacional" hoy dominante; discuto la compleja relación entre populismo y política, e identifico algunas de las principales causas del actual “populist Zeitgeist”. Mis principales argumentos son los siguientes: primero, aunque el populismo está relacionado con "crisis" (reales y percibidas), estas supuestas "crisis" son a menudo catalizadores más que causas principales del auge del populismo; segundo, el populismo es esencialmente una respuesta democrática no liberal al liberalismo no democrático; y tercero, el populismo sólo puede superarse con más democracia liberal y no con menos. Ilustro mis argumentos basándome en el reciente auge del populismo en Europa, pero creo que también son válidos en gran medida más allá de ese contexto regional y temporal específico.
Early root phenotyping in sweetpotato (Ipomoea batatas L.) uncovers insights into root system architecture variability
Authors: Duque Luis O. 
Published: July 2023

Background
We developed a novel, non-destructive, expandable, ebb and flow soilless phenotyping system to deliver a capable way to study early root system architectural traits in stem-derived adventitious roots of sweetpotato (Ipomoea batatas L.). The platform was designed to accommodate up to 12 stems in a relatively small area for root screening. This platform was designed with inexpensive materials and equipped with an automatic watering system.

Methods
To test this platform, we designed a screening experiment for root traits using two contrasting sweetpotato genotypes, ‘Covington’ and ‘NC10-275’. We monitored and imaged root growth, architecture, and branching patterns every five days up to 20 days.

Results
We observed significant differences in both architectural and morphological root traits for both genotypes tested. After 10 days, root length, surface root area, and root volume were higher in ‘NC10-275’ compared to ‘Covington’. However, average root diameter and root branching density were higher in ‘Covington’.

Conclusion
These results validated the effective and efficient use of this novel root phenotyping platforming for screening root traits in early stem-derived adventitious roots. This platform allowed for monitoring and 2D imaging of root growth over time with minimal disturbance and no destructive root sampling. This platform can be easily tailored for abiotic stress experiments, and permit root growth mapping and temporal and dynamic root measurements of primary and secondary adventitious roots. This phenotyping platform can be a suitable tool for examining root system architecture and traits of clonally propagated material for a large set of replicates in a relatively small space.
Farmers’ Purchasing Behaviour of Insecticides in Cumin (Cuminum cyminum) and Problems Faced by Farmers for Cumin in Dhrol Taluka of Jamnagar District, Gujarat, India
Authors: Vasoya Raj R. , Vahoniya Dilip R. , Rajwadi Alvira 
Published: July 2023

Background: In agriculture, the use of pesticide has been the dominant form of pest management since the early 1950s to control pest organisms including insects, fungi, weeds and nematodes. In recent times, use of pesticides in cumin cultivation has increased rapidly and this scenario contributes significant impact towards adverse effects on human health, environment and on overall bio-diversity as the cumin crop is among the major growing spices crop in India [1].
Methods: The data collection involved the use of a semi-structured schedule carried out through personal interview method for both cumin farmers and agri-input dealers. The research involved non-prabability sampling technique for primary data collection. The study was conducted in the area of Dhrol taluka of Jamnagar district. The collected data were analysed using various analytical methods, including tabular analysis, Pearson Chi-square test, Garrett's Ranking Technique, and Weighted Average Mean.
Finding: The findings indicate that the majority of respondents were middle-aged with a primary level of education. Most of the farmers had land holdings ranging from 1 to 2.5 hectares, and among them, the area dedicated to cumin cultivation was less than 1 hectare. These farmers had an average farming experience of 21 to 30 years. The majority of farmers primarily relied on farming as their occupation, with some also engaging in animal husbandry. In terms of annual income, most farmers earned between 1 to 5 lakh rupees. The study revealed that Price was the primary factor influencing the purchase of pesticides, followed by considerations of Quality and Brand name. Lack of access to credit facilities was identified as the major problem faced by farmers, alongside the high cost of inputs. Among the promotional activities, Demonstration was found to be the most influential in pesticide purchasing decisions, followed by Farmer meetings. For agri-input dealers, the major problems encountered were Low margins, Raising costs, and High competition.
Impact of TNAU-Water Soluble Fertilizers (TNAU-WSF) on Soil Nutrient Availability, Nutrient Content and Bulb Quality of Small Onion (Allium cepa var. aggregatum)
Authors: Vairavan C. , Thiyageshwari S. , Malarvizhi P. , Saraswathi T. , Teli K. G. , Pugazenthi K. 
Published: July 2023

Application of highly sustainable and productive inputs is required to increase food production in order to feed the growing world population while using the same amount of land. Thus, in its very first attempt, the Tamil Nadu Agricultural University (TNAU), Coimbatore, Tamil Nadu, has produced water soluble fertilisers (WSF) named as TNAU-Water Soluble Fertilizers (TNAU-WSF), and it is necessary to optimise on various crops. One of the most essential vegetables in Indian cuisine is the small onion, which has a high demand but a low productivity. The use of TNAU-WSF was initiated to improve small onion crop productivity and quality. Eight treatments were incorporated in a field experiment that was set up using a Randomised Block Design (RBD), including soil test-based applications (STB) of 75%, 100%, and 125% NPK ha-1 as TNAU-WSF, with and without sulphur (S) and TNAU liquid multi micronutrient (TNAU LMM) and the absolute control. With small onion (CO 4), each treatment was replicated three times. Soil test based application at higher nutrient level (125% NPK) recorded higher nutrient availability, plant nutrient content and enhanced bulb quality (crude protein and total sugars) of small onion. The correlation study revealed that treatments with higher nutrient availability had a high impact on nutrient content and bulb quality of small onion.
The Use of Machine Learning in Oil Well Petrophysics and Original Oil in Place Estimation: A Systematic Literature Review Approach
Authors: Johnson Ekemini , Obot Okure , Attai Kingsley , Akpabio Julius , Inyang Udoinyang 
Published: July 2023

Machine learning is a form of artificial intelligence that is applicable in all fields of study. It incorporates many algorithms used in carrying out various tasks such as classification, predictions, estimations, comparisons, approximations, optimization and selections. In estimating original oil in place, which affords the explorationist the foresight on the total amount of crude oil that is potentially in reservoir. Machine learning is found to perform reserves estimation with speed and accuracy where insufficient data are available. These among other attributes of Machine Learning motivated a systematic literature review of studies undertaken between 2010 and 2021 and explore the strengths and limitations reported in the studies. In the oil industry, different types of data are gathered from subsurface and surface in order to know the reservoir hydrocarbon potential. Sensorsare known to be able to collect these data in large quantity, analyse and used to predict the output.3127 articles related to the study were collated from 4 databases and after a series of inclusion and exclusion criteria were conducted on the articles, 104 journal articles met the criteria and were used for the review. Results of the study reveal that between the years under review, 2019 had the greatest number of articles (20 of the 104) pertaining to the topic reviewed. 61% of authors reported inadequate data while 39 % reported under-performance of the algorithm. It was also revealed that machine learning was applied to perform predictions/forecasting in the industry than it was used to solve other problems, while Artificial Neural Network (ANN) was the most used artificial intelligence technique. The study opens another vista of knowledge for researchers to navigate machine learning in the estimation of original oil in place and petrophysics analysis. This emerging technology is smart and makes data evaluation easy and straightforward.
Self-Help Habit Replacement in Individuals With Body-Focused Repetitive Behaviors
Authors: Moritz Steffen , Penney Danielle , Missmann Franziska , Weidinger Sarah , Schmotz Stella 
Published: July 2023

ImportanceBody-focused repetitive behaviors (BFRBs; eg, skin picking) encompass a set of conditions at the interface of dermatology and psychiatry/psychology. The disorder is prevalent but currently underdiagnosed and undertreated.ObjectiveTo compare a new self-help intervention, habit replacement, against a wait-list control condition for the treatment of BFRBs.Design, Setting, and ParticipantsThis randomized clinical trial was conducted online in 2022. Participants were a population-based nonclinical sample with BFRBs and were recruited via social media. Initially, 481 individuals entered the assessment; 213 were excluded blind to results. A final sample of 268 participants were randomized. The intervention period was 6 weeks.InterventionsParticipants were randomized to a self-help intervention, habit replacement, or a wait-list control condition (each n = 134).Main Outcomes and MeasuresThe Generic BFRB Scale-45 (GBS-45, self-report) represented the primary outcome.ResultsIndividuals in the 2 conditions (n = 268; 241 [89.9%] women; mean [SD] age, 36.8 [11.1] years; skin picking, 68.3%; trichotillomania, 28.4%; nail biting, 36.6%; lip-cheek biting, 26.1%; other, 20.1%) did not differ on any baseline characteristics. The experimental group significantly improved on the primary outcome (GBS-45) for both the per-protocol (technique was used at least once weekly, ηp2 = 0.068, P = .001) and the intention-to-treat analyses relative to the wait-list control group (expectation–maximization algorithm; ηp2 = 0.019, P = .02). The interaction of group and time yielded statistical trends in favor of the experimental condition only on the Patient Health Questionnaire-9 and quality of life. For the Clinical Global Impressions scale, more individuals in the habit replacement group reported improvement (52.8% vs 19.6%; P &amp;lt; .001). User satisfaction in the habit replacement group was high. Moderation analyses that included all baseline variables showed that those who exhibited nail biting particularly benefited from the new technique.Conclusions and RelevanceThe present proof-of-concept randomized clinical trial tentatively demonstrates that habit replacement is a feasible and effective self-help strategy against BFRBs, especially for nail biting. Study limitations include the lack of external assessment and verified diagnoses. In addition, the study is missing follow-up data. Self-help habit replacement shows promise in reducing BFRBs but not concomitant symptoms.Trial RegistrationGerman Clinical Trials Register Identifier: DRKS00030511
Intersectional Prevalence of Suicide Ideation, Plan, and Attempt Based on Gender, Sexual Orientation, Race and Ethnicity, and Rurality
Authors: Forrest Lauren N. , Beccia Ariel L. , Exten Cara , Gehman Sarah , Ansell Emily B. 
Published: July 2023

ImportanceSuicidal thoughts and behaviors (STBs) are major public health problems, and some social groups experience disproportionate STB burden. Studies assessing STB inequities for single identities (eg, gender or sexual orientation) cannot evaluate intersectional differences and do not reflect that the causes of inequities are due to structural-level (vs individual-level) processes.ObjectiveTo examine differences in STB prevalence at the intersection of gender, sexual orientation, race and ethnicity, and rurality.Design, Setting, and ParticipantsThis cross-sectional study used adult data from the 2015-2019 National Survey on Drug Use and Health (NSDUH), a population-based sample of noninstitutionalized US civilians. Data were analyzed from July 2022 to March 2023.Main Outcomes and MeasuresOutcomes included past-year suicide ideation, plan, and attempt, each assessed with a single question developed for the NSDUH. Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) models were estimated, in which participants were nested within social strata defined by all combinations of gender, sexual orientation, race and ethnicity, and rurality; outcome prevalence estimates were obtained for each social stratum. Social strata were conceptualized as proxies for exposure to structural forms of discrimination that contribute to health advantages or disadvantages (eg, sexism, racism).ResultsThe analytic sample included 189 800 adults, of whom 46.5% were men; 53.5%, women; 4.8%, bisexual; 93.0%, heterosexual; 2.2%, lesbian or gay; 18.8%, Hispanic; 13.9%, non-Hispanic Black; and 67.2%, non-Hispanic White. A total of 44.6% were from large metropolitan counties; 35.5%, small metropolitan counties; and 19.9%, nonmetropolitan counties. There was a complex social patterning of STB prevalence that varied across social strata and was indicative of a disproportionate STB burden among multiply marginalized participants. Specifically, the highest estimated STB prevalence was observed among Hispanic (suicide ideation: 18.1%; 95% credible interval [CrI], 13.5%-24.3%) and non-Hispanic Black (suicide plan: 7.9% [95% CrI, 4.5%-12.1%]; suicide attempt: 3.3% [95% CrI, 1.4%-6.2%]) bisexual women in nonmetropolitan counties.Conclusions and RelevanceIn this cross-sectional study, intersectional exploratory analyses revealed that STB prevalence was highest among social strata including multiply marginalized individuals (eg, Hispanic and non-Hispanic Black bisexual women) residing in more rural counties. The findings suggest that considering and intervening in both individual-level (eg, psychiatric disorders) and structural-level (eg, structural discrimination) processes may enhance suicide prevention and equity efforts.