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Record W3045893911 · doi:10.35972/jieb.v6i2.330

PENGARUH KUALITAS DAN HARGA PERUMAHAN KOTA CITRA GRAHA TERHADAP MINAT BELI MASYARAKAT

2020· article· en· W3045893911 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Ilmiah Ekonomi Bisnis · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsLikert scaleBusinessQuality (philosophy)Scale (ratio)PurchasingMarketingProduct (mathematics)AdvertisingGeographyMathematicsStatistics

Abstract

fetched live from OpenAlex

Abstract, 
 The main objective in this study is to examine and analyze (1) the effect of quality and price on people's buying interest in Citra Graha City housing. (2) the effect of quality on people's buying interest in Citra Graha City housing. (3) the effect of prices on people's buying interest in Citra Graha City housing. (4) To see which variable has greater influence on people's buying interest in Citra Graha City housing. 
 The targets in this study include (1) To be able to see how much influence the two variables in this study are quality and price in influencing public buying interest in Citra Graha City housing. (2) Being a reference material for consumers to be able to determine the purchasing policy after knowing about the quality and price set by the City of Citra Graha. (3) From the results of this study, it can be used as a reference as a policy making in product pricing strategies. (4) Making the results of this research as textbook reference material, especially in the field of marketing management. 
 This research was conducted with a quantitative method and using the analysis method with SPSS Windows For Data as a data analysis tool. To facilitate the justification, a 5-point Likert scale is used. Likert scale is a scale used in questionnaires to facilitate respondents in answering questions, then respondents answer questions in accordance with the code in the questionnaire. Before testing with regression analysis, the research data were tested with a classic assumption test consisting of: normality test, heterokedasticity test, and multicollinearity test. Then for simultaneous hypothesis testing using the F test, and for partial hypothesis testing using the t test. Meanwhile, to determine the most dominant variable affecting the level of employee job satisfaction using the standardized coefficient beta. 
 Based on the results of the study it can be found that the variable of quality and price is very significant in influencing the buying interest of consumers or prospective consumers to be able to purchase housing units in the City of Citra Graha, this can be proven with a probability level of more than 0.05 or less than 5%. In addition to the level of probability can also be proven by table 5.8 it turns out that F count is greater (33,108) than F table (2.3092), so the decision is to reject H0 and accept Ha, which means the variables X1, X2 together affect the consumer's buying interest will the purchase of housing units in the City of Citra Graha. Job Characteristics Variable has a significant and positive effect on the level of employee job satisfaction with a significance level of 0.473 or 47.3%. This means that if the characteristics of this work are considered it will increase employee job satisfaction by 47.3%.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.238
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it