Abstract:This study examines the impact of ethical leadership, innovation adoption, and creativity on company performance within Indonesia's fast-fashion industry. As the industry faces increasing scrutiny regarding sustainability…
y and social responsibility, understanding the relationships between these organizational capabilities becomes crucial for competitive advantage. Using a quantitative methodology, this research employed saturated sampling of 87 managers from fast-fashion companies across major Indonesian cities including Jakarta, Bandung, Surabaya, and Medan. Data were analyzed using SmartPLS 4.0 through Partial Least Squares Structural Equation Modeling (PLS-SEM). The measurement model demonstrated strong reliability and validity, with all constructs exceeding recommended thresholds for Cronbach's Alpha (0.832-0.873), Composite Reliability (0.883-0.911), and Average Variance Extracted (0.603-0.671). Discriminant validity was confirmed through Fornell-Larcker criterion and HTMT ratios below 0.85. The findings reveal that ethical leadership, innovation adoption, and creativity function as complementary organizational resources that collectively enhance company performance rather than operating in isolation. These results provide empirical evidence for the synergistic effects of leadership behavior, technological orientation, and creative capacity in driving organizational success. The study contributes to management literature by demonstrating the integrated nature of these capabilities and offers practical guidance for fast-fashion companies seeking sustainable competitive advantage through ethical practices, systematic innovation, and creative organizational cultures.
Abstract:This study examines the implementation of customer-driven excellence strategy in the Umrah travel industry in Depok City by investigating the relationships between service quality, brand credibility, perceived value, and…
customer-driven excellence outcomes. Using a quantitative research approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from 105 customers who have utilized Umrah travel services within the past two years. The measurement model demonstrated excellent reliability and validity, with all constructs meeting stringent psychometric criteria for convergent and discriminant validity. The structural model reveals that all three hypotheses are strongly supported, with brand credibility emerging as the most influential factor (β = 0.398, p < 0.001), followed by perceived value (β = 0.356, p < 0.001) and service quality (β = 0.285, p < 0.001). The integrated model explains 74.2% of variance in customer-driven excellence, demonstrating strong explanatory power and large predictive relevance (Q² = 0.486). These findings provide empirical evidence that successful customer-driven excellence strategy requires integrated approaches prioritizing brand credibility development while simultaneously enhancing perceived value and service quality. The study offers valuable insights for Umrah travel operators seeking to optimize competitive advantage through comprehensive customer excellence strategies that address both functional and emotional dimensions of religious tourism services.
Abstract:This research was conducted in order to determine or to re-examine the performances of broiler chickens fed ration containing cinnamon bark powder (Cinnamomum burmannii). Eighty of CP 707 broiler chickens aged of 2 weeks…
ks were used and kept until 6 weeks old. Completely Randomized Design with 5 treatments and 4 replications each treatment was used in this study; the treatments used were, T0= 100% basal ration without cinnamon bark powder (CBP), T1= 99.5% basal ration + 0.5% CBP, T2= 99% basal ration + 1% CBP, T3= 98.5% basal ration + 1.5 % CBP, and T4= 98% basal ration + 2% CBP. The measurements taken were feed consumption, weight gain, feed conversion, and final body weight. The results of analysis of variance (ANOVA) and Duncan test showed that, giving cinnamon bark powder up to 2% in the ration had an effect on CP 707 broiler chickens aged 2-6 weeks; had a very significantly different effect (P<0.01) on body weight gained and so, on final body weight; and significantly different (P <0.05) on feed conversion, but not on feed consumption. In this study, the higher the level of CBP in the ration, the weight gained and final body weight decreased but feed conversion increased. Based on the results of the analysis and discussion, it can be concluded that giving cinnamon bark powder as a natural feed additive up to 2% in the feed did not improve the performance of CP 707 broiler chickens, because of weight gained and final body weight of the chickens decreased, while, feed conversion increased, which means that, economically it was not getting better.
Abstract:The rapid diffusion of Buy-Now-Pay-Later (BNPL) services has reshaped consumption in emerging economies. This article examines how materialistic value orientations stimulate impulsive buying through BNPL usage among Indonesian…
donesian PayLater users. A cross-sectional survey of 670 respondents was analysed with partial least-squares structural-equation modelling (PLS-SEM). Materialism had a strong positive effect on BNPL adoption (β = 0.762) and a moderate direct effect on impulsive buying (β = 0.350). BNPL, in turn, exerted a substantial impact on impulsive buying (β = 0.480) and partially mediated the materialism–impulsivity link (indirect β = 0.366). The model explained 65% of BNPL variance and 72% of impulsive buying variance, while exhibiting acceptable fit indices (SRMR = 0.035; NFI = 0.885). Findings highlight BNPL’s dual role as a financial innovation and a behavioural catalyst, raising implications for platform design, consumer literacy programmes, and regulatory oversight.
Abstract:The purpose of this study is to determine the significance level of the effect of using hand puppet media on the speaking skills of second-grade students at MI As-Syafi’iyah 10 Gunung Sindur. This research employed a quasi-experimental…
uasi-experimental method with a quantitative approach. The sampling technique used was non-random purposive sampling, with two classes selected as samples, each consisting of 32 students. The data collection technique used in this study was an oral test instrument, designed using a non-equivalent control group design. The results showed that the average score of the experimental class was 45.31 in the pre-test and 67.81 in the post-test. Meanwhile, the control class scored an average of 44.84 in the pre-test and 46.56 in the post-test. The data were tested for normality and found to be normally distributed. The homogeneity test results showed a significance value of 0.308 > 0.05, indicating that the data are homogeneous or have the same variance. The findings revealed that the use of hand puppet media had a significant effect on students' speaking skills. The hypothesis testing using a Paired Sample T-Test showed a significance level of 0.000 < 0.05, indicating that the result is statistically significant. Therefore, the null hypothesis (H₀) is rejected, and the alternative hypothesis (H₁) is accepted, meaning there is a significant difference in students’ speaking skills before and after being taught using hand puppet media.
Abstract:The data analysis techniques used in this research are descriptive analysis techniques and inferential statistics which use the validity test formula, reliability test, normality test, multicollinearity test, heteroscedasticity…
sticity test, multiple linear regression, t test, F test and coefficient of determination. The research results concluded that training partially influences work performance with a calculated t value of 5.085> t table 2.009 and a sig value of 0.000 < 0.05. Partially, competency has no effect on work performance with a calculated t value of 0.223 < t table 2.009 and a sig value of 0.824 > 0.05. Simultaneously training and competency influence performance. This can be seen from the F test results which show that the calculated F value is 27.522> F table 3.18 and the sig value is (0.000 <0.05). Then it was discovered that based on the coefficient of determination test, the adjusted R square value was 0.510 or 51%. This can be explained by the fact that the training and competency variables have 51% of the ability to explain the work performance variable and there is still 49% of the variance explained by other variables.
Abstract:This study is motivated by the importance of understanding the factors that influence employee performance within governmental organizations, particularly in the National Unity and Political Agency (Bakesbangpol) of Denpasar…
asar City. The primary objective of this research is to analyze the effects of organizational culture and work discipline on employee performance, while also examining the mediating role of work motivation. Employing a quantitative approach and path analysis method, the study involved all employees of Bakesbangpol Denpasar using a saturated sampling technique. The findings reveal that organizational culture does not have a significant direct effect on employee performance, whereas work discipline exerts a positive and significant influence. Work motivation emerges as a crucial factor affecting performance, with a path coefficient of β = 0.440 and a significance value of 0.000. Although organizational culture significantly influences work motivation, it does not directly impact performance. In contrast, work discipline does not significantly affect motivation. Notably, work motivation significantly mediates the relationship between organizational culture and employee performance, but not the relationship between work discipline and performance. These findings underscore the pivotal role of work motivation as a mediating variable that enhances the impact of organizational culture on performance improvement. With an R value of 0.695 and an Adjusted R² of 0.683, the model explains 68.3% of the variance in employee performance, with the remaining 31.7% attributed to other factors outside the model. The novelty of this study lies in mapping the structural relationships among organizational culture, work discipline, and motivation as a mediating variable within the context of a local governmental institution an area that has been empirically understudied.
Abstract:Abstract: The rapid development of information technology has increased the demand for high-quality software, necessitating a structured development process. ISO/IEC/IEEE 12207:2017 serves as an international standard encompassing…
compassing organizational, technical, and project support processes, differing from ISO 9001, which focuses more generally on quality management. This study employs a Multi-Criteria Decision Making (MCDM) approach by integrating the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). AHP determines the weight of ISO 12207:2017 criteria through pairwise comparisons, while TOPSIS ranks software development activities based on these weights. To validate the results, Analysis of Variance (ANOVA) is applied. The findings indicate that the Software Requirements Definition Process has the highest priority weight (0.169), followed by Implementation (0.101) and Operation (0.095). Software Configuration Management is identified as the most critical activity with the highest TOPSIS score (0.221). ANOVA confirms the reliability of expert evaluations, showing no significant differences. This study provides a structured decision-making framework based on ISO 12207:2017, helping optimize software project management while ensuring alignment with international standards and industry best practices.
Keywords: AHP; TOPSIS; ANOVA; ISO 12207:2017
Abstrak: Perkembangan teknologi informasi meningkatkan permintaan perangkat lunak berkualitas tinggi, sehingga diperlukan proses terstruktur dalam pengembangannya. ISO/IEC/IEEE 12207:2017 menjadi standar internasional yang mencakup proses organisasi, teknis, dan pendukung proyek, berbeda dengan ISO 9001 yang lebih umum pada manajemen kualitas. Penelitian ini menggunakan Multi-Criteria Decision Making (MCDM) dengan mengintegrasikan Analytic Hierarchy Process (AHP) dan Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). AHP menentukan bobot kriteria ISO 12207:2017 melalui perbandingan berpasangan, sementara TOPSIS memeringkat aktivitas pengembangan berdasarkan bobot tersebut. Untuk validasi, Analysis of Variance (ANOVA) diterapkan. Hasil penelitian menunjukkan bahwa Proses Definisi Kebutuhan Perangkat Lunak memiliki bobot tertinggi (0,169), diikuti Implementasi (0,101), dan Operasi (0,095). Manajemen Konfigurasi Perangkat Lunak menjadi aktivitas paling kritis dengan skor TOPSIS tertinggi (0,221). ANOVA mengonfirmasi keandalan penilaian para ahli tanpa perbedaan signifikan. Penelitian ini memberikan kerangka kerja pengambilan keputusan berbasis ISO 12207:2017, membantu optimalisasi manajemen proyek perangkat lunak, serta memastikan keselarasan dengan standar internasional dan praktek terbaik industri.
Kata kunci: AHP; TOPSIS; ANOVA; ISO 12207:2017
Abstract:Abstract: By leveraging digital technology, Laporkitong enhances transparency and accountability, as well as facilitates public participation in the oversight and enforcement processes related to land use and natural resource…
ource management. The Laporkitong website functions as an online reporting application aimed at documenting instances of spatial planning violations in the West Papua Province. The lack of public knowledge about the Laporkitong application has led to numerous issues. Therefore, an analysis of the adoption of the Laporkitong application is necessary. This study aims to investigate the influence of Perceived Quality, Perceived Control, and Perceived Ease of Use factors as determinants of the residents' willingness to use the Laporkitong application, employing the Technology Acceptance Model (TAM) and DeLone and McLean IS Success (IS D&M) theories. As many as 160 valid respondents are gathered based purposive sampling technique and evaluated using Partial Least Square Structural Equation Modeling (PLS-SEM). The results inform that all seven hypotheses are accepted with the R-square of the intention to use is 0.273 indicationg 27.3% variance of the model can determine the outcome. Further discussion and conclusion regarding the implication of theoretical and practical contribution are also discussed.
Keywords: laporkitong; perceived control; perceived ease of use; perceived quality; technology acceptance model
Abstrak: Dengan memanfaatkan teknologi digital, Laporkitong meningkatkan transparansi dan akuntabilitas, serta memfasilitasi partisipasi publik dalam proses pengawasan dan penegakan terkait penggunaan lahan dan pengelolaan sumber daya alam. Website Laporkitong berfungsi sebagai aplikasi pelaporan online yang bertujuan untuk mendokumentasikan pelanggaran perencanaan tata ruang di Provinsi Papua Barat. Minimnya pengetahuan masyarakat terhadap aplikasi Laporkitong menyebabkan banyak permasalahan. Maka dari itu perlu dilakukan analisis mengenai adopsi pada aplikasi Laporkitong. Penelitian ini bertujuan untuk menyelidiki pengaruh faktor Kualitas yang Dirasakan, Kendali yang Dirasakan, dan Kemudahan Penggunaan yang Dirasakan sebagai penentu keinginan penduduk untuk menggunakan aplikasi Laporkitong, dengan menggunakan Model Penerimaan Teknologi (TAM) dan teori Kesuksesan Sistem Informasi (IS D&M) DeLone dan McLean. Sebanyak 160 responden valid dikumpulkan berdasarkan teknik purposive sampling dan dievaluasi menggunakan Partial Least Square Structural Equation Modeling (PLS-SEM). Hasilnya menunjukkan bahwa semua tujuh hipotesis diterima dengan R-square niat untuk menggunakan adalah 0,273, menunjukkan bahwa 27,3% variasi model dapat menentukan hasilnya. Diskusi lebih lanjut dan kesimpulan mengenai implikasi kontribusi teoritis dan praktis juga dibahas.
Kata kunci: laporkitong; pengendalian yang dirasakan; kemudahan penggunaan yang dirasakan; kualitas yang dirasakan; model penerimaan teknologi
Abstract:Abstract: The habit of smoking is dangerous because of the addictive substances that make cigarettes addictive. Its addictive nature poses a significant risk, affecting personality with stress, depression and nervous disorders.…
orders. Body factors that indicate smoking include blood sugar levels, dental caries, and hemoglobin. To address this, research has been conducted with focused efforts to understand and address the risks associated with smoking and its impact on overall health. This research aims to choose the best method for predicting smokers by using feature selection techniques. The feature selection algorithms uses for that are Analysis of Variance (ANOVA), Recursive Feature Elimination (RFE), and Genetic Algorithm (GA) to select optimal attributes and uses the k-fold cross validation technique as the validation of the Artificial Neural Network algorithm. The data includes various parameters such as age, height, weight, vision, blood pressure, cholesterol, triglycerides, hemoglobin, AST, ALT, GTP, gender, dental caries and tartar. Hearing ability, urine protein content, and tartar were selected. The results showed that using the Analysis of Variance method showed higher accuracy (77.101%) compared to the Genetic Algorithm method (74.64%) and the Recursive Feature Elimination method (76.08%). Selection of relevant attributes increases the predictions and insights of the Artificial Neural Network model about the effects of smoking on health.
Keywords: artificial neural network; analysis of variance; genetic algorithm; recursive feature elimination; smoker prediction
Abstrak: Kebiasaan merokok berbahaya karena adanya zat adiktif yang membuat rokok menjadi ketagihan. Sifatnya yang membuat ketagihan menimbulkan risiko yang signifikan, mempengaruhi kepribadian dengan stres, depresi, dan gangguan saraf. Faktor tubuh yang mengindikasikan kebiasaan merokok antara lain kadar gula darah, karies gigi, dan hemoglobin. Untuk mengatasi hal ini, penelitian telah dilakukan dengan upaya terfokus untuk memahami dan mengatasi risiko yang terkait dengan merokok dan dampaknya terhadap kesehatan secara keseluruhan. Penelitian ini bertujuan untuk memilih metode terbaik dalam memprediksi perokok dengan menggunakan teknik seleksi fitur. Metode seleksi fitur yang digunakan adalah Analysis of Variance (ANOVA), Recursive Feature Elimination (RFE), dan Genetic Algorithm (GA) untuk memilih atribut yang optimal dan menggunakan teknik k-fold cross validation sebagai validasi algoritma Artificial Neural Network. Data tersebut mencakup berbagai parameter seperti umur, tinggi badan, berat badan, penglihatan, tekanan darah, kolesterol, trigliserida, hemoglobin, AST, ALT, GTP, jenis kelamin, karies gigi dan karang gigi. Kemampuan pendengaran, kandungan protein urin, dan karang gigi dipilih. Hasil penelitian menunjukkan bahwa penggunaan metode Analysis of Variance menunjukkan akurasi yang lebih tinggi (77,101%) dibandingkan dengan metode Genetic Algorithm (74,64%) dan metode Recursive Feature Elimination (76,08%). Pemilihan atribut yang relevan meningkatkan prediksi dan wawasan model Jaringan Syaraf Tiruan tentang dampak merokok terhadap kesehatan.
Kata kunci: artificial neural network; analysis of variance; genetic algorithm; prediksi perokok; recursive feature elimination