This study attempted to elaborate on the contribution of content marketing and live streaming on the TikTok platform to consumer purchase intentions of PT Soka Cipta Niaga fashion products. The approach adopted was quantitative with a descriptive-verification research style to identify phenomena while confirming the relationship between variables. The unit of analysis consisted of 100 respondents determined through purposive sampling techniques, namely TikTok users who had been exposed to promotional content or live streaming sessions and were familiar with the company's products. Data acquisition was carried out using a questionnaire instrument containing 24 indicators measured through a five-category Likert scale. Furthermore, empirical data were tabulated and analyzed using SPSS through validity tests, reliability, classical assumptions, linear regression, correlation coefficients, coefficients of determination, t-tests, and F-tests. The estimation results show that content marketing has a positive and significant contribution to purchase intention with a regression coefficient of 0.412 and a significance of 0.003. The live streaming variable also shows a positive and significant influence with a coefficient of 0.588 and a significance of 0.000. Collectively, both variables produce an F-value of 121.469 with a significance of 0.000. The correlation coefficient of 0.845 represents a very strong relationship, while the determination coefficient of 0.715 confirms that 71.5% of the dynamics of purchase intention are attributed to these two variables. Meanwhile, 28.5% of the variation in purchase intention is influenced by other factors outside the research model. These findings confirm that optimizing the quality of content marketing and implementing live streaming consistently can be a relevant digital marketing strategy for companies.
This research explores whether profit-generating capacity and financing structure indicators help account for changes in the market value of shares issued by IDX-listed firms operating in the Basic Materials sector between 2017 and 2024. The analysis focuses on Return on Assets (ROA), Return on Equity (ROE), and Debt to Equity Ratio (DER). Employing a quantitative approach, the study covers eight companies chosen under predetermined sampling criteria, resulting in 64 firm-year observations. Financial statement information and year-end share prices were used as secondary data and processed with IBM SPSS 26. The analytical procedure incorporated descriptive statistics, diagnostic assumption tests, multiple linear regression, individual and joint hypothesis testing, and determination analysis. The empirical evidence indicates that neither ROA nor ROE demonstrates a statistically meaningful relationship with share prices, as reflected in significance values of 0.882 and 0.872. DER, however, exhibits a significant positive relationship, with a significance value of 0.000. Collectively, the three indicators are statistically relevant in explaining share price movements, supported as evidenced by an F-value of 8.400 with a significance level of 0.000. The model explains 29.6% of the observed variation in share prices, as shown by an R Square of 0.296, while DER provides the strongest explanatory contribution among the variables considered.
Penelitian ini bertujuan menganalisis pengaruh Aktivitas Media Sosial dan Engagement Konten terhadap Kesadaran Merek pada PT. Awla Synergy Abadi. Penelitian menggunakan pendekatan kuantitatif dengan metode deskriptif dan verifikatif serta teknik purposive sampling. Data primer yang dianalisis berasal dari 100 responden pengguna Instagram yang mengetahui atau pernah berinteraksi dengan akun perusahaan. Instrumen terdiri atas 23 butir skala Likert 1-5. Hasil pengujian menunjukkan seluruh item valid dengan r hitung 0,624-0,900 > r tabel 0,197 dan seluruh variabel reliabel, yaitu Cronbach's Alpha X1 sebesar 0,915, X2 sebesar 0,886, dan Y sebesar 0,912. Rata-rata Aktivitas Media Sosial sebesar 4,297, Engagement Konten 4,469, dan Kesadaran Merek 4,452, seluruhnya berkategori sangat baik. Persamaan regresi yang diperoleh adalah Y = 0,186 + 0,488X1 + 0,485X2. Secara parsial, Aktivitas Media Sosial berpengaruh positif dan signifikan terhadap Kesadaran Merek (t = 7,742; p < 0,001), demikian pula Engagement Konten (t = 6,933; p < 0,001). Secara simultan kedua variabel berpengaruh signifikan (F = 227,773; p < 0,001) dengan R² sebesar 0,824. Dengan demikian, H1, H2, dan H3 diterima.
Publicly listed firms on the Indonesia Stock Exchange in the transportation and logistics industry during the 2017-2024 period will have their net income analyzed together with the effects of sales, operating expenses, and production costs. “The researchers in this study used a quantitative strategy that combined descriptive and verification methods. Thirteen firms with a total of one hundred forty-four firm-year observations made up the sample, which was decided upon by means of purposive sampling. The data was analyzed using a variety of statistical tools within IBM SPSS Statistics 26, including t-tests, F-tests, correlation analysis, classical assumption tests, multiple linear regression, and coefficient of determination. The results demonstrate that production costs significantly and negatively impact net income (-0.172 regression coefficient, p<0.001). A negative and statistically significant effect of operating expenses is -0.362, but a positive and statistically significant effect of sales is 0.392 on net income. With an F-value of 72.702, net income is highly affected by sales, manufacturing expenses, and operating costs all at once.” The three independent variables account for 68.6% of the variance in net income, according to the coefficient of determination. According to these results, boosting sales while keeping costs in check is crucial for a company's bottom line.
This study examines the effects of brand image, price, and product quality on the purchase decisions of Jojo Coffee consumers in Bandung. The research design is quantitative, descriptive-verificative, and cross-sectional with a target of 100 respondents. To complete the manuscript reporting format while the original respondent dataset is not available in the source documents, the numerical results in this draft are based on a simulated 100-response Likert dataset and must be replaced with actual survey output before journal submission. The simulated instrument is valid and reliable, the regression residuals meet normality, multicollinearity, and heteroskedasticity assumptions, and the model produces R = 0.724 and R² = 0.524. Brand image (B = 0.355; p = 0.016), price (B = 0.546; p < 0.001), and product quality (B = 0.613; p < 0.001) show positive significant partial effects, while the simultaneous model is significant (F = 35.294; p < 0.001). Product quality has the largest standardized contribution (β = 0.483).
Andre Suryaningprang, Aqilla Fadia Haya, NunungAyuSofianti, Yoyo Sudaryo
Penelitian ini menguji pengaruh implementasi Sistem Layanan Informasi Keuangan (SLIK), kualitas analisis kredit, dan pengawasan kredit terhadap rasio Non-Performing Loan (NPL) pada PT Bank Negara Indonesia (Persero) Tbk. Penelitian menggunakan pendekatan kuantitatif dengan analisis deskriptif dan verifikatif. Analisis verifikatif menggunakan 95 observasi terpasang pada tingkat unit atau portofolio kredit. Implementasi SLIK, kualitas analisis kredit, dan pengawasan kredit diukur melalui kuesioner skala Likert, sedangkan NPL diukur menggunakan rasio NPL yang terdokumentasi pada unit atau portofolio yang sama. Data NPL BNI periode 2016–2025 digunakan hanya sebagai konteks deskriptif historis. Analisis data meliputi uji validitas dan reliabilitas, uji asumsi klasik, regresi linear berganda, uji t, dan uji F dengan SPSS 26. Nilai rata-rata implementasi SLIK, kualitas analisis kredit, dan pengawasan kredit masing-masing sebesar 4,22; 4,17; dan 4,16. Ketiga variabel berpengaruh negatif dan signifikan terhadap NPL, yaitu SLIK (B = -0,328; p = 0,003), kualitas analisis kredit (B = -0,415; p = 0,001), dan pengawasan kredit (B = -0,287; p = 0,004). Secara simultan, model signifikan (F = 83,702; p < 0,001) dengan R = 0,857 dan R² = 0,734. Temuan menunjukkan bahwa peningkatan kualitas informasi debitur, penilaian kredit, dan pengawasan pascapencairan secara terpadu berkaitan dengan tingkat NPL yang lebih rendah.