Abstract:This study aims to analyze the influence of financial literacy on financial behavior and financial management in Micro, Small, and Medium Enterprises (MSMEs) in Pasar Village, Gunungsitoli District. The background of the…
study indicates that MSMEs have a crucial role in the Indonesian economy, but many MSMEs still face challenges in financial management due to a lack of financial literacy. This study used a quantitative approach by distributing questionnaires to 158 MSMEs in the area. The results of the analysis indicate that financial literacy has a positive and significant influence on both financial behavior and financial management of MSMEs. MSMEs with higher levels of financial literacy tend to exhibit healthier financial behaviors, such as the ability to manage expenses, create budgets, and save. Similarly, good financial literacy significantly improves MSMEs' abilities in planning, recording, reporting, and evaluating business finances. Multivariate analysis confirmed that financial literacy simultaneously significantly influences both aspects. The high coefficient of determination (80.7% for financial behavior and 83.7% for financial management) indicates that financial literacy is a dominant factor in explaining variation in both dependent variables.
Abstract:Inflation is a fundamental measure of macroeconomic stability that negatively impacts the nation's economy and affects many other macroeconomic variables. Thus, in this study, the major objective was based on modeling and…
d forecasting inflation in Ethiopia and its components using a VAR model. The analysis was based on annual data from 1992 to 2021, encompassing 30 years. The results indicated that all five series were non-stationary at the level but stationary after their first differencing at a 5% level of significance. Johansen's cointegration tests were conducted. The results indicated the presence of at least one co-integration relationship between the variables. The Vector Error Correction Model (VECM) was fitted to model short run and long run relationships among inflation and other macro-econometric series such as GDP growth, government expenditure, money supply, and imports, and the result indicated that the coefficient of error correction term is negative (-0.279), which indicated that the fitted VECM model continues to move toward long run equilibrium and converges. Granger causality tests were employed to explore potential causal relationships. Impulse response analysis and variance decomposition were used to determine the short-run interactions among the variables. Finally, using the fitted model, out-of-sample forecasts were produced, yielding forecasted plots and values for the endogenous variables. According to the forecasted inflation rates for the next five years, prices are projected to decrease by approximately 18.0% in 2022, 6.8% in 2023, and then increase by approximately 8.3% in 2024. Subsequently, prices are expected to decrease by approximately 2% in 2025 and 5% in 2026 over the specified time periods.
Abstract:The purpose of this study is to reveal the extent to which product quality, price and promotion can increase the purchase decision for Chocolatos Drink at PT. Garuda Foods, Tbk Depo Cianjur. The research method is the Associative…
sociative method. Where the population is the Shop Owners who are Customers of Chocolatos drink PT. Garuda Foods, Tbk Depo Cianjur who made transactions during January 2024 to May 2024 as many as 162 people, and the sample size uses the Slovin formula with an error rate of 10% so that the number of samples becomes 62 people with the Simple Random Sampling Technique. This study goes through the stages determined such as data quality testing, data prerequisite testing and data analysis to hypothesis testing with the multivariate regression analysis method. The results of the hypothesis analysis, both partially and simultaneously, product quality, price and promotion have a positive and significant influence on purchasing decisions for Chocolatos Drink at PT. Garuda Foods, Tbk Depo Cianjur
Abstract:Anemia is a medical condition where the number of red blood cells or hemoglobin levels in the blood is below normal, which is a protein in red blood cells that functions to carry oxygen from the lungs to the entire body.…
The prevalence of anemia in pregnant women in Sintang Regency showed that in 2017 there were 116 cases, in 2018 there were 121 cases, and in 2019 there were 164 cases. This research method uses a quantitative analytical approach with a cross-sectional design in Sintang Regency. The population is all pregnant women registered as many as 369 respondents within the scope of the Health Center services in Sintang Regency during the data collection period. The simple random sampling technique was used to select respondents, with a sample size of 192 pregnant women after calculating the population size. The results showed that there was a relationship between knowledge with a p value = 0.000 and OR = 6.900, parity with a p value = 0.000 and OR = 5.040, consumption of iron tablets with a p value = 0.000 and OR = 5.271 with the incidence of anemia in pregnant women in Sintang Regency. The most dominant multivariate test result is knowledge with OR = 7.25 followed by consumption of iron tablets with OR = 4.61 and parity with OR = 4.26. The conclusion related to the incidence of anemia in pregnant women is knowledge, parity, and consuming iron tablets and the most dominant is knowledge and followed by consumption of iron tablets, and parity. It is recommended that pregnant women can improve their knowledge, multi and grandi para pregnant women to comply with consuming iron tablets routinely.
Abstract:Abstract: This study aims to analyze the influence of gender on user responses to social media strategies on the Instagram platform by utilizing data science techniques. The methodology includes collecting user interaction…
on data based on gender, statistical analysis, and applying machine learning algorithms to identify response patterns. The results reveal significant differences in how male and female users respond to social media content and campaigns, affecting marketing strategy effectiveness. Data science analysis showed that the K-Means Clustering method segmented users into three groups based on interaction patterns, with female users showing the highest engagement rate (18%) compared to male users (12%). The Decision Tree model identified gender as the most dominant predictor of engagement (40%), followed by user growth (25%) and content type (20%). The Random Forest model validated that gender-targeted strategies increased marketing effectiveness by up to 22%. Multivariate regression revealed a positive effect of female user proportion (+0.45) and a negative effect of male user proportion (−0.12) on engagement. In conclusion, a deeper understanding of gender-based response differences can assist companies in designing more targeted social media strategies and enhancing engagement.
Keywords: gender; social media response; instagram; data science; marketing strategy
Abstrak: Penelitian ini bertujuan untuk menganalisis bagaimana pengaruh gender memengaruhi respons pengguna terhadap strategi media sosial di platform Instagram dengan memanfaatkan teknik data sains. Metode yang digunakan meliputi pengumpulan data interaksi pengguna berdasarkan gender, analisis statistik, dan penerapan algoritma machine learning untuk mengidentifikasi pola respons. Hasil penelitian menunjukkan adanya perbedaan signifikan dalam cara pengguna laki-laki dan perempuan merespons konten dan kampanye media sosial, yang berdampak pada efektivitas strategi pemasaran. Analisis data sains menunjukkan bahwa metode K-Means Clustering berhasil mengelompokkan pengguna ke dalam tiga segmen berdasarkan pola interaksi, dengan segmen perempuan menunjukkan tingkat engagement tertinggi (18%) dibandingkan laki-laki (12%). Model Decision Tree mengidentifikasi gender sebagai faktor paling dominan terhadap engagement dengan kontribusi sebesar 40%, disusul oleh pertumbuhan pengguna (25%) dan jenis konten (20%). Random Forest memvalidasi bahwa strategi yang disesuaikan berdasarkan gender meningkatkan efektivitas pemasaran hingga 22%. Regresi multivariat menunjukkan bahwa proporsi pengguna perempuan berkontribusi positif sebesar 0,45 poin terhadap engagement, sedangkan pengguna laki-laki berkontribusi negatif sebesar -0,12. Kesimpulannya, pemahaman mendalam tentang perbedaan respons berdasarkan gender dapat membantu perusahaan dalam merancang strategi media sosial yang lebih tepat sasaran dan meningkatkan engagement.
Kata kunci: gender; respons media sosial; instagram; data sains; strategi pemasaran
Abstract:Abstract: that the number of catches obtained by fishermen is more optimal. With secondary data based on the type of cultivation developed by fishing communities, the authors intend to explore this data so that they can…
examine more deeply the most effective types of cultivation using analysis of variance to find out the differences between each type of cultivation and cluster analysis using the complete linkage method. to find out the grouping of marine culture production based on the types developed by fishing communities in Indonesia. The correlation between the observed variables is 0.008, so it can be said that there is no relationship between the observed variables. In addition, the sig. and t-test. sig value is obtained. > α (5% = 0.05). This means that there is a significant average difference in fish production results based on the type of cultivation developed by fishing communities. With the grouping of types of marine cultivation developed by the Wesleyan community using the complete-linkage method, they are divided into 3 groups based on the degree of similarity in the production results obtained. Cluster 1 consists of Floating Nets, and Pools; Cluster 2 consists of other seas, seaweed, cages, and fishing nets; and Cluster 3 consists of Fresh Floating Nets, Minapadi, and Ponds.
Keywords: Complete-Linkage; Fish Production; Mariculture; Multivariate Analysis; T-test;
Abstrak: Berdasarkan penelitian sebelumnya pada analisis variansi untuk menguji perbedaan rata-rata pada masing-masing perlauan peletakan sudut jarring agar jumlah tangkapan yang diperoleh nelayan lebih optimal. Dengan adanya data sekunder berdasarkan jenis budidaya yang dikembangkan masyarakat nelayan, penulis bermasksud untuk melakukan eksplorasi pada data tersebut agar dapat mengkaji lebih dalam terhadap jenis budidaya yang paling efektif dengan analisis variansi untuk mengetahu perbedaan dari masing-masing jenis budidaya serta analisis cluster dengan metode complate linkage untuk mengetahui adanya pengelompokan hasil produksi bududaya laut berdasarkan jenis yang dikembangkan oleh masyarakat nelayan di Indonesia. Korelasi antar variabel yang diamati sebesar 0.008, maka dapat dikatakan bahwa tidak ada hubungan antara variabel yang diamati. Selain itu, hasil uji sig. dan uji t. diperoleh nilai sig. > α (5% = 0.05). Artinya, terdapat perbedaan rata-rata secara signifikan hasil produksi ikan berdasarkan jenis budidaya yang dikembangkan oleh masyarakat nelayan. Dengan adanya pengelompokan jenis budidaya laut yang dikembangkan oleh masyarakat neleyan dengan metode complete-linkage terbagi atas 3 kelompok berdasarkan tingkat kemiripan hasil produksi yang diperoleh. Cluster 1 terdiri dari Jaring Apung, Kolam; Cluster 2 terdiri dari Laut lainnya, Rumput laut, Keramba, Jaring Tancap; dan Cluster 3 terdiri dari Jaring Apung Tawar, Minapadi, Tambak.
Kata kunci: Analisis Multivariate; Budidaya Laut; Complate-Linkage; Produksi Ikan; Uji-t;
Abstract:Indonesia is one of the countries affected by the COVID-19 pandemic. The elderly are the group most at risk for morbidity and mortality due to COVID-19. West Aceh Regency is one of the areas with confirmed cases of COVID-19.…
-19. This study aims to analyze the behavior of preventing COVID-19 in the elderly group. This type of research is descriptive analytic, with a quantitative approach. The sampling technique used was total sampling. Data collection techniques using a questionnaire instrument. Data analysis in this study used three analyzes, namely univariate, bivariate, and multivariate. The results showed that 69.8% of the elderly with less Perceived Susceptibility but had good COVID-19 prevention. 64.7% of the elderly with good Perceived Severity but have less prevention. 63.6% of respondents have good Perceived Benefits as well as COVID-19 prevention. 69.1% of respondents have less Perceived Barriers but have good COVID-19 prevention and 69.1% have good Cues to action plus good COVID-19 Prevention. The most dominant factors that can be used in COVID-19 prevention are Perceived Severity with an OR value of 2.77 and Perceived Barriers with an OR value of 2.76. The Health Belief Model has a relationship and can cause behavioral changes in preventing the potential for COVID-19 in the elderly.
Abstract:This research uses Pre-Experimental Design without control group with One Group Pretest-Posttest Design. The study was conducted in March 2021 in two districts that were confirmed to be inhabited by COVID-19 positive residents…
idents (Johan Pahlawan District and Meureubo District), West Aceh, Indonesia. Statistical analysis used: Hand-washing is one way to prevent COVID-19 transmission. This is essential because in this global pandemic, every community has the opportunity to catch COVID 19. The research objective was to determine the effectiveness of WASH educational collaboration on farmers as an attempt to COVID-19 prevention. The population in the study is all farmers who live in these mentioned districts. There were 37 farmers in total. The sampling method used total sampling, namely 37 farmers who live in the areas that are confirmed to have positive patients of COVID 19. Data were analyzed using Univariate, Bivariate (Dependent T-test) and Multivariate with using logistic regression. The result shows that there is a significant influence between the collaboration of WASH Education on farmers as an effort to prevent COVID-19 with a statistical test value of P-Value <0.05. Collaboration on WASH education for farmers is very influential in preventing COVID-19. It is hoped that cross-sectoral involvement and roles can be maintained so that COVID 19 prevention behavior through WASH can continue to be applied. Educative collaboration of WASH impacts on the behaviour alteration toward farmers who live in the area confirmed to be infected by COVID 19.