Fenomena fear of missing out (FOMO) makin memengaruhi perilaku konsumtif masyarakat di era digital. Penelitian ini bertujuan untuk mengeksplorasi pengaruh FOMO terhadap pola pengeluaran di kalangan individu berusia 18–45 tahun dengan menggunakan pendekatan Exploratory Data Analysis (EDA). Data primer dikumpulkan melalui kuisioner daring dan dianalisis menggunakan teknik visualisasi berbasis Python  Hasil analisis menunjukkan adanya korelasi positif yang kuat antara tingkat FOMO dan perilaku pembelian impulsif, khususnya pada kalangan pengguna media sosial seperti TikTok dan Instagram. Faktor-faktor yang memengaruhi meliputi frekuensi tingkat paparan konten influencer, jenis metode pembayaran yang sering digunakan, dan momen promosi yang menciptakan rasa urgensi. Selain itu, ditemukan perbedaan pola konsumsi yang dipicu oleh FOMO berdasarkan variabel demografis seperti usia dan lokasi tempat tinggal. Hasil penelitian ini menegaskan pentingnya pemahaman terhadap faktor psikologis dan sosial yang memengaruhi tren konsumsi digital. Penelitian ini memberikan wawasan yang bermanfaat bagi pelaku bisnis dalam merancang strategi pemasaran yang tepat sasaran, serta bagi pemangku kebijakan dalam mendorong perilaku konsumsi yang lebih bijak di era digital. 
  
Kata Kunci - Exploratory Data Analysis (EDA); Fear of Missing Out (FOMO); perilaku konsumtif; media sosial; visualisasi data.

This study aims to determine the effect of adding EM4 probiotics in various doses to commercial feed on the growth of jatimbulan tilapia (Oreochromis niloticus L). Probiotics are known to play a role in increasing digestive efficiency, nutrient absorption, and maintaining the health of the fish's digestive tract, so they are expected to support optimal growth. The research method used was a Completely Randomized Design (CRD) with four treatments, namely: P0 (control/without probiotics), P1 (5 ml EM4/kg feed), P2 (7 ml EM4/kg feed), and P3 (11 ml EM4/kg feed), each with four replications. The parameters observed were the growth in length and weight of jatimbulan tilapia during the maintenance period. The results showed that the administration of EM4 probiotics at certain doses was able to provide a significant effect on the growth of tilapia compared to the control treatment. Treatment P2 (7 ml/kg feed) provided the best growth results compared to other doses, both in terms of increasing length and body weight. Meanwhile, administering probiotic doses that are too low (P1) or too high (P3) tends to be less effective in supporting optimal growth. This is thought to be due to the disruption of the microbial balance in the digestive tract when the probiotic dosage is incorrect. This research provides useful information for Jatimbulan tilapia cultivation practices, particularly regarding the use of probiotics to increase growth efficiency. Using the correct probiotic dosage can be a strategy to increase the productivity and sustainability of freshwater fish farming.
 

Pengabdian masyarakat ini bertujuan meningkatkan pengalaman belajar dan bermain anak usia dini kisaran 5-6 tahun di KB/TK Darussalam P4A Semarang yang memiliki keterbatasan ruang. Melalui metode Pendidikan Masyarakat, kami merancang dan mengimplementasikan permainan edukatif "Plastic Rush" dan "Motoric Wall". Uji coba langsung menunjukkan respon positif dari anak-anak dan guru, menegaskan efektivitas permainan sebagai strategi pembelajaran. Kegiatan ini berhasil memberikan pelatihan dan penyuluhan praktis yang meningkatkan kualitas interaksi bermain dan belajar.

This study aims to explore the influence of destination image on visitors' intention to revisit Purwodadi Botanical Gardens in Pasuruan Regency, and examine the role of visitor experience as a mediating variable. This study uses a quantitative approach with an explanatory method. Data were collected through an online questionnaire distributed to 100 respondents who were visitors to Purwodadi Botanical Gardens. Data analysis was conducted using the Partial Least Square - Structural Equation Modeling (PLS-SEM) technique with the assistance of SmartPLS software. The results showed that destination image did not have a significant direct influence on the intention to revisit. However, destination image was proven to have a significant influence on visitor experience. Furthermore, visitor experience had a significant positive influence on the intention to revisit. These findings indicate that visitor experience significantly mediates the relationship between destination image and revisit intention. These findings strengthen the relevance of the Stimulus-Organism-Response (SOR) Model and the Theory of Planned Behavior, which states that initial perceptions of a destination (stimulus) do not automatically influence behavior (response), but need to be internalized through meaningful experiences (organism). Therefore, managing positive and memorable experiences is key to building visitor loyalty. The practical implication of this research is the importance for managers of Purwodadi Botanical Gardens and other educational tourism destinations to prioritize developing the visitor experience. Strategies such as improving services, providing interactive educational facilities, and creating a comfortable and enjoyable atmosphere can contribute to creating memorable experiences that encourage visitors to return in the future.

This study explores the influence of information system quality, information technology sophistication, and personal technical capability on the effectiveness of Accounting Information Systems (AIS) in Village Credit Institutions (LPDs) in Jembrana Regency. The research adopts a quantitative approach, utilizing a survey method. Questionnaires were distributed to 63 employees from 21 LPDs that have already implemented computerized AIS. The study focuses on assessing how these three independent variables contribute to the effectiveness of AIS in the LPDs. Multiple linear regression was employed for data analysis, allowing the researcher to determine the relationship between the independent variables and the effectiveness of AIS. The respondents were selected from LPDs that had successfully integrated technology into their accounting systems. The primary objective was to understand whether system quality, IT sophistication, and personal technical capability played a significant role in improving AIS performance in these institutions. The findings of the study indicate that all three independent variables—system quality, IT sophistication, and personal technical capability—positively influence the effectiveness of AIS. Specifically, high-quality systems, advanced IT infrastructure, and employees with strong technical skills were found to enhance the operational effectiveness of AIS. This underscores the importance of these factors in ensuring the smooth functioning of AIS in LPDs. As such, LPDs are encouraged to invest in improving system quality, upgrading IT systems, and enhancing the technical skills of their staff to optimize AIS performance. Overall, the study contributes to the understanding of how technological factors can be leveraged to improve accounting processes in financial institutions, particularly in rural settings like LPDs in Jembrana Regency.

The Abbasid dynasty was one of the most influential Islamic caliphates and left a long legacy in the development of world civilization. Established in 750 AD and ending in 1258 AD, the Abbasid period is known as the Golden Age of Islam due to its extraordinary progress in various fields, including politics, economics, and science. This study aims to examine how the Abbasid political and economic policies and the development of science that took place during that period were able to contribute significantly to the progress of global civilization. This study uses a qualitative method with a descriptive-historical approach through the study of relevant literature in the last five years. The results of the study indicate that political stability and a structured bureaucratic system provided a strong foundation for economic growth and intellectual progress. The Abbasid government established a center of knowledge in Baghdad known as Baitul Hikmah (House of Wisdom). Here, scientists from various religious and cultural backgrounds gathered to translate, develop, and disseminate knowledge from Greek, Persian, Indian, and other scientific traditions into the Islamic world. Some of the great figures who emerged during this period included Al-Khwarizmi (mathematics), Ibn Sina (medicine and philosophy), and Jabir Ibn Hayyan (chemistry). Their discoveries and work became the foundation for modern science. However, the glory of the Abbasids slowly declined due to internal conflicts, power struggles, and the weakening of the caliph's authority. The peak of the fall occurred when Baghdad was attacked and destroyed by the Mongols in 1258 AD. However, the intellectual and cultural heritage of the Abbasid dynasty continues to have an important influence on the development of world science and civilization to this day.

This study aims to analyze the influence of Word of Mouth, price, and product quality on consumer purchasing decisions at Kopi Studio 24 in Malang City, both simultaneously and partially, and to identify the most dominant variables. The approach used in this study is quantitative with the explanatory research method. The population in this study were all customers of Kopi Studio 24, with the sampling technique using purposive sampling. The number of respondents in this study was 100 people. Data collection was carried out by distributing questionnaires to customers who had made purchases at Kopi Studio 24. The questionnaire instrument was compiled based on the indicators of each research variable and tested for validity and reliability. Data analysis was carried out using multiple linear regression with the help of SPSS software version 25. The results of the study showed that the variables Word of Mouth, price, and product quality simultaneously had a positive and significant effect on purchasing decisions. Partially, the three variables also had a positive and significant effect. Among the three, Word of Mouth was the variable that had the most dominant influence on consumer purchasing decisions. This shows that word of mouth, whether through personal experience, friend recommendations, or reviews on social media, plays an important role in encouraging consumers to purchase products at Kopi Studio 24. This finding implies that Kopi Studio 24 managers need to strengthen their Word of Mouth-based marketing strategy and maintain product quality and set competitive prices to increase consumer purchasing decisions.
 

This research explores the influence of customer satisfaction on the financial performance of Perumda Tirtanadi, with a particular focus on the digital service system as a moderating factor. The study is driven by the growing urgency for digital innovation in public service sectors, particularly in the wake of the COVID-19 pandemic, which significantly altered customer engagement patterns. A quantitative method is adopted, employing Partial Least Squares–Structural Equation Modeling (PLS-SEM) using the SmartPLS 4 software to process the collected data. The analysis demonstrates that both customer satisfaction and digital services have independent and significant positive effects on financial outcomes. However, the interaction between these two variables does not show a statistically significant moderating effect. These findings underline the value of digital infrastructure as a strategic internal resource that supports financial growth. Nevertheless, the minimal moderating impact suggests that a portion of customers either lack access or sufficient skills to effectively utilize the available digital platforms. This study adds to the current body of knowledge by examining the interplay between digital transformation and customer satisfaction in shaping financial performance, framed through the Resource-Based View (RBV) theory. The research suggests that improving digital literacy and promoting better adoption of digital tools among customers is essential to fully capitalize on the benefits of technological advancement. Furthermore, it highlights the need for continuous training and support to ensure that all customers can engage with digital services effectively, thereby enhancing overall satisfaction and financial performance. By addressing these gaps, organizations can foster a more inclusive digital environment that benefits both the customers and the service providers.

Research on national banking using the Altman’s Z-Score analysis technique has been relatively extensive, but studies focusing specifically on banks indexed to SRI-KEHATI remain limited. The SRI-KEHATI Index is known as a benchmark for companies with strong sustainability, social responsibility, and good governance practices. This study aims to analyze the health trends of banks listed in the SRI-KEHATI Index during the 2015–2024 period by applying the second modified Altman’s Z-Score model (1993), which is widely recognized as a reliable indicator for assessing a company’s financial stability and risk of bankruptcy. The findings indicate that the overall Altman’s Z-Score trend of major banks within the SRI-KEHATI Index shows stability and a consistently healthy financial condition throughout 2015–2023. However, in 2024 there is a notable decline that requires further examination to determine whether it is caused by market fluctuations, structural challenges, or accounting adjustments. Despite this decrease, the overall financial health of the banks remains categorized as very good according to Altman’s model. The average Z-Score for all four banks analyzed is 6.457, which is well above the threshold of 2.6, indicating no significant bankruptcy risk. When evaluated individually, BMRI stands out as the healthiest with a Z-Score of 13.879, followed by BBNI with 5.971, BBRI with 3.175, and BBCA with 2.801. These results confirm that all four banks remain in a safe financial zone during the 2015–2024 period. Furthermore, the study’s four hypotheses are proven, reinforcing the argument that SRI-KEHATI indexed banks maintain strong financial resilience even amid post-Covid-19 challenges.

This study proposes a lightweight hybrid model that integrates probabilistic feature augmentation, Gated Recurrent Units (GRU), and Multi-Head Attention to enhance chronic disease prediction on imbalanced clinical tabular data. The research addresses the challenge of low recall and poor minority-class detection in conventional models, aiming to improve predictive robustness and interpretability. The proposed model leverages logistic regression to generate probability-based feature augmentations, which are combined with sequential dependencies learned by GRU and refined through attention mechanisms. Evaluated on three benchmark medical datasets, Breast Cancer, Heart Disease, and Hepatitis C, the model achieves a maximum F1-score of 0.951, a recall of 0.944, and an AUC of 0.976, outperforming traditional machine learning baselines and single-path deep learning models. The attention module enhances interpretability by highlighting relevant features, supporting clinical insights. These findings confirm that probabilistic augmentation and attention-guided deep architectures can significantly improve prediction performance on imbalanced medical data. The results support the study’s objective to design an accurate, interpretable, and clinically relevant prediction model.