This study aims to systematically review the influence of digital marketing and electronic word of mouth (E-WOM) on consumer purchase intention. Using a systematic literature review (SLR) approach, five peer-reviewed journal articles published between 2022 and 2023 were analyzed, focusing on digital consumer behavior in the context of social media platforms such as TikTok and Instagram, as well as e-commerce. The review identifies that digital marketing strategies—particularly content marketing and social media engagement—positively affect purchase intention, especially when mediated by consumer trust and brand awareness. Similarly, E-WOM, delivered through influencers, customer reviews, and celebrity endorsements, is found to significantly shape brand image and influence purchase decisions. The findings also highlight that the effectiveness of digital marketing and E-WOM varies depending on platform type, message form, and product category. This study contributes to a deeper understanding of consumer response patterns in digital environments and offers practical implications for marketers to optimize engagement strategies. Recommendations for future research are also presented to address the current limitations and explore emerging trends in digital consumer behavior.
 

Wakaf  merupakan sebuah kegiatan yang telah ada sejak berpuluh–puluh tahun oleh masyarakat indonesia yang beragama islam, akan tetapi masih banyak problematik terkait wakaf karna kurangnya pemahaman di masyarakat dan perlindungan hukum yang memadai. salah satu problematika yang terjadi khususnya tentang wakaf salah satunya terjadi dikota pekanbaru yang mana ahli waris wakif menjual tanah yang diwakafkan orangtuanya. Penelitian ini bertujuan untuk menganalisis pengaruh hukum Islam, khususnya yang berkaitan dengan hukum positif, terhadap isu ini. Metode yang diterapkan dalam penelitian ini adalah pendekatan yuridis normatif, meliputi kajian tentang hukum Islam serta undang-undang yang relevan. Kesimpulan. Terdapat implikasi hukum dan masih perlunya kesadaran hukum dimasyarakat, serta harmonisasi dan perlindungan hukum terkait wakaf. khususnya yang terjadi di kota pekanbaru.

This study examines the correlation between reading interest and writing ability of STIKOM Yos Sudarso Purwokerto students as an effort to understand the relationship between two basic literacy skills in the context of higher education. Low interest in reading is often blamed as one of the causes of students' weak writing skills, which impacts their academic quality and critical thinking skills. This study aims to determine the extent to which reading interest affects students' writing skills, as well as provide an initial mapping of literacy conditions in the campus environment. The method used is quantitative with a correlational approach. Data was collected through questionnaires to measure reading interest levels and writing tests to assess students' writing ability. The analysis was carried out by Pearson correlation statistical test. The results of the study showed a significant positive correlation between students' reading interest and writing ability. The higher the students' interest in reading, the better their writing skills, especially in terms of writing structure, vocabulary use, and logical argumentation. These findings reinforce the assumption that active reading habits can promote significant improvements in writing skills. Therefore, a learning strategy is needed that is able to foster a literacy culture among students.

Injury prevention and management represent essential competencies for athletes, particularly in contact sports such as football, where physical strain is prevalent. However, limited empirical data exist concerning young athletes’ awareness of injury mechanisms, treatment procedures, and preventive strategies. This study aims to assess the knowledge level of Kancil Mas U-21 football players regarding sports injuries, including their treatment and prevention, using a descriptive statistical approach. Data were collected from 13 male athletes aged 19–21 via a structured questionnaire distributed through online platforms. The research utilized the Guttman scale to categorize responses and applied classification norms to interpret the knowledge level across three core domains: injury, treatment, and prevention. Findings revealed that the majority of athletes demonstrated a moderate understanding of injury occurrence and prevention, while knowledge related to treatment remained relatively low. The urgency of this research lies in the necessity to bridge knowledge gaps among young athletes to prevent long-term performance limitations and injury recurrence. The study's novelty stems from its focus on a semi-professional U-21 football cohort, offering insights rarely captured in mainstream sports injury literature. The contribution of this study is to inform targeted educational interventions in sports clubs and youth academies, ultimately strengthening health literacy, reducing injury incidence, and enhancing athletic performance continuity within the context of competitive football.

This study aims to evaluate the effectiveness of the National Cash Social Assistance (BST) policy on the purchasing power of communities in Surabaya. BST is a social protection program launched by the Indonesian government in response to the economic impact of the COVID-19 pandemic. The policy targets low-income and vulnerable groups through direct cash transfers, with the goal of maintaining basic consumption levels and preventing a sharp decline in household welfare. This research examines the extent to which the BST program has achieved its objectives, particularly in enhancing or sustaining the purchasing power of its beneficiaries in urban settings. The study employs an evaluative approach using a mixed-methods design, combining quantitative survey data with qualitative interviews involving aid recipients and local-level implementers. The findings indicate that the BST program had a positive short-term impact on household purchasing power, particularly in meeting essential needs such as food and utility expenses. However, several implementation challenges were also identified, including issues of inaccurate beneficiary targeting, delays in distribution, and the relatively small amount of assistance compared to actual household need. These results highlight that the effectiveness of social policy is not solely dependent on budget allocation but also on the precision of its implementation on the ground. Consequently, the study recommends improvements in beneficiary data updating, enhanced transparency in aid distribution, and the development of more adaptive program designs that reflect local socio-economic conditions. The findings are expected to serve as a valuable reference for policymakers in designing more efficient and sustainable social assistance programs in the future.
 

Aplikasi berbasis mobile untuk deteksi dini penyakit kulit memiliki potensi besar dalam meningkatkan kesadaran dan pemahaman masyarakat terhadap kesehatan kulit. Program pengabdian ini bertujuan untuk memberikan edukasi dan sosialisasi terkait pemanfaatan teknologi kecerdasan buatan dalam deteksi dini penyakit kulit kepada mahasiswa dan tenaga kesehatan di STIKES Telogorejo Semarang. Kegiatan ini meliputi pelatihan penggunaan aplikasi, pemahaman dasar tentang teknologi kecerdasan buatan dalam analisis citra medis, serta diskusi interaktif mengenai pentingnya deteksi dini dalam pencegahan penyakit kulit. Metode yang digunakan mencakup presentasi, demonstrasi langsung, serta sesi praktik dengan studi kasus nyata. Hasil dari kegiatan ini menunjukkan peningkatan pemahaman peserta mengenai teknologi deteksi penyakit kulit berbasis AI, serta meningkatnya minat dalam mengadopsi teknologi digital dalam bidang kesehatan. Selain itu, peserta juga memberikan umpan balik positif terkait kemudahan penggunaan dan manfaat aplikasi dalam mendukung diagnosis awal. Kesimpulannya, edukasi dan sosialisasi ini berhasil meningkatkan literasi digital di bidang kesehatan serta mendorong pemanfaatan teknologi dalam layanan medis. Ke depan, pengembangan aplikasi lebih lanjut dan implementasi di fasilitas kesehatan diharapkan dapat semakin meningkatkan kualitas layanan kesehatan berbasis teknologi

This research aims to fill the knowledge gap by understanding that strategic resources such as collaboration networks, technology digitalization, and financial literacy contribute to improving performance through financial and business competencies and resilience in the perspective of a Resource-Based View (RBV). The study was conducted in Malang Raya, which has a dynamic agro-tourism area but is facing market pressure and high competition. It involved 50 chip MSME players who have been operating for at least two years. The research method uses the SEM-PLS on seven main variables: collaboration network, digitalization, financial literacy, competence, financial resilience, business resilience, and business performance. The results show that the three main resources have a significant effect on performance improvement, either directly or through strengthening competence and resilience. This research provides a theoretical contribution by expanding the application of RBV in the context of traditional food MSMEs, as well as presenting an integrative model to improve the competitiveness of MSMEs. Further research is recommended to explore external variables such as regulation and the dynamics of the growing digital market.

This study aims to examine the relationship between fear of missing out (FOMO), celebrity influence, and limited editions on the purchase intention of Labubu dolls. Data were collected from 107 respondents within the Labubu fan community on social media using a combination of purposive sampling and snowball sampling methods. Data collection was conducted through questionnaires, and the analysis was performed using SPSS software, including validity and reliability tests, classical assumption tests, and hypothesis testing. The results of the study indicate that FOMO, celebrity influence, and limited editions collectively have a significant relationship with Labubu purchase intention. These findings highlight the importance of leveraging marketing strategies based on FOMO and limited editions, as well as collaborations with celebrities, to enhance product appeal and drive sales. This research provides practical guidance for businesses in developing effective marketing strategies.

Pembelajaran yang efektif sangat penting untuk keberhasilan pendidikan, terutama dalam pendidikan jasmani. Penelitian ini bertujuan untuk mengembangkan model pembelajaran senam ritmik yang lebih menarik bagi siswa sekolah menengah pertama di Kecamatan Karanganom, Kabupaten Klaten, Jawa Tengah, dengan menciptakan produk senam “Sahaja Renjana”. Metode yang digunakan dalam penelitian ini adalah penelitian dan pengembangan (R&D). Hasil uji coba skala besar menunjukkan bahwa aspek kognitif peserta didik memperoleh nilai rata-rata sebesar 63,75% (Cukup Baik), meskipun siswa cenderung bermain sendiri dan kurang memperhatikan saat praktik. Pada aspek afektif, siswa mencapai presentase 64,57% (Cukup Baik), menunjukkan bahwa senam sahaja renjana efektif dalam mengajarkan sikap kerjasama, kejujuran, tanggung jawab, dan sportifitas. Aspek psikomotorik menunjukkan presentase 68,4% (Cukup Baik), menandakan bahwa senam sahaja renjana diterima dengan baik oleh peserta didik. Penelitian ini diharapkan dapat memandu para guru dalam menciptakan pengalaman belajar yang inovatif dan efektif pada peserta didik Sekolah Menengah Pertama (SMP).

Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through several main stages, including image preprocessing (conversion to grayscale, thresholding, and image size normalization), feature extraction using the zoning technique, and classification using the KNN algorithm. This research utilizes the MNIST dataset, which contains thousands of handwritten digit images ranging from 0 to 9. The system is developed using the Google Colab platform, supported by Python libraries such as OpenCV, NumPy, and Scikit-learn. Test results show that the system can achieve an accuracy of over 90% at certain K values, indicating that the KNN method is quite effective and efficient in recognizing handwritten digit patterns. This system is expected to be applicable for various digitization needs of handwritten numbers in education, administration, and information technology sectors