The use of social media, especially Instagram, has become a widely utilized platform for promoting tourist destinations. Instagram @tanjongtinggi_official is one such social media channel used by Tanjung Tinggi Beach for promotion. Through the use of photo and video features on Instagram, it becomes easier to promote Tanjung Tinggi Beach to tourists who are not yet familiar with it. This research aims to explore the promotional planning through the @tanjongtinggi_official account in increasing tourist visits to Tanjung Tinggi Beach in Belitung. The research method employs qualitative research to elucidate the uniqueness of @tanjongtinggi_official on Instagram in promoting its tourism. This study adopts a case study design. Data collection is conducted through observation and interviews, with informant selection using purposive sampling technique. Interviews are conducted with key informants, namely the admin of @tanjongtinggi_official and Instagram users who have visited Tanjung Tinggi Beach. Data analysis utilizes the Interactive Model technique, and validity is ensured through triangulation of data collection techniques including informant interviews, observation, and documentation. The results indicate that the planning carried out by the @tanjongtinggi_official Instagram account utilizes visually appealing content presentation and captions, leverages the following feature on Instagram, relevant hashtag usage, photo postings, reposts, mentions, tagged photos, and active interaction with followers to facilitate the promotion of Tanjung Tinggi Beach to tourists, thereby increasing tourist interest in visiting.

Debtor bankruptcy is a critical issue that has a significant impact on the performance of credit payments in the banking sector, especially at the BRI Batam Branch Office. This study aims to analyze the juridical impact of debtors' bankruptcy on credit payment performance in BRI Batam, focusing on the direct influence of bankruptcy on bank liquidity, asset quality, and bank operations. In the legal context, debtor bankruptcy is regulated by Law Number 37 of 2004 concerning Bankruptcy and Suspension of Debt Payment Obligations, which provides a framework for the bankruptcy process and its settlement. The research method used is normative juridical, with a case approach to collect empirical data from the BRI Batam Branch Office. Data was collected through interviews with bank management, analysis of bankruptcy documents, and literature review related to bankruptcy laws and regulations. Data analysis was carried out in a descriptive analytical way to understand the legal implications and operational impact of debtor bankruptcy on credit payment performance.The results of the study show that debtor bankruptcy significantly affects the liquidity and credit payment performance in BRI Batam, with direct consequences in the form of an increase in bad loans and a decrease in interest income. Delays in legal proceedings and asset liquidation also add to the bank's operational burden. Based on these findings, it is recommended that BRI Batam should improve its credit risk monitoring system and adopt a more effective risk management strategy to anticipate and overcome potential bankruptcy. The government is expected to accelerate the legal process related to bankruptcy to minimize the negative impact on the banking sector and the economy as a whole.
 
 

Disaster management is a series of activities carried out in the context of prevention, mitigation, preparedness, emergency response and recovery efforts related to disasters. Disaster management is carried out with the aim of reducing losses and risks that may occur and speeding up the post-disaster recovery process. The implementation of disaster management is very necessary for the people of Cibenda Village because the village is located in a disaster-prone area. The target of this activity is the people of Cibenda Village and its surroundings. The methods used are interactive lectures, discussions and simulations as appropriate methods to provide understanding to the public. Meanwhile, location surveys are carried out to find out evacuation routes that can be used by the community when a disaster occurs. The output of this community service activity is a module for socializing the application of disaster management, scientific articles, as well as planning evacuation routes and handing over disaster evacuation tools.
 
 

Vaksinasi COVID-19  untuk mengurangi transmisi/penularan COVID-19, menurunkan angka kesakitan dan kematian akibat COVID-19 dalam mencapai kekebalan kelompok di masyarakat (herd immunity) dan melindungi masyarakat dari COVID-19 agar tetap produktif secara sosial dan ekonomi. Kekebalan kelompok hanya dapat terbentuk apabila cakupan vaksinasi tinggi dan merata di seluruh wilayah.  Vaksinasi dilakukan pada masyarakat atau sasaran yang hendak melakukan vaksin dosis 1, dosis 2 dan booster yaitu untuk memutuskan mata rantai penularan penyakit, yaitu melalui upaya vaksinasi. Vaksinasi COVID-19 bertujuan untuk mengurangi transmisi/penularan COVID-19. Tujuan Implementasi Kebidanan Komplementer Aromaterapi dan Hand Sanitizer  Lemon dan Pelayanan vaksinasi COVID-19 pada masyarakat khususnya pengunjung     Mall Manado Town Square 3 Kota Manado

This study focused on UNIMED Biology Department students and aimed to find Indonesian language errors in their WhatsApp conversations with lecturers. The data included messages sent by UNIMED biology students to lecturers via WhatsApp. A qualitative analysis was conducted to compare this data with language error standards set in good and correct Indonesian language rules, such as EYD, PUEBI, and KBBI. The results showed that some of the language mistakes that often occur in conversation include incorrect word use, incorrect punctuation, and ineffective sentences

This research analyzes the impact of the multinational company Samsung Electronics Co., Ltd.  Against national income in Indonesia.  Using secondary research methods, data from various sources, including the Central Statistics Agency, Samsung’s financial reports, market studies,and previous academic research, was analyzed to understand Samsung’s contribution to the Indonesian economy.  The analysis results show that Samsung’s presence has made a significant contribution to Indonesia’s economic growth through foreign direct investment, jobcreation, increased exports and tax contributions.  Apart from that, positive impacts are also felt through the development of supporting industries, increasing human resource capacity, and support for the MSME sector.  However, it is also necessary to pay attention to negative impacts such as unhealthy competition and the potential for market domination.  Therefore, appropriate regulatory and supervisory measures are  needed to maximize the positive impact and minimize the negative impact of Samsung’s presence.  Overall, Samsung’s role in driving the  Indonesian economy to wards more advanced and sustainable grow this very significant.  Collaboration between companies, government and society needs to be improved to ensure the benefits are felt fairly and sustainably.

Aplikasi web interaktif untuk pembelajaran anak usia dini tentang pengenalan hewan merupakan alat edukatif yang penting, dirancang untuk membantu anak-anak mengenali berbagai jenis hewan melalui gambar dan deskripsi hewan yang disediakan. Model Convolutional Neural Network (CNN) digunakan untuk mengklasifikasikan gambar hewan yang diunggah oleh pengguna. Metode yang digunakan melibatkan pengolahan gambar menggunakan CNN untuk mengidentifikasi jenis hewan berdasarkan gambar yang diberikan, kemudian hasil identifikasi ditampilkan dalam antarmuka web yang interaktif. Hasil pengujian menunjukkan bahwa model CNN mencapai akurasi sebesar 59.93% dan presisi sebesar 59.92%. Namun, model mengalami masalah overfitting, yang terlihat dari performa yang lebih tinggi pada data pelatihan dibandingkan dengan data validasi, menunjukkan bahwa model terlalu mempelajari detail dan noise pada data pelatihan sehingga kurang mampu menggeneralisasi pola pada data baru. Oleh karena itu, diperlukan optimasi lebih lanjut seperti augmentasi data, regulasi model dan peningkatan jumlah data pelatihan untuk meningkatkan performa model dan mengurangi efek overfitting. Pengujian akurasi pengenalan gambar hewan pada aplikasi web ini dilakukan menggunakan dataset gambar hewan yang baru sebanyak 10 data gambar untuk masing-masing kelas, dengan nilai akurasi rata-rata untuk semua kelas hewan sebesar 54.67%. Dari 15 kelas hewan, nilai akurasi tertinggi diperoleh oleh kelas Zebra dengan nilai akurasi 90%, sedangkan kelas hewan Laba-Laba dan Kucing menjadi kelas hewan dengan nilai akurasi terendah sebesar 20%.
 
Kata kunci: Convolutional Neural Network (CNN), Aplikasi web interaktif, Pengenalan hewan, Klasifikasi gambar.

This research is a descriptive quantitative research, in this research the researcher uses three variables, namely the use of information media (X1), religious culture (X2) and student morals (Y). This research was carried out by distributing questionnaires to SDN MENANG students. The subjects in this research were all 25 students at SDN MENANG. The validity of the data uses the method triangulation technique, the analysis uses descriptive statistical analysis SPSS Persian 34. The results of the research show that there is a significant influence between the influence of religious culture on student morals at SDN MENANG, namely in accordance with the coefficient of determination test (R2) of the influence of the use of information media and religious culture on morals. 4% of students use Information Media and 2% for Religious Culture, while the rest is influenced by other variables.

Penelitian ini bertujuan untuk mengembangkan perhitungan jejak karbon berbasis aplikasi pada kendaraan dan peralatan listrik untuk memahami emisi gas rumah kaca. Analisis yang dilakukan meliputi penghitungan GWP gas rumah kaca, faktor emisi, dan konversi energi. Saran yang mungkin diberikan antara lain meningkatkan akurasi perhitungan emisi, mengintegrasikan data konsumsi bahan bakar dan listrik, serta meningkatkan akurasi perhitungan emisi karbon. Batasan KarbonDioksida(CO2), metana(CH4), dan dinitrogen oksida(N2O) di udara berdampak negatif jika melebihi  batas peraturan.  Emisi karbon dari aktivitas manusia berkontribusi terhadap pemanasan global dan perubahan iklim. Sistem ini dirancang dan diimplementasikan untuk menghitung emisi karbon dari kendaraan dan peralatan listrik, serta memberikan informasi mengenai konsentrasi emisi dan riwayat penghitungan. Analisis emisi karbon dari kendaraan dan peralatan rumah tangga dilakukan untuk memprediksi GWP (Potensi Pemanasan Global). Tujuan analisis ini adalah untuk mengidentifikasi dan mengurangi emisi Gas Rumah Kaca, sehingga dapat mengurangi dampak pemanasan Global. Metode penelitian ini menggunakan algoritma yang menghitung emisi CO2, CH4, dan N2O berdasarkan penggunaan kendaraan dan peralatan listrik pada rumah tangga. Penelitian ini sangat penting agar dapat memahami faktor yang mempengaruhi terhadap emisi karbon dan meningkatkan kesadaran tentang pentingnya perlindungan lingkungan.
 
Kata kunci: Gas Rumah Kaca, GWP, Perubahan Iklim, Emisi Karbon

Keakuratan dalam penegakkan kode diagnosis harus menjadi perhatian khusus, kode yang akurat didapatkan dengan informasi yang mampu mendukung koder dalam menegakkan kode diagnosis. Akurasi kode diagnosis sangat penting dalam bidang pendidikan, peneitian, statistik kesehatan skala nasional, mutu pelayanan kesehatan di rumah sakit, dan sebagai dasar dalam proses pengambilan keputusan. Penelitian ini bertujuan untuk menganalisis hubungan antara kelengkapan informasi rekam medis dengan keakuratan kode diagnosis di rumah sakit. Metode yang digunakan adalah deskriptif analitik dengan pendekatan retrospektif. Populasi penelitian adalah dokumen rekam medis pasien rawat inap sejumlah 6.069 dengan sampel sejumlah 375 dokumen yang diambil dengan teknik simple random sampling. Berdasarkan hasil uji statistik menggunakan Chi-square diperoleh ada hubungan antara kelengkapan informasi rekam medis dengan keakuratan kode diagnosis di rumah sakit. Evaluasi tingkat kelengkapan pengisian dokumen rekam medis masing-masing dokter per periode waktu tertentu sangat disarankan untuk meningkatkan keakuratan kode diagnosis.