Hipertensi adalah penyakit dengan etiologi multifaktorial, dan bukti telah menunjukkan pentingnya penigkatan transportasi vaskuler, stres oksidatif, dan disbiosis usus dalam perkembangan dan pemeliharaan hipertensi. Tekanan darah sistolik atau diastolik lebih besar dari 140 atau 90 mmHg termasuk hipertensi (World Health Organization, 2019). Penduduk Indonesia yang berusia 18 tahun keatas mengalami hipertensi, menurut diagnosis dokter. Berdasarkan diagnosis dokter hipertensi pada populasi penderita hipertensi pada tahun 2018, 54,4% rutin minum obat, 32,3% tidak rutin minum obat, dan 13,3% tidak minum obat antihipertens. Persentase tersebut mewakili riwayat penggunaan obat dan alasan tidak minum obat. Di Indonesia penyakit hipertensi menyerang 34,1% penduduk pada tahun 2018. Setiap tahun terjadi peningkatan terutama pada tahun 2018. Setiap tahun terjadi peningkatan terutama pada tahun 2018. Mengetahui bahwa 13,3% dari mereka yang didiagnosis hipertensi tidak minum obat dan 32,3% tidaj meminum obat secara teratur berkontribusi dengan meningkatnya prevalensi hipertensi (Rikesdas, 2018). Tujuan Penelitian: Untuk Mengetahui Tingkat Pengetahuan Dan Kepatuhan Minum Obat Hipertensi Terhadap Pencegahan Hipertensi Di Puskesmas Pasar Kemis. Jenis penelitian ini menggunakan uji Chi-Square dengan teknik total sampling merupakan teknik non probability sampling teknik pengambilan sampel dimana jumlah sampel sama dengan populasi untuk dipilih menjadi anggota. Sampel yang diambil dari penelitian ini adalah 90 sampel. Hasil uji chi-square dengan nilai (P value) < 0,05. Diharapkan Puskesmas Pasar Kemis dapat memberikan arahan, motivasi dan penyuluhan lebih lanjut mengenai hipertensi dan pengtinya kepatuhan minum obat hipertensi kepada masyarakat.

The Independent curriculum is a new curriculum used in Indonesia and a transitional curriculum from K-13 curriculum. Therefore, this study aims to examine how the role of a teacher in implementing the new curriculum in the class they teach, especially English teachers. This study used library research methods, the data were taken from several articles and similar research. The source of data came from Google Scholar by using keywords the role of the teacher in the independent curriculum and the application of the independent curriculum in English classes. The results of this study indicate that English teachers are people who play an important role in implementing the independent curriculum. The English teacher in this curriculum acts as a giver of understanding, and has influence to improve the quality of education as well as an adapter that aligns the curriculum with the characteristics and needs of students. English teachers can implement an independent curriculum by changing teaching methods, using new strategies to improve learning outcomes. For curriculum implementation there are several strategies that English teachers can use such as games, music, using interactive learning media when teaching, then you can also use Role-play, Information-gap activities, Jigsaw activities, open-ended discussions and debates.

Butterflies’ recognition serves a crucial role as an environmental indicator and a key factor in plant pollination. The automation of this recognition process, facilitated by Convolutional Neural Networks (CNNs), can expedite this task. Several pre-trained CNN models, such as VGG, ResNet, and Inception, have been widely used for this purpose. However, the scope of previous research has been somewhat constrained, focusing only on a maximum of 15 classes. This study proposes to modify the CNN InceptionV3 model and combine it with three data augmentations to recognize up to 100 butterfly species. To curb overfitting, this study employs a series of data augmentation techniques. In parallel, we refine the InceptionV3 model by reducing the number of layers and integrating four new layers. The test results demonstrate that our proposed model achieves an impressive accuracy of 99.43% for 15 classes with only 10 epochs, exceeding prior models by approximately 5%. When extended to 100 classes, the model maintains a high accuracy rate of 98.49% with 50 epochs. The proposed model surpasses the performance of standard pre-trained models, including VGG16, ResNet50, and InceptionV3, illustrating its potential for broader application.

This paper proposes a method based on the Lagrange optimization function and local search technique for minimizing the total cost of two power systems. The first system comprises ten multiple fuel thermal units (MFTUs) while the second system combines the first system with renewable energies, solar and wind power. The proposed method has advantages over its conventional method without a local search technique, called the conventional Lagrange function-based method (CLM), such as having the same parameters and exploiting other search spaces after getting convergence. The proposed method is more effective than CLM for the first system with the last case of load demand. In addition, the proposed method has better costs than previous algorithms, such as the Hierarchical numerical method (HNUM), Hopfield neural network, Adaptive Hopfield neural networks (AHNN) and modified Lagrange neural network (MLANN). Especially, the proposed method can find smaller costs than them, up to $6.78, corresponding to 1.4% for Case 1, and up to $2.43, corresponding to 0.4% for Case 4. Only the proposed method is tested on the second test system. The simulation results indicate that the method is very efficient for the problem with solar and wind energies and multiple fuel thermal units.

Designing and validating structural causal model (SCM) correctness from a dataset whose background knowledge is obtained from a research process is not a common phenomenon. Studies have shown that in many critical areas, such as healthcare and education, researchers develop models from direct acyclic graphs (DAG), a component of an SCM, without testing them. This phenomenon is worrisome and is bound to cast a shadow on the inference estimates that may arise from such models. In this study, we have designed a novel application-based SCM for the first time using the background knowledge obtained from the Early Grade Reading Assessment (EGRA) program called the Strengthen Education in Northeast Nigeria (SENSE-EGRA), which is an educational intervention program of the American University of Nigeria (AUN), Yola, on the letter identification subtask. This project was sponsored by the United States Agency for International Development (USAID). We employed the conditional independence test (CIT) criteria for the validation of the SCM’s correctness, and the results show a near-perfect SCM.

Pandemi virus korona telah menyebabkan beragam krisis di seluruh penjuru dunia. Pasar finansial global tertekan sejak pekan terakhir Februari 2020. Organisasi menghadapi beragam masalah baru yang terus mengancam, seperti virus (malware), serangan terhadap infrastruktur, pembobolan data, dan penipuan pembayaran (fraud). Firma akuntan, pajak, dan jasa keuangan termasuk UMKM juga tidak luput dari risiko bahaya kejahatan cyber itu sendiri, dengan potensi pembobolan data dan akses yang tidak sah ke pembukuan yang menciptakan potensi penipuan pengembalian pajak dan pensiun, pencurian identitas, serta penipuan financial terhadap klien. Generasi milenial sangat update teknologi karena ketika lahir telah akrab dengan perkembangan teknologi di masyarakat. Alhasil para Akuntan dari generasi milenial ini sangat diperlukan perannya sebagai solusi permasalahan yang terjadi. Metode pada penelitian ini adalah mix methode, dimana untuk kualitatif melakukan wawancara mendalam terhadap Akuntan Pendidik, Akuntan Publik, dan Praktisi Akuntan milenial, dan untuk kuantitatif melakukan survey terhadap 100 akuntan milenial di Surabaya. Penelitian ini mengungkap bahwa Akuntan Milenial di Surabaya yang diwakili oleh koresponden telah dikatakan siap menghadapi era new normal. Dan terdapat 17 strategi yang bisa disiapkan oleh Akuntan milenial agar siap menghadapi era new normal.

Micro, Small and Medium Enterprises (MSMEs) in Indonesia, which are contributors to national economic growth, still experience many obstacles in their development, such as ineffective partnership patterns, and their development does not meet expectations. This makes the implementation of CSR carried out by companies or BUMN still not on target or still partial. The aim of this research is to evaluate and create a pattern of synergy between the implementation of corporate CSR and community economic empowerment in the form of MSMEs. This research was conducted at PT Astra International Tbk with one of the CSR partners in the form of Kampung Berseri Astra, namely KBA Semanggi Suroboyo. The research method is a qualitative approach, using 3 key informants. The results of the research show that PT Astra International Tbk has committed to implementing corporate CSR with a focus on community economic development through Kampung Berseri Astra which is developed and monitored continuously every year through 4 main pillars, namely Education, Health, Environment and Entrepreneurship. KBA Semanggi Suroboyo, as one of the partners, feels that the implementation of CSR is right on target, but is still hampered by the synergy of regional government programs, especially those related to empowering MSMEs. An appropriate synergy pattern is needed to synergize the implementation of the Company's CSR with community economic empowerment, especially in terms of empowering MSMEs.

This study aims to analyze the initial needs of developing the competence of elementary school teachers as an effort to increase motivation and success in writing books. The target of this study was a teacher at SD Hang Tuah Cluster, Pemalang District, Pemalang Regency. The method used in this research activity is descriptive qualitative with research instruments in the form of questionnaires and interviews. The use of data analysis techniques includes three stages, namely data reduction, data presentation, and drawing conclusions. Based on the analysis of the instrument, data was produced that the motivation and success of teachers in writing books is very low. The total number of teachers targeted for the study was 36 people. The percentage of teacher motivation in writing books is only 31% and success in writing books is at 3%. The low motivation and success of teachers in writing books is caused by internal conditions that are not conducive (limited knowledge about authorship) and inadequate facilities and infrastructure (time and capital). The results of this study are useful as an initial analysis of the need for teacher competency development in writing in order to have a strong motivation to start work so that teachers who are skilled in writing and productive in creating books as one of the published works.

Tujuan umum penelitian ini adalah adanya strategi dan kebijakan yang tepat sasaran terkait upaya peningkatan daya saing agar pengrajin lontong khususnya UMK Kampung Lontong di Kupang Krajan Surabaya mampu berdaya saing dan masuk dalam supply chain industri kuliner Kota Surabaya sehingga meningkatkan pertumbuhan ekonomi di Kota Surabaya. Dalam penelitian ini digunakan pendekatan Aset-Proses-Kinerja (Asset-Process-Performance) atau lebih dikenal dengan sebutan Pendekatan APP sebagai basis penyusunan kerangka konseptual. Pendekatan APP muncul sebagai gagasan yang mengintegrasikan berbagai sumber daya yang kemudian mengalami proses dan selanjutnya menghasilkan kinerja sebagai suatu kesatuan ukuran daya saing (Momaya, 1998; Shee, 2002). Metode  Penelitian yang digunakan adalah penelitian deskriptif dengan menggunakan survey. Penelitian deskriptif dapat diartikan sebagai proses pemecahan masalah yang diselidiki dengan melukiskan keadaan subyek dan obyek penelitian pada saat sekarang berdasarkan fakta-fakta yang tampak atau bagaimana adanya. Populasi dalam penelitian ini adalah seluruh pengrajin lontong di Kampung Lontong RW 6 Kelurahan Kupang Krajan yaitu sebanyak 30 perajin dan yang bersedia dan bisa diwawancarai sebanyak 17 orang. Hasil Penelitian menunjukkan untuk peningkatan daya saing dari sisi Asets adalah perlu pelatihan bagi pengusaha untuk menambah kompetensinya dengan menguasai manajemen keuangan dan manajemen sumber daya manusia, sedangkan dari sisi Proses adalah dengan melakukan kerjasama dengan akademisi dalam memanfaatkan hasil penelitian dan pengembangan melakukan tertib administrasi SDM dan organisasinya meskipun skala usahanya masih UMK, mengikutsertakan diri dan pegawainya bila ada pelatihan serta meningkatkan kemampuan kerjasama pengusaha lontong dalam pemenuhan pasokan bahan dan pemasaran, terakhir dari sisi Performa adalah perlu integrasi peran pengusaha, pemerintah dan akademisi dalam penelitian dan pengembangan inovasi teknologi dan produk baru.

.  Artificial Intelligent (AI) is a field of computer science devoted to solve cognitive problems, commonly associated with human intelligence, such as learning, problem solving and pattern recognition. From education point of views, it helps teachers to facilitate learning process especially for speaking skill. The research method runs with mixed method (qualitative. And quantitative) The aim of this research is investigating the students’ speaking performance with artificial intelligence. The data collection is taken from interviews, photo, and literature studies. The result of this study is the increasing student’s speaking performance with AI.