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Micro, Small and Medium Enterprises (MSMEs) have a very significant impact on the Indonesian economy. Therefore, it is important to do research in order to

One of the abilities students must possess is Creative Thinking Ability (CTA) in order to succeed in their lives. Learning must facilitate students to develop CTA; one of them is by developing a mobile application based on Realistic Mathematics Education (RME). The purpose of this study is to determine the level of validity/feasibility, practicality, and effectiveness of mobile application based RME. This mobile application development used the ADDIE model development procedure. The subjects in this study were grade 4 elementary school students. The validation data collection techniques through validation sheets, practicality data through CTA tests. The results of the study show that the developed of mobile application integrated with realistic mathematics meets valid/proper requirements based on expert and practitioner assessments that are practical and easy if applied in mathematics learning and that is effective in improving students’ creative thinking ability.

Masa sekolah (SMP, MTs, SMA, SMK, dan MA), merupakan periode penting yang sangat menentukan masa depan. Di SMP, MTs, SMA, SMK, dan MA, para siswa/konseli membutuhkan pelayanan bimbingan karier yang memadai, untuk membantu mereka dalam upaya pemahaman diri, pemahaman dunia karier, dan perencanaan karier. Bimbingan karier merupakan bagian integral dari kegiatan pendidikan formal akan memberikan kontribusi secara maksimal dalam upaya memandirikan siswa/konseli dalam pemilihan karier bila diberikan secara profesional kepada siswa/konseli oleh guru bimbingan dan konseling (konselor) di sekolah. Bila para siswa/konseli SMP, MTs, SMA, SMK, dan MA mendapatkan pelayanan bimbingan karier yang memadai, mereka akan terhindar dari problem-problem pemilihan karier. Buku ini dihadirkan sebagai referensi para konselor sekolah (guru bimbingan dan konseling) SMP, MTs, SMA, SMK, dan MA serta para mahasiswa Jurusan/Program Studi Bimbi ngan dan Konseling, dan Program Studi Psikologi di Tanah Air, dalam upaya meningkatkan wawasan dan pengetahuannya dalam bidang bimbingan karier. Di samping itu, buku ini juga sangat berguna sebagai referensi para akademisi bidang ilmu Bimbingan dan Konseling dan Psikologi di perguruan tinggi.

How to cite (APA 6th Style): Kamal, M., et al. (2016). Assessment of mangrove forest degradation through canopy fractional cover in Karimunjawa Island, Central Java, Indonesia.

Background Coronavirus disease 2019 (COVID-19) elicits robust inflammatory reaction that may result in a declining albumin serum level. This meta-analysis aimed to evaluate the prognostic properties of hypoalbuminemia for poor prognosis and factors that may influence the relationship. Method A systematic literature search of PubMed was conducted from inception to April 22, 2021. The main exposure was albumin level below normal range–defined by the included studies. The outcome of interest was composite poor outcome that comprises of mortality, severity, and the requirement of mechanical ventilation or intensive care unit. Results There were 6200 patients from 19 studies. Meta-analysis showed that hypoalbuminemia was associated with composite poor outcome (OR 6.97 (95% CI 4.20–11.55), p<0.001; I 2 =91.3%, p<0.001). Meta-regression analysis showed that age (p=0.44), gender (p=0.76), HT (p = 0.97), DM (p = 0.40), CKD (p = 0.65), liver disease (p = 0.72), and malignancy (p = 0.84) did not affect the association. Subgroup analysis showed that hypoalbuminemia increased mortality (OR 6.26 (95% CI 3.26–12.04), p<0.001; I 2 =69.6%, p<0.01) and severity of the disease (OR 7.32 (95%CI 3.94-13.59), p<0.001; I 2 =92.5%, p<0.01). Pooled diagnostic analysis of hypoalbuminemia yielded a sensitivity of 0.63 (95% CI 0.52-0.72), specificity of 0.81 (95% CI 0.73-0.87), and AUC of 0.77. The probability of poor outcome was 70% in patients with hypoalbuminemia and 24% in patients with normal albumin level. Conclusion Hypoalbuminemia was associated with poor prognosis in COVID-19 patients.

Tujuan penelitian ini adalah mendeskripsikan jenis, letak, faktor kesulitan menyelesaikan soal model Ujian Nasional matematika dan self-efficacy siswa SMA di Kabupaten Ngada. Penelitian ini termasuk penelitian survei dengan pendekatan kuantitatif dan kualitatif. Subjek penelitian sebanyak 95 siswa SMA di Kabupaten Ngada, berasal dari empat sekolah dengan kategori tinggi, sedang dan rendah. Pengumpulan data menggunakan tes diagnostik, angket, observasi, dan pedoman wawancara. Tes diagnostik terdiri atas 7 butir soal uraian yang merupakan soal dengan daya serap rendah berdasarkan hasil UN tahun pelajaran 2014/2015 untuk mendiagnosis jenis dan letak kesulitan. Analisis data dilakukan dengan menghitung persentase jenis dan letak kesulitan, serta tingkat self-efficacy siswa. Hasil penelitian menunjukkan bahwa jenis kesulitan dalam menyatakan fakta 79,5%; memahami konsep 88,7%; menerapkan prinsip 93,5%; dan menerapkan keterampilan 92,9%. Kesulitan terletak pada menentukan apa yang diketahui 77,3%; apa yang ditanya  44,4%; rumus 71,6%; sistematika penyelesaian 83%; hubungan antar konsep 92%; hubungan fakta dan konsep 89%; dan jawaban akhir 91,9% serta kesulitan dalam menyelesaikan operasi dasar matematika 88,9%. Faktor penyebab kesulitan antara lain ketidakmampuan dalam operasi aljabar, lupa, kurang teliti, terburu-buru, cepat menyerah, waktu yang kurang, kurangnya kesiapan dan keaktifan siswa, ketidakefektifan metode pembelajaran dan peranan guru. Sedangkan self-efficacy siswa berada pada kriteria sedang. An analysis of the difficulty in solving mathematic problem national examination model and self-efficacy of students of SHSs AbstractThis study aims to describe types, loci, and factors of the difficulty in solving mathematic problem national examination model and self-efficacy of students of senior high schools (SHSs) in Ngada Regency. This was a survey study using the quantitative and qualitative approaches. The research subjects were 95 students of SHSs in Ngada Regency from four schools with high, moderate, and low categories. The data were collected from diagnostic test, questionnaire, observation, and interview guideline. A diagnostic test consisting of 7 essay test items with low absorption indices according to the results of the NEs in the academic year of 2014/2015 to trace the types and the loci of difficulties. Data analysis was performed by calculating the percentage of the type and the loci of difficulties, and level of self-efficacy. The results showed that the type of difficulty experienced by students in solving the problem of the National Exam model of mathematics in expressing facts (79.5%), understanding concepts (88.7%), applying  principle of (93.5%), and applying skills (92.9%). The loci of difficulties on determining the known (77.3%), determining the asked  (44.4%), determining formulas (71.6%), determining solution systems (83%), determining the relationships among concepts (92%), determining the relationships between facts and concepts (89%), determining  final answers (91.9%), and the difficulty in solving basic mathematical operations 88,9%. The factors underlying the difficulties are  the inability in algebra operations, forgotten, less conscientious, are in a hurry, give up easily, the time is not enough, lack of the readiness and the involvement of  student, the ineffective of teaching methods and the  teacher role. The self-efficacy of 95 students is at moderate criteria.

Class imbalance occurs when instances in a class are much higher than in other classes. This machine learning major problem can affect the predicted accuracy. Support Vector Machine (SVM) is robust and precise method in handling class imbalance problem but weak in the bias data distribution, Biased Support Vector Machine (BSVM) became popular choice to solve the problem. BSVM provide better control sensitivity yet lack accuracy compared to general SVM. This study proposes the integration of BSVM and SMOTEBoost to handle class imbalance problem. Non Support Vector (NSV) sets from negative samples and Support Vector (SV) sets from positive samples will undergo a Weighted-SMOTE process. The results indicate that implementation of Biased Support Vector Machine and Weighted-SMOTE achieve better accuracy and sensitivity.