Pengembangan Bio-Booklet Melalui Pendekatan Morfologi Dan Kadar Klorofil Famili Leguminoceae Untuk Sumber Belajar

Bio-Booklet dengan pendekatan morfologi dan kadar klorofil digunakan untuk sumber belajar  mata kuliah morfologi dan fisiologi tumbuhan karena bentuknya yang sederhana dan bisa digunakan sebagai acuan tambahan untuk materi morfologi dan kadar klorofil bagi mahasiswa Biologi semester IV dan V. Pendekatan pengembangan dilakukan menggunakan model 3-D (Define (pendefenisian), Design (perancangn) dan Develop (pengembangan). Kajian data yang digunakan berdasarkan studi literatur, karakteristik serta angket. Analisis data yang dikembangkan melalui pendekatan data kualitatif dan juga analisis uji kelayakan Bio-booklet. Hasil penilaian kelayakan Bio-booklet dari ahli materi dan media untuk karakter morfologi memperoleh skor 81,3%, sedangkan Bio-booklet materi kadar klorofil memperoleh nilai rata-rata dari ahli materi dan media adalah 89,6% masuk dalam kategori sangat valid atau layak. Hasil karakteristik morfologi dan kadar klorofil famili leguminoceae diperoleh karakter fenotip antara kuantitatif dan kualitatif bervariasi. Total kadar klorofil famili leguminoceae pada penelitan ini jenis kacang gude 0,47, kacang hijau 0,33 dan kacang tunggak 0,32. Berdasarkan hasil dapat disimpulkan Bio-booklet dengan pendekatan morfologi serta kadar klorofil famili leguminoceae sangat layak dijadikan sumber belajar

MODEL STUDENT CENTERED LEARNING (SCL) DI SEKOLAH DASAR (SD) YANG INOVATIF TERINTEGRASI PEMBELAJARAN TERPADU

Learning model as a conceptual framework used as a guide in learning. An example of a commonly used learning model is student centered learning (SCL). Thus, the adoption of an innovative SCL model helps learners understand concepts by connecting between the content learned and the real life of learners that are integrated into The objective of this research is to integrate integrated learning for students in elementary school (SD) into innovative SCL model.This type of research is literature research with documentation study method from various sources of books and scientific journals Discussion of research, reviewing: innovative integrated learning models in SD, SCL model function in KBM, integrated learning benefits, and SCL model correlation with integrated learning.Keywords: SCL SD Model, Innovative, Integrated Learnin

MODEL STUDENT CENTERED LEARNING (SCL) DI SEKOLAH DASAR (SD) YANG INOVATIF TERINTEGRASI PEMBELAJARAN TERPADU

Learning model as a conceptual framework used as a guide in learning. An example of a commonly used learning model is student centered learning (SCL). Thus, the adoption of an innovative SCL model helps learners understand concepts by connecting between the content learned and the real life of learners that are integrated into The objective of this research is to integrate integrated learning for students in elementary school (SD) into innovative SCL model.This type of research is literature research with documentation study method from various sources of books and scientific journals Discussion of research, reviewing: innovative integrated learning models in SD, SCL model function in KBM, integrated learning benefits, and SCL model correlation with integrated learning.Keywords: SCL SD Model, Innovative, Integrated Learnin

PEMBELAJARAN BERBASIS KEARIFAN LOKAL TANAMAN FALOAK (Sterculia Quadrifida R.Br) TERHADAP LITERASI SAINS SISWA KELAS IV SEKOLAH DASAR OEBA 3 KOTA KUPANG

Penlitian ini bertujuan untuk mengetahui pelaksanaan proses pembelajaran di sekolah dasar dengan penedekatan kearifan lokal tanaman faloak (Sterculia quadrifida R.Br). Penelitian ini merupakan penelitian eksperimen semu (quasi eksperimen)  terhadap siswa dalam suatu kelas. Kegiatan pengolahan data dan analisis statistik yang dilakukan dengan bantuan program SPSS. Dalam penelitian ini menggunakan analisis varian multivariat yang diterjemahkan dari multivariate analsis of variance (MANOVA) satu jalur. Hasil menunjukkan sebagian besar skor siswa pada prettes cenderung rendah. rata-rata skor yang diperoleh pada prettest rata-rata 73,84, nilai tengah (median) 74,00, serta frekuensi kelompok (Modus) sebesar 75,00, nilai 5,909 adalah standar deviasi dan Varians 16,889. Rata-rata siswa kelas posttest berkisar antara rata-rata 81,00, nilai tengah 81,00, serta frekuensi kelompok (modus) sebesar 82,00. Nilai 5,909 adalah standar deviasi dan 34.918 adalah Varians. Hal ini menujukkan hasil posttest kelas literasi sains berada pada kategori sangat tinggi/sangat besar dibandingkan kelas pretest.sehingga dapat disimpulkan bahwa pelaksanaan pembelajaran berasaskan kearifan mampu meningkatkan literasi sains pada siswa sekolah dasar Oeba 3 Kota Kupang

PEMBELAJARAN IPA BERASASKAN PENGETAHUAN TEMPATAN TANAMAN FALOAK (Sterculia quadrifida R.Br) SEBAGAI SOLUSI PEMBELAJARAN IPA DI SEKOLAH DASAR

This paper aims to disclose the relationship of local wisdom owned by the Timor Island community, especially the city of Kupang and the competence that must be possessed by an educator who wants to combine science learning in elementary school with local wisdom. The method used is the literature review through reviewing related reference in the form of theory and research findings in scientific articles. The result obtained shows that the local knowledge can be integrated into modern natural sciences (IPA) learning in elementary school. The steps that the teachers may use in applying local potential in natural sciences (IPA) learning material in elementary school can be carried out by adjusting to the framework of the sociocultural study of education. The integration process of local wisdom in natural sciences teaching can be done by cultivating and a combination process. The expected benefit is to make natural sciences (IPA) more interesting to be studied at the elementary school level and to facilitate students to describe the concept of modern natural sciences (IPA) by applying the local knowledge around the school environment or residenc

Genome evaluation of Banana cultivars based on morphological character and Inter-Simple Sequence Repeat (ISSR) molecular marker

This study aims to evaluate the genome group and to investigate the genetic variability of banana cultivar using morphological character and ISSR molecular marker. Fourteen banana cultivars with genomic group AA, AAA, AAB, ABB, and BB was used. All samples were Identified morphologically based on minimal descriptors for bananas issued by the International Plant Genetic Resources Institute (IPGRI). Total genomic DNA was extracted using DNA Isolation Kit Promega Wizard®. ISSR primer was used in this study, including UBC834, UBC835, UBC843, UBC848, and UBC855. Clustering analysis was used to evaluate genome grouping of the banana cultivar. Clustering analysis of morphological character was performed using the unweighted pair group method with arithmetic mean (UPGMA) algorithm and Bray-Curtis coefficient similarity using Paleontological Statistics (PAST) software. Morphological and ISSR was successfully differentiate banana cultivars and relatively similar to previous genome grouping. However, pisang Triolin (AAB) must be evaluated since it belongs to AAA group. The identification of cultivars and classification of their genome groups based on morphological characteristics and proved by molecular markers will strengthen the establishment of Musa improvement strategy especially in Indonesia and ease the breeder to identify desirable traits of progenitor to be included in the breeding program

An immunocompromised dialysis patient with skin and bone lesions

Patients with chronic kidney failure have disturbances of immune function involving both innate and adaptive systems. These result in both immunodepression which increases susceptibility to infection and immunoactivation leading to a chronic inflammatory state [1]. Dialysis treatment may further aggravate aspects of this, especially the induction of inflammation. In addition, there is a growing number of patients who have returned to dialysis programmes following transplant failure. Many of these will have been intensively immunosuppressed, often over years or decades. These patients are at particular risk.Non peer reviewedFinal Published versio

The Effectiveness of Flash Card Media-Oriented Group Investigation Learning Models on Learning Outcomes of Elementary Students

The purpose of this study was to determine the effectiveness of the flash card media-oriented group investigation (GI) learning model on the learning outcomes of elementary students. The approach used in this study is a quantitative approach with pre-experimental methods and the type of One Group Pretest-Posttest design. With the overall population of SD Inpres Oeba 2 class V students 22 people. Sampling using nonprobability sampling saturated sampling where all members of the population are sampled. The data collection technique was obtained from a multiple choice written test. The data analysis technique used descriptive analysis and inferential statistics with the help of the SPSS version 22 application. The results showed that independent t-test data processing obtained a sig value of 0.000 <0.05, then Ha was accepted and H0 was rejected or in other words there was a significant difference between pretest and posttest classes in improving student learning outcomes in the material for the digestive tract of food in humans. Thus, the Flash Card Oriented Group Investigation (GI) learning model can improve the Learning Outcomes of Class V Students of SD Inpres Oeba 2 Kupang City

Support Vector Machine-based Fuzzy Systems for Quantitative Prediction of Peptide Binding Affinity

Reliable prediction of binding affinity of peptides is one of the most challenging but important complex modelling problems in the post-genome era due to the diversity and functionality of the peptides discovered. Generally, peptide binding prediction models are commonly used to find out whether a binding exists between a certain peptide(s) and a major histocompatibility complex (MHC) molecule(s). Recent research efforts have been focused on quantifying the binding predictions. The objective of this thesis is to develop reliable real-value predictive models through the use of fuzzy systems. A non-linear system is proposed with the aid of support vector-based regression to improve the fuzzy system and applied to the real value prediction of degree of peptide binding. This research study introduced two novel methods to improve structure and parameter identification of fuzzy systems. First, the support-vector based regression is used to identify initial parameter values of the consequent part of type-1 and interval type-2 fuzzy systems. Second, an overlapping clustering concept is used to derive interval valued parameters of the premise part of the type-2 fuzzy system. Publicly available peptide binding affinity data sets obtained from the literature are used in the experimental studies of this thesis. First, the proposed models are blind validated using the peptide binding affinity data sets obtained from a modelling competition. In that competition, almost an equal number of peptide sequences in the training and testing data sets (89, 76, 133 and 133 peptides for the training and 88, 76, 133 and 47 peptides for the testing) are provided to the participants. Each peptide in the data sets was represented by 643 bio-chemical descriptors assigned to each amino acid. Second, the proposed models are cross validated using mouse class I MHC alleles (H2-Db, H2-Kb and H2-Kk). H2-Db, H2-Kb, and H2-Kk consist of 65 nona-peptides, 62 octa-peptides, and 154 octa-peptides, respectively. Compared to the previously published results in the literature, the support vector-based type-1 and support vector-based interval type-2 fuzzy models yield an improvement in the prediction accuracy. The quantitative predictive performances have been improved as much as 33.6\% for the first group of data sets and 1.32\% for the second group of data sets. The proposed models not only improved the performance of the fuzzy system (which used support vector-based regression), but the support vector-based regression benefited from the fuzzy concept also. The results obtained here sets the platform for the presented models to be considered for other application domains in computational and/or systems biology. Apart from improving the prediction accuracy, this research study has also identified specific features which play a key role(s) in making reliable peptide binding affinity predictions. The amino acid features "Polarity", "Positive charge", "Hydrophobicity coefficient", and "Zimm-Bragg parameter" are considered as highly discriminating features in the peptide binding affinity data sets. This information can be valuable in the design of peptides with strong binding affinity to a MHC I molecule(s). This information may also be useful when designing drugs and vaccines