Students' Cognitive Analysis using Rasch Modeling as an Assessment for Planning of Strategies in Chemistry Learning

Rasch modelling based on assessment can help teachers analyze the students' cognitive knowledge level and development. However, teachers are considered unsuccessful in teaching where the achievement of indicators in learning science, such as chemistry, is not holistically actualized. This study aimed to analyze High School students' knowledge in Banjarmasin City, especially on students' knowledge (cognitive aspect), using the Rasch modelling data analysis technique and exploring how chemical learning strategies are planned based on the symptoms of the data obtained. The data collection technique used a dichotomous format test technique (multiple choices). The research method used was descriptive with a quantitative approach to examine Rasch's various data, which was then interpreted qualitatively to describe the issues raised. The study results show that person reliability (students) based on Rasch modelling anal­ysis is +0.79, and item reliability is +0.98, where the value indicates that the consistency of the participant response pattern is "sufficient." Then, the mean person measure is -0.07, while the mean item is 0.00. It means that the participants' "mean value" is below the "mean value" of the item that the students' ability is below the item's ability. The Rasch data's recapitulation value showed that the response patterns of various data symptoms and those data were interpreted. It showed students' knowledge of atomic structure material was still considered low based on the Rasch model criteria. This is a reference for making appropriate chemical learning strategy plans to improve their knowledge. In conclusion, Rasch modelling-based assessment is effectively used in analyzing students' (cognitive) ability on atomic structure material. These results produce a strategic plan like what in chemistry learning such as the importance of conducting further diag­noses using misconception tests, identifying students' learning styles, constructing stu­dents' knowledge through the concept of chemical representation, and developing appropriate learning media according to their needs (students)

PENGEMBANGAN E-MODUL BERBASIS MODEL SCIENTIFIC CRITICAL THINKING (SCT) UNTUK MENINGATKAN LITERASI SAINS DAN HASIL BELAJAR PESERTA DIDIK PADA MATERI LARUTAN PENYANGGA

Penelitian pengembangan ini bertujuan untuk mengetahui validitas, praktikalitas dan efektifitas produk e-modul berbasis model Scientific Critical Thinking (SCT) yang dikembangkan. Metode penelitian yang digunakan dalam penelitian pengembangan ini adalah Research and Development (R&D) dengan model pengembangan 4-D yang termodifikasi menjadi 3-D yaitu: pendefinisian (define), perancangan (design) dan pengembangan (develop). Pada tahap penyebaran (disseminate) dalam penelitian ini tidak dilakukan dikarenakan keterbatasan waktu dan keadaan. E-modul yang dikembangkan di uji cobakan pada 15 orang peserta didik kelas XI MIPA 4 SMA Negeri 4 Banjarmasin. Hasil penelitian menunjukkan bahwa e-modul yang dikembangkan memenuhi kriteria: (1) Validitas yang berkategori sangat valid dilihat dari aspek kelayakan isi, penyajian, bahasa, dan media; (2) Praktikalitas yang berkategori baik pada uji perorangan dan uji kelompok kecil; kategori baik pada data respon peserta didik; kategori sangat baik pada data respon pendidik; kategori baik pada aktivitas pendidik menggunakan e-modul dan kategori sangat baik pada aktivitas pendidik mengelola kelas; (3) efektifitas dengan nilai N-gain literasi sains dan hasil belajar yang berkategori tinggi. Sehingga dapat disimpulkan bahwa e-modul berbasis model Scientific Critical Thinking (SCT) telah memenuhi aspek validitas, praktikalitas dan efektifitas

REDUCTION OF STUDENT MISCONCEPTIONS: APPLICATION OF TTW-PBL LEARNING WITH CHEMICAL REPRESENTATION ON BUFFER SOLUTION MATERIALS

The research was conducted on the chemical representation of buffer solution learning through multi-model TTW-PBL learning to determine the understanding of chemical representation and reduce students' misconceptions. The method used is a quasi-experimental design with a non-equivalent control group. The samples of this study were students of class XI MIPA 1 as the experimental class and XI MIPA 3 as the control class at SMAN 11 Banjarmasin. The independent variables are the TTW-PBL learning model in chemical representation and the PBL model in chemical representation. In contrast, the dependent variable is the understanding of chemical representations and misconceptions. The data analysis technique used descriptive and inferential analysis techniques. Descriptive analysis was used to find out the differences in students' misconceptions. The inferential analysis uses a t-test to analyze differences in understanding of chemical representations. The results showed significant differences in the understanding of chemical representation in the class using the multi-model TTW-PBL and PBL model with a value of tcount ttable = 2.15 1.99 and the percentage of misconceptions of 16.57% and 23.24%, respectively. Finally, TTW-PBL learning with Chemical Representation can reduce students misconception

PENGEMBANGAN MEDIA ELECTRONIC CHEMISTRY POCKET BOOK (E-CPB) TERINTEGRASI MIND MAPPING SEBAGAI MEDIA PEMBELAJARAN UNTUK MENINGKATKAN HASIL BELAJAR PADA MATERI KOLOID BERKONTEN LAHAN BASAH

Pengembangan Electronic Chemistry Pocket Book (E-CPB) terintegrasi mind mapping pada materi koloid berbasis lahan basah bertujuan untuk mengetahui validitas, praktikalitas dan efektifitas. Metode penelitian yang digunakan adalah PPE yang terdiri dari (planning) (production), dan (evaluation). Subjek penelitian ini yaitu 32 orang peserta didik kelas XI MIPA 2 SMA Negeri 2 Banjarmasin. Hasil penelitian menunjukkan bahwa e-book yang dikembangkan dinyatakan valid dari aspek kelayakan  isi 94,54%, penyajian 87,27%, bahasa 86,81% dan media 93,75% dengan kategori masing-masing sangat valid. E-book yang telah memenuhi memenuhi aspek praktikalitas dilihat dari angket keterbacaan e-book pada uji perorangan memperoleh rata-rata 3,44 dan kelompok kecil memperoleh rata-rata 3,4 dengan  kategori sangat baik. Angket respon guru dan peserta didik memperoleh skor masing-masing 3,4 dengan ketegori sangat baik. Lembar praktikalitas menggunakan e-book rata rata 3,42 hari pertama, 3,60 hari kedua, 3,67 hari ketiga kategori sangat baik serta lembar praktikalitas guru mengelola kelas rata-rata 3,31 hari pertama, 3,64 hari kedua, 3,71 hari ketiga dengan ketegori sangat baik. E-book juga telah memenuhi aspek efektifitas yang dilihat berdasarkan N-gain 0,86 termasuk dalam kategori tinggi

MENINGKATKAN KETERAMPILAN BERPIKIR KRITIS MENGGUNAKAN MODEL PEMBELAJARAN LEARNING CYCLE 6E BERBASIS MULTIPLE REPRESENTASI PADA MATERI ASAM-BASA

Telah dilaksanakan penelitian dengan menerapkan pembelajaran model Learning Cycle 6E berbasis multi-representasi materi asam basa. Tujuan penelitian meningkatkan keterampilan berpikir kritis peserta didik kelas XI MIPA 4 SMAN 2 Banjarmasin sebanyak 36 peserta didik Tahun Ajaran 2019/2020. Penelitian ini merupakan Penelitian Tindakan Kelas dengan instrumen penilaian berupa tes dan non tes. Faktor yang diteliti berupa (1) aktivitas guru, (2) aktivitas peserta didik, (3) keterampilan berpikir kritis dan (4) respon. Teknik pengumpulan data dengan teknik observasi, teknik angket dan tes keterampilan berpikir kritis. Hasil penelitian menunjukan bahwa (1) Aktivitas guru pada siklus I dengan skor 54,67 meningkat menjadi skor 63,34 pada kategori aktif pada siklus II, (2) Aktivitas peserta didik siklus I dengan6 skor 54,21 meningkat menjadi skor 65,08 pada kategori sangat aktif pada siklus II (3) Keterampilan berpikir kritis peserta didik siklus I dengan persentase rata-rata 41,11% kategori cukup kemudian naik menjadi 81,48% pada kategori sangat kritis pada siklus II, (4) Respon peserta didik menunjukan kategori baik. Model pembelajaran Learning Cycle 6E berbasis Multiple Representasi dari hasil penelitian diketahui mampu meningkatkan keterampilan berpikir kritis peserta didik pada materi asam basa

PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ANDROID BERKONTEKS LAHAN BASAH MENGGUNAKAN MODEL INKUIRI TERBIMBING UNTUK MENINGKATKAN LITERASI SAINS PESERTA DIDIK PADA MATERI LARUTAN PENYANGGA

Penelitian pengembangan media pembelajaran berbasis android berkonteks lahan basah bertujuan menghasilkan media yang valid, praktis dan efektif. Model pengembangan yang digunakan adalah model ADDIE. Uji coba media dilakukan pada peserta didik kelas XI MIPA SMAN 6 Banjarmasin. Teknik pengumpulan data menggunakan lembar validasi, angket keterbacaan, angket respon, dan instrumen tes. Analisis data menggunakan analisis deskriptif dan inferensial. Hasil penelitian menunjukkan bahwa media sangat valid dilihat dari aspek kelayakan isi, penyajian, dan bahasa. Kepraktisan media pada uji perorangan, uji kelompok kecil, dan angket respon peserta didik memperoleh kategori baik. Angket respon guru, tingkat kepraktisan guru menggunakan media dan tingkat kepraktisan kemampuan guru dalam keterlaksanaan pembelajaran memperoleh kategori sangat baik. Keefektifan media dilihat berdasarkan N-gain literasi sains peserta didik yang termasuk dalam kategori tinggi. Hasil dari penelitian ini menunjukkan media yang dikembangkan dinyatakan layak, efektif, dan dapat digunakan dalam pembelajaran kimia

Deep learning and localized features fusion for medical image classification

Local image features play an important role in many classification tasks as translation and rotation do not severely deteriorate the classification process. They have been commonly used for medical image analysis. In medical applications, it is important to get accurate diagnosis/aid results in the fastest time possible. This dissertation tries to tackle these problems, first by developing a localized feature-based classification system for medical images and using these features and to give a classification for the entire image, and second, by improving the computational complexity of feature analysis to make it viable as a diagnostic aid system in practical clinical situations. For local feature development, a new approach based on combining the rising deep learning paradigm with the use of handcrafted features is developed to classify cervical tissue histology images into different cervical intra-epithelial neoplasia classes. Using deep learning combined with handcrafted features improved the accuracy by 8.4% achieving 80.72% exact class classification accuracy compared to 72.29% when using the benchmark feature-based classification method --Abstract, page iv

The Association Between Known Risk Factors for Type 2 Diabetes, and the Body Mass Index of Diabetic Adults

Diabetes mellitus (DM) has been a major research topic in scientific health studies. Diabetes is a chronic condition in which blood glucose levels are chronically elevated to more than 7.0 mmol/l in fasting plasma glucose test. The most common form of diabetes is Type 2 (TD2M). The International Diabetes Federation (2015) estimated the number of DM cases worldwide to be 415 million people in 2015. This number is predicted to increase by the year 2040, to 642 million people. The purpose of this study was to use the National Health Interview Survey (NHIS) data to identify the risk factors for TD2M and their associations with the obesity as measured by the Body Mass Index (BMI) of diabetic and non-diabetic U.S. adults. The study findings for adults with diabetes included: (a) BMIs decreased as people aged, (b) females tended to have higher BMIs than males, (c) people who are Asian or Hispanic had lower BMIs, (e) smokers had lower BMIs than non-smokers, and (f) people who are more physically active had lower BMIs than less active people. For non-diabetic adults, relationships between BMI and age, gender, ethnicity, geographic region, education, physical activity, and smoking were significant. The relatively low R2 s, however, may indicate that salient variables were absent. Risk factors that might have been included in the IHIS are health history, genetics, diet, and Social relationships