Atmospheric learning: Pengembangan digital mind maps berbantuan mind mapping software untuk siswa Geografi SMA

Learning media is a tool for students to make learning easier. Mind map digital is a learning media in the form of mind maps with the help applications of mindset mind manager presentation. The main objective of developing mind maps is to produce digital-based products for class X students on material atmospheric. This media can be a reference for the latest material, examples and learning resources around the atmosphere to provide students with an easy understanding of the lesson. The mind map digital developed has been tested internally by media experts and material experts. The final results are in the form of a digital mind map product design that has been revised based on suggestions and recommendations from each validator. This research and development use the modified ADDIE’s model only in the ADD section with research procedures namely goal formulation, media design, media validation. The research subjects were 28 students of class X IPS 4 in SMA 2 Batu. The research data used included the results of the media feasibility questionnaire, while the techniques data analysis used descriptive analysis to process the trial data. The results showed that digital mind maps were feasible to be used in the learning process with each gaining scores from material experts 98 percent and media experts 79 percent. Then the assessment or product response from students as research subjects get a value of 80.02 percent. Media pembelajaran merupakan alat bantu untuk peserta didik agar memberikan kemudahan dalam belajar. Mind map digital adalah media pembelajaran dalam bentuk peta pikiran dengan berbantuan aplikasi presentasi mindjet mindmanager. Tujuan utama pengembangan mind map adalah menghasilkan produk berbasis digital untuk peserta didik kelas X pada materi atmosfer. Media ini dapat menjadi rujukan materi, contoh, dan sumber belajar terbaru seputar atmosfer untuk memberikan peserta didik kemudahan dalam memahami pelajaran. Mind map digital yang dikembangkan telah di uji internal oleh ahli media dan ahli materi. Hasil akhir berupa rancangan desain produk mind map digital yang telah direvisi berdasarkan saran dan rekomendasi dari masing-masing validator. Penelitian dan pengembangan ini menggunakan model ADDIE yang dimodifikasi hanya pada bagian ADD dengan prosedur penelitian yaitu perumusan tujuan, desain media, validasi media. Subjek penelitian adalah 28 peserta didik kelas X IPS 4 SMA 2 Batu. Data penelitian yang digunakan meliputi hasil angket kelayakan media, sedangkan teknik analisis data menggunakan analisis deskriptif untuk mengolah data hasil uji coba. Hasil penelitian menunjukkan bahwa mind map digital layak digunakan dalam proses pembelajaran dengan masing-masing memperoleh nilai dari ahli materi 98 persen dan ahli media 79 persen. Kemudian penilaian atau tanggapan produk dari peserta didik selaku subjek penelitian mendapatkan nilai 80,02 persen.

Development Of Augmented Reality Application As A Mathematics Learning Media In Elementary School Geometry Materials

The problem of this research is the lack of interactive learning media on elementary school geometry which makes it difficult for students to understand the explanation that conveyed by the teacher. This research aims to design geometrical mathematics learning media especially cubes and blocks based on Augmented Reality technology for fifth-grade elementary school students and to know the level of product worthiness from the subject and validator. The development process of this research consists of five steps like Analysis, Design, Development, Implementation, and Evaluation. The data collection method used was a closed questionnaire. The results of the research questionnaire were analyzed using a Likert scale analysis, so the following results are obtained: The results trial of the material expert validator showed a percentage of 92.50% which is included in the excellent category with very decent information. Media design expert validator with a percentage of 93.00% which is included in the excellent category with very decent information. Product response of three elementary school teachers with a percentage score of 89.33% included in the very good category. Product responses of fifteen elementary school students with a percentage score of 83.73% with a very good category. It was concluded that the application of elementary geometrical mathematics learning media based on Augmented Reality technology can be used in elementary schools as a medium for learning mathematics.

Optimizing Commodity Properties of Extruded Snack Product using RSM

Rice legume blends were used for the formulation of an extruded product. Response surface methodology (RSM) being a statistical technique was used to evaluate the effect of cowpea (0-20%), groundnut or peanut (0-10%), and feed moisture (14-48%) levels on quality response (moisture of product, ratio of expansion, bulk density, color) of the extruded product. Responses were formulated by box behnken method. Responses were affected most by changes in legume addition and feed moisture. The optimum condition was estimated as level of cowpea 10.64%, level of groundnut 4.14% and level of feed moisture 35.42%.

Development of a fruit smoothie with solid albumen of green coconut

ABSTRACT: The present study aimed to develop a mixed smoothie drink using the solid albumen of the green coconut in its composition. Smoothie formulations were prepared following an experimental design, setting the solid albumen concentration at 20% and varying the contents of the acerola (Barbados Cherry), pineapple, and coconut water pulps, which corresponded to 80% of the total mass of the product. Response parameters evaluated were vitamin C content, antioxidant capacity, and overall sensory acceptance. Ten formulations were evaluated. The ones that contained higher concentrations of acerola pulp had higher values of bioactive compounds but were not the most sensorially accepted. By means of the desirability function, a final formulation consisted of 52.8% of pineapple, 27.2% of acerola, and 20.0% of solid albumen of green coconut. This new formulation was well accepted, with a grade (score) 7 (“good”). It represents a good nutritional contribution and a source of vitamin C which can contribute to add value to a co-product of the beverage industry.

Statistical Optimization of Process Parameters for Lipase-Catalyzed Synthesis of Triethanolamine-Based Esterquats Using Response Surface Methodology in 2-Liter Bioreactor

Lipase-catalyzed production of triethanolamine-based esterquat by esterification of oleic acid (OA) with triethanolamine (TEA) inn-hexane was performed in 2 L stirred-tank reactor. A set of experiments was designed by central composite design to process modeling and statistically evaluate the findings. Five independent process variables, including enzyme amount, reaction time, reaction temperature, substrates molar ratio of OA to TEA, and agitation speed, were studied under the given conditions designed by Design Expert software. Experimental data were examined for normality test before data processing stage and skewness and kurtosis indices were determined. The mathematical model developed was found to be adequate and statistically accurate to predict the optimum conversion of product. Response surface methodology with central composite design gave the best performance in this study, and the methodology as a whole has been proven to be adequate for the design and optimization of the enzymatic process.

Estimation of Product Response: The Empirical Similitude Method and Technique of Conformal Mapping

Functional testing of representative prototypes is an important phase in the evolution of most products. Layer Fabrication methods, importantly the Selective Laser Sintering (SLS) process allow for quick fabrication of test prototypes such that the experimental data derived from them can be used to predict the response of a hypothetical product for a desired variable of interest. Traditional Similitude Method (TSM) or Buckingham π theorem has been used conventionally for dimensional analysis to correlate the similarity between different structures. Some of its inherent limitations have prompted researchers to include the effects of non-linear material variations and geometric distortions during the scaling process. Thus, the development of the Empirical Similitude Method (ESM) is largely based on the hypothesis that these non-linear variations and distortions can be captured mathematically by using intermediate test specimens. In an effort to improve ESM, conformal mapping has been hypothesized to be an important technique for scaling and analysis. This paper explores the technique of Conformal Mapping as a potential equivalence procedure based on the principle of ESM. The methodology is elucidated along with a heat transfer example.