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All Journal agriTECH Unnes Journal of Mathematics Education Research
Puspitasari, Elsa
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Agriculture, Biological Sciences & Forestry Education Mathematics

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Mathematical Spatial Ability Reviewed from Students’ Self-Confidence in the PBL Model with Teacher and Peer feedbacks Assisted by Geogebra Puspitasari, Elsa; Kartono, Kartono; Junaedi, Iwan
Unnes Journal of Mathematics Education Research Vol 10 No A (2021): January, 2021 (Special Edition)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (714.327 KB)

Abstract

This research aims to describe mathematics spatial skill reviewed from the self-confidence of students in high, moderate, and low categories. This research was conducted in the eighth grade JHS Hasannudin 6 Semarang, in the academic year 2018/2019. This mixed-method research used a sequential explanatory strategy. It is a procedure to collect quantitative and qualitative data orderly. The technique of collecting quantitative data was done by mathematics-spatial skill test. Meanwhile, the qualitative data was done by documentation, questionnaire, and interview. The findings showed mathematics-spatial skill of each-category student’s self-confidence had various mastery indicators. The students with high-self-confidence tended to be more consistent in mastering spatial visualization, spatial relation, and mental rotation. The spatial-orientation and spatial-perception aspects of high self-confidence students were sometimes successful and sometimes not successful. The moderate-self-confidence students tended to master spatial visualization, spatial relation, and spatial orientation aspects. However, there were several subjects with moderate-self confidence in the five aspects. Subjects with low-self-confidence tended to be more consistent in mastering spatial visualization and spatial perception. There were subjects with low-self-confidence who only mastered four aspects of mathematics-spatial skills.
Chemical and Sensory Characteristics of Boranan Instant Chili Sauce with Different Coconut Milk Powder Concentration, Rice Flour, and Dry Grated Coconut Mardhiyyah, Yunita; Puspitasari, Elsa; Rahmat, Anni
agriTECH Vol 44, No 1 (2024)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.78470

Abstract

Sego Boranan is a special food from Lamongan, East Java. They are cooked rice with various dishes flavored with a special chili sauce called Boranan sauce. Sauce consists of many ingredients with complex process production. Therefore, the study aimed to make Boranan sauce formulation coming from dry-based ingredients. Conversion of Boranan sauce recipe from fresh ingredients into powder preparations was carried out using water content data. Coconut milk powder, rice flour, and dry-grated coconut concentration was optimized within 9 sample formulations. All the samples were observed in chemical and sensory characteristics. The parameters observed included pH, proximate test, and preference test (color, aroma, texture, spices taste, and overall). The best formulas were compared with freshly made Boranan sauce. The pH and water content were not influenced significantly, in the other hand, the others (color, fat content, texture, aroma, taste, and overall sensory parameters) showed significant differences. Based on the preference test, high preference with a score of 7.91 acceptance value from a 10 scale was gained by both K2S1R1 and K1S2R1 samples. Although the panelist gave a “like” score, both samples showed significant sensory acceptance and proximate value differences from fresh-made Boranan sauce. The selected formula K2S1R1 was made from 4.5% dry grated coconut, 2.25% coconut milk powder, and 2.25% rice flour. The Rehydrated K2S1R1 sample had 70.7% (wet basis) water content, 1.4% ash content, 17.5% absorbent content, 0.5% protein content, and 8.8% carbohydrate content.
Co-Authors Iwan junaedi Kartono - Mardhiyyah, Yunita Rahmat, Anni