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The Effect Intervals Using Sonic Bloom Technology On The Growth and Yield of Two Yellow Soybean Varieties Nuraliah Nuraliah
AGRONISMA Vol 10, No 2 (2022)
Publisher : AGRONISMA

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Abstract

The aims of this study were: to determine the interaction effect of using sonic bloom technology at various time intervals on the growth and yield of two yellow soybean varieties, to determine the effect of sonic bloom exposure intervals on soybean growth and yield, and to determine differences in growth and yield of two yellow soybean varieties ( Grobogan and Dega-1). Sonic bloom technology is a technology that combines high frequency sound waves with the application of organic nutrients. High-frequency sound waves are able to stimulate the leaf mouths (stomata) to remain open so as to increase the rate and efficiency of foliar fertilizer absorption (Iriani et al., 2005). The design used is a factorial RAK which consists of two factors. The first factor is the interval of using sonic blooms consisting of three levels (interval 5 days, intervals 10 days and intervals 15 days). The second factor is the type of variety consisting of two levels V1 and V2 (Grobogan, and Dega-1). The results showed that the use of various varieties showed a good average leaf area at the age of 35, 42, 49, 63, and 70 DAP, while the use of sonic bloom technology with 5-day intervals could increase the yield of the highest number of pods at the age of 50 DAP ( 21,22). The highest fresh seed weight was (2.09 g), the highest dry seed weight was (8.82 g).
The Effect Intervals Using Sonic Bloom Technology On The Growth and Yield of Two Yellow Soybean Varieties Nuraliah Nuraliah; Istirochah Pujiwati; Sunawan Sunawan
AGRONISMA Vol. 10 No. 2 (2022)
Publisher : AGRONISMA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The aims of this study were: to determine the interaction effect of using sonic bloom technology at various time intervals on the growth and yield of two yellow soybean varieties, to determine the effect of sonic bloom exposure intervals on soybean growth and yield, and to determine differences in growth and yield of two yellow soybean varieties ( Grobogan and Dega-1). Sonic bloom technology is a technology that combines high frequency sound waves with the application of organic nutrients. High-frequency sound waves are able to stimulate the leaf mouths (stomata) to remain open so as to increase the rate and efficiency of foliar fertilizer absorption (Iriani et al., 2005). The design used is a factorial RAK which consists of two factors. The first factor is the interval of using sonic blooms consisting of three levels (interval 5 days, intervals 10 days and intervals 15 days). The second factor is the type of variety consisting of two levels V1 and V2 (Grobogan, and Dega-1). The results showed that the use of various varieties showed a good average leaf area at the age of 35, 42, 49, 63, and 70 DAP, while the use of sonic bloom technology with 5-day intervals could increase the yield of the highest number of pods at the age of 50 DAP ( 21,22). The highest fresh seed weight was (2.09 g), the highest dry seed weight was (8.82 g).
The Influence of Family Environment on Learning Atten-tion and Learning Facilities at SD Negeri 1 Centre Pattal-lassang Nuraliah Nuraliah; Elpisah Elpisah; Saripuddin Saripuddin; Erni Rismawati; Suarlin Suarlin
International Journal of Humanities and Social Sciences Reviews Vol. 2 No. 4 (2025): International Journal of Humanities and Social Sciences Reviews
Publisher : Asosiasi Penelitian dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijhs.v2i4.562

Abstract

Family environments play a crucial role in shaping students’ learning processes, particularly at the primary education level. This study aims to examine the effect of the family environment on learning attention and the fulfillment of learning facilities and infrastructure among Grade VI students at UPT SD Negeri 1 Centre Pattallassang. Using a quantitative associative approach with an ex post facto design, data were collected from 85 students through a structured questionnaire and analyzed using descriptive statistics, simple linear regression, and canonical correlation analysis. The results indicate that the family environment has a positive and significant effect on learning attention (B = 0.631, p < 0.001) and on the fulfillment of learning facilities and infrastructure (B = 0.723, p < 0.001). The family environment explains 42.1% of the variance in learning attention and 48.6% of the variance in the fulfillment of learning facilities. Canonical correlation analysis further reveals a strong simultaneous relationship between the family environment and the combined outcomes of learning attention and learning facilities. These findings highlight the central role of the family as a key educational microsystem that supports both cognitive–affective engagement and material learning conditions. The study underscores the importance of strengthening school–family collaboration and family-based support strategies to enhance learning quality in primary education.