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Contact Name
Ahlal Kamal, S.Pd.I.,M.Pd.
Contact Email
Ahlal.pkl@gmail.com
Phone
+6285285123236
Journal Mail Official
redaksijurnalriset@gmail.com
Editorial Address
Jl. Jermani Husein, Desa Lokbangkai RT.07 No.039 Kecamatan Banjang Kab, Lok Bangkai, Kec. Banjang, Kabupaten Hulu Sungai Utara, Kalimantan Selatan 71416
Location
Kab. hulu sungai utara,
Kalimantan selatan
INDONESIA
Riset : Jurnal Ilmiah Multidisiplin Ilmu
ISSN : -     EISSN : 31238475     DOI : https://doi.org/10.66914/riset
Core Subject :
Riset: Jurnal Ilmiah Multidisiplin Ilmu is an inclusive scientific publication platform that publishes theoretical and applied research articles across various fields of study in Indonesia. The journal aims to expand scientific horizons, encourage cross-disciplinary collaboration, and facilitate innovative discussion for academics and practitioners. Its scope encompasses Social Sciences and Humanities, Natural Sciences, Technology and Engineering, Health and Medicine, Economics and Business, as well as Religious Studies and Cultural Studies.
Arjuna Subject : -
Articles 13 Documents
Search results for , issue "Volume 1, Nomor 3 April 2026" : 13 Documents clear
The Influence of Deep Learning Approach and Learning Motivation on Science Learning Outcomes of Phase C Elementary School Students in Cluster 1, South Tondano District Trinny Meifira Kalalo; Widdy H.F. Rorimpandey; Ni Dewi Eka Suwaryaningrat
Riset : Jurnal Ilmiah Multidisiplin Ilmu Volume 1, Nomor 3 April 2026
Publisher : PT. AHLAL PUBLISHER NUSANTARA

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Abstract

This study aims to determine the influence of the deep learning approach and learning motivation on science learning outcomes of Phase C elementary school students in Cluster 1, South Tondano District. This research employs a quantitative approach with a causal associative research type. The sample consisted of 112 students selected through purposive sampling and saturated sampling techniques. Data collection was conducted using a survey method with questionnaire instruments. Data analysis utilized simple linear regression and multiple linear regression with SPSS version 25 for Windows. The results showed that: (1) There is a positive and significant influence of the deep learning approach on science learning outcomes of Phase C elementary students by 40.2%, with tcalculated > ttable (8.595 > 1.981); (2) There is a positive and significant influence of learning motivation on science learning outcomes of Phase C elementary students by 53.5%, with tcalculated > ttable (11.244 > 1.981); and (3) There is a positive and significant influence of the deep learning approach and learning motivation together on science learning outcomes of Phase C elementary students by 62.9%, with Fcalculated > Ftable (92.306 > 3.080). In conclusion, the deep learning approach and learning motivation have a positive and significant influence on science learning outcomes of Phase C students in Cluster 1, South Tondano District.Keywords:Deep Learning Approach, Learning Motivation, Learning Outcomes
The Influence of Teacher Performance and Learning Motivation on Academic Achievement of 5th Grade Elementary School Students in Tomohon Tengah District Susan Wanda Ticoalu; Mozes M. Wullur; Widdy H.F. Rorimpandey
Riset : Jurnal Ilmiah Multidisiplin Ilmu Volume 1, Nomor 3 April 2026
Publisher : PT. AHLAL PUBLISHER NUSANTARA

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Abstract

Purpose: This study aims to examine the influence of teacher performance and learning motivation on the academic achievement of 5th-grade elementary school students in Tomohon Tengah District, either partially or simultaneously. Methodology: A quantitative approach with a survey method was employed. The population consisted of 141 fifth-grade students from seven elementary schools in Tomohon Tengah District. Using the Taro Yamane formula with a 10% precision level, a sample of 59 students was selected through proportional random sampling. Data were collected using validated and reliable questionnaires measured on a Likert scale. Data analysis included descriptive statistics, normality tests, linearity tests, simple linear regression, multiple linear regression, and correlation analysis using SPSS version 25.0. Findings: The results revealed that: (1) Teacher performance has a significant positive influence on student academic achievement (r = 0.788, R² = 62.1%, F = 93.415, p < 0.05); (2) Learning motivation has a significant positive influence on student academic achievement (r = 0.753, R² = 56.6%, F = 74.485, p < 0.05); (3) Teacher performance and learning motivation simultaneously have a significant influence on academic achievement (R = 0.846, R² = 71.5%, F = 70.263, p < 0.05). Teacher performance contributed a larger standardized coefficient (β = 0.516) compared to learning motivation (β = 0.410).Originality/Value: This research provides empirical evidence regarding the combined contribution of external factors (teacher performance) and internal factors (learning motivation) in shaping elementary school students' academic achievement in the context of Tomohon Tengah District. The findings offer practical implications for teachers, schools, and parents in improving educational quality at the elementary level.Keywords: Teacher Performance, Learning Motivation, Academic Achievement, Elementary School, Quantitative Study
Analisis Efektifitas Aplikasi SIATAP Pada Biro Sumber Daya Manusia Kantor BPIP Dilan Arya Saputra; Henry Eryanto; Muhammad Ikhwan
Riset : Jurnal Ilmiah Multidisiplin Ilmu Volume 1, Nomor 3 April 2026
Publisher : PT. AHLAL PUBLISHER NUSANTARA

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Abstract

This study aims to analyze the effectiveness of the SIATAP application in the Human Resources (HR) Bureau of the Pancasila Ideology Development Agency (BPIP). This study used a qualitative approach, collecting data through interviews with four informants directly involved in the use of the SIATAP application. The results indicate that the SIATAP application has been quite effective in supporting personnel administration management. This system is able to improve work efficiency, accelerate administrative processes, and enhance the accuracy and transparency of employee data. Furthermore, SIATAP also contributes to increased productivity and service quality within the HR Bureau. However, the effective implementation of SIATAP still faces several obstacles, such as dependence on internet connections and central servers, suboptimal integration with other systems, and differences in user understanding of how to operate the application.

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