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Riset : Jurnal Ilmiah Multidisiplin Ilmu
Published by PT. Ahlal Publisher Nusantara
ISSN : -     EISSN : 31238475     DOI : https://doi.org/10.66914/riset
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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.
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Articles 59 Documents
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The Influence Of Character Management And Learning Material Mastery On The Competence Of Public Vocational High School Teachers In Minahasa Regency Imelda Moonik; Romi J. Mongdong; Zoya F. Sumampouw
Riset : Jurnal Ilmiah Multidisiplin Ilmu Volume 1, Nomor 3 April 2026
Publisher : PT. AHLAL PUBLISHER NUSANTARA

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Abstract

This study investigates the influence of teacher character management and learning material mastery on the competence of public vocational high school teachers in Minahasa Regency, analyzing both factors partially and simultaneously. Employing a quantitative explanatory approach with a cross-sectional survey design, the study involved a sample of 105 teachers selected through proportional stratified random sampling from a population of 355 teachers across 11 public vocational high schools. The study utilized a validated Likert-scale questionnaire, with data analysis including descriptive statistics, validity and reliability tests, classical assumption tests, and multiple linear regression using SPSS version 27. The results revealed that teacher character management significantly positively affects teacher competence (t=18.914; p<0.001; R²=0.776), as does learning material mastery (t=18.690; p<0.001; R²=0.772), with both variables together explaining 77.7% of teacher competence variance (F=177.214; p<0.001; R²=0.777). The high correlation (r=0.997) between these two variables indicates a strong synergy between soft and hard competences in shaping teacher competence. The study concludes that the integrative soft-hard competence model is a powerful predictor of vocational teacher competence, recommending professional development programs that combine character development with enhancing TPACK/AI-TPACK mastery, along with policies for industrial internships of at least 40 hours per year for vocational teachers. Keywords: teacher character management, learning material mastery, teacher competence, TPACK, AI-TPACK, vocational high school, Minahasa
Analisis Hukum Terhadap Penyalahgunaan Artificial Intelligence Dalam Kejahatan Siber Auzahra Yusveralda Juinko Cinta Prasgita; M. Rian Adam Pratama; Satrya Hutama Alaniani T; Steven Fancius Simanjuntak; Rakha Valiant Mardinata; Wahyu Dwi Anggraeni Putri
Riset : Jurnal Ilmiah Multidisiplin Ilmu Volume 1, Nomor 3 April 2026
Publisher : PT. AHLAL PUBLISHER NUSANTARA

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Abstract

Perkembangan teknologi informasi pada era digital telah melahirkan berbagai inovasi, salah satunya Artificial Intelligence yang memberikan kemudahan dalam berbagai bidang kehidupan. Namun, di sisi lain perkembangan teknologi tersebut juga menimbulkan permasalahan hukum baru, terutama dalam bentuk kejahatan siber yang semakin kompleks. Penggunaan kecerdasan buatan memungkinkan terjadinya peretasan sistem, pencurian data, manipulasi informasi, serta penipuan digital yang dilakukan secara otomatis sehingga menimbulkan kesulitan dalam penegakan hukum. Pengaturan hukum yang berlaku di Indonesia pada dasarnya telah mengatur mengenai kejahatan siber melalui Undang-Undang Informasi dan Transaksi Elektronik serta peraturan terkait lainnya, namun belum secara khusus mengatur mengenai penyalahgunaan Artificial Intelligence sebagai sarana dalam melakukan tindak pidana. Tujuan dari penulisan ini adalah untuk menganalisis pengaturan hukum terhadap penyalahgunaan Artificial Intelligence dalam kejahatan siber, serta untuk mengetahui bentuk pertanggungjawaban hukum terhadap pelaku yang menggunakan teknologi tersebut. Metode penelitian yang digunakan adalah penelitian hukum normatif dengan pendekatan perundang-undangan, konseptual, dan kasus. Hasil pembahasan menunjukkan bahwa perkembangan teknologi kecerdasan buatan menimbulkan kompleksitas dalam penegakan hukum karena sistem dapat bekerja secara otomatis dan melibatkan banyak pihak. Dalam hal ini, pertanggungjawaban hukum pada prinsipnya tetap dibebankan kepada manusia sebagai pelaku, baik sebagai pembuat, pengguna, maupun pihak yang memperoleh keuntungan dari penggunaan teknologi tersebut. Oleh karena itu, diperlukan pembaruan regulasi yang lebih adaptif, penguatan penegakan hukum, serta peningkatan literasi digital masyarakat agar penyalahgunaan Artificial Intelligence dalam kejahatan siber dapat dicegah dan kepastian hukum dapat terwujud. Kata kunci: Artificial Intelligence; Kejahatan Siber; Pertanggungjawaban Hukum; Teknologi Informasi; Hukum. Abstract The development of information technology in the digital era has led to various innovations, one of which is Artificial Intelligence that provides convenience in many aspects of human life. However, the advancement of this technology also creates new legal problems, particularly in the form of increasingly complex cybercrime. The use of artificial intelligence enables system hacking, data theft, information manipulation, and digital fraud carried out automatically, which causes difficulties in law enforcement. The existing legal regulations in Indonesia have generally governed cybercrime through the Law on Electronic Information and Transactions and other related regulations, but they have not specifically regulated the misuse of Artificial Intelligence as a means of committing criminal acts. The purpose of this study is to analyze the legal regulation of the misuse of Artificial Intelligence in cybercrime and to examine the form of legal responsibility for perpetrators who use such technology. This research uses normative legal research with statutory, conceptual, and case approaches. The results show that the development of artificial intelligence technology creates complexity in law enforcement because the system can operate automatically and involve multiple parties. In principle, legal responsibility remains imposed on humans as perpetrators, either as developers, users, or parties who benefit from the use of the technology. Therefore, more adaptive legal regulations, stronger law enforcement, and improved digital literacy are needed in order to prevent the misuse of Artificial Intelligence in cybercrime and to ensure legal certainty for society. Keywords: Artificial Intelligence; Cybercrime; Legal Responsibility; Information Technology; Law.
The Effect Of Principal Academic Supervision And Teacher Performance On Student Learning Outcomes In Elementary Schools In South Kotamobagu District, Kotamobagu City Wiwin Herswinda Mamonto; Meisie L. Mangantes; 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

This study aims to analyze the effect of principal academic supervision and teacher performance on student learning outcomes in elementary schools in South Kotamobagu District, Kotamobagu City. This study employed a quantitative approach using an ex post facto method, as the variables were observed based on existing conditions without any experimental treatment. The population consisted of teachers and students, with samples including teachers and fifth-grade students selected through purposive sampling technique. Data were collected through questionnaires, observation, and documentation. Questionnaires were used to measure principal academic supervision and teacher performance, observation was conducted to support data related to the learning process, while documentation was used to obtain student learning outcomes data. The collected data were analyzed using simple linear regression and multiple linear regression techniques. Prior to hypothesis testing, prerequisite tests were conducted, including normality, linearity, and multicollinearity tests to ensure the appropriateness of the data. The results of the analysis indicate that principal academic supervision has a positive and significant effect on student learning outcomes with a significance value of 0.004 < 0.05. Teacher performance also shows a positive and significant effect on student learning outcomes with a significance value of 0.000 < 0.05. Furthermore, simultaneously, principal academic supervision and teacher performance have a significant effect on student learning outcomes with a significance value of 0.000 < 0.05. These findings indicate an interrelated relationship between academic supervision, teacher performance, and student learning outcomes in the learning process at the elementary school level. Keywords: academic supervision, teacher performance, learning outcomes
The Effect of Teacher Working Groups (Kelompok Kerja Guru/KKG) on the Pedagogical Competence and Performance of Elementary School Teachers in South Touluaan District, Southeast Minahasa Regency Gloria Ritsita Lengkong; Richard D.H. Pangkey; Aldjon N. Dapa
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 examine the influence of the Teacher Working Group (Kelompok Kerja Guru/KKG) on the pedagogical competence and performance of elementary school teachers in South Touluaan District, Southeast Minahasa Regency. Teacher competence, especially pedagogical competence, plays an important role in improving the quality of learning and student outcomes. The KKG serves as a professional forum for teachers to collaborate, share experiences, and improve their teaching skills. However, its implementation is not yet fully optimal. Therefore, this study investigates the extent to which participation in KKG contributes to improving teachers’ pedagogical competence and performance in the classroom. The results of this study are expected to provide input for improving teacher professional development programs. Keywords: Teacher Working Group (KKG), pedagogical competence, teacher performance, elementary school teachers, professional development
Evaluation Of The Implementation Of Deep Learning Approach Based On Context, Input, Process, Product (CIPP) In Elementary Schools Of Tomohon City Jamalri Pajow; Joulanda A.M. Rawis; Non Norma Monigir
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 evaluate the implementation of the deep learning approach based on the CIPP (Context, Input, Process, Product) model in elementary schools in Tomohon City. It employs a qualitative approach with an evaluative research type. The research subjects consisted of principals, teachers, and students at SD GMIM IV and SD GMIM 7 Tomohon. Data collection techniques included observation, interviews, and documentation. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The results show that: (1) the context aspect has a strong foundation, supported by student needs and the Merdeka Curriculum policy; (2) the input aspect shows adequate resource readiness, yet teacher competency still needs improvement; (3) the process aspect has moved toward active learning, although not consistently across all classrooms; and (4) the product aspect shows increased student motivation, participation, and learning outcomes. In conclusion, the implementation of CIPP-based deep learning in Tomohon City elementary schools has been running well, but still requires strengthening in the process aspect and teacher competency development for more optimal results. Keywords deep learning, CIPP evaluation, elementary school, Merdeka curriculum
The Use of Canva's AI Features on Visual and Linguistic Creativity in Creating Advertising Texts in Indonesian Language Learning for Junior High School Students Fanny Claudia Pangemanan; Fince L Sambeka; Santje Iroth
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 describe the use of Artificial Intelligence (AI) features in the Canva application to enhance the visual and linguistic creativity of eighth-grade students in creating advertising texts in Indonesian language learning at SMP Negeri III Manado. This research employed a descriptive qualitative approach to deeply describe the learning process, student work, and student responses to the use of AI-based Canva. The subjects consisted of an Indonesian language teacher and eighth-grade students. Data were collected through learning observations, interviews, and documentation, specifically 20 public service advertisements produced by students on social campaign themes such as energy saving and anti-bullying. Data analysis was conducted using the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The results indicate that the use of Canva's AI features, such as Magic Write, Text to Image, and Magic Design, positively contributes to the development of students' visual and linguistic creativity. Visual creativity was evident in students' ability to combine colors, illustrations, typography, and layout harmoniously and attractively. Linguistic creativity was reflected in the use of persuasive diction, effective sentences, and the alignment of the advertisement's content with its purpose and theme. It can be concluded that the use of AI-based Canva strongly supports creative, innovative learning of advertising texts, aligning with the Learning Outcomes (CP), Learning Objective Flow (ATP), and Phase D of the Merdeka Curriculum. Keywords: Canva AI Features, Visual Creativity, Linguistic Creativity, Advertising Text, Indonesian Language Learning.
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.
Persepsi Diri dan Pola Pikiran Individu yang Mengalami Anxiety Kronis Ulfa Laila Nazirah; Sri Nurhayati Selian
Riset : Jurnal Ilmiah Multidisiplin Ilmu Riset : Jurnal Ilmiah Multidisiplin Ilmu, Vol. 1, No. 4, Mei-Juni 2026
Publisher : PT. AHLAL PUBLISHER NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66914/riset.v1i4.57

Abstract

This study aims to explore self-perception and thought patterns among university students experiencing chronic anxiety using a qualitative descriptive approach. Data were collected from three students aged 18-25 through in-depth interviews and observation, analyzed via Miles and Huberman's interactive model. Findings reveal that chronic anxiety is triggered by fear of failure, past trauma, and social comparison, manifesting in somatic symptoms like heart palpitations and stomach issues. Negative self-perception (self-discrepancy) and catastrophic thinking (overthinking, intolerance of uncertainty) perpetuate the anxiety cycle, while spiritual coping such as prayer offers temporary relief. The conclusion highlights the need for professional interventions to enhance resilience and support in academic settings.

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