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All Journal Jurnal Sains dan Teknologi AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Elemen JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Ulul Albab Justek : Jurnal Sains Dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) Mosharafa: Jurnal Pendidikan Matematika Advance Sustainable Science, Engineering and Technology (ASSET)
Mehmood, Saba
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Humanities Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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PERFORMANCE EVALUATION OF NEWTON–KONTOROVICH AND ADAPTIVE NEWTON LINE SEARCH ON MULTIVARIATE NONLINEAR SYSTEMS Muslimin, Ikhwanul; Syaharuddin; Mandailina, Vera; Mehmood, Saba; Raza, Wasim
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.7370

Abstract

Solving multivariate nonlinear systems is essential in engineering, physics, and applied sciences. This study compares the performance of two numerical methods—Newton–Kontorovich and Interactive Newton–Raphson with Line Search—on trigonometric and exponential nonlinear systems. The methods are evaluated based on convergence rate, accuracy, and iteration efficiency through numerical simulations using MATLAB. The Newton–Kontorovich method, typically used for integral or differential equations, is compared with the adaptive line search strategy that enhances global convergence. Results show that the Interactive Newton–Raphson method achieves a smaller final error (5.95×10⁻²) with stable convergence, while Newton–Kontorovich converges in fewer iterations but with larger error (3.126). These findings highlight the superiority of adaptive strategies for complex nonlinear systems. Practical implications include improved numerical reliability for applications in structural engineering, optimization, and scientific modeling.
Effectiveness of AI-Based Smart Agriculture Innovation Communication Through the Agrimind Application in Increasing Young Generation’s Interest in Farming Rifky, Mohammad; Purwati, Eli; Tricana, Deny Wahyu; Mehmood, Saba; Raza, Wasim
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37787

Abstract

The low interest among the younger generation in entering the agricultural sector, as well as the challenges of farmer succession in Indonesia, are the primary issues underlying this study. This study aims to analyze the effectiveness of communicating smart agriculture innovations based on artificial intelligence (AI) through the Agrimind application in increasing young people’s interest in the agricultural sector. This study employs a quantitative descriptive approach, with data collected via a questionnaire administered to 140 respondents from the younger generation in Ponorogo Regency. The collected data was subsequently processed using descriptive statistical analysis methods and tested for validity and reliability. The findings indicate that 70% of respondents support the implementation of modern technology and AI-based training for young farmers. Respondents believe that the use of the Agrimind application can help improve efficiency, attract the interest of young farmers, and strengthen collaboration between senior farmers and the younger generation who are tech-savvy. These findings demonstrate that AI-based agricultural innovation communication holds significant potential for transforming the younger generation’s perception of the agricultural sector, improving farmers’ work efficiency, and strengthening farmer succession in the digital era.
Co-Authors Abdillah Abdillah Abdillah Adzikya, Dieky Aftab Ahmad, Aftab Asmaul Husnah Balasubramanian, Deepa Chidambaram, Natarajan Dieky Adzkiya Eli Purwati, Eli Fitriatunnisa, Ririn Hameed, Shahzaib Hussain, Muhammad Jafar Intan Dwi Hastuti Iqbal, Zainab Kamran, Muhammad Khan, Aamir Hussain Mahsup Mariyati, Yuni Meyundasari, Maulidia Dwi Muslimin, Ikhwanul Nadila, Desi Raza, Sajid Raza, Wasim Rifky, Mohammad Subchan, Subchan Syaharuddin Syaharuddin Syaharuddin Syaharudin, Syaharudin Tricana, Deny Wahyu Usman, Muhammad Talha Vera Mandailina Vera Mandailina, Vera Wasti, Syeda Rabbia