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Journal : Journal of Educational Technology and Learning Creativity

Formulation of Red Bean Meatballs as a Local Food Alternative: Increasing Protein and Fiber Using Design Expert D-Optimal Yusnidar, Yusnidar; Kartika, Eti; Iqbal, Muhammad; Vitoekpon, Isaac; Husseini, Monir Mohamed El; Hagos, Habtamu; Khan, Younas
Journal of Educational Technology and Learning Creativity Vol. 1 No. 2 (2023): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v1i2.1405

Abstract

Purpose of the study: The purpose of this study was to produce an optimal red bean-based meatball formula using the Design Expert D-Optimal method, with a focus on increasing protein and fiber content and reducing fat content to support food diversification based on local ingredients. Methodology: The methodology of this study used red beans (Phaseolus vulgaris L.), Rose Brand cassava flour, and Segitiga Biru wheat flour. The tools included a Food Processor, digital scales, and texture analyzer. The analysis was carried out using the Kjeldahl method for protein, the Soxhlet method for fat, and Design Expert D-Optimal software was used for formula optimization. Main Findings: The main results of this study indicate that the optimal formula for red bean-based meatballs consists of 52% red beans, 18% cassava starch, and 11% wheat flour. This formula has the highest protein content of 15.50%, crude fiber content of 2.84%, and a chewy texture that is preferred by panelists. The attributes of color, taste, and aroma achieved the best hedonic value in the organoleptic test. Novelty/Originality of this study: The novelty of this research lies in the use of red beans as the main ingredient in making analog meatballs that are healthier, low in fat, and high in protein. In addition, the formula optimization method using Design Expert D-Optimal software provides a scientific approach to producing the best quality products, supporting local food diversification, and expanding the market potential of plant-based products in Indonesia
Smart Supervision: Leveraging ELISTA to Strengthen Student Motivation and Thesis Completion Kurniawan, Dwi Agus; Astalini, Astalini; Darmaji, Darmaji; Yusnidar, Yusnidar
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2446

Abstract

Purpose of the study: This study aims to examine how lecturer–student interactions within the ELISTA learning management system influence students’ motivation to complete their final research project, focusing specifically on how feedback quality, clarity, and communication frequency contribute to strengthening their academic persistence. Methodology: This study employed an explanatory sequential mixed-methods design using an ex post facto survey with Google Forms (Google LLC) and a Likert-scale questionnaire. Quantitative analysis used SPSS v.26 (IBM Corp.), while qualitative thematic analysis used NVivo 12 Plus (QSR International). Instruments included online surveys, ELISTA activity logs, and semi-structured interviews recorded using Zoom Cloud Meetings. Main Findings: The study found that lecturer–student interaction via ELISTA was high (mean = 4.12), with clarity of instructions and feedback quality as dominant factors. Student motivation for thesis completion was also high (mean = 4.08), driven by intrinsic motivation and extrinsic factors such as degree achievement and career prospects. Regression analysis showed interactions significantly predicted motivation (R² = 0.236), with clarity of instructions (β = 0.341) and feedback quality (β = 0.268) contributing substantially. Novelty/Originality of this study: This study uniquely integrates ELISTA-based thesis supervision with a mixed-methods approach, combining quantitative analysis of interaction metrics and qualitative NVivo analysis of student motivation. Unlike previous LMS studies focused on course engagement, it specifically examines how clarity of instructions and feedback quality influence both intrinsic and extrinsic motivation, providing new empirical insights for designing effective, technology-mediated academic supervision.
Co-Authors . Zulfan Adi Rahmat Afrialdi, Raden Muhammad Agusta, Muhammad Adrian Al Husein, Hizri Amrizal Amrizal Asrial Astalini Astalini Atika Atika Ayu Anora Azhar Azhar Azhari Azhari Baskara, Agus Chairunnisa, Widya Zahra Chaw, Ei Phyu Daeng Ayub Damanhu, Damanhur Darmaji, Darmaji David, Guido Destrinelli Destrinelli, Destrinelli Dudi Yudhakusuma Epinur Epinur Fachriansyah, Hafiz Fadlil, Anang Fahmi Ichwansyah Fazillah, Aidil Febbry Romundza Firdiawan Ekaputra Fitri Hijri Khana Fitriya Sari Fuadah, Luk Luk Fuadah, ⁠Lukluk Fuldiaratman Hagos, Habtamu Halisah, Nur Harbiyah, Harbiyah Harizon Harizon Haryanto Haryanto Hasnah, Andi Hijrah, Nurul Hsb, Mhd. Suleman Husseini, Monir Mohamed El Iis Marsithah Ilahi, Nur Indrastuti, Sri Irmawati, Dian Isramiharti Isramiharti Jelita, Riva Juprizal, Juprizal Kartika, Eti Kertesz, David Csaba Khairuddin - Khan, Younas Kittiwutthisakdi, Kowit Koirala, Raj Kumar Kriswantoro Kriswantoro Kurniawan, Dwi Agus Laukanova, Roussanka Lestari, Desak Nyoman Lia M. Dwi Wiwik Ernawati Mardatillah, Annisa Mardhotillah, Bunga Marliya, Sinta Maryawi, Denna Mayanti, Andi Muammar Khadafi Muhammad Abrar Muhammad Iqbal Muhammad Sofwan Mukhlis Mukhlis Mukhtaruddin Mukhtaruddin Mukson Mukson Multahadah, Cut Murniati . Mursyida, Rika Naswir, M. Nova, Nuria Nugrahani, Cantika Iva Nugroho, Gilang Nurmala Sari Nurwijayanti Oktavia, Sri Wina Pramitha, Sarah Putri, Nadila Aulya Rahman, Adriyan Ardi Rahmawati, Rahmawati Rahmiatul Aula Ramli Ramli Rasulun Iman Rasyid, Suparta Raudhatinur Rista, Lia Riza, Normala Binti Rizqiyah, Nabila Nur Salsabilah, Wanada Siti Salsabilla Nurma Yahya, Gita Santoso, Rizki Agung Sarmada, Sarmada Sartika, Nurul Dwi Setiadi, Marwan Siregar, Amiruddin Siti Helmyati Srinita, Srinita Sujatmoiko, Rides Sumardi Efendi Sumarno . Suryati, Sri Suryatunnisak, Suryatunnisak Sutrisna, Eka Syafitri, Elen Syafriana, Nur TRIANI, ELZA Vitoekpon, Isaac Wahyudi, Tertiaro Wilda Syahri Yeyen, Yeyen Yuli, Annisa Rahma Yulita, Rahma Yusnaini Yusnaini Zubaidah, Evi Zulfitri Zulfitri, Zulfitri Zurweni Zurweni