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International Journal of Technology and Education Research
Published by CV. Cita Utilitas Utama
ISSN : -     EISSN : 29860733     DOI : https://doi.org/10.99075/ijeter.v1i01.1186
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other
International Journal of Technology and Education Research( IJETER) is  a peer-reviewed journal which welcomes submissions involving a critical discussion of policy and practice, as well as contributions to conceptual and theoretical developments in the field. It includes articles based on empirical research and analysis (quantitative, qualitative and mixed method) and welcomes papers from a wide range of disciplinary and inter-disciplinary perspectives. The journal embraces the broad range of settings and ways in which vocational and professional learning takes place and, hence, is not restricted by institutional boundaries or structures in relation to systems of education and training. This journal covers the topics of the educational profession, curriculum, educational philosophy, educational technology, learning strategies, educational management, educational psychology, student development, general issues in primary, secondary and higher education, educational foundations, teacher professional development, out-of-school education, and excellent education, the study of curriculum, pedagogy, and assessment, as well as economic, cultural and political aspects related to the role of vocational and professional education and training in society.
Arjuna Subject : Umum - Umum
Articles 367 Documents
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Development Of Problem-Based Learning Geography Teaching Modules To Improve Critical Thinking Skills In Biodiversity Materials Class XI Rohmila Mayang; Sunarty Suly Eraku; Yayu Indrianti Arifin
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2594

Abstract

This study developed a Problem-Based Learning (PBL)–based Geography teaching module on Biodiversity for Grade XI students at SMA Negeri 2 Wonosari. The module was created to provide learning materials that encourage active participation and strengthen students’ critical thinking and problem-solving skills in addressing environmental issues. The research employed a Research and Development (R&D) approach using the 4-D model, consisting of Define, Design, Develop, and Disseminate stages. Validation results from module and material experts indicate that the teaching module is highly feasible for use, with a validity score of 87% from the module expert and 90% from the material expert, both falling into the “very good” category with minor revisions. Limited trials conducted with students produced scores ranging from 70% to 87%, placing the module in the “good” to “very good” category. The results also show that the PBL-based Geography module is effective in improving students’ critical thinking skills, with an average N-gain of 0.47 categorized as moderate. Significant improvement was observed particularly in students’ ability to provide simple explanations and draw conclusions related to biodiversity and its connection to environmental sustainability. Thus, the PBL-based Geography teaching module can make a positive contribution and serve as an alternative learning resource that supports the implementation of the Kurikulum Merdeka, particularly in enhancing quality learning and strengthening the Pancasila Student Profile through contextual and participatory learning
Analysis of the Water Quality Status of the Belalo River in Lasolo District, North Konawe Regency Roy Saputra Ammai; Ridwan Adi Surya; Junartin Teke; Muhammad Saleh Qadri
International Journal of Technology and Education Research Vol. 3 No. 03 (2025): July - September, International Journal of Technology and Education Research (
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i03.2115

Abstract

The existence of land use around rivers can affect the quality of river water. Various land uses, such as agricultural land and residential areas, accompanied by diverse activities such as sago processing, washing, and bathing, can impact river quality and public health risks. This study aims to determine the water quality status of the Belalo River in Lasolo District, North Konawe Regency, using the pollution index method as regulated in the Decree of the Minister of Environment of the Republic of Indonesia Number 115 of 2003 concerning Guidelines for Determining Water Quality Status. This research method refers to the class II quality standards set out in the Government Regulation of the Republic of Indonesia Number 22 of 2021 concerning the Administration of Environmental Protection and Management. The research was conducted in June 2025. The results of this study indicate that Station I falls into the category of meeting quality standards with a Pollution Index value of 0.51. Station II falls into the category of meeting quality standards with a Pollution Index value of 0.48, and Station III falls into the category of meeting quality standards with a Pollution Index value of 0.85. The parameter that does not meet class II quality standards is a chemical parameter, namely Biochemical Oxygen Demand (BOD), which is present at Station III.
Artificial Intelligence Engines and Smart Systems in Developing an Integrated Model for Contemporary Leadership Theories Sakher Farea Ghaleb Algonaid; Ayoub Qaid Naji Almaidama
International Journal of Technology and Education Research Vol. 4 No. 01 (2026): International Journal of Technology and Education Research (IJETER)
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v4i01.2135

Abstract

The rapid evolution of Artificial Intelligence (AI) technologies and smart systems has fundamentally reshaped the organizational landscape, creating a knowledge and methodological gap between technological advancement and the current theoretical frameworks of contemporary leadership. This research addresses this gap by investigating how AI engines and smart systems can contribute to the development and crystallization of an integrated model for contemporary leadership theories, particularly within the emerging hybrid work environment. Adopting a Descriptive-Analytical Approach through an in-depth desk review and critical analysis of recent academic literature, the study analyzes the impact of AI on core leadership concepts and identifies the new competencies required for leaders. The analysis reveals that AI significantly enhances dimensions of Transformational Leadership, such as Individualized Consideration and Intellectual Stimulation, but simultaneously challenges the maintenance of Idealized Influence and Inspirational Motivation. The study highlights that the primary challenge in integrating smart systems is not technical, but ethical, necessitating robust governance frameworks. Consequently, the research proposes an Integrated Model: Leadership as a Strategic and Ethical Mediator. This model shifts the leader's role from an administrative supervisor to a mediator who focuses on Formulating the Hybrid Vision, ensuring Ethical Governance of AI decisions, and Enhancing Cognitive Adaptation among employees. The model emphasizes the necessity of new Hybrid Competencies, including Digital Emotional Intelligence and Algorithmic Ethical Thinking, to ensure effective and ethical leadership in the digital age. The findings underscore that Transformational Leadership remains the most effective style for managing digital change, provided it is augmented by these new competencies and the proposed mediator role.
Genetic Diversity of Agronomic Traits in Rice (Oryza sativa L.) Using Several Colchicine Concentrations Hasan, Erfina N; Husain, Indriati; Yamin, Mayasari; Rahim, Yunnita; Dama, Hasna
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2522

Abstract

This study aimed to evaluate the effects of various colchicine concentrations on the genetic diversity of agronomic traits in rice (Oryza sativa L.). The experiment was conducted at the Agricultural Modernization Application Center (BRMP) Gorontalo from January to April 2025, employing a two-factor factorial completely randomized design (CRD). The first factor was rice variety, comprising two levels: V1 (Inpago 13 Fortis) and V2 (Inpari Nutri Zinc), while the second factor was colchicine concentration with four levels: P0(control/0 ppm), P1 (750 ppm), P2(1000 ppm), and P3 (1250 ppm). Each treatment combination was replicated three times, resulting in 24 experimental units. Observed parameters included both vegetative and generative phases. Results indicated that colchicine did not exert a significant overall effect on either vegetative or generative traits; however, certain concentrations induced an increase in the number of spikelets in the Inpago 13 Fortis variety. In contrast, Inpari Nutri Zinc exhibited higher tolerance to colchicine, maintaining stable growth and morphology across all concentrations. These findings highlight that colchicine effectiveness is highly dependent on dosage and genotype response, emphasizing the need for optimal concentrations to induce mutations without causing toxic effects, thereby providing a foundation for rice mutation breeding.
Genetic Variation of Sorghum (Sorghum bicolor L.) at Several Colchicine Concentrations Based on Agronomic Characteristics Adam, Marta; Husain, Indriati; Yamin, Mayasari; Nurdin; Dude, Suyono
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2523

Abstract

Sorghum (Sorghum bicolor L.) serves as an alternative food source to rice due to its rich nutritional content. The development of sorghum through breeding can be facilitated using colchicine. This study aimed to: (1) identify sorghum varieties exhibiting the best performance based on agronomic traits; (2) determine the effective colchicine treatment for increasing genetic variation in sorghum varieties; (3) identify agronomic traits with high genetic variability influenced by multiple genes; and (4) evaluate the best interaction between colchicine and variety based on sorghum agronomic traits. The study was conducted from January to April 2025 in the Greenhouse of the Agricultural Assembly and Modernization Agency, Gorontalo. The experiment employed a factorial Completely Randomized Design (CRD), where the first factor consisted of two varieties, Numbu and Kawali, and the second factor comprised four colchicine concentrations: 0 ppm, 750 ppm, 1000 ppm, and 1250 ppm. Each treatment was replicated three times, resulting in a total of 24 experimental units. The results indicated that the Numbu variety exhibited the highest genetic variability based on leaf area; a colchicine concentration of 750 ppm effectively enhanced sorghum plant variability; plant height, panicle length, and leaf area displayed high genetic variation and were controlled by multiple genes; and the interaction of the Numbu variety with 750 ppm colchicine showed the most favorable performance based on the selection traits of panicle length, plant height, and leaf area. Therefore, this combination holds potential for the colchicine-based development of sorghum
Organoleptic Analysis of Processed Beef Meatball Products Using the Analytic Hierarchy Process: A Case Study of “Bakso Roso” Mooduto, Lisna; Dako, Safriyanto; Sahara, Laode
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2549

Abstract

Processed beef meatballs are widely consumed food products whose quality is largely determined by their sensory attributes. This study aims to analyze the organoleptic quality of beef meatball products at Bakso Roso Restaurant in Gorontalo Regency, focusing on appearance, aroma, taste, and texture. This research addresses a gap in previous studies, which typically rely on conventional sensory tests without applying a structured prioritization method. The study site was purposively selected based on branch availability, accessibility, modern facilities, and certified operations. Primary and secondary data were analyzed using the Analytic Hierarchy Process (AHP) to determine the relative weight of each criterion. The results show that taste is the most influential attribute (0.402), followed by aroma (0.294), texture (0.203), and appearance (0.100), with an inconsistency value of 0.02 indicating reliable judgments. Among product alternatives, Bakso Tenis ranks highest (40.2%), followed by Bakso Urat (29.4%). These findings highlight the dominant role of taste and aroma in shaping consumer preferences and provide a structured basis for product development through AHP-based organoleptic prioritization.
Study of Contour and Slope of Mohupomba Island Region Using QGIS Application for Sustainable Agricultural Development Ayu Rosandi Dg Mansyur; Nurdin, Nurdin; Nurmi, Nurmi
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2583

Abstract

Understanding the important characteristics of the topography of Mohupomba Island through contour and slope analysis using the QGIS application is the focus of this study. This study aims to identify variations in elevation and slope to support sustainable land use planning, particularly for agricultural development and disaster mitigation. The method used was qualitative descriptive with stages of collecting DEMNAS Geospatial Data from the Geospatial Information Agency (BIG) to obtain accurate elevation information, data processing using QGIS version 3.40, and visual analysis of contour and slope maps. The results showed that Mohupomba Island has an elevation range of 0–17 meters above sea level (masl), with a dense contour pattern in the eastern region indicating steep slopes, while the western part tends to be gentle. Most of the area is dominated by flat (0–8%) and gentle (8–15%) slopes, which are suitable for agricultural activities using soil conservation techniques. Meanwhile, areas with slopes >45% are classified as very steep and have a high potential for erosion and landslides, so they are not recommended for agricultural land development.
Induction Of In Plantain (Musa acuminata L.) Using The Growth Regulators 2,4-Dichlorophenoxyacetic & BAP (Benzyl Amino Purin) Nur Fitriani, Defy; Indriati Husain; Sutrisno Hadi Purnomo
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2608

Abstract

Plat propagation through is a method of prodycing new plants by growing unspecified clusters (callus) from small pieces of tissue (explants) such as Gapi banana flowers. This study seeks to determine the appropriate doses of 2,4-D and BAP for callus formation. The study was conducted from September to October 2025 at the Tissue Culture Laboratory of Gorontalo State University, using male Gapi banana flowers explants. The experiment used a randomized block design (RBD) involving two factors: 2,4-D (2ppm) and BAP (5, 10, 15 ppm). The percentage of live explants (%) was observed weekly for 30 days. Final observation included browning, The results showed that the addition of 2,4-D and BAP to the medium greatly affected the percentage of live explants. Without these substances, the explants turned brown. Fungal contamination was dominant at D0 (control) and D2 (2 ppm 2,4-D + 10 ppm BAP). The callus was white/cream to greenish in color, with a firm texture. The percentage of callus-forming explants (%) increased with the addition of BAP (5, 10 and 15ppm), significantly affecting callus formation.
Analysis of Production and Income from Mixed Cropping Systems between Cocoa and Durian in Matanggorai Village, Padangguni District, Konawe Regency Fadli, Afdal; Saediman; Zani, Munirwan
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2622

Abstract

This study aims to find out 1) Production of mixed agricultural system between cocoa and durian and 2) Income of mixed agricultural system between cocoa and durian in Matanggorai Village, TPadangguni District, Konawe Regency. The research was conducted in Matanggorai Village, Padangguni District, Konawe Regency, Southeast Sulawesi Province. This research starts from March to June 2024. The population in this study is all farmers who apply the Mixed Cocoa and Durian agricultural system in Matanggorai Village, Padangguni District, Konawe Regency as many as 20 people. The sample determination technique used in this study is using the census sampling method. The census sampling technique is a technique characterized by taking the entire population as a research sample, so that the sample used in this study is 20 people. The data analysis used is revenue analysis, production analysis and Joint Cost. The results of the study showed that the production of Mixed Farming Between Cocoa and Durian in Matanggorai Village, Padangguni District reached Rp 1,639,092.08/season. This productivity reflects the efforts of farmers in implementing efficient cultivation techniques and the use of appropriate inputs to support farming. The average income of farmers who apply the Mixed Agriculture system between cocoa and durian in Matanggorai Village is Rp 20,4299,696.9/season.This sizable net income shows the effectiveness and efficiency in farming, as well as the high profitability potential of the implementation of the cocoa and durian mixed agriculture system in this region
The Effect of Artificial Intelligence-Assisted Science Teaching Modules Based on the SSCS Model on Increasing Student Learning Motivation Bulilingo, Mohamad Rivaldi; Uloli, Ritin; Yusuf, Muhammad
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2639

Abstract

This study aims to examine the effect of an AI-assisted Science module based on the SSCS (Search, Solve, Create, Share) model on students’ learning motivation. A one-group pretest–posttest design was applied to a class of 30 seventh-grade students. Data were collected using a validated Likert-scale questionnaire on learning motivation. Normality tests (Shapiro–Wilk) confirmed that the pretest and posttest scores were normally distributed, allowing the use of a paired sample t-test. The pretest results showed an average learning motivation score of 64.17% (Fair), indicating moderate engagement. Indicators such as willingness and desire to succeed (55%), drive and need to learn (57%), and appreciation in learning (65%) were relatively low, suggesting that students were passive and lacked intrinsic motivation. After implementing the AI-assisted SSCS module, the posttest results demonstrated a significant improvement, with an average score of 79.5% (Good). All indicators increased, including willingness to succeed (80%), drive to learn (77%), and future aspirations (81%, Excellent). The paired t-test confirmed a statistically significant increase in learning motivation (t = 16.23, p < 0.05). The findings indicate that integrating AI with the SSCS learning model enhances students’ engagement, intrinsic motivation, and participation in learning activities. This study suggests that AI-assisted, structured, and interactive learning modules can be an effective strategy to improve both cognitive and affective outcomes in science education.

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