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Specific Open-Ended Assessment: Assessing Students' Critical Thinking Skill on Kinetic Theory of Gases Perdana, Riki; Riwayani, Riwayani; Jumadi, Jumadi; Rosana, Dadan; Soeharto, Soeharto
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 8 No 2 (2019): Jurnal Ilmiah pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v8i2.3952

Abstract

The test of critical thinking skills in specific topics in physics is still rarely. This study aimed to develop a specific test in critical thinking skills in the kinetic theory of gases (CTKTG) and also to assess the students' critical thinking skills. This study used the 4D method (Define, Design, Develop, and Disseminate). The CTKTG test was initially tested in four sample groups: interviews with an expert review (N = 3), professional physics teachers (N = 2), and graduate school students (N = 2), students from secondary schools (N = 29). The test was modified based on the revised results in the initial test. After that, the test was given to a group of students in class XI, who were science students (N = 55). The results showed that internal consistency from the CTKTG test was α = .89 (good). The implementation strategies and tactics are the most difficult aspect of critical thinking skill with a mean of 1.37 (very low) and basic classification is easiest with a mean of 2.84 (average). So, the findings showed that the CTKTG test can be used to measure students' critical thinking skills on the topic of the kinetic theory of gases.
Kahoot-Based Learning Game to Improve Mathematics Learning Motivation of Elementary School Students Setiawan, Adi; Soeharto, Soeharto
Al-Jabar: Jurnal Pendidikan Matematika Vol 11 No 1 (2020): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v11i1.5833

Abstract

Mathematics is an important lesson for elementary school students. However, mathematics is usually identified as difficult, unenjoyable and boring. Teachers need to motivate the students that mathematics can be fun. One media that could be used is Kahoot. This study aimed to apply Kahoot-based learning games. To improve mathematics learning motivation for the fourth-grade elementary school students. This study is classroom action research (CAR). It was carried out in two learning cycles using the Kemmis and Taggart model. The subjects of this study were the fourth-grade elementary school students in the second semester of the 2018/2019 academic year consisted of 28 students. The research data were obtained through interviews, mathematics learning achievement tests, learning observation sheets, and field notes. Data analysis was carried out qualitatively and supplemented by quantitative analysis. The results showed that students' mathematics learning motivation could be improved through Kahoot-based learning games. Students’ test results showed an increase in learning motivation by 19.85 or 44.55%. The results of this study provide information for teachers, schools, and researchers to improve students’ learning motivation through Kahoot-based learning game.  
A systematic literature review of computational thinking study in physics learning Riwayani, Riwayani; Istiyono, Edi; Supahar, Supahar; Perdana, Riki; Jumadi, Jumadi; Soeharto, Soeharto
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i4.29632

Abstract

This systematic review aims to summarize the technological resources for teaching and learning about computational thinking (CT) in physics and provide suggestions to conduct new studies in future research. A total of 22 academic articles on CT in physical learning were reviewed from 2012 to 2022. The number of research participants was 3,269, with details of 2,752 college students, 439 high school students, 32 junior high school students, 20 elementary students, 21 teachers, and five librarians. This study confirmed that research on CT in physical learning has been dominated by two countries, the United States and Indonesia. Over the past 10 years, there has been an increase in physics courses focusing on topics in kinematics, force and motion, and electricity. The common method practices are quantitative and qualitative, with some developing learning. The implications of this research can inform education experts, educators, and technologists interested in the CT environment and technological development in physics learning. Computational skills in physics have the potential to improve cognitive, affective, and psychomotor outcomes, including students’ thinking abilities. Students can benefit from their experience learning physics using the concept of CT because they can solve technology-based problems and develop various competencies needed in learning physics.
Students' English Competence, Transformative Thinking, Creativity, and Work Readiness in the Gig Economy Era Afifah, Wiwiek; Soeharto, Soeharto; Somae, Erik Tauvani; Kurniawan, Muhammad Hafiz; Maftukhin; Ahdiani, Ulaya
PANYONARA: Journal of English Education Vol. 7 No. 2 (2025): PANYONARA: Journal of English Education
Publisher : Institut Agama Islam Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/panyonara.v7i2.20941

Abstract

Abstract: As the gig economy era reshapes the global workforce, job readiness demands more than technical skills. Therefore, transformative thinking, creativity, and English competence become crucial. This study aims to explore how students from various backgrounds perceive the importance and the role of English competence, transformative thinking, and creative thinking in the gig economy era. Furthermore, this study also analyzes the relation between students’ socioeconomic background and their level of English competence toward their job readiness. Using a descriptive qualitative approach, data were collected through a reflective instrument based on open-ended questions designed to explore students’ views and strategies in facing the challenges of the gig economy era. Fifty-one students with different characteristics, including high and low achievers and socioeconomic backgrounds, volunteered for the study. Thematic analysis was used to identify mindsets and work readiness that emerged from their narratives. The findings revealed that English competence is strongly related to self-confidence, professional communication effectiveness, and the ability to build global connections. Meanwhile, transformative and creative thinking encourages students to think critically, adapt to change, design creative solutions, and think outside the box. Furthermore, developing work readiness requires motivation, engagement, and reflective thinking because these qualities enable students to adapt, learn, and perform well regardless of their financial situation.
Explaining Tax Digitalization Adoption: The Mediating Role of Digital Literacy in the Effects of AI-Driven Automation, Effort Expectancy, and Facilitating Conditions Fadhilatunisa, Della; Fakhri, M. Miftach; Nirmalasari, Aprilianti; Awalia, Andi Dio Nurul; Soeharto, Soeharto
Journal of Economic Education and Entrepreneurship Studies Vol. 6 No. 3 (2025): VOL. 6, NO. 3 (2025): JE3S, SEPTEMBER 2025
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62794/je3s.v6i3.9399

Abstract

The acceleration of tax digitalization through artificial intelligence (AI) has redefined modern taxation systems; however, its success largely depends on users’ digital literacy and readiness to embrace automation. This study investigates the mediating role of digital literacy in the relationship between AI-driven automation, facilitating conditions, and effort expectancy on tax digitalization adoption in Indonesia. Employing a quantitative approach with a cross-sectional survey design, data were collected from 161 individual and professional taxpayers using purposive sampling methods. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results demonstrate that digital literacy exerts the strongest direct and significant influence on the adoption of tax digitalization. It also mediates the effects of AI-driven automation and facilitating conditions, whereas effort expectancy shows a positive but statistically insignificant relationship. These findings underscore that digital literacy is not merely a supporting factor but a fundamental determinant of successful digital tax transformations. This study implies that policies aimed at promoting tax digitalization should prioritize digital literacy enhancement through systematic education, technical training, and user-friendly system design. By strengthening digital competence, tax authorities can increase user engagement, improve compliance, and facilitate an equitable digital transformation within tax administration.
Risk Factors of Children Behavior in Schistosomythical Transfer in Two Villages of Lindu Regency, Sigi District, Central Sulawesi in 2017 Sulistiyawati, Tri; Utomo, Budi; Soeharto, Soeharto
Folia Medica Indonesiana Vol. 54, No. 2
Publisher : Folia Medica Indonesiana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Children of primary school are particularly vulnerable to schistosomiasis because 60-70% of them with age of 5-14 years do a lot of activity outside home. The impact of schistosomiasis in children are the lack of concentration in learning, anemia, and impaired growth. This study aimed to describe the behavior of children aged 7-12 years in Puro'o and Tomado Villages in preventing the transmission of schistosomiasis and to determine the correlation between age, sex behavior community in the prevention of schistosomiasis. The study was conducted in Tomado and Puro'o villages for 3 months from March to June 2016. This was a cross sectional study. The samples in this study were children aged 7-12 years, selected by stratified multistage random cluster sampling which was done in three phases: the first phase was the villages, the second phase was the primary school in the village, and the third stage was household selected by proportional random sampling. Data were collected through interview using a structured questionnaire and the observation was analyzed using chi-square test. Respondents who had less knowledge, mostly behave defecate/urinate (80%) in latrine/WC, handwashing behavior with soap after defecating/urinating (50%), wearing footwear outside the home (86.5%), and playing in the rice fields, marshes and lakes (67.3%). Analysis of the relationship between knowledge and child's behavior showed no significant relationship (p=0.114). As a conclusion, children aged 7-12 years in Tomado and Puro'o villages mostly had less supportive behavior in preventing the transmission of schistosomiasis and had moderate or less reliable knowledge.
How ChatGPT Usage and AI Over-Reliance Influence Student Integrity: The Moderating Role of Academic Misconduct Salam, Fitria Nur Dina; Rahman, Edi Suhardi; Fakhri, M. Miftach; Soeharto, Soeharto
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 11 No 2 (2026): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v11i2.29449

Abstract

The rapid adoption of generative artificial intelligence in higher education has intensified debates about whether ChatGPT supports responsible learning or weakens academic integrity through over-reliance and misconduct. This study examined the direct effects of ChatGPT usage and AI over-reliance on student integrity and tested academic misconduct as a moderating variable. A quantitative cross-sectional survey was conducted with 571 Indonesian undergraduate students who had experience using ChatGPT or comparable AI tools for academic purposes. Data were collected using a validated 20-item questionnaire measured on a five-point Likert scale and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM) with 5,000 bootstrap resamples. The results show that purposive ChatGPT usage positively predicts student integrity (β = 0.482, t = 10.419, p < .001), whereas AI over-reliance has a significant negative effect (β = -0.215, t = 3.853, p < .001). Academic misconduct also shows a significant direct path to integrity (β = 0.159, p = .005) and moderates the relationship between AI over-reliance and student integrity (β = 0.247, t = 5.143, p < .001), but it does not significantly moderate the ChatGPT usage-integrity relationship. These findings demonstrate that the ethical consequences of generative AI depend on how students engage with the technology. The study implies that universities should not merely prohibit AI use, but should develop clear AI governance, digital ethics instruction, and assessment designs that encourage critical, transparent, and accountable use of ChatGPT.
Co-Authors Abdul Haris Odja Adiba, Fhatiah Afandi Afandi Afrizan, Afrizan Amukune, Stephen Angraini, Mila Rosa Ariati Dina Puspitasari, Ariati Dina Arifiyanti, Fitria Asri Arbie Astriani, Devi Awalia, Andi Dio Nurul Baehaqi Budi Utomo Buhungo, Trisnawaty Junus Chairatul Umamah Chatarina Umbul Wahyuni Dadan Rosana Daryono, Rihab Wit Della Fadhilatunisa Dewantara, Jagad Aditya Didi Sundiman Edi Istiyono Edi Suhardi Rahman Efriani Efriani Eka Murdani, Eka el indahnia kamariyah, el indahnia Eri Sarimanah FARADILLA, FARADILLA Fardan, Muhammad Farida Anastika Fathahillah Fathahillah Figiati Indra Dewi HANDITYA, BINOV Hidayat, Sri Wiyanti Indah Widowati Irwandani Jahja, Mohamad Jumadi Jumadi Kurniasti, Rosi Arde Kurniawan, Muhammad Hafiz M. Miftach Fakhri Maftukhin Maimon Sumo Moh. Irma Sukarelawan Muhammad Aridan Muhammad Ibrahim Muhammad Nurtanto Mursidi, Andi Nanda Khoirunisa Nirmalasari, Aprilianti Novitasari, Dyah Ayu Nugraheni, Tyas Ayu Nur Endah Susilowati Nurhidayah, Rizka Nurul, Muhamad Purwoko, Agus Putu Sudira Ramadhanti, Anissa Riki Perdana Rini Setyowati, Rini Riwayani, Riwayani Rosidah Rosidah Roy Efendi, Roy Ruhban Masykur Salam, Fitria Nur Dina Sanatang Saputri, Niken Dwi Sihaloho, Nahot Tua Parlindungan Sitti Radhiah Somae, Erik Tauvani Suhendra Suhendra Sulistiyawati, Tri Sulistyarini, Sulistyarini Sumarwoto, S.H.I., M.H. Sumarwoto, S.H.I., M.H. Supahar, Supahar Syafutri, Ridha Tahmid Sabri ting, i-hsien Toni Kus Indratno Ulaya Ahdiani Vidiyanto, Vidiyanto Wardatul Djannah Widayanto, Luthfi Dhimas Wiwiek Afifah Wulandari, Fajar