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All Journal Journal of Social Research PRESUNIVE CIVIL ENGINEERING JOURNAL
B.M.A.S. Anaconda Bangkara
Universitas Presiden
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Social Sciences

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Determinants of Students’ Academic Honesty in the Context of AI-Based Learning Tools B.M.A.S. Anaconda Bangkara
Journal of Social Research Vol. 5 No. 1 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i1.2945

Abstract

The current technological advances are indeed something to be grateful for, even though they can also cause various problems. One area facing such challenges is the rapid development of educational tools that use artificial intelligence, such as ChatGPT, Gemini, and similar platforms. Although these tools can help improve the learning process, there are also risks if they are used improperly. Additionally, we should be grateful that many students in Indonesia still uphold academic integrity. This is evident from the ease of finding participants for this study, which aims to uncover the psychological and social factors that encourage ethical behavior. This study uses the Theory of Planned Behavior to investigate the extent to which Attitudes Toward Behavior (ATB), Subjective Norms (SN), and Perceived Behavioral Control (PBC) influence a student's Behavioral Intentions (BI), as well as how those intentions translate into Actual Behavior (AB). Using a purposive sampling method involving 300 students from various regions in Indonesia, the data were analyzed through Structural Equation Modeling (SEM) using AMOS software. The results of the study show that ATB, SN, and PBC each have a positive and significant influence on BI, which then strongly predicts AB. These findings can help to better understand the mechanisms behind academic honesty and provide practical suggestions for designing programs that strengthen ethical behavior in an increasingly digital learning environment.
Academic Honesty in the Era of Artificial Intelligence: Global Perspectives and Evidence from Indonesian Higher Education (Study case: Female Students) B.M.A.S. Anaconda Bangkara
Journal of Social Research Vol. 5 No. 2 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i2.2997

Abstract

This study aims to examine academic honesty among undergraduate female students in Indonesia, amidst the widespread access to AI-based tools (e.g., ChatGPT, Gemini). Based on the Theory of Planned Behavior (TPB), this study examines the influence of Attitude Toward Behavior (ATB), Subjective Norm (SN), and Perceived Behavioral Control (PBC) on Behavioral Intention (BI) and subsequently impacting Actual Behavior (AB). This study employed a quantitative explanatory cross-sectional design. Data were collected through online questionnaires from 350 female students at various universities in Indonesia. The analysis phase was conducted using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) in AMOS to assess measurement validity and the strength of causal pathways. The results showed that the three TPB constructs, namely ATB (? = 0.31, p < 0.001), SN (? = 0.27, p < 0.01), and especially PBC (? = 0.39, p < 0.001), significantly predicted BI, and BI, in turn, significantly predicted AB (? = 0.48, p < 0.001). Furthermore, PBC had a direct effect on AB (? = 0.22, p < 0.05). Both the measurement and structural models met the recommended fit criteria (CFI ? 0.95; RMSEA ? 0.05). The findings of this study confirm the application of the TPB to understand female students' academic honesty in the AI era and emphasize the central role of PBC and the influence of Indonesian collectivist cultural norms. Practical implications include the need to strengthen academic skills and AI ethics literacy, integrate local wisdom into integrity-enhancing programs, and implement institutional policies that encourage the responsible use of AI. Future research should consider comparative gender studies and longitudinal designs to explore behavioral dynamics as technology evolves.
Consolidation Analysis Using Preloading Combined with Prefabricated Vertical Drain At The Jakarta Cikampek II Selatan Phase II A Raihan Fauzan Siregar; B.M.A.S. Anaconda Bangkara; Lydia Darmiyanti
PRESUNIVE CIVIL ENGINEERING JOURNAL Vol. 4 No. 1 (2026)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/pcej.v4i1.6684

Abstract

The Jakarta–Cikampek II Selatan Phase II A toll road construction project on the STA 16+100–16+300 segment is faced with soft subgrade soil conditions identified through Dutch Cone Penetration Test results. These conditions can cause excessive settlement in the long term if not addressed, thus requiring effective soil improvement methods to accelerate the consolidation process. The commonly used repair method is preloading combined with Prefabricated Vertical Drain (PVD), because PVD functions to shorten the flow path of soil pore water, thereby accelerating the consolidation process. The analysis results show that the settlement that occurred is 0.31 m at STA 16+125 and 0.22 m at STA 16+250. The results of the preloading analysis without using Prefabricated Vertical Drain show that the time required to achieve 90% consolidation at STA 16+125 is 6.39 years with a settlement of0.28 m, and at STA 16+250, the time required is 5.60 years with a settlement of 0.20 m. Then, using the Prefabricated Vertical Drain combination preloading method, the time required to achieve 90% consolidation at STA 16+125 with a triangular pattern and a distance variation of 0.6-1.5 m is 2-13 days with settlement of 0.28-0.30 m, while with a square pattern with the same distance, the time required is 2-15 days with a settlement of 0.28-0.29 m. At STA 16+250, the time required to achieve 90% consolidation with a triangular pattern and a distance variation of 0.6-1.5 m is 7-53 days with settlement of 0.20 m, while with a square pattern with the same distance, the time required is 8- 61 days with settlement of 0.20 m.
Co-Authors Lydia Darmiyanti Raihan Fauzan Siregar