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All Journal Al-Hijr: Journal of Adulearn World Journal International of Lingua and Technology World Psychology
Nizam, Zain
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Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

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Building Police Mental Resilience in 2025: The Role of Self-Efficacy and Perceived Organizational Support in Strengthening the Resilience of Samapta Directorate Members Fitri, Aroviani Amsa; Kusmaryani, Rosita Endang; Rosul, Ahmad; Nizam, Zain
World Psychology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v4i1.877

Abstract

Working as a police officer requires readiness to face the risk of danger and heavy workload, high pressure when facing threats and uncertain situations. This study was motivated by the phenomenon of the discovery of a low level of resilience of police members. Self-efficacy and perceived organizational support are assumed to be supporting factors in the formation of resilience of police members of the Samapta Directorate. This study aims to examine the role of self-efficacy and perceived organizational support in increasing the resilience of police members of the Samapta Directorate of the DIY Regional Police. This study uses a quantitative method with an explanatory survey research type. The sample of this study used 122 members of the Samapta Directorate of the DIY Regional Police who were selected using the proportionate stratified random sampling technique. Resilience was measured using the CD-RISC 10 scale, self-efficacy is measured by the GSE scale and POS is measured by the SPOS scale. Hypothesis testing using multiple regression analysis with the help of JASP 19.3 program. The results of the study indicate that self-efficacy and perceived organizational support have a significant effect on resilience and are proven to be factors in forming the resilience of members of the Samapta Directorate. 
Personalized Learning through ChatGPT: A Quasi-Experimental Study on Adaptive Curriculum in High School Settings Muhammad, Muhammad; Nizam, Zain; Razak, Faisal
Al-Hijr: Journal of Adulearn World Vol. 4 No. 2 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v4i2.982

Abstract

The challenge of catering to diverse learning paces and styles in traditional high school classrooms often limits student potential. The emergence of advanced AI, such as ChatGPT, presents a novel opportunity to create adaptive learning environments that personalize educational content in real-time. This study aimed to investigate the effectiveness of a ChatGPT-driven adaptive curriculum on student academic performance and engagement compared to conventional, non-adaptive teaching methods. A quasi-experimental, pre-test/post-test design was conducted with 110 high school students. The intervention group (n=55) utilized an adaptive curriculum where content was dynamically adjusted by ChatGPT based on performance, while the control group (n=55) received standard instruction. Academic performance was measured via subject-specific tests, and engagement was assessed using the Student Engagement Instrument (SEI). The intervention group demonstrated a statistically significant improvement in academic performance (p < .01) and higher engagement scores (p < .05) compared to the control group. The adaptive curriculum effectively addressed individual learning gaps and maintained student interest. Integrating ChatGPT to facilitate personalized, adaptive curricula is a highly effective strategy for enhancing both academic achievement and student engagement in high school settings. This approach offers a scalable solution to individualized instruction.
The Influence of Natural Language-Based Chatbot Usage on User Experience in Online Customer Service Jumriyah, Jumriyah; Nizam, Zain; Idris, Haziq
Journal International of Lingua and Technology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i1.821

Abstract

The rapid development of artificial intelligence has led to an increased use of natural language-based chatbots in various industries, particularly in online customer service. These chatbots have become essential tools for improving customer engagement, providing timely support, and enhancing the overall user experience. However, despite their growing popularity, the impact of chatbot usage on user experience in online customer service remains underexplored. This study investigates the influence of natural language-based chatbot usage on user experience in online customer service settings. The research aims to evaluate how chatbot interactions affect customer satisfaction, ease of use, and perceived efficiency in addressing customer queries. A mixed-methods approach was employed, utilizing quantitative surveys and qualitative interviews with users who interacted with a natural language-based chatbot on an e-commerce platform. The data collected were analyzed to assess the correlation between chatbot usage and user experience. The results revealed that users who interacted with the chatbot reported higher levels of satisfaction and perceived efficiency compared to those who used traditional customer service methods. The ease of use and quick response times contributed to positive user experiences, although some users expressed concerns about the chatbot’s ability to handle complex queries. The study concludes that natural language-based chatbots can significantly improve user experience in online customer service, but further improvements are needed to enhance their capabilities in addressing more complex issues.
Co-Authors Costa, Bruna Farah, Rina Fitri, Aroviani Amsa Idris, Haziq Jumriyah, Jumriyah Muhammad Muhammad Razak, Faisal Rosita Endang Kusmaryani Rosul, Ahmad Silitubun, Evaristus