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The Emotional Impact of Influencer Fatigue on Online Shopping Decisions Fitriani, Salma
Journal of Sustainability Industrial Engineering and Management System Vol. 4 No. 1 (2025): July - December
Publisher : Omnia Tempus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56953/jsiems.v4i1.53

Abstract

This study investigates the emotional impact of influencer fatigue on online shopping decisions by employing a qualitative research approach based on systematic literature analysis. The objective is to understand how the saturation of influencer content affects consumer trust, emotional engagement, and purchasing behavior in digital platforms. The research draws on an extensive review of 50 peer-reviewed articles published between 2018 and 2025, selected through major academic databases such as Scopus, Web of Science, and Google Scholar. Thematic synthesis was used to analyze the literature, enabling the identification of key emotional constructs such as affective exhaustion, parasocial disappointment, trust erosion, and consumer resistance. The findings reveal that influencer fatigue is not merely the result of excessive exposure but a nuanced emotional phenomenon that weakens the persuasive power of social media influencers by triggering psychological disengagement and moral skepticism. Furthermore, this emotional dissonance reduces consumer receptivity to promotional messages and shifts their shopping behavior toward more autonomous and skeptical decision-making patterns. The study also identifies emerging behavioral trends such as de-influencing and digital minimalism as coping strategies adopted by consumers in response to fatigue. From a theoretical perspective, the research advances the conceptualization of influencer fatigue by integrating emotional regulation theory with parasocial interaction and advertising skepticism. From a managerial standpoint, the study suggests that brands and digital marketers must recalibrate their influencer strategies to prioritize emotional sustainability and content authenticity. These findings offer a foundation for further empirical inquiry and guide ethical practices in digital consumer engagement.
Student engagement and conceptual change through gamified flipped classrooms in biology education Safarini, Melly; Fitriani, Salma; Suwandi, Tri; Rahmat, Adi
Biosfer: Jurnal Pendidikan Biologi Vol. 19 No. 1 (2026): Biosfer: Jurnal Pendidikan Biologi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/biosferjpb.62844

Abstract

The gamified flipped classroom (GFC) is an extension of the traditional flipped classroom (FC) that embeds gamification elements into digital independent learning prior to face-to-face sessions. This study addresses the limited student engagement and persistent misconceptions commonly found in ecosystem learning by comparing students’ cognitive engagement, conceptions, and conceptual change patterns when learning through FC and GFC. A quasi-experimental design was employed involving 70 tenth-grade students assigned to FC and GFC groups, with learning conducted over four meetings. Cognitive engagement was measured using the four-scale Student Course Cognitive Engagement Instrument (SCCEI) after the intervention, supported by semi-structured interviews and documentation of student learning notes. Students’ conceptions were assessed using a four-tier multiple-choice test administered before and after learning, and conceptual change patterns were examined based on shifts in conception categories from pretest to posttest. The data were analyzed descriptively. The results indicate that students who learned through GFC demonstrated higher cognitive engagement across all indicators, developed more scientifically accurate conceptions, and exhibited more positive conceptual change patterns than those who learned through FC. GFC was particularly effective in reducing misconceptions, increasing sound understanding, and promoting construction-type conceptual changes. These findings suggest that integrating gamification into flipped classroom learning can enhance cognitive engagement and support deeper reconstruction of students’ conception in biology education. It is recommended that GFC be considered as an alternative instructional strategy to improve concept mastery in ecosystem learning and to support more meaningful student engagement.
The Effect of Differences in Light Color Filters on Potato (Solanum tuberosum) Shoot Growth Fitriani, Salma; Khairunnisa, Nabila; Lafairuz, Nisrina Najla; Putri, Savitri Novantira; Syahrani, Najwa; Setiawan, Gilang; Fitriana, Devita; Rahman, Taufik; Suwandi, Tri
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Publisher : Universitas Pendidikan Indonesia and Konsorsium Biologi Indonesia

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

Abstract

Potato (Solanum tuberosum) is a plant that plays an important role as a source of food and carbohydrates for the world community after maize, wheat, and rice. The lack of sufficient demand for low yields in Indonesia can be caused by many factors, one of which is environmental factors, which greatly affect the process of growing potatoes. They are temperature, duration of irradiation, light intensity, growing media, and humidity. Because the growth and process of photosynthesis in plants can be affected by the light factor, therefore our aim in conducting this research was to determine the effect of different light color filters on potato mass, number of shoots, shoot length, number of roots, and root length. The research method used was a completely randomized design (CRD) using 4 (four) treatments. The treatment that was given was P1 on potato shoots which were given a clear plastic filter cover (control), P2 with a blue plastic filter cover, P3 with a plastic filter cover, and P4 which was green. Each treatment was repeated three times for 2 weeks with observations every 2 days. The parameters observed were potato mass, number of shoots, shoot length, number of roots, and root length. The data is then analyzed descriptively using the average and standard deviation. There are differences in the average mass of potatoes, number of shoots, shoot length, number of roots, and root length given different light color filter treatments. The color filter treatment that gives the best results for all parameters is the blue filter.