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All Journal Journal of Applied Business and Technology Reflection: Education and Pedagogical Insights
Tito Suprayoga
Universitas Riau, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Disrupting the Veterinary Value Chain through AI-Based Goat Health Management Achmad Tavip Junaedi; Nicholas Renaldo; Nyoto Nyoto; Erlin Erlin; Gustientiedina Gustientiedina; Yulvia Nora Marlim; Tito Suprayoga; Jahrizal Jahrizal; Umar Faruq; Kristy Veronica
Journal of Applied Business and Technology Vol. 7 No. 2 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/9x4hae67

Abstract

The digital transformation of livestock production is creating new opportunities to redesign conventional veterinary service delivery. However, veterinary services in goat farming remain constrained by limited personnel, geographic accessibility, delayed disease detection, and relatively high service costs. This study examines how artificial intelligence can disrupt the veterinary value chain through Kambing Light Vision, an AI-based goat health management platform that integrates Computer Vision, disease detection, prediction confidence, and AI-assisted veterinary care recommendations. An exploratory qualitative case study approach was employed by analyzing the technology development process, veterinary service workflow, stakeholder roles, commercialization pathways, and potential business value. The results indicate that AI can shift preliminary health assessment from a predominantly veterinarian-dependent process toward a digitally assisted and farmer-accessible service. This transformation can shorten information flows, reduce service and transaction bottlenecks, improve veterinary triage, and create new value propositions for farmers, veterinary clinics, cooperatives, and agribusiness organizations. The analysis further identifies subscription-based Software as a Service, technology licensing, and managed veterinary services as potential mechanisms for converting AI capabilities into scalable business value. The study argues that the disruptive potential of AI does not lie solely in disease-classification accuracy but in its ability to reconfigure the veterinary value chain and transform how veterinary services are accessed, delivered, and commercialized. Kambing Light Vision therefore represents a transition from AI as a diagnostic technology toward AI-enabled veterinary service infrastructure with potential implications for digital agriculture and sustainable livestock business.
How the Moon Rewrites Goat Behavior Nicholas Renaldo; Achmad Tavip Junaedi; Nyoto Nyoto; Suhardjo Suhardjo; Wilda Susanti; Jahrizal Jahrizal; Umar Faruq; Tito Suprayoga; Nindy Daviny; Dania Ayu Lestari
Reflection: Education and Pedagogical Insights Vol. 4 No. 2 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v4i2.167

Abstract

Goat behavior is commonly interpreted through circadian rhythms, feeding patterns, environmental conditions, and reproductive cycles, while nighttime is rarely treated as a dynamically changing environmental context. This study challenges the conventional daylight-centered interpretation of goat behavior by exploring how lunar phases are associated with nocturnal activity and reproductive patterns. A qualitative descriptive approach was employed through naturalistic observation of goat behavior across different lunar phases, supported by reproductive observations and an exploratory examination of offspring sex distribution. The findings indicate a gradual transition from relatively low nighttime activity during the new moon toward greater movement, feeding, rumination, vocalization, and social interaction during brighter gibbous and full-moon phases. Reported reproductive patterns also indicate differences in parturition distribution across lunar phases, with lower occurrence during the new moon and higher occurrence around the gibbous phase. However, these patterns are interpreted as associations rather than evidence of direct lunar causation. Existing evidence on goat offspring sex ratio shows variation among populations, including male-biased, female-biased, and approximately balanced distributions, while available lunar-phase-specific evidence remains insufficient to establish that lunar phase determines offspring sex. The study's disruptive contribution lies in conceptualizing lunar illumination as an environmental context that may modify the expression of nighttime goat behavior rather than assuming that the moon directly controls animal biology. Beyond animal science, the goat–moon phenomenon provides an authentic interdisciplinary context for science education by integrating astronomy, biology, animal behavior, reproductive physiology, ecology, statistics, and scientific inquiry. The study concludes that the moon may not rewrite the goat's biological clock, but it may rewrite how the goat's night is understood and how natural phenomena can be transformed into meaningful science-learning contexts.
Co-Authors Achmad Tavip Junaedi Dania Ayu Lestari Erlin Erlin Gustientiedina Jahrizal Kristy Veronica Marlim, Yulvia Nora Nicholas Renaldo Nindy Daviny Nyoto Suhardjo Umar Faruq Wilda Susanti