Perhitungan Populasi Ternak Kerbau Dengan Pola Tenun Di Pulau Moa, Kabupaten Maluku Barat Daya
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Inggrid Welerubun, Albertus Sairudy, Jecklin Lainsamputty

Perhitungan Populasi Ternak Kerbau Dengan Pola Tenun Di Pulau Moa, Kabupaten Maluku Barat Daya

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Introduction

Perhitungan populasi ternak kerbau dengan pola tenun di pulau moa, kabupaten maluku barat daya. Estimasi populasi kerbau di Pulau Moa dengan pola tenun lokal. Diproyeksikan 4.323 kerbau di 2025 (tumbuh 3.5%), pola tenun "Niti Moa" & "Lolat Kerbau" cerminkan dinamika ternak.

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Abstract

This study aims to estimate the buffalo population on Moa Island using a local cultural approach through the weaving patterns of the local community. This approach combines aspects of animal husbandry science with local cultural wisdom, where weaving patterns serve as social indicators in understanding livestock population dynamics. The research method used a combination of field surveys, in-depth interviews, observations of husbandry patterns, and symbolic interpretation of weaving motifs depicting the livestock life cycle. The results indicate that the buffalo population on Moa Island is estimated to reach 4,323 in 2025 with a growth rate of 3.5% per year. Qualitative analysis shows that weaving patterns such as "Niti Moa" and "Lolat Kerbau" reflect the livestock's grazing system and reproductive cycle. These results indicate that a culture-based approach can be used as a complementary method in estimating livestock populations in the archipelago


Review

This paper presents a fascinating and highly interdisciplinary approach to estimating buffalo populations on Moa Island, merging conventional animal husbandry science with local cultural wisdom. The core novelty lies in its utilization of traditional weaving patterns as "social indicators" to understand livestock population dynamics. This unique synthesis promises a deeper, culturally nuanced understanding of livestock management that moves beyond purely quantitative methods, offering particular relevance for regions where cultural practices and livelihoods are deeply intertwined. The study's premise of gleaning scientific insight from traditional art forms is both innovative and commendable. The methodology employed appears robust and comprehensive, combining traditional field surveys, in-depth interviews, observations of husbandry patterns, and the symbolic interpretation of local weaving motifs. Quantitatively, the study forecasts a buffalo population of 4,323 by 2025 with an annual growth rate of 3.5% for Moa Island. Qualitatively, the research highlights how specific weaving patterns, such as "Niti Moa" and "Lolat Kerbau," symbolically reflect critical aspects of livestock management, including grazing systems and reproductive cycles. This demonstrates a unique and thoughtful way of extracting insights into community practices directly from cultural artifacts. Overall, this research successfully demonstrates the potential of a culture-based approach as a complementary tool for livestock population estimation, especially in culturally rich and geographically diverse archipelago settings. The strength of this work lies in its innovative bridging of ethnography and ecological assessment, offering a rich context often missing in purely scientific models. While the abstract clearly establishes the cultural approach as a complementary method, further research could perhaps elaborate on the precise mechanism by which these weaving patterns quantitatively inform or validate the numerical population estimates, or how these "social indicators" are directly integrated into the growth models. Nevertheless, this study paves the way for a more holistic and culturally sensitive understanding of human-animal interactions in traditional societies.


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