Climate Sensitive Business Model Canvas dalam Pemanfaatan Ekosistem Mangrove

Abstract

Ekosistem mangrove di pesisir utara Jakarta, khususnya kawasan Angke Kapuk–Pantai Indah Kapuk (PIK), menghadapi tekanan serius akibat reklamasi, pencemaran, dan dinamika iklim. Mangrove di kawasan ini berfungsi sebagai benteng alami pesisir sekaligus penyedia bahan baku bernilai ekonomi. Salah satu jenis yang dominan adalah Rhizophora mucronata, yang tumbuh optimal pada substrat berlumpur kaya bahan organik dan berperan sebagai pemasok utama bahan baku pewarna alami ramah lingkungan untuk industri tekstil. Ketergantungan pasokan ini menuntut rancangan model bisnis yang berbasis adaptasi iklim dan kesehatan ekosistem. Penelitian ini bertujuan merumuskan Climate Triple Layered Business Model Canvas (CTL-BMC) dengan mengintegrasikan indikator iklim dan Mangrove Health Index (MHI) sebagai dasar pengambilan keputusan. Data yang digunakan meliputi anomali suhu permukaan laut (SST) ERA5, tren kenaikan muka air laut (SLR), serta komponen MHI (kanopi, semai, dan tutupan sampah). Analisis dilakukan secara deskriptif-analitik dan diperkuat dengan regresi linear sederhana. Hasil menunjukkan variasi SST dan SLR menjelaskan 51,61% perubahan MHI; anomali SST =0,3–0,5°C dan rob ekstrem berdampak pada penurunan kanopi dan semai, sedangkan rendahnya tutupan sampah berasosiasi dengan perbaikan ekosistem. Berdasarkan temuan ini, CTL-BMC dirancang dalam tiga lapisan: ekonomi yang menjamin pasokan bahan baku, lingkungan yang menekankan praktik panen adaptif dan konservasi, serta sosial yang memperkuat partisipasi komunitas dan ketahanan pesisir.

The mangrove ecosystem along the northern coast of Jakarta, particularly in the Angke Kapuk–Pantai Indah Kapuk (PIK) area, faces severe pressures from reclamation, pollution, and climate dynamics. Mangroves in this region function not only as natural coastal defenses but also as providers of high-value raw materials. One dominant species is Rhizophora mucronata, which thrives on muddy, organic-rich substrates and serves as the main supplier of natural dyes for the textile industry. The dependence on this resource demands a business model designed upon ecosystem health and climate adaptation. This study aims to develop a Climate Triple Layered Business Model Canvas (CTL-BMC) by integrating climate parameters and the Mangrove Health Index (MHI) as decision-making foundations. The data include ERA5 sea surface temperature (SST) anomalies, sea level rise (SLR) trends, and MHI components (canopy cover, seedling regeneration, and waste cover). Analyses were carried out using descriptive-analytical methods complemented by simple linear regression. The results indicate that SST and SLR variations explain 51.61% of MHI changes; SST anomalies of =0.3–0.5°C and extreme tidal flooding reduced canopy and seedling growth, while lower waste cover was associated with ecosystem recovery. Based on these findings, the CTL-BMC is structured into three layers: economic, ensuring sustainable raw material supply; environmental, emphasizing adaptive harvesting and conservation; and social, reinforcing community participation and coastal resilience.