Penguatan Paket Wisata Berbasis Rantai Pasok Hijau di Desa Wisata Alamendah Melalui Pengemb

Yelita Anggiane Iskandar; Mirna Lusiani; Iwan Sukarno; Ahmad Faisal Dahlan; Ade Irawan; Hasna Az-Zahra Khoirunnisa; Syifaira Mofina

Yelita Anggiane Iskandar Program Studi Teknik Logistik, Universitas Pertamina, Jakarta
Mirna Lusiani Program Studi Teknik Logistik, Universitas Pertamina, Jakarta
Iwan Sukarno Program Studi Teknik Logistik, Universitas Pertamina, Jakarta
Ahmad Faisal Dahlan Program Studi Teknik Logistik, Universitas Pertamina, Jakarta
Ade Irawan Program Studi Teknik Logistik, Universitas Pertamina, Jakarta
Hasna Az-Zahra Khoirunnisa Program Studi Ilmu Komputer, Universitas Pertamina, Jakarta
Syifaira Mofina Program Studi Ilmu Komputer, Universitas Pertamina, Jakarta

Keywords: Green Supply Chain, Tourism Village, Tour Package, Website, AI Assistant, MSMEs

Abstract

Alamendah Tourism Village (Dawala) has agritourism potential in coffee, strawberries, and dairy,
yet the supply chain of its tour packages is not systematically organized, business actors'
understanding of green supply chains is limited, and the village website does not support supply
chain transparency. This community service program aimed to organize Dawala's tour package
supply chain and to develop a website with an AI Assistant for transparency and coordination of
the green supply chain. The program used a participatory approach adapted from benchmarking,
covering needs identification, mapping of actors and logistics flows, website development, partner
mentoring, and survey-based evaluation. The mapping identified five groups of actors and four
inefficiency hotspots: delayed fresh-ingredient supplies in peak season, weak coordination among
MSMEs, unsorted waste, and no real-time stock monitoring. The website was developed with integrated reservations, local partner mapping, a monitoring dashboard, and an AI assistant that
presents supply chain information according to tourists' preferences. The survey showed a high
need for digital tools among partners: 71% of respondents expected the application to provide
automated recommendations, and 86% were willing to learn a new website or application. After
mentoring, most respondents were confident in using the main features independently and intended
to use them in daily operations. These results indicate that a website with an AI Assistant has the
potential to support the green supply chain management of Dawala's tour packages. Sustainability
depends on regular data updates by partners, joint standard operating procedures, and stronger
village institutions