Judul: Socio-Ecological System of Mangrove Ecotourism in Pari Island, Seribu Island, DKI Jakarta
Abstrak: Ekosistem mangrove adalah ekosistem pesisir yang dimanfaatkan sebagai olahan pangan, perikanan, dan ekowisata. Tujuan penelitian ini adalah mengidentifikasi komponen sistem sosial ekologi, mendeskripsikan pemanfaatan serta faktor-faktor pendukung pengelolaan mangrove Pulau Pari, Kepulauan Seribu. Pengumpulan data diperoleh dengan pengukuran kerapatan mangrove dan kualitas air pada 3 stasiun. Wawancara dilakukan kepada masyarakat, wisatawan, dan pengelola wisata. Analisis data terdiri dari analisis kerapatan mangrove, konektivitas sistem sosial ekologi, analisis pemangku kepentingan, dan analisis strategi pengelolaan mangrove. Hasil menunjukkan bahwa komposisi mangrove di Pulau Pari tergolong dalam kategori sedang dengan spesies yang mendominasi adalah Rhizophora stylosa. Konektivitas yang terjadi pada sistem sosial-ekologi ekowisata mangrove menunjukkan bahwa peran resources governance masih minim. Rekomendasi pengelolaan yang penting untuk dilakukan yaitu kerjasama pemerintah dengan masyarakat pulau sebagai aktor yang turut serta mengelola ekosistem., Mangrove ecosystems are coastal ecosystems that are utilized as processed food, fisheries, and ecotourism. The purpose of this study was to identify the components of the social ecological system, describe the utilization and supporting factors of mangrove management on Pari Island, Kepulauan Seribu. Data collection was obtained by measuring mangrove density and water quality at 3 stations. Interviews were conducted with the community, tourists, and tour managers. Data analysis consists of mangrove density analysis, social ecological system connectivity, stakeholder analysis, and mangrove management strategy analysis. The results showed that the composition of mangroves on Pari Island was classified as moderate with the dominating species being Rhizophora stylosa. The connectivity that occurs in the social-ecological system of mangrove ecotourism shows that the role of resource governance is still minimal. Management recommendations that are important to do are government cooperation with the island community as actors who participate in managing the ecosystem.
Keyword: connectivity, ecotourism, mangrove, Pari Island

Judul: Social-Ecological System Connectivity of Mangrove Ecotourism in Tidung Island, Seribu Seribu, DKI Jakarta
Abstrak: Mangrove ecosystems have several other functions as abrasion prevention, wave breakers, feeding ground for aquatic biota that live in mangroves. Mangrove ecosystems have a cultural function for connectivity between ecological subsystems and social subsystems. The purpose of the study was to identify and map the components of the ecological social system and analyze the factors supporting management in the mangrove ecotourism area. The research was conducted from September to November 2023 on Tidung Island. The analysis used is the social- ecological system approach and stakeholder analysis. The results obtained are the total mangrove area is 70 Ha which is dominated by R. Stylosa mangrove species. Mangrove ecosystems are utilized in mangrove ecotourism and become the main source of livelihood for fishermen. Supporting factors that can manage mangroves to be sustainable are stakeholders (Kelurahan and PBKL) and the Tidung Island community
Keyword: connectivity, ecoturism, management, mangrove, ses

Judul: Construction of Strongly Optimal Binary Linear Code with Minimum Distance 9 and 11
Abstrak: A binary linear code of length n over q F is a subspace of n q F . A code has three parameters that attached to it, namely length, dimension, and minimum distance. A code with length n, dimension k and minimum distance d is often called [n, k, d ]-code. Usually, when two parameters are given, then we want to find a code that has the best value for the last parameter. Based on Gilbert- Varshamov bound, if a [n, k, d ]-code exists and can not be expanded, we call it a strongly optimal code. In this paper, we construct strongly optimal code with minimum distance 9 and 11. In constructing the code, we created a theorem and algorithm based on Gilbert-Varshamov bound before we implement the algorithm to MAPLE programming language. Because of computational limitations, the program can only construct up to k = 10 for d = 9 and k = 12 for d = 11.
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