Judul: Conservation-Based Star Beach Tourism Development Strategy on Pari Island
Abstrak: Pantai Bintang merupakan pantai yang dikelola oleh kelompok masyarakat di Pulau Pari. Pantai Bintang memiliki potensi berupa hamparan pasir yang putih dan tidak terdapat biota berbahaya. Pantai Bintang mengalami kerusakan akibat dari bencana banjir rob sehingga terjadi pengikisan pantai. Masyarakat setempat mulai mengembangkan dan memperbaiki kerusakan Pantai Bintang dikarenakan jumlah wisatawan terus meningkat. Penelitian ini bertujuan untuk merumuskan strategi pengembangan pantai berbasis konservasi dengan menggunakan analisis kesesuaian wisata, daya dukung kawasan, dan analisis SWOT. Penelitian dilaksanakan pada bulan September sampai November 2023 di Pantai Bintang, Pulau Pari, Kepulauan Seribu. Pengumpulan data dilakukan dengan observasi lapang dan wawancara. Hasil penelitian yang didapatkan bahwa wilayah Pantai Bintang yang sesuai lebih banyak bila dibandingkan dengan yang tidak sesuai. Daya dukung kawasan untuk rekreasi pantai sebanyak 46 orang/hari. Strategi yang dapat dikembangkan adalah meningkatkan promosi mengenai potensi dan keunggulan pantai, menutup kawasan wisata yang tidak sesuai sementara untuk dilakukan rehabilitasi, dan menanam mangrove guna mencegah abrasi., Pantai Bintang is a beach managed by a community group on Pulau Pari. Pantai Bintang features potential in the form of white sandy expanses and is free from harmful biota. The beach has suffered damage due to tidal flooding, leading to coastal erosion. Local communities have begun efforts to develop and repair Pantai Bintang due to increasing tourist numbers. This study aims to formulate a conservation-based beach development strategy using tourism suitability analysis, area carrying capacity, and SWOT analysis. The research was conducted from September to November 2023 at Pantai Bintang, Pulau Pari, Kepulauan Seribu. Data collection involved field observations and interviews. The research findings indicate that a significant portion of Pantai Bintang is suitable compared to unsuitable areas. The area's carrying capacity for beach recreation is 46 people per day. Proposed strategies include enhancing promotion of the beach's potential and strengths, temporarily closing unsuitable tourist areas for rehabilitation, and planting mangroves to prevent erosion.
Keyword: daya dukung kawasan, Ekowisata pantai, konservasi, Strategi, pantai bintang

Judul: Potensi Sumberdaya Mangrove Sebagai Dukungan Ekowisata Pantai Pasir Perawan Pulau Pari
Abstrak: Pulau Pari memiliki potensi sumberdaya laut yang besar dengan keanekaragaman hayati yang tinggi salah satunya ekosistem mangrove. Ekosistem mangrove memberikan manfaat atau jasa bagi ekosistem dan manusia. Pemanfaatannya berupa kegiatan ekowisata sebagai upaya konservasi mangrove. Potensi ekowisata mangrove yang dapat dikembangkan adalah wisata mangrove Pantai Pasir Perawan. Penelitian ini bertujuan untuk merumuskan strategi pengembangan wisata mangrove sebagai kawasan ekowisata dengan analisis kesesuaian wisata, daya dukung kawasan dan SWOT. Penelitian dilaksanakan pada bulan September hingga November 2023. Pengambilan contoh dilakukan di kawasan mangrove Pantai Pasir Perawan. Pengumpulan data dilakukan melalui observasi lapang dan wawancara pengisian kuesioner. Hasil penelitian menunjukkan bahwa kawasan mangrove di Pantai Pasir Perawan masuk dalam kategori sesuai untuk ekowisata. Pengembangan ekowisata meliputi berperahu dan tracking mangrove, dengan daya dukung masing-masing 120 orang per hari dan 46 orang per hari.Strategi pengembangan ekowisata memprioritaskan tiga alternatif strategi yaitu pengembangan potensi kegiatan tracking mangrove dan berperahu, melakukan promosi serta rehabilitasi mangrove., Pari Island has large marine resource potential with high biodiversity, one of which is the mangrove ecosystem. The mangrove ecosystem provides benefits or services for the ecosystem and humans. The use is in the form of ecotourism activities as a mangrove conservation effort. The potential for mangrove ecotourism that can be developed is the mangrove tourism at Pasir Perawan Beach on Pari Island. This research aims to formulate a strategy for developing mangrove tourism as an ecotourism area by analyzing tourism suitability, regional carrying capacity and SWOT. The research was carried out from September to November 2023. Samples were taken in the mangrove area of Pasir Perawan Beach. Data collection was carried out through field observations and interviews to fill out questionnaires. The research results show that the mangrove area at Pasir Perawan Beach is in the category suitable for ecotourism. Ecotourism development includes boating and mangrove tracking, with a carrying capacity of 120 people per day and 46 people per day respectively. The ecotourism development strategy prioritizes three alternative strategies, namely developing potential mangrove tracking and boating activities, promoting and rehabilitating mangrove.
Keyword: carrying capacity, ecotourism, mangrove, strategy

Judul: Klasifikasi genre musik menggunakan Learning Vector Quantization (LVQ)
Abstrak: Radio stations and music television have a milion of music tapes. A lot of musical genres create a problem when people wants to determine the right genre of a new kind of music. To classify the musical genre is not an easy task, because the musical genre is really difficult to standardization. Automatic musical genre classification can assist the human role in that process and help people to searching for the song acording to the genre that people want. This research using Mel Frequency Coefficient Cepstrum (MFCC) to obtain feature extraction. Learning Vector Quantization (LVQ), one kind of artificial neural network used for classification method. The number of genres that are used were four kind of musical genre, that is rock, classic, keroncong, and jazz with four different duration that is 5 second, 10 second, 20 second and 25 second. This research using k- fold cross validation to distribute dataset for training and testing set with the number of folds as much as 2 until 10 fold. This research succesfully implemented MFCC feature exraction and classification using LVQ. Based on this research, the accuracy of the classification using Learning Vector Quantization reaches 93,75% for the four type musical genre. The highest accuracy value was obtain from the experiments with a duration of 10 second and the number of fold 4. Training time for each duration is 30 minute for 5 second music duration, 45 minute for 10 second music duration 120 minute for 20 second music duration and 150 minute for 25 second music duration.
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