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: Potential Analysis of Beach Ecotourism for Ecotourism development at Perawan Beach, Pari Island, Thousand Islands
Abstrak: Pantai Perawan merupakan objek wisata yang memiliki potensi sumberdaya pantai untuk dikembangkan ke arah ekowisata. Penelitian bertujuan menentukan strategi pengelolaan berdasarkan potensi dan kesesuaian sumberdaya, daya dukung dan persepsi pengunjung ekowisata pantai pada masa pandemi Covid-19 di Pulau Pari, Kepulauan Seribu, DKI Jakarta. Penelitian dilaksanakan pada Juni 2021 hingga Maret 2022. Analisis yang digunakan yaitu indeks kesesuaian wisata, daya dukung kawasan, analisis persepsi dan analisis SWOT. Hasil penelitian menunjukkan kesesuaian wisata Pantai Perawan masuk ke dalam kategori sesuai dan sangat sesuai dengan daya dukung 20 orang/hari. Berdasarkan persepsi wisatawan, kenaikan tarif masuk pantai dapat dilakukan untuk kebutuhan peningkatan kawasan pantai. Peningkatan yang dapat dilakukan di kawasan Pantai Perawan yaitu peningkatan sarana dan prasarana, peningkatan keselamatan dan keamanan pantai serta pemeliharaan sumberdaya pantai. Strategi pengelolaan pantai yang dapat digunakan untuk pengembangan ekowisata yaitu menjadikan Pantai Perawan menjadi wisata ekslusif dengan jumlah pengunjung yang terbatas, melakukan kerjasama dengan pemerintah maupun swasta di bidang pariwisata dan konservasi, melakukan kerjasama dengan stakeholder baik pemerintah maupun masyarakat dalam pengembangan ekowisata, Perawan Beach is a tourist attraction with potential coastal to be developed for ecotourism. The research aims to determine management strategies based on the potential and suitability of resources, carrying capacity, and visitor perceptions of beach ecotourism during the COVID-19 pandemic on Pari Island, Thousand Islands, DKI Jakarta. The research was conducted between June 2021 to March 2022. The analysis used in the research is the tourism suitability index, carrying capacity, perception analysis, and SWOT analysis. The analysis's results indicate that the suitability index of Perawan Beach is in the suitable and very suitable categories, with a carrying capacity of 20 guests per day. Based on tourist perceptions, an increase in the entrance fee for the beach can be made to accommodate the need to increase the beach area. Improvements that can be made in the Virgin Beach area include improving facilities and infrastructure, increasing beach safety and security, and maintaining coastal resources. Management Strategy is obtained from SWOT analysis. Beach management strategies that can be used for ecotourism development include making Perawan Beach exclusive to tourism with a limited number of visitors, collaborating with the government and the private sector in tourism and conservation, and collaborating with stakeholders both in government and the community in developing ecotourism
Keyword: carrying capacity, ecotourism, likert analysis, perawan beach

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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