Judul: Dampak Industri Pertambangan Emas Tanpa Izin terhadap Kehidupan Sosial dan Ekonomi Gurandil (Kasus Desa Pangkal Jaya, Kecamatan Nanggung, Kabupaten Bogor)
Abstrak: Rural industrialization was synergy in order to promote the economic empowerment of rural farmers.Various changes that occur in response to industrial development and the accompanying impact will vary depending on a subjective definition of the affected private interests and social values of the society. The impact of the mining industry can affect people's lifestyles countryside views of change aspects activities, interests, and one person's opinion. The method used in this study is a randomized method (simple random sampling) and using the Spearman rank to analyze the relationship between variables. The results of this study is the impact of the mining industry seen from the change rate of employment become illegal miners. There is a moderate positive relationship between the impact of the mining industry to the community because the community's response to the changes lofty views of employment, the level of expenditure and income level. Likewise with the public response to the lifestyle there is a positive relationship are due to changes in lifestyle society.
Keyword: Bogor Agricultural University, community response, lifestyle, mining, industry

Judul: Dampak aktivitas pertambangan bahan galian golongan c terhadap kondisi kehidupan masyarakat desa (analisis sosio-ekonomi dan sosio-ekologi masyarakat Desa Cipinang, Kecamatan Rumpin, Kabupaten Bogor, Jawa Barat)
Abstrak: Mining activities is a natural resource mining dredging activities of contained in the soil. This mining activities in its implementation will give positive and negative impact on sosio-economic and sosio-ecological aspect for the local community. The purpose of this study is 1) to explain the sosio-economic impacts of mining activities and 2) to explain the sosio-ecological impacts of mining activities. This research metode uses a quantitative approach supported by the use of qualitative approach. Primary data obtained from the interviews and questionnaires, while secondary data obtained from the documentation and study of literature. The data generated using of cross tabulation and frequency tables and descriptive analysis. The selection of respondents using of cluster sampling techniques to select two different village is Kampung Joglo and Kampung Gunung Cabe. The choice of location is based on mining the large number of industrial plants to see an impact on the agricultural sector. The result of this research showed that in general, in Kampung Joglo and Kampung Gunung Cabe, mining activities gives a negative impacts on socio-economic and sosio-ecological aspects. On sosio-economic aspect are seen in the declining level of the employment in agriculture due to the limited area of agricultural land owned by the local community. Meanwhile, the level of non-agricultural employment opportunities have increased in line with the opening of employment opportunities in the mining sector. The occurens conflicts between local communities with the company caused by the changes of environmental conditions. On sosio-ecological aspect is the occurens changes of the air, a disturbance on the condition of water resources, noise pollution is caused by blasting activities and mineral transport trucks. In addition, still many community members who suffers from respiratory tract such as shortness of breath, caugh, colds and diarrhea.
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Judul: Pemodelan chord pada piano menggunakan metode fuzzy learning vector quantization
Abstrak: Seorang pemain piano pemula maupun autodidak umumnya belum melalui tahap latihan yang baik sehingga kemampuan untuk mengenali chord yang dimiliki masih kurang. Oleh karena itu, suatu sistem yang dapat mengenali chord untuk membantu proses pemahaman chord yang dimainkan dibutuhkan. Penelitian ini memodelkan chord yang terdiri atas 3 nada (triad) ke dalam beberapa kelas. Data yang digunakan dalam penelitian ini adalah 24 chord mayor dan minor. Data training dan data testing divariasikan dalam 4 model menggunakan 5-fold crossvalidation. Ekstraksi ciri akan dilakukan dengan metode Mel Frequency Cepstrum Coefficients, dan klasifikasi akan dilakukan dengan metode Fuzzy Learning Vector Quantization (FLVQ). Pemodelan FLVQ dilakukan dengan melakukan variasi pada learning rate serta koefisien fuzzyness. Penelitian ini telah berhasil membentuk model FLVQ dengan akurasi rata-rata 79.38% serta akurasi maksimum 100%. Akurasi maksimum dicapai dengan nilai learning rate α sebesar 0.05 dan koefisien fuzzyness β sebesar 0.05 menggunakan epoch sebanyak 20 pada FLVQ model 2.
Keyword: chord, FLVQ, MFCCs, modeling, note.