Judul: verning Elites and The Development of Tourism Village
Abstrak: Undang-Undang No. 6 Tahun 2014 mengatur tentang desa dalam urusan pemerintahan dan kepentingan masyarakat. Kehadiran pemerintah desa selaku elit desa berkuasa diperlukan untuk mengatur dua hal tersebut. Tiga tujuan penelitian adalah mengkaji keterlibatan masyarakat, mengidentifikasi kepemimpinan elit berkuasa, serta menganalisis hubungan elit desa berkuasa terhadap pembangunan desa wisata. Penelitian ini dilakukan di Desa Tugu Selatan dengan menggunakan metode penelitian kuantitatif yang diperkuat analisis data kualitatif. Hasil penelitian menunjukkan bahwa gaya kepemimpinan konsultatif diterapkan oleh Kepala Dusun, namun keterlibatan masyarakat berada pada kategori sedang. Uji korelasi menunjukkan bahwa tidak terdapat hubungan antara elit desa berkuasa dengan tingkat pembangunan desa wisata. Hal ini disebabkan karena gaya kepemimpinan konsultatif diterapkan pada perencanaan dan pelaksanaan program-program yang tidak berkaitan dengan sektor wisata. Ketergantungan elit desa berkuasa terhadap para pemodal luar desa menyebabkan mereka tidak mampu mempengaruhi pembangunan desa melalui sektor pariwisata untuk mensejahterakan masyarakat.
Keyword: Leadership, Village governing elite, Development of tourism village, Human Ecology, Quantitative Research, Qualitative Data, Village Community

Judul: The Role of Leaders and the Succes of Tourism Village (Case: Kampung Tematik Mulyaharja, Bogor Selatan Subdistrict, Bogor City, West Java)
Abstrak: Desa-desa di Indonesia mulai memaksimalkan potensi pengembangan desa wisata. Salah satunya adalah Kampung Wisata Mulyaharja, Kecamatan Bogor Selatan, Kota Bogor, Jawa Barat. Kampung wisata ini termasuk dalam kategori desa wisata yang maju. Penelitian ini bertujuan untuk melihat hubungan peran pemimpin kelompok penggerak pariwisata dengan tingkat keberhasilan dari Kampung Wisata Tematik Mulyaharja. Penelitian ini berlokasi di Kampung Wisata Tematik Mulyaharja, Kelurahan Mulyaharja, Kecamatan Bogor Selatan, Kota Bogor, Jawa Barat. Penelitian ini menggunakan pendekatan kuantitatif dengan 31 responden yang berada di bawah pimpinan ketua Kompepar dan didukung oleh data kualitatif melalui wawancara mendalam. Analisis data kuantitatif menggunakan analisis korelasi Rank Spearman dan data kualitatif dianalisis dengan mereduksi data dan penyajian data. Hasil dari penelitian ini menunjukkan bahwa ada hubungan yang signifikan antara peran ketua Kompepar dengan tingkat keberhasilan Kampung Wisata Tematik Mulyaharja. Namun, adanya korelasi yang signifikan antara peran mobilisasi dan tingkat sukses kampung wisata dapat menimbulkan risiko bagi keberlanjutan kampung wisata. Oleh karena itu, diperlukan peran kepemimpinan yang memprioritaskan keberlanjutan. Salah satu contohnya adalah penerapan Kepemimpinan Hijau., Villages in Indonesia are starting to maximize the potential for developing tourist villages. One of them is the Mulyaharja Tourist Village, South Bogor District, Bogor City, West Java. This tourist village falls into the category of advanced tourist villages. This study aims to look at the relationship between the role of tourism group leaders and the level of success of the Mulyaharja Thematic Tourist Village. This research is located in the Mulyaharja Thematic Tourist Village, Mulyaharja Village, South Bogor District, Bogor City, West Java. This study uses a quantitative approach with 31 respondents who are under the leadership of the Kompepar chairman and is supported by qualitative data through in-depth interviews. Quantitative data analysis uses Spearman Rank correlation analysis and qualitative data is analyzed by reducing data and presenting data. The results of this study indicate that there is a significant relationship between the role of the Kompepar chairman and the level of success of the Mulyaharja Thematic Tourist Village. However, the significant correlation between the role of mobilization and the success level of the tourist village can pose a risk to the sustainability of the tourist village. Therefore, a leadership role that prioritizes sustainability is needed. One example is the implementation of Green Leadership.
Keyword: Leader, Role, Succes, Tourism Village

Judul: Prediction of chemical compositions of calophyllum inophyllum l. Seeds by Near Infrared (NIR) method
Abstrak: The objective of this study was to apply NIR method to predict chemical composition of Calophyllum inophyllum L. seeds accurately (moisture, fat, acid number, free fatty acid contents). The reflectance of seeds at the wavelength ranges from 1000 to 2500 nm (4000-10000 cm-1 at intervals of 4 cm-1) were measured by NIRFlex Solids Petri Apparatus. Calibration method which used in this study are principal component regression (PCR) and partial least squares (PLS). Data treatment on the reflectance and absorbance spectrum are used that is: smooth average 3 points, second derivative Savitzky-Golay 9 points, normalization 0-1, combination both of smooth average 3 points and second derivative Savitzky-Golay 9 points, and combination of all data treatment. A number of 70 Calophyllum inophyllum L. seeds were used as samples. Samples were divided into two parts: ± 45 samples (2/3 of total samples) for developing calibration equation and ± 25 samples (1/3 of total samples) for performing validation. NIR data analysis shows that PLS method with NIR reflectance data and the combination both of smooth average 3 points and second derivative Savitzky-Golay 9 points is the best method of calibration and data treatment to predicting moisture contents of Calophyllum inophyllum L. seeds was also prediction with standard error of prediction (SEP) of 0.45% and coefficient of variability (CV) of 0.81%. Prediction of fat contents of Calophyllum inophyllum L. seeds best obtained with the PLS method, the reflectance data, and the combination both of smooth average 3 points and second derivative Savitzky-Golay 9 points was also prediction with standard error of prediction (SEP) of 0.37% and coefficient of variability (CV) of 0.62%. Prediction of acid number contents of Calophyllum inophyllum L. seeds best obtained with the PLS method, the absorbance data, and the second derivative Savitzky-Golay 9 points data treatment was also prediction with standard error of prediction (SEP) of 0.04% and coefficient of variability (CV) of 0.09%. And prediction of free fatty acid contents of Calophyllum inophyllum L. seeds best obtained with the PLS method, the reflectance data, and the combination was all data treatments was also prediction with standard error of prediction (SEP) of 0.04% and coefficient of variability (CV) of 0.18%.
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