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"Microgrid sistem ketenagalistrikan Sumba Timur hingga saat ini didominasi oleh Pembangkit Listrik Tenaga Diesel (PLTD) milik PT PLN (Persero). Melimpahnya potensi energi terbarukan di pulau Sumba mendorong adanya program Sumba Iconic Island (SII) untuk meningkatkan penggunaan energi terbarukan dengan target 95% hingga tahun 2020. Salah satu pembangkit pada program SII yang akan terhubung dengan sistem PT PLN (Persero) adalah Pembangkit Listrik Tenaga Bayu (PLTB). Perencanaan sistem ketenagalistrikan harus mencapai terpenuhinya kebutuhan beban, sehingga dibutuhkan kehandalan yang tinggi dan keekonomian yang sesuai. Sistem microgrid pembangkit existing akan dihitung kehandalan nya yang diikuti oleh analisis keekonomian berupa perhitungan biaya energy/Cost of Energy (COE) dan Net Present Cost (NPC) sistem. Kemudian penambahan PLTB sesuai rencana SII akan dianalisis, dari segi kehandalan menggunakan metode Loss of Load Probability (LOLP) dan dari segi keekonomian akan ditentukan besarnya COE dan NPC. Perhitungan LOLP menggunakan algoritma Visual Basic dalam Microsoft Excel, sedangkan analisis keekonomian menggunakan software Homer. Hasil penelitian dapat disimpulkan bahwa setelah ditambahkan PLTB dalam sistem existing microgrid Sumba Timur, maka LOLP dan keekonomian dapat berubah sesuai menjadi lebih baik dan lebih buruk. Kehandalan lebih baik saat LOLP makin kecil dan keekonomian lebih baik saat COE makin kecil, begitu juga sebaliknya. Skenario paling handal adalah penambahan 3 MW PLTB dengan asumsi capacity credit 40%, dimana LOLP akan turun dari 4,82 hari/tahun menjadi 3,86 hari/tahun, dan COE akan turun dari $0,270/kWh menjadi $0,267/kWh.

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On-grid existing power system in East Sumba is dominated by diesel generator. The great number of renewable energy potential on Sumba Island encourages the Sumba Iconic Island (SII) program to meet the renewable energy development target provide 95% electrification ratio using renewable energy by 2025. SII program plans to build Wind Turbine Power Plant that will be connected to the PLN grid system. Electricity system planning must achieve the fulfillment of load requirements, so a high reliability and appropriate economics system are needed. The existing microgrid system will be analized for both reliability and economical analysis, for reliability use LOLP calculation and generate Cost of Energy (COE) and Net Present Cost (NPC) for economical analysis. Adding Wind Turbine Power Plant in the existing system also will be analyzed with the same methode. Visual Basic in Microsoft Excel used to calculate the LOLP index, while Homer software used to optimize the COE and NPC of the microgrid system, include the detail type of power plant. The results of this research after adding PLTB in the existing Sumba East microgrid system, can be concluded that reliability and economical analysis can change according to better and worse. Better reliability when LOLP gets smaller and economical analysis is better when COE gets smaller, and the opposite matters. The most reliable scenario is the addition of 3 MW of Wind Turbine Power Plant with 40% capacity credit assumption, where the LOLP will drop from 4,82 days/year to 3,86 days/year, and COE will drop from $ 0,270/kWh to $ 0,267/kWh."

"Penelitian ini bertujuan untuk menyusun model pengelolaan berkelanjutan ekowisata bahari pantai di Kabupaten Sumba Timur. Penelitian akan dilakukan di lima lokasi pantai, yaitu Walakiri, Londa Lima, Tapil, Wanga, dan Puru Kambera. Penelitian menggunakan pendekatan kualitatif deskriptif dengan teknik pengumpulan data melalui wawancara mendalam, observasi lapangan, dan telaah dokumen. Tujuh subkriteria digunakan dalam menilai aspek lingkungan, sosial, dan ekonomi, yang kemudian akan dilakukan pembobotan dan skoring untuk menentukan tingkat kesiapan pengelolaan untuk masing-masing pantai. Hasil analisis tersebut kemudian divisualisasikan dalam peta kesesuaian wilayah yang menjadi dasar untuk penyusunan skema bagan model pengelolaan. Dalam proses penyusunan model, digunakan pendekatan regionalisasi untuk mengelompokkan wilayah berdasarkan tingkat kesiapan dan karakteristik pantai. Selain itu, Nested Sustainability digunakan sebagai kerangka keberlanjutan, dengan menempatkan lingkungan sebagai fondasi utama yang melingkupi aspek sosial dan ekonomi. Hasil penelitian menunjukkan bahwa setiap pantai memiliki karakteristik yang berbeda, sehingga model pengelolaan yang disusun bersifat kontekstual dan menyesuaikan dengan tingkat kesiapan wilayah. Model yang dihasilkan menekankan pentingnya dukungan kelembagaan, keterlibatan masyarakat lokal, serta perlindungan terhadap kondisi lingkungan pesisir sebagai fondasi utama.

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This study aims to develop a model for sustainable coastal ecotourism management in East Sumba Regency. The research will be conducted at five coastal locations, namely Walakiri, Londa Lima, Tapil, Wanga, and Puru Kambera. The research employs a descriptive qualitative approach, utilizing data collection techniques such as in-depth interviews, field observations, and document reviews. Seven sub-criteria are used to assess environmental, social, and economic aspects, which will then be weighted and scored to determine the level of management readiness for each beach. The results of the analysis are then visualized in a suitability map, which serves as the basis for developing a management model framework. In the model development process, a regionalization approach is used to group areas based on their readiness level and beach characteristics. Additionally, Nested Sustainability is employed as the sustainability framework, with the environment as the primary foundation encompassing social and economic aspects. The research results show that each beach has different characteristics, so the management model developed is contextual and adapts to the level of readiness of the area. The resulting model emphasizes the importance of institutional support, local community involvement, and protection of coastal environmental conditions as the main foundation. "

"The purpose of the study was to compare the nutritional status of children receiving supplementary food from the high and low performing health centers in East Sumba District, Indonesia.

Assessment of all 15 health centers was the first stage to determine the performance level using input output process approach, and 568 selected households from two performance categories was the second stage to investigate nutritional status. A Scoring system was used to determine the performance level, and anthropometry was used to assess nutritional status. SPSS 10.0 and Epilnfo 6.04b were used for data analyses. The study was conducted from February to March 2001.

All input-process-output and personnel capability variables between the two performance levels were significantly different. The supplementary feeding package fulfilled optimally the standard requirement, but the method and frequency of distribution did not The prevalence of malnutrition was significantly different between the two performance levels.

Lack of transportation and small number of personnel might have influenced the improper nutrition service management."