As a biodegradableplastic, polylactideacid (PLA) can be blended with polyethylene glycol (PEG) to form a polymer blend because PEG has a good miscibility with PLA. Furthermore, this paper study the functional groups of PLA-PEG400 blend using direct casting to produce matrix film. Fourier Transform Infrared (FTIR) and Raman spectroscopy was used to identify alteration of functional group PLA-PEG400 blend. Absorbance and frequency wavenumber were used to observe any changing among functional group. In general, PLA-PEG blend did not produce a new configuration or chemical properties although some functional groups tended to decrease. PLA-PEG400 film spectra showed a similaritycompared to those of neat PLA because of each pristine polymer. However, FTIR and Raman investigated reducing carbonyl group of PLA with PEG400 addition and followed improving CH-COC bonding. Methyl group represented CH3symmetricchanged both the shift and absorbance.FTIR and Raman spectroscopy observed increasing hydrogen bonding with increasing PEG400 addition where a largest was found at PEG 10% and appeared at frequency range from 3400 cm−1 to 3600 cm−1. According to PEG400 addition, a FTIR measuredenhancing crystalline region.

Bawang merah merupakan salah satu jenis komoditas yang menjadi kebutuhan masyarakat. Namun bawang merah sangat mudah mengalami perubahan mutu seperti susut bobot, perubahan volatile dan mengalami kerusakan karena memiliki kandungan air yang tinggi, sehingga diperlukan metode penyimpanan yang baik untuk mempertahankan kesegarannya selama penyimpanan. Salah satu cara untuk mempertahankan kesegaran dan kualitas bawang merah adalah menyimpan pada suhu rendah dengan tingkat kadar air tertentu. Adapun tujuan dari penelitian ini untuk mengetahui tingkat kadar air dan suhu penyimpanan yang mempertahankan mutu bawang merah konsumsi, serta pendugaan mutu bawang merah hingga penyimpanan 6 bulan. Bawang merah dikeringkan hingga kadar air mencapai 85% dan 80% kemudian dimasukkan kedalam kemasan rajut masing-masing sebanyak 2 kg dan dilakukan penyimpanan pada suhu 5°C dengan RH 65-70%, 10°C dengan RH 65-70% dan suhu ruang (25-30°C) dengan RH 52-88% selama 8 minggu. Dari hasil penelitian menunjukkan bahwa penyimpanan bawang merah yang terbaik pada kadar air 80% dengan suhu 5°C RH 65-70%, menghasilkan susut bobot 7,06%, kadar air 79,48%, kerusakan 0,37%, kekerasan 4,38 N, dan VRS 26,53 ?Eq/g. Berdasarkan pendugaan daya simpan, susut bawang merah hingga penyimpanan 6 bulan dengan penyimpanan pada suhu 5°C dengan kadar air 80% sebesar 21,466%.Kata kunci :bawang merah, suhu, kadar air, penyimpanan, kualitas.English Version AbstractShallot is one of the types of commodities into the needs of society. But shallots are very susceptible to changes in quality such as weight loss, changes in the volatile and damaged because it has a high water content, so it needed a good storage method for maintaining freshness during storage. One way to maintain the freshness and quality of shallot is storing at low temperatures with a certain level of water content. The aim of this study was to determine the level of water content and storage temperature to maintain the quality of shallot consumption, and shallot estimation quality until 6 months of storage. Shallots were dried to water content reached 85% and 80% and then inserted into the knited packaging each of 2 kg and then stored at 5°C with RH 65-70%, 10°C with RH 65-70% and room temperature (25-30°C) with RH 52-88% for 8 weeks. The result of the experiment showed that storage of shallot in water content of 80% at 5°C RH 65-70%, resulting in a weight loss of 7,06%, the water content of 79.48%, disorder 0,37%, hardness 4,18 N and VRS 26.53 ?Eq / g. Based on the estimation of shelf life, storage losses of shallot until 6 months with storage at 5 °C with water content of 80% of to 21.466%.Keywords :shallot, suhu, water content, storage, quality.

Rural electrification using renewable energy is the best choice for many locations that far away from national grid. Many renewable energy project have been built for rural electrification such as micro hydro power plant (MHPP) and solar photovoltaic (SPV). Sustainability still the main challenge of off-grid renewable energy development for off-grid rural electrification in Indonesia. The objective of this paper is to review sustainability of micro hydro power development in Indonesia. The research method was done by field observation, interview with MHPP management, and reviewing some research about MHPP in Indonesia. Sustainability issues include various aspects that can be classified into 5 dimensions: technical, economic, socio-cultural, institutional, and environmental. In technical factors that lead to sustainability problem are: improper MHPP design and construction, improper operation and maintenance, availability of spare parts and expertise. In the economic dimension are generally related to: low electricity tariff and utilization of MHPP for productive use. In the social dimension are: the growth of consumer's load exceeding the capacity, reduced number of consumers, lack of external institutional support. In the institutional side, it is generally related to the ability of human resources in managing, operating and maintaining of MHPP. Environmental factors that lead the sustainability problems of MHPP are: scarcity of water discharge, conflict of water resources, land conversion over the watershed, and natural disasters.

Grading is a decisive step in the successful distribution of mangoes to customers according to their preferences for the maturity index. A non-destructive method using near-infrared spectroscopy has historically been used to predict the maturity of fruit. This research classifies the maturity indexes in five classes using a new approach involving classification modeling and the application of fuzzy logic and indirect classification by measuring four parameters: total acidity, soluble solids content, firmness, and starch. These four quantitative parameters provide guidelines for maturity indexes and consumer preferences. The development of portable devices uses a neo spectra micro development kit with specifications for the spectrum of 1350–2500 nm. In terms of computer technology, this study uses a Raspberry Pi and Python programming. To improve the accuracy performance, preprocessing is carried out using 12 spectral transformation operators. Next, these operators are collected and combined to achieve optimal performance. The performance of the classification model with direct and indirect approaches is then compared. Ultimately, classification of the direct approach with preprocessing using linear discriminant analysis offered an accuracy of 91.43%, and classification of the indirect approach using partial least squares with fuzzy logic had an accuracy of 95.7%.