PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ANDROID MATA KULIAH KEBIJAKAN VOKASI KETEKNIKAN PADA PROGRAM PEMINATAN TECHNOPREUNERSHIP DAN INOVASI

This research aims to develop learning medium with vocational and technical for android, bades on matter expert and media expert. This research adapted from ADDIE development model which is a type of Research and Development (R&D) there are 5 stages include: 1) Analysis, 2) Design, 3) Development, 4) Implementation, and 5) Evaluation, but the research is only carried out until the Implementation phase. Validation of the media is done by one matter expert and one media expert.This results showed that the level of media feasibility with vocational and technical for android as a medium learning based on assessment: 1) subject matter expert obtained a total score of 65 and percentage scored 74%, 2) media expert obtained a total score of 69 and percentage scored 78,5%. The vocational and technical medium for android is feasible to use. Keywords: ADDIE, android, learning mediu

A MODEL WITH STORAGE LIMITATION AND SIMULATED DEMAND AS FRESH MEAT INVENTORY MANAGEMENT SUPPORT

An important aspect of retail outlets which offer different kinds of fresh meat is the careful planning of inventory. In this context, inventory management includes ensuring the required quantity of meat, storing it in an adequate way, and also minimizing the setup cost, holding cost, shortage cost and possible losses that might occur if the goods remain unsold. By devising and applying appropriate models companies can significantly improve their decision making connected to harmonizing the demand and different inventory costs. This paper presents an inventory model with limited storage space, characterized by the estimate of meat demand based on simulated values generated by computer from beta distribution. If the determined quantities exceed the available storage space, the Lagrange multiplier which allows for simultaneous decrease of the originally established values, could be used in the model. This eventually results in the optimum order quantity of different meat products, as well as the associated total storage costs

A re-interpretation of the Triangulum-Andromeda stellar clouds: a population of halo stars kicked out of the Galactic disk

The Triangulum-Andromeda stellar clouds (TriAnd1 and TriAnd2) are a pair of concentric ring- or shell-like over-densities at large $R$ ($\approx$ 30 kpc) and $Z$ ($\approx$ -10 kpc) in the Galactic halo that are thought to have been formed from the accretion and disruption of a satellite galaxy. This paper critically re-examines this formation scenario by comparing the number ratio of RR Lyrae to M giant stars associated with the TriAnd clouds with other structures in the Galaxy. The current data suggest a stellar population for these over-densities ($f_{\rm RR:MG} < 0.38$ at 95% confidence) quite unlike any of the known satellites of the Milky Way ($f_{\rm RR:MG} \approx 0.5$ for the very largest and $f_{\rm RR:MG} >>1$ for the smaller satellites) and more like the population of stars born in the much deeper potential well inhabited by the Galactic disk ($f_{\rm RR:MG} < 0.01$). N-body simulations of a Milky-Way-like galaxy perturbed by the impact of a dwarf galaxy demonstrate that, in the right circumstances, concentric rings propagating outwards from that Galactic disk can plausibly produce similar over-densities. These results provide dramatic support for the recent proposal by Xu et al. (2015) that, rather than stars accreted from other galaxies, the TriAnd clouds could represent stars kicked-out from our own disk. If so, these would be the first populations of disk stars to be found in the Galactic halo and a clear signature of the importance of this second formation mechanism for stellar halos more generally. Moreover, their existence at the very extremities of the disk places strong constraints on the nature of the interaction that formed them.Comment: 27 pages, 8 figures; published in MNRA

KEANEKARAGAMAN JENIS ANGGREK ALAM (Orchidaceae) BERDASARKAN KETINGGIAN TEMPAT DI GUNUNG POTENG CAGAR ALAM RAYA PASI KOTA SINGKAWANG PROVINSI KALIMANTAN BARAT

Natural orchids are one of the flora in Mount Poteng which is included of Raya Pasi Nature Reserve located at Singkawang City, West Kalimantan Province. Orchids have economic value for source of income and be beneficial to ecology that needs to be protected. The altitudes and environmental factors strongly affected the presence of orchid species.The research aims to record the diversity of natural orchids species based on the altitudes place in Mount Poteng. The research was conducted on February 28 until March 28, 2020. This research uses survey method. The research sample was taken using double plots method and to determine sample plots locations is conducted by purposive. The total number of the sample plots is 16 plots and each plot measure 20 by 50 meters. Based on the result of research found 19 species of natural orchids that consist of 348 individuals. The results analysis of the diversity index of orchid species in whole of altitudes at Mount Poteng is 1,338 that is included medium range. The highest species diversity index of 1,300 occurred at altitude of 400-500 m asl and the lowest species diversity index at altitude of 700-725 m asl that is 0,594. Orchid species which found in whole of altitudes is Dendrobium crumenatum. Furthermor, there were found the orchid species on certain heights are Cleisostoma scortechinii, Cordiglottis filiformis, Ludisia discolor, and Phalaenopsis pantherina at altitude of 400-500 m asl and species of Bromheadia finlaysoniana and Pomatocalpa latifolia found at altitude of 700-725 m asl.Keywords: altitudes, mount poteng, orchids, species diversit

Search for high-amplitude Delta Scuti and RR Lyrae stars in Sloan Digital Sky Survey Stripe 82 using principal component analysis

We propose a robust principal component analysis (PCA) framework for the exploitation of multi-band photometric measurements in large surveys. Period search results are improved using the time series of the first principal component due to its optimized signal-to-noise ratio.The presence of correlated excess variations in the multivariate time series enables the detection of weaker variability. Furthermore, the direction of the largest variance differs for certain types of variable stars. This can be used as an efficient attribute for classification. The application of the method to a subsample of Sloan Digital Sky Survey Stripe 82 data yielded 132 high-amplitude Delta Scuti variables. We found also 129 new RR Lyrae variables, complementary to the catalogue of Sesar et al., 2010, extending the halo area mapped by Stripe 82 RR Lyrae stars towards the Galactic bulge. The sample comprises also 25 multiperiodic or Blazhko RR Lyrae stars.Comment: 23 pages, 17 figure

Efficient use of simultaneous multi-band observations for variable star analysis

The luminosity changes of most types of variable stars are correlated in the different wavelengths, and these correlations may be exploited for several purposes: for variability detection, for distinction of microvariability from noise, for period search or for classification. Principal component analysis is a simple and well-developed statistical tool to analyze correlated data. We will discuss its use on variable objects of Stripe 82 of the Sloan Digital Sky Survey, with the aim of identifying new RR Lyrae and SX Phoenicis-type candidates. The application is not straightforward because of different noise levels in the different bands, the presence of outliers that can be confused with real extreme observations, under- or overestimated errors and the dependence of errors on the magnitudes. These particularities require robust methods to be applied together with the principal component analysis. The results show that PCA is a valuable aid in variability analysis with multi-band data.Comment: 8 pages, 5 figures, Workshop on Astrostatistics and Data Mining in Astronomical Databases, May 29-June 4 2011, La Palm