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Recreation: [Wimpy\u27s New Hope Marina, 14001 W. Walnut Grove Rd.]
No full textWimpy\u27s New Hope Marina, 14001 W. Walnut Grove Rd. on the Mokelumne River, near Walnut Grove. Phone 209/794-2544. P.O. Box 186, Thornton, Calif. Everything available for: Boating, fishing, water skiing, camping, mobile homes. Cocktail lounge, dining room, snack bar, Marina service. Wimpy and Evelyn, your hosts.https://scholarlycommons.pacific.edu/postcards/2862/thumbnail.jp
Uji Aktivitas Antioksidan Kombinasi Ekstrak Sarang Semut ( Myrmecodia Pendans) dan Daun Sirsak (Annona Muricata) dengan Metode DPPH (2,2-diphenyl-1-picrilhidrazyl)
No full textRadikal bebas adalah suatu senyawa atau molekul yang mengandung satu atau lebih elektron tidak berpasangan pada orbital luarnya sehingga menyebabkan senyawa tersebut sangat reaktif mencari pasangannya dengan cara menyerang dan mengikat elektron molekul yang berada di sekitarnya. Akibat kerja radikal bebas adalah gangguan fungsi sel, kerusakan struktur sel, bahkan mutasi.Antioksidan merupakan senyawa yang dapat menghambat oksigen reaktif dan radikal bebas dalam tubuh.Senyawa flavonoid di dalam daun sirsak dan sarang semut berperan sebagai anti oksidan. Tujuan dari penelitian ini adalah untuk menguji aktivitas antioksidan kombinasi ekstrak sarang semut (Myrmecodia Pendans) dan Daun Sirsak (Annona muricata) dengan metode DPPH (2,2-diphenyl-1-picrilhidrazyl). Penelitian ini dilakukan dengan desain analitik eksperimental.Tempat untuk mendapatkan ekstrak dan uji aktivitas antioksidan dilakukan di laboratorium Kimia Akademi Analis Kesehatan Nasional Surakarta.Penelitian dilakukan pada tahun 2014. Hasil penelitian didapatkan, rendemen hasil ekstraksi teknik maserasi, semua fraksi terdeteksi adanya Alkaloid, flavonoid, saponin dan Tanin, fraksi air sarang semut mempunyai IC50sebesar 76,64 ppm sedang fraksi Butanol sebesar 76,82 ppm, kombinasi ekstrak sarang semut dan ekstrak daun sirsak (1:1) mempunyai IC50 sebesar 71,09 ppm, fraksi air daun sirsak mempunyai IC50 73,48 ppm sedang fraksi Butanol memiliki IC50 99,70 ppm sehingga fraksi air lebih baik dibandingkan fraksi Butanol. Kombinasi ekstrak sarang semut dengan daun sirsak dengan perbandingan 1:1 memiliki aktifitas antioksidan lebih baik dari bentuk tunggalnya
What, No Wimpy?
No full textPhotograph used for a story in the Daily Oklahoman newspaper. Caption: "Mickey, the little trained monkey owned by W. E. West, 1719 NW 32, is another Segar fan.
UJI AKTIVITAS ANTIOKSIDAN KOMBINASI EKSTRAK SARANGSEMUT (MYRMECODIA PENDANS) DAN EKSTRAK KELADI TIKUS (TYPHONIUM FLAGELLIFORME LODD.) DENGAN METODE DPPH (1,1-DIPHEYL-2-PICRILHIDRAZIL)
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ABSTRAK
Tanaman sarang semut dan keladi tikus digunakan sebagai tanaman obat. Sarang semut memiliki kandungan tokoferol, fenolik dan flavonoid. Keladi tikus memiliki kandungan alkaloid, saponin, steroid, glikosida dan RIP (Ribosome Inacting Protein) efektif sebagai antioksidan dan penyembuhkan kanker. Tujuan penelitian untuk mengetahui aktivitas antioksidan kombinasi tanaman sarang semut dan keladi tikus dibandingkan dengan bentuk tunggalnya dalam menangkal radikal bebas metode DPPH (2,2-diphenyl-1-picrilhidrazyl). Metode penelitian adalah metode analitik ekperimental dengan tekhnik quota sampling. Uji aktivitas antioksidan menggunakan metode spektrofotometri UV-VIS (Spectrofotometer AES-80). Hasil penelitian menunjukkan bahwa kombinasi tanaman sarang semut dan keladi tikus 2:1 termasuk paling aktif dengan IC50 91,7234 ppm dan dikategorikan kuat. IC50 bentuk tunggal keladi tikus sebesar 369,2582 ppm termasuk kategori sangat lemah. Bentuk tunggal sarang semut sebesar 99,0533 ppm termasuk dalam kategori kuat. Kombinasi sarang semut dan keladi tikus
1:2 sebesar 262,4262 ppm termasuk dalam kategori sangat lemah. Aktivitas antioksidan kombinasi sarang semut dan keladi tikus lebih kuat pada fraksi butanol dibandingkan dengan bentuk tunggalnya. Kombinasi ekstrak sarang semut dan ekstrak keladi tikus 2:1 memiliki aktivitas antioksidan paling kuat.
Kata kunci: antioksidan, DPPH, keladi tikus, sarang semut, radikal bebas, quota sampling
ABSTRACT
The Sarang semut plants and keladi tikus use as a medicinal plant. Sarang semut plants contains tocopherol, phenolic and flavonoid. Keladi tikus contains alkaloids, saponins, steroids, glycosides and RIP (Ribosome Inacting Protein) are effective as an antioxidant and cancer healing. This study aims to find out the antioxidant activity of the combination of Sarang semut plant and Keladi tikus compared to the singular in counteracting free radical DPPH(2,2-diphenyl-1-picrilhidrazyl) method. The study used an experimental analytical method with quota sampling technique. Test of the antioxidant activity using UV-VIS spectrophotometry (Spectrophotometer AES-80). The results of research assigmed that combination Sarang semut plants and Keladi tikus 2:1 with with IC50 91,7234 ppm included in the strong category. IC50 singular Keladi tikus at 369,2582 ppm including very weak category. Singular Sarang semut of 99,0533 ppm is included in the strong category. The combination of Sarang semut plants and Keladi tikus 1:2 at 262,4262 ppm included in the category of very weak. The antioxidant activity of the combination of the two extracts is stonger on buthanol than of the singular extract. Combination extract sarang Semut and keladi tikus with ratio 2:1 has the highest antioxidant activity.
Keywords: antioxidant, DPPH, keladi tikus, sarang semut, free radical, quota samplin
Pengembangan Media Berbasis Aplikasi pada Handphone untuk Mendukung Pembelajaran Mata Kuliah Media Reagen dengan Model Problem Based Learning Dipadu Pendekatan Bless
No full textTujuan penelitian ini untuk mengetahui hasil dari tiap tahap pengembangan, kualitas dari aspek desain/ materi dan aspek media serta keefektifan media berbasis aplikasi pada handphone yang dikembangkan untuk mendukung pembelajaran mata kuliah media reagen dengan model Problem Based Learning dipadu pendekatan BLESS (Blended Learning Systems Structures) mahasiswa DIII Akademi Analis Kesehatan Nasional Surakarta. Penelitian ini merupakan penelitian dan pengembangan (R&D) yang mengacu pada model Borg & Gall dilaksanakan dari bulan Januari 2014 hingga Maret 2015 di Akademi Analis Kesehatan Nasional Surakarta. Data diambil dengan teknik angket, teknik observasi, dan teknik tes. Berdasarkan hasil analisis data, dapat disimpulkan: 1) hasil tiap tahap penelitian dan pengembangan pada: tahap studi pendahuluan disimpulkan bahwa dibutuhkan media berupa aplikasi pada handphone untuk mendukung pembelajaran mata kuliah Media Reagen dengan model PBL dipadu pendekatan BLESS (Blended Learning Systems Structure); tahap pengembangan produk awal dihasilkan draft aplikasi pada handphone yaitu LEMMPER (Learning Media Mobile Program Enriched & Refined); tahap uji coba awal dihasilkan revisi 1; tahap uji coba lapangan dihasilkan revisi 2, data keterlaksanaan tahapan problem based learning, dan hasil belajar mahasiswa; tahap uji coba operasional dihasilkan produk akhir, 2) kualitas produk pengembangan media berdasarkan penilaian ahli materi dan ahli media diperoleh CV > 0,7 yang menunjukkan bahwa media dapat dilanjutkan ke tahap uji coba; rata-rata angket respon dosen dan mahasiswa pada semua uji diperoleh penilaian dengan kategori “sangat layak”. 3) media dikatakan efektif dillihat dari persentase ketuntasan hasil belajar mahasiswa pada pembelajaran mata kuliah media reagen dengan model PBL dipadu pendekatan BLESS mahasiswa reguler 2C yang didukung dengan media LEMMPER. Hasil presentase ketuntasan klasikal yaitu 100 %, sehingga media dikatakan efektif
Tools for quantitative comparison of preservation strategies
No full textThis report describes the tools developed by IT Innovation for quantitative comparison of preservation strategies. The tools have been open sourced and are publicly available on a website which includes documentation and features for bug reporting and new functionality requests
Technological change and regional restructuring in Boston's route 128 area
No full textDuring the 1980s and early 1990s, the importance of small firm growth and industrial districts in Italy became the focus of a large number of regional development studies. According to this literature, successful industrial districts are characterized by intensive cooperation and market producer-user interaction between small and medium-sized, flexibly specialized firms (Piore and Sabel, 1984; Scott, 1988). In addition, specialized local labor markets develop which are complemented by a variety of supportive institutions and a tradition of collaboration based on trust relations (Amin and Robins, 1990; Amin and Thrift, 1995). It has also been emphasized that industrial districts are deeply embedded into the socio-institutional structures within their particular regions (Grabher, 1993). Many case studies have attempted to find evidence that the regional patterns identified in Italy are a reflection of a general trend in industrial development rather than just being historical exceptions. Silicon Valley, which is focused on high technology production, has been identified as being one such production complex similar to those in Italy (see, for instance, Hayter, 1997). However, some remarkable differences do exist in the institutional context of this region, as well as its particular social division of labor (Markusen, 1996). Even though critics, such as Amin and Robins (1990), emphasized quite early that the Italian experience could not easily be applied to other socio-cultural settings, many studies have classified other high technology regions in the U.S. as being industrial districts, such as Boston s Route 128 area. Too much attention has been paid to the performance of small and medium-sized firms and the regional level of industrial production in the ill-fated debate regarding industrial districts (Martinelli and Schoenberger, 1991). Harrison (1997) has provided substantial evidence that large firms continue to dominate the global economy. This does not, however, imply that a de-territorialization of economic growth is necessarily taking place as globalization tendencies continue (Storper, 1997; Maskell and Malmberg, 1998). In the case of Boston, it has been misleading to define its regional economy as being an industrial district. Neither have small and medium-sized firms been decisive in the development of the Route 128 area nor has the region developed a tradition of close communication between vertically-disintegrated firms (Dorfman, 1983; Bathelt, 1991a). Saxenian (1994) found that Boston s economy contrasted sharply with that of an industrial district. Specifically, the region has been dominated by large, vertically-integrated high technology firms which are reliant on proprietary technologies and autarkic firm structures. Several studies have tried to compare the development of the Route 128 region to Silicon Valley. These studies have shown that both regions developed into major 2 agglomerations of high technology industries in the post-World War II period. Due to their different traditions, structures and practices, Silicon Valley and Route 128 have followed divergent development paths which have resulted in a different regional specialization (Dorfman, 1983; Saxenian, 1985; Kenney and von Burg, 1999). In the mid 1970s, both regions were almost equally important in terms of the size of their high technology sectors. Since then, however, Silicon Valley has become more important and has now the largest agglomeration of leading-edge technologies in the U.S. (Saxenian, 1994). Saxenian (1994) argues that the superior performance of high technology industries in Silicon Valley over those in Boston is based on different organizational patterns and manufacturing cultures which are embedded in those socio-institutional traditions which are particular to each region. Despite the fact that Saxenian (1994) has been criticized for basing her conclusions on weak empirical research (i.e. Harrison, 1997; Markusen, 1998), she offers a convincing explanation as to why the development paths of both regions have differed.1 Saxenian s (1994) study does not, however, identify which structures and processes have enabled both regions to overcome economic crises. In the case of the Boston economy, high technology industries have proven that they are capable of readjusting and rejuvenating their product and process structures in such a way that further innovation and growth is stimulated. This is also exemplified by the region s recent economic development. In the late 1980s, Boston experienced an economic decline when the minicomputer industry lost its competitive basis and defense expenditures were drastically reduced. The number of high technology manufacturing jobs decreased by more than 45,000 between 1987 and 1995. By the mid 1990s, however, the regional economy began to recover. The rapidly growing software sector compensated for some of the losses experienced in manufacturing. In this paper, I aim to identify the forces behind this economic recovery. I will investigate whether high technology firms have uncovered new ways to overcome the crisis and the extent to which they have given up their focus on self-reliance and autarkic structures. The empirical findings will also be discussed in the context of the recent debate about the importance of regional competence and collective learning (Storper, 1997; Maskell and Malmberg, 1998). There is a growing body of literature which suggests that some regional economies During the 1980s and early 1990s, the importance of small firm growth and industrial districts in Italy became the focus of a large number of regional development studies. According to this literature, successful industrial districts are characterized by intensive cooperation and market producer-user interaction between small and medium-sized, flexibly specialized firms (Piore and Sabel, 1984; Scott, 1988). In addition, specialized local labor markets develop which are complemented by a variety of supportive institutions and a tradition of collaboration based on trust relations (Amin and Robins, 1990; Amin and Thrift, 1995). It has also been emphasized that industrial districts are deeply embedded into the socio-institutional structures within their particular regions (Grabher, 1993). Many case studies have attempted to find evidence that the regional patterns identified in Italy are a reflection of a general trend in industrial development rather than just being historical exceptions. Silicon Valley, which is focused on high technology production, has been identified as being one such production complex similar to those in Italy (see, for instance, Hayter, 1997). However, some remarkable differences do exist in the institutional context of this region, as well as its particular social division of labor (Markusen, 1996). Even though critics, such as Amin and Robins (1990), emphasized quite early that the Italian experience could not easily be applied to other socio-cultural settings, many studies have classified other high technology regions in the U.S. as being industrial districts, such as Boston s Route 128 area. Too much attention has been paid to the performance of small and medium-sized firms and the regional level of industrial production in the ill-fated debate regarding industrial districts (Martinelli and Schoenberger, 1991). Harrison (1997) has provided substantial evidence that large firms continue to dominate the global economy. This does not, however, imply that a de-territorialization of economic growth is necessarily taking place as globalization tendencies continue (Storper, 1997; Maskell and Malmberg, 1998). In the case of Boston, it has been misleading to define its regional economy as being an industrial district. Neither have small and medium-sized firms been decisive in the development of the Route 128 area nor has the region developed a tradition of close communication between vertically-disintegrated firms (Dorfman, 1983; Bathelt, 1991a). Saxenian (1994) found that Boston s economy contrasted sharply with that of an industrial district. Specifically, the region has been dominated by large, vertically-integrated high technology firms which are reliant on proprietary technologies and autarkic firm structures. Several studies have tried to compare the development of the Route 128 region to Silicon Valley. These studies have shown that both regions developed into major 2 agglomerations of high technology industries in the post-World War II period. Due to their different traditions, structures and practices, Silicon Valley and Route 128 have followed divergent development paths which have resulted in a different regional specialization (Dorfman, 1983; Saxenian, 1985; Kenney and von Burg, 1999). In the mid 1970s, both regions were almost equally important in terms of the size of their high technology sectors. Since then, however, Silicon Valley has become more important and has now the largest agglomeration of leading-edge technologies in the U.S. (Saxenian, 1994). Saxenian (1994) argues that the superior performance of high technology industries in Silicon Valley over those in Boston is based on different organizational patterns and manufacturing cultures which are embedded in those socio-institutional traditions which are particular to each region. Despite the fact that Saxenian (1994) has been criticized for basing her conclusions on weak empirical research (i.e. Harrison, 1997; Markusen, 1998), she offers a convincing explanation as to why the development paths of both regions have differed.1 Saxenian s (1994) study does not, however, identify which structures and processes have enabled both regions to overcome economic crises. In the case of the Boston economy, high technology industries have proven that they are capable of readjusting and rejuvenating their product and process structures in such a way that further innovation and growth is stimulated. This is also exemplified by the region s recent economic development. In the late 1980s, Boston experienced an economic decline when the minicomputer industry lost its competitive basis and defense expenditures were drastically reduced. The number of high technology manufacturing jobs decreased by more than 45,000 between 1987 and 1995. By the mid 1990s, however, the regional economy began to recover. The rapidly growing software sector compensated for some of the losses experienced in manufacturing. In this paper, I aim to identify the forces behind this economic recovery. I will investigate whether high technology firms have uncovered new ways to overcome the crisis and the extent to which they have given up their focus on self-reliance and autarkic structures. The empirical findings will also be discussed in the context of the recent debate about the importance of regional competence and collective learning (Storper, 1997; Maskell and Malmberg, 1998). There is a growing body of literature which suggests that some regional economies an develop into learning economies which are based on intra-regional production linkages, interactive technological learning processes, flexibility and proximity (Storper, 1992; Lundvall and Johnson, 1994; Gregersen and Johnson, 1997). In the next section of this paper, I will discuss some of the theoretical issues regarding localized learning processes, learning economies and learning regions (see, also, Bathelt, 1999). I will then describe the methodology used. What follows is a brief overview of how Boston s economy has specialized in high technology production. The main part of the paper will then focus on recent trends in Boston s high technology industries. It will be shown that the high technology economy consists of different subsectors which are not tied to a single technological development path. The various subsectors are, at least partially, dependent on different forces and unrelated processes. There is, however, tentative evidence which suggests that cooperative behavior and collective learning in supplierproducer- user relations have become important factors in securing reproductivity in the regional structure. The importance of these trends will be discussed in the conclusions
Kelayakan Finansial Pengembangan Terminal Penumpang Bandar Udara Internasional Husein Sastranegara
Get PDFHusein Sastranegara International Airport is one of the gates for economic sector for West Java Province. The number of passengers in 2013 had reached 2,657,984 passengers and it has exceeded the capacity of existing passenger terminal which can only accommodate 750,000 passengers per year. Passenger terminal is expanded up to 17,000 m2 with capacity of 3,400,000 passengers per year. The investment value of this project was estimated to be Rp 126,505,457,542.00. In this study the financial feasibility analysis is calculated by Net Present Value, Internal Rate Return, and Benefit Cost Ratio Methods. This study shows that this passenger terminal project have a positive net present value, internal rate return is greater than minimum attractive rate of return, and benefit cost ratio is greater than 1 meaning that the development of the passenger terminal is financially feasible
Evaluasi on TIME Performance Pesawat Udara Di Bandar Udara Husein Sastranegara Menggunakan Aplikasi Flightradar24
Get PDFOn time performance is a situation when the time of departure and arrival time of aircraft in accordance with a predetermined. On time performance is important because an aircraft has a value when the aircraft is in the air. This study tried to investigate the on time performance of domestic flights served by the Lion Air airline at Husein Sastranegara Airport, in Bandung. Aircraft actual data were obtained using flightradar24 application program while the aircraft daily flight schedules were given by PT Angkasa Pura II, the airport operator. The evaluation was performed on the aircraft time performance data of February 2015. The results showed that the average delay in the arrival of the aircraft is 44.31 minutes with a standard deviation of 44.54 minutes and the average departure delay in that month is 42.37 minutes with a standard deviation of 37.40 minutes. It can be concluded from this study that the Lion Air flight services at Husein Sastranegara Airport, Bandung, in February 2015 were not on time
Internasionalisasi Data Kecelakaan Lalulintas Jalan Di Indonesia
Get PDFWithout significant efforts to reduce the number of accidents which causes deaths, the fatal accidents in traffic road, will follow the prediction of WHO (1999) becoming “the third biggest disease” after ischaemic heart disease and unipolar major depression in 20 years period ahead until year 2020. Since the record system of road traffic accidents in Indonesia is not as same as the record system of International traffic accident, then the data of road traffic accident in Indonesia has to be converted. Based on the results of a simple study in Bandung, these review used conversion factor of 1.25 to convert data of fatal accident in Indonesia. By using this conversion factor, it is found that the number of road accident fatalities in Indonesia is 36,000 persons per year, with the rate of accident is 33 persons per 10,000 vehicles
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