Netnography : Gojek Marketing Strategy Analysis Through YouTube Social Media.

PT Aplikasi Karya Anak Bangsa or Gojek is an online transportation service company that was founded in 2010.The research objective is to analyze and describe Gojek's marketing strategy through YouTube social media. This research uses a qualitative approach, with analysis using netnographic studies. The research subjects are 20 netizens who commented on Gojek's Indonesian Youtube account related to the video marketing advertising Gojek. The results showed that Gojek's marketing strategy made use of the internet as a means to promote the services offered. The promotion process is very intensively carried out by the Gojek Company, one of which is through social media. With the sophistication of advertising done through media social, users will automatically be treated to various promotions from the CompanyGojek when opening its social media pages. This strategy is very appropriate because almost the entire process of purchasing a Gojek service is done ina smartphone application, this means that the potential consumers targeted are in accordance with the ad audience that is installed. The conclusion in this study is the implementation of marketing 7P on online Gojek services which include: product, price, place, people, process, and physical evidence has been implemented well

Pectin derived from hydrolysis of ripe Kepok Kuning banana peel powder employing crude pectinases produced by Aspergillus niger

Banana fruits consumption generates about 35% weight of peel waste containing approximately 10.61 to 24 w/w% of pectin. Hence, improper banana peel waste management may induce various environmental and health issues. The objectives of this work were to study the effect of substrate concentration, pH, temperature, and duration on the yield of pectin extracted from enzymatic hydrolysis of banana peel powder. In this work, the crude enzymes were obtained via submerged fermentation of Kepok Kuning banana peel powder utilising Aspergillus niger and directly used without prior purification. Pectin extraction from banana peel powder was performed through hydrolysis using crude pectinases at various substrate concentrations (0.033 to 0.123 g/mL), pH (4.0 to 6.0), and temperature (40 to 70°C) for 180 min. The increase of extraction parameters enhanced the pectin yield to a maximum value and then declined. High substrate concentration, temperature, pH, and monomeric pectin compounds formation at long hydrolysis duration were found to reduce enzyme activity. A recommended extraction condition is using 0.103 g/mL substrate concentration, pH 5.0, and 55 °C for 120 min to achieve 10.80% weight yield. Commercial implementations of the results can be worthwhile in solving the environmental problem and enhance the economic value of pectin-rich fruit peels and other agricultural wastes

Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy

Performing long-term cell observations is a non-trivial task for conventional optical microscopy, since it is usually not compatible with environments of an incubator and its temperature and humidity requirements. Lensless holographic microscopy, being entirely based on semiconductor chips without lenses and without any moving parts, has proven to be a very interesting alternative to conventional microscopy. Here, we report on the integration of a computational parfocal feature, which operates based on wave propagation distribution analysis, to perform a fast autofocusing process. This unique non-mechanical focusing approach was implemented to keep the imaged object staying in-focus during continuous long-term and real-time recordings. A light-emitting diode (LED) combined with pinhole setup was used to realize a point light source, leading to a resolution down to 2.76 μm. Our approach delivers not only in-focus sharp images of dynamic cells, but also three-dimensional (3D) information on their (x, y, z)-positions. System reliability tests were conducted inside a sealed incubator to monitor cultures of three different biological living cells (i.e., MIN6, neuroblastoma (SH-SY5Y), and Prorocentrum minimum). Altogether, this autofocusing framework enables new opportunities for highly integrated microscopic imaging and dynamic tracking of moving objects in harsh environments with large sample areas

Continuous Live-Cell Culture Imaging and Single-Cell Tracking by Computational Lensfree LED Microscopy

Continuous cell culture monitoring as a way of investigating growth, proliferation, and kinetics of biological experiments is in high demand. However, commercially available solutions are typically expensive and large in size. Digital inline-holographic microscopes (DIHM) can provide a cost-effective alternative to conventional microscopes, bridging the gap towards live-cell culture imaging. In this work, a DIHM is built from inexpensive components and applied to different cell cultures. The images are reconstructed by computational methods and the data are analyzed with particle detection and tracking methods. Counting of cells as well as movement tracking of living cells is demonstrated, showing the feasibility of using a field-portable DIHM for basic cell culture investigation and bringing about the potential to deeply understand cell motility

Karakteristik Jalur Hijau di Kawasan Sempadan Rel Kereta Api Kota Malang

ABSTRAK   Sari, Shinta Ayu Mariana. 2013. Karakteristik Jalur Hijau di Kawasan Sempadan Rel Kereta Api Kota Malang. Skripsi, Jurusan Geografi FIS Universitas Negeri Malang. Pembimbing: (I) Prof. Dr. Sumarmi, M. Pd, (II) Satti Wagistina, S. P., M. Si.   Kata Kunci: jalur hijau, sempadan rel kereta api   Jalur hijau merupakan salah satu bentuk dari Ruang Terbuka Hijau, yang fungsi utamanya adalah untuk pengamanan. Salah satu bentuk jalur hijau terdapat di sempadan rel kereta api. Berdasarkan UU No. 13/1992 tentang Perkeretaapian dijelaskan bahwa kawasan selebar 23 meter dari poros rel merupakan daerah lindung. Kawasan lindung dapat berupa jalur hijau dan lahan untuk perlengkapan kereta api. Pada kenyataannya, kawasan ini banyak digunakan sebagai kawasan terbangun, khusunya permukiman. Penelitian ini merupakan jenis penelitian deskriptif dengan menggunakan teknik survey. Tujuan dari penelitian ini untuk mengetahui karakteristik jalur hijau di kawasan sempadan rel kereta api Kota Malang. Objek penelitian ini adalah semua yang berada pada kawasan sempadan rel kereta api. Pengambilan sampel area menggunakan teknik purposive sampling. Purposive sampling ditentukan berdasarkan letak wilayah pada dua zona, yakni zona pertama dari Stasiun Kotalama hingga Stasiun Kotabaru dan zona kedua dari Stasiun Kotabaru hingga Stasiun Blimbing. Penentuan sampel responden menggunakan teknik quota sampling. Penelitian ini menggunakan rumus persentase untuk analisis data. Hasil penelitian menunjukkan bahwa pada zona pertama mayoritas bentuk ketidaksesuaiannya adalah berupa kawasan permukiman dengan sempitnya taman yang dimiliki dan tidak banyak jumlah tanaman yang ada. Mayoritas hanya berupa tanaman pot dan beberapa tanaman perdu dengan lebar tajuk kurang dari 2 meter. Peran serta masyarakat rendah karena tidak banyak yang melakukan perawatan tanaman, hanya sebatas menyirami dan membersihkan saja. Tanaman yang banyak ditemukan adalah yang dapat dimanfaatkan dalam kehidupan sehari-hari. Di zona kedua lebih bervariasi, tidak semua digunakan sebagai kawasan permukiman, ada yang berupa jalur hijau. Jumlah dan jenis tanaman lebih banyak ditemui, mulai dari lebar tajuk kurang dari 2 meter sampai lebih dari 5 meter. Cukup banyak masyarakat disini yang menggunakan jasa tukang taman untuk merawat taman rumah yang rata-rata cukup luas, sehingga cukup bersih dan terawat. Namun pada zona ini tidak begitu banyak tanaman yang dapat dimanfaatkan untuk kehidupan sehari-hari. Saran yang dapat diberikan kepada masyarakat adalah agar menambah jumlah tanaman yang ada, minimal dalam bentuk tanaman perdu. Selain itu, agar masyarakat tidak membuat kawasan terbangun di area tersebut. Kepada pihak di tingkat RT maupun RW untuk sering mengadakan kegiatan kerja bakti dan penghijauan lingkungan. Kepada peneliti selanjutnya supaya dapat melakukan kajian lebih detail terhadap penelitian sejenis, sehingga dapat menjadi pelengkap dari penelitian ini.

Artificial Neural Networks for Automated Cell Quantification in Lensless LED Imaging Systems

Cell registration by artificial neural networks (ANNs) in combination with principal component analysis (PCA) has been demonstrated for cell images acquired by light emitting diode (LED)-based compact holographic microscopy. In this approach, principal component analysis was used to find the feature values from cells and background, which would be subsequently employed as neural inputs into the artificial neural networks. Image datasets were acquired from multiple cell cultures using a lensless microscope, where the reference data was generated by a manually analyzed recording. To evaluate the developed automatic cell counter, the trained system was assessed on different data sets to detect immortalized mouse astrocytes, exhibiting a detection accuracy of ~81% compared with manual analysis. The results show that the feature values from principal component analysis and feature learning by artificial neural networks are able to provide an automatic approach on the cell detection and registration in lensless holographic imaging

Fabrication of SiO₂ microcantilever arrays for mechanical loss measurements

International audienceThe sensitivity of high-precision measurements is crucially affected by the mechanical losses of the involved materials. In systems incorporating highly reflective elements based on amorphous Bragg reflectors, the mechanical losses of the coating materials have to be minimized. In this contribution, we report on the detailed fabrication of SiO2 microcantilever arrays to study such mechanical losses. The fabrication steps, consisting of pattern transfer, anisotropic and isotropic dry etching, have been optimized to be employed on both thermally grown and sputtered SiO2 samples. The cantilevers released from the Si substrate show a deviation of only 2% from the design, confirming a high selectivity of the etching processes. The mechanical loss measurements of the cantilevers are carried out using a laser-based optical setup, revealing a mechanical loss of 1.2 × 10−3

Vertical 3D GaN Nanoarchitectures towards an Integrated Optoelectronic Biosensing Platform in Microbial Fuel Cells

An integrated nano-optoelectronic biological sensor system is developed to obtain insights of the biochemical and physical processes of Geobacter sulfurreducens-based biofilm growth inside a miniaturized microbial fuel cell (MFC) reactor. Gallium nitride (GaN), which was used as a novel electrode material, has been investigated in terms of its biocompatibility and performance to transport the electrons delivered by the microorganisms. Moreover, in order to enhance the produced current density, vertical 3D GaN nanoarchitectures (i.e., arrays of nanowires and nanofins) with larger surface-to-volume ratios were fabricated using a top-down nanomachining method involving nanolithography and hybrid etching technique