78 research outputs found
PENGUATAN NILAI KARAKTER ANTI KORUPSI MELALUI IMPLEMENTASI ELECTRONIC CAFE (E-CAFE) BHAWIKARSU DI SMA NEGERI 3 MALANG
No full textABSTRAKIlham, Choiri. 2019. Penguatan Nilai Karakter Anti Korupsi Melalui Implementasi Electronic Café (E-Café) Bhawikarsu di SMA Negeri 3 Malang. Skripsi, Program Studi Pendidikan Pancasila dan Kewarganegaraan, Jurusan Hukum dan Kewarganegaraaan, Fakultas Ilmu Sosial, Universitas Negeri Malang. Pembimbing: (1) Drs. H. Suparman AW, S. H. M.Hum (2) Dr. Nuruddin Hady, S.H, M.H.Kata Kunci: Electronic Café (E-Café) Bhawikarsu, Nilai Karakter Anti Korupsi, SMA Negeri 3 MalangElectronic Café (E-Café) Bhawikarsu adalah pengembangan program kantin kejujuran yang berasal dari Kementerian Pendidikan Nasional yang bekerja sama dengan komisi pemberantasan korupsi (KPK) dalam upaya untuk menanamkan sekaligus menguatkan nilai karakter anti korupsi. Electronic Café (E-Café) Bhawikarsu ini memuat konsep pendidikan nilai yang menekankan pada pembiasaan karakter anti korupsi pada peserta didik. Usaha yang dilakukan untuk menanamkan nilai tersebut, dapat dikembangkan dalam ranah pendidikan khususnya sekolah. Sekolah memerlukan pengelolaan yan baik agar peserta didik menjadi bermutu dan berkarakter.Penelitian ini dilaksanakan dengan tujuan untuk (1) mengetahui latar belakang berdirinya electronic café (e-café) bhawikarsu di SMA negeri 3 Malang dilihat dari penguatan karakter anti korupsi, (2) mengetahui operasional electronic café (e-café) bhawikarsu di SMA negeri 3 Malang yang dapat mendukung pembentukan karakter anti korupsi, (3) mengetahui penguatan nilai karakter anti korupsi melalui implementasi electronic café (e-café) bhawikarsu di SMA negeri 3 Malang, (4) mengetahui hambatan dan solusi sekolah dalam penguatan nilai karakter anti korupsi melalui implementasi electronic café (e-café) bhawikarsu di SMA negeri 3 Malang.Penelitian ini menggunakan pendekatan penelitian kualitatif yang bersifat deskriptif. Prosedur yang dilakukan untuk mengumpulkan data adalah dengan teknik observasi, teknik wawancara, dan dokumentasi. Instrumen yang digunakan untuk mengumpulan data berupa instrument manusia, yaitu peneliti sendiri. Kegiatan analisis data dimulai dari reduksi data, penyajian data, dan menarik kesimpulan. Untuk menjaga keabsahan data dilakukan uji kredibilitas dengan peningkatan ketekunan dalam penelitian dan triangulasi. Pemilihan lokasi SMAN 3 Malang sebagai tempat penelitian adalah berdasarkan pertimbangan adanya Electronic Café (E-Café) Bhawikarsu yang dijadikan sebagai program unggulan sekolah. Temuan penelitian dalam penelitian ini menghasilkan empat pembahasan , yaitu (1) latar belakang terbentuknya electronic café (e-café) bhawikarsu di SMA negeri 3 Malang ini awalnya adalah pengembangan program dari Kementerian Pendidikan Nasional yang bekerja sama dengan komisi pemberantasan korupsi (KPK) dan sebagai media pembelajaran pendidikan karakter, (2) operasional dan pelaksanaan electronic café (e-café) bhawikarsu sebagai penguatan nilai karakter anti korupsi siswa di SMAN 3 Malang ini dikelola sepenuhnya oleh pihak sekolah, (3) Nilai-nilai yang terkandung dalam pelaksanaan electronic café (E-Café) bhawikarsu diantaranya adalah nilai kejujuran, nilai kedisiplinan, nilai bertanggungjawab dan nilai kemandirian,(4) hambatan pelaksanaan electronic café (E-Café) bhawikarsu adalah perubahan konsep electronic café (E-Café) bhawikarsu yang menyesuaikan dengan kebutuhan sekolah, adanya gangguan oleh sistem dan kelistrikan serta sistem electronic café (E-Café) bhawikarsu belum mampu mengantisipasi kecurangan. Solusi atas hambatan yang telah dihadapi tersebut adalah melakukan evaluasi pelaksanaan program electronic café (E-Café) bhawikarsu dan menjalankan tata tertib serta peraturan yang ada di electronic café (E-Café) bhawikarsu di SMAN 3 Malang.Saran yang dapat peneliti berikan dalam penelitian ini adalah pihak sekolah harus terus mendukung pelaksanaan electronic café (E-Café) bhawikarsu untuk tetap ada dan terus berkembang. Memberikan pengarahan serta motivasi kepada peserta didik, untuk berbuat dan bersikap sesuai dengan nilai karakter anti korupsi. Pembiasaan bersikap jujur, disiplin, bertanggungjawab dan mandiri, yang dilakukan secara terus-menerus kedepanya akan berdampak positif dan bermanfaat, tidak hanya untuk lingkungan sekolah tertapi bermanfaat untuk lingkungan keluarga dan lingkungan masyarakat
PENGUATAN NILAI KARAKTER ANTI KORUPSI MELALUI IMPLEMENTASI ELECTRONIC CAFÉ (E-CAFÉ) BHAWIKARSU DI SMA NEGERI 3 MALANG
No full textElectronic Café (E-Café) Bhawikarsu adalah pengembangan program kantin kejujuran yang berasal dari Kementerian Pendidikan Nasional yang bekerja sama dengan komisi pemberantasan korupsi (KPK) dalam upaya untuk menanamkan sekaligus menguatkan nilai karakter anti korupsi. Electronic Café (E-Café) Bhawikarsu ini memuat konsep pendidikan nilai yang menekankan pada pembiasaan karakter anti korupsi pada peserta didik. Usaha yang dilakukan untuk menanamkan nilai tersebut, dapat dikembangkan dalam ranah pendidikan khususnya sekolah. Sekolah memerlukan pengelolaan yan baik agar peserta didik menjadi bermutu dan berkarakter
THE INFLUENCE OF MAGNESIUM STEARATE, PURIFIED TALC AND COMBINATION OF BOTH ON TERNARY/QUATERNARY INTERACTIVE MIXTURE OF FREELY AND POORLY WATER-SOLUBLE DRUG
Full text linkObjective: This research purposed to describe and evaluate the influence of magnesium stearate (MgSt), purified talc (talc) and combination of both (MgSt-PT) on ternary/quaternary mixture of freely and poorly water-soluble drug.Methods: Chlorpheniramine maleate (CPM) and prednisone (PDN) were used as the drug model of freely and poorly water-soluble drug, respectively. Compatibility studies between drugs and lubricants were carried out using Fourier transform infrared spectroscopy (FTIR). Ternary/quaternary interactive mixture of drugs, lubricants and carriers were conducted using granules of lactose-starch (1:1) as carriers with particle size 250 – 425 µm. Characterizations were conducted by homogeneity of mixture, physical properties of granules and tablets and drug releases. The results were analyzed statistically using one-way analysis of variance (ANOVA) with 95% of confidence interval level and dependent method for drug release.Results: Homogeneity of binary mixture within drug and carrier was achieved in 60 minutes with 20 revolutions per minute. MgSt, talc and combination of both provided stable ternary/quaternary interactive mixture. MgSt affected the reduction of compactibility, prolong the disintegration time, retardation the drug release and talc improved flowability.Conclusion: Talc provided more preferable effects than MgSt, and combination of both lubricants showed desirable physical properties of tablet. MgSt, talc and combination of both provided no significant effect on physical properties and drug release of CPM as freely water-soluble drug and the significant effect was observed on PDN as poorly water-soluble drug
Quantifying and Predicting Urban Attractiveness with Street-View Data and Convolutional Neural Networks
No full textAnalysing attractiveness of places in a region is beneficial to support urban planning and policy making. However, the attractiveness of a place is a subjective and high-level concept which is difficult to quantify. The existing methods rely on traditional surveys which may require high cost and have low scalability. This thesis attempts to quantify attractiveness of a place in a more efficient way and develop a model which can automatically predict attractiveness based on Street-View data (i.e. from Google Street View).As a study case, 800 Google Street View images from 200 locations in Amsterdam have been extracted, and their attractiveness perceptions have been evaluated via crowd-sourcing to get the ground-truth information. The other attributes which are presumed to have a relationship with attractiveness are also assessed, such as familiarity, uniqueness, friendliness, pleasure, arousal, and dominance. The research and analysis revealed several insights related to the attractiveness of places. Attractive perception when seeing a place is positively correlated with perception of uniqueness, friendliness, pleasure, and dominance. Moreover, pleasure is possibly multi-collinear with attractiveness. It was also found that attractiveness perception has low spatial auto-correlation, which means that nearby places do not necessarily have similar attractiveness. Some visual features related to attractiveness were also investigated. The result indicated that scenes related to roads and residential buildings are less attractive, meanwhile, scenes related to greenery, blue sky, and water environment are more attractive.A Convolutional Neural Network (CNN) model has been developed via machine learning approach which could automatically predict attractiveness perception of a place based on its representing Google Street View image. The developed model achieved 55.9% accuracy and RMSE of 0.70 to predict attractiveness in 5 ordinal values
Rational Design and Development of a Soluble Mesoporous Carrier for the Solidification of a Preconcentrated Self-Nanoemulsion Formulation
No full textThe solidification of self-preconcentrated nanoemulsion
without
changes in nanodroplet formation gains particular consideration due
to the interaction between solidified carriers. This work aimed to
develop mannitol mesoporous as a soluble carrier for supersaturated
self-nanoemulsion (SSNE) using a design of experiment (DoE) approach.
The mesoporous carrier was prepared by a spray-drying technique. The
type of templating agent (TA) used to form a porous system, the amount
of TA, and solid loading in the spray-drying process were studied.
Several characterizations were performed for mannitol mesoporous formation,
namely, powder X-ray diffraction, thermal analysis, scanning electron
microscopy, and surface area analyzer. Solidification of SSNE incorporated
into the mesoporous mannitol was carried out, followed by compaction
behavior, flowability, and nanodroplet formation. The results revealed
several process parameters for preparing the mesoporous mannitol,
notably TA, which gained more significant consideration. Solid loading
in the mesoporous preparation system reduced the surface area and
pore size and did not affect solid SSNE flowability. The amount of
TA increased the pore size and volume dramatically as well as the
compactibility and flowability. Ammonium carbonate was the preferable
TA for preparing the mesoporous carrier, particularly for the nanodroplet
formulation process. In addition, synergistic and antagonistic interactions
between factors were also observed. The optimized mesoporous carrier
was applied for solidification, and there was no difference between
SSNE and solid SSNE in the performance of nanodroplet formation
PERBANDINGAN ANALISIS KELAYAKAN INVESTASI ANTARA REKONDISI BUS LAMA DAN PEMBELIAN BUS BARU DI PO. BAGONG
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Elimination of the Ultraviolet Spectrophotometric-Based Limitation on the Quantification of Metformin HCl in Acid-Stage Medium for a Comparative Dissolution Testing
Full text linkHerein, this work aimed to develop an ultraviolet spectrophotometric assay for metformin HCl in comparative dissolution testing along with the acid stage medium due to low molar absorptivity. Metformin HCl was incorporated into the immediate tablet formulation to mimic the analytical matrix system. The dissolution validation procedure was carried out by linearity, accuracy, precision, the limit of quantification, filter compatibility, and aliquot stability that fulfil the USP method for validation of dissolution procedure, particularly assay of the analyte.The results revealed that metformin HCl had difficulty quantifying in acid pH due to the absence UV-band peak. The addition of pH-shifting agents promoted better performance for metformin quantification. Therefore, the method was successfully developed along with R2, predicted R2, accuracy, and precision of 0.9999, 0,9998, 100.57%, and 1.27%, respectively. In addition, it had the minimum placebo interference (0.47%) and was stable for long-term storage under determined conditions
A Convolutional Neural Network-Based Model for Predicting The Perceived Attractiveness of Urban Places
No full textAn understanding of how people perceive attractive or unattractive places in cities is vitally important to urban planning and policy making. Given the subjective nature of human perception and the ambiguous character of attractiveness as an attribute of urban places, it is challenging to quantify and reliably assess the extent to which a place is perceived as attractive or not. It is even more difficult to do this at scale. This research proposes a novel machine learning approach to quantifying and predicting the perceived attractiveness of urban places. It introduces a predictive model, employing a Convolutional Neural Network (CNN), to automatically estimate the attractiveness of places in cities, based on their Google Street View representation. A set of street-level images (four consecutive images make up the panoramic overview of each place) with similar daylight conditions and level of complexity (e.g. amount of people present in a scene) is assessed by means of crowdsourcing, drawing on attractiveness-related factors identified in environmental psychology studies. Using these judgments as ground truth, in combination with a new CNN architecture, the model automatically assesses the perceived attractiveness of any place in a city, by rating them on the basis of a five-point Likert scale score. Moreover, it identifies features of the urban environment that could influence positively or negatively the overall attractiveness of a place. The resulting accuracy of 55.9% and root-mean-square error of 0.70 illustrate that the model holds promise as a scalable and reliable tool for estimating the perceived attractiveness of urban places.Web Information System
PERANCANGAN ULANG TATA LETAK FASILITAS DENGAN MENGGUNAKAN ALGORITMA CRAFT DAN ALGORITMA CORELAP UNTUK MEMINIMASI PENGGUNAAN MATERIAL HANDLING
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UPAYA PENGURANGAN DEFECT PADA KAIN JENIS M4870 DENGAN MENGGUNAKAN METODE SIX SIGMA (PT. Mermaid Textile Industry Indonesia)
No full textJika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email [email protected], [email protected], [email protected] Terima kasi
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