13 research outputs found
Disrupsi Kamera Digital terhadap Pencatatan Informasi Pemustaka di UPT Perpustakaan ISI Surakarta
Full text linkDigital cameras have become more and more privately owned technological devices. Especially for millennials, as the library user at UPT Perpustakaan ISI Surakarta. For those born in early 2000 or so-called millennial generation digital cameras are important devices to facilitate daily activities. Mainly triggered by the innovation of digital cameras integrated in cellular phones. This tendency becomes interesting to be examined further. Using descriptive research methods, while the study population is user UPT Perpustakaan ISI Surakarta with a total sample of 144 respondents. The results showed a grand mean of 3.734 which is in the scale range of 3.40 - 4.20 which means it has a high level. Instrument reliability in the form of alpha coefficients is 0.981> 0.60 r table which means reliable. The conclusions of the study are 1) Ownership of digital cameras in the majority of users is to have a smartphone / cellphone camera only. 2) Utilization of digital cameras by users generally to photograph supporting supporting information (author, title, publisher, year of publication, book cover, keywords, table of contents, bibliography, abbreviations or symbols) as a way to record it. 3) Disruption of digital cameras to the recording of information by users, mainly because of the reason to record information with a digital camera becomes faster
Pembangkitan Caption Pada Citra Lingkungan Lalu Lintas Perkotaan Berbasis Object Relation Transformer Dan Beam Search Size 2
No full textPeningkatan kecelakaan lalu lintas di Indonesia mendorong pengembangan teknologi yang mendukung keselamatan berkendara. Salah satu solusi pendukung keselamatan berkendara tersebut adalah fitur Advanced Driver Assistance Systems (ADAS) yang menggunakan pengambilan keputusan berdasarkan perhatian visual. Penelitian ini mengembangkan metode deskripsi citra lalu lintas menggunakan arsitektur Object Relation Transformer yang dipadukan dengan strategi decoding Beam Search size 2 untuk menghasilkan deskripsi yang sesuai dan kontekstual terhadap citra. Keunggulan Object Relation Transformer terletak pada kemampuannya dalam memahami relasi spasial antar objek melalui mekanisme geometric attention yang memperkuat pemahaman semantik dalam citra. Sementara Beam Search Size 2 memungkinkan eksplorasi struktur kalimat yang lebih optimal.
Data citra lingkungan lalu lintas diambil dari situs BerkeleyDeepDrive yang kemudian diberi 2 anotasi deskripsi untuk tiap citra oleh penulis. Ekstraksi fitur visual dilakukan menggunakan pretrained ResNet101 guna menghasilkan representasi objek yang mendalam. Data teks diproses menggunakan tokenizer Stanza yang kemudian dikonversikan menjadi indeks berdasarkan kosakata yang dibangun. Proses pemodelan dilakukan dengan menggabungkan fitur visual dan relasi spasial ke dalam arsitektur Transformer, kemudian deskripsi dihasilkan menggunakan Beam Search Size 2.
Evaluasi dilakukan menggunakan metrik BLEU, ROUGE-L, dan BERT-SCORE, dengan ketentuan semakin tinggi nilai evaluasi, maka semakin sesuai pula hasil deskripsi yang dihasilkan. Model Object Relation Transformer dengan Beam Search Size 2 mencapai skor BLEU-1 hingga BLEU-4 berturut-turut sebesar 34.48, 15.30, 8.92, dan 5.66, ROUGE-L sebesar 18.55, serta BERT-SCORE 74.25. Sebagai pembanding, model Show and Tell dengan basis CNN-LSTM menghasilkan skor BLEU-1 hingga BLEU-4 berturut-turut sebesar 21.88, 7.10, 3.70, dan 2.27, ROUGE-L sebesar 14.49, dan BERT-SCORE 70.51.
Dari sisi efisiensi, model Object Relation Transformer dengan Beam Search Size 2 membutuhkan waktu inferensi sekitar 39 detik untuk 125 citra, atau setara dengan 0,318 detik per citra. Meskipun kecepatan pemrosesan model ini lebih rendah dibandingkan model Show and Tell dengan basis CNN-LSTM yang mampu memproses 53,41 citra per detik atau sekitar 0,019 detik per citra, peningkatan waktu komputasi tersebut sebanding dengan peningkatan kualitas deskripsi yang lebih sesuai dan kontekstual. Dengan demikian, model ini tetap relevan untuk diterapkan dalam sistem transportasi cerdas.
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The The increasing traffic accidents in Indonesia have driven the development of technologies that support driving safety. One such safety support solution is the Advanced Driver Assistance Systems (ADAS) feature, which utilizes decision-making based on visual attention. This study develops a traffic image captioning method using the Object Relation Transformer architecture combined with a Beam Search decoding strategy of size 2 to generate accurate and contextual descriptions of images. The strength of the Object Relation Transformer lies in its capability to understand spatial relationships among objects through a geometric attention mechanism that enhances semantic understanding within images. Meanwhile, the Beam Search Size 2 enables a more optimal exploration of sentence structures.
The traffic environment image data were sourced from the Berkeley DeepDrive dataset and manually annotated with two descriptive captions per image by the author. Visual feature extraction was performed using a pretrained ResNet-101 to generate deep object representations. Text data were processed using the Stanza tokenizer and converted into indices based on a constructed vocabulary. The modeling process integrated visual features and spatial relations into the Transformer architecture, and descriptions were generated using Beam Search Size 2.
Evaluation was conducted using BLEU, ROUGE-L, and BERT-SCORE metrics, where higher scores indicate better alignment of the generated descriptions with the images. The Object Relation Transformer model with Beam Search Size 2 achieved BLEU-1 to BLEU-4 scores of 34.48, 15.30, 8.92, and 5.66 respectively, ROUGE-L of 18.55, and a BERT-SCORE of 74.25. In comparison, the Show and Tell model based on CNN-LSTM obtained BLEU-1 to BLEU-4 scores of 21.88, 7.10, 3.70, and 2.27, ROUGE-L of 14.49, and a BERT-SCORE of 70.51.
In terms of efficiency, the Object Relation Transformer model with Beam Search Size 2 required approximately 39 seconds for inference on 125 images, equivalent to 0.318 seconds per image. Although its processing speed is lower compared to the CNN-LSTM-based Show and Tell model, which can process 53.41 images per second or approximately 0.019 seconds per image, the increase in computation time is justified by the improved quality of descriptions that are more accurate and contextual. Therefore, this model remains relevant for application in intelligent transportation systems
SUPERRESOLUTION USING PAPOULIS-GERCHBERG ALGORITHM BASED PHASE BASED IMAGE MATCHING
No full textCitra resolusi tinggi (High Resolution Image) akan memberikan informasi yang lebih detail, sehingga analisis terhadap citra tersebut menjadi lebih akurat. Banyak bidang memerlukan citra resolusi tinggi antara lain adalah medical, penginderaan satelite, citra dari teleskop serta pengenalan pola.Pada penelitian ini dilakukan proses untuk mendapatkan citra resolusi tinggi, yang dikenal dengan superresolution. Sebagai citra referensi, digunakan lebih dari satu citra, namun demikian, citra-citra tersebut berada pada scene yang sama. Dua tahap utama dalam superresolution adalah registrasi dan rekonstruksi. Registrasi yang akurat diperlukan untuk mendapatkan hasil rekonstruksi yang baik. Phase-Based Image Matching (PBIM) digunakan untuk estimasi translasi pada tahap registrasi. Hanya translasi sampai ketelitian sub pixel yang berkontribusi dalam rekonstruksi. Untuk mendapatkan translasi sampai level sub pixel, dilakukan fitting disekitar puncak. Sedangkan untuk rekonstruksi ke dalam Grid Resolusi tinggi digunakan algoritma Papoulis-Gerchberg. Penulis melakukan kolaborasi antara registrasi dengan PBIM dan rekonstruksi menggunakan algoritma PapoulisGerchberg. Uji coba dilakukan penulis dengan obyek serangkaian citra dengan banyak tekstur dan sedikit tekstur. Dari hasil uji coba, citra dengan banyak tekstur akan menghasilkan Peak Signal to Noise Ratio (PSNR) rata-rata 21,62. Sedangkan untuk citra yang kurang mengandung tekstur 19,54. Kata kunci: Superresolution, Registrasi, Rekonstruksi, Phased Based Image Matching. Abstract High Resolution Image provide more detail information, so that it obtain more accurate image analysis. Many areas require high resolution image, such as medical, sensing satellite, image of the telescope and pattern recognition. This research make a process to obtain high resolution images, known as superresolution. This superresolution using a series of images in the same scene as the reference image. Two main stages in the super resolution are the registration and reconstruction. An accurate registration is required to obtain a great reconstruction results. Phase-Based Image Matching (PBIM) will be used to estimate pixels translation at the registration stage. Only sub-pixels translation which contribute to the reconstruction phase. We used the function fitting around the peak point, to obtain sub pixel accurate shift. While reconstruct a high-resolution image use Papoulis-Gerchberg algorithm. The author collaborate registration and reconstruction. Registration using PBIM and reconstruction using Papoulis-Gerchberg algorithm. Experiments have been done with a series of images that contain much texture and less texture. The experimental results with images contain much texture produces an average Peak Signal to Noise Ratio (PSNR) 21.62. While image contain less texture produces PSNR 19.54
Evaluasi Pelaksanaan Kebijakan Pengembangan USAha Agribisnis Perdesaan (Puap) Di Kecamatan Batang Kabupaten Batang
Full text linkStudy on Evaluation of Rural Agribusiness Development Policy (PUAP) in the District of Batang, Batang county is a fairly interesting discussion in line with the policies of poverty alleviation in rural areas.Developing countries such as Indonesia have major problems, namely poverty and unemployment, especially in rural areas. Therefore, the Ministry of Agriculture of the Republic of Indonesia issued Regulation of the Minister of Agriculture No. 16 / Permentan / OT.140 / 2/2008 on February 11, 2008 on general guidelines for Rural Agribusiness Development (PUAP) to overcome the limitation of capital sources for farmers. In the framework of the implementation of PUAP Minister of Agriculture has established a Rural Agribusiness Development Team of the Minister of Agriculture No. 545 / Kpts / OT.160 / 9/2007. Batang district is the recipient of funds. In the implementation of the Rural Agribusiness Development Policy (PUAP) also implemented by the Denasri Wetan sub district, Kasepuhan sub district, and Sambong sub district. The activities of the Rural Agribusiness Development Policy (PUAP) are savings and loans. Therefore, the formulation of the problem in this research is "How do the Implementation of Rural Agribusiness Development Policy (PUAP) Denasri Wetan sub district, Kasepuhan sub district, and Sambong sub district?" And "What are the factor that support and obstacle in the implementation of developing an Agribusiness rural areas (PUAP) policy in Denasri Wetan sub district, Kasepuhan sub district, and Sambong sub district? ".This type of research is a qualitative descriptive type. The primary data source was obtained through interviews, observation, and documentation and secondary data sources obtained from the archives, books, journals and other sources. Mechanical analysis with analysis from various sources, data reduction, until the conclusion according to the results obtained from the field.From the results of research conducted by the author, the conclusion that can be drawn from this study are: first, PUAP policy implemented by the 162 villages and sub-districts in Batang. In the study sites, Denasri Wetan sub district is categorized very good in the implementation of policies, but both of the comparative sub-districts such as Kasepuhan sub district and Sambong sub district are still developing and encountering some obstacles in its implementation. Second, supporting factors and obstacles of implementing the Policy Board PUAP derived from Gabungan Kelompok Tani (Gapoktan) and the user community themselves.Advice that can be given by author to relevant agencies namely the Executive Agency and the Food Security Extension (BP2KP) and Supervisor Mitra Tani (PMT) are continuing to improve, maintain performance and cooperation between actors in the monitoring and evaluating of policies PUAP Gapoktan organizers and together provide the best solutions to the problems that arise in the field. Whereas, recommendation for further research is the author can analyze the user community dependence Direct Community Assistance (BLM) PUAP toward PUAP funds from the government
ELECTRICAL TEST PADA PROSES PERBAIKAN MOTOR INDUKSI ROTOR SANGKAR 3300 V 750 KW
No full textThe electric motor is an important device in industry. Therefore
maintenance of electric motors on a company it is important that the production
process can proceed smoothly. Damage to a electric motor is usually caused due
to poor insulation on the motor windings. Damage to a electric motor can be seen
visually and by measurement. Measurement was conducted on the insulation
resistance, resistance test, surge comparison test and high potential test.
On occasion this internship program, author do a final project in the form
of case studies on electrical test on three phase induction motors with 3300 volt
input voltage and output power of 750 kW at which these motors have occurred
between short between the phase coil.Measurement process was conducted on the insulation resistance,
resistance test, surge comparison test and high potential test. Measurement were
taken before the repair and after doing a repair. So that the results of these
measurements can determine whether or not a motor. In the process of this
measurement using this standard of Electrical Apparatus Service Association
(EASA)
Characterization of a mammalian orthoreovirus isolated from the large flying fox, Pteropus vampyrus, in Indonesia
No full textFruit bats serve as an important reservoir for many zoonotic pathogens, including Nipah virus, Hendra virus, Marburg virus and Lyssavirus. To gain a deeper insight into the virological characteristics, pathogenicity and zoonotic potential of bat-borne viruses, recovery of infectious viruses from field samples is important. Here, we report the isolation and characterization of a mammalian orthoreovirus (MRV) from a large flying fox (Pteropus vampyrus) in Indonesia, which is the first detection of MRV in Southeast Asia. MRV was recovered from faecal samples of three different P. vampyrus in Central Java. Nucleotide sequence analysis revealed that the genome of the three MRV isolates shared more than 99% nucleotide sequence identity. We tentatively named one isolated strain as MRV12-52 for further analysis and characterization. Among 10 genome segments, MRV12-52 S1 and S4, which encode the cell-attachment protein and outer capsid protein, had 93.6 and 95.1% nucleotide sequence identities with known MRV strains, respectively. Meanwhile, the remaining genome segments of MRV12-52 were divergent with 72.9–80.7 % nucleotide sequence identities. Based on the nucleotide sequence of the S1 segment, MRV12-52 was grouped into serotype 2, and phylogenetic analysis demonstrated evidence of past reassortment events. In vitro characterization of MRV12-52 showed that the virus efficiently replicated in BHK-21, HEK293T and A549 cells. In addition, experimental infection of laboratory mice with MRV12-52 caused severe pneumonia with 75% mortality. This study highlights the presence of pathogenic MRV in Indonesia, which could serve as a potential animal and public health concern
Isolation and characterization of a novel alphaherpesvirus in fruit bats.
Full text linkBats are known to harbor emerging RNA viruses. Recent studies have used high-throughput sequencing technology to identify various virus species, including DNA viruses that are harbored by bats; however, little is known about the nature of these potentially novel viruses. Here, we report the characterization of a novel herpesvirus isolated from an Indonesian pteropodid bat. The virus, tentatively named fruit bat alphaherpesvirus 1 (FBAHV1), has a double-stranded DNA genome of 149,459 bp. The phylogenetic analyses suggested that FBAHV1 is phylogenetically grouped with simplexviruses within the subfamily Alphaherpesvirinae. Inoculation of FBAHV1 into laboratory mice caused a lethal infection. Virus infection was observed in lung, liver, and brain tissue. Serological and PCR screening revealed that fruit bats infected with FBAHV1 or its related virus are widely distributed in Indonesia. The identification of FBAHV1 makes a considerable contribution to our understanding of simplexviruses associated with bats
Detection of coronavirus genomes in Moluccan naked-backed fruit bats in Indonesia
Full text linkBats have been shown to serve as natural reservoirs for numerous emerging viruses including severe acute respiratory syndrome coronavirus (SARS-CoV). In the present study, we report the discovery of bat CoV genes in Indonesian Moluccan naked-backed fruit bats (Dobsonia moluccensis). A partial RNA-dependent RNA polymerase gene sequence was detected in feces and tissues samples from the fruit bats, and the region between the RdRp and helicase genes could also be amplified from fecal samples. Phylogenetic analysis suggested that these bat CoVs are related to members of the genus Betacoronavirus
Detection of novel gammaherpesviruses from fruit bats in Indonesia
Full text linkBats are an important natural reservoir of zoonotic viral pathogens. We previously isolated an alphaherpesvirus in fruit bats in Indonesia, and here establish the presence of viruses belonging to other taxa of the family Herpesviridae. We screened the same fruit bat population with pan-herpesvirus PCR and discovered 68 sequences of novel gammaherpesvirus, designated 'megabat gammaherpesvirus' (MgGHV). A phylogenetic analysis of approximately 3.4 kbp of continuous MgGHV sequences encompassing the glycoprotein B gene and DNA polymerase gene revealed that the MgGHV sequences are distinct from those of other reported gammaherpesviruses. Further analysis suggested the existence of co-infections of herpesviruses in Indonesian fruit bats. Our findings extend our understanding of the infectious cycles of herpesviruses in bats in Indonesia and the phylogenetic diversity of the gammaherpesviruses
