99741 research outputs found
Sort by
The Effects of Ultraviolet B on The Efficacy of Bacillus thuringiensis var. kurstaki Formulations Against Tobacco Armyworm, Spodoptera litura (Lepidoptera: Noctuidae)
No full textTobacco armyworm (Spodoptera litura Fab.) is one of the major insect pests of crops in Indonesia. The management of this pest still depends on the use of chemical insecticides. The use of bio-insecticides, such as Bacillus thuringiensis (Bt.), are known to be alternatives, but it easily degraded by sunlight. This research aimed to study the effects of UV B on Bt. pathogenicity and to explore plant-based additives as UV B protectants for Bt. against armyworm. Thirteen plant extracts were screened based on their UV spectra absorbencies using UV spectrophotometry. The extracts, namely cloves, Jicama, Celebes pepper, turmeric, and Moringa, then used for the formulations of Bt. and exposed under UV B lights for 0, 72, and 144 h. After exposure to UV B, Bt. formulations were tested for bioassay against one-day-old 1st and one day old 2nd larval instars of tobacco armyworm. The result indicated that at 72 and 144 h of UV B exposures, the Bt. added formulations were signifcantly different compared to Bt. alone. At 72 h exposure against the 2nd larval instar, the larval mortality of tobacco armyworm on the second day of observation on Bt. formulated with Celebes pepper and turmeric was 97.3 and 80, respectively, whereas, at 144 h exposure, the mortality was 96 and 89.3, respectively. This study concluded that Celebes pepper and turmeric extracts were the potential to be used as the Bt. protectants against UV B. © 2023, Bogor Agricultural University. All rights reserved
Kalibrasi Tahunan LINAC di RSPAD Gatot Soebroto
No full textPenyakit kanker merupakan salah satu penyebab kematian terbesar di
Indonesia, yakni sekitar 70% dan parahnya lagi sebagian besar ditemukan dalam
keadaan stadium yang sudah lanjut. Dengan demikian, instalasi radioterapi dan
kedokteran nuklir menjadi instalasi yang penting karena mampu melakukan
diagnosis penyakit tumor dan kanker saat masih dalam stadium awal sehingga dapat
memberikan penanganan lebih dini terhadap penyakit tersebut. Rumah Sakit Pusat
Angkatan Darat Gatot Soebroto merupakan rumah sakit kepresidenan yang menjadi
salah satu instansi pelayanan kesehatan dengan teknologi perawatan untuk pasien
kanker karena fasilitas radioterapi dan kedokteran nuklir yang dimiliki cukup lengkap.
Kerja Praktik dilakukan selama 1 bulan, dengan pembagian waktu untuk
masing-masing instalasi selama 2 minggu. Kegiatan yang dilakukan selama Kerja
Praktik difokuskan pada berbagai pembelajaran terkait dengan bidang fisikawan
medik seperti proteksi radiasi, kendali mutu harian LINAC, Sistem Perencanaan
Terapi (Treatment Planning System atau TPS), dekontaminasi sumber radioaktif
terbuka, pengelusian radiofarmaka, kendali mutu radiofaramaka, dan SPECT.
Tugas Khusus Kalibrasi Tahunan LINAC dilakukan dengan mengalibrasi
kedua jenis sinar yang digunakan (foton dan elektron) pada semua energi operasi
LINAC(2 energi operasi sinar foton dan 6 energi operasi sinar elektron).
Didapatkan hasil berupa hampir seluruh energi operasi memiliki nilai yang masih
dibawah batas ambang. Hanya sinar elektron berenergi 8 MeV yang memiliki nilai
galat di atas ambang, yakni sebesar 3,65% dan harus dikoreksi oleh teknisi sehingga
penulis memilih energi tersebut untuk dijadikan sebagai contoh perhitungan
kalibrasi. Sedangkan pada sinar foton, penulis memilih energi 10 MeV sebagai
contoh perhitungan dan didapatkan nilai galat sebesar 1,83%. Nilai tersebut masih
di bawah batas ambang nilai galat yang diterima sehingga tidak perlu dikoreksi oleh
teknisi.
Selama menjalankan Kerja Praktik, penulis mendapatkan banyak sekali
perlajaran mengenai dunia kerja seperti kedisiplinan, kemampuan komunikasi dan
kerjasama, serta penerapan 5S (senyum, salam, sapa, sopan, dan santun) dan 5R
(ringkas, rapi, resik, rawat, dan rajin)
Klasifikasi Citra Berbasis Convolutional Neural Network untuk Prediksi Kerusakan On Board Camera di Hotcell Instalasi Radiometalurgi
No full textPada kerja praktik ini, dilakukan studi kasus berupa pengklasifikasian citra plat bahan bakar bekas yang diambil menggunakan sistem on board camera pada manipulator hotcell. Terdapat 60 citra plat bahan bakar yang diambil menggunakan on board camera, dengan 31 citra tergolong ‘blur’, dan 29 tergolong ‘clear’. Klasifikasi kualitas citra ini dilakukan menggunakan convolutional neural network (CNN). Untuk meningkatkan keberagaman data citra yang digunakan selama
proses pelatihan model CNN, dilakukan ekspansi data citra menjadi total 500 citra dengan masing – masing 250 citra ‘blur’ dan ‘clear’. Sebelum dilakukan pemisahan data train-validation dan test secara random, dilakukan penyeragaman ukuran tensor citra dan normalisasi nilai pixel. Model CNN yang telah disusun kemudian dilatih dengan hasil augmentasi dataset training dan dilakukan pemantauan perkembangan model dengan dataset validation, yang kemudian diuji dengan dataset test. Dari hasil uji coba eksekusi program, didapatkan akurasi model berdasarkan hasil validasi sebesar 99,75% ± 0,50% dan akurasi klasifikasi data uji sebesar 98%
Analisis Variasi Material Shielding Cyclotron HM-12 untuk Fasilitas Produksi F-18 dengan Metode Monte Carlo (PHITS)
No full textPengidap kanker di Indonesia menempati urutan ke 23 terbanyak dari 48 negara di Asia. Tiga dari lima jenis kanker terbanyak di Indonesia dapat dideteksi menggunakan PET-Scan. PET-Scan memerlukan radiotracer yang diproduksi menggunakan cyclotron. Cyclotron memancarkan radiasi primer dan sekunder sehingga diperlukan suatu shielding untuk tujuan keselamatan yaitu melindungi pasien, pekerja radiasi, dan masyarakat lingkungan. Penelitian ini ditujukan untuk meningkatkan nilai TKDN agar mencapai 40% sesuai dengan INPRES No 2/2022.
Perhitungan flux dan laju dosis dilakukan dengan melakukan simulasi PHITS. Simulasi digunakan untuk melakukan variasi tebal dengan tebal 200cm, 158cm, 150cm dengan menggunakan beton portland dan variasi material yang digunakan adalah beton portland, barit, dan boron yang memiliki tebal 125cm. Sumber yang digunakan berasal dari cyclotron HM-12 yang memiliki energi 12MeV 60μA.
Hasil dari penelitian ini adalah pilihan material yang digunakan adalah beton porland, barit, dan boron. Beton portland dipilih karena sudah terstandariasi SNI. Radiasi foton merupakan radiasi yang mendominasi flux, sedangkan pada laju dosis didominasi oleh radiasi neutron. Tebal shielding beton portland yang ideal adalah 158cm. Pada ketebalan beton portland 158 cm menghasilkan laju dosis sebesar 0,21 μSv/jam dengan nilai batas dosis 0,25 μSv/jam sehingga dinyatakan bahwa beton portland 158cm selamat untuk masyarakat umum
Analisis Perangkat Lunak BIOTREK Pada Sistem Keamanan Managemen Personil
No full textPerangkat lunak BioTrek merupakan sebuah perangkat lunak keamanan yang berbasis web yang dikembangkan oleh PT. Mukti Global, PT. ZKTeco, dan UGM. Perangkat ini dapat mengintgrasikan berbagai modul seperti akses kontrol, elevato, dan sebagainya. Pada Laporan Kerja Praktek berjudul, “Analisis Perangkat Lunak BioTrek pada Sistem Keamanan Managemen Personil” fokus kerja praktik yang dilaksanakan terkait dengan keamanan managemen personil. Kerja Praktik dilaksanakan secara daring dengan pemberian akses terhadap buku panduan, website pada sistem keamanan managemen personil, dan pertemuan untuk pengarahan serta pengenalan mengenai integrasi dengan perangkat keras. Output dari kerja praktik ini berupaka buku panduan dalam bahasa indonesia yang dapat digunakan sebagai pemandu penggunaan alat untuk sistem keamanan managemen personil pada perangkat lunak BioTrek. Hasil susunan tersebut kemudian disatukan dengan modul lainnya dan menghasilkan panduan utuh yang menjadi petunjuk penggunaan perangkat lunak BioTrek
Indonesia’s Recent University Graduates amidst the COVID-19 Pandemic: Employability and Resilience
No full textThis study investigates the experiences of Indonesia’s fresh university graduates during the COVID-19 pandemic and their efforts to enter the world of work. We discuss this issue by referring to the scholarly discussion of youths’ transition to work in the post-industrial era, during which traditional full-time and life-long employment has given way to a more contingent employment landscape. This article relies on data collected from an online survey involving 800 fresh university graduates, in-depth interviews with 16 informants, and focus group discussions with 24 participants. It shows that most fresh graduates have had difficulty finding the jobs they desire during the COVID-19 pandemic. Nonetheless, most of them have adapted resiliently through meaningful activities such as social networking, religious missions, and skill upgrading. We argue that fresh graduates in Indonesia have experienced multiple transitions without any order or regularity (i.e., fractured transitions), which has only been exacerbated by the COVID-19 pandemic. This study enriches our understanding of labor and employability by considering their noneconomic dimensions through an exploration of fresh graduates’ individual trajectories and socio-economic contexts, and echoes that youth transition is neither linear nor uniform
Interpretation on aerial photography for house identification on landslide area at Bompon sub-watershed
No full textStudies about assessing buildings' damage and vulnerability on a detailed scale are still rare to find. Especially regarding the guidelines to analyze remote sensing data are still limited nowadays before further reviewing the procedures for analyzing the vulnerability of buildings to landslides based on remote sensing data, the most fundamental thing is how to collect information on vulnerable objects, such as houses, which are mostly still carried out by field surveys. Therefore, this study aims to identify the houses in an area prone to landslides in Bompon Sub-Watershed based on aerial photograph interpretation. The result from this study is a systematic step to analyze house buildings in an area prone to landslides based on small-format aerial photographs. Those steps are field observation, building interpretation, proxy interpretation, deduce from a set of proxies, and the last is landslide area interpretation. The interpretation keys arranged from this study can sufficiently identify the house buildings despite some errors where it usually happens on some objects such as storehouses or omah suwung. © 2023 Author(s)
Assessment of geological diversity, geosites, and geotourism potencies at Menoreh Mountain for designation of geopark area
No full textMenoreh Mountain area is an area with very high geological uniqueness. One of the statuses that is contextually determined is a geopark because it provides a framework for conservation, education, and sustainable local economic activities as its pillars that are relevant to the agenda of economic development. It is necessary to characterize the existing geotourism potential in Menoreh Mountain area. This research attempts to identify and develop this potential using spatial and regional complex approaches. Technically, the method used is the Modified Geosites Assessment Model (M-GAM) combined with Hot-Spot Analysis to obtain spatial and non-spatial geotourism potential clustering. Clustering is done using K-Means Cluster Analysis. The results show that the existing geosites, spatially formed a cluster and can be used to determine the theme of the tourism activity to strengthen the geopark pillars. The development of geopark is hindered by several constraints including the division of administration and the disparity of each administrative region's capability. In general, a strategy to tighten the stakeholder and optimize the research is required to initially strengthen the geopark's pilars. It is also important to build a linkage of the geodiversity with the biodiversity and cultural diversity to enhance the significance value of Menoreh Mountain. © 2023 Elsevier B.V
Settlement mapping analysis as land use change monitoring in Bogor Regency sub urban area
No full textSettlements are one of the basic human needs that need to be fulfilled. The development of settlements has implications for changes in land use. The high urban population affects the need for settlements in East Cilebut Village as a suburb area which is included in the peri-urban area. East Cilebut Village has the highest population density in Sukaraja District. Physical changes to the area in East Cilebut Village occurred in 2015 and 2020 with the emergence of new settlements. The research was conducted as a form of monitoring the changes in land use into settlements in East Cilebut Village. Monitoring was carried out by mapping settlement blocks in 2015 and 2020. The growth of settlement area was identified through Google Earth satellite imagery in 2015 and 2020. Data processing techniques were carried out by interpreting and on-screen digitizing satellite imagery using ArcGIS. The results of data processing were analyzed descriptively by presenting the data in the form of graphs and maps. Changes in settlement area occurred from 2015 to 2020. The settlement area in 2020 was higher than 2015. The results of data processing are expected to provide advice on settlement development policies for the local government. © 2023 EDP Sciences. All rights reserved
Mangrove species mapping through phenological analysis using random forest algorithm on Google Earth Engine
No full textProviding rapid, reliable, and accurate mapping methods is essential to support mangrove species inventory and conservation. The vegetative phenological analysis approach can be incorporated to differentiate mangrove species based on time-series image data. This study aims to (1) characterize the phenological signatures of mangrove species in the observed area, and (2) use the vegetative phenological patterns for mangrove species mapping using the random forest (RF) algorithm on the Google Earth Engine (GEE) platform. We characterized the vegetative phenological signatures of mangrove species using 82 filtered Sentinel-2 multi-temporal images from 2018 to 2020. Three vegetation indices, namely Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Soil-Adjusted Vegetation Index (SAVI), were compared to observe the mangrove vegetative phenophases trends using the GEE platform. The Mean Decrease of Gini (MDG) and the Mean Decrease of Accuracy (MDA) were calculated to determine months with critical vegetative phenophases of each mangrove species. There were six mangrove species classes and one intertidal class included in the classification at the Clungup Mangrove Conservation (CMC) area in Malang, Indonesia. Each mangrove species phenophases showed that the curve value increased in the rainy season and decreased in the dry season based on the vegetation index value fluctuations. We found that using RF-based classification, we can use these phenophases patterns to differentiate between one mangrove species to another. Our finding shows that the wet months in the middle to the end of the rainy season play an important role in distinguishing between mangrove species. The vegetative phenological analysis resulted in high accuracy in mapping mangrove species in the study area, with an overall accuracy of 72.01 for EVI, 81.82 for SAVI, and 82.51 for NDVI. The results demonstrated that mangrove species could be differentiated and mapped using vegetative phenological analysis based on multi-temporal images. © 2023 Elsevier B.V