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Evaluation of State of Charge Estimation of Lithium-ion Batteries using Deep Learning
No full textThe rapid development of electric vehicles also demands the development of supporting tools for EVs, namely batteries. For the EV to work optimally as support, it requires monitoring and maintaining the battery using the Battery Management System (BMS). One of the battery conditions that needs to be observed is the State of Charge (SOC). Observations on SOC can be done in various ways, one of which is by determining the estimated SOC value using data-driven. This study used public data's voltage, current, and temperature data for training and data testing using deep learning. The architecture used in this study is a combination of Long Short-Term Memory (LSTM), Gate Recurrent Units (GRU), and recurring neural network (RNN). Observation of the results was carried out on data with a temperature of 25° C and the hidden nodes of each architecture were 25 (LSTM), 50 (GRU), and 50 (RNN) obtained an MAE value of 1.8% and an MSE of 0.0561%
The Reinventing of public administration in the new hybrid world
No full textThe turbulent environment pushes public administration to its limits, resulting in revolutionary changes. When the pandemic hit the world in early 2020, public administration was faced not only with complex problems, but also tumultuous challenges marked by the emergence of unpredictable events. In the new hybrid world, public administration has evolved into a distinct model that enables organizations to use new and emerging technologies. By redefining the characteristics of speed, ethics, and fusion, this article aims to contribute to the discussion of how a hybrid approach to public administration may contribute to ongoing debates. © The Author(s) 2023
Studi Ketahanan [Cu3(C6H3(COO)3)2(H2O)3]n (HKUST-1) terhadap Berkas Elektron pada Dosis 0 Sampai 150 kGy
No full textRadioactive waste processing is still a challenge in the use of radioactive materials. Radioactive waste is toxic and carcinogenic, so it cannot be disposed directly into the environment. HKUST-1 is a material that has the potential as an adsorbent for radioactive waste. However, research on HKUST-1's resistance to radiation has yet to be widely carried out.
In this study, the resistance of HKUST-1 was tested by electron beam irradiation using four different doses, namely 50, 100, 125, and 150 kGy. SEM, XRD, and isothermal adsorption tests were then carried out to determine the characteristic changes in HKUST-1.
The test results for the characteristics of the electron beam radiation affect the changes in the characteristics of HKUST-1. The crystal adsorption quality decreased in the irradiation dose range of 50 to 125 kGy, indicating amorphization. It was found that there was a possibility of crystallization due to the influence of electron beam irradiation at doses of 50 and 150 kGy, which led to increased adsorption quality at these doses. The best adsorption quality in this study was HKUST-1 which was irradiated with the highest dose, namely 150 kGy with an average adsorbed gas volume of 332.05 cc/g, surface area of 947.747 m2/g, and pore volume of 0.5586 cc/g
P2P lending: Moderation of desirability of control on risk-taking decisions of Indonesian borrowers
No full textThe number of users of peer-to-peer (P2P) lending applications in Indonesia continues to grow rapidly even though it is followed by increased cases of alleged criminal violations in the financial sector. Users continue to use these financial technologies despite being aware of the high risks and potential negative consequences they may receive. Meanwhile, the results of previous research in the context of financial technology show that the higher the risk perceived by users, the more discouraged they are from using financial technology. In addition, the number of studies that discuss decision-making at the user group level is still limited. Tests using the structural equation model (SEM) method showed that the desirability of control moderates the negative effect of perceived risk on P2P lending usage intention. The desirability of control is proven to weaken the effect of perceived risk on the intention to use P2P lending. As a result, borrowers with high desirability of control tend to ignore the high risk of using online lending providers so they will continue to take these actions. Meanwhile, borrowers with low desirability of control try to maintain their control by avoiding the use of P2P lending. In addition, the Bollen�Stine bootstrap procedure also showed that the model meets the goodness of fit even though the data was not normally distributed in multivariate analysis. The results of this study also imply that the government needs to formulate regulations to tighten lending procedures to minimize the potential for defaults on debt that harm the community and online lending providers. © 2023, The Author(s)
Production of Dipeptidyl Peptidase-IV Inhibitory Peptides from Germinated Jack Bean Canavalia ensiformis (L.) DC. Flour
No full textAn alternate plant-based protein, jack bean sprout, was explored as a source of bioactive peptides. Germination to increase dipeptidyl peptidase-IV (DPP-IV) inhibitory peptide in jack bean sprout flour has yet to be reported. Therefore, this study aimed to investigate the optimal condition to maximize the content of bioactive peptides with maximum DPP-IV inhibitory activity. The relationship between germination and DPP-IV inhibitory activity was determined by analyzing the proteolytic activity, percentage of degree of hydrolysis (DH), and peptide content. Peptide samples with the most potent DPP-IV inhibitory activity were subsequently fractionated, identified, and characterized. The 60-h germinated jack bean had the best DPP-IV inhibitory activity (41.57; half maximal inhibitory concentration=2.24 mg/mL). Proteolytic activity (15.24 unit/g), DH (11.43), and peptide content (59.71 mg/g) supported this result. Furthermore, the <1.0 kDa peptide fraction of this sprouted flour had the highest molecular weight (MW) distribution (32.60) and DPP-IV inhibitory activity (71.99). Peptide sequences identified from MW <1.0 and 1.0�3.5 kDa peptide fractions had valine, leucine, isoleucine, glycine, and tryptophan at the N-terminal and also had alanine at the penultimate N-terminal, verifying their presence as DPP-IV inhibitors. Furthermore, peptide sequences generated exhibited other biological activities, including angiotensin-converting enzyme, renin, and α-glucosidase inhibitors. © 2023 The Korean Society of Food Science and Nutrition
Post-Tin-Mining Agricultural Soil Regeneration Using Local Resources, Reduces Drought Stress and Increases Crop Production on Bangka Island, Indonesia
No full textMining severely affects ecosystems and threatens local food security. Remediation practices, however, are a viable way of reducing the negative impacts on post-mining lands. In this study we aim to improve crop yields and drought resistance on a post-tin-mining site located in Bangka Island, Indonesia, with locally available resources. Plots with five different soil amendments: (1) dolomite; (2) compost; (3) charcoal; combinations of (4) charcoal + compost; and (5) charcoal + sawdust; and a control were established. An intercropping system with cassava and centrosema was employed, and yields were determined. Drought resistance was evaluated by carbon isotope discrimination (A13C) from crop parts of cassava and centrosemaa's shoot. Soil physicochemical properties were determined at harvesting time. Soil amendments significantly improved cassava and centrosema yields. In particular, the compost and combined (charcoal + compost) treatments enhanced centrosema yields (1.18 and 1.99 kg·plot -1, respectively) and were related to higher nutrient availability. Similarly, compost, charcoal, and combined treatments showed positive effects on the cassava yield (0.15-0.16 kg· plant-1) and a higher drought resistance in the charcoal treatment (A 13C= 21.48%). Increased water-holding capacity (WHC) reduced the water deficiency and boosted yields of cassava and centrosema when the soil was treated with dual amendments (charcoal + compost). Charcoal, compost, and their combination turned out to be the most sustainable amendments in degraded post-mining tropical soils. © 2022 by the authors
Follicle Detection Model on Ovarian Ultrasound Image
No full textEvery woman has two ovaries. Ovaries have several follicles, which consist of oocytes or eggs which are filled with granulosa cells. Some women can have a difference in the number of follicles in each ovary. There are cases of several follicles that are coincided, making it difficult to calculate the number of follicles. In this study, the separation of adjoining follicles and automatic follicle counting was carried out from the results of ovarian ultrasound image segmentation. The segmentation results obtained feature information in the form of follicular feature extraction as many as eight features. The techniques used in this work for feature selection was carried out using Principal Components Analysis (PCA) to reduce the feature. In this study, the PCA and Support Vector Machine (SVM) classifier produced higher accuracy than the classification without PCA. The experimental results also show that the proposed method produced higher classification accuracy than previous work, which yielded 90.39% accuracy, 90.27 % sensitivity, and 90.43 % specificity
Detection of Transposon Gene in Lurik Peanuts (Arachis hypogaea var. lurik L.) with AhMITEs Analysis
No full textPeanut (Arachis hypogaea L.) is one of the leading commodities in Indonesia that are consistently growing with high demand. However, its productivity in the current state is relatively few, thus causing dependency on imported products. Developing new varieties is one of the many solutions to these problems. Lurik peanuts are superior local varieties to any other peanuts in terms of productivity and disease resistance. Seed with the purple pattern is this cultivar's special characteristic and main attraction. This study aimed to identify and verify the activity of transposon genes in the seed pattern of Lurik peanuts. This research method was carried out by gene detection and sequencing analysis using PCR-AhMITEs (Arachis hypogaea Miniature Inverted Transposable Elements). The study used the Garuda variety as a comparison due to the absence of seed patterns, and it is a superior variety widely cultivated in Indonesia. Four types of primers used in this study were AhMITE1, AhTE0357, AhTE0391, and AhTE1317. The results revealed that the four primers had a linear relationship that could distinguish Lurik peanuts and Garuda peanuts based on the presence of transposon genes. The sequencing results confirmed that the detected genes were transposons from peanuts, located on chromosome 5 (Arahy.5), chromosome 9 (Arahy.9), chromosome 14 (Arahy.14), and chromosome 19 (Arahy.19). Based on the results of the study, the pattern on Lurik peanuts is an expression of the transposon gene activity. © IJASEIT is licensed under a Creative Commons Attribution-Share Alike 4.0 International License
Optimasi Dimensi Pitch dan Pengayaan Bahan Bakar Mikroreaktor Hidrid Menggunakan Metode NSGA-II Berbasis Kalkulasi OpenMC
No full textKebutuhan energi di Indonesia dapat dipenuhi secara andal, aman, dan ekonomis dengan penggunaan mikroreaktor nuklir. Penelitian ini akan melakukan optimasi neutronik desain teras hydride microreactor menggunakan Nondominated Sorting Genetic Algorithm-II (NSGA-II) dengan mempertimbangkan
dua objektif meliputi nilai faktor multiplikasi neutron efektif (keff) dan power peaking factor (PPF). Dengan demikian, didapatkan reaktor yang lebih aman dan
ekonomis.
Program optimasi NSGA-II dituliskan dalam bahasa pemrograman Python. Reaktor dimodelkan dalam kode simulasi OpenMC dengan variasi pengayaan bahan bakar dari 6% hingga 12% dengan langkah 0,1% serta variasi pitch dari 2,0 cm hingga 2,1 cm dengan langkah 0,1 cm. Optimasi dilakukan hingga kondisi
terminasi terpenuhi. Solusi optimasi pada pareto front kemudian dikaji lebih lanjut dengan memperhitungkan siklus bahan bakar dan juga koefisien umpan balik reaktivitas.
Desain optimal menggunakan pengayaan bahan bakar sebesar 10,4% dan pitch sebesar 2,1 cm. Desain tersebut menghasilkan keff sebesar 1,0712049, PPF sebesar 2,1726 pada keadaan beginning of life (BOL), dan memiliki nilai koefisien
umpan balik reaktivitas negatif seluruhnya. Konfigurasi tersebut juga memungkinkan operasi reaktor selama 12,344 tahun tanpa menggunakan racun dapat bakar dan menghemat penggunaan bahan fisil sebesar 37,66 kg
SIMULASI NEUTRONIK DETEKTOR FISSION CHAMBER (FC) MENGGUNAKAN MCNP
No full textSistem instrumentasi atau sistem deteksi parameter fisis untuk pengendalian daya pada reaktor nuklir adalah detektor neutron, salah satu dari detektor neutron adalah detektor fission chamber (FC). Pada Kerja Praktik (KP) ini dilakukan studi khusus yaitu melakukan simulasi neutronik menggunakan MCNP terhadap dua buah model detektor yang telah dimodelkan. Tujuan simulasi ini adalah untuk mengetahui besar fluks neutron yang ada pada material kedua buah detektor tersebut sehingga dapat di lakukan perhitungan untuk mendapatkan besar arus keluaran dari masing-masing detektor menggunakan faktor konversi dari data sheet detektor. Diperoleh fluks neutron termal (0,025 eV) untuk detektor CFUE24 adalah sebesar 2,16987×10^11 n.cm^(-2) .s^(-1) sedangkan untuk neutron CFUL08 adalah sebesar 1,706×10^10 n.cm^(-2) .s^(-1), fluks neutron kasip (0,4 MeV) untuk detektor CFUE24 adalah sebesar 1,54638×10^11 n.cm^(-2) .s^(-1) sedangkan untuk neutron CFUL08 adalah sebesar 9,44604×10^9 n.cm^(-2) .s^(-1), fluks neutron cepat (2 Mev) untuk detektor CFUE24 adalah sebesar 2,80848×11 n.cm^(-2) .s^(-1) sedangkan untuk neutron CFUL08 adalah sebesar 3,02051×10^10 n.cm^(-2) .s^(-1), dan fluks neutron rata-rata Reaktor Kartini (0,21 eV) untuk detektor CFUE24 adalah sebesar 6,25941×10^11 n.cm^(-2) .s^(-1) sedangkan untuk neutron CFUL08 adalah sebesar 4,76208×10^10 n.cm^(-2) .s^(-1). Dapat diperoleh besar fluks neutron total dari penjumlahan fluks neutron untuk semua rentang energi neutron yang telah disimulasikan yaitu sebesar 1,27841×10^12 n.cm^(-2) .s^(-1) untuk detektor CFUE24 dan 1,27841×10^12 n.cm^(-2) untuk detektor CFUL08. Berdasarkan fluks neutron total yang telah diperoleh, didapatkan besar arus total yang dihasilkan oleh detektor CFUE24 adalah sebesar 1,27841×10^(-3) A dan besar arus total yang dihasilkan oleh detektor CFUL08 adalah sebesar 2,08646×10^(-2) A