cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mega Novita
Contact Email
novita@upgris.ac.id
Phone
+6285867312111
Journal Mail Official
asset@upgris.ac.id
Editorial Address
Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
Location
Kota semarang,
Jawa tengah
INDONESIA
Advance Sustainable Science, Engineering and Technology (ASSET)
Published by Universitas PGRI Semarang
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology
This journal aims to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of science, engineering, and technology
Arjuna Subject : Energi (semua kategori) - Teknik Energi dan Teknologi Daya
Articles 141 Documents
 1   2   3   4   5 
Prediction of 4f7-4f65d1 transition energy of Eu2+ in oxides based on first-principles calculations and machine learning Hori, Hiroyuki; Takemura, Shota; Obata, Hayato; Ogasawara, Kazuyoshi
Advance Sustainable Science, Engineering and Technology Vol 2, No 1 (2020): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i1.6212

Abstract

In order to establish a method to predict the 4f7-4f65d1 transition energy of Eu2+ in oxides, linear regression models were created based on first-principles calculations and machine learning. The model clusters consisting of the central Eu2+ and O2- ions closer than the nearest cation were constructed and the 4f7-4f65d1 absorption energy of Eu2+ in these clusters were calculated by first-principles many-electron calculation using the relativistic discrete variational multi-electron (DVME) method. However, the 4f7-4f65d1 absorption energies of Eu2+ in oxides calculated by relatively simple first-principles calculations tend to be overestimated by ca. 1.6 eV. In order to improve the accuracy of the prediction, we performed machine learning considering the calculated absorption energy as well as the other electronic and structural parameters as the attributes. As a result, the regression formula to predict the 4f7-4f65d1 absorption energy of Eu2+ in oxides has been created by machine learning. The 4f7-4f65d1 absorption energy predicted by this model are in good agreement with the experimental ones. Therefore, accuracy of the prediction was significantly improved compared to the simple first-principles calculations. In a similar way, a predictive model of the 4f65d1-4f7 emission energy of Eu2+ in oxides has been also created
Fractionation of metabolite compound from Medinilla speciosa and their antioxidant activities using ABTS.+ radical cation assay Vifta, Rissa Laila; Luhurningtyas, Fania Putri
Advance Sustainable Science, Engineering and Technology Vol 1, No 1 (2019): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v1i1.4878

Abstract

Phenolic compounds are one of the main parts in secondary metabolites. Parijoto fruit is a family of Melastomataceae which contains flavonoids as phenolic compounds which are known to have antioxidant potential. Flavonoids have an-OH groups that play an active role as free radical scavengers. The study was conducted as initial screening in testing the antioxidant activity of extracts and fractions of the Parijoto fruit (Medinilla speciosa). The study began with the phytochemical screening process using the Thin Layer Chromatography method to ensure the presence of flavonoid content in extracts and fractions of parijoto fruit, then proceed with the measurement of antioxidant power. Testing the antioxidant activity using the ABTS method (2,2 azinobis (3-ethylbenzothiazolin) -6-sulfonic acid) which is specific, simple and easy to apply. Parijoto fruit extracts and fractions were made in a series of concentrations, measured antioxidant activity, and each IC50 value was determined. Phytochemical screening test results showed the presence of flavonoids in extracts and fractions of parijoto fruit. The results of measurements of antioxidant power in extracts and fractions of parijoto fruit gave IC50 values of 6,520 ppm in ethanol extracts with very strong antioxidant categories. The n-hexane fraction produced an IC50 value of 118,424 ppm with a moderate antioxidant category, while the IC50 value of ethyl acetate and ethanol fractions was 4,246 ppm and 3,874 ppm, respectively, with a very strong antioxidant category. The activity and value of IC50 produced by extracts and fractions of Parijoto fruits showed potential as a candidate of antioxidant.Keywords: ABTS, Antioxidant, Flavonoids, Medinilla speciosa, Phenolic
Characterization of Yellow Pigmented Bacteria Associated with Gracilaria sp. Lunggani, Arina Tri; Purwantisari, Susianna; Jannah, Siti Nur
Advance Sustainable Science, Engineering and Technology Vol 2, No 2 (2020): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i2.7041

Abstract

Research on the kinship analysis of endophytic bacterial  isolated from Gracillaria sp has been carried out. The presence of bacteria associated with Gracilaria sp. has enabled the use of these bacteria as a source of new bioactive compounds, such as biopigments. The research aims to isolated bacteria from Gracilaria sp., screened their symbiont bacteria that could potentially produce pigments. Sampling Gracilaria sp. conducted in the waters of the Island of  Karimunjawa, Jepara. Furthermore, bacterial isolation was carried out, screening for pigment-producing bacteria and 16S rRNA sequence analysis. Research result showed that the symbiont bacteria isolate TK 373 produced consistent pigments after several regenerations, in several types of growth media incubated at room temperature. The results of 16S rDNA identification showed that the TK 373 isolate had the closest relationship with  Pseudoalteromonas sp. with  98.72 % homology.
Design and Development of Tourism Geographical Information System of Semarang City Based On Android Mobile Shobirin, Achmad; Aryotejo, Guruh; Danang, Danang
Advance Sustainable Science, Engineering and Technology Vol 2, No 1 (2020): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i1.6018

Abstract

The development of information technology that exists today is very rapid, making us to keep abreast of the development of these technologies. Technology is able to present all information quickly and instantly, leaving old patterns such as gathering information manually which may require more time. Information technology today is very effective and efficient as indicated by the speed of processing time and the accuracy of the information needed. One of them is the information about tourist attractions, which is currently increasingly in demand by people who want to vacation with friends, relatives and family. However, the lack of information about the location of attractions that want to be visited, especially for potential tourists from outside the area of Semarang, make the author interested in design and creating the Semarang City Geographic Tourism Information System Based on Android Mobile to facilitate the search for the nearest route to the desired tourist attraction. The method used is using the Geographic Information System based on the data from the Semarang City Culture and Tourism Service. The Semarang City Tourism Geographic Information System Based on Android Mobile is a solution to problem solving as a medium to obtain information and tourism locations in the Semarang, which is applied in Android Smartphone devices, especially for the people from outside the city of Semarang. 
Feeding Habits of Marsela Fish (Parachromis managuensis) In Penjalin Reservoir Brebes, Central Java Kresnasari, Dewi; Darajati, Anggun Dwita
Advance Sustainable Science, Engineering and Technology Vol 2, No 2 (2020): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i2.6222

Abstract

Abstract. The presence of introduced fish populations in the Penjalin Reservoir is increasing, one of the dominant ones being caught is Marsela (Parachromis managuensis). It is feared that this fish population will continue to increase and will have a negative impact on other organisms, especially native fish communities. This study aims to determine the eating habits of Marsela fish, the composition of the type of food and its relationship to the abundance of plankton in the waters. This research was conducted in September-October 2018. The method used was CPUE with a sampling technique that is Simple Random Sampling. Sampling of fish in one day is done 6 times, namely at 05:00, 11:00, 17:30, 21:00, 00:00, and 03:00. Fish samples obtained are then grouped according to length and then an analysis of the contents of the stomach. The results showed that in the Penjalin Reservoir the percentage of phytoplankton presence was 96% with the highest abundance found in the Bacillariophyta group. Marsela is an omnivorous fish with popular foods are Chlorophyta and Charophyta. However, in adulthood Marsela fish also eat animals.Keywords: Marsela Fish (Parachromis managuensis), Fish Eating Habits, Penjalin Reservoir
Hydrogen bonding investigation of poly(3-hydroxybutyrate) / glycol chitosan blends studied by infrared and terahertz spectroscopies Marlina, Dian; Sato, Harumi
Advance Sustainable Science, Engineering and Technology Vol 1, No 1 (2019): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v1i1.4879

Abstract

Poly(3-hydroxybutyrate) (PHB)/glycol chitosan (GC) polymer blend was developed as one of the new biopolymer materials. Effects of different PHB / GC concentrations were analysed as a function of the blend compositions by using Fourier transform infrared (FTIR) and terahertz (THz) spectroscopies to investigate the changes in the higher-order structure and bonding of hydrogen. The higher-order structure and hydrogen bonding monitored in this study include the crystalline structure and (C=O…H-C) hydrogen bonding of PHB. The FTIR and THz spectra showed that PHB's higher-order structure transforms into the less-order structure by adding GC without altering the crystalline structure and PHB's intramolecular (C = O ... H-C) hydrogen bonding with increasing GC concentration. Because of the addition of GC, the intensity ratio of THz bands figure out the crystalline dynamics of PHB, the helical structure deformation occurs first followed by the weakening of intramolecular (C = O ... H-C) hydrogen bonding within PHB-PHB molecules. Keywords: Chitosan, higher-order structure, hydrogen bonding, low-frequency vibrational spectroscopy
The Potential of Mechanic Vibration for Generating Electric Energy Hakim, Muhammad Afta Dzikril; Amiruddin, Muhammad; Hasto, Ken; Margono, Margono; Harjanto, Imadudin; Carsoni, Carsoni; Farikhah, Irna; Setyoadi, Yuris; Nuroso, Harto; Kaltsum, Ummi
Advance Sustainable Science, Engineering and Technology Vol 2, No 2 (2020): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i2.7054

Abstract

The purpose for this study is to convert mechanical vibration into electrical Power. Our target is to provide enough power for 1.2 V rechargeable battery having 160 . The investigation was conducted experimentally in electrical mechanical engineering laboratory. Four piezoelectric was connected to circuits in series mode called 1 module. In order to recharge the battery having voltage 1.2 volt, the measurement of the intensity of the loudspeaker was verified. According to table 1, it was found that at 2  of vibration is best because the value is 1.4 V nearest to 1.2 V. It was found that the mechanical vibration can be converted into electric power. It was found that to recharge 160  having 1.2 V, the 20 modules are needed.
Rain Prediction Using Rule-Based Machine Learning Approach Anwar, Muchamad Taufiq; Nugrohadi, Saptono; Tantriyati, Vita; Windarni, Vikky Aprelia
Advance Sustainable Science, Engineering and Technology Vol 2, No 1 (2020): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i1.6019

Abstract

Rain prediction is an important topic that continues to gain attention throughout the world. The rain has a big impact on various aspects of human life both socially and economically, for example in agriculture, health, transportation, etc. Rain also affects natural disasters such as landslides and floods. The various impact of rain on human life prompts us to build a model to understand and predict rain to provide early warning in various fields/needs such as agriculture, transportation, etc. This research aims to build a rain prediction model using a rule-based Machine Learning approach by utilizing historical meteorological data. The experiment using the J48 method resulted in up to 77.8% accuracy in the training model and gave accurate prediction results of 86% when tested against actual weather data in 2020.
First-Principles Calculation of Laser Crystal Multiplet Levels via Hybridized Density Functional Theory and Configuration Interaction within the OLCAO Method Walker, Benjamin
Advance Sustainable Science, Engineering and Technology Vol 1, No 1 (2019): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v1i1.4875

Abstract

Computation of highly-localized multiplet energy levels of transition metal dopants is essential to the design of materials such as laser host crystals. A purely first-principles density functional theory-configuration interaction (DFT-CI) hybrid computational method has been developed to accurately compute multiplet energy levels for single atoms of carbon, nitrogen, oxygen, sodium, aluminum, silicon, titanium, and chromium. The multiplet energy levels have been computed with close experimental agreement in terms of magnitude and degeneracy, and the method does not depend on empirical information (i.e. Racah parameters). The computed multiplet energy level results are distributed according to term symbols, which are then compared to experimentally-observed multiplet energy levels. The hybrid method consists of analytic computation of two-electron integrals via the DFT-based orthogonalized linear combination of atomic orbitals (OLCAO) method, which are subsequently used as input for the CI-based discrete variational multi-electron (DVME) method to obtain the multiplet energy values.Keywords: exchange-correlation; elecron repulsion integral; multiplet; DVME; OLCAO; density functional theory; configuration interaction
Development of Single Nucleotide Polymorphism (SNP) Markers in Tropical Crops Dwiningsih, Yheni; Rahmaningsih, Miranti; Alkahtani, Jawaher
Advance Sustainable Science, Engineering and Technology Vol 2, No 2 (2020): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i2.6279

Abstract

Understanding genetic diversity, association studies, evolution analysis, quantitative trait loci, marker-assisted selection and genome-wide association in tropical crops are important for improving plant characteristics in order to increase food sustainability in tropical countries. Single nucleotide polymorphism (SNP) marker is becoming the most popular molecular marker for those studies. By using SNP marker, genes associated with important traits can be identified efficiently compared to the other molecular markers. This review describes about how SNP can be discovered in the plant genomes and the application of SNP in plant breeding, especially in tropical crops such as rice, maize, peas, potato, tomato, cassava, taro, etc.   Keywords: food sustainability, plant breeding, SNP marker, tropical crops

Page 2 of 15 | Total Record : 141

 1   2   3   4   5 

Filter by Year

2019 2024


Reset
Filter By Issues
All Issue Vol 6, No 2 (2024): February - April Vol 6, No 1 (2024): November-January Vol 5, No 3 (2023): August-October Vol 5, No 2 (2023): May-July Vol 5, No 1 (2023): November-April Vol 4, No 2 (2022): May-October Vol 4, No 1 (2022) Vol 3, No 2 (2021): May-October Vol 3, No 1 (2021): November-April Vol 2, No 2 (2020): May-October Vol 2, No 1 (2020): November-April Vol 1, No 1 (2019): May-October More Issue