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Mega Novita
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asset@upgris.ac.id
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Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
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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 7 Documents
 1 
Search results for , issue "Vol 2, No 1 (2020): November-April" : 7 Documents clear
Management of Coastal Areas with Sustainable Marine Ecotourism Development in Purworejo Regency, Central Java, Indonesia Hidajat, Wahju Krisna; Anggoro, Sutrisno; Najib, Najib
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.v2i1.6020

Abstract

The beach is a favorite tourist destination for the Indonesian people. As Indonesia is blessed with many beaches which attracts people to visit. Indonesians usually come to the beach in the holiday to fish, see beautiful scenery, and play around. Central Java Province in Indonesia has a beach cluster situated to the north and south of the Java Island. Jatimalang Beach is the south coast of Java which has excellent natural beauty, which is located in Purworejo Regency. This research is focused on the beach facilities and infrastructures, tourist’s ecotourism awareness, and environmental sustainability management of the Jatimalang Beach Purworejo. The study was carried out in November till December 2019 by using the qualitative research method. Information discovered during fieldwork are used to direct data collection. Qualitative researchers, are closely engaging with the environment being examined. This work was conducted through observations and interviews with tourist at Jatimalang Beach, as well as a literature review. The results showed that the facilities and infrastructure found in Jatimalang Beach were the presence of lifesavers, waste, parking lots, freshwater swimming pools for children, toilets, electrical facilities, and worship places. In addition, tourists are often willing to preserve nature and the sustainability of marine tourism on the Jatimalang Beach, however many of them do not understand the importance of ecotourism and need to be educated again.
The Analysis of Occupational Safety and Health of the Batik Industry Junaidi, Mar’atul Sholihah; Fatoni, Rois; Fatimah, Siti
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.v2i1.6016

Abstract

Occupational safety and health  is an important issue in an operational process, both in traditional and modern sectors. Prevention of work accidents can be done by knowing the risks that exist in a process, one of them is through Hazard Identification, Risk Assessment, and Risk Control (HIRARC) methods. In the batik industry, batik makers come into direct contact with materials containing hazardous chemicals and uncomfortable work positions. In addition, the craftsmen also do not care for the environment and do not use personal protective equipment. The purpose of this study is to determine the factors of occupational safety and health. This purpose also to use of personal protective equipment while working and identify potential hazards in the batik production process in the batik industry of Sekar Arum and Mahkota Laweyan. Factors causing occupational accidents include an unsafe batik environment, unsafe equipment, containing hazardous substances and unsafe work attitudes. In addition, the lack of orderly use of personal protective equipment in the form of boots, gloves and aprons. Based on the findings of the hazard, it is known that there are hazards with low category namely in the nyanting room, washing and drying rooms, and the waste management room with hazard percentage is 10,26 %,  medium category namely in the stamp room with hazard percentage is 30,77 % and high category namely the coloring room with hazard percentage is 38,46 %.
Plastic Waste Recycle for Industrial Haryono, Muhammad Budi; Utami, Wikan Budi
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.v2i1.6211

Abstract

The high-income countries are leading to higher consumption of plastic, despite prominent contribution to the global problem of plastic pollution. The high quantities of plastic wastes are extremely threatening to harm the environment and inhabitants due to mismanagement such as ingested in the fish and also harmful to human health (cancer is a major disease) if such consuming a fish. This review paper explored a solution to treating plastic waste to improve the sustainability of the environment. The use of recycled plastic wastes as a component has been found to be the most beneficial as it can be used to replace all solid components.
The Application of Mahagony Bark (Swietenia Mahagony L.) for Natural Dyeing lutfi, Immas; Fatoni, Rois; Fatimah, Siti
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.v2i1.6017

Abstract

Recently many batik industries owner have switched to using natural dyes because synthetic dyes in the long time have a negative impact on the environment. Natural dyes that are widely used are mahogany (Swietenia Mahagony L.) bark dyes. In the process of coloring batik fabric, there is stage of fixation. Fixation is the stage of binding the color with the fixator. There are three types of fixators used, namely alum (Al2(SO4)3.12H2O), calcium oxide (CaO) and ferrous sulphate (FeSO4) with certain concentrations. The owner of batik industries don't know yet the concentration of a strong and optimal fixator for binding natural dyes in batik fabric. The purpose of this study is to determine the type of strong fixator and optimal concentration of fixator for binding natural mahogany dyes on batik fabric. The owner of batik industries usually use an estimated concentration of 30 g / L to 100 g / L. In this study, the variables are 30 g / L, 60 g / L and 90 g / L in each type of fixator to test the color aging value. and color fastness to rub wet and dry. Judging from the value of R% (color aging) and color fastness test against wet and dry rubbing, it can be concluded that alum and calcium oxide are strong fixators that used with mahogany dyes and the most optimal concentration of alum and calcium oxide is 60 g / L. 
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
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. 
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.

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