bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Automatic Room Door Lock System Based on Face Recognition
Authors: Yatmono S , Nugraha AC , Khairudin M , Hakim ML , Pradityarahman Y , Mustaqim FA 
Published: December 2022

Abstract
Face recognition is a method for recognizing human faces using a camera. There are various applications of facial recognition technology, one of which is Face Unlock technology on smartphones which functions as a security feature to open smartphone access through the user’s face. In this study, the use of facial recognition technology is used to automatically open the door of the room according to the registered face. The research method used is the waterfall method which has 5 stages. The research stages consist of requirements analysis, design, implementation & unit testing, integration & system testing, and operation & maintenance. This study uses a Raspberry Pi 4 to perform an automation system. The face detection process is based on the YuNet detection model, as well as the face recognition process using the SFace facial recognition model.
The Experimental Investigation of Heating Rate Variant Method to Produce Power Output Generated by Thermoelectric Generator SP1848-SA
Authors: Atmoko N T , Riyadi T W B , Haikal  , Amarulloh  , Wijayanto H L 
Published: December 2022

Abstract
Thermoelectric Generators (TEG) are a type of energy conversion device that uses the Seebeck effect to directly transform heat energy into electrical energy. The source of heat that will be transformed using this technology is one of many elements that determine TEG performance. Through laboratory-scale experimental tests, this research will examine how the performance of TEG in producing electricity and the temperature distribution profile is affected by changing the heating rate. The hot surface of the TEG module is heated by the heating plate, which is thought of as a source of wasted heat produced by the internal combustion engine. There are three heating rates available: low heating rate (0.35 °C/min), middle heating rate (0.93 °C/min), and high heating rate (1.55 °C/min). To collect temperature data in this research using the Arduino microcontroller temperature data logger, temperature measurements were taken on the TEG module’s hot surface (Th), cold surface (Tc), and ambient temperature (Ta). Arduino data logger is used to measure the electrical output performance in the form of net power output (P) generated by the TEG. The outcomes demonstrate that the pace of heating on the hot surface of the TEG module will impact to the surface temperature differential and the efficiency of the TEG module in producing electricity. The efficiency of TEG in producing electricity in the form of an average net power output increases with an increased heating rate.
Re-design AC Power Failure Signal to Minimize False Signal of Emergency Shutdown System for Ethylene Plant
Authors: Ali M , Hermawan Y 
Published: December 2022

Abstract
Chandra Asri, the largest integrated petrochemical company in Indonesia, requires a reliable electrical system to ensure production. Electrical power was supplied by the grid from PT. PLN through a 150 kV system in parallel with captive generation. The electrical system uses the Emergency Shutdown System (ESD) to protect against various disturbances that can cause equipment damage and work accidents. ESD will only work if things happen according to a logic diagram that has been designed according to the needs. One time, there was a power outage due to the active ESD. This causes huge losses for the company. The results of the investigation showed that there were no disturbances to either the grid or the captive generator. It is suspected that there is a false signal that causes the ESD to activate from the DC charger signal. For this reason, efforts are needed to eliminate the possibility of this nuisance signal occurring in the future by redesigning the logic and signal source of AC power failure by considering the existing secondary selective electrical system. Modification of the ESD system is carried out in 5 stages, namely 1) fault analysis, 2) modification of logic diagram design, 3) system development, 4) testing, and 5) evaluation. The results of the redesign decided that modifications should be made to the ESD system and carried out on the next Turn Around Maintenance schedule because this modification requires an offline electrical system. The analysis and simulation results show that the ESD system is safe against similar disturbances. It is hoped that the redesign and modification of the ESD system can prevent signal interference in the AC Power Failure Signal.
Evaluation and Mitigation of Voltage and Current Unbalance at MSTP Undip Jepara
Authors: Denis  , Sinuraya E W , Soemantri M , Rafif I R 
Published: December 2022

Abstract
Marine Science Techno Park (MSTP) Diponegoro University is a central for the application of technology and research in the fisheries and marine sector under the auspices of Diponegoro University. After measuring the electrical power quality parameters, a voltage and current unbalance problem was found on each SDP and MDP at MSTP Undip Jepara Building. The final project is designed to mitigate current and voltage unbalance with a load equalization method in each phase using ETAP 12.6 software. According to the ANSI C84.1-1995 standard, the maximum current unbalance value is 5% and according to the IEEE 45-2002 standard, the maximum voltage unbalance value is 3%. The equalization results show that the load can decrease the value of current unbalance, voltage unbalance, and neutral current that already meets the standards. Based on the evaluation of existing conditions, the current unbalance value on the MDP decreased from 21.522% to 0.419%, the MDP bus voltage unbalance value decreased from 0.280% to 0.015%, and the neutral current decreased from 35.5 ampere to 1 ampere.
Development of Monitoring Device for Battery Charge/Discharge Control as Electrical Energy Storage in Mini-Generating Systems
Authors: Khairunnisa’  , Hartoyo  , Nursusanto U 
Published: December 2022

Abstract
The battery is one of the crucial elements in an electrical system. In electric vehicles, the batteries used are Li-Ion batteries. Most Li-Ion batteries are also reusable. In addition, waste Li-Ion batteries can be used as electrical energy storage devices, such as in mini-power generation systems. With the existence of several power plants that do not use fossil energy as a means of the production process, it will automatically reduce the impact of environmental pollution. This study uses electric vehicle batteries to be used as storage of electrical energy in a mini-generating system. In its implementation, a control monitoring tool is also made and developed to determine the charging and discharging of the battery. This monitoring system is useful for keeping the battery in great condition.
Machine Learning and Deep Learning for Maize Leaf Disease Classification: A Review
Authors: Setiawan W , Rochman E M S , Satoto B D , Rachmad A 
Published: December 2022

Abstract
Image classification of maize disease is an agriculture computer vision application. In general, the application of computer vision uses two methods: machine learning and deep learning. Implementations of machine learning classification cannot stand alone. It needs image processing techniques such as preprocessing, feature extraction, and segmentation. Usually, the features are selected manually. The classification uses k-nearest neighbor, naïve bayes, decision tree, random forest, and support vector machine. On the other side, deep learning is part of machine learning. It is a development of an artificial neural network that performs automatic feature extraction. Deep learning is capable of recognizing large data but requires high-speed computation. This article compare machine learning and deep learning for maize leaf disease classification. There are five research questions: how to get data, how machine learning and deep learning classify images, how the classification result compare both of them and the opportunities & challenges of research on maize leaf disease classification. The number of articles to review was 62, consisting of 18 articles using machine learning, 28 articles applying deep learning, and the rest are supporting articles.
Classification of Salt Quality based on Salt-Forming Composition using Random Forest
Authors: Rochman E M S , Rachmad A , Fatah D A , Setiawan W , Kustiyahningsih Y 
Published: December 2022

AbstractSalt is part of the chemical that can be used and needed by humans in the field of consumption or industry. The formation of salt can be done in several ways, namely with seawater or lake water that is evaporated to produce salt crystals or through the process of mining rock salt. The results of the salt obtained will have a different composition depending on the process of formation, the difference in composition can affect the quality of the salt produced, so not all salt results are suitable for consumption. Generally, the salt quality classification process is still done manually, but this method takes a long time and is less effective. So, to overcome this problem, this research utilizes data mining science in classifying salt quality automatically using the Machine Learning algorithm, namely Random Forest. The data used in this study is a salt dataset with 7 attributes and 4 target classes totaling 349 data where the data is divided into training data and test data using k-fold cross validation with different k-fold values, namely 5-fold, 10-fold, and 20-fold. folds. The test results obtained indicate that the value of k = 10 has the best performance by achieving an AUC value of 96.1%, then for the classification accuracy is 87.7%, f1 score is 87.6%, precision is 87.7% and recall is 87.7%.
Analysis of Clusters Number Effect Based on K-Means Method for Tourist Attractions Segmentation
Authors: Jauhari A , Anamisa D R , Mufarroha F A 
Published: December 2022

Abstract
The current development of tourism potential can have an impact on the implementation of regional autonomy. Madura is an island located at the northern tip of East Java Province, which has tourist attractions spread over four regencies, namely Bangkalan, Sampang, Pamekasan, and Sumenep. However, there are still many attractions that tourists have not touched. Therefore, the Madurese government tries to develop the existing potential. However, the development of this potential has not been carried out evenly by the government. This is due to the lack of grouping of data on the number of tourists, making it difficult for the tourism office to analyze the dominant visitor effect based on the variables that become characteristics in mapping the entrance ticket to increase the potential of tourism objects in Madura. There are 21 tourist objects in Bangkalan. There are several influencing factors to mapping, such as: Gender, age, occupation, education, and marital status. In this study, the admission ticket mapping system applies the K-Means method by dividing tourist objects into three groups including, (C1) high cluster, (C2) medium set, and (C3) low cluster. K-Means functions to map objects by mapping the analysis of data mining applications that can increase the number of tourist visits that impact the introduction of tourist objects and improve the country’s foreign exchange through the development of facilities and infrastructure.
IoT Based Renewable Energy Practicum Kit Design to Support learning and research
Authors: Widiyanto N , Asnawi R 
Published: December 2022

Abstract
In the era of the industrial revolution 4.0, various industries are required to implement internet of things technology, one of which is in the energy industry, so that internet of things technology becomes knowledge that must be mastered by electrical engineering program students. The implementation of internet of things technology in education is the development of a renewable energy practicum kit design to support the learning of renewable energy power plant practices in small-scale field laboratories. The internet of things-based practicum device will make it easier for students or researchers to observe and analyze any changes in data due to changes in weather parameters or changes in load. This practicum kit can be used for the practice and research of Renewable Solar Power plant and Wind Power plant. The observable data are data on the generated side and the usage side. The generated side is in the form of parameters of weather and climate conditions such as light intensity and wind speed, electrical parameters such as current, voltage, power and energy while the usage side is in the form of parameters such as current, voltage, power, energy, power factor and frequency. With the practicum kit with Internet of Things technology, it is hoped that students or a researcher can prove practical results with existing theories quickly and easily.
The powering systems of the CMS tracker for HL-LHC
Authors: Paoletti S. 
Published: December 2022

Abstract
The upgraded CMS tracker for HL-LHC is going to require more than 200 kW power. Two different powering strategies are being adopted for the Inner Tracker and the Outer Tracker. The talk describes the two powering schemes and discusses their intrinsic constrains. Specifications for the powering units and for the cables of the two systems are outlined in combination to preliminary results with prototypes.
Edge-TCT evaluation of high voltage-CMOS test structures with unprecedented breakdown voltage for high radiation tolerance
Authors: Wade B. , Franks M. , Hammerich J. , Karim N. , Powell S. , Vilella E. , Zhang C. 
Published: December 2022

Abstract
This paper presents the edge Transient Current Technique (eTCT) measurements of passive test-structures on the UKRI-MPW0 pixel chip, a 280 µm thick proof-of-concept High Voltage-CMOS (HV-CMOS) device designed and fabricated in the LFoundry 150 nm technology node with a nominal substrate resistivity of 1.9 kΩ cm. Samples were irradiated up to 1 × 1016 1 MeV neq cm−2 with neutrons to observe the change in depletion depth and effective doping concentration with irradiation. A depletion depth of the sensor was found to be ≈50 µm at ≈−400 V at 1 × 1016 1 MeV neq cm−2. A stable damage introduction rate (g

c
) was also calculated to be 0.011 ± 0.002 cm−1.
The Role of Food Waste Management in Green City Development
Authors: Sholihah Salma Mar’atus , Rachma Tia Rizka Nuzula , Khasanah Uswatun 
Published: December 2022

Abstract
Food waste generation is a severe problem in Indonesia today. Providing food waste processing facilities that are evenly distributed and reach service areas is essential. This step can lead to developing green cities that harmonize the circular economy and ecological civil aspects. This study aims to identify the location of food waste processing and the range of services to the service area (community settlements). The method used is spatial analysis. The research location is in Ciamis Regency. The results showed that currently, there are 58 locations spread over 24 sub-districts in Ciamis Regency. Food waste processing facilities have not been spread evenly because three districts still do not have waste processing facilities. The number of existing waste processing facilities is not evenly distributed. If viewed from the coverage of the service area (settlement), the existing food waste processing facilities can only meet 23.58% of the existing residential area. Collaboration between the government, the community, and the private sector is needed to build food waste processing facilities that are evenly distributed and reach all service areas. The concept of a circular economy in the food waste management system must be considered to create sustainable food waste management.
Sustainability of Slum Upgraded Area, Case of Mojosongo, Surakarta, Indonesia
Authors: Sunarti S , Yuliastuti Nany , Purwanto Annisa Amellia , Putri Kharunia 
Published: December 2022

Abstract
Sustainable development is a challenge in urban development, especially in a slum area. Management of slum is not optimal, and several slums become slums again after upgrading due to the absence of environmental management, such as Mojosongo Housing, Surakarta City, Indonesia. This article aims to create policy recommendations for environmental quality improvement in slum. The research uses a quantitative method. Secondary data were obtained from related agencies regarding environmental conditions, population data, and policies related to slum management. Primary data was collected via observation and questionnaires to 30 respondents, consisting of natives and immigrants in Mojosongo Housing. The analysis technique uses a comparative analysis of data and literature review. The results show that social and economic aspects have been proven to cause a decrease in environmental quality. The challenge of slum management in strategic areas to be sustainable is via community empowerment of social and economic aspects of livelihoods. In addition, supervision and control of development for the public interest are recommended to be more effective by applying police power (an instrument of zoning regulation) and a taxation mechanism.
Water Quality Status and Water Quality Index of Selulu Reservoir, East Kalimantan, Indonesia
Authors: Pramaningsih Vita , Purwanto Agus Dwi , Yuliawati Ratna , Kurniawan Deny 
Published: December 2022

Abstract
Selulu Reservoir is located in Waru District, North Panajam Paser Regency. It is one of the tourist destinations in supporting the tourism sector. Land use changes and urbanization have potential impacts on the environment. This study aimed to determine Water Quality Status and Water Quality Index (WQI) in Selulu Reservoir. Hopefully, the result will become the basis for future reservoir management to keep the water quality well. The method in this study used the survey method. These research steps include surveys, water samples, laboratory analysis, and data analysis. Parameters analyzed include temperature, pH, BOD, COD, and DO. The results showed that the reservoir’s water quality in all samples still met the standard, except for pH at point 3. The difference fluctuating value found in COD at point 3, although it still meets the standard. This location is close to residential areas that dump their waste into the reservoir. The Water Quality Status of the reservoir still meets the standards, and WQI is in the excellent category. This is due to the dominant land use of forest and plantations with few settlements around the reservoir, domestic waste is small, and the reservoir capacity is still supportive. Management is needed to maintain reservoir water quality in the future.
Velcro Product Design with Biomimicry Approaches
Authors: Hapsari Filia Nauli , Purwaningsih Ratna , Azzahra Faradhina , Sari Diana Puspita 
Published: December 2022

Abstract
Nature has experienced so many adjustments throughout its life cycle, such as evolutions, climate change, and natural selection, and it still manages to exist today. Therefore, it will be an excellent example to be imitated into a product or process since it is most likely sustainable and comply human needs. Imitating nature’s process, design, or system is called Biomimicry Approach. In this research, researchers develop a new design for Velcro. Velcro is a fastener that consists of 2 parts: hook and loop. Both parts are made of nylon thread and will be fastened together. Current Velcro products are not durable because of the design and also materials. It can be easily wrinkled and damage the fabric it is glued. This study aims to develop Velcro design to have a sustainable design using the technical steps in each biomimicry design spiral methodology stage. Researchers used Biomimicry Approach to find the best development for the Velcro product and generate a conceptual design for Velcro. The natural model used in the conceptual design was a Lentinula edodes (shitake mushroom). The design assessment indicator used were von mises stress, safety factory, and displacement. The results showed that the development design of Velcro with the Biomimicry Design Spiral Approach was acceptable and safe.
Potential Distribution of Skipjack Tuna Using MODIS Satellite Imagery in The Southern Waters of West Java - Banten
Authors: Suhermat Mamat , Dimyati Muhammad , Supriatna Supriatna , Martono  
Published: December 2022

Abstract
The West Java southern waters - Banten is among the skipjack tuna Katsiuwonus Pelamis distribution areas. It is well known that the skipjack tuna potential distribution is influenced by the environmental circumstances of the waters. This study was performed to establish the potential distribution of skipjack tuna in the West Java southern waters– Banten to support the potential management program of marine fishery resources. The data used consisted of skipjack tuna catch position, sea surface temperature, and chlorophyll-a concentrations from June 2019 to August 2019. Descriptive analysis and maximum entropy (maxent) model were applied to analyze skipjack tuna’s potential distribution. The results revealed that the potential area of skipjack tuna is scattered in parts of the southern waters of West Java - Banten, with a validation test of the model performance of 0.92 (excellent).
The Performance of Companies in Assisting the Environment By Issuing Green Bond
Authors: Tua Pandior Benget Namora , Rokhim Rofikoh 
Published: December 2022

Abstract
Besides as well as a way for companies to raise money and for investors to differentiate their portfolios, as should be one of the purposes of the issuance of Green Bonds to mitigate a decrease in carbon emissions does not accompany climate change, the expansion in the issuance of Green Bonds. The emergence of green bonds evidences investor interest in financial and environmental instruments. The business must continue to operate well to satisfy investor expectations. Using the Purposive Sampling technique, this study examines 89 companies for the impact of several financial parameters on the success of businesses that issue green bonds using panel data regression and multiple linear regression techniques. The findings demonstrated that the factors Equity Multiplier, Total Asset Turnover, and Profit Margin significantly impacted the company’s performance as measured by the ROE variable. The findings also demonstrate that issuers of Green Bonds frequently use their business activities to boost their performance.
Community Resilient from Anak Krakatau Eruption: Lesson Learn from The Tale of Lampung Submerged to Increase Environmental Awareness
Authors: Firdaus Azhar , Afiff Suraya Abdulwahab , Herdiansyah  
Published: December 2022

Abstract
Natural disasters in Indonesia have a high frequency because a whole land and sea in Indonesia be hemmed in tectonic and volcanic plates. Some natural disasters are not caused by those plates, such as landslides, floods, hurricanes, etcetera. In the research location (beginning of 2018), there was a natural disaster called the silent tsunami caused by landslides at Mount Anak Krakatau in the middle of the ocean. In large quantities, these landslides produced high waves in the coastal area in Lampung and Banten, and there was no early warning system for this silent tsunami. The article aims to study the local knowledge related to the Anak Krakatau Volcano eruption in the coastal around it. Also, the article will present the history of Anak Krakatau volcanoes and the lessons from communities within the local knowledge. For example, it is from the Tale of Lampung Submerged as secondary data for this article. This tale will be analyzed how this tale could understand the local knowledge in terms of the Mount Krakatau eruption. This local knowledge will help the communities’ strategies to face natural disasters and how the recovery process is carried out to increase environmental awareness.