bluuebunny/crossref_metadata_2025 huggingface dataset:
Small-scale ORC-based unit for domestic micro-cogeneration operating in the temperature range of the solar thermal flat panels
Authors: Fatigati F , Bartolomeo M Di , Vittorini D , Coletta A , Carapellucci R , Cipollone R
Published: December 2022

CO2 emissions related to the energy demand in commercial and residential buildings account for over 15% of worldwide greenhouse gases emissions. This issue requires the development of new solutions, technologies, and energy management strategies to reduce the environmental impact of this sector. Simultaneous heat and power production, namely cogeneration, is a proven method for this purpose. Among the different power systems, Organic Rankine Cycle (ORC) plants allow the production of mechanical and electric energy using hot sources at low temperature levels. This feature allows to combine this technology with solar collectors, making it possible to exploit the thermal energy exceeding the thermal needs when the solar irradiation is high. In this paper, an experimental characterization of a Solar Organic Rankine Cycle (SORC) is presented. The hot source of the power plant is reproduced by water heated up to 120 °C by two 12 kW electric resistances and stored in a buffer tank with a capacity of 200 L. The 1 kW ORC unit is equipped with a scroll volumetric expander operating off-grid. The main control variable of the unit is the pump speed which is varied in each operating condition to guarantee a superheating degree at the expander inlet. Since the variability of the solar source is a critical issue in these applications, off-design operating conditions have been tested, showing the capability of the plant to be also operated far from the design point. The maximum efficiency of the unit reached 4.7 % while the highest net power was 400 W. A further test conducted to evaluate the transient performances of the unit demonstrated its small inertia and the capability of the expander to produce power right after the unit activation.
Biomass oxy-CO2 gasification process for bio-methane production: an experimental and numerical activity
Authors: Gabbrielli Roberto , Barontini Federica , Frigo Stefano , Flori Giacomo , Fratianni Nicola , Sica Pietro
Published: December 2022

Biomass gasification is a thermochemical process in which the biomass is converted into a mixture of gases, called syngas, commonly utilised in thermal machines to produce electricity and heat. In the present research activity, the conventional air-gasification in downdraft gasifier is replaced by oxy-CO2 gasification technology. This strategy allows to obtain a nitrogen-free syngas, mainly composed by CO, H2, CO2 and CH4, which can be used into the synthesis of various bio-fuels like methanol or synthetic natural gas (SNG). Carbon dioxide is utilized as gasifying agent together with oxygen to mitigate the reactivity of the latter, which can lead to excessive reaction temperatures. In particular, the present work shows the preliminary results of an experimental campaign carried on utilizing a small scale downdraft gasifier (max thermal power of roughly 100 kW) fed with wood pellet and using a mixture of oxygen and CO2 as gasification agent. The experimental results have been utilized to calibrate a pseudo-kinetic model of the oxy-CO2 gasification process, implemented in Aspen Plus environment. To analyse the possibility to transform the produced syngas into methane, an additional numerical model of a methanation plant was then utilised. As a whole, the numerical analysis confirms its usefulness in predicting the performance of the gasifier, which can reach a cold gas efficiency of around 70%, while the methanation plant can achieve a production of roughly 20 kg of methane per 100 kg of gasified wood.
Three dimensional unsteady analysis of a miniaturized pressure probe for turbocharger applications
Authors: Bontempo R , Marzo E M Di , Manna M , Napolitano M
Published: December 2022

Downsizing and turbocharging are nowadays widely spread techniques in automotive small-size internal combustion engines aimed at reducing the specific fuel consumption without affecting the power output. Due to the device small dimensions and to the high temperature of the exhaust-gases feeding the turbine, a relevant amount of heat is customarily exchanged between the turbine and the compressor so that a classical adiabatic approach could lead to an inaccurate estimation of the performance. This paper preliminary investigates the feasibility of an experimental procedure aimed at computing the exchanged work as variation of the angular momentum via a three-hole probe located at the impeller outlet. Because of the very reduced machine dimensions, torque measurements could be difficult, as the intrusive nature of the measurement could significantly affect the accuracy of the collected data. For this reason, the influence of the probe finite-size onto the flow field is numerically analysed solving the Unsteady Reynolds-Averaged Navier Stokes equations with and without the probe installed at the diffuser inlet. The equations are closed via the k − ω SST turbulence model, while a density-based commercial CFD package is used to integrate the governing equation. Finally, the pressure distribution in the azimuthal direction is analysed to assess the probe intrusive effects which, in the proposed case, result in a 0.47% (resp. 0.69%) difference in the specific work when a miniaturized probe with a diameter of 1mm (resp. 1.5 mm) is employed.
How incoming turbulence affects wake recovery of an NREL-5MW wind turbine
Authors: Cherubini Stefania , Cillis Giovanni De , Semeraro Onofrio , Leonardi Stefano , Palma Pietro De
Published: December 2022

The present work aims at investigating the effect of inflow turbulence on the wake recovery of the NREL-5MW reference wind turbine. The wake produced by a utility-scale wind turbine invested by both a laminar uniform inflow and a turbulent flow, is analyzed by means of proper-orthogonal decomposition (POD). The considered turbine is the NREL-5MW at tip-speed ratio λ = 7 and a diameter-based Reynolds number of the order 108. The flow is simulated through Large Eddy Simulation, where the forces exerted by the blades are modeled using the Actuator Line Method, whereas tower and nacelle are modeled employing the immersed boundary method. The main flow structures identified by modal decomposition in both of the considered cases are compared, and some differences emerge, which can be of great importance for the formulation of a reduced-order model. Among the most energetic modes, a high-frequency mode directly related to the tip vortices is found only in the flow case with laminar inflow. In the presence of inflow turbulence, the most energetic modes are all composed by large-scale low-frequency structures filling the whole domain. We evaluate the contribution of each POD mode to wake recovery reconstructing the total flux of mean kinetic energy due to turbulent fluctuations on a closed surface enclosing the wake of the wind turbine. In the laminar-inflow case, we have found that the POD modes related to the tip and root vortices do not contribute positively to the wake recovery, but they rather sustains the velocity gradient, as already established by Lignarolo et al. (2015) for a wind-turbine model. Whereas, in the turbulent-inflow case, all the most energetic modes contribute positively to wake recovery. These results clearly indicate that inflow turbulence should be taken into account for accurately estimate the entrainment process in the wake of wind turbines.

NREL 5MW wind turbine, POD, laminar or turbulent inflow, wake recovery, turbulent kinetic energy entrainment.
Implementation of IMU sensor for Fall Detection in Dementia Syndrome Patients with Location Notification System
Authors: Yulastri  , Madona E , Ulfa S , Nasution A
Published: December 2022

Monitoring tool for patients at risk of dementia has been made using an IMU sensor with Location Notification System. The aim of this research is to design and manufacture a tool using the IMU sensor to identify and determine the characteristics of a person’s condition in falling for patients at risk of dementia. The research method starts from making prototypes, and measuring system performance. The results of the measurement of system performance are shown by the IMU sensor readings with an average x angle value of 175.74, angular velocity x, and angular acceleration x an average of 175.70 and 0.052 for forward fall activities. For activities falling backwards the average x angle value is 27.97, the angular velocity x, and the angular acceleration x averages 28.12 and -0.25. For activities falling to the right the average x angle value is 85.07, the angular velocity x, and the angular acceleration x averages 37.31 and 79.59. As for the activity falling to the left, the average x angle value is 32.91, the angular velocity x, and the angular acceleration x averages 32.54 and 0.62. Overall the tool can function well. Suggestions for further research, methods can be added to predict the position of the nearest hospital and police station based on the Internet of Things.
Analysis of the potential of renewable energy in fulfilling home electrical loads and charging systems for electric motorcycles in Yogyakarta
Authors: Adiyasa I W , Wijaya F D , Suteja R P
Published: December 2022

The implementation of renewable energy sources such as photovoltaic (PV) and wind turbine (WT) is widely applied. Indonesia is a country located in the tropics, with the potential for renewable energy sources such as solar and wind. The number of potential sources of renewable energy has an impact on the amount of energy that can be produced using PV and WT. Data on potential renewable energy sources is obtained from the NASA Prediction of Worldwide Energy Resource (POWER) database and is used for analysis of electrical energy that can be produced. The PV and WT power plants used in this analysis use a power range of 600 - 1200 Wp for PV and 1 - 3 kW for WT. The electrical energy that has been produced will be stored in energy storage in the form of a battery with a capacity of 1 kWh. The test analysis uses 6 scenarios of the number of PV, WT and batteries using a house load and charging an electric motorcycle.
Simulation and Modelling Queue of The Ship Betel Stacking Using The Anylogic: Case Study at Port of PT Pelabuhan Indonesia (Pelindo) Sunda Kelapa Region 2
Authors: Verawati K , Hadi W , Hidayatullah F N , Wahyuni A P D
Published: December 2022

In the midst of the development of the industrial era 4.0 to 5.0, technology plays an important role in various sectors, one of which is transportation. This concept uses science-based Internet of Things, Artificial Intelligence and Robots. The use of applications and other software is the main method for humans to carry out their daily lives, including in the transportation industry, one of which is the Port. The purpose of this paper is to create a ship queue simulation model with a betel stacking system at PT Pelabuhan Sunda Kelapa Region 2. The methodology used for modeling this queue simulation is Anylogic by conducting simulation experiments. simulation model line, the Company can determine the ship queue decision by using betel stacking. The existence of this anylogic system is expected to be able to solve various problems, create many innovations and be able to improve the quality of human resources in various activities, especially in the transportation industry sector which continues to transform until now.
ANN Activation Function Comparative Study for Sinusoidal Data
Authors: Putra Dwi Sudarno , Azmi Meri , Muslikhin  , Purwanto Wawan
Published: December 2022

An artificial neural network (ANN) has neurons that are interconnected. Inside the neuron, there is an activation function that determines the value issued by the neuron. There are several types of activation functions. The choice of activation function will determine the result of an ANN. This paper describes the performance comparison of several activation functions used in an ANN in processing sinusoidal signals. There are three types of activation functions being compared, those are Sigmoid, Tansig, and ReLU. The sinusoidal dataset has come from simulation data of the PMSM FOC control process. The results indicated that the Tansig activation function is the best choice for sinusoid data.
A Study of the Process Planning and NC Programming for Production with MTC
Authors: Wang Zhun
Published: December 2022

This paper presents a practical method for the PP (process planning) and its NC programming to the production with MTC. Firstly, the principles and rules involved in the design of the PP for production with MTC (mill-turn centre) are summarized out; secondly, the NC program is interactively created by calling the fabrication information given in the PP; lastly, the verification and optimum of the NC codes corresponding with the PP can be carried out in the NVMS (NC verification manufacturing system) with an MTC. These principles and approaches are universal and can be used to shorten the time to market for modern manufacturing corporations.
Research on Rotor Position Estimation of Permanent Magnet Synchronous Motor Based on Hall Installation Deviation
Authors: Suicheng Zeng , Hanbing Dan , Guo Xu , Yao Sun , Mei Su
Published: December 2022

Permanent magnet synchronous motors (PMSM) have the preponderance of high-power density, high reliability and small volume, which are diffusely used in industrial electric vehicle field. Permanent magnet synchronous motor vector control needs correct speed information feedback. Compared to high precision encoders and speed sensorless solutions, PMSM with hall sensors are an optimistic consideration of system cost and control performance. Nevertheless, hall sensors have poor position resolution and are prone to mounting deviations. Aiming at these problems, this paper proposes a position and velocity observer scheme with an adaptive vectorial filter. Simulations verify the estimation accuracy and superiority of the proposed method compared with the previous average velocity method.
Research on intelligent storage system for DC control and protection system card based on FERET and RFID
Authors: Yang Ruosong , Zhang Xiaoyue , Liu Jiawei , Fu Junxiong
Published: December 2022

In view of the current state grid company’s board card spare parts are in a state of extensive management, no hierarchical and classified management, and problems such as affecting the performance indicators and circulation of the DC control and protection system boards. In this paper, a special intelligent storage system for DC control and protection system based on face recognition technology (FERET) and radio frequency identification technology (RFID) is studied. Firstly, analyzing the technical principle of the intelligent storage system. Secondly, the warehouse in/out management module based on FERET and the automatic card warehouse in/out module based on RFID are designed. Then, the structural framework and workflow of the intelligent warehousing system are established. Finally, a special intelligent storage system for DC control and protection system card is designed, which has the characteristics of leading technology, stable performance, reliable quality, simplicity, and practicality.
Fuzzy PID Speed Controller of DC Motor Based on MATLAB
Authors: Li Ruifeng , Gong Peifen
Published: December 2022

Because of its few of components and low price, DC motors frequently serve in the field of automatic control. The control accuracy and stability of the DC motor depend on the parameters of the control system, so it is of great significance to design the controller and optimize the control parameters. This paper presents a Fuzzy PID control framework, which successfully works on the performance of DC motor. The controller is based on the basic rules of fuzzy control theory and uses MATLAB simulation to realize its function. To look at the control precision of Fuzzy PID and the dependability of motor activity, Fuzzy PID algorithm and PID algorithm are simulated in MATLAB programming, separately. The simulation data show that the control effect of Fuzzy PID controllor is better than PID controllor in the DC motor control system, so Fuzzy PID controllor is worth popularizing.
Simulation study of a 50 ps panel TOF PET imager
Authors: Pestotnik R. , Razdevšek G. , Dolenec R. , El Fakhri G. , Križan P. , Majewski S. , Studen A. , Korpar S.
Published: December 2022

Positron emission tomography (PET) is one of the most important diagnostic tools in medicine, providing three-dimensional imaging of functional processes in the body. The method is based on detecting two gamma rays originating from the point of annihilation of the positron emitted by a radio-labeled agent and used to follow the human’s physiological processes. In Time-Of-Flight PET, gamma rays’ arrival time is measured in addition to their position. The coincidence timing resolution (CTR) of state-of-the-art scanners is between 200 ps and 500 ps FWHM, which can significantly improve the contrast in imaging large objects. However, increasing the sensitivity of the next-generation PET scanners requires increasing the imaging device’s timing accuracy. Using the latest advances, a multichannel system with improved CTR is becoming technologically possible. Generally, 3D images from limited angle PET scanners are distorted and have artifacts. Fortunately, with improving timing resolution of PET gamma detectors, artifact-free images can be obtained even by a very simplified detector. We were studying a simple panel PET detector consisting of gamma detectors with 50 ps coincidence timing resolution. With this new concept, the price of PET scanners for imaging single or multiple organs can be drastically decreased. We evaluated different panel detector arrangements by imaging different phantoms. The reconstructed images were compared with those obtained with the Siemens Biograph Vision, a state-of-the-art clinical PET scanner. We found comparable image quality parameters of both systems when the CTR approaches 50 ps FWHM and that good CTR can partially compensate for smaller gamma detection efficiency.
Development and prototyping of the Versatile Link + optical fibre cabling plants for the HL-LHC upgrades of the ATLAS and CMS experiments at CERN
Authors: Meroli S. , Blanc J. , Di Francesca D. , Ricci D. , Slater B. , Toccafondo I. , Vasey F.
Published: December 2022

With the foreseen upgrades in HL-LHC, the Versatile Link Plus project was launched to develop the optical fibre links between the experiments and the counting room, in order to reach higher data rates. New fibre cabling plants have been designed in this framework for tight integration in experiment front ends and operation at higher radiation doses. Those cabling plants make use of novel multi-fibre assemblies that are tailored to the specific experiment requirements and conditions. This paper describes the design decisions that have led to the final production-ready prototypes and the related implementation of a large-scale procurement framework.
ATLAS ITk strip sensor quality control procedures and testing site qualification
Authors: Mikestikova M. , Affolder A. , Affolder K. , Beaupre S. , Beck G.A. , Bernabeu J. , Bevan A.J. , Dawson I. , Dowling A. , Fadeyev V. , Federicova P. , Fernandez-Tejero J. , Fournier A. , Gignac M. , Greig G. , Gunnell J. , Hara K. , Hirose S. , Hommels B. , Ishii T. , Jessiman C. , Johnson J. , Jones D. , Kachiguin S. , Kang N. , Keller J. , Klein C. , Koffas T. , Kroll J. , Kvasnicka J. , Lacasta C. , Latonova V. , Martinez-McKinney F. , Miyagawa P.S. , Montalbano A. , Nakamura K. , Poley L. , Rousso D. , Shah A. , Slavikova E.A. , Solaz C. , Soldevila U. , Staats E. , Stack T.L. , Stelzer B. , Tuma P. , Ullan M. , Unno Y. , Yarwick J. , Zenz S.C.
Published: December 2022

The high-luminosity upgrade of the Large Hadron Collider, scheduled to become operational in 2029, requires the replacement of the ATLAS Inner Detector with a new all-silicon Inner Tracker. Radiation hard n+-in-p micro-strip silicon sensors were developed by the ATLAS Inner Tracker strip collaboration and are produced by Hamamatsu Photonics K.K. Production of the total amount of 22000 strip sensors has started in 2020 and will continue until 2025. The ATLAS strip sensor collaboration has the responsibility to monitor the quality of the fabricated devices by performing detailed measurements of individual sensor characteristics and by comparing the obtained results with the tests done by the manufacturer. Dedicated Quality Control procedures were developed to check whether the delivered large-format sensors adhere to the ATLAS specifications. The institutes performing the Quality Control testing of the pre-production and production ATLAS ITk strip sensors had to initially be qualified for multiple high-throughput tests by successfully completing the Site Qualification process. The Quality Control procedures and the qualification process are described in this paper.
Development of a high-rate scalable readout system for gaseous detectors
Authors: Scharenberg L. , Bortfeldt J. , Brunbauer F. , Christensen M.J. , Desch K. , Flöthner K. , Garcia F. , Janssens D. , Kaminski J. , Lisowska M. , Lupberger M. , Muller H. , Oliveri E. , Orlandini G. , Pfeiffer D. , Ropelewski L. , Rusu A. , Samarati J. , Schwäbig P. , van Stenis M. , Veenhof R.
Published: December 2022

The RD51 collaboration developed the Scalable Readout System (SRS) as part of its R&D activities on Micro-Pattern Gaseous Detectors. This common multi-purpose readout system allows to read out small R&D detectors (0.2k channels) up to mid-sized experiments with multiple detectors (2.5k to 5k channels). To cope with increased demands on detectors, electronics and readout speed, a new front-end ASIC—the VMM3a—was integrated into the SRS. This led to the development of a scalable, self-triggered high-rate readout system that provides energy, space and time information of the interacting particles at the same time.
A new limited-angle CT reconstruction algorithm based on the local anisotropic total variation restoration of continuity
Authors: Xiao Yu , Zhong Wang , Li Yongcun , Hu Xiaofang , Xu Feng
Published: December 2022

A new limited-angle computed tomography(CT) reconstruction
algorithm based on local detail information restoration in the CT
image projection domain was proposed in this paper. The lost
projection information could be repaired with the new algorithm
called local anisotropic total variation repair method of sinogram
(LATV). According to the continuity of local gradient in sinogram,
local high frequency characteristics can be improved which are
blurred by conventional TVM. A series of numerical reconstruction
experiments were conducted to validate the new algorithm. The
overall quality of images reconstructed by new algorithm was better
than conventional TVM algorithm when quantitatively evaluated. Then,
a local region with rich details was selected in order to evaluate
the reconstruction effect of the internal details. From the
perspective of three image quality evaluation parameters, it was
shown that the local high frequency details were well
repaired. Finally, the reconstruction quality was evaluated by
actual CT experimental data. The new method also performed better
than conventional method. Therefore, the new LATV algorithm proposed
in this paper may be a new method suitable for limited-angle CT
reconstruction problems.
Carbon Emission Assessment of Bioplastics from Durian Peel
Authors: Mongkoldhumrongkul Krittaphas , Sukkanta Phatcharapron
Published: December 2022

Plastic is a product widely used daily and contributes to huge waste, which can cause a potential environmental impact worldwide. The production of bioplastics can lessen plastic waste while also benefiting the environment. There are still few studies examining the influence of bioplastics in different contexts. This investigation assesses the cradle-to-gate life cycle of durian peel-derived bioplastics while considering their potential to contribute to global warming as measured by their carbon dioxide equivalent (CO2eq). The steps in the evaluation process were acquiring raw materials, extracting cellulose powder, synthesizing carboxymethyl cellulose, and making carboxymethyl cellulose film. Based on the results, the entire production of bioplastics emits 76.339 kgCO2eq, and the extraction process emits the maximum CO2eq. Bioplastic manufacturing can minimize global warming by reducing humidity before the extraction process.
Sustainable Forest Governance: A New Policy Strategy in Handling Forest Fires in Jambi Province
Authors: Sundari Cici , Purnomo Eko Priyo , Mutiarin Dyah , Adrian Maisarah Mitra , Suling Cindy Fabrizia , Pratama Irfandi
Published: December 2022

Jambi Province is one of the areas most prone to forest destruction in Indonesia. The case of forest fires is an annual disaster that regularly occurs in Indonesia, including one in Jambi province. The problem of forest fires often occurs in Indonesia, whether human activities cause it or are caused by a long dry season. This study analyzes Sustainable Forest Governance from the point of view of the New Policy Strategy in Handling Forest Fires in Jambi Province. This research focuses on Jambi Province, one of Indonesia’s regions with the largest forest. This research method is qualitative exploratory with secondary data carried out to describe and describe the research. Data were collected from field interviews, online media, and related literature related to the research topic. The analysis technique uses the NVivo 12 plus data processing application, a qualitative document analysis tool with the help of a computer. Equipment. They are easy to use and can word-process and explore word frequency, attributes, and cases from big data. They also generate factor or sub-factor categories in journalistic and research applications related to the research topic. The study results show that the government’s program in making new policy strategies for handling forest fires in the province has several indicators, then the cooperation of actors in forest fire prevention in the region.
Spatial and Prevalence Analysis of Behavioral Non-Communicable Diseases on Soppeng Regency: Results of Health Survey 2016-2018
Authors: Basri  , Tahara Tasrifin , Ridjal Andi Tilka Muftiah
Published: December 2022

Behavioral non-communicable disease as a chronic disease is a health challenge in the 21st century because it is a major contributor to global mortality. Soppeng Regency, one of the regencies in the South Sulawesi region, faces the problem of the high prevalence of behavioral non-communicable diseases (NCDs) in the future. The study analyzes the spatial distribution and prevalence of behavioral NCDs in the Soppeng Regency. Primary data was obtained from the compilation of monthly reports from 17 public health centers in the administrative area of the Soppeng district. Meanwhile, spatial data was obtained from Soppeng district spatial plans (RTRW) maps, BPS of Soppeng district, RBI map, and the National DEM Image. Hypertension and diabetes data sets were applied to the prevalence rate formula and analyzed using Microsoft Office and SPSS ver. 21.0. The results showed the fifth highest prevalence rate of hypertension 2016-2018 occurred in Barang village, Jampu village, Marioriaja village, Maccile village, and Kessing village by an average of 19.19%, 3.55%, 2.73%, 6.24%, and 3.78% respectively. Meanwhile, distribution of the prevalence rate of diabetes in 2016-2018 was high in the five villages of Maccile (6.24%), Barang (5.27%), Botto (4.93%), Lemba (4.35%), and Soga (1.08%), respectively. Analysis showed variations in levels between sub-districts in the two types of behavioral non-communicable diseases.
The Strategy of Organic Farming Development for Environment, Social, and Economic Improvement from Farmers Perspective
Authors: Octorayanti M. , Mizuno K. , Setiawati S.
Published: December 2022

The increase in the sustainability of environmental and health awareness is a huge driving factor for the increasing demand of organic products in various countries. Thus, many countries are competing to expand organic agricultural land to accommodate market needs. However, in Indonesia, the practice of organic farming is relatively low, as indicated by the land conversion for organic production is relatively small compared to several countries in Southeast Asia. The key factors and challenges for organic farming development are explored, and an effective strategy is formulated as the main objective of this study. This study deals with a case study in Bandung Regency as one of the main agricultural producer areas in Java. A qualitative approach is employed to ensure in-depth information and analysis. This study utilized SWOT (Strength Weakness Opportunity Threat) to formulate the strategy for the development of organic farming to improve the environment, economic and social aspects. The interview and survey were conducted with a random sampling with a total of 30 respondents from a total of 87 population organic farmers. The result of the SWOT analysis shows that the S-W value is -0.29 and the O-P value is 0.04. The analysis result shown in the cartesian coordinate confirms that the most relevant strategy for Organic Agriculture Development is to enhance guidance and assistance from the government and private parties related to funding and certification, as well as the establishment of a reliable quality assurance system with the enforcement of regulations or policies related to organic farming.
Ensuring Environmental Sustainability of Infrastructure Projects: A Perspective Review in A Case Of Indonesia
Authors: Kusmayadi Alti , Koestoer Raldi Hendro
Published: December 2022

Infrastructure is crucial to the development process and is intimately related to productivity, economic growth, and well-being. Infrastructure also plays a vital role in environmental contamination and degradation which leads to high financial cost to recover. This article aims to highlight how a green bond is a potential tool to be used as an alternative source of financing for infrastructure development which can also ensure environmental sustainability in Indonesia. Using a literature review from various available sources, green bond positively impacts environmental sustainability. Indonesia is on the right track in directing future development to maintain the balance between economic growth and environmental sustainability. The green bond ecosystem also has been established to support the growing market. The green bond is a promising financing tool in Indonesia due to its attention to the environmental aspect, the established framework and regulation, and its opportunity to finance potential green projects available in Indonesia.
Determining A Model for Municipal Solid Waste Treatment using Mixture Design
Authors: Meidiana Christia , Gosh Ratan Kumar , Sari Kartika Eka
Published: December 2022

The purpose of the study is to propose an optimum combination of waste management to reduce GHG emissions while ensuring feasible economic benefits through the calculation of BCR value using the MD technique of A Simplex Centroid Design consisting of three possible waste treatments, which are composting, reuse, and recycling. The recovery factor of each waste treatment component was analyzed to calculate the GHG emission. The result showed that the MD approach to formulating the possible mixture components of MSW treatment is feasible. Referring to the objective of each response variable, which is to produce the least GHG emission and achieve the highest BCR value, the best value of each mixture component is 95.36 m3/day for composting, 322.29 m3/day for recycling, and 2.35 m3/day for reuse. Therefore, this proposed combination could produce the most negligible GHG emission by 0.029 Gg CO2eq /day while achieving the feasible BCR value of 1.36.
Study of The Efficiency of A Drip Irrigation System Model Based on the Internet of Things (IoT)
Authors: Noerhayati Eko , Tasarlik Difadila Alif , Rahmawati Anita , Norma Soraya
Published: December 2022

Farmers have used drip irrigation technology extensively, particularly for fruit and vegetable crops. However, investigations on the effectiveness of this irrigation system have not been widely conducted. IoT (Internet of Things)-based drip irrigation is a drip irrigation network design that can be employed automatically with remote control. The effectiveness of the IoT-based drip irrigation system model will therefore be investigated in this study using two distinct types of pipes with various widths. The study’s goal was to evaluate the effectiveness of an IoT-based drip irrigation system model with various diameters. Direct observation was employed as the study method in the lab, and the data collected were examined using the Minitab 18 program to get the ANOVA regression value. The findings indicated that the average headloss on ½-inch pipes was 0.7657 m, and the average headloss on 1-inch pipes was 0.6126787 m, indicating that the headloss decreased with increasing pipe diameter. On a 1-inch pipe, the correlation between discharge and headloss is 0.998. It is envisaged that a productive drip irrigation system can assist farmers in resolving infrastructural issues in water-scarce regions.
Facies, Facies Association, and Depositional Environment of The Klapanunggal Formation, Klapanunggal District, West Java
Authors: Rinikasari Desy , Aditiyo Rezky , Yumnanisa Khalisha Shafa , Zahran Natasya Alia
Published: December 2022

The research focuses on the Klapanunggal Formation, composed of limestone in the West Java Basin, specifically in the Klapanunggal area, Klapanunggal District, Bogor Regency, West Java Province. A massive limestone outcrop was found in this location. The method used is field data collection, stratigraphic cross-section measurement, and petrographic analysis. It aims to determine the facies characteristics, depositional environment, and association of the limestone facies of the Klapanunggal Formation. The results obtained from macroscopic and microscopic descriptions resulted in six (6) facies: Skeletal Wackestone, Skeletal Packstone, Benthic Foram Grainstone, Skeletal Rudstone, Coral Rudstone, and Bindstone. Then, the facies are classified into facies associations, resulting in three (3) facies associations: Platform Interior (Open Marine), Platform Margin Reef, and Slope.
Environmental Awareness Based on Community Knowledge, Attitude, and Behavior of The Environmental Impact of Plastic Packaging Use in Urban Areas
Authors: Herdiansyah Herdis , Sholihah Salma Mar’atus , Frimawaty Evi
Published: December 2022

The problem of plastic packaging is a threat to human life. This problem is illustrated by high plastic consumption and poor plastic waste management. The purpose of this paper is to discuss community environmental awareness regarding the use of plastic packaging. This paper uses a qualitative approach with an analysis of the literature study. From the results of the study, it was found that community environmental awareness is still low. It is necessary to increase awareness to encourage environmentally friendly plastic usage behavior. Behavior toward the use of plastic starts from minimizing its consumption and the willingness to sort and recycle. Many factors influence the willingness to participate in plastic management. By manipulating these factors, a sustainable plastics management strategy can be achieved. Raising awareness through increasing knowledge, increasing guilt, optimizing facilities, and supporting regulations. Strategy cannot work without the cooperation of various stakeholders. The common goal of creating a healthy and clean environment and an empowered community is the impetus for improving plastic management.
Coastal Settlement Planning based on the Network Density in Small Island: A Study on Sulabesi Island, Indonesia
Authors: Lautetu L M , Hasibuan H S , Tambunan R P
Published: December 2022

Sulabesi Island, as a small island, is faced with challenges in developing road infrastructure to facilitate community mobility, especially to meet their settlements’ needs. With most settlements located on the coast, this study aims to analyze the road network’s density level based on the building distribution and plan settlements based on connectivity between regions. The method used is a road network density (ND) analysis using ArcGIS 10.5 software. The analysis results show that the density level of the Sulabesi Island road network is still low and only concentrated in one area, Sanana District. There are still unfinished road and bridge network constructions in other areas, so some areas are not yet connected. This condition causes connectivity between regions to be low, and community mobility becomes difficult, especially to meet their basic needs, including distributing their harvests. Even with a road network that cannot connect between regions, it can increase the isolation of a settlement. From this research, it can be a description of the characteristics of settlements on small islands from the aspect of land transportation.
Planning and Implementation of Hazardous Waste Management Emergency Response Program – A Case Study of PT. X Medical Hazardous Waste Treatment
Authors: Candra Nugraha Deni M , Shabirah Aulia
Published: December 2022

Increasing the amount of medical waste can cause environmental and health problems if it is not managed properly. This is because medical waste is categorized as hazardous and toxic waste (B3), which can also create hazardous waste management emergencies situation. PT.X is a company that treats medical waste by using an incinerator. The purpose of this study is to plan and implement a medical waste management emergency response program at PT.X by determining the potential for hazards to occur in medical waste processing, implementing an emergency response system, and developing and implementing an emergency response program. The data collection method used is by direct observation and discussion with the company staff, as well as through the available data at the company. Risk assessment was conducted using the matrix of likelihood and consequence of potential risks, and the results showed 4 activities that have extreme risk. By planning and implementing a B3 waste emergency response program, PT. X has optimized its preparedness in dealing with emergency conditions so that in the event of an emergency it can be handled optimally.
Implementation of REDD+ Policies in Indonesia to Reducing Deforestation Amid Rising Earth’s Temperature
Authors: Pradana Galih W. , Djaing Hamsinah , Kurniawan Badrudin , Febriani Alycia Putri
Published: December 2022

The existence of forests that function as a temperature cooler and a CO2 absorber on earth is seriously threatened due to deforestation that is not decreasing in number but increasing. Many factors cause deforestation, ranging from industrial and new land clearing for plantations. Even without realizing it, massive deforestation is very influential on the global temperature increase, which threatens the safety of residents and other living things on earth. In Indonesia, there is a REDD+ policy prepared by the Ministry of the Environment, which is a step to reduce the effects of greenhouse gases due to deforestation. This study aims to analyze in depth the implementation of REDD+ policies in Indonesia and examine how these policies develop against the reality of forest conditions in Indonesia today. This research is a descriptive study using the literature study method, where data collection regarding current REDD+ and deforestation policies in Indonesia is then carried out by searching for data and information through documents, photos, pictures, written, and unwritten documents that can support writing. This study finds that the implementation of REDD+ policies has a significant impact on reducing deforestation and forest sustainability in Indonesia.
Evaluation of Slope Stability at Interface using Thin Soil Material Model in Finite Element Software
Authors: Sagitaningrum Fathiyah Hakim , Kamaruddin Samira Albati , Nazir Ramli , Soepandji Budi Susilo , Alatas Idrus Muhammad
Published: December 2022

Cases of landslides on clay shale slopes have been an intriguing study in Indonesia. Most of the slopes failed due to the weathering of the clay shale rock. As studies focused on the properties of clay shale, several FEM analyses indicated a unique translational type of failure between the interface of clay shale and its overburden. However, the modeling of the interface in a case study was still limited. This study aims to evaluate a landslide using a thin-soil interface model using FEM software. The model used two conditions, extreme groundwater level conditions. There were several iterations of the shear strength parameters of the interface layer conducted. Results indicated that the thin-soil interface could portray the interface condition at the landslide. Compared to laboratory interface results, the interface would fail at a high degree of saturation due to water infiltration at the surface. Also, granular overburden with high permeability had a higher chance of failure than cohesive overburden. From the results, this study opened the path to incorporating the interface layer in clay shale slope analysis. However, further studies are needed using the thin-soil interface model in other clay shale landslide cases to synthesize its repeatability.
Heat Effectiveness Analysis of Knock Down Smoke LCS (Liquid Collection System) Design with a Mixture of Ethylene Glycol and Water as Cooling Media
Authors: Ramadhan Faiz Irza , Soedarsono Johny Wahyuadi M. , Riastuti Rini , Maksum Ahmad
Published: December 2022

One of the methods commonly used to treat biomass waste, including rice husks, is pyrolysis and gasification, both of which produce smoke that can disturb the surrounding environment. This study aims to optimize the conversion process of smoke released in the pyrolysis process of rice husks into two products at once, namely liquid smoke and producer gas. This study designed a Liquid Collection System (LCS) with a shell and tube type knock-down condenser mechanism where the hot smoke is cooled so that the components of the condensed smoke (become liquid smoke) are separated from the non-condensable components (become producer gas). The composition of the LCS coolant, a mixture of Ethylene Glycol and Water, is simulated with the help of Computational Fluid Dynamics (CFD) software to optimize the heat transfer effectiveness value obtained. The simulation results show that the heat transfer efficiency of the volume variation of Ethylene Glycol in the mixture with the volume ratio of Ethylene Glycol and Water is 0:100, 10:90, 20:80, and 30:70 is 9.43%, 13.21%, 15.32%, and 15.43%, respectively. The highest efficiency value was obtained at the highest Ethylene Glycol content, which was a ratio of 30:70.
Capturing Carbon Dioxide from Human-Driven Vehicles by Green Structures for Carbon Neutrality
Authors: Tkachenko Tetiana , Mileikovskyi Viktor
Published: December 2022

For carbon neutrality of cities, we should compensate carbon dioxide gains from vehicles. Human-driven ones are not carbon-free because cyclists perform hard work. Green roofs are an adequate carbon-capturing facility, especially for the dense building. We used the previous author’s data for carbon dioxide sequestration of them. The carbon dioxide gained from a cyclist is calculated using aggregated indicators for hard work and rest. Also, the experimental data for a cyclist on an exercise bike is used as an alternative. For recumbent bicycles, drag is 0.2÷0.3 of drag for classical ones. This allows estimation of the carbon dioxide gain for this promising technology. The results show that road bicycles require only 4.4 m2of extensive and 1.37 m2of intensive green roofs per cyclist. Recumbent bicycles need two-time fewer areas. Electric public conveyances and cars require one-two order of magnitude more area.
The Study of Biopore Infiltration Holes (BIH) Implementation to Reduce Waterlogging in President University Campus Area
Authors: Ashabie Alifah Shafina , Masjud Yunita Ismail
Published: December 2022

The continuous infrastructure development results in the lack of green open space as water catchment areas into the ground. The reduced water infiltration zona will cause runoff. The soil on President University’s campus is fine-grained, with high plasticity due to clay mineral particles. One factor that affects rainwater utilization is the soil type. Clay types have slower permeability, resulting in reduced rainwater infiltration areas. One of the technologies to reduce water runoff is the Biopore Infiltration Hole (BIH). To find out how much water can infiltrate into the soil to reduce waterlogging and to plan the total amount of Biopore Infiltration Hole (BIH) that can be applied at President University. This study uses quantitative analysis methods to identify the ideal Biopore Infiltration Hole (BIH) requirement on President University’s campus and determine the BIH. The findings of this study indicate that the total planned implementation of BIH that can be used on the campus of President University is 1711.8 pcs in an open space zona of 13,600 m2 and, based on the annual infiltration calculation, is 0.97 m3/min that significant enough to reduce waterlogging in the President University Campus Area.
Pressure And Spacer Effect On The Performance Of Immersed Microfiltration Membrane
Authors: Marsono Bowo Djoko , Agustina Inayah , Yuniarto Adhi , Hermana Joni
Published: December 2022

The water treatment applied in PDAM Surabaya City to treat Kali Surabaya still uses a conventional process where the treatment process will get even harder with decreasing quality of raw water. Immersed microfiltration membrane is a reliable technology in water treatment compared to conventional technology. Nevertheless, the performance of the membrane decreases due to deposits that occur on the membrane surface and lead to fouling. This study aims to examine the effect of pressure and spacers on the performance of microfiltration ceramic membrane measured based on quality and quantity parameters. The research parameters used were turbidity, TSS, organic matter, total coliform, E. Coli and the number of microplastic while the quantity parameters included flux, amount of water production and the duration of membrane operation before fouling. This study tested immersed flat-sheet microfiltration ceramic membranes in sedimentation unit of PDAM Ngagel III Surabaya City. Membrane operation used cross-flow with variable pressure (0.6 bar, 0.7 bar, 0.9 bar) and spacer slopes (75°, 90°, 105° and without spacers). Based on the results of the study, it was found that the effect of optimal pressure occurred at 0.7 bar with the efficiency of eliminating turbidity, TSS, organic matter, microplastic, total coliform, and E. Coli parameters respectively, 94.66%, 96.88%, 24.29%, 62.27%, 100% and 100%. The average flux value at pressure 0.7 bar is 64,33 L/m2.hour with operating duration of 55 hours and permeate production volume 530.70 L. The optimal spacer effect was achieved at slope of 90° with the efficiency of eliminating turbidity, TSS, organic matter, microplastic, total coliform and E. Coli parameters respectively 95.12%, 64.58%, 28.75%, 84.74%, 99.99% and 100%. The average flux value was 66,78 L/m2.hour with an operating duration of 90 hours and permeate production volume 901.55 L.