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Development of location suitability prediction for health facilities using random forest machine learning in 2030 integrating remote sensing and GIS in West Java, Indonesia

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Environmental Advances 2025年 19卷

作者： Virtriana, Riantini Ihsan, Kalingga Titon Nur Anggraini, Tania Septi Deliar, Albertus Harto, Agung Budi Riqqi, Akhmad Sakti, Anjar Dimara Remote Sensing and GIS Research Group Faculty of Earth Science and Technology Bandung Institute of Technology Bandung 40132 Indonesia Center for Remote Sensing Bandung Institute of Technology Bandung 40132 Indonesia Doctor Program in Program Study of Geodesy and Geomatic Engineering Faculty of Earth Sciences and Technology Bandung 40132 Indonesia Geographic Information Science Universitas Pendidikan Indonesia Bandung 40111 Indonesia Center for Spatial Data Infrastructure Bandung Institute of Technology Bandung 40132 Indonesia

Access to healthcare facilities is crucial in the present day. Healthcare facilities must be proportional to the population in a given area. Therefore, it is important to increase the number of healthcare facilities in regions where there is an imbalance. Proper planning and a sustainability review are necessary when determining locations for healthcare facilities. Environmental changes can affect the suitability of a location in the future. Thus, planning that can predict future suitability conditions is required to ensure that the built locations have high sustainability. This study predicts the suitability of healthcare facility locations in 2030 in West Java using remote sensing and Geographic Information System (GIS). Both static and dynamic data processed at 30×30 meter intervals across West Java will be used. Geospatial and remote sensing data are utilized in the study. Dynamic parameter extrapolation uses data from 2000 to 2018. The random forest machine learning method is employed to obtain the suitability values for healthcare facility locations using existing health facility training data in West Java. The results show changes in the suitability classes of healthcare facilities in each region from 2018 to 2030, with some areas experiencing an increase or decrease in class. This research highlights consistently suitable locations, ensuring their sustainability as healthcare facility sites. © 2024

关键词： GIS Health Facility Machine Learning Remote Sensing

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Method for modelling the number of HIV and AIDS cases using least square spline Biresponse nonparametric negative binomial regression

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MethodsX 2025年 14卷 103336页

作者： Ramadan, Arip Chamidah, Nur Budiantara, I Nyoman Lestari, Budi Aydin, Dursun Doctoral Study Program of Mathematics and Natural Sciences Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Information System Study Program Department of Industrial and System Engineering Telkom University Surabaya Campus Surabaya 60231 Indonesia Department of Mathematics Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Research Group of Statistical Modeling in Life Science Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Statistics Department Faculty of Science and Data Analytics Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia Department of Mathematics Faculty of Mathematics and Natural Sciences The University of Jember Jember 68121 Indonesia Department of Statistics Faculty of Science Muğla Sıtkı Koçman University Muğla 48000 Turkey Research Scholar at Department of Mathematics University of Wisconsin Oshkosh Algoma Blvd Oshkosh 54901 WI United States

We propose a new statistical modeling method to analyze functional relationship between predictor variables and correlated response variables, and apply it for modeling the number of HIV and AIDS cases influenced by early-age marriages and contraceptive users. The proposed method is LS-Spline BNNBR that is a Biresponse Nonparametric Negative Binomial Regression (BNNBR) based on least squares spline (LS-Spline). To validate the proposed method, we compare it with classical method, namely Ordinary Least Square Biresponse Parametric Negative Binomial Regression (OLS-BPNBR). The results show that the LS-Spline BNNBR method provided deviance value of 7.542334 which is smaller than that of OLS-BPNBR method, namely 7.993935. Thus, the proposed method has better prediction fit than the classical method. • This study discusses new statistical modeling method for the number of HIV and AIDS cases influenced by early-age marriages and contraceptive users where the response variables are correlated with each other. • The model estimation results show that the number of HIV and AIDS cases in Indonesia will decrease if the early-age marriages percentage increases and the contraceptive users percentage decreases. • The results are useful to provide a scientific basis for making policies to control the number of HIV and AIDS cases in Indonesia. © 2025 The Authors

关键词： AIDS BLSSNNBR model Contraceptive user Early-age marriage HIV Least square spline

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Nutritional, chemical, and prospect of "mandai," traditional fermented food of Kalimantan

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Journal of Ethnic Foods 2025年第1期12卷 1-9页

作者： Yudistira, Sukma Amaliah, Nur Gozali, Gozali Purwaningrum, Hesti Gusriza, Fondina Sari, Rini Eka Kuntari, Erlina Daru Wibowo, Singgih Tri Yelfiarita, Yelfiarita Malik, Shintami Rouwelvia Wigati, Dyan Sulistiadi, Slamet Department of Tourism Universitas Negeri Padang West Sumatera Padang 25131 Indonesia Faculty of Food Science Mulawarman University East Kalimantan Samarinda 75123 Indonesia Department of Tourism Balikpapan State Polytechnic East Kalimantan Balikpapan 76126 Indonesia Sekolah Tinggi Pariwisata Ambarrukmo STIPRAM Bantul Yogyakarta 55198 Indonesia Department of Tourism Universitas Pembangunan Nasional Veteran Jawa Timur East Java Surabaya 60294 Indonesia Tour and Travel Business Department of Business Administration Politeknik Negeri Padang 25142 West Sumatera Padang Indonesia Universitas Mahakarya Asia Sleman Yogyakarta 55285 Indonesia Department of Travel Politeknik Pariwisata NHI Bandung East Java Bandung 40141 Indonesia Department of Agricultural Business Politeknik Pertanian Negeri Payakumbuh West Sumatera Limapuluh Kota 26271 Indonesia Program Studi Agribisnis Fakultas Pertanian Universitas Tadulako Central Sulawesi Kota Palu 94148 Indonesia Bachelor of Pharmacy Study Program Faculty of Health Sciences Universitas Dr Soebandi East Java Jember 68111 Indonesia Agriculture and Biosystem Engineering Faculty of Science and Technology Universitas Nahdlatul Ulama Purwokerto Central Java Banyumas 53145 Indonesia

Mandai, a traditional fermented delicacy, is produced from the inner peel of the cempedak fruit (Artocarpus champeden). This unique food is a culinary heritage of the Banjar ethnic group residing in Kalimantan, and is part of Indonesia’s rich collection of traditional fermented foods. This study aimed to analyze mandai by examining its fermentation processes and chemical and nutritional composition. It also discusses the potential and prospects of mandai development in the future. Through a narrative literature review, this study synthesized insights into mandai, emphasizing its significance as a functional food with rich antioxidant and probiotic properties. This review also shows that processing mandai through starter-induced fermentation can improve its quality and standards. This study serves as an important foundation for future mandai research by emphasizing the functional benefits and processing methods of mandai. © The Author(s) 2025.

关键词： Mandai Mandai chemical Mandai nutrition Potentials mandai Prospect mandai Traditional fermented food

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Smart electrical Devices Control with Intrusion Detection Alert

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第5期16卷 139-152页

作者： Achmad, Andani Muliadi Areni, Intan Sari Palantei, Elyas Hadis, Muhammad Sabirin Department of Electrical Engineering Faculty of Engineering Universitas Hasanuddin Gowa Indonesia Department of Electrical Engineering Education Faculty of Engineering Universitas Negeri Makassar Indonesia Study Program of Informatics STMIK AKBA Makassar Indonesia

The consumption profile of electrical energy always increases every year due to the highly consumptive and inappropriate lifestyles of modern society. A bad lifestyle such as forgetting to turn off the unused electronic devices when they are leaving home is one of the factors influenced the increasing consumption of electrical energy. This is off course contributing in wasting energy. In the paper, an IoT-based electronic device control system has been successfully constructed. Monitoring and control tasks could be performed remotely and in real time mode using an interface application installed on a smartphone. The system built is equipped with a device operational condition monitoring featured by placing light, temperature, thermal and current sensors, respectively. Through the utilization of the implemented system, users can monitor and control electronic devices easily and can figure out the condition of the device remotely in a real time mode. The control test on the system was successful with an average response time of approximately 3.32 seconds and the accuracy of sensor readings above 89%. With the implementation of this system, users can easily monitor and control electronic devices anywhere and anytime so that the opportunities for efficient and effective use of electrical energy could be further optimized. © 2022. All Rights Reserved.

关键词： Energy efficiency

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Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic

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Scientific Reports 2025年第1期15卷 1-22页

作者： Noureddine, Oulad Naoui Mohamed, Sekkoum El Amine, Cherif Alzaed, Ali Gedfew, Meseret Abeje Ghoneim, Sherif S. M. Hussein, Enas E. Materials Energy Systems Technology and Environment Laboratory Department of Hydraulic and Civil Engineering University Ghardaia Bounoura Algeria Department of Civil Engineering Faculty of Civil Engineering and Architecture Amar Telidji University P. O. Box 37.G Laghouat 03000 Algeria Water Management and Treatment Laboratory University of Science and Technology of Oran Mohamed Boudiaf B.P. 1505 El M’Naouer Oran Algeria Architectural Engineering Program - Civil Engineering Department Faculty of Engineering Taif University Taif 21944 Saudi Arabia Department of Civil Engineering Faculty of Technology Debre Markos University P. O. Box 269 Debre Markos Ethiopia Department of Electrical Engineering College of Engineering Taif University Taif 21944 Saudi Arabia Water Management Research Institute National Water Research Center Shubra El-Kheima 13411 Egypt

This work is unique and contributes new knowledge to the field whereas it involves introducing a new method based on coupling two or three stochastic models, analyzing new data represented by drought and flooding risk relationship, and addressing a previously unexplored research question: Can we make a decision regarding future evapotranspiration-flooding risk relationship? In this paper, the Bat algorithm (BAT) with the Newton Method (NM), Bird Swarm Algorithm (BSA), Genetic Algorithm (GA), and Chicken Swarm Optimization Algorithm (CSO) are used as a hybrid model in arid and semi-arid zones in Saudi Arabia as well as for modeling rainfall, temperature, and solar radiation implications on evapotranspiration variability. Coupling between aridity and evapotranspiration over a long time can create flooding risks. This holistic modeling aims to reduce flooding risks and ensure the desired decision. Several models were employed to simulate some basins’ Potential and Actual evapotranspiration as case studies. The meteorological inputs of the hybrid models were calibrated and validated with metric evaluation for input and output of evapotranspiration, respectively. The results suggest that the application of a hybrid model can improve the accuracy of evapotranspiration simulations in terms of statistical parameters, whereas BAT–GA–NM reduced MAPE from 38.88 to 4.16% for Mekkah and from 14.94 to 2.04% for Medina and NSCE from − 0.17 to 0.97 for Mekkah and from 0.82 to 0.99%. Those parameters will provide a better understanding of evapotranspiration processes in watersheds and valuable information for early warnings of flooding risks. © The Author(s) 2025.

关键词： Evapotranspiration Hybrid metaheuristic Modeling Rainfall Solar radiation data Temperature

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Utilization plastic waste using pyrolysis fixed bed 1

Utilization plastic waste using pyrolysis fixed bed

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1st International Conference on Design, Energy, Materials and Manufacture, ICDEMM 2018

作者： Swamardika, I.B.A. Winaya, I.N.S. Hartati, R.S. Study Program of Electrical Engineering Faculty of Engineering University of Udayana Indonesia Study Program of Mechanical Engineering Faculty of Engineering University of Udayana Indonesia

This investigative research aims to convert urban non-organic waste fuels such as plastic waste into energy using fixed bed pyrolysis technology. Pyrolysis fixed bed (PFB) is one of the most efficient technologies for converting various types of undegradable solid waste into thermal energy and liquid fuels with high efficiency. The study was conducted on a lab-scale PFB reactor with dimensions of 15 cm and 55 cm in diameter and bed height respectively. The reactor is equipped with a cooling and decomposition system to accommodate liquid and gas products. Reactor temperature variations using an external heater were tested and quartz sands were selected as a bed material to improve the temperature function of the PFB reactor so as the maximum quality and quantity of liquid product were obtained. The fuel properties of the derived oil were tested including their physical properties, calorific value, elemental measurement (CHNOS) analysis. The results of the study showed that the increase in temperature resulted in an increased pyrolysis performance which was indicated by the increased volume and liquid caloric value. © Published under licence by IOP Publishing Ltd.

关键词： Pyrolysis

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A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing

arXiv

引用

arXiv 2025年

作者： Seran, Carl Errol Tan, Myles Joshua Toledo Karim, Hezerul Abdul AlDahoul, Nouar Biology Program College of Arts and Sciences University of St. La Salle Bacolod Philippines Department of Natural Sciences College of Arts and Sciences University of St. La Salle Bacolod Philippines Faculty of Education University of the Philippines Open University Los Baños Philippines Department of Electrical and Computer Engineering Herbert Wertheim College of Engineering University of Florida GainesvilleFL United States Department of Epidemiology College of Public Health and Health Professions College of Medicine University of Florida GainesvilleFL United States Department of Chemical Engineering College of Engineering and Technology University of St. La Salle Bacolod Philippines Department of Electronics Engineering College of Engineering and Technology University of St. La Salle Bacolod Philippines Yo-Vivo Corporation Bacolod Philippines Faculty of Engineering Multimedia University Persiaran Multimedia Cyberjaya Malaysia Department of Computer Science Division of Science New York University Abu Dhabi Abu Dhabi United Arab Emirates

The integration of Generative Artificial Intelligence (GenAI) intouniversity-level academic writing presents both opportunities and challenges,particularly in relation to cognitive dissonance (CD). This work explores howGenAI serves as both a trigger and amplifier of CD, as students navigateethical concerns, academic integrity, and self-efficacy in their writingpractices. By synthesizing empirical evidence and theoretical insights, weintroduce a hypothetical construct of GenAI-induced CD, illustrating thepsychological tension between AI-driven efficiency and the principles oforiginality, effort, and intellectual ownership. We further discuss strategiesto mitigate this dissonance, including reflective pedagogy, AI literacyprograms, transparency in GenAI use, and discipline-specific task *** approaches reinforce critical engagement with AI, fostering a balancedperspective that integrates technological advancements while safeguarding humancreativity and learning. Our findings contribute to ongoing discussions on AIin education, self-regulated learning, and ethical AI use, offering aconceptual framework for institutions to develop guidelines that align AIadoption with academic values. © 2025, CC BY.

关键词： Generative adversarial networks

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Life cycle analysis of palm kernel shell gasification for supplying heat to an asphalt mixing plant

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Waste Disposal and Sustainable Energy 2020年第1期2卷 55-63页

作者： Sunu Herwi Pranolo Prabang Setyono Muhammad Akvis Fauzi Study Program of Chemical Engineering Faculty of EngineeringUniversitas Sebelas MaretSurakartaIndonesia Magister Study Program of Environmental Science PostgraduateUniversitas Sebelas MaretSurakartaIndonesia

The Government of the Republic of Indonesia states that the thermal energy for hot-mixed asphalt production shall be supplied by the direct combustion of fossil fuels in the form of diesel oil,natural gas,or fuel gas from coal gasification which may generate GHG *** are able to substitute the fossil fuels through gasification *** converts the biomass using limited air into gaseous fuel containing mainly CO and H_(2) that are subsequently combusted to produce heat,carbon dioxide,and *** is obvious that the CO_(2) is then absorbed by the plants for photosynthesis,main-taining a balanced closed *** study examines the level of global warming potential of this system for supplying heat based on the openLCA v1.9 *** analysis used a gate-to-gate approach to evaluate scenarios of shell gasification to produce 1 metric tonne of hot-mixed *** scope covers raw material supply and transportation,palm kernel shell gasification,and *** evaluation concludes that gasification could potentially reduce CO_(2) *** impact analysis and interpretation of the results using the openLCA database of Traci 2.1 recommend that greater CO_(2) emis-sion reduction is possible using palm kernel shell gasification,not only for supplying heat but also for electricity generation to operate all electrical equipments.

关键词： Global warming Gasification Palm kernel shell Life cycle analysis Hot-mixed asphalt

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Investigation of radiation shielding properties using MCNPX simulation and scintillation properties of Ce3+-ions doped silicate glass system

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Radiation Physics and Chemistry 2025年 235卷

作者： Khan, I. Mukammil, S. Khan, N. Ifseisi, Ahmad A. Assal, Mohamed E. Shoaib, M. Ullah, I. Rooh, G. Lixian, Xiao YongTai, He Kaewkhao, J. Department Department of Physics Abdul Wali Khan University Mardan23200 Pakistan School of Physics and Electrical Energy Engineering Chuxiong Normal University Chuxiong675000 China Chemistry Department College of Science King Saud University P.O. 2455 Riyadh11451 Saudi Arabia Physics Program Faculty of Science and Technology Nakhon Pathom Rajabhat University Nakhon Pathom73000 Thailand Nakhon Pathom Rajabhat University Nakhon Pathom73000 Thailand

In this study the physical, structural, optical and radiation shielding characteristics of (50-x)SiO2–40Li2O–05BaO:05Gd2O3-xCeF3 (x = 0.00, 0.05, 0.1, 0.5, 1.0, 1.5 mol%) were investigated. The x-ray diffraction analysis confirms the amorphous nature of S-sample. The density and refractive index increase with Ce3+ concentration in host glasses. The molar volume is rised with Ce3+ contents in host glass from S1–S6 confirm the less compact glass structure. The shielding parameters were determined using MCNPX simulation. The linear attenuation of glass samples increase with increase of cerium oxide contents while decrease with increase of energy from 0.01 to 15 MeV. The Half Value Layer (HVL) and Tenth Value Layer (TVL) values increase with energy, indicating more thicker glass is needed to reduce radiation flux at higher energy. The effective atomic number varies randomly with energy representing different photon matter interactions in specific energy ranges. The mean free path is increased with rise of energy. Under λexc = 275 nm, two emission spectra were observed that are positioned at 312 nm and 375 nm and belong to Gd3+-ions (6P7/2 to 8S7/2) and Ce3+-ions (5d-4f) transition, respectively. The results of XEL spectra are similar to PL spectra. The integral-scintillation efficiency of LBS-Gd/Ce0.1 glass is 10.01 % that of BGO scintillator. Based on these results the developed glasses can be employed as a choice of radiation shielding material for x-rays and γ-rays in the field of medicine, hospitals, nuclear physics and has the potential for scintillator applications. © 2025 Elsevier Ltd

关键词： Gamma rays

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Analog Behavioral Model of Underdamped Free Oscillation of Cantilever Beams

Analog Behavioral Model of Underdamped Free Oscillation of C...

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2019 International Conference on Sustainable engineering and Creative Computing, ICSECC 2019

作者： Tarigan, Hendra J. Sitompul, Erwin President University Study Program of Electrical Engineering Faculty of Engineering Bekasi Indonesia

ISBN: (纸本)9781728151922

A physical model representing an underdamped free oscillation of a cantilever beam is constructed. The model is incorporated into a pSPICE Analog Behavioral Model (ABM) in order to construct a circuit schematic that generates a model-based waveform representing that of the experiment. A strain gage is employed to sense the change in strain in the oscillating cantilever beam. The frequency and damping ratio of oscillation of the cantilever are determined by means of curve fitting. Experiment and pSPICE ABM results show an excellent agreement. © 2019 IEEE.

关键词： Strain gages

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