Digital Commons Network^™

Using Materialized Views For Answering Graph Pattern Queries, Michael Lan

Dissertations

Discovering patterns in graphs by evaluating graph pattern queries involving direct (edge-to-edge mapping) and reachability (edge-to-path mapping) relationships under homomorphisms on data graphs has been extensively studied. Previous studies have aimed to reduce the evaluation time of graph pattern queries due to the potentially numerous matches on large data graphs.

In this work, the concept of the summary graph is developed to improve the evaluation of tree pattern queries and graph pattern queries. The summary graph first filters out candidate matches which violate certain reachability constraints, and then finds local matches of query edges. This reduces redundancy in the representation …

Android Security: Analysis And Applications, Raina Samuel

Dissertations

The Android mobile system is home to millions of apps that offer a wide range of functionalities. Users rely on Android apps in various facets of daily life, including critical, e.g., medical, settings. Generally, users trust that apps perform their stated purpose safely and accurately. However, despite the platform’s efforts to maintain a safe environment, apps routinely manage to evade scrutiny. This dissertation analyzes Android app behavior and has revealed several weakness: lapses in device authentication schemes, deceptive practices such as apps covering their traces, as well as behavioral and descriptive inaccuracies in medical apps. Examining a large corpus of …

Carrier Transport Engineering In Wide Bandgap Semiconductors For Photonic And Memory Device Applications, Ravi Teja Velpula

Dissertations

Wide bandgap (WBG) semiconductors play a crucial role in the current solid-state lighting technology. The AlGaN compound semiconductor is widely used for ultraviolet (UV) light-emitting diodes (LEDs), however, the efficiency of these LEDs is largely in a single-digit percentage range due to several factors. Until recently, AlInN alloy has been relatively unexplored, though it holds potential for light-emitters operating in the visible and UV regions. In this dissertation, the first axial AlInN core-shell nanowire UV LEDs operating in the UV-A and UV-B regions with an internal quantum efficiency (IQE) of 52% are demonstrated. Moreover, the light extraction efficiency of this …

Improving The Stimulation Selectivity In The Human Cochlea By Strategic Selection Of The Current Return Electrode, Ozan Cakmak

Dissertations

The hearing quality provided by cochlear implants are poorly predicted by computer simulations. A realistic cochlear anatomy is crucial for the accuracy of predictions. In this study, the standard multipolar stimulation paradigms are revisited and Rattay’s Activating Function is evaluated in a finite element model of a realistic cochlear geometry that is based on µ-CT images and a commercial lead. The stimulation thresholds across the cochlear fibers were investigated for monopolar, bipolar, tripolar, and a novel (distant) bipolar electrode configuration using an active compartmental nerve model based on Schwartz-Eikhof-Frijns membrane dynamics. The results suggest that skipping of the stimulation point …

Photonic Monitoring Of Atmospheric Fauna, Adrien P. Genoud

Dissertations

Insects play a quintessential role in the Earth’s ecosystems and their recent decline in abundance and diversity is alarming. Monitoring their population is paramount to understand the causes of their decline, as well as to guide and evaluate the efficiency of conservation policies. Monitoring populations of flying insects is generally done using physical traps, but this method requires long and expensive laboratory analysis where each insect must be identified by qualified personnel. Lack of reliable data on insect populations is now considered a significant issue in the field of entomology, often referred to as a “data crisis” in the field. …

Integrated Machine Learning And Optimization Approaches, Dogacan Yilmaz

Dissertations

This dissertation focuses on the integration of machine learning and optimization. Specifically, novel machine learning-based frameworks are proposed to help solve a broad range of well-known operations research problems to reduce the solution times. The first study presents a bidirectional Long Short-Term Memory framework to learn optimal solutions to sequential decision-making problems. Computational results show that the framework significantly reduces the solution time of benchmark capacitated lot-sizing problems without much loss in feasibility and optimality. Also, models trained using shorter planning horizons can successfully predict the optimal solution of the instances with longer planning horizons. For the hardest data set, …

Faceted Nanomaterial Synthesis, Characterizations And Applications In Reactive Electrochemical Membrane Filtration, Qingquan Ma

Dissertations

Facet engineering of nanomaterials, especially metals and metal oxides has become an important strategy for tuning catalytic properties and functions from heterogeneous catalysis to electrochemical catalysis, photocatalysis, biomedicine, fuel cells, and gas sensors. The catalytic properties are highly related to the surface electronic structures, surface electron transport characteristics, and active center structures of catalysts, which can be tailored by surface facet control. The aim of this doctoral dissertation research is to study the facet-dependent properties of metal or metal oxide nanoparticles using multiple advanced characterization techniques. Specifically, the novel atomic force microscope-scanning electrochemical microscope (AFM-SECM) and density functional theory (DFT) …

Hydrodynamic Investigation Of The Discharge Of Complex Fluids From Dispensing Bottles Using Experimental And Computational Approaches, Baran Teoman

Dissertations

The discharge of non-Newtonian, complex fluids through orifices of industrial tanks, pipes, dispensers, or packaging containers is a ubiquitous but often problematic process because of the complex rheology of such fluids and the geometry of the containers. This, in turn, reduces the discharge rate and results in residual fluid left in the container, often referred to as heel. Heel formation is undesired in general, since it causes loss of valuable material, container fouling, and cross-contamination between batches. Heel may be of significant concern not only in industrial vessels but also in consumer packaging. Despite its relevance, the research in this …

The Future Of The Urban Street In The United States: Visions Of Alternative Mobilities In The Twenty-First Century, Esther Zipori

Dissertations

This dissertation is concerned with the present and future of urban streets in the United States. The goal is to document and analyze current visions, policies, and strategies related to the form and use of American urban streets. The dissertation examines current mobility trends and offers a framework for organizing visions of the future of urban streets, evaluating them through three lenses: safety, comfort, and delight: assessing physical conditions in accordance with livability standards toward sustainable development. At the same time, it demonstrates the way 12 scenarios (NACTO Blueprint for Autonomous Urbanism, Sidewalk Labs: Quayside Project, Public Square by FXCollaborative, …

Interactions Of Amyloid Peptides With Lipid Membranes, Yanxing Yang

Dissertations

The aggregation of amyloid proteins into fibrils is a hallmark of several diseases including Alzheimer’s (AD), Parkinson’s, and Type II diabetes. This aggregation process involves the formation of small size oligomers preceding the formation of insoluble fibrils. Recent studies have shown that these oligomers are more likely to be responsible for cell toxicity than fibrils. A possible mechanism of toxicity involves the interaction of oligomers with the cell membrane compromising its integrity. In particular, oligomers may form pore-like structures in the cell membrane affecting its permeability or they may induce lipid loss via a detergent-like effect. This dissertation aims to …

Microhydrodynamic, Kinetic And Thermal Modeling Of Wet Media Milling For Process Optimization And Intensification, Gulenay Guner

Dissertations

Nanoparticle production by wet stirred media milling (WSMM) is a common method for the formulation of poorly water-soluble drugs. While most of the studies in the WSMM literature focus on the formulation aspects to overcome the stability challenges, a thorough mechanistic understanding of the process is lacking, and the process is slow, costly, and energy-intensive. This dissertation presents experimental and modeling work with the ultimate goals of (i) gaining a deeper and more mechanistic understanding of the WSMM process and breakage kinetics of the particles using a microhydrodynamic model with various improvements and advancements, (ii) examining the heat dissipation during …

Development Of Web-Based Project Tender Documents Application Using Extreme Programming Methods, Mustari Lamada, Aminuddin Bakry, Aulyah Zakilah Ifani, Khaerunnisa Khaerunnisa

Elinvo (Electronics, Informatics, and Vocational Education)

The application of technology is a need that is in demand in the industrial world today, especially in the field of contractors of goods and services that have implemented the use of applications to help the process of managing data and project documents in their companies. This study aims to optimize the web-based project tender document system using the extreme programming method. The extreme programming method consists of planning, design, coding, testing, and software increment. Research methods using extreme programming methods consisting of planning, design, coding, testing, and software increment. The planning stages obtain results in the form of functional …

Critical Thinking Assessment In The Teaching Of Writing Indonesian Scientific Texts In High School, Rustam Rustam, Priyanto Priyanto

Jurnal Penelitian dan Evaluasi Pendidikan

The assessment of critical thinking in the teaching of Bahasa Indonesia is an essential part of teaching syntax because most Bahasa Indonesia teachers of high schools in Jambi still use objective test assessments or low-order thinking skills (LOTS). In fact, there are still many Bahasa Indonesia teachers of high schools in Jambi who have not implemented HOTS-based assessment, so the teaching process and learning outcomes of writing HOTS-based scientific texts are still low. To overcome this problem, it is necessary to study the critical thinking assessments in writing Indonesian scientific texts in high school to find authentic and contextual assessment …

The Effect Of Online Learning Quality On Vocational Students' Learning Achievement During The Covid-19 Pandemic, Feri Ferdian, Hijriyantomi Suyuthie

Jurnal Pendidikan Vokasi

This study aimed to analyze the effect of online learning quality on vocational students' learning achievement during the Covid-19 pandemic. This type of research uses a quantitative approach with ex post facto research, which aims to analyze exogenous variables (online learning quality) with endogenous variables (vocational students' learning achievement during the Covid-19 pandemic). The population of this study was 198 vocational students in the hotel management program Universitas Negeri Padang who took the front office operations two courses in the semester of January-June 2021. The sampling technique used in this study is total sampling. The number of successfully collected respondents …

Learning Independence And Teacher Teaching Skills: Does It Affect Learning Outcomes When Face-To-Face Learning Is Limited, Apri Nuryanto, Rizki Ramadani

Jurnal Pendidikan Vokasi

Limited face-to-face learning is a learning policy implemented by schools to prevent coronavirus transmission during the pandemic. Amidstface-to-face learning has become limited, so that it requires students to study more independently from home. Teachers are also required to maximize class time and are also required to be skilled in providing learning outside of student learning hours in class. This study aims to determine (1) the influence of student learning independence on learning outcomes, (2) the influence of teachers' teaching skills on learning outcomes, and (3) the influence of student learning independence and teacher teaching skills during limited face-to-face learning on …

Connecting The Dots: Immigration Policy And Access To Higher Education For Refugees In France, Isabella Amaro Varas

CISLA Senior Integrative Projects

Since 2016, the increasing number of refugees in Europe accelerated the development of national and regional policies to determine their rights and access to resources. Against this backdrop, the strong politicization of migration, and the recent financial crises, refugees' access to welfare has “become a key area of concern across European democracies” (Lafleur et al. 2020). Considering public education programs as a pillar of social policy agendas in this region, this study examines French policy in order to answer the following questions: How do French immigration and education policies converge to determine refugees’ access to higher education in France? What …

An Evaluation Of E-Learning Of Entrepreneurship Course: Learning Alternative During Covid-19 Pandemic For University Students, Ernawati Ernawati, Muharika Dewi, Linda Rosalina, Feri Ferdian, Fran Serano Andres

Jurnal Penelitian dan Evaluasi Pendidikan

This research was conducted to present recommendations on the implementation of e-learning courses Entrepreneurship during the Covid-19 pandemic. The evaluation refers to model Kirkpatrick's with Level 1: Satisfaction, Level 2: Learning, Level 3: Behavior, and Level 4: Impact. The research used a quantitative method with data analysis using percentage techniques. The sample was 307 students who had attended Entrepreneurship courses using e-learning. Data were collected using a questionnaire distributed via Google form. The results show that the evaluation level 1: student satisfaction in learning, on average of 67% and 33% of the other feeling dissatisfied and less able to accept …

Meta-Analysis: The Effect Of Discovery Learning Models On Students' Mathematical Ability, Khairunnisa Khairunnisa, Dadang Juandi

Jurnal Riset Pendidikan Matematika

This research aims to determine the magnitude of the influence of the discovery learning model on students' mathematical abilities. These included problem-solving skills, critical thinking, understanding, and mathematical reasoning. This study employs a quantitative approach with a Meta-Analysis method. Data collected was from experimental research connected to the application of discovery learning models to the mathematical abilities of elementary, junior high school, and high school students in papers indexed from 2012 to 2021. From the search and study selection results, 48 articles were obtained. The findings found an annual increase in the number of publications, most of which were on …

Master (Motivating, Acquiring, Searching, Triggering, Exhibiting, Reflecting) Learning Model In Terms Of Literacy Ability And Students' Mathematics Learning Motivation, Muhamad Sabirin, Akbar Hidayatullah, Rinda Azmi Saputri, Muh. Fajaruddin Atsnan, Maisea Ledua Nareki

Jurnal Riset Pendidikan Matematika

It is argued that mathematical literacy skills might be improved when learning motivation is high. This study aims to examine the difference in mathematical literacy skills between students who joined a learning model that stimulate motivation, the MASTER learning model (Motivating, Acquiring, Searching, Triggering, Exhibiting, and Reflecting) and those who attended conventional learning in terms of high, medium, and low learning motivation. This is a quasi-experimental study with a population of all seventh-grade students of an Islamic Junior School in South Kalimantan, Indonesia. The sample was selected using the purposive sampling technique with group VII A as the experimental class …

Problem-Based Learning And Case-Based Learning: Which Is More Effective For Fostering Mathematical Connection?, Erlinda Rahma Dewi, Arifta Nurjanah

Jurnal Riset Pendidikan Matematika

Problem-Based Learning (PBL) and Case-Based Learning (CBL) are two typical learning approaches that involve problem-solving activities, likely to encourage students' mathematical connection abilities. This study aimed to describe the differences in mathematical connection ability between students studying with the PBL and those who used the CBL approach. A quasi-experiment with a pretest-post-test non-equivalent group design was conducted for the purpose. The data collection method was non-routine problems about mathematical connections. The data was analyzed using inferential statistics. Paired sample t-tests adopted were to examine the difference between pretest and post-test data in each experimental class, and independent sample t-tests were …

Improvement Of Student Attendance System For Recording Student Surface Body Temperature Based On Internet Of Things, Mas Aly Afandi, I Ketut Agung Enriko, Muhammad Aulia Baihaqy

Elinvo (Electronics, Informatics, and Vocational Education)

Student attendance is a system used for tracking student activity in school. Many methods are used to develop student attendance systems, such as Quick Response (QR) Code systems, Radio Frequency Identification (RFID) systems, fingerprint systems, and so on. The COVID-19 pandemic has driven technological development, especially in the student attendance system. Measuring human surface body temperature has become a protocol that must be done before entering school. Student attendance systems need to expand the function not only for attendance but also for monitoring student surface body temperature. This research aims to improve student attendance systems by adding surface body temperature …

Realtime Monitoring System Of Solar Panel Performance Based On Internet Of Things Using Blynk Application, Inayatul Inayah, Nur Hayati, Aflah Nurcholis, Achmad Dimyati, Muhammad Ghofinda Prasetia

Elinvo (Electronics, Informatics, and Vocational Education)

Renewable energy is one of the options to meet the increasing energy needs. As a tropical country, Indonesia has great potential for solar energy development. At this time, solar panels have been built in places exposed to direct light. However, monitoring solar panels is still performed manually using a multimeter by operators or field officers, so it cannot be performed in real-time. Real-time tracking is carried out to prevent damage and decreased performance of solar panels. Hence, we designed a real-time solar panel monitoring system based Internet of Things (IoT) using the Blynk application on a smartphone. Based on the …

An Evaluation Of The Vocational Skill Learning Program At Madrasah Aliyah Negeri Of Yogyakarta Special Region, Muhammad Andhika, Sudji Munadi

Jurnal Penelitian dan Evaluasi Pendidikan

This study aims to evaluate the vocational skills learning program at Madrasah Aliyah Negeri (MAN) of Yogyakarta Special Region with components that include: (1) learning plans (antecedents); (2) Implementation of learning (transactions); and (3) Learning outcomes (outcomes). This study uses a quantitative approach and a Countenance Stake evaluation model. The evaluation was carried out at MAN 1 Sleman, MAN 2 Bantul, and MAN 2 Kulon Progo from February to June 2020. The data collection instruments in this study used observation sheets, document review sheets, and questionnaires. The validity used is in the form of content validity and construct validity, while …

The Influence Of The Use Of Website-Based Learning Media On Engineering Drawing Materials, Tuti Suartini, Aan Sukandar, Fikran Fauzul Zadi, Anggraili Salsabila Fikadinda, Wahid Maulana

Informasi

The era of digitalization actually offers various conveniences. Learning can be done through various methods, not only conventional methods. The widespread use of the internet network must be utilized optimally in various fields. So that digital technology is very functional today to do online learning. The influence of the production of learning media with website-based technology on responses to the learning activities of the Engineering Drawing course, Mechanical Engineering Education Department. Learning media used through the web aims to be used as alternative teaching materials in the learning process in the hybrid learning era. The technology used allows users to …

Algoritme Migrating Birds Optimization Dan Algoritme Particle Swarm Optimization: Penyelesaian Masalah Knapsack 0-1, Bib Paruhum Silalahi, Mohamad Novanto, Prapto Tri Supriyo

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Permasalahan knapsack merupakan salah satu masalah optimisasi. Masalah knapsack merupakan suatu permasalahan bagaimana memilih objek dari beberapa objek yang akan dimasukkan ke media penyimpanan dengan masing-masing objek memiliki bobot dan total bobot dari objek yang dipilih tidak boleh melebihi kapasitas media penyimpanannya, sehingga diperoleh nilai yang maksimal. Ketika objek yang dimasukkan ke dalam media penyimpanan bersifat harus dimasukkan semua atau tidak sama sekali, permasalahan ini dikenal dengan nama knapsack 0-1. Salah satu metode penyelesaian masalah knapsack 0-1 adalah dengan menggunakan metode meta-heuristic. Terdapat beberapa metode meta-heuristic seperti algoritma migrating birds optimization dan particle swarm optimization. Paper ini membahas …

Tinjauan Matematis Waktu Tundaan Pada Model Covid-19 Dengan Vaksinansi, Fitriana Yuli Saptaningtyas, Ahmadi Ahmadi

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Article ini membahas pemodelan matematika penyebaran Covid-19 dengan vaksinasi yang melibatkan waktu tundaan. Waktu tundaan merepresentasikan waktu individu mengalami penurunan kekebalan tubuh sehingga kembali rentan terhadap Covid-19 setelah sembuh. Kita tahu bahwa individu yang dinyatakan sembuh dari Covid-19 dapat terinfeksi kembali. Penelitian ini menganalisa titik ekuilibirum beserta kestabilannya, menentukan bilangan reproduksi dasar untuk melihat penyebaran penyakit, menentukan jenis bifurkasi yang muncul yang diakibatkan oleh waktu tundaan, dan melakukan simulasi numerik untuk melihat perilaku penyebaran penyakit. Di samping itu juga dilakukan kajian analitik untuk menentukan bilangan reproduksi dasar dan analisa perbandingan kestabilan lokal untuk model tanpa waktu tundaan dan dengan waktu …

Klasifikasi Kematangan Manggis Berdasarkan Fitur Warna Dan Tekstur Menggunakan Algoritma Naive Bayes, Raihan Abimanyu Suharman, Hartono Hartono

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Manggis merupakan salah satu komoditas buah asli Indonesia yang memiliki prospek pasar yang menjanjikan, terlebih dalam pasar ekspor. Namun masih ada permasalahan dalam hal penyortiran buah hasil panen. Buah manggis hasil panen disortir berdasarkan kematangan buahnya untuk tujuan pasar yaitu pasar ekspor dan pasar domestik. Faktor penentu kematangan buah manggis adalah warna dan tekstur dari kulit buahnya. Penelitian ini bertujuan untuk mengklasifikasi kematangan buah manggis berdasarkan warna dan tekstur menggunakan algoritma Naive Bayes. Fitur warna dan tekstur yang diekstraksi adalah kontras, korelasi, energi, homogenitas, entropi, standar deviasi, mean, varians, skewness, dan kurtosis. Fitur diekstraksi dari citra RGB, citra grayscale, citra …

Mathematics Model Of Inheritance Three Different Traits In Genetics With Matrix Approach, Jufra Jufra, Asrul Sani, Sardin Sardin

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Mathematical models can solve problems to find out which individuals are superior from crosses in the field of genetics. The matrix form of the mathematical model using the concept of matrix diagonalization can solve these problems. The general definition of matrix diagonalization is with the diagonalized matrix elements obtained from the probability of crossing the average parent and the recessive parent. The mathematical model of a cross between the average parent and recessive parent can be formulated as . The behavior of the solution from the cross is in the form of an explicit equation which can be formulated as …

Machine Learning-Based Data Analytics For Understanding Space Weather And Climate, Yasser Abduallah

Dissertations

This dissertation addresses multiple crucial problems in space weather and climate, presenting new machine learning-based data analytics algorithms and models for tackling the problems.

First, the dissertation presents two new approaches to predicting solar flares. One approach, called DeepSun, predicts solar flares by utilizing a machine-learning-as-a-service (MLaaS) platform. The DeepSun system provides a friendly interface for Web users and an application programming interface (API) for remote programming users. It adopts an ensemble learning method that employs several machine learning algorithms to perform multiclass flare prediction. The other approach, named SolarFlareNet, forecasts the occurrence of solar flares within the next 24 …

Curriculum And Learning Management: Integration Of Creative Economy Value To Improve Students' Life Skill, Yes Matheos Lasarus Malaikosa, Andhika Putra Widyadharma, Widya Trio Pangestu

Jurnal Pendidikan Vokasi

The impact of the ASEAN economic community on the development of industry 4.0 is increasingly massive. The education system needs a new buzz to respond to the development of industry 4.0. The Indonesian government continues to make changes and developments in the field of education to prepare learners to become knowledgeable, capable, creative, independent, and responsible human beings. The research uses a qualitative approach, with data collection techniques through observation, interview, and one in the documentation of strengthening life skills with integrase creative economic value. In this study, researchers successfully interviewed the principal, teacher, student, and creative ruler of the …