Business Analytics Commons^™

Model Spasial Data Panel: Indeks Harga Konsumenindonesia Di Masa Pandemi Covid-19, Debrina Vita Ferezagia, Dimas Anggara

Jurnal Vokasi Indonesia

Inflasi harga secara umum merupakan persentase perubahan indikator Indeks Harga Konsumen (IHK). Penelitian ini bertujuan untuk memodelkan indeks harga konsumen pada masa pandemi covid-19 . Data yang digunakan dalam penelitian ini bersumber dari data Badan Pusat Statistik yaitu: Indeks Harga Konsumen (IHK), harga beras, harga daging ayam ras, harga minyak goreng. Data yang bersumber dari Bank Indonesia yaitu jumlah uang yang beredar, tingkat suku bunga. Data yang bersumber dari Pusdatin Kementrian Kesehatan yaitu jumlah kasus terkonfirmasi positif covid 19. Peubah respons yang digunakan adalah IHK yang merupakan indikator terbaik yang mencerminkan perubahan harga eceran. Pendugaan parameter yang digunakan adalah model …

Analisis Sengketa Pajak Penghasilan Badan Atas Koreksi Biayapromosi Bagi End-User (Studi Kasus Pt Saf Tahun 2018), Aditya Avianti Ivah Komarasari, Arie Widodo, Titin Fachriah Nur Anwar

Jurnal Vokasi Indonesia

Penelitian ini membahas mengenai Analisis Sengketa Pajak Penghasilan Badan Atas Koreksi Biaya Promosi Bagi End-User (Studi Kasus PT SAF Tahun 2018). Penulisan ini bertujuan untuk menjelaskan dasar koreksi Direktur Jenderal Pajak dan Argumentasi dari Wajib Pajak (PT SAF) terkait sengketa atas biaya promosi yang dilakukan. Metode Penelitian yang dilakukan adalah menggunakan metode penelitian studi kasus dan studi pustaka. Dalam hal ini biaya promosi diberikan kepada end-user yang pada dasarnya informasi terkait penerima penghasilan tidak dapat disajikan seluruhnya pada daftar nominatif yang harus dilaporkan sebagai syarat pembebanan biaya. Berdasarkan hasil analisis, sengketa pajak timbul karena adanya perbedaan pendapat antara PT SAF …

Peran Regulasi Biaya Tes Antigen Dan Tes Pcrterhadap Penerimaan Departemen Laboratorium Rs X, Nia Murniati, Bulan Kamillah

Jurnal Vokasi Indonesia

Pemeriksaan Tes Antigen dan Tes Polymerase Chain Reaction (PCR) adalah langkah pertama dalam penegakan diagnosa Covid-19. Sejak kemunculannya di awal pandemi hingga terbitnya regulasi pemerintah tentang penyeragaman tarif yang mengatur ketentuan biaya pemeriksaan memberikan dampak terhadap penerimaan rumah sakit terutama pada Departemen Laboratorium. Regulasi pemerintah yang berkali-kali berubah terkait tarif biaya pemeriksaan menyebabkan rumah sakit tidak dapat memproyeksi penerimaan dari item pemeriksaan Tes Antigen dan PCR di Departemen Laboratorium. Penelitian ini bertujuan untuk melihat peran regulasi biaya tes antigen dan PCR terhadap penerimaan Departemen Laboratorium RS X, menggunakan metode kuantitatif berdasarkan data penerimaan Departemen Laboratorium RS X periode April 2021 …

Hubungan Antara Indeks Massa Tubuh (Imt) Denganbentuk Lengkung Kaki Pada Anak Usia Masa Kanak-Kanak Akhir, Zafira Jauza, Farahdina Bachtiar, Suci Wahyu Ismiyasa, Andy Sirada

Jurnal Vokasi Indonesia

Indeks Massa Tubuh (IMT) menjadi acuan yang digunakan untuk menentukan kategori komposisi berat badan. Pengukuran IMT juga berkaitan dengan status gizi yang mempengaruhi kesehatan seseorang. Pada anak-anak yang memiliki berat badan berlebihan, lengkung kaki cenderung datar (flatfoot) karena beban yang ditumpu tubuh lebih besar, sehingga dapat menyebabkan diantaranya nyeri, cedera, gangguan berjalan, dan ketidakseimbangan ketika berdiri lama. Oleh karena itu, penelitian ini bertujuan untuk mengetahui hubungan antara IMT dengan lengkung kaki pada anak usia masa kanak-kanak akhir (10 – 12 tahun). Desain penelitian ini menggunakan cross–sectional yang dilakukan dengan metode observasi dalam satu waktu tanpa adanya follow up atau berkelanjutan. …

Penyusutan Arsip Rekam Medis Di Rumah Sakit:Studi Kasus Rumah Sakit Vertikal Kemenkes, Susi Haryanti, Ratih Surtikanti

Jurnal Vokasi Indonesia

Studi ini menggambarkan penyusutan arsip rekam medis di rumah sakit vertikal Kementerian Kesehatan menurut Peraturan Menteri Kesehatan no. 269 Tahun 2008 tentang Rekam Medis. Rekam medis adalah berkas yang berisikan catatan dan dokumen tentang identitas pasien, pemeriksaan, pengobatan, tindakan dan pelayanan lain yang telah diberikan kepada pasien. Rekam medis merupakan bagian dari arsip sesuai dengan definisi arsip yang mengacu pada Undang-undang No. 43 Tentang Kearsipan sehingga kegiatan penyusutan akan mendukung proses pengelolaan rekam medis secara efisien. Kegiatan penyusutan rekam medis juga menjadi salah satu komponen akreditasi rumah sakit. Penelitian ini dilakukan untuk melihat dampak dari implementasi Permenkes no. 269 tahun …

Personal Financial Planning (Pfp) Sebagai Implementasipengentasan Fakir Miskin Di Indonesia, Kevin Exaudi Siregar, Filicia Fiona

Jurnal Vokasi Indonesia

Fakir miskin pada hakikatnya merupakan sumber daya manusia yang memiliki keterbatasan dalam memanfaatkan akses secara holistik untuk meningkatkan kondisi keuangan. UU No. 13 Tahun 2011 tentang Penanganan Fakir Miskin mengatur bahwa fakir miskin berhak untuk meningkatkan kondisi keuangan yang sustainable. Penelitian ini menjelaskan mengenai penerapan teori perencanaan keuangan bagi fakir miskin dalam mendukung peningkatan tingkat literasi keuangan masyarakat sebagaimana komitmen tinggi dari Otoritas Jasa Keuangan (OJK). Tujuan penelitian ini adalah sebagai pemecah batas-batas tertentu yang menghambat fakir miskin dalam meningkatkan kondisi keuangan. Metode penelitian yang digunakan melalui pendekatan kualitatif dengan analisis narasi. Hasil dari penelitian ini menunjukkan melalui personal financial …

Analisis Pengembangan Program Pendidikan Jarak Jauhprogram Pendidikan Vokasi Ui, Titis Wahyuni

Jurnal Vokasi Indonesia

Penelitian ini bertujuan untuk menganalisis kelayakan Program Pendidikan Vokasi Universitas Indonesia untuk mengembangkan program pendidikan/pelatihan jarak jauh. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif, yaitu dengan menggunakan data primer untuk mendapatkan informasi tentang minat dan jenis pelatihan yang dibutuhkan oleh masyarakat dan menggunakan metode wawancara untuk mendapatkan data tentang infrasinfratruktur serta media yang digunakan untuk pembelajaran/pelatihan jarak jauh di Program Pendidikan Vokasi UI. Data penelitian yang diperoleh melalui kuesioner dianálisis dengan analisis deskriptif. Sedangkan data hasil wawancara, diolah dan dianalisis dengan menggunakan analisis SWOT dalam beberapa tahap sehingga dapat diperoleh kesimpulan. Hasil penelitian ini adalah bahwa Sebesar 89,31% …

Revisiting Cybersecurity Awareness In The Midst Of Disruptions, Avideh Sadaghiani-Tabrizi

International Journal for Business Education

The awareness of cybersecurity and knowledge about risks from a variety of threats, which present harm or steal private information in internetworking could help in mitigation of vulnerabilities to risks of threats in safeguarding information from malware and bots. Revisiting cybersecurity awareness of every member and evaluation of organization’s posture might help to protect sensitive or private information from a network of computers, working together and forming into botnets. The purpose of the qualitative case study narrative was to explore prospects for integrating cybersecurity education into elementary school children’s curriculum through interviews of elementary schoolteachers, IT experts, and parents to …

Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman

Publications

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …

Small Business Development, Katrina Babb

2023 Spring Reports (Marshall, IL)

Introduction to the economic problems of wage earners in modern society. Labor markets; labor history; labor organizations; collective bargaining; and public policy toward labor. Econ 351 is predominately a microeconomics applications course with a unit on labor and the macroeconomy. This is a flipped course. Experiential learning activities will take us outside of the classroom; you will be participating in career readiness activities including an academic conference, working on a Marshall Sustainable Cities project, resume writing, and mock interviews.

2022-2023 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2022-2023 Audit Report for Morehead State University.

General Theory Of Information, Digital Genome, Large Language Models, And Medical Knowledge-Driven Digital Assistant, W. Patrick Kelly, Francesco Coccaro, Rao Mikkilineni

Barowsky School of Business | Faculty Scholarship

Recent advances in large language models, our understanding of the general theory of information, and the availability of new approaches to building self-regulating domain-specific software are driving the creation of next-generation knowledge-driven digital assistants to improve the efficiency, resiliency, and scalability of various business processes while fulfilling the functional requirements addressing a specific business problem. Here, we describe the implementation of a medical-knowledge-based digital assistant that uses medical knowledge derived from various sources including the large language models and assists the early medical diagnosis process by reducing the knowledge gap between the patient and medical professionals involved in the process.

Determinants Of Continuance Intention To Use Mobile Wallets Technology In The Post Pandemic Era: Moderating Role Of Perceived Trust, Shailja Tripathi

Journal of International Technology and Information Management

The Covid-19 pandemic amplified the volume and importance of mobile payments using digital wallets and placed a basis for their continued adoption. The objective of the study is to formulate and test a comprehensive model by integration of the technology acceptance model (TAM) and expectation confirmation model (ECM) with the addition of three constructs, namely perceived trust, perceived risk, and subjective norm, to identify the determinants of continuance intention to use mobile wallets. Questionnaire-based survey method was used to gather the data from 550 users having experience using mobile wallets for more than six months. The data were analyzed using …

Language Matters: Evaluating How Linguistic And Visual Differences In Financial Documents Impact Financial Reporting In Hospitals, Alicia Irwin

Theses and Dissertations--Accountancy

Hospital financial assistance policies (FAPs) should inform uninsured and under-insured patients about options available to assist with their medical expenses. However, language and visual rhetoric variations in these documents may deter otherwise qualified patients from applying to programs meant to relieve their financial obligations. This project explores how visual rhetoric and linguistic differences such as tone and readability, in financial assistance policy documents may influence community benefit reporting in hospitals as a consequence of patient engagement in the application process.

Visual rhetoric and design, as well as linguistic style variation can have a profound impact on program utilization and financial …

Manufacturing “Hits”: A Data-Driven Ai Approach To Releasing A Pop Song In 2022, Jessica Birk, Madhavi Chakrabarty

Atlantic Marketing Journal

Technology is radically transforming the music industry through the use of big data, artificial intelligence and machine learning algorithms. This paper presents a pilot study that examines the impact of data-driven approaches in creating, predicting, and marketing music. A machine learning algorithm is used to determine the optimal characteristics of the most popular songs and is used as the basis for creating the next song. Next, an AI technique was used to generate the inspiration of the instrumentation and lyrics of the song. Finally, a listener survey is used to determine the trend which included the mood, preference and context …

Playing To Win: The Effects Of Implementing Gamification Strategies In Product Marketing, Sabrina Stone

CMC Senior Theses

Let’s play a game. What effect do you think video games have on twenty-first-century marketing? In this age defined by its nature of digitality, capturing the attention of consumers is an arduous competition. Through market segmentation, research, and the observable variables of consumer behavior, product marketing has turned to video games as a solution to appeal to younger demographics. Gamification is an increasingly applied product marketing strategy employed to increase favorable metrics. Of those key performance indicators (KPIs), boosted measures such as click-through rates, impressions, and engagement rates suggest that gamification is a strategic opportunity to persuade consumers to take …

An Analysis Of Salary Difference For Left-Handed Pitchers, Jarrett Korson

CMC Senior Theses

This thesis examines whether there is a difference in salary for left-handed pitchers in Major League Baseball. I review prior research regarding the valuation of MLB pitchers, salary discrimination in baseball, and left-handed pitchers to shape my methodology. Using Sean Lahman’s Baseball Database, I utilize various regression models to analyze effects on salary. Variables are transformed into cumulative, per 9- inning values and left-handed interaction variables are created to observe any difference in salary experienced only by left-handers. The models show that for variables with a statistically significant effect on salary, left-handers experience a statistically significant effect on salary above …

Modeling The Performance-Based Compensation Of Mlb Catchers, William Deforest

CMC Senior Theses

How professional baseball players are compensated for their on-field performance and contribution to winning baseball games has been studied many times by baseball analysts, yet no real attempt has been made to focus solely on the catcher position. As one of the most demanding and specialized positions in the game, a talented catcher is vital to a team’s success. This paper attempts to utilize Defensive Runs Saved (DRS) and Offensive Runs Above Average (OFF), leading statistics that use Statcast data to measure defensive and offensive productivity, to determine which area of catcher defense is the greatest differentiator between elite defensive …

Ads-B Communication Interference In Air Traffic Management, George Ray

International Journal of Aviation, Aeronautics, and Aerospace

Automated Dependent Surveillance Broadcast (ADS-B) provides position and state information about aircraft and is becoming an essential component in the global air traffic management system. ADS-B transponders broadcast this key information on a common frequency to both other aircraft and to secondary surveillance radar systems located at ground stations. Both the aircraft transponders and the ground stations work together to assist in managing the commercial airspace. Since the aircraft transponders all broadcast on the same frequency and are in close proximity there is an apparent risk of interference and the garbling of the communications needed to manage the airspace.

The …

Optimal Design And Operation Of Integrated Hydrogen Generation And Utilization Plants, Ijiwole Solomon Ijiyinka

Graduate Theses, Dissertations, and Problem Reports (ETD)

There are considerable efforts worldwide for reducing the use of fossil fuel for energy production. While renewable energy sources are being increasingly used, fossil fuel still contribute about 80% of the energy used worldwide. As a result, the level of CO₂ is still increasing fast in the atmosphere currently exceeding about 410 parts per million (ppm). For reducing CO₂ build up in the atmosphere, various approaches are being investigated. For the electric power generation sector, two key approaches are post-combustion CO₂ capture and use of hydrogen as a fuel for power generation. These two solutions can also …

Evaluating The Effect Of Nil Laws On College Athletic Department Revenue, Dylan C. Cherullo

Undergraduate Theses, Professional Papers, and Capstone Artifacts

This paper examines the impact of Name, Image, and Likeness (NIL) laws on revenue for public Division I universities' athletic departments, challenging the long-standing debate within the National Collegiate Athletics Association (NCAA). Utilizing panel data from the Knight Commission on College Athletics, which encompasses over 350 public Division I universities from 2002 to 2021, this study employs a difference-in-differences model. The model investigates state-level changes in university athletic department revenue from sponsorships (sponsrev), with special focus on the post-NIL law era. The analysis is bolstered by controls for various factors including ESPN’s FPI data, coach and equipment expenditures, and COVID-19 …

Pixel Tracking And Utms: A Study Of Nintendo Co., Ltd., Samantha S. Clevenger

Undergraduate Theses, Professional Papers, and Capstone Artifacts

No abstract provided.

Impacts Of Covid-19 On Industrial Growth In The United States, Emily G. Warthman, Charles J. Landis

Williams Honors College, Honors Research Projects

COVID-19 has caused massive ramifications on all parts of life in the world and industry growth/decline is not immune to it. This report will analyze nine different industries’ profit and revenue from quarterly data during the years 2009-2022. Forecast models will be generated using various methods and different techniques of validating to predict the values from Q2 2020- Q4 2022 based on historical data. After which, a comparison will be conducted between those predicted values to the actual average revenue and profit generated by order of greatest error percentage made. Thorough research will then be completed to determine if there …

Short-Term Prediction Of Icu Admission For Covid-19 Inpatients, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

Since the COVID-19 outbreak, many hospitals suffered from a surge of some high-risk inpatients needing to be admitted to the ICU. In this study, we propose a method

predicting the likelihood of COVID-19 inpatients’ admission to the ICU within a time frame of 12 hours. Four steps, the Bayesian Ridge Regression-based missing value imputation, the synthesis of training samples by the combination of two rows (the first and another row) of each patient, customized oversampling, and XGBoost classifier, are used for the proposed method. In the experiment, the AUC-ROC and F-score of our method is compared with those of other …

Thinking Local With Original Data In Ai And Machine Learning Research, David G. Taylor, Robert Mccloud

WCBT Working Papers

Sacred Heart University spent significant funds to establish an AI lab. Initially there is no ongoing research and no real plan for a research agenda. This paper details how the Jack Welch College of Business and Technology created and implemented an active meaningful research plan. It involves two key elements: thinking local and using business connections to foster active, impactful research. Surrounding communities, business connections, area environment, and other Sacred Heart University departments all played a part. The research plan also identifies a specific issue in working with local and business contact sources: the AI researcher almost never gets data …

Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun

College of Graduate Studies: Theses & Dissertations

Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …

Establishing A Market Capacity And Economic Baseline For Forest Biomass Utilization In The Southern Cascade And Northern Sierra Nevada Mountain Range, California, Clarke Stevenson

Cal Poly Humboldt theses and projects

Attempts to address wildfire risk and forest resilience have increased substantially over the last 20 years with specific interest in removing excess vegetation from stands, commonly referred to as “forest biomass”. However, the market capacity for and the economics of biomass utilization have been a limiting factor to achieving statewide goals for forest health and fire resilience. This thesis looks at the Southern Cascade and Northern Sierra Nevada biomass supply chain to benchmark current market capacity for biomass utilization through mapping and harvest record analysis. It also calculates the net revenue of biomass mobilization based on costs developed from a …

Integrating Big Data Analytics With U.S. Sec Financial Statement Datasets And The Critical Examination Of The Altman Z’-Score Model, Shiva Krishna Sadula

Masters

The main aim of this thesis is to document the process of developing Big Data analytical applications and their integration with financial statement datasets. These datasets are publicly available on the U.S. SEC (Security and Exchange Commission) website which contains the annual and quarterly reports of approximately 8000 companies. Through its Electronic Data Gathering, Analysis and Retrieval (EDGAR) system, the SEC receives several terabytes of data in the mandatory filings from its registrants. This vast amount of data can potentially provide a valuable resource for those parties (such as investors, analysts, regulators and researchers) who are interested in assessing the …

Esg Metric Variance And Methodology Standardization, Jordan Moyer

Honors Theses and Capstones

Across the globe Environmental, Social and Governance (ESG) scoring has become a tool used for mission-aligned investment. In the United States, there is no standardized method for scoring companies based on ESG practices; it is all completed by private companies with their own ways of managing data and creating scores. Corporate Social Responsibility (CSR) reporting, though mandatory in some countries, is also completely voluntary in the United States. CSR reports are a key part of the data collection used for ESG scoring. This research looks to understand how much CSR reporting is being influenced by ESG scoring methodologies, as well …

The Search For Value For New England Skiers, Colin J. Liebert

Honors Theses and Capstones

No abstract provided.