PENGARUH STOCK SPLIT, RIGHT ISSUE, DAN DIVIDEN SAHAM TERHADAP REAKSI PASAR DI…

Penelitian ini bertujuan untuk mengetahui pengaruh stock split, right issue, dan dividen saham terhadap reaksi pasar di perusahaan bursa efek indonesia. Jenis penelitian ini adalah penelitian kuantitatif. Sampel penelitian dipilih dengan menggunakan teknik purposive sampling didapatkan 81 perusahaan yang memenuhi kriteria dengan tahun pengamatan selama 5 tahun. Metode analisis yang digunakan ad…

PENGARUH ARUS KAS OPERASI, PERSISTENSI LABA, DAN FINANCIAL DISTRESS TERHADAP …

This study aims to examine the effect of operating cash flow, earnings persistence, and financial distress on accounting conservatism. This research uses a quantitative approach. The sample in this study were 21 companies in the Transportation and Logistics sector listed on the Indonesia Stock Exchange (IDX) in 2018-2022. This study uses a sampling method, namely purposive sampling. This resear…

PENGARUH AGENCY COST, INTELLECTUAL CAPITAL, KEPEMILIKAN MANAJERIAL, DAN KEPEM…

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh agency cost, intellectual capital, kepemilikan manajerial dan kepemilikan institusional terhadap nilai Perusahaan dengan kinerja keuangan sebagai variabel moderasi. Populasi pada penelitian ini adalah Perusahaan indeks LQ45 yang terdaftar di Bursa Efek Indonesia (BEI) periode 2020-2022. Penelitian ini merupakan penelitian kuantita…

PENGARUH DESENTRALISASI DAN KETIDAKPASTIAN TUGAS TERHADAP KINERJA MANAJERIAL …

This research aims to determine decentralization, the influence of task uncertainty on managerial performance, and the management accounting system influencing the relationship between decentralization on managerial performance and the management accounting system influencing task uncertainty on managerial performance. The type of data used in this research is primary data obtained manually. di…

PENGUNGKAPAN CORPORATE SOCIAL RESPONSIBILITY (CSR) MENGGUNAKAN GLOBAL REPORTI…

This research aims to examine the effect of financial performance as proxied by FDR, ROA, and CAR on company value with CSR disclosure using GRI and ISR as moderating variables. This research uses a quantitative approach with the type of data in the form of secondary data. Hypothesis testing in the research used multiple linear analysis techniques and Moderated Regression Analysis (MRA) with SP…

FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI PERUSAHAAN PADA PERUSAHAAN MAKANAN DAN …

This study aims to test and analyze the effect of profitability, debt policy, dividend policy, investment decisions, company size and liquidity on firm value. The research method uses quantitative methods with secondary data. The research sample was 10 companies obtained through purposive sampling technique. The data analysis technique uses multiple linear regression tests using SPSS 25. The re…

PERBANDINGAN KINERJA KLASIFIKASI ABNORMALITAS JANTUNG JANIN DENGAN MENGGUNAKA…

The use of Artificial Intelligence Technology in the field of Computer Vision has enabled the classification of fetal heart abnormalities by utilizing one of the Classification approaches. With technological advances, the image classification process can be implemented using Deep Learning (DL) models. This research uses the architecture of 10 Convolutional Neural Network Architectures for the F…

PENGARUH GREEN ACCOUNTING, ENVIRONMENTAL PERFORMANCE, DAN CORPORATE SOCIAL RE…

This research aims to empirically examine whether Green Accounting, Environmental Performance, and Corporate Social Responsibility (CSR) have a significant influence on Profitability in Healthcare Companies. The underlying theories for this research consist of two theories, namely Legitimacy Theory and Stakeholder Theory. The data used in this study are secondary data sourced from the Indonesia…

PENGARUH PENERAPAN RASIO KEUANGAN DAN GREEN ACCOUNTING TERHADAP KINERJA KEUAN…

Manufacturing companies as the most strategic land to get high returns in investing (Ministry of Industry, 2021). Investment in manufacturing companies has the potential to provide stable and long-term returns, because until now manufacturing companies are still the winners from their contribution to GDP in Indonesia (Marwah, 2023). This study aints to determine and analyze the effect of financ…

ANGGARAN PERUSAHAAN, BUKU 1, Edisi 2003/2004

Edition

-

ISBN/ISSN

979-503-249-6

Collation

viii, 324 hlm. ilus. 24 cm

Series Title

-

Call Number

658.154 Adi a

KLASIFIKASI MULTICLASS SINYAL ELEKTROKARDIOGRAM BERBASIS DEEP LEARNING MENGGU…

The use of Deep Learning (DL) models in signal processing aims to improve efficiency and effectiveness in extracting information from available data. This research aims to classify heart disease classes in a dataset of medical signals derived from Electrocardiograms. In this study, classification is performed on three heart disease classes: Normal, AF, and AFL. The method used in this research …

ANALISIS USER EXPERIENCE DISNEY+ HOTSTAR DENGAN MENGGUNAKAN USER EXPERIENCE Q…

With the advancement of the times, people have started using apps to fulfill their daily needs, such as reading news, shopping, and watching movies. Disney+ Hotstar is a video streaming platform that provides various types of movies. There are 107 people who have used the Disney+ Hotstar application throughout Indonesia as the subject of this research. The problem identified is why users prefer…

KEYPHRASE EXTRACTION PADA TEKS BERBAHASA INDONESIA MENGGUNAKAN METODE TOPICRANK

This study investigates the implementation as well as the performance of the application of TopicRank method on performing keyphrase extraction towards Indonesian text. The utilisation of keyphrase as one of the tools on managing the growing textual information drives the need for a relevant keyphrase extraction methodology. By developing the keyphrase extraction system, applying the extraction…

ANALISIS SENTIMEN CALON PRESIDEN 2024 PADA TWITTER MENGGUNAKAN SUPPORT VECTOR…

Twitter has many features that can be used. One of these features is that users can share tweets or news in the form of text, photos or videos. One of the useful data on information is sentiment analysis. To find out how much the response from the public is related to the 2024 Indonesian presidential election, is it more inclined to positive sentiment, negative or neutral sentiment. One method …

SISTEM TANYA JAWAB UNTUK PERTANYAAN APA MENGGUNAKAN METODE PENDEKATAN JARAK

Question Answering System (QAS) is a system designed to generate information quickly in the form of natural language. The information produced by this system consists of short text snippets as answers to user questions. In this research on Question Answering System (QAS), users can obtain answers related to non-factoid information questions. The generated information is close domain, sourced fr…

ANALISIS DAN PERANCANGAN UI/UX PADA SISTEM INFORMASI AKADEMIK UNSRI BERBASIS …

As far as we know, Sriwijaya University has an academic information system or SIMAK that helps Sriwijaya University’s people, especially students manage their needs on academic data. Since 2008, Sriwijaya University’s academic information system is only available on the website. As of the wide use of smartphones, many students have accessed academic information systems via mobile. However, …

ANALISIS SENTIMEN ULASAN PRODUK BERBAHASA INDONESIA MENGGUNAKAN DEEP LEARNING…

The phenomenon of electronic commerce arises as a result of the rapid development of technology and communication media. Product reviews are important information for users of electronic commerce media, but reviews are often written incorrectly. The Deep Learning method is a method that is developing very rapidly at this time. We used the Convolutional Neural Network method with the Word2Vec fe…

PREDIKSI TREND PERUBAHAN HARGA PADA SAHAM-SAHAM SYARIAH BURSA EFEK INDONESIA …

Stocks have high risks. Due to the high risks of stocks, investors can perform technical analysis before making decisions in buying and selling stocks. Technical analysis is done by using technical indicators, such as Moving Average Convergence Divergence (MACD), Exponential Moving Average (EMA), and Relative Strength Index (RSI). Machine learning methods can be used to perform technical analys…

SISTEM PENDUKUNG KEPUTUSAN PENYELEKSISAN PENERIMA PINJAMAN DENGAN MENGGUNAKAN…

Koperasi Kredit Rukun Palembang adalah koperasi yang bergerak dibidang simpan pinjam. Selama ini, sistem transaksi simpan pinjam masih menggunakan cara manual dalam prosesnya. Koperasi memberikan pinjaman dengan ketentuan kriteria-kriteria, dimana proses penilaian kriteria masih dilakukan secara manual, dalam penentuan pemberian pinjaman masih dilakukan dengan banyak berkas secara manual, apabi…

PENGENALAN OBJEK SECARA REAL TIME MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS M…

Object recognition is a technology related to Computer Vision which can detect and recognize objects in digital images. However, the process of detecting and recognizing objects is something that is very difficult to do by a computer due to the many factors that can affect the shape of the object in a digital image. In this study, researchers will discuss object recognition in real time using c…

PENCARIAN JUDUL KERJA PRAKTIK PROGRAM STUDI TEKNIK INFORMATIKA S1 DENGAN METO…

Case Base Reasoning (CBR) is a case solving technique based on experience in cases that have occurred before with the highest similarity. CBR is used to search for practical work titles. TF-IDF is applied to process the vectorization of each practical work title word and Cosine Similarity for the calculation of similarity values. The system can search either in the form of titles or keywords. T…

KLASIFIKASI RAMBU LALU LINTAS MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

Classification of traffic signs is considered as one of the most important parts of the Advance Driver Assistance System (ADAS) with the main objective of reducing the number of road accidents and overcoming wrong route selection. Convolutional Neural Network (CNN) is a type of neural network that is commonly used in image data. CNN can be used to recognize and detect objects in an image. Image…

DIALOGUE HISTORY HANDLING PADA E-COMMERCE CHATBOT BERBASIS FINITE STATE MACHINE

Chatbots are very popular as a means to enhance customer interactions and facilitate the shopping process in the e-commerce field. This research discusses an innovative approach utilizing chatbots based on the Finite State Machine (FSM) to facilitate the easy laptop ordering process within the e-commerce environment. The Finite State Machine (FSM) is a mathematical model used to represent syste…

PENDETEKSIAN OBJEK UNTUK PENYANDANG TUNANETRA MENGGUNAKAN METODE YOLO

A visually impaired individual faces limitations in mobility, which can affect their ability to communicate and interact with the surrounding environment. External help such as human assistance, trained dogs, and white canes are commonly used, but the availability and dependence on such assistance pose challenges. This research develops a mobile-based application that employs the You Only Look …

OBJEK TRACKING PENGUNJUNG PERPUSTAKAAN MENGGUNAKAN METODE HISTOGRAM OF ORIENT…

Surveillance in the library is significantly aided by the presence of CCTV surveillance cameras installed in specific pathways frequented by library visitors. Given the substantial number of visitors, it becomes essential to record the visitor count to gauge the extent of library utilization. Detection and tracking of human objects pose unique challenges in developing software on computers to r…

PENDETEKSIAN PEMAKAIAN MASKER WAJAH MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

Pemakaian masker merupakan salah satu langkah untuk mencegah penyebaran suatu penyakit. Pemakaian masker tersebut berdasarkan kebutuhan, seperti sedang sakit, sedang melakukan kontak dekat dengan orang yang terinfeksi penyakit menular. Pemakaian masker ini dianjurkan di tempat-tempat tertentu seperti UGD, rumah sakit, dan KRL. Deteksi pemakaian masker wajah dapat dilakukan dengan mendeteksikan …

PERAMALAN HARGA JUAL BATUBARA PT. BUKIT ASAM TANJUNG ENIM MENGGUNAKAN METODE …

Coal is one of the natural resources that is much targeted by the world by having a fairly high sales price. Erratic coal selling prices can affect the income of companies, regions and even countries and surrounding communities. Therefore, a system is needed to forecast future coal prices which will later help the decision-making process for the company. Forecasting is carried out using the ave…

PARAPHRASE GENERATION UNTUK TEKS BAHASA INDONESIA MENGGUNAKAN LONG SHORT TERM…

In the field of Natural Language Processing, there is a research area called Paraphrase Generation, which refers to the process of producing sentences that are semantically equivalent to the input sentence. With the advancement of neural methods, paraphrase generation, which previously relied on template-based approaches or static machine translation, can now utilize one of the neural methods, …

PENGENALAN WAJAH BERMASKER SECARA REAL-TIME MENGGUNAKAN METODE YOLOv5

The government requires people to wear face masks to reduce the transmission of the COVID-19 virus. Face recognition system becomes less effective at recognizing masked faces. In this research, a software is developed to recognize masked face in real-time using the YOLOv5 method. Training of the model was done with 9 different configurations of epoch and batch size, of which the best result was…

 KLASIFIKASI CITRA TUMOR OTAK BERBASIS CONVOLUTIONAL NEURAL NETWORKS (CNN)

Brain tumors are still a dangerous and deadly disease that can affect anyone, including children. Brain tumors can be detected by Magnetic Resonance Imaging (MRI) examination. This study aims to classify brain tumors and non-brain tumors from MRI image processing results using the Convolution Neural Networks (CNN) method. This research uses the architecture of VGG-16, ResNet-50, InceptionV3, Mo…