MODEL INVENTORI PADA BARANG FARMASI YANG DETERIORATING DENGAN TINGKAT PERMINT…

This research formulates an inventory model for pharmaceutical items that deteriorates over time due to their logarithmically changing demand and by considering quadratic storage rates. The optimal solution indicates that when the inventory reaches zero (t_1^*) the value is 0.965627 and the cycle length (T_1^*) is 855.22268 resulting in an average minimum total cost ((TC) ̅) of $3.1306×10^4 p…

IMPLEMENTASI ALGORITMA ITERATIVE DICHOTOMIZER THREE (ID3) PADA FUZZY DECISION…

Heart disease is one of the diseases with high mortality rates worldwide. The fuzzy decision tree method was chosen for its ability to handle uncertainty and the complexity of medical data, while the ID3 algorithm is used to select the best attribute at each decision tree node based on information gain. The data used includes medical information related to risk factors for heart disease, such a…

ANALISIS REGRESI SPASIAL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI JUMLAH KASUS HI…

HIV/AIDS cases in an area may be influenced by the adjacent areas. Analysis of factors affecting HIV/AIDS cases can be done through classical Linear Regression. However, spatial regression analysis is a more suitable method to use if location is taken into account. The purpose of this research is to perform a spatial regression analysis on the HIV/AIDS cases in Indonesia in 2021. Spatial depend…

PERBANDINGAN INDEKS PEMBANGUNAN MANUSIA (IPM) PROVINSI PAPUA TAHUN 2020, 2022…

The Human Development Index (HDI) is an important indicator to measure the level of welfare of the people of a region. Papua Province has abundant natural resource potential, but Papua's HDI level is the lowest in Indonesia. The purpose of this study is to compare the HDI of Papua Province in 2020, 2022, and 2023. The data matrix of the HDI includes Life Expectancy (LE), Expected Years of Schoo…

ANALISIS SEGMENTASI SPBU DI KOTA PALEMBANG BERDASARKAN POLA TRANSAKSI PADA AP…

K-Means Clustering is a method for grouping data into a number of clusters based on similarity of characteristics. This study aims to group 36 gas stations in Palembang City based on gas station transaction patterns in 2023. This study used four variables, namely sales volume, stock quantity, transaction quantity, and revenue. Data analysis started with understanding the data and ended by evalu…

EVALUASI KINERJA MODEL KLASIFIKASI KEJADIAN HUJAN KABUPATEN OGAN ILIR DENGAN …

Rainfall is a key component of the water cycle and plays an important role in the ecosystem, especially in tropical regions such as Indralaya Regency. Rain affects various operational aspects in the field, particularly in agriculture and plantations. Binary Logistic Regression and K-Nearest Neighbor (KNN) can be used to classify rainfall events. One common issue in rainfall event classification…

KOMBINASI ARSITEKTUR DENSENET BOTTLENECK LAYER DAN GATE RECURRENT UNITS (GRU)…

Glaucoma is a chronic eye disease that can lead to blindness. Glaucoma detection can be done by classification using the DenseNet architecture. DenseNet provides good model performance, but often suffers from overfitting. Bottleneck layers can be used to prevent overfitting by reducing the feature dimensions before entering deeper layers. However, reducing the feature dimension may lead to the …

IMPLEMENTASI TEKNIK PREPROCESSING DALAM MODEL GILMORE AND GOMORY DAN MODEL CO…

Cutting Stock Problem (CSP) is a problem of cutting raw materials into several smaller pieces or also known as items to meet user demand. This research implements Preprocessing techniques in the Gilmore and Gomory model, and Column Generation in CSP as a result of research by Bangun et al. (2021). Furthermore, the Gilmore and Gomory model from research by Bangun et al. (2021) called the Bangun …

KOMBINASI METODE MICE DAN ADASYN UNTUK PENANGANAN DATA HILANG DAN KETIDAKSEIM…

The quality of data is determined by several factors, namely data completeness and data balance. The University of California Irvine (UCI) heart disease dataset has issues with missing data and data imbalance, which, if not addressed, can lead to reduced model prediction accuracy and errors in data interpretation. Missing data can be handled using several methods, one of which is data imputatio…

PENERAPAN MULTIPLANAR RECONSTRUCTION PADA ARSITEKTUR U-RESNET DAN MOBILENET D…

U-Net is commonly used for medical image segmentation, such as liver organ segmentation. One tool that can visualize the morphology, shape, and position of the liver is a 3D Abdominal Computed Tomography (CT) Scan. However, U-Net requires a large amount of data for training, and 3D liver datasets are still very limited. Additionally, 3D images have complex structures. A solution to address data…

PENERAPAN METODE FUZZY LOGIC SUGENO DALAM MENENTUKAN KARYAWAN TERBAIK DI PT. …

Each employee has different abilities and qualities. Employee abilities are also a supporting factor in a company. Therefore, it is important for companies to choose the best employees, namely those who are suitable and meet the company's criteria as production employees. Thus, employees can work optimally, with quality, and last for a long time. However, until now, the selection of the best em…

IMPLEMENTASI KNN-SMOTE-ROS-RUS DALAM MENGKLASIFIKASIKAN KEJADIAN HUJAN MENGGU…

Topographically, Palembang city consists mostly of swamps and lowlands. The city's condition of being surrounded by rivers and its moderate annual rainfall of 2500-3000 mm makes Palembang prone to flooding. Therefore, accurately predicting rainfall events is crucial to minimize the impact on daily activities. The rainfall prediction classification process, missing data and imbalanced data were …

ANALISIS OPTIMASI PORTOFOLIO PADA INVESTASI SAHAM DENGAN VALUE AT RISK

This study aims to form an optimal portfolio of LQ45 stocks by maximizing returns and minimizing risk using the Value at Risk (VaR) approach. Daily closing price data of 45 LQ45 stocks from February 2023 to January 2024 were analyzed through three stages: (1) analysis of stock characteristics (return, volatility, inter-sector and inter-stock correlation); (2) selection of portfolio candidates b…

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DALAM PENGAMBILAN KEPUTUSAN …

Blood is one of the important components of living beings. A lack of blood in the body can trigger the onset of many diseases, making it necessary to take measures to prevent blood deficiency. The high demand for blood requires the Indonesian Red Cross (PMI) and medical personnel to carry out the blood collection process according to regulations and the needs of patients, which involves objecti…

EKSPLORASI GRAFIS DARI MATRIKS DATA BUAH CERI HIJAU KOPI ROBUSTA DENGAN MENGG…

This research was motivated by the importance of understanding the factors that influence the production of green coffee cherry in Robusta coffee. One of the factors is the branching structure of the tree, which consists of primary, secondary, and tertiary branches. The data used in this study were secondary data obtained from observations of green coffee cherry production in Robusta coffee dur…

SEGMENTASI TUMOR HATI PADA DATA CT-SCAN MENGGUNAKAN KOMBINASI DEEPLABV3+, EFF…

Liver tumor is a condition where there is abnormal cells that grow in the liver and causes the important role of the liver organ to be distrupted. The process of separating abnormal cells and healthy tissue in liver tumors can be done by image segmentation using Convolutional Neural Network (CNN). This study proposes liver tumor segmentation on CT-scan data using a combination of DeepLabV3+, Ef…

ANALIS DATA PANEL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI HARGA SAHAM (STUDI KAS…

The stock price is the current market price determined by supply and demand on the stock exchange. A high share price reflects the high value of the company and creates investor confidence. The purpose of this study is to find out to obtain the best panel data regression model estimates and factors that affect stock prices in companies listed on the LQ-45 index for 2019-2023. The data used is s…

PERBANDINGAN REPRESENTASI LUAS LAHAN DAN HASIL PRODUKSI PERKEBUNAN DI INDONES…

Indonesia is a country that has quite a large area of agricultural land and diverse and abundant natural resources, one of which is plantation products. Thus, there is a need to increase and empower plantation production in Indonesia itself. This research discusses a comparison of the representation of land area and plantation production in each province based on data from the Indonesian Direct…

ANALISIS CLUSTER METODE AVERAGE LINKAGE UNTUK MENGELOMPOKKAN WILAYAH DI PROVI…

Stunting masih menjadi masalah kesehatan yang dihadapi Indonesia. Stunting adalah kondisi di mana anak balita (bayi di bawah lima tahun) mengalami pertumbuhan yang terhambat akibat kekurangan gizi kronis, sehingga tinggi badannya tidak sesuai dengan usianya. Kondisi Stunting pada provinsi Nusa Tenggara Timur dapat diketahui dengan melakukan pengelompokkan wilayah berdasarkan faktor risiko penye…

PERBANDINGAN ANALISIS PERAMALAN ARIMA, SARIMA DAN EXPONENTIAL SMOOTHING HOLT-…

This study compares the accuracy of ARIMA, SARIMA, and Exponential Smoothing Holt-Winters models in forecasting coal prices. Coal prices that change over time require price forecasting to support decision making. Therefore, this study forecasts coal prices through ARIMA, SARIMA and Exponential Smoothing Holt-Winters to obtain the best method in forecasting coal prices from November 2024 to Octo…

MODEL REGRESI LOGISTIK BINER PADA KEJADIAN BALITA STUNTING DI KECAMATAN LAWAN…

This study aims to determine the binary logistic regression model and the variables that significantly affect the incidence of stunting in Lawang Kidul sub-district. The method used is binary logistic regression analysis for the dependent variable which is categorized into two, namely not stunted and stunted. The data analyzed were respondents aged 0-59 month who had stunted and normal nutritio…

MENERAPKAN MODEL REGRESI POISSON PADA PENDUGAAN JUMLAH ANGKA KEMATIAN BAYI NE…

This study aims to obtain a Poisson regression model for the number of neonatal mortality cases in Indonesia in 2022. The method used is Poisson regression analysis. The data were sourced from the website of Indonesian ministry of Health. The neonatal mortality data from Indonesia, covering 34 Provinces, include independent variables that are suspected factors influencing neonatal mortality. Th…

MODIFIKASI U-NET DENGAN SPATIAL PYRAMID POOLING, CONVMIXER, DAN ATTENTION GAT…

Breast cancer is a type of cancer characterized by a lump caused by the growth of abnormal cells in the breast. Early diagnosis of breast cancer is performed by separating normal and abnormal tissue using automatic segmentation. Automatic segmentation can be performed using a Convolutional Neural Network (CNN) architecture, namely U-Net. In the U-Net architecture, feature extraction in the enco…

KLASIFIKASI KEJADIAN HUJAN KOTA PRABUMULIH MENGGUNAKAN METODE DECISION TREE T…

Classification of rainfall events in Prabumulih City is important because it affects the agricultural and plantation sectors, especially oil palm and rice. Ecologically, oil palm and rice require a lot of water in the growth process and will thrive in an environment with sufficient soil moisture. In addition to its benefits to the agricultural and plantation sectors, the classification of rainf…

KLASIFIKASI BAHAGIA BERDASARKAN FASILITAS UMUM MENGGUNAKAN METODE DECISION TREE

Happiness for many people is pleasure, tranquility, success in obtaining what is desired, joy, or satisfaction with an event. Happiness is the opposite condition of suffering and hardship. This study aims to classify the status of happiness based on public facilities using the decision tree method using data used taken from kanggle.com. The database consists of 143 data, there are 6 predictor v…

MODEL SKEMA PEMBIAYAAN IMPROVED DYNAMIC SPECTRUM DAN TRAFFIC MANAGEMENT BERBA…

This research aims to design a Cloud Radio Access Network (C-RAN) Fair Network model based on Demand Response and Heterogeneous Incentives using a linear utility function and optimizing the problem of consumers using bandwidth using three financing schemes, namely: flat-fee, usage based and two-part tariff. Then perform a sensitivity analysis to identify parameter changes that can generate prof…

METODE K-MEANS UNTUK PENGELOMPOKAN KABUPATEN/KOTA DI PROVINSI JAMBI BERDASARK…

Cluster analysis is a multivariate statistical analysis method used to group variables or objects into several groups that have certain similar characteristics so that each group will contain homogeneous objects. K-Means is one of the non-hierarchical data clustering or partitional clustering methods. Education is a fundamental need that must be fulfilled in social life. The problem of uneven e…

METODE FUZZY DECISION TREE UNTU MENGKLASIFIKASI TINGKAT KEKASARAN PERMUKAAN BAJA

Logam yang banyak digunakan dalam bidang industri permesinan dan konstruksi adalah baja. Baja dimanfaatkan dalam pembagunan gedung, peralatan rumah tangga, kendaraan dan lainnya. Kualitas produksi baja dapat ditingkatkan dan masa pakainya diperpanjang melalui pengurangan tingkat kekasaran permukaan baja. Kekasaran permukaan merupakan ukuran ketidakteraturan mikro pada permukaan suatu benda yang…

SEGMENTASI KANKER PAYUDARA PADA BREAST ULTRASOUND IMAGES MENGGUNAKAN MODIFIKA…

Edition

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ISBN/ISSN

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Collation

xiii, 104 hlm.; ilus.; tab.; 29 cm.

Series Title

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Call Number

T1801952025

METODE FUZZY NAÏVE BAYES UNTUK MENGKLASIFIKASI TINGKAT KEKASARAN PERMUKAAN BAJA

Baja merupakan perpaduan antara besi, karbon dan unsur lainnya. Pengaplikasian baja diatur oleh International Organization of Standardization (ISO) seperti ISO 4948 yang mengatur klasifikasi jenis baja berdasarkan komposisi kimianya dan ISO 8503 yang mengatur tingkat kekasaran permukaan baja. Pengaplikasian baja di beberapa material memerlukan tingkat kekasaran yang berbeda. Pengklasifikasian k…