EKSPLORASI BUDAYA PETANI TAMBAK UDANG DI KABUPATEN OGAN KOMERING ILIR SUMATER…

This study aims to explore the culture of shrimp farmers and develop a dummy regression model to predict shrimp harvest yields. The data used is primary data obtained through surveys and interviews with shrimp farmers in Bumi Pratama Mandira Village, Ogan Komering Ilir Regency. A qualitative approach with a descriptive narrative method was used to explore cultural aspects, while a quantitative …

PEMODELAN REGRESI SPASIAL PREVALENSI KETIDAKCUKUPAN KONSUMSI PANGAN BERDASARK…

This study aims to model and analyze the factors that influence the Prevalence of Undernourishment (PoU) at the regency/city level in Indonesia. The method used is spatial regression. The analysis was conducted separately for the five major islands in Indonesia, namely Sumatra, Java, Kalimantan, Sulawesi, and Papua. The data used included PoU as the dependent variable and seven independent vari…

KLASTERISASI WILAYAH DI INDONESIA BERDASARKAN INDIKATOR PREVALENSI KETIDAKCUK…

The Prevalence of Undernourishment (PoU) is an important indicator for describing the state of food security in Indonesia. This study aims to Cluster regency/city in Indonesia based on seven PoU-related indicators. The Clustering method used is K-Means Clustering. The indicators analyzed include Rice Production, Population Density, Percentage of Poor Population, Percentage of Per Capita Expendi…

CLASSIFICATION AND REGRESSION TREE UNTUK MENGKLASIFIKASIKAN TINGKAT PREVALENS…

This study aims to classify the Prevalence of Undernourishment (PoU) in regencies/cities in Indonesia. The method used is Classification and Regression Tree (CART). The data used is secondary data covering Rice Production (Produksi Beras, PB), Population Density (Kepadatan Penduduk, KP), Percentage of Poor Population (Persentase Penduduk Miskin, PPM), Percentage of Per Capita Food Expenditure (…

MODEL INVENTORI BARANG FARMASI YANG DETERIORATING PADA TINGKAT PERMINTAAN MEN…

In this study, a deteriorating inventory model of pharmaceutical goods with a demand level using a cosine function that considers the storage level is developed. The mathematical model formulation in this research is assisted by WolframAlpha software while the numerical calculation uses the help of Google Colab software. The results showed that the sensitivity analysis carried out affected the …

ANALISIS K-MEANS CLUSTERING UNTUK MENGELOMPOKKAN WAKTU MINGGUAN BERDASARKAN E…

Infused water or spa water is water that is added with pieces of fruit and left to stand for a few hours until the juice comes out, then ready to be consumed, thus providing flavor and health benefits. The lime peel of an orange contains more than 60% flavonoids and 170 different types of phytonutrients. Processing lime as an infused water drink can be an alternative to overcome acidity in citr…

PENERAPAN METODE CONVEX COMBINATION PADA SISTEM PERENCANAAN KEBIJAKAN PERSEDI…

Edition

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xvi, 107 hlm.; ilus.; 29 cm

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Call Number

T1577192024

MODEL HETEROGENEOUS FLEET VEHICLE ROUTING PROBLEM UNTUK MENYELESAIKAN PENDIST…

Hidayat Chicken Slaughter House (RPA HDT) is a business that supplies broilers in the city of Palembang which has several restaurant customers spread from the city of Palembang to the city of Banyuasin. RPA HDT serves 9 restaurants by L300 Pickup Cars, 5 restaurants by Honda Vario Motorbikes, and 5 restaurants by Honda Revo Motorbikes. The aim of this research is to minimize the distribution di…

PENERAPAN K-NEAREST NEIGHBORS DAN RANDOM OVERSAMPLING PADA KLASIFIKASI KEJADI…

Before performing classification, it is important to ensure that the dataset used does not contain missing data and imbalanced data. Missing data is a condition where some information or data from the dataset is not available. Imbalanced data is a condition where the number of observations in one class in a dataset is much greater than the number of observations in other classes. The purpose of…

ANALISIS VARIABEL-VARIABEL YANG MEMENGARUHI KETIMPANGAN PENDAPATAN DI 12 KABU…

Income inequality is a problem of uneven distribution of income across regions. In South Sumatra, this income inequality is considered moderate when measured by the Gini ratio. This study aims to identify the variables that significantly affecting income inequality in 12 regencies/municipalities in South Sumatra Province from 2019 to 2023 using panel data regression. Panel data is a combination…

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…