PENGALOKASIAN OPTIMAL UNIT EMERGENCY DI KOTA PALEMBANG DENGAN PROFILE MATCHIN…

Aksesibilitas dan kualitas layanan kesehatan darurat di Kota Palembang sangat bergantung pada penentuan lokasi unit emergency yang optimal. Penelitian ini bertujuan untuk menentukan unit emergency yang optimal di setiap kecamatan di Kota Palembang dengan menggunakan metode Profile Matching (PM) dan Simple Additive Weighting (SAW). Evaluasi didasarkan pada enam kriteria, diantaranya tingkat pela…

IMPLEMENTASI METODE COMPLEX PROPORTIONAL ASSESSMENT (COPRAS) DAN MULTI-OBJECT…

Unit Emergency, yaitu UGD maupun IGD, memiliki peran krusial dalam penanganan awal pasien dengan kondisi kritis dan mengancam jiwa. Di Kota Palembang, distribusi fasilitas Unit Emergency yang belum merata berdampak pada aksesibilitas masyarakat terhadap layanan darurat. Penelitian ini bertujuan untuk menentukan lokasi optimal rumah sakit dengan fasilitas Unit Emergency dari 31 alternatif di Kot…

METODE K-MEDOIDS UNTUK PENGELOMPOKAN KABUPATEN/KOTA DI PROVINSI SUMATERA SELA…

Tingginya prevalensi stunting di Provinsi Sumatera Selatan menunjukkan bahwa permasalahan gizi pada anak masih menjadi tantangan serius. Selain itu, faktor faktor penyebab stunting diketahui bervariasi antarwilayah, sehingga diperlukan analisis pengelompokan untuk memahami pola kemiripan antar kabupaten/kota berdasarkan faktor-faktor yang berkaitan dengan kejadian stunting. Penelitian ini bertu…

IMPLEMENTASI METODE ADAPTIVE BOOSTING (ADABOOST) DALAM KLASIFIKASI KEJADIAN H…

Classifying rainfall events can be challenging when the available data is incomplete or contains missing values. Several imputation methods can be used to address missing data, such as the mean imputation method and the K-Nearest Neighbors Imputation method. For classification purposes, many techniques can be utilized, one of which is the Adaptive Boosting (AdaBoost) method. AdaBoost is designe…

ANALISIS KONFIGURASI BIPLOT ELEMEN-ELEMEN CUACA MENGGUNAKAN ANALISIS PROCRUST…

Changes in weather elements can affect various sectors such as agriculture, economy, tourism, and disaster mitigation, especially in tropical regions such as Pagar Alam Municipality. This study aims to analyze weather elements in Pagar Alam in 2020, 2021, and 2022 using biplot analysis and comparing biplot configurations using Procrustes analysis. Weather elements include Tmax (Maximum temperat…

PERBANDINGAN BIPLOT INDIKATOR KEPENDUDUKAN DI INDONESIA TAHUN 2020, 2023, DAN…

Indonesia is the fourth most populous country in the world after India, China, and the United States. This condition creates various challenges in resource management and national development, especially in equal access to education, health, and public welfare. This study aims to compare population indicators in Indonesia in 2020, 2023, and 2024. The data matrix includes birth and mortality rat…

KEBIJAKAN INVENTORI OPTIMAL PRODUKSI BERAS DI PERUM DIVRE BULOG SUMSEL DAN BA…

Permintaan yang berfluktuasi pada dua jenis produk beras yaitu PSO dan KOM di Perum Bulog Divre Sumsel dan Babel membuat persediaan pada gudang sering kali mengalami kekurangan dan kelebihan stok. Ketika terjadi kekurangan stok, perusahaan harus melakukan pemesanan kembali yang berdampak pada peningkatan biaya serta menurunnya tingkat kepuasan pelanggan. Untuk mengatasi permintaan yang bersifat…

ANALISIS REGRESI DATA PANEL UNTUK MELIHAT FAKTOR YANG MEMPENGARUHI HARGA SAHA…

Stock price represents the market value of a company formed through the interaction of supply and demand in the stock market. An increase in stock price typically reflects an improvement in firm value and strengthens investor confidence. This study aims to determine the most factors influencing stock prices among energy sector companies listed on the Indonesia Stock Exchange (IDX) during the pe…

IMPLEMENTASI MODEL AUTOREGRESSIVE INTGRATED MOVING AVERAGE (ARIMA) DALAM PERA…

Ethereum (ETH) is one of the largest cryptocurrency by market capitalization and is widely utilized in various blockchain-based applications. The fluctuating nature of Ethereum’s price requires forecasting to assist investors in predicting potential price movements and investment risks. This study aims to identify the best ARIMA model for forecasting daily Ethereum prices. The data used consi…

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…

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xvi, 107 hlm.; ilus.; 29 cm

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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…