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…

MODEL INVENTORI DETERIORATING BARANG FARMASI PADA TINGKAT PERMINTAAN MENGGUNA…

In this study, an inventory model is formulated for pharmaceutical goods that deteriorate over time due to their changing demand. The optimal solution shows that when the inventory

PERAMALAN HARGA CRYPTOCURRENCY JENIS BITCOIN MENGGUNAKAN METODE AUTOREGRESSIV…

Bitcoin is a type of cryptocurrency that has the largest market capitalization as a digital investment tool. Bitcoin prices often fluctuate so forecasting is necessary to help investors predict the profits of their digital investments. The aim of this research is to form the best ARIMA model to predict Bitcoin prices for 30 days. The method used to form the model is the ARIMA method. The ARIMA …

PENERAPAN METODE FUZZY DECISION TREE UNTUK KLASIFIKASI KUALITAS UDARA DKI JAK…

Polluted air is one of the factors causing environmental damage caused by human activities, and humans also feel the adverse effects of air pollution. DKI Jakarta is one of the provinsi with industry and a large population so that the level of air pollution is getting higher. Calcification of air quality is useful because air quality affects health and causes many diseases. Air quality can be k…

METODE DBSCAN (DENSITY-BASED SPATIAL CLUSTERING OF APPLICATIONS WITH NOISE) U…

This study employed the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) method to cluster the digital library application usage patterns of fifth-grade students at SD Negeri 11 Indralaya. Data were collected from 75 students, and the variables analyzed included activity level, reading duration, comprehension level, and question-answering ability. The clustering results reve…

IMPLEMENTASI METODE CHEAPEST INSERTION HEURISTIC DAN HILL CLIMBING DALAM MENE…

The waste transportation route issue in Pulau Semambu Village can be addressed using heuristic algorithms, such as the Cheapest Insertion Heuristic (CIH) and Hill Climbing (HC). Pulau Semambu Village has one Final Disposal Site (FDS) and divides waste disposal area into three Work Areas (WA), each containing four Temporary Disposal Sites (TDS). The aim of this study is to determine the minimum …

UJI PERBEDAAN PERSEPSI TINGKAT KEPUASAN MAHASISWA TERHADAP PELAYANAN DI FAKUL…

Service quality is a very important thing to pay attention to in every service, including educational services at the Faculty of Mathematics and Natural Sciences, Sriwijaya University. Service quality needs to be evaluated continuously to make plans to increase satisfaction with services provided, in this case students. Service evaluation can be done by analyzing students' perceptions of the le…

MODEL SKEMA PEMBIAYAAN IMPROVED DYNAMIC SPECTRUM DAN TRAFFIC MANAGEMENT BERBA…

The purpose of this research is to design and optimize a demand response based selfish user Cloud Radio Access Network (C-RAN) model with isoelastic utility function using three financing schemes namely flat fee, usage based, two-part tariff. The data in this study is secondary data, namely traffic data which is divided into incoming data and outgoing data, obtained from local servers in Palemb…

MODEL REGRESI DATA PANEL PADA PENGARUH FAKTOR CURAH HUJAN TERHADAP PRODUKSI K…

Abstract South Sumatra Province has a large area of coffee plantations and is also the highest con-tributor to coffee production in Indonesia. Rainfall is one of the factors that can be determine the amount of coffee productions. This research aims to obtain a panel data regression model of the influence of land area and rainfall on coffee production in South Sumatra Province on 2014 - 2021. Th…

PENENTUAN LOKASI TEMPAT PENAMPUNGAN SEMENTARA SAMPAH MENGGUNAKAN FORMULASI MO…

This research will optimize the temporary waste disposal sites (TWDS) in Sukarami District. The location optimization carried out is using the Set Covering Problem (SCP) model and the Robust Maximal Covering Location Problem (Robust MCLP). Sukarami sub-district has 26 waste stations. The results of SCP model obtained 7 optimal TWDS in Sukarami sub-district. While the results of Robust MCLP mode…

METODE ENSEMBLE PADA ARSITEKTUR VGG-16 DAN VISION TRANSFORMER DALAM KLASIFIKA…

Diabetic retinopathy (DR) is a complication of the retina caused by diabetic disease. DR can be identified through images of the retina of the eye. One of the architectures that is often used to identify DR is VGG-16. VGG-16 is capable of handling large amounts of data and large attributes. However, the overfitting often occurs due to deep layers and multiple convolutions. Another method in dee…