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PEMILIHAN CLUSTER OPTIMAL UNTUK PENGELOMPOKKAN PROVINSI RAWAN KRIMINALITAS DI…
Cluster analysis is one method that is usually used to group objects into groups that are similar to each other based on their characteristics. This study aims to cluster 34 provinces in Indonesia based on the number of crime cases in 2022 using the K-Means clustering method. Provinces are grouped based on crime cases, which include 8 variables, namely murder, domestic violence, rape, kidnappin…
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- xv, 69 hlm.; ilus.; tab.; 29 cm.
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- T1694722025
PEMODELAN REGRESI LOGISTIK BINER UNTUK MENGETAHUI FAKTOR-FAKTOR YANG BERPENGA…
Poverty is a condition in which a person is unable to obtain sufficient resources to meet the minimum basic needs and lives below this minimum level. Indonesia is one of the countries with a low poverty percentage of 9.36%. However, several provinces in Indonesia still have relatively high poverty percentages. This study aims to identify the significant factors influencing the poverty rate in I…
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- xv, 82 hlm.; ilus.; tab.; 29 cm.
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- T1695342025
PENERAPAN MODEL REGRESI DATA PANEL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI INDEK…
The Human Development Index (HDI) is a key indicator for measuring societal welfare, encompassing the dimensions of health, education, and living standards. Papua Province has the lowest HDI in Indonesia despite its abundant natural resources. This study aims to determine the best panel data regression model and identify factors influencing the HDI in districts/municipalities of Papua Province …
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- xii, 71 hlm.; ilus.; tab.; 29 cm.
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- T1695312025
PENENTUAN CLUSTER TERBAIK AVERAGE LINKAGE BERDASARKAN 5 METODE EVALUASI UNTUK…
Cluster analysis is used to group similar objects based on characteristic similarities within a dataset of interest. Cluster analysis is divided into two methods: hierarchical and non-hierarchical methods. The hierarchical method has the advantage of faster processing, thus reducing data processing time. One of the hierarchical cluster analysis methods is the Average Linkage method. This study …
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- xiv, 84 hlm.; ilus.; tab.; 29 cm.
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- T1695322025
OPTIMASI PERSEDIAN BAHAN BAKU KUE PADA USAHA SNACK NYOKAP MENGGUNAKAN METODE …
Nyokap Snack business faces challenges in managing raw material inventory, such as fluctuations in demand and the risk of raw materials with short shelf life, in order to avoid excess or shortage of cake raw materials efficiently. In this study, the Activity Based Costing (ABC) classification method is applied to determine the priority of raw materials and the Economic Order Quantity (EOQ) mode…
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- xiii, 49 hlm.; ilus.; tab.; 29 cm.
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- T1695772025
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 …
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- xii, 71 hlm.; ilus.; 29 cm
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- T1400592024
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…
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- xv, 53 hlm.; ilus.; 29 cm
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- T1283762023
KEMAMPUAN PENALARAN MATEMATIS DALAM MENYELESAIKAN SOAL MATEMATIKA TIPE PISA K…
Mathematical reasoning ability is a basic ability in learning that is important for students to master in order to understand mathematical concepts well. The mathematical reasoning ability of students in Indonesia is low. This can happen because students are not used to working on problems that require reasoning in solving them. This study aims to describe the mathematical reasoning ability in …
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- xiii, 111 hlm.; ilus.; tab.; 29 cm.
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- T1690572025
KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA PADA MATERI LIMAS MENGGUNAKAN PRO…
This research is quantitative-qualitative descriptive research that aims to describe students' mathematical problem-solving skills on pyramid material using the PBL model assisted by GeoGebra AR. The subjects in this study were students of class VIII.7 SMP Negeri 4 Prabumulih, as many as 30 students. The implementation of the research was carried out through a written test with two test items o…
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- xviii, 293 hlm.; ilus.; tab.; 29 cm.
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- T1694332025
PENERAPAN PEMBELAJARAN GEOMETRI MELALUI PROJECT BASED LEARNING UNTUK MENGETAH…
Penelitian ini bertujuan untuk mendeskripsikan bagaimana sikap siswa terhadap pembelajaran geometri melalui project based learning di MTs Negeri 1 Ogan Ilir. Penelitian ini merupakan penelitian kuantitatif deskriptif (statistik deskriptif) dengan subjek penelitian yaitu siswa kelas IX.2 di MTs Negeri 1 Ogan Ilir yang berjumlah 34 siswa. Teknik pengumpulan data yang digunakan adalah angket atau …
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- xiv, 114 hlm.; ilus.; tab.; 29 cm.
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- T1689672025
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…
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- xiii, 85 hlm.; ilus.; tab.; 29 cm.
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- T1694432025
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 …
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- xv, 95 hlm.; ilus.; tab.; 29 cm.
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- T1693212025
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…
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- xiii, 61 hlm.; ilus.; 29 cm
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- T1396002023
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…
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- xi, 62 hlm.; ilus.; 29 cm
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- T1397612024
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…
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- xiii, 80 hlm.; ilus.; 29 cm
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- T1396892023
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…
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- xii, 51 hlm.; ilus.; 29 cm
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- T1401722024
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…
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- xii, 82 hlm.; ilus.; 29 cm
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- T1396132023
ANALISIS REGRESI DATA PANEL TERHADAP TINGKAT KEJAHATAN DI PROVINSI SUMATERA S…
Crime is an action that can threaten the sense of security in social life. Crime cases in South Sumatra Province in 2020 to 2022 increased, and during this period Indonesia experienced a pandemic. This research aims to examine the factors that influence crime rates in South Sumatra Province during the pandemic using panel data regression. Panel data regression is a regression that combines time…
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- xiv, 81 hlm.; ilus.; 29 cm
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- T1428972024
PENERAPAN REGRESI RIDGE UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI PERS…
Ridge Regression is a method to deal with multicollinearity problems in regression modeling problems. This study aims to determine the factors that affect the percentage of poor population in Indonesia based on the Ridge Regression model of the percentage of poor population and determine the factors that affect the percentage of poor population in Indonesia based on the best Ridge Regression mo…
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- xiv, 103 hlm.; ilus.; 29 cm
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- T1461132024
K-MEANS UNTUK MENGANALISIS PERUBAHAN PENGELOMPOKAN KABUPATEN DAN KOTA DI SUMA…
Cluster analysis groups objects based on similar characteristic values into clusters. One cluster method is K-Means. This research groups districts in South Sumatra based on the production variables of rice, corn, peanuts and cassava in 2019, 2020 and 2021. The aim is to observe whether there are changes in the grouping. The best grouping results are taken based on the standard deviation value.…
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- viii, 76 hlm.; ilus.; 29 cm
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- T1426382024
PERBANDINGAN METODE SINGLE LINKAGE, COMPLETE LINKAGE, AVERAGE LINKAGE, DAN WA…
South Sumatra is a region whose population has increased significantly in the last three years. The increase in population has not been accompanied by an increase in health services, causing the number of health workers to be unbalanced. To see the even distribution of the number of each group of health workers, can use Hierarchical Cluster analysis. This research will apply Hierarchical Cluste…
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- xiii, 89 hlm.; ilus.; 29 cm
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- T1427052024
PERBANDINGAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYS…
Arabica coffee beans are the most widely consumed raw material for coffee beverages. Arabica coffee beans have a higher market price than other types of coffee beans because of their high quality.In making a decision to choose the best arabica coffee beans, a system is needed, namely Decision Support System. This research to obtain information about the best Arabica coffee beans using the Multi…
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- xi, 31 hlm.; ilus.; 29 cm
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- T1451882024
MODEL SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE DALAM MENGAMATI PERUB…
The country of Indonesia has a strategic location and tropical climate that causes Indonesia to often experience climate change. Climate change information has an important role to prevent floods, droughts, and is related to determining the growing season. One of the most influential climatic factors is rainfall. This study aims to analyze whether there are differences in monthly rainfall patte…
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- xxi, 124 hlm.; ilus.; 29 cm
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- T1429882024
OPTIMALISASI PERSEDIAAN BERAS MENGGUNAKAN TEKNIK INTERPOLASI POLINOMIAL NEWTO…
The interpolation method is used to obtain approximate values for future demand levels based on available historical data. The use of the interpolation method aims to anticipate demand fluctuations in order to minimize risks and costs. The aim of this research is to obtain optimal rice demand data approach values at Perum BULOG Divre South Sumatra and Babel using the Newton Polynomial Interpola…
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- xii, 48 hlm.; ilus.; 29 cm
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- T1403242024
ALGORITMA BENDERS DECOMPOSITION DAN MYOPIC ALGORITHM UNTUK PENYELESAIAN MODEL…
Sampah menjadi permasalahan utama di berbagai wilayah di Indonesia, salah satunya Kota Palembang. Penelitian ini membahas formulasi model Covering Based Problem (CBP) yaitu Set Covering Location Problem, Maximal Covering Location Problem, dan p-Center Location Problem serta penerapan algoritma Benders Decomposition dan Myopic Algorithm untuk pengoptimalan lokasi Tempat Pembuangan Sementara (TPS…
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- xiv, 71 hlm.; ilus.; 29 cm
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- T1456602024
ANALISIS DERET WAKTU DENGAN METODE MAXIMAL OVERLAP DISCRETE WAVELET TRANSFORM…
Inflation was a continuous increase in both the price of goods and services in general within a certain period of time. This research aim is to find forecasting model for inflation in Indonesia. The best model is needed to analyze future inflation so that people can make careful planning for each business activity. Indonesian inflation was analyzed by using a combination of Maximal Overlap Disc…
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- xii, 38 hlm.; ilus.; 29 cm
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- T1461442024
PERBANDINGAN ANALISIS REGRESI LINIER BERGANDA DAN REGRESI KOMPONEN UTAMA PADA…
Minimum Wage is a minimum standard used by employers to pay workers in a business environment. In Indonesia, each province sets a minimum wage that varies. This determination is based on the calculation of the current year's minimum wage plus the multiplication of the current year's minimum wage, inflation, and the growth of Gross Regional Domestic Product (PDRB). This study examines whether th…
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- xiii, 52 hlm.; ilus.; 29 cm
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- T1451642024
IMPLEMENTASI MODEL VARIMA UNTUK MERAMALKAN TINGKAT PENGHUNIAN KAMAR HOTEL DI …
Forecasting is a crucial method for predicting future values, particularly when dealing with multiple variables. The Vector Autoregressive Integrated Moving Average (VARIMA) model proves effective in forecasting data involving more than one variable. This study focuses on analyzing the Room Occupancy Rate percentage, which exhibits significant annual fluctuations, especially in the context of S…
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- xiv, 77 hlm.; ilus.; 29 cm
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- T1428042024
PERBANDINGAN METODE KLASIFIKASI FUZZY DECISION TREE DAN RANDOM FOREST PADA DI…
Pada tahun 2019, data dari Organisasi Kesehatan Dunia (WHO) mencatat bahwa 17.9 juta jiwa (32%) penduduk global meninggal karena penyakit jantung, dan tren tersebut diperkirakan akan terus meningkat. Penelitian ini dilakukan dengan tujuan untuk mengevaluasi dan menganalisis ketepatan data dalam mengklasifikasikan diagnosis penyakit jantung menggunakan metode fuzzy decision tree dan random fores…
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- 76 hlm.; ilus.; 29 cm
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- T1405842024
PENGALOKASIAN OPTIMAL UNIT GAWAT DARURAT DI KOTA PALEMBANG BERDASARKAN METODE…
Palembang City is the most populous area in South Sumatra with 18 sub-districts and a population of 1.72 million people in June 2022. Palembang City also has health facilities, namely hospitals that are supported by Emergency Unit (ER) and Emergency Room (IGD) facilities. This research aims to optimize the ER of each sub-district in Palembang City by formulating the Technique for Order Preferen…
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- xi, 51 hlm.; ilus.; 29 cm
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- T1430652024
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