The development of music streaming platforms has created a "paradox of choice" phenomenon, where the abundance of music options makes it difficult for users to find songs that match their preferences. This research develops a music recommendation system using Content-Based Filtering method and Term Frequency-Inverse Document Frequency (TF-IDF) algorithm to address this issue. The study aims to …
The classification of undergraduate thesis documents is a crucial process for organizing and categorizing student research into appropriate fields of study. This research develops an ontology-based document classification system for final projects by integrating the FastText word embedding method to improve classification accuracy. The system utilizes BidangIlmuInformatika.owl ontology as a kno…
Penelitian ini bertujuan untuk meningkatkan kemampuan berhitung permulaan pada anak usia 5-6 tahun melalui kegiatan market day di TK Islam Luthfiah. Metode yang digunakan dalam penelitian ini adalah Penelitian Tindakan Kelas (PTK) dengan model Kemmis & McTaggart yang terdiri dari empat tahapan yakni perencanaan, tindakan, observasi dan refleksi. Waktu dalam penelitian ini dilaksanakan dengan ja…
Penelitian ini bertujuan untuk meningkatkan pemahaman konsep pengukuran panjang pada anak usia 5-6 tahun melalui kegiatan fun cooking di TK Az-Zahra Kabupaten Lahat. Metode yang digunakan adalah Penelitian Tindakan Kelas (PTK) model Kemmis & McTaggart yang terdiri dari empat tahap yaitu perencanaan, tindakan, observasi dan refleksi. Penelitian berlangsung selama satu bulan dengan pendekatan kol…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Humans obtain nutrients from various sources, including animal meat and plants. Nutrients contained in animal meat include protein, fat, carbohydrates, calcium, sodium, and potassium. This study aims to group animal food ingredients based on nutritional content using the K-Means clustering method. This method was applied to group 65 unprocessed animal food ingredients based on nutritional conte…
This study aims to obtain a course schedule based on graph coloring with the Welch Powell algorithm. The coloring method used is vertex coloring. This study uses data from 37 courses in the odd semester of 2022/2023, consisting of 20 compulsory courses, 17 elective courses, and 23 lecturer-directed courses. Collecting data on the list of odd semester courses and the names of the lecturers in ch…
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 …
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 …
Penelitian ini bertujuan untuk menghasilkan Local Intstructional Theory pembelajaran Geometri menggunakan konteks Wisata Bukit Sulap Lubuklinggau. Proses Pembelajaran menggunakan pendekatan Pendidikan Matematika Realistik Indonesia (PMRI) untuk mendukung kemampuan literasi matematika siswa. Penelitian ini menggunakan metode design research tipe validation studies yang terdiri dari tiga tahap: p…
This thesis is entitled "The Effect of TPI Pasar Bawah Development on the Socio-Economic Life of the Coastal Community of Pasar Bawah South Bengkulu Regency in 2004-2022" The purpose of this research is useful to know exactly how the development of Pasar Bawah Fish Auction Centre and its influence on the economy and social life of the people living on the coast of Pasar Bawah South Bengkulu Reg…
This dissertation aims to design financial mathematics tasks based context for vocational students. The focus area is how to design a task which is valid, practical, and has potential Financial mathematics is a crucial discipline, especially for vocational students. This dissertation focused on designing financial mathematical tasks based on contexts for vocational students that are valid, prac…