Income inequality reflects the unequal distribution of income across regions. Income inequality in Sumatra during the period 2015 to 2024 shows a fluctuating pattern with varying levels of inequality among provinces. Education, as one of the component of human development, is assumed to play a role in influencing income inequality. This study aims to determine the best panel data regression mod…
The supply of paddy in rice milling enterprises is highly dependent on harvest seasons, which occur twice a year, namely in March and August. This limited availability necessitates effective planning to ensure proper management of rice demand. Inadequate planning may result in financial losses due to either stockouts or overstocking. This study aims to estimate rice demand using the Nonlinear F…
This study discusses the optimal allocation of hospitals with emergency units in Palembang City using Multi-Criteria Decision Making (MCDM) methods such as Weighted Product (WP) and Additive Ratio Assessment (ARAS). The objective of this study is to determine the optimal hospitals with emergency units in each subdistrict based on six criteria, namely service level, number of specialist doctors,…
Weather is a dynamic atmospheric phenomenon that influences various sectors, particularly in tropical regions with complex climatic characteristics such as Lubuk Linggau City. This study aims to classify weather events using the Naïve Bayes and Logistic Regression methods, both without and with the application of the Synthetic Minority Over-sampling Technique (SMOTE), and to determine the most…
The limited quantity and variety of oil palm leaf disease image data pose a problem for the training process, which requires large, diverse datasets. The development of generative methods that can increase the diversity and quality of synthetic image data is important. This study aims to develop an Auxiliary Classifier Generative Adversarial Network (AC-GAN) architecture based on Conditional Ba…
This study discusses rice inventory management issues at Perum Bulog Divre Sumsel Babel by applying the Q-backorder probabilistic inventory model. The objectives of this study are to determine the optimal order quantity, total inventory cost, and service level for two types of rice, namely PSO and KOM. The study uses secondary data from the 2020-2024 period, with a focus on calculations for 202…
The development of digital technology has led to an increase in the use of gadgets among elementary school students, including in areas with limited infrastructure and access to technology, which has the potential to affect academic achievement. Uncontrolled use of gadgets can have an impact on students’ concentration and learning habits. This study aims to analyze the effect of device usage …
The development of digital technology has led to an increase in the use of gadgets among elementary school students, including in areas with limited infrastructure and access to technology, which has the potential to affect academic achievement. Uncontrolled use of gadgets can have an impact on students’ concentration and learning habits. This study aims to analyze the effect of device usage …
The high school dropout rate in public high schools remains a significant problem in Indonesia due to various factors, such as socioeconomic conditions, educational facilities, and the ratio of teachers to students. This study aims to group provinces in Indonesia based on the indicator of high school dropout rates in 2024/2025 using the K-Means Clustering algorithm. The data used were obtained …
Waste management in Pulau Semambu Village Ogan Ilir Regency South Sumatra remains suboptimal due to waste accumulation and the limited number of efficient Temporary Waste Disposal Sites (TWDS). This study aims to determine the optimal locations of TWDS using the Set Covering Problem (SCP) model, which includes the Set Covering Location Problem (SCLP) and the p-Median Problem, as well as the imp…
This research examines the optimization of waste collection routes in Pulau Semambu Village using the Vehicle Routing Problem framework with the Nearest Neighbor Heuristic method and the Clarke & Wright Savings Algorithm. The study uses secondary data consisting of Temporary Disposal Site (TDS) and Final Disposal Site (FDS) locations, waste volume, and inter-point distances for three designated…
This research discusses the development of an improved C-RAN model based on Demand Response (DR) and heterogeneous incentives by integrating an indirect utility function and a bundling scheme to produce a more adaptive pricing mechanism. Additional parameters such as bandwidth, inbound – outbound traffic, and multiple service classes are included to strengthen the model formulation. The model…
This study aims to design a formulation of a C-RAN selfish user model based on demand response with heterogeneous incentives combined with a bundling scheme in the bandwidth utility function. This approach is employed to analyze user behavior and determine optimal solutions for bandwidth consumption management. In addition, sensitivity analysis is conducted to examine changes in variable and pa…
Telemedicine services are healthcare services and the exchange of medical information conducted remotely through Information and Communication Technology. Service providers need to adapt to ongoing developments in order to meet user needs and expectations. One of the efforts to support this development is by analyzing user satisfaction or perceptions using sentiment analysis methods. This study…
The waste problem in Palembang City is an important issue that must be addressed, as the increasing population will lead to an increase in the amount of waste. Environmental and Cleanliness Department Palembang City provides Temporary Waste Disposal Sites (TWDS) that must be owned in each location. This research aims to optimize the location of TWDS in the Kemuning Sub-district Palembang City b…
This study examines the effect of weather factors on inland tin production and offshore tin production at PT Timah Tbk across several quarterly periods. The data used in this study are secondary data consisting of rainfall, air humidity, air temperature, and wind speed variables observed periodically. The objectives of this study are to analyze the effect of weather factors on inland and offsho…
Colorectal cancer is a colon cancer characterized by the presence of colorectal polyps. The detection of colorectal polyps can be performed automatically using deep learning methods based on Convolutional Neural Networks (CNN), such as You Only Look Once (YOLO). YOLOv8 provides multi-task capabilities, including simultaneous object detection and segmentation, known as instant segmentation throu…
This study aims to classify the level of student satisfaction at Sriwijaya University toward Bank X’s mobile banking services using the Naïve Bayes method. Satisfaction measurement is carried out based on SERVQUAL, which consists of five dimensions of service quality, namely, tangibles, reliability, responsiveness, assurance, and empathy. The data used comes from 96 active student respondent…
A lung cancer diagnosis can be performed using 3D CT scan images. Cancerous areas are identified through a segmentation process. This study develops a 3D U-Net with Residual Network (ResNet) and InceptionV3 to segment lung cancer in 3D CT scans. The 3D U-Net architecture was applied because it can exploit volumetric spatial information in 3D CT scan images. ResNet is applied to the encoder sect…
The use of Artificial Intelligence (AI) applications such as ChatGPT, Gemini, Grammarly, QuillBot, and Perplexity has become increasingly common among students of the FMIPA Universitas Sriwijaya. The high intensity of AI usage raises questions regarding the extent to which AI applications influence students’ academic achievement. This study aims to develop an ordinal logistic regression model…
This study aims to explore factors closely associated with the Prevalence of Undernourishment (PoU) in Indonesia and to estimate the probability of PoU levels based on influential variables. The methods used are CHAID and ordinal logistic regression. The independent variables analyzed include rice production, population density, percentage of poor population, percentage of per capita food expen…
The agricultural sector plays an important role in supporting food security, providing raw materials, and improving the economy of a country. The purpose of this study was to determine agricultural production results graphically and grouping districts/municipalities based on agricultural production results using biplot analysis and single linkage and complete linkage cluster analysis. The objec…
This study aims to formulate an improved C-RAN and IRC model using a fair-network approach based on demand response and heterogeneous incentives, incorporating an exponential utility function, bundling schemes, and user-side optimization of bandwidth usage. In addition, sensitivity analysis is conducted to identify fluctuations in variables and parameters that may affect the optimal solution. T…
Household preferences in the use of subsidized and non-subsidized LPG are influenced by various socio-economic factors. Therefore, to identify the factors that affect household preferences in using subsidized or non-subsidized LPG, a further analysis using ordinal logistic regression is required. The data used in this study are primary data obtained through questionnaire distribution. The resul…
Liver tumors are abnormal tissue growths in the liver that can be benign or malignant. Separating tumor tissue from healthy tissue in CT scan images can be done using segmentation techniques with Convolutional Neural Networks (CNN). The CNN architecture that can be used in image segmentation is U-Net. The encoder extracts important features from the image, but this process can cause the loss of…
This study aims to optimize cement production planning at Plant II of PT Semen Baturaja Tbk. using the Goal Programming method, with a specific focus on OPC Type I and PCC cement products. The primary objectives of the Goal Programming model are to maximize production targets and minimize raw material usage while considering various production constraints and resource limitations. The data used…
The rapid development of technology and driven by various human needs, has greatly advanced the manufacturing world, resulting in challenges to produce quality products. It is very important to measure and group the level of surface roughness of steel because the roughness of the surface affects how resistant the product is to wear and how well it performs. It is important to classify the level…
The increasing demand for campus transportation requires bus services that are not only available but also of high quality so that students travel experience is comfortable and satisfying. The Sriwijaya University DAMRI Bus is one of the modes of transportation used by students for inter-campus mobility. Although the facilities and services of the DAMRI Bus are quite good, the level of user sat…
The high percentage of insufficient vegetable consumption in Indonesia remains a concern, as it is still below the recommended intake. Identifying alternative vegetables with similar nutritional content can facilitate the clustering process and assist in selecting substitute vegetables with comparable nutrients. Therefore, clustering analysis is required to identify groups of vegeta…
Pengelolaan sampah di Desa Pulau Semambu membutuhkan penentuan rute kendaraan yang efisen dari 12 lokasi Tempat Pembuangan Sementara (TPS) ke Tempat Pembuangan Akhir (TPA) Palem Raya. Penelitian ini bertujuan untuk menentukan rute kendaraan sampah yang optimal dengan menerapkan metode Harmony Search (HS) pada Capacitated Vehicle Routing Problem (CVRP). CVRP digunakan untuk memastikan bahwa volu…