ANALISIS PERFORMA HOLT-WINTERS DAN SARIMA DALAM PERAMALAN MULTIVARIABEL IKLIM…

This study aims to analyze and compare the performance of two conventional time series forecasting models, Holt–Winters and Seasonal Autoregressive Integrated Moving Average (SARIMA), in predicting monthly climate variables in Semarang City, including air temperature, rainfall, and humidity. A head-to-head multivariable comparison was conducted within a single experimental framework in a trop…

PENERAPAN SISTEM PEMERINTAHAN BERBASIS ELEKTRONIK DALAM PELAYANAN PUBLIK DI P…

Pelayanan publik menjadi salah satu fungsi utama pemerintah daerah yang harus dilaksanakan secara efektif, efisien, transparan, dan akuntabel. Perkembangan teknologi informasi dan komunikasi mendorong pemerintah untuk melakukan transformasi birokrasi melalui penerapan Sistem Pemerintahan Berbasis Elektronik (SPBE). Pemerintah Kota Lubuklinggau telah menjadikan SPBE sebagai prioritas pembangunan…

ANALISIS KOMPARATIF ALGORITMA RANDOM FOREST, XGBOOST, DAN CATBOOST UNTUK KLAS…

The increasingly intensive use of social media in everyday life has various implications for the psychological condition of users, one of which is an increase in stress levels due to high usage duration and excessive exposure to information. This condition necessitates an analytical approach to understand and predict user stress levels more objectively. This study aims to compare the performanc…

SISTEM POLITIK INDONESIA, Edisi Revisi

Edition

Revisi

ISBN/ISSN

978-602-8650-93-9

Collation

vii, 53 hlm. ; 21 cm.

Series Title

-

Call Number

320.959 8 Sya s

ANALISIS SENTIMEN PENGGUNA INSTAGRAM TERHADAP POSTINGAN PROGRAM MAKAN SIANG G…

Social media is widely used today for communication and information exchange. One of the most popular social media platforms is Instagram. The comments section on an Instagram post creates discussions among users regarding issues that are currently being widely discussed. One of the issues that is currently being widely discussed is the free lunch program, which is a new program created by the …

PENGARUH KEMUDAHAN, KEGUNAAN, DAN PENGETAHUAN TERHADAP KEPUTUSAN PENGGUNAAN Q…

Penelitian ini bertujuan untuk menganalisis pengaruh kemudahan, kegunaan, dan pengetahuan terhadap keputusan penggunaan Quick Response Code Indonesian Standard (QRIS) pada Generasi Z di Kota Palembang. Penelitian ini menggunakan metode kuantitatif dengan teknik pengumpulan data melalui kuesioner kepada 100 responden menggunakan purposive sampling. Teknik analisis yang digunakan adalah regresi l…

PERANCANGAN PROTOTIPE CLINICAL DECISION SUPPORT SYSTEM UNTUK PREDIKSI RISIKO …

Type 2 diabetes is a chronic disease that requires early detection to reduce the risk of complications. This study aims to design a web-based prototype Clinical Decision Support System (CDSS) to predict diabetes risk using the XGBoost algorithm and improve interpretability through the SHAP method. The dataset used was obtained from Kaggle and consisted of approximately 100,000 records with eigh…

SISTEM PREDIKSI BANJIR MENGGUNAKAN SENSOR TEKANAN DAN WATERFLOW SENSOR DENGAN…

Most current flood prediction studies rely on secondary data with limited temporal resolution and Deep Learning models with high computational demands. This research addresses this gap by designing an early warning system that is computationally efficient, utilizing direct physical sensor data within a controlled simulation. The objectives are to measure water flow velocity (m/s) using an optoc…

PENGARUH PEMBIAYAAN HIJAU DAN EFISIENSI OPERASIONAL TERHADAP PENGUNGKAPAN PEN…

This study aims to analyze the effect of green financing and operational efficiency on the disclosure of green banking implementation in Islamic Commercial Banks in Indonesia. This study uses secondary data obtained from the annual reports and sustainability reports of Islamic Commercial Banks published on the official websites of each bank. The analytical method employed is panel data regressi…

PERAN BANK INDONESIA MELALUI QRIS DALAM MENINGKATKAN KONEKTIVITAS SISTEM PEMB…

*ABSTRAK* Penelitian ini bertujuan untuk menganalisis peran Quick Response Code Indonesian Standard (QRIS) dalam meningkatkan konektivitas sistem pembayaran di kawasan ASEAN dalam konteks integrasi ekonomi regional dan dinamika ekonomi politik global. Latar belakang penelitian didasarkan pada tingginya ketergantungan negara-negara ASEAN terhadap dolar Amerika Serikat dalam transaksi lintas bata…

Sistem Hukum Indonesia: Prinsip-Prinsip & Implementasi Hukum di Indonesia

Edition

1

ISBN/ISSN

979-3654-25-0

Collation

x, 138 hlm.; 21 cm

Series Title

-

Call Number

340.598 Bis s

SISTEM EKONOMI INDONESIA: Tafsiran Pancasila dan UUD 1945

Edition

-

ISBN/ISSN

978-602-298-262-3

Collation

ix, 192 hlm. : ilus. ; 26 cm

Series Title

-

Call Number

338.959 8 Ism s

PENGARUH HEDONIC MOTIVATION DAN PRICE VALUE DALAM UTAUT 2 TERHADAP PEMBELIAN …

Penelitian ini menginvestigasi determinan perilaku impulsive buying selama acara Flash Sale di platform Tokopedia. Berlandaskan pada kerangka kerja Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), penelitian ini menguji pengaruh Hedonic Motivation dan Price Value terhadap Behavioral Intention, serta dampaknya terhadap Impulsive Buying. Pendekatan kuantitatif diterapkan dengan meng…

PERBANDINGAN METODE ARIMA, SARIMA, DAN LSTM DALAM MEMPREDIKSI HARGA BAWANG ME…

Shallots are a food commodity that often experiences price fluctuations and is one of the contributors to inflation in the city of Palembang. This study compares the ARIMA, SARIMA, and LSTM methods for predicting shallot prices using daily data from January 2020 to October 2025. The research stages include data collection, preprocessing, visualization and decomposition, division of training and…

ANALISIS DETERMINAN DERAJAT KEPARAHAN PENYAKIT PADA PENDERITA PERTUSIS DI PRO…

The severity of pertussis in South Sumatra Province, characterized by the appearance of apnea symptoms, is also a cause of death in patients with a CFR > 6%. This study aims to analyze the determinants of disease severity in pertussis patients in South Sumatra Province using secondary data from the South Sumatra Provincial Health Office from 2022-2024 with a cross-sectional study design. The st…

SISTEM PENGELOLAAN ARSIP PADA PT MADHANI TALANTAH NUSANTARA

Laporan ini membahas tentang "Sistem Pengelolaan Arsip Pada PT Madhani Talantah Nusantara” bertujuan untuk seberapa pengaruh penting arsip pada sebuah perusahaan. Penelitian dilakukan dengan menggunakan metode observai melalui magang di tempat supaya memperoleh data yang relevan dan akurat. Sistem pengolahan Arsip di PT Madhani Talantah Nusantara mencakup aktivitas pengelolaan arsip yang meli…

PERANCANGAN SISTEM TRACKING DAN TANDA TERIMA DIGITAL PENERIMAAN PAKET MENGGUN…

Package administration in the Corporate Administration of PT Bukit Asam Tbk currently relies on Microsoft Excel and recordings on printed sheets, making it prone to human errors, double entries, and slow tracking. This study designs a web-based Package Receipt Information System to automate the entire workflow from incoming package logging, work unit allocation, to delivery confirmation via QR …

ANALISIS KOMPARATIF MACHINE LEARNING DAN EXPLAINABLE ARTIFICIAL INTELLIGENCE …

Traffic accidents are a road safety issue that can result in fatalities. This study aims to compare the performance of machine learning models namely, Random Forest, XGBoost and LightGBM and to explain the prediction results of the best model using the Explainable Artificial Intelligence (XAI) approach, with SHapley Additive exPlanations (SHAP) employed as the interpretation method. The data us…

EVALUASI METODE UNSUPERVISED LEARNING DALAM PENGELOMPOKAN DATA KECELAKAAN LAL…

Traffic accidents are one of the transportation issues that require distribution analysis to identify areas with different accident characteristics. This study aims to compare the K-Means, DBSCAN, and Hierarchical Clustering methods in clustering traffic accident data based on geographical location and accident severity. The dataset used is derived from traffic accident data in the United Kingd…

PENINGKATAN KINERJA KLASIFIKASI GANGGUAN JANTUNG PADA SINYAL ELEKTROKARDIOGRA…

Electrocardiogram (ECG) signals represent the electrical activity of the heart and are used to record disorders such as arrhythmia and heart failure. Due to their non-stationary nature, ECG signals require a time-frequency domain approach to capture their dynamic characteristics more accurately. This study aims to develop and evaluate machine learning-based heart disorder classification models …

MULTI OBJECT TRACKING PADA CITRA JANTUNG ANAK MENGGUNAKAN DEEP LEARNING

Congenital heart disease (CHD) in children, such as atrial septal defects (ASD), ventricular septal defects (VSD), and atrioventricular septal defects (AVSD), requires accurate diagnosis through dynamic analysis. However, existing methods for analyzing echocardiographic video are often limited to frame-by-frame analysis and are not yet capable of consistently tracking temporal changes. This stu…

KOLABORASI METODE ENTROPI DAN MARCOS DALAM APLIKASI SISTEM PENDUKUNG KEPUTUSA…

The rapid development of digital camera technology has resulted in a wide variety of cameras with diverse specifications. This situation often makes it difficult for novice photographers to determine which camera suits their needs and budget. Therefore, this study aims to build a Decision Support System (DSS) for camera selection for beginners by combining the Entropy and MARCOS methods. The En…

IMAGE CAPTIONING PADA CITRA SERVIKS UNTUK LAPORAN MEDIS BERBASIS MODEL DEEP L…

Image captioning is a task in the fields of computer vision (CV) and natural language processing (NLP) that aims to generate textual descriptions from an image. In this study, various combinations of encoder–decoder architectures were designed and evaluated to improve captioning performance on cervical medical images from the International Agency for Research on Cancer (IARC). The encoders us…

PENGEMBANGAN MODEL SEGMENTASI LESI CITRA PRA-KANKER SERVIKS MENGGUNAKAN YOLO …

Cervical cancer is one of the leading causes of morbidity and mortality among women, making early detection of precancerous lesions essential. However, lesion segmentation in cervical images still faces several challenges, including unclear object boundaries, illumination variations, imaging artifacts, and class imbalance between lesion and background, which reduce the performance of deep learn…

IMPLEMENTASI OBJECT DETECTION BERBASIS YOU ONLY LOOK ONCE UNTUK IDENTIFIKASI …

This study aims to develop a deep learning-based object detection system using the YOLOv11n algorithm to identify foreign objects on coal conveyor belt systems. The study is motivated by the limitations of manual inspection methods in maintaining detection consistency and accuracy within mining environments characterized by high visual complexity, such as dust, uneven illumination, motion blur,…

PENINGKATAN KINERJA SEGMENTASI CITRA PRA-KANKER SERVIKS MELALUI AUGMENTASI DA…

Cervical cancer is a leading cause of death among women. The subjectivity of Visual Inspection with Acetic Acid (VIA) screening encourages the use of Artificial Intelligence (AI) for medical image segmentation automation. However, limited datasets frequently cause model overfitting. This research aims to improve the segmentation performance of cervical precancerous images on the YOLOv11-seg mod…

KOLABORASI METODE MARCOS DAN AHP DALAM APLIKASI SISTEM PENDUKUNG KEPUTUSAN PE…

Pemilihan sepatu atletik yang tepat sangat penting bagi pelari pemula karena berpengaruh terhadap kenyamanan, performa, dan risiko cedera, namun banyaknya pilihan sepatu dengan karakteristik yang berbeda sering menyulitkan proses pengambilan keputusan. Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) pemilihan sepatu atletik bagi pelari pemula dengan mengombinasikan m…

ANALISIS HYBRID FEATURE ENGINEERING UNTUK PENENTUAN TINGKAT KEPARAHAN LESI PR…

Visual diagnosis via colposcopy is prone to observer subjectivity, making a more objective computational system necessary. This study explores two approaches: hybrid feature engineering (color, texture, contour) using machine learning (ML) via a rule-based system that adapts the Sweden score method, and end-to-end architectures based on YOLO (v8, v11, v12, v26). The dataset is sourced from the …

SISTEM KEARSIPAN DIGITAL SURAT MASUK DAN SURAT KELUAR BERBASIS WEB DINAS PEMU…

The Department of Youth, Sports, and Tourism of Musi Banyuasin Regency still manages incoming and outgoing mail archives manually, resulting in difficulties in document retrieval, the risk of file loss, and slow mail management processes. This study aims to design and develop a web-based Digital Archiving System for Incoming and Outgoing Mail at the Department of Youth, Sports, and Tourism of M…

KLASIFIKASI CITRA PUNCTA LACRIMAL NORMAL DAN ABNORMAL MENGGUNAKAN DEEP LEARNING

This study aims to classify normal and abnormal puncta lacrimal images using deep learning methods and to analyze the impact of data augmentation strategies on model performance. The dataset consisted of 61 images, including 30 normal and 31 abnormal images, which underwent a preprocessing stage by resizing all images to 256 × 256 pixels. Nine deep learning architectures were evaluated, includ…