ANALISIS REGRESI DATA PANEL UNTUK MELIHAT FAKTOR YANG MEMPENGARUHI HARGA SAHA…

Stock price represents the market value of a company formed through the interaction of supply and demand in the stock market. An increase in stock price typically reflects an improvement in firm value and strengthens investor confidence. This study aims to determine the most factors influencing stock prices among energy sector companies listed on the Indonesia Stock Exchange (IDX) during the pe…

ANALISIS ALOKASI TENAGA KERJA KELUARGA DAN PENGARUHNYA TERHADAP PENDAPATAN PE…

The objectives of this research are 1) Count the allocation of labor for families of independent oil palm farmers in Sumber Rezeki B1 Village, Sungai Lilin District, Musi Banyuasin Regency. 2) Count the magnitude of the contribution of farming income to independent oil palm in Sumber Rezeki B1 Village, Sungai Lilin District, Musi Banyuasin Regency. 3) Analyze the magnitude of the influence of f…

ANALISIS HUBUNGAN CURAH HUJAN TERHADAP JUMLAH KEJADIAN BENCANA BANJIR PADA TA…

This study aims to analyze the relationship between rainfall and flood occurrences in six regencies in South Sumatra, namely Empat Lawang, Musi Banyuasin, Ogan Komering Ulu, Ogan Komering Ilir, Pali, and Banyuasin, during the period 2018-2022. The data used in this research include rainfall data from NASA POWER validated with BMKG data and flood occurrence data obtained from DIBI BNPB. This stu…

ANALISIS SEMIOTIKA JOHN FISKE TENTANG TERORISME DALAM FILM 13 BOM DI JAKARTA

Penelitian ini menganalisis representasi dan makna terorisme dalam film 13 Bom di Jakarta menggunakan pendekatan semiotika John Fiske. Film tersebut dipilih karena menghadirkan isu terorisme secara eksplisit melalui rangkaian adegan kekerasan, ancaman ledakan, serta konflik antara aparat dan kelompok radikal. Penelitian menggunakan metode kualitatif deskriptif dengan menganalisis sembilan adega…

ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X MENGENAI PINJAMAN ONLINE DENGAN PER…

The rapid development of technology and social media has transformed the way people express their opinions on various issues, including online loan services. Application X has become a primary platform for users to openly share their views. This study aims to analyze user sentiment toward online loan services by comparing the performance of the XGBoost and Random Forest algorithms. From an init…

ANALISIS SISTEM NODAL UNTUK PEMILIHAN UKURAN TUBING SUMUR X-097 DAN X-017 DI …

Banyak faktor yang memengaruhi proses pengangkatan minyak ke permukaan, salah satu faktornya yaitu pemilihan ukuran tubing yang tepat untuk laju produksi optimal. Sumur X-097 dan X-017 di PT Pertamina Hulu Rokan Zona 4, Prabumulih Field menggunakan ukuran tubing 2,5 in(ID) di mana dengan menggunakan ukuran tubing tersebut laju produksi sumur X-097 sebesar 410 BFPD atau 34,83% dari laju produksi…

ANALISIS FRAMING PEMBERITAAN KEKERASAN SISWA SEKOLAH MENENGAH PERTAMA DI CILA…

Penelitian ini bertujuan untuk mengetahui perbedaan dalam pembingkaian mengenai analisis framing Pemberitaan Kekerasan Siswa Sekolah Menengah Pertama di Cilacap pada portal berita Detik.com dan Kompas.com. Metode penelitian yang digunakan dalam penelitian ini yaitu pendekatan kualitatif. Teknik analisis yang digunakan adalah analisis framing model Zhondang Pan dan Gerald M. Kosicki dengan objek…

ANALISIS SENTIMEN KOMENTAR PENGGUNA TERHADAP LAYANAN PAYLATER DI PLATFORM X M…

The rapid growth of digital financial services in Indonesia has accelerated the adoption of PayLater features across various online transaction platforms. This trend has led to diverse public opinions and sentiments, particularly on social media platform X (Twitter). This study aims to analyze public sentiment toward PayLater services and compare the performance of the Bidirectional Long Short-…

ANALISIS KERAWANAN LONGSOR BERDASARKAN TINGKAT KELEMBAPAN TANAH DI DAERAH LUB…

Curah hujan merupakan salah satu faktor pemicu bencana alam longsor. Terjadinya bencana longsor dipengaruhi oleh banyak faktor, salah satunya adalah tingginya intensitas curah hujan yang diterima pada suatu wilayah. Penelitian dilakukan di Daerah Lubuk Dalam dan Sekitarnya, Kecamatan Lengkiti, Ogan Komering Ulu, Sumatera Selatan. Daerah penelitian terdiri dari satuan geomorfik berupa perbukitan…

ANALISIS KOMPOSISI KIMIA DAN ORGANOLEPTIK TABLET HISAP DARI EKSTRAK TUMBUHAN …

This study aimed to determine the chemical composition and organoleptic characteristics of lozenges made from the extract of the water lettuce plant (Pistia stratiotes) through experimental laboratory methods. The experimental design used in this study was a Randomized Block Design (RBD) with 4 formulations differing in the concentration of water lettuce extract (30%, 20%, 10%, and 0%). Each fo…

FORMULASI KRIM TABIR SURYA EKSTRAK ETANOL DAN FRAKSI DAUN SAMAK (SYZYGIUM URC…

Sun exposure can cause damage to the skin due to ultra violet (UV) radiation. Excessive and prolonged exposure to sunlight can damage the skin layer and can cause negative health effects Additional protection is needed to reduce the transmission of UV rays to the skin and is known as a sunscreen agent. Samak leaf (Syzygium urceolatum (Korth.) Merr. & L.M.Perry) has the potential as a sunscreen …

PENGARUH PUPUK NPK DAN KOMPOS TANDAN KOSONG KELAPA SAWIT TERHADAP KANDUNGAN N…

Tomato plants are a type of plant that can grow on various types of soil, one of which is Ultisol. In order to produce good growth and yield, cherry tomato plants require complete nutrients, both macro and micro with a balanced composition supplied from organic and inorganic fertilizers. The application of organic fertilizers combined with inorganic fertilizers can increase plant productivity a…

ANALISIS FUNDAMENTAL DAN RETURN SAHAM PERUSAHAAN SEKTOR INFRASTRUKTUR DI INDO…

Penelitian ini dilakukan untuk mengetahui analisis fundamental dan return saham perusahaan sektor infrastruktur di Indonesia. Metode penelitian yang digunakan adalah metode penelitian kuantitatif. Sampel pada penelitian ini sebanyak 90 dari Perusahaan sektor infrastruktur yang terdaftar sejak periode tahun 2018-2022. Hasil dari uji t menunjukkan bahwa Current Ratio dan Debt To Equity Ratio berp…

DOMINASI MASKULIN TERHADAP PEREMPUAN DALAM WEB SERIES LITTLE MOM

Llittle mom is an Indonesian drama webseries that tells the story of the teenage love life of Yuda and Naura who are experiencing ups and downs in their relationship. In this series there are several scenes that show how the domination of a man can be affect for the relationship. This research aims to analyze the male dominance of women through Yuda and Naura’'s relationship in the webseries …

REPRESENTASI KEKERASAN PADA ANAK DALAM FILM KOREA (Analisis Semiotika Model R…

Child abuse is an act against morals and the law. Miss Baek is a film from South Korea, which tells the story of a girl who experiences violence from her parents, causing physical scars and trauma. The purpose of this study is to determine the representation of violence against children in the movie Miss Baek. Data was obtained through observation, documentation and literature study with Qualit…

PENERAPAN ALGORITMA RANDOM FOREST UNTUK SENTIMEN ANALISIS PADA POSTINGAN FACE…

Traffic congestion is a recurring issue in Palembang City and significantly affects the daily activities of its residents. Social media, particularly Facebook, serves as a platform for the public to express their opinions and complaints regarding traffic conditions. This study aims to analyze public sentiment toward traffic congestion in Palembang City using the Random Forest algorithm. The res…

Perhitungan struktural pada gedung bertingkat

Edition

-

ISBN/ISSN

978-634-010-342-7

Collation

xiv, 108 hlm.; 23 cm

Series Title

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Call Number

624.17 Mus p

ANALISIS SPASIAL DETERMINAN KEMATIAN IBU DI KABUPATEN MUARA ENIM TAHUN 2020-2022

Penggunaan layanan cloud telah menjadi semakin populer dalam beberapa tahun terakhir, memicu peningkatan permintaan terhadap sumber daya cloud computing yang lebih besar dan efisien. Hal ini menimbulkan tantangan baru dalam mengelola beban kerja yang semakin kompleks dan beragam. Penelitian ini bertujuan untuk memvalidasi efektivitas metode load balancing MTBLB (Multi-time Based Load Balancing)…

PENERAPAN METODE LONG SHORT-TERM MEMORY (LSTM) UNTUK PREDIKSI PRODUKSI MINYAK…

Oil production prediction is a crucial component of operational planning and strategic decision-making in the upstream oil and gas industry. This study applies the Long Short-Term Memory (LSTM) method to model and predict oil production using daily historical data from PT Pertamina Hulu Rokan Regional 1 Zona 4 Limau Field for the period January 1, 2022, to July 31, 2025. Data processing steps i…

KNOWLEDGE DISCOVERY DALAM KOMPARASI ALGORITMA ENSEMBLE BOOSTING PADA KLASIFIK…

Good water quality is one of the leading indicators in supporting the life of living things. However, pollution from industrial, domestic, and agricultural waste has resulted in a decline in water quality, which has the potential to cause environmental and health problems. Rapid technological advancements have made machine learning algorithms a viable alternative for classifying water quality. …

KNOWLEDGE DISCOVERY DALAM MEMPREDIKSI SKOR SUSTAINABLE DEVELOPMENT GOALS (SDG…

SDGs score prediction is important in assisting the planning and evaluation of policies to achieve these global targets. This study aims to compare the performance of several regression algorithms in predicting the SDGs score: Polynomial Regression, Support Vector Regression, Random Forest Regression, and Gradient Boosting Regressor. The dataset used consists of data on country names, years, SD…

PERBANDINGAN ALGORITMA KLASIFIKASI DALAM MENGANALISIS KONSISTENSI PEMILIHAN J…

Choosing a college major that is consistent with a student's high school background is a crucial factor in supporting academic achievement and career preparation. This study focuses on a comparative analysis of the Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms in evaluating the consistency of college major selection. This study used processed data from 636 students for an…

PENERAPAN ADASYN UNTUK MENANGANI DATA IMBALANCE DALAM PERBANDINGAN KINERJA SV…

The rapid growth of digital applications has heightened the need to understand user perceptions more thoroughly, particularly through sentiment analysis of user-generated reviews. In practice, sentiment classification often faces challenges related to class imbalance, especially when neutral reviews are significantly fewer than positive or negative ones. This imbalance can limit a model’s abi…

ANALISIS SENTIMEN PADA APLIKASI JMO MOBILE DALAM PERBANDINGAN KINERJA SUPPORT…

JMO Mobile is a digital service application that enables the public to access employment-related information and benefits. User reviews serve as a valuable resource for evaluating service quality, yet systematic sentiment analysis on this application remains limited. This study aims to classify the sentiment of user reviews and compare the performance of Support Vector Machine (SVM) and Random …

EVALUASI PENDEKATAN ENSEMBLE LEARNING UNTUK ANALISIS SENTIMEN PADA ULASAN APL…

The development of online transportation applications such as Maxim has increased the need for sentiment analysis to understand user opinions from reviews on the Google Play Store. The main challenges in this analysis are language diversity, variations in writing style, and data imbalance, which affect model accuracy. This study aims to evaluate the performance of the Support Vector Machine (SV…

IMPLEMENTASI INDOBERT UNTUK ANALISIS SENTIMEN BERBASIS ASPEK TERHADAP ULASAN …

Aspect-Based Sentiment Analysis (ABSA) has become a crucial approach for extracting detailed opinions from user-generated content, especially in the healthcare domain. This study analyzes public sentiment toward hospital services in Indonesia using IndoBERT, fine-tuned on 2.448 reviews collected from Google Reviews and Instagram. Sentiment labels were automatically assigned with a pre-trained I…

PERBANDINGAN ALGORITMA RANDOM FOREST, LOGISTIC REGRESSION, DAN XGBOOST DALAM …

Understanding user sentiment from e-commerce reviews is essential for platform improvement and business strategy. This study compares three machine learning algorithms—Logistic Regression, Random Forest, and XGBoost—for sentiment classification of Indonesian-language Tokopedia reviews. A dataset of 6,822 user reviews was preprocessed through tokenization, stopword removal, and TF-IDF vector…

ANALISIS SENTIMEN PELANGGAN TERHADAP PENILAIAN PRODUK PADA TOKOPEDIA NYEMIL.S…

Penelitian ini bertujuan menganalisis sentimen pelanggan terhadap ulasan produk pada toko Nyemil.Saji di Tokopedia menggunakan metode Support Vector Machine (SVM). Permasalahan utama yang melatarbelakangi penelitian adalah adanya ketidaksesuaian antara isi ulasan teks dan rating bintang yang menyulitkan evaluasi kualitas produk secara objektif. Data dikumpulkan melalui web scraping dan diproses…

KNOWLEDGE DISCOVERY ANALISIS PERBANDINGAN MODEL MACHINE LEARNING DALAM PREDIK…

Peningkatan volume sampah perkotaan menuntut sistem pengelolaan yang lebih efisien dan berbasis data, khususnya dalam perencanaan pengumpulan sampah harian. Permasalahan utama dalam prediksi volume sampah adalah kompleksitas hubungan non-liniar antar variabel serta keterbatasan penelitian yang membandingkan kinerja berbagai algoritma machine learning secara komprehensif. Penelitian ini bertujua…

EVALUASI USER ACCEPTANCE PLATFORM TOKOPEDIA MELALUI FRAMEWORK UTAUT3 DAN ANAL…

This study aims to evaluate user acceptance of the Tokopedia e-commerce platform in Indonesia by applying the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) framework combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis implemented in RStudio. Data were collected through an online questionnaire distributed through social networks, …