PENERAPAN DATA MINING UNTUK KNOWLEDGE DISCOVERY ULASAN APLIKASI BLU BY BCA ME…

The ever-evolving digital banking services require a comprehensive understanding of user perceptions. This study applies a knowledge discovery approach to analyze the sentiment of user reviews of the Blu by BCA application by comparing three classification algorithms, namely Support Vector Machine (SVM), Convolutional Neural Network (CNN), and IndoBERT. Data was obtained through the process of …

PENERAPAN FRAMEWORK CRISP-DM UNTUK ANALISIS SENTIMEN ULASAN APLIKASI CROWDFUN…

Ulasan pengguna pada platform crowdfunding memiliki nilai strategis sebagai bahan evaluasi kualitas layanan. Penelitian ini menganalisis sentimen ulasan pengguna aplikasi Kitabisa serta membandingkan kinerja algoritma Naive Bayes, Support Vector Machine (SVM), dan Random Forest dengan menerapkan framework CRISP-DM. Data penelitian terdiri dari 1.624 ulasan yang dikumpulkan dari Google Play Stor…

PENERAPAN ANALISIS KLASTER K-MEDOIDS DALAM PENGELOMPOKKAN SAYURAN BERDASARKAN…

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…

SISTEM REKOMENDASI MAKANAN INDONESIA MENGGUNAKAN ALGORITMA LONG SHORT-TERM ME…

The vast diversity of Indonesian cuisine often leads to information overload and the "paradox of choice" for users. Existing conventional search systems are unable to understand specific personal preferences, necessitating an intelligent recommendation system. This research aims to (1) design and build a hybrid Indonesian food recommendation system model combining the Long Short-Term Memory (LS…

CLUSTERING NILAI SISWA SMA UNTUK MENENTUKAN BIDANG KEILMUAN PERGURUAN TINGGI …

Currently, there are still many students in high school who are still confused in determining the scientific field in higher education, even though the scientific field is one of the important things before determining the college they want to enter. They still depend on their parents or friends when they want to choose a scientific field, these high school students don't have a strong reason t…

KLASIFIKASI SMS SPAM BERBAHASA INDONESIA MENGGUNAKAN K-NEAREST NEIGHBOR DAN C…

SMS Spam sangat membahayakan sehingga dapat menyebabkan kerugian bagi pengguna layanan SMS. Untuk mengatasi hal tersebut, dibutuhkan metode yang dapat membantu mengelompokan SMS sesuai dengan ketegorinya, yaitu Spam dan non spam. Klasifikasi merupakan salah satu proses mengelompokkan data kedalam kelas yang telah ditentukan sebelumnya. Pengklasifikasian melewati beberapa tahapan yaitu, pra peng…

SEGMENTASI PELANGGAN MENGGUNAKAN ALGORITMA K-MEANS DENGAN ELBOW METHOD PADA S…

Customer segmentation is a significant application of data analysis in business. This research uses the K-Means algorithm to group customer data based on transaction habits, with parameters from the dataset as cluster determinants. To determine the optimal number of clusters, the Elbow Method is applied, which is based on the highest difference of inertia values. The results show that 2 cluster…

KOMPARASI KLASTERISASI DATA HISTORIS GEMPA BUMI MENGGUNAKAN DBSCAN, K-MEANS, …

Earthquakes belong to the category of natural disasters that are prone to occur on the island of Sumatera and pose a serious challenge because they can have a devastating impact on human life, such as loss of life, material losses, and environmental damage. Consequently, earthquake hazard zone mapping is needed to provide information about the potential and history of disasters and is an import…

KLASIFIKASI SERANGAN JANTUNG MENGGUNAKAN METODE NAIVE BAYES

Heart disease is one of the diseases that causes many deaths, both in developed and developing countries. The high mortality rate due to heart disease is attributed to the lack of attention in society towards healthy eating and the absence of periodic health check-ups. Heart disease occurs when the heart's performance deviates from normal or experiences abnormalities. Several causes of heart di…

SIMULASI PENAMBAHAN LOKASI CHANGE SHIFT PADA KEGIATAN PENAMBANGAN BATUBARA DA…

Pamapersada adalah salah satu kontraktor terbesar di Indonesia yang mengelola banyak lahan pertambangan salah satunya di PT Bukit Asam tepatnya pada site MTBU yang memiliki luasan IUP sebesar 2.886 Ha dengan jumlah Cadangan sebesar 188.000.000 ton. Salah satu pit yang berada di site MTBU yaitu Town Site Base Camp (TSBC) memiliki 3 change shift untuk HD (CS Taman, CS Endikat, CS Firman [portable…

Perancangan Desain dan Perhitungan Kapasitas Disposal Untuk Memenuhi 3 MRP Pe…

PT. Golden Great Borneo adalah perusahaan nan berjalan pada industri pertambangan sebagai pemilik Izin Usaha Pertambangan (IUP) yang sekarang sedang bekerja sama dengan PT. Cahaya Riau Mandiri sebagai kontrantor yang lokasi nya ada di Desa Prabumenang, Kecamatan Merapi Timur, Kabupaten Lahat, Provinsi Sumatera Selatan. Pada aktivitas coal getting PT. Golden Great Borneo memanfaatkan beberapa je…

EVALUASI PENERAPAN PERENCANAAN PAJAK SEBAGAI UPAYA PENGHEMATAN PAJAK PENGHASI…

Dalam kegiatan pengupasan overburden pada bulan tahun 2022 PT Berau Coal merencanakan pengupasan overburden di pit Q sebesar 7.276.167 BCM/tahun sedangkan realisasi dilapangan hanya sebesar 4.995.493 BCM/bulan atau sekitar 69% dari rencana produksi yang telah ditargetkan. Salah satu faktor yang mengakibatkan tidak tercapainya target produksi yaitu kurang optimalnya kinerja alat serta banyaknya …

PERBANDINGAN MODEL SUPPORT VECTOR REGRESSION, RANDOM FOREST REGRESSION, DAN R…

Cabai adalah salah satu komoditas penyebab inflasi dan sangat vital bagi konsumsi masyarakat Indonesia. Di wilayah Sumatera Selatan, harga cabai seringkali tidak stabil sehingga dibutuhkan analisis prediksi harga cabai guna memitigasi dampak ketidakstabilan harga, terutama di Pasar Tradisional. Penelitian ini membandingkan tiga model penambangan data yaitu Support Vector Regression (SVR), Rando…

Individual and Collective Graph Mining

Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect…

CLUSTERING KUNJUNGAN WISATAWAN MANCANEGARA DI INDONESIA DENGAN METODE DBSCAN

The tourism sector is one of the sectors that affects approximately 4% of the total economy in Indonesia. One of them is the activity of visits from foreign tourists to Indonesia which always fluctuates every year, especially during the Covid-19 pandemic which caused a drastic decline. This research discusses the Clustering of Foreign Tourist Visits in Indonesia with the DBSCAN Method. The data…

MINING ENGINEERS HANDBOOK VOL.I, THIRD EDITION

Edition

3rd

ISBN/ISSN

-

Collation

xvi, 242 p. : ill. ; 23 cm

Series Title

-

Call Number

622 Min m

MINING ENGINEERS HANDBOOK, THIRD EDITION IN TWO VOLUMES VOL.II

Edition

3rd

ISBN/ISSN

-

Collation

v, 58-59 p. : ill. ; 22 cm

Series Title

-

Call Number

622.3 Pee m

SME Mining Engineering Handbook, Volume 2

Edition

-

ISBN/ISSN

-

Collation

xi, 2394 p. : ill. ; 23 cm.

Series Title

-

Call Number

622 Cum s

MINING ENGINEERS HANDBOOK, THIRD EDITION

Edition

-

ISBN/ISSN

-

Collation

xiv,63 hlm. : ilus. ; 23 cm

Series Title

-

Call Number

622 Pee m

MINING ENGINEERS’ HANDBOOK, THIRD EDITION, Vol. II

Edition

3

ISBN/ISSN

-

Collation

vii, 1200 p. : il. , tab. ; 22 cm.

Series Title

-

Call Number

622 Pee m

Data Science in Societal Applications: Concepts and Implications

The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls…

Recent Trends in Analysis of Images, Social Networks and Texts: 10th Internat…

This book constitutes revised selected papers of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, in December 2021. Due to the COVID-19 pandemic the conference was held in hybrid mode. The 17 full papers were carefully reviewed and selected from 118 submissions, out of which 92 were sent to peer review. The papers are o…

Text Mining for Information Professionals: An Uncharted Territory

This book focuses on a basic theoretical framework dealing with the problems, solutions, and applications of text mining and its various facets in a very practical form of case studies, use cases, and stories. The book contains 11 chapters with 14 case studies showing 8 different text mining and visualization approaches, and 17 stories. In addition, both a website and a Github account are al…

Web Information Systems and Applications: 19th International Conference, WISA…

This book constitutes the proceedings of the 19th International Conference on Web Information Systems and Applications, WISA 2022, held in Dalian, China, in September 2022. The 45 full papers and 19 short papers presented were carefully reviewed and selected from 212 submissions. The papers are grouped in topical sections on knowledge graph, natural language processing, world wide web, machine…

Data Analytics and Management in Data Intensive Domains: 23rd International C…

This book constitutes the post-conference proceedings of the 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021, held in Moscow, Russia, in October 2021*. The 16 revised full papers were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: problem solving infrastructures, experim…

Distributed Machine Learning and Gradient Optimization

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based it…

Analysis of Images, Social Networks and Texts: 10th International Conference,…

This book constitutes revised selected papers from the thoroughly refereed proceedings of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, during December 16–18, 2021. The 20 full papers and 5 short papers included in this book were carefully reviewed and selected from 118 submissions. They were organized in topical secti…

FROM GRASBERG TO AMAMAPARE; Copper & Gold MINING PROCESS

-

Data Science: 8th International Conference of Pioneering Computer Scientists,…

This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical …

Big Data Analytics: 10th International Conference, BDA 2022, Hyderabad, India…

This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022. The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical se…