cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ali Rahman
Contact Email
ali@uinsgd.ac.id
Phone
+6285721730810
Journal Mail Official
conferences.uinbandung@gmail.com
Editorial Address
Rumah Jurnal UIN Sunan Gunung Djati Bandung Jl. AH Nasution No.105 Cibiru, Bandung 40614
Location
Kota bandung,
Jawa barat
INDONESIA
Gunung Djati Conference Series
Published by UIN Sunan Gunung Djati Bandung
ISSN : 27746585     EISSN : -     DOI : -
Core Subject : Religion, Economy, Science, Education, Agriculture, Social, Engineering,
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Other
Gunung Djati Conference Series merupakan penyedia layanan publikasi dan konferensi berbagai bidang keilmuan yang diterbitkan oleh UIN Sunan Gunung Djati Bandung dan sebagai sarana publikasi hasil penelitian. Penerbit ini memuat artikel yang belum pernah dipublikasikan sebelumnya yang berupa artikel hasil penelitian ataupun penelitian terapan. Informasi mengenai pedoman penulisan artikel dan prosedur pengiriman artikel terdapat pada setiap penerbitan. Semua artikel yang masuk akan melalui ‘peer-review process’ setelah memenuhi persyaratan sesuai pedoman penulisan artikel, kemudian penerbit menyerahkan semua template ke pelaksana konferensi keilmuan. Penerbitan artikel ini dilakukan sesuai kegiatan yang dilaksanakan oleh penyelenggara konferensi.
Arjuna Subject : Umum - Umum
Articles 19 Documents
 1   2 
Search results for , issue "Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020" : 19 Documents clear
Film Recommendation Analysis with Sequential Pattern Discovery Algorithm Using Equivalence classes (SPADE) Aisyah Amini Nur; Akbar Hidayatullah Harahap; Ihsan Muttaqin Bin Abdul Malik; Muhammad Irfan Nur Imam; Muhammad Thariq Sabiq Bilhaq; Angelyna Angelyna
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.306 KB)

Abstract

Currently, the internet is the most essential thing in human life. So that there is a change in human needs, one of which is enjoying entertainment. With the internet, enjoying entertainment can be done anywhere and anytime, one of the entertainment is movies. With the internet, many service providers provide movie watching sites online. So that people become interested and use it a lot to watch movies online. With the increase in film fans, a film recommendation system is required to make a film recommendation pattern based on previous movie viewing. Therefore, this study aims to provide recommendations for viewing films using the pattern recognition method that often occurs. The technique used is sequence pattern mining using SPADE to find patterns from a group of data. SPADE's advantage is its speed in finding sequence frequencies that can be used as movie recommendation data from previous shows.
Determination of Film Recommendations using the Generalized Sequence Pattern (GSP) Association Method Acep Razif Andriyan; Dinda Meysya Rochma; Melani Nur Mudyawati; Miftahul Jannah; Siti Lufia Dwi Agustini; Arham Aulia Nugraha
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.618 KB)

Abstract

Along with the development of the times, films are used as a medium of communication and as a medium of entertainment that can be watched by fans everywhere. The high level of film enthusiasts makes viewing patterns that can be used as recommendation data. Besides, this system can provide benefits to the company concerned. This study used the Generalized Sequential Pattern (GSP) Algorithm with the Association Mining method. The primary function is to find the sequence or sequential of a set of attributes that often appear together to see the results to find out the recommendation data information after the previous film runs out.
Implementation of the Apriori Algorithm for Film Recommendations based on Director and Movie Duration Kamal Zaki Abdurrafi; Ryan Reliovani; Nina Nadia Syafitri Husein; Cecep Rafqi Al Husni; Muhammad Azka Khowarizmi; Karima Marwazia Shaliha
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (570.766 KB)

Abstract

The Film Industry is an industry that never dies, in Indonesia itself for the past three years the number of film viewers has continued to increase. Reporting from the indonesia.go.id page in 2018 the number of film productions produced is almost 200 titles, from the large number of films produced, of course film lovers have different tastes for films, one way that can be used to increase attractiveness in films is the existence of film recommendation system based on film trends based on the director and how long the ideal film duration for prospective viewers. The algorithm chosen in this research is to find and determine the pattern of director selection and film duration available in 1001 data on film data, the data will be divided into lists consisting of 30 items. The results of this study are film recommendations based on a priori algorithm with the director and film duration as a reference for association rules. The results obtained from this study are that the apriori algorithm can be implemented in film recommendations based on the director and film duration.
The Frequent Pattern Growth Algorithm in the Film Recommendation System Angelyna Angelyna; Arham Aulia Nugraha; Karima Marwazia Shaliha; Muhammad Humam Wahisyam; Tri Kurnia Sandi; Acep Razif Andriyan
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.417 KB)

Abstract

In order to decrease the covid-19 rate, people choose to stay at home. Watching movies with family can be an alternative to fill activities during a pandemic. But sometimes it’s hard to determine the film to be watched. To overcome this a recommendation system is needed. This research is shown to build a system recommendation for film recommendations next will be witnessed. This system created using the Frequent Pattern Growth Algorithm which will do filtering later against several films based on the user’s viewing history. The results of testing the recommendation system using the FP-Growth algorithm work well and can show a minimum support value of 0.973 and a confidence value of 0.291, where the size of this value affects the resulting pattern output.
Viewer Movie Predictions based on Genres, Actors, and Directors based on Data Mining Using the Eclat Algorithm Deden Muhamad Furqon; Riki Ahmad Maulana; Ahmad Fauzi; Nurul Dwi Cahya; Muhammad Nur Sidiq; Tri Kurnia Sandi
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.386 KB)

Abstract

Movies are a place for everyone to find pleasure and entertainment. The film industry is an essential part of the economy in this world. On average, 79% of people in the world enjoy watching movies for their entertainment. Therefore, the film industry has become a huge industry, but it is difficult to predict because the audience's desires are very diverse. Therefore, we created a prediction system for user choices based on the recommendations that will be presented, most likely to be enjoyed by audiences based on genre, actor, and their favorite director, which will function for producers to analyze the market. The method used is data mining using the Eclat algorithm, which has five processes in it. The result is that we get and sort 5043 data by 28 columns and omit some with a support threshold of 0.003 and evaluate the results after evaluating the film data obtained from 1169 lines with a value above 0.003 supporting data to predict user choice recommendations.
Implementation of the Prefixspan Algorithm for Recommended Cinema Showings Adellia Rahmasari; Dimas Adi Putra Pratama; Nisvy Sya`'bana Nugraha; Risnandy Maulana; Dinda Meysya Rochma
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.936 KB)

Abstract

Along with technological developments that cause the amount of information available is also getting closer, at this time there are approximately 16.3 ZB data or the equivalent of one trillion GB. The purpose of this research is to see how the application of the Prefixspan algorithm for Sequential Pattern Mining (a method for obtaining an ordered pattern). The data used is Movie Meta Data in which there are several columns including genre, director, film etc. With this data, we purpose viewers to present recommendation films to be shown in theaters based on audience enthusiasm from the processed data.
The Film Recommendation System uses the Recursive Elimination Algorithm Aaz M Hafidz Azis; Nisa Eka Juliana; Faridah Dewi Khansa; Miftahul Jannah
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.869 KB)

Abstract

The number of films has increased to become denser. Therefore, it is very difficult to find the film that users are looking for through existing technology. For this reason, users want a system that can suggest their film needs and the best technology about this is a recommendation system. However, the most recommended system is to use the collaborative filtering method to predict user needs because this method provides the most accurate predictions. Currently, many researchers are concerned with developing methods for increasing accuracy rather than using collaborative screening methods. In this paper we use the Recursive Elimination (RElim) algorithm for the film recommendation system. As a result, each itemset is annotated with its support. Itemset support is the number of times the itemset appears in the transaction database
Classification of Heart Disease Diagnosis using the Random Forest Algorithm Akbar Hidayatullah Harahap; Ihsan Muttaqin Bin Abdul Malik; Muhammad Irfan Nur Imam; Muhammad Thariq Sabiq Bilhaq; Aisyah Amini Nur; Siti Lufia Dwi Agustini
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.088 KB)

Abstract

The heart is an important part of the human body organs. But it does not rule out this heart problem and causes several symptoms, causing deadly heart disease. Therefore, many studies are used to obtain fast, precise and accurate heart disease diagnosis data. One of them is the classification of heart disease diagnoses using the Random Forest algorithm. This random forest algorithm method uses several unified decision trees. So that accurate results can be obtained regarding the diagnosis of this heart disease. The accuracy obtained from the experimental results using the Python programming language is 85.3%.
Decision Tree Algorithm for Determining Gender based on Sound Recording Nina Nadia Syafitri Husein; Kamal Zaki Abdurrafi; Ryan Reliovani; Cecep Rafqi Al Husni; Muhammad Azka Khowarizmi; Deden Muhamad Furqon
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (239.788 KB)

Abstract

Humans are born with their own uniqueness and character, even though having a uniqueness that classifies humans by sex is something that is not difficult to do. In humans, the way to differentiate between men and women is to look at physical differences and listen to different voices between men and women. On the computer, gender differences can also be identified by classifying male and female voices using a tree decision algorithm with a previously appeared dataset in the form of a sample of 3168 male and female voice recordings, the voice recording sample is processed by acoustic analysis in R using Seewave and tuneR packages with frequency interval 0 hz - 280 hz. Meanfun is used as a predictor for the root sound dataset, with a threshold <= 0.142, with an optimal depth value of 6 using the cross validation method, the results achieved are the accuracy training set of 99.18809% and the accuracy test set reaches 95.89905%.
Implementation of the ID3 Algorithm for Classification of Car Quality Dimas Adi Putra Pratama; Nisvy Sya`'bana Nugraha; Risnandy Maulana; Adellia Rahmasari; Ahmad Fauzi
Gunung Djati Conference Series Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (647.432 KB)

Abstract

Transportation like a car is needed by most of family. Cheap, economical and comfortable family cars have been sold in the market. However, buyers must be careful in finding the car they want. To get the best car, many factors are taken into consideration, such as price, seating, and comfort. Comfort is the main thing in owning a car. There are cars that are expensive but do not have comfort, and vice versa. Therefore, we discuss how the Iterative Dichtomizer Three (ID3) Algorithm can be implemented for the classification process of any car with quality according to price, seat and passenger comfort.

Page 1 of 2 | Total Record : 19

 1   2 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Vol. 49 (2025): RISMA: Riset Magang Mahasiswa Agroteknologi 2020 Vol. 48 (2025): RISMA: Riset Magang Mahasiswa Agroteknologi 2019 Vol. 55 No. 1 (2025): International Conference on Language Learning and Literature (ICL3) Vol. 54 No. 3 (2025): Mathematics Education on Research Publication (MERP) III Vol. 52 (2025): The 9th Conference Series Learning Class: Religious and Social Humaniora Vol. 50 (2025): The 3rd Students Conference of Social Science, Political Science, and Public Adminis Vol. 56 (2025): Seminar Nasional Ekonomi dan Bisnis Islam Vol. 51 (2025): SCOPE – Sustainability Conference on People and Environment Vol. 47 (2024): Seminar Nasional Biologi (SEMABIO) ke-9 Tahun 2024 Vol. 45 (2024): The 2nd Annual Islamic Education Management Conference 2024 Vol. 44 (2024): Seminar Nasional (SEMNAS) Kimia Tahun 2024 Vol. 38 (2024): Seminar Nasional Perhimpunan Agronomi Indonesia (PERAGI) 2023 Vol. 46 (2024): The 8th Conference Series Learning Class: Religious Study, Language, and Education Vol. 43 (2024): The 7th Conference Series Learning Class: Religious Study, Language, and Education Vol. 41 (2024): The 6th Conference Series Learning Class: Religious Study, Language, and Education Vol. 39 (2024): The 2nd Students Conference of Social Science, Political Science, and Public Adminis Vol. 42 (2024): Seminar Nasional Ekonomi dan Bisnis Islam Vol. 40 (2024): Mathematics Education Research Publication II Vol. 37 (2024): Conference on Participation and Development in Community Creative Industries (CPD-CC Vol. 30 (2023): Prosiding Seminar Nasional Pendidikan Biologi ke-4 Tahun 2023 Vol. 36 (2023): Annual Islamic Education Management Conference 2023 Vol. 35 (2023): Seminar Nasional Biologi (SEMABIO) Tahun 2023 Vol. 34 (2023): Prosiding Seminar Nasional Kimia Tahun 2023 Vol. 33 (2023): Seminar Nasional Pertanian 2023 Vol. 18 (2023): Prosiding Seminar Nasional Biologi (SEMABIO) Tahun 2022 Vol. 32 (2023): The 5th Conference Series Learning Class: Religious Study, Language, and Education Vol. 31 (2023): The 4th Conference Series Learning Class: Religious Study, Language, and Education Vol. 28 (2023): The 3rd Conference Series Learning Class: Religious Study, Language, and Education Vol. 27 (2023): The 1st Students Conference of Social Science, Political Science, and Public Adminis Vol. 26 (2023): The 1st Arabic Language Learning International Conference (ALLICO) Vol. 21 (2023): The 1st Nurjati Conference Vol. 20 (2023): The 2nd Conference Series Learning Class: Religious Study, Language, and Education Vol. 19 (2023): The 4th Conference on Islamic and Socio-Cultural Studies (CISS) Vol. 29 (2023): Conference on Islamic Civilization (CIC) Vol. 25 (2023): Seminar Isu Kontemporer Vol. 24 (2023): Multidisciplinary Research Vol. 23 (2023): Religious Studies Vol. 22 (2023): Conference Series Learning Class Tauhid and Akhlak Vol. 15 (2022): Prosiding Seminar Nasional Kimia Tahun 2022 Vol. 14 (2022): Mercusuar 2022: Studi Keislaman dan Pemberdayaan Umat Vol. 7 (2022): Seminar Nasional Kimia 2021 Vol. 10 (2022): Islamic Religions Education Conference (IRECON) Series 1 Vol. 9 (2022): The 3rd Conference on Islamic and Socio-Cultural Studies (CISS) Vol. 8 (2022): The 2nd Conference on Ushuluddin Studies Vol. 17 (2022): Conference Series Learning Class: Religious Study, Language, and Education Vol. 16 (2022): CATAH: Conference Article of Takhrij Al-Hadith Vol. 13 (2022): The Conference on Islamic Early Childhood Education (CIECE) Vol. 12 (2022): Mathematics Education on Research Publication (MERP I) Vol. 11 (2022): Conference Series Learning Class Vol. 6 (2021): Seminar Nasional Biologi (SEMABIO) 6 Tahun 2021 Vol. 3 (2021): Mini Seminar Kelas Data Mining 2020 Vol. 2 (2021): Seminar Nasional Tadris Kimiya 2020 Vol. 4 (2021): The 1st Conference on Ushuluddin Studies Vol. 5 (2021): Proceedings Conference on Chemistry and Hadits Studies Vol. 5 (2021): Proceedings Conference on Chemistry and Hadith Studies Vol. 1 (2021): Conference on Islamic and Socio-Cultural Studies (CISS) More Issue