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Rumah Jurnal UIN Sunan Gunung Djati Bandung Jl. AH Nasution No.105 Cibiru, Bandung 40614
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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 1,880 Documents
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Takhrij and Syarah Hadith of Agrotechnology Study of Planting Citrus Pest Free Maghfira Putri Nurastuti; Wahyudin Darmalaksana; Ida Yusidah
Gunung Djati Conference Series Vol. 1 (2021): Conference on Islamic and Socio-Cultural Studies (CISS)
Publisher : UIN Sunan Gunung Djati Bandung

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Abstract

This study aims to discuss the hadith regarding the study of planting citrus plants free from pests. This research method is qualitative through the takhrij and syarah hadith approaches. The results and discussion of this study is the use of appropriate activity methods, namely an expert system for diagnosing diseases and pests of citrus using the euclidean distance method or the shortest distance from each existing symptom against pests or citrus diseases. The conclusion of this study is that it is hoped that this method can help users to make it easier to find information about diagnosing pests and diseases so that they are free from pests and diseases and are suitable for sale as found in the Prophet's hadith.
Takhrij and Syarah Hadith of Agrotechnology: Benefits of Fruits and Olive Oil Muhammad Fauzan; Esty Puri Utami; Wahyudin Darmalaksana
Gunung Djati Conference Series Vol. 1 (2021): Conference on Islamic and Socio-Cultural Studies (CISS)
Publisher : UIN Sunan Gunung Djati Bandung

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Abstract

This study aims to discuss the hadith of the Prophet Muhammad ï·º regarding fruit and olive oil. This research method is a qualitative type through literature study and field studies with the takhrij and sharah hadith approaches. Results and discussion of this research olive is a plant endowed by Allah which has many benefits. The conclusion of this study is that the takhrij and syarah of agrotechnology hadith regarding fruit and olive oil are proven to have better quality than vegetable oils and other animal oils because they do not have side effects that can cause disease.
Takhrij and Syarah Hadith of Agrotechnology Sabir Leaves as Eye Pain Medicine Annisa Nur Azizah; Wahyudin Darmalaksana; Yati Setiati Rachmawati
Gunung Djati Conference Series Vol. 1 (2021): Conference on Islamic and Socio-Cultural Studies (CISS)
Publisher : UIN Sunan Gunung Djati Bandung

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Abstract

This study aims to discuss the hadith with regard to agrotechnology. This research method is a qualitative type through literature study and field studies with the takhrij and sharah hadith approaches. The results and discussion of this study are about the content and benefits of sabir leaves as an eye pain medication recommended by the Prophet Muhammad. The conclusion of this research is takhrij and syarah hadith of the Prophet about the content of sabir leaves starting from overcoming panda eyes, minus eyes, and cataracts.
Takhrij and Syarah Hadith of Agrotechnology Study of Black Cumin Plants as Medicine Daffa Muhammad Rizky; Efrin Firmansyah; Wahyudin Darmalaksana
Gunung Djati Conference Series Vol. 1 (2021): Conference on Islamic and Socio-Cultural Studies (CISS)
Publisher : UIN Sunan Gunung Djati Bandung

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Abstract

This study aims to discuss the hadith regarding black cumin plants. This research method is a qualitative type through literature and field studies with the takhrij and syarah hadith approaches. The results and discussion of this research is that black cumin is an antidote for all diseases according to the hadith of the Prophet SAW with a lot of ingredients in it. The conclusion of this research is takhrij and syarah hadith about black cumin with agrotechnology analysis found as an antidote for every disease except death.
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

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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

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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

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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

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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

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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

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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.

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