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Journal : Building of Informatics, Technology and Science

Analisis Pola Asosiasi Data Transaksi Penjualan Minuman Menggunakan Algoritma FP-Growth dan Eclat Najmi, Risna Lailatun; Irsyad, Muhammad; Insani, Fitri; Nazir, Alwis; ., Pizaini
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3592

Abstract

Every day transaction activities between companies and consumers continue to be carried out. This makes transaction data more and more and accumulate. This transaction data can be processed into more useful information using technology. Data mining is a technology that can work on a collection of transaction data into information that can be taken by companies as decision makers. The association rule method is used as a method to see the relationship between items in a transaction data. To analyze transaction data, researchers used the FP-Growth and Eclat algorithms. There are three stages of association in this study which are distinguished from the confidence value. The results in the first stage have a minimum confidence value of 0.4, the FP-Growth algorithm produces 41 association pattern rules, while the Eclat algorithm produces 32 association pattern rules. Then in the second stage the minimum trust value is 0.5, the FP-Growth algorithm produces 40 association pattern rules, for the Eclat algorithm it produces 32 association pattern rules. In the third stage, the minimum trust value is 0.6, the FP-Growth algorithm generates 32 association pattern rules, while the Eclat algorithm generates 30 association pattern rules. The results of the association pattern rules show that the Eclat algorithm is more efficient in determining the association pattern rules than the Fp-Growth algorithm
Klasifikasi Sentimen Menggunakan Metode Passive Aggressive dengan Menggunakan Model Bahasa BERT pada Dataset Kecil Subhi, Yazid Abdullah; Agustian, Surya; Irsyad, Muhammad; Insani, Fitri
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6389

Abstract

Text classification is one of the most popular tasks in natural language processing, especially in the context of sentiment classification. Insufficient training data poses a significant challenge in many text classification studies. This research focuses on optimizing classification performance using the Passive Aggressive (PA) algorithm, leveraging limited training data. It compares conventional text representation methods like TF-IDF with modern approaches employing word embeddings such as FastText and BERT. The primary dataset encompasses sentiment issues related to Kaesang Pangarep's appointment as the chairman of PSI, gathered through Twitter crawling, and classified into positive, negative, and neutral sentiment labels. Two versions of the training data, each containing only 300 balanced tweets for positive, negative, and neutral classes, were used. The data was split 80% for training and 20% for validation in the search for an optimal model. External data with different issues and pre-existing sentiment labels was used to augment the training data. Experimental results demonstrated that the BERT language model, used as input features for the Passive Aggressive method with hyperparameter tuning, outperformed TF-IDF features. Evaluation on the test data revealed that BERT features with Passive Aggressive achieved an F1-score of 0.52, surpassing the conventional TF-IDF representation with an F1-score of 0.42. The utilization of the BERT language model significantly contributed to improving text classification performance in the field of natural language processing, particularly for the Passive Aggressive method.
Co-Authors A.Yudi Eka Risano Adawiyah, Robi'Atul Aditya Gunawan, Aditya Admiral, Randa Afriyanti, Liza Agus Saputro, Mohammad Alif Agus Solikhin, Agus Agus Sugiri, Agus Agus Sutarjo Ahmad Farhan, Ahmad Ahmad Yonanda Ahyuni Ahyuni Akhmad Qashlim, Akhmad Alifa, Alifia Zuhriatul Alviona Marsya Alwis Alwis Amrizal Amrizal Amrul Amrul Amrul Ananda, Sherly Andysah Putera Utama Siahaan Aniswita Anshari, Muhammad Isa Anwar, Hasrul Ardelia, Adinda Abidah Asbanu, Govira Christiadora Aulia, Weko Indira Romanti Azmi, Khairil Baehaqi Bukhori, Bukhori Chairiyati, Fauziah Chandra, Reski Mai Dafid Slamet Setiana Delifah, Nur Denik Agustito Desmaiani, Herda Dhany, Hanna Willa Dian Fadli, Dian Dwi, Nurdin Elin Haerani Elliyana, Dessy Eriyadi, Riko erman Balo, Asri Andrias H Fachry Abda El Rahman Fajri, Zidan Fakhira, Adzra Fauziyyah, Laila Nurul Febi Yanto Febriansyah, Wahyu Fitri Insani Fitri Wulandari Fitria Sulistyowati Fitriaty, Fitriaty Gusti, Siska Kurnia Hadi Prayitno Haida Fitri Hakim, Naufal Harmen, Harmen Haryanto Haryanto Hasan Basri Helmy Fitriawan Helviansyah, Try Hendrawan, Rezki Naufan HERU WAHYUDI Hery Dian Septama Iffa, Marwika Rifattul Iis Afrianty Irsyada, Amelia Irza Sukmana, Irza istiqomah istiqomah Jaelani, Alan Jasril Jasril Jasril Jasril Jayadi, Yusma Indah Jayawarsa, A.A. Ketut Jumriah Syam, Jumriah Syam Junaidi Junaidi Khairudin, Rizal Khairul Khirfatul Jannah Krismadinata Krismadinata, Krismadinata kurnia, fitra Leni Marlina Lubis, Anggun Tri Utami BR. M, Musnaini M. Dyan Susila M. Haviz M. Ridho Ulya Martinus, Martinus Michel, Michel Misfa Susanto Muhamad Komarudin Muhammad Affandes Muhammad Arsan Jamili Muhammad Fikry Muliani, Sarifah Musafira Musafira Nafrizal Najmi, Risna Lailatun Najmuddin Abd Shafa Nalis, Amrizal Nasution, Rodiah Nazir, Alwis Nazruddin Safaat Nazruddin Safaat H Negara, Benny Sukma Niky Fetra, Niky Nugraha, M. Zein Farhan Nugraha, Yulian Nurlaila, Endang Pizaini Pizaini Pratama, Daffa Akbar Pratiwi, Trya Ayu Putri Ayuni, Desy R.S, Salsa Faradilla Rachmadi, Erfan Rafaelandri, Billy Rahmad Kurniawan Rahmad Kurniawan Raka Indra Lukmana Ramadhan, Syabani Ratna Sulistiyanti, Sri Retno Putri Lestari Reza Ramadhan, Reza Rijal Febriyantono, Muhammad Riszal, Akhmad Rizal Adi Saputra Rudi Susanto Safitri, Jehan Salsabillah, Angelia E. Sardi, Hajra Sari, Tyasha Ayu Melynda Setiawan, Ahmad Adi Sibawaihi Sibawaihi Silfia Hanani Silvy Amelia Sinaga, Jorfri Boike Sinaga, Jorfri Boyke Siti Nurul Rofiqo Irwan Sofiyah, Wan Sophian, Ali Sri Rahayu Budiani Sri Sukaesih Sry Rosita Subhi, Yazid Abdullah Subuh Tugiono, Subuh Sugiman Sugiman Suharso Suharso Suharto Linuwih Sujadi, A.A. Sukma Noor Akbar Sumarni Sumarni Supono Surya Agustian Suwanto Sanjaya Syarli, Syarli Tambunan, Toman Sony Tasnim Rahmat, Tasnim Titin Yulianti Triyadi, M Dico Uma, Yuli Choirul Vitriani, Yelfi Wahid Munawar Widiatama, Angga Jati Wiyanto - Yahya Mara Ardi Yani, Susmi Syahfrida Yogi, Muallim Supra Yosefa, Yessa Okta Yudianto Yudianto Yulian, Aji Muhammad Yuliani, Rika Yusra, Yusra Zainuddin, Ahmad Dennil Zakir, Supratman Zuhriyah, Indah Aminatus