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Journal : JAIA - Journal of Artificial Intelligence and Applications

Sentiment Analysis to analyze Vaccine Enthusiasm in Indonesia on Twitter Social Media M. Khairul Anam; Rahmaddeni; Muhammad Bambang Firdaus; Hadi Asnal; Hamdani
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 2 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.215 KB) | DOI: 10.33372/jaia.v1i2.794

Abstract

Vaccines are one way to prevent the coronavirus from entering the human body, although it is not 100% accurate. However, the implementation of vaccination in Indonesia is still controversial. People give their opinions directly or through social media such as Twitter. Retrieval of tweets using the Twitter API and using python. The data obtained is then preprocessed using case folding, cleaning, tokenizing, filtering, and stemming. After that, the model was evaluated using the Naive Bayes method. Naïve Bayes is a classification method that can predict the probability of a class to produce decisions based on learning data. Currently, nave Bayes is one of the methods to find accuracy in sentiment analysis that is often used and is the best. The results of this study obtained an accuracy of 79%.
Comparison of Support Vector Machine and Random Forest Algorithms for Analyzing Online Loans on Twitter social media Hamdani; N.A, Randi; M. Khairul Anam
JAIA - Journal of Artificial Intelligence and Applications Vol. 4 No. 1 (2024): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v4i1.1087

Abstract

Online loans represent a form of financial service wherein borrowers can apply for loans through digital platforms without the need to visit physical offices. The application, approval, and disbursement processes are conducted online, leveraging technology to facilitate financial access and transactions. However, some online lending services impose high-interest rates, resulting in a significant financial burden for borrowers. Moreover, there are instances of inappropriate debt collection practices, such as contacting the borrower's friends or family, leading to discussions and comments on social media platforms like Twitter. This research aims to analyze the patterns of comments in Indonesian society regarding online lending. The study utilizes sentiment analysis and compares machine learning algorithms to assess their accuracy. The algorithms employed in this study are Support Vector Machine (SVM) and Random Forest. The results indicate that the SVM algorithm achieves an accuracy of 93.85%, while Random Forest achieves an accuracy of 91.62%.
The Optimizing Sales Strategies to Address Excessive Stock Accumulation: A Data Mining Approach Susandri; Muhammad Arief Solihin; Hamdani; Asparizal
JAIA - Journal of Artificial Intelligence and Applications Vol. 4 No. 1 (2024): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v4i1.1110

Abstract

The Two Pelita Weaving Business has recorded significant sales in the weaving industry, despite facing challenges in managing product stock due to the accumulation of excess stock caused by a lack of customer interest. This study employs data mining techniques, specifically the Association Rule and Apriori algorithms, to analyze sales patterns. The analysis results using Python and Orange Data Mining showed consistency in the relationship between Siku Keluang Weaving and Pucuk Rebung Weaving products, with high occurrence rates of purchase patterns (11.74% and 10%, respectively). High confidence levels with Python at 96.36% and Orange Data Mining at 99.1% indicate that customers who purchase Siku Keluang Weaving are also likely to purchase Pucuk Rebung Weaving products.
Comparison of Support Vector Machine and Random Forest Algorithms for Analyzing Online Loans on Twitter social media Hamdani; N.A, Randi; M. Khairul Anam
JAIA - Journal of Artificial Intelligence and Applications Vol. 4 No. 1 (2024): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v4i1.1087

Abstract

Online loans represent a form of financial service wherein borrowers can apply for loans through digital platforms without the need to visit physical offices. The application, approval, and disbursement processes are conducted online, leveraging technology to facilitate financial access and transactions. However, some online lending services impose high-interest rates, resulting in a significant financial burden for borrowers. Moreover, there are instances of inappropriate debt collection practices, such as contacting the borrower's friends or family, leading to discussions and comments on social media platforms like Twitter. This research aims to analyze the patterns of comments in Indonesian society regarding online lending. The study utilizes sentiment analysis and compares machine learning algorithms to assess their accuracy. The algorithms employed in this study are Support Vector Machine (SVM) and Random Forest. The results indicate that the SVM algorithm achieves an accuracy of 93.85%, while Random Forest achieves an accuracy of 91.62%.
The Optimizing Sales Strategies to Address Excessive Stock Accumulation: A Data Mining Approach Susandri; Muhammad Arief Solihin; Hamdani; Asparizal
JAIA - Journal of Artificial Intelligence and Applications Vol. 4 No. 1 (2024): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v4i1.1110

Abstract

The Two Pelita Weaving Business has recorded significant sales in the weaving industry, despite facing challenges in managing product stock due to the accumulation of excess stock caused by a lack of customer interest. This study employs data mining techniques, specifically the Association Rule and Apriori algorithms, to analyze sales patterns. The analysis results using Python and Orange Data Mining showed consistency in the relationship between Siku Keluang Weaving and Pucuk Rebung Weaving products, with high occurrence rates of purchase patterns (11.74% and 10%, respectively). High confidence levels with Python at 96.36% and Orange Data Mining at 99.1% indicate that customers who purchase Siku Keluang Weaving are also likely to purchase Pucuk Rebung Weaving products.
Co-Authors -, M Saleh Abda Abda Abdul Aziz Abdul Holik, Abdul Abdur Rahmanesa, Abdur Abubakar, Al Asri Ade Mirza Adi Sastra Pengalaman Tarigan Adisastra Pengalaman Tarigan Affan, Muhammad Afriana Agung Hartoyo Agustin Agusviyanda Agusviyanda Ahmad Abtokhi Ahmad Alim Bachri Ahmad Suaedy Ahmad Yani T Aida Ajid Thohir Al Asri Abubakar Alahuddin Ali Nurhadi Alin Riani Alvina Anggraini Alwi Amanti, Anggi Tias Ambar Lukitaningsih Aminullah, Lanang Maulana Anam, M Khairul Andarini Rani Prabowati Andi Azhar, Andi Azhar Andi Tenri Kawareng Andri Setiadi Anggreani, Desi Anindita Septiarini, Anindita Anna Noviana Anria, Reni Aqiilah, Dian Arby, Syahroni Ariani, Linda Asep Nursangaji Asmaji Asparizal As’ady, Mustofa Atma Hayat Audina, Nia Aulia Nur Azizah Aulia Sandhi Kurniawan Ayu Oktaviani, Ayu Azwar Yunus Baehaqi Bagio Basuki Bela Barus Beni Satria Cahyadi Supyansuri Charli, Chintya Ones Cuhenda Darul Ilmi Dealita, Nur Dede Suratman Dhea Zatira Dian Ahmad BS Dimyati, Arjun Dwi Patlan Dino, Paternus Surya Dona Fitriawan Dyah Nuri Mardania Edy Yusmin Eka Boby Febrianto Eka Wahyuningsih Elsa Audia Utami Eni Suharti erfandari, ovy Erlinda, Susi Erwina Oktavianty Fahmi, Nuzulul FARMIATI, JOSI Fauzah Nur Aksa Fauzan Misra Febrianto, Hendra Galuh Feti Fahmimroah Fimaulidina, Noor Rizqiya Firdaus Firman Hakiki Fuadi Gadis Afriani Gadis Ayu Rizky Darmala Galang Reza Firdaus Budiutomo Ganefi Gerrit M. Pentury Ginanjar, Igus Rahmat Gunadi Guslaili, Rafika Gustiar Martua Siregar Hadi Asnal, Hadi Hakim Muttaqim Hakim, Mohamad Zulman Hakim, Syahirman Halini Hamdani Hamdani Haratua Tiur Maria Silitonga Hartoyo , Agung Hasbi Heddy Setiawan Helen Retno Wulandari Heni Listiana Hery Kresnadi Hidayah, Rizki Hidayat Hersan Pratama Hidayatullah, M. Musa S. Hikmatul Fadhilah Sianipar Hilmi Hilmi Hisyam Fahmi Husna Husni Pasarela Hustna Dara Sarra Ibnu Yasier Ida Ayu Putu Sri Widnyani Ihsanuddin Ijal Fahmi, Ijal Ilda Melisa Ilham Nuzul Firman Illahi, Kurnia Fitri Imam Hidayat Innaufal, Ilham Trialdi Intan Rahmawati Iqbal, Muhammad Iqbal IRWANSYAH ISKANDAR Ismail Isnan Murdiansyah Iswadi Jamaris, Muhammad Joko Susetyanto Jordy, Steven Judyanto Sirait Julia Julpandi Jumadiah Junaidi Junaidi Jungjungan, Muhammad Arisandi Karmana, Dedi Karnilawati Kholdi, Faldini Kudadiri, Parlindungan Lukman Lukman M. Rasyidin M. Rimawan Maghfirah, Nurul Mahmud Mahyiddin Maimun Malia, Rezqi Markus Suryoutomo Marzuki Mazidah, Isti'anatul Melinda Wijaya Melsa Putri Mikrad mikrad Mochamad Ridwan Moh. Fathur Rohman mohamad rifat Mohamad Zulman Hakim Mohammad Ali Al Humaidy Mohammad Solekhan Mokhlis Muchamad Arif Al Ardha Muchimah Muhammad Al-fareza Muhammad Arief Solihin Muhammad Bambang Firdaus Muhammad Dirhamsyah Muhammad Habil Muhammad Hatta Muhammad Rasyid Ridha MUHAMMAD RIZAL Muhammad Rizki Asrul Muhammad Rusdiansyah Muhammad Shohibuddin Muhibuddin Mukhtar Mulyani, Nani Musataklima Mustika Amri N.A, Randi Nafa Salsabila Naim Sulaiman Neneng Nurlaila Ni Made Dwi Puspitawati Nonik Kusuma Ningrum Nor Hikmah Norlena Novika Rosari Novrayhan Rahmadika Mr Nugraha, Billy Nur Efendy, Agik Nur Sulistyo Budi Ambarini Nurcahya Nurdan Nurfadilah Siregar Nuri Wahda Salsabila Usmany Nurmasyitah Nurmisba Ovriyaidn Pangesti, Rizka Dhilla Dwi Pasaribu, Revi Lestari Permatasari, Reskia Dwi Pratama, Rizky PUJI LESTARI Puji Muniarty Puput Putra, Fahreza Qalbi, Dailla Qomaruddin R.Wisnu Fergy Pamungkas Rahma Fitri Rahmaddeni Rahmaddeni Ramadhan, Yogi Rifansyah Reniawaty, Dewi Ridwan Rika Savitri Rikko kurnia fitra Rikko kurnia fitra Rini Andriani Rivanthio, Tubagus Riko Rizka Donny Agung Saputra Robiatul Andawiyah Rohwati, Siti Romi Asmara Rustam Efendi Sabaruddin Safrika Saiful Bahgia Saleh, M Sandy Prabowo Sapto Wibowo Saputra, Syifa Sarwo Eddy Wibowo Saryana Sasmita, Yudi Satryawati Septiza Shalih Husni Siti Anisah Siti Chanifah Siti Lathifah, Suci Slamet Sofyan Jafar Soleha Sonia Nadia Muslimah Sopan Hidayat Sri Murni Sri Sudono Saliro Subaidi, Joelman Sugiatno . Suharno, M.Iqbal Suharno, Muhammad Iqbal Susandri, Susandri SUSANTI Susetyanto, Joko SUSI ERLINDA Sustari Alamsyah Sutriani Syabarrudin, Agus Syadella Nur Aqilla Syahrabanu, Indik Syaiful Amin Syamsul Rizal T.Sy Eiva Fadha Tahir, Muhlis Tajul Munir Tasya Hiana Cecilia Tasyukur Teuku Yudi Afrizal Thorik Satria Ilmi Tiara Tomo Djudin Tomo Djudin Tri Ananda Muhammad, Vajrel Triyani Arita Fitri Tulili, Hadie Pratama Tuty Ningsih Udiannoor Ulfah Fajarini Uliyah, Siti Wahyu Wahyu Sulaksono WAHYUDI Wahyudin Wedra Aprison Widia Winata, Nugraha Pandu Yanti, Asri Vivi Yola Dyfa Meisari Yudith Evametha Vitranilla Yundari Yustisi, Nabhani Zaiyar, M. Zubaidah R, Zubaidah ZUBIR Zulfadli