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Pemakaian berlebihan dapat menurunkan kreativitas dan pemahaman konteks, sekaligus menimbulkan risiko integritas akademik karena pengajar sulit membedakan tulisan AI dan manusia. Penelitian ini bertujuan mengidentifikasi apakah esai TOEFL berasal dari teks manusia atau GPT menggunakan metode Long Short Term Memory (LSTM) dengan tiga konfigurasi pembagian data. Hasil terbaik diperoleh pada konfigurasi 70:30 dengan loss 25,07%, akurasi 89,83%, dan prediksi 64,32%, serta menghasilkan sistem bantu untuk deteksi dan penilaian.",{"@graph":63,"@context":119},[64,81,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/identification-of-chatgpt-use-in-toefl-essays-using-long-short-term-memory-lstm-method/488139/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/identification-of-chatgpt-use-in-toefl-essays-using-long-short-term-memory-lstm-method/488139.png","ImageObject",300,407,{"name":89,"@type":90},"percent12345","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-10-04","2026-09-30",true,{"@type":99,"interactionType":100,"userInteractionCount":71},"InteractionCounter",{"@type":101},"ViewAction",{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"Penelitian ini bertujuan apa dalam konteks esai TOEFL?","Question",{"text":109,"@type":110},"Penelitian bertujuan membantu pengajar mengidentifikasi apakah esai TOEFL merupakan hasil teks manusia atau teks dari GPT.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"Metode apa yang digunakan untuk mendeteksi penggunaan GPT pada esai TOEFL?",{"text":114,"@type":110},"Penelitian menggunakan metode Long Short Term Memory (LSTM) untuk mengidentifikasi penggunaan GPT pada esai TOEFL.",{"name":116,"@type":107,"acceptedAnswer":117},"Bagaimana performa terbaik model berdasarkan konfigurasi pembagian data?",{"text":118,"@type":110},"Konfigurasi pembagian data 70:30 memberikan hasil terbaik dengan loss 25,07%, akurasi 89,83%, dan skor prediksi 64,32%.","https://schema.org",{"og:url":79,"og:type":121,"og:title":59,"og:site_name":92,"og:description":61},"article",{"robots":123,"canonical":79},"index,follow",{"doc_id":125,"site_id":56},488139,1791141189,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":89,"user_avatar":130,"doc_module":4,"category_id":30,"category_name":31,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":71,"is_deleted":4,"is_public":71,"is_downloadable":71,"audit_status":71,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":141,"read_time":142},1099529851338,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Identifikasi Penggunaan Chat GPT Pada Esai TOEFL Menggunakan  \nMetode Long Short Term Memory  \nKarina Natasya Darmawan*, Silvester Dian Handy Permana, Ketut Bayu Yogha Bintoro  \nProgram Studi Teknik Informatika, Fakultas Sains, Teknik, dan Desain, Universitas Trilogi, Jakarta, Indonesia [Email:](Email:1 karina.natasya29@gmail.com)[1](Email:1 karina.natasya29@gmail.com)[ karina.natasya29@gmail.com](Email:1 karina.natasya29@gmail.com), [2](2 handy@trilogi.ac.id)[ handy@trilogi.ac.id](2 handy@trilogi.ac.id), [3](3 ketutbayu@trilogi.ac.id)[ ketutbayu@trilogi.ac.id](3 ketutbayu@trilogi.ac.id)  \n[Email Penulis Korespondensi: karina.natasya29@gmail.com](Email Penulis Korespondensi: karina.natasya29@gmail.com)  \nAbstrak−Penggunaan teknologi kecerdasan buatan (AI) semakin meningkat seiring dengan perkembangan teknologi. Teknologi AI yang sering digunakan berupa aplikasi Chat GPT (Generative Pre-trained Transfomers) . Chat GPT merupakan suatu aplikasi yang digunakan oleh masyarakat sebagai sumber informasi, penyusunan suatu kalimat, membuat karya tulis, serta menjawab pertanyaanesai TOEFL. Penggunaan yang berlebihan dapat menyebabkan masyarakat kehilangan kreativitas danjati diri karena tidak memahami konteks dan terlalu mengandalkan hasil teks AI tersebut sehingga menimbulkan risiko akademis. Pengajar pun mengalami kesulitan untuk membedakan tulisan teks AI dan manusia. Oleh karena itu, penelitian ini digunakan untuk mengidentifikasi apakah esai TOEFL merupakan hasil teks manusia atau GPT. Penelitian ini memiliki tujuan untuk membantu pengajar dalam mengidentifikasi esai TOEFL apakah hasil teks manusia atau GPT. Penelitian menggunakan metode Long Short Term Memory (LSTM) untuk mengidentifikasi penggunaan GPT pada esai TOEFL. Terdapat 3 konfigurasi pembagian data pada metode LSTM untuk mendapatkan hasil terbaik. Data penelitian berupa 2 kumpulan data esai TOEFL dengan perintah esai yang sama serta memiliki jumlah sampel sebesar 220 sampel data. Metode LSTM merupakan modifikasi dari algoritma Recurrent Neural Network (RNN) dan termasuk ke dalam metode Deep Learning. Metode LSTM melibatkan sel memori yang dikontrol oleh tiga gerbang, yaitu input gate, forgot gate, dan output gate serta hidden state. Gerbang berfungsi untuk memutuskan dan mengontrol informasi yang ditambahkan, dihapus, dan dikeluarkan dari sel memori. Hasil penelitian merupakan suatu sistem yang dapat membantu pengajar untuk mendeteksi penggunaan GPT pada esai TOEFL. Penelitian berhasil mengidentifikasi penggunaan GPT pada esai TOEFL dalam konfigurasi pembagian data 70:30 dengan skor loss sebesar 25,07%, skor akurasi 89,83%, dan skor prediksi 64,32% . Oleh karena itu, diharapkan sistem dari penelitian dapat membantu pengajar dalam identifikasi penggunaan GPT serta memudahkan penilaian esai TOEFL.  \nKata Kunci: Identifikasi; Chat GPT; LSTM; Manusia; TOEFL  \nAbstract−The use of Artificial Intelligent (AI) technology is increasing along with technological developments. One of the technologies that is often used is Chat GPT (Generative Pre-trained Transformers) . Chat GPT is an application used for many things such as source of information, write an essay, and answer TOEFL essay questions. Because of its easiness, people will excessively use this that can cause people to lose creativity because they do not understand the material context and rely too much on the AI text result, which poses academic risks. Teachers also have difficulty to distinguish between AI and human text writing. Therefore, this research is to identify whether TOEFL essay are result of human text or GPT. This research used the Long Short Term Memory (LSTM) method to identify the use of GPT in TOEFL essay. This research also used 3 different split data configurations to find the best results. This research consists of 2 TOEFL essay datasets with the same prompt and has total of 220 data samples. The LSTM method is a modification of algorithm Recurrent Neural Network (RNN) and part of Deep Learning. The LSTM","cbCaihtCcuTdVJYS","https://ap.wps.com/l/cbCaihtCcuTdVJYS","pdf",607677,11,"Indonesian","# PENDAHULUAN\n## Latar Belakang\n# METODE PENELITIAN\n## Perancangan dengan LSTM\n## Konfigurasi Pembagian Data\n# HASIL DAN PEMBAHASAN\n## Evaluasi Kinerja Model\n# KESIMPULAN DAN SARAN\n## Implikasi bagi Pengajar","[{\"question\":\"Penelitian ini bertujuan apa dalam konteks esai TOEFL?\",\"answer\":\"Penelitian bertujuan membantu pengajar mengidentifikasi apakah esai TOEFL merupakan hasil teks manusia atau teks dari GPT.\"},{\"question\":\"Metode apa yang digunakan untuk mendeteksi penggunaan GPT pada esai TOEFL?\",\"answer\":\"Penelitian menggunakan metode Long Short Term Memory (LSTM) untuk mengidentifikasi penggunaan GPT pada esai TOEFL.\"},{\"question\":\"Bagaimana performa terbaik model berdasarkan konfigurasi pembagian data?\",\"answer\":\"Konfigurasi pembagian data 70:30 memberikan hasil terbaik dengan loss 25,07%, akurasi 89,83%, dan skor prediksi 64,32%.\"}]","Identifikasi Penggunaan Chat GPT Pada Esai TOEFL Menggunakan Metode Long Short Term Memory (LSTM) | PDF",1790810519,17]