[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-116923-id":3,"doc-seo-116923-113":31,"detail-sidebar-cat-0-id-113":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},116923,687207020761,"Patrick","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",54,"Penelitian & Laporan","KERJA PRAKTIK – IF184801 - IMPLEMENTASI MACHINE LEARNING PADA DATA WELL LOG","Laporan kerja praktik berfokus pada penerapan machine learning untuk mengolah dan memodelkan data well log milik Pertamina Hulu Energi dalam periode 1–31 Maret 2023. Kajian mencakup pemahaman serta pembersihan data, termasuk analisis missing values dan pembentukan cluster. Model yang digunakan meliputi DBSCAN, OPTICS, Boosted Random Forest, dan LSTM. Kinerja dievaluasi dengan metrik seperti RMSE, MAE, dan R2 disertai visualisasi hasil untuk mendukung interpretasi terhadap pola data dan kualitas prediksi.","KERJA PRAKTIK – IF184801  \nIMPLEMENTASI MACHINE LEARNING PADA DATA WELL LOG  \nPertamina Hulu Energi  \nJl. TB Simatupang No. Kav. 99, RT. 1/RW. 1, Kebagusan, Ps. Minggu, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12520  \nPeriode: 1 Maret 2023-31 Maret 2023  \nOleh:  \nSatrio Hanif Wicaksono 05111940000103  \nPembimbing Departemen  \nDr. Anny Yuniarti, S. Kom. , M.Comp.Sc.  \nPembimbing Lapangan  \nRiswandi  \nDEPARTEMEN TEKNIK INFORMATIKA Fakultas Teknologi Elektro dan Informatika Cerdas Institut Teknologi Sepuluh Nopember  \nSurabaya 2023  \nKERJA PRAKTIK – IF184801  \nIMPLEMENTASI MACHINE LEARNING PADA DATA WELL LOG  \nPertamina Hulu Energi  \nJl. TB Simatupang No. Kav. 99, RT. 1/RW. 1, Kebagusan, Ps. Minggu, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12520  \nPeriode: 1 Maret 2023-31 Maret 2023  \nOleh:  \nSatrio Hanif Wicaksono 05111940000103  \nPembimbing Departemen  \nDr. Anny Yuniarti, S. Kom. , M.Comp.Sc.  \nPembimbing Lapangan  \nRiswandi  \nDEPARTEMEN TEKNIK INFORMATIKA  \nFakultas Teknologi Elektro dan Informatika Cerdas Institut Teknologi Sepuluh Nopember  \nSurabaya 2023  \n[Halaman ini sengaja dikosongkan]  \nDAFTAR ISI  \nDAFTAR ISI iv  \nDAFTAR GAMBAR ix  \nLEMBAR PENGESAHAN xii  \nKATA PENGANTAR xvi  \nBAB I PENDAHULUAN 1  \n1.1. Latar Belakang 1  \n1.2. Tujuan 2  \n1.3. Manfaat 2  \n1.4. Rumusan Masalah 2  \n1.5. Lokasi dan Waktu Kerja Praktik 3  \n1.6. Metodologi Kerja Praktik 3  \n1.6.1. Perumusan Masalah 3  \n1.6.2. Studi Literatur 3  \n1.6.3. Metodologi Pengerjaan 3  \n1.6.4. Hasil dan Pembahasan 4  \n1.6.5. Kesimpulan dan Saran 4  \n1.7. Sistematika Laporan 4  \n1.7.1. Pendahuluan 4  \n1.7.2. Profil Perusahaan 4  \n1.7.3. Tinjauan Pustaka 4  \n1.7.4. Metodologi 4  \n1.7.5. Hasil Dan Pembahasan 5  \n1.7.6. Kesimpulan dan Saran 5  \nBAB II PROFIL PERUSAHAAN 6  \n2.1. Profil Pertamina Hulu Energi 6  \n2.2. Lokasi 6  \nBAB III TINJAUAN PUSTAKA 7  \n3.1 Conventional Well Log 7  \n3.2 Badhole Identification 7  \n3.3 Shear Wave Sonic Log 8  \n3.4 Exploratory Data Analysis 9  \n3.5 DBSCAN 10  \n3.6 OPTICS 11  \n3.7 Boosted Random Forest 12  \n3.8 LSTM 12  \n3.9 Evaluasi Model 13  \n3.9.1 RMSE 13  \n3.9.2 MAE 14  \n3.9.3 R2 14  \nBAB IV METODOLOGI 15  \n4.1. Alur Pekerjaan 15  \n4.1.1 Pemahaman Data 15  \n4.1.2 Persiapan Data 16  \n4.1.3 Pembentukan Model 16  \n4.1.4 Evaluasi dan Visualisasi 17  \n4.2. Peralatan Pendukung 17  \nBAB V HASIL DAN PEMBAHASAN 18  \n5.1 Pemahaman Data 18  \n5.2 Persiapan Data 22  \n5.2.1 Dropped Data untuk Cluster 22  \n5.2.2 Filled Data untuk Cluster 23  \n5.2.3 Shear Sonic Wave Log Data 27  \n5.3 Pembuatan Model 28  \n5.3.1 DBSCAN 28  \n5.3.2 OPTICS 28  \n5.3.3 Boosted Random Forest 29  \n5.3.4 LSTM 30  \n5.4 Evaluasi dan Visualisasi 30  \n5.4.1 DBSCAN 30  \n5.4.2 OPTICS 38  \n5.4.3 Boosted Random Forest 41  \n5.4.4 LSTM 42  \nBAB VI KESIMPULAN DAN SARAN 44  \n6.1 Kesimpulan 44  \n6.2 Saran 44  \nDAFTAR PUSTAKA 45  \nBIODATA PENULIS I 49  \n[Halaman ini sengaja dikosongkan]  \nDAFTAR GAMBAR  \nGambar 1 Contoh plot log yang menggambarkan visual dari beberapa kurva (Banas R., 2021) ............................................8  \nGambar 2 Proses Algoritma DBSCAN (M Ester, 1996) ........... 10  \nGambar 3 Proses mengurutkan Data Point bervariasi (M Ester, 1999) ................................................................................. 11  \nGambar 4 Alur Pekerjaan..................................................... 15  \nGambar 5 Peta Lokasi Well.................................................. 16  \nGambar 6 Missing Values Data ............................................ 18  \nGambar 7 Heatmap Korelasi Pearson .................................... 19  \nGambar 8 Korelasi NPHI dan RHOB ....................................20  \nGambar 9 Hasil Clustering (Banas R, 2021) ...........................20  \nGambar 10 Korelasi DTS dengan RMED, RSHA, GR, RHOB, NPHI, DTC, RDEP .............................................................21  \nGambar 11 Boxplot RMED, RSHA, GR, RHOB, NPHI, DTC, RDEP ............................................................................","cbCaipmNxXawcHp2","https://ap.wps.com/l/cbCaipmNxXawcHp2","pdf",2774766,4,1,66,"Indonesian","id",113,"# Daftar Isi\n## Bab I Pendahuluan\n## Bab II Profil Perusahaan\n## Bab III Tinjauan Pustaka\n## Bab IV Metodologi\n## Bab V Hasil dan Pembahasan\n## Bab VI Kesimpulan dan Saran\n# Daftar Gambar\n## Gambar 1 Contoh plot log\n## Gambar 2 Proses algoritma DBSCAN\n## Gambar 3 Proses mengurutkan data point\n## Gambar 4 Alur pekerjaan","[{\"question\":\"Apa tujuan utama kerja praktik pada data well log ini?\",\"answer\":\"Tujuan utamanya adalah menerapkan machine learning untuk mengolah data well log dan membangun model prediksi serta analisis berbasis metode yang ditentukan.\"},{\"question\":\"Metode machine learning apa saja yang digunakan dalam laporan ini?\",\"answer\":\"Laporan menggunakan DBSCAN, OPTICS, Boosted Random Forest, dan LSTM, disertai tahapan evaluasi dan visualisasi hasil.\"},{\"question\":\"Bagaimana kinerja model diukur?\",\"answer\":\"Kinerja dievaluasi menggunakan metrik seperti RMSE, MAE, dan R2, kemudian divalidasi melalui visualisasi untuk membantu interpretasi.\"}]","KERJA PRAKTIK – IF184801 - IMPLEMENTASI MACHINE LEARNING PADA DATA WELL LOG | PDF",1785672545,102,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"internship-report-if184801-implementation-of-machine-learning-on-well-log-data","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/id/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":53,"name":13,"@type":44,"position":20},"https://docshare.wps.com/id/document/internship-report-if184801-implementation-of-machine-learning-on-well-log-data/116923/",{"url":53,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-17","2026-08-02",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Apa tujuan utama kerja praktik pada data well log ini?","Question",{"text":76,"@type":77},"Tujuan utamanya adalah menerapkan machine learning untuk mengolah data well log dan membangun model prediksi serta analisis berbasis metode yang ditentukan.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Metode machine learning apa saja yang digunakan dalam laporan ini?",{"text":81,"@type":77},"Laporan menggunakan DBSCAN, OPTICS, Boosted Random Forest, dan LSTM, disertai tahapan evaluasi dan visualisasi hasil.",{"name":83,"@type":74,"acceptedAnswer":84},"Bagaimana kinerja model diukur?",{"text":85,"@type":77},"Kinerja dievaluasi menggunakan metrik seperti RMSE, MAE, dan R2, kemudian divalidasi melalui visualisasi untuk membantu interpretasi.","https://schema.org",{"og:url":53,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,99,103,107,111,115,117,121,125,129,133],{"id":95,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},55,"Agama & Spiritualitas",60,"religion-spirituality",{"id":100,"doc_module":4,"doc_module_name":47,"category_name":101,"show_sort_weight":97,"slug":102},48,"Cerita & Novel","story-novel",{"id":104,"doc_module":4,"doc_module_name":47,"category_name":105,"show_sort_weight":97,"slug":106},56,"Gaya Hidup","lifestyle",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":97,"slug":110},51,"Komik","comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":97,"slug":114},53,"Layanan Kesehatan","healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":97,"slug":116},"research-report",{"id":118,"doc_module":4,"doc_module_name":47,"category_name":119,"show_sort_weight":97,"slug":120},49,"Sastra","literature",{"id":122,"doc_module":4,"doc_module_name":47,"category_name":123,"show_sort_weight":97,"slug":124},52,"Teknologi","technology",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":127,"show_sort_weight":97,"slug":128},50,"Ujian","exam",{"id":130,"doc_module":4,"doc_module_name":47,"category_name":131,"show_sort_weight":97,"slug":132},57,"Umum","general",{"id":134,"doc_module":4,"doc_module_name":47,"category_name":135,"show_sort_weight":4,"slug":136},181,"Formulir","formulir"]