{ "eprintid": 31843, "status_changed": "2026-07-01 02:33:18", "institution": "Universitas AMIKOM Yogyakarta", "thesis_name": "skripsi", "subjects": [ "000.000.000A", "000.000.005" ], "datestamp": "2026-07-01 02:33:18", "corp_creators": [ "Universitas AMIKOM Yogyakarta" ], "contributors": [ { "name": { "honourific": null, "family": "Ariyus", "lineage": null, "given": "Dony" } } ], "full_text_status": "restricted", "dir": "disk0\/00\/03\/18\/43", "divisions": [ "tk" ], "documents": [ { "placement": 1, "docid": 319878, "security": "public", "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319878", "language": "id", "files": [ { "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132449", "fileid": 1132449, "filesize": 2717834, "objectid": 319878, "hash": "e8ce925ae9edd373560d3a09bf69e6b3", "datasetid": "document", "mime_type": "application\/pdf", "mtime": "2026-07-01 02:24:36", "filename": "COVER.pdf", "hash_type": "MD5" } ], "content": "published", "formatdesc": "COVER-ABSTRAK", "pos": 1, "eprintid": 31843, "mime_type": "application\/pdf", "main": "COVER.pdf", "format": "text", "rev_number": 2 }, { "formatdesc": "BAB I", "content": "published", "main": "BAB I.pdf", "format": "text", "rev_number": 2, "mime_type": "application\/pdf", "eprintid": 31843, "pos": 2, "docid": 319879, "placement": 2, "language": "id", "files": [ { "filesize": 274489, "objectid": 319879, "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132451", "fileid": 1132451, "filename": "BAB I.pdf", "hash_type": "MD5", "hash": "a8e81b4843c46e7b42119b1badaa68b3", "datasetid": "document", "mtime": "2026-07-01 02:24:39", "mime_type": "application\/pdf" } ], "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319879", "security": "public" }, { "content": "published", "formatdesc": "BAB II", "mime_type": "application\/pdf", "eprintid": 31843, "pos": 3, "rev_number": 2, "main": "BAB II.pdf", "format": "text", "placement": 3, "docid": 319880, "security": "validuser", "files": [ { "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132453", "fileid": 1132453, "filesize": 854116, "objectid": 319880, "datasetid": "document", "hash": "75240d8d6c674bb246b684aab0e51711", "mtime": "2026-07-01 02:24:45", "mime_type": "application\/pdf", "hash_type": "MD5", "filename": "BAB II.pdf" } ], "language": "id", "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319880" }, { "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319881", "language": "id", "files": [ { "filesize": 528697, "objectid": 319881, "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132455", "fileid": 1132455, "filename": "BAB III.pdf", "hash_type": "MD5", "hash": "152987fd649eddf42fd4cf3ecd990fa0", "datasetid": "document", "mime_type": "application\/pdf", "mtime": "2026-07-01 02:24:47" } ], "security": "validuser", "docid": 319881, "placement": 4, "format": "text", "main": "BAB III.pdf", "rev_number": 2, "eprintid": 31843, "pos": 4, "mime_type": "application\/pdf", "formatdesc": "BAB III", "content": "published" }, { "security": "validuser", "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319882", "language": "id", "files": [ { "hash_type": "MD5", "filename": "BAB IV.pdf", "datasetid": "document", "hash": "269d264a008efb89822ffc82ec944f5b", "mtime": "2026-07-01 02:24:50", "mime_type": "application\/pdf", "filesize": 719302, "objectid": 319882, "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132457", "fileid": 1132457 } ], "placement": 5, "docid": 319882, "pos": 5, "eprintid": 31843, "mime_type": "application\/pdf", "format": "text", "main": "BAB IV.pdf", "rev_number": 2, "content": "published", "formatdesc": "BAB IV" }, { "eprintid": 31843, "pos": 6, "mime_type": "application\/pdf", "main": "BAB V.pdf", "rev_number": 3, "format": "text", "content": "published", "formatdesc": "BAB V", "security": "public", "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319883", "language": "id", "files": [ { "filename": "BAB V.pdf", "hash_type": "MD5", "hash": "ca335b2b97653020ef3856641fb81e87", "datasetid": "document", "mime_type": "application\/pdf", "mtime": "2026-07-01 02:24:52", "filesize": 77441, "objectid": 319883, "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132459", "fileid": 1132459 } ], "placement": 6, "docid": 319883 }, { "placement": 7, "docid": 319884, "security": "validuser", "language": "id", "files": [ { "filesize": 269145, "objectid": 319884, "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132461", "fileid": 1132461, "filename": "Daftar Pustaka dan Lampiran.pdf", "hash_type": "MD5", "hash": "32ab8f7ddd7ced78a0337702c058229e", "datasetid": "document", "mtime": "2026-07-01 02:24:56", "mime_type": "application\/pdf" } ], "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319884", "content": "published", "formatdesc": "DAFTAR PUSTAKA - LAMPIRAN", "mime_type": "application\/pdf", "eprintid": 31843, "pos": 7, "main": "Daftar Pustaka dan Lampiran.pdf", "format": "text", "rev_number": 2 }, { "security": "staffonly", "language": "id", "files": [ { "datasetid": "document", "hash": "e7932c4b8aab4147bd53fa27fb86e1a0", "mime_type": "application\/zip", "mtime": "2026-07-01 02:24:58", "hash_type": "MD5", "filename": "Sourcecode - 21.83.0719.zip", "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132463", "fileid": 1132463, "filesize": 105571, "objectid": 319885 } ], "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319885", "placement": 8, "docid": 319885, "mime_type": "application\/zip", "pos": 8, "eprintid": 31843, "format": "archive", "main": "Sourcecode - 21.83.0719.zip", "rev_number": 2, "content": "published", "formatdesc": "SOURCE CODE" }, { "placement": 9, "docid": 319886, "security": "staffonly", "language": "id", "files": [ { "fileid": 1132465, "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1132465", "objectid": 319886, "filesize": 1223701, "mtime": "2026-07-01 02:25:02", "mime_type": "application\/pdf", "hash": "fde873cc6000c75d95aaa984467f83c8", "datasetid": "document", "filename": "Publikasi.pdf", "hash_type": "MD5" } ], "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/319886", "content": "published", "formatdesc": "PUBLIKASI", "mime_type": "application\/pdf", "pos": 9, "eprintid": 31843, "format": "text", "main": "Publikasi.pdf", "rev_number": 2 } ], "abstract": "Pergerakan harga saham di pasar modal sering kali bersifat volatil dan dipengaruhi\r\noleh berbagai faktor ekonomi yang kompleks, sehingga menimbulkan\r\nketidakpastian bagi investor dalam mengambil keputusan investasi yang tepat.\r\nMasalah ini berdampak pada tingginya risiko kerugian finansial akibat prediksi\r\nyang tidak akurat dalam menghadapi fluktuasi pasar. Penelitian ini bertujuan untuk\r\nmengatasi tantangan tersebut dengan menerapkan dan mengoptimalkan model\r\nExtreme Gradient Boosting (XGBoost) dan Decision Tree dalam memprediksi\r\nharga saham, khususnya pada emiten PT Bank Rakyat Indonesia (Persero) Tbk\r\n(BBRI). Metode penelitian dilakukan melalui beberapa tahapan sistematis, meliputi\r\npengumpulan data historis saham, pembersihan format data (data cleaning),\r\npembentukan fitur Lag dan Moving Average, serta proses penalaan parameter\r\n(parameter tuning) untuk meningkatkan performa model. Hasil penelitian\r\nmenunjukkan bahwa model XGBoost memiliki keunggulan dibandingkan Decision\r\nTree dalam hal akurasi prediksi, terutama karena adanya fitur Regularized Boosting\r\nyang mampu meminimalkan overfitting. Analisis evaluasi menunjukkan stabilitas\r\nyang lebih baik pada model XGBoost dalam menangani data deret waktu (time\r\nseries) saham blue chip seperti BBRI. Hasil penelitian ini dapat dimanfaatkan oleh\r\npara investor, analis keuangan, dan praktisi pasar modal sebagai alat bantu\r\npengambilan keputusan strategis berbasis data untuk memitigasi risiko investasi.\r\nPenelitian selanjutnya direkomendasikan untuk mengeksplorasi metode Deep\r\nLearning guna menangkap pola data yang lebih kompleks.", "lastmod": "2026-07-01 02:33:18", "eprint_status": "archive", "ispublished": "pub", "rev_number": 16, "title": "ANALISIS PREDIKSI HARGA SAHAM DENGAN METODE\r\nMACHINE LEARNING DENGAN ALGORITMA DECISION\r\nTREE DAN XG BOOST", "thesis_type": "bachelor", "type": "thesis", "userid": 12, "uri": "http:\/\/eprints.amikom.ac.id\/id\/eprint\/31843", "date": "2026-03-03", "creators": [ { "nim": "21.83.0719", "name": { "lineage": null, "given": "Anggia Rahma", "family": "Tatyana", "honourific": null } } ], "date_type": "published", "metadata_visibility": "show", "department": "Fakultas Ilmu Komputer", "keywords": "Prediksi Saham, Machine Learning, Decision Tree, XGboost, BBRI, Stock Prediction." }