Pengembangan Dashboard Analitik dan Prediktif Berbasis Looker Studio untuk Mendukung Data Driven Decision Making Melalui Pemanfaatan Model Time series KNIME (Studi Kasus: PT. Comtelindo) - Submit Jurnal

Ading, Muhammad (2026) Pengembangan Dashboard Analitik dan Prediktif Berbasis Looker Studio untuk Mendukung Data Driven Decision Making Melalui Pemanfaatan Model Time series KNIME (Studi Kasus: PT. Comtelindo) - Submit Jurnal. Bachelor thesis, Institut Teknologi Kalimantan.

	Text 20221060_cover.pdf Download (578kB)
	Text 20221060_statement_of_authenticity.pdf Download (626kB)
	Text 20221060_publishing_agreement.pdf Download (729kB)
	Text 20221060_approval_sheet.pdf Download (101kB)
	Text 20221060_preface.pdf Download (771kB)
	Text 20221060_abstract_id.pdf Download (782kB)
	Text 20221060_abstract_en.pdf Restricted to Repository staff only until 2028. Download (674kB) | Request a copy
	Text 20221060_table_of_content.pdf Restricted to Repository staff only until 2028. Download (1MB) | Request a copy
	Text 20221060_illustrations.pdf Restricted to Repository staff only until 2028. Download (847kB) | Request a copy
	Text 20221060_tables.pdf Restricted to Repository staff only until 2028. Download (1MB) | Request a copy
	Text 20221060_notations.pdf Restricted to Repository staff only until 2028. Download (1MB) | Request a copy
	Text 20221060_chapter_1.pdf Restricted to Repository staff only until 2028. Download (3MB) | Request a copy
	Text 20221060_chapter_2.pdf Restricted to Repository staff only until 2028. Download (6MB) | Request a copy
	Text 20221060_chapter_3.pdf Restricted to Repository staff only until 2028. Download (8MB) | Request a copy
	Text 20221060_chapter_4.pdf Restricted to Repository staff only until 2028. Download (1MB) | Request a copy
	Text 20221060_conclusions.pdf Restricted to Repository staff only until 2028. Download (1MB) | Request a copy
	Text 20221060_bibliography.pdf Download (2MB)
	Text 20221060_enclosure.pdf Restricted to Repository staff only until 2028. Download (1MB) | Request a copy
	Text 20221060_paper.pdf Restricted to Repository staff only until 2028. Download (648kB) | Request a copy
	Text 20221060_presentation.pdf Restricted to Repository staff only until 2028. Download (2MB) | Request a copy
	Text 20221060_Form. TA-020.pdf Restricted to Repository staff only until 2028. Download (50kB) | Request a copy

Abstract

PT. Comtelindo sebagai penyedia layanan internet rumahan Intynet telah memanfaatkan Dashboard operasional, namun masih terbatas pada data historis tanpa dukungan eksplorasi dinamis maupun kemampuan prediktif. Penelitian ini bertujuan merancang dan mengembangkan Dashboard analitik dan prediktif berbasis Looker Studio untuk mendukung Data Driven Decision Making (DDDM) di PT. Comtelindo menggunakan pendekatan Design Science Research Methodology (DSRM). Kebutuhan sistem diidentifikasi melalui wawancara mendalam dengan Thematic Analysis dan asesmen DECAS. Pengembangan Dashboard mengintegrasikan data operasional Intynet melalui proses ETL menggunakan KNIME dan penyimpanan MySQL, kemudian divisualisasikan di Looker Studio. Model peramalan dibangun dengan membandingkan metode ARIMA dan Holt’s Linear Trend, menghasilkan ARIMA(0,2,1) sebagai model terbaik prediksi jumlah pelanggan baru (MAPE 13,63%) dan ARIMA(1,1,0) untuk prediksi tiket layanan (MAPE 9,40%). Dashboard yang dihasilkan menyajikan visualisasi KPI secara interaktif pada tiga domain utama retail/sales, finance, dan Ticketing dilengkapi filter dinamis, drill-down, dan tampilan hasil prediksi. Evaluasi melalui User Acceptance Testing (UAT) dan System Usability Scale (SUS) memperoleh skor rata-rata 90,83 (kategori Excellent, Grade A), membuktikan bahwa Dashboard layak dan efektif mendukung pengambilan keputusan berbasis data di PT. Comtelindo.

Item Type:	Thesis (Bachelor)
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Jurusan Matematika dan Teknologi Informasi > Bisnis Digital
Depositing User:	Muhammad Ading
Date Deposited:	15 Jul 2026 06:47
Last Modified:	15 Jul 2026 06:47
URI:	http://repository.itk.ac.id/id/eprint/27294

Actions (login required)

View Item