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All Journal Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Muhammad Azka Latif
Universitas Muria Kudus
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering

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Prediksi Total Penjualan Gorden Berdasarkan Data Historis Bulanan Menggunakan Random Forest Regressor Aliya Aszava; Aulia Happy Salma; Muhammad Azka Latif; Muhammad Fajar Maulana; Muhammad Arifin
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.292

Abstract

Penelitian ini bertujuan memprediksi total item penjualan gorden bulanan di Azka Gorden menggunakan Random Forest Regressor berbasis data historis. Penelitian menerapkan pendekatan kuantitatif dengan tahapan data mining yang meliputi pengumpulan data, preprocessing, transformasi data, feature engineering time series, pemodelan, dan evaluasi. Dataset awal terdiri atas 63 observasi bulanan dari Januari 2021 sampai Maret 2026. Setelah pembentukan fitur temporal, musiman, lag, dan moving average, diperoleh 51 observasi yang siap dimodelkan dan dibagi secara kronologis menjadi data latih, validasi, dan uji. Kinerja model dievaluasi menggunakan RMSE, MAPE, MAE, dan R². Hasil penelitian menunjukkan nilai R² sebesar 98,56% pada data latih, 94,87% pada data validasi, dan 98,18% pada data uji, dengan kesalahan prediksi yang rendah. Hasil ini menunjukkan model efektif untuk mendukung prediksi penjualan dan perencanaan stok yang lebih tepat.
Evaluasi Usability iCloud Drive sebagai Layanan Cloud Storage pada Mahasiswa Menggunakan System Usability Scale Muhammad Azka Latif; Noor Latifah
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 12 No. 3 (2026): Desember 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v12i3.21516

Abstract

Evaluating students’ experiences is necessary to understand the ease of managing documents through iCloud Drive. This study evaluated iCloud Drive usability from students’ perspectives to inform recommendations for user guidance. A descriptive quantitative approach was employed through a cross-sectional survey of 50 students with prior iCloud Drive experience. Data were collected through Google Forms using nonprobability sampling with voluntary participation. The instrument comprised ten System Usability Scale (SUS) items rated on a five-point scale. Descriptive statistics and internal consistency analysis were applied. The mean SUS score was 52.85, with a median of 52.50, a sample standard deviation of 17.98, and scores ranging from 15.00 to 85.00. The mean was below the general benchmark of 68, with 39 participants (78%) scoring below this value. Cronbach’s alpha was 0.824 after reverse scoring. Items addressing complexity and inconsistency had the lowest mean contributions. These findings highlight the need to improve the user experience within the investigated group. The study provides a contextual usability assessment to inform user guidance and further task-based testing to identify specific interaction difficulties.
Co-Authors Aliya Aszava Aulia Happy Salma Maulana Fajar Muhammad Arifin Noor Latifah