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All Journal Journal of Information Technology and Computer Science (JOINTECS) SENTIA 2017 Prosiding Seminar Nasional Sains dan Teknologi Terapan Systemic: Information System and Informatics Journal IJEEIT : International Journal of Electrical Engineering and Information Technology Jurnal Studi Guru dan Pembelajaran JATI (Jurnal Mahasiswa Teknik Informatika) MOTORIC e-NARODROID Jurnal Sistem Informasi dan Sistem Komputer Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Journal Computer Science and Informatic Systems : J-Cosys KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Internet of Things and Artificial Intelligence Journal Insand Comtech : Information Science and Computer Technology Journal COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi
Natalia Damastuti
Department Of Information System, Narotama University, Surabaya, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Transportation Other

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PERSEPSI DAN KESIAPAN GURU SEKOLAH DASAR DALAM MENGIMPLEMENTASIKAN COMPUTATIONAL THINKING PADA KURIKULUM MERDEKA: STUDI MIXED METHODS DI KABUPATEN [X] Lukman Junaedi; Achmad Zakki Falani; Natalia Damastuti; Latipah Latipah; Muchamad Arif
MOTORIC Vol 10 No 1 (2026): Volume 10 No 1 Juni 2026
Publisher : Universitas Narotama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the level of perception and readiness of Elementary School (SD) teachers in implementing Computational Thinking (CT) within the Merdeka Curriculum. Although CT has been integrated into the national curriculum, empirical data on the specific readiness of SD teachers in the Merdeka Curriculum era remains very limited. This study employed a mixed methods approach with a sequential explanatory design. Quantitative data were collected through a survey of 120 SD teachers using the CT-Teacher Readiness Scale (40 items, ? = 0.91) developed and validated in this study, followed by in-depth interviews with 12 purposively selected teachers. Results indicated that most teachers (65.8%) were in the unprepared to underprepared category for CT implementation, with an overall mean score of 54.3% (SD = 10.9). Technology readiness (M = 44.1%) was the lowest dimension, while motivation and attitude (M = 68.9%) was the highest. Spearman correlation analysis revealed that CT training (r = 0.512, p < 0.001) and technology access (r = 0.443, p < 0.001) were significant predictors of teacher readiness, while years of service correlated negatively (r = -0.387, p < 0.001). Qualitative findings revealed three main themes: (1) unclear guidelines for CT implementation in Merdeka Curriculum teaching modules, (2) limited availability and quality of CT training, and (3) significant digital divide between young and senior teachers. This study contributes a validated CT-Teacher Readiness Scale instrument and an evidence-based teacher readiness profile that can serve as a policy foundation for CT teacher training at the SD level. Keywords: Computational Thinking, Teacher Readiness, Merdeka Curriculum, Elementary School, Mixed Methods, CT-Teacher Readiness Scale
Implementation of Business Intelligence for Performance Evaluation of a Professional Certification Institution Using Microsoft Power BI Irsyadulloh Ramadhan Bagus Nuryono; Eman Setiawan; Natalia Damastuti
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 7, No 1 (2026): Sustainable Information Technology Innovation Supports a Digital-Based Smart Eco
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v7i1.15179

Abstract

The Cipta Unggul Human Resource Management Professional Certification Body (LSP) faces challenges in its organizational performance evaluation process because operational certification data is still stored in various separate spreadsheet files that have not been optimally integrated. This situation results in manual report preparation, which is time-consuming, prone to data processing errors, and makes it difficult for management to monitor performance achievements quickly and accurately. This study aims to design a Business Intelligence system to evaluate the institution’s performance using Microsoft Power BI. The research method employed is Design Science Research with a qualitative descriptive approach. The research stages included identifying information needs, collecting data for the 2023–2024 operational period, designing a Data Warehouse using the Star Schema model, performing the Extract, Transform, Load (ETL) process, and developing a dashboard based on key performance indicators (KPIs) aligned with the Balanced Scorecard. The research results show that the designed system is capable of integrating previously fragmented data into a single, concise information source, accelerating the reporting process, improving information accuracy, and facilitating interactive monitoring of performance indicators.
Prediksi Kebutuhan Barang dengan Metode Moving Average pada Sistem Informasi Persediaan Fauzi Ramadhani; Latipah Latipah; Agung Widodo; Natalia Damastuti
KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Vol 6, No 2 (2025)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.kernel.2025.v6i2.7991

Abstract

Dalam persaingan bisnis yang ketat, informasi teknologi penting untuk efisiensi operasional. Sistem informasi manajemen persediaan membantu mengatur stok dan mendukung keputusan berdasarkan data. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem manajemen informasi persediaan barang di TB. Sony Baja dengan metode peramalan moving average guna meningkatkan efisiensi, efektivitas, dan keteraturan pengelolaan stok, serta mendukung keberlangsungan bisnis perusahaan. Penelitian ini menerapkan pendekatan kuantitatif dengan teknik pengumpulan data berupa wawancara, observasi, dan studi Pustaka. Data penjualan selama sembilan bulan terakhir dimanfaatkan sebagai dasar dalam proses peramalan. Pengembangan sistem menggunakan metode air terjun dengan pemodelan UML, serta dibangun dengan bahasa pemrograman PHP dan basis data MySQL. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu mengelola stok secara real-time , memprediksi kebutuhan barang, dan menghasilkan laporan yang akurat. Penerapan metode moving average memberikan hasil peramalan yang cukup akurat, seperti pada produk C75 (0,75) dengan nilai MAD sebesar 4,3125, MSE sebesar 21,15625, dan MAPE sebesar 3,548302363. Nilai-nilai tersebut mencerminkan tingkat akurasi yang tinggi dan mendukung pengambilan keputusan yang lebih tepat dalam pengadaan barang. Secara keseluruhan, sistem ini berhasil meningkatkan efisiensi, efektivitas, dan akurasi dalam manajemen persediaan di TB. Sony Baja.
Co-Authors Achmad Zakki Falani Agung Widodo Agung Widodo Arif Abriyanto Arumsari, Andini Dwi Awalludiyah Ambarwati Baharudin Pratama Cahyo Darujati Diego Armando Pratama Putra Fauzi Ramadhani Febriansyah, Muhammad Adam Irsyadulloh Ramadhan Bagus Nuryono Junaedi, Lukman Lasarus Setyo Pamungkas Latipah Latipah Muchamad Arif Muchamad Arif, Muchamad Prakoso, Bagus Ridho Pratama Ryan Harnanda Rahmat Hidayat Rendi Kusuma, Hafiz Ridzki Okta Pratikto Ronny Durrotun Nasihien, Ronny Durrotun Setiawan, Eman Sulikan Sulikan Tresna Maulana Fahrudin Tresna Maulana Fahrudin virdaus, varia virdania Yoesril Ihza Mahendra Zakki, Achmad