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All Journal Jurnal Manajemen Pendidikan Jurnal Sistim Informasi dan Teknologi Education Achievement: Journal of Science and Research
Elda, Yusma
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Computer Science & IT Education Other

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Akurasi Klasifikasi Pengguna terhadap Hotspot WiFi dengan Menggunakan Metode K-Nearest Neighbour Syaljumairi, Raemon; Defit, Sarjon; Sumijan, S; Elda, Yusma
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i3.152

Abstract

The Current wireless technology is used to find out where the user is in the room. Utilization of WiFi strength signal from the Access Point (AP) can provide information on the user position in a room. Alternative determination of the user's position in the room using WiFi Receive Signal Strength (RSS). This research was conducted by comparing the distance between users to 2 or more APs using the euclidean distance technique. The Euclidean distance technique is used as a distance calculator where there are two points in a 3-dimensional plane or space by measuring the length of the segment connecting two points. This technique is best for representing the distance between the users and the AP. The collection of RSS data uses the Fingerprinting technique. The RSS data was collected from 20 APs detected using the wifi analyzer application, from the results of the scanning, 709 RSS data were obtained. The RSS value is used as training data. K-Nearest Neighbor (K-NN) uses the Neighborhood Classification as the predictive value of the new test data so that K-NN can classify the closest distance from the new test data to the value of the existing training data. Based on the test results obtained an accuracy rate of 95% with K is 3. Based on the results of research that has been done that using the K-NN method obtained excellent results, with the highest accuracy rate of 95% with a minimum error value of 5%.
Model Kepemimpinan Pendidikan Kewirausahaan di SMK: Integrasi Pembelajaran Berbasis Industri dan Teaching Factory dalam Membangun Ekosistem Wirausaha Sekolah Fransiska, Yulia; Elda, Yusma; Sadat, Anwar; Giatman, Giatman; Sukardi, Sukardi
Education Achievement: Journal of Science and Research Volume 6 Issue 3 November 2025
Publisher : Pusdikra-Publishing.com

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/jsr.v6i3.3165

Abstract

Penelitian ini bertujuan menganalisis model kepemimpinan pendidikan kewirausahaan di Sekolah Menengah Kejuruan (SMK) dalam mengintegrasikan pembelajaran berbasis industri dan Teaching Factory untuk membangun ekosistem wirausaha sekolah yang berkelanjutan. Metode penelitian menggunakan pendekatan kualitatif dengan desain deskriptif-eksploratif. Data dikumpulkan melalui studi pustaka pada jurnal bereputasi dan buku akademik, wawancara mendalam dengan kepala sekolah, guru kewirausahaan, guru produktif, serta mitra dunia usaha dan dunia industri, serta observasi terhadap praktik pembelajaran dan aktivitas Teaching Factory di SMK. Analisis data dilakukan secara tematik melalui tahapan reduksi, pengodean, dan penarikan kesimpulan dengan validitas data dijamin melalui triangulasi. Hasil penelitian menunjukkan bahwa kepemimpinan transformasional kepala sekolah berperan sentral dalam mensinergikan pembelajaran berbasis industri dan Teaching Factory serta menumbuhkan budaya inovasi sekolah. Integrasi tersebut berdampak pada penguatan kompetensi kewirausahaan, kemandirian murid, dan peningkatan relevansi lulusan dengan kebutuhan pasar kerja. Simpulan penelitian bahwa keberhasilan pendidikan kewirausahaan SMK memerlukan kepemimpinan visioner dan kolaboratif sebagai penggerak utama ekosistem wirausaha sekolah.
MODEL PEMBELAJARAN BLENDED/HYBRID UNTUK MENINGKATKAN KETERAMPILAN PRAKTIK DI TVET: STUDI LITERATUR SISTEMATIS Hirval, Hirval; Elda, Yusma; Marwan, Sovandi; Jalinus, Nizwardi; Anwar, Muhammad
Jurnal Manajemen Pendidikan Vol. 10 No. 4 (2025): Regular Issue (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jmp.v10i4.1528

Abstract

Objective: Technical and Vocational Education and Training (TVET) plays a crucial role in developing practical skills aligned with industry needs. However, practical learning in TVET often faces challenges such as limited facilities, high operational costs, and a gap between curricula and workplace standards. In the context of digital transformation, blended and hybrid learning models have emerged as innovative solutions that integrate online and face-to-face instruction to strengthen practical skill acquisition. This study systematically synthesizes the application of blended/hybrid learning models in TVET, focusing on identifying the models used, their impact on practical skills, and key implementation factors. Following the PRISMA framework, the review analyzes literature from Scopus, Web of Science, ERIC, and Google Scholar published between 2014 and 2024. Findings show that models such as flipped classroom, rotation model, and enriched virtual model have been variably implemented across global TVET institutions. Blended/hybrid learning has proven effective in enhancing learners’ practical skills—including procedural accuracy, work quality, and workplace safety—provided it is supported by well-structured pedagogical design, adequate digital infrastructure, educator readiness, and strong industry partnerships.
Co-Authors Anwar Sadat Fransiska, Yulia Hirval, Hirval Marwan, Sovandi Muhammad Anwar Nizwardi Jalinus Sarjon Defit Sukardi Sukardi Sumijan, S Syaljumairi, Raemon