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Pengembangan DSS untuk menentukan metode pelatihan e-learning berbasis moodle bagi guru SMK Muslikhin Muslikhin; Eko Marpanaji
Jurnal Pendidikan Vokasi Vol. 3 No. 2 (2013)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.588 KB) | DOI: 10.21831/jpv.v3i2.1602

Abstract

Penelitian ini bertujuan menghasilkan desain DSS dan mengetahui kualitas DSS yang dipakai instruktur dalam menentukan metode pelatihan e-learning berbasis Moodle bagi guru SMK.Penelitian dan pengembangan ini melalui lima fase yaitu: asesmen/analisis, desain, pengembangan, implementasi dan evaluasi. Subyek penelitian adalah guru SMK di Kota Yogyakarta, Sleman dan Magelang 75 responden need assessment and analysis, 15 guru uji beta, 24 guru untuk evaluasi. Instrumen pengumpulan data berupa lembar kuesioner need assessment and analysis, lembar validasi ahli pelatihan, lembar uji alfa, lembar uji beta dan lembar evaluasi pelatihan.HasilpenelitianmenunjukkanDSS memberikan alternatif keputusan secara cepat melalui empat pertimbangan berdasarkan peserta, tujuan, keuntungan, dan level. Hasil uji alfa dan beta DSS menunjukkanskor 4,14dan 4,02 atau kategori "baik".SedangkanakurasiDSS melalui evaluasi terhadap 24 pesertapelatihane-learningmenunjukkan 88,14%akurat. DEVELOPING A DSSFOR DETERMINING THE METHOD OF MOODLE-BASEDE-LEARNINGTRAINING FOR VOCATIONAL HIGH SCHOOL TEACHERSAbstractThis study aims to produce the DSS design and knowing the quality of the DSS is used in determining instructor training method based on Moodle e-learning for Vocational High School teachers. This study was a research and development conducted in five steps, i.e. need assessment/analysis, design, development, implementation and evaluation. The subject was teachers of SMK at Yogyakarta City, Sleman and Magelang, there were 75 respondents for needs assessment and analysis 15 teachers for beta testing, 24 teachers for evaluation. The instruments of the data collection were validation sheets for the needs assessment and analysis, alpha test sheets, beta test sheets and training evaluation sheets.The result of the study shows the following: the DSSprovides an alternativerapiddecisionsthroughfourconsiderationsbased on: participants, objectives, benefits, andlevel.The Alpha test and Beta test results show a mean score of 3.92 and 4.02 or the DSS is in the "good" category. While, the accuracy of the DSS through an evaluation of 24 participants of the e-learning training shows 88,14% accuracy.
Kontribusi laboratorium komputer, internet dan motivasi berprestasi terhadap hasil belajar siswa RPL se-Kabupaten Bantul Slamet Pujiono; Eko Marpanaji
Jurnal Pendidikan Vokasi Vol. 4 No. 1 (2014)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (732.797 KB) | DOI: 10.21831/jpv.v4i1.2536

Abstract

Tujuan penelitian ini adalah: (1) mengetahui kontribusi manajemen operasi laboratorium, (2) pemanfaatan internet, dan (3) motivasi berprestasi terhadap hasil belajar siswa jurusan RPL seKabupaten Bantul. Metode pengumpulan data menggunakan tes dan kuesioner. Statistik inferensial digunakan dengan metode analisis deskriptif dan analisis regresi. Hasil penelitian menunjukkan bahwa (1) manajemen operasi laboratorium komputer cenderung pada kategori sangat baik; (2) Pemanfaatan internet cenderung pada kategori buruk; (3) motivasi berprestasi cenderung pada kategori baik; (4) hasil belajar cenderung pada kategori cukup. Pengujian hipotesis menunjukkan bahwa (1) terdapat kontribusi positif dan signifikan antara manajemen operasi laboratorium komputer dengan hasil belajar siswa; (2) terdapat kontribusi positif dan signifikan antara pemanfaatan internet dengan hasil belajar siswa; (3) terdapat kontribusi positif dan signifikan antara motivasi berprestasi dengan hasil belajar siswa; (4) terdapat kontribusi positif dan signifikan antara manajemen operasi laboratorium komputer, pemanfaatan internet dan motivasi berprestasi dengan hasil belajar siswa SMK jurusan RPL se-Kabupaten Bantul. THE CONTRIBUTIONS OF COMPUTER LABORATORY, THE INTERNET AND ACHIEVEMENT MOTIVATION TO STUDENT'S ACHIEVEMENT OF SOFTWARE ENGINEERING DEPARTMENT IN THE DISTRICT OF BANTULAbstractThis research is aimed to: (1) find out the contribution of laboratory operation management, (2) the use of internet, and (3) the achievement motivation on the students learning outcomes in Software Engineering in Bantul district. Questionnaire and test was used to explore the data. Inferential statistic was used with the descriptive analyse and multiple linier regression analayse. to test the validity and reliability of the research instruments. The results obtained are as follows: (1) The score of the computer lab operation management is at a very good category. (2) The score of the use of the internet is at poor category. (3) Achievement motivation scores obtain good category. (4) The score of the variables of outcome studied at fairl category. Hypothesis testing shows the following result: (1) There is a positive and significant contribution of the operations labs computer management to student learning outcomes; (2) There is a positive and significant contribution of the use of the internet to student learning outcomes; (3) There is a positive and significant contribution of the achievement motivation to student learning outcomes; (4) There is a positive and significant contribution of the operation management of computer laboratory, internet utilization and achievement motivation to student learning outcomes of vocational students majoring in Software Engineering in Bantul district.
Pengembangan multimedia pembelajaran praktik individu instrumen pokok dasar siswa SMK di bidang keahlian karawitan Ismalik Perwira Admadja; Eko Marpanaji
Jurnal Pendidikan Vokasi Vol. 6 No. 2 (2016)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3398.141 KB) | DOI: 10.21831/jpv.v6i2.8107

Abstract

Penelitian ini bertujuan untuk: (1) menghasilkan multimedia pembelajaran pada mata pelajaran praktik individu instrumen pokok dasar, (2) mengetahui kelayakan multimedia pembelajaran pada mata pelajaran praktik individu instrumen pokok dasar, dan (3) mengetahui peningkatan hasil belajar siswa menggunakan multimedia pembelajaran pada mata pelajaran praktik individu instrumen pokok dasar. Metode penelitian yang digunakan adalah metode penelitian dan pengembangan dengan desain model pengembangan Stephen M. Alessi dan Stanley R. Trollip. Langkah-langkah pengembangannya yaitu: (1) perencanaan; (2) desain; dan (3) pengembangan. Teknik analisis data untuk uji coba produk menggunakan statistik deskriptif. Hasil penelitian menunjukkan bahwa: (1) ditinjau dari aspek media dinilai "Sangat Baik" dengan skor 4,27 oleh ahli media;(2) ditinjau dari aspek materi dinilai "Sangat Baik" dengan skor 4,47 oleh ahli materi; (3) ditinjau dari aspek penggunaan dinilai "Sangat Baik" dengan skor 4,23 oleh siswa; (4) peningkatan hasil belajar siswa menunjukkan kenaikan rerata skor siswa kelas yang menggunakan multimedia sebesar 31,53 sedangkan kelas yang tidak menggunakan multimedia meningkat sebesar 20,11. Kata kunci: pengembangan, pembelajaran, multimedia pembelajaran, kelayakan. DEVELOPING LEARNING MULTIMEDIA OF INDIVIDUAL PRACTICE IN FUNDAMENTAL MUSIC INSTRUMENT FOR SMK STUDENTS IN THE EXPERTISE OF KARAWITAN Abstract The purposes of this research were: (1) to produce multimedia learning on the subject of individual practice in fundamental music instrument; (2) to determine the appropriateness of the learning multimedia in the subject of individual practice in fundamental music instrument; and (3) to determine the improvement in the students' learning outcomes from the use of multimedia in teaching the subject of individual practice in fundamental music instrument.This research was a research and development, with the development model design by Alessi and Trollip. The development stages were as follows: (1) planning; (2) design; and (3) development. The data of the try-out of the product was analyzed using descriptive statistics. The results showed that: (1) the media aspects were rated "very good" with a score of 4.27 by the media expert; (2) the material aspects were rated "very good" with a score of 4.47 by the materials expert; (3) the aspects of using product were rated "very good" with a score of 4.23 by the students; (4)the improvement of the students' learning outcomes in the class using the multimedia showed a mean score increase of 31.53 which was greater than that of the nonmultimedia class which was only 20.11. Keywords: development, learning, learning multimedia, appropriateness
EX POST FACTO ANALYSIS OF VOCATIONAL TEACHERS' CREATIVITY DEFICITS USING PAVLOVA'S TAXONOMY IN YOGYAKARTA Taufik Mus; Izzul Kiram Suardi; Eko Marpanaji
Jurnal Suluh Pendidikan Vol 14 No 1 (2026): Maret 2026
Publisher : Universitas HKBP Nommensen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36655/jsp.v14i1.2436

Abstract

The transformation of vocational education necessitates that educators possess adaptive digital skills. The objective of this study is to delineate the digital technology competency profile of vocational high school teachers in Yogyakarta City, employing Pavlova's (2009) taxonomy as a framework. Additionally, the study seeks to examine the correlation between this profile and the teachers' years of experience in the field. The present study employed a quantitative ex post facto design, and the sample comprised 284 teachers from 25 public and private schools. These teachers were selected through proportional random sampling. The data were collected using a validated questionnaire and analyzed using descriptive statistics and Spearman's rank correlation. The results of the mapping process indicated a clear distinction in the degree of mastery of competencies. Technological Awareness demonstrated the highest level of achievement in the "very good" category, with a mean score of 21.13. In contrast, Technological Creativity exhibited the lowest level of achievement, remaining in the "fair" category with a mean score of 29.93. Inferential testing demonstrated a strong, significant positive correlation between length of service and overall digital competence (r = 0.713; p < 0.001). The prevailing tendency among teachers to adopt a passive stance toward technology use is evident, although teaching experience has been shown to positively influence the maturity of technological adaptation. These findings suggest a shift in training interventions toward project-based approaches, alongside the establishment of strategic peer-mentorship programs that empower senior teachers.
Pengembangan Sistem Penyediaan VM Menggunakan Terraform sebagai Alat Praktik PAAS di SMK Negeri 2 Yogyakarta Afnan Ngathour Rahman; Eko Marpanaji
Journal of Information Technology and Education (JITED) Vol. 3 No. 2 (2025): September 2025
Publisher : Department of Electronics and Informatics Engineering Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jited.v3i2.2507

Abstract

Penelitian ini bertujuan mengembangkan sistem penyediaan Virtual Machine (VM) menggunakan Terraform sebagai alat praktik Platform as a Service (PaaS) di SMK Negeri 2 Yogyakarta. Tujuan utama adalah memanfaatkan private cloud milik sekolah secara maksimal untuk meningkatkan pengalaman praktikum siswa. Sistem ini diterapkan pada infrastruktur Proxmox VE Cluster dengan empat node server. Metode penelitian menggunakan model Network Development Life Cycle (NDLC) yang terdiri dari tahap analysis, design, simulation prototyping, implementation, monitoring, dan management. Pengumpulan data dilakukan melalui observasi, wawancara, dan pengujian langsung di SMK Negeri 2 Yogyakarta. Subjek penelitian mencakup dua ahli infrastruktur cloud dan satu guru PaaS sebagai pengguna akhir. Teknik analisis data melibatkan analisis deskriptif dan uji standar ISO/IEC 25010 untuk aspek functional suitability, usability, dan maintainability.Hasil penelitian menunjukkan bahwa sistem penyediaan VM menggunakan Terraform dapat meningkatkan efisiensi dan efektivitas pengelolaan infrastruktur cloud di sekolah. Pengujian aspek functional suitability menunjukkan persentase keberhasilan 100%, sementara aspek usability mendapatkan skor 84,17 (A) berdasarkan System Usability Scale (SUS). Pengujian maintainability juga mendapatkan nilai 100%, menunjukkan bahwa sistem ini mudah dikelola dan dikembangkan.
Pengembangan Website Company Profile PT. Stechoq Robotika Indonesia Rohsyam Sidik; Eko Marpanaji
Journal of Information Technology and Education (JITED) Vol. 3 No. 2 (2025): September 2025
Publisher : Department of Electronics and Informatics Engineering Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jited.v3i2.2514

Abstract

Penelitian ini bertujuan untuk mengembangkan website company profile PT. Stechoq Robotika Indonesia guna meningkatkan kualitas informasi, tampilan visual, dan fungsionalitas fitur. Dengan menggunakan metode Research and Development (R&D) dan pendekatan Waterfall, tahapan yang dilakukan meliputi analisis kebutuhan, desain sistem, implementasi, dan pengujian. Data dikumpulkan melalui wawancara dan observasi langsung. Pengujian kualitas website dilakukan berdasarkan standar ISO 25010, mencakup aspek functional suitability, compatibility, dan usability. Hasil penelitian menunjukkan peningkatan kualitas informasi, visual yang lebih menarik, dan fitur yang lebih interaktif. Simpulan penelitian ini menyatakan bahwa website yang dikembangkan dapat mendukung reputasi dan daya saing perusahaan di industri teknologi. Implikasi dari penelitian ini adalah pentingnya pembaruan konten dan optimalisasi fitur secara berkala.
Analysis of Machine Learning Models Based on Predictive Performance, Energy Consumption, and Carbon Emissions Willy Permana Putra; Eko Marpanaji; Septafiansyah Dwi Putra
Journal of Applied Data Sciences Vol 7, No 3: September 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i3.1482

Abstract

This study aims to evaluate intrusion detection models by jointly considering predictive performance and computational sustainability. The main problem addressed is that many intrusion detection studies emphasize classification accuracy while providing limited evidence about execution time, energy use, and carbon dioxide-equivalent emissions, even though these factors affect repeated training and practical deployment. The contribution of this work is a comparative assessment of four supervised learning models, Random Forest, Histogram-based Gradient Boosting, Support Vector Machine, and Extreme Gradient Boosting, under a unified experimental workflow. The methodology uses the Wednesday working-hours subset of the Canadian Institute for Cybersecurity intrusion detection dataset released in 2017, which contains benign traffic and several denial-of-service attack classes. The procedure includes dataset selection, data cleaning, preprocessing, stratified training and testing, model fitting, predictive evaluation, sustainability measurement, and comparative interpretation. The evaluation is supported by one workflow figure, tables describing predictive results and sustainability measurements, and comparative visualizations of classification and resource-efficiency outcomes. The results show that Extreme Gradient Boosting achieved the strongest overall classification performance, with an accuracy of 0.9994, macro recall of 0.9966, macro F1-score of 0.9956, macro precision of 0.9946, and one-versus-rest area under the curve of 0.9999, while requiring 0.002559 kilowatt-hours of energy and 11.83 seconds of execution time. Random Forest produced highly comparable predictive results with similarly low resource consumption. Histogram-based Gradient Boosting was the most efficient model in terms of time, energy use, and emissions, but its macro-level performance was substantially lower. Support Vector Machine produced acceptable predictive results but required substantially higher computational resources. These findings imply that sustainable intrusion detection should select models through a balanced evaluation of detection capability and computational cost rather than accuracy alone.