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Effect of Temperature and Pressure on the Density of Organic Waste Briquettes Riky Satria; Yolli Fernanda; Refdinal Refdinal; Sri Rizki Putri Primandari
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 5 No 3 (2023): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v5i3.246

Abstract

Organic waste is one way of utilizing biomass to produce energy. The advantage of biomass is that it tends to be renewable. The energy from biomass that will be used to make briquettes is processed and compressed into a more regular form with a high calorific value. This research will involve organic waste as a source of biomass. To obtain briquettes that are dense, tight, and in good condition, tests were conducted with various temperature and pressure settings. Organic waste with particle size between 18 and 30 mesh is used in this method. Briquetting using heat-treated molds, with temperatures of 200, 250 and 300 °C with a holding time of 5 minutes and also applying pressures of 5 MPa, 10 MPa, 15 MPa and 20 MPa. At 300 °C, 10 and 20 MPa pressure, the briquettes were dense, tight and had high density values. Sampah organik merupakan salah satu cara pemanfaatan biomassa untuk menghasilkan energi. Keuntungan dari biomassa adalah bahwa hal itu cenderung diperbaharui. Energi dari biomassa yang akan digunakan untuk membuat briket diolah dan dikompresi menjadi bentuk yang lebih teratur dengan nilai kalor yang tinggi. Penelitian ini akan melibatkan limbah sampah organik sebagai sumber biomassa. Untuk mendapatkan briket yang padat, rapat, dan dalam kondisi baik, dilakukan pengujian dengan berbagai pengaturan suhu dan tekanan. Sampah organik dengan ukuran partikel antara 18 dan 30 mesh digunakan dalam metode ini. Pembriketan menggunakan cetakan yang diberi panas, dengan suhu 200, 250 dan 300 ℃ dengan waktu penahanan 5 menit dan juga pemberian tekanan 5 MPa, 10 MPa, 15 MPa dan 20 MPa. Pada suhu 300 °C, tekanan 10 dan 20 MPa dihasilkan briket yang padat, rapat dan memiliki nilai densitas yang tinggi.
Pendidikan Vokasional Dalam Perspektif Filosofi Pragmatisme Hamdani Hamdani; Nizwardi Jalinus; Refdinal Refdinal; Fadhli Ranuharja
Jurnal Pendidikan Teknologi Informasi dan Vokasional Vol 5, No 2 (2023): Jurnal Pendidikan Teknologi Informasi dan Vokasional
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/29278

Abstract

With regard to vocational education, philosophy is the field that studies human life and thought. This study aims to explain how pragmatic philosophy analyzes vocational education, that is, education that focuses on work-ready outcomes. In this situation, pragmatic philosophy is considered a relevant theoretical foundation for guiding curriculum development and learning approaches in vocational education. The data collected in this study is collected through literary studies or research institutions of libraries. Literature sources come from journals on google scholar and scopus. There's a total of 150 relevant papers that are used to describe this penalty. After data collection, analysis and conclusions are made to produce a useful summary. The research discussed in this article shows that the philosophy of pragmatism provides a strong foundation for building vocational education that is responsive to the needs of the world of work.Kata kunci: Pragmatisme, Vokasi, Pendidikan
Effect of Using a Solar Can Heater Collector on the Temperature of a Room at Several External Temperature Variations Willy Vernando; Andre Kurniawan; Refdinal Refdinal; Yolli Fernanda
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 5 No 3 (2023): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v5i3.281

Abstract

This research discusses a heating collector device which functions to warm a room that has a relatively cold temperature so as to create thermal comfort. Thermal comfort greatly influences human performance in activities in a room so that effective performance in a room can be achieved. This collector functions to collect solar heat and increase the temperature of the sun's heat which will then be channeled into a closed room. This collector is in the form of a box measuring 750x450 mm. This collector consists of cans arranged vertically which are useful as a medium for capturing heat and increasing solar heat. The measurement results show that the room heater can warm a cold room at a temperature of 22.4⁰C to 28.2⁰C. and the air heating capacity obtained is 0.24 kJ to 4.58 kJ. Penelitian ini membahas tentang alat kolektor pemanas yang berfungsi untuk menghangatkan ruangan yang memiliki suhu relatif dingin sehingga terciptanya kenyamanan termal. Kenyamanan termal sangat berpengaruh terhadap kinerja manusia dalam beraktifitas di dalam suatu ruangan sehingga dapat tercapai efektifitas kinerja di dalam suatu ruangan. Kolektor ini berfungsi mengumpulkan panas matahari serta memperbesar suhu dari panas matahari yang nantinya akan di alirkan ke suatu ruangan yang tertutup. Kolektor ini berbentuk boks yang berukuran 750x450 mm,kolektor ini terdiri dari kaleng yang disusun secara vertical yang berguna untuk media penangkap panas dan memperbesar panas matahari. Hasil pengukuran menunjukkan bahwa pemanas ruangan dapat menghangatkan ruangan yang dingin pada suhu 22,4⁰C menjadi 28,2⁰C. dan kapasitas pemanas udara yang diperoleh adalah 0,24 kj hingga 4,58 kj.
Case Method-Based Learning in AUTOCAD-Assisted CAD Program Courses Arisman Telaumbanua; Nurhasan Syah; Muhammad Giatman; Refdinal Refdinal; Oskah Dakhi
Edumaspul: Jurnal Pendidikan Vol 6 No 1 (2022): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v6i1.4127

Abstract

The purpose of this research is to increase students' understanding of CAD program courses through the application of the case method learning model. This type of research is Classroom Action Research (CAR). This research was conducted to find solutions that can be done so that the potential of each teaching participant can be explored optimally. The subjects of this study were the fourth semester students of the Building Engineering Education Study Program, University of Nias, who at the time of this research were contracting 22 CAD courses. The method of measuring the level of success is carried out in three cycles. The method of data collection was carried out by observation, performance tests, quantitative and qualitative data collection, and data analysis techniques of learning implementation. Based on the results of data analysis and discussion, it was found that the most dominant activity of lecturers in providing lecture material using autocad media could increase student understanding by 0.47 points from cycle 1 to cycle 2 while the increase from cycle 2 to cycle 3 was 0.04 points. Activities in providing explanations to student questions using autocad media can increase student understanding by 0.25 points from cycle 1 to cycle 2 and increase student understanding by 0.27 points. The mastery of students' cognitive learning outcomes increased from cycles 1 to 3, with the percentage of mastery in cycle 1 being 31.82% and cycle 2 being 54.54%, and in cycle 3 being 90.9%. So it is concluded that the application of the case method learning model assisted by autocad media can improve students' understanding of the CAD program material.
Development of E-Learning Module for Lathe Machining Techniques with a Service-Learning Approach in Vocational High Schools Suwondo Suwondo; Refdinal Refdinal; Ambiyar Ambiyar; Aswardi Aswardi
AL-ISHLAH: Jurnal Pendidikan Vol 16, No 4 (2024): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v16i4.6250

Abstract

This study addresses the limitations in current learning tools for vocational machining skills, which impede active engagement, independent study, and optimal learning outcomes. To address these challenges, an e-module for Lathe Machining Engineering was developed using a Service Learning approach to enhance learning effectiveness through valid, practical, and effective instructional resources. The development followed the ADDIE model, encompassing Analysis, Design, Development, Implementation, and Evaluation stages. Data were collected from teachers, subject-matter experts, and students to assess the e-module's validity, practicality, and effectiveness. Descriptive statistics were used for data analysis. The e-module was found to be valid across multiple criteria: content feasibility (0.85), presentation quality (0.86), language suitability (0.82), Work-Based Learning (WBL) alignment (0.94), and incorporation of the Service Learning approach (0.83). Practicality was high, with student and teacher responses averaging 90.8%. Effectiveness, measured by a gain score of 0.60, fell in the medium category, indicating improved learning outcomes. The findings suggest that the Service Learning-based e-module is a robust learning medium for enhancing machining competencies in vocational education. Its integration of active learning principles addresses gaps in engagement and independent study, supporting its practical application in technical education settings. The Lathe Machining Engineering e-module, grounded in a Service Learning approach, is valid, practical, and effective. Future research should explore its long-term impact on student performance and adaptability across diverse technical disciplines.
Teacher readiness in terms of technological skills in facing artificial intelligence in the 21st century education era Mhd Safiq Adzkia; Refdinal Refdinal
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol. 10 No. 4 (2024): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020244152

Abstract

Students currently being faced are students who were born in the digital era, they are accustomed to things related to the internet, they are already good at playing the gadgets they have, while there are still teachers who are not very good at using various applications for learning. This study aims to determine the readiness of vocational high school teachers to face artificial intelligence in the era of 21st century education.The type of research used in this study is a descriptive quantitative method. The population is 274 teachers. The number of samples is 73 teachers who are drawn using the proportional random sampling technique. The data collection technique is carried out through primary data in the form of questionnaires filled out by respondents and secondary data in the form of data obtained from the school. The test results show the unpreparedness of teachers in terms of technological skills influenced by critical thinking, problem solving, communication, collaboration and creativity. The conclusion of this study is that there is a positive and significant relationship between critical thinking and problem solving, communication, collaboration and creativity on the readiness of vocational high school teachers in facing artificial intelligence in the 21st Century Education era.
Google sites-based network system administration learning media to enhance students critical thinking skills Bulhadi Bulhadi; Refdinal Refdinal; Risfendra Risfendra; Muhammad Adri
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol. 11 No. 3 (2025): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020256428

Abstract

This study aims to develop a Google Sites-based learning media for the Network System Administration subject to enhance the critical thinking skills of vocational high school (SMK) students. The research was motivated by the low level of student engagement in learning that remains predominantly teacher-centered, the limited utilization of digital learning resources, and the low achievement results that fall below the established Learning Achievement Criteria (KKTP). The research employed a Research and Development (R&D) design using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The subjects were eleventh-grade students of the Computer and Network Engineering program at SMK Negeri 6 Padang. The instruments used included validation questionnaires, practicality tests, and critical thinking tests. Data were analyzed through descriptive quantitative methods and the N-Gain formula to assess media effectiveness. The results showed that the Google Sites-based learning media obtained an average validity score of 92.5% (very valid), practicality score of 91.7% (very practical), and effectiveness with an N-Gain score of 0.65 (moderate to high category). The implementation of this media increased students’ engagement, encouraged productive use of digital devices, and improved critical thinking abilities in analyzing, evaluating, and solving problems.
Augmented reality in vocational mechanical engineering education: a systematic literature review Ahda Sabila; refdinal refdinal; Waskito Waskito; Hansi Effendi; Khofifah Alawyah
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol. 11 No. 3 (2025): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020256446

Abstract

The integration of Augmented Reality (AR) in vocational and mechanical engineering education has become increasingly important in the era of Industry 4.0, where digital competence and practical skills are essential. This systematic literature review aims to identify research trends, methodologies, learning contexts, and challenges related to the use of AR in vocational mechanical engineering education. Guided by the PRISMA framework, a total of 13 empirical studies published between 2020 and 2025 were collected from Scopus and ScienceDirect databases and analysed based on research design, learning topics, and educational outcomes. The findings reveal that most studies employed quasi-experimental and R&D approaches, integrating AR into subjects such as mechanical systems, thermodynamics, structural analysis, CNC machining, and engineering drawing. Across these studies, AR consistently improved learning achievement, spatial reasoning, motivation, and engagement. However, common challenges included hardware limitations, model precision issues, usability constraints, and a lack of teacher readiness. These results highlight AR’s strong potential to enhance technical learning experiences and bridge the gap between theoretical and practical understanding in vocational engineering education.
Prediksi Beban Turbin Uap Menggunakan Machine Learning Berbasis Random Forest untuk Optimalisasi Efisiensi Turbin Uap Pada PLTU Ombilin Diki Alfarizi; Arwizet Arwizet; Refdinal Refdinal; Primawati Primawati
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.2879

Abstract

Penelitian ini mengembangkan model prediktif untuk estimasi beban turbin uap dengan mengimplementasikan teknik machine learning Random Forest dalam rangka optimasi efisiensi operasional turbin uap pada fasilitas PLTU Ombilin. Proses penelitian melibatkan akuisisi data operasional historis yang kemudian melalui tahap preprocessing menggunakan normalisasi Min-Max Scaler dan pembagian dataset dengan rasio 80:20 untuk training dan testing. Optimasi model Random Forest dilakukan melalui hyperparameter tuning untuk memperoleh konfigurasi optimal, menghasilkan performa dengan MAE 1.024, RMSE 0.987, dan R-squared 0.893 pada evaluasi testing. Hasil evaluasi mengindikasikan kemampuan model dalam menghasilkan prediksi akurat dengan generalisasi yang memadai terhadap data baru. Implementasi model ini diproyeksikan dapat berfungsi sebagai tool decision support dalam manajemen operasional pembangkit, meningkatkan thermal efficiency turbin uap, dan mendukung reduksi konsumsi fuel serta emisi greenhouse gas. Riset ini merekomendasikan eksplorasi algoritma komplementer seperti Gradient Boosting, XGBoost, dan Artificial Neural Network untuk benchmarking performa dan validasi model yang lebih komprehensif.
Prediksi Beban Turbin Uap Menggunakan Machine Learning Berbasis Random Forest untuk Optimalisasi Efisiensi Turbin Uap Pada PLTU Ombilin Diki Alfarizi; Arwizet Arwizet; Refdinal Refdinal; Primawati Primawati
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.2880

Abstract

Penelitian ini mengembangkan model prediktif untuk estimasi beban turbin uap dengan mengimplementasikan teknik machine learning Random Forest dalam rangka optimasi efisiensi operasional turbin uap pada fasilitas PLTU Ombilin. Proses penelitian melibatkan akuisisi data operasional historis yang kemudian melalui tahap preprocessing menggunakan normalisasi Min-Max Scaler dan pembagian dataset dengan rasio 80:20 untuk training dan testing. Optimasi model Random Forest dilakukan melalui hyperparameter tuning untuk memperoleh konfigurasi optimal, menghasilkan performa dengan MAE 1.024, RMSE 0.987, dan R-squared 0.893 pada evaluasi testing. Hasil evaluasi mengindikasikan kemampuan model dalam menghasilkan prediksi akurat dengan generalisasi yang memadai terhadap data baru. Implementasi model ini diproyeksikan dapat berfungsi sebagai tool decision support dalam manajemen operasional pembangkit, meningkatkan thermal efficiency turbin uap, dan mendukung reduksi konsumsi fuel serta emisi greenhouse gas. Riset ini merekomendasikan eksplorasi algoritma komplementer seperti Gradient Boosting, XGBoost, dan Artificial Neural Network untuk benchmarking performa dan validasi model yang lebih komprehensif.
Co-Authors - Primawati Abdul Aziz Abdullah, MT, Dr. Rijal Ahda Sabila Ahmad Arif Alvien Khardin Ambiyar, Ambiyar Ambyar Ambyar Andre Kurniawan Antoni Hilman Aprizal Saputra Arisman Telaumbanua Arwizet Arwizet Arwizet Arwizet, Arwizet Aswardi Aswardi Asyahri Hadi Nasyuha Azmil Azman Budi Syahri Bulhadi Bulhadi Buyung Solihin Hasugian Diki Alfarizi Dino Adi Putra Donny Fernandez Dzaky Dzulqa Arijal Edidas , Edidas Evan Prakarsa Fadhilah Fadhilah Fadhli Ranuharja Febri Prasetya Fikrul Aziz Ginting, Erika Fahmi Hamdani Hamdani Hansi Effendi Hasan Maksum Hermi Zaswita Irma Yulia Basri Jalius Jama Junil Adri Khofifah Alawyah M Iqbal M. Yasep Setiawan Marsono Marsono Martias Martias Maryatun Kabatiah Masyuni Hutasuhut Meri Yolanda Mhd Safiq Adzkia Muhammad Adri Muhammad Akhbar Muhammad Ichsan Muslim Muslim Niki Prasetio L Nizwardi Jalinus Nizwardi Zalinus Nurdin Hendri Nurhasan Syah OSKAH DAKHI Purwanto, Wawan Purwantono Purwantono Ramadhan, Muhammad Sabir Randa M Remon Lapisa Reti Handayani Ridwan Ridwan Rifelino Rifelino Riky Satria Risfendra Risfendra Rizki Hardian Sakti Ronal Watrianthos Rosmidah Hasibuan Salsabila, Unik Hanifah Sri Rizki Putri Primandari Suparno Suparno Suwondo Suwondo Syaflan Sandi Harta Putra Syafni Yulia Devani Syahrial Syahrial Syaiful Islami Toto Sugiarto Toto Sugiarto Wagino Waskito Waskito Waskito Willy Vernando Yanita, Merita Yanto, Doni Tri Putra Yoga Andika Yohanni Syahra Yolanda Ferdani Melinton Yolanda Putri Yolli Fernanda Yufrizal Yufrizal Yuke Permata Lisna