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Educational Technology: from the Digital Classroom Dwiyanto
EduTech Journal Vol. 2 No. 1 (2025): JET-MAY
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/bzpxd571

Abstract

This study aims to examine the implementation of educational technology in the context of digital classrooms in Surabaya, focusing on the readiness of teachers and students, the challenges encountered, and the adaptation strategies employed. The research method used is qualitative with a case study approach, involving in-depth interviews, participatory observations, and document analysis at several schools in Surabaya. The results indicate that the success of digital learning is significantly influenced by access to technology, teacher training, and adequate institutional support. Despite challenges such as the digital divide, network disruptions, and psychological barriers, teachers and students have been able to develop various learning innovations and adaptation strategies to enhance the effectiveness of the teaching and learning process. This study underscores the importance of collaboration among all stakeholders in creating an inclusive and sustainable digital education ecosystem. The findings have implications for the development of future education policies and digital learning practices.
Prediction of Domestic Passengers at Kualanamu International Airport Using Long Short Term Memory Network Sunardi, Sunardi; Dwiyanto, Dwiyanto; Sinambela, Marzuki; Jamaluddin, Jamaluddin; Manalu, Darwis Robinson
MEANS (Media Informasi Analisa dan Sistem) Volume 4 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.293 KB) | DOI: 10.54367/means.v4i2.566

Abstract

Domestic passenger forecasting provides key input into decisions of daily operation management and infrastructure planning of airports and air navigation services and for aircraft ordering and design. Planning for the future is one of the most important keys to success, forecasting is the way. The goal of this study to predict the number of domestic passengers at Kualanamu International Airport. The time-series data were employed from Badan Pusat Statistik (BPS). The result is then discussed in the context of the potential use of the proposed for a new perspective for the predicting of domestic passengers at Kualanamu International Airport, Indonesia. The machine learning approach using long short term memory (LSTM) presents a useful way of observing the domestic passenger predict the passenger time series.
PENYULUHAN ENERGI SOLAR SEBAGAI SUMBER ENERGI ALTERNATIF RAMAH LINGKUNGAN MENGGUNAKAN PROTOTIPE SMART PHOTOVOLTAIC SOLAR CHARGING SYSTEM DALAM BENTUK SOLAR TRACKER MENGGUNAKAN KONTROL LOGIKA FUZZY DI SMA NEGERI 1 SOOKO, MOJOKERTO Sakti, Gunawan; Hariyadi, Slamet; Hartono, Hartono; I.S, Rifdian; Dwiyanto, Dwiyanto; Julaihah, Siti; Sukomardojo, Tekat; Thiro K.Y., Yudhis
Journal of Public Transportation Community Vol. 5 No. 1 (2025): Journal Public Transportation Community April 2025
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jptc.v4i1.1890

Abstract

Energi terbarukan adalah pilihan energi yang lebih sehat untuk bumi karena berasal dari alam dan tidak terbatas, energi ini bisa mengurangi polusi dan ketergantungan kita pada bahan bakar fosil yang semakin menipis. Para dosen Program Studi D3 Teknik Listrik Bandara Politeknik Penerbangan Surabaya mengadakan kegiatan pengabdian kepada masyarakat yang merupakan bagian dari tri dharma perguruan tinggi dengan melakukan penyuluhan energi solar sebagai sumber energi alternatif ramah lingkungan menggunakan prototipe smart photovoltaic solar charging system dalam bentuk solar tracker menggunakan kontrol logika fuzzy. Kegiatan ini dilaksanakan di SMA Negeri I Sooko Mojokerto pada tanggal 11 September 2024 dengan peserta dari siswa-siswi sebanyak 95 orang dan didapatkan kesimpulan bahwa kegiatan penyuluhan terlaksana dengan baik dengan memperoleh hasil Quiz Pre-Test Kahoot sebelum dilakukan penyuluhan didapatkan nilai rata-rata pemahaman sebanyak 68% kemudian setelah dilakukannya penyuluhan Quiz Post-Test Kahoot didapatkan nilai rata-rata pemahaman sebesar 93%. Setelah dievaluasi dari Quiz Pre-Test dan Post-Test Kahoot kegiatan sebelum dan sesudah dilakukannya penyuluhan pemahaman para siswa meningkat sebesar 25%. Dengan hasil ini diharapkan bisa menjadi bekal buat para siswa SMA Negeri 1 Sooko, Mojokerto mengenai pemahaman tentang prototipe smart photovoltaic solar charging system dalam bentuk solar tracker menggunakan kontrol logika fuzzy.
Usability Analysis Aplikasi Mobile Augmented Reality (MAR) untuk Multimedia Pembelajaran Motherboard (Aplikasi AR-Mobo) Vanda, Yoiceta; Dwiyanto, Dwiyanto
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1654

Abstract

Currently, Augmented Reality (AR) technology has developed into an easy-to-use, efficient and effective technology for providing innovative educational media. Mobile Augmented Reality (MAR) is an Augmented Reality technology that utilizes mobile devices, for example, smartphones. The MAR application for multimedia learning on the motherboard is seldom used in classroom learning so the effectiveness of learning is less than optimal. The research objective was to determine the level of usability of the MAR application system using the USE questionnaire. According to Arnold M. Lund, Usability analysis has 4 aspects: usefulness, ease of use, ease of learning, and satisfaction. The method used is usability testing with 90 engineering students participating as research subjects. This study uses a questionnaire as a data collection tool and uses descriptive statistical analysis. The results of this study, that the average usability analysis score is 86.22 is included in the very feasible category, based on the system feasibility category table. The developed MAR application shows that it has provided better user interaction. This research has the benefit of knowing the use of MAR applications on students, for specific purposes, namely effectiveness, efficiency, and satisfaction. Lack of user motivation, and lack of features, will cause stress. This occurs when the system cannot meet the goals of its users.
Effect of Heat Treatment and 1,5% Magnesium Addition on Density, Hardness, and Tensile Strength of Al-Cu-Mg Alloys Junipitoyo, Bambang; Said, Djamaaludin; Dwiyanto, Dwiyanto
SAINSTECH NUSANTARA Vol. 1 No. 3 (2024): August 2024
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v1i3.61

Abstract

This research focuses on adding aluminum 1100 combinations by adding magnesium (Mg) as much as 1.5% and varying the percentage of copper (Cu). 3.9%, 4.1%, 4.3%/ with heat treatment at temperatures of 1000C, 2000C, 3000C, and 4000C  with a holding time at each temperature of 120 minutes, then tested the aluminum combination's density, Vickers hardness, and tensile strength. The final results of this study showed that in the density test, the highest density value obtained was 4.24 gr/cm3 in a mixture of 1.5% magnesium and 4.3% copper (Cu) with a temperature of 2000C. In the Vickers hardness test, the highest hardness value was 83.9 HVN in a mixture of 1.5% magnesium and 4.3% copper with a temperature of 4000C. The final result of the research conducted was to obtain the tensile strength results of each specimen by obtaining the maximum tensile strength of the 4.1% Cu mixture specimen with a temperature of 4000C of 163.2698 Mpa and the highest strain value in the 4.3% Cu mixture specimen with a temperature of 4000C of 0.0472 %, for the results of the lowest elastic modulus value in the 4.3% Cu mixture specimen with a temperature of 2000C of 3147.319 Mpa and the highest value of the 4.1 % Cu mixture specimen with a temperature of 4000C of 5947.898 Mpa.
IoT-Based Vibration Analysis for Induction Motor Damage Monitoring Hartono, Hartono; Sakti, Gunawan; Dwiyanto, Dwiyanto; Hariyadi, Slamet; Sukomardojo, Tekat; Julaihah, Siti; Yunior, Yudhis Thiro Kabul
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 18, No 4a: December 2025
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v18i4a.32854

Abstract

Induction motors are an important component in various industrial applications due to their reliability in long-term opeation. Failure of induction motors can cause production disruptions and significant repair costs. This research develops an Internet of Things (IoT)-based vibration monitoring system using ADXL345 accelerometer sensors and ESP32 microcontrollers. The vibration data obtained is sent to a computer via asynchronous serial communication, where the computer performs FFT calculations and frequency analysis to extract dominant information from the vibration signal. Damage detection is performed using a combination of heuristics and threshold rules to classify the motor status as healthy or ambiguous. The classification results are then sent back via the MQTT protocol and can be visualized in real-time through a dashboard. This system enables predictive maintenance, thereby minimizing the risk of sudden failure and increasing operational efficiency.
PERENCANAAN PERBAIKAN JALAN AKSES MASUK DAN KELUAR TERMINAL PENUMPANG MENGGUNAKAN METODE PAVEMENT CONDITION INDEX (PCI) DI BANDAR UDARA JUWATA TARAKAN, KALIMANTAN UTARA Abdillah Firdaus, Naufal; Rozi, Fahrur; Dwiyanto
Prosiding SNITP (Seminar Nasional Inovasi Teknologi Penerbangan) Vol. 9 No. 1 (2025): SNITP 2025
Publisher : Politeknik Penerbangan Surabaya

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

Abstract

Bandar Udara Juwata Tarakan di Kalimantan Utara berperan penting dalammendukung mobilitas penumpang dan distribusi barang. Peningkatan lalu lintaskendaraan berat pada tahun 2024 menyebabkan kerusakan signifikan pada jalanakses terminal. Penelitian ini bertujuan mengevaluasi tingkat kerusakan danmerencanakan metode perbaikan menggunakan Pavement Condition Index (PCI)berdasarkan survei visual ASTM D6433. Hasil menunjukkan jalan akses masuk(perkerasan kaku) sebagian besar dalam kondisi Baik (73,33%), sedangkan jalanakses keluar (perkerasan lentur) didominasi kondisi Buruk (40%). Rekomendasiperbaikan meliputi pembersihan dan pemantauan 107 m2, penambalan 324,6 m2,serta pembongkaran lokal 289 m2 pada jalan masuk (total 721 m2), dan pembersihan10 m2 serta patching 1.125 m2 pada jalan keluar (total 1.194 m2). Estimasi biayaperbaikan sebesar Rp134.053.000,00 untuk jalan masuk dan Rp253.724.000,00untuk jalan keluar. Hasil penelitian ini menjadi dasar perencanaan pemeliharaanyang efektif dan berkelanjutan di Bandar Udara Juwata Tarakan.
Integrating Technology With Human Insight: The Era of Digital Collaboration Dwiyanto Dwiyanto; Frhendy Aghata
Technologia Journal Vol. 2 No. 1 (2025): Technologia Journal - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/sztfq724

Abstract

This study aims to identify an integrative approach between technology and human insight in digital collaboration. The method used is the Systematic Literature Review (SLR), which allows a systematic review of related literature to understand the concepts, models, benefits, and challenges in this integration. This study focuses on three main questions: (1) how technology and human insight are combined in digital collaboration practices, (2) what technologies are commonly used, and (3) what are the benefits and obstacles in this integration. The results of the study show three main patterns of human-technology collaboration: interactive, adaptive, and limited autonomy. In the interactive pattern, humans become decision makers with the support of data-based technology. The adaptive pattern utilizes AI and machine learning that learn from human interactions, but still requires ethical supervision. Meanwhile, the limited autonomy pattern gives decision-making authority to technology in a certain scope with human control. This study emphasizes the importance of the role of human values—such as intuition, empathy, and ethics—in maintaining the effectiveness of digital collaboration. The success of this integration is also influenced by organizational culture and leadership that are adaptive to innovation and a human-centered approach
The Impact of Technology on Education: Transforming Learning in the Digital Age La Jaali; Dwiyanto Dwiyanto; Beki Subaeki
Technologia Journal Vol. 2 No. 1 (2025): Technologia Journal - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/dcsk7858

Abstract

This study aims to analyze the influence of technology on education and the transformation of learning in the digital era. Rapid technological developments have brought significant changes to learning methods and approaches, enabling the creation of more interactive, flexible, and effective learning experiences. The research method used is the Systematic Literature Review (SLR), which was chosen because it is able to present a comprehensive and structured picture of the results of previous studies. The initial stage of the SLR method is to formulate specific research questions, such as how technology influences learning methods in the digital era, the challenges of implementing technology in education, and strategies for optimizing technology in learning. Furthermore, a literature search was conducted on leading academic databases, such as Google Scholar, Scopus, Web of Science, IEEE Xplore, and ScienceDirect, using keywords such as "technology in education," "digital learning transformation," "the influence of technology on learning," and "e-learning and online learning." The results of the study show that the implementation of technology in education has a positive impact, such as increasing interaction, flexibility, and effectiveness of learning. Technologies such as online learning platforms (LMS), multimedia, artificial intelligence, and digital collaboration tools enable independent learning and better interaction between students and teachers. However, there are challenges in implementing technology, such as the digital access gap, low digital literacy, and the risk of reduced social interaction. To overcome these challenges, it is necessary to improve digital infrastructure, digital competency training, and policies for equal access to technology. Government support and collaboration with the technology industry are essential to maximize the benefits of technology in education.
Power Analysis Of A 100 Watt Micro Hydro Power Generator Using An Internet Of Things (IoT) Web Services Based On The Code Igniter Framework Yunior, Yudhis Thiro Kabul; Hartono, Hartono; Hariyadi, Slamet; Dwiyanto, Dwiyanto; Sukomardojo, Tekat; Widdana, Surya
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1633

Abstract

Small-scale Microhydro power plants (100 Watt) require a real-time and accurate power monitoring system to improve efficiency and maintenance. This research aims to develop an Internet of Things (IoT)-based electrical power analysis system by utilizing a Web Service based on the CodeIgniter Framework to process and display data online. The system consists of sensor modules (voltage and current) using ZMPT101B and ACS712, an ESP32 microcontroller for data transmission, and a CodeIgniter backend that provides a RESTful API for data storage and processing. Power (P), voltage (V), current (I), and energy (kWh) data are displayed on a web dashboard with graphic visualization using Chart.js. The research method uses a Research and Development (R&D) approach with stages of needs analysis, system design, implementation, and testing. The test results show that the system is able to monitor power with 95% accuracy compared to digital multimeter measurements, and has a data transmission latency of <2 seconds. This solution can be applied to small-scale Microhydro power plants for IoT-based monitoring with low cost and high scalability.