Abstract:Electrical installations in school buildings play a vital role in ensuring safety, comfort, and effective learning environments and therefore must comply with the General Requirements for Electrical Installations (PUIL).…
This study aims to analyze the electrical installation condition of SDN 002 Bontang Utara through the evaluation of lighting systems, power requirements, conductors, protection systems, and air conditioning based on PUIL 2011 standards and DIALux simulation. The study employed a field research method with a quantitative descriptive approach through observation, technical measurements, documentation, and lighting simulation analysis. The findings indicate that the school’s electrical installation still exhibits several discrepancies with actual technical requirements, particularly regarding the number and capacity of lamps, air conditioner capacity, and electrical power demand. DIALux simulation revealed that several rooms have not yet met the required lighting standards, while power analysis demonstrated that the actual demand of 25,794 VA exceeds the installed capacity of 22,188.8 VA, thereby necessitating adjustments to the protection and conductor systems to enhance installation safety and efficiency. The study concludes that the electrical installation of SDN 002 Bontang Utara requires improvements in lighting, cooling systems, power capacity, and electrical protection. The novelty of this research lies in its integrated evaluation of elementary school electrical installations through field analysis, PUIL 2011 technical calculations, and DIALux simulations across rooms with diverse functions, thereby producing more comprehensive and applicable recommendations.
Abstract:The growing dominance of impulse buying within TikTok's live streaming commerce, particularly in the Fashion product segment, signifies a transformation in digital consumer behavior influenced by the dynamics of real-time…
e interactivity and incentive-based promotional strategies. This study empirically examines the effects of real-time interactivity and promotion incentive information on impulse buying behavior, with perceived trust serving as a mediating variable that explains the psychological pathway between digital stimuli and spontaneous purchase decisions. Employing a quantitative approach with an associative causal design, data were collected from 231 active TikTok users in Indonesia and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) version 4.0. The analysis reveals that both exogenous variables significantly enhance the tendency for impulsive purchases, both directly and indirectly through the mediation of perceived trust. Responsive real-time interactions and exclusive, time-sensitive promotions effectively foster consumer trust in sellers, which subsequently accelerates unplanned buying behavior. These findings advance theoretical discourse in digital marketing literature by emphasizing the critical integration of interactivity, promotional stimuli, and affective trust mechanisms in shaping purchasing decisions within persuasive and simultaneous digital environments. The practical implications of this study offer strategic insights for businesses, encouraging the optimization of interactive features and promotional tactics to establish credibility and drive instant sales conversions in the context of e-commerce live streaming.
Abstract:Abstract: The development of network infrastructure in higher education environments demands a monitoring system capable of detecting disruptions quickly and accurately. Royal University does not yet have an integrated and…
nd real-time network monitoring system, so network administrators often discover disruptions after receiving reports from users. This condition results in slow response to disruption handling and suboptimal network performance. This study aims to implement The Dude as a network monitoring system to support the optimization of Royal University's network infrastructure performance. The research method used is a qualitative approach with the stages of problem identification, literature study, system analysis, system design, implementation, and system testing. The monitoring system is implemented with The Dude Server architecture running on MikroTik CHR, while The Dude Client is used by the administrator via a laptop. The results show that the system is capable of performing network discovery, monitoring device status in real-time, displaying network topology visualization, recording monitoring history, and providing notifications when disruptions occur. System testing proves that all monitoring functions run according to the analyzed requirements. Thus, the implementation of The Dude is proven effective in increasing the speed of disruption detection, troubleshooting efficiency, and optimizing the network performance of Royal University.
Keywords: mikrotik; network monitoring; network discovery; network optimization; the dude
Abstrak: Perkembangan infrastruktur jaringan di lingkungan perguruan tinggi menuntut adanya sistem pemantauan yang mampu mendeteksi gangguan secara cepat dan akurat. Universitas Royal belum memiliki sistem monitoring jaringan yang terintegrasi dan real-time, sehingga administrator jaringan sering mengetahui gangguan setelah menerima laporan dari pengguna. Kondisi ini berdampak pada lambatnya respons penanganan gangguan serta kurang optimalnya kinerja jaringan. Penelitian ini bertujuan untuk mengimplementasikan The Dude sebagai sistem monitoring jaringan guna mendukung optimalisasi kinerja infrastruktur jaringan Universitas Royal. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan tahapan identifikasi masalah, studi literatur, analisis sistem, perancangan sistem, implementasi, dan pengujian sistem. Sistem monitoring diimplementasikan dengan arsitektur The Dude Server yang berjalan pada MikroTik CHR, sedangkan The Dude Client digunakan oleh administrator melalui laptop. Hasil penelitian menunjukkan bahwa sistem mampu melakukan network discovery, memantau status perangkat secara real-time, menampilkan visualisasi topologi jaringan, mencatat histori monitoring, serta memberikan notifikasi ketika terjadi gangguan. Pengujian sistem membuktikan bahwa seluruh fungsi monitoring berjalan sesuai dengan kebutuhan yang telah dianalisis. Dengan demikian, implementasi The Dude terbukti efektif dalam meningkatkan kecepatan deteksi gangguan, efisiensi troubleshooting, dan optimalisasi kinerja jaringan Universitas Royal.
Kata kunci: mikrotik; monitoring jaringan; network discovery; optimalisasi jaringan; the dude
Abstract:This community service aims to improve digital literacy of students at SMK Negeri 1 Setia Janji through training in safe and effective internet use. Digital literacy is an essential skill in today's digital era, especially…
ly for Vocational High School (SMK) students who will enter the workforce directly. However, the low understanding of wise internet use, as well as the rampant misuse of digital media, are serious challenges that need to be overcome. The method used in this activity is a hands-on training approach that includes materials on digital ethics, cybersecurity, online information management, and the use of the internet for learning and self-development. The results of the activity showed a significant increase in students' understanding and skills related to safe and effective internet use. Thus, this training has proven effective in improving students' digital literacy and can be used as a model for developing digital competencies in other school environments.
Keywords: digital literacy; safe internet; training; vocational high school students
Abstrak: Pengabdian ini bertujuan untuk meningkatkan literasi digital siswa SMK Negeri 1 Setia Janji melalui pelatihan penggunaan internet secara aman dan efektif. Literasi digital merupakan keterampilan esensial dalam era digital saat ini, terutama bagi siswa Sekolah Menengah Kejuruan (SMK) yang akan terjun langsung ke dunia kerja. Namun, rendahnya pemahaman tentang penggunaan internet secara bijak, serta maraknya penyalahgunaan media digital, menjadi tantangan serius yang perlu diatasi. Metode yang digunakan dalam kegiatan ini adalah pendekatan pelatihan berbasis praktik langsung (hands-on training) yang mencakup materi tentang etika digital, keamanan siber, manajemen informasi online, serta pemanfaatan internet untuk pembelajaran dan pengembangan diri. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman dan keterampilan siswa terkait penggunaan internet yang aman dan efektif. Dengan demikian, pelatihan ini terbukti efektif dalam meningkatkan literasi digital siswa dan dapat dijadikan model pengembangan kompetensi digital di lingkungan sekolah lainnya.
Kata kunci: Internet aman; literasi digital; Pelatihan; Siswa SMK
Abstract:This workshop aimed to enhance teachers' competencies in integrating Artificial Intelligence (AI) technology into English language teaching practices. It began with a needs assessment survey to identify the challenges teachers…
achers face in utilizing technology. The implementation methods included interactive training sessions, demonstrations of AI-based applications such as learning chatbots, and hands-on support in designing technology-based lesson plans.The workshop results showed that the pre-test score totaled 1,795, with an average score of 59.83. Following the training, a post-test was conducted to measure the improvement in teachers' understanding through the use of the chatbot application. The post-test score reached 2,520, with an average post-test score of 84.00, reflecting an increase of 30 points. This significant improvement highlighted the teachers' enhanced understanding and skills in using AI to create more dynamic, student-centered learning environments. Teachers expressed greater confidence in exploring innovative teaching methods that boost student motivation and participation. It is hoped that this training model can be adapted to other educational settings to support the sustainable integration of technology.
Keywords: artificial intelligence; english language learning; primary school teachers; AI technology.
Abstrak: Pelatihan ini bertujuan untuk meningkatkan kompetensi guru dalam mengintegrasikan teknologi Artificial Intelligence (AI) ke dalam praktik pengajaran bahasa Inggris. Pelatihan dimulai dengan survei penilaian kebutuhan untuk mengidentifikasi tantangan yang dihadapi guru dalam memanfaatkan teknologi. Metode pelaksanaannya meliputi sesi pelatihan interaktif, demonstrasi aplikasi berbasis AI seperti chatbot pembelajaran, dan pendampingan langsung dalam merancang rencana pembelajaran berbasis teknologi. Hasil lokakarya menunjukkan bahwa skor pre-test mencapai 1.795, dengan skor rata-rata 59,83. Setelah pelatihan, dilakukan post-test untuk mengukur peningkatan pemahaman guru melalui penggunaan aplikasi chatbot. Skor post-test mencapai 2.520, dengan skor rata-rata post-test 84,00, yang mencerminkan peningkatan sebesar 30 poin. Peningkatan yang signifikan ini menyoroti peningkatan pemahaman dan keterampilan guru dalam menggunakan AI untuk menciptakan lingkungan belajar yang lebih dinamis dan berpusat pada siswa, dan para guru menyatakan kepercayaan diri yang lebih besar dalam mengeksplorasi metode pengajaran inovatif yang dapat meningkatkan motivasi dan partisipasi siswa. Diharapkan model pelatihan ini dapat diadaptasi ke lingkungan pendidikan lainnya untuk mendukung integrasi teknologi yang berkelanjutan.
Kata kunci: kecerdasan buatan; pembelajaran bahasa inggris; guru sekolah dasar; teknologi AI.
Abstract:Word processing training is really needed by LKP Arvi Com students in understanding Microsoft Office. Students already have basic knowledge about word processing, but there are still many features in the software that they…
ey don't know and use in learning at LKP Arvi Com, especially at Mircosoft Office. . The main aim of this service is to improve students' computer skills and work abilities during their PKL period. This training focuses on mastering the basics of Microsoft Office (Word), which is one of the word processing applications commonly used in various work environments. In this service program, PKL students will be given intensive training on various aspects of using Microsoft Office, such as introducing the interface, arranging pages, creating tables, inserting images, using collaboration features, preparing official documents, using styles and templates. By participating in this training, PKL students at LKP Arvi Com will gain improved skills that can increase their added value in the world of work. Apart from that, this community service will also provide positive benefits for LKP Arvi Com by increasing its reputation and contribution to education and training in the local community.
Keywords: microsoft office; PKL; data processing.
Abstract:Entrepreneurship is one of the biggest money-making sectors, even in developed countries such as Japan, South Korea and England are developing countries very rapidly because they have many entrepreneurs in their country.…
Entrepreneurship is now not only applied in the real world but has entered the virtual world in which it is able to create new lives, new environments, new friends and places to live like we live in the real world. This technology is called the metaverse. Many large companies are willing to invest their money in developing the metaverse. This service activity aims to increase the knowledge of SMK N 1 students about the metaverse and later be able to compete with technology in the industrial era 4.0 and utilize the metaverse as a place to carry out entrepreneurial activities.
Keywords: Entrepreneurship; technology; metaverse
Abstrak: Kewirausahaan merupakan salah satu sektor penghasil uang terbesar, bahkan dinegara maju seperti jepang, korea selatan dan inggris menjadi negara yang berkembang sangat pesat karena memiliki banyak pengusaha dinegaranya. Kewirausahaan kini tidak hanya diterapkan di dunia nyata tetapi sudah memasuki dunia maya yang didalamnya mampu menciptakan kehidupan yang baru, lingkungan baru, teman baru serta tempat tinggal layaknya kita hidup didunia nyata teknologi ini disebut metaverse. Banyak perusahaan besar yang rela menginvetasikan uang mereka demi mengembangkan metaverse. kegiatan pengabdian ini bertujuan untuk menambah pengetahuan siswa SMK N 1 terhadap metaverse dan nantinya mampu bersaing dengan teknologi di era industri 4.0 serta memanfaatkan metaverse sebagai wadah melakukan kegiatan berwirausaha serta mengenalkan hasil karya dari para siswa dan siswi.
Kata kunci: kewirausahaan; metaverse; teknologi
Abstract:Abstract: Man-in-the-Middle (MITM) attacks are a threat that can occur on public wireless networks, including campus Wi-Fi environments. This study aims to analyze MITM attacks on the Wi-Fi network at Universitas ‘Aisyiyah…
iyah Yogyakarta using the National Institute of Standards and Technology (NIST) digital forensics methodology. The study applied the four NIST phases: collection, examination, analysis, and reporting. The digital evidence analyzed included packet capture (PCAP) files, as well as digital traces such as browser history, cookies, and cache data obtained from the victim’s device. The analysis process utilized Wireshark, the SQLite Database Browser, and ChromeCacheView to identify suspicious activity and correlate the discovered digital traces. The results of the study show that the MITM attack was successfully reconstructed through the correlation of digital traces, leading to the identification of ARP spoofing and DNS spoofing originating from a device with the IP address 192.168.200.12 and the MAC address a0:47:d7:73:ef:fb. The correlation of digital traces in the victim’s network and system traffic revealed communication redirection and web access manipulation. This study concludes that the NIST method is capable of reconstructing MITM attacks and identifying digital evidence from activity traces on both the network and the system.
Keywords: ARP spoofing; digital forensics; DNS spoofing; MITM; NIST
Abstrak: Serangan Man-in-the-Middle (MITM) merupakan ancaman yang dapat terjadi pada jaringan nirkabel publik, termasuk lingkungan WiFi kampus. Penelitian ini bertujuan menganalisis serangan MITM pada jaringan WiFi Universitas ‘Aisyiyah Yogyakarta menggunakan metode forensik digital National Institute of Standards and Technology (NIST). Penelitian menerapkan empat tahapan NIST, yaitu collection, examination, analysis, dan reporting. Bukti digital yang dianalisis meliputi file packet capture (PCAP), jejak digital berupa history browser, cookies, dan cache yang diperoleh dari perangkat korban. Proses analisis menggunakan Wireshark, SQLite Database Browser, dan ChromeCacheView untuk mengidentifikasi aktivitas mencurigakan serta mengorelasikan jejak digital yang ditemukan. Hasil penelitian menunjukkan bahwa serangan MITM berhasil direkonstruksi melalui korelasi jejak digital yang mengarah pada identifikasi ARP spoofing dan DNS spoofing dari perangkat dengan alamat IP 192.168.200.12 dan MAC address a0:47:d7:73:ef:fb. Korelasi jejak digital pada lalu lintas jaringan dan sistem korban menunjukkan adanya pengalihan komunikasi serta manipulasi akses web. Penelitian ini menyimpulkan bahwa metode NIST mampu merekonstruksi serangan MITM dan mengidentifikasi bukti digital dari jejak aktivitas pada jaringan maupun sistem.
Kata kunci: ARP spoofing; DNS spoofing; forensik digital; MITM; NIST
Abstract:Abstract: The advancement of smart agriculture has become a promising solution to increase food productivity and land use efficiency in urban environments. This research aims to develop an Artificial Intelligence (AI)-based…
sed vertical hydroponic farming system integrated with LED grow light technology and catfish aquaponics. The proposed system combines vertical hydroponics and aquaponics to optimize plant growth and water utilization. Internet of Things technology enables real-time environmental monitoring through an Arduino Uno microcontroller integrated with LDR, soil moisture, pH, and NPK sensors. The obtained sensor data is processed using the Mamdani Fuzzy Logic algorithm, which performs fuzzification, rule inference, aggregation, and defuzzification to generate adaptive control decisions for irrigation, nutrient circulation, and LED grow light intensity. This research uses the Research and Development (R&D) method through prototype development and performance evaluation for 30 days using spinach (Amaranthus spp.) and mustard greens (Brassica juncea) as test plants. Experimental results showed that the developed system successfully maintained stable environmental conditions, with soil moisture ranging between 69–72%, a pH value between 6.4 and 6.6, and optimal nutrient availability. Plant growth increased significantly. The integration of IoT, AI and aquaponics improves cultivation efficiency, enabling environmental control as a smart and sustainable solution for urban agriculture.
Keywords: artificial intelligence; aquaponic; hydroponic; LED grow light; vertical farming
Abstract: Kemajuan pertanian cerdas telah menjadi solusi yang menjanjikan untuk meningkatkan produktivitas pangan dan efisiensi penggunaan lahan di lingkungan perkotaan. Penelitian ini bertujuan untuk mengembangkan sistem pertanian hidroponik vertikal berbasis Kecerdasan Buatan (AI) yang terintegrasi dengan teknologi lampu tumbuh LED dan aquaponik ikan lele. Sistem yang diusulkan menggabungkan hidroponik vertikal dan aquaponik untuk mengoptimalkan pertumbuhan tanaman dan pemanfaatan air. Teknologi Internet of Things memungkinkan pemantauan lingkungan secara real-time melalui mikrokontroler arduino uno yang terintegrasi dengan sensor LDR, kelembaban tanah, pH, dan NPK. Data sensor yang diperoleh diproses menggunakan algoritma Logika Fuzzy Mamdani, yang melakukan fuzzifikasi, inferensi aturan, agregasi, dan defuzzifikasi untuk menghasilkan keputusan kontrol adaptif untuk irigasi, sirkulasi nutrisi, dan intensitas lampu tumbuh LED. Penelitian ini menggunakan metode Pengembangan (R&D) melalui pengembangan prototipe dan evaluasi kinerja selama 30 hari menggunakan bayam (Amaranthus spp.) dan sawi hijau (Brassica juncea) sebagai tanaman uji. Hasil eksperimen menunjukkan bahwa sistem yang dikembangkan berhasil mempertahankan kondisi lingkungan yang stabil, dengan kelembaban tanah berkisar antara 69–72%, nilai pH antara 6,4 dan 6,6, dan ketersediaan nutrisi yang optimal. Pertumbuhan tanaman meningkat secara signifikan. Integrasi IoT, AI dan aquaponik meningkatkan efisiensi budidaya, untuk pengendalian lingkungan sebagai solusi cerdas dan berkelanjutan untuk pertanian perkotaan.
Keywords: aquaponik; kecerdasan buatan; hidroponik; lampu tumbuh LED; pertanian vertikal
Abstract:Abstract: Anomalous sound detection is essential for industrial predictive maintenance, as machine failures often originate from subtle acoustic changes during operation. However, high background noise and limitations of…
conventional Convolutional Neural Networks (CNN) reduce detection reliability. This study proposes a 1D-CNN-based anomaly detection framework with multi-view feature fusion and temporal segmentation to enhance detection performance. The approach combines MFCC, Log-Mel Spectrogram, and Chroma STFT features, while temporal segmentation divides audio signals into 5-second segments to better capture transient anomalies. Experiments on the MIMII dataset under varying Signal-to-Noise Ratio (SNR) conditions show that MFCC and Log-Mel fusion achieves the best performance, with 97.90% accuracy and ROC-AUC of 0.9789. The model maintains accuracy above 90% at −6 dB, demonstrating strong robustness in noisy industrial environments.
Keywords: industrial anomaly detection; 1D-CNN; multi-view feature fusion; temporal segmentation; MIMII dataset.
Abstrak: Deteksi anomali suara merupakan komponen penting dalam sistem pemeliharaan prediktif industri, karena kegagalan mesin sering diawali oleh perubahan akustik yang bersifat halus selama proses operasi. Namun, tingkat kebisingan yang tinggi serta keterbatasan arsitektur Convolutional Neural Network (CNN) konvensional dapat menurunkan keandalan deteksi. Penelitian ini bertujuan mengusulkan kerangka deteksi anomali berbasis 1D-CNN yang mengintegrasikan strategi fusi fitur multi-view dan segmentasi temporal untuk meningkatkan kinerja deteksi. Pendekatan yang digunakan menggabungkan fitur MFCC, Log-Mel Spectrogram dan Chroma STFT, sementara teknik temporal splitting membagi sinyal audio menjadi segmen berdurasi 5 detik untuk menangkap anomali yang bersifat sementara. Eksperimen menggunakan dataset MIMII pada berbagai kondisi Signal-to-Noise Ratio (SNR) menunjukkan bahwa kombinasi MFCC dan Log-Mel Spectrogram menghasilkan kinerja terbaik dengan akurasi 97,90% dan ROC-AUC sebesar 0,9789. Model juga mempertahankan akurasi di atas 90% pada kondisi kebisingan ekstrem (−6 dB) yang menunjukkan ketahanan yang baik dalam lingkungan industri yang bising.
Kata kunci: deteksi anomali industri; 1D-CNN; fusi fitur multi-view; segmentasi temporal; dataset MIMII