Abstract:MSMEs in Indonesia are a potential basis for a strong national economy because of their large number, especially micro businesses, and their labor absorption capacity is very large. Sendangtirto Village, which is part of…
the Berbah District Area, Sleman Regency, DIY, also has quite large MSME potential. By knowing and mapping the potential of MSMEs in Sendangtirto and assisting by providing training outreach and mentoring on the digitalization of Sendangtirto MSMEs, it is hoped that it will advance and be able to develop MSMEs, increasing competitiveness with the integration of digital platforms. This service function aims to apply and disseminate the knowledge and skills possessed by academics to the wider community, as well as contributing directly to improving the quality of life and sustainable development. The results of data analysis from the questionnaire showed a significant increase in participants' understanding after the socialization. The participants' positive response to the benefits and ease of use of digital platform robots for ease in digitalizing MSMEs illustrates the success of this socialization.
Keywords: digitalization; socialization;potential of MSMEs
Abstract:Abstrak: Margadana Urban Village is part of the government structure in Tegal City. Lack of spatial information about urban village boundaries, neighborhood boundaries, and other important information deemed necessary. Realizing…
ealizing this, the Margadana Kelurahan thematic maps need to be realized for information disclosure, and the need to optimize the potential of the region for the short, medium, and long term. There is a need for integration between RW and RT in order to provide data and information to make it more efficient. In community service, remote sensing is used, followed by FGDs with local community leaders, namely the urban village administration and RW representatives. The purpose of community service apart from facilitating the sharing and exchange of data/information between Community Leaders can also assist in making safe thematic maps which can be used as the basis for spatial planning based on their potential. The people of the Margadana Urban Village can also participate in the process of planning, utilizing, and controlling the spatial use of their urban village area based on their potential.
Keywords: margadana urban village; road transportation safety polytechnic; thematic map
Abstract: Kelurahan Margadana merupakan salah satu wilayah adminstratif yang berada di Kota Tegal. Belum tersedianya informasi spasial tentang batas kelurahan, batas RW, dan informasi penting lainnya yang dianggap perlu. Menyadari hal ini, maka peta tematik Kelurahan Margadana perlu diwujudkan keterbukaan informasi, dan kebutuhan pengoptimalan potensi wilayah untuk jangka pendek, menengah maupun panjang. Diperlukan adanya keterpaduan antar RW dan RT dalam rangka penyediaan data dan informasi agar lebih efisien. Dalam pengabdian kepada masyarakat ini metode yang digunakan dengan cara melakukan penginderaan jauh, dilanjutkan dengan FGD dengan tokoh masyarakat setempat, yakni pihak kelurahan dan perwakilan RW. Tujuan pengabdian masyarakat selain dengan memfasilitasi sharing dan tukar data/informasi antar Tokoh Mayarakat juga dapat membantu dalam pembuatan peta tematik berkeselamatan yang dapat dijadikan sebagai dasar penataan ruang berdasarkan potensinya. Masyarakat Kelurahan Margadana juga dapat berperan serta dalam proses perencanaan, pemanfaatan, dan pengendalian pemanfaatan ruang wilayah kelurahannya berdasarkan potensi yang dimiliki.
Kata kundi: kelurahan margadana; peta tematik; politeknik keselamatan transportasi jalan
Abstract:Abstrak : Teachers as educators are required not only to convey subject matter to students but also to be able to choose the right learning strategies and media. Many English teachers, including in the city of South Tangerang,…
erang, still lack understanding of how to integrate technology into their teaching practice to optimize student learning outcomes. The purpose of this community service activity is to provide knowledge, skills and awareness to English as a Foreign Language (EFL) teachers about digital learning resources that can be utilized optimally to improve their learning outcomes and integrate technology into lesson plans. The method of implementing these activities is mainly through lectures, exercises, and giving assignments. The results showed that the participants experienced an increase in knowledge, skills and awareness in using digital learning resources with a creative common license. Results also indicated that EFL teachers' understanding of integrating technology into their lesson plans improved.
Keywords: EFL teacher; general creative license; study plans; technology integration
Abstrak: Guru sebagai pendidik dituntut tidak hanya menyampaikan materi pelajaran kepada siswa tetapi juga harus mampu memilih strategi dan media pembelajaran yang tepat. Banyak guru bahasa Inggris, termasuk di kota Tangerang Selatan, masih kurang memahami bagaimana mengintegrasikan teknologi ke dalam praktik mengajar mereka untuk mengoptimalkan hasil belajar siswa. Tujuan dari kegiatan pengabdian masyarakat ini adalah untuk memberikan pengetahuan, keterampilan, dan kesadaran kepada guru Bahasa Inggris sebagai Bahasa Asing (EFL) tentang sumber belajar digital yang dapat dimanfaatkan secara optimal untuk meningkatkan hasil belajar mereka serta mengintegrasikan teknologi ke dalam RPP. Metode pelaksanaan kegiatan tersebut terutama melalui ceramah, latihan, dan pemberian tugas. Hasil penelitian menunjukkan bahwa peserta mengalami peningkatan pengetahuan, keterampilan, dan kesadaran dalam menggunakan sumber belajar digital dengan creative common license. Hasil juga menunjukkan bahwa pemahaman guru EFL tentang mengintegrasikan teknologi ke dalam rencana pelajaran mereka meningkat.
Kata kunci : guru EFL; lisensi kreatif umum; rencana belajar; integrasi teknologi
Abstract:Abstract: Improving the competence of English teachers is necessary to make English learners more qualified. Technological developments and the demands of the global era have created problems in ELT, one of which is the…
limited competence of teachers to conduct creative and innovative learning. Training is one solution to improve teachers’ pedagogical competence in implementing learning. Innovative and Creative-Based Training is training to develop teacher pedagogical competence in learning English through technology integration in the classroom. The training is attended by English teachers online. The training presents some materials on social media and technology for teaching English. The training participants reported that their knowledge of how to teach creatively and innovatively through integrating technology in the classroom improved after attending this training. This report is obtained from analyzing the questionnaire results after the training activities.
Keywords: pedagogic competence, innovative, creative, learning
Abstrak: Peningkatan kompetensi guru Bahasa Inggris menjadi suatu kebutuhan dalam upaya menjadikan pembelajaran bahasa Inggris yang lebih berkualitas. Perkembangan teknologi dan tuntutan jaman meninggalkan beberapa masalah, salah satunya adalah keterbatasan kompetensi guru untuk melaksanakan pembelajaran yang kreatif dan inovatif. Pelatihan menjadi salah satu solusi meningkatkan kompetensi pedagogik guru dalam melaksanakan pembelajaran. Innovative and Creative Based Training merupakan pelatihan pengembangan kompetensi pedagogik guru dalam pembelajaran bahasa Inggris melalui integrasi teknologi di kelas. Pelatihan diikuti oleh guru bahasa Inggris SMP dan SMA sederajat di Kabupaten Purbalingga. Kegiatan pelatihan di-lakukan secara daring atau online. Pelatihan menyajikan materi tentang penggunaan media sosial dan teknologi untuk pengajaran Bahasa Inggris. Peserta pelatihan menyampaikan bahwa setelah mengikuti pelatiahn ini pengetahuan mereka terkait bagaimana mengajar yang kreatif dan inovatif melalui integrasi teknologi di kelas. Hal ini diperoleh dari analisis hasil angket yang diberikan setelah kegiatan pelatihan.
Kata kunci: kompetensi; kreatif; inovatif; pedagogik; pembelajaran
Abstract:Nowadays almost all aspects of life use technology. Progress in technology will also be accompanied by developments in information and communication technology. The development of technology and communication using internet…
net media that is widely used today is social media. Some people use social media for means of social integration, communication and publicizing activities, but in its development social media can also be used for business activities in terms of promotion and marketing. The use of social media for business activities has a very positive impact on improving the welfare of the community economically. To achieve these objectives, training and coaching to the public regarding the use of social media are held. The training was carried out at the Pesona Rhabayu Housing Community of Patam Lestari Village, Sekupang District, Batam. The training was conducted by monitoring and tutorials on how to use social media properly, including information dissemination on the Information and Electronic Transaction Law (UU ITE) so that the community has a legal basis for using social media. The first result of this dedication is that people's understanding of the ITE Law can be seen from discussions and questions and answers, secondly, people's ability to access and utilize social media for business facilities by forming a social media group as a forum for the community to promote their efforts.
Keywords: Law, social media and ITE
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: Rehabilitation programs are essential in correctional systems to equip inmates with the skills and behavioral readiness required for social reintegration. However, rehabilitation program assignment in many correctional…
ectional institutions remains dependent on manual and subjective assessments, which may result in inconsistent decisions. This study develops a Random Forest–based prediction system to support objective and data-driven rehabilitation program determination. A quantitative approach was applied using historical inmate data from January 2023 to January 2025, comprising 2,023 records. The research process included data preprocessing, an 80:20 training–testing split, model training, and performance evaluation using accuracy, precision, recall, and F1-score metrics. The results show that the model achieved an accuracy of 86.17% during training in Google Colab and 68.83% when deployed within the application system. This performance gap reflects real-world deployment and computational constraints rather than model failure. The proposed system provides consistent and objective rehabilitation program recommendations, thereby supporting more effective rehabilitation planning and decision-making in correctional institutions.
Keywords: correctional institutions; inmate rehabilitation programs; machine learning; random Forest; prediction system
Abstrak: Program pembinaan narapidana memiliki peran penting dalam sistem pemasyarakatan untuk membekali warga binaan dengan keterampilan serta kesiapan perilaku dalam proses reintegrasi ke masyarakat. Namun, pada banyak lembaga pemasyarakatan, penentuan program pembinaan masih bergantung pada penilaian manual yang bersifat subjektif, sehingga berpotensi menimbulkan ketidakkonsistenan dalam pengambilan keputusan. Penelitian ini mengembangkan sistem prediksi program pembinaan narapidana berbasis algoritma Random Forest guna mendukung pengambilan keputusan yang objektif dan berbasis data. Pendekatan kuantitatif diterapkan menggunakan data historis narapidana periode Januari 2023 hingga Januari 2025 sebanyak 2.023 data. Tahapan penelitian meliputi prapemrosesan data, pembagian data latih dan uji dengan rasio 80:20, pelatihan model, serta evaluasi performa menggunakan metrik akurasi, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa model mencapai akurasi sebesar 86,17% pada tahap pelatihan di Google Colab dan 68,83% saat diimplementasikan pada sistem aplikasi. Perbedaan performa tersebut mencerminkan keterbatasan lingkungan operasional, bukan kegagalan model. Secara keseluruhan, sistem yang dikembangkan mampu memberikan rekomendasi program pembinaan yang lebih objektif dan konsisten, sehingga mendukung perencanaan pembinaan yang lebih efektif.
Kata kunci: mesin pembelajaran; program pembinaan narapidana; random Forest; sistem pemasyarakatan; sistem prediksi
Abstract:Abstract: The Academic Information System (SIAKAD) plays an important role in supporting the management of academic administration in higher education institutions, particularly for students. ABC University has implemented…
ed SIAKAD since 2018 to facilitate administrative ativities in line with its motto of a high technology campus. This study aims to measure the sucess of SIAKAD usage from the aspects of acceptance, satisfaction, suitability, and perceived benefits. The integration of the Unified Theory of Acceptance and Use of Technology (UTAUT), DeLone & McLean, and Task Technology Fit (TTF) models was carried out to obain a more comprehensive overview in assessing the success of SIAKAD. UTAUT explains the factors influencing the intention to use, DeLone & McLean emphasizes the relationship between system quality and both user satisfaction and net benefits, while TTF evaluates the fit between technology and user tasks. By combining these three models, the study addresses the limitations of each model and produces a more holistic approach in measuring acceptance, success, and the appropriateness of system use. The testing was conducted using SPSS and Structural Equation Modeling (SEM) analysis through AMOS.
Keywords: siakad; utaut; delone&mclean; penerimaan teknologi; sem
Abstract:Abstract: Land registration in Indonesia often encounters challenges in transparency, data integrity, and centralized bureaucracy. Manual and semi-digital systems remain vulnerable to manipulation and delays. The National…
l Land Agency has initiated digitalization, but several challenges remain, particularly in ensuring transparency, efficiency, and security of land ownership data. Blockchain technology offers a potential solution through its decentralized and immutable characteristics. This study adopted a design and development method consisting of system analysis, requirements identification, architecture design, implementation, and black-box testing. The developed decentralized application (DApp) integrates smart contracts, NFTs, and IPFS to manage land certificates. Core functions such as minting, transfer, splitting, and self-custody were implemented and successfully tested, with all scenarios producing expected results. The findings demonstrate that blockchain integration can enhance security, reduce duplication, and streamline land administration. The study contributes a functional prototype with practical implications for modernizing land registration in Indonesia while identifying scalability and regulatory adaptation as areas for further research.
Keywords: blockchain; decentralized application; land registration; NFT; smart contract.
Abstract:Abstract: This study aims to develop a Deep Learning-based Traffic Flow Detector to automatically and accurately observe traffic flow. Conventional traffic observation is often conducted manually or via CCTV, but it is prone…
rone to human error and difficult to use for real-time trend analysis. In this study, the YOLOv4 method is used to detect four types of vehicles (cars, motorcycles, buses, trucks). To continuously track vehicle movement and address occlusion issues, the Deep SORT algorithm is implemented. The YOLOv4 model used is a pre-trained model and was tested on seven CCTV video recordings obtained from the official website of the Pekanbaru City Transportation Department. The system was implemented on a limited device, the Nvidia Jetson Nano, as a simulation of direct CCTV integration. Test results showed a highest precision of 98%, but the maximum accuracy achieved was only 26%. This low accuracy is influenced by several factors, including video resolution, detection model quality, and lighting conditions. Nevertheless, the system demonstrates potential to support future traffic management and engineering decisions but still requires further optimization, including improving video resolution and quality, retraining the model with a more representative local dataset, using lighter and more accurate detection models, and optimizing the tracking algorithm.
Keywords: deep learning; deepsort; NVIDIA Jetson NANO; traffic flow; YOLOv4
Abstrak: Penelitian ini bertujuan mengembangkan Traffic Flow Detector berbasis Deep Learning untuk mengobservasi arus lalu lintas secara otomatis dan akurat. Observasi lalu lintas konvensional sering dilakukan secara manual atau melalui CCTV, namun rentan terhadap human error dan sulit digunakan untuk menganalisis tren secara real-time. Pada penelitian ini digunakan metode YOLOv4 untuk mendeteksi empat jenis kendaraan (mobil, motor, bus, truk). Untuk melacak pergerakan kendaraan secara berkelanjutan dan mengatasi masalah occlusion, digunakan algoritma Deep SORT. Model YOLOv4 yang digunakan merupakan pre-trained model dan diujikan pada tujuh rekaman video CCTV yang diambil dari situs resmi Dinas Perhubungan Kota Pekanbaru. Sistem ini diimplementasikan pada perangkat terbatas Nvidia Jetson Nano sebagai simulasi penerapan langsung pada CCTV. Hasil pengujian menunjukkan presisi tertinggi mencapai 98%, namun akurasi tertingginya hanya sebesar 26%. Rendahnya akurasi dipengaruhi oleh beberapa faktor seperti resolusi video, kualitas model deteksi, serta kondisi pencahayaan. Meski demikian, sistem ini menunjukkan potensi untuk membantu pengambilan keputusan dalam manajemen dan rekayasa lalu lintas di masa depan, namun masih membutuhkan optimasi lebih lanjut, seperti peningkatan kualitas video input, pelatihan ulang model dengan dataset lokal, penggunaan model deteksi yang lebih ringan dan akurat serta pengoptimalan algoritma pelacakan.
Kata kunci: deep learning deepsort; Nvidia Jetson Nano; traffic flow; YOLOv4