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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Pembangunan Berkelanjutan Informatik : Jurnal Ilmu Komputer Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Abdimas Mandiri Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Madani : Indonesian Journal of Civil Society Pena : Jurnal Ilmu Pengetahuan dan Teknologi Indian Journal of Forensic Medicine & Toxicology Jurnal IMAJI LOSARI: Jurnal Pengabdian Kepada Masyarakat Jurnal Mahasiswa Sistem Informasi (JMSI) JEBDEKER: Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur Jurnal Informasi Sains dan Teknologi (ISAINTEK) Journal of Fish Health Journal of Scientific Research, Education, and Technology AMMA : Jurnal Pengabdian Masyarakat Social Impact Journal Journal on Education and Teacher Professionalism Jurnal Ilmu Komunikasi dan Sosial Politik Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Intelligent Networks and IoT Global Kanigara Jurnal Mitra Teknik Industri EDUCATIONE: Journal of Education Research and Review JENGGALA: Jurnal Riset Pengembangan dan Pelayanan Kesehatan Jurnal Ticom: Technology of Information and Communication Kreativasi: Journal of Community Empowerment BRIDGE: The Multidisciplinary Research Portal Media Journal of General Computer Science (MJGCS) Journal of Informatics and Information Security Jurnal Pengabdian Masyarakat Tekno Jurnal Pengabdian Kepada Masyarakat Ilmu Komunikasi LANCAH Jurnal Inovasi dan Tren Aksi Kita: Jurnal Pengabdian Kepada Masyarakat DEEP LEARNING: Journal of Educational Research Welvaart: Jurnal Ilmu Kesejahteraan Sosial Teknofile, Jurnal Sistem Informasi Abdimas, Jurnal Pengabdian Masyarakat Jurnal Kajian Ekonomi dan Perbankan Syariah
Ferdiansyah
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PENGARUH PENGGUNAAN VIDEO PEMBELAJARAN TERHADAP MOTIVASI BELAJAR SISWA KELAS IV SD Ferdiansyah; Haifaturrahmah; Syafrudin Muhdar
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025 Terbit
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i04.34940

Abstract

The use of instructional videos has become an innovation in education to increase student learning motivation, particularly at the elementary school level. This study aims to examine the effect of using instructional videos on the learning motivation of fourth-grade elementary school students. Based on a literature review and empirical studies, it was found that instructional videos have a significant positive impact on learning motivation. This medium can increase student enthusiasm, engagement, and curiosity through interactive and visual presentation of material. Empirical research shows an increase in motivation scores from pretest to posttest after video implementation, supported by theories such as Edgar Dale's Cone of Experience and multimedia learning theory. However, video effectiveness depends on production quality, duration, and integration with the curriculum. Challenges such as limited access to technology in certain areas also need to be addressed. The results of this study recommend the use of instructional videos as an effective strategy to increase the learning motivation of fourth-grade elementary school students, with suggestions for further research to explore optimal video types and their long-term impact on academic achievement. Keywords: Instructional Videos, Learning Motivation, Fourth-Grade Elementary School Students, Instructional Media, Educational Technology.
IoT-Based Fire Detection System Using ESP32 and Telegram Cahyadi, Hartanto Dwi; Tasmi; Muhammad Gald Teary; Ferdiansyah
Media Journal of General Computer Science Vol. 3 No. 1 (2026): MJGCS
Publisher : MASE - Media Applied and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62205/mjgcs.v3i1.146

Abstract

The increasing adoption of artificial intelligence (AI) in educational technology has created new opportunities to support second language (L2) writing development. Beginner English learners often struggle with grammatical accuracy, limited vocabulary, and unclear sentence construction, while immediate and individualized feedback remains difficult to provide in traditional learning settings. This study proposes a rule-based AI writing assistant designed to deliver automated, transparent, and interpretable feedback for beginner-level English writing without relying on data-intensive machine learning models. The system employs symbolic AI principles through predefined grammatical rules and heuristic textual metrics to evaluate writing quality across three dimensions: grammar accuracy, vocabulary richness, and text clarity. Grammar errors are detected using regular expression-based rules, vocabulary quality is measured via lexical diversity ratios, and clarity is estimated using a length-based heuristic. These metrics are normalized and combined to produce an overall writing quality score. To enhance usability and learner engagement, the system integrates visual feedback elements, including progress bars, graphical score representations, and animated character responses. Functional testing using sample beginner texts demonstrates that the proposed system effectively identifies common writing issues, provides consistent scoring, and delivers immediate, explainable feedback. The results indicate that rule-based AI, when combined with visual feedback mechanisms, can offer a lightweight, efficient, and pedagogically meaningful solution for beginner English writing support. This approach is particularly suitable for educational contexts that prioritize explainability, accessibility, and low computational requirements.
Pelatihan Pemanfaatan Artificial Intelligence Dalam Pembuatan Konten Media Sosial Untuk Publikasi Kegiatan Karang Taruna RT 07 Kelurahan Duri Pulo, Kecamatan Gambir, Jakarta Pusat Pramusinto, Wahyu; Susanti, Ika; Trya Sartana, Bruri; Ferdiansyah; Waluyo, Sejati
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 12 : Januari (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Karang Taruna, as a forum for developing the younger generation, has a strategic role in developing creativity, cohesiveness, and social participation of youth at the RT/RW to sub-district levels. Various social, environmental, youth, and entrepreneurial activities have been carried out regularly; however, the use of social media to document and publicize these activities has not been carried out optimally. In the digital era, the ability to produce interesting and relevant activity content is an important need to increase the visibility of Karang Taruna's activities while encouraging youth involvement. The problem faced is how to determine and manage content in a good and sustainable manner, as well as how to utilize Artificial Intelligence (AI) technology as a tool to help produce social media content. As a solution to this problem, this Community Service activity was designed in the form of training on the use of AI in creating social media content for Karang Taruna activities. Utilizing existing social media, as well as how to manage and create content in a productive and interesting way. Through this training, Karang Taruna members are expected to be able to produce better activity content, increase publication of organizational activities, strengthen internal cohesion, and increase youth participation in every activity carried out.
Firm Size, Corporate Social Responsibility, and Tax Avoidance: Evidence from the Consumer Non-Cyclicals Sector in Indonesia Dwi Septiani; Ferdiansyah
Pena: Jurnal Ilmu Pengetahuan dan Teknologi Vol. 39 No. 2 (2025): PENA SEPTEMBER 2025
Publisher : LPPM Universitas Pekalongan

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Abstract

This study investigates the influence of firm size and corporate social responsibility (CSR) on tax avoidance among companies in Indonesia's consumer non-cyclicals sector, a subject gaining importance amid growing scrutiny of corporate tax practices. Integrating agency theory and legitimacy theory, the research aims to understand how external oversight and the pursuit of social legitimacy shape tax behavior, particularly in a context that remains underexplored in Indonesia. Utilizing a quantitative approach, the study analyzes panel data from 30 companies listed on the Indonesia Stock Exchange (IDX) during the period 2019 to 2023. Tax avoidance is proxied by the effective tax rate (ETR), CSR is measured using a GRI-based disclosure index, and firm size is assessed through the natural logarithm of total assets. Multiple linear regression was employed following model selection and classical assumption testing. The findings reveal that CSR has a significant negative effect on tax avoidance, whereas firm size does not exhibit a partial effect. However, both variables jointly influence tax avoidance significantly. These results underscore the role of CSR in promoting ethical corporate behavior and suggest that regulators and stakeholders should actively encourage CSR initiatives to enhance tax compliance and corporate transparency.
Sistem Deteksi Cerdas Warna Pakaian Dosen Berdasarkan Jadwal Menggunakan YOLOv8 Pratama, Aji; Sunardi, Hastha; Ferdiansyah
Journal Of Intelligent Networks and IoT Global Vol 3 No 2 (2025)
Publisher : Universitas Indo Global Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jinig.v3i2.6591

Abstract

Penelitian ini menyajikan pengembangan sistem pemantauan cerdas secara real-time untuk mengevaluasi kepatuhan dosen terhadap kebijakan aturan pakaian institusi menggunakan algoritma deteksi objek YOLOv8. Sistem ini dirancang untuk secara otomatis mengidentifikasi warna dominan pada pakaian dosen, memverifikasi keberadaan motif atau logo resmi institusi, serta mencocokkannya dengan jadwal aturan pakaian harian. Dataset khusus dikumpulkan dan dianotasi melalui Roboflow, yang terdiri dari kategori warna, variasi motif, logo institusi, dan data identitas wajah untuk keperluan verifikasi dosen. Model YOLOv8 dilatih agar mampu mendeteksi atribut pakaian secara akurat, sementara modul tambahan berbasis Python digunakan untuk mencocokkan fitur yang terdeteksi dengan aturan pakaian harian. Pengujian real-time dilakukan menggunakan input CCTV pada berbagai kondisi pencahayaan dan latar belakang. Sistem menunjukkan kinerja yang stabil dalam mendeteksi warna dan mencocokkannya dengan aturan, dengan hasil yang konsisten pada lingkungan dalam ruangan. Penelitian ini menawarkan pendekatan praktis dan inovatif untuk mengotomasi penegakan aturan pakaian di lingkungan akademik. Metode yang diusulkan menyediakan kerangka kerja yang efisien untuk mengintegrasikan solusi computer vision ke dalam kebutuhan operasional kampus dan berpotensi dikembangkan lebih lanjut untuk sistem monitoring kepatuhan dan kedisiplinan yang lebih luas
Prediksi Cuaca Menggunakan Sensor Cahaya, Kecepatan Angin, dan Arah Angin dengan Metode Neuro-Fuzzy Billanivo, Reynaldi Rizki; Fajri, Ricky Maulana; Tasmi; Ferdiansyah
Journal Of Intelligent Networks and IoT Global Vol 3 No 2 (2025)
Publisher : Universitas Indo Global Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jinig.v3i2.6592

Abstract

Prediksi cuaca merupakan elemen yang sangat penting dalam berbagai sektor, termasuk pertanian dan transportasi. Salah satu contohnya adalah membantu petani untuk menunda penanaman tanaman sebelum hujan deras terjadi. Penelitian ini menggunakan metode Neuro-Fuzzy yang dipadukan dengan tiga jenis sensor yakni sensor cahaya, sensor kecepatan angin, dan sensor arah angin, yang digunakan untuk peramalan meteorologi. Penelitian ini memanfaatkan dataset Misol dan dataset BMKG. Model Neuro-Fuzzy mencapai akurasi rata-rata sebesar 0,71, presisi 0,4075, recall 0,3185, dan skor F1 sebesar 0,337.
PERBAIKAN TATA LETAK IKM VULKANISIR BAN GUNUNG TIMUR DI KOTA DUMAI Ferdiansyah; Fitra; Rohman, Habibur; M.Fathir N.A
Jurnal Mitra Teknik Industri Vol. 4 No. 3 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmti.v4i3.36313

Abstract

Gunung Timur Tire Retreading SME, located in West Dumai District, Dumai City, is experiencing inefficiencies in its facility layout. These inefficiencies result in irregular workflows, longer material handling distances, and suboptimal space utilization, which directly affect operational efficiency and productivity. This study aims to improve the facility layout to enhance workflow efficiency through the application of the Systematic Layout Planning (SLP) method and a graph-based approach. The research process includes field data collection, preparation of the operation process chart, from-to chart, activity relationship chart, relationship diagram, space requirement calculation, as well as the design and evaluation of alternative layouts. The analysis results show that the proposed layout using the SLP method reduced the total material handling distance from 545.71 meters to 346.8 meters, while the layout using the graph-based method resulted in a distance of 391.3 meters. The layout proposed using the SLP method demonstrated the highest efficiency, achieving a 36.45% reduction in material handling distance, improved workflow organization, and more optimal space utilization. Eventually, the implementation of the SLP method offers a strategic solution to improve the operational efficiency and productivity of the tire retreading IKM.
Pendampingan Konsultan Teknik dalam Pencacahan dan Analisis Lalulintas Harian Rata-Rata (LHR) Bastam, Mukhlis Nahriri; Nurmeyliandari, Revianty; Hamim, Sumi Amariena; Usman, Fatoni; Minaka, Utari Sriwijaya; Endrayana, Dimas Bayu; Ferdiansyah; Taufiqurrahman, Muhammad
Jurnal Abdimas Mandiri Vol. 9 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v9i3.6023

Abstract

Pertumbuhan jumlah penduduk dan kendaraan bermotor di Indonesia menyebabkan meningkatnya kebutuhan mobilitas serta kompleksitas permasalahan lalu lintas, seperti kemacetan, kecelakaan, dan ketidakpastian waktu tempuh. Salah satu aspek penting dalam mendukung perencanaan dan rekayasa transportasi adalah analisis Lalu Lintas Harian Rata-rata (LHR), yang menjadi dasar perhitungan kapasitas jalan, perencanaan simpang, hingga studi kelayakan transportasi. Namun, masih banyak konsultan teknik di daerah yang menghadapi keterbatasan dalam melakukan survei, pengolahan data, serta perhitungan LHR sesuai standar. Menjawab kebutuhan tersebut, kegiatan pengabdian masyarakat ini dilaksanakan bersama CV. DESAIN TEKNIK Palembang dengan tujuan meningkatkan kompetensi konsultan teknik dalam analisis LHR. Metode pelaksanaan dirancang secara sistematis melalui tahapan identifikasi kebutuhan mitra, penyusunan materi dan instrumen pelatihan, pelaksanaan workshop berbasis teori dan praktik, studi kasus lapangan, serta evaluasi menggunakan pretest dan posttest. Hasil kegiatan menunjukkan adanya peningkatan signifikan pada pemahaman dan keterampilan peserta. Nilai rata-rata pretest sebesar 58,3 meningkat menjadi 82,0 pada posttest, dengan peningkatan rata-rata +23,7 poin. Selain itu, peserta mampu mengolah data lalu lintas menjadi LHR dengan lebih tepat serta menginterpretasikan hasilnya untuk mendukung pengambilan keputusan teknis. Dengan demikian, kegiatan pendampingan ini berkontribusi dalam meningkatkan kapasitas konsultan teknik di bidang transportasi, sekaligus mendukung terciptanya perencanaan dan rekayasa lalu lintas yang lebih efektif, akurat, dan berkelanjutan.
IoT-Based Real-Time Monitoring and Energy Consumption Analysis for Residential Electrical Systems Ferdiansyah; Salim Wardana, Agus
BRIDGE : The Multidisciplinary Research Portal Vol. 3 No. 1 (2025): JANUARY (I)
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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

Abstract

The growing demand for efficient and transparent household energy management has increased the need for accurate, real-time electricity monitoring systems. This study presents the design, implementation, and experimental validation of an Internet of Things (IoT)-based system for real-time monitoring and analysis of residential electrical energy consumption. The proposed system integrates voltage and current sensing with wireless data transmission to measure voltage, current, instantaneous power, energy consumption (kWh), power factor, and electricity cost estimation, with data displayed locally and remotely through a cloud-based platform. An experimental methodology was employed to evaluate system performance using various household appliances representing resistive and inductive loads. Measurement accuracy was assessed by comparison with calibrated reference instruments, yielding an average voltage error of 0.30% and current error of 0.28%, indicating high precision suitable for residential applications. The results reveal significant variation in energy consumption across appliances, highlighting inefficient loads with disproportionate energy usage. The system demonstrates stable data synchronization between local and remote interfaces with acceptable transmission latency, and incorporates automated load control to support demand-side energy management. This study contributes to the field of smart energy systems by providing a cost-effective, accurate, and scalable IoT-based solution for appliance-level energy monitoring and consumption analysis. The proposed approach offers practical insights for data-driven energy conservation, supports predictive energy management strategies, and aligns with global efforts toward sustainable and intelligent residential power systems.
Co-Authors Adawiyah, Rabiatun Adek Warisah Matondang Adhika Surya, Gilang Aditya Septiawan Putra Afriana, Renny Afriliansyah Ahmad Fahmi Ahmadin Akbar Lufi Zulfikar Alifia Nabila Ambiyar, Ambiyar Amelia Saputri Amin Tunda Andri Muda Nasution Apriansyah, Miko Arafat Ardita, Lola Ari Fajria Novari Ariana Armila Aini Arnita Sri Anggraeni Atnang, Muhammad Ayu Sri Wahyuni Az Zahra Talitha Kusumaningrum Azhar Ubaidillah Badruzzaman, Falah Bastam, Mukhlis Nahriri Bella Nur Syifa Syahrul Billanivo, Reynaldi Rizki Bilqis Nur Amalia Cahyadi, Hartanto Dwi Cheriani Cita Rosita Sigit Prakoeswa Dahlia Permata Sari Danang Prabowo David Oktavianus Royandi, Made Dhini Abizah Dwi Budi Srisulistiowati Dwi Noerjoedianto Dwi Septiani Dwi, Guspianto Dwikora Novembri Utomo Dzakiyah Aflah Dzulkifli Endrayana, Dimas Bayu Fahmi Rizal Fatahu Mughniy, M.Abdi Fedik Abdul Rantam Firda Fitra Gusti Anggit Yata Zaka Habibur Rohman Haifaturrahmah, Haifaturrahmah Hamim, Sumi Amariena Hana Rahmawati Zen Hanum, Nurfadillah Hari Basuki Notobroto Hasnul Habib Rangkuti Heri Suroto Ika Susanti Ika Susanti Ikka Wulandari Ira Sentiawati JAMALUDIN Jauhari, Muhammad Nurrohman Juwita Nurqomariah Kelvin Khairil Azhar La Ode Monto Bauto Lis Suryadi, Lis Loui Pattinama, Yohannes Lutfi Isni Badiah M. Giatman M.Fathir N.A Maesaroh, Syti Sarah Malli, Lady Sisilia Marda Mawarni, Ayu Miizan Nur Qisthi Minaka, Utari Sriwijaya Muhammad Gald Teary Muhammad Keanu Haekal Muhammad Naufal Nurfirmansyah Muhammad Ridho Wardhana Muhammad Safi`i Handika Lubis Muhammad Taufiqurrahman, Muhammad Muhlis Tahir Mujito Nahirah Nasya Fatika Augusta Nia Uswatul Hasanah Nizwardi Jalinus Notonegoro, Hartoyo Nur Azizah Nur Azizah Mawar Andini Nur Azizyah Puteri Dewita Nur Lela sari Nur, Muhammad Awal Nurmeyliandari, Revianty Painem Pramadjaya, Angga Pratama, Aji Puan Achmad Alisyahbuni Pujianto Rahmadhona Fitri Helmi Rangga Gelar Guntara Rangga Gumelar Ranti Sania Rahmi Ratna Sari Reski Awaliah Ricky Maulana Fajri Ridho Aqil Zakariya RINI Rio Taofan Rismal Saktiawan Rizdki Elang Gumelar Rizki Wiriadinata, Saddam Romaniyanto Salim Wardana, Agus Sara, Dwi Satriani Sejati Waluyo Siti Mulyana Lubis Siti Rohimah Sri Rejeki Sudirman Baso Sunardi, Hastha SUNARTO Surtiyoni, Endang Syafrudin Muhdar Tasmi Thamrin Tita Mutmainna Trya Sartana, Bruri Usman, Fatoni Wahyu Pramusinto Wahyu Pramusinto Waluyo, Sejati Yayang Saputra Yulia Hanoselina Yusmi Zulfahmi