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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Applied Power Engineering (IJAPE) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Sinergi Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Bulletin of Electrical Engineering and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer INTEGER: Journal of Information Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan TIJAB (The International Journal of Applied Business) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Abdimasku : Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Journal of Vocational Nursing Jurnal Nasional Pengabdian Masyarakat ALINIER: Journal of Artificial Intelligence & Applications Jurnal Sistim Informasi dan Teknologi Jurnal Ilmiah Hospitality Management Jurnal Rekayasa elektrika RENATA Jurnal Pengabdian Masyarakat Kita Semua JGEN : Jurnal Pengabdian Kepada Masyarakat
Firdaus, Aji Akbar
Department Of Engineering, Faculty Of Vocational, Universitas Airlangga, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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VIRTUAL REALITY-BASED DIGITAL MARKETING DEVELOPMENT TRAINING FOR THE TOURISM AWARENESS GROUP OF TROWULAN TOURISM VILLAGE, MOJOKERTO REGENCY Kristanto, Damar; Aji, Gagas Gayuh; Kirana, Angkita Wasito; Suharno, Novianto Edi; Suharto, Bambang; Firdaus, Aji Akbar; Permatasari, Maurisia Putri
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 8 No. 1 (2024): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jlm.v8i1.2024.001-011

Abstract

The COVID-19 pandemic has had a profound impact on the tourism industry since its emergence in late 2019. Visitor restrictions have led to a significant decline in activity across various sub-sectors of tourism, and prospective travelers have experienced burnout due to isolation. In such a situation, the digital industry has emerged as a rapid and interim solution. One intriguing digital technology that has garnered attention is Virtual Reality (VR). These efforts have been undertaken to ensure the sustainability of tourism destinations, and VR technology has piqued the interest of potential tourists. Despite its effective role in virtual promotion and learning, particularly for cultural heritage and archaeological sites like the Trowulan Site, stakeholders need to be supported through education on immersive technologies such as VR and their utilization in tourism and education, especially in the field of history. The adoption of VR technology in tourism destinations has experienced significant growth, but issues have arisen due to the lack of Human Resources (HR) related to VR Tourism content creation. As a result, the presentation of VR Tourism experiences has been delayed in terms of content updates, which can have a detrimental impact on the image of the tourism destination, potentially undermining its full potential. Awareness of this issue has been recognized by the Tourism Awareness Group (Pokdarwis) Ladewa, a stakeholder involved in the management of tourism destinations and travel packages in the Trowulan region. To address this issue, a proposed solution involves training related to VR Tourism and Social Media Content Creation as part of the digital marketing strategy for the tourism destination. This training will primarily focus on tourism themes with a sub-theme of enhancing the capacity of the Tourism Awareness Group (POKDARWIS) LADEWA.
Pelatihan Pemasaran Virtual 360 Eco-Heritage pada Kelompok Sadar Wisata Desa Trowulan Kabupaten Mojokerto Kinasih, Sri Endah; Aly, M. Nilzam; Firdaus, Aji Akbar
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 1 (2024): JANUARI 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i1.1879

Abstract

Teknologi virtual tour mencapai puncak saat terjadi pandemi covid-19 dan menjadi solusi untuk tetap berwisata meskipun secara virtual saat ada pembatasan aktifitas. Virtual tour juga menjadi solusi untuk tetap menjaga objek wisata cagar budaya (heritage tourism) dari kerusakan sehingga bisa dikelola secara berkelanjutan. Pemasaran digital menjadi metode yang penting untuk diterapkan dalam pembuatan virtual tour. Sehingga pelaku industri pariwisata seperti pokdarwis bisa memaksimalkan metode ini. Sehingga perlu diadakan pengabdian kepada masyarakat terkait pembuatan virtual tour dan pemasaran digital untuk penguatan pariwisata berkelanjutan. Sasaran kegiatan pengabdian masyarakat ini adalah Pokdarwis Ladewa di Desa Trowulan, Kecamatan Trowulan, Kabupaten Mojokerto. Tujuan dari kegiatan pengabdian masyarakat ini adalah untuk meningkatkan kemampuan pemuda yang tergabung dalam organisasi pokdarwis dalam memasarkan situs cagar budaya di Desa Trowulan melalui pembuatan virtual tour 3600 berbasis eco-heritage. Metode yang digunakan adalah dalam kegiatan ini adalah ceramah, tanya jawab, diskusi, simulasi, dan praktek pemasaran digital berbasis media sosial dan pembuatan virtual tour 3600. Produk yang dihasilkan dari kegiatan ini adalah virtual tour 3600 yang dapat diakses di website dan masyarkat meningkat kompetensinya di bidang pemasaran digital dan virtual tour 3600
PENGUATAN PEMASARAN VIRTUAL ECOTOURISM BAGI KELOMPOK SADAR WISATA DI DESA PATAAN, KABUPATEN LAMONGAN Aly, M. Nilzam; Kristanto, Damar; Aji, Gagas Gayuh; Sinulingga, Rizky Amalia; Firdaus, Aji Akbar; Kirana, Angkita Wasito; Suharto, Bambang
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024): Volume 5 No 1 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i1.26232

Abstract

Perkembangan teknologi informasi memberi perubahan bagi pertumbuhan ekonomi. Semakin beragam dan mudah informasi yang didapatkan mengakibatkan pertumbuhan ekonomi semakin pesat. Teknologi informasi saat ini tentu membutuhkan sebuah jaringan internet. Sebagian besar masyarakat era 4.0 sekarang ini sudah mengikuti perkembangan teknologi yang pesat, sehingga semua aspek kehidupan dominan mengunakan tekonologi yang canggih khususnya di bidang pariwisata. Tetapi kondisi ini perlu disikapi dengan tetap mengedepankan aspek pengembangan sumber daya manusia dalam memanfaatkan teknologi. Upaya peningkatan kualitas manusia Indonesia dalam mencapai Visi Indonesia Emas 2045 menjadi fokus kebijakan pemerintah. Hal ini tercermin Rencana Kerja Pemerintah (RKP) tahun 2023, yaitu “Peningkatan SDM untuk Pertumbuhan Berkualitas”. Tema ini sangat didukung oleh civitas perguruan tinggi dengan melakukan kegiatan pengabdian masyarakat melalui pelatihan penguatan pemasaran pariwisata virtual untuk Kelompok Sadar Wisata (Pokdarwis) Desa Pataan di Kabupaten Lamongan. Pengabdian masyarakat ini bertujuan untuk Peningkatan kualitas anggota pokdarwis dalam hal pembuatan konten pariwisata virtual dengan daya tarik ekowisata di Desa Pataan. Metode yang digunakan dalam kegiatan ini adalah pelatihan tentang pemasaran digital dan pendampingan penggunaan drone dan handphone untuk pembuatan konten virtual. Hasil dari kegiatan ini adalah peserta mampu secara terstruktur dan konsisten membuat konten virtual di media sosial milik pokdarwis Desa Pataan
YOLO vs. CNN Algorithms: A Comparative Study in Masked Face Recognition Dewanto, Muhammad Ridho; Farid, Mifta Nur; Rafdi Syah, Muhammad Abby; Firdaus, Aji Akbar; Arof, Hamzah
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.48723

Abstract

Purpose: This research investigates the effectiveness of YOLO (You Only Look Once) and Convolutional Neural Network (CNN) in real-time face mask recognition, addressing the challenges posed by mask-wearing in infectious disease prevention.Method: Utilizing a diverse dataset and employing YOLO's object detection and a combined Haar Cascade Algorithm with CNN, the study evaluated key performance indicators, including accuracy, framerate, and F1 Score.Results: Results indicated that CNN outperformed YOLO in accuracy (99.3% vs. 79.3%) but operated at a slightly lower framerate. YOLO excelled in recall and precision, presenting a compelling choice for specific application needs. The research underscores the importance of considering factors beyond accuracy for informed decision-making in the realm of face mask recognition.Novelty: This research evaluates the real-time performance of YOLO and CNN algorithms in masked face recognition, highlighting the crucial balance between framerate efficiency and detection accuracy.
Economic improvement and fish farming based on Smart Aquaculture Automatized System in Segobang Village, Banyuwangi Arif Habib Fasya; Hapsari Kenconojati; Darmawan Setia Budi; Suciyono Suciyono; Maria Agustina Pardede; Dwi Retna Kumalaningrum; Prayogo Prayogo; Eka Saputra; Aji Akbar Firdaus; Muhammad Hilmy Maulana; Dewi Ambarwati
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol. 10 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v10i1.14811

Abstract

The fisheries and marine sector in East Java has abundant potential, one of which is Banyuwangi district. Banyuwangi Regency has potential in freshwater aquaculture because it has 324 rivers with an area of 735 km2 and swamps and reservoirs of 60 hectares. One of the villages in Banyuwangi Regency is Segobang Village, which has the potential to have abundant water sources and continuous flow. This potential can be utilized by training and assisting fish nurseries in Segobang Village by utilizing continuously flowing water and Smart Aquaculture Automatized System (SAAS) technology by utilizing biofilters and running water and aeration as a source of oxygen.  The stages carried out in this community service are as follows: initial assessment of the location, infrastructure and technology development, periodic training and mentoring, implementation and monitoring of the cultivation process, and continued marketing and sales. After the training, the Segobang Village community showed a significant increase in knowledge. The average pre-test scores ranged from 30 to 51, while the post-test scores increased to 79 to 87. This improvement shows that participants better understand the SAAS and its use in fish farming. Continued training and practice can help strengthen the adoption of this technology in the community.
Penerapan Teknologi Mesin Pengering Gabah Untuk Mendukung Optimalisasi Produksi Kelompok Petani Padi Di Dusun Blawen, Kabupaten Jombang Elsyea Adia Tunggadewi; Sisca Dina Nur Nahdliyah; Riky Tri Yunardi; Deny Arifianto; Wilda Prihasty; Aji Akbar Firdaus; Eva Inaiyah Agustin
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 4 No. 1 (2026): Renata - April 2026
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.326

Abstract

Pengeringan gabah merupakan tahapan penting dalam proses pascapanen padi, namun metode tradisional yang mengandalkan sinar matahari masih menghadapi berbagai kendala, terutama ketergantungan pada kondisi cuaca dan durasi pengeringan yang panjang. Kegiatan pengabdian kepada masyarakat yang dilaksanakan pada 7 November 2025 di Dusun Blawen, Desa Rejoslamet, Kabupaten Jombang ini bertujuan memberikan solusi melalui penerapan teknologi mesin pengering gabah untuk meningkatkan efisiensi dan kualitas pengeringan. Metode Community Based Research (CBR) digunakan untuk mengidentifikasi permasalahan, merancang teknologi yang sesuai kebutuhan, melaksanakan pelatihan, dan melakukan evaluasi kinerja mesin. Mesin pengering yang dirancang memiliki kapasitas 5–25 kg, dilengkapi sistem pemantauan suhu dan berat gabah, serta mekanisme pemilah sekam. Hasil evaluasi menunjukkan mesin mampu mempertahankan suhu pengeringan pada kisaran 65–75 °C serta menghasilkan penurunan berat gabah yang konsisten. Berdasarkan perhitungan kadar air berbasis penurunan berat diperoleh sekitar 21–22% wb dalam 10 menit pengeringan, menunjukkan proses penguapan air telah berlangsung meskipun belum mencapai standar penyimpanan. Demonstrasi praktik juga mengidentifikasi beberapa aspek teknis yang perlu diperbaiki, seperti celah pada tutup drum dan efisiensi pemilahan sekam. Secara keseluruhan, program ini meningkatkan pemahaman teknis dan keterampilan operasional petani, serta memberikan dampak positif bagi peningkatan produktivitas dan keberlanjutan pengolahan pascapanen, sejalan dengan target Sustainable Development Goals (SDGs) khususnya Zero Hunger
Quantum binary particle swarm optimization for optimal on-load tap changing and power loss reduction Aji Akbar Firdaus; Irrine Budi Sulistiawati; Vicky Andria Kusuma; Dimas Fajar Uman Putra; Hamzah Arof; Novian Patria Uman Putra; Sena Sukmananda Suprapto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 2: April 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i2.25744

Abstract

Over time, there has been a continuous surge in the demand for electrical energy, necessitating the development of larger and more intricate electrical power networks. These extensive networks pose a significant challenge, primarily in the form of considerable loss of electrical energy, which, if not effectively addressed, may lead to persistent and imperceptible losses. In response to this challenge, this research proposes the application of quantum binary particle swarm optimization (QBPSO) for the coordinated management of on-load tap changers (OLTC) in loaded transformers within a distribution network, with a specific emphasis on reducing power losses. The experimental results demonstrate that the implementation of QBPSO results in a reduction of power loss from 21.756107 kW to 19.157321 kW and an increase in the average voltage from 19.00467941 kV to 19.93068 kV in a 20 kV 34-bus distribution network. This has the potential to significantly enhance overall system efficiency.
Short-term photovoltaics power forecasting using Jordan recurrent neural network in Surabaya Aji Akbar Firdaus; Riky Tri Yunardi; Eva Inaiyah Agustin; Tesa Eranti Putri; Dimas Okky Anggriawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14816

Abstract

Photovoltaic (PV) is a renewable electric energy generator that utilizes solar energy. PV is very suitable to be developed in Surabaya, Indonesia. Because Indonesia is located around the equator which has 2 seasons, namely the rainy season and the dry season. The dry season in Indonesia occurs in April to September. The power generated by PV is highly dependent on temperature and solar radiation. Therefore, accurate forecasting of short-term PV power is important for system reliability and large-scale PV development to overcome the power generated by intermittent PV. This paper proposes the Jordan recurrent neural network (JRNN) to predict short-term PV power based on temperature and solar radiation. JRNN is the development of artificial neural networks (ANN) that have feedback at each output of each layer. The samples of temperature and solar radiation were obtained from April until September in Surabaya. From the results of the training simulation, the mean square error (MSE) and mean absolute percentage error (MAPE) values were obtained at 1.3311 and 34.8820, respectively. The results of testing simulation, MSE and MAPE values were obtained at 0.9858 and 1.3311, with a time of 4.591204. The forecasting has minimized significant errors and short processing times.
Co-Authors Achmad Luki Satriawan Adi Soeprijanto Alim Prasaja Aly, Muhammad Nilzam Anang Budikarso Anang Tjahjono, Anang Andria Kusuma, Vicky Arof, Hamzah Asy'ari, Vaizal Azmita, Mimi Bambang Suharto Bambang Suharto Belgis, Belgis DARMAWAN SETIA BUDI Daud, Muhamad Zalani Deny Arifianto Dewanto, Muhammad Ridho Dewi Ambarwati Dimas Fajar U.P. Dimas Fajar Uman Putra Dimas Okky Anggriawan Dwi Retna Kumalaningrum Eka Prasetyono, Eka Eka Saputra Elsyea Adia Tunggadewi Endro Wahjono Eva Inaiyah Agustin Farid, Mifta Nur Fasya, Arif Habib Firillia Filliana Gagas Gayuh Aji, Gagas Gayuh Ginting, Ina Veronica Hadi Suyono Hadi Suyono Hamzah Arof Happy Aprillia Hidayatul Nurohmah Indhana Sudiharto Irrine Budi Sulistiawati Jenrychk Marcelino Tandi Karrang Kadek Juni Setiawati Kenconojati, Hapsari Kharis Sugiarto Khuria Kirana, Angkita Wasito Kristanto, Damar Kristanto, Damar Kurnia Wijaya Kusuma Li Wang Machrus Ali Mahmud Iwan Solihin Maria Agustina Pardede Maulana, Muhammad Hilmy Maurisia Putri Permatasari Mifta Nur Farid Mimi Azmita Muhaimin Muhaimin Muhammad Agung Nursyeha Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Nizhom Ramadhani Muhammad Ruswandi Djalal Nabila Salvaningtyas Nasa Zata Dina Novian Patria Uman Putra Novian Patria Uman Putra Novian Uman Putra Nuruddin Nuruddin Nyoman Juniarta, Nyoman Ontoseno Penangsang Prasaja, Alim Prayogo Prayogo Priyanto, Yun Tonce Kusuma Putra, Dimas Fajar Uman Putra, Wahyu Haryanto Putri, Rahmah Fadiyah Rachman Sinatriya Marjianto Rafdi Syah, Muhammad Abby Rahayu, Ragil Puji Rahmat Yuliawan Rajendran, Parvathy Risty Jayanti Yuniar Sena Sukmananda Suprapto Setiawati, Kadek Juni Sinulingga, Rizky Amalia Sisca Dina Nur Nahdliyah Sri Endah Kinasih Sri Endah Nurhidayati Suciyono, Suciyono Sugiarto, Kharis Suharno, Novianto Edi Suprapto, Sena Sukmananda Susanto, Fajar Annas Teguh Aryo Nugroho Teguh Herlambang Tesa Eranti Putri Trimulya, Hanif Uman Putra, Novian Patria Vicky Andria Kusuma Wilda Imama Sabilla Wilda Prihasty Winarno Winarno Winarno, Winarno Yanuar Mahfudz Safarudin Yuli Prasetyo Yunardi, Riky Tri