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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) Jurnal Nasional Pengabdian Masyarakat ALINIER: Journal of Artificial Intelligence & Applications Jurnal Sistim Informasi dan Teknologi Jurnal Ilmiah Hospitality Management Jurnal Rekayasa elektrika 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 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 Physics Public Health Social Sciences Transportation Other

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Predicting tourist arrivals to a tropical island using artificial intelligence Suharto, Bambang; Edi Suharno, Novianto; Sinatriya Marjianto, Rachman; Firdaus, Aji Akbar; Suprapto, Sena Sukmananda; Andria Kusuma, Vicky; Amalia Sinulingga, Rizky
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1022-1030

Abstract

This research leverages artificial intelligence (AI) techniques to develop a predictive model for forecasting tourist arrivals in East Java Province, Indonesia, using a comprehensive dataset encompassing historical tourism statistics from 2018 to 2020, seasonal trends, promotional campaigns, and various economic and social variables. The study evaluates three AI methodologies: artificial neural network (ANN), extreme learning machine (ELM), and Jordan recurrent neural network (JRNN), each known for their distinct strengths in processing complex data and adapting to changing trends. The comparative analysis reveals that the JRNN model outperforms others with the highest precision, achieving an average prediction deviation of just 2.98% from actual data, effectively capturing temporal and seasonal trends. The ANN follows closely with a deviation of 3.31%, showing strong capabilities in handling complex, nonlinear relationships. In contrast, the ELM, though fastest in training, exhibits a larger deviation of 10.51%, indicating a trade-off between speed and accuracy. These results highlight the potential of AI to significantly enhance the accuracy and operational efficiency of tourism forecasts, offering robust tools for stakeholders to engage in informed strategic planning and resource allocation in dynamic market conditions.
Economic improvement and fish farming based on Smart Aquaculture Automatized System in Segobang Village, Banyuwangi Fasya, Arif Habib; Kenconojati, Hapsari; Budi, Darmawan Setia; Suciyono, Suciyono; Pardede, Maria Agustina; Kumalaningrum, Dwi Retna; Prayogo, Prayogo; Saputra, Eka; Firdaus, Aji Akbar; Maulana, Muhammad Hilmy; Ambarwati, Dewi
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.
PENGUATAN PEMASARAN VIRTUAL ECOTOURISM BAGI KELOMPOK SADAR WISATA DI DESA PATAAN, KABUPATEN LAMONGAN M. Nilzam Aly; Damar Kristanto; Gagas Gayuh Aji; Rizky Amalia Sinulingga; Aji Akbar Firdaus; Angkita Wasito Kirana; Bambang Suharto
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
COMPARISON OF NAÏVE BAYES AND K-NEAREST NEIGHBOR MODELS FOR IDENTIFYING THE HIGHEST PREVALENCE OF STUNTING CASES IN EAST JAVA Herlambang, Teguh; Asy'ari, Vaizal; Rahayu, Ragil Puji; Firdaus, Aji Akbar; Juniarta, Nyoman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2153-2164

Abstract

Indonesia will experience a demographic bonus in 2030, where the productive age group will dominate the population and become a buffer for the economy. However, this potential is in vain if human resources experience stunting. According to WHO (2015), stunting is a disorder of child growth and development due to chronic malnutrition and repeated infections, characterized by below-standard length or height. Based on the background of the problem, the author wants to compare the prediction of the prevalence of the highest stunting cases in East Java using the Naive Bayes method and the K-Nearest Neighbor method. The stages carried out in this study are data collection, initial data processing, advanced data processing using the Naïve Bayes Method and K-Nearest Neighbor, and comparative analysis. The results of the implementation of the Naïve Bayes and K-Nearest Neighbor methods are in the form of stunting prevalence prediction charts with variables that affect LBW and TTD. The results of simulations conducted in 6 regions, the Naive Bayes method gets the highest accuracy value of 83.33% in simulation one and 66.67%. The smallest RMSE value is 0.382 simulation 1 and 0.469 simulation 2. This shows that the Naive Bayes method can predict well.
Co-Authors Achmad Luki Satriawan Adi Soeprijanto Agustin, Eva Inaiyah Alim Prasaja Aly, Muhammad Nilzam Ambarwati, Dewi Anang Budikarso Anang Tjahjono, Anang Andria Kusuma, Vicky Angkita Wasito Kirana Arof, Hamzah Asy'ari, Vaizal Azmita, Mimi Bambang Suharto Bambang Suharto DARMAWAN SETIA BUDI Daud, Muhamad Zalani Dimas Fajar U.P. Dimas Fajar Uman Putra Dimas Okky Anggriawan Dwi Retna Kumalaningrum Eka Prasetyono, Eka Eka Saputra Endro Wahjono Fasya, Arif Habib Firillia Filliana Gagas Gayuh Aji, Gagas Gayuh Ginting, Ina Veronica Hadi Suyono Hadi Suyono Hamzah Arof Hamzah Arof Happy Aprillia Hidayatul Nurohmah Indhana Sudiharto 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 Maulana, Muhammad Hilmy Maurisia Putri Permatasari Mifta Nur Farid Mifta Nur Farid Mimi Azmita Muhaimin Muhaimin Muhammad Abby Rafdi Syah Muhammad Agung Nursyeha Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Nizhom Ramadhani Muhammad Ridho Dewanto Muhammad Ruswandi Djalal Nabila Salvaningtyas Nasa Zata Dina Novian Patria Uman Putra Novian Uman Putra Nuruddi, Nuruddin Nyoman Juniarta, Nyoman Ontoseno Penangsang Pardede, Maria Agustina Prasaja, Alim Prayogo, Prayogo Priyanto, Yun Tonce Kusuma Putra, Dimas Fajar Uman Putra, Wahyu Haryanto Putri, Rahmah Fadiyah Rachman Sinatriya Marjianto 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 Vicky Andria Kusuma Wilda Imama Sabilla Winarno Winarno Winarno, Winarno Yanuar Mahfudz Safarudin Yuli Prasetyo Yunardi, Riky Tri