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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Keteknikan Pertanian Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOIV : International Journal on Informatics Visualization Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) IJCIT (Indonesian Journal on Computer and Information Technology) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) International Journal of New Media Technology ILKOM Jurnal Ilmiah Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal ULTIMATICS Jurnal Ilmiah Sinus INTI Nusa Mandiri Paradigma Policy Brief Pertanian, Kelautan, dan Biosains Tropika The Indonesian Journal of Computer Science
Toto Haryanto
Departemen Ilmu Komputer Fakultas Matematika Dan Ilmu Pengetahuan Alam Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Social Sciences

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SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images Haryanto, Toto; Suhartanto, Heru; Murni, Aniati; Kusmardi, Kusmardi; Yusoff, Marina; Zain, Jasni Mohammad
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1750

Abstract

Since the coronavirus was first discovered in Wuhan, it has widely spread and was finally declared a global pandemic by the WHO. Image processing plays an essential role in examining the lungs of affected patients. Computed Tomography (CT) and X-ray images have been popularly used to examine the lungs of COVID-19 patients. This research aims to design a simple Convolution Neural Network (CNN) architecture called SCOV-CNN for the classification of the virus based on CT images and implementation on the web-based application. The data used in this work were CT images of 120 patients from hospitals in Brazil. SCOV-CNN was inspired by the LeNet architecture, but it has a deeper convolution and pooling layer structure. Combining seven and five kernel sizes for convolution and padding schemes can preserve the feature information from the images.  Furthermore, it has three fully connected (FC) layers with a dropout of 0.3 on each. In addition, the model was evaluated using the sensitivity, specificity, precision, F1 score, and ROC curve values. The results showed that the architecture we proposed was comparable to some prominent deep learning techniques in terms of accuracy (0.96), precision (0.98), and F1 score (0.95). The best model was integrated into a website-based system to help and facilitate the users' activities. We use Python Flask Pam tools as a web server on the server side and JavaScript for the User Interface (UI) Design
Text summarization: BART, RF, and hybrid BART-RF algorithm comparison Zamzam, Muhammad Adib; Buono, Agus; Haryanto, Toto
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp929-940

Abstract

Data and information accumulate quantitatively and qualitatively. Abundant text data are posted on the internet. The number correlates to the complexity of the summarization. Automatic text summarization (ATS) is one of the most challenging tasks in natural language processing (NLP). ATS approached in three ways: extractive, abstractive, and hybrid. Hybrid approach combines both extractive and abstractive. This research tests and compares performance of bidirectional auto-regressive transformer (BART) and random forest (RF) individually and the performance combination of hybrid BART and RF in ATS. The research shows that individually, BART and RF recall-oriented understudy for gisting evaluation (ROUGE) scores are having quite differences. Consecutively, ROUGE RF scores in R1, R2, and RL are 51.45, 45.52, and 54.58 respectively. Meanwhile, ROUGE BART scores are 32.78, 16.17, and 32.19. Consecutively, average ROUGE RF, BART, and RF×BART F-measure are 45.73, 21.38, and 31.31. RF has the highest average score. ATS hybrid RF×BART is shown to be performed better than the default BART. The average ROUGE F-measures for RF×BART obtain moderate score at 31.31. This score is better than the default BART’s ROUGE score. RF×BART can be an alternative to the effective hybrid approach.
SEKOLAH LAPANG IOT: PENGEMBANGAN MASYARAKAT DESA WISATA BERBASIS BUDIDAYA IKAN KOI MELALUI PENGEMBANGAN TEKNOLOGI DIGITAL Siwi, Mahmudi; Retno Hapsari, Dwi; Budiarto, Tri; Haryanto, Toto; Aulia, Titania; Luthfiyah Arham, Iffah; Adistika, Exciyona
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 9, No 2 (2026): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v9i2.%p

Abstract

Perkembangan teknologi digital yang sangat cepat telah membuka peluang baru sekaligus tantangan bagi masyarakat perdesaan, termasuk para petani ikan koi di Dusun Kuwut, Desa Kemloko, Kecamatan Nglegok, Kabupaten Blitar. Meskipun budidaya koi telah menjadi mata pencaharian utama, para petani masih menghadapi berbagai kendala teknis dan manajerial seperti perubahan kualitas air, kesalahan pemberian pakan, keterbatasan akses pasar, serta rendahnya pemanfaatan inovasi berbasis digital. Untuk menjawab persoalan tersebut, program Dosen Pulang Kampung (Dospulkam) IPB University tahun 2025 melaksanakan kegiatan pengembangan kapasitas masyarakat melalui pengenalan Internet of Things (IoT) pada budidaya koi dan pelatihan pembuatan film pendek storytelling sebagai strategi pemasaran digital. Kegiatan berlangsung pada 23–27 September 2025, melibatkan 65 warga, Kelompok Masyarakat (Pokmas) Ana Cahaya Koi, pemerintah desa dan kecamatan, serta pemangku kepentingan lokal lainnya. Rangkaian kegiatan meliputi partisipasi dalam acara Jagong Petani multipihak, pelatihan Sekolah Lapang IoT, serta praktik langsung pembuatan video pendek untuk promosi koi. Pelatihan IoT memperkenalkan sistem sensor untuk pemantauan kualitas air secara real-time, teknologi pemberian pakan otomatis, dan kerangka kerja digital yang dapat meningkatkan efisiensi budidaya sekaligus menjaga keberlanjutan lingkungan. Sementara itu, pelatihan storytelling membekali peserta terutama generasi mudadengan keterampilan merancang konten, teknik pengambilan gambar, penyuntingan video, serta pemanfaatan media sosial sebagai sarana promosi yang efektif. Hasil kegiatan menunjukkan meningkatnya pemahaman dan minat petani dalam menerapkan teknologi IoT dan media digital untuk pemasaran koi. Beberapa output berupa modul pelatihan, HKI, publikasi media, serta dokumentasi video berhasil dihasilkan. Program ini menyimpulkan bahwa integrasi literasi digital, inovasi IoT, dan promosi berbasis storytelling berpotensi meningkatkan kesiapan teknologi petani, memperluas pemasaran, dan mendukung pengembangan desa wisata berbasis budidaya koi. Pendampingan lanjutan dan pengembangan teknologi yang berkelanjutan direkomendasikan untuk memperkuat dampak program
Co-Authors Abdul Latif Adistika, Exciyona Aditika, Exciyona Adline Twince Tobing, Fenina Agus Buono Alita Wulan Dini Angga Bayu Santoso Aniati Murni Annisa Annisa Anuraga Jayanegara Arham, Iffah Luthfiyah Asterika Prawesti Azhari, Irmawati Carolina Aziz Kustiyo Budiarto, Tri Budiman Budiman Chrysanti, Rachma Chusyairi, Ahmad Cian Ramadhona Hassolthine Dasri, Dasri Djuara P Lubis Dwi Retno Hapsari, Dwi Retno Endang Purnama Giri Eri Mardiani Eva Rahmawati Eylen Desy Novita Fauziah Fauziah Ganda Wijaya Guritno, Hanif Bagus Hari Agung Adrianto Hartono Wijaya, Sony Hehanussa, Siti Gayatri Herlambang Brawijaya Heru Suhartanto Imam Nawawi Imas Sukaesih Sitanggang Irman Hermadi Irzal Effendi Jamaludin JAMALUDIN Jasni Mohammad Zain Khairani Kusmardi Kusmardi Lidya Ningsih Luthfiyah Arham, Iffah Mahmudi Siwi, Mahmudi Marimin , Muhammad Ikhwani Saputra Muji Yuswanto Mushthofa Nababan, Adi Pandu Rahmat Niken TM Pratiwi Niken TM Pratiwi Noer Muslimah, Meia Nur Hayati Rachmad Nur Hayat Retno Hapsari, Dwi Ridwansyah Ridwansyah Rizal Amegia Saputra Rizky Kurniawan RR. Ella Evrita Hestiandari Sahrial Ihsani Ishak Shelvie Nidya Neyman Silvia Rahmi Silvia Rahmi Siti Khotimatul Wildah Sony Hartono Wijaya Sony Muhammad Sri Wahjuni Titania Aulia Tobing, Fenina Adline Twince Tri Widodo Verry Riyanto Viktor Vekky Ronald Repi Wasyianti, Sri Wina Widiati Yusoff, Marina Zamzam, Muhammad Adib