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All Journal IAES International Journal of Robotics and Automation (IJRA) Indonesian Journal of Electronics and Instrumentation Systems Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Elektronika dan Telekomunikasi CYCLOTRON Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Multitek Indonesia : Jurnal Ilmiah Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Nasional Teknik Elektro dan Teknologi Informasi POLIGRID SinarFe7
Novendra Setyawan
Universitas Muhammadiyah Malang
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering

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Ensembled Machine Learning Methods and Feature Extraction Approaches for Suicide-Related Social Media Merinda Lestandy; Abdurrahim Abdurrahim; Amrul Faruq; M. Irfan; Novendra Setyawan
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 2 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i2.70016

Abstract

Suicide is a pressing public health concern that affects both young people and adults. The widespread use of mobile devices and social networking has facilitated the gathering of data, allowing academics to assess patterns, concepts, emotions, and opinions expressed on these platforms. This study is to detect suicidal inclinations using Reddit online dataset. It allows for the identification of people who express thoughts of suicide by analyzing their postings. The method addresses and evaluates different machine learning classification models, namely linear SVC, random forest, and ensemble learning, along with feature extraction approaches such as TF-IDF, Bag of Words, and VADER.   This study utilised a voting classifier in our ensemble model, where the projected class output is selected by the class with the highest probability. This approach, typically known as a "voting classifier," employs voting to forecast results. The results collected suggest that employing ensemble learning with the TF-IDF 2-grams approach yields the highest F1-score, specifically 0.9315. The efficacy of TF-IDF 2-grams can be determined to their capacity to capture a greater amount of contextual information and maintain the order of words.
Deteksi Kepadatan Penumpang di Stasiun Kereta Api Berbasis ViT-Base pada Jetson Orin Nano Nurul Achmadiah, Mas; Setyawan, Novendra; Risdhayanti, Anindya Dwi
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 1 (2025): Vol 12 No 1 (Mei 2025): Jurnal Elkolind Vol 12 No 1 (Mei 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i1.7495

Abstract

Pemantauan kepadatan penumpang di stasiun kereta api secara akurat dan real-time merupakan aspek krusial dalam mendukung peningkatan kenyamanan, efisiensi, dan keselamatan pada sistem transportasi publik. Penelitian ini mengusulkan implementasi arsitektur Vision Transformer (ViT-Base) yang telah melalui tahap pelatihan awal (pre-trained) pada dataset ImageNet-21K, untuk melakukan deteksi dan estimasi kepadatan penumpang berbasis visual. Model tersebut dioptimalkan agar dapat dijalankan secara efisien pada perangkat komputasi edge Jetson Orin Nano, sehingga memungkinkan pemrosesan data secara lokal dengan konsumsi sumber daya yang rendah. Evaluasi kinerja dilakukan berdasarkan empat parameter utama, yakni tingkat akurasi, latensi, konsumsi energi, dan efisiensi komputasi. Hasil eksperimen menunjukkan bahwa ViT-Base mampu mencapai akurasi deteksi sebesar 91,17%, dengan latensi rata-rata sebesar 46,59 ms, konsumsi energi 0,1332 joule, dan efisiensi komputasi sebesar 0,171 %/msW. Temuan ini mengindikasikan bahwa ViT-Base merupakan solusi yang menjanjikan untuk sistem pemantauan kepadatan penumpang berbasis edge computing, khususnya dalam konteks penerapan pada lingkungan transportasi publik yang menuntut efisiensi dan kecepatan tinggi.
Localization and mapping of autonomous wheel mobile robot using Google cartographer Hidayati, Qory; Setyawan, Novendra; Faruq, Amrul; Irfan, Muhammad; Kasan, Nur; Yakub, Fitri
IAES International Journal of Robotics and Automation (IJRA) Vol 14, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v14i3.pp322-331

Abstract

COVID-19 has become a world concern because of the spread and number of cases that have befallen the world. Medical workers are the first exposed group because they have direct contact with patients. So, a vehicle is needed to replace tasks such as logistics, delivery, and patient waste transportation. An autonomous wheeled mobile robot (AWMR) is a wheeled robot capable of moving freely from one place to another. AWMR is required to have good navigation and trajectory control skills. The purpose of this study is to develop an AWMR navigation system model based on the simultaneous localization and mapping (SLAM) algorithm, accurately in a dynamic environment. With this research, developing a good navigation and trajectory method for AWMR, in the future, it can be applied to produce an AWMR platform for multipurpose. This research was conducted in two stages of development. The first year is the research that is currently being carried out, focused on sensor modeling, designing SLAM-based navigation models, and making navigation system testbeds. This research produces a trajectory navigation and control system that can be implemented on an AWMR platform for the purposes of logistics, transportation, and patient waste in hospitals.
Penerapan Islamic Platform Sistem Informasi Manajemen Masjid di Lingkungan PCM Karangploso Malang Setyawan, Novendra; Nasar, Muhammad; Zulfatman, Zulfatman; Fajar, Dwi Nur
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 5 No 2 (2021): Volume 5 Nomor 2 Tahun 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v5i2.15290

Abstract

KH. Ahmad Dahlan’s Mosque is a mosque that was founded in 2012 in Ngijo village, Karangploso sub-district under the auspices of the Muhammadiyah branch of Karangploso. Good mosque management besides having supporting facilities and infrastructure, to provide good service to the congregation, of course the mosque must have good data and congregational data collection systems as well. That is what the management of the KH mosque complained about. Ahmad Dahlan, who has difficulty managing data for mosque congregations and business charities. Based on these problems, this community service designs and implements a website-based Islamic mosque management information system software that can handle problems and serve as partner management data.
Co-Authors Ali Mukti Ali Mukti Amrul Faruq Amrul Faruq Amrul Faruq Anggar Kusuma Basri Noor Cahyadi Bella Retno Chatarina Umbul Wahyuni Diding Suhardi Dwi Nur Fajar Erdiaz Rakha Praditya Ermanu Azizul Ermanu Azizul Ermanu Azizul Hakim Ermanu Azizul Hakim Fadhila Milenasari Fajar, Dwi Nur Fitri Yakub Ghufron Wahyu Kurniawan Ghufron Wahyu Kurniawan Haris Rahmana Putra Ilyas Hamzah Alkatiri Indah Sulistiyowati Julianto Muchtadirul Hasan Khusnul Hidayat Komarudin Achmad Leonardo Kamajaya M. Irfan Machmud Effendy Mardiyah, Nur Alif Mardiyah, Nuralif Mas Nurul Achmadiah Mas Nurul Achmadiah Merinda Lestandy Mohammad Chasrun Hasani Muhammad Faris Pradana Muhammad Ikhwanul Khair Muhammad Irfan Muhammad Nasar Nasihol Fattah Noor Cahyadi, Basri Norazizah Nur Alif Mardiyah Nur Kasan, Nur Nuralif Mardiyah Nuralif Mardiyah Nurhadi Nurhadi Nurhadi, Nurhadi Nurul Achmadiah, Mas Rahayu Pandunengsih Retno, Bella Risdhayanti, Anindya Dwi Syachbani Amin Hidayat Syafaah, Lailis Syafaah, Lailis Tamadar Al Ghufran Yudawan Hidayat Zulfatman Zulfatman