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All Journal CALYPTRA : Jurnal Ilmiah Mahasiswa Universitas Surabaya Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Transformatika ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Ilmiah Ekonomi Islam PEDAGOGY Turbo : Jurnal Program Studi Teknik Mesin BAREKENG: Jurnal Ilmu Matematika dan Terapan Pendas : Jurnah Ilmiah Pendidikan Dasar ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURTEKSI PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat Borneo Jurnal Borneo Saintek INTEGRITAS : Jurnal Pengabdian Jurnal Fisika dan Terapannya Jurnal Abdidas Elektrika Borneo Publikasi Riset Orientasi Teknik Sipil (Proteksi) Sadar Wisata: Jurnal Pariwisata JPM: JURNAL PENGABDIAN MASYARAKAT Reaktom : Rekayasa Keteknikan dan Optimasi Jurnal Profesi Insinyur Universitas Lampung Peka: Jurnal Pengabdian Kepada Masyarakat KINDAI : Kumpulan Informasi dan Artikel Ilmiah Manajamen dan Akuntansi Journal BEARINGS: Borneo Mechanical Engineering and Science Agroista: Jurnal Agroteknologi Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi) Najwa Jurnal Pengabdian Masyarakat Nasional Sipakaraya : Jurnal Pengabdian Masyarakat Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Polimesin Jurnal Ilmu-Ilmu Pertanian Journal Collabits Widya Teknik
Hadi Santoso
Institut Teknologi Sepuluh Nopember (ITS)
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Wave Tank Skala Laboratorium dengan Pembuat Ombak Tipe Piston Murdianto, Deny; Jerius, Rusli; Waluyo, Marhadi Budi; Santoso, Hadi
TURBO [Tulisan Riset Berbasis Online] Vol 14, No 2 (2025): TURBO: Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v14i2.4342

Abstract

Pembangkit listrik tenaga gelombang laut sangat memungkinkan untuk dikembangkan di Indonesia. Selain memiliki potensi wilayah perairan yang sangat luas, penelitian terkait pembangkit listrik tenaga gelombang laut juga sudah banyak dilakukan dan terus dikembangkan hingga saat ini. Sebagai langkah awal sebelum melakukan penelitian lebih lanjut, dibuatlah wave tank skala laboratorium sebagai media untuk mengamati karakteristik gelombang. Tinggi dan panjang gelombang merupakan salah satu parameter yang dijadikan tolak ukur dalam penelitian ini. Desain pembuat ombak tipe piston dengan ukuran tangki yang sudah ditentukan, yaitu panjang 150 cm, lebar 35 cm, dan tinggi 35 cm dibuat sedemikian hingga dengan menghitung beban mekanik. Metode penelitian yang digunakan ialah perancangan teknik. Hasil rancang bangun menghasilkan mesin wave tank model piston dengan ukuran rangka, yaitu panjang 155 cm, lebar 40 cm, dan tinggi 122 cm yang digunakan untuk menopang tangki, motor listrik, dan wavemaker. Jenis penggerak yang digunakan yaitu model piston dengan satu kecepatan putaran yang diatur oleh dimmer. Tinggi gelombang yang dihasilkan bervariasi mulai dari 1,1 cm – 2,5 cm sedangkan panjang gelombang yang dihasilkan bervariasi juga yaitu, 10,5 cm – 20,5 cm.
Effect of geometric size reduction on the thermal efficiency of a galvanized plate biomass stove Santoso, Hadi; Azhar, Muhammad; Melda, Melda; Waluyo, Marhadi Budi; Nurdin, Muh. Firdan; Sudirman, Sudirman; Kismanti, Shinta Tri; Murdianto, Deny
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8254

Abstract

Improving the thermal efficiency of biomass cookstoves remains essential for enhancing energy utilization and reducing fuel consumption in household applications. This study investigates the effect of geometric size reduction on the thermal performance of a galvanized steel biomass stove equipped with a 12 V DC blower. The original biomass stove constructed from galvanized steel plates with dimensions of 50 × 50 × 55 cm³ equipped with a 12 V DC blower was developed in 2022. Due to its relatively large size, the air–fuel mixture delivered to the combustion chamber was not fully optimized, resulting in a thermal efficiency of only 10%. To address this limitation, the stove dimensions were reduced to 40 × 40 × 40 cm³. The performance evaluation was conducted using the Water Boiling Test (WBT) method with two water volumes (2 L and 5 L) and three fuel masses (40%, 60%, and 80%). The results indicate that reducing the stove dimensions contributes to a significant improvement in thermal efficiency, reaching up to 14.6%.
Enhanced Violence Detection in CCTV Using LSTM Hasanudin, Muhaimin; Santoso, Hadi; Wahab, Abdi; Indrianto, Indrianto; Kuswardani, Dwina; Ridlan, Ahmad
ILKOM Jurnal Ilmiah Vol 17, No 2 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i2.2318.196-202

Abstract

Violence detection in CCTV footage remains a critical challenge for public safety, necessitating automated solutions to overcome human monitoring limitations. This study proposes an LSTM-based framework to improve detection accuracy by analyzing temporal patterns in surveillance videos. Using a dataset of 2,000 videos (1,000 violent/1,000 non-violent), the model extracts spatial-temporal features via optical flow and achieves 93% training accuracy and 91% test accuracy, with a precision of 92% and AUC of 0.94. Results demonstrate significant improvements over traditional methods, particularly in dynamic scenarios, though performance dips for occluded actions or weapon-related violence. The discussion highlights the model’s real-time applicability, computational efficiency (120 ms latency per segment), and alignment with smart city surveillance needs. Limitations include dataset diversity and environmental variability, suggesting future directions in multi-modal data fusion and edge computing. This research advances AI-powered security systems, offering a robust tool for proactive threat detection while underscoring the need for scalable, context-aware solutions.
Topic Modeling Analysis of Indonesia Food-Security News: Methods,Interpretations, and Trend Insights Afiyati, Afiyati; Rochmad, Imbuh; Budiyanto, Setiyo; Jokonowo, Bambang; Santoso, Hadi; Budiana, Kelik
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 2 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i2.5784

Abstract

The critical problem for food-security stakeholders in Indonesia is the lack of scalable, quantitative methods to systematically distill dominant themes and evolving trends from vast volumes of news media, which severely hinders timely policy monitoring and responsive intervention. This study aimed to develop and validate a reproducible topic modeling pipeline specifically designed to uncover the latent thematic structure and quantify the temporal dynamics within Indonesian food-security news discourse. The research method is a comprehensive natural language processing pipeline applied to a curated corpus of 770 news documents spanning 2012 to 2025. The process involved languageadaptive preprocessing of Indonesian text, n-gram (1-2) vectorization to capture nuanced phrases, and training multiple Latent Dirichlet Allocation (LDA) models. The optimal model, with K=10 topics,was rigorously selected through a perplexity-based grid search across a range of potential topic numbers. The resulting topics were then qualitatively interpreted and manually labeled into policy-relevant themes by domain experts. Subsequently, we computed monthly topic intensity series to conduct a longitudinal analysis. The results of this research are that the pipeline successfully generated semantically coherent topics that aligned perfectly with core policy pillars, including availability, access, and utilization. Furthermore, the analysis revealed significant temporal shifts, sustained intensification of price and inflation-related discussions throughout the 2022-2024 period. This study conclusively demonstrates that unsupervised topic modeling can effectively transform unstructured news streams into actionable, quantifiable intelligence, thereby significantly enhancing situational awareness and supporting evidence-based decision-making for food security stakeholders.
Co-Authors A.A. Ketut Agung Cahyawan W Abdi Wahab Abdul Muis Prasetia, Abdul Muis Adiwena, Muh. Afiyati, Afiyati Ahmad Ridwan Aldri Frinaldi Alfariz, Muhammad Alkam Aminatuz Zahroh, Nuril Amirul Mukminin Andi Rosman N Andrew Joewono, Andrew Argubi, Adi Hidayat Arie Linory Arif Arif Bambang Jokonowo Budiana, Kelik Cahyo, Yosef Ceffiriana, Paramita Destiyani, Arvina Dian Retno Sari Dewi Dian Trihastuti Dumendehe, Tri Dianingsi DWI SANTOSO Dwifi Aprillia Karisma Dwina Kuswardani, Dwina Fadilah, Ahmad Nur Febrianto, Rizky Fitria Hidayati, Fitria Gunadhi, Albert Hamidah, Nur Khusnul Hanafi, Roy Hanif, Sholahuddin Hidayatullah, Syahrul Hilyah Magdalena Ibrahim, Maulana Idum Satia Santi Ig. Jaka Mulyana Imaman, Rahardian Aulia Imbuh Rochmad Indrianto Indrianto iromo, heppi Ivan Gunawan Jaya, Akbar Jerius, Rusli JULIANTO Julius Mulyono Karisma Riskinanti Kartina Kartina Kismanti, S. T. Leonita, Litha Lestari, Mulyati Lestariningsih, Diana Lukman Hakim Lukman Hakim Marhadi Budi Waluyo Melda, Melda Muhajirin Muhajrah, Muhajrah Muhammad Azhar Muhammad Noor Asnan Munandar, Is Murdianto, Deny Nasir Nasir Novrizal, Kevin Nur Rohmah Lufti A'yuni Nurdin, Muh. Firdan Nurdin, Muhammad Firdan Nurhafida, Alisa Nurwijayanti Pakiding, Sakti Perkasa, Eza Budi Prasetya, Andre Puspitasari, Nurrisma Puspitojati, Endah Putrandy, Leonardo Rahmah, Nia Ridlan, Ahmad Ridwan, Rasmawati S, M Rizal Samsuri Tarmadja, Samsuri Santi Yatnikasari Sari, Yunita Sartika Septryanti, Ade Setiyo Budiyanto Shinta Tri Kismanti Sianto, Martinus Edy Silalahi, Prayoga Raja Lambok Siswahyudianto Sudirman Sudirman Suryapradana, Ilmawan Umami, Umami Vebrian, Vebrian Waluyo, M. B. Waluyo, Marhadi Budi Yanuarti, Elly Yuliati -