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All Journal Abdimas Agrointek Jurnal Ilmiah Teknik Industri Teknika: Engineering and Sains Journal Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Infotekmesin Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS J-ADIMAS (Jurnal Pengabdian kepada Masyarakat) G-Tech : Jurnal Teknologi Terapan JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Rainstek : Jurnal Terapan Sains dan Teknologi
Shafiq Nurdin
Teknik Mesin, Politeknik Unisma Malang
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Desain Alat Smart Farming Penyiram Bawang Merah Menggunakan Arduino Uno Berbasis Android Novta Dany’el Irawan; Shafiq Nurdin; Muhammad Athoillah; Riski Nur Istiqomah Dinnullah
Infotekmesin Vol 13 No 2 (2022): Infotekmesin: Juli, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i2.1539

Abstract

One of the technological developments in agriculture is smart farming. Shallot farmers still carry out the process of watering shallot plants manually. This takes a long time because farmers have to go around the agricultural land during the watering process. To solve these problems, an automatic shallot sprinkler machine was designed that can be applied by farmers. The Arduino Uno ATMega328 microcontroller is used on this machine as the control system, while Android is used for the interface. The android interface on this machine can provide a graphical display, therefore farmers can give direct orders to drive a DC motor (Direct Current) and a DC pump on/off switch (Direct Current). The results of the smart farming research on this automatic onion sprinkler help farmers get 72% efficient time. The comparison can be seen in the manual watering process on 10,000m2 agricultural land that takes 7 days, on the other hand, it only takes 2 days when it is done with smart farming technology.
Optimalisasi Sistem Pelanggaraan Lalu lintas Kendaraan Besar Menggunakan Algoritma Mobilnet-SSD dan Pengolahan Citra K-Nearest Neighbors (KNN) Okiandri, Diki; Irawan, Novta Danyel; Ardian, Yusriel; Nurdin, Shafiq; Siswoko, Muhammad Urfun Nuurrazzaq
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2743

Abstract

This study is motivated by the high rate of traffic violations involving large vehicles such as trucks and buses, particularly on city protocol roads where these types of vehicles are prohibited. Most existing e-ticketing (e-Tilang) systems are still unable to automatically detect large vehicles in real-time and simultaneously read their license plates accurately. This limitation represents a research gap that this study aims to address. The objective of this research is to develop an integrated system that automatically detects violations committed by large vehicles and reads their license plates. The system employs the MobileNet-SSD algorithm for detecting large vehicles from traffic video data and applies the K-Nearest Neighbors (KNN) method for license plate character recognition. Based on tests conducted on five traffic videos under various conditions (morning, afternoon, night), the system achieved a detection accuracy of 90% for large vehicles and an 80% accuracy in license plate recognition. The system performed optimally during daylight hours but showed reduced accuracy at night due to limited lighting conditions. The integration of these two methods has proven to be effective and feasible for real-time law enforcement systems, especially in areas with limited computational resources.
Peningkatan Operasional Mesin Blender pada Produksi Tepung sebagai Upaya Mewujudkan Kemandirian UKM Nurdin, Shafiq; Shofiyati, Nur; Dinnullah, Riski Nur Istiqomah; Fayeldi, Trija
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 5 No 3 (2022)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v5i3.17755

Abstract

Tepung Bumbu Krispi (TBK) merupakan bahan makanan yang diolah dari bahan dasar bumbu dan tepung yang saat ini diminati oleh masyarakat karena praktis dalam penyajiannya, sehingga usaha untuk membuat produk ini memiliki prospek untuk dikembangkan. UKM Tepung bumbu krispi "Amanah" memproduksi TBK selama kurang lebih 7 tahun mengalami kesulitan dalam proses produksi, terutama pengolahan bahan dasar bumbu yang memiliki tekstur butiran kasar dan besar untuk menjadi halus. Dibutuhkan mesin blender dari bahan stainless steel dan kapasitas besar untuk mengembangkan dan meningkatkan produksinya. Program pengabdian kepada melalui Penerapan Iptek Masyarakat (PIM) kepada mitra UKM tepung bumbu krispi “Amanah” memiliki tujuan melakukan pembinaan, pelatihan dan pendampingan terkait sistem operasional, perawatan dan perbaikan mesin blender. Hasil kegiatan pengabdian telah berjalan lancar sesuai jadwal, dimana mitra dan karyawannya mampu mengoperasikan mesin, melakukan perawatan dan perbaikan dasar pada mesin blender. Partisipasi aktif antara pengabdi dengan mitra mampu memberikan peningkatan pada kualitas dan kuantitas mitra dalam menghasilkan produk berupa TBK, sehingga memberikan kelancaran dan kesuksesan dari kegiatan Pengabdian ini.
Co-Authors Ahlan Ahlan Arianti Kusumawardhani Arianti Kusumawardhani, Arianti Chabibi, Nur Dany'el Irawan, Novta Djoko Adi Susilo Fachry Abda El Rahman I D, Riski Nur Irawan, Novta Danyel Irawan, Novta Dany’el Izza, Syarifatul Lutfi Adi Firmansyah M. Adhi Prasnowo Mokh Suseno Aji Sari Muhammad Athoillah Muhammad Athoillah, Muhammad Novta Dany’el Irawan Nur Istiqomah Dinnullah, Riski Okiandri, Diki Pranyata, Yuniar Ika Putri Purwanto Repi Mujaini Riski Nur Istiqomah Dinnullah SHOFIYATI, NUR Siswoko, Muhammad Urfun Nuurrazzaq Sumadji Sumadji Sumadji Sumadji, Sumadji Trija Fayeldi Yasaka Arma Yudrika Yusriel Ardian