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All Journal Rotasi Rekayasa Mesin Sinergi REKAYASA JAIS (Journal of Applied Intelligent System) R.E.M (Rekyasa Energi Manufaktur) Jurnal Jurnal Pengembangan Rekayasa dan Teknologi Conference on Innovation and Application of Science and Technology (CIASTECH) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Industri Terintegrasi (JUTIN) TIN: TERAPAN INFORMATIKA NUSANTARA Information Science and Library Jurnal Rekayasa Energi dan Mekanika Jurnal Ahsana Media : Jurnal Pemikiran, Pendidikan dan Penelitian ke-Islaman Jurnal Serambi Abdimas Journal Computer Science and Informatic Systems : J-Cosys Jurnal Teknik Mesin Mechanical Xplore Journal of Mechanical Engineering, Science, and Innovation Sinergi Polmed : Jurnal Ilmiah Teknik Mesin Dulang: Jurnal Pengabdian Kepada Masyarakat SmartComp Tematik Jurnal Pengabdian Sosial Jurnal Polimesin Joong-Ki Annaba: Jurnal Ilmu Jurnalistik Systematic Literature Review Journal JIFA (Journal of Islamic Finance and Accounting) Jurnal DIMASTIK
Khoirudin Khoirudin, Khoirudin
Department of Computer Applied Technology, Nanchang University, China 999 Xuefu Road, Honggutan New District, Nanchang, Jiangxi Province, P.R. China Telp:+86-791-83969099 Fax:+86-791-83969069
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Performance Enhancement of Motorcycle Engines Using Lemongrass Oil-Based Fuel Additive Budi, Pangga Urip Setio; Suhara, Ade; Supriyanto, Agus; Patya, Dhea Intan; Khoirudin, Khoirudin; Nanda, Rizki Aulia
Journal of Mechanical Engineering, Science, and Innovation Vol 5, No 2 (2025): (October)
Publisher : Mechanical Engineering Department - Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2025.v5i2.7778

Abstract

The increasing number of motor vehicles has led to higher fuel consumption, especially among two-wheeled vehicles, contributing to elevated emissions of hydrocarbon (HC) and carbon monoxide (CO). This study investigates the potential of lemongrass oil (LO) as natural additive to reduce exhaust emissions from RON 92 fuel. The LO was extracted via maceration and characterized by its physical properties, including density (0.893 g/mL), viscosity (5.30 mPa.s), and boiling point (222 °C), consistent with pure LO standards. The additive as then blended into RON 92 fuel in concentration of 10 mL, 15 mL, and 20 mL per 1000 mL of fuel to determine its optimal performance. Results showed that a 20 mL addition yielded the highest reduction in HC and CO emissions, respectively 49.76% and 46.24%. Furthermore, engine performance improved, with power increasing by 0.27 HP and torque by 0.21 Nm within an engine speed range of 5200-5700 rpm. These outcomes suggest that LO enhances combustion efficiency and reduces emissions. The findings highlight the potential of LO as an environmentally friendly fuel additive and supprt ongoing efforts to develop sustainable alternatives to conventional fossil fuels in Indonesia.
Pengembangan Media Pembelajaran Menggunakan Camtasia Pada Kelompok Kerja Madrasah Ma arif NU Demak Khoirudin, Khoirudin; Winarti, Titin; Handayani, Titis
Jurnal DIMASTIK Vol. 1 No. 1 (2023): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v1i1.6081

Abstract

Kegiatan pengabdian ini melatih guru-guru di KKM Ma Arif NU Demak dalam membuat video pembelajaran dengan memanfaatkan Aplikasi Camtasia Studio, adapun khalayak sasaran dalam kegiatan ini adalah guru-guru KKM Ma Arif NU.   Kegiatan ini bertujuan untuk meningkatkan pemahaman dan kemampuan guru dalam membuat media pembelajaran yang menarik dan selanjutnya dapat dapat diterapkan dalam kegiatan pembelajaran pada lingkungan Kelompok Kerja Madrasah (KKM) Ma Arif NU Demak, secara khusus yang ingin dicapai adalah peningkatan kreatifitas guru dalam merancang dan menggunakan media pembelajaran video sehingga pembelajaran di sekolah khususnya selama pandemic covid-19 akan lebih menarik. Metode yang digunakan dalam pelaksanaan kegiatan pengabdian ini berupa metode pelatihan dan diskusi. Hasil yang diperoleh dari kegiatan ini adalah peningkatan kemampuan peserta yang ditunjukkan dengan peningkatan hasil kuisioner sebesar 92% pada evaluasi post test, artinya adalah bahwa peserta PkM telah memahami materi peningkatan kompetensi digital dengan menggunakan Camtasia sebagai media pembelajaran. Dengan peningkatan kompetensi digital tersebut maka diharapkan para guru Madrasah Aliyah (MA) NU di KKM Ma Arif NU Kabupaten Demak dapat meningkatkan kualitas pembelajaran menggunakan aplikasi Camtasia.
A Systematic Review on Data Fusion Techniques for Agri-cultural Yield Prediction: Integrating Satellite Imagery with Climatic Data Khoirudin, Khoirudin; Pungkasanti, Prind Triajeng; Hidayati, Nurtriana
Systematic Literature Review Journal Vol. 1 No. 4 (2025): October: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i4.245

Abstract

An answer to the worldwide need for solutions to food security, data fusion technology that combines climate data with satellite imagery greatly improves the accuracy of agricultural yield predictions; this study intends to examine the advancements, methods, and key contributions of this area. By sifting through 62 papers pulled from Scopus, this research employs the SLR methodology. Document type, data source, open access, subject area, and year of publication (2020–2024) are some of the categories filtered through by Boolean keywords in the selection process. To assess patterns in publications, the efficacy of machine learning models, and key contributions, bibliometric analysis was performed. An upward tendency in publication has been identified by the analysis, particularly beyond the year 2023. Integrating geographical and temporal data has been a great success with machine learning models like Random Forest, Random Forest, and Gradient Boosting. Data resolution, integration of data from several sources, and a real-time framework are still missing pieces to the puzzle when it comes to generalizing research outcomes. More complex data fusion approaches, multiregional datasets, and advanced machine learning models to back more accurate agricultural predictions are all things that this study notes as needing additional investigation in the future. To further innovate agricultural yield prediction, multidisciplinary collaboration is also crucial.
Pelatihan dan Pendampingan Proses Deep Drawing sebagai Upaya Pengembangan Produk Rumah Tangga Berbasis Logam Mulyadi, Dodi; Khoirudin, Khoirudin; Amir, Amir; Rizki Aulia, Nanda; Agus , Supriyanto; Karyadi, Karyadi
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 5 No. 2: Februari 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v5i2.13140

Abstract

Kegiatan pengabdian kepada masyarakat ini dilaksanakan di PT. Gama Satya Engineering (GSE), Karawang, dengan tujuan meningkatkan kemampuan teknis pekerja dalam memahami dan menerapkan proses deep drawing sebagai teknologi dasar dalam pembuatan peralatan rumah tangga berbasis logam. Perusahaan selama ini berfokus pada jasa manufaktur berbasis pesanan (customize product), sehingga belum memiliki produk unggulan yang dapat dipasarkan secara langsung kepada masyarakat. Metode pelaksanaan kegiatan meliputi pelatihan teori, demonstrasi proses deep drawing, pendampingan teknis perencanaan produksi, serta evaluasi peningkatan kompetensi peserta. Hasil kegiatan menunjukkan peningkatan signifikan terhadap pemahaman dan keterampilan peserta, dengan rata-rata peningkatan nilai uji sebesar 45%. Selain itu, mitra juga mulai mampu merencanakan pengembangan produk awal berupa baskom logam sebagai prototype. Kegiatan ini diharapkan dapat menjadi langkah awal bagi GSE untuk mengembangkan produk baru yang bernilai komersial, sekaligus memperkuat kolaborasi antara perguruan tinggi dan dunia industri.
Co-Authors Adiwibowo, Zakaria Afgani, Abduh Al Afif Hakim Agus , Supriyanto Agus Suprihanto AHMAD JUNAEDI Akhmad Junaedi Amar Amar Amir Amir Amri Abdulah Amri, Saeful April Firman Daru Arif Wibowo, Ludvi Atmoko Nugroho Aulia Nanda, Rizki Azizah Azizah Azizah, Renata Lintang Azmi, W. H. Badriyah, Fatikhatul Badroe Zaman Banu Witono Basit, Arul Bernadus Very Christoko Budi, Pangga Urip Setio Budiansyah, Ade Cepi Cahyo, Tegar Dwi Cahyono, Yono Cepi Budiansyah, Ade Dewi Nurdiyah, Dewi Dhawy, Luay Raihan Dodi Mulyadi Dodi Mulyadi Dwicahyo, Tegar Fahrizin, Nazar Fazin, Nazar Fazrin, Nazar Fuadiah, Shiema Jamalah Gunata, Krida Pandu Gymanstiar , Salman Fahrizal Hadi, Soiful Hananto, Agustia Hanif, Mohammad Burhan Hassanudin, Wahyu Maulana Hidayat, Syahrul Taufik Ines Heidiani Ikasari Irfani, Tomas Karyadi Karyadi Khusna, Arina Kumbarasari, Shanti Lailisya Putri, Purnama Lintang Azizah, Renata Miftahudin, Moh Muahemin, Enjang Muji Setiyo Murtalim, Murtalim Muzammil, Ach Nanda, Rizki Aulia Noer Sasongko Nugroho, Fajar Raditya Nur Wakhidah Nurtriana Hidayati Panata, Helmi Prasetio Patya, Dhea Intan Pratama, Tito Chaerul Prima, Juan Candy Prind Triajeng Pungkasanti, Prind Triajeng Putri, Nela Aulina Rahdiana, Nana Rahman, Mumammad Arif Rakasiwi, Galih Ramadan, Trisa Riana, Rati Ridwan Rizki Aulia Nanda Rizki Aulia, Nanda Rohman Rosaria, Stefani Dewi Safril Safril Sanusi Sanusi Saputra Sigalingging, Wanri Saputra, Ridhwan Salahuddin Saputra, Ridhwan Shalahuddin Saputra, Rio Handika Setiaji, Galet Guntoro Setiarso, Galih Shieddieque, Apang Djafar Sudarjat, Muhammad Fauzaan Fikri Sudarjat Suhara, Ade Sukarman Sukarman Sukarman Sukarman Sulistiyanto Sulistiyanto, Sulistiyanto Susanto, Susanto Syamsudin Syamsudin Tantri, Andini Kartika Taufik Ulhakim, Muhamad Taufik Ulhakim, Muhammad Taufiqur Rokhman, Taufiqur Thiyana, Thyana Tikamori, Ghazi Titis Handayani Tri Toto Wiharjianto, Muhammad Ulhakim, Mumamad Taufik Vensy Vydia Wahyu Christanto, Febrian Widodo, Muhammad Faizal Agung Winarti, Titin Zaidar, Chilfi