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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Mesin Rotasi AUSTENIT SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Sinergi Jurnal Teknologi Elektro VANOS Journal of Mechanical Engineering Education Jurnal Teknik Mesin JMPM (Jurnal Material dan Proses Manufaktur) Science and Physics Education Journal (SPEJ) Jurnal AME (Aplikasi Mekanika dan Energi): Jurnal Ilmiah Teknik Mesin Jurnal Teknik Mesin Indonesia International Journal of Advanced Technology in Mechanical, Mechatronics and Material (IJATEC) JTTM: Jurnal Terapan Teknik Mesin Jurnal UNITEK Journal of Scientech Research and Development Journal of the Community Development in Asia International Journal of Innovation in Mechanical Engineering and Advanced Materials Aceh International Journal of Science and Technology Innovative: Journal Of Social Science Research Almikanika
Muhamad Fitri
Program Studi Teknik Mesin, Fakultas Teknik, Universitas Mercu Buana Jakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Influence of inorganic content on hydrochar quality from high-ash agar extraction waste via hydrothermal carbonization Andi Firdaus Sudarma; Edy Hartulistiyoso; Yohanes Aris Purwanto; Leopold Oscar Nelwan; Obie Farobie; Nono Darsono; Khuzaimah Arifin; Maharani Dewi Solikhah; Tri Yulni; Imam Hidayat; Muhamad Fitri; Edy Herianto Majlan
SINERGI Vol. 30 No. 3 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.3.005

Abstract

Agar solid waste (ASW) has potential as a feedstock for hydrochar production because of its organic content; however, its high inorganic fraction, predominantly silica, limits its application. Furthermore, studies specifically investigating the hydrothermal carbonization (HTC) of ASW remain limited, given its high ash content and low energy value. This study investigated the HTC of ASW at varying temperatures (180–220 °C) and reaction times (30–90 minutes), with particular emphasis on how two inorganic components (celite versus perlite) affect hydrochar yield, composition, and energy properties. The resulting hydrochars were characterized using CHNSO, proximate, SEM, and FTIR analysis. The results revealed high ash contents reaching 77.7–92.08%, corresponding to HHV of 2.3–3.4 MJ kg⁻¹, while FTIR spectra confirmed strong silica presence through prominent Si–O–Si absorption bands. Therefore, the study provides valuable insights into silica-rich biomass behavior during HTC. The study also evaluated the relationship between HHV and ash content and analyzed the kinetic model. The results demonstrate the significant influence of inorganic components on carbonization pathways, highlighting opportunities to enhance hydrochar quality through pretreatment strategies such as acid/alkaline leaching or mineral separation.
Multi-class gas pipeline leak detection using Hilbert transform and a lightweight convolutional neural network Dedik Romahadi; Aberham Genetu Feleke; Nur Indah; Dafit Feriyanto; Muhamad Fitri; Hadi Pranoto; Rachmat Muwardi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i5.pp4556-4567

Abstract

Ensuring the safety and sustainability of gas distribution networks depends heavily on the timely detection of pipeline leaks, since leaks that go unnoticed can cause substantial losses and create serious safety risks. When applied to multi-class leak types, however, conventional detection approaches often prove insufficiently accurate. To address this limitation, the present study proposes a novel multi-class gas pipeline leak detection approach based on acoustic signal analysis, aiming to enhance both detection accuracy and processing efficiency. In this approach, features are first extracted from leak-generated acoustic signals through application of the Hilbert transform, after which classification is performed using a lightweight convolutional neural network (CNN) architecture referred to as LightCNN. The method was tested using the gas pipeline leakage assessment-12 (GPLA-12) dataset, comprising 12 distinct leak categories. According to the evaluation outcomes, the proposed approach peaked at 96.18% accuracy while employing a more streamlined model architecture than earlier techniques. Overall, this work contributes meaningfully to advancing leak detection systems that are more reliable, faster, and more efficient, with potential for broad application across the gas pipeline industry and in signal processing technologies more generally.
Modification of Labwork Hydroelectric Power Generation simulation equipment Using VDI 2221 Method Murshali, Raihan; Fitri, Muhamad
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol. 15 No. 02 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

he utilization of water energy to generate electrical energy is carried out using a technology called Hydroelectric Power Plant (PLTA). Hydroelectric power plant simulation tools that use software are indeed practical, where students immediately get data and graphs of test results, however, as a result, students do not understand the measuring tools at all. And do not know how to measure data obtained in practicum. The hydroelectric system simulation tool located in the mechanical engineering laboratory of Mercu Buana University experienced trouble with the software so it could not be used. An analysis will be carried out on the hydroelectric simulation tool that will be modified. Therefore, the simulation tool needs to be modified, the modification is done using the VDI 2221 method. Modification of the hydroelectric system simulation tool with the VDI 2221 method so that it can display water discharge, turbine RPM, regulate turbine torque, generator output voltage and amperage. Based on the design results using the VDI 2221 method, 5 variant combinations were produced. Where the design variant 5 best meets the criteria and parameters that suit the needs of the hydroelectric system simulation tool, with an OWV value of 7.76 greater than other variant combinations. This OWV value is an ideal solution that suits the needs. Data processing from the test resulted in a pump brake horsepower of 946 watts, a pump water horsepower of 407.7 watts, a turbine power of 243.99 watts, and a generator output power of 175.2 watts.
Co-Authors Abdul Hamid Abdul Hamid Abdul Hamid Aberham Genetu Feleke Afrian, Roni Agus Hermawan Agus Noviana Agus Wibowo Ahmad Supendi AlSanousi, Dalal Alvian, Lutfi Aman Kelpia Andi Firdaus Sudarma Anton Heriawan Anugrah, Hasan Ardian, Rifky Dwi Ariansyah, Nando Arief, Sulaiman Aris Purwanto Azharuddin Azharuddin, Azharuddin Azizi, M Azizi, Muhammad Azriuddin, Muhammad Bambang Sukiyono Bustomi, Muhammad Ardi Dafit Feriyanto Daisy Mui Hung Kee Dalal AlSanousi Damanik, Fadth Rizky Darwin Sebayang Darwin Sebayang Dedik Romahadi Dedik Romahadi Deni Shidqi Khaerudini Dimas Dwi Saputra Edy Hartulistiyoso Edy Herianto Majlan Fadila, Muhammad Afif Fajar Anggara Frelly Rizqiansyah Glennart Sahat Rubian Hadi Pranoto Hadi Pranoto Hafidz Salafuddin Hafizzudin, Muhammad Hanifi, Rizal Hendrikus Wermasaubun I Gusti Ayu Arwati Imam Hidayat Imam Hidayat Iqbal Risyuma Irawan Malik kara, Reksi Bagas Kee, Daisy Mui Hung Kelpia, Aman Khariri, Muhamad Ervin Khuzaimah Arifin Kurniawan, Olivia Kurniawan, Rizki Nur Afami M. Azizi Maharani Dewi Solikhah Mahendra, Tito Syahril Sobarudin Izha Martua Limido Simanjuntak Maulana Yusuf Md Radwanul Karim Mizan, Adlan Mohamad Abror Muhammad Afiq Zakwan Muhammad Azriuddin Muhammad Edi Laksono Muhammad Hafizzudin Muhammad Imran Muhammad Rizky Imaduddin Muhammad Sulthan Yafiq Murshali, Raihan Nelwan, Leopold Oscar Nono Darsono Noviana, Agus Nur Indah Nurato Nurgiansyah, Rama Obie Farobie Okki Khusnul Mahmudin Oktaviani, Ana Nur Olivia Kurniawan Pradipta, Nanang K. Pramana, Putratama Aziz Pratama, Andrie Putra Ramadhan, Fajar Gilang Putratama Aziz Pramana R Dwi Pudji Susilo R. Dwi Pudji Susilo Rachmat Muwardi Rafi, Muhammad Miftah Rizki Nur Afami Kurniawan Rizky Fajar Sutrimo Rofiqie, Ahmad Rohmatulloh, Izzi S. Mahzan Santoso, Dwi Adi Shahruddin Mahzan Shahruddin Mahzan Shahruddin Mahzan Silvia, Vika Sitanggang, Maria Nelly Aprilianti Sri Bintang Faisal Susilo, R Dwi Pudji Susilo, R. Dwi Pudji Tarigan, Kontan Tito Syahril Sobarudin Izha Mahendra Tri Yulni Wermasaubun, Hendrikus Wibowo, Agus Setiawan Wirawanto, Teguh Yafiq, Muhammad Sulthan Yudhistira, Gilang Awan Zakaria Zakaria Zakwan, Muhammad Afiq