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All Journal Rekayasa Mesin DINAMIKA Jurnal Ilmiah Teknik Mesin Journal of Mechanical Engineering Science and Technology Jurnal Rekayasa Material, Manufaktur & Energi CARADDE: Jurnal Pengabdian Kepada Masyarakat ABDIMAS SILIWANGI Infotekmesin Scientific Journal of Mechanical Engineering Kinematika Jurnal Dinamis Community Empowerment Mechanical Engineering for Society and Industry Automotive Experiences Jurnal Pengabdian Masyarakat Abdimas Dinamis
Hendry Y. Nanlohy
Department Of Mechanical Engineering, Jayapura University Of Science And Technology, Jayapura, 99351, Indonesia
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

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Artificial Neural Network-Based Modeling of Performance Spark Ignition Engine Fuelled with Bioethanol and Gasoline Marianingsih, Susi; Mar’i, Farhanna; Nanlohy, Hendry Y.
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 7, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v7i22023p190

Abstract

Machine learning technology can distinguish the relationship between engine characteristics and performances. Therefore, the goal of the present work is to predict the performance parameters of a single-cylinder 4-stroke gasoline engine at different ignition timings using a blended mixture of gasoline and bioethanol by an artificial neural network (ANN). Experimental data for training and testing in the proposed ANN was obtained at a dynamic speed and full load condition. An ANN model was developed based on standard Back-Propagation algorithm for the spark ignition engine. Multi-layer perception network (MLP) was used for non-linear mapping between the input and output parameters. An optimizer in the family of quasi-Newton methods (lbfgs) and the rectified linear unit function were used to assess the percentage error between the desired and the predicted values. The network input parameters are engine speed, fuel, and ignition timing. Furthermore, torque, power, specific fuel consumption (SFC), thermal efficiency (ηth), and energy consumption (EC) are taken as output parameters. The results show that ANN is the proper method for predicting SIE performance because it has accurate prediction results that are very similar to experimental results. Moreover, from the observation results, the ANN model can predict the engine performance quite well with correlation coefficient (R)=0.962139 and MSE=0.003967 for data testing.
Computational Fluid Dynamics Analysis of Temperature Distribution in Solar Distillation Panel with Various Flat Plate Materials Trismawati, Trismawati; Nanlohy, Hendry Y.; Riupassa, Helen; Marianingsih, Susi
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um0168i12024p108

Abstract

As the world population continues to grow, the demand for clean water is increasing daily, making it a crucial resource to access. However, there are ways to harness abundant resources like solar energy and seawater to produce clean water. The present studies have conducted experimental investigations to convert seawater into freshwater using solar stills, where solar energy is utilized as the primary heat source for evaporation. The temperature distribution inside the solar stills was analyzed using a flat plate made of three different materials: copper, stainless steel, and aluminum. To examine the temperature distribution and performance of the solar stills, researchers employed computational fluid dynamics simulations (Ansys R15.0). The results showed variations in temperature distribution among the three plate materials. Copper flat plates achieved the highest temperature, approximately 44.5 Celsius, followed by aluminum at 43.91 Celsius, while stainless steel exhibited the lowest temperature at around 42.01 Celsius. The average heat flux across the three materials was approximately 581 W/m2. Additionally, observations indicated that the amount of convection occurring in copper flat plates was 121.108 Watts; in aluminum, it was 118.517 Watts; and in stainless steel, it was 105.05 Watts. The radiation energy for stainless steel flat plates was 29.93 W; for copper, 16.14 W; and for aluminum, 13.49 W.
Karakterisasi Arang Karbon Hasil Pirolisis Limbah Kulit Pinang Dengan Dan Tanpa Ethanol Sebagai Aktivator Peday, Harold Thijs Nadyo; Sialana, Jufri; Mini, Marthina; Nanlohy, Hendry Y
Rekayasa Material, Manufaktur dan Energi Vol 8, No 1: Januari 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i1.21862

Abstract

Activated carbon is a crucial material widely used in various applications, including water purification and waste treatment. Areca nut husk, often regarded as waste, shows great potential as an alternative raw material for activated carbon. This study aims to characterize the structure and chemical properties of activated carbon derived from areca husk waste through an ethanol activation process. The activation process was conducted to enhance the porosity and surface area of the activated carbon, thereby increasing its adsorption capacity. Microstructure observations, XRD, TGA, and FTIR analyses were conducted to evaluate the quality of the activated carbon. The results showed that activated carbon with activation has a more complex pore structure, higher crystallinity, and additional functional group such as hydroxyl, which improve adsorption capacity and thermal stability. This study demonstrates that ethanol-activated areca husk has significant potential for various environmental and industrial applications.
Karakteristik Penyalaan Droplet Minyak Kelapa Dengan Campuran Biokatalis Karbon Aktif Kulit Pinang Walintukan, Akbar Vicky V; Riupassa, Helen; Nanlohy, Hendry Yoshua
Rekayasa Material, Manufaktur dan Energi Vol 8, No 1: Januari 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i1.21756

Abstract

This study aims to reveal the combustion characteristics of coconut oil as an alternative fuel by adding active bio-carbon catalysts from areca nut skin. 1-3 ppm catalysts reduce viscosity, so the fuel quickly absorbs heat and ignites. This study uses the www droplet ignition method to increase the contact area between air and fuel so that the reactivity of fuel molecules increases. The results showed that adding areca nut skin-activated carbon catalysts improved fuel performance, whereas coconut oil fuel can absorb heat and release energy quickly. This was clarified from the results of the TGA test, where when compared with a mixture of 1 to 3 ppm, it was seen that the mix of coconut oil with a two ppm catalyst was the most effective because it had a high temperature with a stable heat flow. These results indicate that activated carbon from areca nut skin has excellent potential to be used as a biocatalyst for environmentally friendly and economical vegetable oil.
Captivating Combustion Traits of Bio-Oil Droplets Enriched with Bio-Additives from the Areca Shell Waste Raehan, Muhammad Alif; Riupassa, Helen; Nanlohy, Hendry Yoshua
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v8i22024p384

Abstract

Fuel derived from crude vegetable oil, such as coconut oil, holds promise as an alternative energy source to mitigate the increasing reliance on fossil fuels driven by population growth and industrial activities. The experiment involved suspending a single droplet of crude coconut oil mixed with activated carbon from areca shell waste and placed at the junction on R-type thermocouple (Pt/Pt-Rh13%). The droplets were ignited using a hot wire and subjected to atmospheric pressure and room temperature. Coconut oil comprises a saturated triglyceride carbon chain compound of approximately 91%, and areca shell waste possesses a porous structure that fosters favorable interactions between fuel molecules. The droplet combustion method was selected to streamline the process and enhance the contact area between air and fuel, thereby boosting the reactivity of fuel molecules. The research found that adding activated carbon shortens the carbon chain, making it more reactive and easier for the fuel to ignite. Specifically, activated carbon significantly enhances fuel performance at a concentration of two parts per million (ppm). At this level, the fuel absorbs heat more effectively and ignites faster compared to one ppm and three ppm levels. Moreover, the results show that heat absorption occurs slowly at one ppm, while at three ppm, the increased molecular mass of the fuel can strengthen carbon-bonding forces. These factors contribute to a longer ignition time for the fuel. The findings suggest that the activated carbon from areca shell waste can play a good role as a combustion catalyst, where overall, fuel performance increases.
Comprehensive analysis of tar reduction method in biomass gasification for clean energy production: A Review Prasetiyo, Dani Hari Tunggal; Sanata, Andi; Sholahuddin, Imam; Nashrullah, Muhammad Dimyati; Nanlohy, Hendry Y.; Panithasan, Mebin Samuel
Mechanical Engineering for Society and Industry Vol 4 No 3 (2024): Special Issue on Technology Update 2024
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.12712

Abstract

Biomass gasification is a promising renewable energy technology for the production of synthetic gas (syngas), consisting of hydrogen (H₂), carbon monoxide (CO), and methane (CH₄). This technology's primary challenge is tar formation – a heavy hydrocarbon compound that can block equipment, poison catalysts, and deteriorate syngas quality. Therefore, this study aimed to examine different tar reduction methods to support clean energy production through biomass gasification. To achieve this aim, two main approaches were adopted and the first was in-situ, focusing on modifying gasifier design and adjusting operational parameters. The second was ex-situ, which included catalytic reforming, thermal cracking, and plasma technology. The analysis also assessed different catalysts, such as biochar, and dolomite, as well as nickel- and iron-based materials, comparing their efficiency, sustainability, and economic viability. Several key factors influenced tar formation and reduction, namely feedstock type, operating temperature, air ratio, and reactor configuration. The result showed that combining in-situ and ex-situ technologies had substantial potential to significantly reduce tar, improve syngas quality, and optimize system performance. However, some challenges observed were reduced catalyst efficiency, high energy costs, and the need for more sustainable technologies. To improve the performance of gasification systems, this study provided information on catalyst development, operational parameter optimization, and plasma technology integration. Finally, the analysis provided a scientific basis and strategic recommendations to overcome tar problems and encourage the commercial use of biomass gasification towards a clean energy transition.
A Review of the artificial neural network’s roles in alternative fuels: Optimization, prediction, and future prospects Nanlohy, Hendry Y.; Marianingsih, Susi; Utaminingrum, Fitri
Mechanical Engineering for Society and Industry Vol 4 No 3 (2024): Special Issue on Technology Update 2024
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.12742

Abstract

Artificial Neural Networks (ANN) are increasingly employed in alternative fuels to enhance efficiency and mitigate environmental impacts. This article comprehensively reviews the application of ANNs in modeling, optimizing, and predicting the properties of various alternative fuels. ANNs excel at capturing the complex non-linear relationships inherent in these fuels' physicochemical properties and combustion processes, which can be challenging to forecast using traditional mathematical models. By leveraging ANNs, combustion parameters can be optimized, thereby improving fuel efficiency, reducing exhaust emissions, and enhancing overall engine performance. Additionally, this research explores the effective use of ANNs in forecasting engine performance and emissions for alternative fuels, while also addressing key challenges, including the need for high-quality data and the optimization of algorithms for better accuracy. Additionally, the article considers the future potential of ANNs in supporting sustainable energy development and facilitating the transition to a green fuel economy. With advancements in computing technology, ANNs are anticipated to remain a vital instrument in the progression of alternative fuel research and its associated applications.
Enhancing clean water management skills for public health in Lake Sentani Andika Prasetya; Calvin R. Rumansara; Bambang Suhartawan; Suyatno Suyatno; Helen Riupassa; Marthina Mini; Hendry Y. Nanlohy
Community Empowerment Vol 9 No 4 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.11304

Abstract

Lake Sentani has an area of around 9,630 hectares and is situated at an altitude of 72 meters above sea level. Its water is consistently utilized by the residents of Yobeh Village for drinking, cooking, bathing, washing, and toileting. This activity directly impacts the cleanliness and quality of the lake water, consequently affecting public health. Observations have revealed that the community, especially children, suffer from negative impacts such as diarrhea and stomachaches. Hence, the objective of this community service activity is to enhance the understanding and skills of village communities in obtaining clean and hygienic water from Lake Sentani. The methods employed include socialization, training, and mentoring. The outcomes show that the community has developed a new mindset regarding the water potential of Lake Sentani and has acquired excellent skills in managing the lake water to ensure its cleanliness and healthiness.
Peran Nano Biokarbon Aktif Dari Kulit Pinang Terhadap Karakteristik Pembakaran Droplet Minyak Biji Bunga Matahari Harsanta, Bagus E.; Riupassa, Helen; Nanlohy, Hendry Y.
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2526

Abstract

Continuous exploitation of fossil fuels causes scarcity, so appropriate solutions and policies are needed. One of these solutions is to utilize vegetable oil, and one of them comes from sunflower seed oil, which contains 17% oleic fatty acid and around 73% linoleic. However, its high viscosity, making it difficult to burn, hampers its use as an alternative fuel. Therefore, efforts are made to reduce its viscosity. One of these efforts is to add a catalyst in the form of active nano bio carbons derived from areca nut skin. Droplet combustion is chosen to increase the contact area between air and fuel so that the reactivity of fuel molecules increases. The study's results showed that the quality of fuel produced from a mixture of sunflower seed oil and active nano biocarbon from areca nut skin was improved. It was found that a concentration of 1 ppm was the best compared to other concentrations (2 and 3 ppm). It can be seen that it was able to reduce the viscosity of sunflower seed oil to 11.16 cSt, reduce the flash point at 138°C, and can increase the droplet combustion rate by around 2.05 seconds.
PEMBERDAYAAN WARGA KAMPUNG SUSKUN KABUPATEN KEEROM MELALUI PENGEMBANGAN USAHA BRIKET BERBASIS LINGKUNGAN Usman, Syamsudin; Haurissa, Jusuf; Mini, Mathina; Nanlohy, Hendry Y.
JURNAL ABDIMAS DINAMIS : JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 6 No 2 Juni (2025): Abdimas Dinamis
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat USTJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58839/jad.v6i2.1531

Abstract

Kegiatan ini bertujuan menyelesaikan permasalahan ekonomi masyarakat di Kampung Suskun, Kabupaten Keerom, melalui pendekatan pemberdayaan dan pengembangan usaha briket ramah lingkungan. Permasalahan utama mitra mencakup keterbatasan ekonomi, kurangnya keterampilan wirausaha dan manajerial pemasaran, serta ketiadaan modal dan motivasi usaha. Pada tahun 2024, masyarakat Kampung Suskun telah mendapatkan pelatihan pembuatan briket kotak dan briket sarang lebah dari limbah kelapa sawit dan ampas sagu melalui Program Kemitraan Masyarakat (PKM) Ristekdikti. Hasil pelatihan menunjukkan peningkatan keterampilan teknis dan pemahaman awal tentang potensi usaha briket. Melanjutkan keberhasilan tersebut, kegiatan ini difokuskan untuk menumbuhkan usaha mikro berbasis briket bagi kelompok Tani Bogof Jaya, yang anggotanya mayoritas ibu rumah tangga tanpa pengalaman kewirausahaan. Usaha briket, meskipun bukan hal baru di Indonesia, merupakan inovasi lokal di Kabupaten Jayapura yang belum dikembangkan secara ekonomi. Luaran kegiatan ini adalah terbentuknya unit usaha mikro yang mampu memberikan penghasilan tambahan bagi keluarga anggota masyarakat.
Co-Authors Abdul Basit Abdul Basit Andi Sanata Andi Sanata Andika Prasetya Armanda Putri, Fellicia Roshita Bambang Suhartawan Basri Katjo Bonefasius Bao Bosta Sihombing Calvin R. Rumansara Dani Hari Tunggal Prasetiyo Fadliyanur Fairuddin, Fairuddin Feri Oktapiyanor Franciscus Xaverius Kristianta Gazpar BAO Harsanta, Bagus E. Haurissa, Jusuf Helen Riupassa Herman Tjolleng Taba Hotnida Nainggolan I Gusti Ketut Puja I Made Rasta Imam Sholahuddin Imam Sholahuddin Imam Sholahuddin Indrati, Wahyu Iriyanto, Santje M Iriyanto, Santje Magdalena Klinus Toker Kurnia Iswardani Manullang, Evanita Veronica Mar'i, Farhanna Marianingsih, susi Marla Sheilamita Shalin Pieter Marthina Mini Marthina Mini Marthina Mini Marthina Mini, Marthina Martina Mini Masaki Yamaguchi Masaki Yamaguchi Mastina Maksin Mebin Samuel Panithasan Mebin Samuel Panithasan Mini, Mathina Muchsin Muchsin Muhammad Akhlis Rizza Muhammad Dimyati Nashrullah Muhammad Dimyati Nashrullah Muhammad Maulana Asyhar Muji Setiyo Mustafafi, Wanda Zahratul Nasrul Ilminnafik Nevada. J. M. Nanulaitta Novitasari, Riza Panithasan, Mebin Samuel Peday, Harold Thijs Nadyo Rachmat Subagyo Raehan, Muhammad Alif Renny Chandra Puspitadewi Rolling Gasperzs Rolling S. Gaspersz Safira, Meilani Satworo Adiwidodo Selcuk Sarikoc Sialana, Jufri Susi Marianingsih Suyatno Suyatno Suyatno Suyatno Suyatno Syamsudin Usman Takuya Tomidokoro Timang, Rison Sando trismawati Trismawati Trismawati Trismawati Trismawati Trismawati, Trismawati Usman, Syamsudin Utaminingrum, Fitri Walintukan, Akbar Vicky V Widodo Widodo Yamaguchi, Masaki Yuni Hermawan