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All Journal Reaktor Jurnal Ilmu Lingkungan Eksergi: Chemical Engineering Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Buletin Ilmiah Sarjana Teknik Elektro Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Emitor: Jurnal Teknik Elektro
Mufandi, Ilham
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Veterinary

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The Characterization of Synthetic Zeolite for Hydrocracking of Waste Cooking Oil into Fuel Salamah, Siti; Aktawan, Agus; Mufandi, Ilham
Reaktor Volume 20 No.2 June 2020
Publisher : Dept. of Chemical Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.304 KB) | DOI: 10.14710/reaktor.20.2.89-95

Abstract

Zeolite A was used as hydrocracking catalyst to convert cooking oil into potential renewable fuels. The experiment was performed by characterize the diffraction, and pore properties the synthetic zeolite and it was confirmed the synthetic zeolite was zeolite A. The hydrocracking process of waste cooking oil was carried out in semi-fixed batch reactor system at 450° C for 2 hours, under the hydrogen flow of 20 ml/minute. The diffractogram and Si/Al ratio, 1.6, were matched to zeolite A properties, with the surface area, pore diameter, and pore volume were, 1.163 m2/g, 3.93 nm, and 0.001 cc/g, respectively. Liquid product from hydrocracking process of cooking oil consisted of 28.99% alkane and alkene 26.59% that are potential as renewable fuels.Keywords: waste cooking oil; zeolite A; hydrocracking
Pengaruh Lama Waktu Microwave Assisted Extraction (MAE) Terhadap Rendemen Gelatin Dari Ceker Ayam Kholis, Muhammad Nur; Mufandi, Ilham; Pratama, Yogi
Jurnal Penelitian Dan Pengkajian Ilmiah Eksakta Vol 4 No 1 (2025): Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jppie.v4i1.1738

Abstract

Gelatin is a collagen-derived product widely used in the food, pharmaceutical, and cosmetic industries. The extraction of gelatin from chicken bones requires efficient methods to increase yield and reduce energy consumption. One of the effective methods is Microwave-Assisted Extraction (MAE). This study aims to evaluate the effect of extraction time on gelatin yield and calculate the mass balance in the extraction process by MAE method. The research was conducted with variations in extraction time of 2, 3, and 4 hours. The results showed that the gelatin yield at extraction times of 2, 3, and 4 hours were 8.5%, 10.2%, and 12.1%, respectively. ANOVA test with a significance level of 0.05 showed a significant difference (p < 0.05), indicating that extraction time affects the yield. Mass balance was calculated to evaluate the efficiency and mass distribution at each extraction stage. The results showed that longer extraction time increased the yield, with 4 hours yielding the highest yield. This study concludes that MAE increases gelatin yield, but needs further optimization in terms of time and energy efficiency.
Synthesis and Optimization of Snake Fruit Peel Ash-Derived Silica for Iron (Fe) Removal from Batik Wastewater Salamah, Siti; Mufandi, Ilham; Jumiati, Jumiati; Fadhilah, Ainun
Jurnal Ilmu Lingkungan Vol 23, No 1 (2025): January 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.1.54-61

Abstract

The byproduct of the batik industry is a liquid waste containing heavy metals like iron (Fe) which can be harmful to the environment and aquatic ecosystems. The aim of this study is to synthesize and optimize silica derived from snake fruit peel ash as an adsorbent for iron (Fe) in the liquid waste of the batik industry. Snake fruit peel is often overlooked as waste and is identified to have a high silica content. The research method was carried out in the calcination process at a temperature of 650°C for 1 hour to convert and change the snake fruit peel powder into ash, then extracted using a 2M HCl solution. The final stage of silica synthesis is drying and grinding. The Silica characterization was analyzed using the FTIR (Fourier Transform Infrared Spectroscopy) and Surface Area Analyzer (SAA) tests.  The metal content in the waste was analyzed with AAS (Atomic Absorption Spectrometer). The results showed that the silica from snake fruit peel ash contains silica constituent groups, namely silanol (Si-OH), as an active site for the adsorption process. The surface area of the silica is around 56.347 m2/g, the total pore volume is about 0.0193 cc/g, and the average pore diameter is approximately 26.6745 mm. The application test on batik liquid waste showed a decrease in Fe concentration from 0.487 mg/L to 0.343 mg/L at contact time of 60 minutes. This research proves that silica from snake fruit peel ash offers an innovative and sustainable solution for the treatment of batik industry liquid waste and in other liquid waste processing.
Implementation of Conversational Artificial Intelligence in a3-Dimensional Game onWaste Impact Pradhana, Faisal Reza; Mufandi, Ilham; Musthafa, Aziz; Arifah, Dian Afif; Al Kahfi, Khairul Munzilin
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 3 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i3.4755

Abstract

The escalating volume of waste in Indonesia presents significant environmental challenges, primarilydue to insufficient public awareness and engagement. This study aimed to develop a dynamic threedimensionalsimulation game to enhance young people’s understanding of the environmental impactsof waste. The game integrates conversational artificial intelligence technology to create non-playablecharacters that engage users in natural text and voice dialogues. The research employed a research anddevelopment approach following the Software Development Life Cycle waterfall method, encompassingstages of analysis, design, implementation, testing, and maintenance. The game design adopted theMechanical, Dynamic, and Aesthetic framework method. It implemented a first-person perspective tocreate an immersive learning experience: evaluation involved functionality tests, expert reviews, anduser trials. The functionality testing achieved a perfect score of 100 percent, while evaluations by educationaltechnology experts yielded an average score of 94 percent for content quality and interfacedesign. User trials, conducted with individuals aged 10 to 18, indicated a high level of satisfactionwith an average score of 86 percent. These results conclude and demonstrate that integrating conversationalartificial intelligence into a simulation game provides an engaging and effective educationaltool to raise environmental awareness. Nonetheless, the study highlights the need for ongoing supportfrom parents and educators to cultivate sustainable waste management practices among young people.Future research should focus on expanding the game’s scope and evaluating its long-term impact onusers’ environmental literacy.
Adsorption of Lead (Pb2+) Using Biochar Derived from Bamboo Waste Pyrolysis Mufandi, Ilham; Kholis, Muhammad Nur; Hamawi, Mahmudah; Ardani, Much Taufik; Kusuma, Hafidha Ayu
Jurnal Ilmu Lingkungan Vol 23, No 5 (2025): September 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.5.1205-1212

Abstract

The increasing of industrial activities and urbanization have led to the accumulation of heavy metals, which pose a high risk to human health and ecosystems. Adsorption using biochar from bamboo waste is an alternative solution as an adsorbent. This study evaluated the performance of biochar from pyrolysis of bamboo waste at various temperatures (300–600°C) for adsorption of lead (Pb²⁺) ions. The pyrolysis was conducted under a nitrogen gas atmosphere to prevent oxidation during thermal decomposition. Fourier Transform Infrared (FTIR) analysis revealed an increase in the stability of carbonyl (C=O) and carbon–nitrogen (C–N) functional groups with increasing temperature, which contributed to a stronger affinity for metal ions. Brunauer–Emmett–Teller (BET) analysis showed that biochar produced at 400 °C exhibited the most favorable surface characteristics, with a surface area of 178.56 m²/g, a pore volume of 0.091 cm³/g, and an average pore diameter of 2.05 nm. This sample also demonstrated the highest Pb²⁺ adsorption capacity of 52.4 mg/g. Despite higher porosity, the biochar produced at 600 °C showed diminished adsorption efficiency due to pore structure collapse and decreased carbon content. The findings suggest that biochar synthesized at 400 °C has strong potential for use in environmental remediation applications, particularly in mitigating lead contamination in water systems.
Design of Smart Hotstage-Microscopy for Enhancing Thermal Behaviour in Drug Melting Process Ramadhani, Muhammad; Yudhana, Anton; Budi Setianto, Arif; Mega Reski4, Julia; Cahya Subrata, Arsyad; Mufandi, Ilham; Jendri
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i1.7320

Abstract

The melting point of medicine is an important factor to determine the purity of medicinal raw materials, thermal behavior is closely related to the melting process of that. This research focuses on developing an intelligent Smart Hotstage-Microscopy prototype to observe thermal behavior in the drug melting process. This prototype heats the drug evenly on a hot plate equipped with a polarizing microscope, thermocouple sensor, microcontroller, and LCD display to view the temperature reading results. The performance of the Smart Hotstage-Microscopy prototype was obtained by testing the thermocouple sensor, heating system, cooling system, and drug validation. In this paper the test results show that the thermocouple sensor test has an R2 value of 0.9983, which shows that the correlation between the actual temperature and the hot part temperature shows a significant correlation, which is 99.83%. Testing the heating system from an average temperature of 28.57°C to the average temperature of 298.59°C took an average time of 11.28 minutes. Meanwhile, testing the cooling system took 5.19 minutes to reduce the temperature from average 298.59°C to 33.379°C. This test proves that the prototype of Smart Hotstage-Microscopy can work well in melting drugs
Early Detection of Disease in Chicks Using CNN on Bangkok Chicken Health Dwicahyo, Agung; Mufandi, Ilham; Nurfadila, Agustin Rani; Ardani, Much. Taufik; Dzilhilmi, Ubaid
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 2 (2024): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i2.10245

Abstract

Bangkok Chicken (Gallus Gallus Domesticus) is a type of chicken in Indonesia that has a high source of protein and supports the community's economy. The growth and development phase of chicks is a critical period because chicks are very vulnerable to attacks by infectious and non-infectious diseases. These diseases can cause high mortality rates and cause significant economic losses for farmers. This study aimed to investigate the potential for using CNN technology in the early detection of disease in Bangkok chicks in the Ponorogo district. As an artificial neural network, CNN can recognize patterns in visual data with high accuracy. The use of CNN technology in the agricultural sector, including animal husbandry, has shown promising results in supporting early disease detection systems in livestock. This study aims to investigate the potential of using CNN technology in the early detection of disease in Bangkok chicks in the Ponorogo district. By processing visual data from chicken images, CNN will be trained to identify early signs of disease in chicks. The result of this research is that this research can help maintain the availability and security of animal food supplies, which is an essential component of overall food security. In addition, by reducing losses caused by disease, this research can contribute to sustainable agriculture by ensuring the continuation of stable and sustainable animal food production.
Evaluation of Chicken Bone-Derived CaO Catalyst for biodiesel production from waste cooking oil Mufandi, Ilham; Kholis, Muhammad Nur; Rahmawan, Arief; Suntivarakorn, Ratchaphon; Nugraha, Dhaifullah Nafis; Alana P, Raka Wyztyo
Eksergi Vol 21 No 2 (2024)
Publisher : Prodi Teknik Kimia, Fakultas Teknik Industri, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/e.v21i2.12254

Abstract

This research explores the use of waste cooking oil (WCO) into biodiesel and adding a calcium oxide (CaO) catalyst derived from chicken bone waste. The synthesized CaO catalyst was characterized using FTIR and SEM to determine its structural and chemical properties. Biodiesel production experiments were carried out at a temperature of 60°C with an oil-to-methanol ratio of 9:1 and a CaO catalyst load of 5% concentration. The biodiesel produced is characterized by its main quality parameters, including flash point, density, acid number, viscosity, and heating value. The research results show that the CaO catalyst contains various organic compounds, including haloalkanes, 1,2-disubstituted functional groups, primary alcohols, aromatic compounds, and alcohols. In addition, the CaO catalyst contains mineral compositions such as calcium, carbon, oxygen, sodium, magnesium, and phosphorus. Biodiesel yield increases significantly with increasing catalyst loading, reaching a maximum of 92.70% at 15% catalyst loading. This research shows the effectiveness of the CaO catalyst derived from chicken bone waste for environmentally friendly biodiesel production using microwave technology.
Effect of Temperature and N-Doping on the Distribution of Bamboo Waste Pyrolysis Products Using Quartz Tube Furnace Mufandi, Ilham; Kholis, Muhammad Nur; Hamawi, Mahmudah; Ardani, Much Taufik; Kusuma, Hafidha Ayu
Eksergi Vol 22 No 1 (2025)
Publisher : Prodi Teknik Kimia, Fakultas Teknik Industri, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/eksergi.v22i1.14128

Abstract

This study investigates the effect of temperature and nitrogen doping (N-Doping) on the pyrolysis of bamboo waste to optimize the distribution of biochar, bio-oil, and gas products. Bamboo waste as raw material was applied to pyrolysis in a quartz tube furnace reactor at temperatures of 300°C, 400°C, 500°C, and 600°C under two atmospheric conditions: pyrolysis with nitrogen (PN) and pyrolysis without nitrogen (PWN). Results reveal that temperature significantly influences product distribution, with bio-oil yield peaking at 500°C (52% in PN) and decreasing at higher temperatures due to secondary cracking. Nitrogen doping enhances bio-oil production by preventing oxidation and reducing secondary reactions, leading to a bio-oil yield increase from 16.52% in PWN to 55.32% in PN at 500°C. Conversely, PWN conditions resulted in higher biochar yield due to partial oxidation. Gas yield increased at elevated temperatures in both conditions, attributed to thermal cracking and reformation processes. These findings emphasize the importance of controlled temperature and atmospheric conditions in maximizing the efficiency and product quality of bamboo waste pyrolysis. The results provide valuable insights into sustainable biomass conversion strategies, contributing to renewable energy development and bamboo waste valorization.
Co-Authors Agung Dwicahyo Agus Aktawan, Agus Agustin Rani Nurfadila Ainun Fadhilah Al Kahfi, Khairul Munzilin Alana P, Raka Wyztyo Anton Yudhana Ardani, Much Taufik Ardani, Much. Taufik Arief Rahmawan Arifah, Dian Afif Aziz Musthafa Budi Setianto, Arif Cahya Subrata, Arsyad Dzilhilmi, Ubaid Faisal Reza Pradhana Hamawi, Mahmudah Jendri Jumiati Jumiati Kusuma, Hafidha Ayu Mega Reski4, Julia Muhammad Nur Kholis Muhammad Nur Kholis Muhammad Nur Kholis, Muhammad Nur Nugraha, Dhaifullah Nafis Pratama, Yogi Ramadhani, Muhammad Siti Salamah Suntivarakorn, Ratchaphon