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All Journal Teknika: Jurnal Sains dan Teknologi EduChemia: Jurnal Kimia dan Pendidikan Syntax Literate: Jurnal Ilmiah Indonesia Journal of Materials Exploration and Findings Metalurgi
Dhaneswara, Donanta
Department Of Metallurgical And Material Engineering, Universitas Indonesia
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Other

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Perancangan Program Pengestimasi Probabilitas Kegagalan Peralatan Penukar Panas Akibat Korosi Seragam Berbasis Deep Neural Network Fatriansyah, Jaka Fajar; Dhaneswara, Donanta; Hanifa, Muthia; Hartoyo, Fernanda; Pradana, Agrin Febrian; Anis, Muhammad; Fauzi, Andrian
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.943 KB) | DOI: 10.36418/syntax-literate.v8i3.11486

Abstract

Meningkatnya standar keamanan dan ketatnya persaingan antar perusahaan meningkatkan kebutuhan bagi suatu perusahan untuk mengendalikan kegagalan pada peralatan. Inspeksi secara teratur dilakukan sebagai bagian dari rangkaian pemeliharaan dan manajemen integritas peralatan. Dalam merencanakan dan melakukan inspeksi, diperlukan strategi yang tepat agar inspeksi yang dilakukan tepat sasaran dan sesuai dengan kebutuhan. Risk-based inspection merupakan teknik pengambilan keputusan dalam perencanaan pemeliharaan yang berdasar pada risiko. Pada saat ini, penggunaan metode-metode kecerdasan buatan untuk kegiatan penilaian risiko, pemodelan konsekuensi, dan perencanaan pemeliharaan telah dilakukan. Penelitian ini bertujuan untuk mengembangkan suatu program yang memanfaatkan pembelajaran mesin dan kecerdasan buatan untuk melakukan penilaian salah satu komponen risiko yaitu probabilitas kegagalan (Probability of Failure, PoF) pada bagian cangkang dalam peralatan penukar panas menggunakan deep learning. Model ini dapat membantu operator yang bekerja di bidang minyak dan gas untuk menentukan tingkatan risiko sehingga inspeksi dapat dilakukan dengan lebih efisien dan terarah. Penelitian ini menghasilkan sebuah program dan disain program pembelajaran mesin berbasis deep learning yang digunakan untuk memprediksi risiko kegagalan akibat korosi seragam pada peralatan sisi dalam cangkang peralatan penukar panas cangkang dan buluh (shell-and-tube heat exchanger) berdasarkan standar API 581 dengan akurasi sebesar 89% yang didapatkan dengan parameter-parameter diantaranya learning rate sebesar 0.001, epoch sebesar 150, random state sebesar 60, tiga hidden layer, dan test size sebesar 0.2.
Remaining Life Assessment and Fitness for Service Evaluation of Aging Chemical Reactors in Polyethylene Terephthalate Resin Industry Munthe, Aditya Pahlawan; Dhaneswara, Donanta; Putra, Wahyuaji Narottama; Widyaputra, Gama
Journal of Materials Exploration and Findings Vol. 4, No. 2
Publisher : UI Scholars Hub

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Abstract

Aging chemical reactors in the polyethylene terephthalate (PET) resin industry require comprehensive evaluation to ensure safe continued operation. This study conducts a remaining life assessment (RLA) and fitness-for-service (FFS) evaluation on five 30-year-old reactors, based on API 510, API 579/ASME FFS-1, and ASME BPVC Section VIII Div. 1 standards. The analysis involves corrosion rate measurement, future corrosion allowance (FCA) projection, and minimum thickness verification. Among the reactors, R-120 was found to have the shortest remaining life less than 15 years. FFS assessments using three criteria Average Measured Thickness, MAWP from Point Thickness Readings, and Minimum Measured Thickness confirm that R-120 meets all safety requirements. The head and shell thicknesses exceed the minimum allowable values; calculated MAWPr values are above the design MAWP; and thicknesses adjusted for FCA remain above 50% of the minimum required. These results indicate that R-120 remains fit for continued service. This study underscores the critical role of standardized assessment and routine inspection in extending the safe operating life of aging process equipment
Spin Coater Design with PID Algorithm Using Polynomial Regression Approach and Bias Tuning for TiO2 Deposition Process Andika, Geo Surya; Sofyan, Nofrijon; Dhaneswara, Donanta; Yuwono, Akhmad Herman
Journal of Materials Exploration and Findings Vol. 4, No. 1
Publisher : UI Scholars Hub

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Abstract

The thin-film deposition technique using spin coating offers a cost-effective alternative to Chemical Vapor Deposition (CVD) and Physical Vapor Deposition (PVD). The spin-coating process requires precise control of the motor drive system to ensure that the rotational speed, measured in rotations per minute (RPM), aligns with the set point and remains stable. This study presents the design and development of a spin coater prototype to achieve uniform thin-film deposition. The control method employed utilizes a Proportional-Integral-Derivative (PID) algorithm, incorporating a polynomial approach with bias tuning. The PID control was chosen to achieve stable operation in a non-linear system. The performance of the non-linear PID control system is compared with an open-loop control system by evaluating the overshoot behavior. In the first experiment, a proximity sensor was tested to measure the spin coater motor's speed in an open-loop control configuration. The performance was evaluated using Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) metrics, with results showing an MAE of 1358.6 RPM and a MAPE of 23.13% compared to a tachometer. In the second experiment, step-response testing was conducted using a closed-loop PID control system with a polynomial approach and bias tuning. Compared to the open-loop system, the closed-loop PID controller reduced overshoot to less than 3%. The RPM deviation between the spin coater and the tachometer was limited to range, approaching ideal conditions. The closed-loop control was tested within the 5000–9000 RPM range, where stable RPM regulation resulted in more uniform TiO2 thin-film distribution on glass substrates. This study highlights the effectiveness of closed-loop PID control in achieving precise rotational control, which is essential for enhancing the quality of thin-film deposition.
Characteristics of Carbonaceous Materials Synthesized from Palm Oil Empty Fruit Bunch Waste Using Ferrocene Catalyst Shahab, Ahmad Nabil; Islam, Adinda Izzatul; Wardana, Afif; Yahya, Ilham Nur Dimas; Amalia, Ary Yanuar Tri; Sofyan, Nofrijon; Dhaneswara, Donanta
Journal of Materials Exploration and Findings Vol. 4, No. 1
Publisher : UI Scholars Hub

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Abstract

The synthesis of carbonaceous materials for reduced graphene oxide (rGO) precursors using oil palm empty fruit bunches waste as a carbon source offers a sustainable solution for waste management in the palm oil industry while delivering high-performance materials. The oil palm empty fruit bunches were carbonized, followed by acid washing, pyrolysis with ferrocene (8%, 12%, and 16% variations), and ultrasonication to produce rGO. The structural, electronic, and morphological properties of the rGO were analyzed using various characterization techniques. The band gap values decreased with increasing ferrocene concentration, from 1.14 eV (8%) to 1.06 (16%), indicating enhanced electronic conductivity. XRD analysis revealed a crystal size increase from 11.3 nm (8%) to 181 nm (16%), while Raman spectroscopy showed a consistent D to G intensity ratio of 0.85, indicating reduced structural defects. SEM-EDS results demonstrated a carbon to oxygen atomic ratio of 4.38 (8%), 3.79 (12%), and 3.77 (16%), confirming successful reduction and improved carbon content. These finding highlight the potential of rGO synthesized from oil palm empty fruit bunches for applications in semiconductors, energy storage, and gas sensing, offering an innovative approach to sustainable materials development.
Assessment of The Melt Quality of a 30% Scrap ADC12 Aluminium Alloy using The Inclusion and Fluidity Measurement Instrument (IFMI) With Mullite Ceramic Filters Ruri Lestari, Gusti Ruri; Riswan, Sandya Ananda; Anis, Muhammad; Ashari, Ahmad; Ayuningtyas, Paramita Vidya; Suharno, Bambang, Prof; Dhaneswara, Donanta
Journal of Materials Exploration and Findings Vol. 4, No. 3
Publisher : UI Scholars Hub

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Abstract

The increasing demand for sustainable practices in the metal casting industry has driven the use of recycled aluminum alloys such as ADC12. However, the addition of aluminum scrap tends to increase oxide inclusions, which reduce melt fluidity and compromise casting quality. This study utilizes the Inclusion and Fluidity Measurement Instrument (IFMI), equipped with mullite ceramic filters, to assess the melt quality of ADC12 aluminum alloy containing 30% scrap. Fluidity and inclusion characteristics were evaluated at five pouring temperatures (660°C, 680°C, 700°C, 720°C, and 740°C). The results show that fluidity increased with temperature, reaching a peak of 84.6 g·s⁻¹ at 740°C, before declining due to excessive oxide inclusions. Quantitative analysis revealed that the average inclusion volume decreased from 0.257% in unfiltered samples to 0.114% in filtered ones, confirming the effectiveness of the filtration system. These findings demonstrate that IFMI can be used as a practical and real-time tool to evaluate melt quality in foundry applications, particularly when processing secondary aluminum alloys.
An Overview of Biomass-Derived Graphene Oxide and Its Characteristics for Future Sustainable Applications Wardana, Afif; Shahab, Ahmad Nabil; Dhaneswara, Donanta; Sofyan, Nofrijon
Journal of Materials Exploration and Findings Vol. 4, No. 3
Publisher : UI Scholars Hub

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Abstract

The production of graphene oxide (GO) from biomass presents considerable promise as a sustainable alternative substitute for traditional semiconductors. Biomass waste, abundant and often underutilized worldwide, is distinguished by its high carbon content and regenerative characteristics, rendering it an optimal resource for sustainable material production. By heating its biopolymers, lignocellulosic biomass can be used as a new material to make graphene, which forms three-dimensional turbostratic crystallites. These crystallites, composed of partially defective aromatic carbon sheets with graphite-like characteristics, make it easier to create GO with specialized functions for cutting-edge applications. Its capability underscores the revolutionary potential of biomass waste in producing high-value products from otherwise overlooked resources . A number of manufacturing methods are carefully studied and tested to improve the structure and oxygen functionality of GO. These include catalytic ferrocene, Hummer's, modified Hummer's, catalytic acid spray (CAS), Tour's, and electrochemical exfoliation. Additionally, doping with non-metallic elements, including nitrogen, boron, sulfur, and phosphorus (e.g., N, B, S, P), is investigated to adjust the band gap and improve charge carrier mobility, all of which are essential for optimizing electro-optical performance in semiconductors. This study highlights the unexploited potential of biomass as a resource and establishes a foundation for the advancement of GO-based semiconductors, driving the development of more environmentally friendly, efficient, and sustainable electronic technology.
Equipment Criticality Analysis to Determine Asset Integrity Management System Scheme in Supporting Production Optimization Scenarios in the Aeging Field Andryanto, Donny; Dhaneswara, Donanta
Journal of Materials Exploration and Findings Vol. 4, No. 3
Publisher : UI Scholars Hub

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Abstract

This research investigates the production decline and cost increase in the X&Y oil and gas fields from 2022 to 2023. Production fell by 34%, while production costs per barrel rose by 79%. To address these issues, a series of optimization processes are proposed. These aim to restructure and enhance the production facilities to reduce current production costs. The optimizations include reducing pressure at the PPP Platform in 2024. Additional steps include shutting down CPP-ORF 14” pipelines and most processes at CPP 2 Platform by 2027 to convert it into an accommodation platform. Further, the plan involves optimizing the release of two FSO units and directing oil production to ORF via a 16” pipeline by 2028. This study also emphasizes the need for Asset Integrity Management to implement optimization scenarios. This measure aims to reduce maintenance costs, ensure plant integrity, and update maintenance programs based on equipment criticality assessments.
Feasibility Analysis of Thermal Oxidizer to Determine Remaining Life Using Fitness- for-Service Level 3 Method Yudistirawan, Yudhi; Dhaneswara, Donanta; Putra, Wahyuaji Narottama; Widyaputra, Gama; Suci, Dewi Kurnia; Mahardhika, Agung Putra
Journal of Materials Exploration and Findings Vol. 5, No. 1
Publisher : UI Scholars Hub

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Abstract

An aged thermal oxidizer (TOX) in the oil and gas industry necessitates a comprehensive evaluation to ensure its continued safe operation. This study presents a Remaining Life Assessment (RLA) and a Fitness for Service (FFS) evaluation for the four main components of the TOX, in accordance with API 510, API 579/ASME FFS-1, and ASME BPVC Section VIII Div-1 standards. The investigation includes the determination of maximum stress and maximum temperature required to assess the operational viability of the reactor. The four components are radiant, convection, transition, and stack sections—were modeled using the finite element method (FEM). Following the geometric modeling, an FFS evaluation was conducted based on two criteria: stress and temperature, to ascertain whether the TOX remains safe and operational until the end of its service life. Based on the FFS assessment, the TOX structure has been deemed fit to operate and acceptable for use throughout its remaining service life. Subsequently, a remaining life assessment performed on these components indicated an estimated service life of 20 years. According to the analyses carried out, the maximum stress observed is 160 MPa in the radiant section, while the highest temperature, recorded at 392 °C, occurs in the convection and transition sections. These results indicate that the radiant area particularly the upper radiant component, poses the highest risk due to the stress concentrations at its peak levels. In conclusion, although the TOX system is currently operating safely, periodic inspections are essential to ensure its continued secure operation until the end of its remaining service life.
Surfactant-Controlled Synthesis of Mesoporous Silica from Oil Palm Empty Fruit Bunch Tri Partuti; Donanta Dhaneswara; Jaka Fajar Fatriansyah; Muflikhah Muflikhah; Maria Christina Prihatiningsih
EduChemia: Jurnal Kimia dan Pendidikan Vol 11, No 1 (2026)
Publisher : Department of Chemistr Education Faculty of Teacher Training and Education Universitas Su

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/educhemia.v11i1.39110

Abstract

Indonesia is the country that produces the most palm oil worldwide, generating large amounts of oil palm empty fruit bunch (EFB) waste containing silica. The use of EFB waste as a silica precursor offers a sustainable alternative to conventional synthetic sources. Therefore, this study aims to synthesize mesoporous silica from EFB ash via a sol-gel method, using single and mixed surfactant systems, namely, cetyltrimethylammonium bromide (CTAB), Pluronic P123 (P123), and a mixture of CTAB-P123, with a constant mass of 5 grams. The properties of mesoporous silica derived from EFB were characterized using X-ray fluorescence (XRF), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy equipped with energy-dispersive X-ray analysis (SEM-EDX), transmission electron microscopy (TEM), small-angle X-ray scattering (SAXS), and nitrogen adsorption‒desorption measurements based on the BET and BJH methods. The results of this study revealed that the use of Pluronic P123 resulted in a specific surface area of 317.085 m²/g, CTAB (519.951 m²/g), and a mixed-surfactant system (496.547 m2/g). The SAXS results revealed that a mixed CTAB-P123 system produced an ordered mesostructure with a distinct peak at q = 0.1005 Å-1, while a single surfactant formed disordered mesopores. These results demonstrate that the type of surfactant performs an essential function in tailoring the mesoporous characteristics of EFB-derived silica.
Co-Authors Ahmad Ashari Ahmad Maksum Akhmad Herman Yuwono Alhamidi, A. Ali Amalia, Ary Yanuar Tri Andika, Geo Surya Andriyah, Lia Andryanto, Donny Aqilafif, Muhammad Syauqi Ardianto, Yahya Winda Asral, D. Rizal Ayuningtyas, Paramita Vidya Cathaputra, Edo Dedi Supriadi Fatmi, Sri Elsa Fatriansyah, Jaka Fajar Fauzi, Andrian Ferdiyanto, David Florentinus Firdiyono Hanifa, Muthia Hartoyo, Fernanda Hasanah, Indah Uswatun Heruwiyono, Maulana Ilham Nur Dimas Yahya Indah Uswatun Hasanah Islam, Adinda Izzatul Lalasari, Latifa Hanum Mahardhika, Agung Putra Maria Christina Prihatiningsih Maulana, Fakhri Akbar Muflikhah Muflikhah Muhammad Anis, Muhammad Muhammad Helmi Munthe, Aditya Pahlawan Nofrijon Sofyan, Nofrijon Nurhidayah, Eka Nurul Hadi, Nurul Panthoko, Norbert Egan Christo Pawan, Ria Wardhani Pradana, Agrin Febrian Priadi, Dedi Putra, Wahyuaji Narottama Rindharto, Hardi Riswan, Sandya Ananda Ruri Lestari, Gusti Ruri Septiningrum, Fairuz Shahab, Ahmad Nabil Sigiro, Leonard Mateus Suci, Dewi Kurnia Suharno, Bambang, Prof Tri Arini, Tri Tri Partuti Wardana, Afif Widyaputra, Gama Yudistirawan, Yudhi Yuliati, Dona