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All Journal JIP (Jurnal Industri dan Perkotaan) Jurnal Sains dan Teknologi Sosioinforma Jurnal Informatika dan Teknik Elektro Terapan JURNAL ILMIAH PENJAS (Penelitian, Pendidikan dan Pengajaran) Jurnal Teknik SainETIn Publikauma : Jurnal Administrasi Publik Universitas Medan Area Jurnal Administrasi Publik : Public Administration Journal DE LEGA LATA: Jurnal Ilmu Hukum Learning Community : Jurnal Pendidikan Luar Sekolah Jurnal Informatika Universitas Pamulang SEIKO : Journal of Management & Business Jurnal Kartika Kimia Gorontalo Journal of Public Administration Studies TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal SITECH : Sistem Informasi dan Teknologi JPSI (Journal of Public Sector Innovations) Khazanah Sosial JATI (Jurnal Mahasiswa Teknik Informatika) Acta Chimica Asiana J-3P (Jurnal Pembangunan Pemberdayaan Pemerintahan) Jurnal Politik Pemerintahan Dharma Praja Aspirasi : Jurnal Masalah-masalah Sosial Jurnal Darma Agung Sinteks Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences JIEP: Jurnal Ilmu Ekonomi dan Pembangunan BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi Ikatan Penulis Mahasiswa Hukum Indonesia Law Journal COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat CHEMTAG Journal of Chemical Engineering Journal of Governance and Accountability Studies International Journal of Advanced Multidisciplinary Jurnal Pemberdayaan Umat JRAP (Jurnal Riset Akuntansi dan Perpajakan) Jurnal Vokasi Sains dan Teknologi Molekul: Jurnal Ilmiah Kimia Jurnal Inovasi Teknologi Manufaktur, Energi dan Otomotif JPM SMI Jurnal Gladiator ASEAN Journal for Science and Engineering in Materials JIEP: Jurnal Ilmu Ekonomi dan Pembangunan
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Journal : ASEAN Journal for Science and Engineering in Materials

Conversion of Indonesian Coal Fly Ash into Zeolites for Ammonium Adsorption Prihastuti, Hesti; Kurniawan, Teguh
ASEAN Journal for Science and Engineering in Materials Vol 1, No 2 (2022): AJSEM: Volume 1, Issue 2, September 2022
Publisher : Bumi Publikasi Nusantara

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The synthesis of zeolite from fly ash has been investigated. The method used for the synthesis of zeolite in this research is the smelting method followed by a hydrothermal process. The zeolite synthesis was characterized using XRD and SEM. Based on the research results, it was found that fly ash can be synthesized into Na-P zeolite with morphology like coral, and cancrinite zeolite and sodalite with morphology like seaweed. The optimum condition for zeolite synthesis occurred at a hydrothermal process at 160°C for 24 hours with the formation of cancrinite zeolite. The synthesized zeolite resulting from the separation of 4 M of HCl formed Na-P zeolite and silica phase crystals which had the most optimum absorption of ammonium with an adsorption capacity of 18.025 mg/g with the adsorption kinetics model in the form of pseudo-second-order with a constant rate of 0.557 h-1 .
Characterization of Zeolites from Tasikmalaya, Indonesia, and Its Application for Ammonium Removal Kurniawan, Teguh; Mandalagiri, Nuryoto Levina; Kustiningsih, Indar
ASEAN Journal for Science and Engineering in Materials Vol 1, No 1 (2022): AJSEM: Volume 1, Issue 1, March 2022
Publisher : Bumi Publikasi Nusantara

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The objectives of the study were to characterize natural zeolites from Cikalong, Tasikmalaya, Indonesia, and test for ammonium removal. Characterization was performed by using X-ray fluorescence (XRF), X-ray diffraction (XRD), and Scanning Electron Microscope (SEM). According to XRF analysis, the ratio of Si/Al was 6.8. The XRD pattern revealed that the zeolites were mordenite dominant phase. The SEM images showed the needles shape of mordenite typical morphology. Ammonium removal test was performed in the batch reactor with a variation on natural zeolite mass loading and adsorption time. Various isotherm models, i.e., Langmuir, Langmuir-Vageler, Freundlich, and Tempkin were fitted with the kinetic data by using optimization of the sum of the least square method. The Langmuir-Vageler model was best fitted with the error sum of squares 0.01. Furthermore, the study on kinetic models such as Lagergren’s 1st order, Pseudo 2nd order, Elovich, and Intraparticle diffusion was fitted with the ammonium adsorption isotherm data by using optimization of the sum of the least square method. The Pseudo 2nd order showed the smallest error sum of squares 0.007.
Analysis of Bed Temperature on Circulated Fluidized Bed Boiler Using Simple Multivariable Regression Kurniawan, Asep; Kurniawan, Teguh; Alwan, Hafid; Bindar, Yazid; Irawan, Anton
ASEAN Journal for Science and Engineering in Materials Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024
Publisher : Bumi Publikasi Nusantara

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A Circulated Fluidized Bed (CFB) boiler is a type of steam boiler with more complex phenomena of fluidization and combustion occurring in the furnace. One of the operating problems is the temperature bed which is difficult to predict. Bed temperature prediction is important as a reference to know the combustion process and heat transfer along the furnace. The purpose of this study is multivariable data analysis to predict bed temperature based on historical data. The amount of historical data is then prepared for the dataset and passes through the stages of data cleansing, visualization, exploration, and engineering judgment. The parameters selected as control variables after going through the first principal analysis are 5 parameters, namely gross power, coal feed (X1), primary air (PA) flow (X2), secondary air (SA) flow (X3), and average bed temperature (y). The dataset is then divided based on the load into 2 groups a low load of 20.03-30.00 MW and a high load of 30.01-54.41 MW. Each parameter is converted to the natural logarithm (ln) then multivariable regression is performed. The result is a low load model equation  with Root Mean Square Error (RMSE) = 23.2813 and a high load model equation  with RMSE = 4.8416. This model can be used to predict the average bed temperature at certain input conditions of coal feed, PA flow, and SA flow according to operating load. Prospects for bed temperature prediction with this multivariable can be developed using data-based machine learning so that the operating patterns obtained are more accurate and real-time forecast prediction.
Apparatus for the use of Zeolite as an Adsorbent in the Pressure Swing Adsorption (PSA) Technology for Oxygen Concentrator Bahari, Yunus; Agustina, Sri; Kurniawan, Teguh
ASEAN Journal for Science and Engineering in Materials Vol 2, No 1 (2023): AJSEM: Volume 2, Issue 1, March 2023
Publisher : Bumi Publikasi Nusantara

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The equipment for using zeolite as an adsorbent in the Pressure Swing Adsorption (PSA) method for oxygen concentrator is presented in this research. Worldwide, oxygen is generally utilized for a variety of chemical reactions as well as medical applications. The need for medicinal oxygen has skyrocketed in all hospitals worldwide during the COVID-19 pandemic. To minimize the amount of processing power needed and make the most use of the adsorbent capacity, the PSA process must operate efficiently. Additional details about the zeolite's role as an adsorption medium to help PSA in the synthesis of oxygen may be found in this paper.
Design and Construction of Portable Oxygen Concentrator using Pressure Swing Adsorption Technology Bahari, Yunus; Agustina, Sri; Kurniawan, Teguh
ASEAN Journal for Science and Engineering in Materials Vol 3, No 1 (2024): AJSEM: Volume 3, Issue 1, March 2024
Publisher : Bumi Publikasi Nusantara

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Abstract

Oxygen is used in various chemical processes and medical purposes around the world. During the COVID-19 pandemic, the need for medical oxygen has increased sharply in all hospitals in the world. In the current work, we designed anoxygen concentrator by using the Pressure Swing Adsorption (PSA)technology. Efficient operation of the PSA process is required to utilize the adsorbent capacity as much as possible and reduce the processing power requirements. The effect of feed gas temperature, cycle time, and pressure were investigated.  The research is expected to provide suitable operating conditions to develop a better PSA process using zeolite Na-X.
Definition and Role of Sustainable Materials in Reaching Global Sustainable Development Goals (SDGs) Completed with Bibliometric Analysis Ragadhita, Risti; Nandiyanto, Asep Bayu Dani; Farobie, Obie; Kurniawan, Teguh; Bilad, M. Roil
ASEAN Journal for Science and Engineering in Materials Vol 5, No 1 (2026): (ONLINE FIRST) AJSEM: Volume 5, Issue 1, March 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

Sustainable materials are essential in achieving the Sustainable Development Goals (SDGs), particularly in clean energy, water purification, waste reduction, and green infrastructure. This study investigates the role of material innovation in supporting the SDGs using a Systematic Literature Review (SLR) and bibliometric analysis (from Scopus database (2015–2025) using keywords “Sustainable Material,” “Green Material,” and “SDGs”). The findings showed a growing research trend, especially after the COVID-19 pandemic, with significant contributions from chemistry, engineering, and environmental sciences. Materials like nanomaterials, biomaterials, biodegradable polymers, and waste-derived products contribute to SDG 6, 7, 9, 12, and 13. Innovations such as green nanotechnology, bio-based materials, and circular material design show strong potential to address global sustainability challenges. These materials not only support emission reduction and waste valorization but also encourage green job creation and sustainable production. This study highlights interdisciplinary pathways to align material science with sustainable development.