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All Journal Jurnal Surya Teknika Journal of Bioprocess Chemical and Environmental Engineering Science Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Eka Alel, Ariya
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Tantangan Implementasi Program B40 di Indonesia: Tinjauan Teknis dan Ketersediaan Bahan Baku Biodiesel Eka Alel, Ariya; Hastuti, Ririn Puji; Legawati, Lisa
SURYA TEKNIKA Vol 12 No 2 (2025): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v12i2.10770

Abstract

The B40 program is a continuation of Indonesia’s mandatory biodiesel policy, which requires blending 40% palm oil–based biodiesel with 60% conventional diesel fuel. This program aims to reduce dependence on fossil fuel imports while supporting national greenhouse gas emission reduction targets. This study analyzes the challenges of B40 implementation in Indonesia, focusing on feedstock availability as well as technical aspects of biodiesel production and distribution. The research employs a desk study approach using secondary data from GAPKI, BPDPKS, the Ministry of Energy and Mineral Resources, and relevant scientific literature. The results indicate that Indonesia’s crude palm oil (CPO) production in the first half of 2025 reached approximately 27.89 million tons, while the CPO requirement for B40 is projected at around 13.5 million tons. The installed capacity of the national biodiesel industry is about 20 million kiloliters per year, exceeding the projected B40 biodiesel demand of 15.6 million kiloliters. However, technical challenges remain, including biodiesel quality issues, dependence on imported methanol, and distribution constraints in remote regions. Overall, the B40 program has the potential to reduce emissions by approximately 25–28 million tons of CO₂-equivalent per year and contribute to Indonesia’s energy transition.
Edukasi Pembuatan Detergen Cair sebagai Upaya Pemberdayaan Ibu-Ibu PKK di Perumahan Graha Rawa Bangun Kelurahan Tuah Karya Kecamatan Tuah Madani Kota Pekanbaru Nurfatihayati; Al’farisi, Cory Dian; Mutamima, Anisa; Utama, Panca Setia; Fadli, Ahmad; Azis, Yelmida; Sunarno; Suhendri; Habib, Alltop Amri Ya; Alel, Ariya Eka; Hastuti, Ririn Puji; Yolanda, Yogi; Syawal, Ferdy Ashari
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 1 (2026): Februari
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v5i1.499

Abstract

This community service activity aimed to enhance the knowledge and skills of PKK women in producing liquid detergent as an effort to promote community empowerment and household self-reliance. The activity was conducted in Graha Rawa Bangun Housing Area, Tuah Karya Village, Tuah Madani District, Pekanbaru City. The implementation methods included educational sessions, hands-on training on liquid detergent production, and evaluation using pre-test and post-test questionnaires. The training materials covered the introduction of raw materials, the function of each component, production procedures, and safety aspects related to the use of household chemicals. The evaluation results indicated a significant improvement in participants’ knowledge. The average level of participants’ knowledge increased from 16% in the pre-test to 85% in the post-test, with an overall improvement of 69%. Improvements were observed in both the understanding of primary cleaning agents and auxiliary ingredients in liquid detergent formulations. These findings demonstrate that an educational approach integrating simple scientific explanations with practical training is effective in enhancing participants’ capacity. The outputs of this activity include improved knowledge and skills of PKK women in producing safe and applicable liquid detergent, which has the potential to support household independence and community empowerment.
Pengaruh Tinggi Unggun pada Proses Adsorpsi Ion Besi (Fe2+) Menggunakan Adsorben Arang Aktif Batang Bambu Teraktivasi NaOH Al'farisi, Cory Dian; Sri Irianty, Rozzana; Nurfatihayati, Nurfatihayati; Suhendri, Suhendri; Alel, Ariya Eka; Rasyid, Rizky Al; Tobing, Samuel Valentino L
Journal of Bioprocess, Chemical and Environmental Engineering Science Vol 7 No 1 (2026): Journal of Bioprocess, Chemical, and Environmental Engineering
Publisher : Department of Chemical Engineering, Faculty of Engineering, UNRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jbchees.7.1.24-32

Abstract

Escalating discharges from metallurgical, textile, and mining industries have led to elevated concentrations of iron (Fe) in aquatic environments, where its persistence and redox activity pose significant risks to water quality and aquatic ecosystems, thereby necessitating the development of efficient and environmentally benign wastewater treatment strategies specifically targeting Fe removal. This study aims to determine the effect of bed height and flow rate on the adsorption capacity and removal efficiency process of iron (Fe²⁺) ions using activated carbon adsorbent derived from bamboo stems and activated with a 0.5 N NaOH solution. Adsorption was conducted in a continuous column system with variations in bed height (15 cm, 20 cm, and 25 cm) and flow rate (2 ml/s, 4 ml/s, and 6 ml/s). The activated carbon was characterized based on the Indonesian National Standard (SNI 06-3730-1995) to maintain product quality, including moisture content, ash content, and iodine number tests. The characterization results indicate that the activated carbon met quality standards, with 7% moisture content, 9% ash content, and an iodine number of 983.475 mg/g. The concentration of iron ions was analyzed using a UV-Vis spectrophotometer. The results indicate that the optimal adsorption capacity was obtained at a bed height of 15 cm and a flow rate of 2 mL/s, with a value of 1.114 mg/g, while the highest adsorption efficiency of 93.8% was achieved at a bed height of 25 cm and a flow rate of 2 mL/s.
Teknologi Modifikasi Fisik Heat Moisture Treatment (HMT) pada Tepung Beras dan Tepung Sorgum: Kajian Sistematis Parameter Proses, Transformasi Struktur Granula Pati dan Prospek Skalabilitas Industri Puji Hastuti, Ririn; Alel, Ariya Eka; Alfarisi, Cory Dian; Legawati, Lisa; Aziz, Yelmida
SURYA TEKNIKA Vol 13 No 1 (2026): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v13i1.11604

Abstract

Heat Moisture Treatment (HMT) is a clean-label, residue-free physical starch modification technique that serves as a strategic solution for food diversification, aiming to reduce national reliance on imported wheat, which reached USD 2.2 billion in 2022. This systematic review of 45 selected scientific publications, out of 65 initially screened articles, evaluates the impact of HMT on rice and sorghum flour characteristics. Synthesized results indicate that HMT consistently increases gelatinization temperature (To up by 3 - 8°C), reduces peak viscosity (15 - 30%), and boosts resistant starch content from 3 - 5% to 8 - 15%. In sorghum flour, the interaction between starch and non-starch components, particularly kafirin proteins, significantly modifies the HMT response compared to pure sorghum starch. This study highlights critical research gaps, specifically regarding the need for optimal HMT parameters tailored to Indonesian local varieties and the necessity of comprehensive techno-economic analysis to facilitate industrial-scale implementation.
Machine Learning-Based Prediction of Sustainable Aviation Fuel Yield using Literature-Derived Hydroprocessing Data Eka Alel, Ariya; Hastuti, Ririn Puji; Suhendri, Suhendri; Alfarisi, Cory Dian
SURYA TEKNIKA Vol 13 No 1 (2026): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v13i1.11609

Abstract

The increasing demand for sustainable aviation fuel (SAF) has encouraged the development of efficient predictive approaches for optimizing jet fuel production from renewable feedstocks. Conventional experimental optimization methods are often time-consuming and expensive because hydroprocessing performance is strongly influenced by feedstock characteristics, catalyst composition, and operating conditions. In this study, machine learning (ML) techniques were applied to predict jet fuel yield using a dataset compiled from approximately 50 published scientific articles. The dataset consisted of 101 experimental observations involving different feedstock groups, catalyst metal groups, catalyst supports, catalyst loading, free fatty acid (FFA) content, temperature, pressure, and weight hourly space velocity (WHSV). The ML workflow was developed using Orange Data Mining software and included data preprocessing, feature selection, imputation, model training, and performance evaluation. Four regression algorithms, namely Random Forest, Linear Regression, Neural Network, and Gradient Boosting, were evaluated using 10-fold cross-validation. The Gradient Boosting model achieved the best predictive performance with an RMSE of 7.172, MAE of 5.314, MAPE of 10.026%, and R2 value of 0.286 during cross-validation. Feature ranking analysis indicated that catalyst support type, feedstock group, catalyst metal group, and FFA content were among the most influential variables affecting jet fuel yield.
Co-Authors Ahmad Fadli Al'farisi, Cory Dian Alfarisi, Cory Dian Alltop Amri Ya Habib Al’farisi, Cory Dian Aziz, Yelmida Ferdy Ashari Syawal Hastuti, Ririn Puji Lisa Legawati Mutamima, Anisa Nurfatihayati Puji Hastuti, Ririn Rasyid, Rizky Al Sri Irianty, Rozzana Suhendri Suhendri Suhendri SUNARNO Tobing, Samuel Valentino L Utama, Panca Setia Yelmida Azis Yolanda, Yogi