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Implementasi Etika Profesi dan K3L Pada Kegiatan Operasi dan Pemeliharaan Bendungan Jatibarang Wulandari, Dyah Ari; Hadiyanto, H; Rizal Isnanto, R
Jurnal Profesi Insinyur Indonesia Vol 1, No 6 (2023): JPII
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpii.2023.18534

Abstract

[Title: Implementation of Professional Ethics and HSE in Jatibarang Dam Operation and Maintenance Activities] Implementation of Dam Operation and Maintenance (OP) is very important to maintain dam safety and the sustainability of dam function. Operation and maintenance must be carried out in accordance with established procedures and a well-structured OP implementation program according to conditions of dam  and climate change. Dam Operation and Maintenance activities involve a lot of Engineering practice and need to pay attention to Health, and Environment (HSE). This study aims to determine the implementation of Professional Ethics and HSE in the operation and maintenance of the Jatibarang Dam. This research begins with conducting literature review and collecting secondary data. The collected data is then processed and the results are discussed and concluded. The operation and maintenance of the Jatibarang Dam includes operations, maintenance and monitoring activities, which must be planned and then held and reports its implementation. Dam operation is carried out by adjusting the water output of the reservoir. Dam maintenance is done to prevent damage or repair damage. While dam monitoring is carried out to find out symptoms of problems with the dam at an early stage. The implementation of professional ethics is manifested by managers in the form of responsibility, honesty, obedience, competence, teamwork and sustainable utilization. HSE has been implemented but managers have not fully implemented HSE Management System. HSE risk management which includes hazard identification, risk assessment and risk control has just been implemented for the dam safety. For The supporting work activities have not been carried out.
Kinetic Study of Non-Isothermal Reactions on the Pyrolysis of Various Biomass Waste by using Thermogravimetric Data Prasetiawan, Haniif; Fardhyanti, Dewi Selvia; Fatriasari, Widya; Hadiyanto, Hadiyanto
Jurnal Bahan Alam Terbarukan Vol 12, No 2 (2023): December 2023 [Nationally Accredited Sinta 2]
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jbat.v12i2.49431

Abstract

Population growth causes an increase in the need for petroleum. However, petroleum as primary energy is currently increasingly limited in availability. Required alternative energy sources that can be renewed to overcome these problems, one of which is bio-oil. Bio-oil is produced by a pyrolysis process using biomass such as sugarcane bagasse, rice husk, and empty oil palm fruit bunches (EFB), by heating in the absence of oxygen. Kinetic studies on pyrolysis of this type of biomass (sugar cane bagasse, rice husk, and empty oil palm fruit bunches) were carried out using the thermogravimetric method. The Coats-Redfern method was used in this study. The purpose of this study is to obtain the most appropriate reaction kinetics model to represent the pyrolysis process for each type of biomass. In addition, to determine the optimal temperature used in forming bio-oil. Approximately 5 g of each biomass is used with a heating rate of 10°C/minute. Pyrolysis was carried out until the temperature reached 750°C. The results of the research on the selected kinetic model for each biomass is a geometric model with a correlation coefficient (R2) close to 1 and the optimum temperature for producing bio-oil is around 550 - 600°C.
Retraction Notice to Control of Bidirectional DC-DC Converter for Micro-Energy Grid’s DC Feeders' Power Flow Application, IJRED 11(2), 533-546 Hadiyanto, H
International Journal of Renewable Energy Development Vol 12, No 6 (2023): November 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.57139

Abstract

Refers to: RETRACTED: Control of Bidirectional DC-DC Converter for Micro-Energy Grid’s DC Feeders' Power Flow Application. International Journal of Renewable Energy Development, Volume 11(2), May 2022, Pages 533-546 Muhammad Hammad Saeed, Wang Fangzong,  Basheer Ahmed Kalwar ------------------------------------------------------------------------------------------------------------------------------- 
Preparation of KI/KIO3/Methoxide Kaolin Catalyst and Performance Test of Catalysis in Biodiesel Production Buchori, Luqman; Widayat; Ngadi, Norzita; Hadiyanto; Okvitarini, Ndaru
Science and Technology Indonesia Vol. 9 No. 2 (2024): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.2.359-370

Abstract

Kaolin is a natural ingredient that is in abundance and has not been widely used. Kaolin is a source of silica (SiO2) and alumina (Al2O3) so that it can be used as a heterogeneous catalyst in biodiesel production. This research aims to examine the influence of using impregnated kaolin as a heterogeneous catalyst on production of biodiesel. Research methods include calcination of natural kaolin, impregnation of kaolin using KI, KIO3, and preparation of kaolin-methoxide in various concentrations, as well as biodiesel production using an impregnated kaolin catalyst. The catalyst was characterized using XRD and SEM. The catalyst was tested for basicity using the Hammet indicator method with acid-base titration. The biodiesel product obtained was analyzed using GCMS. The results of XRD analysis showed that 8% kaolin-methoxide catalyst had the highest crystallinity among the others. The crystallinity obtained was 87.84% with a composition of 15.79% SiO2 and 78.86% Al2O3. SEM image results also show a more visible crystal shape. The highest basicity of the catalyst obtained was 0.240 mmol. The highest biodiesel yield using 8% kaolin-methoxide catalyst is 99.48%.
Study of Optimization Darrieus Wind Turbine Using Numerical Investigation Susanto, Edy; Paryanto, Paryanto; Hadiyanto, Hadiyanto; Permata, Ariyo Nurachman Satiya; Setiawan, M. Yasep
FLYWHEEL : Jurnal Teknik Mesin Untirta Vol 10, No 1 (2024): April
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/fwl.v10i1.24736

Abstract

Utilization of electric resources keep on expanding due to social and mechanical progression. Different sorts of sources are utilized to fulfill the resources needs. Wind resources is additionally a source which fulfills a portion of electric energy needs with the assistance of wind turbine. the Darrieus Wind Turbine on the performance of the Vertical Shaft Wind Turbine (VAWT) is utilized for its extraordinary potential in application to its auxiliary advantage and omni-directionality. Three diverse wind speeds were considered within the examination with the NACA 4415 airfoil sort. The wind speeds were shifted based on wind speeds at 15 m/s, 20 m/s and 25 m/s. From the numerical examination, it was found that the optimal result was gained by 4 blade variations due to less turbulence that appeared.
Starch – carrageenan based low-cost membrane permeability characteristic and its application for yeast microbial fuel cells Christwardana, Marcelinus; Kuntolaksono, Satrio; Septevani, Athanasia Amanda; Hadiyanto, H
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.59160

Abstract

Microbial fuel cells (MFCs) are an innovative method that generates sustainable electricity by exploiting the metabolic processes of microorganisms. The membrane that divides the anode and cathode chambers is an important component of MFCs. Commercially available membranes, such as Nafion, are both costly, not sustainable, and harmful to the environment. In this study, a low-cost alternative membrane for MFCs based on a starch-carrageenan blend (SCB-LCM) was synthesized. The SCB-LCM membrane was created by combining starch and carrageenan and demonstrated a high dehydration rate of 98.87 % over six hours. SEM analysis revealed a smooth surface morphology with no pores on the membrane surface. The performance of SCB-LCM membrane-based MFCs was evaluated and compared to that of other membranes, including Nafion 117 and Nafion 212. All membranes tested over 25 hours lost significant weight, with SCB-LCM losing the least. The maximum power density (MPD) of the SCB-LCM MFCs was 15.77 ± 4.34 mW/m2, indicating comparable performance to commercial membranes. Moreover, the cost-to-power ratio for MFCs employing SCB-LCM was the lowest (0.03 USD.m2/mW) when compared to other membranes, indicating that SCB-LCM might be a viable and cost-effective alternative to Nafion in MFCs. These SCB-LCM findings lay the groundwork for future research into low-cost and sustainable membrane for MFC technologies.  
Production of high-antioxidant yoghurt using phycocyanin from microalgae Spirulina sp Rahma, Dhyeta Ulzana Zizi; Nurahman, Ghiyats Hafizh; Hadiyanto, Hadiyanto; Baihaqi, Rifqi Ahmad
Journal of Emerging Science and Engineering Vol. 1 No. 2 (2023)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2023.9

Abstract

Yoghurt is a functional food product widely used to improve the digestive system in the body. Yoghurt fermentation usually uses lactic acid bacteria from the Lactobacillus bulgaricus, Streptococcus thermophilus, and Lactobacillus casei. Phycocyanin has been used as a natural dye for food, cosmetics, and medicine. Phycocyanin is a complex protein that can be an anticancer, antioxidant, and immunity booster. In this study, the effect of the number of additions of phycocyanin, storage time, and time of addition of phycocyanin to the antioxidant activity, protein, and organoleptic properties of the yoghurt produced. In this study, cow milk was pasteurized and fermented to become a yoghurt. Afterwards, phycocyanine was added to the yoghurt before being stored and analyzed. Spectrophotometric analysis was utilized to determine the antioxidant activity and protein content. An organoleptic test using a Likert scale was conducted to determine the product's suitability to consumer tastes. Increased phycocyanin concentrations were added (0, 0.25, 0.5, and 0.75 wt. %), resulting in a decrease in IC50 value of 8855.53, 5843.371, and 4147.548 ppm, which shows an increase in antioxidant activity. At the level of consumer preference in terms of taste, the most preferred is a concentration of 0.5 wt. %, while in terms of colour and aroma, at a concentration of 0.25 wt. %. While the longer the storage time (1, 3, and 5 days), the increase in IC50 value of 2777.111, 5179.547, and 5916.884 ppm, and there was a decrease in protein content in the sample. For the level of consumer preferences in terms of taste and aroma, the most preferred is variable with a storage time of 1 day, and in terms of colour, the most preferred at five days storage. The IC50 value in the variable with the addition of phycocyanin after fermentation is less than the addition after fermentation, which is 5351.865 ± 1606 and 3897.162 ± 1678 ppm. The protein content is higher when adding phycocyanin before fermentation. While yoghurt with the addition phycocyanin before fermentation showed higer consumer preference in terms of taste and aroma. In contrast, the addition of phycocyanin after fermentation is preferred in terms of colour. 
Immobilized algae for heavy metals remediation in textile wastewater Pradana, Aris Bagus; Buchori, Luqman; Pratama, Wahyu Diski; Pratiwi, Wahyu Zuli; Hadiyanto
Journal of Emerging Science and Engineering Vol. 1 No. 2 (2023)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2023.10

Abstract

Textile wastewater has characteristics of concentrated color and containing high concentration of COD, BOD, N, P, and heavy metals. Some wastewater treatments have been developed for removal waste contaminant, especially heavy metal such as precipitation, evaporation, electroplating, ion exchange, and membrane process. These methods have disadvantages such as unpredictable of heavy metal, high reagent requirement, and generation of toxic sludge. Biosorption using immobilized algae give the alternative method to removal heavy metal in textile wastewater because of increased stability in the matrix. The main purpose of this research was to determine the adsorption of textile wastewater heavy metal using immobilized microalgae. The best ratio bead: wastewater (v/v) for removal heavy metal by immobilized microalgae of textile wastewater heavy metal in batch system was 1:3. Heavy metal Cu decreased as much as 89% with the highest final concentration of 0.2 ppm. Ability of Chlorella vulgaris and Spirulina platensis to reduce heavy metals Cr was 89% and 90% with a final concentration of 1.6 ppm and 1.5 ppm. Uptake heavy metal Cu and Cr of textile wastewater by Chlorella vulgaris reach 1.9 mg/g and 16.3 mg/g. Meanwhile for Spirulina platensis reach 1.7 mg/g and 14.7 mg/g. Based on the Langmuir equation, biosorption by Chlorella vulgaris have qmax and Kb value of heavy metal Cu was 1,984 mg/g and 0,014 mg/L.  On heavy metal Cr, qmax and Kb value were 15.873 mg/g and 0.079 mg/L. Spirulina platensis have qmax and Kb value of heavy metal Cu were 1,798 mg/g and 0,014 mg/L. On heavy metal Cr qmax and Kb value were 14.925 mg/g and 0.0445 mg/L. 
Shrimp and fish underwater image classification using features extraction and machine learning Setiawan, Arif; Hadiyanto, H.; Widodo, Catur Edi
Journal of Emerging Science and Engineering Vol. 2 No. 1 (2024)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2024.e14

Abstract

Shrimp cultivation is one type of cultivation that has a significant impact on the social status of coastal communities. Shrimp farming traditionally faces several challenges, including water pollution, imbalances in temperature, feed, media, and costs. Monitoring the condition of shrimp in the cultivation environment is very necessary to determine the condition of shrimp in the water. Classification of shrimp and fish is the first step in monitoring the condition of shrimp underwater. This research proposes the development of a method for classifying shrimp and fish underwater using feature extraction and machine learning. The flow of this research is: (1) preparing data from ROI detection results, (2) extraction process of morphometric characteristics P and T, (3) calculating the value of morphometric characteristics P and T, (4) data breakdown for training data and testing data, (5) Model creation process, data training and data testing using SVM, RF, DT, and KNN, (6) Evaluation of classification results using a confusion matrix. From this research, it was found that the Random Forest method obtained the highest accuracy, namely 0.93. From this matrix, the values ​​obtained are True Positive = 349, False Positive = 28, True Negative = 223, False Negative = 0.
Hyperparameter optimization for hourly PM2.5 pollutant prediction Barid, Aziz Jihadian; Hadiyanto, H.
Journal of Emerging Science and Engineering Vol. 2 No. 1 (2024)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2024.e15

Abstract

Air pollution, particularly the presence of Particulate Matter (PM) 2.5, poses significant health risks to humans, with industrial growth and urban vehicle emissions being major contributors. This study utilizes machine learning techniques, specifically K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) algorithms, to predict PM2.5 levels. A dataset from Kaggle consisting of PM2.5 and other pollutant parameters is preprocessed and split into training and testing sets. The models are trained, evaluated, and compared using Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) metrics. Additionally, hyperparameters are applied to optimize the models. Results show that SVM with hyperparameters performs better, indicating its potential for accurate air quality prediction. These findings can aid policymakers in implementing effective pollution control strategies.
Co-Authors - Hermawan - Purwanto . Widayat A Abdullah A.P. Aini A.P. Aini Aaron Nathanael Liemin Abdurrafi Alwan Achmad Chalid Afif Alfajrin Achmad Roesyadi Achmad Roesyadi Adhi, M. A. Adi Wibowo Adian Khoironi Afriza Ni'matus Sa'adah Afshar, Mohammad Ali Agus Suhatman Agus Suprihanto Ahmadi, Mohammad Hossein Aini, Apsari Puspita Ainun Nurusy Syahida Aji Prasetyaningrum Al-Baari, Ahmad N Al-Baarri, Ahmad Ni’matullah Albertus Djoko Lesmono Alhuyi Nazari, Mohammad Alkian, Ilham Amalia Farhati Anak Agung Istri Sri Wiadnyani Andono Kusuma Jati Andri C. K. Andri Cahyo Kumoro Andri Cahyo Kumoro Andry Anggoro Arahim Angela Nitia Nefasa Angela Nitia Nefasa Anh Tuan Hoang Aniek Sri Handayani Aniek Sri Handayani Anisa Widia Utami Annisa Sila Puspita Apsari Puspita A. Apsari Puspita Aini Arief Budiman Arief Budiman Arief Budiman Arief Budiman Arif Harimukti Arif Setiawan Arifati Munfarida Aris Bagus Pradana, Aris Bagus Asep Yoyo Wardaya Asri Cahaya Hati Athanasia Amanda Septevani, Athanasia Amanda Avido Yuliestyan Avido Yuliestyan Awaluddin Hidayat Ramli Inaku Azafilmi Hakiim Aziz Jihadian Barid B. Budhijanto Baihaqi, Rifqi Ahmad Bambang Cahyono Bambang Yulianto Barid, Aziz Jihadian Bariroh, Tahyatul Bayu, Handoko Bidi, Mokhtar Budhijanto, B. Cahyadi Cahyadi Cahyadi Cahyadi Cantika Aulia Salsabila Catur Edi Widodo Chandra Puspita Sari D A Sari D. Ariyanti D. Ariyanti D.S. Pinundi D.S. Pinundi Danny Soetrisnanto Dedi Khairunas Desiyantri Siti P. Dessy Agustina Sari Dessy Ariyanti Dessy Ariyanti Dewi Selvia Fardhyanti Didi Dwi Anggoro Dionisius Dicky Davidoff Dyah Ari Wulandari Dyah Hesti Wardhani Dyan Pratiwi E Hugeng Wandono Ebrahimi, Morteza Eko Hidayanto Eko Wahjono, Tri Endang Kusdiyantini Eudia Christina Wulandari Evita Febriyanti Faradies Arija Febio Dalanta Ferdinandus Baskoro Hari Sapto Waluyo Fianda Revina Widyastuti Figa Muhammad Octafalahanda Fitria Yuli Anggita Sari Fitria Yuli Anggita Sari Fitriyanto, Bobby Rachmat Fitriyanto, Bobby Rachmat Franz, Nicholas Fuad Muhammad Fuad Muhammad Fuad Muhammad Ganang Dwi Hartanto Ganang Dwi Hartanto Ghasempour, Roghayeh Hakim, Muhammad Fahmi Hamdani Abdulgani, Hamdani Hamid Hamid Haniif Prasetiawan Hantoro Satriadi Hapsoro Bagus Wicaksono Hargono Hargono Haris Nu'man Aulia Hashfi Hawali Abdul Matin Hati, Asri Cahaya Hemawan, Ferry Hendra Naldi Henna Rya Abdurachim Henna Rya Sunoko Henna Rya Sunoko Heri Cahyono Heri Sutanto Hermawan Hermawan Hermawan Hermawan Hidayat Ramli Inaku, Awaluddin Hoang, Anh Tuan I Made Aditya Suryajaya I Made Aditya Suryajaya Iis Nurhasanah Imam Novrizal Aji Indah Kusumadewi Indah Kusumadewi, Indah Indradewa, Rhian Indro Sumantri Indro Sumatri Irawan Arif Budianto Irfan Ali, Irfan J. Jamari Jaka Windarta Jihan Nabila Joni Safaat Adiansyah Kamandjaja, Vimala Kevin Aprilio Kusmiyati Kusmiyati Kusmiyati Kusmiyati Le, Tri Hieu Luqman Buchori M Christwardana M Christwardana M M A Nur M. Barbosa M. Djaeni M.M. Azimatun Nur M.M. Azimatun Nur, M.M. Azimatun Marcelinus Christwardana Marcelinus Christwardana Marcelinus Christwardana Marcelinus Christwardana Marcelinus Christwardana Marcelinus Christwardana Marcelinus Christwardana Marcelinus Christwardana Mardiyah Sari Dewi Maryono Maryono Matin, Hashfi Hawali Abdul Mega Anggraeni Mega Anggraeni Meiny Suzery Miftah Aqidatul Izzah Minh Tuan Pham Mochamad Arief Budihardjo Moh. Djaeni Moh. Djaeni Mohammad Alhuyi Nazari Mohammad Hossein Ahmadi Monica Kezia Sembiring Morteza Ebrahimi Muhamad Imaduddin Muhamad Maulana Azimatun Nur Muhamad Zaini Mahdi Muhammad Fadhil Muhammad Fajar Purnama Muhammad Helmi Muhammad Nasyarudin Iqbal Muhammad Zaini Mahdi Munifatul Izzati Nailawati Prastiya Ningrum Nainggolan, Irwan Firmanto Naseri, Ali Ndaru Okvitarini Ngadi, Noorzita Ngadi, Norzita Nicholas Franz Noer Abyor Handayani Noor Fachrizal Nurahman, Ghiyats Hafizh P Purwanto P. Purwanto Paryanto, Paryanto Permata, Ariyo Nurachman Satiya Perwana, Putu Yuri Aristya Pham, Minh Tuan Pham, Van Viet Pratama, Wahyu Diski Pratiwi, Wahyu Zuli Pribadyo Pribadyo Prima Astuti Handayani Primadi Gayuh Laksono Putro Priyasta, Dwidharma Purwanto - Purwanto Purwanto Purwanto Purwanto Purwono Purwono Putri, Sylvia Rahmi R. Rochmadi R. Wijffels Rachmad Ardhianto Ganjar Samudro Rahma, Dhyeta Ulzana Zizi Ratna Dewi Kusumaningtyas Ratnawati Ratnawati Reistu Widiastutik Retno Wulandari Rifqi Ahmad Baihaqi Riky Yonas Riky Yonas Rini Budi Hastuti Rita Dwi Ratnani Riza Saadiah, Riza Rizal Isnanto, R RM Bagus Irawan Rochmadi, R. Rocky Adiguna Roghayeh Ghasempour Rufaida Nur Rostika Rya Abdurachim, Henna S Subandriyo S Sumarno S. Suherman Sa'adah, Fatkhiyatus Sabda Wahyu Nugroho Sakina Tunissa Anarki Santi, Narulita Satrio Kuntolaksono Septiawan, Reza Sestri Bela Pratiwi Setia Budi Sasongko Setiawan, M. Yasep Silviana Silviana Singgih Wibowo Sinuhaji, Tubagus Rayyan Fitra Siswo Sumardiono Siti Jamilatun Siti Jamilatun Sri Puji Lestari Sri Sumiyati Sri Widodo Agung Sueda Sri Widodo Agung Suedy Sudarno Sudarno Suherman Suherman Suherman, Suherman Sulardjaka Sulardjaka Sulardjaka, S. Sumarno Sumarno Susanto, Edy Suseno Darsono Sussatrio, Hardito Syafrudin Syafrudin Syahidah, Aisyah Sabrina Nurul Thomas Triadi Putranto, Thomas Triadi Titik Nurmawati Tony Suryo Utomo Tri Eko Wahjono Tri Hieu Le Tri Retnaningsih Tri Retnaningsih Soeprobowati Tubagus Rayyan Fitra Sinuhaji Tutuk Djoko Kusworo Uray Irzandi Uray Irzandi Valentino, Andreas Alvaro Van Viet Pham Vimala Kamandjaja Vita Efelina W. Wihermanto Wahyu Cesar, Wahyu Wahyu Zuli Pratiwi Wais Alqurni Wicaksono, Vinsensius Priyo Widayat Widayat Widayat Widayat Widayat Widiyanto Widiyanto Widya FATRIASARI Wilujeng, Dinanti Putrisia Windarta, Djaka Wiwie Chaeruni Yasinta Nikita Titisari Yasinta Nikita Titisari Yoyon Wahyono Yudariansyah, Hadi Yulian Mara Alkusma YULIANI, YENI Yulis Hindarwati Zakaria, Zainul Akmar Zin Min Tun