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All Journal HAYATI Journal of Biosciences Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya MEDIA ELEKTRIKA Traksi : Majalah Ilmiah Teknik Mesin Reaktor International Journal of Science and Engineering (IJSE) International Journal of Renewable Energy Development TEKNIK Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan METANA Jurnal Ilmu Lingkungan Pedagogi: Jurnal Ilmu Pendidikan Prosiding Seminar Biologi JURNAL TEKNOLOGI KIMIA DAN INDUSTRI LITE: Jurnal Bahasa, Sastra, dan Budaya Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Kesehatan Masyarakat Jurnal Pendidikan IPA Indonesia Jurnal Bahan Alam Terbarukan Waste Technology Agrointek Jurnal technoscientia Eksergi: Chemical Engineering Journal Seminar Nasional Teknik Kimia Kejuangan Journal of Engineering and Technological Sciences FLYWHEEL : Jurnal Teknik Mesin Untirta Majalah Ilmiah MOMENTUM Science and Technology Indonesia Briliant: Jurnal Riset dan Konseptual Emerging Science Journal Jurnal Aplikasi Teknologi Pangan Communications in Science and Technology Indonesia Journal of Halal Culturalistics: Journal of Cultural, Literary, and Linguistic Studies Astonjadro Food Science and Technology Journal (Foodscitech) Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi ASEAN Journal of Chemical Engineering Indonesian Journal of Electrical Engineering and Computer Science G-Tech : Jurnal Teknologi Terapan JURNAL ILMIAH AGRINECA Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Litbang Kota Pekalongan Prosiding SNAST Devotion: Journal of Research and Community Service Jurnal Energi Baru dan Terbarukan Journal of Renewable Energy, Electrical, and Computer Engineering Journal of Bioresources and Environmental Sciences METAL : Jurnal Sistem Mekanik dan Termal Formosa Journal of Science and Technology (FJST) Makara Journal of Technology Jurnal Profesi Insinyur Indonesia Journal of Emerging Science and Engineering Journal of Bioresources and Environmental Sciences International Journal of Renewable Energy Development Bulletin of Chemical Reaction Engineering & Catalysis Jurnal Sains Materi Indonesia
H Hadiyanto
Center Of Biomass And Renewable Energy (C-BIORE), Department Of Chemical Engineering, Diponegoro University, Jl Prof. H. Soedarto, SH, Tembalang, Semarang 50275 Department Of Chemical Engineering, Diponegoro University, Jl Prof. H. Soedarto, SH, Temb
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Journal : Journal of Emerging Science and Engineering

 1 
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 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.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 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