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All Journal Jurnal EECCIS Journal of Research and Technology Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Nusantara Hasana Journal
Vivin Setiani
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Nursing

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PENGARUH TREATMENT ALKALI TERHADAP KARAKTERISTIK FIBER SABUT KELAPA SAWIT DAN PELEPAH PISANG SEBAGAI BAHAN KOMPOSIT POLIMER Setiawan, Adhi; Vivin Setiani; Fitri Hardiyanti; Devina Puspitasari
Journal of Research and Technology Vol. 5 No. 2 (2019): JRT Volume 5 No 2 Des 2019
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jrt.v5i2.321

Abstract

The use of synthetic fibers in the fabrication of polymer composite materials has a negative impact on the environment. Natural fibers such as palm oil waste and banana pseudostem can be an alternative material for synthetic fibers because they are more economical, high specific strength, and environmentally friendly. The alkali treatment needs to be carried out on fibers for removal of lignin, hemicellulose, and impurity so that they can improve interfacial bonding between the fiber and the polymer matrix. The alkali treatment was carried out through fiber immersion in conditions without NaOH, 5% wt NaOH solution, and 10% wt for 24 hours. Fiber before and after alkalization were analyzed using Scanning Electron Microscope (SEM), X-Ray Difraction (XRD), Fourier Transform Infrared (FTIR), and Thermogravimetric Analysis (TGA) methods. The results showed that alkali treatment was effective in removing the components of lignin, hemicellulose, and impurities in fiber. The result of the SEM showed that the treated fiber surface had a cleaner surface than treatment without fiber. The alkalitreatment process can improve the crystallinity and crystallinity index of the fiber due to amorphous component removal of lignin and hemicellulose. The TGA result of palm oil fiber with alkali treatment and without alkali treatment produced weight loss of 88,2% and 98,4% respectively. This showed that the alkali treatment can increase the thermal resistance of the palm oil fiber.
Analisis Variasi Bahan terhadap Kualitas Pupuk Organik Cair (POC) Dari Sisa Makanan Nabila Nurulita Maghfirani; Novitri, Nora Amelia; Vivin Setiani; Indra Lesmana
Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Vol. 6 No. 2 (2024): JPPL, September 2024
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M), Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jppl.v6i2.2362

Abstract

A The generation of food waste is increasing along with the times. Food waste that is not processed properly will increase carbon emissions from the degradation of the waste. Therefore, proper processing is needed to reduce the generation of food waste. One method of processing food waste is to process food waste into liquid organic fertilizer (LOF) through an anaerobic fermentation process. In this research, food waste was processed into LOF using the fermentation method. This fermentation was carried out for 12 days without the presence of oxygen. In this study, there were variations in stirring to analyze the comparison of LOF results with these variations. Apart from that, food waste is mixed with goat and cat feces. This dirt can increase levels of nitrogen, phosphorus and potassium in the LOF. Analysis of LOF quality parameters in this study consisted of C-organic, phosphorus, potassium, N-total, and pH. The results of this research showed that pH of LOF met LOF quality standard based on the degree of the Minister of Agriculture No. 261 2019. The results of the MANOVA (Multivariate Analysis of Variance) test show material variations affected all dependent variables with a significance value of α < 0,05. The best variation was 40% cat feces and 60% food waste that produced the highest total NPK.
Analisis Variasi Bahan terhadap Kualitas Pupuk Organik Cair (POC) Dari Sisa Makanan Nabila Nurulita Maghfirani; Novitri, Nora Amelia; Vivin Setiani; Indra Lesmana
Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Vol. 6 No. 2 (2024): JPPL, September 2024
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M), Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jppl.v6i2.2362

Abstract

A The generation of food waste is increasing along with the times. Food waste that is not processed properly will increase carbon emissions from the degradation of the waste. Therefore, proper processing is needed to reduce the generation of food waste. One method of processing food waste is to process food waste into liquid organic fertilizer (LOF) through an anaerobic fermentation process. In this research, food waste was processed into LOF using the fermentation method. This fermentation was carried out for 12 days without the presence of oxygen. In this study, there were variations in stirring to analyze the comparison of LOF results with these variations. Apart from that, food waste is mixed with goat and cat feces. This dirt can increase levels of nitrogen, phosphorus and potassium in the LOF. Analysis of LOF quality parameters in this study consisted of C-organic, phosphorus, potassium, N-total, and pH. The results of this research showed that pH of LOF met LOF quality standard based on the degree of the Minister of Agriculture No. 261 2019. The results of the MANOVA (Multivariate Analysis of Variance) test show material variations affected all dependent variables with a significance value of α < 0,05. The best variation was 40% cat feces and 60% food waste that produced the highest total NPK.
DESAIN PROTOTIPE UNIT FILTRASI UNTUK PENGOLAHAN LIMBAH AIR WUDHU Mar’atus Sholihah; Vivin Setiani; Ria Rismawati; Nora Amelia Novitrie; Sekarsari Wibowo; Nur Fajar Aprilia Sari
Nusantara Hasana Journal Vol. 5 No. 5 (2025): Nusantara Hasana Journal, October 2025
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to design and evaluate a simple prototype filtration unit for the treatment of ablution (wudhu) wastewater generated from religious facilities. Ablution water is categorized as domestic wastewater that is commonly discharged directly into the environment without prior treatment, although it still poses a potential risk of pollution. The developed prototype employs a multi-layer filter configuration consisting of palm fiber, zeolite, activated carbon, and sponge, with a total media height of 40 cm and an operational flow rate of 100 L/h. Based on design calculations, the system achieved a Hydraulic Loading Rate (HLR) of 0.4 m³/m²·h and an Empty Bed Contact Time (EBCT) of 60 minutes, indicating conservative hydraulic characteristics with a relatively long contact time. Performance testing showed that the filtration unit effectively reduced turbidity from 3 NTU to 1.2 NTU, achieving a removal efficiency of 88%, and increased the pH value from 5.6 to 7.0, thereby meeting the Class II water quality standard as regulated in Government Regulation No. 22 of 2021. These findings demonstrate that the designed filtration system is effective in improving the physical quality of ablution wastewater and has strong potential for application in public facilities such as mosques and educational institutions to support water conservation and sustainable wastewater management.
PENGARUH TREATMENT ALKALI TERHADAP KARAKTERISTIK FIBER SABUT KELAPA SAWIT DAN PELEPAH PISANG SEBAGAI BAHAN KOMPOSIT POLIMER Setiawan, Adhi; Vivin Setiani; Fitri Hardiyanti; Devina Puspitasari
Journal of Research and Technology Vol. 5 No. 2 (2019): JRT Volume 5 No 2 Des 2019
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jrt.v5i2.321

Abstract

The use of synthetic fibers in the fabrication of polymer composite materials has a negative impact on the environment. Natural fibers such as palm oil waste and banana pseudostem can be an alternative material for synthetic fibers because they are more economical, high specific strength, and environmentally friendly. The alkali treatment needs to be carried out on fibers for removal of lignin, hemicellulose, and impurity so that they can improve interfacial bonding between the fiber and the polymer matrix. The alkali treatment was carried out through fiber immersion in conditions without NaOH, 5% wt NaOH solution, and 10% wt for 24 hours. Fiber before and after alkalization were analyzed using Scanning Electron Microscope (SEM), X-Ray Difraction (XRD), Fourier Transform Infrared (FTIR), and Thermogravimetric Analysis (TGA) methods. The results showed that alkali treatment was effective in removing the components of lignin, hemicellulose, and impurities in fiber. The result of the SEM showed that the treated fiber surface had a cleaner surface than treatment without fiber. The alkalitreatment process can improve the crystallinity and crystallinity index of the fiber due to amorphous component removal of lignin and hemicellulose. The TGA result of palm oil fiber with alkali treatment and without alkali treatment produced weight loss of 88,2% and 98,4% respectively. This showed that the alkali treatment can increase the thermal resistance of the palm oil fiber.
Implementation of YOLOv5s for Automatic Waste Category Classification in Digital Waste Bank Systems Rinanto, Noorman; Mat Syai’in; Agus Khumaidi; Muhammad Khoirul Hasin; Lilik Subiyanto; Vivin Setiani; Firstama Yusuf Noor; Harun Ismail
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 20 No. 1 (2026)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v20i1.1894

Abstract

The increasing volume of organic waste in campuses or households demands innovative solutions for waste management and classification. This study proposes an automated classification system based on deep learning using the YOLOv5s algorithm to detect 14 categories of inorganic waste in real-time. The dataset consists of over 3.500 labeled images, annotated via Makesense.ai and augmented using Roboflow. The model was trained on Google Collaboratory for 100 epochs using the YOLOv5s architecture and evaluated based on precision, recall, F1-score, and mean Average Precision (mAP). Training result show mAP@0.5 approaching 100% and mAP@0.5:0.95 around 85%, with an average confidence score of 88.30% during real-time testing using a webcam. These findings demonstrate that YOLOv5s can accurately and efficiently classify waste objects, offering strong potential for integration into digital waste bank systems to enhance the efficiency and transparency of waste management processes.
Sistem IoT Monitoring dan Pengendalian Otomatis Mesin Pencacah Komposter BSF Ryan Yudha Adhitya; Fannani, Rabbani Rifqi; Vivin Setiani; Apriani, Mirna; Priastuti, Ulvi
Jurnal Elektronika dan Otomasi Industri Vol. 13 No. 1 (2026): Jurnal Elkolind Vol. 13, No. 1, 2026 (Mei 2026)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v13i1.8643

Abstract

Proses pengelolaan sampah organik melalui komposting memerlukan pengendalian suhu dan kelembapan yang optimal untuk mendukung dekomposisi yang efisien. Pengaturan manual konvensional kurang efektif dalam memantau parameter tersebut secara real-time. Penelitian ini bertujuan untuk mengembangkan sistem monitoring dan pengendalian otomatis pada mesin pencacah BSF berbasis Internet of Things (IoT) guna mengatur suhu dan kelembapan di ruang kompos. Sistem ini memanfaatkan sensor DHT22 untuk mengukur suhu dan sensor soil moisture untuk kelembapan, yang terintegrasi dengan mikrokontroler ESP32 untuk pemantauan melalui platform IoT. Metode penelitian meliputi perancangan sistem, pembuatan prototipe, serta evaluasi kinerja sensor dan pengendalian motor dengan teknik PWM. Hasil uji coba menunjukkan bahwa sistem IoT meningkatkan efisiensi komposting melalui kontrol otomatis yang lebih akurat, sekaligus mengurangi ketergantungan pada pengaturan manual. Sistem ini menawarkan solusi ramah lingkungan yang mendukung pengelolaan sampah organik secara berkelanjutan dan efisien. Keywords: Internet Of Things (IoT), Black Soldier Fly (BSF), Komposting
Co-Authors Adhi Setiawan Agus Khumaidi Devina Puspitasari Fannani, Rabbani Rifqi Firstama Yusuf Noor Fitri Hardiyanti Fitri Hardiyanti Harun Ismail Lilik Subiyanto Mar’atus Sholihah Mat Syai’in Mirna Apriani Muhammad Khoirul Hasin Nabila Nurulita Maghfirani Nora Amelia Novitrie Novitri, Nora Amelia Nur Fajar Aprilia Sari Nurwijayanti Ria Rismawati Rinanto, Noorman Ryan Yudha Adhitya Sekarsari Wibowo Ulvi Pri Astuti