Claim Missing Document
Check
Articles

PRODUKSI BIOGAS DARI ECENG GONDOK (Eichhornia crassipes (Mart.) Solms) DAN LIMBAH TERNAK SAPI DI RAWAPENING Nurfitri Astuti; Tri Retnaningsih Soeprobowati; Budiyono Budiyono
Proceeding Biology Education Conference: Biology, Science, Enviromental, and Learning Vol 10, No 2 (2013): Seminar Nasional X Pendidikan Biologi
Publisher : Universitas Sebelas Maret

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

Abstract

Biogas merupakan salah satu sumber energi terbarukan yang dihasilkan oleh fermentasi anaerobik bahan-bahan organik. Bahan organik yang dapat dimanfaatkan antara lain limbah ternak sapi dan eceng gondok. Kelimpahan eceng gondok banyak ditemukan di Rawapening, hal ini dapat menimbulkan berbagai masalah salah satunya adalah pendangkalan Rawapening. Proses pembuatan biogas dimulai dari  pembuatan digester, proses pengambilan eceng gondok, proses pengambilan kotoran sapi, pencampuran bahan dan pengukuran volume gas. Variasi yang di gunakan dalam produksi biogas berdasarkan kadar padatan dari eceng gondok dan kotoran sapi. Hasil dari pengukuran kadar padatan eceng gondok sebesar 18% dan kotoran sapi sebesar 27%. Hanya 8 % padatan dari total volume digester yang digunakan dalam produksi biogas. Hasil pengukuran volume biogas terhadap variasi jumlah eceng gondok  terhadap substat, yang optimal adalah perbandingan 40:60:500 dari eceng gondok, kotoran sapi dan air sebesar 125,7 ml. Hasil pengukuran jumlah biogas terhadap variasi jumlah limbah kotoran sapi terhadap substrat yang optimal yaitu perbandingan 40:80:480 eceng gondok, limbah kotoran sapi dan air yaitu sebesar 176,33 ml. Dan hasil pengukuran volume biogas terhadap variasi jumlah eceng gondok dan limbah kotoran sapi terhadap komposisi substrat yang optimal dengan perbandingan 0:80:520 sebesar 134,67 ml.   Kata kunci: Eceng gondok, biogas, Rawapening.
Sebaran Residu Endosulfan dan DDT di Lahan Pertanian Kecamatan Wanasari, Kabupaten Brebes Poniman Poniman; Tri Retnaningsih Soeprobowati; Muhammad Helmi
xxxx-xxxx
Publisher : Pusat Unggulan Riset Pengembangan Lahan Suboptimal (PUR-PLSO) Universitas Sriwijaya

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

Abstract

Poniman P, Soeprobowati TR, Helmi M. 2020. Distributions residue of  endosulfan and DDT in  lands agricultural wanasari sub-district, Brebes regency. In: Herlinda S et al. (Eds.), Prosiding Seminar Nasional Lahan Suboptimal ke-8 Tahun 2020, Palembang 20 Oktober 2020. pp. xx. Palembang: Penerbit & Percetakan Universitas Sriwijaya (UNSRI).As the result of pesticide use by exaggerated on farming sector can causing land degradation. The movement of some shallot farmers agriculture from Brebes Regency to neighboring districts, such as Cirebon, Majalengka, and Kendal is evidence of the degradation of shallot land in Brebes. The pesticides of Endosulfan and DDT were many and often used to control pests during the green revolution. The research aimed to determine the distribution residues of endosulfan and DDT  in the upstream area of Wanasari sub-District. The research was carried out by taking soil samples in the field, analyzing pesticide residues in laboratory, and mapping the distribution of residues. A total of 45 soil sample points were collected from the upstream part rice fields of Wanasari sub-District, Brebes Regency. Residue analysis was carried out at the Integrated Laboratory of the Agricultural Environment Research Institute, using the QuEChERS method. Meanwhile, the residue distribution mapping used the Spline interpolation method. From the identified land of 4,688,825 ha, it was detected that the endosulfan residue in the high-very high category was 1,605,576 ha (34.2%) and the high-very high category of DDT residue was 752.2028 ha (16.0%).
The Impact of Water Quality Detorioration in Mangrove Forest in Semarang Coastal Area Kenanga Sari; Tri Retnaningsih Soeprobowati
Indonesian Journal of Limnology Vol. 2 No. 2 (2021): Indonesian Journal of Limnology
Publisher : Indonesian Society of Limnology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.745 KB) | DOI: 10.51264/inajl.v2i2.20

Abstract

The fast-growing development and industrialization have caused various impacts on nature including heavy metal pollution, especially in the coastal area. Tambakredjo, located in the North Semarang city, is home to a large number of mangrove and animal species. Therefore, water quality is important. This study was conducted to analyze water quality in the coastal area of Tambakredjo based on physical and chemical measurements. Water quality data were collected from different sites. Physical parameters (temperature, pH, DO, EC, TDS, ORP and salinity) and chemical parameters (Total N, Total P, Pb, Cr, Cd) were observed. Multivariate statistical techniques, including Principal Component Analysis (PCA), was applied to evaluate water quality. The results showed first principal component is 76.27%, where the highest conductivity, total dissolved solids and salinity are associated with site 1. Content of Lead 1.289 ppm, Cadmium 0.021 ppm, and Chromium 0.352 ppm exceeds the water quality standard PP. No. 82/2001. It indicated that Site 1 was characterized as the most heavily polluted site because the location received pollutants from rivers and oceans. This study also examined the short-term changes of the mangrove-covered area at the side of Banjir Kanal Timur using historical map satellite images. The results show that mangrove coverage in Tambakredjo near the aquaculture area had decreased from 1,875m2 to 1,401m2. Meanwhile, on the other site, the mangrove planting effort as a restoration program is carried out, especially in the estuary of Banjir Kanal Timur to anticipate more environmental changes.
Assessing actual usage and satisfaction factors of Microsoft Teams in online learning Dewi Arianti Wulandari; Tri Retnaningsih Soeprobowati; Dinar Mutiara Kusumo Nugraheni
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 2: May 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i2.pp991-1001

Abstract

This study examines the factors influencing students’ online learning using Microsoft Teams at the PLN Institute of Technology. Using primary data from 301 students, the study found that the use of Microsoft Teams improved student achievement and learning performance during the pandemic. The structural equation model (SEM) method tested the model with low validity, with all variables having an AVE value more than 0.5 and higher than the cross-loading factor valid, the outer model analysis demonstrated good convergent validity. Dependability and trustworthiness were shown by the composite reliability rating, which was over 0.70. Both perceived usefulness (PU) and perceived ease of use (PEOU) were shown to have a strong correlation, and the inner model analysis revealed positive path coefficient values without any weak variables. These results supported by hypothesis testing imply that lecturers can modify their curricula to enhance student performance in the event of a pandemic. There was shown to exist a strong relationship between the perceived ease of use and perceived usefulness.
A Study on the Usage of Learning Management Systems in Higher Education Wulandari, Dewi Arianti; Soeprobowati, Tri Retnaningsih; Nugraheni, Dinar Mutiara K; Wandy, Wandy
Jurnal Teknologi Vol 16 No 2 (2023): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v16i2.4556

Abstract

This research aimed to determine the extent to which the learning management system helps in online teaching and learning activities makes learning administration and management more accessible, and makes learning activities more effective. The research used primary data from a survey from universities in West Jakarta that 69% of most respondents used a learning management system, whether they are using the existing learning management or building their own, and 44% are using Moodle application as their learning management system media. Student readiness was 69%, meaning that most were familiar with using media devices in online learning, and 92% of teaching staff, both lecturers/mentors and instructors, have experience using and evaluating online learning. Universities in West Jakarta have used learning management systems to assist the process of learning activities so that they can be used as a reference for developing online learning models.
Informing compliance factors regarding hospitals waste management procedures in Indonesia: a scoping review Kaban, Markus; Soeprobowati, Tri Retnaningsih; Suhartono, Suhartono; Pireno, Purwanto Adi; Kristanti, Alberta Widya; Sebong, Perigrinus Hermin
International Journal of Public Health Science (IJPHS) Vol 14, No 1: March 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v14i1.24500

Abstract

The hospital staff's non-compliance in managing hazardous waste can hurt the environment and public health. There are various practicals to mitigate the harmful effects of hazardous medical waste on the environment and public health. However, there needs to be evidence to provide accurate data regarding compliance with hazardous waste management at hospitals in Indonesia. This study aims to assess and map the determinants affecting hospital liquid medical waste management. This study examined electronic databases from 2017-2023. Studies were screened based on inclusion and exclusion criteria. The study was grounded in the scoping review to inform compliance factors regarding waste management in Hospitals. One article describes compliance with the regulation, and the other concerns supervising hospital waste management. Those articles are not detailed enough in describing supervision, so we suggest further research about supervision support to foster the management process and the result of hospital waste management. Regulation is essential for all processes and products that affect the environment. Compliance with guidelines needs to become a habit and improve over time.
Enhanced U-Net models with encoder and augmentation for phytoplankton segmentation Ovide Decroly Wisnu Ardhi; Tri Retnaningsih Soeprobowati; Kusworo Adi; Esa Prakasa; Arief Rachman
International Journal of Advances in Applied Sciences Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i4.pp1009-1018

Abstract

This study comprehensively analyzes U-Net models for semantic segmentation in phytoplankton image recognition, leveraging encoders such as EfficientNet-B5, MobileNetV2, ResNet50, and ResNeXt50 and employing the Adam optimizer. The research highlights the U-Net MobileNetV2 model with optical distortion, which achieves notable test scores with 93.69% Dice, 88.14% intersection over union (IoU), 99.89% Precision, and 100% Recall, underscoring the efficacy of the applied augmentation strategies, including geometric and distortion transforms, and color and blur techniques. The U-Net ResNet50 model with mix transform consistently demonstrates high accuracy in critical metrics, outperforming others, while EfficientNet-B5 with blur suggests increased model sensitivity with improved recall. These results underscore the crucial role of encoder-augmentation synergy in model performance. Training and testing times across models have remained under 250 seconds, reflecting methodological efficiency. Overall, these results demonstrate the model's excellent performance for the semantic segmentation task.
Utilizing Environmental DNA to Identify Eukaryotic Diversity in Mangrove Sediments at Demak, Central Java, Indonesia Cahyani, Ni Kadek Dita; Jumari, Jumari; Hariyati, Riche; Rahadian, Rully; Rahim, Aulia; Zega, Enita Setiawati; Kholifah, Rizqi Widya Nur; Barber, Paul Hendry; Putro, Sapto Purnomo; Soeprobowati, Tri Retnaningsih
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 29, No 4 (2024): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.29.4.543-556

Abstract

The mangrove ecosystem, found along tropical and subtropical coasts, adapts to extreme conditions like rapid tidal changes, high salinity, anthropogenic influences, and anoxic environments. Mangrove sediments host diverse organisms, particularly invertebrates and bacteria, which significantly influence sediment structure and biochemical processes by enhancing permeability and water flow. Modern molecular approaches, notably Next-Generation Sequencing (NGS), are increasingly used to identify macro and microorganism communities in sediments. NGS, a powerful tool for DNA and RNA sequencing, allows for parallel sequencing of numerous DNA fragments, providing comprehensive insights into genome structure, genetic variants, gene expression, and epigenetic modifications. Its efficiency and cost-effectiveness make NGS vital for both basic biological research and clinical diagnostics. Recent NGS studies on mangrove sediments have focused on bacterial, archaeal, and fungal diversity. The study examines eukaryotic diversity in mangrove sediments at two locations, targeting the Cytochrome Oxidase Subunit I (COI) gene, a universal marker for eukaryotes. Results indicate distinct taxa at each site with minimal overlap, demonstrating eDNA's potential for assessing both macro and microorganism diversity in mangrove sediments. This preliminary study underscores the utility of molecular techniques in biodiversity research and also dynamic ecosystem changes in the mangrove sediment ecosystem. The high influence of the environment around the mangrove ecosystem will affect the quality of the mangrove itself. eDNA here provides a fast method for recording possible changes to be able to carry out better management in the future.
Struktur Komunitas Mikroalga Epifit yang Melekat Pada Eceng Gondok (Eichhornia Crassipes) Di Waduk Penjalin Samudra, Sesilia Rani; Dwiana, Islita Alis; Meinita, Maria Dyah Nur; Soeprobowati, Tri Retnaningsih
MAIYAH Vol 3 No 4 (2024): Maiyah : Vol. 3 No. 4 Desember 2024
Publisher : Fakultas Perikanan dan Ilmu Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.maiyah.2024.3.4.13771

Abstract

Waduk Penjalin terletak di Kabupaten Brebes, Jawa Tengah yang secara umum banyak dimanfaatkan untuk irigasi, pariwisata, dan sebagai sarana perikanan tangkap. Eceng gondok (Eichhornia crassipes) merupakan tumbuhan gulma yang mudah ditemukan di permukaan perairan Waduk Penjalin, di mana sebagian tubuhnya terendam di dalam air. Eceng gondok dapat menjadi substrat bagi tempat hidupnya mikroalga atau yang disebut sebagai mikroalga epifit. Keberadaan mikroalga epifit pada eceng gondok dapat dijadikan sebagai indikator kualitas perairan. Tujuan dari penelitian ini adalah untuk mengetahui struktur komunitas mikroalga epifit yang melekat pada eceng gondok, termasuk nilai kelimpahan, keanekaragaman, serta dominansinya. Penelitian ini dilaksanakan pada Bulan Desember 2022. Metode yang digunakan yaitu purposive sampling dengan pengambilan sampel dari lima stasiun yang berbeda. Mikroalga epifit dari kelas Bacillariophyceae paling banyak ditemukan dengan total kelimpahan 60.367 ind/cm² (46%). Genera yang ditemukan meliputi Gomphonema, Peridinium, Staurastrum, Navicula, Pediastrum, Aulacoseira, Pachus, Ulothrix, Botryococcus, dan Synedra menunjukkan bahwa perairan Waduk Penjalin telah mengalami eutrofikasi. Indeks eanekaragaman berkisar antara 1,03-1,88 dan indeks dominasi berkisar antara 0,19-0,30. Nilai tersebut juga menunjukkan bahwa perairan Waduk Penjalin telah mengalami pencemaran bahan organik pada tingkat sedang. Oleh karena itu perlu adanya upaya pencegahan agar eutrofikasi yang terjadi tidak semakin tinggi dan memperburuk kondisi Waduk Penjalin.
Traditional-Enhance-Mobile-Ubiquitous-Smart: Model Innovation in Higher Education Learning Style Classification Using Multidimensional and Machine Learning Methods Santiko, Irfan; Soeprobowati, Tri Retnaningsih; Surarso, Bayu; Tahyudin, Imam; Hasibuan, Zainal Arifin; Che Pee, Ahmad Naim
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.598

Abstract

Learning achievement is undoubtedly impacted by each person's unique learning style. The assessment pattern is less focused due to the intricacy of the current components. In fact, general elements like VARK are thought to create complexity that can impair focus when combined with elements like environmental conditions, teacher effectiveness, and stakeholder policies. Although it is only ideal in specific areas, the application of supported information technology has so far yielded positive results. This essay attempts to be creative in evaluating how well students learn in higher education settings. An assessment framework that uses multidimensionality and simplifies features is the innovation that is being offered. Method, Material, and Media (3M) are the three categories into which simplification of aspects is separated. However, the Dimensions are categorized into five groups: Traditional, Enhance, Mobile, Ubiquitous, and Smart (TEMUS). Approximately 1200 respondents consisting of students and lecturers formed into a dataset in 2 types of data, namely test data and training data. The trial was conducted using 4 models, namely Random Forest, SVM, Decision Tree, and K-Nearest. The test results were interpreted in MSE, R-Square, Accuracy, Recall, Precision, and F1-Score. Based on the comparison of test results, it states that Random Forest has the most optimal results with MSE values of 0.46, R Square 0.99, Accuracy 0.86, Recall 0.86, Precision 0.87, F1 Score 0.84. Based on the results obtained, it proves that in addition to being able to carry out the classification process, the TEMUS Dimensional Framework can form a pattern of compatibility with each other, between the learning styles of Lecturers and Students. According to this TEMUS framework, teacher and student performance will be deemed suitable and effective when the 3M components are assessed from both perspectives in the same way. If not, a review will be conducted.
Co-Authors AA Sudharmawan, AA Agnes Indra Mahanani, Agnes Indra Agusta Rakhmat Taufani Ahmad Yusuf Afandi Ahmad, Halim Andin Vita Amalia, Andin Vita Anny Miftakhul Hidayah, Anny Miftakhul Arief Rachman Ariyanto Wibowo, Ariyanto Ayu Ambar Alina B Budiyono Barber, Paul Hendry Bayu Surarso Boedi Hendarto Budiyanto Toha Budiyono Budiyono Budiyono Budiyono Catur Edi Widodo Che Pee, Ahmad Naim Decenly - Dewi Arianti Wulandari Dewi Arianti Wulandari Dhony F Putra, Dhony F Dinar Mutiara Kusumo Nugraheni Dwiana, Islita Alis Dyah Ayu Kumalasari Edwin Nurimansyah Erry Wiryani Esa Prakasa Faiq Rahman, Faiq Fitriyanto, Eko Bambang Florensia Setyaningsih Purnamawat, Florensia Setyaningsih Fuad Muhammad Fuad Muhammad Haris, Amnan Hartuti Purnaweni Hendarko Soegondo Hendarko Sugondo Hendro Christi Suhry Hendro Christi Suhry Heriyanti, Andhina Putri Hermawan Setiyo Budi Hartanto Ign Budi Hendrarto, Ign Budi IIS SHOLIKHATI Imam Tahyudin Indro Sumantri Irfan Santiko Jafron Wasiq Hidayat Jumari Jumari Jumari Jumari, Jumari Kaban, Markus Karyadi Baskoro Kenanga Sari Kenanga Sari Kholifah, Rizqi Widya Nur Kristanti, Alberta Widya Kusworo Adi M Murningsih Marcelinus Christwardana Maryono Maryono Meinita, Maria Dyah Nur Muhammad Helmi Muhammad Sindhunata Prambodo, Muhammad Sindhunata Munifatul Izzati Nanik Heru Suprapti Ni Kadek Dita Cahyani, Ni Kadek Dita Nugraheni, Dinar Mutiara K Nurfitri Astuti Nurfitri Astuti Nurfitri Astuti Ovide Decroly Wisnu Ardhi Peter Gell Pireno, Purwanto Adi Poniman Poniman Prasetyo, Syarif Purnomo Putro, Sapto Purwanto Purwanto Rahim, Aulia Riche Hariyati Rifa’atunnisa, Rifa’atunnisa Rizki Nor Amelia Rully Rahadian S. Djalal Tandjung Sapto P Putro Sebong, Perigrinus Hermin Sesilia Rani Samudra Siti Mudhakiroh Sri Ariyati Sri W.A. Suedy Sri Widodo Agung Suedy Sudarno Sudarno Sutikno Sutikno Sutrisno Anggoro SUWARNO HADISUSANTO Tri Hastutiningsih Tyas Rini Saraswati Wandy Wandy Widjonarko . Wildan Suyuti Mustofa Marthana Zainal Arifin Hasibuan Zega, Enita Setiawati