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All Journal International Journal of Public Health Science (IJPHS) International Journal of Advances in Applied Sciences JOURNAL OF COASTAL DEVELOPMENT ILMU KELAUTAN: Indonesian Journal of Marine Sciences Bioma : Berkala Ilmiah Biologi JURNAL ANATOMI FISIOLOGI SAINS DAN MATEMATIKA Jurnal Ilmu Lingkungan Prosiding Seminar Biologi Jurnal Akademika Biologi BIOTROPIA - The Southeast Asian Journal of Tropical Biology Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Indonesian Journal of Conservation Waste Technology Geoplanning : Journal of Geomatics and Planning Jurnal Teknologi Jurnal Inovasi Teknologi Pendidikan JOIV : International Journal on Informatics Visualization Biosaintifika: Journal of Biology & Biology Education Seminar Nasional Lahan Suboptimal Journal of Information Systems and Informatics Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Data Sciences Proceeding Biology Education Conference INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Indonesian Journal of Limnology Jurnal MAIYAH Bookchapter Alam Universitas Negeri Semarang

Tri Retnaningsih Soeprobowati

Biology Department, Faculty Of Sciences And Mathematics, Diponegoro University

Author-ID : 384124

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Veterinary Other

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Sebaran Residu Endosulfan dan DDT di Lahan Pertanian Kecamatan Wanasari, Kabupaten Brebes Poniman Poniman; Tri Retnaningsih Soeprobowati; Muhammad Helmi
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Publisher : Pusat Unggulan Riset Pengembangan Lahan Suboptimal (PUR-PLSO) Universitas Sriwijaya

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

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

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

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

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

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.

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

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

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

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.

Measuring interest and talent in determining learning using the quadrant model in the learning process in a smart classroom Santiko, Irfan; Soeprobowati, Tri Retnaningsih; Surarso, Bayu; Tahyudin, Imam
Jurnal Inovasi Teknologi Pendidikan Vol. 12 No. 1 (2025): March
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v12i1.73585

Naturally, the learning process in smart classrooms is greatly impacted by the trend of individual learning, now known as personalized learning. Several studies have demonstrated that, because of the problem of technological advances, the effectiveness of the anticipated results has not been fully achieved. While there are technology benefits, some scholars link them to issues. This study aims to demonstrate it by evaluating learning interests and talents. A sample of at least 1000 students from 419 universities participated in the questionnaire experiment. Each of the three questionnaire domains, affective, cognitive, and psychomotor, was examined using ANOVA. The coefficient test uses two variables: interest and talent. With an ANOVA P-value of 0.021 for psychomotor and 0.031 for affective and cognitive, the three domains demonstrated a statistically significant connection. The coefficients of interest and talent, which average between 1 and 0.05 for P emotional and cognitive interest (0.054) and P talent (0.023) and between 0.027 and 0.055 for P psychomotor interest and P talent, demonstrate the significant values of both factors. The developed interest and talent measuring model can be used to forecast learning outcomes based on these findings. In addition to information technology, the results of this interest and talent-measuring design can be utilized to define and evaluate the learning process, including its appropriateness. Further research recommendations include a framework to measure interests and talents early, aiding admissions, curriculum, resources, methods, and learning media development.

Modelling Environmental Impact of Sea Dike and Toll Road in Semarang-Demak Indonesia Based on Satellite Imagery Data Widjonarko, Widjonarko; Purnaweni, Hartuti; Maryono, Maryono; Soeprobowati, Tri Retnaningsih
Geoplanning: Journal of Geomatics and Planning Vol 12, No 1 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.1.31-44

The construction of the sea dike and Semarang-Demak toll road has severed the mangrove ecosystem inside the dike, as well as increased greenhouse gas impacts due to transportation activities and the growth of built-up areas around the dike and toll road. The aim of this research is to formulate a regression model based on spatial data that can be used to measure the impact of transportation activities and building intensity on LST. The data used in this study are the number of motorized vehicles crossing the main roads in Semarang City and LST obtained from the Landsat 8 thermal infrared sensor band in 2013 and 2019. This research utilizes Geographic Information System, Remote Sensing, and statistical methods to model the environmental impact of the sea dike and toll road development. This model used to predict the environmental impact of the sea dike and Semarang-Demak Toll Road in the future. The result shows that the increase in the number of motorized vehicles and building intensity has a high contribution to LST. Every additional 1,000 passenger cars on a road will make LST increase from 0.0150C to 0.0380C, whereas every 10% increase in land intensity will make LST increase by 0.030C. In addition, there is an increase in the LST value of 300C from 260C previously. This model is expected to provide input for each stakeholder to mitigate the potential environmental impacts of the Semarang-Demak Sea dike and toll road in the future, and hope that the Semarang-Demak Sea dike.

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 Ardhi, Ovide Decroly Wisnu Arief Rachman Ariyanto Wibowo, Ariyanto Atunnisa, Rifa' 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 Daniel Happy Putra 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, Esa 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 Peter Gell Pireno, Purwanto Adi Poniman Poniman Prasetyo, Syarif Purnomo Putro, Sapto Purwanto Purwanto Rahim, Aulia Riche Hariyati 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

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