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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 LIMNOTEK
Tri Retnaningsih Soeprobowati
Biology Department, Faculty Of Sciences And Mathematics, Diponegoro University
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 Engineering 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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EKSPLORASI POTENSI SPIRULINA DALAM PENANGANAN LIMBAH OLI BEKAS KENDARAAN Amalia, Andin Vita; Haris, Amnan; Heriyanti, Andhina Putri; Amelia, Rizki Nor; Rifa’atunnisa, Rifa’atunnisa; Soeprobowati, Tri Retnaningsih; Christwardana, Marcelinus
Bookchapter Alam Universitas Negeri Semarang Vol. 5 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ka.v5i1`.273

Abstract

Oli merupakan pelumas mesin kendaraan bermotor yang memiliki peran penting dalam menjaga kinerja dan umur panjang mesin. Namun, setelah digunakan, oli bekas harus segera diganti karena sifatnya yang sudah terdegradasi dan mengandung berbagai kontaminan berbahaya. Sayangnya, pengelolaan limbah oli bekas di masyarakat masih sangat terbatas. Oli bekas umumnya hanya dimanfaatkan untuk melumasi baut dan rantai, dicampur dengan solar sebagai bahan bakar alternatif, atau bahkan dibuang dan ditampung tanpa proses pengolahan yang memadai. Hal ini berpotensi menimbulkan pencemaran lingkungan, terutama karena kandungan bahan kimia beracun dan logam berat yang dapat mencemari tanah dan badan air. Salah satu pendekatan yang mulai dikembangkan untuk mengatasi permasalahan ini adalah pemanfaatan mikroorganisme seperti mikroalga. Spirulina, salah satu jenis mikroalga, diketahui memiliki kemampuan sebagai agen bioremediasi yang efektif karena mampu menyerap polutan (bertindak sebagai sorben), mengubah senyawa berbahaya menjadi bentuk yang lebih aman, serta mengakumulasikannya dalam struktur tubuhnya. Spirulina telah berhasil digunakan untuk mengolah berbagai jenis limbah, seperti limbah tahu, minyak jelantah, dan limbah industri batik. Karakteristik limbah oli yang memiliki kemiripan dengan minyak jelantah, terutama karena keduanya berasal dari fraksi minyak bumi, maka spirulina memiliki potensi besar untuk digunakan dalam bioremediasi limbah oli bekas.
ABIOTIC AND BIOTIC POTENTIAL IN THE DEVELOPMENT OF RURAL-BASED ECOTOURISM: A STUDY ON BANTAR KULON VILLAGE, LEBAKBARANG DISTRICT, PEKALONGAN REGENCY, INDONESIA Ahmad, Halim; Soeprobowati, Tri Retnaningsih; Purnaweni, Hartuti; Rahman, Faiq
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 8, NUMBER 2, OCTOBER 2025
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v8i2.23055

Abstract

Aim: This study aims to identify the diversity of biotic, abiotic and culture in Bantar Kulon Village. Methodology and Result: This study uses a combination of qualitative and quantitative research approaches, using descriptive research techniques and ROS (Recreation Opportunity Spectrum). Bantar Kulon Village has a diversity of 5 abiotic potentials in the form of geographical and geological conditions, biotic potentials in 43 types of flora and 48 types of fauna, including 1 species has the status of Not Evaluated; (NE), 8 species have a Data Deficient status (DD), 43 species with Least Concern status (LC), 3 species with Near Threatened status (NT), 3 species Vulnerable (VU), 6 species have Endangered status (EN) and 1 species with Critically Endangered status (CR) based on the status of the International Union for Conservation of Nature (IUCN) Red List, also 13 cultural potentials in the form of art, traditions, sites, and local wisdom. Conclusion, Significance and Impact Study: The potential of abiotic and biotic, also cultural elements of Bantar Kulon Village are very valuable to be capitalized in the form of ecotourism activities. The aspirations of tourists are in Class IV, while the perception of the community towards the development of ecotourism in Bantar Kulon Village is in Class III. This study suggests that limited adjustments should be made, especially in the fulfillment of accessibility and facilities so that the development of tourism in Bantar Kulon Village is more in line with tourist aspirations.
Application of Life Simulation Games in Teaching Network Security and Cryptography Taufani, Agusta Rakhmat; Soeprobowati, Tri Retnaningsih; Widodo, Catur Edi
Journal of Information System and Informatics Vol 7 No 3 (2025): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i3.1161

Abstract

Information security-related mathematical methods are used in the science of cryptography. A collection of methods that offer information security, cryptography is more than just a means of concealing messages. Using only presentation slides or video links at each meeting, the interaction between lecturers and students via SIPEJAR e-learning hinders the Network Security and Cryptography learning process at the State University of Malang (UM) Information Engineering (IT) Undergraduate Study Program. To help students learn more about the area of encoding using SIPEJAR, a game that explicitly explains cryptography was created using these several challenges as the background. The creation of a cryptographic life simulation game is intended to serve as a teaching and learning aid for lecturers and students. Students are expected to better understand related material in a learning atmosphere that is new, more interesting, opens the horizons of the mind, and is more investigative. After going through the equivalence partitioning testing process, in general this system produces a total percentage of 100% in system item test success in the testing process of the 6 item tests carried out and a respondent satisfaction percentage of 84.3%. Thus, the system is running according to the prototype design.
A Comparative Analysis of Naïve Bayes and Logistic Regression for Student Satisfaction Prediction in Microsoft Teams Wulandari, Dewi Arianti; Soeprobowati, Tri Retnaningsih; Nugraheni, Dinar Mutiara Kusumo
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.3197

Abstract

Student satisfaction reflects educational quality, influences retention, and enhances institutional reputation. This study examines the impact of student performance and motivation in online learning using Naïve Bayes and Logistic Regression. Data from 316 respondents at PLN Institute of Technology, collected during the COVID-19 pandemic via Microsoft Teams, were divided into 80% training and 20% testing. The process included questionnaire distribution, data labeling, parameter determination, and normalization to ensure completeness and reliability.  Questionnaire data is stored in Excel format and was processed using Python for programming, Pandas for data manipulation, and Kaggle for dataset management, before being analyzed with Naïve Bayes and Logistic Regression. Finally, the processed data is tested for accuracy using confusion matrix. The results show high precision, recall, f1-score, and accuracy for both methods, with Naïve Bayes achieving an accuracy 93.75% to 97.44% and Logistic Regression achieving 98.95%. In summary, Naïve Bayes can be optimized with threshold adjustments, but Logistic Regression is more reliable than consistent, maintaining high accuracy across different thresholds. Institutions can update their strategies using the latest data to enhance learning experiences. From those results, it can be concluded that Naïve Bayes method should be enhanced, while Logistic Regression is proven reliable. In the future, researchers are encouraged to use more diverse datasets while also considering external factors such as technological infrastructure and psychological support.
Enhanced U-Net models with encoder and augmentation for phytoplankton segmentation Ardhi, Ovide Decroly Wisnu; Soeprobowati, Tri Retnaningsih; Adi, Kusworo; Prakasa, Esa; Rachman, Arief
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.
THE MINIMUM NUMBER OF VALVES FOR DIATOMS IDENTIFICATION IN RAWAPENING LAKE, CENTRAL JAVA Soeprobowati, Tri Retnaningsih; Tandjung, S. Djalal; Sutikno, Sutikno; Hadisusanto, Suwarno; Gell, Peter
BIOTROPIA Vol. 23 No. 2 (2016): BIOTROPIA Vol. 23 No. 2 December 2016
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4146.57 KB) | DOI: 10.11598/btb.2016.23.2.486

Abstract

Technical challenges in using diatoms for paleolimnological studies include the identification and enumeration of diatom valves. The minimum number of valves required for identification varies, ranging from 100 to 700 valves of the dominant species. This task can be very time-consuming, particularly when diatom valves are scarce. This study was conducted to determine the minimum number of valves needed for identification in diatom assemblages from Rawapening Lake, Central Java, Indonesia. Based on 314 samples collected from Rawapening Lake, diatom counting efficiency exceeded 0.85 when a minimum of 300 valves was counted. The number of diatom species identified remained stable after counting at least 300 valves. Therefore, the minimum number of diatom valves required to represent the assemblage for paleolimnological analysis is 300.
Bibliometric Trends in Diatom Research: Emphasis on Lakes and Oxbow Lakes Ecosystems Sofia Puspitarini; Soeprobowati, Tri Retnaningsih; Khotimperwati, Lilih; Jumari, Jumari; Al Falah, Mirza Hanif; Yustiawati, Yustiawati; Ardianor, Ardianor; Kruszewski, Łukasz
LIMNOTEK Perairan Darat Tropis di Indonesia Vol. 31 No. 2 (2025)
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/limnotek.2025.12959

Abstract

Diatoms are unicellular microalgae that play a vital role in freshwater ecosystems and are widely recognized as effective bioindicators of aquatic environmental conditions. This paper presents a literature review and bibliometric analysis of the composition and distribution of diatoms in lakes, focusing on oxbow lakes. Bibliometric data were retrieved from the Scopus database and analyzed using the R software with the Bibliometrix package. The results revealed a rising trend in publications over the past two decades, especially concerning climate change, habitat degradation, and environmental monitoring. The Journal of Paleolimnology and researchers such as John P. Smol have emerged as a leading contributors in terms of publication volume and scientific impact. Furthermore, oxbow lakes remain underexplored despite their ecological importance, indicating significant opportunities for future research. This study emphasizes the need for interdisciplinary approaches to support sustainable conservation and management of freshwater ecosystems.
Co-Authors AA Sudharmawan, AA Agnes Indra Mahanani, Agnes Indra Agusta Rakhmat Taufani Ahmad Yusuf Afandi Ahmad, Halim Al Falah, Mirza Hanif Andin Vita Amalia, Andin Vita Anny Miftakhul Hidayah, Anny Miftakhul Ardhi, Ovide Decroly Wisnu ARDIANOR ARDIANOR, ARDIANOR 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 Khotimperwati, Lilih Kristanti, Alberta Widya Kruszewski, Łukasz 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 Sofia Puspitarini 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 Yustiawati, Yustiawati Zainal Arifin Hasibuan Zega, Enita Setiawati