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Determination of Minimum Number of Frustule for Identification of Diatoms in Telaga Cebong, Dieng, Central Java, Indonesia Oki Rachmalia Rozi; Tri Retnaningsih Soeprobowati; Riche Hariyati
Indonesian Journal of Limnology Vol. 3 No. 2 (2022): Indonesian Journal of Limnology
Publisher : Indonesian Society of Limnology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.039 KB) | DOI: 10.51264/inajl.v3i2.27

Abstract

Diatoms belong to the division of Bacillariophyta; their cell walls composition of silica (SiO2) was the primary characteristic of their structure. Diatoms are good for water quality assessment and paleolimnological analysis. The determination number of frustule which has to be counted for diatom is one of the critical steps in process identification. Several studies usually use a range starting from 100-600 frustules, which refers to the "fixed count" method, that is time-consuming. Research about the minimum frustules number that is acceptable for water character in Indonesia has been limited studied. This research aim is to determine the minimum number of frustules need to identify the diatom assemblage, especially at Telaga Cebong, Dieng, Central Java, Indonesia. The sediment samples were taken vertically with D’Section corer until a depth of 200 cm sediment samples then  sliced every 10 cm. The labwork activites consisted of  digestion, preparation, enumeration, and identification of diatom species with the numberof frustules of 100,200, 300, 400, 500, and 600. The diatom data are analyzed with the formula for the maximum efficiency value. Based on 19 sediment samples from different sediment layers, the maximum efficiency value obtained was above the range of 0.85 to 0.92. The number of identified species remained stable after a minimum of 300 frustules. Therefore, at least 300 frustules are needed for identification of diatom for paleoreconstructions at Cebong Lake.
Human Ecology and Adaptive Governance in Vulnerable Mangrove Ecosystems: Global Trends and Implications for Indonesia Riesti Triyanti; Tri Retnaningsih Soeprobowati; Sri Sumiyati; Nur Arifatul Ulya
Jurnal Sosial Ekonomi Kelautan dan Perikanan Vol 21, No 1 (2026): JUNI 2026
Publisher : Balai Besar Riset Sosial Eonomi Kelautan dan Perikanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jsekp.v21i1.19965

Abstract

Mangrove  ecosystems  are  vital  for  coastal  socio-ecological  resilience,  yet  governance  outcomes  often  remain weak  due  to  institutional  fragmentation  and  escalating  climate  risks.  This  study  combines  a  PRISMA  2020 systematic review with bibliometric mapping (VOSviewer) of 520 Scopus-indexed publications (2000–2025) to trace global research evolution and derive Indonesia-relevant insights. Publication output accelerated sharply after 2018, peaking at >60 documents in 2024, and research production is concentrated in high-income countries (e.g., the United States ~18.6%), while Indonesia contributes only ~9.7% despite hosting the world’s largest mangrove extent. Keyword mapping identifies three dominant clusters—ecological foundations, human ecology and  governance,  and  environmental  dynamics—with  recent  trends  shifting  toward  climate–governance  and resilience themes. The key gap is that governance and resilience discourse rarely translates into an integrated institutional design linking multi-level coordination, community adaptive capacity, and long-term financing; the novelty of this study is the Dynamic Adaptive Institutional Alignment Framework that explicitly integrates these components to inform Indonesia-oriented governance reform. Findings support moving beyond restoration targets toward adaptive, learning-based, and financially durable governance architectures. The study contributes theoretically by operationalizing adaptive governance within mangrove socio-ecological systems and offers policy guidance for strengthening climate-responsive and inclusive coastal governance under conditions of increasing uncertainty. 
Performance of Microalgae Consortia in Palm Oil Mill Effluent Remediation: An Eco-Friendly Strategy Andin Vita Amalia; Tri Retnaningsih Soeprobowati; Marcelinus Christwardana
Jurnal Pendidikan IPA Indonesia Vol. 15 No. 1 (2026): March 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpii.v15i1.40485

Abstract

Palm oil production continues to grow in line with global market demand; however, production waste is also expected to increase. The treatment of Palm Oil Mill Effluent (POME) remains a critical environmental challenge due to its high organic load and complex pollutant composition, thereby requiring serious management. This study investigates the potential of four microalgal consortia in remediating POME. A quantitative experimental approach was employed to evaluate the efficiency of the microalgae consortium exposed to different POME concentrations (25%, 50%, and 75%) over 14 days. The results revealed that the three-species consortium CNT (Chlorella vulgaris, Nannochloropsis oculata, and Tetraselmis chuii) exhibited superior performance in reducing COD, BOD, and TSS, with removal efficiencies of 77.55%, 72.73%, and 49.7%, respectively, compared to the two-species consortium. The optimal physicochemical parameters supporting CNT growth were recorded at pH 9.19-9.6, 29.1-30.6 °C, and adaptive salinity up to 41 ppt. The biomass yield of the CNT consortium (3.862 g L⁻¹ at 25% POME) was lower than that of NT (4.671 g L⁻¹ at 25% POME), indicating that CNT allocated more energy to detoxifying and remediating POME than to biomass accumulation. Future research should focus on optimizing response surface methodology and scaling up photobioreactor systems through metagenomic and transcriptomic analyses to simultaneously maximize remediation efficiency and biomass productivity of the CNT consortium. These findings provide strategic opportunities to harness polyculture microalgae consortium as a sustainable, scalable, and economically viable technology for POME remediation.  
Traditional-Enhance-Mobile-Ubiquitous-Smart: Model Innovation in Higher Education Learning Style Classification Using Multidimensional and Machine Learning Methods Irfan Santiko; Tri Retnaningsih Soeprobowati; Bayu Surarso; Imam Tahyudin; Zainal Arifin Hasibuan; Ahmad Naim Che Pee
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.
Application of Life Simulation Games in Teaching Network Security and Cryptography Agusta Rakhmat Taufani; Tri Retnaningsih Soeprobowati; Catur Edi Widodo
Journal of Information System and Informatics Vol 7 No 3 (2025): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

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.