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All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Sumberdaya Alam dan Lingkungan JURNAL PHOTON QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Al-Ard: Jurnal Teknik Lingkungan Journal of Community Based Environmental Engineering and Management Jurnal Daur Lingkungan Jurnal Mandala Pengabdian Masyarakat Jurnal Engineering Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Journal Of Human And Education (JAHE) Jurnal Sains dan Teknologi Jurnal Karya Abdi Masyarakat Jurnal Ecocentrism Global Education Journal Jurnal Pengabdian Masyarakat Pinang Masak International Assulta of Research and Engagement JURNAL TEKNOLOGI LINGKUNGAN Journal of Conflict and Social Class (JCSC) Jurnal Salome (Multidisipliner Keilmuan)
Yanova, Shally
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Path diagram of SEM-PLS Public Perception of Ecotourism in Jambi Province Mardhotillah, Bunga; Mubarak, Fadhlul; Sundara, Vinny Yuliani; Yanova, Shally; Gusmanely Z, Gusmanely Z
Global Education Journal Vol. 3 No. 1 (2025): Global Education Journal (GEJ)
Publisher : Civiliza Publishing, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/gej.v3i1.295

Abstract

Tourism activities are a necessity for individuals and communities because they provide a refreshing impact, both physically and spiritually. One tourism activity that can bring humans closer to nature and the Creator is ecotourism or ecological tourism. This study aims to analyze the factors influencing public perceptions and preferences in Jambi Province towards Ecological Tourism during the Covid-19 Pandemic, spanning the initial pandemic period, PSBB, PPKM, New Normal, and post-pandemic. This research method uses a quantitative approach with primary data from a survey in the form of questionnaires distributed to the community, which data analysis uses SEM-PLS assisted by Smart-PLS software. The results of this study suggest that based on the SEM-PLS path diagram, the path coefficients indicate that all aspects of visitor assessments of ecological tourism destinations in Jambi Province need to be improved, especially related to tourist destination cleanliness, ecological tourism accessibility, tourist attractions, and infrastructure conditions. Therefore, good cooperation between the community and the government is highly recommended in the management of ecological tourism areas in Jambi Province.
Prediction of Renewable Energy Potential to Prevent Greenflation Using Bayesian Structural Time Series: BSTS with JASP Software to Predict PLTMH Potential Mardhotillah, Bunga; Yanova, Shally; Manab, Abdul; Hais, Yosi Riduas; Saputra, Edi; Adriadi, Ade; Nurdin, Ade
International Assulta of Research and Engagement (IARE) Vol. 4 No. 1 (2026): International Assulta of Research and Engagement (IARE)
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/iare.v4i1.1101

Abstract

The global transition toward renewable energy is increasingly urgent to mitigate climate change and reduce dependence on fossil fuels; however, it also introduces economic risks such as greenflation, driven by rising demand for green commodities. In Indonesia, renewable energy development has become a national priority, with Jambi Province identified as a strategic region due to its significant micro-hydropower (PLTMH) potential. This study aims to predict PLTMH potential as a means of supporting energy transition planning and preventing greenflation through data-driven policy decisions. The research employs a Bayesian Structural Time Series (BSTS) approach using JASP software, integrating Kalman Filter, spike-and-slab regression, and Bayesian Model Averaging. Time series data from 2008–2024 were analyzed with 2,000 MCMC draws and a 1% burn-in to ensure estimation stability. The results demonstrate a strong upward trend in PLTMH capacity, with high model accuracy indicated by an R² value of 0.991, low residual standard deviation, and acceptable prediction uncertainty. Forecasts suggest continued growth in PLTMH capacity over the next two decades before reaching a steady state. The study concludes that BSTS is a robust and reliable method for predicting renewable energy potential and supporting counterfactual policy analysis. This research contributes empirically to applied Bayesian time series modeling and practically to renewable energy policy planning, offering evidence-based insights to enhance energy security and mitigate greenflation risks.
IMPROVING COURSE LEARNING OUTCOMES ANALYSIS OF ENVIRONMENTAL IMPACT THROUGH DEVELOPMENT OF PROJECT-BASED LEARNING Shally Yanova; Jalius Jalius
Jurnal Salome : Multidisipliner Keilmuan Vol. 1 No. 2 (2023): Jurnal Salome: Multidisipliner Keilmuan
Publisher : CV. ADIBA AISHA AMIRA

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

Abstract

The Environmental Impact Analysis course is one of the compulsory subjects in the Environmental Engineering Study Program, Jambi University. This course studies sustainable development, environmental issues, use of AMDAL, screening and scoping process, AMDAL methodology, UKL-UPL, DELH, DPLH, environmental audit and KLHS. One of the efforts to obtain optimal course learning outcomes, an active learning model is needed that can provide opportunities for students to design assignments and explore information to be applied. A learning model that can provide experience, knowledge, skills and attitudes for students, namely the project-based learning (PBL) model. The purpose of this study is to see the effectiveness of this project-based learning model in optimizing learning outcomes for the Environmental Impact Analysis course. This research was carried out in the Odd Semester of the 2022/2023 Academic Year. Based on the research results, it is known that this project- based learning model can improve learning outcomes for the Environmental Impact Analysis course. This can be seen from the results of the evaluation of the Environmental Impact Analysis course in the Odd Semester of the 2021/2022 Academic Year, namely the average quiz score of 60.65 and an increase in the Odd Semester of the 2022/2023 Academic Year, namely the average quiz score of 81.75. The results of the measurement using a questionnaire showed that as many as 83% of students considered the project-based learning model to improve understanding in the Environmental Impact Analysis course.
Mentoring and Workshop for Environmental Activists: Utilizing Vizly (AI – Powered Data Analysis) in Environmental Statistical Analysis Bunga Mardhotillah; Shally Yanova; Bambang Irawan; Ade Adriadi; Lailal Gusri; Edi Saputra; Ade Nurdin; Tri Syukria Putra; Achen Karriel
Journal of Conflict and Social Class (JCSC) Vol. 3 No. 01 (2026): Journal of Conflict and Social Class (JCSC)
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jcsc.v3i01.1107

Abstract

This mentorship and workshop aimed to enhance the capacity of environmental activists to understand and apply statistical analysis to environmental issues. Through the use of Vizly (AI-Powered Data Analysis), participants were introduced to an artificial intelligence-based approach that simplifies data processing, visualization, and interpretation of results. The workshop method included intensive mentoring, theoretical presentations, and hands-on practice using relevant environmental data, such as air quality, waste management, and renewable energy utilization. The workshop was conducted in a systematic manner: identifying participant needs, introducing basic statistical analysis concepts, simulating the use of Vizly, and post-workshop mentoring to ensure continued understanding. The results demonstrated improved skills among participants in processing environmental data more quickly, accurately, and evidence-based. Vizly has been proven to assist environmental activists in producing analyses that can support decision-making, policy advocacy, and environmental program planning. The implications of this activity include facilitating the integration of AI technology into environmental work, while also opening up opportunities for collaboration between academics, government, and communities.
POTENSI Echinodorus palaefolius SEBAGAI AGEN FITOREMEDIASI DALAM MENURUNKAN KADAR LOGAM MANGAN PADA AIR ASAM TAMBANG BATUBARA: POTENSI Echinodorus palaefolius SEBAGAI AGEN FITOREMEDIASI DALAM MENURUNKAN KADAR LOGAM MANGAN PADA AIR ASAM TAMBANG BATUBARA Chalista Devi Lestari; Shally Yanova; Putra Fernando Mersa
Jurnal Teknologi Lingkungan Vol. 3 No. 2 (2025): Jurnal Teknologi Lingkungan
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jtl.v3i2.33555

Abstract

This study examined the potential of water jasmine (Echinodorus palaefolius) in reducing manganese levels in Coal Acid Mine Drainage (AMD) using an artificial wetland system. The study was conducted experimentally with time variations of 0, 3, 6, and 9 days, where the manganese concentration was analyzed using Atomic Absorption Spectrophotometry (AAS). The results showed that the initial manganese concentration of 9.75 mg/L, which exceeded the quality standard of the Minister of Environment Decree No. 113 of 2003 (4 mg/L), decreased significantly to 3.94 mg/L on the 3rd day and reached 1.002 mg/L on the 9th day with an effectiveness of 89.73%. An independent t-test showed a significant difference (p < 0.05) between with and without plants. The BCF value of 7.028 classifies E. palaefolius as a highly effective accumulator, while the TF value of 0.6 indicates the presence of a phytostabilization mechanism. Research has proven that water jasmine is effective as an environmentally friendly solution for coal-fired wastewater management with the ability to neutralize pH from 4.28 to 6.53 and reduce manganese concentrations below quality standards in a short time.
Penilaian dan Prediksi Indeks Kualitas Air Sungai Asam, Kota Jambi Lailal Gusri; Lilis Suryani; Shally Yanova; Bambang Irawan; M. Nuklirullah
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 3 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i3.5133

Abstract

The water quality of rivers can deteriorate due to the large amount of pollutants entering the river. Water quality assessments provide an overview of the actual state of water quality. The WQI can provide valuable information about the water quality of rivers. The calculation of the water quality index is carried out because there is a high probability that other parameters also exceed the quality standards, which are not considered when calculating the water quality index. Therefore, it is very important to assess the water quality of the river. The objective of this study was to assess the water quality of the Asam River, Jambi City. The research methodology involved collecting water samples from the Asam River at locations I (upstream), II (middle) and III (downstream) and testing the samples in the laboratory. Indices were analyzed using WQI for the following variables: temperature, total suspended solids (TSS), pH, BOD, COD, nitrate, total phosphate, dissolved oxygen and fecal coliforms. The method using WQI to determine water quality classification values ​​can serve as a reference for problem solving and evaluation of water pollution management. The results based on the calculations resulted in a WQI value of 96,27 at location II (middle); 70,95 at location I (upstream) and 186,01 at location III (downstream). The results of the study on the water quality of the Asam River are as follows: 1) very low water quality, 2) low quality water and 3) unfit for drinking water, posing a risk to aquatic life and human health.
Co-Authors Abdul Manab Achen Karriel Ade Adriadi Ade Adriadi Ade Nurdin Ade Nurdin Alfarizky, Agung Anggaraini, Febri Juita Anita, Sofia Bambang Irawan Bambang Irawan Bunga Mardhotillah Chalista Devi Lestari Dayanti, Reva Destri, Melly Dewi, Nabila Sastra Diah Riski Gusti Edi Saputra Edi Saputra Febri Juita Fernando Mersa Putra Gayatri, Indah Gusmanely Z, Gusmanely Z Gusri, Lailal Hagabean, M. Doli Hariestya Viareco Haris, Hariestya Hutagalung, Winny Laura Christina I Ketut Suada Ilfan, Freddy Iskandar, Jumary Ismet, Lince Muis Jalius Jalius Jalius Jalius Jalius Jalius Jalius Jayawarsa, A.A. Ketut Juita, Febri Khatamsi, Muhammad Kory Asi Mariana Siagian Laura Christina Hutagalung, Winny Laura, Winny Lilis Suryani M. Nuklirullah Mardhotillah, Bunga Meduripa, Harry Fajra Mubarak, Fadhlul Mutmainnah, Elma Naswir, Muhammad Nuklirullah, M. Putra Fernando Mersa Putra, Tri Syukria Putri, Prameswari Amalia Refmayola, Refmayola Rizki Andre Handika Rizki Gusanti Rodhiyah, Zuli RR. Ella Evrita Hestiandari Saleksi, Riki Sarmada, Sarmada Sofia Anita Sundara, Vinny Yuliani Tri Syukria Putra Tri Syukria Putra Wahyuni, Dini Sri Wasibar Gerit Ario Putra Putra Winny Laura Christina Hutagalung Winny Laura Christina Hutagalung Yosi Riduas Hais Z, Gusmanely Zahra, Kintan Larasati Ziadah, Besse Syaharani