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Perencanaan Struktur Atas Tempat Pengolahan Sampah Terpadu (TPST) Universitas Jambi Shandy Darham, Mamta Faradiela; Nurdin, Ade; Khairinnisa, Diah
Jurnal Bangunan Konstruksi Vol 3 No 2 (2025): Barakka - Jurnal Bangunan Konstruksi
Publisher : PSTS FT UIM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63877/jbk.v3i2.178

Abstract

Penelitian ini bertujuan untuk merencanakan kekuatan struktur atas bangunan Gedung Tempat Pengelolaan Sampah Terpadu (TPST) Universitas Jambi sesuai standar perencanaan terbaru. Objek penelitian meliputi elemen struktur atas gedung, yaitu pelat lantai, balok, kolom pada bangunan kantor dua lantai dari beton bertulang, serta rangka atap bangunan pengolahan sampah yang menggunakan struktur baja. Data yang digunakan terdiri dari gambar perencanaan, spesifikasi material, kondisi eksisting, serta ketentuan pembebanan mengacu pada SNI 1726:2019, SNI 2847:2019, dan SNI 1727:2020. Metode analisis dilakukan dengan pemodelan struktur menggunakan software ETABS 18.1.1 untuk memperoleh gaya dalam ultimite, kemudian dilakukan desain elemen struktur berdasarkan perhitungan kekuatan nominal sesuai standar. Hasil penelitian menunjukkan bahwa dimensi elemen struktur yang direncanakan mampu menahan beban mati, beban hidup, serta beban gempa berdasarkan analisis spektrum respons. Seluruh elemen struktur memenuhi persyaratan kekuatan dan layanan, sehingga desain struktur atas TPST Universitas Jambi dinyatakan layak dan aman untuk diimplementasikan.
PERENCANAAN ANGGARAN MITIGATIF SEBAGAI PILAR PEMBANGUNAN INFRASTRUKTUR TANGGAP BANJIR : INOVASI KOLABORATIF DENGAN DINAS PERUMAHAN DAN KAWASAN PERMUKIMAN KABUPATEN MUARO JAMBI Kumalasari, Dyah; Nurdin, Ade; Nurul Kusuma Whardani, Putri; Astasya, Nita; Mikhail, Reguel
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 9, No 1 (2026): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v9i1.%p

Abstract

Kabupaten Muaro Jambi memiliki tingkat kerentanan tinggi terhadap banjir musiman, dengan lebih dari 15 desa terdampak setiap tahun. Data BPBD 2023 menunjukkan lebih dari 2.500 rumah tergenang air hingga ketingguian 100 cm, yang menyebabkan kerugian material dan nonmaterial, terganggunya aktivitas sosial-ekonomi, serta meningkatnya risiko kesehatan. Faktor-faktor ini diperburuk oleh alih fungsi lahan yang mengurangi daya serap air dan infrastruktur publik yang kurang adaptif terhadap banjir. Program pengabdian masyarakat bertujuan untuk menyusun Rencana Anggaran Biaya (RAB) untuk pembangunan ruang komunal multifungsi di Dusun Tuo, Desa Pematang Jering, Kecamatan Jaluko. Ruang komunal ini tidak hanya berfungsi sebagai fasilitas publik sehari-hari, tetapi juga sebagai ruang evakuasi darurat selama bencana, dirancang untuk menghadapi dinamika banjir. Penyusunan RAB melibatkan partisipasi masyarakat dan Dinas Perumahan dan Kawasan Permukiman (PERKIM), untuk memastikan akuntabilitas dan relevansi terhadap kebutuhan lokal. RAB yang disusun mencakup perencanaan desain, material, dan pelaksanaan pembangunan secara sistematis dan efisien. Melalui program ini, diharapkan ruang komunal multifungsi dapat menjadi solusi inovatif untuk meningkatkan ketahanan masyarakat, mengurangi dampak bencana, dan mendukung pembangunan berkelanjutan. Selain itu, program ini memperkuat kolaborasi antara institusi pendidikan, pemerintah daerah, dan masyarakat dalam menciptakan infrastruktur yang adaptif dan berorientasi pada peningkatan kualitas hidup masyarakat Kabupaten Muaro Jambi
Pendampingan dan Workshop untuk Penggiat Lingkungan: Pemanfaatan Vizly (AI – Powered Data Analysis) dalam Analisis Statistik Lingkungan Hidup Mardhotillah, Bunga; Shally Yanova; Bambang Irawan; Ade Adriadi; Lailal Gusri; Edi Saputra; Ade Nurdin; Tri Syukria Putra
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

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.
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.
Co-Authors Abdul Manab Abil Abil Abiyoga, Nurza Purwa Ade Adriadi Adelia Khairunnisa Lubis Agistin, Veriza Ahmad Zaki Ai Saadah Alfernando, Oki Ana Wahyuni Anisa Putri Risandra Astasya, Nita Astrid Puja Yanti Ayzadt, Muhammad Bahar, Fetty Febriasti Bambang Irawan Dastrinal Tessal Del Zamre Ikhlas Dhimas Cakrawisnu Diana Novita Sukma Dila Oktarise Dwina Dwina, Dila Oktarise Dyah Kumala Sari Dyah Kumalasari Dyah Kumalasari Dzano Prayoga Edi Saputra Edi Saputra Erlangga Erlangga Fernando Triswanto Fetty Febriasti Bahar Fetty Ferbriasti fetty Fevriasti Bahar, Fetty Fiqroh Muhamad Akbar Galih, Ira Glodea Aura Zalsa Gusri, Lailal Hadistya Suryadri Hariestya Viareco Harmes Harmes, Harmes Hazifa Helda Riana Hutagalung, Winny Laura Christina Ilfan, Freddy Ilman, Dzulfanur Imam Haji Batubara Indah Puspita Dewi Isham, Najuan Jamal, Nurman Khairinnisa, Diah Kusuma Whardani, Putri Nurul Lince Muis Ismet M Nuklirullah M.Nuklirullah Mardhotillah, Bunga Mikhail, Reguel Muhammad Padri Muhammad Padri Nadia Tristhayanti Nehru Nehru Noka, Hardiani Nofriza Zarisma Nuklirullah, M. Nurman Jamal Nurul Kusuma Whardani, Putri Oki Alfernando Prihatini, Putri Rahmadilla Purba Abiyoga, Nurza Putri Nurul Kusum Whardani Randi Kairu Septiawan Rani Febriani Resy Victoria Rian Wahyudi Rinaldi Rinaldi Rinaldi Rinaldi Rizki Andi Saputra Shandy Darham, Mamta Faradiela Soni Ade Sudirjo Syahrial Alfarisi Alamsyah Tata Wisnu Wardana Tendy Laksana Titania Oktaviani Tri Syukria Putra Viareco, Hariestya Winny Laura C Winny Laura C Wira Kesuma Putra Wira Yanova, Shally Yanuar Fitri Yosi Riduas Hais Yudhagama, Fadhol Yulia Morsa Said