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All Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Selvicoltura Asean Techno Agriculturae Studium of Research Journal of Multidisciplinary Sustainability Asean
Dani Lukman Hakim
Institut Teknologi Sains Bandung
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Education Languange, Linguistic, Communication & Media Library & Information Science Other

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ASSISTED NATURAL REGENERATION AS A CLIMATE-RESILIENT STRATEGY FOR RESTORING DEGRADED PEATLAND FORESTS IN CENTRAL KALIMANTAN Dani Lukman Hakim; Lucas Lima; Clara Mendes
Journal of Selvicoltura Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i5.2538

Abstract

Tropical peatland forests in Central Kalimantan, critical global carbon stores, are severely degraded and now act as major greenhouse gas sources due to drainage and fires. This study aimed to evaluate the ecological effectiveness and climate resilience of Assisted Natural Regeneration (ANR) for restoring the hydrological functions and biodiversity of these degraded ecosystems. A field experiment was established across 100 hectares, where the ANR method involved canal blocking to rewet the peat and selective planting of native pioneer species, monitored against control plots over five years. The results showed significant and rapid recovery. Canal blocking successfully raised the water table by an average of 40 cm, drastically reducing fire risk. Furthermore, native tree species richness in ANR plots was over 200% higher than controls, with canopy closure reaching 60%. ANR is highly effective, cost-efficient, and climate-resilient, providing a scalable model that prioritizes rewetting and facilitates natural successional pathways to restore critical ecosystem functions and secure long-term carbon storage.
THE EFFECTIVENESS OF BIOCHAR APPLICATION IN THE REFORESTATION OF POST-MINING LANDS IN EAST KALIMANTAN Dani Lukman Hakim; Marta Kowalska; Theresa Gibbons
Journal of Selvicoltura Asean Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i6.2767

Abstract

Large-scale mining in East Kalimantan leaves severely degraded lands characterized by extreme acidity and chemical toxicity, which critically impede mandatory reforestation efforts often exacerbated by the transient nature of conventional amendments. This study aimed to rigorously quantify the effectiveness of varying biochar dosages on the chemical stabilization of post-mining spoil and the subsequent survival and growth of local pioneer tree species, with the goal of developing an Optimal Biochar Application Protocol. A multi-factorial, randomized complete block design experiment was conducted over 24 months, comparing three biochar dosages (up to 10 \text{ t/ha}) against control and mineral fertilizer plots, supported by a Life-Cycle Cost Analysis (LCCA). Results demonstrated that the optimal dosage (10 \text{ t/ha}) neutralized the spoil’s \text{pH} from 4.0 to 6.5, doubled the Cation Exchange Capacity (\text{CEC}), and achieved a 92\% plant survival rate (versus 48\% in control plots). The ecologically superior biochar treatment also proved to be 35\% more cost-effective than repetitive mineral fertilization over the study period. The research concludes that biochar provides the durable, holistic, and cost-effective solution, successfully addressing the root cause of reclamation failure. The findings validate the Optimal Biochar Application Protocol, compelling a necessary shift toward sustainable, carbon-sequestering reclamation practices.  
A GIS-BASED DECISION SUPPORT SYSTEM FOR SUSTAINABLE LAND USE PLANNING AND CLIMATE CHANGE ADAPTATION IN THE BRANTAS RIVER WATERSHED Dani Lukman Hakim; Luis Santos; Maria Clara Reyes
Techno Agriculturae Studium of Research Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i3.2522

Abstract

The Brantas River Watershed, a vital socio-economic region in East Java, Indonesia, faces escalating environmental pressures from unplanned urbanization and intensive agriculture. These challenges are exacerbated by climate change, leading to increased land degradation, soil erosion, and severe flood events, which threaten the watershed’s long-term sustainability and the livelihoods of millions. This study aimed to develop and validate a Geographic Information System (GIS)-based Decision Support System (DSS) to aid policymakers in formulating integrated, evidence-based strategies for sustainable land use planning and climate change adaptation within this critical watershed. The DSS was constructed by integrating a multi-criteria evaluation (MCE) framework within a GIS environment. Key geospatial datasets (land cover, soil type, slope, rainfall projections) were weighted using the Analytical Hierarchy Process (AHP). The system models land suitability and vulnerability to environmental hazards under various climate change scenarios. The developed DSS successfully generated high-resolution maps identifying priority zones for conservation, reforestation, and sustainable development. The model revealed that 22% of the upper watershed area is at high risk of landslides under projected rainfall patterns. The optimized land use plan proposed by the DSS demonstrated a potential to reduce surface runoff by up to 35%, significantly mitigating flood risk. The GIS-based DSS is a powerful and effective tool for integrated watershed management. It provides a dynamic, scientifically-grounded platform for strategic planning, enabling policymakers to balance ecological protection with socio-economic needs and enhance the climate resilience of the Brantas River Watershed.
SOIL AND WATER CONSERVATION TECHNIQUES: EXPLORING SUSTAINABLE PRACTICES FOR ECOSYSTEM RESTORATION AND RESOURCE MANAGEMENT Dani Lukman Hakim; Shari Lee; Kamil Farado
Techno Agriculturae Studium of Research Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v3i1.3314

Abstract

Environmental degradation and resource scarcity necessitate an urgent transition toward integrated landscape management. This research addresses the critical challenges of soil erosion and water depletion by evaluating the effectiveness of integrated Soil and Water Conservation (SWC) techniques. The study aims to identify synergistic practices that optimize ecosystem restoration and ensure long-term resource sustainability. Utilizing a longitudinal experimental design over twenty-four months, researchers compared mechanical interventions, such as bench terracing, with biological strategies, including cover cropping and bio-swales, across forty-five stratified sample plots. Results demonstrate that integrated approaches outperform isolated methods, reducing sediment loss by over 80% and increasing water infiltration rates by 270%. Significant gains in soil organic carbon and macrofauna diversity further indicate a rapid recovery of functional ecosystem services. The findings confirm that the interaction between physical stabilization and biological enrichment creates a self-reinforcing cycle of land regeneration. This research concludes that adopting holistic, nature-based infrastructure is essential for climate resilience and global food security. The developed sustainability framework provides a scalable model for policymakers to transition from extractive land use to regenerative management, ensuring the ecological integrity of vital terrestrial resources.
AI-AUGMENTED HEALTH INFORMATION SYSTEM DESIGN FOR SCALABLE MOBILE MENTAL WELLNESS SUPPORT IN INDONESIA Tiawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Nur Dava Kurniawan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6974

Abstract

Indonesia faces a youth mental health crisis, with limited access to professional care. WHO recommends one mental health worker per 30.000 people, but Indonesia only has 1:200.000 for general mental health personnel and 1:223.587 for psychiatrists. This paper addresses the implementation gap through the design and integration of an AI augmented health information system within Teman Curhat, a mobile mental wellness platform. We applied thematic analysis to expert interviews and used K-Means clustering on 16.689+ user reported cases to classify concerns into three severity levels. The system’s novelty lies in embedding on device Gemini AI for offline triage, ethical chatbot support, and adaptive user routing. Key outputs include a validated clustering model (Silhouette Score: 0.61), AI assisted classification logic, integration within Android Studio, and a scalable conversational interface. This innovation supports SDG 3 (Good Health and Well being) and SDG 10 (Reduced Inequalities) by enabling inclusive, responsive, and privacy focused digital mental health services for underserved communities.
MODEL CHATBOT AI AGENT BERBASIS CONVERSATIONAL AGENT UNTUK BISNIS DIGITAL LAPTOPCARE Tiawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Muhammad Fathir Fahlevi; Favian Jarsi Taufiqqurakhman; Hexsel Aldoegasha; Alya Nabilah; Taufiqqurahman Hutri; Nur Davi Kurniawan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6975

Abstract

Perkembangan teknologi Conversational Agent (CA) memungkinkan pengembangan chatbot berbasis kecerdasan buatan untuk mendukung layanan bisnis digital. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan chatbot AI Agent sebagai layanan dukungan pelanggan pada model bisnis perawatan laptop yang dikembangkan oleh mahasiswa. Metode yang digunakan adalah pendekatan Conversational Agent dengan integrasi n8n sebagai platform otomasi alur kerja, Telegram sebagai saluran komunikasi, Google Gemini Chat Model sebagai pemroses bahasa, serta Google Spreadsheet sebagai sumber data terstruktur untuk informasi produk dan layanan. Sistem chatbot dirancang sebagai agen berbasis tugas dengan aturan bisnis yang mengatur jenis pertanyaan dan layanan yang dapat diberikan. Hasil penelitian menunjukkan bahwa chatbot mampu memberikan respons yang akurat, kontekstual, dan konsisten terkait informasi layanan, stok barang, estimasi harga, serta kebutuhan pelanggan secara real-time. Implementasi ini membuktikan bahwa integrasi AI Agent dengan platform otomasi dan data terstruktur dapat meningkatkan efisiensi layanan pelanggan serta mendukung pengembangan model bisnis digital di bidang perawatan laptop.
PERANCANGAN FITUR DARURAT DAN PENGINGAT PADA APLIKASI JAMAAH UMROH XYZ MENGGUNAKAN SCRUMBAN Tiawan; Nusaibah; Rifky Kurniawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Citra Nur Napiah
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.7049

Abstract

The problem of Umrah pilgrims getting lost and losing personal belongings is still common, especially in high-density areas such as the Grand Mosque and the Prophet's Mosque, with more than 50 cases of missing pilgrims per day during the peak Umrah season. A survey of 50 pilgrims showed that 86% of respondents experienced location disorientation and 74% had lost or nearly lost personal belongings. This study aims to design emergency and reminder features in the XYZ Umrah Pilgrim Application to improve security and management of pilgrim activities. The development method used is Scrumban, a combination of the iterative and structured Scrum method with the Kanban method that emphasizes workflow visualization and task management execution. The emergency feature is designed using the Fused Location Provider to send pilgrim location coordinates in real-time with a detection time of less than 30 seconds, while the reminder feature helps manage luggage and prayer schedules through a notification system. Functional and performance testing results show a feature success rate above 90%. The conclusion of this study shows that the integration of emergency and reminder features in one Umrah application with the Scrumban approach is able to improve the security and comfort aspects of the congregation.
Soil and Water Resource Management for Sustainable Agriculture: Exploring Integrated Approaches for Climate-Smart Farming Dani Lukman Hakim; Noorhani Dyani Laksmi; Lovi Sandra
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i1.3276

Abstract

Background. Climate change poses significant challenges to global agriculture, impacting soil and water resources. The increasing variability in rainfall patterns, droughts, and soil degradation necessitates sustainable management practices. Effective management of these resources is critical to ensuring long-term agricultural productivity and food security, especially in the face of climate change. Purpose. This study aims to explore integrated approaches for managing soil and water resources within the context of climate-smart farming. It investigates how adopting these practices can enhance resilience to climate variability, improve soil health, and optimize water use efficiency in agriculture. Method. A mixed-methods approach was employed, combining quantitative soil and water data analysis with qualitative interviews from farmers, agricultural experts, and policymakers. The study was conducted in regions impacted by climate change, with a focus on sustainable agriculture practices like rainwater harvesting, soil conservation, and water-efficient irrigation techniques. Results. Findings indicate that integrated resource management strategies, including conservation tillage, agroforestry, and precision irrigation, significantly improved soil fertility, reduced water use, and enhanced crop yields. The adoption of climate-smart practices also led to increased resilience against extreme weather events. Conclusion. The study concludes that integrated approaches to soil and water resource management are essential for sustainable agriculture in the era of climate change. These practices not only ensure environmental sustainability but also contribute to food security and farmer livelihoods.
Co-Authors Alya Nabilah Amril Mutoi Siregar Citra Nur Napiah Clara Mendes Eliza Ariesta Favian Jarsi Taufiqqurakhman Hexsel Aldoegasha Kamil Farado Lovi Sandra Lucas Lima Luis Santos Maria Clara Reyes Marta Kowalska Merios Gusan Putra Muhammad Fathir Fahlevi Nilam Atsirina Krisnaputri Noorhani Dyani Laksmi Nur Dava Kurniawan Nur Davi Kurniawan Nusaibah Rifky Kurniawan Samsul Arifin Shari Lee Surjandy Taufiqqurahman Hutri Theresa Gibbons Tiawan