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Implementasi aplikasi pelita kalbar dalam pelayanan kepada masyarakat di Provinsi Kalimantan Barat Lalu Ahmad Murdhani; Restu Ragyl Hariyanto; Hendi Margio; Hisyam Aslamsyah
Histeria Jurnal: Ilmiah Soshum dan Humaniora Vol. 1 No. 2 (2022): Histeria: Jurnal Ilmiah Sosial dan Humaniora
Publisher : ARKA INSTITUTE

Jurnal ini bertujuan untuk mengetahui apa saja kendala atau hambatan yang terjadi dalam implementasi aplikasi PELITA KALBAR dalam pelayanan kepada masyarakat Provinsi Kalimantan Barat. Metode penelitian yang dilakukan melalui metode deskriptif dengan pendekatan kualitatif. Informan penelitian hanya satu orang yaitu Kepala Seksi Sarana dan Prasarana Lalu Lintas Jalan. Teknik pengumpulan data yang digunakan adalah wawancara dan studi dokumentasi. Hasil penelitian menunjukan bahwa implementasi aplikasi PELITA KALBAR dalam pelayanan kepada masyarakat Provinsi Kalimantan Barat pada pelaksanaanya sudah cukup optimal. Tetapi terdapat beberapa kendala atau hambatan dalam pelaksanaan yaitu seperti terbatasnya sumber daya manusia untuk mengoperasikan aplikasi PELITA KALBAR, kurangnya hubungan mitra antar dinas yang terkait, serta masih ada masyarakat yang belum sadar akan adanya aplikasi PELITA KALBAR. Hal ini dapat menganggu dan memperlambat kinerja pemerintah untuk memecahkan masalah yang terjadi.

Diversifikasi Pengolahan Talas Beneng (Birak) untuk Mendukung Kebijakan Ketahanan Pangan di Kabupaten Lombok Tengah Lalu Ahmad Murdhani; Mujahidin Mujahidin; Erfan Wahyudi; Marzuki Marzuki
Society Vol 13 No 1 (2025): Society
Publisher : Laboratorium Rekayasa Sosial, Jurusan Sosiologi, FISIP Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/society.v13i1.769

Food security remains a persistent challenge in Central Lombok Regency due to climate vulnerability, land-use change, and overreliance on rice as the dominant staple crop. This study investigates the overlooked potential of Beneng taro (Xanthosoma undipes), locally known as birak, as a climate-resilient and nutritionally valuable alternative. Using a qualitative approach, the research draws on field observations, interviews with farmers and local officials, and a review of empirical and policy literature to examine the crop’s role in local food systems. Findings reveal that Beneng taro is ecologically suited to marginal lands, yet its cultivation and utilization remain marginalized in formal development agendas. The plant’s nutritional benefits, particularly its high fiber content and low glycemic index, are undermined by fragmented knowledge on detoxification techniques, mostly transmitted orally and lacking standardization. Product diversification efforts are emerging but remain isolated, constrained by limited access to technical training, micro-enterprise licenses, and market linkages. Symbolic perceptions of Beneng taro as a wild or inferior crop further inhibit its economic potential and inclusion in mainstream food discourse. The absence of institutional support, including in the Regional Medium-Term Development Plan (RPJMD) and agricultural extension services, exacerbates these challenges. Nonetheless, the plant offers significant prospects for value-added innovations such as gluten-free flour, herbal tobacco alternatives, and biodegradable textile inputs. The study concludes that unlocking the potential of Beneng taro requires coordinated interventions in policy integration, food safety education, capacity building, and branding strategies to reposition the crop as a viable contributor to sustainable food systems and rural livelihoods in Central Lombok.

Does Disaster Knowledge Matter? Examining Community-Based Flood Mitigation in a Developing Country Context Lalu Ahmad Murdhani; Mei Susanti
International Journal of Scientific Research Vol. 2 No. 02 (2025): July 2025
Publisher : Yayasan Hisnul Muslim Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62894/qfjk6d58

Floods remain one of the most recurrent and damaging hazards in developing countries, where structural limitations and governance challenges often constrain disaster risk reduction efforts. While disaster knowledge is frequently promoted as a key component of community-based disaster risk reduction, empirical evidence on how different forms of knowledge influence flood mitigation practices remains limited. This study examines the role of disaster knowledge in shaping community-based flood mitigation in a developing country context. Using a descriptive qualitative approach, data were collected through semi-structured interviews and non-participant observations in a flood-prone community in Indonesia. The analysis was guided by the Revised Bloom’s Taxonomy, which conceptualizes disaster knowledge into factual, conceptual, procedural, and metacognitive dimensions. Thematic analysis was employed to identify patterns linking knowledge dimensions to mitigation practices. The findings reveal that disaster knowledge matters, but its influence varies across cognitive dimensions. Factual knowledge primarily increases awareness but has limited impact on sustained mitigation actions. Conceptual knowledge enhances collective understanding of flood risk and encourages community engagement, while procedural knowledge directly enables practical mitigation measures. Metacognitive knowledge, although less prevalent, supports adaptive learning and reflective decision-making. However, the translation of knowledge into mitigation practices is constrained by economic and governance-related factors. This study contributes to disaster risk reduction literature by applying a multidimensional cognitive framework to flood mitigation and highlights the need for capacity-building strategies that move beyond awareness toward actionable and reflective knowledge.

Analisis Resiko Bencana Kekeringan di Lombok Tengah Sebagai Upaya Mitigasi Bencana Lalu Ahmad Murdhani; Mujahidin Mujahidin; Fanila Kasmita; Marzuki Marzuki
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 1 No. 1 (2024): Maret 2024
Publisher : IPDN Kampus NTB

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This research focuses on analyzing the risk of drought disasters in Central Lombok Regency for disaster management and mitigation purposes that can be implemented in the future. This disaster risk analysis has been prepared using a methodology adapted to the Regulation of the Head of the National Disaster Management Agency Number 02 of 2012 concerning General Guidelines for Disaster Risk Analysis, as well as referring to other guidelines applicable at national level ministries/institutions. From the results of the drought disaster risk analysis that has been carried out, it can be concluded that most of the Central Lombok district is in the Red Zone against the threat of drought, especially in the eastern, central, city, western and southern regions, only a few areas in the northern part of Central Lombok which is in the Green Zone. The results of this research show that the highest risk of drought disaster is in Pujut District which has the largest land area in the red zone, namely 18,832 Ha of land or the equivalent of 81.88% of its entire area. This makes Pujut sub-district the area that experiences the most drought disasters.

Model Collaborative Governance Sistem Peringatan Dini Berbasis Komunitas di Lombok Timur Lalu Ahmad Murdhani
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 2 No. 1 (2025): Maret 2025
Publisher : IPDN Kampus NTB

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This study aims to formulate a collaborative governance model for strengthening community-based early warning systems in East Lombok Regency. This research employed a qualitative approach using a case study method. Data were collected through in-depth interviews, field observation, focus group discussions, and document analysis involving actors engaged in disaster risk reduction, including local government, the Regional Disaster Management Agency, village governments, local communities, volunteers, academics, private sector actors, civil society organizations, and local media. The data were analyzed thematically through data reduction, theme categorization, data presentation, interpretation, and conclusion drawing. The findings reveal that the community-based early warning system in East Lombok still faces governance fragmentation, particularly in inter-actor coordination, role distribution, risk information integration, and the sustainability of warning communication. The study also finds that community social capacity, including trust in local actors, disaster knowledge, volunteer networks, community leadership, and the ability to undertake early action, serves as a crucial foundation for the effectiveness of early warning systems. The main contribution of this study is the formulation of a collaborative governance model consisting of five components: a multi-actor collaboration forum, clear role distribution, risk information integration, strengthening of community social capacity, and continuous evaluation. This model positions the early warning system as a socio-technical ecosystem that connects institutional capacity, warning technology, and community preparedness.

Anticipatory Governance dalam Manajemen Kebencanaan: Transformasi Pemerintah Daerah Kabupaten Lombok Tengah dari Respons Darurat Menuju Tindakan Pra-Bencana Mujahidin; Lalu Ahmad Murdhani
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 2 No. 1 (2025): Maret 2025
Publisher : IPDN Kampus NTB

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This study aims to analyze the transformation of disaster management in the Local Government of Central Lombok Regency from emergency response toward pre-disaster action through an anticipatory governance approach. This research employed a qualitative approach using a case study method. Data were collected through in-depth interviews, field observation, focus group discussions, and document analysis involving actors engaged in disaster management, including local government, the Regional Disaster Management Agency, related local agencies, village governments, local communities, volunteers, academics, private sector actors, and civil society organizations. The data were analyzed thematically through data reduction, theme categorization, data presentation, interpretation, and conclusion drawing. The findings reveal that disaster management in Central Lombok remains largely oriented toward emergency response, particularly in resource mobilization, coordination, and decision-making after disasters occur. Anticipatory capacity has begun to emerge through risk documents, early warning systems, and preparedness programs, but it has not been fully integrated into development planning, budgeting, and cross-sectoral coordination. The main contribution of this study is the formulation of an anticipatory governance model consisting of six components: risk and vulnerability mapping, impact-based prediction and early warning systems, pre-disaster action triggers, cross-sectoral coordination, pre-disaster financing and resource activation, and institutional evaluation and learning. This model emphasizes the need for local governments to shift from waiting for disaster impacts to reading risks and acting before disasters occur.

Integrasi Artificial Intelligence dalam Manajemen Risiko Bencana Pemerintah Daerah: Peluang, Tantangan, dan Model Tata Kelola Adaptif Erfan Wahyudi; Lalu Ahmad Murdhani
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 2 No. 2 (2025): September 2025
Publisher : IPDN Kampus NTB

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This study aims to analyze the opportunities and challenges of integrating artificial intelligence into local government disaster risk management and to formulate an adaptive governance model that is accountable and ethical. This research employed a qualitative approach using a conceptual-analytical case study method. Data were collected through in-depth interviews, limited discussions, and document analysis of regulations, digital transformation policies, disaster management documents, and relevant academic publications. The data were analyzed thematically through data reduction, theme categorization, data presentation, interpretation, and model formulation. The findings reveal that AI offers strategic opportunities to support risk mapping, disaster prediction, early warning systems, vulnerability analysis, intervention prioritization, and rapid evidence-based decision-making. However, AI integration also faces serious challenges, particularly data fragmentation, data quality, algorithmic bias, black-box models, personal data protection, cross-agency coordination, and limited bureaucratic capacity. The main contribution of this study is the formulation of an adaptive AI governance model consisting of six components: integrated data governance, AI as a decision-support system, algorithmic accountability, cross-sectoral coordination, ethical and data protection safeguards, and continuous adaptive evaluation. This model positions AI as an instrument of public management to strengthen disaster risk reduction in a rapid, accountable, and ethical manner while remaining under meaningful human control.

Responsible GeoAI untuk Pemetaan Risiko Bencana: Kerangka Tata Kelola Etis dalam Pengambilan Keputusan Pemerintah Daerah Lalu Ahmad Murdhani
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 2 No. 2 (2025): September 2025
Publisher : IPDN Kampus NTB

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This study aims to analyze the opportunities and risks of using geospatial artificial intelligence, or GeoAI, in disaster risk mapping and to formulate an ethical responsible GeoAI governance framework for local government decision-making. This research employed a qualitative approach using a conceptual-analytical case study method. Data were collected through in-depth interviews, limited discussions, and document analysis of regulations, disaster management documents, risk maps, geospatial data policies, and relevant academic publications. The data were analyzed thematically through data reduction, theme categorization, data presentation, interpretation, and framework formulation. The findings show that GeoAI offers strategic opportunities to strengthen disaster risk mapping through the integration of spatial data, satellite imagery, remote sensing, demographic data, socio-economic data, infrastructure data, and environmental data. GeoAI can support the identification of hazard-prone areas, vulnerable groups, mitigation priorities, evacuation routes, risk-based budgeting, and pre-disaster action. However, the use of GeoAI also presents ethical risks, including spatial bias, unequal territorial representation, location privacy violations, algorithmic opacity, and limited community participation in validating risk maps. The main contribution of this study is the formulation of an ethical responsible GeoAI governance framework consisting of seven components: geospatial data governance, model transparency, algorithmic accountability, field validation and public participation, location privacy protection, spatial justice, and continuous adaptive evaluation. This framework positions GeoAI as a spatial decision-support system that is rapid, ethical, inclusive, and remains under meaningful human control.

Resiliensi Kelembagaan BPBD Lombok Tengah dalam Menghadapi Bencana Hidrometeorologi: Studi tentang Kapasitas Adaptif, Koordinasi, dan Inovasi Pelayanan Publik Lalu Ahmad Murdhani
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 3 No. 1 (2026): Maret 2026
Publisher : IPDN Kampus NTB

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Penelitian ini bertujuan menganalisis resiliensi kelembagaan BPBD Lombok Tengah dalam menghadapi bencana hidrometeorologi, dengan fokus pada kapasitas adaptif, koordinasi lintas sektor, dan inovasi pelayanan publik kebencanaan. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus. Data diperoleh melalui wawancara mendalam, observasi lapangan, diskusi kelompok terarah, dan studi dokumen terhadap dokumen risiko bencana, laporan kejadian, kebijakan daerah, serta publikasi lokal yang relevan. Analisis data dilakukan secara tematik melalui reduksi data, kategorisasi tema, penyajian data, interpretasi, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa BPBD Lombok Tengah telah memiliki dasar kelembagaan dalam penanggulangan bencana, seperti struktur organisasi, pengalaman respons, dokumen risiko, jaringan relawan, dan koordinasi dengan pemerintah desa. Akan tetapi, resiliensi kelembagaan masih perlu diperkuat dalam pemanfaatan data risiko, pembelajaran organisasi, koordinasi pra-bencana, dan inovasi layanan berbasis kebutuhan masyarakat. Penelitian ini menemukan bahwa BPBD perlu dipahami bukan hanya sebagai aktor teknis tanggap darurat, tetapi sebagai organisasi publik yang harus adaptif, koordinatif, dan inovatif dalam menghadapi risiko hidrometeorologi. Kontribusi utama penelitian ini adalah perumusan kerangka resiliensi kelembagaan BPBD melalui tiga dimensi, yaitu kapasitas adaptif, koordinasi lintas sektor, dan inovasi pelayanan publik. Kerangka ini dapat menjadi dasar penguatan BPBD agar mampu bekerja lebih responsif, antisipatif, inklusif, dan berkelanjutan dalam pengurangan risiko bencana daerah.

Manajemen Data Kebencanaan Terpadu dalam Pemerintahan Daerah: Model Interoperabilitas antara BPBD, BMKG, Dinas Sosial, dan Pemerintah Desa Mujahidin; Lalu Ahmad Murdhani
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 3 No. 1 (2026): Maret 2026
Publisher : IPDN Kampus NTB

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- Penelitian ini bertujuan menganalisis fragmentasi data kebencanaan dalam pemerintahan daerah serta merumuskan model interoperabilitas data antara BPBD, BMKG, Dinas Sosial, dan pemerintah desa. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus konseptual-analitis. Data diperoleh melalui wawancara mendalam, diskusi terbatas, dan studi dokumen terhadap regulasi Satu Data Indonesia, SPBE, dokumen kebencanaan, data perlindungan sosial, data desa, serta publikasi lokal yang relevan. Analisis data dilakukan secara tematik melalui reduksi data, kategorisasi tema, penyajian data, interpretasi, dan perumusan model. Hasil penelitian menunjukkan bahwa data kebencanaan di pemerintah daerah masih terfragmentasi pada berbagai instansi dengan standar, format, mekanisme pembaruan, dan kewenangan akses yang berbeda. Kondisi ini menghambat kecepatan peringatan dini, verifikasi warga terdampak, distribusi bantuan, dan perlindungan kelompok rentan. Penelitian ini menemukan bahwa interoperabilitas data diperlukan untuk menghubungkan data prediksi BMKG, data kejadian dan logistik BPBD, data kerentanan Dinas Sosial, serta data mikro pemerintah desa. Kontribusi utama penelitian ini adalah perumusan model interoperabilitas data kebencanaan yang terdiri atas enam komponen: simpul data kelembagaan, standar data kebencanaan, mekanisme berbagi pakai data, validasi desa, perlindungan data kelompok rentan, dan penggunaan data dalam siklus keputusan kebencanaan. Model ini menempatkan tata kelola data sebagai instrumen utama dalam manajemen kebencanaan modern yang cepat, akurat, akuntabel, dan berbasis kebutuhan masyarakat.

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