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Analisis Kualitatif Peran Kelompok UMKM dalam Meningkatkan Kinerja dan Daya Saing Usaha di Sektor Ekonomi Lokal Jendra Satria Pitoyo; Sudaryatno
Jurnal Pengabdian, Riset, Kreativitas, Inovasi, dan Teknologi Tepat Guna Vol 1 No 1 (2023): Mei
Publisher : Direktorat Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/parikesit.v1i1.7976

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are individual business entities or economic actors engaged in economic activities. The research was conducted in Pedaleman Village, Tanara District, Serang Regency. Geographically, the area is a coastal region and has a leading sector, namely fishpond farming. The purpose of this research is to foster synergy among business actors in Pedaleman Village who have not been well mobilized, thus requiring the formation of MSME groups. The method used in this research is a qualitative method utilizing the Focus Group Discussion (FGD) approach and snowball sampling technique due to the incomplete and hard-to-reach population. The research results indicate the need to continuously develop the performance and competitiveness of businesses in the local sector through the smallest regional scale, namely the village, in the form of specific groups, particularly through the formation of Pedaleman MSME Group. This group will serve as a communication channel between the local government and the village, particularly in the local economic sector. Issues such as capital, marketing strategies, packaging, and information can be resolved through the formation of this group. Through the group, benefits can be achieved, such as establishing communication between village-level MSME groups and the local government, specifically the Department of Cooperatives, Industry, and Trade of Serang Regency. It is hoped that this research can serve as a starting point for development and contribute to the revenue of Serang Regency, as well as a means to enhance the quality of business actors through weekly training and participation in regional-scale activities as the practical application of the knowledge gained from the training.
Karakterisasi Parameter Tsunami Terhadap Kepesisiran Pantai Pulau Ternate Jumaris; Sigit Heru Mukti B.S.; Sudaryatno
Jurnal Penelitian Pendidikan IPA Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10iSpecialIssue.7520

Abstract

Ternate Island is one of the volcanic islands of the Halmahera volcanic, The Island forms an oceanic region consisting mostly of a unique double subduction tectonic deformation structure. Within this zone, the Moluccas Sea plate subducts beneath the Sangihe and Halmahera volcanic arcs. This research aims to characterise tsunami hazard to Ternate Island. The seismicity data used is combination of seismicity data from earthquake catalog by International Seismological, U.S. Geological Survey, and Meteorology, Climatology and Geophysics Agency during period 1900-2020. The main earthquake data was generated Reasenberg declustering, which previously converted earthquake magnitude for uniformity against catalogue with different data scales into moment magnitude. The tsunami source parameters in the North Maluku Sea area which are generated with a maximum magnitude of 8.5 Mw which can occur in this area are empirically capable of causing dislocations or rupture zones that reach up to 45080 km2 and the equivalent energy released in the form of seismic moments is 7.0795E+21 Nm. The maximum tsunami height at Ternate coast could be up to 3.44 meters.
Flood Potential Assessment of the Way Urang Sub-Watershed Based on Peak Discharge Using the Rational Method Zuhrita, Anissa; Wahyu, Hyundra Zakiya Putri; Handayani, Nelly; Milla, Helny Yofin Mega; Safitri, Nabila Zalianti; Murti, Sigit Heru; Sudaryatno
International Journal for Disaster and Development Interface Vol. 5 No. 2 (2025): October 2025
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v5i2.112

Abstract

Peak discharge is a key indicator for assessing flood potential in a river basin. This study estimates peak discharge in the Way Urang sub-watershed, Pesawaran, Lampung, by integrating remote sensing and Geographic Information Systems (GIS) to derive physical parameters that control surface runoff. The Rational Method was applied, combining the runoff coefficient (C), rainfall intensity (I), and drainage area (A). The runoff coefficient was calculated using the Cook Method, which takes into account soil type, slope gradient, vegetation density, and drainage density. Rainfall intensity was derived from daily records using the Mononobe equation, with time of concentration estimated from the Kirpich formula. Data sources include Sentinel-2 imagery, DEMNAS, rainfall records from 2014 to 2023, and field measurements. The results show a peak discharge of 217.19 m³/s for a basin area of 20.20 km², with a coefficient of variation (C) of 69.20% and an intensity (I) of 55.89 mm/h. High runoff reflects the combined effects of low-infiltration soils, steep slopes, and high annual rainfall. Morphometric measurements yielded a total channel cross-sectional area of 27.91 m² and an estimated bankfull discharge of ~9.53 m³/s, indicating that the channel capacity is far below the peak discharge. This imbalance suggests a high flood potential in downstream areas, particularly in Bunut Village. The findings underscore the importance of integrating spatial data, field surveys, and remote sensing to analyze watershed physical characteristics and to support more effective, spatially informed flood planning and mitigation.
MULTITEMPORAL ANALYSIS FOR TROPHIC STATE MAPPING IN BATUR LAKE AT BALI PROVINCE BASED ON HIGH-RESOLUTION PLANETSCOPE IMAGERY Rahma Nafila Fitri Sabrina; Sudaryatno
International Journal of Remote Sensing and Earth Sciences Vol. 17 No. 2 (2020)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3381

Abstract

Remote sensing data for analyzing and evaluating trophic state ecosystem problems seen in Batur Lake isan approach that is suitable for water parameters that cannot be observed terrestrially. As the multitemporal spatial data used in this study were extensive, it was necessary to consider the effectiveness and efficiency of the processing and analysis, therefore R Studio was used as a data processing tool. Theresearch aims to(1) map the trophic state of Batur Lake multitemporally usingPlanetScope Imagery;(2) assess the accuracy of the trophic state model and applyitto anothertemporal data as a SpatialBigData;and (3) understand the trophic state impacton the water quality of Batur Lake based on physical factors andthelake’s chemical concentration (sulfur concentration). Theresearch showsthatthetrophic state of Batur Lake isin good condition,with an ultraoligotrophic state as the majority class,based on the mean Trophic State Index (TSI) value of9.49. The standard errorsof each trophic state parameter were0.010 for total phosphor, 0.609 for chlorophyll-a, and 0.225 for Secchi Disk Transparency (SDT). The multitemporal model demonstratesthat the correlation between the increase oftrophic state and mass fish death cases in Batur Lake is existent.