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Karakterisasi Sensor LDR dan Aplikasinya pada Alat Ukur Tingkat Kekeruhan Air Berbasis Arduino UNO Bowo Eko Cahyono; Ina Dwi Utami; Novia Puji Lestari; Nur Shabrina Oktaviany
Jurnal Teori dan Aplikasi Fisika Vol. 7 No. 2 (2019): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v7i2.219

Abstract

A system of monitoring turbidity levels in real time using an LDR sensor has been designed and implemented. This study aims to characterize the LDR sensor and subsequently the results are used as a basis in the application of the deterioration system design for water turbidity levels. The characterization results show that the LDR sensor has a linearity of 90.86% and sensitivity of 0.0082 mV per lux. After being applied in measuring instruments the light intensity of the sensor has a precision level of 92.58% and the level of accuracy of the measurement results is an average of 87.89%. Based on the results of the design that has been carried out this instrument is able to turn on the water pump for the purification process automatically when the intensity of back scattering is less than 72 lux
Multi-Criteria Analysis Approach for Potential Flood Areas Mapping in The Bedadung River Watershed, Jember Regency Wafi, Moh. Abduh; Cahyono, Bowo Eko; Octaviani, Linggar Ayu; Triatmojo, Muhammad Ikbal Nur Dian; Suprianto, Agus
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.46612

Abstract

Flood disasters often result in negative impacts, including damage to property, infrastructure, and loss of human lives. Identifying flood-prone areas and implementing appropriate prevention measures can significantly reduce its adverse effects. Mapping  potential flood  plays a key role in land use planning, early warning systems, emergency response, and flood mitigation efforts. In recent years, the Bedadung Watershed has faced issues of fluctuations in water discharge and it has a potential to cause flooding in Jember regency. This study aims to assess the flood vulnerability level in the Bedadung Watershed using parameter’s scoring and weighting methods, followed by an overlay or merging of each parameter. The research findings indicate that parameters influencing flood potential in the Bedadung Watershed are land use and land cover, slope and elevation area, and soil type. The results showed that the areas which are identified as vulnerable and highly vulnerable are mainly located at low elevations (0-500 m) with tend to be safe from occurring flood even though the level of rainfall is high. On the other side, the vegetation cover areas showed the low vulnerable from flood.
NUMERICAL TSUNAMI HAZARD MODELLING AT THE PANCER COAST - PUGER, EAST JAVA, INDONESIA Rozikan, Rozikan; Cahyono, Bowo Eko; Suprianto, Agus; Adhi, Aryono
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 16, No 1 (2026): April ( Article in press )
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v16i1.114864

Abstract

The southern Java subduction zone is one of the major tsunami hazard sources in Indonesia due to its potential to generate large megathrust earthquakes. This study evaluates tsunami hazards from a Mw 8.7 megathrust earthquake scenario using numerical modelling with COMCOT v1.7. A five-layer nested grid system is applied to simulate tsunami generation, propagation, and inundation from the Indian Ocean to the Pancer - Puger coast, Jember Regency, Indonesia. Earthquake source parameters are defined using the Wells and Coppersmith empirical relationships, while initial seafloor deformation is calculated using the Okada elastic dislocation model. Tsunami wave dynamics are analysed using Virtual Tsunami Gauges (VTGs). The results indicate that Puger Kulon and Mojosari villages experience the most severe impacts, with large wave amplitudes, strong currents, and inundation exceeding 20 m depths. Tsunami arrival times is about 21 to 27 minutes, providing a very limited evacuation window. The ETH (Estimated Tsunami Height) and ETA (Estimated Time of Arrival) maps show that low-lying, open coastal plains act as primary pathways for tsunami penetration. These findings emphasize the high vulnerability of the Pancer coast - Puger and the need for risk-based mitigation, improved evacuation planning, and strengthened local early warning systems.Keywords: tsunami; COMCOT; Pancer coast; inundation; arrival time
Assessment of Settlement Area Development in Jember Regency Area Based on Multitemporal LANDSAT 8 OLI-TIRS Data Cahyono, Bowo Eko; Umniyah, Inas Alfiyatul
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 1 (2025): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i1.97656

Abstract

Jember is a regency in the province of East Java-Indonesia, experiencing residential or settlement area growth because of increasing population as the main trigger for land use changing. Monitoring the development of settlement areas is important for regional and urban planning. Remote sensing technology provides fast and efective methods of classifying land use and land cover for regional aea, so monitoring the development of settelemnent area can be identified easily. This study aims to determine the classification of land use and analyse the distribution or evelopment of settlement area in the Jember District based on LANDSAT 8 OLI-TIRS data for the year of 2013, 2015, 2017, 2019 and 2021. The classification was conducted by supervised classification method using a random forest algorithm. The land use is divided into six classes namely vegetation, water body, settlement, bush grass, open land and paddy field. The results showed that settlement area continues to increase every year, meanwhile the area of vegetation, water bodies, bush grass, open land and paddy fields varies every year. The distribution of settlement area in each sub-district showed that the largest area of settlements occur in Ambulu sub-district with 1,447 ha in 2013, 4,064 ha in 2019, and 3,215 ha in 2021. The other years that are 2015 and 2017, Wuluhan sub-district was detected as the largest area of settlement which are 2,950 ha in 2015 and 2,291 ha in 2017. However, this number of settlement area distribution does not really reflect the level of housing density in each sub-district. Thus, the housing density was calcuated by dividing the settlement area to the sub-district area. It found that the highest settlement density in 2021 is located in Kaliwates sub-district with a percentage of 48%, followed by Sumbersari at 44%, Balung at 31%, Ambulu at 30%, and Umbulsari at 29%.
Analysis of Vegetation Index Values and Sugar Content in Sugarcane Based on Planting Age using Sentinel-2 Satellite Data Umniyah, Inas Alfiyatul; Cahyono, Bowo Eko; Suprianto, Agus; Hakim, Farid Lukman
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 2 (2025): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i2.106287

Abstract

This study the relationship between the age of sugarcane plants (Saccharum officinarum L.), vegetation indices, and sugar content using Sentinel-2 satellite imagery in Jember Regency. Vegetation indices such as NDVI, GNDVI, NDRE, and NDII were used to monitor the physiological condition of the plants, while sugar content was measured using a refractometer on the upper, middle, and lower sections of the sugarcane stalks. The results indicate that the highest sugar content was found in the lower stalk section, as this area serves as the primary storage site for sucrose. There is relationship that increasing plant age correlates with changes in vegetation index patterns, peaking during the maximum vegetative phase. These findings offer significant insights into technology-based sugarcane land management, supporting the optimization of harvest timing, irrigation, and fertilization.