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Utilization of Tofu Liquid Waste with Ceramic-Based Microbial Fuel Cell (MFC) Technology Wafi, Moh. Abduh; Ahmad, Mutiara Garnet; Misto, Misto; Cahyono, Bowo Eko; Mulyono, Tri; Mutmainnah, Mutmainnah
Jurnal ILMU DASAR Vol 25 No 2 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v25i2.29949

Abstract

The application of ceramic-based Microbial Fuel Cells (MFCs) for the treatment of tofu liquid waste presents a promising and environmentally sustainable approach. The purpose of this study was to determine the effect of adding variations in substrate concentration and to determine the effect of variations in the surface area of the electrode (anode and cathode), resulting in a maximum power density value for a period of 13 days of measurement. The initial step is measuring the voltage and current with the substrate concentration without a dilution process, then the concentration variations are carried out by dilution 10 times, 8 times, 5 times, 4 times, and 2 times on ceramics with a diameter of 8 cm. The second step is measuring the voltage and current by varying the surface area of the electrodes (cathode and anode). The results of the measurements obtained that the maximum power density value obtained was 188.23 mW/m2 without a dilution process, namely with a concentration of 3640 ppm for the third day. Meanwhile, the results of the measurement of the variation of the electrode surface area obtained a maximum power density value of 205.88 mW/m2 on the electrode surface area of 3.57 m2 for the third day. The more surface area of the electrode given at the time of measurement, the more bacteria contact the electrode, causing the resulting power density value to be even greater.
Sifat Histerisis Pada Konstanta Dielektrik dan Indeks Bias Minyak Zaitun Dengan Variasi Suhu Mukarromah, Luluk; Cahyono, Bowo Eko; Misto, M.
BERKALA SAINSTEK Vol 6 No 1 (2018)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v6i1.7770

Abstract

Minyak zaitun adalah minyak nabati yang diperoleh dari tanaman zaitun (olea europaea). Minyak zaitun dapat digunakan untuk memasak, bahan obat-obatan, dan sabun. Setiap bahan termasuk minyak zaitun memiliki sifat-sifat fisika dan besarnya sangat ditentukan oleh kondisi internal bahan tersebut. Penelitian ini dilakukan untuk mengetahui lebar kurva histerisis melalui pengukuran konstanta dielektrik dan indeks bias. Bahan yang diteliti berupa 3 jenis minyak zaitun. Penelitian ini menggunakan metode kapasitansimeter dan difraksi Fraunhofer celah ganda. Diketahui bahwa ketiga jenis minyak zaitun memiliki lebar kurva histerisis yang berbeda pada pengukuran konstanta dielektrik maupun indeks bias dengan variasi suhu. Hubungan antara nilai konstanta dielektrik terhadap suhu menunjukkan peningkatan, sedangkan untuk nilai indeks bias menunjukkan penurunan. Pada pengukuran konstanta dielektrik menunjukkan bahwa minyak zaitun virgin olive oil memiliki lebar kurva histerisis paling besar dibandingkan minyak zaitun extra virgin olive oil dan extra light olive oil. Hal ini menunjukkan bahwa minyak zaitun virgin olive oil memiliki kemampuan paling besar untuk menyimpan enegi termal. Sedangkan pada pengukuran indeks bias menunjukkan bahwa minyak zaitun extra virgin olive oil memiliki lebar kurva histerisis paling besar dibandingkan minyak zaitun extra light olive oil dan virgin olive oil,. Hal ini juga menunjukkan bahwa minyak zaitun extra virgin olive oil memiliki kemampuan paling besar untuk menyimpan enegi termal. Kata Kunci: Minyak zaitun, konstanta dielektrik, indeks bias, metode kapasitansimeter, metode difraksi Fraunhofer, kurva histerisis
The Pattern of Microwave Scattering by the Dielectric of Milks Nugroho, Agung Tjahjo; Sa’adah, Nurul; Cahyono, Bowo Eko
BERKALA SAINSTEK Vol 10 No 1 (2022)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v10i1.30155

Abstract

A microwave electric field scattering by a dielectric object had been developed to identify the type of a milk. A simple geometric tomographic system is applied. The milk is placed in a cylindrical tube and emitted with a microwave signal which is described in term of a harmonic function. The scattering field anywhere outside the cylinder is quantifed analitycaly in which the unknown coefecients of the analytic function are determined at the surface of the cylinder. Three different type of milks, whole milk, UHT, and skim milk are studied. The incident fields are scanned from 1 GHz to 20 GHz and the scattering fields due to the illumination are quantified in three different locations around the objects. The study shows that the scattering field pattern depent on the the type of the milk. The whole milk produces the lowes and highest magnitude of the scattering field at 2.4 GHz and 4.5 GHz respectively. These frequency points are higher that that produce by the UHT and skim milk.
Mapping of Soil Quality Index (SQI) for Paddy Fields Using Sentinel-2 Imagery, Laboratory Analysis, and Principal Component Analysis Putri Tunjung Sari; Indarto Indarto; Marga Mandala; Bowo Eko Cahyono
Geosfera Indonesia Vol. 6 No. 2 (2021): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v6i2.24506

Abstract

The use of intensive chemical inputs causes lower availability of nutrients, organic matter, cation exchange capacity, and soil degradation.Therefore, this study aims to assess the soil quality index (SQI) for paddy fields in Jember, East Java, Indonesia. Input data for this study consist of land cover (interpreted from the Sentinel-2 image), soil type, and slope maps. Furthermore, the procedure to calculate soil quality index (SQI) include (1) spatial analysis to create the land unit, (2) preparation of soil sampling, (3) soil chemical analysis, (4) principal component analysis (PCA), and (5) reclassifying soil quality index (SQI). The PCA results showed that three variables i.e., % sand, total- P, and % silt were strongly correlated to SQI, while three classes namely very low, low, and medium of SQI were sufficiently used to describe the spatial variability of the paddy field. Furthermore, approximately 41.14% of the paddy field area were classed as very low while 52.23%, and 6.63% were categorized as low and medium SQI respectively. Based on the results, about 93.37% of paddy fields in Jember Regency still require improvement in soil quality via the addition of ameliorants such as organic fertilizers to increase quality and productivity. This application needs to focus on areas with very low-low quality hence, the quality increased to the medium category. Keywords : Mapping; Soil Quality Index (SQI); PCA; Paddy field Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Crops Classification in Fragmented Agricultural Land Using Integrated Radar and Optical Remote Sensing Satellite Data Darmawan, Sukma Adi; Cahyono, Bowo Eko; Suprianto, Agus; Umniyah, Inas Alfiyatul
Jurnal ILMU DASAR Vol. 26 No. 2 (2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v26i2.53691

Abstract

This study aims to classify crops on fragmented agricultural land by integrating radar (Sentinel-1) and optical (Sentinel-2) satellite remote sensing data. The research responds to the pressing issue of decreasing agricultural land in Jember Regency due to land conversion, which threatens food security. Feature-level fusion is applied to combine spectral indices (NDVI, NDWI, NDBI) from Sentinel-2 and radar backscatter characteristics (VV, VH) from Sentinel-1. Classification was performed using the Random Forest algorithm in the Google Earth Engine (GEE) platform. The results showed that the combination of both datasets provided high overall accuracy (81.58%) in classifying eight land cover types including agricultural crops such as paddy, corn, sugarcane, and citrus. This integration enables better monitoring of complex agricultural landscapes, offering a practical tool for sustainable land management.
Texture Features of Aglaonema Leaves with Local Binary Pattern Code Nugroho, Agung Tjahjo; Nursulistyono, Yuda; Cahyono, Bowo Eko; Subekti, Agus
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.4180

Abstract

The Aglaonema type and quality is difficult to identify due to leaf pattern variety. For this reason, a technique is developed to classify Aglaonema types from leaf images. The Aglaonema is identified using the Local Binary Pattern (LBP) technique. The LBP recognizes objects in the form of pixel neighbor patterns in binary code, which is sensitive to the radius (R) and the number of neighbors (P) pixels. In this article we will study the appropriate radius and number of neighbors so that the LBP code becomes an accurate abject texture attribute. Experimentally, R is varied from 1 to 5 while P is varied from 4 to 24 pixels. Two types of Aglaonema with two varieties taken from each type were used to test the accuracy of the LBP code. The accuracy of the classification results is carried out with the help of K-Nearest Neighbors (KNN). The results show that the greater the number of neighbors in determining the LBP code, the more accurate the classification results. Neighbors with a total of 18 have a stable accuracy reaching a total of 79%. Increasing the number of neighbors does not significantly affect accuracy. The neighbor radius affects the batik type of Aglaonema, the wider the neighbor area, the accuracy increases up to 84%, but for the Lipstick type, the best accuracy is obtained when R=3. By choosing the right R and P, the types of Aglaonema batik and Lipstick can be differentiated well.
Solusi Numerik Hamburan Gelombang Mikro TMz oleh Silinder Dielektrik dengan Method of Moment serta Volume EFIE dan Pulses Basis Function Fauziah, Helmi; Nugroho, Agung Tjahjo; Cahyono, Bowo Eko
Jurnal Fisika Unand Vol 11 No 1 (2022)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.11.1.15-21.2022

Abstract

Solusi numerik hamburan gelombang mikro TMz oleh silinder dielektrik dapat dicari dengan menggunakan metode MoM (Method of Moment), dimana silinder akan dibagi menjadi beberapa sel. Persamaan medan datang dapat dicari dengan Volume EFIE dan rapat arus permukaan dapat dicari dengan pulses basis function. Sehingga akan mendapatkan magnitude medan total, fase dan error relatifnya. Hasil dari solusi numerik adalah solusi numerik akurat apabila jumlah sel yang digunakan semakin banyak. Pengaruh frekuensi dan jari – jari silinder terhadap magnitude adalah membuat grafik magnitude memiliki banyak bukit, serta pengaruh frekuensi dan jari – jari silinder terhadap fase adalah membuat grafik fase semakin merapat.
THE RELATIONSHIP BETWEEN LAND USE AND LAND COVER TO RUN-OFF COEFFICIENT VALUE IN BRANTAS WATERSHED AREA, TULUNGAGUNG - EAST JAVA, INDONESIA Bowo Eko Cahyono; Asih Sumarlin; Nurul Priyantari; Katsunoshin Nishi
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 2 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3851

Abstract

The Ngrowo-Ngasinan sub-watershed is a part of Brantas Watershed which has an important role for the aquatic ecosystems in the Brantas watershed. Land cover changes in this sub-watershed can be identified by utilizing remote sensing technology. The use of remote sensing technology by applying Landsat 8 image data can be done by classifying several classes of land cover in the study area. Land cover affected the flow rate of a watershed because of its association with several problems due to the conversion of land. Land cover which influences the watershed ecosystems is forest. In addition to land cover, regional rainfall also affects the flow rate (runoff) in the area
Identifikasi Data Remote Sensing NDVI, LST DAN LULC Pada Manifestasi Panas Bumi Di Kabupaten Bondowoso Linggar Ayu Octaviani; Bowo Eko Cahyono; Agus Suprianto
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.9620

Abstract

The increasing energy demand in Indonesia encourages the exploration of alternative energy sources, including geothermal energy. Bondowoso Regency, particularly the Blawan area, holds significant geothermal potential that remains underutilized. This study analyzes the relationship between Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), and Land Use Land Cover (LULC) using Landsat 8 imagery processed through Google Earth Engine. Spatial data of LST, NDVI, and LULC were extracted, visualized, and interpreted to identify geothermal manifestation areas. The results show that geothermal manifestations are indicated by high LST values (above 35°C), low NDVI values (sparse vegetation), and specific land use patterns, especially in the northeastern part of Bondowoso. The integration of LST, NDVI, and LULC enables more accurate identification of geothermal potential. The study concludes that remote sensing-based analysis is effective for detecting geothermal manifestations and supports more optimal geothermal resource mapping, exploration, and management, contributing to the sustainable development of renewable energy in the region.
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, Indonesia

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.