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GREENESS ANALYSIS OF FOREST IN MINING AREA OF SAWAHLUNTO USING NDVI METHOD BASED ON LANDSAT IMAGERIES IN 2006-2016 Bowo Eko Cahyono; Yazella Feni Frahma; Agung Tjahjo Nugroho
Spektra: Jurnal Fisika dan Aplikasinya Vol 3 No 1 (2018): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 3 Issue 1, April 2018
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.031.06

Abstract

Abstrak Pembukaan lahan hutan yang dijadikan lokasi pertambangan merupakan salah satu kegiatan yang dapat merubah jenis tutupan lahan atau sering disebut dengan konversi lahan. Salah satu daerah yang telah mengalami konversi lahan tersebut adalah Sawahlunto. Konversi lahan yang tidak menggunakan prinsip kelestarian lingkungan dapat mengakibatkan banyak hal negatif misalnya degradasi atau penurunan kualitas hutan. Tujuan dari penelitian ini adalah melakukan analisis tingkat degradasi hutan daerah pertambangan Sawahlunto tahun 2006 sampai 2016. Penelitian ini menggunakan teknologi penginderaan jauh berbasis citra satelit landsat. Citra satelit landsat ini diklasifikasikan dengan metode Normalized Difference Vegetation Index (NDVI) berdasarkan kerapatan vegetasi. Kemudian hasil klasifikasi ini dibuat dalam bentuk pemetaan. Klasifikasi pertama dikategorikan menjadi dua yakni hutan dan non hutan. Hasil yang didapatkan dari penelitian ini menunjukkan bahwa terjadi perubahan tutupan lahan yang semula hutan menjadi non hutan meningkat sebesar 7,5% selama kurun waktu sepuluh tahun. Klasifikasi selanjutnya yakni berdasarkan enam kategori yakni vegetasi sangat rapat, rapat, cukup rapat, non vegetasi 1, 2 dan 3. Dari klasifikasi ini, juga terlihat perubahan nilai NDVI maksimum maupun minimumnya. Tahun 2006 memiliki kisaran nilai NDVI maksimum 0,71 dan tahun 2016 memiliki kisaran nilai NDVI maksimum 0,56. Hal ini mengidentifikasi bahwa tingkat kehijauan yang ada di daerah pertambangan Sawahlunto menurun. Kata Kunci : degradasi, hutan, landsat, ndvi, klasifikasi, Sawahlunto. Abstract The clearing of forest land that is used as a mining site is one of the activities that can change the type of land cover or often called land conversion. One of the forest areas that convert the land is Sawahlunto. Conversion of land that does not use the principles of environmental sustainability can lead to many negative things one of which is the degradation. The purpose of this research is to analyze the level of forest degradation of Sawahlunto mining area in 2006 until 2016. This research uses a remote sen sing technology based on landsat satellite imagery. This landsat satellite image is classified by Normalized Difference Vegetation Index (NDVI) method based on vegetation density. Then the results of this classification is made in the form of mapping. The first classification is categorized into two namely forest and non forest. The results obtained from this study indicate that a change in land cover from forest to non-forest increased by 7.5% over a period of ten years. The next classification is based on six categories namely very dense vegetation, dense vegetation, fairly dense, non vegetation 1, 2 and 3. From this classification, also seen the change in NDVI maximum and minimum value. The year 2006 has a maximum NDVI value range of 0.71 and 2016 has a maximum NDVI value range of 0.56. This identifies that the existing greenness in the mining area of Sawahlunto is decreasing. Keyword : degradation, forest, landsat, ndvi, classification, Sawahlunto.
ANALYSIS THE EFFECT OF PRIMARY COIL LENGTH OF TRANSFORMATOR TO THE RESULTED ELECTROMOTIF FORCE Bowo Eko Cahyono; Muhammad Syukron Ali; Supriyadi Supriyadi
Spektra: Jurnal Fisika dan Aplikasinya Vol 4 No 1 (2019): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 4 Issue 1, April 2019
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.598 KB) | DOI: 10.21009/SPEKTRA.041.04

Abstract

Transformator is an electrical device that uses a principle of solenoid wrapped in kern, and there are usually two or more coils. Each coil of the taranformator is electromagnetically connected. The transformator is made to fulfill the specific level of voltage required in the devices or systems that use alternating current electrical energy. For example, transformator tap change is design to have different number of primary turns to produce a fixed output voltage, in term there is a changing in the input voltage. This research tries to analyze the effect of the length of primary coil difference of transformator to the voltage resulted in the secondary coil. The objective of the study is producing a relationship of primary coil length variation to the resulting voltage. Variation of coil length is made from 1 cm to 15 cm with interval of 1 cm coil length. The length of the secondary coil is also varied imto 3 cm, 6 cm, and 9 cm. The test is performed by providing the same input voltage at each variation of the primary coil length and then measure the output voltage. The results show that the longer primary coil will produce the smaller output voltage in the secondary coil of tranformator. Based on the resulted graph, the relationship of the length variant of primary coil is linear to the voltage measured in the secondary coil.with determination coefficient (R2) of 0.9603, 0.9775, and 0.9822 respectively forlength of 3 cm, 6 cm, and 9 cm of the secondary coil.
UTILIZATION OF TOFU LIQUID WASTE WITH CERAMIC-BASED MICROBIAL FUEL CELL (MFC) TECHNOLOGY Tri Mulyono; Siswanto Siswanto; Misto Misto; Mutiara Garnet R.A; Bowo Eko Cahyono
UNEJ e-Proceeding 2022: E-Prosiding Kolokium Hasil Penelitian dan Pengabdian kepada Masyarakat
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study was to determine the effect of adding variations in substrate concentration and the effect of variations in the surface area of the electrodes (anode and cathode) on the power density, resulting in a maximum power density value for a period of 13 days. measurement. The first step is measuring voltage and current with substrate concentration without dilution process, then variation of concentration is carried out with 10 times, 8 times, 5 times, 4 times, and 2 times dilutions on ceramics with a diameter of 8 cm. . The second step is to measure the voltage and current by varying the surface area of the electrodes (cathode and anode). The measurement results showed 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 3rd day. While 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 that are in contact with the electrode, causing the value of the resulting power density to be greater.Keywords: waste tofu, microbial fuel cell (MFC), power density, electrode, ceramic
Klasifikasi Down Syndrome Menggunakan Tekstur LBP dengan Tiga Variasi Distance Classifiers Agung Tjahjo Nugroho; Yustisi Wulandari; Bowo Eko Cahyono
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 1 (2022)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i1.13532

Abstract

Down syndrome is the most easily identified and most common genetic disorder. Down syndrome variation of trisomy 21 has characteristics that are common to people with Down syndrome. But, children with this Down syndrome variation have slight differences in the mouth and appearance because they tend to have similar oral features with their parents and siblings so that distinguishing them is quite complex. Therefore, it is important to know in more details the special characteristics of children with Down syndrome. This study aims to create an innovative image processing-based system so that it is more practical to classify people with down syndrome and normal people. The method that can be used is the Local Binary Pattern (LBP) method. This study used 2400 mouth frames of children with Down syndrome and normal children for data training. Then, it also uses 3600 mouth frames for children with Down syndrome and normal children for testing data. The results obtained are the threshold value which gives a good classification of 0.1-0.2 for the three variations of the distance calculation method. The Euclidean and Chebychev methods have an accuracy quality of 100% while the City block method at the threshold of 0.1-0.2 has an accuracy of 91.6. So, it can be said that the most accurate method in this research is the Chebychev, Euclidean, then City Block method.
Analysis of Caffeine Content in Roasting Temperature Variation of Robusta Luwak Coffee from Garahan Jember Plantation using UV-Vis Spectrophotometry Method Bowo Eko Cahyono; Winda Arif Febrayanti; Misto Misto
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 19, No 3 (2022): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (995.716 KB) | DOI: 10.20527/flux.v19i3.13593

Abstract

ABSTRACT- The increasing demand for high-quality coffee has led to making various tests to guarantee the quality of coffee to be accepted in the market. This study aimed to know the caffeine content in Robusta Luwak coffee roasted at different temperatures. The coffee used in this study is pure and mixed with rice. This study was conducted using various roasting temperatures, namely 190⁰C and 240⁰C. The additional material combined with the coffee is rice with mass fractions of 10%, 20%, 30%, 40%, and 50%. The absorbance value of caffeine in the sample is measured in the wavelength of the maximum absorbance of pure caffeine solution, 273 nm. The results showed that pure Robusta Luwak coffee with roasting temperatures of 190⁰C and 240⁰C had caffeine content of 1.10% and 0.94%, respectively. In mixed Robusta Luwak coffee, the highest caffeine content was at 190⁰C with a caffeine content of 0.89% in the composite material mass fraction of 10%, and the lowest caffeine content was at 240˚C with a mass fraction of 50% mixed material that had a caffeine content of 0.31%. In the serving dose, those two samples showed that the caffeine content was laid in the safe interval according to SNI and FDA standards.KEYWORDS: caffeine; robusta Luwak coffee; temperature; wavelength.
Analisis Usia Tebu Terhadap Pola Nilai GNDVI (Green Normalized Difference Vegetation Index) Berdasarkan Data Citra Landsat-8 Bowo Eko Cahyono; Agung Tjahjo Nugroho; Niken Dwi Wulandari
Teknotan: Jurnal Industri Teknologi Pertanian Vol 16, No 3 (2022): TEKNOTAN, Desember 2022
Publisher : Fakultas Teknologi Industri Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jt.vol16n3.2

Abstract

Tebu adalah salah satu tanaman yang dapat memproduksi gula serta bioenergi bagi lingkungan yang masa tanamnya selama ±12 bulan. Kondisi pertumbuhan tanaman tebu berdasarkan usia tanamnya dapat dipantau dengan menggunakan teknologi penginderaan jauh. Penelitian ini bertujuan untuk mengetahui pola reflektansi spektra yang dinyatakan melalui indeks vegetasi GNDVI. Penelitian ini menghubungkan nilai GNDVI terhadap usia tanaman tebu dengan menggunakan data citra Landsat 8 tahun 2019-2020 di Kabupaten Jember yang terbagi menjadi 11 lokasi lahan. Tahap awal yang dilakukan yaitu mengumpulkan data citra lalu dikoreksi radiometrik ToA. Selanjutnya menghitung nilai GNDVI pada lokasi lahan tebu yang ditinjau. Nilai GNDVI dari setiap lokasi lahan ini dihitung nilai mediannya dan dibuat grafik hubungan antara nilai GNDVI terhadap usia tanam tebu. Dari hasil penelitian didapatkan pola nilai GNDVI terhadap usia tebu berbentuk kurva parabolik. Hasil dari pola tersebut menunjukkan bahwa nilai GNDVI berada pada maksimum di usia sekitar 8, 9, dan 10, dimana nilai GNDVInya dalam rentang 0.43 sampai 0.54. Secara rata-rata hubungan usia tebu dengan nilai GNDVI dinyatakan dengan persamaan   dimana X dan Y berturut-turut adalah usia tebu dan nilai GNDVI dengan puncak nilai GNDVI berada pada bulan ke 9. Secara umum dapat dikatakan bahwa semakin besar usia tebu maka semakin besar nilai GNDVI hingga pada keadaan maksimum dan kembali menurun.
Klasifikasi Jenis Biji Kopi dengan Menggunakan Metode Gray Level Co-occurrence Matrix (GLCM) Bowo Eko Cahyono; Agus Tjahjo Nugroho; Icha Wulan Maulinida
Teknotan: Jurnal Industri Teknologi Pertanian Vol 16, No 3 (2022): TEKNOTAN, Desember 2022
Publisher : Fakultas Teknologi Industri Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jt.vol16n3.9

Abstract

Kopi merupakan salah satu tanaman perkebunan yang menjadi sumber penghasilan rakyat dan juga dapat menjadi sumber peningkat devisa negara melalui ekspor biji kopi mentah maupun olahan dari biji kopi. Kopi dapat dibedakan berdasarkan jenisnya yaitu Kopi Robusta dan Kopi Arabika. Setiap varietas kopi memiliki harga yang berbeda-beda tergantung dari jenis varietasnya. Tidak semua petani, dan pemilik coffee shop mampu mengenali varietas kopi dengan hanya melihat green bean dan roasting. Hal tersebut dapat diatasi dengan pemodelan yang dapat mengidentifikasi varietas Kopi Robusta dan Arabika agar dapat digunakan sebagai second opinion untuk mengidentifikasi varietas kopi robusta dan arabika. Salah satu metode yang dapat digunakan adalah metode pencitraan. Tujuan dari penelitian ini adalah untuk mengetahui akurasi mengklasifikasikan jenis biji kopi dengan menggunakan metode Gray Level Co-occurrence Matrix (GLCM). Pada penelitian ini bahan utama yang digunakan adalah biji kopi jenis Robusta Tanggul dan Raung, serta Arabika Ijen dan Bali yang telah di sangrai. tingkat kematangan sangrai biji kopi yang digunakan pada penelitian ini adalah coklat muda (light roast) untuk jenis Arabika dan medium roast untuk jenis robusta. Hasil yang diperoleh dari akurasi klasifikasi jenis biji kopi dengan menggunakan metode GLCM sebesar 99% untuk klasifikasi tipe kernel atau powder, 93% untuk klasifikasi jenis Robusta atau Arabika, dan 56% untuk klasifikasi daerah asal yaitu (Tanggul, Raung, Ijen, dan Bali) dengan citra data uji sebanyak 80 citra.
Analisis Produktivitas Padi berdasarkan Indeks Kekeringan (NDWI dan NDDI) Lahan Sawah menggunakan Data Citra Sentinel-2A di Kecamatan Ambulu Bowo Eko Cahyono; Rahmadin Rahagian; Agung Thahjo Nugroho
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 1 (2023): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i1.70682

Abstract

Rice is almost a staple food source for the world's population. The State of Indonesia contributes the largest amount of rice productivity, especially in the province of East Java. Ambulu District is part of the province of East Java, which has experienced a decline in rice productivity. The decline in rice productivity is thought to be the result of agricultural land drought. The purpose of this study was to determine the correlation value of the drought index (NDWI and NDDI) with rice productivity. This research was conducted using remote sensing methods using the Sentinel-2A satellite from 2016 to 2020 during the rainy season. Sentinel-2A satellite data is in the form of images, which are then cropped and digitized on agricultural land. Furthermore, the data was processed using Arcgis Software to obtain NDWI (Normalized Defense Water Index) and NDDI (Normalized Defense Drought Index) values as land dryness parameters, which were classified into 5 classes. The correlation results of the NDWI value on rice productivity have a directly proportional relationship with an effect of 61.96% and 38.04% influenced by other factors. The results of the correlation of NDDI values on rice productivity have an inverse relationship with an effect of 68.68% and 31.32% influenced by other factors
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 (IJReSES) Vol 20, No 2 (2023)
Publisher : Ikatan Geografi Indonesia

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
Effect of Corrosive Liquid Lead Coolant on the Structural Stability of Iron Material Sudarmadi, Sudarmadi; Sutisna, Sutisna; Cahyono, Bowo Eko; Widiasih, Widiasih
Computational And Experimental Research In Materials And Renewable Energy Vol 5 No 1 (2022): May
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v5i1.31479

Abstract

For the design of fast nuclear reactors, usually it use the lead metal alloys for coolant materials. Researches about lead coolants, has been carried out experimentally. However, experimental studies in the nuclear material field, besides being expensive, usually also require high safety. In particular, research on the corrosive properties of liquid lead for structural materials requires serious treatment if carried out experimentally. In this case, the computational method is very helpful to overcome these obstacles. In our research we use the molecular dynamics simulation method to know the effect of temperatures and effect of liquid lead corrosion attack to iron material. We want to know that which one is most crucial that causing the damage of the materials: it is due to temperature or due to liquid lead attack. It has been observed from MSD curves of simulation results that the liquid lead can make iron material experiencing most damage if compared with temperature effect The interactions among atoms are described by the Lennard-Jonnes interaction potential. The simulations was run and supported using Moldy and Ovito software.Keywords: Corrosion of molten lead, fast nuclear reactor, molecular dynamics simulation, Moldy, MSD, Ovito.