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PENGEMBANGAN APLIKASI BALITA BELAJAR CERDAS BERBASIS ANDROID Nuarsa, I Wayan Wahyu; Sunarya, I Made Gede; Wirawan, I Made Agus
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol 4, No 4 (2015)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/karmapati.v4i4.6524

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Abstrak— Pendidikan anak usia dini (PAUD) adalah jenjang pendidikan sebelum jenjang Pendidikan dasar yang merupakan suatu upaya pembinaan yang ditujukan bagi anak sejak lahir sampai dengan usia enam tahun. Aplikasi Balita Belajar Cerdas Berbasis Android merupakan aplikasi media pembelajaran untuk membantu anak usia dini belajar dalam aspek kognitif khususnya. Penelitian ini bertujuan untuk merancang dan mengimplementasikan rancangan aplikasi Balita Belajar Cerdas Android. Pengembangan aplikasi Balita Belajar Cerdas Berbasis Android menggunakan siklus hidup pengembangan perangkat lunak dalam bentuk sekuensial linier atau model air terjun. Fitur utama dari aplikasi ini adalah beberapa permainan yang menarik berdasarkan aspek kognitif yang diterapkan di TK. Terdapat juga fitur lainnya yaitu narrator yang berfungsi membantu anak-anak memainkan permainan agar lebih mudah dimengerti. Hasil dari penelitian ini yaitu perancangan dan implementasi aplikasi Balita Balita Cerdas Berbasis Android telah berhasil dilakukan. Perancangan dilakukan dengan menggunakan model fungsional berupa UML (Unified Modeling Languange). Diimplementasikan dalam bahasa pemrograman Java dengan menggunakan editor Eclipse dan plug-ins ADT (Android Development Tools) serta menggunakan AndEngine sebagai library tambahan. Seluruh kebutuhan fungsional telah berhasil diimplementasikan sesuai dengan rancangan. Kata Kunci : Media, Belajar, Balita, Android Abstract – Early childhood education (ECD) is the level of education before the basic education level, which is a development effort aimed at children from birth to the age of six years. Balita Belajar Cerdas Berbasis Android is an application of learning media to help early childhood learning in the cognitive aspects in particular. This research aimed at designing and implementing Balita Belajar Cerdas based Android Application. Balita Belajar Cerdas Berbasis Android was developed by the Software Development Life Cycle (SDLC) in the form of sequential linear or waterfall model. The main feature of this application are some interesting game based on the cognitive aspects which are applied in the school. There were also other features such as the narrator who will help children play the game, so, the game will be easy to understand. The results of this research were the design and the implementation of Balita Belajar Cerdas berbasis Android. The game was designed through UML (Unified Modeling Language). It was implemented in Java programming language by using the Eclipse editor and ADT (Android Development Tools) plug – ins. It also used AndEngine as additional library. The entire functional requirements had been successfully implemented in accordance with the design. Keyword : Media, Learning, Children, Android
GIS Based Analysis of Agroclimate Land Suitability for Banana Plants in Bali Province, Indonesia I Wayan Nuarsa; I Nyoman Dibia; Ketut Wikantika; Deni Suwardhi; I Nyoman Rai
HAYATI Journal of Biosciences Vol. 25 No. 1 (2018): January 2018
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.186 KB) | DOI: 10.4308/hjb.25.1.11

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The need for bananas in Bali far exceeds the production. To obtain optimal production according to their genetic potential, the development of banana cultivation should be preceded by a land suitability evaluation study. This study aims to evaluate the land suitability based on agroecological parameters such as rainfall, altitude, dry month, slope, and considering current land use. The results showed that 257.467 ha or 46.16% of the area of Bali Province has the potential to be planted with bananas. Buleleng Regency has the widest area for the development of banana plants, followed by Karangasem, Tabanan, Jembrana and Bangli. Denpasar town has the smallest suitable area. Based on the observed agroclimate parameters, slope is the most severe limiting factor in banana cultivation, while rainfall, altitude, and dry months are not significant limiting factors. Recommended land use for the development of banana plants is garden, grass, rain-fed rice field, scrub, bare land, and moor.
Identification of Banana Plants from Unmanned Aerial Vehicles (UAV) Photos Using Object Based Image Analysis (OBIA) Method (A Case Study in Sayang Village, Jatinangor District, West Java) Agung Budi Harto; Prila Ayu Dwi Prastiwi; Farah Nafisa Ariadji; Deni Suwardhi; Fenny M. Dwivany; I Wayan Nuarsa; Ketut Wikantika
HAYATI Journal of Biosciences Vol. 26 No. 1 (2019): January 2019
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2031.03 KB) | DOI: 10.4308/hjb.26.1.7

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  Banana is one of the leading fruit commodities of Indonesia and ranks the sixth position as one of the largest banana producers in the world. There are more than 200 types of banana in Indonesia. The utilization of bananas is influenced by the local culture, where in every 10 horticultural households, 5 of them plant bananas both as garden plants or field plants. This horticultural crop is expectantly being one of the actions to improve economic prosperity especially in rural areas. In maintaining the diversity of the growing bananas in rural areas, a geospatial approach to identify the vegetation is required. Remote sensing technology is one of the solutions to observe and to develop banana plants with one of the methods namely Object Based Image Analysis (OBIA). This method consists of segmentation, classification, and validation. In classification process, the OBIA method distinguishes objects not only based on pixel values but also on the basis of the shape, area, and texture around them. This research has proven that the classification using OBIA method is better than the traditional classification such as maximum likelihood classification method to identify banana plants. OBIA method can quickly identifies the vegetation and non-vegetation, also the regular plants and banana plants.
Analisis Korelasi Perubahan Tutupan Vegetasi Terhadap Perubahan Suhu Udara di Kota Denpasar MAR’IE ABDA’U ZAL; I Wayan Nuarsa; NI WAYAN FEBRIANA UTAMI
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 11 No 2 (2017)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.398 KB) | DOI: 10.24843/EJES.2017.v11.i02.p12

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The rate of growth and development of Denpasar city increases the demand for land to supply the needs of urban facilities and infrastructure. This affected to the increase of conversion of vegetation coverage into built-up land cover. The conversion of the vegetation coverage impacts on urban environmental quality which is increase the rate of air temperature. The purpose of this study is to examine the impact of vegetation coverage change on the air temperature change in Denpasar city in year of 2003, 2009 and 2015. Remote sensing and regression statistic method were used in this study. The results showed that the decrease of vegetation coverage influenced the increase of air temperature in Denpasar city. Statistically, the correlation can be projected on the equation y = 31,295-0,078x, where x and y are vegetaton coverege and air temperature respectively. This equation shows that decresing of 1% vegetation coverege will increase 0,078 oC of air temperature. The effort to conceder in responding to the temperature rise that occurred in Denpasar is increasing the number of green open space. Based on the classification value of vegetation coverage and air temperature of Denpasar City, there are three categories of priority areas for green open space development that is high, medium and low priority. The development of green open space in each priority area can be adjusted to the characteristics of land use.
PENETAPAN DAYA TAMPUNG BEBAN PENCEMARAN SUNGAI BADUNG DI DESA PEMOGAN Made Santiari; I Wayan Nuarsa; I Wayan Budiarsa Suyasa
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 10 No 2 (2016)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (235.22 KB) | DOI: 10.24843/EJES.2016.v10.i02.p10

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The water quality of Badung River in Pemogan village has exceeded the threshold limits.Therefore, It is needed to determinate the carrying capacity of Badung River. The determination of carrying capacity is very useful to control the disposal of waste into the Badung River. The objective of this study were to determine the sources of pollution, pollutant load and load capacity of Badung river at Pemogan village. Determination of pollutant source done with looked for land use and types of activities along the Badung river Pemogan village followed by field inspections. The pollution load was determined by multiplying the concentration of water quality and flow rate, while the carrying capacity was determined with the help of the program Qual2Kw ver 5.1. Determination of load capacity with Qualk2Kw ver 5.1 has several step such as data collect, the data entry process, calibration, verification and simulation according to the scenario. The result of this study showed sources of pollution that cause a decrease the water quality of Badung river in Pemogan village were non point source (agriculture and settlements) and point source (flow from upstream). The pollution load that flow into the Badung river in Pemogan village for BOD, COD and TSS respectively 419,97 kg/ day; 865,66 kg/day dan 160,70 kg/day. Load capacity of Badung river for COD and TSS were 1686.53 kg/day dan 4743.36 kg / day, Meanwhile, the load capacity of Badung River for BOD has overlimits.
Integrasi Teknologi Pengideraan Jauh dan Sistem Informasi Geografis untuk Estimasi Serapan dan Emisi CO2 di Kota Denpasar I Wayan Nuarsa; Abd. Rahman As-syakur; I Gusti Alit Gunadi; I Made Sukewijaya
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 12 No 2 (2018)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1104.811 KB) | DOI: 10.24843/EJES.2018.v12.i02.p12

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Integration of Remote Sensing Technology And Geographic Information Systems for Estimation of CO2 Updake and Emissions in Denpasar City Rapid economic growth in the Denpasar City has an impact on the rate of population growth. This will lead to increasing land requirements for settlements, infrastructure, and other supporting facilities. Meanwhile, the availability of land for green open space (RTH) will decrease. Several studies show that from year to year the area of ??vegetation cover decreases, and the air temperature in Denpasar City is increasing. Therefore, research to calculate CO2 uptake by urban plants and CO2 emissions from various activities in the city of Denpasar is needed to be done. Estimates of CO2 uptake by plants are carried out using remote sensing technology and GIS. Meanwhile, the calculation of CO2 emissions is carried out by an inventory of CO2 pollutant sources from point sources, areas sources, and mobile sources. The output of this study is a distribution map of CO2 absorption and emissions. From the map it can be seen whether the CO2 emissions of Denpasar City are higher than the ability of existing plants to absorb them. The results showed that the ability of plants in Denpasar as a green open space to absorb CO2 was 235,780.63 tCO2/year, while total emissions from pollutant sources were 862,955,856 tCO2/year. The sources of CO2 emissions include from point source 37,649 tons/year, from source area 95,310 tons/year, and from mobile sources at 862,955,856 tons/year. From the movable source the biggest contributor to CO2 emissions is light vehicles, which amounted to 540,355.88 tons/year (62.63%), then followed by motorcycles at 260,187.43 tons/year (30.16%). The amount of CO2 emissions in Denpasar City is 3.66 times greater than the ability of plants to absorb CO2 in 2015 and there is a tendency for this gap to be even greater in the future. To overcome this problem, regulations are needed such as reducing the number of motorized vehicles by increasing public transportation services. The use of vehicles using energy sources other than fuel such as electricity is another alternative to consider. Finally, the increase in the number and quality of green open spaces is a conventional method that needs to be done.
IDENTIFICATION OF SHORELINE CHANGES USING SENTINEL 2 IMAGERY DATA IN CANGGU COASTAL AREA Sagung Putri Chandra Astiti; Takahiro Osawa; I Wayan Nuarsa
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 13 No 2 (2019)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (655.628 KB) | DOI: 10.24843/EJES.2019.v13.i02.p07

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Coastal areas in the Canggu and Seminyak areas located in Badung Regency, Bali Province are very attractive tourism. The development of tourism has an impact on coastal conditions. The coastal conditions analyzed are changes in coastline that occurred during 2015-2019 using remote sensing. The satellite image data used in the analysis is Sentinel 2A image data that can be accessed for free with a spatial resolution of 10 meters. Image data processing is divided into three stages, namely preprocessing, processing, and post processing using Sentinel Application Platform (SNAP) software. The preprocessing stage includes the resampling, masking, and subset areas. The processing stage includes digitizing the coastal area, digitizing accuracy analysis using the Support Vector Machine (SVM) method, and the post processing stage including correction of shoreline changes. Bands in image data used for detection of coastal areas are band 8 (NIR), 8A (narrow NIR), 11 (SWIR), and 12 (SWIR). Based on the results of the analysis of shoreline changes carried out during 2015-2019, it was found that the average shoreline changes were 1.42 m / year with erosion conditions in which the dominant wind direction originated from the southwest towards the northeast coast of the sea of ??Bali. The results of digitizing the coastal area using the Fine Gaussian SVM method with the greatest accuracy value is 87.8%. Keywords: Shoreline Change, Remote Sensing, Sentinel 2A, SVM, Wind Direction
ANALISIS KEMAMPUAN LAHAN UNTUK ARAHAN PENGGUNAAN LAHAN PADA LERENG TIMUR LAUT GUNUNG AGUNG KABUPATEN KARANGASEM-BALI I Gede Budiarta; I Wayan Nuarsa; I Made Adhika
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 9 No 2 (2015)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.579 KB) | DOI: 10.24843/EJES.2015.v09.i02.p02

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This research was conducted in the northeastern slopes of Mount Agung in Karangasem regency, Bali province. The research area is dry land with land use patterns that have not demonstrated compliance with existing land potential. On the other hand, technological advances in the field of agriculture has been growing rapidly, one by analyzing the ability of the land to determine the potential of land resources and minimize the risk of failure of farmers. The results of the analysis of land capability is expected to serve as guidelines in a more optimal use of land in accordance with expectations. The purpose of this study was to determine the potential of land and recommends referral based land use conditions existing land capability in the area of research. The design used is descriptive design, with the main objective to provide a picture or description of land use capability and suitability of the study area. Guidelines for land capability analysis in this study refers to Arsyad (2006) and the Regulation of the Minister of Environment No. 17 Year 2009 on Guidelines for Determining Environmental Carrying Capacity in Regional Spatial Planning. The results showed that 1) land capability class research in areas ranging from class III to class VI. Land capability class III is spread on the land unit 1, land unit 2, land unit 3,and land unit 8. Capability class IV land located on land unit 4, land unit 7, land unit 9, land unit 10 and land unit 12.Land capability classes VI located on land unit 5, land unit 6, and land unit 11; 2) land use suitability value obtained was 92.85%. This shows that almost the entire study area (92.85%) is in conformity between the ability of the land and its use. The rest (7.15%) classified as not appropriate. Suitability of the land use study area into the high criteria; 3) Referral land use adapted to the existing conditions of land units. In class III-IV land that does not meet the user or not used optimally, land use options to do that seasonal crops, plantation crops. While on a class VI land use that is not appropriate or not used optimally, land use options to do that forest production and non-agricultural land use.
KAJIAN DAERAH TERINTRUSI AIR LAUT DI WILAYAH PESISIR KECAMATAN KUTA UTARA, KABUPATEN BADUNG I Made Sukearsana; I Gusti Bagus Sila Dharma; I Wayan Nuarsa
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 9 No 2 (2015)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.333 KB) | DOI: 10.24843/EJES.2015.v09.i02.p12

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The total population of District Kuta Utara 2014 recorded 68.422 people with an average population density of 2,021 people/km2 while the number of tourism accommodation facilities (hotels, villas, restaurants) recorded 399 pieces. The rapid of population growth and the development of tourism accommodation facilities require ground water more increasing. Intake of large amounts of ground water potential to cause pollution/ sea water intrusion. This study aims to determine the quality of the groundwater, knowing distribution maps sea water intrusion and to predict the level of sea water intrusion coming years. This research method uses descriptive quantitative method. Furthermore, to determine the quantity and quality of ground water was measured groundwater levels and analysis of the parameters of temperature, total dissolved solid, pH, chloride, hardness and electrical conductivity of the 60 sample wells. Results of analysis of each of the key parameters that can be mapped and known overlay distribution maps sea water intruded area. The observation of the quantity and quality of groundwater in coastal areas of Kuta Utara subdistrict shows the range of the depth of the ground water level between -5.15 meters to -22.16 meters. Results of the analysis of ground water quality of the 60 groundwater samples showed that there has been a decline in the quality of ground water is as much as 14 samples total dissolved solid (TDS) the highest reaches 1,122 mg/ l, the highest electrical conductivity reached 1,677 ìMhos / cm and the highest chloride reached 532, 5 mg/l. Distribution maps sea water intruded area shows that in coastal areas troubled district of Kuta Utara indicated seawater intrusion, especially in the area of Petitenget and Batubelig, Kerobokan Kelod Village area of 78.44 Ha. Prediction of sea water intrusion in 2022 was highest in the area of tourism accommodation caused by ground water extraction enough much, kind of gray-brown soil regosol has a rough texture and high permeability characteristics so it is easy to pass groundwater.
Pendugaan Produksi Padi Dengan Menggunakan Citra Landsat 8 di Kabupaten Tabanan FERNANDO JOSUA SINAGA; I WAYAN NUARSA; I KETUT SARDIANA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.9, No.1, Januari 2020
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.49 KB)

Abstract

Estimation of Rice Production Using Landsat 8 Satellite in Tabanan District Agricultural sector is currently a very important sector considering that everyhuman being needs food to survive and as a source of energy to carry out dailyactivities. Production estimation that are accurate and timely can provide informationfor planners and decision-makers to formulate appropriate policies when conditionsare inadequate or overstocked. The technology that can be used is remote sensing usingthe Landsat 8 satellite. The greenness level parameters of plants (Vegetation Index)obtained through satellite image analysis can be used to estimate rice production. Theresearch area is located in Tabanan Regency. Estimation of rice production is done bythe equation y = 2.0442e1.8787x, where x is the NDVI value from the Landsat 8 imageand y is the result of rice production. The estimation results using Landsat 8 are oneseason production in tons/ha. The accuracy test is done by paired t-test and correlationanalysis. Paired t-test shows that there are no significant differences between riceproduction estimation from BP3K and rice production estimation using Landsat 8.Correlation analysis results show that there is a linear relationship between statisticalresults and estimation results with R2value 0.9682 with the equation y = 1.0099x -0.0794, where y and x are Landsat 8 estimates in tons/ha and BP3K data respectively,with a Standard Error (SE) of 0.1984.
Co-Authors Abd. Rahman As-syakur Agit Setiyoko Agung Budi Harto Alan Frendy Koropitan Anak Agung Gede Sugianthara ANAK AGUNG PLASA PADMAWATI Atsushi Ono CHAO FANG ZHAO Deni Suwardhi Deni Suwardhi Diah Pertami Dian Novianto Farah Nafisa Ariadji Fenny M. Dwivany FERNANDO JOSUA SINAGA FERONIKA FERONIKA FRANSISKA PURBA Fumihiko Nishio FUMIHIKO NISHIO FUMIHIKO NlSHIO HARIANJA JUITA I Dewa Nym. Nurweda P., I Gede Hendrawan I GUSTI ALIT GUNADI I Gusti Bagus Sila Dharma I Gusti Ngurah Bagus Sukertha Diputra I Kade Alfian Kusuma Wirayuda I Ketut Sardiana I Ketut Swardika I Made Adhika I MADE ALIT WIRANATHA I Made Gede Sunarya I Made Mega I Made Sukearsana I Made Sukewijaya I Nyoman Dibia I Nyoman Puja I NYOMAN RAI I NYOMAN SUNARTA I W BUDIARSA SUYASA I Wayan Gede Astawa Karang I Wayan Sandi Adnyana IDA AYU PUTU JELANTIK PARWATI IDA BAGUS PUTU BHAYUNAGIRI INDAYATI LANYA JEREMIA KEVIN RONIO HUTAURUK Ketut Wikantika Kuncoro Teguh Setiawan M.Cs S.Kom I Made Agus Wirawan . Made Santiari Mark Johannes Wiggers MAR’IE ABDA’U ZAL Maulana Ilham Fahmy Alam Ngo The An Nguyen Tuyet Lan Ni Kadek Martini NI KOMANG RINI RATNA DEWI Ni Luh Putu Ria Puspitha NI PUTU AYU KRISMAYANI NI WAYAN FEBRIANA UTAMI Prila Ayu Dwi Prastiwi R. Suyarto Romaldo Da Costa Ximenes RUNIA CHRISTINA GULTOM Sagung Putri Chandra Astiti SUSUMU KANNO Susumu Kanno Susumu Kanno SUSUMU KANNO Syifa Wismayati Adawiah TAKAHIRO OSAWA Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa WAHID ARDIANSYAH WAYAN SANDI Widiastuti Widiastuti YASUHIRO SUGIMORI YASUHIRO SUGIMORI YASUHIRO SUGIMORI Yasuo Furushima