Garuda - Garba Rujukan Digital

KARAKTERISTIK POTENSI ANGIN SEBAGAI SUMBER ENERGI TERBARUKAN DI INDONESIA DARI DATA SATELIT REMOTE SENSING Swardika, I Ketut
Jurnal Teknologi Terapan Vol 5, No 1 (2019): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Global warming, climate changes mostly associates with solar-renewable energy; however wind-energy potential has no detail reports in Indonesia. This study aims to mapping of characteristics and potential of wind as renewable-energy from long-term (1997-2009) satellite remote-sensing. Wind direction (WD), speed (WS) derives from microwave/ scatterometer sensor on satellite operational years as follows: ADEOS (1997), DMSP (1998-1999), AMI (1997-1999), QuikSCAT (1999- 2009). Data processed into 0.25o grid, monthly temporal resolution. The regional characteristics of WD/WS, seasonal and zonal-longitudinal reveals by statistic. Electrical energy derives from kinetic energy of turbine-blades per-unit time. Energy conversion uses power-curves and technical parameters of 1.50 and 3.40 MW (GE 1.5s, 3.4-137 models) onshore installations with 25km2 per point, 15% availability area. Result shows WS has low characteristics in Indonesian-waters (<3.7ms-1). WS has high at north-south Java-Sumatra, Banda waters (<6.9ms-1). The zonal-seasonal wind variability of WD, WS stables at equator. Increases of degree-zonal (>5deg), wind curve follows north-south hemisphere characteristics and crosses in April, October. The north-west, south-east monsoon shows clearly only on north-western of Java-Sumatra waters. WS has range of 0-25.20ms-1, average 6.64ms-1 with Std. 1.64ms-1. With these WS, generation of electrical energy has range from 104.0 to 2230.5 kWh per-point installation grid.

STUDY OF ESTIMATE CONCENTRATION OF WATER CONSTITUENTS AT BADUNG STRAIT BALI USING INVERSE MODEL I Ketut Swardika; Takahiro Osawa; I Wayan Arthana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 1 No 2
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (634.615 KB)

An algorithm was employed to retrieve the concentrations of three water constituents, chlorophyll-a,suspended matter and colored dissolved organic matter (CDOM) from MODIS (Moderate-ResolutionImaging Spectrometer) in wide range covering from oligotrophic case-1 to turbid case-2 waters at theBadung Strait Bali. The algorithm is a neural network (NN) which is used to parameterize the inverse of aradiative transfer model. It’s used in this study as a multiple nonlinear regression technique. The NN is a feedforward back propagation model with two hidden layers. The NN was trained with computed radiancecovering the range of chlorophyll-a from 0.001 to 64.0 ?g/l, inorganic suspended matter from 0.01 to 50.0mg/l, and CDOM absorption at 440nm from 0.001 to 5.0 m-1. Inputs to the NN are the radiance of the fivespectral channels which were under discussion for MODIS. The outputs are the three water constituentconcentrations. The NN algorithm was tested using in-situ data set on May, September, November 2005 atthe Badung Strait Bali and the north sea of Sumbawa Island and applied to MODIS. The coefficient ofdetermination (R2) between chlorophyll-a concentrations derived from simulation and in-situ data is 0.327,for suspended matter R2 is 0.408. No in-situ measurements of CDOM available for validation. Also, in-situdata were compared with the corresponding distribution obtained by the NASA standard OC4 (OC3M) forMODIS chlorophyll-a algorithm and giving R2 0.188. This study gives better accuracy compare withstandard algorithm. How ever both studies are giving over estimate chlorophyll-a concentration. Since thereare no standard MODIS products available for suspended matter and CDOM, the result of the retrieval by theNN for these two variables could only be assessed by a general knowledge of their concentrations anddistribution patterns

ANALISA KECEPATAN SPATIAL QUERY DATA SATELIT PADA BEBERAPA STORAGE ENGINE MYSQL DATABASE I Ketut Swardika
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 6 No 1 (2016): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (675.101 KB)

Penerapan spatial database untuk data satellite remote sensing, membutuhkan struktur data yang memungkinkan proses spatial query dilakukan dengan kecepatan tinggi, oleh karena volume data satelit biasanya sangat besar. Data-data satelit disimpan kedalam spatial database MySQL, karena MySQL adalah open-source database server yang sangat populer saat ini. Pemilihan tipe mesin penyimpan atau storage engine pada MySQL mempengaruhi perfomance sebuah spatial query. Pada paper ini, dilakukan pengujian kecepatan spatial query pada storage engine MySQL. Data pengujian berupa data radian beberapa band sensor MODIS pada satelit AQUA/TERRA. Sebuah store procedure dibuat yang akan memberikan informasi kecepatan query. Spatial database diimplementasikan dengan memilih database table dengan tipe storage engine yang mendukung kolom tipe geometry. Untuk mendapatkan perfomance yang baik, storage engine harus mendukung spatial index. Spatial query dilakukan dengan bantuan spatial function yang sudah terstandarisasi. Hasil test menunjukan tipe storage engine MyISAM secara umum memberikan kecepatan spatial query yang lebih cepat dari tipe storage engine InnoDB dan ditemukan delay yang besar pada kecepatan transfer InnoDB yang menyebabkan kecepatan query total menjadi lebih lama dari MyISAM. Telah dikembangkan tipe storage engine ARIA pada MariaDB yang memiliki keunggulan lebih baik dari MyISAM dan mendukung fitur transaksional seperti pada InnoDB

SISTEM PENGHITUNG JUMLAH ORANG PADA PINTU MASUK OTOMATIS Putri Alit Widyastuti Santiary; I Ketut Swardika
Jurnal Teknologi Informasi dan Komputer Vol. 9 No. 4 (2023): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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

Pembatasan jumlah orang pada suatu orang adalah salah satu upaya untuk mencegah penyebaranvirus yang terjadi pada saat covid-19 melanda seluruh dunia. Antisipasi penyebaran tersebut sampaimasih menjadi suatu kebiasaan baru pada kehidupan kita saat ini. Salah satu cara untuk membatasijumlah orang pada suatu ruangan adalah dengan menghitung jumlah orang yang masuk dan keluardari ruangan tersebut. Pada penelitian ini dirancang sebuah sistem penghitung jumlah orang padapintu masuk otomatis. Pada sistem ini RFID reader akan membaca tag RFID, jika tag sudah sesuaidengan ID yang tersimpan pada mikrokontroler maka LCD akan menampilkan nama tag tersebut.Saat objek melewati pintu masuk dan dideteksi oleh sensor infrared 1 maka mikrokontroler akanmemberikan sinyal kepada motor servo 1 untuk menutup pintu masuk sekaligus menambah jumlahorang yang ada pada ruangan dan LCD akan menampilkan jumlah orang di dalam ruangan. Saatsensor infrared 2 mendeteksi objek maka mikrokontroler akan memberikan sinyal kepada motorservo 2 untuk membuka pintu keluar dan terdapat delay 3 detik kemudian pintu keluar akan tertutupsecara otomatis.Berdasarkan hasil pengujian, RFID dapat membaca tag sampai jarak 4cm, sensorinfrared 1 mampu mendeteksi objek sampai jarak 4 cm, sensor infrared 2 mampu mendeteksi objeksampai jarak 5 cm, dan sistem dapat menampilkan jumlah orang yang berada pada ruangan secaraotomatis.

Intra-class deep learning object detection on embedded computer system Santiary, Putri Alit Widyastuti; Swardika, I Ketut; Dewi, Dewa Ayu Indah Cahya; Sugirianta, Ida Bagus Ketut
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp430-439

Implementation of artificial intelligence tends to be portable, mobile and embeds in embedded computer system (EBD). EBD is a special-purpose computer with limited capacity in a small-form size. Deep learning (DL) had known as cutting edges for object recognition. With DL, object feature extraction analysis is omitted. DL requires large computing resources and capacity. Implement DL algorithm on EBD goal to achieves high detection accuracy and high-efficiency resources. Hence, be able to cope with intra-class variations, and image disturbances. By those challenges and limitations, this study reports the performance of EBD to recognize an object which has high variations in their class, through an optimal raw-input dataset. The raw-input dataset performed optimization process with a supervisor. Yield is the proper optimal input dataset in size. The performance results observed begin from training dataset until evaluation stage of DL. The comparison performs in efficiency resources, loss, validation-loss, timesteps, and detection accuracy by multiclass confusion matrix analysis. This study shows through this purpose method efficient resources are highly archived. Shorter timesteps ensure training stage is successful, and detection accuracy is perfectly archived. In addition, this study proves DL method archived great performances in classifying object that has identical structure.

Detection of vague object signatures on deep learning surveillance devices Swardika, I Ketut; Widyastuti Santiary, Putri Alit
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3262-3272

The deep learning of object detection has become a breakthrough in recent years. Many papers demonstrated that this method records significant reliability results. However, the question arises whether objects that were successfully detected are initially conditioned clear in daylight. The object being detected is in the form of a photographic product that has numerous problems. It can be distant or have low-contrast so that their signatures are challenging to recognize, especially detection of persons in surveillance systems for dark-environments. This paper contributes to proving the deep learning method capable of detecting night-person (NP) with high precision and recall in the dark without image enhancement, by using ordinary cameras which operate on day-night or visible-near infrared spectrum runs on embedded systems. For that, an infrared-cut filter mechanical shutter is designed to block for the day or deliver infrared light for the night. The NP signatures are illuminated by an external infrared light source, providing three-channel high-resolution images. The distance of a NP from the camera becomes a decisive successful detection. The external infrared light source makes objects under or overexposed affecting the object being recognized. The validation with thoroughly new data of the NP constantly provides high precision and recall.

Design and implementation of IoT-based motorcycle keyless ignition and starter using RFID and Blynk Budiada, I Made; Ida Bagus Irawan Purnama; Putri Alit Widyastuti Santiary; I Ketut Swardika; I Nyoman Kusuma Wardana
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.119-127

Motorcycles are one of the most widely used means of transportation in the community. However, this widespread usage has led to an increase in thefts, especially when motorcycles are not equipped with adequate security systems. Statistical data shows that motorcycles have the highest theft rate compared to other vehicles. To address this issue, an enhanced security system is necessary. This study proposes the use of Radio Frequency Identification (RFID) sensor and the Blynk application to provide additional security for motorcycles. The RFID system will only be accessible using the motorcycle owner's e-KTP (electronic Indonesian Identity Card) or other registered cards to start the vehicle. Additionally, the Blynk mobile application allows for vehicle control (ON and OFF) via Wi-Fi and provides real-time monitoring of the vehicle's status. This application enables motorcycle activation remotely via Wi-Fi, with a range of approximately 10 meters. Meanwhile, there is a 4-second delay to start the motor starter using e-KTP. Test results indicate that this IoT-based keyless ignition and starter system is effective in enhancing motorcycle security. With this system, motorcycles have a dual-layer security mechanism to minimize theft attempts.

IMPLEMENTASI CCTV UNTUK PEMANTAUAN KEAMANAN DI PURA DALEM DESA ADAT DEMULIH, KECAMATAN SUSUT, KABUPATEN BANGLI-BALI Putri Alit Widyastuti Santiary; Dewa Ayu Indah Cahya Dewi; I Nyoman Mudiana; I Ketut Swardika
Jurnal Teknologi Informasi dan Komputer Vol. 10 No. 3 (2024): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v10i3.3459

Desa Adat Demulih, merupakan sebuah desa yang ada di Kecamatan Susut, Kabupaten Bangli, Bali.Kekhususan dari desa adat adalah memiliki pura kahyangan tiga, yaitu Pura Desa, Pura Puseh, danPura Dalem. Pura Dalem Desa Adat Demulih seperti halnya pura pada umumnya memiliki bendasakral yang perlu dijaga. Sebagai upaya dalam peningkatan keamanan wilayah pura, maka perluadanya sistem keamanan terpadu dimana terdapat peralatan CCTV (Closed-Circuit Television),internet dan aplikasinya serta patroli pecalang adat. Sistem pemantauan keamanan lingkunganmenggunakan CCTV merupakan solusi efektif untuk meningkatkan keamanan di suatu area, sepertilingkungan perumahan, perkantoran, tempat beribadah, dan tempat umum lainnya. Sistem inibekerja dengan memanfaatkan kamera CCTV yang dipasang di berbagai titik strategis untukmemantau aktivitas di sekitarnya secara real-time. Pura merupakan tempat ibadah yang sangatpenting bagi umat Hindu, dimana nilai-nilai spiritual dan budaya dijunjung tinggi. Keamanan puramenjadi aspek yang sangat vital untuk memastikan ketenangan dan kenyamanan umat yangberibadah, serta melindungi pura dari ancaman pencurian. Salah satu teknologi yang dapatdiandalkan untuk meningkatkan keamanan pura adalah penggunaan CCTV.

Modelling spatio-temporal energy consumption from nighttime radiance satellite dataset Swardika, I Ketut; Santiary, Putri Alit Widyastuti
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 3 (2023): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v13i3.166-175

National electricity consumption increases in line with continuous population growth and other socio-economic factors. The national electric power capacity goal develops largely for industrial manufacture and new settlement. The electrification- ratio on the target; is based on the accessibility of electricity services. The spatial distribution of electricity services coverage over the Indonesian territory is insufficient, particularly over the remote area that is out of electric services. Modeling by spatial (location) and temporal (year) to estimate electricity or energy consumption is necessary to develop using a low-light nighttime satellite dataset, therefore spatial boundaries can be accomplished. The modeling procedure starts by preparing the data frame of the independent variable input (amount of radiance) and the dependent variable output (the consumption of electricity or energy). The modelling method uses the curve-fitting approach where the indicator results by evaluating the R-square and RMSE values. The output model function is used to convert radiances into electrical power consumption units with a certain degree of accuracy. The selection of the input-output variable was achieved after variable analysis with the highest R-square outcome. Results indicate that the model functions in a polynomial form and correlations between variables are not simple. The selection of various model functions did not change the degree of correlation. The accumulative of energy radiances as independent variable input provides the optimum correlation result. The energy consumption from street lighting, in general, offers appropriate information that can be seen from satellites. The model function can be applied to a narrower spatial scale by input variable constraints.

Design and implementation of IoT-based motorcycle keyless ignition and starter using RFID and Blynk Budiada, I Made; Ida Bagus Irawan Purnama; Putri Alit Widyastuti Santiary; I Ketut Swardika; I Nyoman Kusuma Wardana
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.119-127

Motorcycles are one of the most widely used means of transportation in the community. However, this widespread usage has led to an increase in thefts, especially when motorcycles are not equipped with adequate security systems. Statistical data shows that motorcycles have the highest theft rate compared to other vehicles. To address this issue, an enhanced security system is necessary. This study proposes the use of Radio Frequency Identification (RFID) sensor and the Blynk application to provide additional security for motorcycles. The RFID system will only be accessible using the motorcycle owner's e-KTP (electronic Indonesian Identity Card) or other registered cards to start the vehicle. Additionally, the Blynk mobile application allows for vehicle control (ON and OFF) via Wi-Fi and provides real-time monitoring of the vehicle's status. This application enables motorcycle activation remotely via Wi-Fi, with a range of approximately 10 meters. Meanwhile, there is a 4-second delay to start the motor starter using e-KTP. Test results indicate that this IoT-based keyless ignition and starter system is effective in enhancing motorcycle security. With this system, motorcycles have a dual-layer security mechanism to minimize theft attempts.

Title

Found 11 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 11 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 11 Documents
Search