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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Ecotrophic, Journal of Environmental Science Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Elementer (Elektro dan Mesin Terapan) JUTIK : Jurnal Teknologi Informasi dan Komputer Matrix : Jurnal Manajemen Teknologi dan Informatika Jurnal Teknologi Terapan MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA The International Journal of Remote Sensing and Earth Sciences (IJReSES)
I Ketut Swardika
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Social Sciences

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (63.611 KB) | DOI: 10.31884/jtt.v5i1.164

Abstract

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)

Abstract

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)

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
Rancang Bangun Penerjemah BISINDO Real-time Berbasis Kamera dan Deep Learning dengan Kendali Suara ESP32 WiFi I Gusti Agung Made Yoga Mahaputra; Putri Alit Widyastuti Santiary; I Ketut Swardika
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 1 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i1.6578

Abstract

Indonesian Sign Language (BISINDO) serves as the primary means of communication for the deaf community. However, limited public understanding and the lack of practical real-time translation technology remain significant barriers to effective two-way communication. Most prior research has focused on foreign sign languages or relied on sensor-based gloves, which are less flexible for everyday use. This study proposes a real-time BISINDO translation system that converts hand gestures into speech using a camera and an ESP32 microcontroller. The system employs a CNN-LSTM deep learning model implemented in Python to classify gestures representing letters A to J, then wirelessly transmits the classification results to the ESP32, which triggers the corresponding audio output. A custom gesture dataset was collected and enhanced through preprocessing and data augmentation to support model training. Evaluation results demonstrate a classification accuracy of 91.4%, with a precision of 89.7%, recall of 90.5%, and F1-score of 89.9%. The average communication latency was recorded at 3.1 seconds, and the speech output success rate reached 86.7%. The system has proven reliable for real-time automatic gesture-to-speech translation and holds potential for further development as an inclusive communication aid for individuals with hearing impairments in Indonesia. This study serves as an initial foundation for future advancements in assistive communication technologies.
Sistem Pendukung Keputusan Penentuan Lokasi Wisata dengan Metode Topsis Santiary, Putri Alit Widyastuti; Ciptayani, Putu Indah; Saptarini, Ni Gusti Ayu Putu Harry; Swardika, I Ketut
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3250.396 KB) | DOI: 10.25126/jtiik.2018551120

Abstract

Bali merupakan salah satu tujuan wisata favorit. Di Bali terdapat banyak lokasi wisata yang menawarkan berbagai kelebihannya masing-masing. Setiap kawasan wisata menawarkan wahana dan keunggulannya masing-masing. Hal ini seringkali menjadikan wisatawan bingung untuk menentukan lokasi wisata, agar mampu memaksimalkan waktu kunjungan, biaya serta kepuasan yang diperoleh. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan (SPK) untuk penentuan lokasi wisata dengan metode TOPSIS dan fuzzy. Metode ini akan memberikan pembobotan kriteria sesuai dengan kondisi/preferensi pengguna, dan kemudian melakukan pengolahan pada data yang bersifat rasa/fuzzy. Metode TOPSIS akan memberikan perankingan alternatif yang menjamin kedekatan dengan kriteria benefit dan menjauhkannya dari kriteria yang bersifat cost. Implementasi sistem dilakukan dengan menggunakan database MySQL dan bahasa PHP. SPK yang dibangun mampu menghasilkan rekomendasi dengan memberikan perankingan lokasi wisata kepada pengguna sesuai preferensinya. Sistem yang dibangun diuji dengan menggunakan 17 alternatif dan 3 kriteria yang terdiri dari 1 kriteria cost dan 2 benefit. Eksperimen yang dilakukan berhasil memberikan perankingan yang berbeda terhadap 15 alternatif dan hanya 2 alternatif dengan ranking yang sama yaitu pada ranking ke-5 dan ke-6 karena skor keduanya sama pada setiap kriteria. AbstractBali is one of the favorite tourist destinations. In Bali there are many tourist destinations that offer their respective advantages. Each tourist area offers its own attraction and advantages. This often makes tourists confused to determine tourist destinations to maximize visit time, costs and satisfaction obtained. This study aims to build a decision support system (DSS) for determining tourist destinations with TOPSIS and fuzzy methods. This method will provide criteria weighting in accordance with the conditions/preferences of the user, and then perform processing on fuzzy data. The TOPSIS method will provide an alternative ranking that guarantees proximity to benefit criteria and keeps them from the cost criteria. System implementation was done using a MySQL database and PHP language. The DSS able to produce recommendation that provides users with a ranking of tourist destinations according to their preferences. The system built was tested using 17 alternatives and 3 criteria consisting of 1 cost criterion and 2 benefi criteria. Experiments carried out successfully gave different ranks to 15 alternatives and only 2 alternatives with the same ranking were ranked 5th and 6th because of both alternatives have the same score at each criterion.
Co-Authors Atsushi Ono Budiada, I Made CHAO FANG ZHAO Dewa Ayu Indah Cahya Dewi Harry Saptarini, Ni Gusti Ayu Putu I Gusti Agung Made Yoga Mahaputra I Gusti Agung Made Yoga Mahaputra I Nyoman Kusuma Wardana I Nyoman Mudiana I Wayan Arthana I Wayan Nuarsa Ida Bagus Irawan Purnama NUARSA I WAYAN Putri Alit Widyastuti Santiary Putu Indah Ciptayani Santiary, Putri Alit Widyastuti Sugirianta, Ida Bagus Ketut Susumu Kanno Takahiro Osawa Widyastuti Santiary, Putri Alit YASUHIRO SUGIMORI Yasuo Furushima