Garuda - Garba Rujukan Digital

p-Index From 2019 - 2024

6.891

P-Index

This Author published in this journals

All Journal International Journal of Electrical and Computer Engineering Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Jurusan Pendidikan Teknik Elektro Jurnal Pendidikan Teknologi dan Kejuruan Jupiter Proceedings of KNASTIK Jurnal Sains dan Teknologi Jurnal Pekommas Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Sistem dan Informatika CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Teknologi Informasi Asia Knowledge Engineering and Data Science Jurnal Teknologi Informasi dan Komputer Jurnal Eksplora Informatika SINTECH (Science and Information Technology) Journal Technomedia Journal Jurnal Infomedia Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYA LAKSANA Journal of Education Technology International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURIKOM (Jurnal Riset Komputer) Logic : Jurnal Rancang Bangun dan Teknologi JGGAG (Journal of Games, Game Art, and Gamification) Jurnal Mantik JURNAL ILMU KOMPUTER INDONESIA Jurnal Sistem Komputer & Kecerdasan Buatan Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) Journal of Computer Networks, Architecture and High Performance Computing Water Circulation Monitoring System in The Vanname Shrimp Cultivation based on Internet of Thing Media Bina Ilmiah Jurnal Kuliner Da'watuna: Journal of Communication and Islamic Broadcasting

Gede Indrawan

Universitas Pendidikan Ganesha

Author-ID : 287031

Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 83 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

PEMETAAN AKTIFITAS KONSUMEN TOKO MENGGUNAKAN METODE BACKGROUND SUBTRACTION Listartha, I Made Edy; Indrawan, Gede; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol 1, No 2 (2017)
Publisher : International Journal of Natural Science and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.695 KB)

This study aims to heat mapping the consumerâs movement using background subtraction techniques. The mapping is built using the coordinate information obtained from the consumer location that detected from the video where the separation of the consumer object and the background is done by background subtraction technique. Tests were performed on eleven video of consumer data activity that have different activity characteristics that were created using Microsoft PowerPoint application. Simulated activities include walking straight, staying, walking back to the path that had been passed, pacing, disturbance from another object, the influence of color, the consumer walks meet and coincide with other consumers. From the test of video discovery is obtained accuracy of 96.07% for the detection process of consumer movement, where the lack of detection process occurs due to the absence of techniques used to perform the introduction of characteristics of consumer objects. The mapping process is very much in line with the number of coordinates generated in the motion detection process, but the inaccurate detection of movement in the entrance and exit areas makes the coordinates high. By filtering with Region of Interes (ROI) in the survey area, creating disturbances in the area of doors and areas with objects that produce movements other than consumers can be eliminated.

PENDETEKSIAN OBJEK ROKOK PADA VIDEO BERBASIS PENGOLAHAN CITRA DENGAN MENGGUNAKAN METODE HAAR CASCADE CLASSIFIER Sanjaya, Kadek Oki; Indrawan, Gede; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol 1, No 3 (2017)
Publisher : International Journal of Natural Science and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.964 KB)

Object detection is a topic widely studied by the scientists as a special study in image processing. Although applications of this topic have been implemented, but basically this technology is not yet mature, futher research is needed to developed to obtain the desired result. The aim of the present study is to detect cigarette objects on video by using the Viola Jones method (Haar Cascade Classifier). This method known to have speed and high accuracy because of combining some concept (Haar features, integral image, Adaboost, and Cascade Classifier) to be a main method to detect objects. In this research, detection testing of cigarettes object is in samples of video with the resolution 160x120 pixels, 320x240 pixels, 640x480 pixels under condition of on 1 cigarette object and condition 2 cigarettes object. The result of this research indicated that percentage of average accuracy highest 93.3% at condition 1 cigarette object and 86,7% in the condition 2 cigarette object that was detected on the video with resolution 640x480 pixels, while the percentage of accuracy lowest 90% at condition 1cigarette object, and 81,7% at the condition 2 cigarette objects, detected on the video with the lowest resolution 160x120 pixels. The percentage of average errors at detection cigarettes object was inversely with percentage of accuracy. So that the detection system is able to better recognize the object of the cigarette, then the number of samples in the database needs to be improved and able to represent various types of cigarettes under various conditions and can be added new parameters related to cigarette object

DATA MINING REKOMENDASI CALON MAHASISWA BERPRESTASI DI STMIK DENPASAR MENGGUNAKAN METODE TECHNIQUE FOR OTHERS REFERENCE BY SIMILARITY TO IDEAL SOLUTION Juni Arta, I Kadek; Indrawan, Gede; Dantes, Gede Rasben
JST (Jurnal Sains dan Teknologi) Vol 5, No 2 (2016)
Publisher : Universitas Pendidikan Ganesha

Perkembangan teknologi yang semakin pesat dan tidak bisa dipungkiri bahwa teknologi sebagai kebutuhan sekunder bagi para penggunanya. Sejauh ini teknologi juga telah diterapkan pada beberapa bidang, salah satu contohnya kehadiran teknologi di sektor pendidikan yang memudahkan para penggunanya untuk melakukan proses penilaian prestasi. Sistem penilaian dan pencatatan yang dilakukan STMIK Denpasar masih konvensional sehingga mempersulit para dosen dan ketua yayasan untuk melakukan analisis lebih lanjut mengenai keadaan calon mahasiswanya. Selain dari itu, penilaian yang dilakukan pun lebih berfokus ke dalam bidang akademis (penguasaan konsep). Permasalahan yang dihadapi oleh pihak manajerial STMIK Denpasar adalah bagaimana memanfaatkan teknologi data mining untuk menentukan prestasi calon mahasiswa baru. Dengan sistem rekomendasi perangkat lunak menyediakan saran untuk items yang bisa digunakan oleh user. TOPSIS adalah salah satu metode pengambilan keputusan multikriteria. Metode ini banyak digunakan untuk menyelesaikan pengambilan keputusan secara praktis. Aplikasi telah berhasil memilih mahasiswa berprestasi dengan menggunakan TOPSIS dengan rata-rata access time 0.27268 detik dengan bobot 6 data sampel uji. Implementasi metode TOPSIS pada studi kasus mahasiswa berprestasi dengan menyaring bobot standar minimal hasil TOPSIS untuk diambil 2 nilai rangking terbaik pada ambang batas di atas 0.5. Kinerja TOPSIS dibandingkan dengan metode K-Means Clustering dari aspek access time TOPSIS lebih cepat yaitu 0.27268 detik sedangkan K-Means Clustering 0.3818 detik. Kinerja TOPSIS dibandingkan dengan metode K-Means Clustering dari aspek hasil TOPSIS menghasilkan rekomendasi yang sama dengan K-Means Clustering. Dalam penelitian ini metode TOPSIS baru bisa menghasil kan 2 rekomendasi sehingga pada penelitian selanjutnya metode ini bisa dibandingkan dengan metode lain. Kata kunci: TOPSIS, Rekomendasi, Prestasi, Datamining

Prediksi Customer Churn dengan Algoritma Decision Tree C4.5 Berdasarkan Segmentasi Pelanggan untuk Mempertahankan Pelanggan pada Perusahaan Retail Wardani, Ni Wayan; Dantes, Gede Rasben; Indrawan, Gede
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Customer is a very important asset for retail companies. This is the reason why retail companies should plan and use a fairly clear strategy in treating customers. With the large number of customers, the problem that must be faced is how to identify the characteristics of all customers and able to retain existing customers in order not to stop buying and moving to a competitor retail company. By applying the concept of CRM, a company can identify customers by segmenting customers while also being able to implement customer retention programs by predicting potential churn on each customer class. The data used comes from UD.Mawar Sari. Customer segmentation process uses RFM model to get customer class. UD. Mawar Sari customer class is dormant, everyday, golden and superstar. The construction of prediction models using the Decision Tree C4.5. The application of the prediction model obtains performance results, that is: Dormant: Recall 97.51%, Precision 75.18%, Accuracy 76.18%. Everyday: Recall 100%, Precision 99.04%, Accuracy 99.04%.  Golden: Recall 100%, Precision 98.84%, Accuracy 98.84%. Superstar: Recall 96.15%, Precision 99.43%, Accuracy 95.63%. Results of the evaluation with confusion matrix it can be concluded that the dormant customer class is a potentially churn customer class.

PELATIHAN JARINGAN KOMPUTER MENGGUNAKAN MODUL SURVEILLANCE CAMERA DI SMK NEGERI 1 TEJAKULA Santo Gitakarma, Made; Indrawan, Gede; Sutaya, I Wayan
JURNAL WIDYA LAKSANA Vol 7, No 2 (2018)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jwl.v7i2.12720

The security problem is an important issue in every aspect of human life. Surveillance Camera or monitoring camera is one of sollution for reliability and flexibility camera, even able to be accessed via the Internet. SMK Negeri 1 Tejakula not yet using the security system with CCTV or Surveillance Camera. The module donated to P2M was designed can be connected to a computer via cable, wireless and accessible via smartphone. This P2M is expected to increase student interest in computer networks (TKJ) and to provide a security system solutions for the convenience at SMK Negeri 1 Tejakula. The training was well implemented and successfully aroused students interest in the field of computer networks and motivated teachers to provide practical materials using the modules provided. Overall mastery of basic competencies in this training is 80.11 which exceeds 70% of KK or has succeeded in accordance with expectations

IbM Ampas Olah Basah Kopi Desa Wanagiri Buleleng Indrawan, Gede
JURNAL WIDYA LAKSANA Vol 7, No 2 (2018)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jwl.v7i2.11889

Salah satu hasil pertanian/perkebunan di Desa Wanagiri adalah kopi arabika dengan luas wilayah perkebunan Â±126 hektar. Sistem olah basah kopi hanya dilakukan pada kopi yang sudah matang/masak, ditandai dengan buah kopi berwarna merah. Setiap tahun produksi kopi hasil olah basah yang dihasilkan oleh petani di desa ini semakin meningkat. Namun seiring dengan peningkatan hasil kopi olah basah dari petani ini, limbah yang dihasilkan juga semakin banyak. Selama ini pengolahan limbah yang dilakukan oleh para petani belum ada. Tujuan program IbM pembuatan kompos di Desa Wanagiri, Buleleng, Bali ini adalah untuk memberdayakan kelompok petani dalam mengolah limbah hasil olah basah kopi untuk dikembangkan usahanya secara mandiri dan juga memberdayakan perekonomian lokal yang sudah ada. Pengembangan ini berupa bidang produksi dan manajemen. Pelaksanaan pelatihan dan pendampingan pembuatan kompos dan pembukuan sederhana, terlaksana dengan baik karena adanya motivasi dan partisipasi yang sangat efektif dari semua petani kopi kelompok Subak Abian Giri Merta dan kelompok Unit Usaha Produksi Leket Sari di Desa Wanagiri, Buleleng, Bali. Hal ini dapat dilihat dari wawasan dan pengetahuan para petani kopi yang sebelumnya tidak mampu dan tidak mengerti membuat kompos setelah diadakan pelatihan menjadi mengerti dan tahu.

Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding Anandita, Ida Bagus Gede; Gunadi, I Gede Aris; Indrawan, Gede
SINTECH (Science and Information Technology) Journal Vol 1 No 1 (2018): SINTECH Journal Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Technological progress in the medical area made medical images like X-rays stored in digital files. The medical image file is relatively large so that the image needs to be compressed. The lossless compression technique is an image compression where the decompression results are the same as the original or no information lost in the compression process. The existing algorithms on lossless compression techniques are Run Length Encoding (RLE), Huffman, and Lempel Ziv Welch (LZW). This study compared the performance of the three algorithms in compressing medical images. The result of image decompression will be compared to its performance in the objective assessment such as ratio, compression time, MSE (Mean Square Error) and PNSR (Peak Signal to Noise Ratio). MSE and PSNR are used for quantitative image quality measurement for subjective assessment assisted by three experts who will compare the original image with the decompression image. Based on the results obtained from the objective assessment of compression performance of RLE algorithm showed the best performance by yielding ratio, time, MSE and PSNR respectively 86,92%, 3,11ms, 0 and 0db. For Huffman, the results can be 12.26%, 96.94ms, 0, and 0db respectively. While LZW results can be in sequence -63.79%, 160ms, 0.3 and 58.955db. For the results of the subjective assessment, the experts argued that all images can be analyzed well.

Mengenal Aksara Bali: Balinese Script Game Education based on Mobile Application Andika, I Gede; Saputra, Daniel Eka; Yanti, Christina Purnama; Indrawan, Gede
Journal of Game, Game Art, and Gamification (JGGAG) Vol 4, No 1 (2019)
Publisher : Binus University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (95.485 KB)

Balinese Scriptwriting, as one of Balinese cultural richness, is going to extinct because of its decreasing use. Governor of Bali expressed concern about the increasingly diminishing interest of the community, especially among the younger generation using it. This research focused on the development of a Balinese Script game education based on a mobile application called Mengenal Aksara Bali. In this research area, Mengenal Aksara Bali offered a solution as an application that is not only for playing but also provided features for learning Balinese Script glyphs (basic syllables and numbers). Mengenal Aksara Bali was implemented by using Construct (a powerful game creator designed especially for 2D games). Through Black Box testing, its functions in the application were running as expected.

KLASIFIKASI MULTILABEL PADA ABSTRAK TUGAS AKHIR MENGGUNAKAN VECTOR SPACE MODEL DAN K-NEAREST NEIGHBORS Indrawan, I Putu Yoga; I Gede Indrawan; I Made Candiasa
SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019
Publisher : LPPM STMIK STIKOM Indonesia

The final project is one of the requirements of graduation students. Students who want to do the final project need to see the final project result on the same topic that has been done before. With a large number of end-task documents, it certainly takes a great effort to find the final project document on the same topic. The final grouping can be automated using the document classification method. The methods that can be used to classify documents are K-Nearest Neighbors as classifier and Vector Space Model to measure the distance between documents From the initial observation, the multilabel classification in the final abstract using Vector Sapce Model and K-Nearest Neighbors has not been evaluated. Because some previous studies have led to the testing of single labels and only lead to one method, as the method is tested. Classification of abstract document final task consists of 2 stages of making distance table using vector space model and multilabel classification using KNN. This method has not been able to predict the label accurately because the exact exact ratio of its optimum value is only 0.57 when m = 4 and k = 8. This method is good enough in predicting the label even though not precisely. Can be seen from the accuracy value of its optimum which is 0.74 when m = 4 and k = 9. The exact match ratio and accuracy value of this method has the optimum value at m = k / 3.

PENGEMBANGAN MULTIMEDIA PEMBELAJARAN BERBASIS INKUIRI TERHADAP HASIL BELAJAR IPA Indrawan, I Gede Edy; Jampel, Nyoman; Mahadewi, Luh Putu Putrini
Journal of Education Technology Vol 3, No 3 (2019)
Publisher : Universitas Pendidikan Ganesha

Permasalahan yang dihadapi di SMP Negeri 2 Gerokgak adalah terbatasnya media yang mampu memvisualisasikan materi pelajaran.sehingga dilakukan penelitian yang bertujuan (1) untuk mendeskripsikan rancang bangun multimedia pembelajaran pada mata pelajaran IPA, (2) untuk mengetahui kualitas multimedia pembelajaran menurut review ahli, dan uji coba yang dilakukan siswa, serta (3) untuk mengetahui efektivitas multimedia pembelajaran mata pelajaran IPA. Model pengembangan yang digunakan adalah model Luther. Validasi multimedia dilakukan oleh ahli isi mata pelajaran, ahli desain pembelajaran, ahli media pembelajaran, uji coba perorangan, uji coba kelompok kecil, dan uji coba lapangan. Efektivitas multimedia dilakukan oleh 29 siswa menggunakan desain penelitian pre-test dan post-test. Data dikumpulkan dengan metode wawancara, pencatatan dokumen, kuesioner dan tes objektif. Analisis data menggunakan analisis deskriptif kualitatif, kuantitatif dan statistik inferensial/induktif uji-t.Hasil penelitian ini adalah (1) rancang bangun pengembangan multimedia interaktif mulai dari langkah analisis, desain, pengembangan, implementasi dan evaluasi; (2) Validitas hasil pengembangan media menurut review ahli dan siswa yaitu: a) ahli isi pembelajaran 92,5% berada pada kategori sangat baik; b) ahli desain pembelajaran 92,22% berada pada kategori sangat baik; c) ahli media pembelajaran 84,7% berada pada kategori baik; d) uji coba perorangan90% berada pada kategori sangat baik; e) uji coba kelompok kecil 89% berada pada kategori sangat baik; f) dan uji coba lapangan 87,7% yang berada pada kategori baik; (3) berdasarkan uji hipotesis ditunjukkan bahwa harga thitung = 14,10> ttabel =2,003. Dengan demikian multimedia pembelajaran ini efektif untukmeningkatkan hasil belajar IPA di SMP Negeri 2 Gerokgak. Kata Kunci: IPA, multimedia pembelajaran, pengembangan

Co-Authors Agus Adiarta,ST,MT . Agus Ariwanta, I Putu Yesha Ahmad Asroni Ahmad Asroni Ambara, Made Anandita, Ida Bagus Gede Andika, I Gede Anop Sudiatmika Apriyanthi, Ni Putu Eka Arsa, Putu Suka Benhard Sitohang Christina Purnama Yanti Cokorda Oka Birawidya Damiati Dananjaya, Made Wira Putra Denny Nathaniel Chandra Dewa Gede Hendra Divayana, Dewa Gede Hendra Dewi, Ni Wayan Jeri Kusuma Dewi, Suzy Puspita Diva Palguna Eka Saputra, I Gede Tiar Gede Rasben Dantes Gede Suweken Gemara Adhiyasa Parahita Nugraha Gusti Ngurah Joniartawan Hery Heryanto I Gede Andika I Gede Aris Gunadi I Gede Bara Yuda Gautama I Gede Indra Suwardika I Gusti Ngurah Bagus Putra Asmara I Kadek Juni Arta I Kadek Wahyu Sudiatmika I Kayan Herdiana I Ketut Paramarta I Ketut Paramarta I Ketut Pramarta I Ketut Suja I Komang Adyanata I Komang Deny Supanji I Made Ade Prayoga I Made Agus Oka Gunawan I Made Agus Widiana Putra I Made Candiasa I Made Edy Listartha I Made Windu Segara Kurniawan I N. Jampel I Nyoman Saputra I Nyoman Sukajaya I Nyoman Sukaraja I Putu Aris Sanjaya I Putu Okta Priyana I Putu Yoga Indrawan I W. Widiana I Wayan Dodi Putra Artawan I Wayan Rosiana Ida Ayu Mirah Cahya Dewi Ida Bagus Gede Anandita Ida Bagus Nyoman Wijana Manuaba Ida Bagus Prayoga Bhiantara Ida Putu Ayu Hemy Eka Yani Joniartawan, Gusti Ngurah Kadek Enny Rusmala Dewi Kadek Oki Sanjaya Kadek Wibawa Kadek Yota Ernanda Aryanto Ketut Agustini Ketut Nila Arta Komang Gde Hendra Kusuma Putra Kurniawan, I Made Windu Segara Luh Joni Erawati Dewi M.T. S.T. I Wayan Sutaya . Made Ambara Made Santo Gitakarma Made Windu Antara Kesiman Mahadewi, Luh Putu Putrini Moh. Heri Setiawan Ni Luh Made Uti Tiasmi Ni Made Ayu Juli Astari Ni Nyoman Harini Puspita Ni Wayan Jeri Kusuma Dewi Ni Wayan Wardani Nyoman Jampel Nyoman Santiyadnya Palguna, Diva Praja Setiawan Pratama, Putu Aditya Putu Aditya Pratama Putu Eka Parianthana Putu Suka Arsa Sandhiyasa, I Made Subrata Sanjaya, Kadek Oki Saputra, Daniel Eka Sariyasa . seftian rusditya Setiawan, Praja Sudiatmika, Anop Suzy Puspita Dewi Taufik Akbar Taufik Akbar Wardani, Ni Wayan Wayan Andre Pratama Wibawa, Kadek Wirawan Nathaniel Chandra

Title

Found 83 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 83 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 83 Documents
Search