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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Semantik Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika EMITTER International Journal of Engineering Technology Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Knowledge Engineering and Data Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri INOVTEK Polbeng - Seri Informatika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam JAVA Journal of Electrical and Electronics Engineering JAREE (Journal on Advanced Research in Electrical Engineering) Community Empowerment Jurnal Nasional Teknik Elektro dan Teknologi Informasi Makara Journal of Technology Sewagati Jurnal Rekayasa elektrika

I Ketut Eddy Purnama

Institut Teknologi Sepuluh Nopember

Author-ID : 349094

Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Classification of Ischemic Stroke with Convolutional Neural Network (CNN) approach on b-1000 Diffusion-Weighted (DW) MRI Andi Kurniawan Nugroho; Dinar Mutiara Kusumo Nugraheni; Terawan Agus Putranto; I Ketut Eddy Purnama; Mauridhi Hery Purnomo
EMITTER International Journal of Engineering Technology Vol 10 No 1 (2022)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v10i1.694

When the blood flow to the arteries in brain is blocked, its known as Ischemic stroke or blockage stroke. Ischemic stroke can occur due to the formation of blood clots in other parts of the body. Plaque buildup in arteries, on the other hand, can cause blockages because if it ruptures, it can form blood clots. The b-1000 Diffusion Weighted (DW) Magnetic Resonance Imaging (MRI) image was used in a general examination to obtain an image of the part of the brain that had a stroke. In this study, classifications used several variations of layer convolution to obtain high accuracy and high computational consumption using b-1000 Diffusion Weighted (DW) MR in ischemic stroke types: acute, sub-acute and chronic. Ischemic stroke was classified using five variants of the Convolutional Neural Network (CNN) architectural design, i.e., CNN1–CNN5. The test results show that the CNN5 architectural design provides the best ischemic stroke classification compared to other architectural designs tested, with an accuracy of 99.861%, precision 99.862%, recall 99.861, and F1-score 99.861%.

Development of digital technology-based nursing service innovation in the pandemic era Yulis Setiya Dewi; Nursalam Nursalam; Ahsan Ahsan; I Ketut Eddy Purnama; Tomoko Hasegawa; Arina Qona'ah; Rifky Octavia Pradipta; Hidayat Arifin; Gusmaniarti Gusmaniarti
Community Empowerment Vol 7 No 4 (2022)
Publisher : Universitas Muhammadiyah Magelang

Optimizing health services during the pandemic is something that hospitals must do in order to keep improving service quality. This community service aims to educate nurses on how to use digital technology-based nursing services in the pandemic. Health education is provided through webinars, as a method of implementing this community service program. The majority of webinar participants (60%) had sufficient knowledge based on the results of the pretest. Following the presentation of the material, it can be concluded that there has been an increase in knowledge, with 182 participants (90%) having excellent knowledge. Nursing services are benefiting from digital innovation not only in terms of workforce management, but also in terms of changing the way care is delivered. Nurses are crucial in the adoption of digital tools and information technology to improve patient care. This is due to the fact that the quality of digital care delivery has risen to the forefront of healthcare and is being scrutinized more than ever before.

Optimasi Penjadwalan Perkuliahan Menggunakan Metode Harmony Search Abd Rahman; Eko Mulyanto Yuniarno; I Ketut Eddy Purnama
Al-Khwarizmi : Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Vol 2, No 2 (2014): Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam
Publisher : Prodi Pendidikan Matematika FTIK IAIN Palopo

Penjadwalan perkuliahan pada suatu perguruan tinggi adalah kegiatan rutin tiap semester dan merupakan suatu proses untuk menerapkan event yang berisi komponen mata kuliah dan kelas pada time slot yang berisi komponen waktu dan ruang. Permasalahan yang sering terjadi dalam kegiatan penjadwalan adalah terjadinya pertentangan antara jadwal yang satu dengan yang lain. Salah satu metode untuk menyelesaikan permasalahan tersebut ialah dengan menggunakan bantuan kecerdasan buatan atau Artificial Intelligence (AI). Salah satu metode dalam AI yang dianggap dapat memberikan solusi atas permasalahan penjadwalan ialah Harmony Search. Harmony Search merupakan suatu wilayah ilmu komputer yang mendasarkan algoritmanya pada musik. Algoritma Harmony Search menganalogikan musik dengan segala perangkatnya dengan permasalahan optimasi. Misalnya, setiap alat musik berkaitan dengan variabel keputusan, nada musik berkaitan dengan nilai variabel, harmoni berhubungan dengan vektor solusi. Seperti seorang musisi yang memainkan musik tertentu, berimprovisasi memainkan nada secara random atau berdasarkan pengalaman untuk menemukan harmoni yang indah, variabel dalam Harmony Search mempunyai nilai random atau nilai yang didapat dari iterasi (memory) dalam usaha mendapatkan solusi optimal. Dengan menerapkan algoritma Harmony Search dalam penyusunan jadwal perkuliahan, maka diharapkan dapat tercipta suatu susunan jadwal perkuliahan yang optimal.

Are IEEE 754 32-Bit and 64-Bit Binary Floating-Point Accurate Enough? Hutabarat, Bernaridho; Purnama, I Ketut Eddy; Hariadi, Mochamad; Purnomo, Mauridhi Hery
Makara Journal of Technology Vol. 15, No. 1
Publisher : UI Scholars Hub

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

This paper describes a research toward the accuracy of floating-point values, and effort to reveal the real accuracy. The methods used in this research paper are assignment of values, assignment of value of arithmetic expressions, and output the values using floating-point value format that helps reveal the accuracy. The programming-tool used are Visual C# 9, Visual C++ 9, Java 5, and Visual BASIC 9. These tools run on top of Intel 80 x 86 hardware. The results show that 1*10-x cannot be accurately represented, and the approximate accuracy ranges only from 7 to 16 decimal digits.

Aplikasi Telekardiologi untuk Mobile Android Dilengkapi Sensor ECG Robby Aldriyanto Raffly; Arief Kurniawan; I Ketut Eddy Purnama
Jurnal Teknik ITS Vol 11, No 2 (2022)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v11i2.86593

Jantung berfungsi memompa darah ke seluruh bagian tubuh. Kelainan pada kesehatan jantung memliki akibat fatal bahkan kematian. Kematian karena penyakit jantung menyumbang jumlah kasus kematian terbanyak di dunia. Kita dapat memonitoring kesehatan detak jantung untuk mendeteksi penyakit jantung sejak dini. Pada Tugas Akhir ini kami mengimplementasikan sistem telekardiologi. Telekardiologi yang kami terapkan adalah membuat aplikasi android untuk mengambil data sinyal ECG dari sebuah alat dengan arduino yang dilengkapi Bluetooth HC-05 dan AD8232. Dengan menggunakan sensor AD8232, arduino dapat memproses sinyal ECG yang kemudian akan dikirim secara serial menggunakan modul bluetooth HC-05 menuju aplikasi android. Aplikasi berfungsi mengirimkan sinyal ECG kepada dokter spesialis jantung sehingga dokter dapat mendiagnosa sinyal ECG pasien tanpa harus mengecek pasien dengan bertemu secara langsung. Aplikasi dilengkapi fitur chat dengan dokter agar pasien dapat berkonsultasi jarak jauh.

Automatic 3D Cranial Landmark Positioning based on Surface Curvature Feature using Machine Learning Putu Hendra Suputra; Anggraini Dwi Sensusiati; Myrtati Dyah Artaria; Gijsbertus Jacob Verkerke; Eko Mulyanto Yuniarno; I Ketut Eddy Purnama
Knowledge Engineering and Data Science Vol 5, No 1 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v5i12022p27-40

Cranial anthropometric reference points (landmarks) play an important role in craniofacial reconstruction and identification. Knowledge to detect the position of landmarks is critical. This work aims to locate landmarks automatically. Landmarks positioning using Surface Curvature Feature (SCF) is inspired by conventional methods of finding landmarks based on morphometrical features. Each cranial landmark has a unique shape. With the appropriate 3D descriptors, the computer can draw associations between shapes and landmarks using machine learning. The challenge in classification and detection in three-dimensional space is to determine the model and data representation. Using three-dimensional raw data in machine learning is a serious volumetric issue. This work uses the Surface Curvature Feature as a three-dimensional descriptor. It extracts the local surface curvature shape into a projection sequential value (depth). A machine learning method is developed to determine the position of landmarks based on local surface shape characteristics. Classification is carried out from the top-n prediction probabilities for each landmark class, from a set of predictions, then filtered to get pinpoint accuracy. The landmark prediction points are hypothetically clustered in a particular area, so a cluster-based filter is appropriate to isolate them. The learning model successfully detected the landmarks, with the average distance between the prediction points and the ground truth being 0.0326 normalized units. The cluster-based filter is implemented to increase accuracy compared to the ground truth. Thus, SCF is suitable as a 3D descriptor of cranial landmarks.

Lightweight pyramid residual features with attention for person re-identification Reza Fuad Rachmadi; I Ketut Eddy Purnama; Supeno Mardi Susiki Nugroho
International Journal of Advances in Intelligent Informatics Vol 9, No 1 (2023): March 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i1.702

Person re-identification is one of the problems in the computer vision field that aims to retrieve similar human images in some image collections (or galleries). It is very useful for people searching or tracking in a closed environment (like a mall or building). One of the highlighted things on person re-identification problems is that the model is usually designed only for performance instead of performance and computing power consideration, which is applicable for devices with limited computing power. In this paper, we proposed a lightweight residual network with pyramid attention for person re-identification problems. The lightweight residual network adopted from the residual network (ResNet) model used for CIFAR dataset experiments consists of not more than two million parameters. An additional pyramid features extraction network and attention module are added to the network to improve the classifier's performance. We use CPFE (Context-aware Pyramid Features Extraction) network that utilizes atrous convolution with different dilation rates to extract the pyramid features. In addition, two different attention networks are used for the classifier: channel-wise and spatial-based attention networks. The proposed classifier is tested using widely use Market-1501 and DukeMTMC-reID person re-identification datasets. Experiments on Market-1501 and DukeMTMC-reID datasets show that our proposed classifier can perform well and outperform the classifier without CPFE and attention networks. Further investigation and ablation study shows that our proposed classifier has higher information density compared with other person re-identification methods.

Penerapan E-Commerce untuk Penguatan UMKM Berbasis Konsep One Village One Product di Kabupaten Karangasem I Ketut Eddy Purnama; Putu Gde Ariastita; Ketut Dewi Martha Erli Handayeni; Supeno Mardi Susiki Nugroho
Sewagati Vol 2 No 2 (2018)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (246.77 KB)

Pendekatan OVOP (One Village One Product) merupakan konsep dalam pengembangan ekonomi wilayah yang mengarahkan suatu wilayah/desa mampu menciptakan suatu produk khas yang bercirikan lokal dengan memanfaatkan segala potensi sumberdaya lokal yang dimilikinya serta berdaya saing global. Dalam mendorong implementasi OVOP di Indonesia, kebijakan dan program yang mendukungnya ditetapkan oleh Kementerian Perindustrian sejak tahun 2008. Pendekatan OVOP mengandalkan peran usaha mikro, kecil, dan menengah (UMKM) serta koperasi sebagai ujung tombak dalam menghasilkan produk unggulan desa/wilayah. Namun, hingga kini implementasi OVOP di daerah masih sering menemukan kendala, terutama pada penguatan kapasitas pelaku usaha dalam menciptakan produk unggul yang berdaya saing global. Pada tahun 2017 telah dilaksanakan kegiatan pengabdian masayrakat melalui identifikasi komoditas unggulan dengan pendekatan OVOP di Kabupaten Karangasem. Hasilnya adalah terdapat 11 jenis produk unggulan yang diproduksi oleh UMKM yang tersebar di 8 kecamatan yang hanya memiliki skala pemasaran sebagian lokal. Kegiatan perekonomian di Kabupaten Karangasem didominasi oleh kegiatan UMKM ini dengan karakteristik modal kecil, tenaga kerja sedikit, manajemen/pengelolaan yang sederhana, serta teknologi yang juga masih sederhana. Sektor ini mampu menyerap tenaga kerja sebanyak 27.709 orang. Peran UMKM ini strategis sebagai penopang perekonomian wilayah dan kesejahteraan masyarakat Kabupaten Karangasem. Namun, kendala promosi dan strategi pemasaran produk menjadi hambatan utama sektor UMKM ini. Oleh karena itu, perlunya penguatan sektor UMKM terutama dalam hal pemasaran produk melalui penerapan E-Commerce. E-Commerce adalah platform aktifitas jual-beli barang atau jasa melalui komputer dan jaringan internet. Penerapan e-commerce dilakukan di banyak negara-negara berkembang dan berhasil meningkatkan produktifitas, menjangkau pasar lebih luas, dan kesempatan penjualan yang lebih baik sehingga juga meningkatkan daya saing global. Implementasi OVOP di Karangasem dapat diperkuat dengan sebuah platform Information and Communication Technology (ICT) berupa e-commerce atau perdagangan elektronik. Beberapa manfaat e-commerce diantaranya dapat menambah jangkauan pemasaran dan jumlah konsumen, mempermudah promosi produk, mengurangi rantai distribusi pemasaran barang, mempermudah interaksi antara penjual dan pembeli termasuk mendapat saran dari pembeli, dan pada akhirnya dapat meningkatkan produksi. Dengan penerapan e-commerce, maka sektor UMKM diharapkan dapat mengaplikasikan bisnis/usaha yang berkelanjutan dan bersaing secara global berdasarkan prinsip-prinsip OVOP.

Analisis Kinerja Protokol Routing AODV, DSR, dan OLSR pada Mobile Ad hoc Network Berdasarkan Parameter Quality of Service Alamsyah Zakaria; Eko Setijadi; I Ketut Eddy Purnama; Mauridhi Hery Purnomo
Jurnal Rekayasa Elektrika Vol 14, No 3 (2018)
Publisher : Universitas Syiah Kuala

MANET is autonomous, self-configured, and applicable to emergency locations such as forest fires, earthquakes, floods, and health monitoring. However, challenges and difficulties faced by the mobile ad-hoc network (MANET) is a dynamically built network system, without the support of infrastructure in communicating between one node and other nodes, and limited energy sources. To overcome MANET problems and to obtain optimal network quality, the selections of routing protocols and quality of service (QoS) are significant in MANET design. This study aims to analyze the performance of routing protocols: dynamic source routing (DSR), ad-hoc on demand distance vector (AODV) and optimized link state routing (OLSR) based on QoS. The analyzed QoS parameters include packet delivery ratio (PDR), packet loss, throughput, and delay. Simulation results using network simulator version based on the number of node densities indicate that OLSR has better performance compared to AODV and DSR regarding PDR, packet loss, throughput, and delay.

Analisis Kinerja Protokol Routing Reaktif dan Proaktif pada MANET Menggunakan NS2 Alamsyah; Eko Setijadi; I Ketut Eddy Purnama; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 2: Mei 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (927.423 KB)

The development of mobile ad-hoc network (MANET) is becoming popular and interesting to research because it has a fast characteristic, cost-effective deployment, able to manage topology change independently, and can be applied to emergency locations such as forest fire detection, military operation, and health monitoring. However, the problems faced by MANET are dynamic network topology changes, limited energy consumption, and without the support of existing infrastructure. In order to overcome dynamic topology changes and to obtain reliable network quality, then routing protocol selection is critical in designing MANET. This study aims to analyze the performance of AODV, DSR, DSDV, and OLSR routing protocols based on the quality of service (QoS). Scenarios based on the number of vertices, packet size, a broad area of simulation, length of simulation, simulation speed, mobility model, and propagation model. The simulation has been done to produce four graphs, each of which describes the PDR, throughput, packet loss, and delay. The simulation results show that OLSR performs better than DSR, AODV, and DSDV in terms PDR, throughput, packet loss, and delay. OLSR average value in PDR by 39.997%, throughput by 417.383 Kbps, packet loss by 60.003%, and delay of 15.52 milliseconds.

Co-Authors Abd Rahman Adhi Dharma Wibawa Adi Sutanto Ahmad Zaini Ahsan Ahsan Ait-Souar, Iliès Alamsyah Alamsyah - Andi Kurniawan Nugroho Arham Arham, Arham Arina Qona'ah Asayanda, Fikra Agha Rabbani Bernaridho Hutabarat, Bernaridho Boedinugroho, Hanny Budi Nur Iman Budi Santoso Catur Supriyanto Chastine Fatichah Dian Ratnawati Diana Purwitasari Dinar Mutiara Kusumo Nugraheni Effendy Hadi Sutanto Eka Dwi Nurcahya Eko Mulyanto Yuniarno Eko Mulyanto Yuniarno Elly Purwantini Endang Sri Rahayu Esther Irawati Setiawan Filiazsanti, Almira Firman Arifin Gijsbertus Jacob Verkerke Gijsbertus Jacob Verkerke Guruh Fajar Shidik Gusmaniarti, Gusmaniarti Handayeni, Ketut Dewi Martha Erli Hartarto Junaedi Hermawan, Norma Hernanda, Arta Kusuma Hidayat Arifin I Made Gede Sunarya Ida Hastuti Ima Kurniastuti Iman Fahruzi Ingrid Nurtanio Ismoyo Sunu Isturom Arif Jaya Pranata, Jaya Joko Priambodo Juanita, Safitri Khakim Ghozali Kristian, Yosi Kurniawan, Arief Lilik Anifah Lukman Affandhy Lukman Zaman Margareta Rinastiti Masy Ari Ulinuha Mauridhi Heri Purnomo Mauridhi Heri Purnomo Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mira Candra Kirana Moch Hariadi Moch Hariadi Mochamad Hariadi Mochamad Yusuf Alsagaff Mochammad Hariadi Muhammad Anshari Muhammad Hariadi Muhammad Nur Alamsyah Muhtadin Muhtadin Muhtadin Mulyanto, Eko Munawir . Munawir Munawir Munir, M Syahrul Myrtati Dyah Artaria Nazarrudin, Ahmad Ricky Nofiandri Setyasmara Nursalam . Pramunanto, Eko Priambodo, Joko Prioko, Kentani Langgalih Pulung Nurtantio Andono Putu Gde Ariastita Putu Hendra Suputra R Dimas Adityo Rachmadi, Reza Fuad Raihan, Muhammad Reza Fuad Rachmadi Ricardus Anggi Pramunendar Rifky Octavia Pradipta Rika Rokhana Rika Rokhana Rima Tri Wahyuningrum Rima Tri Wahyuningrum Robby Aldriyanto Raffly Rokhana, Rika Rumala, Dewinda Julianensi Saiful Bukhori Saiful Bukhori Sensusiati, Anggraini Dwi Setijadi, Eko Slamet Hartono Stevanus Hardiristanto Stevanus Hardiristanto Stevanus Hardiristanto, Stevanus Sugiyanto - Supeno Mardi Susiki Nugroho, Supeno Mardi Suryo, Yoedo Ageng Terawan Agus Putranto Tita Karlita Tita Karlita Tita Karlita Tomoko Hasegawa Tri Arief Sardjono Wulandari, Ariani Dwi Yosi Kristian Yulis Setiya Dewi Zaimah Permatasari Zaman, Lukman

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