Article Per Year (5 Year)
p-Index From 2021 - 2026
4.857
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of ICT Research and Applications Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer JETT (Jurnal Elektro dan Telekomunikasi Terapan) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SMARTICS Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Indonesian Journal of Electrical Engineering and Computer Science Journal of Dinda : Data Science, Information Technology, and Data Analytics eProceedings of Engineering Jurnal INFOTEL Journal of Information Technology and its Utilization
Aji Gautama Putrada
Telkom University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

Published : 91 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search
Journal : Indonesian Journal on Computing (Indo-JC)

 1 
Perancangan Software PDU Encoder dan PDU Decoder untuk Layer MAC WiMAX Aji Gautama Putrada
Indonesia Journal on Computing (Indo-JC) Vol. 1 No. 1 (2016): March, 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/INDOJC.2016.1.1.34

Abstract

WiMAX, singkatan dari Wireless Interoperable Microwave Access merupakan teknologi telekomunikasi dengan sistem wireless broadband access. Teknologi ini dibuat berdasarkan Standar Wireless Metropolitan Area Network IEEE 802.16-2004 dan bekerja pada Media Access Control (MAC) Layer dan Physical (PHY) Layer pada jaringan komputer. MAC dari WiMAX merupakan Layer yang connection oriented dan mengatur akses sebuah perangkat WiMAX pada jaringan Physical. Layer ini mengerjakan berbagai macam hal seperti connection management, penjadwalan serta ARQ dan lain sebagainya. PDU Encoder digunakan untuk membentuk data keluaran dari MAC menuju transmitter Physical. Sebaliknya PDU Decoder membentuk data keluaran MAC dari receiver Physical. Makalah ini membahas tentang perancangan dan implementasi Software PDU Encoder dan PDU Decoder. PDU Encoder dan Decoder dapat melakukan berbagai macam fungsi, antara lain, packing, fragmentation, kalkulasi CRC, dan pemberian MAC Header.
Improving Smart Lighting with Activity Recognition Using Hierarchical Hidden Markov Model Nur Ghaniaviyanto Ramadhan; Aji Gautama Putrada; Maman Abdurohman
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 2 (2019): September, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2019.4.2.307

Abstract

This paper has the aim of implementing the smart lighting systems that is able to analyze daily movement activities, analyze the performance of hierarchical hidden markov models as predictions and analyze the performance of smart lighting with activity analysis using hierarchical hidden markov models. The purpose is to answer the problems that occur, namely the smart lights only turn on if users are right under the lights so users need a smart light which is able to read the movement of people when approaching the lamp or not. Secondly, there are also smart lights, but when usersare under the lights, it only lights up for a few seconds which should light up if there is a person below or a radius around the lamp so that a smart light is needed when someone is underneath and the lights will die it is outside the radius around the lamp. The model used is the hierarchical hidden markov model which is an extension of the hidden markov model which can solve the problem of evaluation, conclusion and learning with the algorithm used is the viterbi algorithm. The result obtained using HHMM are accuracy of 93%, 92% recall and 86% precision.
Smart Packaging Machine dengan Menggunakan Teknologi Internet of Things (IoT) Berbasis Fuzzy Logic untuk Penghematan Daya Listrik Hanifa Zahra Dhiah; Novian Anggis Suwastika; Aji Gautama Putrada
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 2 (2019): September, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2019.4.2.318

Abstract

Sekali produksi dalam keadaan normal tanpa ada kendala apapun, daya listrik yang terpakai oleh mesin packaging adalah 1200-1800 watt, jika terjadi kendala pada saat produksi akan memakan daya listrik lebih dari itu. Penyebab terjadinya pemakaian daya listrik yang berlebih adalah, ketika stok makanan ataupun stok plastik telah habis, mesin tetap berjalan, dan hal tersebut tidak bisa ditangani secara langsung, karena mesin packaging ini tidak memiliki kemampuan untuk mematikan mesin secara otomatis ketika stok makanan telah habis, juga tidak adanya orang yang memonitoring hal tersebut secaralangsung dikarenakan banyaknya mesin yang beroperasi ketika waktu produksi berlangsung. Dampak dari hal tersebut, salah satu yang paling utamanya adalah borosnya konsumsi energi listrik pada saat sekali produksi, dan hal tersebut tidak baik bagi keuangan sebuah industri dan juga tidak baik bagi lingkungan. Tujuan dari pembuataan paper ini untuk mengurangi permasalahan penghematan konsumsi energi listrik dengan dibuatnya sistem yang menggunakan teknologi Internet of Things (IoT) dengan berbasis fuzzy logic untuk penghematan daya listrik, analisis Fuzzy logic digunakan untuk mengolah inputan daya listrik yang di hasilkan mesin, yang diperuntukkan mengontrol kinerja mesin. Hasil yang didapatkan dengan menggunakan metode fuzzy logic serta teknologi IoT sebagai kontrol otomatis adalah produktivitas mesin menjadi lebih hemat 80.15% dari biasanya.
Smart Packaging Machine (SPANE) berbasis Fuzzy Logic pada Jaringan Internet Of Things (IoT) untuk Optimasi Packing Berat Makanan Taufik Suyanto; Novian Anggis Suwastika; Aji Gautama Putrada
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 2 (2019): September, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2019.4.2.320

Abstract

Salah satu permasalahan optimasi kemasan makanan adalah ketidaktepatan berat kemasan makanan. Kasus ketidaktepatan berat kemasan makanan ini sering terjadi pada sistem kemasan makanan konvensional yang sepenuhnya mengandalkan pada perhitungan timbangan digital tanpa proses pengecekan berat secara berulang. Untuk mengatasi kasus ketidaktepatan berat kemasan makanan tersebut diperlukan pengawasan yang terus menerus serta sistem yang mampu melakukan perhitungan dan memberikan keputusan yang tepat pada berat makanan yang sudah dikemas. Internet of Things mampu memberikan kemampuan untuk melakukan pengawasan otomatis secara terus menerus. Sementara fuzzy logic memberikan kemampuan untuk memberikan keputusan terhadap ketepatan berat kemasan makanan. Pada penelitian ini, dibangun smart packaging machine (SPANE) yaitu sistem timbangan digital berbasis IoT dan fuzzy untuk meningkatkan optimasi kemasan makanan. Tahap pertama, pengambilan data dari alat penghitung beban konvensional dan digital. Tahap kedua, data timbangan di analisa dengan kontrol fuzzy logic. Tahap ketiga, ditentukan hasil optimasi yang lebih baik dari kedua alat penghitung beban. Hasil pengujian yang dilakukan didapatkan hasil pada timbangan konvensional 96.24% sedangkan pada SPANE 98.50%. Optimasi kemasan makanan dapat ditingkatkan hingga 3%.
The Quality Comparison of WebRTC and SIP Audio and Video Communications with PSNR Muhhamad Affan Hasby; Aji Gautama Putrada; Febri Dawani
Indonesia Journal on Computing (Indo-JC) Vol. 6 No. 1 (2021): April, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.1.549

Abstract

Video and audio communications have become part of all areas of work. Two real-timecommunication protocols commonly used for IP-based video and audio communicationsare Session Initiation Protocol (SIP) and real-time web communications (WebRTC). Bothprotocols have been widely used in softphone and video conferencing applications. Themain objective of this research is to make an analysis of the performance of a client serverapplication for video and audio communications developed by SIP and WebRTC. The SIPsystem consists of a softphone on the client side using Bria and a FreePBX server, forWebRTCapplications, using JavaScript and a server at Node.js. The results showed that the WebRTCaudio and video communication provided better quality in terms of PSNR. This is due tothe different codecs used between WebRTC and SIP. WebRTC uses VP8 as video codec, SIPuses H.246 as video codec, WebRTC uses G.711 as audio codec, and implemented SIP usesG.729 as audio codec.
Gated Recurrent Unit for Fall Detection on Motorcycle Smart Helmet with Accelerometer Sensor Aji Gautama Putrada
Indonesia Journal on Computing (Indo-JC) Vol. 7 No. 3 (2022): December, 2022
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2022.7.3.672

Abstract

Smart motorcycle helmets are an emerging topic that can provide convenience to motorcyclists, such as providing information about the gas tank and tire pressure through the sound on the helmet. However, extracting important features of sequential data from accelerometer sensors becomes challenging when attempting to add a fall detection function to the helmet. This study proposes a gated recurrent unit (GRU) for fall detection using an accelerometer mounted on a smart motorcycle helmet. The first step is to get the x-axis, y-axis, and z-axis data from the accelerometer for the fallen human condition and the non-falling human condition. The data preparation involves the autocorrelation function (ACF), the partial autocorrelation function (PACF), normalization, standardization, random oversampling, and one hot encoder. The last is to train the GRU model. We use long short-term memory (LSTM) and convolutional neural network (CNN) as benchmarks. Accuracy, Loss, Precision, Recall, and F1−Score are the metrics we use to measure model performance. The test results show that GRU has Accuracy that is better than LSTM and CNN, which are 0.98, 0.97, and 0.96, respectively. Then other GRU performances in fall detection using the accelerometer sensor are 0.99, 0.97, and 0.98 for Precision, Recall, and F1−Score, respectively.
QUIDS: A Novel Edge-Based Botnet Detection with Quantization for IoT Device Pairing Aji Gautama Putrada; Nur Alamsyah; Mohamad Nurkamal Fauzan; Sidik Prabowo; Ikke Dian Oktaviani
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.878

Abstract

Advanced machine learning has managed to detect IoT botnets. However, conflicts arise due to complex models and limited device resources. Our research aim is on a quantized intrusion detection system (QUIDS), an edge-based botnet detection for IoT device pairing. Using knearest neighbor (KNN) within QUIDS, we incorporate quantization, random sampling (RS), and feature selection (FS). Initially, we simulated a botnet attack, devised countermeasures via a sequence diagram, and then utilized a Kaggle botnet attack dataset. Our novel approach includes RS, FS, and 16-bit quantization, optimizing each step empirically. The test results show that employing a mean decrease in impurity (MDI) by FS reduces features from 115 to 30. Despite a slight accuracy drop in KNN due to RS, FS, and quantization sustain performance. Testing our model revealed 1200 RS samples as optimal, maintaining performance while reducing features. Quantization to 16-bit doesn’t alter feature value distribution. Implementing QUIDS increased the compression ratio (CR) to 175×, surpassing RS+FS threefold and RS by 13 times. This novel method emerges as the most efficient in CR.
The Quality Comparison of WebRTC and SIP Audio and Video Communications with PSNR Muhhamad Affan Hasby; Putrada, Aji Gautama; Dawani, Febri
Indonesian Journal on Computing (Indo-JC) Vol. 6 No. 1 (2021): April, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.1.549

Abstract

Video and audio communications have become part of all areas of work. Two real-timecommunication protocols commonly used for IP-based video and audio communicationsare Session Initiation Protocol (SIP) and real-time web communications (WebRTC). Bothprotocols have been widely used in softphone and video conferencing applications. Themain objective of this research is to make an analysis of the performance of a client serverapplication for video and audio communications developed by SIP and WebRTC. The SIPsystem consists of a softphone on the client side using Bria and a FreePBX server, forWebRTCapplications, using JavaScript and a server at Node.js. The results showed that the WebRTCaudio and video communication provided better quality in terms of PSNR. This is due tothe different codecs used between WebRTC and SIP. WebRTC uses VP8 as video codec, SIPuses H.246 as video codec, WebRTC uses G.711 as audio codec, and implemented SIP usesG.729 as audio codec.
QUIDS: A Novel Edge-Based Botnet Detection with Quantization for IoT Device Pairing Aji Gautama Putrada; Nur Alamsyah; Mohamad Nurkamal Fauzan; Sidik Prabowo; Ikke Dian Oktaviani
Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.878

Abstract

Advanced machine learning has managed to detect IoT botnets. However, conflicts arise due to complex models and limited device resources. Our research aim is on a quantized intrusion detection system (QUIDS), an edge-based botnet detection for IoT device pairing. Using knearest neighbor (KNN) within QUIDS, we incorporate quantization, random sampling (RS), and feature selection (FS). Initially, we simulated a botnet attack, devised countermeasures via a sequence diagram, and then utilized a Kaggle botnet attack dataset. Our novel approach includes RS, FS, and 16-bit quantization, optimizing each step empirically. The test results show that employing a mean decrease in impurity (MDI) by FS reduces features from 115 to 30. Despite a slight accuracy drop in KNN due to RS, FS, and quantization sustain performance. Testing our model revealed 1200 RS samples as optimal, maintaining performance while reducing features. Quantization to 16-bit doesn’t alter feature value distribution. Implementing QUIDS increased the compression ratio (CR) to 175×, surpassing RS+FS threefold and RS by 13 times. This novel method emerges as the most efficient in CR.
Co-Authors Abdillah, Hilal Nabil Abiyan Bagus Baskoro Aditya Firman Ihsan Adrian Gusti Nurcahyo Agita Rachmad Muzakhir Algi Fajardi Alieja Muhammad Putrada Andrian Rakhmatsyah Angga Anjaini Sundawa Anita Auliani Argo Surya Adi Dewantoro Aziz Nurul Iman Baginda Achmad Fadillah Bambang Setia Nugroho Bayu Kusuma Belva Rabbani Driantama Bramantio Agung Prabowo Calvin M.T Manurung Catur Wirawan W Catur Wirawan Wijiutomo Daniel Arga Amallo Dawani, Febri Dicky Prasetiyo Dita Oktaria Doan Perdana Dodi W. Sudiharto Dodi Wisaksono Sudiharto Dody Qori Utama Endro Ariyanto Erwid Musthofa Jadied Fachrial Akbar Fadhlillah Fadhlillah Fadhlurahman Irwan Fairus Zuhair Azizy Atoir Fakhri Akbar Pratama Farisah Adilia Fauzan Ramadhan Sudarmawan Fauzan, Mohamad Nurkamal Fauzan, Mohamad Nurkamal Fazmah Arif Yulianto Febrina Puspita Utari Fitra Ilham Gabe Dimas Wicaksana Gentur Cipto Tri Atmaja Hamman Aryo Bimmo Hanifa Zahra Dhiah Hilal Hudan Nuha Hirianinda Malsegianty S Ikbar Mahesa Ikke Dian Oktaviani Ikke Dian Oktaviani Ikrimah Muiz Ilham Fadli Surbakti Imas Nur Tiarani Irfan Dwi Wijaya Irfan Nugraha Januar Triandy Nur Elsan Krisna Kristiandi Hartono Kurnia Wisuda Aji Mahmud Dwi Sulistiyo Mahmud Imroba Maman Abdurohman Maman Abdurrahman Mar Ayu Fotina Mas'ud Adhi Saputra Maya Ameliasari Mohamad Nurkamal Fauzan Mohamad Nurkamal Fauzan Mohamad Nurkamal Fauzan Muhamad Nurkamal Fauzan Muhammad Al Makky Muhammad Alkahfi Khuzaimy Abdullah Muhammad Dafa Prima Aji Muhammad Fahmi Nur Fajri Muhammad Ihsan Muhammad Kukuh Alif Lyano Muhammad Shibgah Aulia Muhhamad Affan Hasby Muhhamad Affan Hasby Muhtadu Syukur A Mulia Hanif Nando, Parlin Nando, Parlin Niken Cahyani Novian Anggis Suwastika Nuha, Hilal H Nur Alamsyah NUR ALAMSYAH Nur Alamsyah, Nur Nur Ghaniaviyanto Ramadhan Nurkamal Fauzan, Mohamad Pahlevi , Rizka Reza Pamungkas, Rizaldi Ramdlani Parman Sukarno Prasti Eko Yunanto Putrada, Alieja Muhammad Putri Azanny Raden Muhamad Yuda Pradana Kusumah Rafie Afif Andika Rahmat Suryoputro Rahmat Yasirandi Randy Agustyo Raharjo Reynaldo Lino Haposan Pakpahan Richasdy, Donny Rizki Jamilah Guci Sabrina Adinda Sari Sailellah, Hassan Rizky Putra Seli Suhesti Sena Amarta Sidik Prabowo Siti Amatullah Karimah Subkhan Ibnu Aji Sulthan Kharisma Akmal Syafrial Fachri Pane Syafwan Almadani Azra Syiarul Amrullah, Muhammad Taufik Suyanto Vera Suryani Wanda Firdaus Yahya Ermaya Yuda Prasetia Zidni Fahmi Suryandaru