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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Penelitian Pendidikan Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika MULTINETICS Jurnal Teknik Informatika (JUTIF) Charity : Jurnal Pengabdian Masyarakat eProceedings of Engineering Jurnal INFOTEL
Favian Dewanta
Universitas Telkom
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences

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Analisis Quality of Service Modul NRF24L01 pada Sistem Stasiun Cuaca Lokal Loudry Achmad Tiransri; Favian Dewanta; Hilal Hudan Nuha
TELKA - Jurnal Telekomunikasi, Elektronika, Komputasi dan Kontrol Vol 9, No 1 (2023): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v9n1.44-51

Abstract

Internet of Things sering dimanfaatkan untuk menggantikan pekerjaan manusia secara otomatis, salah satu contohnya adalah sistem stasiun cuaca lokal. Stasiun cuaca lokal sering kali digunakan untuk melakukan pengamatan dan pendeteksian cuaca di kawasan rawan bencana yang belum terjangkau oleh jaringan internet. Sehingga pembuatan sistem stasiun cuaca lokal sering menggunakan modul pengiriman data secara nirkabel sebagai hub yang menghubungkan gateway jaringan dengan perangkat yang berada jauh di lapangan. Salah satu modul pengiriman secara nirkabel tersebut adalah modul NRF24L01 yang merupakan modul Wireless Personal Area Networks (WPAN) dengan daya kecil tetapi memiliki kecepatan pengiriman data yang tinggi. Sehingga pada penelitian ini penulis mengimplementasikan modul NRF24L01 pada sistem stasiun cuaca lokal dan melakukan analisis Quality of Service (QoS) dari komunikasi tersebut. Eksperimen dilakukan dengan cara pengiriman informasi dari transmitter menuju receiver yang bergerak bebas pada jarak tertentu dan kondisi kanal tertentu yang merepresentasikan LOS dan non-LOS. Selanjutnya, perhitungan quality of service (QoS) dari komunikasi antar modul NRF24L01 tersebut dilakukan dengan menggunakan metode Best Effort Service, dengan nilai packet loss sebesar 21,67% pada jarak pengiriman efektif yang kurang dari 300 meter dan kanal yang bersifat LOS, serta nilai packet loss sebesar 4,55% pada jarak pengiriman efektif yang kurang dari 70 meter dan kanal yang bersifat non-LOS. The Internet of Things is often used to replace human work automatically; one example is a local weather station system. Local weather stations often observe and detect weather in potential disaster areas the internet network has not reached. So, creating a local weather station system often uses wireless modules as a hub that connects the network gateway with devices far in the field. One of the wireless modules is the NRF24L01 module, a Wireless Personal Area Networks (WPAN) module with a small power but high data-sending speed. So in this study, the author implements the NRF24L01 module on the local weather station system and conducts a Quality of Service (QOS) analysis of the communication. The experiment was carried out by sending information from the transmitter to the receiver that moved freely at a certain distance and certain canal conditions representing LOS and Non-LOS. Furthermore, the calculation of the Quality of Service (QOS) of communication between the NRF24L01 module is carried out using the Best Effort Service method, with a loss packet value of 21.67% at an effective transmission distance of fewer than 300 meters and a LOS channel, and packet value Loss of 4.55% at an effective transmission distance of fewer than 70 meters and a non-LOS channel.
Analisis QoS Pengaplikasian Network Slicing Pada Topologi Abilene Jaringan SDN Menggunakan FlowVisor Dan POX Controller Fadly Firmansyah Putra; Favian Dewanta; Sofia Naning Hertiana
MULTINETICS Vol. 9 No. 1 (2023): MULTINETICS Mei (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v9i1.5498

Abstract

Software Defined Network (SDN) is a new paradigm in computer networks that separates the data plane and the control plane. With this separation, network configuration will be easier to do, not as complicated as conventional networks. This research discusses how to implement the network slicing method using FlowVisor on the SDN network with POX as the controller. Network slicing allows each network slice to be designed to guarantee different levels of network performance. The emulator used to design the topology as well as the data plane is Mininet. The results of this researchs indicate that FlowVisor can isolate flowspace for each slice on the SDN network based on the TCP port that is passed when communication occurs between hosts. Comparison of SDN networks without using the network slicing method with SDN networks using the network slicing method produces values that are not much significant, but the QoS parameter values are better on SDN networks without network slicing. Throughput on 1 Mbps link bandwidth is 0.8 Mbps, slow slice 0.79 Mbps, on 10 Mbps link bandwidth is 7.4 Mbps, fast slice is 6.6 Mbps. Delay on 1 Mbps link bandwidth is 1.361 ms, slow slice 1.389 ms, on 10 Mbps link bandwidth 0.155 ms, fast slice 0.2426 ms. Jitter on 1 Mbps link bandwidth is 0.000283 ms, slow slice 0.000257 ms, on 10 Mbps link bandwidth 0.0000304 ms, fast slice is 0.0000347 ms.
IMPLEMENTASI DAN ANALISIS MIGRASI DATA LMS PADA KLASTER KUBERNETES ANTAR-PUBLIC CLOUD MENGGUNAKAN BACKUP DAN RESTORE Adimas Fachri Ranunegoro; Favian Dewanta; Bagus Aditya
MULTINETICS Vol. 9 No. 1 (2023): MULTINETICS Mei (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v9i1.5556

Abstract

Moodle is one of the media for learning management systems that are widely used today because non-face-to-face learning is unavoidable. Fluctuating user traffic makes moodle suitable for deployment to a public cloud. Public clouds are easier to scale, especially when combined with a container orchestrator such as Kubernetes. However, there are times when it is necessary to migrate data on a Kubernetes cluster from a public cloud to another public cloud to mitigate disasters in a specific region in the public cloud. Moodle applications can be routed to different regions, but this will cause high latency. This problem can be solved by migrating the Kubernetes cluster on Google Cloud to the same region on Microsoft Azure as an alternative public cloud. This final project will discuss the migration of a kubernetes cluster along with persistent volume data between public clouds from Google Cloud Platform to Microsoft Azure and vice versa using backup and restore methods. Velero is used as a backup and restore tool, then the restic plugin is added so that Velero can also backup and restore persistent volumes located outside the Kubernetes cluster. The test results show that Velero with the restic plugin can backup and restore persistent volumes outside the cluster. The larger the data size, the longer the backup, restore, and migration time will be. Backup and restore time for each incremental size of approximately 500 MB will increase the backup and restore time by approximately 10 seconds. Meanwhile, on the utility side, the amount of CPU usage during restore consumes more resources than when backup. At the time of backup, the maximum CPU spike was 3.5% at 3 GB data size in both public cloud clusters. Meanwhile, at the time of restore, the maximum CPU spike is 5% at 3 GB of data size.
Construction of cardiac arrhythmia prediction model using deep learning and gradient boosting Dhanar Bintang Pratama; Favian Dewanta; Syamsul Rizal
JURNAL INFOTEL Vol 13 No 3 (2021): August 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i3.683

Abstract

Arrhythmia is a condition in which the rhythm of heartbeat becomes irregular. This condition in extreme cases can lead to fatal heart attack accidents. In order to reduce heart attack risk, appropriate early treatments should be conducted right after getting results of Arrhythmia condition, which is generated by electrocardiography ECG tools. However, reading ECG results should be done by qualified medical staff in order to diagnose the existence of arrhythmia accurately. This paper proposes a deep learning algorithm method to classify and detect the existence of arrhythmia from ECG reading. Our proposed method relies on Convolutional Neural Network (CNN) to extract feature from a single lead ECG signal and also Gradient Boosting algorithm to predict the final outcome of single lead ECG reading. This method achieved the accuracy of 96.18% and minimized the number of parameters used in CNN Layer.
All-in-one computation vs computational-offloading approaches: a performance evaluation of object detection strategies on android mobile devices Muhammad Abdullah Rasyad; Favian Dewanta; Sri Astuti
JURNAL INFOTEL Vol 13 No 4 (2021): November 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i4.700

Abstract

Object detection gives a computer ability to classify objects in an image or video. However, high specified devices are needed to get a good performance. To enable devices with low specifications performs better, one way is offloading the computation process from a device with a low specification to another device with better specifications. This paper investigates the performance of object detection strategies on all-in-one Android mobile phone computation versus Android mobile phone computation with computational offloading on Nvidia Jetson Nano. The experiment carries out the video surveillance from the Android mobile phone with two scenarios, all-in-one object detection computation in a single Android device and decoupled object detection computation between an Android device and an Nvidia Jetson Nano. Android applications send video input for object detection using RTSP/RTMP streaming protocol and received by Nvidia Jetson Nano which acts as an RTSP/RTMP server. Then, the output of object detection is sent back to the Android device for being displayed to the user. The results show that the android device Huawei Y7 Pro with an average FPS performance of 1.82 and an average computing speed of 552 ms significantly improves when working with the Nvidia Jetson Nano, the average FPS becomes ten and the average computing speed becomes 95 ms. It means decoupling object detection computation between an Android device and an Nvidia Jetson Nano using the system provided in this paper successfully improves the detection speed performance.
A study of secure communication scheme in MQTT: TLS vs AES cryptography Favian Dewanta; Baiq Yuniar Yustiarini; Bangun Indrakusumo Radityo Harsritanto
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.807

Abstract

The Internet of Things (IoT) technology requires low latency communications. One of the lightweight protocols in the IoT is the MQTT protocol. However, the MQTT protocol is not equipped with the appropriate security mechanism. As a consequence, the MQTT messages are easily eavesdropped and modified by the attackers. This research studies the use of AES cryptography-based communication scheme against the TLS-based communication scheme, which can be used to create end-to-end secure communication channels from the MQTT publishers to the MQTT subscribers. Experimental results show that the TLS-based communication scheme possess the highest cost in terms of communication delay and network cost among all schemes in the experiment. Eventually, the AES-based MQTT communication scheme is more appropriate for IoT environments because of its communication delay and network cost, which are considerably equal to the plaintext-based MQTT communications.
Perancangan dan Implementasi Blockchain pada Sistem Electronic Medical Record Berbasis Website Vicha Octavia Dewanto Putri; Favian Dewanta; Arif Indra Irawan
eProceedings of Engineering Vol 10, No 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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Abstract

Umumnya sistem penyimpanan rekam medispasien pada rumah sakit menggunakan sistem penyimpanan datamanual atau data terpusat. Hal itu rentan mengalami kekeliruandata sehingga mengakibatkan server down atau hilangnya suatudata karena tidak adanya backup. Oleh karena itu, penulismelakukan penelitian dengan menerapkan sistem databaseblockchain pada sistem penyimpanan rekam medis, dimana dataakan disimpan secara desentralisasi dan terdistribusi keseluruhnode yang terdaftar di dalam jaringan. Saat terjad kegagalansistem pada salah satu node, tidak akan mempengaruhi sistempada node lainnya.Dalam skema penelitian kali ini penulis menggunakanframework Ethereum dan menggunakan webserver sebagai userinterface penginputan data. Pembuatan sistem private blockchaindengan konsensus Proof-of-Work (PoW) denganmenghubungkan sistem satu pada node 1 dan sistem dua padanode II. Menggunakan postman sebagai tempat testing untukakurasi yang lebih maksimal.Hasil pengujian menunjukkan bahwa sistem blockchaindengan konsensus Proof-of-Work (PoW) membutuhkan waktuyang cukup lama untuk mengambil data dibanding dengandatabase konvensional postgresql. Database konvensional lebihefektif dalam penanganan set atau add data dikarenakan tidakmengharuskan melewati proses mining data dan diharuskanmelewati verifikasi tanda tangan, mekanisme konsensus danredundansi. Sistem blockchain tetap menerima dan menampungdata inputan meskipun hanya satu node yang berjalan.Kata kunci— Blockchain, Proof-of-Work, Electronic MedicalRecord
Analisis Perilaku Malware Malware Menggunakan Metode Analisis Dinamis Khalif Ibrahim; Favian Dewanta; Niken Dwi Wahyu Cahyani
eProceedings of Engineering Vol 10, No 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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Abstract

Malware merupakan sebuah perangkat lunakatau software yang diciptakan untuk menyusup atau merusaksistem komputer. Penyebaran malware saat ini begitu mudahbaik melalui iklan-iklan tertentu pada website, USB flashdrive,dan media lainnya. Semuanya sangat erat kaitannya dengantindak kejahatan seperti pencurian file, internet banking, kartukredit dan lain sebagainya. Berkaitan dengan hal tersebut, adasuatu bidang yang menangani tindak kejahatan yaitu forensikdigital. Salah satu tahapan dalam forensik digital yaitumelakukan analisis terhadap barang bukti digital, dalam hal iniadalah malware. Untuk membuktikan suatu softwaredikatakan malware adalah dengan mengetahui cara kerjaprogram tersebut pada sistem komputer. Metode pengujianmalware dengan analisis dinamis merupakan metode yangpaling akurat untuk menganalisa cara kerja malware. PadaTugas Akhir ini, digunakan metode Malware Analisis Dinamismelalui pengujian Regshot dan Wireshark untuk menganalisa 6sample malware yang tersedia, yaitu Poison Ivy, Gen VariantJohnnie 97338, Trojan GenericKD 40427213,Dropped:Trojan.AgentWDCR. PZW, 32.Trojan.Raasmd.Autodan Gen:Variant.Strictor.171520. Dari pengujian tersebutdiperoleh hasil melalui metode Regshot terdapat perubahanRegistry terbanyak oleh malwareDropped:Trojan.AgentWDCR.PZW yaitu 163 Registry.Sedangkan dalam Metode Wireshark, malware yangmengirimkan protocol paling banyak adalahGen:Variant.Strictor.171520 sebanyak 1998 protocol.Kata kunci— Forensik Digital; Analisis Malware; DynamicAnalysis; Trojan; Gen; Poison Ivy; Wireshark; Regshot;Protocol.
Pembuatan Dataset Benih Padi Varietas Ciherang Berbasis Sistem Pengolahan Citra Balqis Hasna Salsabila; Favian Dewanta; Hilal Hudan Nuha
eProceedings of Engineering Vol 10, No 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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Abstract

Padi menjadi salah satu bahan pokok masyarakatyang terus mengalami peningkatan tiap tahunnya. Peningkatantersebut akan menimbulkan dampak bagi para petani lokaluntuk menghasilkan kualitas padi yang baik. Pernyataan di atasmembuat Balai Pengawasan dan Sertifikasi Benih TanamanPangan dan Holtikultura (BPSBTPH) terdorong untukmeningkatkan produktivitas dan kualitas industri padi diIndonesia terkhusus di Jawa Barat, dengan cara dapatmengklasifikasikan kualitas benih baik dan tidak baik. Namunsebelumnya, BPSBTPH memerlukan sebuah dataset yangnantinya akan digunakan untuk menjadi data acuan terhadapklasifikasi benih. Pembuatan dataset ini diharapkan dapatmemudahkan BPSBTPH unuk melakukan deteksi danklasifikasi benih. Untuk penelitian selanjutnya diharapkanpengembangan sebuah aplikasi klasifikasi benih.Pada tugas akhir ini, peneliti menggunakan metodeOpen Computer Vision (OpenCV) untuk mendukung sistemdeteksi dalam membuat dataset pada tanaman padi. Sistem inibekerja dengan memanfaatkan image processing menggunakanbahasa pemrograman Python. Kemudian dilakukan pengujiansecara bertahap seperti tahap brightness contrast, boundingbox, dan cropping gambar. Hasil dari pengujian berupa gambarper benih yang akan disimpan ke dalam Google Drive sebagaidatabase.Kata Kunci-- Benih padi, Pengukuran Objek PerkembanganBenih, Pengolahan Citra.
Implementasi API Pada Aplikasi Belajar Berbicara Bahasa Indonesia Untuk Anak Down Syndrome Berbasis Mobile Nurislami, Rifky Nudhar; Dewanta, Favian; Hendryanti, Retno
eProceedings of Engineering Vol. 12 No. 3 (2025): Juni 2025
Publisher : eProceedings of Engineering

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Abstract

Anak-anak dengan down syndrome seringkalimenghadapi tantangan dalam berkomunikasi akibat kesulitandalam artikulasi, pemahaman kosakata, dan tata bahasa, yangdapat menghambat interaksi sosial dan perkembanganakademik mereka. Terapi wicara, penggunaan teknologi asistif,serta metode pembelajaran berbasis visual dan interaktifmenjadi solusi untuk meningkatkan keterampilan komunikasianak down syndrome. Penelitian ini bertujuan untukmengembangkan aplikasi mobile berbasis teknologi pengenalansuara dan machine learning sebagai upaya meningkatkankemampuan berbicara anak-anak dengan down syndrome.Aplikasi ini dirancang untuk memberikan pengalamanpembelajaran interaktif dengan kombinasi elemen audio danvisual yang disesuaikan dengan kebutuhan individu pengguna,serta memberikan umpan balik real-time untuk membantumereka belajar secara mandiri. Hasil pengujian menunjukkanbahwa aplikasi ini mampu mendukung proses latihan berbicaraanak dengan performa API yang optimal pada kondisi serveraktif, ditunjukkan oleh waktu respons singkat, throughput yangstabil, serta latensi yang rendah. Pengembangan aplikasi inidiharapkan dapat memberikan kontribusi positif dalammeningkatkan kemampuan komunikasi anak-anak dengandown syndrome, sehingga mereka dapat lebih mandiri danpercaya diri dalam berinteraksi dengan lingkungan sekitar. Kata kunci — Aplikasi berbasis mobile, Down syndrome,Belajar berbicara, Pengenalan kata dan frasa dasar, Latihanpelafalan.
Co-Authors Adhirajasa, Radhiyya Putra Adi Nugroho Adimas Fachri Ranunegoro Aditya Karyadi Kusuma Ahmad Tri Hanuranto Angga Rusdinar Anita Rosdina Nasution Arif Indra Irawan AULIA ARIF WARDANA Bagus Aditya Bagus Aditya Baiq Yuniar Yustiarini Balqis Hasna Salsabila Barends, Julian Kevin Danang Triantoro Murdiansyah Daniel Perdana Putra Purwiko Deny Kurniawan Devi Pratami Dhanar Bintang Pratama Dhea Dearly Herman Dimas, I Gusti Ngurah Bagus Doan Perdana Dong-Sung Kim Evander Alfa Bahana Fadly Firmansyah Putra Fajrin, Alvin Nur Farah Afianti Hanif, Nasywan Harsritanto, Bangun Indrakusumo Radityo Hilal Hudan Nuha Hilman Fauzi, Hilman Ika Arum Puspita Istikmal Izzulhaq, Muhammad Hilmi Kautsar , Rifki Ikbar Khalif Ibrahim Litasari Widyastuti, Litasari Loudry Achmad Tiransri Mabruroh, Anggun Mugi Manalu, Jesseline Regina Muhammad Abdillah Muhammad Abdullah Rasyad Muhammad Bagas Arya Darmawan Muhammad Hafiz Amrullah Muhammad Zuhairi Nasution, Muhammad Surya Alghifary Niken Dwi Wahyu Cahyani Nuha, Hilal H Nurislami, Rifky Nudhar Nurul Ikhsan Nyoman Bogi Aditya Karna Parulian, Christian Antonius Puji Dwika Pradana Putri Ayu Rezeki Raffinaldy, Muhammad Zaky Rendy Munadi Retno Hendryanti Reza Rendian Septiawan Ridha Muldina Negara Rissa Mellani Nur Wulandari Rizky, Muhamad Wildan Salma Salma Saputra, Maulana Reza Sitepu, Dharma Agung Sofia Naning Hertiana Sri Astuti Subagyo, Lutfi Bramantio Sussi Syamsul Rizal Tarigan , Jesikapna Kristina Br Umar Ali Ahmad Vicha Octavia Dewanto Putri Wardana, Fareza Arya Winda Ezranata Putri ZK Abdurahman Baizal