Article Per Year (5 Year)
p-Index From 2020 - 2025
2.782
P-Index
This Author published in this journals
All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) International Journal of Renewable Energy Development Techno.Com: Jurnal Teknologi Informasi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Seminar Nasional Informatika (SEMNASIF) EMITTER International Journal of Engineering Technology Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control KACANEGARA Jurnal Pengabdian pada Masyarakat Krea-TIF: Jurnal Teknik Informatika Building of Informatics, Technology and Science eProceedings of Engineering Jurnal INFOTEL International Journal of Renewable Energy Development
Andrian Rakhmatsyah
Universitas Telkom
Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science

Published : 39 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 39 Documents
Search

 1   2   3   4 
Perancangan Sistem Komunikasi Dan Pengolahan Data Pada Monitoring Kualitas Udara (studi Kasus Campus Air Polution Monitoring Universitas Telkom) Bagus Yoga Permana Putra; Andrian Rakhmatsyah; Sidik Prabowo
eProceedings of Engineering Vol 4, No 2 (2017): Agustus, 2017
Publisher : eProceedings of Engineering

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

Abstract

Di Indonesia terdapat Indeks Standar Pencemaran Udara (ISPU) yang memberi informasi tentang kualitas udara yang ada. Beberapa partikel yang menjadi sumber polusi yaitu Karbon Monoksida (CO), Sulfur Dioksida (SO2), Nitrogen Dioksida (NO2), Ozon Permukaan (O3), Partikel Debu (PM10). Untuk dapat memonitoring kualitas udara tersebut, dibangun prototipe monitoring kualitas udara. Implementasi prototipe monitoring kualitas udara dengan membuat 2 buah station yang berisi sensor MQ-7 sebagai pendeteksi karbon monoksida (CO), sensor MQ-135 pendeteksi karbon dioksida (CO2), sensor SHARP GP2Y1010AU0F sebagai pendeteksi debu, mikrokontroler arduino, dan modul radio NRF24L01 sebagai perangkat komunikasi yang merepresentasikan setiap id station yang ada. Untuk gateway menggunakan Raspberry pi 3 model B. Data yang diperoleh dari sensing sensor dikirim via Wi-fi dan ditampilkan ke dalam dashboard domoticz sebagai dashboard dan database lokal dan freeboard.io sebagai web dashboard yang dapat diakses semua orang. Dari hasil pengujian sistem komunikasi, modul NRF24L01 hanya dapat menerima data maksimal pada jarak 6 meter pada kondisi tak berpenghalang dan 3 meter pada kondisi berpenghalang, hal tersebut dikarenakan sinyal NRF24L01 terganggu oleh jaringan dan sinyal lain yang ada di lokasi. Hasil pengujian nilai kualitas udara rata-rata selama 2 jam di kantin teknik yaitu : CO = 44,28 masuk dalam katergori ISPU BAIK, CO2 = 671,68 masuk dalam kategori pekat dan berbau. Sedangkan di tempat parkir sepeda motor adalah : CO = 51,72 masuk dalam kategori ISPU SEDANG, PM10 = 18,68 masuk dalam kategori ISPU BAIK. Kata kunci : ISPU, sensor, NRF24L01, freeboard.io, domoticz.
Analisis Algoritma Trilateral Termodifikasi dalam Lokalisasi node WSN pada Haji Tracking System Wanda Firdaus; Aji Gautama Putrada Satwiko; Andrian Rakhmatsyah
eProceedings of Engineering Vol 5, No 3 (2018): Desember 2018
Publisher : eProceedings of Engineering

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

Abstract

Abstrak Salah satu rangkaian haji yang harus dilakukan ialah tawaf. Pada tawaf ada beberapa masalah yang muncul. Salah satunya yaitu Jemaah haji yang sering kali bingung tentang keberadaannya dikarenakan tidak adanya tanda khusus yang dipasang ketika tawaf. Oleh karena itu, diusulkanlah sebuah sistem yang dapat mengetahui posisi jemaah haji tersebut dengan bantuan dari anchor node yang sudah memiliki lokasi tetap dan tiap node yang terhubung secara topologi mesh. Untuk melakukan penelitian ini digunakan acuan untuk mengetahui jarak berupa RSSI (Radio Signal Strength Indicator) yaitu pengukuran menggunakan kuat sinyal yang dikirimkan dari satu node menuju node lain. Dan juga pada sistem ini , menggunakan Algoritma Trilateral termodifikasi yang merupakan algoritma localization range-based yang dapat mengestimasikan posisi dari node haji menggunakan kuat sinyal yang dikirim oleh anchor. Algoritma ini memanfaatkan titik singgung yang dihasilkan dari dua lingkaran oleh dua anchor sebagai posisi pada node haji tersebut. Penggunaan RSSI secara indoor dan outdoor juga berbeda. Pengujian sistem ini dilakukan di sekitaran komplek pesona bali pada lapangan yang representatif dengan daerah masjidil haram. Hasil dari pengujian ini berupa pengukuran jarak menggunakan rssi yang memberikan margin error sebesar 7,95%. Pengukuran RSSI secara outdoor menghasilkan rata-rata error sebesar 7,68% dan rata rata pengukuran RSSI secara indoor sebesar 15,43%.Kata kunci : masalah pada tawaf, topologi mesh, algoritma trilateral, dan RSSI. AbstractTawaf is one of the pilgrims sequences that have to be done. In tawaf, there are some problems appear, one of them when the pilgrims felt confused about their positions because there is no extra sign when tawaf. Therefore, we proposed a system which estimate the position of the pilgrim’s node with support from the anchor node that have fixed location and each node connected automatically mesh. For this study, it’s needed the measurement point which can be used to estimate the distance namely RSSI, RSSI is an estimation using signal strength which sensing by each node. In this system also used modified trilateral which is a range-based localization algorithm which can estimate the position of each pilgrim’s node point of two circle on two anchor node as positions for the pilgrim’s node. This testing was done in the representative area of masjidil haram in pesona bali residence. The usage of RSSI give different when it was done as an indoor estimation or an outdoor. The testing result is the distance estimation using rssi with margin error around 7.95%. The outdoor estimation give margin error around 7,68% and the another one have 15,43% margin error.Keywords: tawaf problems, mesh topology, trilateration algorithm, RSSI
Pemodelan Alu Pada Mikroprosesor Mips Menggunakan Redstone Di Minecraft Mazaya Zata Diny; Hilal Hudan Nuha; Andrian Rakhmatsyah
eProceedings of Engineering Vol 6, No 2 (2019): Agustus 2019
Publisher : eProceedings of Engineering

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

Abstract

AbstrakMinecraft bisa digunakan sebagai cara yang menarik untuk menjelaskan dan memvisualisasikan aliranlistrik dalam rangkaian digital. Di Indonesia, Minecraft masih belum banyak digunakan sebagai game yangmemvisualisasikan elektronika digital dengan gerbang logika digital dimana interkoneksi masing-masinggerbang tersebut dapat dikonfigurasi antara satu dengan yang lainnya. Sementara itu, sumber daya yangterdapat pada Minecraft menyimpan potensi yang bisa memadukan antara kreativitas, game danelektronika digital. Penelitian ini membahas tentang penggunakan Minecraft untuk pemodelan ArithmaticLogical Unit (ALU) pada Mikroprosesor. Pemilihan arsitektur ALU yang merupakan salah satu komponenutama di setiap arsitektur mikroprosesor yang akan dimodelkan adalah karena pertimbangan perananALU pada mikroprosesor yang penting untuk membentuk unit pengolahan data di komputer. ALU yangdibangun yaitu arsitektur logika (OR, NOR, AND, NAND, XOR, XNOR) dan arsitektur aritmatika (ADD,SUB). Hasil pemodelan menunjukkan hasil bahwa semua operasi standar ALU berhasil berjalan denganbaik.Kata kunci : Minecraft, Redstone, Arithmatic Logical Unit.AbstractMinecraft can be used as an interesting way to explain and visualize electricity in a digital circuit. InIndonesia, Minecraft is still not widely used as a game that visualizes digital electronics with digital logicgates where interconnection of each gate can be configured with the other gate. Meanwhile, the Minecraft'sresources holds potential that can combine creativity, game and digital electronics. This study discusses theuse of Minecraft for Arithmatic Logical Unit (ALU) modeling on Microprocessors Choosing ALUarchitecture which is one of the main components in each microprocessor architecture that will be modeled.Due to the consideration of ALU's role as the important microprocessors to form data processing units onthe computer. ALU is built on logic architecture (OR, NOR, AND, NAND, XOR, XNOR) and arithmeticarchitecture (ADD, SUB). The modeling results show that all standard ALU operations have beensuccessful.Keyword : Minecraft, Redstone, Arithmatic Logical Unit
Room cleaning robot movement using A* algorithm and imperfect maze Vera Suryani; Kinkin Agustriana; Andrian Rakhmatsyah; Rizka Reza Pahlevi
JURNAL INFOTEL Vol 15 No 1 (2023): February 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i1.901

Abstract

Cleanliness is a mandatory requirement to help prevent virus spread. The cleaning process can be done automatically by humans or robotic devices. If a robot does this process, it is a must that the robot is able to explore the room autonomously. The robot movement in room tracking should reach all points without obstructions and return to its initial position. This study simulated the movement of a room explorer robot using the imperfect maze method, as well as searching a room that has not been explored using the A* algorithm. The A* algorithm was also used to find the shortest path to reach the initial place of the robot when the room exploration was completed. The results of the simulation showed that the imperfect maze could be used to explore the room well, and A* algorithm is quite optimal to be used for searching both the unexplored room and the path to return to its initial position
Monitoring Floating Solar Tracker Based on Axis Coordinates using LoRa Network Abyan Arief Fernandez; Andrian Rakhmatsyah; Aulia Arif Wardana
International Journal of Renewable Energy Development Vol 9, No 2 (2020): July 2020
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.9.2.141-149

Abstract

This research aimed to build a solar tracker for a floating solar panel and used long–range (LoRa) communication to harvest energy and monitor its process. With the rising demand for renewable energy in these recent years especially for solar energy, it needs to meet this demand to remain relevant for the upcoming years where it will have an even larger impact as we shift into clean energy. Monitoring single–axis solar trackers on rural areas difficult and cost–intensive. The purpose of a floating solar farm is to reduce the cost from buying/renting land. Floating solar panels cannot be monitored using wired because they are moving nodes in the water, it makes wired installation complicated. Hence, using wireless sensornetwork is a solution that allowsremote monitoring of floating solar panels in rural areas and makes moving nodes mentioned above possible. Testing wasperformed by sending 100 packets from the node to its gateway using LoRa modulation, and the gateway successfully received about 90% of the packets sent by the node. The vertical single-axis solar tracker used in floating solar managed to get 17% more energy than the fixed solar with a more stable income for the whole duration of sending 100 packets.
Sign Language Translator Based on Raspberry Pi Camera Using The Haar Cascade Classifier Method Aji, Gempur Bayu; Yulianto, Fazmah Arif; Rakhmatsyah, Andrian
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.2990

Abstract

Sign language is the main tool of communication for people with hearing impairments. Communication is very limited and difficult to understand between normal people who do not know sign language, so an interpreter is needed. Where not everyone, even a few normal people, learns sign language, especially the Indonesian Sign Language System (SIBI). Motion Detection is an important subject in the field of computer vision, which is used by many systems. Today's Internet of Things is very helpful and facilitates daily human activities. An internet network allows a device to be controlled from a considerable distance. This study described a sign language translator tool for the deaf and speech impaired using a raspberry-pi camera and displayed it on the other device monitor. This system was built using the Python programming language and the OpenCV Library. The system is using Haar Cascade Classifier algorithm, where there will be data on all hand shapes based on the letters to be translated. This application uses the OpenCV library and Visual Studio Code IDE software connected to the Raspberry Pi Camera. The publisher will send data to other devices using the MQTT Broker to connect and display detection results to other device monitors wirelessly using a local network. The research was conducted at various distances between the hand and the webcam, from 30cm to 150cm. The research results using the Haar Cascade Classifier method to detect sign language obtained an accuracy of 82%.
IT Risk Management dalam Operasional untuk Peningkatan Layanan Informasi Pesanan Yasirandi, Rahmat; Rakhmatsyah, Andrian
Krea-TIF: Jurnal Teknik Informatika Vol 9 No 2 (2021)
Publisher : Fakultas Teknik dan Sains, Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/kreatif.v9i2.5982

Abstract

Seharusnya dampak risiko IT yang timbul pada operasional di sebuah organisasi yang terjadi tidak bisa diabaikan begitu saja. Tak terkecuali yang sering terjadi pada restoran atau kafe. Masalah operasional yang sering ditemui adalah masalah jaminan informasi terkait pelayanan. Karena mempengaruhi tingkat kepercayaan pelanggan terhadap setiap layanan yang diberikan pihak restoran atau kafe. Setelah dilakukan manajemen tersebut, ternyata didapat bahwa kepercayaan pelanggan terkait jaminan informasi dapat diturunkan lagi menjadi 2 problems research yaitu terkait informasi yang pasti mengenai informasi status layanan, dan yang kedua terkait informasi seberapa cepat layanan yang akan pelanggan dapatkan. Sehingga di rancanglah sebuah sistem layanan informasi pesanan yang dapat menjamin kepercayaan pelanggan akan layanan informasi untuk setiap prosesnya. sehingga restoran akhirnya dapat mengurangi risiko yang dapat terjadi pada operasionalnya. Dari hasil mitigasi telah menghasilkan evaluasi bahwa risiko R2, R3, R4, R5, R6, dan R7 telah berhasil di mitigasi dengan hasil Eliminate. Dan untuk R1 dengan hasil Reduce. Dari hasil ini disimpulkan bahwa sistem yang diusulkan sebagai sebuah mitigation action plan telah terbukti dapat memitigasi risiko operasional terkait proses pesanan.
Pengenalan Kode Semaphore Berbasis Raspberry Pi Menggunakan Metode CNN Alfarezi, Muhammad; Yulianto, Fazmah Arif; Rakhmatsyah , Andrian
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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

Abstract

Abstrak - Sandi Semaphore merupakan sebuah metodekomunikasi dengan cara mengirim sinyal menggunakan alatsederhana seperti bendera dan gerak tubuh. Namun dalamproses pembelajarannya, sandi semaphore mengalami kendalaterkait minat dan ketertarikan siswa dalam mempelajari sanditersebut. Penelitian ini bertujuan untuk menerapkan sebuahmodel Semaphore Code Recognition demi meningkatkan minatserta ketertarikan siswa dan masyarakat dalam mempelajarisandi semaphore. Sebuah model Semaphore Code Recognitionmenggunakan Raspberry Pi mikrokontroller, ConvolutionalNeural Network (CNN), OpenCV (Open Source ComputerVision) dan Library MediaPipe ditujukan sebagai sebuah mediasarana baru bagi siswa dalam mempelajari sandi semaphore.Pengambilan gambar pada sistem ini tampak dari depanmenggunakan Webcam yang terhubung ke Rasberry PI.Tujuan dengan dibangunnya model ini dapat meningkatkanminat belajar bagi siswa Kata kunci— Bendera Semaphore, Raspberry Pi, CNN,OpenCV, mikrokontroller
Performance Comparison of YOLOv8 and DETR in White Blood Cell Detection Rakhmatsyah, Andrian; Abdurohman, Maman; Erfianto, Bayu; Prihatni, Delita
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6864

Abstract

Automated detection and classification of white blood cells (WBCs) from microscopic images play a vital role in supporting the diagnosis of hematological diseases. Accurate and robust object detection algorithms are essential for handling interclass similarities and imbalanced datasets. This study aims to evaluate and compare the performance of two modern object detection algorithms—Detection Transformer (DeTR) and YOLOv8—in performing multiclass WBC classification using public datasets from various sources with diverse visual characteristics. Five experimental scenarios were designed based on varying class distributions and data augmentation techniques, including horizontal/vertical flipping and random rotation. Both methods were trained and evaluated on the same dataset partitions, and their performances were assessed using the following standard metrics: precision, recall, and F1-score for each WBC class. The results show that YOLOv8 consistently achieved superior and more stable performance across all scenarios, with average F1-scores close to 1.00 even in augmented and imbalanced conditions. In contrast, DeTR performed competitively in balanced scenarios but showed lower consistency, particularly in classes such as Neutrophil and Monocyte. Data augmentation positively affected both models, although the gains were more prominent in YOLOv8. This study highlights the strong potential of YOLOv8 in real-time WBC classification tasks and presents DeTR as a viable yet less-optimized approach for this application. These findings contribute to the advancement of medical image-based object detection and offer valuable insights into the selection of appropriate algorithms for hematological image analysis
Co-Authors Abdillah, Hilal Nabil Abyan Arief Fernandez Agus Eko Minarno Aji Gautama Putrada Aji, Gempur Bayu Alfarezi, Muhammad Alifudin, Ridhwan Anbiya, Dhika Rizki Arief Anshori Ariq Musyaffa Ramadhani AULIA ARIF WARDANA Bagus Yoga Permana Putra Bayu Erfianto Catur Wirawan Wijiutomo Danaswara Prawira Harja Dea Gannyaldi W. Dhoni Satriyo Prayogo Endro Ariyanto Faiz Syukri Farisah Adilia Fauzan Ramadhan Sudarmawan Fazmah Arif Y, Fazmah Fazmah Arif Yulianto Fernandez, Abyan Arief Gentur Cipto Tri Atmaja Hamman Aryo Bimmo Hilal Hudan Nuha Irma Yunita Masturi Kinkin Agustriana Luthfi Kusuma M. Deta Gian Faiz Maman Abdurohman Marnisa Ramdani Mazaya Zata Dini Mazaya Zata Diny Misioner Eman T. B. Mohammad Gilang Al Faritsy Muhammad Adna Pradana Muhammad Arief Nugroho Muhammad Syahrial Rukmana Novian Anggis Suwastika Pahlevi , Rizka Reza Pradana, Muhammad Adna Prihatni, Delita R. Ismoyojati R. Ismoyojati Rahmat Yasirandi Ridhwan Alifudin Sidik Prabowo Thirafi Wian Anugrah Vera Suryani Wanda Firdaus Yan Detha Shandy Vandapperen Yuda Prasetia