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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

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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

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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
Pembelajaran interaktif melalui game edukatif selama masa pandemi di TK AL Ghifari Bandung Suryani, Vera; Erfianto, Bayu; Rakhmatsyah, Andrian; Yulianto, Fazmah Arif
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 5, No 1 (2022): Januari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v5i1.979

Abstract

Kurikulum sekolah TK meliputi aspek motorik,maupun kognitif bagi anak usia pra-sekolah. Pembelajaran daring selama pandemi membuat anak cepat bosan, karena masa konsentrasi mereka belum bisa lama seperti halnya orang dewasa. Dibutuhkan perangkat bantu agar penyampaian materi lebih menarik dan tidak membosankan. Permainan merupakan salah satu cara penyampaian materi agar anak TK dapat belajar secara menyenangkan. Game edukatif merupakan perangkat bantu yang bersifat menarik bagi anak TK, dan melalui game ini materi pembelajaran dapat disampaikan secara menarik. Tujuan kegiatan pengabdian masyarakat ini ialah melakukan penyuluhan kepada guru PAUD TK Al-Ghifari Sukabirus mengenai cara penyampaian materi pembelajaran melalui game edukatif, serta pelatihan kepada anak TK mengenai cara penggunaan game edukatif tersebut. Game edukatif bertujuan untuk meningkatkan motivasi belajar melalui story telling, peningkatan konsentrasi, serta aspek computational thinking untuk usia pra-sekolah. Dari hasil pelaksanaan kegiatan pengabdian masyarakat di TK Al Ghifari Bandung di dapatkan bahwa perangkat dan modul pembelajaran yang diberikan sangat membantu proses belajar mengajar di TK Al Ghifari. Poin utama yang disasar adalah aspek motivasi dan konsentrasi anak usia TK.
Mastitis Detection System in Dairy Cow Milk based on Fuzzy Inference System using Electrical Conductivity and Power of Hydrogen Sensor Value Muhammad Syahrial Rukmana; Andrian Rakhmatsyah; Wardana, Aulia Arif
EMITTER International Journal of Engineering Technology Vol 9 No 1 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i1.592

Abstract

This study build a system for screening method to detect mastitis in dairy cow milk using Electrical Conductivity (EC) and Power of Hydrogen (pH) sensor. The value of EC and pH sensor is analyze using fuzzy logic to clarify the truth value between it. Mastitis in cows can cause loss and decrease milk production and quality in the dairy farmer industry. Currently, detecting mastitis in cow’s milk still done manually by looking at the color change of the milk and analyzing the cow behavior. This paper has designed a mastitis detection system using the Mamdani type fuzzy inference system and the final result will be displayed on an Android-based smartphone. From the test result, it was found that the system has 79.2% detection accuracy value. This system is suitable for alternative screening method that used to detect mastitis in dairy cow milk.
Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic Mazaya Zata Dini; Andrian Rakhmatsyah; Aulia Arif Wardana
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.22139

Abstract

This study made the digital system to perform screening (early prediction) of Hypoxemia using MAX30102 sensor with the fuzzy value from SpO2 level and heart rate. This research also uses the Internet of Things (IoT) system to gather data from devices to the cloud. Hypoxemia is a lack of oxygen in the blood flowing in the body. Hypoxemia conditions in the body due to lack of oxygen levels in the blood will cause an increased heart rate. Hypoxemia conditions that are not immediately recognized cause damage to cells, tissues, and organs. Hypoxemia is an essential condition because information about oxygen levels in the blood is closely related to health conditions. In this project, researchers built a Hypoxemia early detection system. From the research results, it is found that the accuracy rate of the system to detect hypoxemia is 80%, with 60% sensitivity and 100% specificity. Based on the experiment, this research is able to help screening detection (early prediction) of Hypoxemia.
Performance Comparison of YOLOv8 and DETR in White Blood Cell Detection Andrian Rakhmatsyah; Maman Abdurohman; Bayu Erfianto; Delita Prihatni
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
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. Delita Prihatni Dhoni Satriyo Prayogo Endro Ariyanto Faiz Syukri Farisah Adilia Fauzan Ramadhan Fazmah Arif Y, Fazmah 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 R. Ismoyojati R. Ismoyojati Rahmat Yasirandi Ridhwan Alifudin Sidik Prabowo Thirafi Wian Anugrah Vera Suryani Wanda Firdaus Yan Detha Shandy Vandapperen Yuda Prasetia