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All Journal International Journal of Electrical and Computer Engineering Jurnal Sains dan Teknologi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JTERA (Jurnal Teknologi Rekayasa) CYBERNETICS Jurnal Sistem Cerdas Jurnal Teknologi Terapan JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Industrial Research Workshop and National Seminar
Susetyo Bagas Bhaskoro
Politeknik Manufaktur Bandung
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Identifikasi Parameter Webometrics dengan SEO Link Building pada Situs Perguruan tinggi Vokasi Indonesia Ega Mardoyo; Susetyo Bagas Bhaskoro; Muharman Lubis
CYBERNETICS Vol 6, No 01 (2022): CYBERNETICS
Publisher : Universitas Muhammadiyah Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/cbn.v6i01.4039

Abstract

Situs Pemeringkatan Webometrics merupakan salah satu yang cukup berpengaruh bagi kredibilitas suatu Perguruan Tinggi. Pemeringkatan ini menjadi sesuatu hal yang menarik untuk mengetahui bagaimana kinerja sebuah situs di setiap Perguruan Tinggi. Webometrics melakukan pemeringkatan Perguruan tinggi 2 kali dalam setahun berdasarkan indikator yang telah ditentukan. Pada September Tahun 2021, webometrics melakukan perubahan indikator penilaian menjadi 3 indikator yaitu Visibility, Transparency (or Openess) dan Excellence (or Scholar). SEO (Search Engine Optimization) Link Building sendiri merupakan suatu metode yang bertujuan untuk meningkatan posisi ranking pada Search Engine seperti Google, Bing dan Yahoo. Pada penelitian ini akan diuraikan klasifikasi metode baru Webometrics terkait pemeringkatan 5 (lima) perguruan tinggi vokasi yaitu Politeknik Elektronika Negeri Surabaya, Politeknik Negeri Ujung Pandang, Politeknik Negeri Batam, Politeknik Manufaktur Bandung dan Politeknik Negeri Bandung dengan SEO Link Building dan tindak lanjut sebagai upaya peningkatan pemeringkatan Webometrics dan juga dalam Search Engine.
Otomatisasi Sistem Bendung menggunakan Metode Backpropagation untuk Mengatur Debit Air berbasis Internet of Thing Ridwan Ridwan; Maulana Hakim Swistiawan; Susetyo Bagas Bhaskoro
Jurnal Teknologi dan Rekayasa Manufaktur Vol 3 No 2 (2021): Vol 3 No 2 (2021): Volume: 3 | Nomor: 2 | Oktober 2021
Publisher : Pusat Pengembangan, Penelitian dan Pengabdian kepada Masyarat (P4M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v3i2.67

Abstract

Weir is a controlling and monitoring tool of all water governance and also as an anticipation of flooding. The weir is used to address the amount of water discharge that potentially creates flooding in an area. Flooding occurs with high rainfall, with high bulk resulting in the water height of the weir steadily increasing drastically. The design of the overview was developed into two parts, Namely the Internet of Thing-based monitoring system using smartphones and controlling debit by moving the water door. To move the water door is based on the water height and calculate the discharge of the outgoing water. The controller as the main controller to separate the data to compute the prediction and run the water door opening control algorithm. The architecture of a synthetic neural network 5-8-1 which uses a hidden layer of eight nodes and one output. The Backpropagation method can classify the floodgates with an accuracy value of 91.78% in the training process. In testing results resulted in an error value of 12.98%.
Rancang Bangun Penghitung Jumlah Orang dalam Suatu Ruangan menggunakan Protokol MQTT pada Internet of Things berbasis Raspberry Pi Fitria Suryatini; Afaf Fadhil Rifai; Susetyo Bagas Bhaskoro
Prosiding Industrial Research Workshop and National Seminar Vol 12 (2021): Prosiding 12th Industrial Research Workshop and National Seminar (IRWNS)
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.026 KB) | DOI: 10.35313/irwns.v12i0.2655

Abstract

Rancang Bangun Penghitung Jumlah Orang dalam Suatu Ruangan menggunakan Protokol MQTT pada Internet of Things berbasis Raspberry Pi
PERBANDINGAN PERFORMANSI LATENCY PROTOKOL KOMUNIKASI HTTP DAN MQTT PADA INTERNET OF THINGS Susetyo Bagas Bhaskoro; Hadi Supriyanto; Berlian Bayu Aji; Budi Pamungkas
Jurnal Teknologi Terapan Vol 8, No 2 (2022): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v8i2.309

Abstract

The objective of this study is to compare the performance (latency parameter) of HTTP and MQTT protocols. The latency parameter is the difference in time for a packet being transmitted and received. The tests are distinguished on different days and times. The results obtained are that the MQTT is better than HTTP. The results of the comparison values three times in a row are as follows: 46.6ms, 52.3ms, and 50.2ms
Evaluasi Virtual Reality Menggunakan Technology Acceptance Model (TAM) Terkait Dunia Metaverse Ega Mardoyo; Muharman Lubis; Susetyo Bagas Bhaskoro
Jurnal Sistem Cerdas Vol. 5 No. 3 (2022)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v5i3.250

Abstract

Abstract - Digital disruption makes innovation and transformational sustainable in the digital world. The Industrial Revolution 4.0 has changed the face of the new digital era with a diverse foundation of new and advanced technologies in it. According to Geissbauer (2016) there are 10 technologies that are the foundation of Industrial Revolution 4.0 i.e. mobile devices, IoT platforms, location detection technologies, advanced human machine interfaces, automation & Fraud Detection, 3D manufacturing, smart sensors, big data analytics & advanced algorithms, Multilever customer interaction and customer profiling, Augmented Reality / wearables / immersive technologies, cloud computing. Virtual Reality as one of the technological foundations in the Industrial Revolution 4.0 has grown rapidly along with the term ‘Metaverse’ echoed by Mark Zuckerberg CEO of Facebook in October 2021. Metaverse itself is identified as a virtual world where all human activities can be done in it. Virtual Reality as one of the components of the Metaverse is an attraction for the industry to start this technology, especially in exhibition activities (Expo). Virtual Reality Expo for SME is one of the important foundations regarding user understanding regarding the introduction of Virtual Reality technology. Therefore, as an advanced technology that is currently rampant, the author conducts research on Virtual Reality Expo using the technology Acceptance Model (TAM).
Sistem Keamanan Kartu NFC Menggunakan Metode AES pada Sistem Pembayaran Elektronik Bhaskoro, Susetyo Bagas; Anggraeni, Pipit; Nijam, E. Nashrul
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.326

Abstract

To maintain data security, a method is needed that can improve data security, one of which is by using cryptographic techniques. In an effort to meet the needs of data security, cryptography focuses on understanding and applying techniques to protect messages. There are several methods used in cryptography, one of which is the AES method which is recognized as the best encryption algorithm for several reasons, such as using a sufficiently secure key, high processing speed, and ensuring data integrity and confidentiality. In this study, the AES method is used to secure data in the form of nominal balances stored on NFC cards. Based on the test results, it can be seen that the NFC card can function as a balance storage with a maximum limit of IDR 1,000,000. Then based on the confusion matrix method, the security system on the NFC card has an accuracy value of 81,81%, 83.3% precision, and 93,75% recall.
Sistem Identifikasi Manusia Bergerak Jatuh Berdasarkan Ekstraksi Suara dan Citra Susetyo Bagas Bhaskoro; Salsabillah, Eugenia Angela; Afaf Fadhil Rifa'i
JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Vol 4 No 2 (2022): Volume: 4 | Nomor: 2 | Oktober 2022
Publisher : Pusat Penelitian, Pengembangan, dan Pemberdayaan Masyarakat (P4M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v4i2.94

Abstract

Falls are a major health problem around the world, especially in the world of healthcare because patient falls are the top worst problem that continues to occur. Most patients who fall out of bed are not witnessed. This is exacerbated by the various health problems that can result from falling. Remaining on the floor after a fall can cause trauma, serious injury and even death. Therefore, a fall detection system is needed so that people who fall can be given immediate help before they cause serious health problems. So in this study, we will create a fall identification system based on sound and image using the MFCC (Mel-Frequency Cepstrum Coefficients) method for sound extraction and LVQ (Learning Vector Quantization) for classification. Image processing using CNN (Convolutional Neural Network) method. In this system, both do not work together, but image processing works after sound processing. The system is able to detect falls with an overall accuracy of 93.3% for 15 times of sound and image processing tests.
Sistem Identifikasi Jumlah Produk Berbasis Pengolahan Citra dengan Algoritma YOLO pada Proses Pengepakan Industri Manufaktur Bhaskoro, Susetyo Bagas; Supriyanto, Hadi; Falah, Syamsul
JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Vol 6 No 1 (2024): Volume: 6 | Nomor: 1 | April 2024
Publisher : Pusat Penelitian, Pengembangan, dan Pemberdayaan Masyarakat (P4M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v6i1.114

Abstract

Machine vision is a technology commonly used in modern industry for image-based autonomous analysis and inspection. Machine vision helps the process of product analysis and inspection in the industry faster than manual analysis and inspection. This study applies machine vision to an image processing-based product number identification system in the manufacturing industry packing process using the YOLOv4 algorithm and evaluation of the confusion matrix system. The results of the identification are stored in a database and displayed on the website to facilitate the monitoring process. This system has carried out several tests, especially testing the main function of the system, namely product calculations, carried out 10x experiments. Then, testing variations in light intensity with a range of 20 – 225 lux and variations in height with a range of 48 – 68 cm with 10 trials each. From the tests that have been carried out, an evaluation of the confusion matrix is ​​applied and produces an accuracy and precision of 100% and an error of 0%. The average computing speed of this system is 6.95 FPS with the help of CUDA.
Sistem Otomatisasi Pokayoke Kanban Cek di PT Denso Indonesia Setiawan, Agus Setiawan; Bhaskoro, Susetyo Bagas; Martawireja, Abdur Rohman Harits
JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Vol 5 No 1 (2023): Volume: 5 | Nomor: 1 | April 2023
Publisher : Pusat Penelitian, Pengembangan, dan Pemberdayaan Masyarakat (P4M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v5i1.118

Abstract

Pada Bulan Juni 2020 terdapat claim di customer TMMIN (PT Toyota Motor Manufakturing Indonesia) untuk produk horn assy. Claim-nya adalah part number pada kartu identitas customer berbeda dengan part number horn assy. Oleh karena itu dibuatlah otomatisasi sistem pokayoke kanban cek dengan QR code scanner sebagai media indikator untuk mendeteksi kanban salah (campur) untuk memudahkan pekerjaan pengecekan kanban oleh foreman dan inspektor menggunakan visual basic, arduino, dan konveyor, dimana data dari kanban akan terekam dalam database di komputer. Otomatisasi sistem pokayoke pengecekan kanban terintegrasi di lokasi foreman dan inspektor, berhasil menurunkan rasio produk NG (Not Good) dari pengecekan manual, pada area foreman dari 3.3% menjadi 0% dan pada area inspektor dari 1.7% menjadi 0%.
Pengendalian Kamera berdasarkan Deteksi Posisi Manusia Bergerak Jatuh berbasis Multi Sensor Accelerometer dan Gyroscope MELITA, RAHMI AGUS; BHASKORO, SUSETYO BAGAS; SUBEKTI, RUMINTO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 6, No 2: Published May 2018
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v6i2.259

Abstract

ABSTRAKPenelitian ini menyajikan pengembangan sistem surveillans berbasis multisensor secara portable dengan memberikan peringatan terkait aktifitas yang tidak biasa. Sistem menginformasikan pengguna atau pengasuh melalui email ketika mendeteksi aktifitas yang abnormal, seperti gerakan jatuh (lansia atau anakanak). Penelitian ini menggunakan multisensor antara lain accelerometer, gyroscope, dan menambahkan sensor kamera untuk membuat informasi lebih akurat. Evaluasi dibagi menjadi dua kategori. kategori pertama adalah deteksi jatuh manusia, dan kategori kedua adalah menangkap gambar. Hasil evaluasi mendeteksi gerakan jatuh adalah accuracy sebesar 88%, recall 88%, specificity 88%, dan precision 93%. Selain itu, hasil evaluasi pengambilan gambar adalah accuracy 86% dengan ketepatan pergerakan kamera ke arah objek sebesar 51%.Kata kunci: bergerak jatuh, kamera, internet of things, accelerometer, gyroscope, fuzzy logic. ABSTRACTThis research presents the development of multi-sensor based portable surveilance system with intrusion alert notification. The system will notify theuser or caregiver by email immediately when an abnormal activity is detected, such as falling motion (elderly or children). This research using multisensor there are accelerometer, gyroscope, and adding camera sensor to make information more accurate. The evaluation divided into two categories. first category is human falling detection, and second category is capturing image. The result of falling detection are 88% for accuracy, 88% for recall, 88% for specificity, and precision is 93%. The result of capturing image are 86% for accuracy 86%, with camera motor movement precision is 51%.Keywords: falling motion, camera, internet of things, accelerometer, gyroscope, fuzzy logic.
Co-Authors Abyanuddin Salam Adhitya Sumardi Sunarya Afaf Fadhil Rifa'i Afiq Hasydhiqi Akbar, Saiful ANANDHA A. ALAMSYAH, ANANDHA A. Atika Nur Rahmawati AZIZ, MUHAMMAD AZHAR ABDUL Berlian Bayu Aji Budi Pamungkas Darmawan, Shafa Aulia Hazim Dewi Nur Fauzia Ega Mardoyo Ega Mardoyo Erliansyah, Muhammad Firza Fitria Suryatini Hadi Supriyanto Inkreswari Retno Hardini IRNA ARIANI, IRNA Martawireja, Abdur Rohman Harits Maulana Hakim Swistiawan MELITA, RAHMI AGUS Muharman Lubis MULJONO, PUTRI MUTHIA SARASWATI Nijam, E. Nashrul Nuryanti Nuryanti Nuryanti Pancono, Suharyadi Pipit Anggraeni, Pipit Ridwan Ridwan Rifa'i, Afaf Fadhil Rizqi Aji Pratama Salsabillah, Eugenia Angela Sandy Bhawana Mulia Setiawan, Agus Setiawan Siti Aminah SUBEKTI, RUMINTO Suhono Harso Supangkat Supriyanto, Hadi Syamsul Falah