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All Journal International Journal of Electrical and Computer Engineering Jurnal EECCIS ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Panrita Abdi - Jurnal Pengabdian pada Masyarakat JETT (Jurnal Elektro dan Telekomunikasi Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal ULTIMA Computing TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika SinarFe7 eProceedings of Engineering Eduvest - Journal of Universal Studies Journal Serambi Engineering (JSE) SWAGATI: Journal of Community Service Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Rekayasa elektrika
Willy Anugrah Cahyadi
Universitas Telkom
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Neuroscience Social Sciences Other

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Implementasi Mesin Roasting Kopi Untuk Peningkatan Kualitas Produksi Kopi UMKM Darma Coffee Mukhtar, Husneni; Priharti, Wahmisari; Rahmawati, Dien; Susanti, Hesty; Cahyadi, Willy Anugrah; Nugroho, Bambang Setia; Wibowo, Suryo Adhi; Muttaqien, Teuku Zulkarnain; Rizal, Achmad; Susanto, Kusnahadi
SWAGATI : Journal of Community Service Vol. 1 No. 3 (2023): November
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2023v1i3.1082

Abstract

UMKM Darma Coffee adalah salah satu UMKM bersifat industri rumah tangga yang ada di Desa Warjabakti, Kecamatan Cimaung, Kabupaten Bandung. Saat ini, masalah yang dihadapi oleh UMKM Darma Coffee ini adalah masih manualnya proses roasting kopi. Pengabdian masyarakat ini berfokus pada penyediaan solusi roasting kopi karena saat ini proses roasting kopi tersebut masih manual. Petani juga diharuskan fokus dengan pekerjaan memutar alat agar kopi tidak gosong, dan temperatur yang presisi juga tidak diketahui sehingga kualitas roasting kopi di bawah standar. Tujuan pengabdian masyarakat ini adalah pengembangan sebuah mesin roasting kopi otomatis dengan timer digital serta dilengkapi pemantauan suhu, kecuali pengaturan sumber pemanasnya. Hal ini sesuai dengan hasil wawancara dengan ketua UMKM Darma Coffee. Hasil yang dicapai adalah tersedianya mesin roasting kopi otomatis serta desain packaging kopi yang lebih menarik. Terjadi peningkatan kecepatan proses roasting menjadi 10-15 menit. Terdapat pula peningkatan soft skill pada para petani kopi di UMKM Darma Coffee.
PENERAPAN SISTEM PENGENALAN KARAKTER OPTIK MENGGUNAKAN ALGORITMA TESSERACT UNTUK MENDETEKSI LABEL KERETA API INDONESIA Dopo, Obed Orieyanto; Cahyadi, Willy Anugrah; Priharti, Wahmisari
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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Abstract

The rail transportation system is a very important sector in people's lives, because it has a vital role in connecting regions and driving economic growth. Railroad car labels are used to identify the purpose and type of carriage used. The rail transportation system is a field that requires efficient data processing. Collecting data from railroad car labels manually still requires quite a long time and is prone to errors. The method used in this study is image processing, namely the OCR (Optical Character Recognition) method which functions as a reading of images into characters. The ROI (Region of Interest) method used to select labels from train cars so we can focus on the important part of the image and remove irrelevant parts of the image, then images are processed using OpenCV. The results of the image processing are read by Tesseract OCR, then the text results from the labels of the train cars will be displayed on the website. The test results of this system showed that it can detect text from railroad car labels in real-time at different distance parameters, namely 10cm, 20cm, 30cm, 40cm, 50cm and 60cm with a shooting angle of 90° and lighting levels of 45 Lux, 90 Lux, 120 Lux and 210 Lux. This OCR character reading is 100% accuracy. Keywords: Optical Character Recognition, image processing, Region of Interest, train labels.
Perancangan Sub-Sistem Pendistribusian Cairan pada Sistem Pencegah Dekubitus Sindiarti, Ardila; Cahyadi, Willy Anugrah; Mukhtar, Husneni
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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Abstract

Dekubitus merupakan suatu masalah yang paling sering dijumpai pada pasien tirah baring dalam waktu yang lama seperti pada pasien imobilisasi, stroke, ataupun pasien di ruang ICU (Intensive Care Unit). Dekubitus terjadi karena adanya penekanan dan peningkatan suhu pada bagian tertentu secara terus menerus. Pencegahan luka dekubitus dapat dilakukan dengan penggunaan alas tidur yang lembut dan dapat mengontrol suhu antara tubuh pasien dengan alas tidur. Pada penelitian ini, peneliti merancang suatu alat pencegah dekubitus yang berfokus pada pengaturan suhu antara tubuh pasien dengan alas tidur. Sistem yang dirancang tersusun dari beberapa sub sistem salah satunya yaitu sub sistem pendistribusian cairan pada alas tidur. Pendistribusian dilakukan menggunakan dua jenis pompa yaitu pompa SC300T sebagai pompa utama dan pompa air aquarium submersible 12V sebagai pompa distribusi. Alas tidur dibentuk pola yang terbagi menjadi tiga bagian sesuai dengan titik pendeteksian suhu. Berdasarkan hasil pengujian yang telah dilakukan, sistem pendistribusian cairan pada alas tidur telah terealisasi dan berhasil dalam mendistribusikan cairan pada alas tidur. Kata kunci: Dekubitus, Peningkatan Suhu, Sistem Pendistribusian Cairan
Sistem Otomatisasi Pengisian Beras dan Air pada Penanak Nasi Berbasis Internet of Things Rahman, Fajry Adi; Simanjuntak, Josua Ronaldo; Simanjuntak, Elvino; Pangaribuan, Porman; Cahyadi, Willy Anugrah
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 14 No. 2 (2020)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v14i2.641

Abstract

Beras merupakan bahan makanan pokok bagi sebagian besar masyarakat Indonesia. Konsumsi beras pada tahun 2018 mencapai 13,81 juta ton [1]. Pada umumnya beras ditanak menggunakan penanak nasi yang saat ini umum dipasaran. Tetapi karena persiapan yang dilakukan untuk menanak nasi cukup memakan waktu, membuat banyak orang malas untuk melakukannya. Karena untuk menanak nasi pengguna harus melakukan banyak proses. Mulai dari menuangkan beras dan air pada panci, lalu memasukannya pada penanak nasi hingga menekan tombol mode warm menjadi cook yang semuanya masih dilakukan secara manual. Sehingga diperlukan rancangan suatu sistem baru pada penanak nasi saat ini. Dalam sistem baru yang dirancang, pengguna dapat mengatur banyaknya beras yang ingin dimasak dengan pilihan yang bervariasi, melakukan pengisian beras dan air secara otomatis, memantau kapasitas beras dan air yang tersedia , sekaligus dapat memasak nasi secara otomatis di lokasi manapun selama smartphone terhubung dengan internet. Dari hasil pengujian sistem, diperoleh bahwa sistem dapat bekerja dengan sangat baik dengan tingkat keberhasilan mencapai 96,4% dari 54x pengujian.
Kontrol Jelajah UAV Otomatis pada Sikap Take Off dan Landing Mohammad, Dzaky; Susanto, Erwin; Cahyadi, Willy Anugrah
eProceedings of Engineering Vol. 10 No. 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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Abstract

Perkembangan teknologi UAV (Unmanned Aerial Vehicle) memberikan banyak manfaat dalam penggunaannya. Salah satu kegunaan UAV adalah untuk memantau area yang luas. Fungsi UAV sebagai alat pemantauan bisa digunakan pada bidang pertanian. Suatu pertanian yang memiliki lahan yang luas akan sangat sulit untuk memantau setiap lahannya secara keselu- ruhan. Dengan memanfaatkan UAV yang memiliki kemampuan untuk terbang dengan stabil dan dapat mengikuti lintasan yang telah ditentukan, maka tugas ini bisa dilakukan dengan lebih mudah. Oleh karena itu, pada tugas akhir ini dirancang dan direalisasikan UAV dengan jenis quadcopter yang dapat terbang secara otomatis sesuai dengan tujuan yang telah diatur pada aplikasi Mission Planner. Selain itu, quadcopter dirancang agar mampu melakukan take off dan landing secara otomatis, sehingga akan lebih membantu dalam melakukan pekerjaan memantau lahan.Kata kunci—UAV, Quadcopter, Mission Planner, Take off, Landing
Design of Organic and Non-Organic Waste Detection Device Kusuma Dewa, M. Rizky; Anugrah Cahyadi, Willy; Surya Wibowo, Agung
eProceedings of Engineering Vol. 10 No. 6 (2023): Desember 2023
Publisher : eProceedings of Engineering

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Abstract

In this study the author will focus on making a device that can perform waste sorting automatically, for sorting organic and non-organic waste types which aim to assist the waste sorting process which is expected to facilitate the recycling process. The results of testing the device that has been designed by the author, the device can sort waste automatically with the help of ultrasonic sensors and proximity sensors. The proximity sensor used is inductive and capacitive proximity sensor. Inductive proximity sensors are used to detect ferrous type waste, capacitive proximity sensors are used to detect non-ferrous type waste. The device that has been made has limitations, that is the incoming waste must be dry so it does not interfere with sensor readings, and also the dimensions of the waste must be of a certain size to fit inside the garbage can.Keywords: Waste detecting device, Proximity sensors, Sorting waste, Garbage can.
Development of a Responsive Airbag Hardware Mechanism for Fall Mitigation and Injury Reduction in the Elderly Sigit Indriyanto; Willy Anugrah Cahyadi; Husneni Mukhtar; Muhammad Fasha Aqillah; Suto Setiyadi
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.52958

Abstract

Falls pose a significant risk to elderly individuals and often result in serious injuries due to the lack of immediate protective mechanisms. Therefore, a real-time protective system is needed to reduce the impact of falls. The research aims to develop a wearable airbag vest system that integrates real-time fall detection with a servo-based mechanical triggering mechanism for rapid airbag deployment. The system utilized an IMU sensor to monitor body motion and orientation, a microcontroller to process detection logic, and a servo motor to activate a CO₂ inflator through a spherical buckle mechanism. Performance evaluation was conducted to assess IMU accuracy and airbag inflation response. The IMU demonstrated an average orientation error below 2% for yaw, pitch, and roll compared to an inclinometer reference. Inflation tests showed a servo current peak of 1200–2000 mA, with the airbag reaching peak pressure within 1.2–2.5 seconds after triggering, achieving pressure levels between 85 and 120 psi. The proposed servo-based triggering mechanism provides sufficient responsiveness and reliability for wearable fall protection applications.
Modelling Plantar Pressure in a Smart Wearable Insole System Using Piezoresistive Sensors Sekhah Ulyana; Husneni Mukhtar; Willy Anugrah Cahyadi; Nigel Bryan Tang
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 4 (2026): August 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i4.7044

Abstract

Biomechanical analysis plays a crucial role in evaluating movement patterns and pressure distribution. It enables early detection of abnormal gait and posture that may lead to long-term musculoskeletal problems. By identifying pressure imbalances, biomechanical assessment supports injury prevention, rehabilitation monitoring, and personalised orthotic design. However, conventional tools are often bulky and expensive, limiting accessibility. This study introduces an insole system that integrates piezoresistive sensors with Radial Basis Function (RBF) interpolation to provide cost-effective, real-time visualisation of plantar pressure. Tests involving five subjects, conducted during standing, stair climbing, and walking, revealed distinct load patterns with a strong correlation to reference data (R² = 0.925). The static standing test demonstrated balanced pressure and an average MAPE of 24.9%, while the walking cycle exhibited consistent heel-to-toe transitions and proper weight transfer. Operating at a 10 Hz sampling rate, the wearable insole accurately quantified plantar pressure variations, demonstrating its potential for real-time gait assessment and rehabilitation monitoring.
Design and Implementation of an Organic and Inorganic Waste Detection System Using Capacitive, Inductive, and LDR Sensors with Rule-Based Classification Diyah Widiyasari; Husneni Mukhtar; Willy Anugrah Cahyadi; Adhi Dharma Surya Wijaya
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.133

Abstract

The continuous increase in daily waste accumulation has become a major issue in many areas, primarily due to the mixing of various waste types and the lack of effective household waste management. This complicates waste processing and contributes to environmental degradation. This study aims to design and implement a practical tool for detecting organic and inorganic waste types, specifically for use by household waste collection personnel. The developed system utilizes three sensors, capacitive, inductive, and light-dependent resistors (LDR), to acquire characteristic data from different types of waste. The device is designed in the shape of a pistol to enhance mobility and ease of use by waste collection officers. For the waste-type classification system, several machine learning methods were employed, namely Adaptive Boosting (AdaBoost), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN). Based on the experimental results, AdaBoost was selected as the primary model for the waste classification system because of its superior performance in terms of cross-validation accuracy and the balance of evaluation metrics, such as precision, recall, and F1-score. Consequently, AdaBoost predictions were adopted to establish a rule-based classification logic by extracting threshold values from the most influential sensor features. This study utilized AdaBoost analysis as the foundation for rule formulation, ensuring that classification decisions were based on reliable and tested data patterns. Based on testing with several samples, the device can classify organic and inorganic waste types with an accuracy rate of 91.67%. Additionally, the tool can estimate the composition of mixed waste with an error rate of 5.06%. The presence of this device has been proven to accelerate and simplify the waste-sorting process, thereby increasing the efficiency of household waste management.
Gait Variability and Phase Segmentation in Obese and Normal Individuals Using Multi-Location IMUs and Hidden Markov Models Supervised Marginal Suto Setiyadi; Husneni Muktar; Willy Anugrah Cahyadi; Diyah Widiyasari; Mohamad Ramadhani; Nigel Bryan Tang
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.269

Abstract

Obesity is known to disrupt motor control and biomechanics; however, detailed gait alterations in individuals with obesity remain underexplored, particularly in dynamic and real-world walking conditions. This study aims to quantitatively characterize gait differences between individuals with obesity and those of normal weight by analyzing postural and temporal gait parameters. The investigation focuses on pitch, roll, and cadence dynamics using body-worn inertial sensors, with phase transition modeling via Hidden Markov Models. This work proposes a novel framework that integrates multi-location Inertial Measurement Unit (IMU) sensors and a Hidden Markov Model–Supervised Marginal (HMM-SM) approach to detect and classify gait phases with high accuracy, offering practical value for clinical gait assessment and personalized rehabilitation. IMU sensors were placed on the waist, thigh, calf, and heel to record gait data from participants in both obese and normal-weight groups. Gait segmentation and phase modeling were conducted using 4-, 5-, and 8-state HMMs. Quantitative analysis revealed significantly greater postural variability in the obese group during slow walking, with standard deviations in roll and pitch reaching 20.68° and 9.23°, respectively—much higher than the normal-weight group (0.60° and 0.26°). Hidden state transitions from 5-state pitch HMMs showed a very strong effect size for the obese group (Cramér’s V = 0.72) compared to a moderate effect for the normal-weight group (V = 0.33). Similar patterns were observed for roll and cadence. In terms of segmentation accuracy, the 4- and 5-state HMMs outperformed the 8-state model, achieving accuracy levels above 99%, while the 8-state model reached only ~93%. The findings demonstrate that obesity significantly alters gait dynamics, particularly in postural stability and gait phase transitions. The proposed IMU-based HMM-SM framework effectively captures these changes, offering a reliable tool for gait analysis in clinical and biomechanical applications.
Co-Authors Abel Maulana Alie Achmad Rizal Achmad Rizal Adam Fazri Rachman Adhi Dharma Surya Wijaya Agung Ihwan Nurdin Angga Rusdinar Apnan Juanda Ardila Sindiarti Aziz, Burhanuddin Bambang Setia Nugroho Brahmantya Aji Pramudita Christian Halomoan Siregar Denny Darlis Dien Rahmawati Diena Yudiarti Dita Puspitasari Diyah Widiyasari Dopo, Obed Orieyanto Eka Afrima Sari Elvino Simanjuntak Elvino Simanjuntak Erwin Susanto Fajry Adi Rahman Fajry Adi Rahman Fikri Ardian Fikri Refo Julianto Firas Maulana Lasidi Fitrah Dipo Juni Kurniawan Fransiskus Abel Pramuadi Putra GERALDI, ARIK Hanung Adi Nugroho Hesty Susanti Hilmy Rifaldi Husneni Mukhar Husneni Mukhtar Husneni Muktar Ihsan Ahmad Kamal Ikhsan, Akhmad Fauzi Istiqomah Iswahyudi Hidayat Josua Ronaldo Simanjuntak Josua Ronaldo Simanjuntak Kusnahadi Susanto Kusuma Dewa, M. Rizky Mohamad Ramadhani Mohamad Ramdhani Mohammad, Dzaky Muhammad Ary Murti Muhammad Danung Putra Wiyadhi Muhammad Fasha Aqillah Muhammad Hablul Barri Muhammad Hilmy Anshoruddin Muhammad Zakiyullah Romdlony Nadia Husnul Nicola Akmal Afrinaldi Nigel Bryan Tang Nigel Bryan Tang Nigel Bryan Tang Novi Prihatiningrum Nurdin, Agung Ihwan Pandu Pira Haskara Porman Pangaribuan Prameswari Diahasna Tsany - Rahman, Fajry Adi Rahmat Syamsudaris Razzak, Taufiq Abdul Risanuri Hidayat Sekhah Ulyana Sheizi Prista Sari Sifa Nurpadillah Sigit Indriyanto Simanjuntak, Elvino Simanjuntak, Josua Ronaldo Sindiarti, Ardila Siregar, Christian Halomoan Sony Sumaryo SUDIYONO, OOY ARIE Surya Wibowo, Agung Suryo Adhi Wibowo Suto Setiyadi Teuku Zulkarnain Muttaqien Wahmisari Priharti Wiyadhi, Muhammad Danung Putra Yoga Pujiraharjo