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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) KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal ULTIMA Computing TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Journal of Electrical, Electronics and Informatics SinarFe7 eProceedings of Engineering Serambi Engineering SWAGATI: Journal of Community Service Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Willy Anugrah Cahyadi
Universitas Telkom
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 Social Sciences Other

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Integrasi Digital Marketing dan Community-Based Tourism dalam Pengembangan Agrowisata di Desa Warjabakti Kabupaten Bandung Susanti, Hesty; Rahmawati, Dien; Mukhtar, Husneni; Wibowo, Suryo Adhi; Priharti, Wahmisari; Cahyadi, Willy Anugrah; Nugroho, Bambang Setia; Aziz, Burhanuddin; Susanto, Kusnahadi
SWAGATI : Journal of Community Service Vol. 2 No. 2 (2024): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2024v2i2.1095

Abstract

Warjabakti Village has various agro-tourism potentials that have not been managed properly, namely in the form of a charming natural scenery, natural conditions that are still maintained, and cool air. The problems faced are the need for more exposure to technology, the unavailability of supporting facilities and infrastructure, and the absence of groups capable of coordinating these potentials. This community service aims to develop a community-based tourism system by integrating digital marketing technology to empower target communities. The results achieved from this community service activity are the formation of Pokdarwis, which have been legally approved by the village government and will oversee the management of the tourism village in Warjabakti Village with governance that the team and partners have made. In addition, the e-digital map and the Haruman Tourism Village website have been produced. This website contains village content and branding that displays attractive village information, videos, and animations that have been structured and integrated, as well as a complete and attractive e-digital map of tourist areas.
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.
Design and Implementation of an Organic and Inorganic Waste Detection System Using Capacitive, Inductive, and LDR Sensors with Rule-Based Classification Widiyasari, Diyah; Mukhtar, Husneni; Cahyadi, Willy Anugrah; Wijaya, Adhi Dharma Surya
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.
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
Gait Variability and Phase Segmentation in Obese and Normal Individuals Using Multi-Location IMUs and Hidden Markov Models Supervised Marginal Setiyadi, Suto; Muktar, Husneni; Cahyadi, Willy Anugrah; Widiyasari, Diyah; Ramadhani, Mohamad; Tang, Nigel Bryan
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 Angga Rusdinar Apnan Juanda Ardila Sindiarti Aziz, Burhanuddin Bambang Setia Nugroho Brahmantya Aji Pramudita Christian Halomoan Siregar Denny Darlis Dien Rahmawati Diena Yudiarti Dopo, Obed Orieyanto Eka Afrima Sari, Eka Afrima 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 Ihsan Ahmad Kamal Ikhsan, Akhmad Fauzi Istiqomah Iswahyudi Hidayat Josua Ronaldo Simanjuntak Josua Ronaldo Simanjuntak Kusnahadi Susanto Mohammad, Dzaky Muhammad Ary Murti Muhammad Danung Putra Wiyadhi Muhammad Hablul Barri Muhammad Hilmy Anshoruddin Muhammad Zakiyullah Romdlony Muktar, Husneni Nadia Husnul Nicola Akmal Afrinaldi Novi Prihatiningrum Nurdin, Agung Ihwan Pandu Pira Haskara Porman Pangaribuan Prameswari Diahasna Tsany - Rahman, Fajry Adi Rahmat Syamsudaris Ramadhani, Mohamad Razzak, Taufiq Abdul Risanuri Hidayat Sheizi Prista Sari Sifa Nurpadillah Simanjuntak, Elvino Simanjuntak, Josua Ronaldo Sindiarti, Ardila Siregar, Christian Halomoan Sony Sumaryo SUDIYONO, OOY ARIE Suryo Adhi Wibowo Suto Setiyadi Tang, Nigel Bryan Teuku Zulkarnain Muttaqien Wahmisari Priharti Widiyasari, Diyah Wijaya, Adhi Dharma Surya Wiyadhi, Muhammad Danung Putra Yoga Pujiraharjo