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All Journal International Journal of Electrical and Computer Engineering JMM (Jurnal Masyarakat Mandiri) Journal of Electronics, Electromedical Engineering, and Medical Informatics Prosiding Konferensi Nasional PKM-CSR Smart Society: Community Service and Empowerment Journal eProceedings of Engineering PESARE: Science and Engineering Service Journal Journal Serambi Engineering (JSE) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Proceeding of Community Service and Engagement
Khilda Afifah
Universitas Telkom
Humanities Chemical Engineering, Chemistry & Bioengineering 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 Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Nursing Public Health Social Sciences Other

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Rapid Prototyping Methodology of Lightweight Electronic Drivers for Smart Home Appliances Trio Adiono; Rachmad Vidya Wicaksana Putra; Maulana Yusuf Fathany; Braham Lawas Lawu; Khilda Afifah; Muhammad Husni Santriaji; Syifaul Fuada
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (786.716 KB) | DOI: 10.11591/ijece.v6i5.pp2114-2124

Abstract

Many researches have been conducted in smart home topic. Mostly, they discussed on the specific aspect of application. On the other side, many applications still can be explored and attached into the system. Several main challenges in designing the application devices are system complexity, reliability, user friendliness, portability, and low power consumption. Thus, design of electronic driver is one of the key elements for overcoming these challenges. Moreover, the drivers have to comply the rules of smart home system, data protocol, and application purpose. Hence, we propose a rapid prototyping methodology on designing lightweight electronic drivers for smart home appliances. This methodology consists of three main aspects, namely smart home system understanding, circuitry concept, and programming concept. By using this method, functional and lightweight drivers can be achieved quickly without major changes and modifications in home electrical system. They can be remotely controlled and monitored anytime and from anywhere. For prototyping, we design several drivers to represent common electronic and mechanical based applications. Experimental results prove that the proposed design methodology can achieve the research target.
Sistem Pemantauan Kualitas Dan Kendali Ketinggian Air Pada Kolam Budidaya Ikan Nila Berbasis Internet Of Things Galih Rezza Fernandez; Khilda Afifah; Novi Prihatiningrum
eProceedings of Engineering Vol 9, No 5 (2022): Oktober 2022
Publisher : eProceedings of Engineering

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Abstract

Abstrak— Permasalahan yang sering dialami oleh para pembudidaya ikan nila yaitu ketinggian air terhadap ikan dan kualitas air yang tidak menentu. Tingkat ketinggian dan kualitas air harus dijaga sesuai dengan standar seharusnya. Ketika ketinggian dan kualitas air tidak berada dalam kondisi yang seharusnya, maka diperlukan suatu hal untuk menjaga ketinggian dan kualitas air kembali pada standar yang seharusnya. Namun dalam praktiknya para pembudidaya masih melakukannya dengan cara manual yang menyebabkan terjadinya pemborosan waktu dan energi. Oleh karena itu, dilakukan penelitian mengenai cara yang dapat mengatasi permasalahan tersebut. Salah satu solusinya adalah membuat alat yang mampu memantau sekaligus dapat mengatur ketinggian dan kualitas air dari jarak jauh. Oleh karena itu dirancang sebuah alat yang dapat memantau dan dikendalikan dari jarak jauh berbasis Internet of Things. Dengan alat ini diharapkan dapat membantu permasalahan yang dialami oleh para pembudidaya ikan nila. Setelah perancangan alat selesai, maka dilakukan pengujian tugas akhir yang bertujuan apakah alat ini bekerja sesuai harapan atau tidak. Hasil dari pengujian tugas akhir ini yaitu alat bekerja dengan tingkat pembacaan sensor 96%, pengguna dapat memantau keadaan kolam pada aplikasi dan juga dapat mengendalikan pompa pengisian dan pembuangan sesuai perintah. Ini menandakan bahwa alat dapat digunakan karena telah sesuai dengan apa yang diharapkan. Kata kunci— Aplikasi, Internet of Things, Ketinggian, Kualitas.
Rancang Bangun Sistem Pemilahan Lele Otomatis dan Pengaruh Dimmer Terhadap Debit Pompa Air Alif Aditya Darmawan; Khilda Afifah; Istiqomah
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

Manual sorting of catfish is a labour-intensive process in catfish farming, requiring considerable time and effort. Therefore, an effective and user-friendly automated catfish grading system is required. Currently, several automated sorting systems have been developed using load cells, but these methods are inefficient as they require fish to be sorted one at a time. The method used in this system is similar to the concept of a coin sorter, where catfish flow through holes of different diameters according to their head size. In addition, the system uses a water pump to circulate water from the final storage tank back to the holding tank to help guide the fish to the sorting channel. The water flow rate of the pump can be adjusted using a dimmer, which works by limiting the voltage used by the pump. Testing of the grading system was carried out under two conditions, grading fish of the same size range and grading fish of a significantly different size range. The results showed that sorting fish of the same size range had a higher accuracy (86.1%) compared to sorting fish of a different size range (61.9%). An analysis of the effect of the dimmer on the pump was also carried out, showing that the dimmer can effectively control the water flow rate.
Perancangan Antarmuka Sistem Peringatan Dini Banjir Menggunakan Web Thing Speak sebagai Basis Data dan Notifikasi Pesan melalui Aplikasi WhatsApp Nabil Sarmada; Erlangga Alman Rahardjo; Lutfi Firmandany; Khilda Afifah; Bandiyah Sri Aprillia
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

Flooding is one of the natural disasters that frequently occur in Indonesia, especially in Bandung Regency, which is often affected by flooding due to river basins that cannot accommodate excess water. To address this problem, an Internet of Things (IoT)-based flood early warning system (FEWS) has been developed that can monitor river water levels and provide early notification to the public via the WhatsApp application. This study aims to design and test a user interface integrated with the FEWS system using ThingSpeak as the database and WhatsApp as the notification application. The methods used include data collection, requirements analysis, design, implementation, and system testing. The test results show that ThingSpeak is able to upload water level data in real time with an average delay of 11.5 seconds, and WhatsApp successfully sends water level category notifications to users in a timely manner. In conclusion, the developed system successfully provides accurate information and appropriate notifications to help the public take early evacuation steps during floods.
PETA JALAN PEMERATAAN LITERASI STEM MELALUI PEMROGRAMAN DAN ROBOTIKA DI LEMBAGA PENDIDIKAN DI KABUPATEN BANDUNG Romdlony, Muhammad Zakiyullah; Rahmat, Basuki; Putra, M. Darfyma; Afifah, Khilda; Rosa, Muhammad Ridho; Irsyadi, Fakih
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 6 (2023): INOVASI PERGURUAN TINGGI & PERAN DUNIA INDUSTRI DALAM PENGUATAN EKOSISTEM DIGITAL & EK
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v6i0.1917

Abstract

Artikel ini mendiskusikan usulan metode dan peta jalan pemerataan literasi pemrograman dan robotika yang mencakup kompetensi STEM (Science, Technology, Engineering, Mathematics), di instansi pendidikan yang belum terpapar dengan sains dan teknologi, seperti pesantren, madrasah, maupun sekolah-sekolah di daerah. Hal ini sangat urgen diangkat mengingat SDM di Indonesia belum secara merata mampu menghadapi Revolusi Industri 4.0 dan perlunya penerapan yang nyata terkait amanah sustainable development goal (SDG) dalam hal pendidikan yang berkualitas dan merata. Pada artikel ini dibahas beberapa best practice dalam pelaksanaan peta jalan tersebut disertai dengan diskusi dan analisisnya. Pelaksanaan pelatihan dan pendampingan dalam rangka meningkatkan literasi pemrograman dan robotika yang dibahas mencakup kegiatan di Madrasah Aliyah Islahul Amanah, Pondok Pesantren Pembangunan Sumur Bandung, dan SMAN 1 Bojongsoang, semua berada di daerah Kabupaten Bandung. Dari ketiga kegiatan tersebut didapatkan potret terkait perlunya pendampingan secara berkelanjutan dan berkesinambungan dari perguruan tinggi dalam rangka meningkatkan literasi tersebut.
Selection EEG Electrode Positions for Epilepsy Seizure Detection Using Total Power Spectrum and Machine Learning Afifah, Khilda; Istiqomah, Istiqomah; Rizal, Achamd; Nugraha, Ramdhan
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 4 (2024): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v6i4.9

Abstract

Detecting epileptic seizures poses significant challenges due to the complex and variable nature of EEG signals, particularly when aiming for implementation in wearable devices. The use of 64-channel EEG electrodes, while comprehensive, is impractical for wearable applications due to their size, cost, and the high computational load required for processing. The use of a single-channel EEG wearable device offers notable advantages, including reduced size and cost, making it more practical and comfortable for continuous monitoring in daily life. Additionally, the lower computational load enhances battery life and allows for real-time data processing, which is critical for timely seizure detection and intervention. This research investigates the detection of epileptic seizures using various machine learning algorithms and the power spectrum feature extraction method from EEG signals, aiming for application in wearable devices with a single-channel electrode. The study applied random forest (RF), K-nearest neighbor (KNN), decision tree (DF), support vector mechine (SVM), and logistic regression algorithms to assess their effectiveness. Results revealed that the power spectrum extraction method notably improved seizure detection accuracy, with RF and KNN achieving 93% and 92% accuracy respectively when using all EEG channels. When limited to a single channel, SVM demonstrated the highest accuracy of 82% with channel 3. These findings underscore the efficacy of the power spectrum method for EEG signal processing, providing significant improvements in accuracy and computational efficiency. The study concludes that the proposed approach is promising for enhancing epileptic seizure detection, suggesting further optimization for real-time application in wearable devices to develop accurate and efficient diagnostic tools.
Youth Civic Participation in Sustainable Suburban Development: The Role of Digital Technology Among Young People in Manglayang Rendra, Meldi; Afifah, Khilda; Estananto, Estananto
PESARE: Jurnal Pengabdian Sains dan Rekayasa Vol 3, No 1 (2025): Februari 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/pesare.v3i1.44304

Abstract

The ideas of civic empowerment have transformed the discourse on sustainable suburban development, particularly through the active involvement of young people and the use of digital participatory media. This study, conducted in Manglayang, Bandung, employs an observational method using participatory action research to explore pathways toward the final evolutionary stage of sustainable development, focusing on rural agriculture and social, legal, and welfare citizenship. The research identifies key typologies of youth engagement in sustainable development, including social empowerment, entrepreneurship, and millennial agricultural movements, all facilitated by digital participatory media platforms. It also highlights a redefined notion of youth citizenship, emphasizing membership and participation in both civil and economic spheres through voluntary and profit-oriented activities. The findings reveal that this active, empowered form of citizenship, supported by digital participatory media, is a critical driver of modernization and sustainable economic development in Manglayang, Bandung.
Development of Human Activity Recognition (HAR) for Health Rehabilitation Using MMWAVE Radar with 3D Point Cloud Data Yudha Setyawan, Raden Rofiq; Fiky Y. Suratman; Khilda Afifah
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 2 (2025): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i2.642

Abstract

Postoperative recovery is a crucial phase in ensuring successful rehabilitation. However, many healthcare facilities face challenges due to the limited availability of medical personnel, making routine patient monitoring difficult. This limitation can delay the early detection of complications and reduce overall recovery effectiveness. To address this issue, this study proposes a non-invasive, radar-based system for remote postoperative patient monitoring. The proposed system utilizes the IWR6843AOP radar to generate 3D point cloud data, spatially representing patient movements. This approach enables continuous monitoring without compromising patient privacy, allowing healthcare providers to offer more efficient care. The collected data undergoes preprocessing, including normalization, labeling, and dataset splitting, before being classified using deep learning models such as 3D CNN, 3D CNN+LSTM, 3D CNN+Bi-LSTM, PointNet, PointNet++, and RNN. The dataset consists of six activity categories: empty space, sitting, standing, walking, running, and squatting, recorded at a frame frequency of 18.18 Hz. Experimental results show that the 3D CNN combined with Bi-LSTM achieves the highest accuracy of 90%, surpassing models like PointNet and RNN. These findings indicate that a radar-based and deep learning-driven approach offers an accurate, efficient, and non-intrusive solution for postoperative monitoring, reducing the need for direct medical supervision. This technology has significant potential for broader healthcare applications, contributing to more advanced, accessible, and technology-driven patient monitoring systems. By integrating artificial intelligence and radar sensing, this research paves the way for innovative solutions in modern healthcare, ensuring better postoperative outcomes while optimizing medical resources.
Purwarupa Analisis Energi Pada Kotak Obat Pintar Untuk Masyarakat Lanjut Usia (Smart Medicine Box for Elderly) Syafiq, Muhammad Ihsan; Silalahi, Desri Kristina; Afifah, Khilda
eProceedings of Engineering Vol. 12 No. 3 (2025): Juni 2025
Publisher : eProceedings of Engineering

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Abstract

Penuaan adalah proses alami yang dialamioleh setiap individu seiring bertambahnya usia. Pada lansia,perubahan fisik dan penurunan fungsi kognitif sering kalimenyebabkan kesulitan dalam menjaga kesehatan,termasuk dalam mengonsumsi obat – obatan sesuai jadwalyang direkomendasikan oleh dokter. Hal ini dapatmenyebabkan ketidakteraturan dalam pengobatan, yangpada gilirannya beresiko memperburuk kondisi kesehatan.Untuk mengatasi permasalahan tersebut, penelitian inimengembangkan Smart Medicine Box, sebuah alat berbasismikrokontroler dengan WiFi yang terhubung ke aplikasiBlynk untuk memudahkan pengaturan jadwal konsumsiobat. Alat ini dilengkapi dengan kamera untuk memonitorlansia dalam mengonsumsi obat tepat waktu, serta servoyang berfungsi mengeluarkan obat sesuai jadwal dan pompaair untuk memudahkan lansia meminum obat. Pompa yangdigunakan merupakan water pump 12V 0,5A dengan dayadan energi yang hemat saat alat ini digunakan. Pompatersebut dapat mengalirkan air sesuai kebutuhan dalammeminum obat untuk lansia. Dengan menggunakan SmartMedicine Box, diharapkan lansia dapat lebih mudahmematuhi jadwal pengobatan, yang pada akhirnya dapatmeningkatkan kualitas hidup dan kesejahteraan mereka.Sistem ini diharapkan menjadi solusi inovatif dalammendukung kesehatan lansia, sejalan dengan upayapemerintah Indonesia dalam meningkatkan kesejahteraanlansia melalui perlindungan hak – hak kesehatan mereka. Kata kunci— Lansia, Smart Medicine Box, Blynk,Mikrokontroler, Water Pump, Energi
Analysis Motor Stepper & Design For Smart Medicine Box for Ederly Based on IoT Wibowo, Muhammad Saddam; Silalahi, Desri Kristina; Afifah, Khilda
eProceedings of Engineering Vol. 12 No. 3 (2025): Juni 2025
Publisher : eProceedings of Engineering

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Abstract

Masyarakat lanjut usia (lansia) sering kalimenghadapi tantangan dalam menjaga kesehatan merekadengan benar terutama dalam mengelola jadwal meminum obatmereka, Tantangan yang mereka sering alami adalahmelupakan jadwal minum obat, melupakan takaran obat, dantidak mengingat bahwa obat yang telah dijadwalkan untukdiminum, Untuk mengatasi masalah ini solusi berbasis Internetof Things(IoT) diperkenankan dalam bentuk “Smart MedicineBox” adalah perangkat yang dirancang khusus untukmembantu orang tua dan populasi lanjut usia dalampenggunaan obat mereka dengan lebih efektif. Dengan alat inidiharapkan masyarakat lansia dapat menjalankan aktivitastanpa perlu mengingat lagi jadwal untuk mengambil dan jenisdari obat yang perlu dikonsumsi dan dapat di pantau secararealtime melalui smartphone. Alar ini dirancang menggunakanberbahan khusus untuk minuman, makanan, maupun obatobatan sehingga bilik obat harus steril, maka perlumenggunakan bahan 3D print PLA+ dan untuk menggerakanblik obat atau spin wheel menggunakan aktuator Motor Stepper28BYJ-48+ ULN2003 Sebagai penggerak bilik obat secara 360ºKata kunci— Lansia, Obat, Internet of Things (IoT), SmartMedicine Box, real-time, Smartphone,PLA+
Co-Authors Achmad Rizal Alif Aditya Darmawan Aprianto, Aldi Bandiyah Sri Aprillia Basuki Rahmat Masdi Siduppa Braham Lawas Lawu Desri Kristina Silalahi Ekki Kurniawan Erlangga Alman Rahardjo Ervan Fahri Ardiansyah Wahab Estananto Estananto Fairman Tan, Justin Faisal Budiman Fakih Irsyadi Fakih Irsyadi Fathurrahman Fiky Y. Suratman Galih Rezza Fernandez IRSYADI, FAKIH Istiqomah istiqomah istiqomah Kadek Cindy Sriastiti, Ni Kharisma Bani Adam Linahtadiya Andiani Lutfi Firmandany M Darfyma Putra Mardauntung, Kevin Manase Maulana Yusuf Fathany Meldi Rendra Muhammad Husni Santriaji Muhammad Ridho Rosa Muhammad Zakiyullah Romdlony Nabil Sarmada Nelson, Garry Nopendri Nopendri Novi Prihatiningrum Patriananda, Teguh Porman Pangaribuan Puspa Kirana, Tsania Rachmad Vidya Wicaksana Putra Rafhan Mazaya Ramdhan Nugraha Saputra, Prima Bagus Suksmandhira Harimurti Suksmandhira Harimurti Suksmandhira Harimurti Syafiq, Muhammad Ihsan Syifaul Fuada Triananda, Annisa Trio Adiono Wibowo, Muhammad Saddam Yudha Setyawan, Raden Rofiq