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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TEKNIK Transmisi: Jurnal Ilmiah Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Journal of Mathematical and Fundamental Sciences Jurnal Edukasi dan Penelitian Informatika (JEPIN) Seminar Nasional Informatika (SEMNASIF) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO JETT (Jurnal Elektro dan Telekomunikasi Terapan) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research KOMPUTIKA - Jurnal Sistem Komputer TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Dinasti International Journal of Education Management and Social Science Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Syntax Transformation MESA (Teknik Mesin, Teknik Elektro, Teknik Sipil, Teknik Arsitektur) Prosiding Konferensi Nasional PKM-CSR Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII eProceedings of Engineering Eduvest - Journal of Universal Studies Jurnal Rekayasa elektrika Jurnal INFOTEL Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika Jurnal Isu Teknologi Jurnal Nasional Sains dan Teknik
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Impelementasi Deep Learning Pada Purwarupa Pintu Pintar Menggunakan ESP32-CAM Fadhilah, Muhammad Zidan; Munadi, Rendy; Santoso, Iman Hedi
eProceedings of Engineering Vol. 11 No. 2 (2024): April 2024
Publisher : eProceedings of Engineering

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Abstract

Pandemi telah memengaruhi berbagai aspekekonomi, yang mengakibatkan peningkatan tindakankejahatan seperti pencurian, terutama saat pelaku mendapatipeluang menguntungkan. Salah satu metode yang seringdigunakan adalah merusak atau membobol sistem kunci pintuutama rumah. Untuk mencegah hal ini, inovasi dapatditerapkan melalui pemanfaatan deep learning dalamverifikasi wajah untuk mengakses pintu. Penelitian inimemfokuskan pada purwarupa pintu pintar yangmenggabungkan MTCNN untuk deteksi wajah, FaceNet untukembedding landmark wajah, SVM untuk klasifikasi, FirebaseCloud Storage dan Firebase Realtime Database untuk mediakomunikasi antara Deep Learning dan ESP32-CAM. Datapengujian melibatkan 3 skenario, termasuk wajah terdaftar,tidak terdaftar, dan manipulasi foto. Hasil menunjukkanmodel mampu mengenali wajah terdaftar dengan tingkatakurasi di atas 95 persen, yang memungkinkan akses ke pintu.Model ini menunjukkan potensi untuk meningkatkankeamanan melalui teknologi yang memanfaatkan kekuatandeep learning dalam pengenalan wajah. Implementasi padapurwarupa pintar ini memberikan solusi untuk mengatasitindakan kejahatan dan meningkatkan kepercayaan dalamsistem keamanan rumah. Kata kunci — deep learning, verifikasi wajah, Firebase, ESP32-CAM
Implementasi ESP32-CAM sebagai Mikrokontroller pada Purwarupa Pintu Pintar Briantono, Mahardika Hanif; Munadi, Rendy; Santoso, Iman Hedi
eProceedings of Engineering Vol. 11 No. 2 (2024): April 2024
Publisher : eProceedings of Engineering

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Abstract

Dalam perkembangan teknologi dan perubahanzaman, tingkat kejahatan termasuk pencurian meningkat,khususnya saat pemilik rumah tidak ada. Denganmemanfaatkan kemajuan teknologi, metode pencegahan yangefektif dengan campur tangan manusia sedikit dapatdiimplementasikan untuk mengatasi risiko pencurian.Penelitian ini berfokus pada pengembangan purwarupa pintupintar yang mengidentifikasi individu tak dikenal secara jarakjauh menggunakan teknologi pengenalan wajah, meningkatkanefisiensi pengawasan rumah dan pengendalian akses.Purwarupa pintu pintar mengintegrasikan mikrokontrolerESP32-CAM, sensor jarak, kunci pintu solenoid, dan komponenlainnya. Melalui IoT, sistem ini mengambil citra, memprosesnyamelalui model deep learning cloud, dan mengirimkan hasilnyake aplikasi Android untuk pengendalian akses danpemberitahuan. Pengujian kualitas layanan mengungkapkanperforma optimal pada Sabtu sore, karena penurunan aktivitasbisnis, peningkatan interaksi jaringan luar, dan penurunan lalulintas. Kesimpulannya, purwarupa pintu pintar inimenunjukkan fungsionalitas efektif. Pengujian kualitaslayanannya efektif terutama Sabtu sore, didorong olehpenurunan kepadatan jaringan dan peningkatan aktivitas luarjaringan. Penelitian ini membuka peluang inovasi pintu pintardi masa depan, tingkatkan keamanan rumah dan pengendalianakses melalui teknologi canggih. Kata kunci— Purwarupa Pintu Pintar, ESP32-CAM, SensorJarak, Solenoid
Perawatan Multifaktor Berbasis Internet Of Things Untuk Pertumbuhan Bunga Mawar Aldo Algafaru; Munadi, Rendy; Danu Dwi Sanjoyo
Jurnal Nasional SAINS dan TEKNIK Vol. 3 No. 2 (2025): Desember 2025
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jnst.v3i2.9505

Abstract

Mawar tanaman yang sering dijumpai di indonesia,beberapa faktor pertumbuhan dari tanaman bunga mawar seperti air, tanah, cahaya serta suhu dan kelembaban. Masalah pertumbuhan bunga mawar kurangnya kadar air dan cahaya yang masuk ke dalam tumbuhan mawar sehingga banyak mawar tidak terawat. Smartgarden ini untuk membantu perawatan multifaktor pada tanaman mawar. Perancangan meliputi aspek hardware dan berbasis Internet Of Things dengan aplikasi yang dirancang secara sederhana. Hardware yang dirancangkan menggunakan microcontroller NodeMCU dengan berbagai sensor yang digunakan, yaitu soil moisture sensor, LDR(Light Dependent Resistor), DHT11. Data yang diperoleh sensor disimpan di database antares serta untuk menampilkan data tersebut menggunakan aplikasi android. Hasil keakuratan soilmoisture mendapatkan nilai simpangan rata rata 2.5 yang bisa kita simpulkan bahwa error yang terjadi cukup minim. Hasil sensor LDR pada waktu terbit antara jam 05.00-06.00 terjadi perubahan status pada LED OFF dan waktu terbenam antara 17.00-18.15 terjadi perubahan status LED ON dapat disimpulkan kerja antara sensor dan lED berkerja dengan baik sehingga minim error. Hasil dari perawatan multifaktor mawar dengan 3 metode perawatan yang berbeda sehingga mendapatkan hasil jika salah satu faktor ada yang dihilangkan maka mawar tidak akan tumbuh dengan baik.
Investigating The Influence of Aquatic Algorithms on Underwater Wireless Routing Beyond Surface Constraints Aziz, Hamdi; Istikmal, Istikmal; Munadi, Rendy
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.7298

Abstract

Underwater Wireless Sensor Networks (UWSNs) play a vital role in ocean monitoring, seismic activity tracking, and environmental observation, yet their performance is hindered by high propagation delay, limited bandwidth, and dynamic topological variations. This study conducts a comprehensive comparative analysis of aquatic algorithm on three prominent UWSN routing protocols—Vector-Based Forwarding (VBF), Depth-Based Routing (DBR), and Flood Routing—to evaluate their Quality of Service (QoS) performance in terms of delay, throughput, and packet loss under varying conditions of node density (20–100 nodes), communication distance (50–200 m), and deployment depth (0–200 m). Simulation data were generated using the Aqua-Sim framework in NS-3, ensuring a controlled and reproducible evaluation environment. The results indicate that VBF consistently achieves the lowest delay (0.0676 s at 20 nodes; 0.0769 s at 100 nodes) and the highest throughput (1772.80 bps at a depth of 51–100 m), making it the most efficient protocol for real-time and latency-sensitive applications. However, VBF experiences moderate packet loss (up to 57.34% in dense networks) due to its constrained forwarding region. DBR exhibits higher delay (0.1420 s at 151–200 m) and the greatest packet loss (85% at a 50 m distance), reflecting the limitations of depth-only forwarding in dynamic environments. In contrast, Flood Routing achieves the lowest packet loss (10.24% at 50 m) but suffers from increased delay (0.1063 s at 200 m) and inefficiency due to redundant transmissions. Overall, this study provides a unified performance benchmark for UWSN routing protocols, highlighting the fundamental trade-offs between efficiency, reliability, and scalability. These insights offer practical guidance for protocol selection and serve as a foundation for future adaptive and AI-driven routing strategies in underwater sensor networks.
Development of GRE IPSec for Enhancing Private Network Scalability: Performance, Cost, and Regulatory Framework Fahriza, Mochammad Iqbal; Munadi, Rendy; Jumhur, Helni Mutiarsih
Eduvest - Journal of Universal Studies Vol. 6 No. 1 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i1.52073

Abstract

This research explores the implementation of GRE IPSec private networks as a secure and cost-effective solution for data transmission in corporate environments. The primary objective is to address the challenges of ensuring secure data transfer over private networks while meeting technical, economic, and regulatory requirements, particularly within the context of Indonesia. The research employs a comprehensive methodology that includes network topology design and simulation using GNS3, an economic feasibility analysis incorporating CAPEX, OPEX, NPV, IRR, PI, and PP metrics, and a regulatory review based on Indonesia’s Electronic Information and Transaction Law (UU ITE). By examining the integration of GRE and IPSec protocols, this study evaluates their effectiveness in safeguarding sensitive corporate data when transmitted over public networks. The hypotheses focus on enhanced transmission data, cost, and regulatory compliance. The findings provide insights into the technical performance, economic viability, and legal alignment of GRE IPSec private networks in Indonesia. This research offers a robust framework for enterprises to develop secure, scalable, and compliant private network infrastructures
Low-Cost GPS Spoofing Detecction And Monitoring System Fathih, Muhardian; Anhar, Dafin Rizki; Fahlevi, Fauzan; Munadi, Rendy; Fardan, Fardan
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

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Abstract

Perkembangan teknologi Global Navigation Satellite System (GNSS) telah memberikan dampak signifikan pada berbagai sektor, termasuk transportasi, telekomunikasi, dan geolokasi. Namun, GNSS menghadapi tantangan serius berupa ancaman GPS spoofing yang dapat mengganggu integritas data navigasi melalui manipulasi sinyal. Ancaman ini berisiko tinggi bagi aplikasi yang memerlukan akurasi lokasi tinggi, seperti sistem navigasi otomatis dan aplikasi krusial lainnya. Penelitian ini bertujuan mengembangkan sistem deteksi GPS spoofing berbasis Internet of Things (IoT) dengan biaya rendah, menggunakan modul GPS u-blox NEO-6M V2 yang terintegrasi dengan mikrokontroler ESP32. Sistem mengakuisisi data sinyal GPS, khususnya koordinat lintang dan bujur, yang dianalisis di sisi backend menggunakan pendekatan berbasis aturan (rule- based). Deteksi dilakukan dengan membandingkan koordinat yang diterima dengan titik referensi yang valid, dan jika deviasi melebihi ambang batas yang telah ditentukan, sinyal diklasifikasikan sebagai spoofing. Hasil klasifikasi ditampilkan melalui situs pemantauan berbasis Vercel. Hasil pengujian menunjukkan sistem mampu mendeteksi anomali koordinat secara real-time dengan akurasi tinggi, sehingga menawarkan solusi efektif, terjangkau, dan mudah diimplementasikan untuk mitigasi GPS spoofing pada perangkat IoT. Kata kunci— IoT, deteksi spoofing, GNSS, rule-based, thresholding, analisis koordinat.
Evaluation of IoT Regulatory Readiness in Indonesia and Policy Recommendations to Support Safe and Effective Implementation Robie, Rizqon; Munadi, Rendy; Jumhur, Helni Mutiarsih
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1639

Abstract

The rapid development of Internet of Things (IoT) technology in Indonesia presents significant opportunities as well as regulatory challenges. Although IoT adoption continues to increase across various sectors, national policies remain fragmented and lack an integrated framework to support safe and effective implementation. This study assesses Indonesia's readiness for IoT regulation and formulates policy recommendations using a mixed-methods approach. The dataset used in this study comprises both secondary and primary data. Secondary data includes Indonesia's Cybersecurity data, Digital Infrastructure Status, IoT Regulations and Laws, Bappenas Studies, Data from Bappenas, and several policies in other countries, such as America, China, Japan, Korea, and Europe. Meanwhile, primary data was collected through questionnaires distributed to several elements, including 61.5% respondents from IoT users, 19.3% respondents from IoT business actors/IoT Startups, 15.8% academics, and 3.7% Government as regulators. The results of this data were then processed to determine government policy readiness by implementing DDPG, where the state space consists of 6 dimensions of leading regulatory readiness indicators (infrastructure, security, data protection, interoperability, institutional maturity, and economy). The action space is a 6-dimensional vector with continuous values in the range of [-1, 1], representing policy interventions in each dimension. The implementation applies reward functions, actor networks, and critic networks. Training data was applied for several episodes at 400 and 1000 episodes. The comparison results show that IoT regulations and policies in Indonesia should be designed with an adaptive approach based on Reinforcement learning, where the balance between data security, technology readiness, and market penetration can be dynamically adjusted to national and global conditions
Design and Simulation of VPN based Private Network with Regulatory Compliance and Economic Feasibility Analysis in Government WAN Infrastructure Yasir, Dara Kusumawati Ramadani; Munadi, Rendy; Jumhur, Helni Mutiarsih
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5361

Abstract

The increasing reliance on private networks in modern enterprise highlights the need for efficient and reliable network performance to support business operations. WAN is a backbone for connecting branch offices, enabling data exchange and coordination across geographically dispersed locations. However, maintaining optimal performance amidst growing traffic demands, latency issues, and packet loss remains a significant challenge. This study focuses on developing VPN technol ogy integrated with QoS management to enhance network reliability, scalability, and efficiency in WAN environments. By employing a simulated network emulator, the research evaluates key performance indicators such as latency, bandwidth utilization, and packet loss under varying network conditions. The study further integrates technoeconomic analysis to assess the feasibility of the proposed solution, considering capital expenditures, operational costs, and the financial viability of the implementation. Regulatory compliance is also considered, with a focus on ensuring that the proposed framework aligns with national and international laws and policies, particularly those governing private networks and WAN operations. The results aim to provide enterprises with a strategic approach to optimizing VPN and WAN performance while balancing operational demands, cost efficiency, and legal adherence. This comprehensive framework is expected to contribute to the development of sustainable network solutions for modern enterprise, ensuring improved productivity and business continuity in an increasingly connected digital landscape.
Co-Authors Abdulqadir Muhtadi Achmad Rizal Danisya Adinda Ayu Herdianto Adinda Riztia Putri Aditya Bram Wiratma Aditya Ramadwiputra Adnan Purwanto Ahmad , Ali Hanafi Ahmad Abdillah Siddiq Ahmad Saifuddin Mufid Ahmad Thoriq Azzam Ahmad Tri Hanuranto Ahmad, Ali Hanafi Ahsanuddin, Rafiq Irham Airlangga Baihaqi Wicaksono ajibekti, ari Akhmad Hambali Akhmad Syauqi Alam Nasyrah Muharram Nasution Aldo Algafaru Alfin Hikmaturokhman Algafaru, Aldo Ali Muayyadi, Ali Alif Faikah Alifiyah Pratiwi P.Wedda Almyra Rosedyana AM, Debby Tri Wulandari Ammatia Risty Ammatia Risty, Ammatia Andi Ainun Najib Andrea Eges Seca Barus Andri Agustav Wirabudi Andri Suwignyo Anego, Raga Esa Angga Rusdinar Anhar, Dafin Rizki Anisia, Rianda Aqila Safira Hasnul AR. Margans Tanjung Ardhi Anzala Muhammad Arfianto Arfianto Arfianto Fahmi Ari Ajibekti Masriwilaga Ari Satrio Arief Goeritno Arief Rakhman Arief Rakhman Saputra Arif Indra Irawan Arisman Putra Munggaran Arta, Virda Amalia Asep Mulyana Asep Mulyana Audy Septarindra Ayu Irmawati Aziz, Hamdi Azzam, Ahmad Thoriq Bachtiar Hendro Assiddiq Bahtiar Widayanto Basuki Rahmat Basuki Rahmat Masdi Siduppa Bayu Erfianto Beny Triantono Bima Sanjaya Boby Priaksa Briantono, Mahardika Hanif Cendika Deby Hartanta Chrisna Fiddin Dadan Nur Ramadan Dadan Rohdiana Dadang Gunawan Dadiek Pranindito Damayanti, Widya Danu Dwi Sanjoyo Derryanda Sulistio Devi Fitriani Devyta Asterina Dewa Gede Cahya Prastika Dewanto, Ramadhika Dini Adlina Salman DJOMI, MANZILA IZNIARDI Doan Perdana Dong Ho Lee Dong-Sung Kim Dwi Sanjoyo, Danu Edoeardo Setiawan Eka Santi Wahyuningtyas Emeraldo Faris Aufar Endang h Chumaidiya Enrico Megantara Evan Adhi Kurniawan F. Ahmadi Djajasugita Fadhil Riardy Rivai Fadhilah, Muhammad Zidan Fahlevi, Fauzan Fahmi Bagaskara Perdana Fahriza, Mochammad Iqbal Fanny Tarida Tampubolon Fardan Fardan FARDAN FARDAN, FARDAN Faris Salman Hakim Fathih, Muhardian Favian Dewanta Fendy Purwanto Feralia Fitri Feri Teja Kusuma Fidar Adjie Fidar Adjie Laksono Fidelis Surya Putranta Fidelis Surya Putranta Fitra Purwandika Galih Erki Basuki Gendhis Azzukhruf Dynastuti Gilang Perdana Putra Gita Indah Hapsari Gumilar Hadi Prabowo Gustommy Bisono Habib Al Ghani Hadhara, Fikri Hafidudin . Harry Rachmatsyah Helni Mutiarsih Jumhur Herda Theo Perdana Hirwandi Agusnam I Made Wahyuda Permana Ida Wahidah Ilham Reza Wijaya Imam Hedi Santoso Iman Hedi Santoso Iman Santoso Indra Maulana, Bintang Indra Perdana Putra Sutejo Indra Perdana Putra Sutejo Indrarini Dyah Indrarini Dyah Irawati Intan Laily Muflikhah Irawan, Muhammad Naufal Nur Irma Noviandari Irma Nurlita Dewi Irmansyah, Tedy Irwanda Kurniawan Istikmal Jafar Alim Habibi Jorjiana Aminatus Kadi, Aufaryafi Baskara Khurniawan, Amri Leanna Vidya Novita Leanna Vidya Yovita Leanna Yovita Listya Wulandari Mardiah M.Yanis, Naili Ikrimah Mahardika Hanif Briantono Mas’ud Bayu Sadewo Maulana, Bintang Indra Maya Rosalia Menachem Bayazid Aufar Mohamad Samudra Mohammad Andre Mutalibov Mohammad Kurnia Putra Mohammad Rizky Pratama Muhammad Azriel Muhammad Fuadi Sururuzzaman Muhammad Furqan Ramadani Muhammad Geo Unggul Putra Kusuma Utomo Muhammad Hafizh Triaoktora Muhammad Hamzah Mushaddiq Nabila Nabila Nachwan Mufti Adriansyah Nachwan Mufti Ardiansyah Natasya Nurul Putri Nigo Wisnu Wijaya Ningrum, Ratna Widya Ningrum, Sussi Novia Indrawati Nugraha, Umar Nur Andini Nur Irawan, Muhammad Naufal Nurwulan Fitriyanti Nyoman Bogi Aditya Karna Periyadi, Periyadi Piove Wiraguna Prasojoe, Rahmat Ramadan putri angelia R Rumani Rumani R Rumani Rumani, R Rumani Raden Arjani Rosalina Radian Priambodo Radiv Herdian Rafif Taruna Ramadhan Ramadhika Dewanto Ramadhika Dewanto Ratih Loviesta Nurbed Ratna Mayasari Rein Rachman Putra Repka Mochamad Zaqy Mulyadi Resi Pramudyo Pariwibowo Retno Hendriyanti Reza Arlan Reza Fahlevi Zulkarnaen Reza Lutfi Ananda Rianda Anisia Rianda Anisia Riano Febrianto Riany Erdiyanti Ridha Muldina Negara Rifqi, Muhammad Naufal Risang Suryadi Saputra Risyaf Fawwaz Pradipta Rivaldi Fawzian Rizal Erwin Irwansyah Rizka Darmawan Dwi Putra Rizqon Robie, Rizqon Robby C. Manurung Rudi Sianipar Ruly Naufaldi Kurniawan S, Andhika Sabrina Chairunnisa Safida Reynita Sari Sahrul Mulia Sandra Erpanji Sar Sardy Satria Bagus Pratama Septian Nurul Chalik Setyorini Setyorini Setyorini Sevierda Raniprima Shihab, Kusvihawan Muhammad Sofia Naning Hertiana Sugondo Hadiyoso Suryamiharja, Andhika Sussi Sussi Sussi , Sussi Syarifuddin, Sri Dewi Sartika Tanjung Perdana Kusuma Tengku Ahmad Riza Tjahjo Adiparabowo Tjahjo Adiprabowo R Tuntun Aditara Maharta Uke Kurniawan Usman Unang Sunarya Usep Taufiq Hidayat Vikry Fadillah Virginia Rosaline Wibowo, Truly Baaqii Widyanto, Toto Wisesa, Pradipa Catya Wisma Dwi Kurnia Yanis, Naili Ikrimah M. Yasir, Dara Kusumawati Ramadani Yohanes Dickson Yuggo Afrianto Yusuf Budiman Zhafari Luthfan Oswar