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Adaptive multi-radio quality of service model using neural network approach for robust wireless sensor network transmission in multipath fading environment Hakim, Galang Persada Nurani; Astuti, Dian Widi; Firdausi, Ahmad; Majid, Huda A.
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3795-3802

Abstract

Wireless sensor network loss in wireless data transmission is one of the problems that needs attention. Interference, fading, congestion, and delay are some factors that cause loss in wireless data transmission. This paper used an adaptive multi-radio model to enhance the wireless data transmission to be more robust to disturbance in a multipath fading environment. A neural network approach was used to generate the adaptive model. If we use 433 MHz as our carrier frequency with 250 kHz bandwidth and 12 spreading factors, we can get signal noise ratio (SNR) for 20 meters at about -9.8 dB. Thus, we can use the adaptive model to enhance the WSN wireless data transmission's SNR to 9 dB, automatically changing the radio configuration to 797.1 MHz frequency, with 378.1 bandwidth and 7.111 for spreading factor. Based on the result, the wireless data transmission link has been successfully enhanced using the proposed adaptive model for wireless sensor networks (WSN) in a multipath fading environment.
Perancangan Driver Wireless Power Transfer Menggunakan Topologi Kompensasi LCC Dalam Peningkatan Efisiensi Transfer Daya Listrik Nurrozan, Iqbal; Hakim, Galang Persada Nurani; Ramadhan, Eko
Jurnal Teknologi Elektro Vol 16, No 2 (2025)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2025.v16i2.004

Abstract

Mode kompensasi yang berbeda memiliki sensitivitas berbeda terhadap perubahan koefisien kopling sistem wirelss power transfer (WPT). Nilai puncak arus kumparan transmisi berdasarkan mode kompensasi double LCC berubah relatif sedikit ketika beban berubah. Rangkaian double LCC memiliki efek penyaringan dan kehilangan siaga yang rendah saat dinamis sehingga mampu memberikan toleransi misalignment dan meningkatkan efisiensi transfer daya. Perancangan driver wirelss power transfer menggunakan topologi kompensasi induktor-kapasitor-kapasitor (LCC) yang diterapkan pada sisi transmitter dan receiver. Nilai induktor dan kapasitor dianalisa untuk mendapatkan komponen yang sesuai. Kumparan pemancar dan penerima dengan nilai induktansi dan resistansi yang beragam diuji dan dianalisa untuk mendapatkan output daya serta efisiensi yang optimal. Frekuensi 20 kHz digunakan untuk membangkitkan arus bolak balik pada rangkaian inverter. Pada jarak kumparan terdekat 0 cm dengan suplai tegangan 12 V DC mampu mentransmisikan tegangan sebesar 7,55 V DC dan arus sebesar 0,67 mA. Daya yang dihasilkan sebesar 5,06 watt. Efisiensi daya yang dihasilkan dengan menggunakan kompensasi LCC sebesar 44,15 %. Kumparan Tx dan Rx memiliki jumlah lilitan yang sama yaitu 100 dengan bentuk spiral persegi.
Optimalisasi Jaringan MPLS Pada Router Nokia Menggunakan Segment Routing Dengan Service VPLS dan VPRN Firdaus, Dhiya Akmal; Hakim, Galang Persada Nurani
Jurnal Teknologi Elektro Vol 16, No 3 (2025)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2025.v16i3.003

Abstract

Penelitian ini dilatarbelakangi oleh meningkatnya kebutuhan kecepatan internet yang menjadi tantangan seiring berkembangnya teknologi dan jumlah perangkat terkoneksi, terutama dengan pesatnya pertumbuhan IoT. Teknologi Segment Routing berbasis MPLS dirancang untuk meningkatkan efisiensi routing dengan kontrol jalur trafik yang lebih fleksibel. Penelitian ini bertujuan untuk optimalisasi sistem jaringan MPLS Segment Routing dengan layanan VPLS dan VPRN sehingga menghasilkan efisiensi dalam traffic forwarding sehingga menghasilkan nilai QOS yang baik. Metode penelitian meliputi perancangan topologi yang menggunakan 7 buah virtual router, 2 buah server ubuntu, 2 buah switch, dan 2 buah virtual windows yang disimulasikan pada simulator GNS3. Terdapat tiga skenario pengujian: (1) VPRN dengan link normal, (2) VPLS dengan link normal, dan (3) VPRN dan VPLS dengan link failure. Dari hasil pengujian dengan tiga skenario tersebut dilakukan analisa pola label paket data, performa QoS dengan parameter Throughput dan Delay berdasarkan standar TIPHON, dan waktu link recovery saat link failure. Hasilnya, throughput VPRN lebih tinggi (download 307 KBps, upload 311.2 KBps) dibandingkan VPLS (download 280.2 KBps, upload 303.8 KBps). VPRN juga memiliki delay lebih rendah (download 2.748 ms, upload 2.824 ms) dibandingkan VPLS (download 3.120 ms, upload 2.894 ms). Dalam link recovery, VPRN lebih cepat (1.248 ms) dibandingkan VPLS (1.253 ms). Dari semua hasil pengujian tersebut masuk dalam kategori 4, yaitu sangat baik dalam standar TIPHON. Kesimpulannya, service VPRN pada jaringan MPLS Segment Routing lebih unggul dalam parameter QoS throughput, delay, dan recovery link failure dibandingkan VPLS, sehingga lebih efektif untuk mendukung kebutuhan trafik data berkecepatan tinggi dan stabilitas koneksi di masa depan.
Adaptive Neuro Fuzzy Inference System Mathematical Model for Detecting Gasoline Type Using Inter Digital Capacitance Sensor Galang Persada Nurani Hakim; Mohd. Radzi Abu Mansor; Diah Septiyana
Scientific Contributions Oil and Gas Vol 48 No 4 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i4.1862

Abstract

In the context of global warming, governments worldwide are striving to control emissions from combustion engines by promoting higher RON gasoline types. However, the higher cost of these fuels has led to a decrease in their usage. Detecting the type of gasoline in a vehicle is a complex and inefficient process. Therefore, this research presents a mathematical model for identifying gasoline type and its components using an Inter Digital Capacitor (IDC) sensor, a small and cost-effective sensor. The model aims to establish a relationship between gasoline type and the components, as well as identify gasoline components in the electrical characteristics. The model has achieved high accuracy, with a small error of 4.03 × 10^-5, demonstrating its effectiveness in building these relations. The conclusion of this study is that mathematical modeling with ANFIS can be used to explain the relationship between the components that make up gasoline and the capacitance value of the IDC sensor used to measure it.
Digital Transformation of Public Services: Evaluation of the Jakarta Kini (JAKI) Application in Jakarta’s Special Capital Region Ramadhan, Eko; Saparudi, Erdy; Hakim, Galang Persada Nurani
Monas: Jurnal Inovasi Aparatur Vol. 7 No. 2 (2025)
Publisher : Badan Pengembangan Sumber Daya Manusia Provinsi DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54849/monas.v7i2.289

Abstract

Jakarta Kini (JAKI) is a digital service innovation initiated by the Provincial Government of Jakarta through the Jakarta Smart City program as an effort to apply information and communication technology in public administration. This study aims to analyze public perceptions of the effectiveness of JAKI in improving the quality and accessibility of public services in Jakarta. The research employs a descriptive qualitative approach with secondary document analysis derived from official reports, academic publications, and application performance data. JAKI is positioned as a regional model of smart governance that integrates multiple public services into a single digital platform. Unlike previous studies that mainly focused on technological aspects or user satisfaction, this study highlights the interconnection between government digital innovation and citizen participation within a data-driven public service ecosystem. The findings indicate that JAKI plays a substantial role in accelerating citizen reporting, expanding service accessibility, and strengthening participatory governance in digital administration. Early features such as JakLapor, JakRespons, JakPantau, and JakWarta serve as key foundations for two-way communication between the government and citizens. Meanwhile, new developments such as the Health Facility Queue Service, JKN Mobile Integration, Early Warning Notifications, and JakCare further enhance the platform’s role as an integrated digital service hub. Nevertheless, JAKI’s implementation remains suboptimal due to challenges related to uneven digital literacy, limited technological infrastructure, and data protection issues.