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SNR Gain Evaluation in Narrowband IoT Uplink Data Transmission with Repetition Increment: A Simulation Approach Fadil Hamdani; Misfa Susanto; Tshiamo Sigwele
Journal of Engineering and Scientific Research Vol. 5 No. 1 (2023)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jesr.v5i1.160

Abstract

Deploying Internet of Things (IoT) on a large scale necessitates widespread network infrastructures supporting Machine Type Communication. Integrating IoT into cellular networks like LTE, known as Narrowband-IoT (NB-IoT), can fulfill this infrastructure need. Standard 3GPP Release 13 introduces NB-IoT's Repetition features, expanding radio transmission coverage while maintaining LTE performance. Focusing on uplink data traffic, this study examines NB-IoT's repetition mechanism, grid resource distribution, and NPUSCH performance through simulations. Results show that at SNR greater than -5 dB, maximum repetitions of 128 yield the highest BLER, while minimum repetitions of 2 result in the lowest. Quadrupling repetitions increases SNR by 5 dB, emphasizing repetition's role in error mitigation and uplink reliability, especially in challenging SNR conditions. For optimal throughput in SNR above -5 dB, maximum repetitions of 128 for NPUSCH format 1 are recommended. These findings underscore the importance of repetition in enhancing Narrowband IoT performance, offering insights for system optimization, where increasing the number of repetitions generally leads to higher SNR gain. The attained BLER and throughput values from Narrowband IoT simulations highlight the robustness of data transmission across varying channel conditions, affirming NB-IoT applicability to a wide range of IoT applications.
UPAYA PENGEMBANGAN PROFESIONALISME GURU MELALUI PELATIHAN PENULISAN KARYA ILMIAH DI KOTA METRO M. Ridho Ulya; Anwar, Hasrul; Susanto, Misfa; Yudianto, Yudianto; Irsyad, Muhammad
Jurnal Pengabdian Kepada Masyarakat Ungu( ABDI KE UNGU) Vol. 6 No. 1 (2024): Jurnal Pengabdian Kepada Masyarakat Ungu ( ABDI KE UNGU)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/abdi.v6i1.1555

Abstract

Pelatihan ini telah membantu para guru dalam menulis karya ilmiah seperti teknik penulisan Bab, menemukan referensi, mengevaluasi dan menyajikan data yang ditemukan, pencarian jurnal yang tepat hingga teknik revisi. Mitra dari kegiatan pengabdian kepada masyarakat ini adalah Fakultas Tarbiyah dan Ilmu Keguruan, Institut Agama Islam Negeri Metro sekaligus menjalin hubungan kerjasama dengan Fakultas Teknik Universitas Lampung. Kedua Fakultas bersinergi dalam menunjang pengusaan kompetensi profesional para guru di Kota Metro, khususnya penguasaan ilmu pengetahuan yang menjadi bidangnya. Adapun langkah-langkah yang telah dilakukan pada pelaksanaan pelatihan tersebut diantaranya: Persiapan dilakukan untuk memperoleh sebuah kesepakatan anatara tim pelaksana kegiatan dengan mitra terkait dengan permasalahan dan solusi yang akan dilakukan dalam hal ini adalah Fakultas Tarbiyah dan Ilmu Keguruan, Institut Agama Islam Negeri Metro. Evaluasi pelaksanaan kegiatan Pelatihan dalam hal ini terkait respon peserta terhadap materi pelatihan dan nara sumber. Materi disampaikan dalam waktu 60 menit dengan masing - masing pemateri memiliki penyampaian materi selama 15 menit, selanjutnya simulasi penelusuran jurnal terakreditasi yang langsung dipraktekkan oleh seluruh peserta dan dibimbing oleh pemateri. Selain simulasi penelusuran jurnal terakreditasi, peserta juga diarahkan cara menelusuri jurnal yang bermasalah atau predator yang harus peserta hindari sebelum melakukan proses submit. Evaluasi dilaksanakan dengan melakukan post test dan pendampingan kepada guru-guru dan juga koordinasi kepada pihak Fakultas Tarbiyah dan Ilmu Keguruan, IAIN Metro setelah pelaksanaan pelatihan. Pendampigan ini akan dilakukan secara luring dan daring untuk melihat sejauh mana tingkat keberhasilan dari kegiatan pelatihan yang dilaksanakan.
Interference Management Based on Clustering Method for Ultra-Dense Networks in Multicellular Network Gumilang, Alisha Gita; Susanto, Misfa; Fitriawan, Helmy
Jurnal Teknik Elektro Vol 15, No 2 (2023): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v15i2.48738

Abstract

One of solutions to address the increasing demands for data traffic by mobile users is to implement ultra dense network (UDN). UDN consists of many femtocells that are densely deployed on macrocellular communication networks. Since femtocells radius is very short and they are tightly packed, it faces interferences problem i.e., co-tier and cross-tier interferences. This paper proposes interference management technique based on clustering method for UDN multicellular communication networks at downlink transmission. It is purposed to reduce interference effects. To evaluate the proposed clustering method, two simulation scenarios have been designed; namely baseline system and system with the proposed clustering method. The scenarios applied is to randomly distribute femtocells following a uniform distribution in three macrocells areas. Through a clustering algorithm, adjacent femtocells are grouped into one cluster and assigned different frequency channels for each femtocell in that cluster. The same cluster pattern is repeated for all femtocells. Thus, interference effect is canceled within one cluster and reduced among clusters by widening the distance among femtocells that use the same frequency channels. Through simulation experiment, the proposed clustering method is evaluated and compared to the baseline system. The simulation results show that Signal to Interference plus Noise Ratio (SINR) of femtocells increases 0.44 dB, throughput increases 1.67%, Bit Error Rate (BER) reduces, and other parameters improve as well which include spectral efficiency, network energy, and average network energy. The proposed clustering method increases performances of the networks and provides better solution for transmission data speed in densely femtocell network.
SISTEM KEAMANAN RUANGAN DENGAN HUMAN DETECTION MENGGUNAKAN SENSOR KAMERA BERBASIS DEEP LEARNING Alizal, Muhammad; Susanto, Misfa; Setyawan, Arinto; Fitriawan, Helmy; Mardiana, Mardiana
Jurnal Teknoinfo Vol 18, No 1 (2024): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i1.3798

Abstract

Penelitian ini memusatkan perhatian pada penerapan TensorFlow, sebuah platform open-source untuk machine learning, dalam konteks deteksi objek dan analisis visual. Tujuan dari penelitian ini adalah untuk mengembangkan dan melatih model deteksi objek menggunakan teknik-teknik deep learning yang terdapat dalam TensorFlow guna mengidentifikasi objek-objek dalam berbagai konteks visual. Metodologi penelitian ini melibatkan pengumpulan dataset yang representatif, penerapan arsitektur model yang sesuai seperti Convolutional Neural Networks (CNNs), serta proses training yang melibatkan teknik-teknik seperti transfer learning atau fine-tuning. TensorFlow digunakan sebagai framework utama dalam proses pengembangan dan evaluasi model, memanfaatkan kekuatan algoritma-algoritma yang telah tersedia dan kemampuan komputasi yang terdapat pada GPU. Hasil eksperimen menunjukkan bahwa model yang dikembangkan mampu mencapai tingkat akurasi yang signifikan dalam tugas deteksi objek, memberikan nilai performa yang baik dalam membedakan dan mengidentifikasi objek-objek dalam dataset yang beragam. Hasil ini mengindikasikan bahwa TensorFlow memiliki peran penting dalam memfasilitasi pengembangan model deep learning yang mampu menangani tugas-tugas visual kompleks secara efektif. Penelitian ini memberikan wawasan penting terkait aplikasi TensorFlow dalam konteks deteksi objek dan analisis visual, menyoroti potensi dan kekuatan yang dimiliki oleh platform ini dalam menghadapi tantangan-tantangan dalam domain visual computing.
Interference Management Using Distance-based Clustering Method for D2D Communication Underlaying Multicell Cellular Network Sabella, Soraida; Susanto, Misfa; Setyawan, FX Arinto
Jurnal Elektronika dan Telekomunikasi Vol 23, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.566

Abstract

Device-to-Device (D2D) communication is a technology candidate to support the next generation of cellular communication networks. D2D has the potential to boost the efficiency of frequency resources and system capacity. Generally, D2D performs in-band underlaying or shares frequency channels with traditional cellular users, which can cause co-channel interference problems between these two types of users. This paper offers a solution through a clustering technique for D2D users (DUEs) to reduce interference among DUEs. Clustering technique is performed on DUEs by allocating different frequency channels in a group, in order to reduce the interference effects experienced. Thus, it is expected that through this proposed method, both D2D and cellular users can experience better signal quality with minimal interference effects. Two systems have been considered i.e., the conventional/baseline system and the system with the proposed clustering method. The simulation results show that the SINR (Signal to Interference plus Noise Ratio) values and throughput for the proposed system compared to the baseline system has increased. The SINR result obtained is 16.8 dB for the baseline system and 17.68 dB for the proposed system, and resulting an improvement of 5.4%. Therefore, applying the proposed clustering method is able to increase acceptability of the desired signals for the observed DUEs. Then, the throughput value also increases by 5%, i.e., from 56.17 to 59 Mbps, which the system with the proposed clustering method provides a better increase in data transmission speed compared to the baseline system.
ANALISA PERBANDINGAN DUA METODE KALIBRASI MESIN ANASTHESI VENTILATOR MELALUI PENGUJIAN FUNGSIONAL DAN KALIBRASI Muzaki, Teguh; Susanto, Misfa; Purwiyanti, Sri
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4386

Abstract

Ventilator merupakan mesin yang berfungsi untuk menunjang pernapasan. Alat ini umumnya dibutuhkan  pasien yang tidak dapat bernapas sendiri. Mesin ini mengatur proses menghirup dan menghembuskan nafas pada pasien. Banyak kendala dengan hasil pengujian dan kalibrasinya yang tidak sesuai. Hal ini dikarenakan ketidaktahuan terhadap metode pengujian dan kalibrasi ventilator yang sesuai standar. Tujuan penelitian ini untuk melakukan pengujian dua metode kalibrasi yaitu kalibrasi mandiri dan kalibrasi pihak ke dua mesin anastesi ventilator pengujian di lakukan dengan cara pengamatan fisik dan uji fungsi alat, pengukuran keselamatan listrik dan melakukan kinerja kalibrasi sesuai dengan nilai standar dari metode kerja kalibrasi alat medis4. Menganalisa dan membandingkan kedua metode serta mencari En dan mendapati metode yang mana yang layak di gunakan untuk kinerja alat seterusnya. Hasil peneitian ini menunjukan bahwa : 1) Perbedaan hasil  perhitungan   antara   metode kalibrasi pihak ke 2 dan kalibrasi mandiri dikarenakan penggunaaan yang berbeda di setiap pengujian maupun alat pendukung yang digunakan.  Berdasarkan perhitungan dari Error Number, Untuk metode kalibrasi mandiri dapat digunakan didalam proses pengambilan data karena dibeberapa kondisi tertentu ada diantara Error Number yang masuk nilai ambang batas dan dalam jangka pemakaian yang terbatas hanya sampai 6 bulan, karna kondisi alat penunjang dan kesetabilan listrik di rumah sakit sangat berpengaruh pada alat tsb. 2) Perbandingan repeatability kedua metode banyak sekali terjadi perbedaan yang signifikan, Contoh pada satu metode kalibrasi mandiri pada setting tidal volume yang mendapat nilai repeatability yang presisi akurasi pada pengukuran nya pada percobaan 1 : -23,6, percobaan 2 : 14,2 dan percobaan 3 : -15,2 menunujukan pengulangan yang baik antara jarak percobaan 1 , 2 sampai 3. Naik turun nya kondisi tersebut di akibatkan kondisi flow sensor dan o2 sensor yang melebihi batas pemakaian. Begitupun dengan percobaan respiration rate metode kalibrasi mandiri yang mendapat nilai repeatability hampir mendekati presisi yaitu di 5,56% . 
Landslide Monitoring and Warning System Based on Wireless Sensor Network Widodo, Ahmad Wahyu; Susanto, Misfa; Setyawan, FX Arinto
ELKHA : Jurnal Teknik Elektro Vol. 16 No.2 October 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v16i2.83489

Abstract

Landslides are common in Indonesia, often caused by factors like heavy rainfall and high soil moisture levels. The Batubrak mini hydro power plant intake area in Lampung province of Indonesia has experienced landslides, prompting the need for an early warning system. This study presents the development of a cost-effective and efficient real-time landslide monitoring and warning system. The system incorporates sensors to measure accelerometer and vibration parameters, enabling real-time data display through a wireless sensor network and SCADA software. Early warnings are issued when triggers are activated. Three sensor nodes were deployed in the intake area for testing, demonstrating their ability to detect, collect, process, and transmit accelerometer and vibration data to the gateway node.
A Comparative Review of Communication Technologies for Asset Tracking in Healthcare Facilities Al-Maktary, Omar; Susanto, Misfa
Applied Engineering, Innovation, and Technology Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i1.59

Abstract

Efficient asset tracking in healthcare facilities is essential to reduce delays, prevent equipment loss, and optimize operational workflows. This study systematically reviews four widely used technologies: Radio Frequency Identification (RFID), Near Field Communication (NFC), Global Positioning System (GPS), and Bluetooth Low Energy (BLE), based on six criteria: cost, accuracy, range, energy efficiency, ease of deployment, and scalability. RFID and NFC offer high accuracy in short-range use cases, but RFID requires substantial infrastructure, while NFC is limited by its manual operation. GPS is highly effective for outdoor tracking, though it struggles indoors. BLE provides a strong balance across all criteria and supports long battery life, making it suitable for large-scale indoor tracking. The review incorporates real-world case studies and proposes hybrid IoT-based systems that combine these technologies to achieve comprehensive coverage. Future research should focus on seamless indoor-outdoor handoff, energy-efficient synchronization, and the use of machine learning for signal optimization.
Analysis of Low Noise Amplifier Design for 1 GHz IoT Water Monitoring System Hamdani, Fadil; Susanto, Misfa; Heriansyah
International Journal of Aviation Science and Engineering - AVIA Vol. 6 No. 2: (December, 2024)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v6i2.143

Abstract

The Internet has greatly accelerated the development of machine-to-machine communication technologies, enabling the remote monitoring and control of water treatment processes. A key example of this is the Internet of Things (IoT)-based Water Quality Management (WQM) systems, which utilize wireless sensors to monitor environmental parameters in real-time. These sensors are connected to a central gateway that aggregates and transmits data, facilitating timely interventions when water quality deviates from standards. The use of wireless communication minimizes installation challenges and environmental disruption. However, signal attenuation, particularly in Ultra High Frequency (UHF) bands over water, presents a challenge due to factors like temperature variations, antenna height, and surface roughness. UHF signals, while favorable for IoT applications due to their high data throughput and low power consumption, face propagation limitations over water surfaces. Despite these challenges, UHF's ability to penetrate structures and support large networks makes it a viable choice for IoT in aquatic environments. This paper explores the design of low noise amplifiers (LNAs) to mitigate signal attenuation in IoT systems for WQM, with a focus on enhancing signal integrity while maintaining low power consumption. By optimizing LNAs, the study aims to address the unique communication challenges posed by water environments, ensuring reliable and efficient operation of WQM systems
Analisis Quality of Service dengan Metode Peer Connection Queue untuk Management Bandwidht pada Jaringan Point to Point Protocol Over Ethernet Hasim, Sitronella Nurfitriani; Misfa Susanto
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 1 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n1.2777

Abstract