Munawar Agus Riyadi
Departemen Teknik Elektro, Universitas Diponegoro Semarang, Jl. Prof. Sudharto, SH, Kampus UNDIP Tembalang, Semarang 50275, Indonesia. *)E-mail: Munawar@elektro.undip.ac.id

Published : 93 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Throughput and Coverage Evaluation on The Use of Existing Cellular Towers for 5G Network in Surakarta City Muhammad Afif Affandi; Munawar Agus Riyadi; Teguh Prakoso
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i1.27719

Abstract

Currently, telecommunication operators must deploy 5G networks to cope with the exponential growth in internet-access demand. To minimize capital expenditure, existing 4G cell towers are being used to install new 5G base stations (gNodeB). However, 5G has different key performance indicators (KPI), frequency and bandwidth values, and propagation models compared to 4G hence an evaluation of this approach’s effectiveness is needed. This paper analyzes 5G network performance with frequency of 3.5 GHz, bandwidth of 100 MHz, and using existing cellular towers in Surakarta City. The city has a total area of 46.8 km2, mostly flat topography and not many tall buildings therefore propagation models with line-of-sight urban macro (UMa) and urban micro (UMi) are representative. KPI parameters for throughput include 75% of the area served with at least 100 Mbps for downlink and at least 50 Mbps for uplink. KPI parameter for signal strength targets at least 90% of the area covered with -100 dBm or higher. Our Atoll simulations show that the optimistic scenario (UMa) produces average throughput of 153.59 Mbps (downlink) and 117.88 Mbps (uplink), 89.43% served with at least 100 Mbps (downlink) and 100% experience at least 50 Mbps (uplink), average signal strength is -83.99 dBm and 79.71% area covered with at least -100 dBm. The pessimistic scenario (UMi) predicts throughput of 141.32 Mbps (downlink) and 117.88 Mbps (uplink), 86.52% provided with at 100 Mbps (downlink) and 100% served with 50 Mbps (uplink), average signal strength of -90.73 dBm and 75.13% area covered with at least -100 dBm. It can be concluded that the 5G network installed at existing 4G towers can conform to KPI parameters on throughput but still experience drawbacks in signal coverage. A non-Standalone 5G network is suitable for early deployment, but gNodeB installation at new locations is needed in the following years.
Mobile Robotic-Arm Development for a Small-Scale Inter-Room Logistic Delivery using 2D LIDAR-guided Navigation Hadha Afrisal; Ghanis Kauchya Nugraha; Aan Aria Nanda; Ahmad Didik Setiyadi; Olimjon Toirov; Rifky Ismail; Wahyul Amien Syafei; Munawar Agus Riyadi; Iwan Setiawan
TEKNIK Vol 43, No 2 (2022)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v43i2.45642

Abstract

This research aims to develop a low-cost mobile robotic arm for an indoor delivery system. Current pandemic and possible future threat of communicable disease become challenging scenarios in developing an unmanned logistic delivery system with a minimum human involvement, especially for inter-room items delivery inside a highly regulated building such as in hospital, clinic, pharmaceutical, foods and beverages industries. In this paper, a prototype of mobile robotic arm is designed to achieve an autonomous level of navigation utilizing a 2D LIDAR with a guided remote monitoring and control of object selections for loading/unloading process. The mobile robotic arm is an integrated robotics system of mobile robot with an attached robotic arm in its body. The base of the mobile robotic arm utilizes a differential-drive wheels configuration equipped with wheels odometry system. The robotic arm is configured of a 4-DoF SCARA-like structure. The 2-dimensional environment map is generated using LIDAR sensor utilizing Hector SLAM method prior to navigation. The autonomous navigation is performed using a 2D LIDAR-based technique by employing an A* algorithm for path planning and tracking mechanism. Experimental works were conducted in a small building environment consisting of some rooms and narrow corridors. The result of experiments show that the prototype of mobile robotic arm can safely and effectively navigate through the testing environment, subsequently to load and unload objects from one room to another room without colliding to objects and obstacles.
Analisis Pengenalan Pola Daun Menggunakan Metode Linear Discriminant Analysis (LDA) dan Jarak Minkowski Dian Ami Widyati; R. Rizal Isnanto; Munawar Agus Riyadi
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2975

Abstract

Indonesia adalah negara tropis yang memiliki keanekaragaman jenis tumbuhan. Tumbuhan terdiri atas tiga organ dasar yaitu akar, batang dan daun. Daun merupakan salah satu bagian yang sering digunakan untuk mengklasifikasikan tanaman, karena setiap jenis tanaman memiliki ciri yang berbeda. Bentuk tepian daun bisa digunakan untuk acuan klasifikasi daun. Otak manusia memiliki keterbatasan dalam mengolah atau mengignat informasi jenis-jenis tanaman yang berdasarkan daun. Oleh karena itu dibutuhkan peralihan pengetahuan manual ke suatu sistem digital. Maka dalam penelitian ini dibuat sistem yang mampu melakukan pengenalan daun menggunakan ekstraksi ciri pada daun menggunakan metide Linear Discriminant Analysis ( LDA ) dan jarak Minkowski.Proses pengenalan pola citra daun diawali dengan pengambilan citra daun, kemudian masuk ke tahap prapengolahan untuk membedakan objek dengan latar belakang. Setelah itu masuk ke tahap ekstraksi ciri menggunakan Linear Discriminant Analysis (LDA ) untuk mendapatkan karakteristik ciri dari citra dan Jarak Minkowski untuk melakukan pengenalan dari pola daun.                       Berdasarkan hasil penelitian dengan jumlah data sebanyak 40 kelas dengan masing-masing kelas sebanyak 6 citra, dengan citra latih sebanyak 160 citra daun dan citra uji sebanyak 80 citra daun. Saat pengenalan menggunakan jarak minkowski menggunakan 3 koefisien yaitu koefisien minkowski 1, 2, dan 3. Dari ­ ­masing-masing koefisien minkowski didapatkan persentase keakurasian. Persentasi keakurasian saat menggunakan koefisien minkowski 1 sebesar 41,25%, koefisien minkowski 2 sebesar 33,75%, dan koefisien minkowski 3 sebesar 30%. Persentase keakurasian pada penelitian ini tidak dapat menghasilkan diangka 80% dikarenakan jumlah data sangat mempengaruhi hasil persentase, semakin banyak data yang ada maka nilai persentase juga akan semakin kecil.
Co-Authors A Nugraha A. Brian Ikhsana P.A.W, A. Brian Ikhsana Aan Aria Nanda Achmad Adi Sulistiono, Achmad Adi Achmad Hidayatno Achmad Ngaqib Muthouwali Achmad Ulul Azmy Adam Kusuma Wardana Adha, Shafa Aulia Adhi Nugraha Adi Cifriadi Aditya Aditya Aditya Pratama Afin M Nurtsani Afiq Hamzah Ahmad Didik Setiyadi Ajib Abdurrachman Ajub Ajulian Zahra Macrina Al Fadli, Muhammad Hanifudin Alfianto, Indra Alfin Imadul Haq Alfin Imadul Haq Aminuddin Rizal, Aminuddin Andreansyah, Muhammad Iqbal Arfan, M Arif Rahman Hakim Aris Triwiyatno Barnas Holil Baron Murianda Bawono, Ajie Nugroho Benny Raharjo, Benny Budi Setiyono Budi Setiyono D Septaditya Danang Septaditya Hidayat Syah, Danang Septaditya Danniswara, Satya Darjat Darjat Deris Stiawan Destyawan Saputra, Destyawan Dian Ami Widyati Dwi Prasetyo Wirawan, Dwi Prasetyo Ezaila Alias, Nurul Fathin Naufal, Haidar Ali Firman Eka Saputra, Firman Eka Fitriansyah, Rizko Prasada Frangky Chandra, Frangky Franky Surya Parulian Fuad Hasan Ghanis Kauchya Nugraha Hadha Afrisal Hamzah, Afiq Hanif, Muhammad Harisuddin Hermawan Hermawan I Gusti Bagus Wiksuana Ilham Akbar Sukmawan, Ilham Akbar Imam Much Ibnu Subroto Indra P. S. Damanik, Indra P. S. Irawan D Sukawati Irawan Dharma S., Irawan Dharma Irawan Dharma Sukawati, Irawan Dharma Irvan Aditya Iskandar, Irvan Aditya Ismail Saad Ivransa Zuhdi Pane Iwan Setiawan Iwan Setiawan Iwan Setiawan Jatmiko E. Suseno Johanes Nugroho Adhi Prakosa Jumiasih, Jumiasih Karnoto . Lina Handayani Loong Peng Tan, Michael M B Santoso M. Pramuaji Tri Saputro, M. Pramuaji Maman Somantri Michael Loong Peng Tan Mizanul Haq, Mizanul Mochammad Facta Muflih, Muhamad Muhamad Muflih Muhammad Afif Affandi Muhammad Fahmi Awaj Muhammad Faizal Afriansyah Muhammad Faizal Afriansyah, Muhammad Faizal Muhammad Taufiqurrahman Muhammad Taufiqurrahman, Muhammad Mustikoaji, Yosia Gita Muthouwali, Achmad Ngaqib Nasrullah, Muhammad Azka Nasution, Ali Napiah natanael pandapotan, natanael Ngah, Razali Nurul Ezaila Alias Olimjon Toirov Pamungkas, Okthavianus Bayu Pane, Ivranza Zuhdi Parulian, Franky Surya Perkasa, Dedy Bagus Pradana, Muhammad Ivan Pratama, Ismail Rifqi Primanggani, Stevanus Putra, Florian Destito R Rizal Isnanto Rahmat Rizeki, Rahmat Ramadhan, Ihsan Razali Ismail Razali Ngah Reza Heryanto S, Reza Heryanto Rifky Ismail Rio Lenardo Karo Karo, Rio Lenardo Rizka Hendrawan, Rizka Sabila, Liya Yusrina Santoso, Imam Sapto Budi Priyatno Satria, Brama Yoga Sidiq Hidayatulah, Sidiq Solichudin Solichudin Sudewanto, Suhardhika Sih Sudjadi Sudjadi Suhardhika Sih Sudewanto Sukiswo Sukiswo Sulila, Muhammad Surya Sumardi . Sumardi . Sumardi . Syuja Rizqullah T Prakoso Tatas Ardhy Prihanto, Tatas Ardhy Tawa'qi, Muhammad Sehatian Tedi Oktavianto Teguh Prakoso Teguh Prakoso Tejo Sukmadi Tole Sutikno Trias Andromeda Ullah Sheikh, Usman Umair Al-Anshory Usman Ullah Sheikh Wahyul Amien Syafei Wardhana, Ariya Dwi Wardhana, Irfan Agung Widaningrum, Lidya Winasis, Ganjar Yoga Krismawardana Yuli Christiyono Yuli Christyono Yusuf H. Hendrayana, Yusuf H. Zebua, Christian Charisma Zeta Hanif Salindri, Zeta Hanif Zulhar, Fachrian