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All Journal SPEKTRAL : Journal of Communications, Antennas and Propagation Jurnal Informatika Polinema (JIP)
Mohamad Fathurahman
Politeknik Negeri Jakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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Feasibility Study of Using Huffman Code Calculator in Learning Achievement of Data Compression Zulhelman Hanafi; Mohamad Fathurahman; Endang Saepudin
Spektral Vol. 2 No. 1 (2021): April 2021
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v2i1.3694

Abstract

In the world of education there is already a curriculum that must be carried out with learning outcomes that must be achieved by students, as well as lecturers who also have duties as facilitators in these achievements. With the Learning Outcomes, it makes students have the ability or competence in accordance with the requirements to meet the predefined study program profiles. One of the competencies that graduates of the Broadband Multimedia field must achieve is in the field of data processing including data compression. The most widely used data compression technique is the Huffman code. Some research on the Huffman code has been done a lot, and someone has made the Calculator application. The calculator is used to determine the code for each character. The code for each character is not fixed, depending on the frequency of appearance in a text. The more often the character appears, the shorter the code. In this study, it has proven that the feasibility of the Huffman Calculator as a tool for Learning Outcomes can be done where data compression with language variables, in this case English and Bahasa Indonesia to the compression ratio, produces the same compression ratio, which ranges from 1.51 to 1.64 for Bahasa Indonesia while English is 1.56 to 1.83, with the average entropy for English 4.35 and Bahasa Indonesia 4.41.   Keywords: competence , data compression,  huffman code, learning outcomes.
Optimasi Neighbor List Sel 4G ke 3G dengan Automatic Neighbor Relation (ANR) di Kota Tangerang Selatan Mohamad Fathurahman; Zulhelman *; Muhammad Arif Rahman; Endang Saepudin
Spektral Vol. 3 No. 2 (2022): Oktober 2022
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v3i2.5101

Abstract

SON technology is used to change the network optimization process that was previously done manually to be automated. One of the main modules of SON is Automatic Neighbor Relation (ANR). ANR works by optimizing the Neighbor List to increase the number of successful submissions and reduce failed connections. In this report, the implementation of SON in the city of South Tangerang will be carried out using the ANR module. Optimization is carried out on 4G to 3G neighbor cells to increase the success rate of Circuit Switched Fall Back (CSFB). From the results of this optimization, it is known that the existing frequencies and bands in South Tangerang City are 251 (10 MHz), 1850 (10, 20 MHz), 3500 (10 MHz), 38750 (20 MHz), and 38948 (10, 20MHz) for the 4G networks and 10638 for 3G networks. The results of the implementation of the 4G3G IRAT ANR module in South Tangerang City showed a good decision by adding good relations and eliminating bad relationships so that there was a change in KPI on the CSFB side with an increase of 0.68% for the success of CSFB preparation and 3.25% for the success rate of execution CSFB.
SISTEM MANAJEMEN AKUAKULTUR BIOFLOK MENGGUNAKAN LoRa BERBASIS IoT Mohamad Fathurahman; Zulhelman; Muhammad Arif Rahman
Jurnal Informatika Polinema Vol. 9 No. 3 (2023): Vol 9 No 3 (2023)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v9i3.1188

Abstract

Teknologi akuakultur bioflok merupakan metode menjaga kualitas air dalam budidaya ikan. Penjagaan kualitas air dilakukan dengan mengubah nitrogen anorganik menjadi nitrogen organik yang tidak bersifat toksik menggunakan bakteri. Bakteri ini dapat mengkonversi limbah organik menjadi kumpulan mikroorganisme berbentuk flok yang dimanfaatkan oleh ikan sebagai sumber makanan. Namun metode bioflok memerlukan pemantauan air secara teratur untuk menjaga kualitas air. Oleh karena itu pada penelitian ini dirancang bangun sebuah sistem yang dapat menjaga kualitas air pada kolam ikan bioflok berdasarkan suhu air, TDS air, dan pH air menggunakan komunikasi Long Range agar dapat memantau dan mengontrol kolam dari jarak jauh. Alat yang digunakan untuk komunikasi Long Range adalah LoRa RFM95W. Hasil pengujian pengiriman data menggunakan LoRa dalam keadaan LOS dapat diterima hingga jarak 300 meter dengan nilai RSSI adalah -100dBm. Semua sensor dapat bekerja dengan baik seperti sensor suhu air, TDS air, dan pH air yang dapat membaca perubahan nilai yang terjadi pada air kolam bioflok tiap waktu. Selain itu, pemberian pakan ikan secara otomatis dapat dilakukan sesuai jadwal yang ditentukan dengan bantuan modul RTC. Respon yang diberikan saat kondisi air tidak dalam batas normal juga dapat berjalan baik dengan menyalakan buzzer dan menampilkan notifikasi pada aplikasi.
Co-Authors Endang Saepudin Muhammad Arif Rahman Muhammad Arif Rahman zulhelman Zulhelman * Zulhelman Hanafi