Articles
<![CDATA[ANALISIS DIMENSIONING TRAFIK PADA JARINGAN 3G MENGGUNAKAN METODE LINIER LEAST SQUARE ]]>
<![CDATA[Chandra, Dikky]]>
<![CDATA[ Jurnal Ilmu Fisika Vol 3, No 2 (2011): JURNAL ILMU FISIKA ]]>
Publisher : <![CDATA[Jurnal Ilmu Fisika ]]>
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DOI: 10.25077/jif.3.2.62-67.2011
<![CDATA[Pelanggan telekomunikasi akan bertambah dari hari ke hari. Lonjakan jumlah pelanggan ini tentu menggembirakan pelaku industri telepon seluler. Namun penambahan jumlah pelanggan juga membawa konsekuensi serius bagi operator, yaitu kapasitas jaringan untuk menjamin konektifitas pelanggannya. Dengan menggunakan data periode dari tahun 2008 dan metode linier least square untuk melakukan prediksi trafik di tahun 2010. Perhitungan dan prediksi dilakukan untuk mendapatkan komponen nilai growth factor, high season factor, trafik akhir 2010, prediksi pelanggan akhir 2010, dan program ekspansi jaringan 3G khususnya tentang kebutuhan High Speed Downlink Packet Access (HSDPA) . Subscriber HSDPA di Bali diperkirakan meningkat sebesar 160% di tahun 2010, sedangkan Tren Average of Concurrent User Tahun 2010 diprediksikan akan mengalami kenaikan sekitar 206 %. Peningkatan jumlah pelanggan HSDPA diatasi dengan penambahan kapasitas jaringan baik disisi ekspansi maupun new collocated.]]>
<![CDATA[The Implementation of SAW and BORDA Method to Determine the Eligibility of Students’ Final Project Topic ]]>
<![CDATA[Dwiny Meidelfi]]>;
<![CDATA[- Yulherniwati]]>;
<![CDATA[Fanni Sukma]]>;
<![CDATA[Dikky Chandra]]>;
<![CDATA[Anna Hendri Soleliza Jonas]]>
<![CDATA[ JOIV : International Journal on Informatics Visualization Vol 5, No 2 (2021) ]]>
Publisher : <![CDATA[Society of Visual Informatics ]]>
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DOI: 10.30630/joiv.5.1.447
<![CDATA[The fourth-year students of Bachelor of Applied Studies (BAS) Software Engineering Technology Department of Information Technology (IT) Politeknik Negeri Padang (PNP) are required to work on the Final Project Proposal to the Coordinator, to deliver to the expertise group team to assess the eligibility of the topic. The expertise teams consist of the same skill family. The assessment criteria include originality, novelty, target and topic contribution, methodology, and similarity. Therefore, a system to support group decisions is highly needed to get eligibility for the topic. In a pandemic like today, indoor gatherings are severely restricted. The work from home policy also limits the movement of the team to gather together so that the expert team who would judge cannot conduct a meeting to determine the feasibility of the final project topic optimally. The existence of a subjective assessment of a particular topic requires discussion from the team. The simple Additive Weighting (SAW) method was used to rank the final project proposal, and BORDA method was used to Accumulate the assessment score of the expert team. The research revealed the recommendation on students’ final topics. Testing is done by testing the sensitivity of the criteria used in a decision maker's preference. The final result of this research is a recommendation of a final project that is feasible to be implemented by students and recommendation for sensitive assessment criteria. From the ten topics of the final project that were assessed, seven topics could be accepted. The sensitivity test results showed that the weight with criterion 1 and criterion 4 significantly affect the assessment results.]]>
<![CDATA[The Optimization of PCI Interference in the 4G LTE Network in Padang ]]>
<![CDATA[Dikky Chandra]]>;
<![CDATA[- Zurnawita]]>;
<![CDATA[Sri Yusnita]]>;
<![CDATA[Dwiny Meidelfi]]>;
<![CDATA[Andre Febrian Kasmar]]>
<![CDATA[ JOIV : International Journal on Informatics Visualization Vol 5, No 3 (2021) ]]>
Publisher : <![CDATA[Politeknik Negeri Padang ]]>
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DOI: 10.30630/joiv.5.3.490
<![CDATA[With the growth of the customers and the expansion of the 4G LTE network in the area of Padang City, a PCI (Physical cell identity) modulo interference spot has been detected. PCI modulo interference occurs when an area is covered by two or more cells, which have a strong signal, and these cells have the same PCI modulo value. Based on the measurement results by the driving test method, the network conditions were not optimal because the SINR percentage (Signal to Interference Noise Ratio) in the good category was still low, at 9.47%, and the download throughput in the good category was 18.94%. This indicated that the interference in the area was quite high. Thus, it was necessary to do optimization action. The optimization action was taken by rotating the PCI on the site by considering the modulo value of each site so that the PCI with the same modulo did not merely lead to one location. Besides, action was taken to change the azimuth direction of cells that were too dominant. Based on the optimization process that has been carried out and the driving test activities that have been carried out again, the performance in the existing conditions has increased. The SINR percentage in the good category increased by 10%, so it became 19.47%, and the download throughput in the good category increased by 44.74% and became 63.68%.]]>
<![CDATA[Peningkatan Kualitas Sinyal 4G Berdasarkan Nilai KPI Dengan Metode Drivetest Cluster Padang ]]>
<![CDATA[Sri Yusnita]]>;
<![CDATA[Yoga Saputra]]>;
<![CDATA[Dikky Chandra]]>;
<![CDATA[Popy Maria]]>
<![CDATA[ Elektron : Jurnal Ilmiah Volume 11 Nomor 2 Tahun 2019 ]]>
Publisher : <![CDATA[Teknik Elektro Politeknik Negeri Padang ]]>
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DOI: 10.30630/eji.11.2.103
<![CDATA[The real signal quality measurement on the 4G network is a reference to improve signal quality. Measurements were made for two different operators on the Padang cluster. The measurement parameters taken are the RSRP value, SINR and throughput as the basic parameters of the KPI (Key Performance Indicator) standard. Measurement of these basic parameters is done by the drive test method using the Tems Pocket device while for data analysis using Tems discovery and Mapinfo Pro. Planning the data collection path is an important part to find out the bad spot areas of the two operators for planning signal quality improvement. The measurement results in the process of collecting data for bad categories and not being detected at all are used to determine the position of the new site by taking into account the three signal parameters, the number of users in the area, the minimum limit of the bad signal radius and the site positions that already exist for both operators. Using the cross method, three new site coordinate points are obtained, namely first at longitude 100.403428 ° and latitude -0.870309 °, second point at longitude 100.376331 ° and latitude -0.858726 °, and third point at longitude 100.404072 ° and latitude -0.966503 ° and 47 bad spot area.]]>
<![CDATA[ANALISIS DIMENSIONING TRAFIK PADA JARINGAN 3G MENGGUNAKAN METODE LINIER LEAST SQUARE ]]>
<![CDATA[Dikky Chandra]]>
<![CDATA[ Jurnal Ilmu Fisika (JIF) Vol 3 No 2 (2011): September 2011 ]]>
Publisher : <![CDATA[Universitas Andalas ]]>
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DOI: 10.25077/jif.3.2.62-67.2011
<![CDATA[Pelanggan telekomunikasi akan bertambah dari hari ke hari. Lonjakan jumlah pelanggan ini tentu menggembirakan pelaku industri telepon seluler. Namun penambahan jumlah pelanggan juga membawa konsekuensi serius bagi operator, yaitu kapasitas jaringan untuk menjamin konektifitas pelanggannya. Dengan menggunakan data periode dari tahun 2008 dan metode linier least square untuk melakukan prediksi trafik di tahun 2010. Perhitungan dan prediksi dilakukan untuk mendapatkan komponen nilai growth factor, high season factor, trafik akhir 2010, prediksi pelanggan akhir 2010, dan program ekspansi jaringan 3G khususnya tentang kebutuhan High Speed Downlink Packet Access (HSDPA) . Subscriber HSDPA di Bali diperkirakan meningkat sebesar 160% di tahun 2010, sedangkan Tren Average of Concurrent User Tahun 2010 diprediksikan akan mengalami kenaikan sekitar 206 %. Peningkatan jumlah pelanggan HSDPA diatasi dengan penambahan kapasitas jaringan baik disisi ekspansi maupun new collocated.]]>
<![CDATA[Perencanaan Jaringan 4G LTE Dengan Teknologi FDD Pada Frekuensi 1800 MHz Berbasis Cost – 231 Hata Propagation Model di Kota Padang ]]>
<![CDATA[dikky chandra]]>
<![CDATA[ Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2018: SNTIKI 10 ]]>
Publisher : <![CDATA[UIN Sultan Syarif Kasim Riau ]]>
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<![CDATA[Long Term Evolution (LTE) merupakan teknologi release 8 yang dikembangkan oleh Third Generation partnership Project (3GPP). LTE mampu memberikan kecepatan downlink sampai dengan 300 Mbps dan uplink 75 Mbps. Perencanaan diperlukan untuk membuat suatu jaringan yang optimal dengan tetap memenuhi kapasitas dan cakupan yang sesuai dengan kondisi lingkungan tempat jaringan diimplementasikas. Teknologi LTE menurut jenis duplexnya ada dua, yaitu LTE frequency division multiplexing (FDD) dan LTE time division multiplexing (TDD). Di Indonesia, LTE TDD digunakan pada frekuensi 2300 MHz, Sedangkan LTE FDD digunakan pada frekuensi 1800 MHz dan 900 MHz. Penelitian ini dilakukan perencanaan jaringan LTE FDD frekuensi 1800 MHz di wilayah urban Kota Padang tahun 2018. Beberapa parameter masukan antara lain data kependudukan, nilai radio link budget, kepadatan penduduk untuk menentukan daerah urban.Dari hasil perencanaan didapatkan jumlah eNodeB yang dibutuhkan pada perencanaan coverage yaitu 52 site.]]>
<![CDATA[Rancang Bangun Vending Machine Penukar Uang Koin Berbasis Mikrokontroller ]]>
<![CDATA[Firdaus Firdaus]]>;
<![CDATA[Muhammad Irmansyah]]>;
<![CDATA[Dikky Chandra]]>;
<![CDATA[Era Madona]]>
<![CDATA[ Prosiding SISFOTEK Vol 2 No 1 (2018): SISFOTEK 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia ]]>
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<![CDATA[Vending machine money changer is made to help stalls, mini market or bank to exchange money and making easier exchange money to coins. This device based on Arduino Uno microcontroller to control the device. This tool uses TCS3200 color sensor to detect color of Rp 5,000, dc motor to withdraw money and servo motor to eject coin Rp 1,000. In this device LCD is used to view how to use vending machine and the amount of coins out.]]>
<![CDATA[Pelatihan Microsoft Excel Untuk Pencatatan Keuangan KSP Astek ]]>
<![CDATA[Dwiny Meidelfi]]>;
<![CDATA[Defni Defni]]>;
<![CDATA[Yulherniwati Yulherniwati]]>;
<![CDATA[Rika Idmayanti]]>;
<![CDATA[Dikky Chandra]]>
<![CDATA[ Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2022): Januari - Juni ]]>
Publisher : <![CDATA[CV. ITTC INDONESIA ]]>
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DOI: 10.47233/jpmittc.v2i1.558
<![CDATA[Pencatatan keuangan di Koperasi Simpan Pinjam (KSP) Astek masih menggunakan buku. Ada beberapa buku yang digunakan, pertama buku yang langsung di tulis ketika pertemuan bulanan dan buku yang di tulis rapi sebagai catatan ulang keuangan. Program Pengabdian Masyarakat ini untuk memberikan pelatihan pemanfaatan microsoft excel dalam pencatatan keuangan koperasi yang ada di kota Padang. Koperasi yang dimaksud adalah KSP Astek. Bentuk metoda pelatihan yang dilaksanakan pada kegiatan pengabdian kepada masyarakat ini yaitu: 1. Pelatihan penggunaan Microsoft Excel, 2. Pelatihan pencatatan keuangan koperasi, 3. Pelatihan administrasi dan 4. Pendampingan. Semua metode ini merupakan satu kesatuan dari program ini. Target yang dicapai pada kegiatan Pengabdian Kepada Masyarakat ini adalah memberikan pelatihan yang cukup bagi pengurus dan anggota koperasi tentang manajemen keuangan koperasi.]]>
<![CDATA[Analisis Kualitas Jaringan 4G LTE: Studi Kasus antara Telkomsel dan Tri Melalui Metode Drive Test ]]>
<![CDATA[Afrizal Yuhanef]]>;
<![CDATA[Dikky Chandra]]>;
<![CDATA[Isnurisi Isnurisi]]>
<![CDATA[ Emitor: Jurnal Teknik Elektro Vol 23, No 2: September 2023 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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DOI: 10.23917/emitor.v22i2.22819
<![CDATA[Nanggalo Subdistrict is one of the sub-districts located in the city of Padang, West Sumatra Province. The advantages of data transfer speeds owned by 4G Long Term Evolution (LTE) make telecommunications operators compete with each other to provide the best service quality, but there is still a decrease in network quality in the Nanggalo District area at Telkomsel and Tri operators. So it is necessary to do a drive test to measure and find out the network quality of the two operators. Measuring the quality of a 4G network with RSRP, SINR, and Throughput parameters and how to retrieve data is a benchmark. The software used is TEMS Pocket to take measurement data during the drive test, TEMS Discovery Software to process the data of the test drive results. The comparison results were obtained in Nanggalo District for Tri operator to have better network quality, which can be seen in the SINR parameter has a percentage value of 43.17% and Throughput with a percentage value of 83.56% while Telkomsel operator have a SINR value with a percentage of 17.58% and throughput with a percentage value of 36.59%.]]>
<![CDATA[Analysis Of The Effect Of Distance Between User Equipment and eNodeB On Rsrp And Sinr Value In 1800 Mhz Lte Technology ]]>
<![CDATA[Afrizal Yuhanef]]>;
<![CDATA[Dikky Chandra]]>;
<![CDATA[Bintan Thaibah]]>;
<![CDATA[Herry Setiawan]]>
<![CDATA[ Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023 ]]>
Publisher : <![CDATA[Yayasan Cita Cendekiawan Al Khwarizmi ]]>
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DOI: 10.47709/brilliance.v3i2.3030
<![CDATA[Technological progress is currently experiencing very rapid development where mobile communication systems are technologies that support seamless communication links. When the user equipment is within range of the eNodeB, factors such as the distance between the user equipment and the eNodeB will affect the signal performance received by the user equipment. In this study, we analyzed the effect of the distance between user equipment and eNodeB on RSRP and SINR values on LTE 1800 MHz technology. The method used is the measurement of the drive test and the calculation of the Link Budget and the Propagation Model. The results and analysis show irregular changes in RSRP and SINR values caused by varying obstacle factors in the propagation environment. According to the calculation results of the Link Budget and the Propagation Model on the research object, it was found that the RSRP and SINR values decreased for every 100 m change in distance from the eNodeB. Based on the comparison, it is obtained that the PCS Extension to Hatta propagation model is close to the drive test measurement results.]]>
