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Effects of Biofertilizer Formulation Dose onPhytoplankton Abundancein Peat Soil Medias of Channa Fish (Channa sp.) Culture Yusnita, Sri; Syafriadiman, Syafriadiman; Hasibuan, Saberina
Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan Vol 6 (2019): Edisi 1 Januari s/d Juni 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan

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Abstract

ABSTRACT The research was conducted in January to March, 2017 the located in Kualu Nenas village, Tambang Subdistrict, Kampar District, Riau Province. Phytoplankton analyzed was conducted in Environmental Quality Laboratory of Cultivation, Faculty of Fisheries and Marine University of Riau. Method this research using a Complete Randomized Design (CRD) was one factor with 5 levels of treatments. The kinds of treatments P0 (Without gived Biofertilizer formulation (control), P1(Givedthe 300 g/m2Biofertilizer formulation), P2: (Givedthe 450 g/m2Biofertilizer formulation), P3: (Givedthe 600 g/m2Biofertilizer formulation), P4: (Givedthe 750 g/m2Biofertilizer formulation). The Biofertilizer formulation effect toabundance of phytoplankton,and the best treatment to increasing the phytoplankton abundance was dose of 750 g/m2 (P4). The abundance of phytoplankton was highly of P4 (750 g/m2) were 41,053 cells.L-1. The result of water quality parameters analyzed that the were goodly, especially of temperature 26-30oC, pH 6-8, DO 5,36 mg/L, CO2 21,00 mg/L, Nitrate 2,94 mg/L, Orthoposphate 3,28 mg/L, namely the growth of absolute weight of 8,49 g, specific growth rate of 5,58% and survival of 75% refering for theQuality Standart of Aquaculture. Keywords: Bioferlizer, Phytoplankton, Peat soil, Channa fish (Channa sp.)
The Optimization of PCI Interference in the 4G LTE Network in Padang Dikky Chandra; - Zurnawita; Sri Yusnita; Dwiny Meidelfi; Andre Febrian Kasmar
JOIV : International Journal on Informatics Visualization Vol 5, No 3 (2021)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.3.490

Abstract

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%.
Peningkatan Kualitas Sinyal 4G Berdasarkan Nilai KPI Dengan Metode Drivetest Cluster Padang Sri Yusnita; Yoga Saputra; Dikky Chandra; Popy Maria
Elektron : Jurnal Ilmiah Volume 11 Nomor 2 Tahun 2019
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1698.845 KB) | DOI: 10.30630/eji.11.2.103

Abstract

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.
Peningkatan Performansi Jaringan 4G LTE Berdasarkan Pengecekan Sinyal Di Kecamatan Bukit Sundi Kabupaten Solok Ocha Yufiansa; Popy Maria; Sri Yusnita
Elektron : Jurnal Ilmiah Volume 11 Nomor 2 Tahun 2019
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (909.277 KB) | DOI: 10.30630/eji.11.2.129

Abstract

Teknologi LTE merupakan teknologi generasi keempat yang diciptakan untuk memperbaiki teknologi generasi sebelumnya dalam hal layanan kecepatan transfer data. Kualitas layanan data akan semakin menurun seiring meningkatnya jumlah pengguna yang mengakses. Salah satu cara untuk menjaga kualitas layanan operator adalah menambah jumlah site. Kecamatan Bukit Sundi merupakan salah satu kecamatan di Kabupaten Solok, Sumatera Barat yang memiliki jumlah menara telekomunikasi yaitu dua menara. Kondisi ini menyebabkan tidak semua area mendapatkan layanan telekomunikasi. Untuk mengetahui kondisi kekuatan sinyal di lapangan dapat dilakukan dengan drive test. Berdasarkan hasil drive test Kecamatan Bukit Sundi didominasi oleh RSRP kategori poor (RSRP -110 dBm sampai -100 dBm). Penambahan eNodeB baru dilakukan berdasarkan bad spot area. Setelah peninjauan lokasi eNodeB baru, didapatkan titik longitude dan latitudenya. Untuk mendapatkan azimuth dilakukan simulasi sektor. Setelah diamati pada software atoll, setelah penambahan eNodeB baru terjadi peningkatan RSRP bagus (-95 dBm sampai 0) dari 14,5% menjadi 26,79%.