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All Journal Jurnal INKOM International Journal of Artificial Intelligence Research
Zaenudin, Efendi
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Computer Science & IT Electrical & Electronics Engineering

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Reliabilitas Sistem Transfer Data Nirkabel pada ALIX3d2 untuk Stasiun Cuaca Suyoto, Suyoto; Yunazar, Ferdian; Zaenudin, Efendi; Heryana, Ana
INKOM Journal Vol 6, No 1 (2012)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.115 KB) | DOI: 10.14203/j.inkom.174

Abstract

 The data transfer between node wireless weather station running in real-time manner using frequency band 2,4GHz. Those nodes are separated within 2,18 Km and have some obstruction between both link. This data transfer using point to point wireless link is well proven to accommodate Communications traffic from one node which attached to the SBC based Alix3d2 weather sensors to another node which connected to the database server. From analysis of real test bed we obtained that the System Operating Margin (Rx Signal Level – Rx Sensitivity) 43,01dB is sufficient for the system to work well even in such extreme weather condition.Keywords: SBC, Data Transfer.Transfer data antara node stasiun cuaca berjalan secara waktu nyata menggunakan sistem komunikasi nirkabel dengan pita frekuensi 2,4GHz. Node tersebut terpisah dalam jarak 2,18 Km dan terdapat beberapa halangan di antara kedua lintasan node tersebut. Transfer data menggunakan sistem nirkabel point to point ini terbukti dapat mengakomodir dengan baik lalu lintas komunikasi dari satu node yang terpasang dengan sensor cuaca berbasis SBC Alix3d2 ke node lainnya yang terhubung dengan server database. Dari hasil pengujian di lapangan di dapatkan bahwa System Operating Margin (Rx Signal Level – Rx Sensitivity) adalah 43,01dB cukup untuk sistem agar dapat bekerja dengan baik bahkan dalam cuaca ekstrem sekalipun.Kata kunci: SBC, Transfer data.  
Fuzzy C-Means Clustering Algorithm For Grouping Health Care Centers On Diarrhea Disease Chusyairi, Ahmad; Saputra, Pelsri Ramadar Noor; Zaenudin, Efendi
International Journal of Artificial Intelligence Research Vol 5, No 1 (2021): June 2021
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.71 KB) | DOI: 10.29099/ijair.v5i1.191

Abstract

In Indonesia, public health services at the city or district level are carried out by regional public hospitals or “puskesmas” (health care centers), especially in Banyuwangi regency, East Java, Indonesia that has 45 health care centers spread throughout the villages. This research focused on the deaths of babies caused by diarrhea diseases, which are the second leading cause of death among children younger than 5 years globally. All of the health care centers need to be divided into 3 groups to find out which health care centers have the least, most moderate, and many diarrhea sufferers. Fuzzy C-Means algorithm is used to overcome this problem. The result from this research shown that 2 health care centers have the smallest member of diarrhea sufferers, 14 health care centers have a medium member of diarrhea sufferers, and the rest have a large number of diarrhea sufferers. From the result of this study, it can be a reference for the health department center in dealing with diarrheal diseases, accordingly, the infant mortality rate due to diarrheal diseases can be lowered to health care centers that have high diarrhea sufferers.
Co-Authors Chusyairi, Ahmad Heryana, Ana Saputra, Pelsri Ramadar Noor Siti Helmyati Yunazar, Ferdian