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Performances of Free-Space Optical Communication System Over Strong Turbulence Darusalam, Ucuk; Priambodo, Purnomo Sidi; Sudibyo, Harry; Rahardjo, Eko Tjipto
Makara Journal of Technology Vol 18, No 1 (2014)
Publisher : Directorate of Research and Community Services, Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/mst.v18i1.339

Abstract

We report an experimental of free-space optical communication (FSOC) system that use tube propagation simulator (TPS) as the turbulence medium. The FSOC system usewavelength of 1550 nm at the rate transmission of 1000 Mbps and amplified with EDFA at the output of +23 dBm. Index structure of 10-15–10-13 as the representation of atmosphere index turbulences are used for simulation of intensity distribution model or scintillation. The simulation use gammagamma and K model as well. The beam wave propagation models used in simulation are plane wave, spherical wave and Gaussian wave. Spherical wave achieves highest performance via gamma-gamma in strong turbulence. While Gaussian wave achieves highest performance also via K model. We also found, characteristical FSOC system performance is calculated more accurately with gamma-gamma method for strong turbulence than K model. The performances from gamma-gamma for strong turbulenceare at 22.55 dB, at 5.33×10-4, and at 9.41 ×10-6. 
Pemanfaatan Private Cloud Storage Berbasis Infrastructure As A Service (IAAS) Sudetlin, Sudetlin; Natasha, Novi Dian; Darusalam, Ucuk
JOINTECS (Journal of Information Technology and Computer Science) Vol 3, No 1 (2018)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.161 KB) | DOI: 10.31328/jointecs.v3i1.497

Abstract

Data dan informasi merupakan hal yang penting dan berharga dalam suatu lembaga atau instansi, oleh karena itu data sangat penting untuk menjaga dan mengelola data dengan baik, apalagi di instansi atau perusahaan yang sedang dalam tahap perkembangan, tentunya hal tersebut perlu dilakukan. Peran private cloud storage merupakan layanan yang terintegrasi untuk meningkatkan keamanan dan mempercepat akses data. Pada penelitian ini digunakan OwnCloud sebagai sharing data gratis dan menyediakan pengamanan yang baik, paltform virtualisasi Proxmox sebagai pelayanan Infrastructure-As-A-Service (IAAS) Cloud Computing yang dapat menyediakan sebuah infrastructure Paltform yang bersifat opensource dan Redundant Array of Independent Disk (RAID) untuk menambah kapasistas disk dan mempercepat pengaksesan data. Dengan diterapkannya Redundant Array of Independent Disk (RAID) pada Infrastructure as a Service (IAAS) didapatkan hasil maksimum pada penggunaan sisi Ethernet0 90.75 Mbps, Memory terpakai 9.65%, dan pada CPU loading hingga 36% saat upload data File 559MB dengan 11 user secara hampir bersamaan. Kata Kunci ̶ Private Cloud Storage, IAAS, Server Proxmox, RAID0
RANCANG BANGUN SISTEM DETEKSI DAN PENGAMAN KEBOCORAN GAS BERBASIS ALGORITMA BAHASA C DENGAN MENGGUNAKAN SENSOR MQ-6 Wiyono, Adi; Sudrajat, Ajat; Rahmah, Fitri; Darusalam, Ucuk
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v1i1.476

Abstract

Peranan gas LPG (Liquefied Petroleum Gas) pada saat ini sangatlah penting bagi bagi kehidupan manusia. Namun disaat yang bersamaan, dibalik penggunaan gas LPG yang semakin banyak, mulai muncul berbagai masalah. Gas LPG mempunyai dampak negatif terhadap manusia bahkan dapat menimbulkan potensi bahaya ledakan dan kebakaran. Maka perlu adanya sistem deteksi dan pengaman yang dapat mengatasi masalah yang timbul apabila terjadi kebocoran gas LPG. Pada makalah ini ini telah berhasil dirancang sistem deteksi dan pengaman kebocoran gas menggunakan sensor MQ-6 berbasis algoritma Bahasa C. Variasi pengujian dilakukan untuk mengetahui tingkat akurasi dan respon waktu sistem yang dibangun dalam mendeteksi kebocoran. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi kebocoran gas LPG dengan rentang persentase error sebesar 2.95%-6,09%. Selanjutnya sistem juga mampu mengamankan kebocoran gas LPG melalui aktivasi automatic shutoff valve pada regulator dalam rentang respon waktu sebesar 0.3-0,9 detik.
APLIKASI SISTEM PAKAR UNTUK IDENTIFIKASI TINGKAT PENCEMARAN LIMBAH CAIR DOMESTIK BERBASIS MOBILE ANDROID Pratiwi, Oktianti Dwi; Agustina, Ina; Darusalam, Ucuk
Jurnal Teknologi Technoscientia Vol 8 No 2 (2016): Vol 8 No 2 Februari 2016
Publisher : LPPM IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (286.152 KB)

Abstract

The area is the largest source of the presence of domestic wastewater as well as being the largest contributor to environmental pollution. To help minimize the problems that occurred required an intelligent system design is to adopt an expert knowledge into an application. ILCIdroid application designed to identify the level of pollution from domestic wastewater on android based mobile devices. Application of expert system is designed using the Eclipse IDE tools and Matlab toolbox. To determine the results of the identification, use the rules of the rules established by the fuzzy logic based on the data obtained, which then conducted a search of data tracking the fore or forward chainning. The test results show the output generated by the matlab application has the appropriate conclusion.
Rekayasa Fotosintesis Alga Scenedesmus sp. dengan Variasi Metode Penyinaran untuk Peningkatan Produksi Gas Hidrogen Lestari, Kiki Rezki; Darusalam, Ucuk; Hidayanti, Fitria
Jurnal Ilmiah Giga Vol 16, No 1 (2013): Volume 16 Edisi 1 Tahun 2013
Publisher : Universitas Nasional

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Abstract

Pada penelitian ini menggunakan alga Scenedesmus Sp. dengan merekayasa proses fotosintesis yang terjadi. Penelitian berlangsung selama tiga bulan dari bulan Nopember 2012 sampai Januari 2013 yang berlokasi di ruang gelap dan atap genteng laboratorium teknik fisika, Universitas Nasional. Penelitian ini menggunakan tiga metode penyinaran berbeda dan untuk setiap metode dilakukan dua kali percobaan. Dengan menjaga range densitas sebesar 16,7 x 106 - 3,2 x 1010 dan menjadikan waktu gelap menjadi variabel tetap yaitu 24 jam dapat mengoptimalkan produksi hidrogen sampai 32,0305 mL jumlah ini didapat pada metode pencahayaan matahari dari total volume alga sebesar 5200 mL.
PERANCANGAN SISTEM INFORMASI ANALISIS MEDIK MENGGUNAKAN LOGIKA FUZZY SUGENO BERBASIS DATA REKAM MEDIK PADA PENYAKIT HIPERTENSI Pradipta, Nadhira Trisa; Fauziah, Fauziah; Darusalam, Ucuk
Jurnal Ilmiah Informatika Vol 2 No 1 (2017): Jurnal Imliah Informatika
Publisher : Fakultas Sains dan Teknologi Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.944 KB)

Abstract

Number of patients with hypertension have increased from year to year. This is due to an unhealthy lifestyle, excessive stress and so forth. Patiens with hypertension are often unaware of the dangers that can be caused by disease. The medical diagnosis of hypertension is made when obtained blood pressure is obtained more than 140/90 mmHg. In this study, created a system of enforcement of hypertension using sugeno fuzzy logic. This application uses the parameters of age, body mass index, blod pressure(systole and diastole), family history (genetics),  diabetes mellitus. From testing the fuzzy logic that has been done, can be obtained on the calculation of  60 patients who did not suffer from hypertension (normal) as much  3 people, who suffer from prehypertension as much  17 people, who suffer from hypertension grade 1 as much 25 people and who suffer from hypertension degrees 2 as much 15 people. With an average accuracy test rate 99.999989% for patients who did not suffer from hypertension, 99.999985% for patients who suffer from prehypertension, 100% who suffer from hypertension grade 1 and 99.999946% who suffer from hypertension degrees 2. With an average the level of error 0.00333% for patients who did not suffer from hypertension, 0.00471% for patients who suffer from prehypertension, 0% who suffer from hypertension grade 1 and 0.00733% who suffer from hypertension degrees 2. From the application made can provide clear, accurate information about hypertension disease.
DETECTION OF DISEASE ON CORN PLANTS USING CONVOLUTIONAL NEURAL NETWORK METHODS Hidayat, Ardi; Darusalam, Ucuk; Irmawati, Irmawati
Jurnal Ilmu Komputer dan Informasi Vol 12, No 1 (2019): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB) | DOI: 10.21609/jiki.v12i1.695

Abstract

Deep Learning is still an interesting issue and is still widely studied. In this study Deep Learning was used for the diagnosis of corn plant disease using the Convolutional Neural Network (CNN) method, with a total dataset of 3.854 images of diseases in corn plants, which consisted of three types of corn diseases namely Common Rust, Gray Leaf Spot, and Northern Leaf Blight. With an accuracy of 99%, in detecting disease in corn plants.