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WATER LEVEL MONITORING AND FLOOD EARLY WARNING USING MICROCONTROLLER WITH IOT BASED ULTRASONIC SENSOR Diriyana, Agus; Darusalam, Ucuk; Natasha, Novi Dian
Jurnal Teknik Informatika C.I.T Vol. 11 No. 1, Maret (2019): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (814.721 KB)

Abstract

In recent years, floods Often result in material, financial and even loss of life. The absence of an early warning system when floods occur makes people less aware of the occurrence of floods. In this study, Researchers designed a flood detection system that works automatically to monitor water levels and send an early flood warnings. This water level monitoring system uses the nodemcu esp8266 with ultrasonic sensors and based on IOT to provide real-time the data to find out the water level created at Certain levels. This system is connected online that displays real-time water level data on the thingspeak platform and is integrated with the telegram application as a flood early warning. The results of the test of this system design have accuracy of ultrasonic sensors on the which produce an average error rate of 0.78% and an average error of 1 cm.
PERANCANGAN SISTEM PRESENSI UNTUK PEGAWAI DENGAN RFID BERBASIS IOT MENGGUNAKAN NODEMCU ESP8266 Aji, Kukuh Prasetiyo; Darusalam, Ucuk; Nathasia, Novi Dian
JOINTECS (Journal of Information Technology and Computer Science) Vol 5, No 1 (2020)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jointecs.v5i1.1222

Abstract

At present there are still many government offices, especially the tourism and cultural offices of the Thousand Islands, which do not utilize technology for employee attendance, resulting in frequent manipulation of attendance data. Manual presence can cause the tourism office to have to manually record a large amount of attendance data, and make the process ineffective and inefficient. Therefore, this study aims to discuss the Employee Presence System Design with IoT (Internet of Things) Based RFID Using NodeMCU ESP8266. So this research can facilitate the Department of Tourism for the present system of attendance for employees to be more effective and efficient and does not take much time. This system is integrated with the website so that when the employee makes a presence, the data is automatically saved directly into the website database. Database processing on websites using MySQL with the PHP programming language. From several tests, many types of cards can be read by RFID Reader, because these
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 | Full PDF (271.497 KB) | 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
ANALYSIS OF STUDENT ACTIVE LEARNING IN MOODLE LMS USING THE SERVQUAL METHOD Ali, Haidar; Darusalam, Ucuk; Iskandar, Agus
Jurnal Mantik Vol 3 No 4, Feb (2020): Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Growth in the use of technology in education in Indonesia is increasing every year. Various universities in Indonesia already have e-learning systems based on LMS moodle. In the e-learning system, teachers and students generally do not meet face to face, so it is difficult to know how enthusiasm and response of students to the subject matter they receive and the success of the teaching and learning system itself. The purpose of this study is to design a system that can analyze the level of student activity. This system was created using PHP and mySQL programming languages as a database and data analysis with the SERVQUAL method. Based on the results of research analysis of learning by using the best ranking servqual method, namely students named Vony Oktavia (193112700650077) with the highest weighting value of 1.57143 out of 30 students.
WATER LEVEL MONITORING AND FLOOD EARLY WARNING USING MICROCONTROLLER WITH IOT BASED ULTRASONIC SENSOR Diriyana, Agus; Darusalam, Ucuk; Natasha, Novi Dian
Jurnal Mantik Vol 3 No 4, Feb (2020): Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In recent years, floods Often result in material, financial and even loss of life. The absence of an early warning system when floods occur makes people less aware of the occurrence of floods. In this study, Researchers designed a flood detection system that works automatically to monitor water levels and send an early flood warnings. This water level monitoring system uses the nodemcu esp8266 with ultrasonic sensors and based on IOT to provide real-time the data to find out the water level created at Certain levels. This system is connected online that displays real-time water level data on the thingspeak platform and is integrated with the telegram application as a flood early warning. The results of the test of this system design have accuracy of ultrasonic sensors on the which produce an average error rate of 0.78% and an average error of 1 cm.
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 | Full PDF (23.348 KB) | 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

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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.
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 (900.797 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.