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All Journal IPTEKMA CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Upgris JOIN (Jurnal Online Informatika) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Eksplora Informatika JMM (Jurnal Masyarakat Mandiri) JURIKOM (Jurnal Riset Komputer) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Global Science Society Journal Of Information And Technology Unimor (JITU) Jurnal Minfo Polgan (JMP) Jurnal Energi Elektrik AMMA : Jurnal Pengabdian Masyarakat JURUTERA (Jurnal Umum Teknik Terapan) CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Akram, Rizalul
Program Studi Informatika , Universitas Samudra
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

 1 
Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor Novianda Novianda; Rizalul Akram; Liza Fitria
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i1.3892

Abstract

During the rainy season, several regions in Indonesia experienced floods even to the capital of Indonesia also flooded. Some of the causes are the high intensity of continuous rain, clogged or non-smooth drainage, high tides to accommodate the flow of water from rivers, other causes such as forest destruction, shallow and full of garbage and other causes. Every flood disaster comes, often harming the residents who experience it. The late anticipation from the community and the absence of an early warning system or information that indicates that there will be a flood so that the community is not prepared to face floods that cause a lot of losses. Therefore it is necessary to have a detection system to provide early warning if floods will occur, this is very important to prevent material losses from flooded residents. From this problem the researchers designed an internet-based flood detection System of Things (IoT). This tool can later be controlled via a smartphone remotely and can send messages Telegram messenger to citizens if the detector detects a flood will occur.Keywords: Flooding, Smartphone, Telegram messenger, Internet of Thing (IoT).
Build Internet of Thing Based Sea Level Detection System Rizalul Akram; Liza Fitria
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4447

Abstract

Tides can be defined as waves generated by the interaction between the earth, sun and moon.  The peak of the wave is called the high tide (High Water/HW)  and the tide is called low tide (Low Water/LW). The tidal period is the time between the crest or trough of a wave to the crest or tide of the next wave. The time of the tidal period varies from 12 hours 25 minutes to 24 hours 50 minutes. The results of preliminary observations to the desa nelayan in Kuala Langsa found that most of the outskirt fishermen and anglers always look for fish and other marine animals in high tide conditions. Nevertheless, they do not know for sure when the sea water will rise. They detect sea level rise using only a simple tool such as a stick attached to the river and from their house poles under the water. This condition can be detrimental to fishermen both time and economically. The author also began to think about how to create a detection tool that can provide accurate information on sea level conditions at any time to fishermen and anglers via smartphones. The author finally got the best idea, namely creating a "Sea Level Detection System in Kuala Langsa for Fishermen and Anglers Using NodeMCU and Internet of Thing (IoT) Based Waterlevel Sensors and Telegram Messenger. This research has been successfully carried out, where the IoT-based sea level detection tool can work well during experiments in the laboratory and during implementation at the Kuala Langsa estuary, Langsa City.
Decision Support System Recommendations of Half and Full Subsidized KPR Houses rizalul akram; Novianda Novianda; Sri Wulandari
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i1.3891

Abstract

The house is a primary need for humans because as a place to stay and carry on life. Having a house is certainly not an easy matter because it requires a very large cost for it. This large amount of capital has made the community take a short and practical path by choosing half or full subsidized housing loans. Only with a capital of 20 million housing mortgages can be placed. However, the case of the house also considers the size, area, model, size of the remaining land, and location to be crucial in the selection. At present the types of KPR houses consist of types 36, 45, and 54. All three types have subsidies from the government so that they are affordable by many communities. However, from the results of field observations many people felt that it was not appropriate to choose the type of house. Let's say someone wants a type 45 house but ends up choosing type 36 with an estimated objection to paying monthly installments, even though they are capable. And vice versa who take type 45 then object to paying the monthly installments. Based on these problems, the authors try to help the community through the bank with the application of a decision support system (SPK). With this system, people who have filled out the registration form on the system will get a recommendation for the type of house. This system was built using the simple addative weight (SAW) method.Keywords: House, KPR, Type, SPK, SAW.
Co-Authors ., Novianda Abdul L. Mawardi Ahmad Ihsan Ahmad Ihsan al-azizi, khalid mahfudh Asmita, Tesa Atmaja, Teuku Hadi Wibowo Auliyah Balqis Ananta Cut, Banta Fadhliani Fadhliani Farid Syaumi Rizki Ginting Fitria, Dela Hapzi Ali Khairul Muttaqin Lindu Tsunami Liza Fitria Marhamah Muhammad Khalid Muhammad Zaki Munawir Munawir Munawir Nanda, Novianda Nanda Novianda Novianda Novianda Novianda Novianda Novianda Novianda Nur Aynun Siregar Nurul Fadillah Nurul fadillah, Nurul Pangestu, M Ridho Rahmansyah S Rozzi Kesuma Dinata Salsabila, Unik Hanifah Seri Rati Siregar, Nur Aynun SRI WULANDARI Tesa Asmita Asmita Thoriq, Thoriq Thoriq wibowo atmaja, teuku Hadi Yona Fransiska Dewi Yulida Amri