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Jurnal Teknologi Informasi dan Komunikasi
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Subang
ISSN : 22524517     EISSN : 27237249     DOI : https://doi.org/10.47561/a.v13i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Teknologi Informasi dan Komunikasi menerbitkan kajian ilmiah hasil penelitian dan pemikiran di bidang ilmu dan teknologi komputer yang didistribusikan sebagai sumber referensi bagi para akademisi di bidang Ilmu dan Teknologi Komputer. Jurnal Teknologi Informasi dan Komunikasi menerima artikel ilmiah dengan cakupan penelitian: 1. Internet of Things 2. Machine Learning 3. Data Mining 4. Big Data 5. Sistem Pengambilan Keputusan 6. Sistem Artificial Intelligence 7. Jaringan Komputer 8. Sistem Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 13 No 2 (2020): Oktober" : 5 Documents clear
IMPLEMENTASI METODE SAW (SIMPLE ADDITIVE WEIGHTING) SEBAGAI PENDUKUNG KEPUTUSAN UNTUK REKOMENDASI HABITAT KELINCI BERBASIS IoT (INTERNET OF THINGS) Anderias Eko Wijaya; Nur Imam Iskandar
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 2 (2020): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i2.183

Abstract

Rabbits are mammals from the family Leporidae (green plant eaters) which can be found in many parts of the earth. Rabbits are very susceptible to temperature changes. Temperature greatly affects the rabbit's body metabolism. The temperature ideal for rabbits is in the range of 60 – 650F or equal to 15.5 - 18.30C temperature is known as "comfort zone" for rabbits. The level of heat stress in rabbits is very high in the tropics thereby reducing rabbit productivity. With a system that researchers can make it easier to determine the suitable place to serve as a rabbit habitat with the Internet of Things system network, and reduce the failure rate in keeping rabbits as well as the implementation of the node-ed as a platform to display the results of the calculation method of the decision. The system is applied using the SAW (Simple Additive Weight) ranking method or commonly called this weighted method by using three parameters including temperature; humidity; light. However, the data must go through a calculation that generates a value of each location then normalize to get a decision by the sum of the multiplication of normalization with weights. Implementation Methods of SAW (Simple Additive weighting) as Decision Support Habitat For Rabbits Recommendation Based IoT (Internet Of Things) has been successfully applied. So that it can rank rabbit habitat locations based on parameters of temperature, humidity, light. However, although the system is built based on IOT but has not publicly accessible or still based on the localhost.
SISTEM PENENTUAN GUDANG BERAS BERBASIS IOT MENGGUNAKAN METODE SAW PADA PLATFORM THINGSBOARD Timbo Faritcan Parlaungan S.; Agus Sudrajat
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 2 (2020): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i2.186

Abstract

Determination of Rice Warehouse Storage System, Kasomalamg is a system that can assist officers in maintaining Rice Storage. There are several factors that can affect the quality of rice security, namely, temperature, humidity, and dust. Which can affect the quality of rice becomes moldy and fast ticking.The purpose of this study is to determine the durability of rice storage with the quality of temperature, humidity, and cleanliness of the room with different values. Data calculated using the Microcontroller with DHT11 Sensor to read temperature parameters and humidity parameters as well as dust sensors that can read the thickness of the dust based on the Internet of Things. Then the data is processed using the ranking method with Simple Addictive Weight (SAW) to determine the storage of rice with the highest calculation results as the best rice storage.
SISTEM CERDAS PEMBERI PAKAN HAMSTER BERBASIS IoT (INTERNET of THINGS) MENGGUNAKAN METODE NAÏVE BAYES PADA PLATFORM NODE-RED Rian Hermawan; Nova Silviya
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 2 (2020): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i2.190

Abstract

Hamsters are rodents that have nocturnal properties, which means they are habitats that serve hamster activity that occurs at night. Caring for hamsters is not as easy as other people think. Several things need attention, one of which is to feed hamsters. Hamster feeding equipment that can be controlled and monitored remotely via an accessible internet network, allows hamsters to eat regularly, so the owner of the hamster can leave without worry. With the creation of an IoT (Internet of Things) based hamster feeding system using the Naïve Bayes method on the Node-Red platform, hamster owners can control hamster feeding remotely. The results obtained from this study are that the IoT-based animal feeder tool can be used by hamster keepers who are working far away or those who are busy and don't pay much attention to offering hamster feed.
SISTEM INFORMASI HASIL PANEN PADI KABUPATEN SUBANG BERBASIS WEB Ade Supriatna
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 2 (2020): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i2.191

Abstract

Rice production and productivity in Subang district must be easily informed by the Department of Agriculture in accordance with advances in information technology and the internet. This study is about data and information that is integrated into a computer-based information system related to the yield of rice crops. The computer-based rice yield report is intended to make it easier to enter data sourced from the corm area online. Then from the user (community) side it will be more practical and easier to get information. And services at the subang agriculture service do not always have to be directly in the office but can be done online. That way the reporting process, fast and structured.Reporting, which was originally still manual, was to recapitulate paper-based transactions and then switch to the application of web-based computer technology and the research method was quantitative.
IMPLEMENTASI METODE K-MEANS UNTUK KLASTERISASI LAHAN PERTANIAN STRAWBERRY DI DAERAH SUBANG BERBASIS IoT(INTERNET OF THINGS) Usep Tatang Suryadi; Rima Selviani
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 2 (2020): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i2.192

Abstract

Tingkat keasaman, kelembaban dan suhu udara pada tanah berpengaruh besar dalam pertumbuhan tanaman strawberry maka dari itu sangat dibutuhkan sebuah alat untuk mengetahui tingkat keasaman, kelembaban tanah ditambah suhu udara dan sistem klasterisasi tanah pertanian yang cocok untuk tanaman strawberry agar bisa dijadikan rujukan dalam merekomendasikan daerah mana saja yang cocok ditanami strawberry di lahan pertanian para petani di Daerah Subang. Data-data yang diproses oleh sistem didapatkan dari penelitan langsung ke lapangan dan pengambilan sampel tanah ke setiap titik daerah yang sudah ditentukan oleh penulis dengan berbagai pertimbangan mulai dari jenis dataran, suhu dan tingkat kekeringan tanahnya, data yang didapatkan adalah hasil dari sensor yang ditanamkan kedalam mikrokontroler dan disambungkan melalui sebuah jaringan hotspot dari smartphone lalu diproses menggunakan algoritma k-means clustering sehingga bisa diinputkan kedalam database menggunakan platform node-red. Data yang sudah masuk kedalam database bisa langsung diproses/dihitung dengan metode k-means yang sudah penulis tanamkan di dalam sistemnya, dan hasil akhir dari sistem ini kita bisa melihat hasil klasterisasi dari data yang sudah diproses oleh sistem menjadi 3 klaster dan penulis menggunakan 2 buah board mikrokontroler dan 3 sensor, untuk board mikrokontroler penulis memakai Arduino uno dan Node mcu ESP8266, untuk sensor penulis memakai sensor kelembaban tanah (soil moisture) dari China, sensor pH probe/ pH tanah , dan sensor suhu (DHT11) produk lokal dari Indonesia. Sistem yang dibangun menghasilkan klaster area pertanian yang cocok untuk budidaya tanaman strawberry.

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