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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 6 Documents
 1 
Search results for , issue "Vol 13 No 1 (2020): April" : 6 Documents clear
SISTEM MONITORING KANDANG BURUNG PUYUH BERBASIS INTERNET OF THINGS PADA PLATFORM NODE-RED MENGGUNAKAN METODE NAIVE BAYES Aa Zezen Zaenal Abidin; Nasrulloh Abdul Aziz Saragih
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 1 (2020): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i1.164

Abstract

Salah satu aktivitas ternak yang popular di Indonesia adalah ternak burung puyuh. Rentannya burung puyuh mengalami kematian yang bisa menyebabakan kegagalan panen melatarbelakangi penulis melakukan moniting kandang burung puyuh. Pada penelitian ini secaraa khusus dilakukan pengembangan system pada layer aplikasi dan layer servis di system berbasis internet of thing dengan melakukan penggunaan platform Node-Red dan pembuatan basis data local menempung data dari platform. Data akan dianalisis menggunakan salah satu metode data mining berupa metode naïve bayes. Digunakan sensor LDR dan DHT11 untuk melakukan akuisisi data sushu, kelembaban dan intensitas cahaya. Jika sushu kandang melebihi atau sama dengan 34 derajat celcius, lampu dalam kandang akan mati dan jika Jika data kurang dari sama dengan 33 derajat selsius, maka system akan menyalakan lampu dalam kandang.. Selain itu digunakan juga beberapa komponen lain seperti Arduino Mega 2560, NodeMcu ESP8266, dan media jaringan computer serta cloud application berupa platform Node-Red. Dapa diimplementasikan proto type system monitoring kandang burung puyuh berbasis IoT pada platform Node-Red menggunakan metode Naïve Bayes. Terhadap Data yang diperoleh dilakukan pengujian akurasi dan diperoleh nilai akurasi 80 persen. 
IMPLEMENTASI METODE WEIGHTED PRODUCT DALAM MEMONITOR GUDANG PENYIMPANAN ROTI BERBASIS INTERNET OF THINGS PADA PLATFORM NODE-RED Anderias Eko Wijaya; Haris Nurjaman
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 1 (2020): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i1.165

Abstract

The weighted Product (WP) method is one method that can be used in the decision-making process to determine the best candidate. In this study, the WP method is used to determine the bread storage for Roti Kuro Subang.Roti Kuro Subang is one of the business units currently engaged in the processing of food products, especially bread. As the business unit develops, a bread storage warehouse is needed. To help the Roti Kuro Subang determine the bread storage warehouse needed a system that can recommend the most suitable bread storage warehouse. The method used in making this system is the Weighted Product (WP) method. This method was chosen because it can provide the best choice from several alternatives. The inclusion of an Internet of Thing (IoT) concept in this study can improve accuracy in determining the value of criteria in several alternatives.The web platform used is Node-red and the database used is MySQL. The results of this study are to provide alternative bread storage that is most suitable for the Roti Kuro Subang.
SISTEM PERINGKAS TEKS OTOMATIS MULTI DOKUMEN KLIPING ARTIKEL BERITA GEMPA MENGGUNAKAN METODE TF-IDF Aa Zezen Zaenal Abidin; Enung Nurjanah
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 1 (2020): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i1.166

Abstract

New technology is increasingly evolving so that internet users can find out the news on the internet quickly. Most news stories about the earthquake make it difficult for readers to know the news contents in depth. Because of this, summarizing multi-document texts is important. So that readings are fast and easy and information can be obtained briefly. With the summarization of the text the reader can know the clippings of earthquake news briefly not only from one document but several documents or multiple documents can be done, at least from two documents. The author constructs a prototype multi-document text summarizing system using the term frequency inverse document frequency (TF-IDF) method for breaking the content of documents into sentences, discarding characters, breaking sentences into words, giving weight values to words, adding weight values, measuring idf and TF values -IDF in order to obtain the word weight value of each sentence, t Each document's summary is merged and summarized again, so as to become the third summary as a combination of two documents. Web-based tools are used, the programming language used is PHP and MySQL DBMS. This application can implement multi-document automatic text summarizing news article clippings on the internet TF-IDF method. This system can help find out the important contents of many news article clippings on the internet. the system has the accuracy of the results of the respondent's test 54.45% and the similarity test document accuracy is 78,023%
RANCANG BANGUN SISTEM PENGIDENTIFIKASI TRAVEL BAG PADA KELOMPOK BIRO PERJALANAN UMROH/HAJI BERBASIS WEB Timbo Faritcan Parlaungan S.; Dede Wisnu
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 1 (2020): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i1.167

Abstract

The development of Information Technology, one of which is engaged in Umrah Travel services. One of them is the process of recording and identifying the ownership of Umrah or Hajj participant bags. Recording done manually or on paper will make it difficult to identify the bag because it is at great risk for damage or loss.Web-based information systems that run on computer networks integrated with microcontroller hardware can be utilized for digital data recording and bag identification. The use of a system with a digital method will facilitate the identification of bags. Which will be faster and data stored securely.The design and manufacture of a web-based travel bag identification system using a microcontroller is a solution for the application of recording data and identification of participant bags from the Umrah or Hajj travel agency. By using this system the travel agency and participants will feel safe and comfortable because the risk of bag swapping is minimal. In addition, all bag and owner data is stored digitally and can be accessed.
IMPLEMENTASI METODE FUZZY TAHANI DALAM MENENTUKAN REKOMENDASI PEMBELIAN LAPTOP (Studi kasus di Toko Mega Alvindo Kalijati Subang) Yuli Murdianingsih; Isti Isbahatunnisa
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 1 (2020): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i1.169

Abstract

Possible customers for laptops come from various walks of life. There are definitely laypeople whoalso understand from the context such as the history of IT education, and so on. To help providerecommendations in the purchasing of laptops, especially with variable type laptops, displayscreen widths, prices, memory capacity and hard disk capacity, a decision-based system isrequired where the machine uses the fuzzy tahini process. The case study was performed at theKalijati Subang district store in Mega Alvindo. 10 Laptop data records were selected andmembership functions for the laptop type variable, screen width, price, memory capacity, and harddisk capacity were created. Having reached the degree of variables. The recommendation systemis further developed through the design and implementation of a database, the design andimplementation of a web-based interface. A laptop purchasing recommendation system can beimplemented using the Fuzzy Resistant method with variable type laptops, monitor screen width,price, memory capacity and hard disk capacity.
SISTEM CERDAS PEMANTAU KENYAMANAN RUANG KELAS BERBASIS INTERNET OF THINGS (IoT) MENGGUNAKAN METODE K-MEANS PADA PLATFORM THINGSPEAK Usep Tatang Suryadi; Sri Saraswati
Jurnal Teknologi Informasi dan Komunikasi Vol 13 No 1 (2020): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v13i1.170

Abstract

Monitoring the comfort of classrooms within a certain timeframe for the room is one that is quite important to do. Increased humidity, temperature, sound, the light will affect the concentration of teaching and learning. In designing this system, the author intends to design a convenience monitoring system based on the internet of things (IoT) so that its scope is wider. This study aims to group data into clusters using the Data Mining method, the K-means Clustering algorithm. Data is grouped based on this similarity data so that data with the same characteristics will be in one cluster. The attributes used are humidity, temperature, sound, and light. The results of K-Means Clustering obtained were 3 groups, cluster center with cluster 1 = 47.76; 26.07; 61; 92; 3602 clusters 2 = 58; 29; 59.5; 502 and cluster 3 = 60; 30.25; 58,75; 769,75. The cluster with the highest value is cluster three. Iteration of data grouping occurs 4 times iteration. Sistem yang diterapkan dalam sistem ini adalah sistem pemantauan kenyamanan kelas. Sistem pengambilan mengambil dan menghitung data fisik untuk membentuk kelembaban, suhu, suara, cahaya melalui sensor menjadi informasi di ruangan yang dipantau menggunakan mikrokontroler Arduino Mega2560 dan sensor DHT11, LDR, Kondensor yang terhubung ke hal-hal yang berbicara. Algoritma K-means dapat melakukan pengelompokan yang baik pada sistem yang sedang dibangun.

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