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All Journal Jurnal Teknologi Informatika dan Komputer SIGMA: Information Technology Journal SAINTEK
U. Darmanto Soer
Universitas Pelita Bangsa
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Penerapan Internet of Things (IoT) Pada Sistem Pengaman Pintu Menggunakan Modul Nodemcu ESP8266 Berbasis Telegram Endah Yaodah Kodratilah; Nur Sodik; U. Darmanto Soer
Jurnal SIGMA Vol 13 No 1 (2022): Maret 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Technological developments are carried out to support human needs to be more practical in life, one of which is in the household sector. This is the basis of this research. By using NodeMCU and Arduino Uno as microcontrollers for Smart Home systems with the IoT concept. With the creation of a Smart Home system with the IoT concept, it is hoped that the value of efficiency and security can be achieved at home. In this research, NodeMCU is implemented as a microcontroller in Smart Home system with IOT concept. This system is designed by using Telegram Messenger and keypad as input or notification media on this system. When inputting chat, the chat input data is read by the program for verification. If the verification is not successful then the system does not respond followed by reprogramming the chat input, if the verification is successful then the BOT will respond then send an input signal to the microcontroller for processing, after processing the microcontroller will send an output signal (On/Off) to be sent to the relay which will be forwarded to the output components (Solenoid Door lock, magnetic sensor, Buzzer). By implementing a Smart Home system with the IoT concept, we can take advantage of existing technology. The Smart Home system with the IoT concept is also safe because only people who have certain access can control the house such as unlocking the door and turning on the magnetic sensor remotely. Keywords: NodeMCU ESP8266, Arduino Uno, magnetic sensor, door solenoid, relay, power supply, buzzer, telegram and arduinoIDE
Perancangan Sistem Informasi Peminjaman Buku Perpustakaan SMAN 2 Cikarang Utara Menggunakan PHP dan MySQL U. Darmanto Soer; Wahyudi Wahyudi
Jurnal SIGMA Vol 12 No 1 (2021): Maret 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Library SMAN 2 North Cikarang not using the means of internet or computer and still use manual methods to manage the catalog of books and other administration. Due to its management is considerable and complicated as well as to address some of the issues that arise over the solutions that can be applied is to Designing Information System Application Library Books At SMAN 2 North Cikarang. To keep books neatly arranged, organized by category respectively, and can increase the accuracy of the low in the recording process of borrowing books can be overcome with the new system. Development of the proposed system is done in two stages, namely, the stage of data collection methodology comprised interviews, field studies, literature studies and the next stage is the development of software with waterfall method, using the Application Programming PHP, and MySQL as the database server. For system design tool using Data Flow Diagrams (DFD), Entity Relation Diagram (ERD), Data Dictionary, as well as hardware and software specifications. With the Book Lending Library Information System, is expected to assist officers in serving the transaction Library borrowing and returning library books. And makes it easy for members of the Library make the process of borrowing and returning books at the Library of SMAN 2 North Cikarang. Keywords: Information Systems, Web, Library, Waterfall, PHP, MySQL
Implementasi Nodemcu ESP8266 Untuk Penghematan Energi Listrik Studi Kasus Di Kontrakan Dr. Alik U. Darmanto Soer
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The widely proposed technological model of increasing savings in electrical energy at overuse is an interesting topic for many studies because of the effects of excess electricity usage itself. And the technology model applied is a smart home for this problem, using a microcontroller for automatic devices using a motion sensor, namely a PIR (passive infrared) sensor for controlling lights in a room. With this method can reduce and save the cost of using lamps in vain from forgetting to turn off the lights. And the device will turn on the light when it detects movement and will turn off the light when it doesn't detect any movement. by using the Kwh cost calculation algorithm, we will find out the costs to be paid from the number of times the lights are on. The test results show that this device can work well according to the design with a success rate of 100%.. Keywords: NodeMCU, Smart Home, Remote Relay, Sensor PIR
Analisis Sentimen Terhadap Pemerintahan Ridwan Kamil Sebagai Gubernur Jawa Barat Menggunakan Algoritma Naïve Bayes U. Darmanto Soer; Sutrisno Sutrisno
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.7782

Abstract

The use of social media in the era of globalization is very necessary for some circles including the regional leader, in the period of his tenure, Ridwan Kamil received various inputs and criticisms, and in this case the authors conducted research to analyze public sentiments towards the elected governor. And in this study the authors use the Naïve Bayes algorithm to classify sentiments and look for the preference values because the algorithm has a pretty good accuracy. From the results of tests conducted using cross validation techniques and accuracy measurements using confusion matrix with 10 times the best accuracy testing obtained was 84.38% and the positive response obtained from the calculation of preference value was 49%. Thus it can be concluded that the Naïve Bayes algorithm can be used to classify quite well and be able to measure the community's response to regional leaders. Keywords: Sentiment Analysis, Twitter, Naïve Bayes Classifier, Cross Validation, Preference Value
Analisis Sentimen terhadap Pemerintahan Ridwan Kamil sebagai Gubernur Jawa Barat Menggunakan Algoritma Naïve Bayes U. Darmanto Soer; Sifa Fauziah; Sutrisno Sutrisno
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1976

Abstract

Penggunaan sosial media di era globalisasi sangat diperlukan bagi sebagian kalangan tidak terkecuali pemimpin daerah. Dalam satu tahun masa jabatanya, Ridwan Kamil mendapatkan berbagai pujian masukan maupun kritikan. Penelitian dilakukan untuk menganalisa sentimen masyarakat terhadap gubernur terpilih Ridwan Kamil. Pengumpulan data dilakukan dengan menggunakan proses crawling data Twitter menggunakan software Orange 3. Tahapan preprocessing terdiri dari proses Remove Duplicates yang bertujuan untuk memfilter data tweet yang sama, dan proses Cleansing yang bertujuan untuk membersihkan data dari noise atau ganguan. Document Processing terdiri dari beberapa proses berikut, Transform Case, Tokenize, Filter Token by Length, Filter Stopwords, Stemming, dan Generate N-Grams. Penelitian ini menggunakan algoritma Naïve Bayes untuk melakukan klasifikasi sentimen dan mencari nilai preference value dikarenakan algoritma tersebut memiliki akurasi yang cukup baik. Dari hasil pengujian yang dilakukan menggunakan teknik cross validation dan pengukuran akurasi menggunakan confusion matrix dengan dilakukan 10 kali pengujian akurasi terbaik yang diperoleh adalah 84,38 %. Respon positif masyarakat terhadap kepemimpinan Ridwan Kamil yang didapatkan dari hasil penghitungan preference value adalah 49%. Sedangkan nilai respon positif tersebut dapat berubah-ubah, dikarenakan respon masyarakat dan data yang diperoleh dapat berubah sewaktu-waktu. Dengan demikian dapat disimpulkan bahwa algoritma Naïve Bayes dapat digunakan untuk melakukan klasifikasi dengan cukup baik dan dapat mengukur respon masyarakat terhadap pemimpin daerah.
Minimalisasi Resiko Kualitas Barang dengan Metode Algoritma Regresi Linier dalam Memprediksi Barang Defect U. Darmanto Soer; Sifa Fauziah; Uswatun Hasanah
Jurnal Teknologi Informatika dan Komputer Vol. 10 No. 1 (2024): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v10i1.2273

Abstract

Barang merupakan sesuatu yang dapat ditawarkan ke pelanggan untuk mendapatkan perhatian untuk dibeli atau digunakan agar dapat memenuhi keinginan dan kebutuhan pelanggan. Pemanfaatan data produk dan defect dapat digunakan dalam melakukan proses tahapan data mining dan pemodelan untuk memprediksi jumlah produk defect di suatu waktu. Penerapan model persamaan algoritma Regresi Linear sederhana dapat diimplementasikan dimana hasilnya juga menunjukkan sebuah wawasan baru bagi kebutuhan prediksi terhadap jumlah produk defect. Model persamaan Regresi Linear sederhana setelah dibandingkan hasil perhitungan secara aktual (observasi) dan juga dengan aplikasi Rapid Miner secara umum menunjukkan kemiripan hasil. Evaluasi dan pengujian performa menggunakan aplikasi Rapid Miner juga dapat menghasilkan gambaran yang relevan dengan skenario yang dimodelkan. Nilai (Root Mean Squared) RMSE juga didapat saat melakukan evaluasi performa model yang diterapkan, dengan nilai RMSE sebesar 0,483 dengan standar deviasi ± 0,0. Rekomendasi yang diberikan adalah: Perbanyak data dalam rentang bulan lebih panjang yang akan digunakan dalam penelitian selanjutnya agar dapat meningkatkan nilai akurasi dari model prediksi terhadap jumlah produk defect dimasa mendatang. Pengembangan model dengan menggabungkan beberapa metode dan algoritma yang dapat digunakan dalam memprediksi sesuatu sehingga diharapkan memberikan hasil yang lebih variatif dan bisa dimanfaatkan dalam pengambilan kebijakan dan strategi pengendalian jumlah produk defect dan meningkatkan nilai RSME dari model prediksi yang diharapkan.
Co-Authors Endah Yaodah Kodratilah Nur Sodik Sifa Fauziah Sutrisno Sutrisno Uswatun Hasanah Wahyudi Wahyudi