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Frangky Silitonga
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LPPM-Institut Teknologi Batam The Vitka City Complex Jl. Gajah Mada, Tiban, Batam, Kepulauan Riau, INDONESIA 29425
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Jurnal Quancom: Jurnal Quantum Komputer
Published by Institut Teknologi Batam
ISSN : 29881005     EISSN : 29880998     DOI : -
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal Quantum Komputer adalah jurnal yang fokus pada bidang Teknik komputer atau rekayasa komputer khusus yang mengkombinasikan teknik elektro dan ilmu komputer. Jurnal ini secara konten akan mempublikasi berkaitan erat dengan perancangan, pengembangan dan sistem -sistem berbasis komputer. Artikel yang dapat diisi dalam jurnal Teknik Komputer ini mencakup: Internet of Things (IoT), Robotic, Artificial Intelligence, network. Jurnal ini akan terbit dua kali dalam setahun, pada Juni dan Desember
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 11 Documents
 1   2 
MEKANISME KEAMANAN MESIN LAS RESISTANSI MENGGUNAKAN SENSOR INFRA MERAH PASIF BERBASIS TEKNOLOGI MIKROKONTROLER Nadjamudin; joni eka candra
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 1 (2023): JUNI 2023
Publisher : LPPM-ITEBA

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Abstract

Arduino is an open-source based microcontroller derived by wiring platform that has its own programming language and is designed to facilitate the designer of electronic devices in various fields. The main component is a microcontroller chip with AVR type from Atmel company.In the world of intelligent system electronics are widely used microcontroller devices, both as controls, displays, sensor readings and data processing. Now, there is a type of microcontroller that is easy to use and quickly mastered the Arduino. There are various types of arduino in terms of size, function and the complexity of its function. By understanding the basic principles of microcontroller work in its application on arduino, the design of electronic equipment can be easily realized.
SMART GREENHOUSE UNTUK BUDIDAYA TANAMAN HIDROPONIK MENGGUNAKAN ARDUINO BERBASIS TELEGRAM Hani; Luki hernando
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 1 (2023): JUNI 2023
Publisher : LPPM-ITEBA

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Abstract

Rapid development times on eraglobalisasi currently, has demanded a man to always be inspired and give new ideas in developing appropriate and advanced technology, which can help human beings in ease in carrying out daily activities such as water activity, batam city is one of the industrial cities also have growing land that has been widely used by some people who choose to open businesses in the farming activities in the form of greenhouse, but due to too much a flurry led to a lack of time and lack of cost in hiring another person to replace such activities. so with the existence of these problems made an automatic plant watering tools (smart green house) with the arduino which is already designed back by leveraging application telegram as a means of controlling from a distance, after a testing on prototype watering plants automatically, it can be seen that each of the components used are already working in accordance with the order in which they had already determined by the percentage of success amounting to 90%. and the results obtained at the time when the appliance is turned on the wifi module nodemcu will be directly connected to the wifi signal already inputed into the arduino ide, and soil sensors will detect the status of the land that has been rapid thrusting with the soil sensors and then submit the application to the soil status conditions telegram as an indication to receive the next command.
PENERAPAN APLIKASI ANDROID UNTUK ALAT MONITORING KESEHATAN MANUSIA Kevin; joni eka candra
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 1 (2023): JUNI 2023
Publisher : LPPM-ITEBA

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Abstract

The purpose of this research is to realize an Android-based human health condition monitoring tool, to combine Pulse sensors, DS18B20 temperature sensors and sound sensors as a tool for monitoring Android-based human health conditions, to provide new alternatives for the procurement of more health monitoring tools. cheap. The objects to be measured are 3 indicators, namely measurement of heart rate, body temperature, and breathing which input data through DS18B20 temperature sensor, Pulse sensor, Sound sensor. For measurement of heart rate and respiration measurements are carried out for 1 minute. The measurement results will be displayed on the LCD then the measurement data will be sent to the Android application via Bluetooth HC-05. The results of the study through later measurements were compared with manual measurements and using a thermometer for measuring body temperature. Based on the research data it can be concluded that all the circuits are going well, there are small differences between the measurement results manually or with a thermometer with measurements using research tools, the percentage of temperature sensor error DS18B20 0.33%, Pulse sensor 2.46%, Sound sensor 4.84% so that this tool can be a measuring tool for health monitoring. This tool is expected to be further developed by combining other health indicators.
DESAIN PENGISIAN TANGKI PENYIMPANAN AIR OTOMATIS MENGGUNAKAN SOLENOID VALVE BERBASIS ARDUINO DAN SENSOR AIR maranti; Deosa Putra Caniago
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 1 (2023): JUNI 2023
Publisher : LPPM-ITEBA

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Abstract

The distribution of waterwhichis limited to certain hours, repairs andmaintenanceof water distribution pipescan causethe flowof water flowing fromthe company managing the water to housing to be disrupted, this results in disruption of activities that require clean water. The design of filling an automatic water storage drum using an Arduino microcontroller, a water sensor, a solenoid valve, and an LCD is expected to help in the design of automatic water drumfilling andcan help in storingwaterautomatically. In the designof anautomatic drum water storage device that has been made obtained the results of the success of the tool is 92%. With a success value of 92% it is expected that the design of this tool can help overcome the problem of the availability of clean water.
IMPLEMENTASI ARDUINO UNO UNTUK DETEKSI KEBAKARAN HUTAN fajar; Muhammad Abrar Masril
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 1 (2023): JUNI 2023
Publisher : LPPM-ITEBA

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Abstract

Forest is a gift from the Almighty God that we have to preserve, forests are very useful in the survival of humans, but due to human activity itself can damage forests such as cutting down trees wildly and burning forests to make land. The most forest fires occur from year to year, namely Indonesia resulting from forest fires will have a lot of negative impacts that occur on all living things. Therefore a forest fire detection system is needed to minimize forest fires. In this study the authors made a forest fire detection system using an Arduino-based microcontroller. The tools used are in the form of Arduino uno, Arduino mega 2560, fire sensor, MQ-7 smoke sensor and sim 800l module this tool is made so that the fire does not spread and expand. the workings of this system are when the fire and smoke sensors detect fire and smoke in the forest location, the data will be processed and directly the forested sim800l module sends sms to the sim800l module located in the office according to the number specified and the data received will produce output in the form of sirens from the buzzer, marker lights, and LCD as a description of the location of the fire. From the results of all testing tools that are made to work as expected. It can be concluded that each sensor has the maximum distance to detect smoke and fire, the sim800l module sends a message in 10 seconds, and the sound of the siren on the buzzer will live according to the conditions specified.
Rancang Bangun Robot Mobile Pengawasan Berbasis IoT(Internet Of Things) Menggunakan Kamera ESP-32 Andrian Syah; Deosa Putra Caniago
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 2 (2023): Desember 2023
Publisher : LPPM-ITEBA

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Abstract

Teknologi Robot kini tidak hanya membantu manusia dalam melakukan segala aktifitas, namun teknologi yang ada sekarang membantu manusia untuk dapat memudahkan di dalam melakukan pengawasan dalam berbagai lingkungan, dari banyak nya kasus kejahatan dan beberapa kasus tindak kriminal yang ada di Tanjungpinang penelitian ini dilakukan di perumahan, untuk membantu keamanan yang sebelumnya konvensional menjadi lebih flexible, dengan metode pada penelitian ini adalah Experiment yang digunakan adalah Robot Kontrol Mobile berbasis IoT(Internet Of Things), robot ini menggunakan Mikrokontroller ESP32Cam dengan Output yang digunakan menggunakan Teknologi WebSocket sehingga pengguna dapat menggunakan secara efisien dan realtime, robot ini dilengkapi juga dengan Pant Tilt Servo yang digunakan untuk menggerakan kamera Sekaligus Mikrokontroller. Pengujian dan pengambilan sample data yang digunakan adalah dengan menguji kekuatan sinyal, jarak tempuh, dan sistem kontrol. Hasil yang diperoleh dalam beberapa pengujian alat adalah pada jarak tempuh 16 Meter dengan Kekuatan Sinyal -70 dbm tanpa adanya halangan, dengan hasil kesimpulan bahwa robot dapat di kendalikan secara nirkabel dan dapat dikontrol menggunakan WebSocket.
Rancang Bangun Alat Bantu Deteksi Warna Bagi Penderita Buta Warna Dengan Output Suara Berbasis Internet Of Things (IoT) Maranti Nainggolan; Joni Eka Candra
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 2 (2023): Desember 2023
Publisher : LPPM-ITEBA

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Abstract

Buta warna adalah gangguan penglihatan yang menyebabkan penderitanya tidak dapat membedakan warna. Penderita buta warna sering mengalami kendala dalam menjalani aktivitas sehari-hari, seperti memilih warna pakaian, kesulitan belajar dengan materi yang membutuhkan perspektif warna seperti tabel dan grafik. Selain itu, ketidakmampuan untuk melihat warna dapat membatasi orang yang menderita buta warna dalam bekerja, seperti pengemudi kendaraan, pelaut, pilot dan teknisi elektronik. Salah satu solusi untuk mengatasi masalah tersebut adalah dengan membangun alat pendeteksi warna dan aplikasi android berbasis Internet Of Things yang bertujuan untuk membantu penderita buta warna mengenali warna. Komponen utama untuk merancang sistem deteksi warna terdiri dari TCS3200 sensor warna dan NodeMCU Esp8266. Penelitian ini menggunakan metode eksperimen dengan pendekatan kuantitatif untuk memperoleh data penelitian. Hasil dari penelitian ini adalah aplikasi buta warna yang dapat menampilkan data warna yang terdeteksi, berupa gambar berwarna, teks dan suara. Pengujian waktu deteksi rata-rata untuk setiap warna adalah merah (2,12 detik), hijau (3,07 detik), biru (3,41 detik), kuning (2,49 detik), coklat (4,5 detik), hitam (3,12 detik), nila (3,07 detik), ungu (2,6), oranye (3,15 detik), magenta (2,42 detik) sedangkan akurasi masing-masing warna adalah merah, hijau, biru, kuning dan coklat sebesar 100%, hitam dan ungu sebesar 70%, nila 90%, oranye 80%, dan magenta 60%.
IMPLEMENTASI TEKNOLOGI COMPUTER VISION PADA ALAT PENGHITUNG BOTOL AIR MINUM KEMASAN DI INDUSTRI MENGGUNAKAN METODE HSL Hani Khairiyah; Muhammad Abrar Masril
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 2 (2023): Desember 2023
Publisher : LPPM-ITEBA

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Abstract

Industri pengemasan air minum kemasan merupakan sektor yang berkembang pesat dalam respons terhadap permintaan global akan air minum yang praktis dan bersih. Alat penghitung botol air minum kemasan adalah komponen kunci dalam proses produksi yang bertujuan untuk memenuhi standar kualitas dan kuantitas yang ditetapkan oleh peraturan dan harapan pelanggan. Meskipun berperan krusial, alat ini seringkali dihadapkan pada sejumlah permasalahan yang memerlukan perhatian mendalam. Abstrak ini membahas permasalahan utama yang melingkupi alat penghitung botol air minum kemasan, termasuk ketidaknyamanan pengguna, kesalahan operasional, kerentanan terhadap gangguan teknis, dan masalah terkait kepatuhan regulasi. Dalam rangka mengatasi permasalahan ini, metode HSL digunakan sebagai pendekatan yang holistik. Metode HSL mengintegrasikan pemahaman tentang aspek manusia (pengguna), sistem (alat dan perangkat lunak), serta lanskap (lingkungan regulasi dan sosial) untuk mengidentifikasi masalah, mengukur dampaknya, dan merancang solusi yang tepat. Melalui penerapan metode HSL, diharapkan bahwa alat penghitung botol air minum kemasan dapat ditingkatkan dalam hal efisiensi operasional, keandalan, dan kepatuhan terhadap regulasi yang ketat, sekaligus meminimalkan dampak negatif terhadap pengguna dan lingkungan. Dengan demikian, industri pengemasan air minum dapat terus berperan dalam memenuhi tuntutan konsumen akan air minum yang berkualitas, praktis, dan aman. Adapun hasil data penelitian yang disajikan dengan menggunakan rumus akurasi yang didapat dari hasil uji coba yang telah di lakukan, untuk mengetahui berapa persen tingkat keberhasilan dari alat yang telah di buat. Dan hasil persentase keberhasilan di alat ini sebesar 67% untuk 3 kali percobaan
Sistem Keamanan Penghuni Apartemen Menggunakan Computer Vision Dan Raspberry Pi Pritami Sergio; Zainul Munir
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 2 (2023): Desember 2023
Publisher : LPPM-ITEBA

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Abstract

This research aims to design and implement a security system for apartments that combines computer vision technology with notifications via the Telegram application. This system is based on the Raspberry Pi 3 Model B+ to detect the face of a person in front of the door via a connected camera, and sends notifications to residents via Telegram messages. Thus, this system effectively and automatically increases the level of security and provides residents with real-time access to information about the ongoing security situation in their apartments. This research explains the technical implementation of this system and its potential to increase the sense of security of apartment residents. Test results for familiar faces have an accuracy rate of 96% and for unfamiliar faces they have an accuracy rate of 96%.
Implementasi Sistem Pendeteksi Penyakit Pada Daun Singkong Dan Daun Cabai Berbasis Machine Learning Karel Chavez; Luki hernando
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 2 (2023): Desember 2023
Publisher : LPPM-ITEBA

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Abstract

The development of artificial intelligence is currently experiencing very rapid growth, both in hardware and software development. Artificial intelligence has succeeded in creating various products that are used in everyday life. These products can be classified into four techniques in artificial intelligence, namely searching, reasoning, planning and learning. This research discusses the implementation of a disease detection system on cassava leaves and chili leaves based on machine learning. The aim of this research is to develop a system that can automatically detect diseases in cassava and chili plants through leaf image analysis using machine learning technology. The method used involves recording digital images and machine learning algorithms to recognize disease patterns and symptoms on plant leaves. In this research, a dataset containing images of disease-infected leaves is used to train a machine learning model. The test results show that the implemented system is able to recognize and differentiate various diseases on cassava and chili leaves with sufficient accuracy. Implementation of this system makes an important contribution in supporting the monitoring and management of plant diseases quickly and efficiently, which in turn can help farmers increase their agricultural productivity.

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