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CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking)

chipset
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Published by Universitas Andalas

ISSN : - EISSN : 27224422 DOI : https://doi.org/10.25077/chipset

Core Subject : Science, Engineering,

Computer Science & IT Electrical & Electronics Engineering Engineering

CHIPSET (Journal on Computer Hardware, Signal Processing Embedded System and Networking) is a scholarly periodical. CHIPSET will publish research papers, technical papers, conceptual papers, and case study reports. This journal is published by Computer Engineering Department at Universitas Andalas, Padang, West Sumatra, Indonesia. CHIPSET mainly discusses embedded devices, networking, and mobile computing engineering aspects.

Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)

Articles 86 Documents

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Sistem Monitoring Jumlah Pengunjung Ruang Rawat Inap Rumah Sakit Berbasis Android Daputri Karmita; Dodon Yendri
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

A Hospital is a health facility that aims to provide good health services for patients. The physical environment of the inpatient room also affects the patient's psychological condition. The inpatient room should raise optimism so that it can help the patient's healing process. Standard operating procedures in a hospital limit the number of visitors in each inpatient room. This is especially true in the class 1 inpatient room, where the number of patients is limited to two people and the maximum number of visitors limited to 2 people. However, even though the number of visitors to the hospital has been determined, many of the patients' families or relatives who want to visit violate these rules. This happens even though it has been prohibited or without the knowledge of the hospital staff. This paper describes the development of an Android based system to monitor the number of visitors to the hospital's inpatient room, streamlining the number of visitors to the hospital's inpatient room. The researcher uses a camera so that he can immediately capture the number of visitors in the room. The captured picture are processed in a Raspberry pi to count the number of visitors in the room, using tensorflow as an object detector (visitor). The system can then send notifications to the application when the number of visitors exceeds the safe limit. Researchers also use a mobile application to display monitoring results. so that with this system, the head of the hospital room and the hospital security guard can find out the number of visitors who are in the hospital inpatient room and the number of visitors who exceed the maximum limit.

Prototype Sistem Pendeteksi dan Penetralisir Asap Rokok pada Ruangan dengan Fitur Monitoring Suhu dan Kelembaban Firra Azzarah Trie Utami; Werman Kasoep; Nefy Puteri Novani
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

This research was conducted with the aim of detecting and neutralizing cigarette smoke in a room using a messaging applicationâ€”in this term is Telegram as notification to the user. The system is also equipped with room temperature and humidity monitoring features. In a room that is exposed to cigarette smoke does not have good air circulation, it will cause cigarette smoke not to come out quickly, this problem which will interfere with health, because of the smoke that is inhaled. In this case, we need a system that can detect and neutralize cigarette smoke. For cigarette smoke detection using the MQ-7 sensor, the DC fan and Ozone Generator will automatically turn on if the value on the MQ-7 sensor is greater than or equal to 74 Ppm and the system will also send a notification via Telegram that cigarette smoke is detected. This serves to neutralize air contaminated with cigarette smoke in the room. To monitor room temperature and humidity using the DHT11 sensor and the results of room temperature and humidity monitoring will be displayed on the mobile application.

Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO) Muhammad Abdul Hadi; Rian Ferdian; Lathifah Arief
CHIPSET Vol. 2 No. 01 (2021): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

The research aim to recognize potential weapon threats through object detection on camera. This research utilize YOLO (You Only Look Once) method in object detection which implemented on Raspberry Pi 4. The process was by detecting object from the camera and classify the object class in 2 available classes : Gun and Knife. Meanwhile, in the classifying process, it also count the object in every classes. When the system detect object in the process, it will send notification in terms of threat level through android application so that the user or operator can mitigate the threat immediately. From the research, we achieve the mAP of 85.12% in which YOLOv4 tiny is used and the testing is done inside a room environment. In its application in detecting weapon in Raspberry Pi 4, the result is around 1.53 fps (frame per second), in which is accommodate to be implemented on, but with a very limited fps.

Prototype Sistem Keamanan Pintu Kandang Dan Pemberian Pakan Ternak Puyuh Otomatis Berbasis Mikrokontroler Anisa Muhaimin; Mohammad Hafiz Hersyah
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

This research aims to build a system that can maintain the security of the cage, give feed quail automatically and weigh the weight of the feed by the needs of quail based on the time of eating quail per day. The system consisted of several components, namely fingerprint, SW- 420, buzzer, LED, relay, Arduino Uno, solenoid key, servo, RTC, and Load cell. Access is restricted by examining the authentication through a fingerprint on the fingerprint sensor. If access is granted, then the cage door will open. Otherwise, the door remain close, and if the door is tampered with or opened by force, the SW-420 will automatically detect vibration on the door and turn on the buzzer as a notification. On the part feeding, a separate container-shaped tube as feed storage will be mounted to the motor servo, and the load cell as a tool weighing the weight of the feed is mounted on the container. The servo spin (open) duration is adjusted by the load cell when weighing the feed coming out of the servo with the amount of feed out by the requirements set out in the range of 14-16 gr/session time. Feed that has weighed on the container is ready to be consumed by the quail.

ROBOT FOLLOWER PEMBAWA INFUS PASIEN RUMAH SAKIT BERBASIS MIKROKONTROLER ibnu sauki; Rian Ferdian
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

This study has the aim of designing a system that can carry intravenous fluids without human assistance, so it does not bother the patient in moving, this system is made of 2 components in the form of hardware where as hardware and software as software media, for hardware will use assistance from Arduino microcontroller, proximity sensor HC-SR04, DC motor, 11,1volt battery. which consists of 3 batteries, to be able to connect hardware, software or software is needed so that they can be connected to each other, the microcontroller used is an Arduino Uno, the system can run with input from the proximity sensor, which will read the position of the object that has been determined by the distance readings from the sensor, if the position of the object is known, the sensor will send input to the Arduino and process the input, after processing the Arduino will issue input which will be received by the L298N Driver where this driver regulates the rotational speed of the DC motor which will also rotate the wheels. so the robot can move and approach the object.

Smart Dispenser Menggunakan Voice Recognition Berbasis Mikrokontroler Antony Richardo; Dodon Yendri
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Voice recognition technology is one of the technological breakthroughs that is currently widely used. The operation of voice recognition is only by saying commands to control devices that are integrated with the user as a tool to facilitate human activities and even replace the role of humans in certain functions. In using the dispenser, it is necessary to choose cold or hot water and pull the faucet directly on the dispenser, while during a pandemic like today, we are required to reduce direct contact with objects that are used together. The use of the dispenser also has limitations for the amount of water released because it cannot be measured in a definite amount because there has been no research conducted to regulate the amount of water that is filled into the glass used by the user. For this reason, the use of the Voice Recognition module can be used as a solution to reduce direct touch to the dispenser because it utilizes voice commands given by the user and the Waterflow sensor is used to calculate the amount of water that will come out of the water faucet on the dispenser.

SISTEM KONTROL DAN MONITORING PH SERTA PEMBERIAN PAKAN IKAN OTOMATIS PADA AQUAPONIK BERBASIS MIKROKONTROLLER Teguh Dwiky Putra; Ratna Aisuwarya
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

The research was purposed to create an aquaponic cultivation system that can monitor and control the pH value and provide automatic fish feed based on time scheduling, and detect the amount of fish feed. Then the results of monitoring pH and the amount of fish feed in the feed will be displayed on the smartphone via the Telegram application. The components used in this system consist of NodeMCU, pH-4502C sensor, ultrasonic sensor, DC pump, servo motor, RTC, wiper pump. Aquaponic cultivation systems can be described as a combination of aquaculture (fish farming) and hydroponics (plant/vegetable cultivation without soil media). In addition to fish farming, fish feeding is generally done by humans manually. This has several drawbacks, namely the frequent feeding of fish that is not in accordance with the schedule and the amount of feed given is not measured. As a result of this, it can be in the form of lack of fish nutrition, stunted fish growth, illness, even causing fish death so that fish yields are not optimal. From the research conducted, the results obtained are the percentage of success in the process of monitoring and controlling the pH of the water according to the scheduled time with an accuracy of pH readings of 98.79% and an accuracy of controlling pH of 100%. The percentage accuracy of the amount of feed given is 99.201%. The percentage of accuracy of detecting feed volume is 60.348%.

Prototype Gelang Tangan Pendeteksi Jarak Physical Distancing Man To Man Robi Dwi Putra; Rahmi Eka Putri
CHIPSET Vol. 2 No. 02 (2021): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

This research is motivated by the phenomenon of the Covid-19 pandemic in several countries, one of which is in Indonesia. To avoid Covid-19 infection, the government has implemented several policies such as physical contact restrictions (physical distancing). When implementing physical distancing, a person is not allowed to shake hands and maintain a distance when interacting with other people, especially with people who are sick or at high risk of suffering from COVID -19. However, on the other hand, the physical distancing policy that has been implemented has not been maximized. This happens due to several factors. Among them is the existence of a misunderstanding in society that causes negligent nature in implementing physical distancing efforts. This journal focuses on the use of technology to calculate physical distance distances automatically using the calculation of the received signal strength indicator (RSSI) by utilizing Bluetooth low energy (BLE) as the communication medium. RSSI is a measurement of the power received by a wireless device. The basic principle of this system is the existence of connectivity between wristbands using Bluetooth communication media so that the system can calculate physical distance distances automatically using the RSSI value.

Penghitung Pengunjung dan Deteksi Masker Menggunakan OpenCV dan YOLO Agung Wibowo Ardiyanta Surbakti; Rahmi Eka Putri
CHIPSET Vol. 3 No. 02 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.3.02.83-93.2022

The spread of COVID-19 that occurs through droplets can be avoided by reducing contact between individuals, so it is necessary to limit visitors, especially in crowded places such as shopping centers to avoid transmission between visitors. This study utilizes YOLOv3 object detection to recognize objects from camera image input, which is implemented on the Raspberry Pi 4, to identify visitors and use masks. The results of the identification of human objects will be calculated to determine the number of visitors at the shopping center. Then a buzzer sound warning is given when visitors are not wearing masks, if visitors exceed the capacity limit, they are also given a warning via an android application to the building manager. The results of the model detection show the mAP value of 77.92% for 3 classes of mask objects, without masks and humans.

Rancang Bangun Buku Elektronik Menggunakan Mikrokontroler Dan Voice Recognition Module V3 Untuk Pencegahan Nomophobia Pada Anak Usia Prasekolah Harist Islami; Derisma; Desta Yolanda
CHIPSET Vol. 3 No. 02 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.3.02.94-101.2022

Nomophobia (no mobile phone phobia) is a form of phobia or fear that occurs for a person if they does not hold a mobile phone for some time then he will be stressed. This nomophobia should be prevented early on starting from the golden age of learning children 0-8 years by holding fun and interactive learning activities, because at that age the growth of the child's brain is calculated very quickly that is as much as 80%. To support their growth most of the parents, choose smartphones and gadgets of the like to support basic learning such as reading. This is because the learning offered to their child is interactive. However, it is certainly a challenge for parents to control and supervise children in using smartphones for learning activities. To solve the above, design electronic books using Microcontrollers and Voice Recognition Module V3 to support children's learning in addition to using smartphones in order to prevent nomophobia

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Contact Name
Rifki Suwandi

Contact Email
chipset@it.unand.ac.id

Phone
+6285263546500

Journal Mail Official
chipset@it.unand.ac.id

Editorial Address
Department of Computer Engineering, Faculty of Information Technology, Universitas Andalas, Limau Manis Campus, Padang 25163, West Sumatra

Location
Kota padang,

Sumatera barat

INDONESIA

Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Rifki Suwandi

Contact Email chipset@it.unand.ac.id

Phone +6285263546500

Journal Mail Official chipset@it.unand.ac.id

Editorial Address Department of Computer Engineering, Faculty of Information Technology, Universitas Andalas, Limau Manis Campus, Padang 25163, West Sumatra

Location Kota padang, Sumatera barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Rifki Suwandi

Contact Email
chipset@it.unand.ac.id

Phone
+6285263546500

Journal Mail Official
chipset@it.unand.ac.id

Editorial Address
Department of Computer Engineering, Faculty of Information Technology, Universitas Andalas, Limau Manis Campus, Padang 25163, West Sumatra

Location
Kota padang,

Sumatera barat

INDONESIA