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All Journal Jurnas Nasional Teknologi dan Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Engineering Indonesian Journal for Health Sciences (IJHS) Jurnal Hilirisasi IPTEKS (JHI) CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking) The Indonesian Journal of Computer Science
Lathifah Arief, Lathifah
Universitas Andalas
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Engineering Health Professions Nursing Public Health Veterinary Other

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

 1 
Sistem Otomatisasi Plant Factory dengan Tiga Jenis Tanaman Sayuran Berbeda Berbasis Mikrokontroler dan Android Hafizh Ramli; Lathifah Arief
CHIPSET Vol. 2 No. 01 (2021): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1318.327 KB) | DOI: 10.25077/chipset.2.01.20-32.2021

Abstract

Plant Factory is a technology concept that facilitates the formation of an environment that is suitable and good for plant growth, easy to control, does not require a large area of land, and is applied indoors so that it is not affected by outdoor weather conditions. Therefore created a system that automatically controls and monitors environmental conditions such as temperature, humidity and light. This system uses Arduino mega 2560 as a microcontroller, DHT22 temperature and humidity sensors to assess room temperature and humidity, RTC as an indicator of plant irradiation time, a micro SD module as data storage for sensors and actuators, and a Bluetooth module as a medium for data transmission. This actuator consists of a fan to control temperature, a humidifier to control humidity and an LED as a substitute for lighting plants. There are three plants as samples for testing the Plant Factory system, namely spinach, lettuce and mustard greens with each Plant Factory system for these plants. All temperature, humidity and actuator conditions can be monitored via the Android application. The plant factory automation system with three types of vegetable plants based on microcontroller and android is successfully running according to its function.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.374 KB) | DOI: 10.25077/chipset.2.01.33-40.2021

Abstract

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.
Penerapan Teknologi LoRa Dalam Sistem Komunikasi Early Warning System Untuk Mitigasi Bencana Tsunami Hadi Candra; Lathifah Arief; Dody Ichwana Putra
CHIPSET Vol. 2 No. 02 (2021): 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.2.02.69-77.2021

Abstract

Lora technology is implemented on prototype to carry out a Tsunami early warning system by sending a trigger code to sound the arduino. the sender uses Dragino LoRa LG01 outdoor while on the other side uses Dragino LoRa node and Arduino Mega. Triggers are input data from Dragino LoRa Gateway in form of string of data which is then converted and sent via LoRa communication. The data that arrives at the node will trigger the program to turn on the siren that has been keep in Arduino Mega. The application of this LoRa is to turn on the sire with a maximum distance. In this research also calculated the capacity of resource at the node that will be sent to the Gateway each time the trigger code is sent. Tests carried out in sub-urban areas with several distance parameters. The maximum distance that can be reached is 500 meters with Receive signal strong indicator (RSSI) -95. While the average time span since the trigger is sent untill the siren is sounded is 0.45 seconds.
Condition Monitoring System and Automatic Air Cleaning in the Toilet of Firebase-Based Andalas University Lecture Building Multri Okta Ilham, Randa; Hadelina, Rizka; Hersyah, Mohammad Hafiz; Arief, Lathifah
CHIPSET Vol. 6 No. 02 (2025): 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.6.02.117-123.2025

Abstract

Maintaining the cleanliness and comfort of toilets in lecture buildings is very important for the quality of the campus environment. This study develops a Firebase-based Automatic Air Condition Monitoring and Cleaning System in the restrooms of Andalas University lecture halls. The main problem identified is the lack of direct monitoring, which leads to the appearance of unpleasant odors and potential health problems. A survey showed that 64.8% of respondents sometimes felt unpleasant odors, while 59.3% indicated a lack of adequate air circulation.To solve this problem, the designed system is able to detect and monitor toilet conditions in real-time through gas measurements such as ammonia, hydrogen sulfide, and carbon monoxide using MQ-135, MQ-136, and MQ-7 sensors, the results of which can be monitored through a website. The system not only monitors, but also controls air quality by turning on the exhaust fan when the gas level exceeds a certain. Tests show that the system is accurate in detecting gas, with sensor precision above 90% and an average data transmission time of 1.74 seconds. However, the humidity measurement showed an error rate of 32.36%. The system effectively improves the hygiene monitoring of restrooms, thereby improving comfort and health on campus
Co-Authors Anjasmara, Rima Derisma Derisma Derisma Derisma Derisma Dini Ramadhani Salsabila Dodon Yendri Dody Ichwana Putra Fajril Akbar Fauzan Muhammad Hadelina, Rizka Hadi Candra Hafizh Ramli Hersyah, Mohammad Hafiz Heru Saputra Iqbal Saputra Kasoep, Werman M. Hafiz Hersyah M. Ridho Heranof Muhammad Abdul Hadi Muhammad, Fauzan Multri Okta Ilham, Randa Mutiah Risky Nefy Puteri Nefy Puteri Novani Nelia Afriyeni Novani, Nefy Puteri Purwoko, Agus Puteri, Nefy Rafika Oktova Ratna Aisuwarya Rauza Sukma Rita Rima Anjasmara Risky, Mutiah Salsabila, Dini Ramadhani Tri A Sundara Tri Sundara Tri Sundara, Tri Werman Kasoep Werman Kasoep Yolanda, Desta Yuni Anggraini