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All Journal JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Engineering Jurnal Hilirisasi IPTEKS (JHI) CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking)
Rifki Suwandi, Rifki
Telkom University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Dentistry Electrical & Electronics Engineering Engineering Health Professions Public Health Veterinary Other

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Smart Room System for Paralysis Patients with Mindwave EEG Sensor Control Anandika, Arrya; Ferdian, Rian; Eriyandha, Alivia; Suwandi, Rifki; Hafidz, Muhammad
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1745

Abstract

Persons with disabilities experience physical, intellectual, mental, or sensory difficulties. One type of disability is paralysis. Paralysis is a condition where there is interference with the nerves that control body movement, causing the limbs to be unable to move. Paralyzed people will find it difficult to move without the help of others. Therefore, research was carried out by creating an intelligent room system to help persons with disabilities manage their own rooms so that they do not always have to be accompanied by a nurse. Paralyzed people can turn lights or fans on and off, and send help messages to their carers via the Telegram bot. This study used the NeuroSky Mindwave EEG headset which detects the user's brain signals with outputs in the form of attention level, relaxation level (meditation), and blink strength level. The resulting signal is processed via a PC and sent via NodeMCU to give commands in the form of turning lights and fans on or off, as well as sending messages to nurses. From this research a system was produced that could turn on the lights based on the value of Attention ≥ 70, turn on the fan based on the Meditation value ≥ 74, then the value of BlinkStrength ≥ 81 which was counted 2 times to turn off the lights, 3 times to turn off the fan, 4 times to turn off the lights and fan, and more than 4 times sending help messages
PENINGKATAN KETERAMPILAN MEDIA SOSIAL MELALUI PELATIHAN DIGITAL MARKETING PADA PELAKU UMKM “ACHI CRAFT GALERY” DI KECAMATAN KURANJI KOTA PADANG Marta, Revi; Suwandi, Rifki; Havifi, Ilham
Jurnal Hilirisasi IPTEKS Vol 7 No 4 (2024)
Publisher : LPPM (Lembaga Penelitian dan Pengabdian kepada Masyarakat) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v7i4.841

Abstract

The digital marketing training for “Achi Craft Galery” MSME players in Kuranji District, Padang City, aims to improve skills in digital marketing, especially through social media and packaging design. MSME players face significant challenges in the form of a lack of understanding of modern marketing strategies and limitations in utilizing digital technology, which has an impact on product sales. The activity methods include intensive training using the Canva graphic design platform, focus group discussion (FGD) sessions to identify marketing problems, and assistance in implementing digital marketing strategies. The targets of the activities included 6 MSME partners with various business fields under “Achi Craft Galery”. The results of the activity showed an increase in participants' skills in promotional design, understanding of social media algorithms, and the ability to develop digital marketing strategies. Participants were able to create attractive and informative flyer designs, improve product packaging quality, and utilize social media and e-commerce platforms such as Tokopedia and Instagram Shopping to expand the market. FGD sessions helped participants overcome technical and operational obstacles in digital marketing. The conclusion of this activity is that the training succeeded in increasing the competitiveness of MSMEs in the dynamic digital economy era. This success is reflected in the improvement of participants' technical skills, expansion of market access, and improvement of marketing quality. The program also has the potential to create sustainability through long-term development based on digital technology. Further assistance to support the implementation and development of marketing strategies is recommended.
Alat Koreksi dan Rekontruksi Tulisan pada Dokumen Lama Bahasa Indonesia Berbasis Mini PC Suwandi, Rifki; Kasoep, Werman; Destria, Ramon Luthvi
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 01 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.34-39.2023

Abstract

In the digital era, preserving old documents to prevent damage is a significant challenge. One solution to this problem is to reconstruct damaged or lost documents using image processing and natural language processing technologies. This article discusses the design of a tool for correcting and reconstructing writing in old papers and documents that can be implemented on a mini PC. The tool uses state-of-the-art algorithms such as Convolutional Neural Network (CNN) for character recognition and Optical Character Recognition (OCR), as well as Image Inpainting and Sequence-to-Sequence (Seq2Seq) algorithms for document reconstruction. Test results show that this tool can recognize characters with high accuracy and reconstruct damaged or lost documents effectively.
Sistem Pendeteksi Ketersediaan Tempat Duduk pada Perpustakaan berbasis Computer Vision: Studi Kasus : Perpustakaan Unand Ruangan The Gade Creative Lounge Khairunissa, Natasha; Suwandi, Rifki
CHIPSET Vol. 6 No. 01 (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.6.01.76-85.2025

Abstract

Libraries as information centers often face challenges in seating management, especially when visitor numbers are high. This can cause difficulties for new patrons in finding empty seats, as well as disrupting other patrons' activities. Existing solutions, such as reservation systems and sensors, are often less effective and face accuracy issues. This research proposes a computer vision-based empty seat detection system to improve space efficiency. Using Roboflow 3.0 object detection model trained on Roboflow GPU and implemented on Raspberry Pi 4B with webcam, this system detects and displays empty seats through website with room mapping. The model demonstrated performance with Mean Average Precision (mAP) 68.4%, Precision 70.4%, and Recall 68.7%, showing effectiveness in detection although there is still potential for accuracy improvement.
Sistem Pemantauan Kehadiran Piket di Sekretariat Berbasis Algoritma Haversine Zizilah Kaoy, Muhammad Herbi; Suwandi, Rifki; Pramawahyudi, Pramawahyudi
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.6.02.124-134.2025

Abstract

The lack of discipline in carrying out duty shifts at the student organization secretariat within the Faculty of Information Technology at Andalas University has become a serious issue, characterized by attendance manipulation and absenteeism among members. This problem negatively impacts the operational quality and reputation of the organization. Previous studies on attendance monitoring systems have utilized various technologies, such as RFID and biometric systems, which, while effective in reducing absenteeism, often face challenges in terms of cost, implementation complexity, and manipulation prevention. In response to these limitations, this study developed an attendance monitoring system based on the Haversine Algorithm, utilizing QR code technology for recording attendance and the Haversine Algorithm for monitoring the location of members during their shifts. Testing results indicated that the system achieved 100% accuracy in attendance recording and was able to monitor locations with an average error of 4.657 meters. Compared to previous systems, this approach offers a more cost-effective, easily implementable solution with enhanced transparency and reduced manipulation risk. Additionally, the system provides rapid and transparent attendance reports, with an average response time of 0.1 seconds. In conclusion, the system effectively enhances discipline and reduces attendance manipulation, making it a viable option for improving the management of student organizations.
Rancang Bangun Sistem Keamanan Helm dan Berkendara Berbasis Mikrokontroler Demita, Syukurillah Paradiqma; Yendri, Dodon; Suwandi, Rifki
CHIPSET Vol. 5 No. 01 (2024): 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.5.01.20-34.2024

Abstract

As a two-wheeled vehicle user, a problem that often occurs in the community is the loss of helmets when placed in the parking lot. This can happen due to lack of attention from security personnel at the parking location. Riders who do not use helmets can endanger themselves in the event of an accident. In addition to the use of helmets, speed in driving is one factor that needs to be considered because it has the potential to endanger yourself or others. This study aims to anticipate the occurrence of helmet theft and also provide safety in driving using survey research methods to determine the percentage of ease of use by users. Where the system designed consists of 4 functions, namely, detection of helmet location using the MQTT protocol where if the helmet position with the vehicle has a large distance of 40m then the helmet is detected to have been stolen so that it will issue a warning in the form of sound. The second system is vehicle speed detection using anemometer sensors, if the vehicle is detected to have a large speed of 50km / h then the helmet will issue a sound warning so that the driver can reduce driving speed. The third system is face detection around the helmet using ESP32-Cam, where if the helmet detects an unknown face through the face recognition feature with a distance of 15cm to 60cm from the helmet, the ESP32-Cam will take pictures. The last system is taking pictures periodically to find out the situation around the helmet. Based on research using a questionnaire with 30 samplers, a percentage of 74.95% was obtained, which means that the helmet is easy to use.
Alat Filling Adonan Cair Otomatis Untuk UMKM Berbasis Mikrokontroler Ariyadi, Hana Putri; Suwandi, Rifki
CHIPSET Vol. 5 No. 02 (2024): 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.5.02.110-115.2024

Abstract

Alat ini dirancang untuk mendukung kegiatan produksi pada UMKM, terutama dalam bidang pembuatan kue yang melibatkan adonan cair dalam produksinya. Seringkali pemilik usaha kue tersebut mengalami kerugian. Kerugian tersebut disebabkan oleh pengisian adonan yang kurang tepat karena dilakukan secara manual sehingga adonan tersebut memiliki ukuran yang tidak sama. Dengan menggunakan sensor dan komponen elektronik seperti mikrokontroler, pompa diafragma, dan sensor water flow, alat ini mampu memastikan isi atau volume adonan yang dikeluarkan sama pada setiap cetakan, sehingga dapat mengurangi risiko kerugian akibat ukuran kue yang tidak sama besar. Alat ini diharapkan dapat menjadi solusi dalam mengatasi ketidaktepatan saat pengisian adonan cair secara manual, sehingga kue yang dihasilkan sama besar untuk setiap cetakannya. Pengujian alat menunjukkan bahwa alat mampu bekerja pada adonan yang memiliki niali viskositas sekitar 1500-3000 cP. Alat ini dapat mengisi adonan sama banyak dengan rata-rata persentase keberhasilan 98,46% dengan 4 nilai viskositas yang berbeda.
Co-Authors Anandika, Arrya Ariyadi, Hana Putri Demita, Syukurillah Paradiqma Destria, Ramon Luthvi Dodon Yendri Eriyandha, Alivia Ilham Havifi Kasoep, Werman Khairunissa, Natasha Muhammad Hafidz, Muhammad PRAMAWAHYUDI, PRAMAWAHYUDI Revi Marta Zizilah Kaoy, Muhammad Herbi