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All Journal Ethos Sistemasi: Jurnal Sistem Informasi Journal of Information Technology and Computer Science (JOINTECS) Jurnal CoreIT DoubleClick : Journal of Computer and Information Technology JUKI : Jurnal Komputer dan Informatika Jurnal Teknik Informatika (JUTIF) ABSYARA: Jurnal Pengabdian Pada Masyarakat International Journal Education and Computer Studies Dedikasi: Jurnal Pengabdian Kepada Masyarakat Room of Civil Society Development
Muhammad Furqan Rasyid
Universitas Dipa Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Comparison Of LBPH, Fisherface, and PCA For Facial Expression Recognition of Kindergarten Student Muhammad Furqan Rasyid
International Journal Education and Computer Studies (IJECS) Vol. 2 No. 1 (2022): MAY 2022
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v2i1.625

Abstract

Face recognition is the biometric personal identification that gaining a lot of attention recently. An increasing need for fast and accurate face expression recognition systems. Facial expression recognition is a system used to identify what expression is displayed by someone. In general, research on facial expression recognition only focuses on adult facial expressions. The introduction of human facial expressions is one of the very fields of research important because it is a blend of feelings and computer applications such as interactions between humans and computers, compressing data, face animation and face image search from a video. This research process recognizes facial expressions for toddlers, precisely for kindergarten students. But before making this research system Comparing three methods namely PCA, Fisherface and LBPH by adopts our new database that contains the face of individuals with a variety of pose and expression. which will be used for facial expression recognition. Fisherface accuracy was obtained at 94%, LBPH 100%, and PCA 48.75%.
Utilization of Telegram application As an Information Media Face Mask Detection Result Muhammad Furqan Rasyid; Andi Asvin Maherssatillah Suradi; Arham Arifin; Muhammad Rizal; Mushaf Mushaf
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i1.2264

Abstract

To know the results of the face mask detection system, one must be near a computer. This problem makes it difficult to reprimand and provide face masks to violators. One of the ways to prevent the spread of the virus is to wear a mask. This study focuses on making a face mask detection system connected to a cellular device. This study aims to make obtaining information more effortless, and monitoring officers can find out from a smartphone. As a medium of communication, we use the telegram application. Smartphone users widely use this application compared to existing messaging media applications. This study uses the YoloV4 algorithm to detect face mask and JSON to send information to the telegram application. The test consists of two stages, the first stage is to determine the accuracy of the face mask detection system and the second stage is to determine the average time required until the information is sent. The two tests performed obtained 97.57% and 0.255 seconds, respectively. The test results show that the system created can solve the existing problems. The researcher can do further research by increasing the number of datasets to increase the accuracy of face mask detection.Keywords: Face Mask Detection, JSON, Telegram Application, YoloV4 Algorithm. 
Aplikasi Pengolahan Citra: Kombinasi Edge Detection dan LBPH (Local Binary Pattern Histogram) Untuk Pengenalan Daun Herbal Muhammad Furqan Rasyid; Muhammad Syukri Mustafa
DoubleClick: Journal of Computer and Information Technology Vol 6, No 2 (2023): Perkembangan Teknologi Informasi
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/doubleclick.v6i2.12446

Abstract

Penelitian ini bertujuan untuk sistem pengenalan daun herbal dengan menggunakan teknologi pengolahan citra. Penelitian ini menghitung akurasi sistem pengenalan daun yang mengkombinasikan Edge Detection untuk mendeteksi dan LBPH untuk mengklasifikasikan daun herbal. Pengujian dilakukan terhadap 40 daun yang dikelompokkan menjadi 5 jenis daun herbal. Pengelompokan berdasarkan jenis daun yang paling mudah ditemukan di Indonesia. Pengujian dilakukan menggunakan metode confusion matriks. Dari hasil pengujian diperoleh kesimpulan bahwa kombinasi antara edge detection dan LBPH kurang baik untuk mengenali daun herbal.
Peningkatan Mutu Pembelajaran Guru Bidang Studi Basis Data dalam Menghadapi Ujian Kompetensi Keahlian (UKK) SMKS Mutiara Ilmu Makassar M. Syukri Mustafa; Komang Aryasa; Muhammad Furqan Rasyid
Room of Civil Society Development Vol. 2 No. 2 (2023): Room of Civil Society Development
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/rcsd.v2i2.191

Abstract

Uji Kompetensi Keahlian (UKK) merupakan penilaian yang diselenggarakan khusus bagi siswa SMK untuk mengukur pencapaian kompetensi peserta didik yang setara dengan kualifikasi jenjang 2 (dua) atau 3 (tiga) pada KKNI. SMK Komputer Mutiara Ilmu sudah mengikutsertakan siswa-siswinya dalam mengikuti UKK tersebut sejak tahun 2005 sampai saat ini. Dalam pelaksanaan UKK tersebut ditemukan adanya ketidak sesuaian antara soal yang diujikan dengan kurikulum yang diajarkan pada beberapa mata pelajaran tertentu. Kegiatan pelatihan pada pengabdian masyarakat ini diukur dengan memberikan Pretest dan Post Test kepada 11 peserta pelatihan. Hasil pengujian statistik non parametrik uji bertanda wilcoxon menunjukkan terdapat perbedaan bermakna antara kelompok PreTest dan PosTtest, atau adanya peningkatan nilai yang signifikan antara PreTest dengan PostTest.
A MACHINE LEARNING APPROACH TO EYE BLINK DETECTION IN LOW-LIGHT VIDEOS Muhammad Furqan Rasyid; Muhammad Rizal; Wilem Musu; Muhammad Sabirin Hadis
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 3 (2023): JUTIF Volume 4, Number 3, June 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.3.1024

Abstract

Inadequate lighting conditions can harm the accuracy of blink detection systems, which play a crucial role in fatigue detection technology, transportation and security applications. While some video capture devices are now equipped with flashlight technology to enhance lighting, users occasionally need to remember to activate this feature, resulting in slightly darker videos. Consequently, there is a pressing need to improve the performance of blink detection systems to detect eye accurately blinks in low light videos. This research proposes developing a machine learning-based blink detection system to see flashes in low-light videos. The Confusion matrix was conducted to evaluate the effectiveness of the proposed blink detection system. These tests involved 31 videos ranging from 5 to 10 seconds in duration. Involving male and female test subjects aged between 20 and 22. The accuracy of the proposed blink detection system was measured using the confusion matrix method. The results indicate that by leveraging a machine learning approach, the blink detection system achieved a remarkable accuracy of 100% in detecting blinks within low-light videos. However, this research necessitates further development to account for more complex and diverse real-life situations. Future studies could focus on developing more sophisticated algorithms and expanding the test subjects to improve the performance of the blink detection system in low light conditions. Such advancements would contribute to the practical application of the system in a broader range of scenarios, ultimately enhancing its effectiveness in fatigue detection technology.
Introduction Internet of Things Design for Students in SMKs Darul Ulum Layoa Bantaeng Muhammad Furqan Rasyid; Muhammad Rizal; Wilem Musu
ETHOS (Jurnal Penelitian dan Pengabdian) Vol 11 No.2 (Juni, 2023) Ethos: Jurnal Penelitian Dan Pangabdian Kepada Masyarakat (Sains & Teknolog
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/ethos.v11i2.11344

Abstract

Abstract. IoT (Internet of Things) technology is currently experiencing very rapid development. Several innovative and creative applications, most IoT-based, have been found. IoT underlies the existence of smart home technology. One of the advantages of smart home technology is that homeowners can control conditions and monitor home security using only one device. Unfortunately, at SMKs Darul Ulum Layoa, Bantaeng, Sulawesi Selatan (South Sulawesi), learning about IoT still needs to be improved. It becomes the basis for why we hold a community service activity. This activity provided understanding and training on the Internet of Things, which 40 teachers and students attended. Pretest and posttest methods are used to determine the activity's success level. Both results were processed using the SPSS (Statistical Package for the Social Sciences) method. SPSS is a statistical software used to perform data analysis, including descriptive and inferential analysis. By utilizing the Wilcoxon Signed Rank Test, an analysis of the data revealed a Z value of -5.026 and a p-value of 0.000. These findings indicate a significant difference between the pretest and posttest groups or a significant increase in scores between the pretest and posttest. Therefore, the intervention had a positive effect on the outcome being measured.
Deteksi Mata di Video Smartphone Menggunakan Mediapipe Python Muhammad Furqan Rasyid; Muhammad Syukri Mustafa; Andi Asvin Mahersatillah Suradi; Muhammad Rizal; Mushaf Mushaf; Arham Arifin
JOINTECS (Journal of Information Technology and Computer Science) Vol 8, No 2 (2023)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jointecs.v8i2.4562

Abstract

Teknologi deteksi mata digunakan untuk mengenali dan menganalisis fitur-fitur unik pada mata seseorang sebagai cara untuk mengidentifikasi atau mengautentikasi identitas seseorang. Teknologi ini dapat digunakan dalam berbagai aplikasi, seperti pengenalan pola, sistem biometrik, sistem pengawasan, dan lainnya. Kebanyakan aplikasi memerlukan ketepatan dalam mendeteksi mata, sehingga diperlukan metode deteksi mata yang cepat dan andal. Dalam penelitian ini, diajukan metode deteksi mata yang menggunakan library Python OpenCV dan MediaPipe, yang menawarkan akurasi yang lebih baik dibandingkan solusi yang sudah ada. Kedua pustaka tersebut diimplementasikan dalam bahasa pemrograman Python, yang populer di kalangan pengembang perangkat lunak karena kemampuan pemrograman berorientasi objek, kemampuan untuk memanipulasi dan memproses data dengan mudah, serta pustaka dan modul yang tersedia dalam berbagai bidang seperti kecerdasan buatan. Pengujian sistem dilakukan dengan menggunakan video yang diambil menggunakan telepon pintar. Meskipun video diambil dalam kondisi kurang optimal, yaitu dengan pencahayaan yang tidak sempurna, pengujian dilakukan pada 56 video yang memiliki kualitas cukup baik dengan durasi sekitar 5-10 detik. Hasil yang diperoleh menunjukkan tingkat akurasi yang mencapai 100%. Selain itu, sistem yang dibuat mampu membedakan antara kondisi mata terbuka dan tertutup, yang akan memudahkan penelitian selanjutnya dalam mendeteksi kedipan mata. Kesimpulan yang dapat diambil adalah model yang telah dibuat mampu mendeteksi mata dengan tingkat akurasi yang sangat tinggi
Pelatihan teknologi informasi pada kantor kelurahan Barrang Caddi Kepulauan Sangkarrang Nurul Aini; Erfan Hasmin; Heriadi Heriadi; Indra Samsie; Sitti Aisa; Muhammad Furqan Rasyid; Sriwahyuningsi Piu; Sunardi Sunardi; Sitti Harlina; Novita Sambo Layuk; Andi Asvin Mahersatillah Suradi; Arwansyah Arwansyah
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 4 No 1 (2023): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v4i1.15906

Abstract

As a public service provider, the sub-district office plays a crucial role in the issuance of referral letters and certificates. In this era of digitalization, effective and efficient administrative services are demanded, necessitating the improvement of staff knowledge and skills in information technology literacy. Hence, this community engagement activity aims to enhance the quality of administrative services by empowering human resources to operate computers and office applications at the Barrang Caddi Sub-district Office. The training program spans 3 days, encompassing Microsoft Word and Excel tutorials, as well as E-Mail usage. Enthusiasm was evident among the participants, which consisted of 7 sub-district office staff and 4 residents, as they actively engaged in the activities and completed the assigned tasks. The evaluation results demonstrate that the participants have comprehended and effectively applied the knowledge imparted during the training. The training materials have assisted the participants in optimizing their information technology knowledge and skills, such as efficiently managing administrative documents using Microsoft Office, operating E-Mail, and understanding the essential tools in Excel. This training validates the significance of information technology literacy efforts in sub-district office settings, particularly in areas with limited access to information. It is hoped that this community engagement initiative will continue and provide sustained benefits in enhancing administrative services and human resources quality at the Barrang Caddi Sub-district Office
Python Model Predicts Covid-19 Cases since Omicron in Indonesia Muhammad Furqan Rasyid
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 9, No 1 (2023): June 2023
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (322.8 KB) | DOI: 10.24014/coreit.v9i1.18908

Abstract

The proposed work uses Support Vector Regression model to predict the new cases, recovered cases, and deaths cases of covid-19 every day during sub-variant omicron spread in Indonesia. We collected data from June 14, 2022, to August 12, 2022 (60 Days). This model was developed in Python 3.6.6 to get the predictive value of the issues mentioned above up to September 21, 2022. The proposed methodology uses a SVR model with the Radial Basis Function as the kernel and a 10% confidence interval for curve fitting. The data collected has been divided into 2 with a size of 40% test data and 60% training data. Mean Squared Error, Root Mean Squared Error, Regression score, and percentage accuracy calculated the model performance parameters. This model has an accuracy above 87% in predicting new cases and recovered patients and 68% in predicting daily death cases. The results show a Gaussian decrease in the number of cases, and it could take another 4 to 6 weeks for it to drop to the minimum level as the origin of the undiscovered omicron sub-variant. RBF (Radial Basis Function) very efficient and has higher accuracy than linear or polynomial regression as kernel of SVR.
SOSIALISASI LITERASI DIGITAL PADA PELAKU UMKM DI PULAU KODINGARENG MENUJU “UMKM NAIK KELAS, UMKM GO DIGITAL” Sri Wahyuningsih Piu; Muhammad Rizal; Arham Arifin; Andi Asvin Mahersatillah Suradi; Muhammad Furqan Rasyid; Imran Djafar; Asmah Akhriana; Sitti Aisa; Santi Santi; Suci Ramadhani Arifin
Bestari: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 2 (2023)
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan (STKIP) Melawi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46368/dpkm.v3i2.1102

Abstract

Kodingareng Island is a small island located in the Spermonde Archipelago, South Sulawesi, Indonesia. Kodingareng Island does not have a large population or large development so that the number of MSME actors on this island may be limited. Digital literacy is becoming increasingly important for MSMEs, including on Kodingareng Island. To overcome the low level of digital literacy for MSMEs on Kodingareng Island, a team of Lecturers from Dipa Makassar University carried out community service activities in the form of socialization of digital literacy using a social campaign and media campaign approach to increase awareness and understanding of digital literacy issues. The purpose of this activity is to help MSME players recognize and overcome the challenges and risks associated with the use of digital technology. With effective dissemination of digital literacy, it is hoped that MSME actors can make the most of digital technology, while protecting themselves and contributing positively in the ever-evolving digital world.
Co-Authors Anak Agung Gede Sugianthara Andi Asvin Mahersatillah Suradi Arham Arifin Arham Arifin Arwansyah Arwansyah Asmah Akhriana Erfan Hasmin Harlina, Sitti Heriadi Heriadi Imran Djafar Indra Samsie Komang Aryasa M. Syukri Mustafa Muhammad Rizal Muhammad Rizal Muhammad Rizal Muhammad Sabirin Hadis Muhammad Syukri Mustafa Mushaf Mushaf Mushaf Mushaf Novita Sambo Layuk Nurul Aini Samsu Alam Santi Santi Sitti Aisa SRI WAHYUNINGSIH PIU Sriwahyuningsi Piu Suci Ramadhani Arifin Sunardi Sunardi Wilem Musu Wilem Musu