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All Journal Jurnal ICT : Information Communication & Technology Jurnal Sains Indonesia Jurnal Sains Teknologi dan Sistem Informasi Journal of Scientech Research and Development Jurnal Teknik Mesin, Industri, Elektro dan Informatika AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan International Journal of Multilingual Education and Applied Linguistics International Journal of Computer Technology and Science International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science
Gema Parasti Mindara
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Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Pembuatan Sistem Lapor Komdisma Berbasis Web di Komisi Disiplin dan Kemahasiswaan SV IPB Nabila Fakhiratunisa; Merry Ardelia Wirastuti; Kaisar Renaisance Al-Ars; Diana Putri Rahmani; Mochamad Farras Fauzan; Naufal Alif Falah; Joddy Lintar Balle; Mira Fitria Dewi; Tria Febriyanti; Vandame Ronald Suhada; Gema Parasti Mindara; Ridwan Siskandar
Jurnal Sains Indonesia Vol 2 No 2 (2021): Volume 2, Nomor 2, 2021 (Juli)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v2i2.49

Abstract

Rapid technological advances affect the workings of individuals, organizations and companies. Komisi Disiplin dan Kemahasiswaan (Komdisma) SV IPB is a team of lecturers whose job is to monitor student discipline. In order to carry out its duties, Komdisma received reports of violations committed by students. However, the process of reporting student violations is still manual using books and paper, resulting in incompatible data, duplicate data, and the time to search and recap data. For this reason, a computerized information system is needed that supports the business process of reporting student violations so that business processes can run more efficiently. The purpose of making this web-based information system is to provide convenience and assist Komdisma in recording student violations so that the violation reporting process takes a relatively short time and produces reliable data.
Pembuatan Sistem Surat Bebas Komdisma Bebasis Website di Komisi Disiplin dan Kemahasiswaan SV IPB Merry Ardelia Wirastuti; Nabila Fakhiratunisa; Kaisar Renaisance Al-ars; Diana Putri Rahmani; Mochamad Farras Fauzan; Joddy Lintar Balle; Muhammad Shubhi Maulana; Mira Fitria Dewi; Tria Febriayanti; Vandame Ronald Suhada; Naufal Alif Falah; Gema Parasti Mindara; Ridwan Siskandar
Jurnal Sains Indonesia Vol 2 No 2 (2021): Volume 2, Nomor 2, 2021 (Juli)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v2i2.50

Abstract

The Discipline and Student Affairs Commission of SV IPB (KOMDISMA-SVIPB) is a unit that handles disciplinary and student affairs issues of SV IPB students. KOMDISMA-SVIPB provides services related to discipline and student affairs for students such as good behavior letters, komdisma free letters, and matters related to student organizations and student associations at SV IPB. KOMDISMA-SVIPB has a duty to provide komdisma free letters to final year students. In order to facilitate the task of KOMDISMA-SVIPB in giving free letters to final year students, a website based system is needed that is easy to use by the user in a predetermined process. The method used in making this komdisma free letter system is the Scrum methodology. The stages contained in the Scrum methodology are Pregame, Game, and Postgame. The result of this system is a komdisma free letter that has been signed by the chairman of KOMDISMA-SVIPB and can be downloaded by students from the system that has been created.
PENERAPAN TEKNOLOGI OCR PLAT NOMOR UNTUK MENINGKATKAN EFISIENSI DAN KEAMANAN AKSES KENDARAAN Nasywa Shafa Salsabila; Setiady Ibrahim Anwar; Ibnu Aqil Mahendar; Azhar Nadhif Annaufal; Mochammad Alwan Al Ataya; Endang Purnama Giri; Gema Parasti Mindara
Journal of Scientech Research and Development Vol 6 No 2 (2024): JSRD, December 2024
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v6i2.594

Abstract

Pertumbuhan jumlah kendaraan di Indonesia yang signifikan setiap tahunnya meningkatkan kebutuhan akan solusi yang efisien dan aman untuk manajemen akses kendaraan semakin meningkat. Penelitian ini mengkaji penerapan teknologi Optical Character Recognition (OCR) pada plat nomor untuk meningkatkan efisiensi dan keamanan dalam akses kendaraan, khususnya di area yang membutuhkan kontrol ketat seperti perkantoran dan pusat perbelanjaan. Metode yang digunakan adalah pendekatan kuantitatif eksperimental untuk menguji tingkat akurasi OCR dalam mengenali karakter pada plat nomor kendaraan. Hasil menunjukkan bahwa OCR mampu mencapai tingkat akurasi rata-rata 72% dalam mendeteksi plat nomor dan area asal kendaraan. Teknologi ini berpotensi besar meningkatkan efisiensi akses serta keamanan, mengurangi antrian, dan memudahkan pengelolaan area parkir.
Implementation of Automatic Attendance System Based on Face Recognition Using CNN Method in IPB University Vocational School Environment Dini Nurul Azizah; Raisa Mutia Thahir; Luthfi Dika Chandra; Muhammad Naufal Ardhani; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.94

Abstract

The research focuses on creating an automated attendance system using face recognition through the Convolutional Neural Network (CNN) approach at IPB University's Vocational School. The current manual attendance methods show limitations, such as potential inaccuracies in recording and the risk of cheating, like attendance proxies. To overcome these challenges, this study applies the CNN approach with Python and OpenCV, enabling automatic face detection and recognition for students. The system accurately logs attendance by identifying faces in real time. Testing indicates that the system records attendance reliably, whether with a single individual or with multiple faces present within a single frame.
Utilization of Digital Drawing Program With Hand Tracking Using the Mediapipe Framework Jovita Nabilah Azizi; Ester Olivia Silalahi; Rafli Damara; Muhammad Farhan Fahrezy; Fikri Saputra; Gema Parasti Mindara; Endang Purnama Giri
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.112

Abstract

This research focuses on the use of hand tracking technology in a drawing program based on the MediaPipe framework. The aim of this study is to develop a digital drawing system that can track hand movements in real-time without additional input devices like a mouse or stylus. This technology utilizes computer vision algorithms to detect and track the user's hand movements, which are then translated into strokes on the screen. The study employs a descriptive-qualitative method with a software experimentation approach. The results show that the system has a high level of accuracy and is responsive to hand movements, providing a more natural and intuitive user experience. The implications of this research are significant in supporting technology-based educational and creative applications.
Identification of Traditional Herbal Leaves and Their Benefits Using K-Nearest Neighbors (KNN) Nur Rahma Ditta Zahra; Kanaya Sabila Azzahra; Nur Iman Nugraha; Muhammad Ilham Nurfajri; Nabil Malik Al Hapid; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.113

Abstract

Abstract. This study presents a web-based system for identifying traditional herbal leaves using K-Nearest Neighbors (KNN) and image processing techniques focused on analyzing leaf shape and color. The dataset used consists of images of various types of herbal leaves, providing a basis for classification and medicinal benefit information retrieval. The system was tested with multiple leaf samples to assess accuracy, speed, and effectiveness in identifying leaf types based on visual characteristics. Results show that the system can recognize different types of herbal leaves and display information on their medicinal properties in a user-friendly interface..
Utilization of Image Processing to Detect Hair Length According to SOP at IPB Vocational School Using Region-Based Segmentation Alya Putri Salsabila; Achmad Syahmi Rasendriya; Muthia Nurul Sa'adah; Wahyu Mustika Aji; Rizky Fadlurohman; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.130

Abstract

This study utilizes image processing technology to detect student hair length in accordance with the Standard Operating Procedures (SOP) at IPB Vocational School. Manual supervision is often inefficient and prone to subjectivity, leading to the development of an automated detection system using a region-based segmentation approach. This method identifies the forehead area as a reference point, where hair is considered long if it exceeds specified limits. The system is implemented in a web-based application called Rambot, enabling students to verify their compliance with SOPs more easily. This technology aims to improve the accuracy and consistency of hair length monitoring.
Traspoter Application Development: Website-Based Automatic Garbage Classification Using CNN Method Bima Julian Mahardika; Budy Santoso; Aulia Anggraeni; Muhamad Ali Imron; Anatasya Wenita Putri; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.148

Abstract

This research focuses on the development of automatic waste classification by applying the Convolutional Neural Network (CNN) method in a web-based application. This system is designed to help the waste management process through automatic sorting between organic and inorganic waste, so that it can support recycling efforts and reduce environmental impacts. In its application, this application utilizes the CNN algorithm to analyze images and recognize the type of waste with good accuracy. The development uses technologies such as Python and OpenCV to ensure efficient processing of image data, with the CNN model trained using a dataset of 22,564 images. Test results show excellent accuracy, reaching 99.27% for organic waste and 98.72% for inorganic waste.
Enhancing Low-Resolution Facial Images for Forensic Identification Using ESRGAN Helena Dewi Hapsari; Arya Dimas Wicaksana; Hafiz Fadli Faylasuf; Asa Yuaziva; Rivanka Marsha Adzani; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.156

Abstract

This research is motivated by the challenges in facial identification for forensic investigations due to poor image quality, especially from low-resolution CCTV recordings. Images with noise, low lighting, and suboptimal angles often hinder accurate facial recognition. This study aims to examine the effectiveness of the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) method in enhancing the quality of forensic facial images. The methodology consists of three main stages: data preparation of low-resolution facial images, applying the ESRGAN model to enhance image resolution, and evaluating the results using metrics such as PSNR and SSIM. The findings reveal that ESRGAN significantly improves the visual details of facial images, thereby supporting better facial identification processes. These results have important implications for leveraging deep learning technology to facilitate image analysis in forensic contexts. However, challenges such as extreme noise presence require further development of methods to achieve more optimal outcomes.
Aplikasi Website dengan Flask dan Open CV untuk Filtering Warna Bagi Penderita Buta Warna Mia Putri Yeza; Marsya Halya Alfrida; Anka Luffi Ramdani; Fauzi Adi Saputra; Capriandika Putra Susanto; Endang Purnama Giri; Gema Parasti Mindara
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 4 (2024): Desember : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i4.4536

Abstract

Color blindness is a hereditary vision disorder that impairs the ability to distinguish certain colors, significantly affecting daily activities and quality of life. This study aims to develop a web-based application using Flask and OpenCV to assist individuals with color blindness in identifying colors accurately. The application incorporates image processing technology to enhance color contrast and simulate real-time color perception adjustments. Employing the Waterfall model of the Software Development Life Cycle (SDLC), the study encompasses requirements analysis, system design, implementation, testing, and maintenance. Key features include Camify, for real-time color adjustments via device cameras, and Pickerify, for detecting colors in uploaded or live images. Testing reveals the application's effectiveness in providing improved color perception for users with various types of color blindness (e.g., Deuteranopia, Protanopia, Tritanopia). Despite minor limitations under extreme lighting conditions, the intuitive user interface and robust functionality make the application accessible to diverse user groups. Future enhancements include integrating AI for personalized filters and expanding compatibility with emerging technologies.
Co-Authors Achmad Syahmi Rasendriya Aditya Wicaksono Alya Putri Salsabila Anatasya Wenita Putri Anggito Rangkuti Bagas Muzaqi Anka Luffi Ramdani Ari Dian Prastyo Arya Dimas Wicaksana Asa Yuaziva Aulia Anggraeni Azhar Nadhif Annaufal BAYU WIDODO Bima Julian Mahardika Budi Budi Budy Santoso Capriandika Putra Susanto Denty Nirwana Bintang Diana Putri Rahmani Dini Nurul Azizah Endang Purnama Giri Ester Olivia Silalahi Fauzi Adi Saputra Fikri Saputra Hafiz Fadli Faylasuf Hakim, Ghaeril Juniawan Parel Hassan Nasrallah Matouq Helena Dewi Hapsari Ibnu Aqil Mahendar Jasmine Aulia Mumtaz Joddy Lintar Balle Jonathan Cristiano Rabika Jonser Steven Rajali Manik Jovita Nabilah Azizi Kaisar Renaisance Al-Ars Kanaya Sabila Azzahra Keysha Maulina Halimi Kinaya Khairunnisa Komariansyah Kuntari, Wien Luthfi Dika Chandra Marsya Halya Alfrida Merry Ardelia Wirastuti Mia Putri Yeza Mira Fitria Dewi Mochamad Farras Fauzan Mochammad Alwan Al Ataya Muhamad Ali Imron Muhammad Al Amin Muhammad Farhan Fahrezy Muhammad Fillah Alfatih Muhammad Galuh Gumelar Muhammad Ilham Nurfajri Muhammad Naufal Ardhani Muhammad Rafi' Rusafni Muhammad Rahmat Maryadi Muhammad Shubhi Maulana Muhammad Yordi Septian Muthia Nurul Sa'adah Nabil Malik Al Hapid Nabila Fakhiratunisa Nasywa Shafa Salsabila Naufal Alif Falah Nur Iman Nugraha Nur Indah Chasanah Nur Rahma Ditta Zahra Rafli Damara Raisa Mutia Thahir Rajhaga Jevanya Meliala Rangga Wasita Ningrat Rayhan Ananda Hafiz Pradipta Reza Pratama Ridwan Siskandar Rivanka Marsha Adzani Rizki Juliansyah Rizky Fadlurohman Setiady Ibrahim Anwar Sharfina Andzani Minhalina Simangunsong, Gandi Abetnego Surya Agung Syah Bintang Tiara Ariyanto Putri Tria Febriayanti Tria Febriyanti Uding Sastrawan Vandame Ronald Suhada Wahyu Mustika Aji Wildan Holik