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Aplikasi Pendeteksi Fokus Mahasiswa Dalam Melakukan Pembelajaran Menggunakan Mimik Muka Nasution, Wahyu Esya; Ibnugraha, Prajna Deshanta; Alfarisi, Muhammad Rizqy
Journal of Applied Engineering and Social Science (JAESS) Vol. 1 No. 1 (1): December 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jaess.v1i1.6561

Abstract

Masa pandemi Covid-19 membuat metode pembelajaran yang awalnya berbasi luring harus berubah menjadi daring. Hal tersebut tentunya memiliki pengaruh terhadap tingkat fokus mahasiswa, mahasiswa yang memiliki fokus rendah dapat membuat mahasiswa tersebut mendapat nilai yang kurang baik. Dosen juga akan merasa kesusahan mengawasi satu persatu mahasiswanya pada pembelajaran berbasis daring. Berdasarkan masalah tersebut diadakan penelitian tentang sistem yang dapat mendeteksi fokus mahasiswa dalam melakukan pembelajaran. Sistem tersebut dapat mendeteksi keadaan mahasiswa yang sedang mengantuk ataupun yang sedang fokus pada saat pembelajaran. Hasil penelitian ini menunjukkan bahwa pendeteksian wajah menggunakan metode Haar Cascade Classifier dapat mendeteksi wajah saat kondisi wajah tidak terhalang suatu benda dan memiliki kondisi cahaya yang mencukupi. Orang yang sedang tidak fokus sering menutup mata lebih dari 14 kali dan menguap lebih dari 4 kali. Sedangkan orang yang sedang berada dalam kondisi fokus jarang menutup mata dan menguap. Didapatkan pula tingkat akurasi sebesar 80% terhadap pendeteksian yang dilakukan terhadap 10 orang dalam jangka waktu 5 menit.
Pendeteksi Objek Berupa Sampah Di Area Kampus Telkom University Iqbal Syaifullah Azhary; Prajna Deshanta Ibnugraha; Setia Juli Irzal Ismail
Journal of Applied Engineering and Social Science (JAESS) Vol. 2 No. 2 (2024): November 2024
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jaess.v2i2.8381

Abstract

Garbage is an item that is produced from human activities and other living things that are no longer used. Garbage willbecome an environmental problem if not managed this properly. The large activity from Telkom University students meansthat most students throw garbage inappropriately when they are on the campus. This garbage problem can make thecampus environment very uncomfortable, due to lack of trash cans in areas that are rarely traverse by people. there aremany technological tools that can help to detect garbage. Which one of this is machine learning. Machine learning is artificialintelligence that helps humans to make a system and one of them is an object detection system. By using machine learningfor object detection system, the campus can check garbage that is thrown away carelessly. In this final project, a system willbe built that can detect objects in the form of garbage through a camera using an experimental based method. As for thesystems and tools used, Yolov5 as the model of the system and Raspberry Pi as the main computer. The results obtainedfrom object detection system are to help the campus detecting garbage in Telkom University campus area.
The Reliability Analysis for Information Security Metrics in Academic Environment Ibnugraha, Prajna Deshanta; Satria, Anas; Nagari, Fabian Sekar; Rizal, Moch Fahru; NonAlinsavath, Khamla NonAlinsavath
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1593

Abstract

Today, academic institution involves digital data to support the educational process. It has advantages, especially related to ease of access and process. However, security problems appear related to digital data. There were several information security incidents in the academic environment. In order to mitigate the problem, metrics identification is required to determine the risk of incidents. There are many risks model and metrics to estimate the risk, such as DREAD, OWASP, CVSS, etc. However, specific metrics are required to obtain appropriate risk values. Therefore, this study aims to define metrics for an academic institution. The proposed metrics are obtained from The Family Educational Rights and Privacy Act (FERPA) regulation. It consists of directory information, educational information, personally identifiable information, and risk of information leakage. In order to achieve the objective, this study involves survey and reliability analysis to result in output. The survey is conducted by involving 90 respondents with various levels of education and jobs. The Cronbach's alpha and Test-retest are methods to determine this study's reliability. According to reliability analysis, the Cronbach's alpha method results in coefficients for the metrics between 0.730 - 0.911, while the Test-retest method results in coefficients between 0.630 - 0.797. These coefficients have a reliable category, so the proposed metrics are adequate for determining risk of information security incidents in academic environments. The reliable metrics will be developed as variables of the risk assessment model for the academic environment in the future study. 
Proses digitalisasi pada lingkungan sekolah alam Gaharu Prajna Deshanta Ibnugraha
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 4 No. 2 (2024): The Proceeding of Community Service and Engagement (COSECANT) Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v4i2.8589

Abstract

Sekolah Alam Gaharu mengintegrasikan empat pilar pendidikan yang diyakini menjadi faktor kunci keunggulan umat manusia, yaitu pilar akhlaq, ilmu, kepemimpinan, serta Pilar Bisnis dan Kewirausahaan. Pada pilar ilmu, pendampingan teknologi digital menjadi hal penting baik dalam pembelajaran maupun dukungan operasional di lingkungan sekolah alam Gaharu. Digitalisasi tersebut menjadi tantangan bagi sekolah alam Gaharu karena tidak tersedianya sumber daya untuk mengimplementasikan kondisi tersebut. Oleh karena itu, program PkM ini bertujuan untuk mengimplementasikan teknologi informasi dan komunikasi (TIK) untuk mendukung proses operasional di sekolah alam Gaharu.
engembangan Aplikasi Berbasis Web Untuk Pemesanan Buku Tamu Digital Pada PT Adhivasindo Aldhi Raqiswandri; Prajna Deshanta Ibnugraha; Setia Juli Irzal Ismail
Journal of Applied Engineering and Social Science (JAESS) Vol. 4 No. 1 (2026): July 2026
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jaess.v4i1.11127

Abstract

Perkembangan teknologi informasi mendorong banyak perusahaan untuk melakukan digitalisasi layanan, termasuk dalam bidang penyelenggaraan acara. PT Adhivasindo melalui produknya AWH menawarkan layanan Website Undangan Digital yang dilengkapi dengan fitur Buku Tamu Digital. Namun, fitur tersebut hanya dapat diakses jika pelanggan memesan undangan digital tipe Exclusive. Seiring meningkatnya permintaan dari pelanggan yang hanya menginginkan fitur Buku Tamu Digital tanpa harus membeli undangan digital, dibutuhkan solusi yang lebih fleksibel. Oleh karena itu, proyek ini bertujuan untuk mengembangkan sebuah aplikasi berbasis web yang memungkinkan pemesanan Buku Tamu Digital secara mandiri. Aplikasi ini dirancang menggunakan teknologi web modern dengan antarmuka yang user-friendly. Proyek yang dibuat menggunakan Framework Laravel dan pembuatan API backend dengan Codeigniter 3. Hasil dari pengembangan ini diharapkan dapat memberikan kemudahan bagi pelanggan, memperluas pasar, dan meningkatkan kualitas layanan digital yang ditawarkan oleh PT Adhivasindo.
Integrating CVSS, OWASP, and APPI for a Comprehensive Risk Analysis of SQL Injection Vulnerabilities in E-Commerce Muhammad Kholilul Adrian; Prajna Deshanta Ibnugraha; Hilal Hudan Nuha
Intechno Journal : Information Technology Journal Vol. 7 No. 1 (2025): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2025v7i1.2184

Abstract

Purpose: By integrating the technical severity evaluation provided by the Common Vulnerability Scoring System (CVSS), the business risk assessment framework of the OWASP Risk Rating Methodology, and the legal compliance standards outlined in Japan’s Act on the Protection of Personal Information (APPI), this study aims to conduct a holistic risk analysis of SQL injection vulnerabilities within e-commerce platforms. The primary objective is to offer stakeholders a robust and actionable model for enhancing the security of online shopping environments. Methods/Study design/approach: This study employed a mixed-methods experimental case study approach. A custom-built, intentionally vulnerable e-commerce web application was subjected to a simulated SQL injection attack to extract fictitious user and transaction data. The technical severity of the vulnerability was quantified using CVSS v3.1, while the OWASP Risk Rating Methodology was applied to assess the associated business risks. Additionally, the legal implications were evaluated in accordance with Japan’s Act on the Protection of Personal Information (APPI). Result/Findings: The simulation confirmed that a SQL injection attack could extract sensitive personal and transactional data. The vulnerability was rated “Critical” with a CVSS v3.1 score of 9.1, and the OWASP assessment indicated a “High” business risk due to financial impact, APPI non-compliance, and privacy violations. The leaked purchase history was classified under APPI as “Personal Information Requiring Special Attention.” Novelty/Originality/Value: This study’s main contribution is its integrated methodology that links CVSS, OWASP, and APPI frameworks to assess cyber threats. It offers a multidimensional view, showing how a technical vulnerability can lead to serious legal and business consequences under specific data protection laws.