About Me:
I am a fresh graduate of Informatics Engineering from Institut Teknologi Adhi Tama Surabaya, specializing in data analysis and web development. With a strong technical foundation and hands-on experience, I have worked on various web development projects, leveraging frameworks such as Laravel, Tailwind, and Bootstrap to build intuitive and user-friendly applications. During my academic journey, I actively contributed as a web developer in both academic and community service projects, focusing on creating impactful digital solutions. My role as a laboratory and teaching assistant for Structured Programming and Data Structures enhanced my ability to guide others while solidifying my expertise in programming concepts. Additionally, I developed leadership and financial management skills as the treasurer of the Programming Language Laboratory. I also expanded my data analysis proficiency through the MIKTI MSIB Batch 6 program, where I honed my skills in data processing, visualization, and insights generation, preparing me for a competitive career in the tech industry. Now, as I embark on my professional journey, I am eager to apply my skills in data-driven decision-making, software development, and AI-driven solutions, while continuously learning and growing in the field of technology and innovation.
Connect & Find Me:
My Social
Support Me:
Qualification & Portfolio
Qualification:
Work Experiences
Freelance, Part-time, Full-time, and Others:
Institution | Status | Details |
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Freelance | Writer [November 2024 - Present] | |
Part-time |
Laboratory Assistant
[September 2022 - August 2024]
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Part-time |
Laboratory Assistant - Treasurer
[September 2023 - August 2024]
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Internships:
Institution | Details |
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Machine Learning Intern [March 2025 - April 2025] | |
Web Developer
[March 2024 - February 2025]
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Independent Study - Kampus Merdeka [February 2024 - June 2024] | |
Junior Web Developer [April 2023 - May 2023] |
Educations
Formal Education:
Institutions | Program Details |
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Bachelor of Computer Engineering, Informatics Engineering [September 2021 - February 2025] |
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High School Graduate in Natural Sciences [July 2017 - July 2020] |
Non-Formal Education:
Portfolio
Projects
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Machine Learning Task Implementation - Codveda Internship
- (March 2025 - April 2025)
As part of the internship program at Codveda Technologies, I worked on various Machine Learning tasks divided into three levels: Basic, Intermediate, and Advanced. Each level involves implementing ML algorithms using Python and libraries such as Scikit-Learn, TensorFlow, Keras, and Matplotlib.
💡 Highlights:-
✅ Data preprocessing (handling missing values, encoding, scaling). -
✅ Implementing Linear Regression, KNN, Logistic Regression, Decision Tree, K-Means Clustering models. -
✅ Developing Random Forest, Support Vector Machine (SVM), and Neural Network models. -
✅ Model evaluation using metrics such as accuracy, precision, recall, and confusion matrix. -
✅ Visualizing results using Seaborn and Matplotlib.
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Subbmission - Final Assessment Submission (2024)
- (September 2024 - October 2024)
This project is my submission for the Dicoding course about "Belajar Dasar Pemrograman JavaScript (Learn Basic JavaScript Programming)". The Web Book Collection allows users to see book collection.
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Submission - Web Book Collection Submission (2024)
- (September 2024 - October 2024)
This project is my submission for the Dicoding course about "Belajar Dasar Pemrograman Web (Learn Basic Web Programming)". The Web Book Collection allows users to see book collection.
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Analisis Sentimen Perbandingan Brand Laptop Menggunakan Metode Random Forest
- (August 2024 - February 2025)
This project aims to classify user sentiment toward various laptop brands based on YouTube comments. Data is collected through web scraping and processed using tokenization, filtering, stemming, and transformed using TF-IDF. A Random Forest model is employed for sentiment classification, evaluated using a Confusion Matrix and K-Fold Cross-Validation. The model achieves over 92% accuracy, with the majority of comments being positive. However, data imbalance slightly affects the detection of negative sentiments. This project offers valuable insights for laptop manufacturers to better understand user opinions and improve marketing strategies and product quality through sentiment analysis.
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Rancang Bangun Sistem Informasi Penelitian dan Pengabdian kepada Masyarakat ITATS Menggunakan Model Prototyping
- (August 2024 - February 2025)
The Research and Community Service Information System website at ITATS is designed to streamline the management of activities within the Research and Community Service Institute (LPPM). Built using the prototyping model, this platform allows students and lecturers to submit research and community service proposals online, simplifying the review and evaluation process. Additionally, the website offers access to schedules, guidelines, and important announcements related to LPPM activities. The primary goal of this system is to enhance efficiency, transparency, and accountability in managing LPPM programs, while also making it easier for students and lecturers to engage with and follow the offered programs.
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MySkill Short Class Task Monthly
- (May 2024 - March 2025)
Enrolled in a multidisciplinary training program covering various fields of expertise, such as Human Resources, Digital Marketing, English & Postgraduate Scholarship Preparation, Product & Project Management, Microsoft Excel, Finance & Accounting, Software Engineering, Graphic Design, Sales & Business Development, Data Analysis, and UI/UX Research & Design.
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Rancang Bangun Sistem Informasi Manajemen Penilaian Pondok Pesantren Ribath Daruttauhid Ta'lim-Tahfidh
- (May 2024 - July 2024)
Community Service Program / Field Work (KKN) building a website for report card assessment management at Pondok Pesantren Ribath Daruttauhid (Ta'lim-Tahfidh).
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Rancang Bangun Sistem Informasi Profil Perusahaan Pondok Pesantren Ribath Daruttauhid Ta'lim-Tahfidh
- (May 2024 - July 2024)
Community Service Program / Field Work (KKN) building a website for company profiles at Pondok Pesantren Ribath Daruttauhid (Ta'lim-Tahfidh).
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Rancang Bangun Sistem Informasi Manajemen Pengumpulan Dokumen Skripsi Mahasiswa dengan Menggunakan Model Waterfall
- (March 2024 - July 2024)
As part of my Practical Work (KP), I developed a Thesis Document Management Information System for the Informatics Engineering Study Program at Adhi Tama Institute of Technology (ITATS). This system is designed to streamline the collection and management of graduation data, as well as thesis documents, improving the efficiency of the administrative process. Built using the Waterfall model, the system follows a structured development approach, ensuring clear and systematic progress from requirement analysis to implementation. The primary goal of this system is to enhance administrative efficiency, simplify thesis document collection, and provide faster and more accurate access to graduation data for both students and administrative staff.
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Analysis of Flight Delays and Airline Performance (Capstone Project)
- (May 2024 - June 2024)
MIKTI Independent Study Batch 6 Program - Capstone ProjectCase Study will be shown Troubleshooting Flight Delays and Airline related Case analysis with Python Programming on Google Collaboratory and visualized using Bar Chart, Line Chart, and Scatter Plot.
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Impact Analysis Covid-19 (Case Study Project)
- (May 2024 - May 2024)
MIKTI Independent Study Batch 6 Program - Case Study ProjectCase Study will be shown Troubleshooting COVID-19 related Case analysis with Python Programming on Google Collaboratory and visualized using line chart and line chart interactive.
Publications
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Medium
Latest Publications
Banner Titles Scraping Book Data from “Books to Scrape” with Python Using BeautifulSoup: Advanced Version (V2)
This tutorial covers how to scrape book data and images from the "Books to Scrape" website using Python & BeautifulSoup. Learn the Advanced of web scraping techniques and automate data extraction.
Scraping Book Data from “Books to Scrape” with Python Using BeautifulSoup: Basic Version (V1)
This tutorial covers how to scrape book data from the "Books to Scrape" website using Python & BeautifulSoup. Learn the basics of web scraping techniques and automate data extraction.
Cloud-Based Python Notebook: How to Use Google Colab with Free GPU/TPU Access
This article explains how to utilize Google Colab for cloud-based Python notebooks, offering free access to powerful GPU/TPU resources for better performance and productivity.
Want to read more articles? Visit my Medium page for more publications!
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Proceedings and Journals
ProceedingsLatest Publications
Publications Titles SEMTIK (Seminar Implementasi Teknologi Informasi dan Komunikasi)
22 Agustus 2024Rancang Bangun Sistem Informasi Manajemen Pengumpulan Dokumen Skripsi Mahasiswa dengan Menggunakan Model Waterfall
Makalah ini menyajikan pengembangan Sistem Informasi Manajemen untuk pengumpulan dokumen skripsi mahasiswa menggunakan model Waterfall. Sistem ini bertujuan untuk memperlancar proses manajemen dan pengorganisasian pengajuan skripsi mahasiswa, memastikan penyimpanan dan pengambilan dokumen yang efisien. Model Waterfall dipilih karena pendekatannya yang terstruktur, yang memungkinkan pengembangan sistematis dan dokumentasi yang jelas di setiap tahap. Proses pengembangan meliputi analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Keefektifan sistem dievaluasi melalui pengujian black-box, mencapai tingkat keberhasilan rata-rata sebesar 89%. Hal ini menunjukkan bahwa sistem memenuhi persyaratan fungsional dan berfungsi sesuai yang diharapkan. Selain itu, sistem ini juga mendapat umpan balik positif dari pengguna akhir, yang menyatakan bahwa sistem ini mudah digunakan dan sangat membantu dalam manajemen dokumen skripsi. Hasil penelitian menunjukkan bahwa sistem yang diimplementasikan dapat secara signifikan meningkatkan manajemen dokumen skripsi, menyediakan solusi yang andal dan ramah pengguna bagi institusi akademik. Pengembangan lebih lanjut dapat mencakup penambahan fitur tambahan seperti integrasi dengan sistem informasi akademik lainnya dan peningkatan keamanan data. Studi ini menunjukkan potensi metodologi pengembangan sistem terstruktur seperti Waterfall dalam menciptakan sistem manajemen yang efektif dan efisien untuk institusi pendidikan.
JournalsLatest Publications
Publications Titles JITET (Jurnal Teknik Informatika dan Teknik Elektro Terapan)
7 Agustus 2024Sistem Deteksi Penyakit Pada Otak dengan Pendekatan Klasifikasi CNN dan Preprocessing Image Generator (DOI: 10.23960/jitet.v12i3.4371)
In today's digital era, artificial intelligence technology has become an important part of various human activities, including in the healthcare sector. One of its focal points is the detection of brain diseases, which have significant implications for health and medical expenses. This study addresses the issue of accuracy in brain disease detection through the utilization of Convolutional Neural Network (CNN) methodology and preprocessing Image Generator. Previous research suggests that CNN with preprocessing Image Generator has the potential to enhance detection accuracy. The research employs the Computed Tomography (CT) of the Brain dataset from Kaggle, comprising 259 data points categorized into three classes: aneurysm, tumor, and cancer. Experimental findings indicate that the CNN method with preprocessing Image Generator yields higher accuracy in both training and testing phases, with reduced complexity. In conclusion, this method holds promise for more effective detection of brain diseases.
Skill and Tools
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Pronouns: He/Him