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All Journal INTEGER: Journal of Information Technology IKRA-ITH Informatika : Jurnal Komputer dan Informatika JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Bulletin of Computer Science Research JAMAIKA: Jurnal Abdi Masyarakat Abdi Jurnal Publikasi LOGIC : Jurnal Ilmu Komputer dan Pendidikan AMMA : Jurnal Pengabdian Masyarakat APPA : Jurnal Pengabdian Kepada Masyarakat
Astofa, Aniq
Teknik Informatika Universitas Pamulang
Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Social Sciences Other

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Evaluasi Komparatif Algoritma Machine Learning untuk Prediksi Dini Diabetes Astofa, Aniq; Rosyani, Perani; Rahmawati, Rahmawati; Apandi, Sopiyan
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.859

Abstract

Diabetes is one of the non-communicable diseases that is often detected at an advanced stage, thereby increasing the risk of serious complications. The application of machine learning has the potential to support early diabetes detection; however, most previous studies have focused on large-scale datasets and high predictive accuracy, while methodological evaluations on small-sized clinical data remain limited. This study aims to evaluate and compare the performance of several machine learning algorithms for early diabetes prediction using a limited clinical dataset, with particular emphasis on analyzing the impact of data characteristics on model performance. The dataset used in this study consists of 22 samples with eight clinical features and one target variable, which were divided into 17 training samples and 5 testing samples. The research stages include data preprocessing, training–testing data splitting, model training, and performance evaluation using accuracy, precision, recall, F1-score, and ROC-AUC metrics. The algorithms evaluated include Logistic Regression, Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and XGBoost. The experimental results indicate that none of the evaluated models were able to effectively detect the diabetes class, as reflected by precision, recall, and F1-score values of zero across all models. Although Random Forest and XGBoost achieved an accuracy of 0.6, this value was largely influenced by the dominance of the non-diabetes class in the very limited test set. Correlation analysis further reveals that Glucose, BMI, and Diabetes Pedigree Function are the most influential features associated with diabetes status. The main contribution of this study lies in providing a realistic methodological evaluation of machine learning models applied to small-sized clinical datasets, highlighting that limited sample size and training–testing data partitioning have a substantial impact on model performance and the interpretation of evaluation metrics. These findings provide an important methodological reference for future studies aiming to develop more reliable early diabetes prediction models under constrained clinical data conditions.
Pengembangan Sistem Deteksi SQL Injection Berbasis Pola Menggunakan Regular Expression dengan Pemindaian Real-Time pada Aplikasi Web Nandi Pura Nugraha; Aniq Astofa
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 1 (2026): IKRAITH-INFORMATIKA Vol 10 No 1 Maret 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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Abstract

This article aims to develop a web-based SQL Injection detection system using the Regular Expression (RegEx) method as a lightweight and cost-effective approach for early vulnerability detection, with its novelty lying in the design and implementation of 110 RegEx patterns classified into six categories of SQL Injection attacks—Error-Based, Union-Based, Boolean-Based, Stacked Query, Time-Based, and Authentication Bypass—which are integrated into a real-time web-based scanning system. The system is developed using the Waterfall model, utilizing FastAPI for the backend and React for the frontend, and is enhanced with Role-Based Access Control (RBAC) and a visual dashboard for monitoring detection results. Unlike machine learning-based approaches that require high computational resources and training datasets, the proposed method emphasizes efficiency and ease of implementation. The testing results indicate that the system performs effectively, achieving a 100% success rate in 25 Black Box testing scenarios, while White Box testing produced a Cyclomatic Complexity value of 11, indicating that the system is maintainable, and user evaluation showed an average satisfaction score of 4.2 out of 5.0. This research contributes a structured, lightweight, and practical pattern-based SQL Injection detection approach that can be implemented as an early detection system to independently enhance web application security.
PELATIHAN PENGENALAN LOGIKA PEMROGRAMAN MELALUI GAME SCRATCH BAGI ANAK - ANAK DIDIK PKBM SELUAS CITA NUSANTARA PARUNG PANJANG Astofa, Aniq; Akrom; Zainudin
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 6 No 3 (2025): OKTOBER
Publisher : Universitas Pamulang

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Abstract

This training activity aims to introduce the basic concepts of programming logic to students at the Community Learning Center (PKBM) Seluas Cita Nusantara, Parung Panjang, through an interactive and enjoyable approach, namely using the visual programming platform Scratch. In the digital era, programming literacy has become a fundamental skill. However, its introduction is often considered difficult and abstract. This training addresses that challenge by utilizing Scratch, a tool that allows participants to create their own interactive stories, animations, and games by arranging blocks of code. The method used is hands-on learning, where participants are directly invited to design and develop simple projects. The main focus of the material is mastering basic concepts such as sequence, loop, conditional statements, and variables, which are important foundations in computational thinking. Keywords: PKBM Seluas Cita Nusantara, Scratch
Penerapan Metode Association Rule Mining Menggunakan Algoritma Equivalence Class Transformation Dalam Menganalisis Pola Stok Obat Aniq Astofa
Journal of Information System Research (JOSH) Vol 7 No 3 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i6.9432

Abstract

Poorly planned drug inventory management often leads to imbalances between patient needs and the availability of medicines in clinics. This issue generally arises because transaction data has not been optimally utilized as a basis for decision-making. The purpose of this study is to identify patterns of drug associations by applying Association Rule Mining techniques using the Equivalence Class Transformation (ECLAT) algorithm. The research adopts a quantitative approach, utilizing one year of drug transaction data. The analysis reveals several combinations of medicines that are frequently prescribed together by healthcare providers. These association patterns provide valuable insights into prescribing tendencies within the clinic. By understanding the most common combinations, managers can plan drug procurement more accurately and efficiently. The information obtained not only helps anticipate the risk of stock shortages but also prevents excessive inventory that could result in waste. Thus, the application of the ECLAT algorithm proves effective in enhancing drug inventory management. Furthermore, the findings of this study can serve as a foundation for developing more efficient procurement strategies, ultimately improving the quality of healthcare services in clinics. Overall, leveraging transaction data through Association Rule Mining contributes significantly to evidence-based decision-making. This demonstrates that integrating data analysis techniques with inventory management can create a healthcare system that is more responsive, efficient, and patient-centered.
IMPLEMENTASI LOGIKA PEMROGRAMAN DALAM PEMBUATAN GAME SEDERHANA MENGGUNAKAN SCRATCH BERBASIS MODUL PEMBELAJARAN BAGI SISWA/I PUSAT KEGIATAN BELAJAR MASYARAKAT SELUAS CITA NUSANTARA Ayesha Faiqa Nayyara; Bagus Pangestu; Fadhilatu Aisyah Ariani; Arya Saputra Adianto; Ade Sepriansyah; Salsha Trianingsih; Nabila Eka Aurul'aeni; Revi Fahrizqi; Ichsan Arrizqi; Muhammad Brata Ilham Mariko; Aniq Astofa
Abdi Jurnal Publikasi Vol. 4 No. 4 (2026): Maret
Publisher : Abdi Jurnal Publikasi

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Abstract

The rapid development of digital technology has encouraged the use of interactive media as an effective learning tool, one of which is educational games. This study aims to implement programming logic in the game development process and analyze its role in improving logical thinking and problem-solving skills. The method used is a software engineering approach consisting of requirement analysis, design, implementation, and testing stages. The game is developed using fundamental programming logic concepts such as conditional statements, loops, and simple data structures integrated into the gameplay mechanics. The results show that the implementation of programming logic in game development not only produces an interactive and engaging product but also helps users understand logical concepts more intuitively. Therefore, the developed game has the potential to become an alternative learning medium to enhance computational thinking skills.
Pentingnya Edukasi Cyber Security Untuk Menjaga Keamanan Data Pribadi dari Serangan Cyber Phishing Bagi Siswa/Siswi PKBM INTAN Tangerang Selatan Akrom; Fingki Marwati; Aniq Astofa
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 12 : Januari (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The rise of Cyber ​​attacks on the Internet is increasingly worrying and causing more and more victims, because the public needs to be educated about the importance of Cyber ​​Security and the importance of maintaining the security of personal data, especially for PKBM INTAN students and the general public. It cannot be denied that today's increasingly rapid technological progress can open up various new opportunities in good things, but also bad things, the ease of accessing the internet for everyone is one of the positive things, meaning that the effects of technological progress can be felt by everyone. almost all people, but this can become a problem and develop as a bad thing if people do not understand the threat of cyber attacks or criminal attacks via the internet, one of the cyber attacks that is increasingly worrying at the moment is cyber attacks via Phishing. One of the impacts or effects of a Phishing attack is that it can cause leakage of our personal data. Seeing the problems faced by the general public and INTAN PKBM Students in particular, we of time Lecturer PKM Universitas would like to provide outreach to INTAN PKBM Students with the title: "The Importance of Cyber ​​Security Education to Protect the Security of Personal Data from Cyber ​​Phishing Attacks "For Students PKBM INTAN South Tangerang Selatan" to Support Making Final Project Proposals to Students PKBM Intan Tangerang Selatan”.
Pelatihan Penggunaan Microsoft Office Dalam Guna Meningkatkan Ketrampilan Dan Keahlian Kepada Para Siswa/i PKBM Penerus Bangsa Tangerang Selatan Akrom; Aniq Astofa; Zainudin
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 7 : Agustus (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Education is an  important activity role in the development and changes that will occur in society. In today's era, competition for jobs is becoming increasingly fierce. To face this fierce competition in the world of work, students are expected to have skills, one of which is the use of Microsoft Office. PKBM Penerus Bangsa Tangerang Selatan aims to enhance students' skills in using the widely used software Microsoft Office Excel. Microsoft Office Excel is one of the most renowned software programs globally. To use Microsoft Office Excel effectively, students must master its techniques. Therefore, to assist our students, the PKM Dosen Universitas Pamulang team will conduct training and workshops titled “Training on the Use of Microsoft Office to Enhance Skills and Competencies for Students of PKBM Penerus Bangsa Tangerang Selatan”.
Perancangan Sistem Pembelajaran Online Pojok Ilmu Untuk Mendukung Pembelajaran Anak Yatim Dan Dhuafa Pada Yayasan Peduli Tali Bangsa Berbasis Framework Laravel Aan Andreawan; Aby Alfatih; Izmi Fatimach; Muhammad Rifqi Alfaris; Natan Nael; Palgunadi Palgunadi; Putri Aida Nuzula Rachman; Reinardus Di Caprio Kadju; Wisnu Kuntjoro Adji; Zukhruf Gharrick Marius; Aniq Astofa
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 6 (2026): APPA : Jurnal Pengabdian kepada Masyarakat 
Publisher : Shofanah Media Berkah

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Abstract

Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk merancang dan mengimplementasikan sistem pembelajaran online “Pojok Ilmu” berbasis framework Laravel pada Yayasan Peduli Tali Bangsa sebagai media pembelajaran digital bagi anak yatim dan dhuafa. Permasalahan utama yang dihadapi mitra adalah keterbatasan media pembelajaran konvensional, kurangnya sistem evaluasi terstruktur, serta belum optimalnya pemanfaatan teknologi dalam proses belajar mengajar. Metode pelaksanaan kegiatan meliputi observasi kebutuhan mitra, perancangan sistem, pengembangan aplikasi berbasis web, pelatihan penggunaan sistem, serta evaluasi hasil implementasi. Sistem yang dikembangkan menyediakan fitur video pembelajaran, latihan kuis, pengelolaan materi, serta monitoring perkembangan belajar peserta didik. Hasil kegiatan menunjukkan bahwa sistem “Pojok Ilmu” mampu meningkatkan efektivitas pembelajaran, mempermudah pengelolaan proses pendidikan, serta memberikan akses belajar yang lebih fleksibel dan terstruktur. Dengan demikian, sistem ini menjadi solusi pembelajaran digital yang bermanfaat bagi yayasan dalam mendukung peningkatan kualitas pendidikan anak yatim dan dhuafa.
Co-Authors Aan Andreawan Aby Alfatih Ade Sepriansyah Ahmad Shofwan Nizomi Ajay Sepangan Akrom, Akrom Aldi Hermawan Apandi, Sopiyan Ari Mumtaz Ariella Yola Rifanda Arya Saputra Adianto Asep Imaddudin Ayesha Faiqa Nayyara Badru Zaman Bagus Pangestu Bangkit Sutowiyono Bani Bani David Kurniawansyah Debby Rahardian Baskhara Devi Febriyanti Widia Astuti Fadhilatu Aisyah Ariani Fahmi Fauzan Azimah Fingki Marwati Hadad Al-Tami Ichsan Arrizqi Izmi Fatimach Khairudin Khairudin Kiki Yulianto Kurniawan Leni Susanti Maulana Al-Syafe’I Permana Muhamad Sobran Muhammad Brata Ilham Mariko Muhammad Daffatama Noprilliano Muhammad Fauzi Akbar Muhammad Miftah Muhammad Rifqi Alfaris Nabila Eka Aurul'aeni Nandi Pura Nugraha Natan Nael Palgunadi Palgunadi Perani Rosyani Putri Aida Nuzula Rachman Rafael Dito Susanto Rahmawati, Rahmawati Regi Setiawan Reinardus Di Caprio Kadju Rendy Dwi Septianto Revi Fahrizqi Riki Datul Fajar Risqi Moneyawan Rizka Amelia Lestari Salsha Trianingsih Sandy Efriyanto Sultan Halim Suryaningrat Suryaningrat Sutono, Eko Wisnu Kuntjoro Adji Zainudin Zainudin Zainudin Zainudin Zukhruf Gharrick Marius