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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Pengabdian Masyarakat Waradin Jurnal Sains dan Ilmu Terapan Journal of Data Insights International Journal of Information Engineering and Science
Al Amin, Muhammad Zainudin
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Humanities Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Sistem Inferensi Fuzzy untuk prediksi Sindrom Metabolik bagi penyandang Penyakit Ginjal Kronik Muhammad Zainudin Al Amin; Sri Kusumadewi; Linda Rosita
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 3 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i3.1032

Abstract

Patients with Chronic Kidney Disease (CKD) are increasing every year. One of the risk factors is due to metabolic syndrome because components in the metabolic syndrome are the cause of risk factors for CKD. The purpose of this study is to build a fuzzy inference system to predict metabolic syndrome for people with CKD. The method in this research is through literature study in building fuzzy rules and forming a fuzzy inference system. The variables used are body mass index, blood pressure, triglycerides, HDL and fasting blood sugar. System testing was carried out on eight hemodialysis patient data. The results of the system test are able to provide information related to the percentage of metabolic syndrome risk levels in 7 patients with chronic kidney disease.
NAKNN: An Efficient Classification of Indonesian News Texts with Nazief-Adriani and KNN Ansor, Basirudin; Ramdani, Aditya Putra; Sari, Nova Christina; Al Amin, Muhammad Zainudin; Solichan, Achmad; Mahadewi, Kilala
Journal of Intelligent Computing & Health Informatics Vol 5, No 2 (2024): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v5i2.15420

Abstract

Internet usage in Indonesia has seen a significant increase, reaching 215.63 million users in 2022-2023, or 78.19% of the population. With the ease of internet access, digital news portals like Narasi TV have become a primary source of information for many people. However, the large number of news articles makes manual categorizing challenging. This study aims to classify Indonesian-language news documents from Narasi TV using the Nazief-Adriani algorithm for stemming and the K-Nearest Neighbor (KNN) method for classification. The text mining process begins with preprocessing, which includes case folding, tokenizing, stop-word filtering, and stemming. Using a dataset of 500 news documents, the study demonstrated that with a 90:10 data split, the average accuracy reached 93%, with the highest value being 100%. For the 80:20 data split, the average accuracy was 89%, with the highest value being 93%, and for a 70:30 data split, the average accuracy was 87%, with the highest value being 89%. In conclusion, the combination of the Nazief-Adriani algorithm and the KNN method with optimal k selection and random states obtained high accuracy, obtaining an average accuracy of 93%) in classifying Indonesian-language news documents. These results demonstrate the significant potential of text mining and classification techniques to manage digital news.
Deteksi Kerentanan SQL Injection pada Website Menggunakan Vulnerability Assessment Nova Christina Sari; Achmad Solichan; Basirudin Ansor; Aditya Putra Ramdani; Muhammad Zainudin Al Amin; Mulil Khaira; Auliya Rohman Riquelme Al Ubaidah
Journal of Data Insights Vol 2 No 1 (2024): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Website merupakan sumber informasi yang terus berkembang mengikuti perkembangan teknologi dimasa sekarang, dan penggunaan website telah banyak diterapkan di berbagai bidang. Penggunaan cyber security berkembang sangat pesan mengikuti perkembangan teknologi dan penelitian-penelitian dalam tema cyber security semakin banyak. Metode vulnerability asesement dalam penelitian ini digunakan untuk melakukan scanning terhadap suatu website untuk mendeteksi kerentananan website tersebut terhadap SQL Injection. SQL Injection. SQL Injection merupakan salah satu teknik peretasan dengan cara menyalahgunakan celah keamanan yang ada di lapisan SQL berbasis data pada suatu aplikasi atau website. Vulnerability scanner menggunakan Zap, memberikan hasil 22 alert, 3 diantaranya memiliki kerentanan yang tinggi (high risk). Hasil dari kerentanan website memiliki SQL Injenction yang tinggi. Terdapat 5 dari 10 ancaman yang terdapat pada OWASP Top 10
Pengembangan Sistem Pakar untuk Mendiagnosis Gangguan Perkembangan Anak dengan Metode Certainty Factor Muhammad Zainudin Al Amin; Achmad Solichan; Aditya Putra Ramdani; Basirudin Ansor; Nova Christina Sari; Karima Elsami
Jurnal Sains dan Ilmu Terapan Vol. 7 No. 1 (2024): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v7i1.882

Abstract

An expert system for diagnosing developmental disorders in children using the certainty factor method serves as a tool for early detection in children exhibiting unusual behavior for more than three months. Some common disorders in children include autism, oppositional defiant disorder (ODD), mental retardation, and ADHD (Attention Deficit Hyperactivity Disorder). The development of an expert system application for diagnosing developmental disorders in children using the certainty factor method was implemented using PHP and MySQL in the form of a website. Through this application, users can consult with the system as if consulting with an expert to identify the disorder affecting the child based on the symptoms experienced. The application also allows users to view medical records based on the examinations conducted.
Optimizing Shortest Job First (SJF) Scheduling through Random Forest Regression for Accurate Job Execution Time Prediction Aditya Putra Ramdani; Achmad Solichan; Basirudin Ansor; Muhammad Zainudin Al Amin; Nova Christina Sari; Kilala Mahadewi
International Journal of Information Engineering and Science Vol. 1 No. 3 (2024): August : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v1i3.138

Abstract

One of the CPU scheduling methods that is frequently used to reduce waiting time and average execution time is Shortest Job First (SJF). However, this algorithm's accuracy is largelbravy dependent on how well the job execution time is predicted. The purpose of this study is to enhance work execution time estimates by optimizing the SJF algorithm through the use of the Random Forest Regression model. The model in this study is trained using historical job data. The test results demonstrate how Random Forest Regression may be included into SJF to greatly increase system efficiency, especially in terms of throughput and waiting time reduction.
OPTIMALISASI PENGGUNAAN CHROMEBOOK UNTUK PENDIDIKAN SEKOLAH DASAR DI SDN PLAMONGANSARI 01 Aditya Putra Ramdani; Achmad Solichan; Muhammad Zainudin Al Amin; Mulil Khaira; Basirudin Ansor; Nova Christina Sari
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): Volume 5 No. 2 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i2.26591

Abstract

Kementerian Pendidikan dan Kebudayaan Ristek telah memberikan 284.000 laptop Chromebook untuk sekolah-sekolah di Indonesia sejak tahun 2021. SDN Plamongansari 01, Kecamatan Pedurungan, Kota Semarang menjadi salah satu sekolah yang menerima 20 laptop Chromebook pada akhir tahun 2023. Namun berdasarkan Menurut penuturan Ibu Sri Wahyuni selaku Kepala Sekolah, guru-guru di SDN Plamongansari 01 belum terbiasa menggunakan laptop Chromebook. Pelatihan penggunaan laptop Chromebook diberikan untuk meningkatkan pengetahuan dan keterampilan guru. Tahapan pengabdian dilakukan melalui beberapa tahapan yaitu observasi, perencanaan, pelaksanaan, dan evaluasi. Selama proses pengabdian, penyampaian materi dibagi menjadi beberapa sesi, dimulai dari materi pertama yang disampaikan oleh narasumber I hingga materi terakhir yang disampaikan oleh narasumber V. Pada setiap sesinya para guru diberikan pelatihan mandiri untuk menguji kemampuan mereka. pengetahuan dan kemampuan terhadap materi yang telah disampaikan. Berdasarkan observasi langsung narasumber terhadap kemampuan guru pada saat pelatihan, kemampuan guru dalam menggunakan Chromebook mengalami peningkatan. Fitur dan cara penggunaan aplikasi di Chromebook (Google Docs, Google Slides, dan Spreadsheets) sama seperti Microsoft Word, PowerPoint, dan Excel, yang membedakan adalah offline dan online.
Inovasi Pembelajaran Interaktif Mengenal Jenis Sampah untuk Anak Sekolah Dasar Dengan Media Game Aditya Putra Ramdani; Nova Christina Sari; Diaz Aditya; Karima Elsami; Naimatul Husna; Achmad Solichan; Edy Winarno; Muhammad Zainudin Al Amin; Basirudin Ansor
Jurnal Pengabdian Masyarakat Waradin Vol. 5 No. 2 (2025): Jurnal Pengabdian Masyarakat Waradin
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/wrd.v5i2.603

Abstract

The issue of waste management remains one of the significant environmental challenges in Indonesia, mainly due to the lack of awareness and understanding from an early age. This article discusses the implementation of a community service program through innovative interactive learning using educational games "Reresik" and "Bersihkan Sampah di Laut" designed to enhance elementary school students' interest and understanding of waste management. The implementation method includes teacher training, the introduction of waste material, the application of educational games, and the evaluation of program effectiveness through satisfaction surveys. The results indicate that game-based learning methods significantly increase student enthusiasm, simplify understanding, and foster positive habits in maintaining environmental cleanliness. Moreover, the training provided to teachers improved their ability to integrate educational technology into the learning process. This program is expected to serve as a sustainable innovative learning model to raise environmental awareness among younger generations.
Co-Authors Achmad Solichan Aditya Putra Ramdani Auliya Rohman Riquelme Al Ubaidah Basirudin Ansor Basirudin Ansor Diaz Aditya Edy Winarno Karima Elsami Kilala Mahadewi Linda Rosita Mahadewi, Kilala Mulil Khaira Naimatul Husna Nova Christina Sari Nova Christina Sari Sri Kusumadewi