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All Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) Indonesian Journal of Computing, Engineering, and Design Jurnal Pengabdian Masyarakat Tekno Borneo Community Development Teknologi : Jurnal Ilmiah Sistem Informasi
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Optimizing Malware Detection and Prevention on Proxy Servers Through Random Forest and Lexical Feature Analysis Andalas Saputra, Meitro Hartanto; Pebrianti, Dwi; Bayuaji, Luhur; Rusdah
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 7 No. 1 (2025): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v7i1.485

Abstract

Malware has become a significant concern due to the increase in malicious websites hosting spam, phishing, malware, and other threats. This research aims to predict malware URLs using lexical features for feature extraction and random forest for classification. The dataset, sourced from kaggle.com, includes benign, phishing, spam, malware, and defacement URLs. To address data imbalance, random oversampling was applied for balanced training. Recursive feature elimination was used to optimize lexical features, testing various sets of features (10, 15, 19, 23, 29, 35) for classification accuracy, achieving 98% accuracy using 23 features. Validation tests with actual university network data confirmed this model’s effectiveness, classifying malicious URLs in 9 minutes using 11,566 samples. URL filtering involved log analyzer tools capturing internet traffic during working hours over one month. Results suggest that this approach can efficiently classify malicious URLs and could be implemented for real-time detection in proxy server logs, aiding IT departments in preventing malware spread via web traffic.
Education on Treatment of Gastric Disorders, Self-Medication of Gastric Medicines, and DAGUSIBU in Karang Bunga Village Yulianita Pratiwi Indah Lestari; Rusdah; Agustina Tri Wahyuni; Nor Azizah Rahmah Sari; Nor Syifa
Borneo Community Development Vol. 5 No. 1 (2025)
Publisher : UMBanjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35747/bcd.v5i1.1185

Abstract

Gangguan lambung seperti maag, gastritis, dan tukak lambung merupakan masalah kesehatan yang umum di Indonesia, dengan prevalensi sekitar 10-15% penduduk (Riskesdas 2018). Faktor pemicunya meliputi pola makan yang tidak sehat, stres, konsumsi alkohol, merokok, serta infeksi Helicobacter pylori. Swamedikasi sering dilakukan oleh masyarakat dalam menangani gangguan lambung dengan membeli obat tanpa resep dokter, namun kurangnya pemahaman mengenai penggunaan obat yang benar dapat meningkatkan risiko efek samping dan komplikasi. Oleh karena itu, edukasi mengenai swamedikasi yang aman sangat penting untuk meningkatkan kesadaran masyarakat. Kegiatan pengabdian ini bertujuan untuk memberikan penyuluhan kepada masyarakat Desa Karang Bunga mengenai penggunaan obat lambung yang benar berdasarkan prinsip DAGUSIBU (Dapatkan, Gunakan, Simpan, Buang). Penyuluhan dilakukan kepada 28 peserta, yang terdiri dari ibu-ibu PKK dan kader desa Karang Bunga, dengan metode ceramah interaktif serta diskusi mengenai klasifikasi obat, aturan penggunaan yang tepat, serta cara penyimpanan dan pembuangan obat yang benar. Hasil kegiatan menunjukkan bahwa sebelum penyuluhan, sebagian besar peserta belum memahami prinsip DAGUSIBU, terutama dalam hal mendapatkan obat dengan benar, menentukan dosis yang tepat, serta menyimpan dan membuang obat secara aman. Setelah penyuluhan, terjadi peningkatan pemahaman yang signifikan terkait aspek-aspek tersebut. Kegiatan edukasi ini diharapkan dapat mengurangi risiko penyalahgunaan obat serta meningkatkan kualitas kesehatan masyarakat, sehingga perlu dilakukan secara berkelanjutan untuk memastikan dampak jangka panjang yang lebih optimal.
Pemanfaatan Google Meet Dan Classroom Pada Media Pembelajaran Di PKBM Bina Bangsa Ratna Kusumawardani; Rusdah; Setiono, Devit; Kusumaningsih, Dewi; Syafrullah, Muhammad
Jurnal Pengabdian kepada Masyarakat TEKNO (JAM-TEKNO) Vol 5 No 1 (2024): Juni 2024
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/jamtekno.v5i1.5533

Abstract

Currently, learning media in Indonesia uses ICT-based learning media. This is because all learning institutions and educational institutions apply blended learning, namely offline (offline) and online (online) in the process of teaching and learning activities. Using good and appropriate learning media can make it easier for students to digest learning material. One of the educational institutions that carries out online teaching and learning activities is PKBM Bina Bangsa Tangerang. This institution has a role in training people's skills and independence. However, some students have not mastered using Google Meet and Google Classroom in teaching and learning activities. To fulfill this, we are collaborating with PKBM Bina Bangsa Tangerang to conduct training on using Google Meet and Google Classroom. This activity aims to ensure that students understand how to use Google Meet and Google Classroom in the teaching and learning process so that students can receive the material provided by the teacher well. This training applies a practicum method involving 16 students which was carried out online on October 21, 2023. Based on the questionnaire data that has been processed, it shows that this activity was well received by the students and the students understood the facilities available. found in Google Meet as much as 90% and understanding regarding the use of Google Meet as much as 91%. Then the students' understanding regarding the facilities available in Google Classroom was 87% and their understanding regarding the use of Google Classroom was 86%
Trend Analysis and Prediction of Violence Against Women and Children Cases in Jakarta Based on the Victim’s Education Level Using ARIMA and SARIMA Method Kurniawan, Zaqi; Tiaharyadini, Rizka; Wibowo, Arief; Rusdah
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 2 (2025): MEY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i2.2349

Abstract

Violence against women and children remains a critical social issue in Jakarta, Indonesia, where densely populated urban areas often correlate with increased risks of domestic abuse. The urgency of addressing this problem lies in its direct impact on public health, education, and community well-being. This study uses time series prediction models to examine and anticipate trends in the number of reported incidents of violence against women and children in Jakarta. Using publicly accessible data from Jakarta Open Data and the National Commission for the Protection of Women and Children, we applied the ARIMA and SARIMA  Models. Key variables included in the dataset are the data period, education level, and total number of victims Using three performance indicators—MAE (Mean Absolute Error), MAPE (Mean Absolute Percentage Error), and RMSE (Root Mean Square Error)—to assess model accuracy the ARIMA model performed better than the SARIMA model. SARIMA recorded an RMSE of 80.26, an MAE of 66.21, and an undefined MAPE because of zero values in the real data, while ARIMA specifically obtained an RMSE of 32.22, an MAE of 32.09, and a MAPE of 5.19%. These results suggest that the non-seasonal ARIMA model is more suitable for this dataset. The study contributes to policy planning and early intervention strategies by offering a data-driven approach to predicting trends in violence within urban contexts.
PENERAPAN ALGORITMA K-MEANS UNTUK KLASTERISASI INDEKS STANDAR PENCEMARAN UDARA Mahendrasyah, Ihjal; Diana, Anita; Rusdah; Mahdiana, Deni
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 14 No 2 (2024): July
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v14i2.4088

Abstract

Lingkungan merupakan satu ruang utuh yang berisi semua benda, daya, keadaan, serta makhluk hidup di dalamnya, termasuk juga manusia dan perilakunya yang mempengaruhi alam. Penting untuk menjaga lingkungan agar tidak timbul pencemaran yang dapat menciptakan kondisi yang tidak sehat. Pengelompokkan pencemaran lingkungan dapat mempermudah pemerintah dalam pertimbangan wilayah mana saja yang memerlukan atensi lebih dalam penegakkan perlindungan dan pengelolaan lingkungan hidup. Pengelompokan yang digunakan menggunakan algoritma K-Means Clustering yang dapat mengelompokkan data ke dalam kelompok yang sama dan data yang berbeda ke dalam kelompok yang berbeda. Klasterisasi dilakukan terhadap data indeks standar pencemaran udara provinsi DKI Jakarta berdasarkan parameter pencemaran udara. Sehingga dapat diketahui informasi mengenai kualitas udara terutama di wilayah provinsi DKI Jakarta. Data yang digunakan adalah data tahun 2021 dan diperoleh dari situs resmi Jakarta Open Data. Dataset berisi 365 hari pemantauan kualitas udara tahun 2021 serta parameter pencemaran udara seperti pm10, pm25, so2, co, 03, dan n02. Data yang telah diperoleh kemudian diolah dengan tools RapidMiner menggunakan Algoritma K-Means Clustering dalam 3 cluster, diketahui hasil klasterisasi yaitu kategori kualitas udara sehat pada cluster 0 terdiri dari 39 hari, kategori kualitas udara sedang pada cluster 1 yang terdiri dari 128 hari, dan kategori kualitas udara tidak sehat pada cluster 2 yang terdiri dari 198 hari. Sehingga dapat diketahui hasil klasterisasi dengan Algoritma K-Means terhadap kualitas udara di Provinsi DKI Jakarta tahun 2021 cenderung berada di kategori tidak sehat. Hasil klasterisasi ini diharapkan dapat menjadi masukan bagi pemerintah dalam upaya penanganan daerah yang mengalami pencemaran lingkungan.
Co-Authors Agustina Tri Wahyuni Andalas Saputra, Meitro Hartanto Anita Diana Arief Wibowo Deni Mahdiana Devit Setiono Dewi Kusumaningsih Luhur Bayuaji, Luhur Mahendrasyah, Ihjal Nor Azizah Rahmah Sari Nor Syifa Pebrianti, Dwi Ratna Kusumawardani Syafrullah, Muhammad Tiaharyadini, Rizka Yulianita Pratiwi Indah Lestari Zaqi Kurniawan