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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS)
Sutisna Sutisna
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Social Sciences

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IMPLEMENTASI APLIKASI ADMINISTRASI WARGA RW 06 KAYUMANIS VII JAKARTA TIMUR BERBASIS WEB Sugiyono Sugiyono; Sutisna Sutisna; Nana Nana; Muhammad Zikri; Dimas Prinantin Saputra
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 5, No 5 (2022): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v5i5.1630-1637

Abstract

Pelayanan kepada warga pada RW 10 Kayumanis kecamatan Matraman jika ingin membuat surat pengantar RT RW masih mengalamai sistem yang manual dengan cara datang langsung ke rumah sekretariat RT kendalanya adalah sering terjadi pak RT tidak ada dirumahnya. Untuk mengatasi permasalahan pelayanan administrasi penulis membuat aplikasi administrasi berbasis web pada kelurahan Kayumanis dengan merubah prosedur dari manual ke komputerisasi dan untuk memberikan layanan yang terbaik bagi warga. Metode pengembangan sistem yang digunakan adalah SDLC dimulai dari requirement membuat analisa kebutuhan dari prosedur dalam pelayanan data pada RT setempat, kedua desain membuat perancangan sistem pelayanan data menggunakan pemodelan use case, activity diagram dan diagram usulan, tahap ketiga implementasi yaitu melakukan penerapan dari desain ke source code sesuai dengan alur, tahap terakhir testing melakukan pengujian aplikasi layanan administrasi kependudukan yang di dampingi oleh ketua RT setempat.
Optimization of Data Security Protection with Full SSL Inspection on AWS Using FortiGate Virtual Appliance Yuma Akbar; Gipari Pradina Abdillah; Dadang Iskandar Mulyana; Sutisna Sutisna
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.5153

Abstract

The expanding adoption of cloud services, particularly Amazon Web Services (AWS), has intensified challenges in protecting encrypted data traffic within network security frameworks. SSL/TLS protocols, widely utilized for data encryption, have become exploitation vectors for cyber adversaries as conventional security solutions lack the capability to scrutinize encrypted traffic effectively. The research addresses such security gaps by implementing Full SSL Inspection through Fortigate Virtual Appliance deployment within AWS cloud environments. The study examines cloud-based network architecture integrated with Fortigate systems, employing methodologies that encompass virtual appliance installation, SSL/TLS inspection feature configuration, and assessment of system effectiveness alongside performance impact evaluation. Research instruments include simulated cyber-attack scenarios targeting encrypted traffic patterns. Findings demonstrate that Full SSL Inspection significantly enhances threat detection capabilities within network traffic, albeit with measurable increases in system latency and computational overhead. The implementation of Fortigate Virtual Appliance proves effective in strengthening AWS data security postures. Research outcomes emphasize the necessity for configuration optimization to maintain security-performance equilibrium, positioning the solution as viable for organizations prioritizing data protection strategies
Decision Tree-Based Classification System for Elderly Social Aid Beneficiaries in Jakarta: Case Study Implementation in RW 13, Malaka Jaya Sub-Distric Sutisna Sutisna; Hermawan Susanto
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5243

Abstract

Social assistance distribution to elderly populations in urban areas, particularly Jakarta, frequently encounters challenges in accurately identifying eligible recipients. The present study develops a classification model for elderly social assistance recipients using the Decision Tree algorithm to enhance objectivity and precision in beneficiary selection. Field research was conducted in RW 13, Malaka Jaya Sub-District, East Jakarta, utilizing primary data gathered through systematic observation. Key variables including age, income level, residential ownership status, health conditions, and family dependents were incorporated into the classification framework. The CRISP-DM methodology structured the analytical process, spanning from initial data exploration through model validation. Model testing employed a 70:30 data partition strategy, achieving 95.84% classification accuracy. Findings demonstrate the model's capability in determining eligibility for Jakarta's elderly social assistance program. Implementation of the proposed classification system promises to strengthen transparency, improve targeting precision, and establish evidence-based decision-making in social welfare distribution.
Co-Authors Akbar, Yuma Dadang Iskandar Mulyana` Dimas Prinantin Saputra Gipari Pradina Abdillah Hermawan Susanto Muhammad Zikri Nana Nana Sugiyono Sugiyono