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All Journal Journal of Innovation and Future Technology (IFTECH) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Brilliant International Journal of Management and Tourism
Suherlan, Edi
Universitas Faletehan
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Public Health

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Efektifitas Penggunaan Aplikasi Pintar Berbasis Android dan Machine Learning untuk Pengkajian Diabetic Foot Ulcer di Rsud Dr. Dradjat Prawiranegara Serang Dewi Rahmawati; Eka Ernawati; Dewi Anggraeni; Ernawati Ernawati; Edi Suherlan; Febri Febri; Indah Mae Nur Falakh; Siti Iyah Fauziyah; Nurhajijah Nurhajijah; Muhamad Wahyu Ramdan; Syahban Rangkuti
JURAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 2 (2024): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i2.6007

Abstract

Diabetic wounds have quite serious impacts on sufferers, so a comprehensive wound assessment must be carried out. However, currently there are still many nurses who carry out wound assessments only relying on the nurse's experience in assessing wound characteristics. The use of a digital application (Dicafoler) is a solution to be used as a tool to comprehensively assess diabetes wounds so that it can minimize the impact of the risk of infection and amputation. The aim of this research is to describe the use of the dicafoler application as a tool to assess diabetes wounds among nurses at RSUD Dr. Dradjat Prawiranegara Serang. The research design used in this research is Quantitative Description. Sampling technique with a total sampling of 24 respondents. The results of this research were that the age of the executive nurses was young adults (25-35 years), the dominant sex was that the executive nurses were female, the educational level of the executive nurses was at most D3 nursing, the length of service of the executive nurses was >5 years. Bivariate results show that the use of Dicafoler is effective in assessing wounds more accurately. The conclusion of this research is that the Dicafoler application can be easily used to assist in the process of assessing diabetic wounds, but it requires further development through further research to add incomplete features so that a comprehensive assessment can be carried out.
EDUKASI PREVENTIF PADA MAHASISWA DALAM MENANGANI PELAPORAN KASUS KEKERASAN SEKSUAL MELALUI APLIKASI PINTAR (BESTIEQ) DAN FILM PENDEK Rahmawati, Dewi; Meylandinniah, Fayza Fatika; Fasha, Shyabina Rahma; Fasha, Stefani Auli; Tarsiah, Tian; Hutbi, Muhamad; Suherlan, Edi; Adha, Suhroji
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.34204

Abstract

Permasalahan kasus kekerasan seksual adalah meningkatnya jumlah kasus kekerasan seksual yang diakibatkan oleh adanya persepsi dari masyarakat yang dapat ditoleransi atau hal yang biasa, kuatnya budaya patriarki dan penegakkan hukum yang masih lemah. Kekerasan seksual sering terjadi di lingkungan akademik dan kasusnya selalu ada serta korbannya masih belum berani melaporkan diri. Tujuan pengabdian masyarakat adalah memberikan edukasi kepada mahasiswa/I Universitas Faletehan untuk berani speak up apabila telah mengalami kekerasan seksual dengan menggunakan aplikasi pintar “BestieQ”. Hal ini dilakukan untuk melihat fenomena kejadian dan melakukan penanganan apabila telah terjadinya kekerasan seksual di Universitas Faletehan serta memulihkan kembali kesehatan mental pada korban pascatrauma bersama konselor professional. Kegiatan pengabdian masyarakat ini telah dilakukan melalui 3 tahap kegiatan. Pada tahap pertama dilakukan uji kelayakan aplikasi “BestieQ” dengan menggunakan kuesioner System Usability Scale dan didapatkan nilai 82,25 yang berarti aplikasi ini berada dalam kategori good/baik. Pada tahap kedua dilakukan pengenalan aplikasi “BestieQ” kepada mahasiswa/i melalui pemberian edukasi penayangan film pendek pada saat perayaan dies natalis ke-5 Universitas Faletehan. Pada tahap terakhir dilakukan evaluasi survei kepuasaan aplikasi “BestieQ” dan terjadi peningkatan dengan nilai 80,25 yang berarti aplikasi ini berada dalam kategori good/baik. Aplikasi “BestieQ” merupakan sebuah aplikasi digital berbasis Android yang bersifat “friendly” bagi korban kekerasan seksual serta dapat memulihkan kesehatan mental pada korbannya.
MODEL DASHBOARD INFORMASI KEUANGAN MAHASISWA TERINTEGRASI REST API SEBAGAI PENUNJANG PENGAMBILAN KEPUTUSAN DI UNIVERSITAS FALETEHAN Edi Suherlan; Aufa Dhia Ghaisani Suherlan; Iqbal Fernando
Journal of Innovation And Future Technology Vol. 7 No. 2 (2025): Vol 7 No 2 (Agustus 2025): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/1dwf9f80

Abstract

Universitas Faletehan faces challenges in managing student financial data due to the lack of integration between the BNI e-collection system and the university’s internal academic information system. This study aims to design a web-based student financial dashboard model utilizing REST API technology to automate data exchange between the bank’s server and the academic system. The development process adopts the ADDIE model, combined with a prototyping approach and User-Centered Design (UCD) principles. The resulting dashboard provides real-time and integrated financial transaction data, improving reporting efficiency and supporting strategic decision-making by university leaders. Additionally, it enhances transparency, accountability, and contributes to the digital transformation of financial management in higher education institutions.The main result indicates that access to financial data improved significantly, reducing reporting delays from batch-based (24+ hours) to under 5 seconds, with 85% of users reporting high satisfaction.
PENGEMBANGAN PETA INTERAKTIF BATAS WILAYAH INDONESIA HINGGA LEVEL KABUPATEN/KOTA BERBASIS LARAVEL DAN LEAFLET.JS UNTUK VISUALISASI ADMINISTRATIF Edi Suherlan; Aufa Dhia Ghaisani Suherlan; Febri Febri
Journal of Innovation And Future Technology Vol. 8 No. 1 (2026): Vol 8 No 1 (Februari 2026): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i1.4469

Abstract

The recent expansion of administrative regions in Indonesia to 38 provinces and 514 regencies/municipalities increases the demand for accurate and scalable visualization of administrative boundaries. However, many existing Web GIS applications remain limited in scope and are not designed to manage national-scale spatial data efficiently. This study aims to design and implement a lightweight and extensible Web GIS architecture for visualizing Indonesia’s administrative boundaries down to the regency/municipality level. The research employs a software engineering approach consisting of requirements analysis, system design, implementation, and functional testing using the black-box testing method. The system is developed using the Laravel framework for backend management and Leaflet.js for client-side map visualization, with GeoJSON as the primary spatial data format and OpenStreetMap as the basemap.The developed application successfully visualizes administrative boundaries for all 38 provinces and 514 regencies/municipalities with consistent thematic styling, interactive features, and automatic zoom-to-fit. A centralized controller mechanism ensures stable asynchronous loading of spatial layers. These results demonstrate that the proposed architecture is effective for national-scale administrative mapping and can serve as a practical foundation for further Web GIS development.
ANALISIS KINERJA DAN KEAMANAN RUNTIME AI AGENT GATEWAY OPENCLAW MENGGUNAKAN METODE PROGRESSIVE DISCLOSURE UNTUK OPTIMALISASI TOKEN Edi Suherlan; Aufa Dhia Ghaisani Suherlan
Journal of Innovation And Future Technology Vol. 8 No. 2 (2026): Vol 8 No 2 (Agustus 2026): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i2.4773

Abstract

The rapid evolution of autonomous AI agent workflows has introduced new challenges in software engineering, particularly regarding context token bloat and runtime security vulnerabilities within AI agent gateways. This study presents a benchmarking-based secondary analysis and computational modeling of the Progressive Disclosure method for optimizing context management in the OpenClaw AI Agent Gateway. Rather than conducting direct experimental implementation, the evaluation synthesizes empirical benchmark data from previous Model Context Protocol (MCP) studies, mathematical performance modeling, and runtime threat analysis reported in recent literature. The benchmarking results indicate that Progressive Disclosure has the potential to reduce upfront token overhead by approximately 95.6%, decrease session token consumption from 45,000 to 2,800 tokens, reduce estimated execution latency by 60.9% (from 12.49 s to 4.88 s), and lower projected operational costs by 93.8%, while maintaining high tool-selection accuracy. Furthermore, the threat modeling analysis identifies several critical runtime vulnerabilities within the OpenClaw environment, including the Claw Chain attack sequence involving CVE-2026-44112, CVE-2026-44113, CVE-2026-44115, and CVE-2026-44118, which collectively demonstrate the importance of strengthening runtime isolation beyond prompt-level optimization. The analysis indicates that Progressive Disclosure can significantly improve context efficiency and reduce computational overhead; however, robust low-level virtualization mechanisms remain essential for protecting autonomous AI agent infrastructures against advanced runtime attacks.
Fintech Understanding, Usage, and Adoption Interest among MSME Traders at Kepandean Market, Serang City, Banten Enji Azizi; Edi Suherlan; Nani Yuniarsih; Muhammad Lukman; Irgi Ardiandy; Putri Andriayani
Brilliant International Journal Of Management And Tourism Vol. 6 No. 2 (2026): Brilliant International Journal Of Management And Tourism
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v6i2.8065

Abstract

This study examines the relationship between fintech understanding, fintech usage, and adoption in-terest among MSME traders at Kepandean Market, Serang City, Banten. The study applies a quantita-tive cross-sectional survey design using 100 trader respondents. The administrative sampling frame contains 282 trader records. Using the Slovin formula with a 10% margin of error, the minimum sample requirement is 74 respondents, while the available survey dataset exceeds this requirement. The ob-served variables are represented by ordered categories of fintech understanding, fintech usage, and adoption interest. Data were analyzed using descriptive statistics, cross-tabulation, Spearman's rank correlation, chi-square tests of independence, and Cramer's V. The findings show strong positive as-sociations between fintech understanding and usage (ρ = 0.760, p < 0.001), fintech understanding and adoption interest (ρ = 0.742, p < 0.001), and fintech usage and adoption interest (ρ = 0.719, p < 0.001). The results indicate that traders with stronger fintech understanding tend to report more intensive usage and stronger interest in adoption. The findings provide empirical evidence from a tradition-al-market setting and suggest that digital-finance programs should combine literacy, practical assistance, and security awareness to encourage safe and sustained fintech use.
Co-Authors Aufa Dhia Ghaisani Suherlan Aufa Dhia Ghaisani Suherlan Aufa Dhia Ghaisani Suherlan Azizi, Enji DEWI RAHMAWATI DEWI RAHMAWATI Ernawati Ernawati Ernawati, Eka Fasha, Shyabina Rahma Fasha, Stefani Auli Febri Febri Febri Febri Hutbi, Muhamad Indah Mae Nur Falakh Iqbal Fernando Irgi Ardiandy M. Yogi Riyantama Isjoni Meylandinniah, Fayza Fatika Muhamad Wahyu Ramdan Muhammad Lukman Nani Yuniarsih Nurhajijah Nurhajijah Putri Andriayani Siti Iyah Fauziyah Suhroji Adha Syahban Rangkuti Tarsiah, Tian