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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TEKNIK INFORMATIKA MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Ilmiah Mikrotek Jurnal Ilmiah Kursor EMITTER International Journal of Engineering Technology Journal of Information System Universa Medicina Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Midwifery Jurnal Linguistik Komputasional Jurnal Repositor Jurnal AbdiMas Nusa Mandiri Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Ilmiah Teknik Elektro Journal Of Artificial Intelligence And Software Engineering NERO (Networking Engineering Research Operation)
Agustinus Bimo Gumelar
Program Studi Informatika, Fakultas Teknologi Informasi, Universitas Ciputra Surabaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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A Comprehensive Review: Plantar Fasciitis in Geriatric Patients in Indonesia: Ulasan Komprehensif: Fasciitis Plantaris pada Pasien Geriatri di Indonesia Henry Ricardo Handoyo; Paul L Tahalele; Andre Young; Kevin Samsudin; Yovita Vivi Megasari; Gumelar, Agustinus Bimo; Ageng Salmanarrizqie
Journal of Midwifery Vol. 10 No. 1 (2025): Published on June 2025
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jom.10.1.16-30.2025

Abstract

Plantar fasciitis is a degenerative condition affecting the connective tissue in the heel, characterized by pain at the medial plantar tuberosity of the calcaneus. It commonly occurs in elderly individuals aged 60 and above, with most cases resolving without treatment. However, therapeutic options become limited for older patients, particularly those aged 40 and above. This study evaluates various treatment methods for geriatric patients with plantar fasciitis, focusing on both medical and non-medical approaches. A comprehensive review of 19 relevant journals from 2000 to 2024 was conducted, analyzing treatments and their effectiveness in elderly populations. The results consistently demonstrated that Platelet-Rich Plasma (PRP) injections were highly effective in treating plantar fasciitis in elderly patients. No non-injection treatments were found to surpass the efficacy of PRP. Further research is needed to explore additional effective therapies for geriatric plantar fasciitis beyond PRP.
Advanced processor selection guidance system for optimal computing performance using AHP-profile matching Winardi, Slamet; Gumelar, Agustinus Bimo; Zulkifli, Che Zalina; Salmanarrizqie, Ageng; Suryo, Philipus
Jurnal Ilmiah Kursor Vol. 13 No. 2 (2025)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v13i2.439

Abstract

The increasing complexity of modern processors and rapid advances in computing technology pose significant challenges for users seeking to select the optimal processor to satisfy their specific requirements. The " Processor Selection with AHP-Profile Matching: Implementation and Performance Analysis" addresses this problem by providing a structured, evidence-based approach to processor selection. This system integrates the Analytic Hierarchy Process (AHP) and profile matching algorithms to evaluate and rank processors based on parameters such as brand, price, socket type, thermal design power (TDP), core count, thread count, clock speed (GHz), DDR compatibility, and PCIe version. User inputs were collected and analyzed using the AHP to determine the relative importance of each criterion. Profile matching aligns user requirements with optimal processor configurations in a database. Results are presented through a comparative analysis that highlights each processor's strengths and limitations. Compatibility checks ensure seamless integration with existing hardware. The results indicate an accuracy of 81% with AHP alone and 91% with the combined AHP-Profile Matching approach. The proposed system significantly improves decision-making efficiency by providing a robust, user-centric processor selection approach and optimizing computational performance.
PEMBUATAN APLIKASI KOPERASI SIMPAN PINJAM DI DESA BAMBE, DRIYOREJO Purwanto, Devi Dwi; Winardi, Slamet; Subandoro, Philipus Suryo; Kartika Salim, Shierly; Gabeler, Robertus Geraldyn Alexandro; Tristianti, Berliana Az Zahra; Gumelar, Agustinus Bimo
Jurnal AbdiMas Nusa Mandiri Vol. 8 No. 1 (2026): Periode Januari 2026
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v8i1.7390

Abstract

This community service activity aims to support the Savings and Loan Cooperative in Bambe Village, Driyorejo District, in addressing problems of inefficient manual recording, potential errors, and suboptimal transparency of financial information for members. The proposed solution is the development of a web-based application that includes membership management, recording of savings and loan transactions, interest calculation, real-time financial reporting, transaction notifications, and automatic calculation of Operating Surplus (SHU). The implementation method consists of six stages: problem analysis, collaborative solution design with partners, system implementation, training and assistance, monitoring and evaluation, and report preparation and publication. The results show that the application is able to improve cooperative administrative efficiency, accelerate the reporting process, and increase the openness of information access for members. Based on questionnaire results from 30 respondents, the level of user satisfaction falls into the very good category with an average score of 4.5 out of 5. Further evaluation indicates the need to improve members’ understanding of application usage, leading to additional training and system improvements based on user feedback. Future development is directed toward the integration of digital payment systems.
Exploring the Time-efficient Evolutionary-based Feature Selection Algorithms for Speech Data under Stressful Work Condition Adi, Derry Pramono; Junaedi, Lukman; Frismanda; Gumelar, Agustinus Bimo; Kristanto, Andreas Agung
EMITTER International Journal of Engineering Technology Vol 9 No 1 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i1.571

Abstract

Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection Algorithms (FSA) for speech data under workload stress. FSA contributes to reducing both data dimension and computation time and simultaneously retains the speech information. We chose to use the robust Evolutionary Algorithm, Harmony Search, Principal Component Analysis, Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, and Bee Colony Optimization, which are then to be evaluated using the hierarchical machine learning models. These FSAs are explored with the conversational workload stress data of a Customer Service hotline, which has daily complaints that trigger stress in speaking. Furthermore, we employed precisely 223 acoustic-based features. Using Random Forest, our evaluation result showed computation time had improved 3.6 faster than the original 223 features employed. Evaluation using Support Vector Machine beat the record with 0.001 seconds of computation time.
Optimization of Latency and Security in Multi-Door Access Control Systems through Centralized Mobile Biometric Verification Agustinus Bimo Gumelar; Laxmi Utari; Ageng Salmanarrizqie; Muhammad Nasir
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.9153

Abstract

Eskalasi kebutuhan terhadap keamanan fisik dalam paradigma digital menuntut solusi kontrol akses multi-titik yang tangguh. Penelitian ini menyajikan perancangan arsitektur dan implementasi sistem penguncian multi-pintu terpusat yang terintegrasi dengan autentikasi biometrik dan konektivitas nirkabel. Metodologi yang diterapkan menggunakan pendekatan pengembangan sistem terintegrasi, memanfaatkan Arduino Uno sebagai pengendali utama dan ESP8266 untuk transmisi data nirkabel yang terhubung melalui aplikasi seluler. Metrik kinerja kuantitatif memvalidasi efisiensi sistem dengan catatan latensi rata-rata 1,2 detik pada lima titik akses serta akurasi autentikasi biometrik mencapai 96%. Notifikasi status waktu nyata berhasil dikirimkan dalam ambang batas dua detik guna memastikan transparansi operasional. Analisis menunjukkan bahwa stabilitas jaringan merupakan determinan kinerja kritis, di mana atenuasi sinyal di bawah -75 dBm berdampak signifikan terhadap responsivitas. Temuan ini mengindikasikan bahwa konvergensi biometrik seluler dan perangkat keras terdistribusi menyediakan kerangka kerja yang skalabel dan hemat biaya bagi infrastruktur keamanan modern.
Co-Authors Achmad Teguh Wibowo Adi Nugroho Adi, Derry Pramono Adri Gabriel Sooai Ageng Salmanarrizqie Ageng Salmanarrizqie Agung Widodo Agus Hermanto Ainurrochman Aisyiyah Tri Ratna Dewi Alvin Julian Andre Young Andreas Agung Kristanto, Andreas Agung Angelina, Zenia Ardianzah, Calvin Diaz Ari Andayani Ariesanti Tri Handayani, Ariesanti Tri Arrahman Kaffi Astri Yogatama Cahyo Darujati Derry Pramono Adi Derry Pramono Adi Devi Dwi Purwanto Dyana Sarvasti Eko Mulyanto Yuniarno Esther Yolanda Talahaturuson Farhandany Oktafarisky Frismanda Frismanda Frismanda Gabeler, Robertus Geraldyn Alexandro Gerardo AK Laksono Hasan Dwi Cahyono Hendrawan, Kevin Henry Ricardo Handoyo Hermawan Arga Saputra I Putu Bagus Eka Permadi Indar Sugiarto Indar Sugiarto Junaedi, Lukman Kartika Salim, Shierly Kevin Samsudin Laxmi Utari Ludia, Grace Margaretha Maulana Rizqi Maulana Rizqi Maulana Rizqi Mauridhi Hery Purnomo Moch Sholeh Moh Noor Al Azam Muhammad Nasir MY. Teguh Sulistyono Nugroho, Via Ardianto Nur Mira Permatasari Nur Sela Ameiliawati Paul L Tahalele Rendra Felani Salmanarrizqie, Ageng Samsudin, Kevin Slamet Winardi Subandoro, Philipus Suryo Suryo, Philipus Syamsul Anam Talahaturuson, Esther Yolanda Titiek, Ernawati Tristianti, Berliana Az Zahra Wahibullah, Wahibullah Wahyu Putra Adi Setiawan Wiwik Anggraeni Yovita Vivi Megasari Zulkifli, Che Zalina