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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 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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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.
PEMBUATAN APLIKASI KOPERASI SIMPAN PINJAM DI DESA BAMBE, DRIYOREJO Devi Dwi Purwanto; Slamet Winardi; Philipus Suryo Subandoro; Shierly Kartika Salim; Robertus Geraldyn Alexandro Gabeler; Berliana Az Zahra Tristianti; Agustinus Bimo Gumelar
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.
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 Berliana Az Zahra Tristianti Cahyo Darujati Derry Pramono Adi Derry Pramono Adi Devi Dwi Purwanto Dyana Sarvasti Eko Mulyanto Yuniarno Esther Yolanda Talahaturuson Farhandany Oktafarisky Frismanda Frismanda Frismanda Gerardo AK Laksono Hasan Dwi Cahyono Hendrawan, Kevin Henry Ricardo Handoyo Hermawan Arga Saputra I Putu Bagus Eka Permadi Indar Sugiarto Junaedi, Lukman 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 Philipus Suryo Subandoro Rendra Felani Robertus Geraldyn Alexandro Gabeler Salmanarrizqie, Ageng Samsudin, Kevin Shierly Kartika Salim Slamet Winardi Slamet Winardi Suryo, Philipus Syamsul Anam Talahaturuson, Esther Yolanda Titiek, Ernawati Wahibullah, Wahibullah Wahyu Putra Adi Setiawan Wiwik Anggraeni Yovita Vivi Megasari Zulkifli, Che Zalina