Article Per Year (5 Year)
p-Index From 2021 - 2026
4.506
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Informatika Komputer Jurnal Terapan Abdimas Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Informatika STMIK Antar Bangsa JURNAL TEKNOLOGI DAN OPEN SOURCE JUSIM (Jurnal Sistem Informasi Musirawas) Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Scientific Journal of Informatics Infotek : Jurnal Informatika dan Teknologi Jurnal Teknologi Informatika dan Komputer SKANIKA: Sistem Komputer dan Teknik Informatika Akrab Juara : Jurnal Ilmu-ilmu Sosial Computer Science (CO-SCIENCE) Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Manajemen Sistem Informasi Jurnal Aruna Mengabdi (ARMI) Jurnal Kecerdasan Buatan dan Teknologi Informasi Router : Jurnal Teknik Informatika dan Terapan Saturnus: Jurnal Teknologi dan Sistem Informasi Jurnal Sistem Komputer (SISKOM) NAAFI: JURNAL ILMIAH MAHASISWA Indonesian Community Service Journal of Computer Science (IndoComs) Router : Jurnal Teknik Informatika dan Terapan
Ahmad Fauzi
Universitas Bina Sarana Informatika
Religion Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Public Health Social Sciences Other

Published : 39 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 39 Documents
Search

 1   2   3   4 
Rancang Bangun Sistem Pengujian Laboratorium Berbasis Web Menggunakan Workflow Approval RBAC pada BBPOPT Suwandi Irawan; Ahmad Fauzi; Susy Rosyida
Router : Jurnal Teknik Informatika dan Terapan Vol. 4 No. 3 (2026): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v4i3.1012

Abstract

The Center for Forecasting Plant Pest Organisms (Balai Besar Peramalan Organisme Pengganggu Tumbuhan/BBPOPT) plays a strategic role in managing laboratory testing services to support national crop protection. However, the previous operational service mechanism operated semi-manually, causing bottlenecks in tracking application statuses, assigning laboratory analysts, verifying payment proofs, and conducting multi-stage validation for test reports and certificates. This study aims to design and develop a web-based Laboratory Testing Service Information System that integrates a multi-stage approval workflow and Role-Based Access Control (RBAC) across seven user actors using the Laravel 12 framework. Software development followed the Prototype methodology comprising five systematic phases: communication, planning, modeling, construction, and deployment. Functional evaluation was conducted via Black-Box Testing on 16 test scenarios (8 front-end and 8 back-end scenarios), covering application submission, payment verification, role-based route authorization security, and document validation. The Black-Box test results demonstrated 100% functional compliance (valid). Furthermore, User Acceptance Testing (UAT) involving 20 participants (10 service users and 10 internal staff across six back-end roles) achieved a 100% acceptance rate. Consequently, the developed system is functionally validated and well accepted by end users in supporting laboratory testing service governance at BBPOPT.
Development of an IoT-Based Pond Water Quality Monitoring and Control System Using Arduino UNO R4 WiFi in Ciseeng Village Ade Setiawan; Popon Handayani; Hanggoro Aji Al Kautsar; Rifky Permana; Ahmad Fauzi; Andry Maulana
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3975

Abstract

Water quality is an important factor in supporting the success of catfish (Pangasianodon hypophthalmus) farming because it affects fish growth and survival. Manual monitoring has limitations in obtaining periodic and well-documented data. This study aimed to develop an Internet of Things (IoT)-based pond water quality monitoring system using Arduino UNO R4 WiFi in Ciseeng Village. The system monitored three parameters: pH, dissolved oxygen (DO), and water temperature, using DFRobot pH and DO sensors and a temperature sensor. The research employed a design and development method with an experimental approach, including system design, hardware and software development, sensor testing, integration, field implementation, data collection, and analysis. Monitoring from September 2 to October 9, 2025, produced 439 measurement records. After excluding five anomalous readings suspected to result from sensor errors, the average values were 6.49 for pH, 6.38 mg/L for DO, and 31.14°C for temperature. Based on operational thresholds of pH 6–9, DO >4 mg/L, and temperature 27–33°C, the parameters met the thresholds by 99.31%, 100%, and 100%, respectively. The results indicate that the system can support periodic pond water quality monitoring for catfish farming.
The Influence of Perceived Usefulness on QRIS Technology Adoption in Mobile Banking Applications Using the Technology Acceptance Model (TAM) Seven Kurniawan Gea; Mochammad Abdul Azis; Ahmad Fauzi; Ginabila Ginabila
Jurnal Manajemen Sistem Informasi (JMASIF) Vol. 5 No. 2 (2026): Oktober
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jmasif.v5i2.1029

Abstract

The integration of the Quick Response Code Indonesian Standard (QRIS) into mobile banking applications has reshaped retail payment behaviors in Indonesia. Grounded in the Technology Acceptance Model (TAM), this study examines the predictive effect of perceived usefulness on QRIS technology adoption among active mobile banking users. A quantitative explanatory survey was conducted with 100 verified respondents in the Jakarta Metropolitan Area, recruited using purposive sampling. Data were analyzed using simple linear regression after conducting psychometric and classical assumption diagnostics. The results show that perceived usefulness has a statistically significant positive effect on QRIS adoption (β = 0.766, p < 0.001), explaining 58.7% of the variance (R² = 0.587). In this study, perceived usefulness captures cognitive expectations related to transaction speed, operational efficiency, and practical advantages, while technology adoption reflects sustained behavioral reliance, recurrent use, and satisfaction in everyday transactions. These findings support TAM in financial technology contexts and imply that commercial banks and payment system engineers should prioritize low-latency scanning, seamless biometric authorization, and reliable transaction settlement to sustain adoption.
Penerapan SMS Gateway pada Aplikasi Pemesanan Perlengkapan Ragha Outdoor & Safety Nayla Rahmania Putri; Ahmad Fauzi
Jurnal Teknik Informatika Vol 12 No 2 (2026): Vol. 12 No. 2 (2026)
Publisher : LPPM STMIK Antar Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract— Wedding Organizer is a service that helps prospective brides and grooms organize their wedding according to their needs. The large number of Wedding Organizer providers makes it difficult for prospective brides and grooms to determine the right choice. Therefore, this study applies the Simple Additive Weighting (SAW) method to select a Wedding Organizer in the Jabodetabek area and its surroundings. The results show that NabilaSandra Wedding Organizer (A8) obtained the highest score of 80.4 and ranked first.   Abstrak— Wedding Organizer merupakan penyedia jasa yang membantu calon pengantin dalam mempersiapkan pernikahan sesuai dengan kebutuhan. Banyaknya penyedia jasa Wedding Organizer membuat calon pengantin mengalami kesulitan dalam menentukan pilihan yang tepat. Oleh karena itu, penelitian ini menerapkan metode Simple Additive Weighting (SAW) untuk memilih Wedding Organizer di wilayah Jabodetabek dan sekitarnya. Hasil penelitian menunjukkan bahwa NabilaSandra Wedding Organizer (A8) memperoleh nilai tertinggi sebesar 80,4 dan menempati peringkat pertama.
ANALISIS KEPUASAN KONSUMEN TFT CREATION TEXTILE PADA PLATFORM SHOPEE MENGGUNAKAN METODE END-USER COMPUTING SATISFACTION (EUCS) Josia Joseph Ntahudi; Ahmad Fauzi
NAAFI: JURNAL ILMIAH MAHASISWA Vol. 2 No. 6 (2026): NAAFI: Jurnal Ilmiah Mahasiswa
Publisher : Pusat Penelitian dan Pengabdian (P3M) STKIP Majenang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62387/naafi.v2i6.547

Abstract

The development of e-commerce in Indonesia has facilitated digital buying and selling transactions, one of which is through the Shopee platform. TFT Creation Textile is a business entity that utilizes Shopee services to market products and reach broader consumers. To compete, retain customers, and improve service quality, the company needs to determine the level of customer satisfaction with the services provided. This study aims to analyze the level of Shopee service user satisfaction towards TFT Creation Textile using the End-User Computing Satisfaction (EUCS) method.The End-User Computing Satisfaction (EUCS) method was chosen because it can comprehensively measure the level of user satisfaction from the end-user's perspective through five main dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. The approach used in this research is descriptive quantitative. Data collection was conducted by distributing questionnaires to 122 respondents who are consumers of TFT Creation Textile. The collected primary data was then tested using IBM SPSS Statistics software to determine the validity (Pearson Correlation) and reliability (Cronbach's Alpha) of the research instrument.The instrument testing results showed that all statement items were declared valid and reliable with a Cronbach's Alpha value of 0.799. Based on the calculation of the final End-User Computing Satisfaction (EUCS) score, a cumulative total score of 4,538 was obtained. This figure resulted in a final satisfaction percentage of 74.39%. This indicates that, overall, the level of Shopee service user satisfaction towards TFT Creation Textile is in the "Satisfied" category. The results of this study are expected to serve as evaluation material and recommendations for TFT Creation Textile in maintaining service quality and improving future sales strategies
Implementation of Machine Learning using the Multiple Linear Regression Method for Boarding House (Kost) Rental Price Prediction Around Universitas BSI Jatiwaringin Campus David Utomo; Ahmad Fauzi; Andi Sanjaya
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 6 No. 1 (2026): October 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v6i1.2720

Abstract

SIPREKOS is a web-based boarding house (kost) rental price prediction system developed to help students and kost owners around Universitas BSI Jatiwaringin Campus obtain objective price estimates. High rental prices and limited price transparency motivate the need for such a system. This study builds a prediction model using the Multiple Linear Regression method with polynomial features, based on nine kost predictor variables together with a squared-distance derivative variable to capture the non-linear effect of distance on price. Primary data were collected manually from 115 kost units listed on Mamikos.com within a 3 km radius of the campus during May–June 2026, then cleaned using an absolute-error-based residual analysis method, resulting in 100 valid records. The valid data were split 80:20 into training and test sets; regression coefficients were estimated from the training set using the Normal Equation. Testing shows the model explains 72.4% of rental-price variance (R² = 0.724) with an average prediction error of IDR 116,969 (MAE), and it passes the classical assumption tests (multicollinearity, heteroscedasticity, and normality), confirming that the estimator is BLUE (Best Linear Unbiased Estimator). Black-box testing across ten scenarios shows that all system functions, for both general users and administrators, operate according to specification.
APPLICATION OF STACKING ENSEMBLE LEARNING TO IMPROVE THE ACCURACY OF PREDICTING STUDENT GRADUATION TIMES Hiya Nalatissifa; Sri Diantika Diantika; Riki Supriyadi; Nurlaelatul Maulidah; Ahmad Fauzi
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 19 No 2 (2025): November 2025
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/e8mfgw75

Abstract

Kepastian waktu lulus mahasiswa adalah salah satu indikator krusial dalam mengevaluasi mutu pendidikan tinggi sekaligus menjadi komponen utama akreditasi program studi maupun institusi. Oleh karena itu, kemampuan untuk memprediksi kelulusan tepat waktu sangat diperlukan guna mendukung intervensi akademik yang tepat sasaran. Tujuan dari penelitian ini yaitu membangun model prediksi ketepatan waktu kelulusan mahasiswa dengan pendekatan Stacking Ensemble Learning. Model yang digunakan terdiri atas Random Forest dan XGBoost sebagai base learners, serta Logistic Regression sebagai meta learner. Dataset yang digunakan berjumlah 1.687 data mahasiswa dengan atribut nilai Indeks Prestasi (IP) dari semester 1 hingga semester 4 serta label kelulusan tepat waktu. Tahapan penelitian meliputi preprocessing data (konversi label, penambahan fitur turunan, normalisasi, dan penyeimbangan kelas dengan SMOTE), pemisahan data latih dan uji dengan rasio 70:30, serta pembangunan model stacking. Evaluasi dilakukan menggunakan metrik Accuracy, Precision, Recall, F1-Score, dan Confusion Matrix. Hasil penelitian menunjukkan bahwa model stacking ensemble mampu mencapai akurasi sebesar 92,27%, precision 94,49%, recall 90,13%, dan F1-Score 92,26%. Hasil ini lebih tinggi dibandingkan penelitian sebelumnya yang menggunakan Random Forest dengan Random Oversampling, yang hanya memperoleh akurasi 90,04% dan F1-Score 88,38%. Dengan demikian, penelitian ini membuktikan bahwa Stacking Ensemble Learning efektif dalam meningkatkan performa prediksi ketepatan waktu kelulusan mahasiswa dan dapat dijadikan sebagai dasar pengembangan sistem pendukung keputusan akademik
PERANCANGAN CHATBOT ARTIFICIAL INTELLIGENCE BERBASIS RETRIEVAL AUGMENTED GENERATION LAYANAN INFORMASI HOTEL DENGAN FLOWISE AI Varla Octavia Ramadhani; Ahmad Fauzi; Andi Sanjaya
JUSIM (Jurnal Sistem Informasi Musirawas) Vol. 11 No. 3 (2026): JUSIM:Jurnal Sistem Informasi Musi Rawas September
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Industri perhotelan menghadapi tantangan dalam menyediakan layanan informasi yang cepat, akurat, dan tersedia selama 24 jam bagi tamu terkait kamar, fasilitas, tarif, serta kebijakan operasional, sementara layanan konvensional yang bergantung pada staf tidak selalu mampu menjangkau seluruh kebutuhan tersebut secara optimal. Penelitian ini bertujuan merancang chatbot Artificial Intelligence berbasis Retrieval Augmented Generation (RAG) sebagai solusi layanan informasi hotel menggunakan platform Flowise AI. Metode penelitian dilaksanakan secara sekuensial meliputi identifikasi masalah, studi literatur, pengumpulan data, analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Basis pengetahuan chatbot disusun dari 50 dokumen product knowledge hotel yang dikelompokkan ke dalam enam kategori, kemudian diproses melalui tahap chunking dan embedding menggunakan model OpenAI text-embedding-3-small, lalu disimpan pada vector database Pinecone, dengan model bahasa GPT-4o Mini sebagai komponen generasi jawaban. Pengujian dilakukan menggunakan metode Black Box Testing terhadap 150 skenario pertanyaan yang dianalisis lebih lanjut menggunakan pendekatan Confusion Matrix. Hasil pengujian menunjukkan sistem chatbot memperoleh akurasi keseluruhan sebesar 88,00% (132 dari 150 jawaban benar), dengan nilai precision 100,00%, recall 87,76%, dan F1-score 93,48%. Performa tertinggi diperoleh pada kategori Suites (100,0%) dan performa terendah pada kategori Rooms (82,9%). Hasil ini menunjukkan bahwa chatbot berbasis RAG dengan platform Flowise AI mampu menjawab pertanyaan tamu secara akurat tanpa menghasilkan informasi di luar cakupan knowledge base, sehingga layak diterapkan sebagai media layanan informasi hotel yang efektif dan responsif.
Pengukuran Kualitas Aplikasi Dapodik Menggunakan Metode WebQual 4.0 dan Kepuasan Operator SMA di Kota Tangerang Adina Nopiyanti; Susy Rosyida; Ahmad Fauzi
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 4 No. 4 (2026): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v4i4.1854

Abstract

The Dapodik (Data Pokok Pendidikan) application plays a strategic role in Indonesian education governance, and school operators are its primary users. This study assesses the perceived quality of Dapodik among school operators and examines the association of each WebQual dimension with user satisfaction. A quantitative cross-sectional survey was conducted using WebQual 4.0, with Usability Quality, Information Quality, and Service Interaction Quality as predictors and User Satisfaction as the outcome. An online Likert-scale questionnaire was completed by 91 of 92 eligible operators (98.91%) at senior high schools in Tangerang City, recruited through purposive sampling that approximates a census. Cronbach's alpha ranged from 0.703 to 0.826, and all variables were rated very high (means 4.62–4.74). In multiple linear regression, the three dimensions were jointly associated with satisfaction (F(3, 87) = 36.462; p < 0.001; R² = 0.557). Only Service Interaction Quality showed a significant partial association (B = 0.364; 95% CI 0.257–0.471). Because the data are self-reported at a single time point, the findings are associational, not causal. Service interaction quality should be maintained, while technical improvements require an audit first.  
Co-Authors Ade Setiawan Adina Nopiyanti Andi Sanjaya Andika Bayu Hasta Yanto Andry Maulana Anjelika Maulida Artika Surniandari Aziz Setyawan Hidayat, Aziz Setyawan Bambang Wijonarko David Utomo Dewi Ayu Nur Wulandari Diantika, Sri Erniawati Erniawati Febri Ainun Jariyah Ginabila Hamdun Sulaiman Hana Dwi Lestari Hanggoro Aji Al Kautsar Hilda Rachmi Hiya Nalatissifa Imam Nawawi Josia Joseph Ntahudi Maria Fatima Jedo Tukan Michelyn Angela Sabatini Rajagukguk Mochammad Abdul Azis Naufal Brilianto Nayla Rahmania Putri Nila Hardi Novita Indriyani Nurlaelatul Maulidah Pas Mahyu Akhirianto Popon Handayani Rifky Permana Riki Supriyadi Risa Wati - AMIK BSI Tasikmalaya Risa Wati - AMIK BSI Tasikmalaya Risca Lusiana Pratiwi Robi Aziz Zuama Safitri Linawati Septian Rizky Insani Rizky Insani Seven Kurniawan Gea Silvy Nur Azizah Sri Diantika Diantika Sunarti Susy Rosyida Suwandi Irawan Syifa Salsabila Taufik Hidayatulloh Varla Octavia Ramadhani Verra Sofica Wandy Ubleeuw Zulia Imami Alfianti