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All Journal JURNAL SISTEM INFORMASI BISNIS Elkom: Jurnal Elektronika dan Komputer Bulletin of Electrical Engineering and Informatics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Transformatika Scientific Journal of Informatics Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Informatika Upgris Prosiding 2nd Seminar Nasional IPTEK Terapan (SENIT) 2017 Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informasi dan Komunikasi Jurnal Sosial dan Teknologi INFORMATIKA Jurnal Pengabdian Mandiri Journal of Scientech Research and Development Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Manajemen Informatika & Teknologi Jurnal Riset Rumpun Seni, Desain dan Media (JURRSENDEM) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Creative Student Research Community: Jurnal Pengabdian Pada Masyarakat Journal of Multidisciplinary Science: MIKAILALSYS Journal of Technology Informatics and Engineering Seminar Nasional Teknologi dan Multidisiplin Ilmu Jurnal Indonesia : Manajemen Informatika dan Komunikasi SWAGATI: Journal of Community Service Saturnus: Jurnal Teknologi dan Sistem Informasi International Journal of Information Technology and Business Systematic Literature Review Journal Journal of Engineering, Electrical and Informatics Global Science: Journal of Information Technology and Computer Science Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Publikasi Teknik Informatika
Toni Wijanarko Adi Putra
Universita Sains Dan Teknologi Komputer
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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ANDROID BASED ADVERTISING REMINDER SYSTEM Toni Wijanarko Adi Putra; Alif Budi Saputro; Achmad Solechan; Budi Hartono
Jurnal Transformatika Vol. 21 No. 1 (2023): July 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.6067

Abstract

The aim of this research is to introduce an Android-based reminder system that automatically notifies Surya Media Advertising employees of expired leases. Android is a "Linux-based operating system used on mobile devices such as smartphones and tablet computers (PDAs)"[8]. The method used in system development is the SDLC method which is the waterfall model. B. The design step must wait for the completion of the previous step, namely the requirements step. Visual Studio Code and Android Studio are used as software for this research [12]. The results of this study are; 1) Reminder system can help capture rentals for locations faster and easier; 2) The notification function makes it easy to know when the rental period has expired.
Hybrid TCN GRU Based Multi-Horizon Forecasting with Adaptive Conformal Prediction for Decision Support Systems Danang Danang; Toni Wijanarko Adi Putra
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 3 (2024): September : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i3.6156

Abstract

Multivariate time-series forecasting has become an essential component in energy systems and industrial monitoring applications, where changing data distributions and temporal non-stationarity reduce the reliability of point predictions alone for decision-making purposes. This study investigates multi-horizon forecasting on the ETTh1 benchmark with oil temperature (OT) as the prediction target. The research focuses on two key challenges: integrating short-term pattern extraction with long-range temporal dependency modeling in a lightweight forecasting framework, and providing distribution-free uncertainty estimation that remains reliable under temporal drift conditions. To address these issues, a hybrid forecasting architecture is proposed by combining a causal dilated Temporal Convolutional Network (TCN) for local feature extraction and a Gated Recurrent Unit (GRU) layer for modeling longer sequential dependencies. The model simultaneously predicts four forecasting horizons 96, 192, 336, and 720 steps using multivariate observations and temporal features from a fixed historical window. For uncertainty estimation, time-aware conformal prediction is implemented through chronological train, calibration, and test partitions. The study compares conventional static conformal intervals with an adaptive rolling approach that dynamically updates horizon-specific quantiles based on recent residual patterns. Experimental results on the ETTh1 dataset demonstrate that the proposed hybrid model achieves superior forecasting accuracy compared with standalone TCN and GRU baselines, obtaining an MAE of 4.615 and RMSE of 5.382 for OT prediction. Furthermore, the adaptive conformal strategy improves empirical coverage from 0.790 to 0.870 while maintaining a relatively moderate increase in prediction interval width. A threshold-based decision-support mechanism utilizing the predictive upper bound is also introduced to illustrate how calibrated uncertainty intervals can support practical trade-offs between false alarms and missed detections. Overall, the proposed framework offers an efficient and reproducible solution for uncertainty-aware multi-horizon forecasting in dynamic environments.
Citation-Constrained Multi-Document Summarization with Evidence-Grounded Generation Danang Danang; Toni Wijanarko Adi Putra
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 2 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i2.6157

Abstract

Decision-making processes often need summaries that are concise, accurate, and easy to verify. However, neural abstractive summarization models may produce unsupported information or hallucinations. This study explores citation-constrained multi-document summarization using the Multi-News dataset, where each important statement in the summary is connected to a supporting sentence through citation markers such as [S1] and [S2]. The proposed method applies an evidence-grounded pipeline consisting of sentence segmentation, Top-K evidence retrieval using BM25 or dense embedding methods, and a BART-based model for generating citation-aware summaries. Since the Multi-News dataset does not provide citation annotations, silver-standard citation labels are created using TF-IDF cosine similarity. An optional alignment filtering process is also applied to reduce weakly supported content. The evaluation process includes ROUGE scores, citation precision and coverage, as well as consistency checks for entities and numerical information. Experimental results on a small reproducible dataset show that the proposed approach can generate summaries with measurable citation quality while maintaining ROUGE performance comparable to non-citation models. Overall, this framework improves transparency and supports more reliable and auditable summarization under limited computational resources.
Hybrid Subword–Character Representation for Robust Sentiment Classification on Multilingual and Code-Mixed Indonesian Text Danang Danang; Toni Wijanarko Adi Putra
Journal of Creative Student Research Vol. 2 No. 6 (2024): Desember : Journal of Creative Student Research
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jcsr-politama.v2i6.6153

Abstract

User-generated Indonesian text frequently exhibits code-mixing with English (“Indonglish”), informal spelling, elongation, and keyboard typos. These phenomena break subword tokeniza tion assumptions and may degrade multilingual Transformer performance in deployment. This paper studies a hybrid representation that fuses XLM-R sentence features with a character-level CharCNN branch designed to capture orthographic patterns and mitigate character noise. We evaluate (i) a standard XLM-R fine-tuning baseline, (ii) an ablation that removes the character branch (NusaX only), and (iii) the proposed hybrid model on two datasets: NusaX-Senti (12 regional languages) and Indonglish (Indonesian–English code-mixed sentiment). Beyond clean test performance, we introduce a controlled robustness protocol by injecting character-level perturbations with probability p=0.18 and measuring performance drop. Results show that the XLM-R baseline achieves the best clean Macro-F1 on both datasets, while the hybrid model substantially improves robustness on Indonglish by reducing Macro-F1 drop from 0.030 to 0.007 under noise. We analyze common error confusions and discuss when character-aware features help or harm across languages.
Analysis of EfficientNet-B0 with Sample Reweighting and Early-Learning Regularization for Food Recognition under Label Noise Danang Danang; Toni Wijanarko Adi Putra
Journal of Creative Student Research Vol. 3 No. 6 (2025): Journal of Creative Student Research
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jcsr-politama.v3i6.6154

Abstract

Food recognition systems are commonly developed under the assumption that training labels are fully accurate. In real-world applications, however, food image datasets frequently contain noisy annotations caused by incorrect user inputs, weak labeling mechanisms, or automated data collection processes. This study investigates the robustness of supervised food recognition under synthetic label noise using the Food-101 dataset Food-101. The research employs EfficientNet-B0 as a computationally efficient backbone model and compares conventional cross-entropy learning with a robust training approach that integrates two mechanisms: (1) small-loss sample reweighting to reduce the influence of potentially corrupted samples, and (2) an early-learning stopping strategy based on the memorization gap between noisy training accuracy and clean validation accuracy. Symmetric label noise levels of 20% and 40% are introduced only into the training data, while validation and testing datasets remain unaffected. Experimental results on a 20-class subset demonstrate that the proposed approach substantially improves clean test accuracy from 0.6476 to 0.8176 under 20% noise and from 0.5636 to 0.6928 under 40% noise. In addition, probability calibration performance measured by Expected Calibration Error (ECE) is improved from 0.1474 to 0.0813 at the 40% noise setting. Additional experiments on the complete 101-class dataset also reveal consistent performance improvements despite shorter training durations. The findings suggest that combining loss-aware sample weighting with memorization-aware early stopping can provide an efficient and practical solution for building robust and reliable food recognition models in noisy-label environments.
Rancang Bangun Sistem Informasi Pelayanan Gereja Berbasis Web Menggunakan Framework Laravel (Studi Kasus: Gereja HKBP Petojo Jakarta) Nursista Laura Nainggolan; Toni Wijanarko Adi Putra; Unang Achlison
Jurnal Manajemen Informatika & Teknologi Vol. 6 No. 2 (2026): Oktober : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/mifortekh.v6i2.1426

Abstract

The rapid advancement of information technology has encouraged religious organizations to adopt information systems to improve service effectiveness for congregation members. HKBP Petojo Church in Jakarta still delivers service information manually through verbal announcements, printed media, and unintegrated social media, which risks delays and miscommunication. This research designs and develops a web-based Church Service Information System to centralize the management of church service information and facilitate congregation members' access to it. The system was built using the Rapid Application Development (RAD) method, comprising Requirements Planning, User Design, Construction, and Cutover stages, with Laravel as the backend framework, Vue.js as the user interface, and MySQL as the database. Two user roles are accommodated: Church Admin and congregation. The Admin can manage congregation data, schedules, announcements, bulletins, galleries, and church profiles, while congregation members can access worship schedules, announcements, church history, galleries, and bulletins. Testing was conducted manually using Black Box Testing across 27 scenarios, all successful, yielding a 100% success rate. The results show that the system fulfills the functional requirements and provides a centralized, easily accessible medium for church service information.  
RANCANG BANGUN SISTEM INFORMASI AKADEMIK BERBASIS WEB MOBILE Chicie Chandani; Migunani Migunani; Toni Wijanarko Adi Putra Putra
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 1 No. 3 (2021): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v1i3.62

Abstract

Digitalisasi adalah proses lih media dari bentuk tercetak, audio, maupun video menjadi bentuk digital. Sistem digitalisasi dokumen ini dalam pengalihan dokumen fisik ke dokumen digital mengatur beberapa hal seperti scanning, pengindeksan dokumen elektronik, pencarian dokumen dan proses cetak media elektronik di kembalikan ke media kertas. Tujuan dari aplikasi ini, di harapkan dengan adanya sistem ini pihak kantor urusan agama kecamatan sayung tidak lagi mengalami permasalahan seperti dokumen di temukan setelah lama mencari di tumpukan dokumen, jumlah dokumen tiap hari bertambah dan tempat penyimpanan dokumen terlalu kecil bila di bandingkan jumlah dokumen, dan dapat mempercepat proses pencarian dokumen sehingga petugas arsip dapat meningkatkan pelayanan permohonan dokumen akta nikah dan ikrar wakaf. Pada sistem ini, metode yang di gunakan untuk pengamanan dokumen fisik hasil cetak dari sistem adalah visible watermark cara kerja dari metode ini adalah menimpakan sebuah tanda yang terlihat secara visual ke dalam obyek utama. Tanda yang di timpakan ini berupa logo, simbol atau tanda-tanda lainya. Metode penelitian yang digunakan adalah Research and Development (R&D) yang terdiri dari 10 langkah namun pengembangan sistem yang di laksanakan pada penelitian ini hanya sampai pada tahap ke 6 (enam) menghasilkan produk akhir berupa prototype, sehingga tidak sampai pada tahap implementasi produk. Keenam langkah tersebut adalah Research and information collecting, Planning, Develop prelminaryformof, Preliminary field testing, main product revisian dan Main field testing.
RANCANG BANGUN SISTEM ABSENSI GURU BERBASIS FACE RECOGNITION MENGGUNAKAN FACE-API.JS DAN METODE EUCLIDEAN DISTANCE PADA SD IT NURUL IMAN Afrizal Setiawan; Migunani; Toni Wijanarko Adi Putra
Journal of Scientech Research and Development Vol 8 No 2 (2026): JSRD, December 2026
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v8i2.1680

Abstract

Pengelolaan absensi guru secara manual di SD IT Nurul Iman Semarang rentan terhadap kecurangan, ketidakakuratan data, serta membutuhkan waktu yang tidak efisien dalam proses rekapitulasi kehadiran. Berdasarkan observasi awal, proses absensi konvensional menggunakan buku daftar hadir membutuhkan waktu rata-rata 5-10 menit per sesi, belum termasuk waktu rekapitulasi harian yang dikerjakan secara manual oleh staf tata usaha. Penelitian ini merancang dan membangun sistem absensi guru berbasis pengenalan wajah (face recognition) yang diimplementasikan sebagai aplikasi web pada SD IT Nurul Iman. Sistem dikembangkan menggunakan PHP dan MySQL sebagai backend, serta memanfaatkan library face-api.js dengan model TinyFaceDetector untuk proses deteksi dan ekstraksi fitur wajah secara real-time langsung di sisi browser (client-side). Verifikasi identitas dilakukan menggunakan metode Euclidean Distance dengan nilai threshold 0,38. Sistem menerapkan prinsip one face one person dengan mode verifikasi 1:1. Pengujian Black Box Testing terhadap 25 skenario menunjukkan hasil 100% berhasil. Pengujian akurasi face recognition menghasilkan True Acceptance Rate (TAR) sebesar 94,4% dan False Acceptance Rate (FAR) sebesar 1,6%, dengan rata-rata waktu respons verifikasi 1,8 detik.
Development of a Web-Based Correspondence Service Information System to Improve the Administrative Efficiency of Wonowoso Village Deva Arianto Seno; Toni Wijanarko Adi Putra; Budi Hartono
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 3 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i3.12257

Abstract

Correspondence administration in Wonowoso Village relied on conventional procedures that lacked an integrated digital workflow for citizen submissions and administrative records. This study aimed to develop a web-based correspondence service information system to support more orderly village administration. Development comprised requirements mapping, system design, implementation, and functional verification. The application was built using Node.js, Express.js, EJS, MongoDB, and Mongoose, with Multer, express-session, bcryptjs, and Nodemailer supporting document uploads, administrator sessions, password security, and rejection notifications, respectively. Verification combined source-code inspection, desktop interface rendering, and examination of a MongoDB backup snapshot. The developed system provides four service types and connects citizen submissions with administrator processing through Pending, Approved, and Rejected statuses. Citizens can review service requirements, complete application forms, and upload supporting documents, while administrators can examine applications, assign letter numbers, preview letters, approve requests, and record reasons for rejection. The database snapshot contained four applications: one Approved and three Rejected. The system supports a more organized administrative workflow through centralized records, online submissions, and structured status management. Its contribution to administrative efficiency is therefore limited to workflow-level support; quantitative improvements were not established because pre–post service-time measurements and user usability testing were unavailable. The study provides a practical basis for refining digital village services and conducting broader field evaluations of efficiency and usability.
Co-Authors Achmad Solechan Afrizal Setiawan Agung Surono Ahmad Ashifuddin Aqham Aldho Dwi Kurniawan Alex Ristanto Pratama Alif Budi Saputro Aloysius Rianto Andra Matarisman Arditya Himawan Arrivo Athaillah Maheswara Arsito Ari Kuncoro Aslina Baharum Budi Hartono budi hartono Budi Hartono Budi Hartono Cahyo Arief Budiman Chandani, Chicie Chicie Chandani Chicie Chandani Danang Danang Danang, Danang Dani Sasmoko Dendy Kurniawan Deva Arianto Seno Devi Astri Nawangnugraeni Dimas Rahardian Dwi Prasetyaningsih Edy Siswanto Eko Siswanto Eko Siswanto Endrahadi Rahadian Endro Farhan Afif Ilmi Febryantahanuji Febryantahanuji Fitro Nur Hakim Fitro Nur Hakim Fujiama Diapoldo Silalahi Fujiama Diapoldo Silalahi Hakim , Fitro Nur Haryo Kusumo Haryo Kusumo Iman Saufik Suasana Isaac Vital Jarot Dian Susatyono Khoirur Rozikin Kusumo, Haryo Kusworo Adi Lawrence Adi Supriyono M. Zakki Abdillah Migunani Migunani Migunani Mohamad Irkam Muchamad Widodo Muhammad Walid Syahrul Churum mukhamad masrur Nanda Natalia Nuris Dwi Setiawan Nursista Laura Nainggolan R Rizal Isnanto Rizal Dewo Susanto Roni Eka Setiawan Rusito Siswanto Siswanto Siswanto Siswanto Siswanto, Edy Solikhin Solikhin Sulartopo Sulartopo Ulil Asyhar Unang Achlison Victor Gayuh Utomo Virgiawan Restu Pratama Wibowo, Mars Caroline Yehezkiel Yanu Putranto Yohanes Suhari Yuli Fitrianto Zaenal Mustofa