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All Journal International Journal of Electrical and Computer Engineering Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JMM (Jurnal Masyarakat Mandiri) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Almana : Jurnal Manajemen dan Bisnis AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Teknologi Terpadu Journal of Applied Engineering and Technological Science (JAETS) Journal of System and Computer Engineering Jurnal Informatika Terpadu Indonesian Journal of Intellectual Publication (IJI Publication) Global Abdimas: Jurnal Pengabdian Masyarakat Publikasi Riset Mahasiswa Manajemen Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Journal Pharmacy and Application of Computer Sciences Journal of Innovative and Creativity Advances in Computer System Innovation Journal (ACSI Journal) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Indonesian Journal of Intellectual Publication (IJI Publication)
Jeffry Jeffry
Prodi Ilmu Komputer, Institut Teknologi Bacharuddin Jusuf Habibie
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Pemanfaatan Data Pengguna untuk Sistem Rekomendasi dalam Aplikasi Pemesanan Tiket Event Berbasis Android Yunendar, Wakhid; Jeffry, Jeffry
Journal of System and Computer Engineering Vol 5 No 2 (2024): JSCE: Juli 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i2.2369

Abstract

Penelitian ini bertujuan untuk memanfaatkan data pengguna pada aplikasi pemesanan tiket event berbasis Android sebagai dasar dalam pengembangan sistem rekomendasi event. Sistem ini dirancang agar dapat memberikan saran event yang relevan berdasarkan preferensi pengguna sebelumnya. Metode penelitian yang digunakan adalah metode deskriptif kuantitatif dengan pendekatan prototyping dalam pengembangan perangkat lunak. Data diperoleh melalui observasi, wawancara, dan kuesioner terhadap pengguna aplikasi di Kota Makassar. Hasil penelitian menunjukkan bahwa sistem rekomendasi berbasis content-based filtering mampu menyesuaikan daftar event dengan minat pengguna, meningkatkan kenyamanan serta efisiensi dalam proses pencarian dan pemesanan tiket. Berdasarkan uji persepsi terhadap 21 responden, sebanyak 90% menyatakan fitur rekomendasi memudahkan mereka menemukan event yang relevan.
Sistem Deteksi Kekeruhan Air Berbasis Citra Digital Menggunakan Gaussian Filtering dan Thresholding jeffry, jeffry
Indonesian Journal of Intellectual Publication Vol. 5 No. 2 (2025): Maret 2025, IJI Publication
Publisher : Unit Publikasi Ilmiah Perkumpulan Intelektual Madani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51577/ijipublication.v5i2.696

Abstract

Penelitian ini bertujuan untuk mengidentifikasi tingkat kekeruhan air menggunakan metode pengolahan citra digital berbasis MATLAB. Sebanyak 10 sampel air dengan tingkat kekeruhan yang bervariasi dianalisis menggunakan dua pendekatan, yaitu pengukuran manual menggunakan TDS meter dan pengolahan citra digital melalui tahapan konversi RGB, Gaussian filtering, thresholding, serta analisis histogram nilai piksel. Hasil pengukuran menunjukkan pola hubungan berbanding terbalik antara nilai intensitas piksel citra dan tingkat kekeruhan air dalam satuan PPM. Misalnya, pada Sampel 1 dengan tingkat kekeruhan 52 PPM diperoleh nilai piksel sebesar 56,821, sedangkan pada Sampel 10 dengan kekeruhan tertinggi yaitu 83 PPM, nilai piksel turun menjadi 11,749. Secara umum, tren ini konsisten pada seluruh sampel, menunjukkan bahwa semakin tinggi tingkat kekeruhan air, semakin rendah nilai piksel yang dihasilkan. Temuan ini membuktikan bahwa pendekatan berbasis pengolahan citra digital dapat digunakan sebagai metode alternatif yang efisien dan praktis untuk mendeteksi tingkat kekeruhan air secara kuantitatif
Performance Analysis of a Multisensor IoT System for Water Quality Surveillance at PDAM Makassar Muhammad Syafaat; Jeffry Jeffry
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.4885

Abstract

IoT-Based Water Monitoring System with Case Study of Makassar City PDAM is a tool made to provide convenience to PDAM (Regional Drinking Water Company) employees, especially at Makassar City PDAM, to determine the pH value of water, TDS value and NTU level value in water reservoirs using a water pH sensor, TDS sensor and LDR sensor which will be displayed on a website application via an internet network in the form of a graph. If the pH value read on the water pH sensor is pH 6.5-8.5, it can be declared that the water is in proper condition, if the ppm value read to the TDS sensor is 0-300 ppm, the water is declared proper and if the ppm value read to the LDR sensor is 0-25 NTU, the water is declared proper. the parameter accuracy rate of the pH Sensor is 94.74%, the TDS Sensor is 93.70%, while the Water Turbidity sensor has an accuracy rate of 85.31% so that the overall accuracy rate of this consumable water monitoring system is 91.25%.
Spatio-Temporal Graph Neural Network Based on Nonlinear Time–Frequency Features for Mu-ERD Classification in Multi-Session EEG Motor Imagery Firman Aziz; Jeffry Jeffry; Syahrul Usman; Rahmat Fuadi Syam; Muhammad Nur Arafah; Nurul Fathanah Mustamin
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.8679

Abstract

Mu rhythm event-related desynchronization (ERD) is a key indicator of motor imagery activity based on EEG signals. However, accurate classification of ERD remains challenging due to the nonlinear nature of EEG signals and inter-session variability. This study proposes a motor imagery classification approach using a Spatio-Temporal Graph Neural Network (ST-GNN) model that leverages nonlinear time-frequency features extracted via Variational Mode Decomposition (VMD) and Synchrosqueezing Transform (SST). The dataset was collected from a single healthy subject across five separate sessions, each consisting of two conditions: relaxation and motor imagery. After preprocessing and segmentation, features were extracted and represented as spatio-temporal graphs to be processed by the ST-GNN. The model was evaluated using metrics such as accuracy, F1-score, AUC-ROC, and the Session Stability Index (SSI). The results show that the ST-GNN achieved an accuracy of 94.2%, F1-score of 94.1%, and AUC-ROC of 96.1%, along with high prediction stability across sessions. This performance outperformed baseline models including CNN, CSP+SVM, and STFT+MLP.These findings support the hypothesis that ERD is a distributed brain network phenomenon and demonstrate that the ST-GNN approach with VMD/SST-derived features is a promising strategy for developing adaptive and accurate BCI systems.
Sistem Pendukung Keputusan Penentuan Destinasi Objek Wisata Dengan Metode Simple Additive Weighting (SAW) Berbasis Web Jeffry jeffry; firman aziz; syahrul usman
Journal of System and Computer Engineering Vol 5 No 2 (2024): JSCE: Juli 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i2.1339

Abstract

One of the biggest regional proceeds of the North Toraja Regency comes from the utilization of tourist objects as recreational objects whether for the local communities or the overseas. However, the lack of information and the lack of systems technology in Toraja destination caused many tourists to visited a few of the many tourism objects available. This problem causes tourists to tend to visit only a fraction of the many tourism objects. Based on these problems, we need a system that helps provide information and determine tourist objects suitable for each tourist, and the tour is more varied. This study produces a decision support system for selecting tourism objects in North Toraja using the “Simple Additive Weighting” method based on a website in the goal of assisting tourists to determine tourist place
Penerapan Tesseract OCR untuk Validasi Pembayaran Otomatis dalam E-Commerce Annisa Salsabila Apriliya Wijaya; A Inayah Auliyah; Jeffry Jeffry; Firman Aziz; Syahrul Usman
Journal of System and Computer Engineering Vol 7 No 2 (2026): JSCE: April 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i2.2625

Abstract

The rapid expansion of e-commerce in Indonesia has resulted in a significant increase in digital transactions, necessitating expedited and precise payment verification. Administrators at the SweetJab hijab e-commerce platform must manually verify bank transfer receipts, a process that is time-consuming and susceptible to errors. This study utilises Optical Character Recognition (OCR) with the Tesseract engine as a supplementary approach for verifying transfer payments on the SweetJab website. The methodology encompasses image preprocessing (resizing to 200%, converting to greyscale, and enhancing contrast), employing Tesseract OCR with PSM 6 and an LSTM model for character recognition, and utilising regular expressions (regex) to extract structured transaction data. We employed Black Box Testing and Character Error Rate (CER) computations on 40 preliminary test samples and 40 post-implementation samples to assess the system. The initial test demonstrated an accuracy of 89.5%, which increased to 92.5% upon complete system integration. This study demonstrates that OCR is an effective method for extracting information from payment receipts, while maintaining security through a final manual verification by the administrator.
Co-Authors A Inayah Auliyah A Suyuti, Muh Zulfadli Abasa, Sustrin Adriani, Ika Reskiana Almuhajir Haris, Almuhajir Andi Aljabar Andi Taufiqurrahman Akbar Andri Dwi Utomo Anirwan Anirwan Annisa Salsabila Apriliya Wijaya Anwar Arafah, Muhammad Nur Ayu Asrhi, Nur Azminuddin I. S. Azis Batau, Radus Binti Mamluatul Karomah Buang, Misbahuddin Enal Wahyudi, Abdi Fadliana, Nurul Firman Aziz Ishak, Pertiwi Iskandar, Imran Ismail Ismail Ispanti Zaman Kahar Gani Kandakon, Elisabeth Tri Juliana Kurniyan Sari, Sri La Wungo, Supriyadi M Rezky Armansyah Marcel Marcel Mardewi Mardewi Mardewi, Mardewi Mon, Muhammad Donal Muhammad Syafaat Nasruddin Nasruddin Nipsa Asdiana Supak Nur Ayu Asrhi Nur Ayu Asrhi Nurdyansa Nursalim Nurul Ahyana Nurul Fathanah Mustamin Nyimas Artina Panggabean, Benny Leonard Enrico Putra Yuzi Bachmid, Fadel Muhammad Qamal Qamal Rahmat Fuadi Syam Rijal, Muhammad Rimalia, Watty Santoso, , Budy Sari, Sri Kurniyan Sasmita, Dhilan Sentoso, Antony Sukarno Abby Sumardi Sumardi Susi Handayani Syafaat, Muhammad Syahrul Usman Syam, Rahmat Fuadi Syam, Rahmat Fuady Tarisafitri, Nahla Velayaty, Ali Akbar Wahyudi, Andi Enal Wibowo. K, Trisno Wungo, Supriyadi La Yeti Kule Yunendar, Wakhid