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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Tematik : Jurnal Teknologi Informasi Komunikasi International Journal of Research in Vocational Studies (IJRVOCAS) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
Ismael
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Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Design Smart Classroom Based IoT at SMP Ali Bin Abi Tholib Ismael; Siregar, Arfanda Anugrah; Sari, Dewi Comala
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 3 No. 4 (2024): IJRVOCAS - Special Issues - International Conference on Science, Technology and
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v3i4.35

Abstract

A classroom is a room that functions as a place for teaching and learning activities. In the classroom there are also various tools to support teaching and learning activities such as tables, whiteboards and other electronic equipment. The importance of using technology in teaching and learning classrooms is because current needs are increasing with the times.Smart Classroom is a technology that makes the class have an automation system with very sophisticated performance. This system utilizes technology that can control electronic equipment in the classroom automatically. The high level of negligence of electronic device users in turning off electronic items that are often on continuously, such as lights, air conditioners, projectors, results in wastage of electrical energy. To overcome this problem, researchers built an automation system in classrooms using the IoT system. The research method used is an experimental model. This automatic system is programmed by the Arduino application by creating a security system using Radio Frequency Identification (RFID) as the radio frequency data carrier that will be received by the receiver. The results of this research are a smart classroom prototype using RFID that can operate well. The RFID sensor's ability to detect the ID between the Card and Reader is a maximum distance of 1cm. The Reader's ability to detect ID cards takes 2 to 3 seconds from when the ID card is attached to the Reader and this tool will work when the user attaches the RFID to the reader so that all connected equipment will automatically turn ON such as lights, AC and projectors.
Implementasi Model Hybrid CNN-LSTM untuk Optimasi Pengalaman Pengguna Perangkat Seluler Yuhefizar; Ismael; Arif Rizki Marsa; Dedi Mardianto; Ronal Watrianthos
TEMATIK Vol 11 No 2 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i2.2125

Abstract

This research employs a convolutional neural network (CNN) with long short-term memory (LSTM) to analyse and predict the behaviour of users of mobile devices, utilising a dataset comprising 700 users. The model combines the strengths of convolutional neural networks (CNNs) in spatial feature extraction and long short-term memory (LSTM) networks in temporal sequential analysis. The results demonstrate that the model exhibits excellent performance, with 92% accuracy, 89% precision, 91% recall, and 90% F1 score. The temporal pattern analysis revealed significant variation between the user classes, with the intensive class showing consistently high usage, averaging 300 minutes per day. The key factors influencing the user experience were identified as app usage time (25%), screen on time (22%), and battery consumption (18%). The segmentation of users resulted in the identification of five distinct groups, with Segment 2 exhibiting the highest usage level (6.2 hours per day) and Segment 5 displaying the lowest (1.3 hours per day). The strong correlation (0.89) between app usage time and screen time serves to confirm the importance of optimising the performance of apps. These findings provide a basis for more effective service personalisation and more targeted app development, thereby paving the way for the optimisation of the user experience on mobile devices.
Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction Raja Ayu Mahessya; Dian Eka Putra; Rostam Ahmad Efendi; Rayendra; Rozi Meri; Riyan Ikhbal Salam; Dedi Mardianto; Ikhsan; Ismael; Arif Rizki Marsa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6606

Abstract

Post-operative kyphosis represents a significant complication following pediatric spinal corrective surgery, necessitating sophisticated prediction methods to identify high-risk patients. This study developed and evaluated machine learning models for kyphosis prediction using a dataset of 81 pediatric patients by comparing the logistic regression and decision tree approaches. Despite achieving a higher overall accuracy (82%), the logistic regression model failed to identify any kyphosis cases, rendering it clinically ineffective. Conversely, the decision tree model demonstrated superior clinical utility by successfully identifying 33% of kyphosis cases while maintaining 71% accuracy. Feature importance analysis established starting vertebral position as the dominant predictor (importance=0.554), followed by patient age (0.416), with vertebrae count contributing minimally (0.030). The decision tree identified critical thresholds for risk stratification: operations beginning at or above T8-T9, particularly in children aged 5-9 years, carried a substantially elevated kyphosis risk. Our methodological approach emphasizes sensitivity over conventional accuracy metrics, recognizing that missing high-risk patients have greater clinical consequences than unnecessary monitoring. This study demonstrates the capacity of decision tree models to extract clinically meaningful patterns from small, imbalanced surgical datasets that elude conventional statistical approaches.
IMPLEMENTASI INCREMENTAL METHOD PADA RANCANG BANGUN WEBSITE PENERBIT PNP PRESS Ikhbal Salam, Riyan; Ikhsan; Rayendra; Ismael; Eka Putra, Dian; Ramadhani
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 13 No 1 (2025): TEKNOIF APRIL 2025
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2025.V13.1.1-7

Abstract

PNP Press publisher is one of the publishers in Indonesia which is under the auspices of the Padang State Polytechnic State University. This publisher publishes two publishing models, namely magazines and books. The types of books published at PNP Press are scientific books, texts, and references. Meanwhile, the types of articles published in magazines are popular articles and articles from several columns. With the increasing demand for book and magazine publications at this publisher, a system is needed that can manage the publication process effectively and efficiently. This research aims to design and implement a website that can facilitate the publication and distribution process of magazines and books at PNP Press using the Incremental method. This method was chosen because it can accommodate various needs during the system development process. Using the Incremental Method in building publisher websites has proven capable of producing PNP Press publisher websites that suit user needs and ensure the system can be implemented effectively, namely in the form of books published using the open monograph press (OMP) and magazines using the open journal system (OJS).
Co-Authors Arif Rizki Marsa Dedi Mardianto Dian Eka Putra Eka Putra, Dian Ikhbal Salam, Riyan Ikhsan Raja Ayu Mahessya Ramadhani Rayendra Ronal Watrianthos Rostam Ahmad Efendi Rozi Meri Sari, Dewi Comala Siregar, Arfanda Anugrah Yuhefizar Yuhefizar