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Sistem Pemantauan Ruang Kelas berbasis Internet of Things (IoT) untuk Proses Pendidikan yang Efektif Latief, Maulana Fakih; Irmansyah, Isep; Rosyidi, Lukman
Digital Transformation Technology Vol. 4 No. 2 (2024): Periode September 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i2.5485

Kemajuan teknologi Internet of Things (IoT) memberikan peluang besar untuk meningkatkan efisiensi dalam berbagai bidang, termasuk pengelolaan fasilitas pendidikan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pemantuan ruang kelas berbasis IoT guna memantau kondisi ruang kelas secara realtime. Sistem ini menggunakan berbagai sensor untuk mengukur parameter lingkungan, seperti suhu, kelembapan, pencahayaan, dan tingkat kehadiran. Data yang dikumpulkan dikirimkan ke server melalui jaringan internet untuk diolah dan ditampilkan dalam antarmuka berbasis web atau aplikasi seluler. Hasil pengujian menunjukkan bahwa sistem ini mampu memberikan data secara akurat dan real-time, serta mengirimkan notifikasi jika terdapat kondisi yang melebihi batas yang telah ditentukan, seperti suhu yang terlalu tinggi atau rendah. Sistem ini juga dapat mengoptimalkan penggunaan energi melalui pengendalian otomatis perangkat listrik, seperti pendingin udara atau lampu. Dengan demikian, penelitian ini menawarkan solusi yang inovatif untuk meningkatkan efisiensi pengelolaan ruang kelas, mendukung penghematan energi, serta menciptakan lingkungan belajar yang lebih nyaman dan produktif.

Perancangan dan Implementasi Sistem Reservasi Klinik Berbasis Web dengan Framework React JS: Studi Kasus Klinik Pratama Agha Depok Ammar Farras Hudzaifah; Maulana Fakih Latief
DBESTI: Journal of Digital Business and Technology Innovation Vol 3 No 1 (2026): Mei, 2026
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/dbesti.v3i1.2246

Transformasi digital dalam bidang kesehatan membuka peluang untuk meningkatkan efisiensi pelayanan, khususnya dalam proses reservasi pasien. Penelitian ini bertujuan mengembangkan sistem reservasi konsultasi dokter berbasis website menggunakan framework React JS pada Klinik Pratama Agha Depok. Metode penelitian menggunakan pendekatan Software Development Life Cycle (SDLC) dengan tahapan analisis kebutuhan, perancangan sistem, implementasi, serta pengujian. Data dikumpulkan melalui observasi, wawancara dengan pihak klinik, dan dokumentasi. Pengujian sistem dilakukan dengan Black Box Testing untuk menguji fungsi sistem dan User Acceptance Testing (UAT) yang melibatkan lima responden pengguna sistem. Hasil pengujian menunjukkan bahwa seluruh fungsi sistem berjalan sesuai harapan dan memperoleh rata-rata skor UAT sebesar 96%, yang mengindikasikan tingkat kepuasan pengguna sangat tinggi. Sistem yang dibangun memungkinkan pasien melakukan pendaftaran secara mandiri, memilih jadwal konsultasi, serta menerima notifikasi otomatis. Kesimpulan dari penelitian ini adalah bahwa implementasi sistem reservasi online dapat meningkatkan efisiensi pelayanan dan mengurangi antrean fisik di klinik. Rekomendasi dari penelitian ini adalah pengembangan fitur notifikasi berbasis WhatsApp untuk meningkatkan keterhubungan pasien dengan sistem.

Sistem Monitoring Cuaca dan Alarm Adaptif Berbasis Internet of Things dengan Memanfaatkan JSON Web API Maulana Fakih Latief; Henry Saptono; Muhammad Amir; Rizky Hilmiawan Anggoro; Nuraini Nuraini
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.4040

Unpredictable changes in weather conditions have increased the need for real-time weather monitoring systems. This study aims to implement an Internet of Things (IoT)-based adaptive weather monitoring and alarm system by utilizing JSON Web API as a weather data source. This system is built using NodeMCU ESP8266 as the main microcontroller connected to the OpenWeatherMap API service via an internet network. The weather data obtained includes temperature, humidity, and weather conditions which are then displayed on the MAX7219 Matrix monitoring and display website in real-time. In addition, this system is equipped with an adaptive alarm feature that can be controlled through the website so that users can set alarms according to their needs. The research method used is an experimental method with a descriptive approach through the stages of system design, hardware and software implementation, and system testing. Based on the test results, the system successfully displays weather information in real-time and runs automatic alarms according to user settings. With this system, users can obtain weather information and time reminders more effectively, practically, and efficiently.

Analisis Limitasi Performa Penilaian Esai Otomatis pada Aplikasi ESAO Berdasarkan Metrik BLEU dan ROUGE Akhmam Fahmi; Nuraini Nuraini; Maulana Fakih Latief
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.1154

The development of GenAI has encouraged the use of automated essay scoring technology through various platforms, one of which is the ESAO (Essay Analytic Online) application. Although this LLM-based system is capable of automatically generating assessment feedback narratives, standardizing evaluation methods to measure the reliability of these texts still faces significant challenges. This study aims to test the suitability of the Bilingual Evaluation Understudy (BLEU) and Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics as instruments to measure the extratextual performance of the ESAO application. The research method was carried out by comparing feedback texts from ESAO with authentic lecturer assessment drafts on three different characteristics of the exam material: dataset condition analysis, descriptive statistics, and correlation and regression. The test results showed an average value of the BLEU metric of 0.0522 and ROUGE of 0.1255. This study revealed that low scores do not represent a functional failure of the ESAO application, but rather indicate fundamental limitations and shortcomings in using rigid lexical metrics (word-based metrics) in assessing dynamic generative texts. The BLEU and ROUGE metrics rely heavily on rigid n-gram overlap, thus failing to capture the semantic similarity, academic reasoning context, and linguistic variation generated by ESAO. This study concludes that traditional evaluation metrics such as BLEU and ROUGE are inaccurate and incompatible as a single benchmark for Generative AI performance in the context of educational assessment, necessitating a transition to semantic-based metrics in the future.

Pengembangan Aplikasi Web Portofolio Kegiatan Pengabdian Masyarakat pada Perguruan Tinggi Menggunakan Metode Extreme Programming Lukman Rosyidi; Maulana Fakih Latief; Siti Aisah; Hany Hidianti; Noviana Nur Shanti
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 3 (2026): Agustus : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i3.4505

The documentation process for community service activities is often not centralized and not well-published, resulting in activity information not being systematically organized and difficult to access by both internal parties and the wider community. This study developed a web-based community service activity portfolio application with a case study at Nurul Fikri College of Technology. The system development process applied the Extreme Programming (XP) method, consisting of planning, design, coding, and testing stages. The application was built using the Laravel framework with a Model-View-Controller (MVC) approach and supported by MySQL as the database management system. The results of the study indicate that the community service activity portfolio web application was successfully developed and is able to assist the documentation, management, and publication of activities in a more structured manner. The application provides various features, such as managing activity portfolios, services, partners, expertise, submissions, activity documentation, and managing other supporting data. Based on the results of testing using the Black Box User Acceptance Testing (UAT) method, all features in the system successfully implemented according to their expected functions and user requirements.

Estimasi Serapan CO2 Melalui Selisih Konsentrasi di Udara dan Tanah: Studi Kasus Pertanian Urban di Depok Maulana Fakih Latief; Muhammad Irfan Hakim; Rusmanto Rusmanto; Rika Rahma
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 5 No. 2: JULI 2025
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v5i2.1163

Perubahan iklim akibat emisi karbon dioksida (CO2) menjadi isu global. Pertanian urban berpotensi menyerap CO2 melalui fotosintesis, namun pemantauannya masih terbatas. Penelitian ini mengembangkan sistem pemantauan CO2 berbasis Internet of Things (IoT) menggunakan sensor MQ-135 dan mikrokontroler ESP32. Pengukuran dilakukan secara tidak langsung melalui selisih konsentrasi CO2 antara udara dan tanah. Sistem juga dilengkapi sensor DHT22 dan YL-69 untuk memantau suhu, kelembapan udara, dan kelembapan tanah. Penelitian ini menggunakan metode eksperimen kuantitatif dengan implementasi sistem di lahan pertanian urban Depok selama tiga hari. Data dikumpulkan setiap jam pada pagi, siang, dan sore, lalu dikirim otomatis ke platform pemantauan.com. Hasil menunjukkan penurunan selisih CO2 pada sore hari, mengindikasikan peningkatan fotosintesis. Sistem ini efektif untuk pemantauan karbon berkelanjutan dan potensial untuk skema kredit karbon.

Multisensor IoT and Deep Learning Integration for Estimating Grapevine Vigor Index under Tropical Conditions Maulana Fakih Latief; Henry Saptono; Sapto Waluyo; Zahra Aulia Rahmani
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 6 No. 2: JULI 2026
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v6i2.1629

Grapevine cultivation under tropical conditions is highly susceptible to abiotic stress, making reliable assessment of plant vigor important for precision management. This study presents an integrated multisensor Artificial Intelligence of Things (AIoT) framework combined with deep learning for estimating a relative grapevine vigor index using RGB canopy imagery. Environmental sensors provide contextual measurements of microclimatic and soil conditions, while image data are processed using a convolutional neural network–based model to estimate vigor levels derived from fractional green canopy cover. Approximately 1,600 RGB canopy images and 4,320 environmental telemetry records were used to train and evaluate the model. The results demonstrate that the proposed approach achieved a mean absolute error (MAE) of 8.73, a root mean square error (RMSE) of 11.74, and a coefficient of determination (R²) of 0.57 in predicting the relative vigor index. The integration of environmental sensing and image-based analysis provides an initial contribution to tropical grapevine vigor monitoring, although the model remains limited by single-site data and moderate predictive performance. Overall, the proposed framework provides a practical foundation for image-based vigor estimation and integrated data acquisition in tropical precision viticulture.

Pengembangan Aplikasi Web Portofolio Kegiatan Pengabdian Masyarakat pada Perguruan Tinggi Menggunakan Metode Extreme Programming Lukman Rosyidi; Maulana Fakih Latief; Siti Aisah; Hany Hidianti; Noviana Nur Shanti
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 3 (2026): Agustus : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i3.4505

The documentation process for community service activities is often not centralized and not well-published, resulting in activity information not being systematically organized and difficult to access by both internal parties and the wider community. This study developed a web-based community service activity portfolio application with a case study at Nurul Fikri College of Technology. The system development process applied the Extreme Programming (XP) method, consisting of planning, design, coding, and testing stages. The application was built using the Laravel framework with a Model-View-Controller (MVC) approach and supported by MySQL as the database management system. The results of the study indicate that the community service activity portfolio web application was successfully developed and is able to assist the documentation, management, and publication of activities in a more structured manner. The application provides various features, such as managing activity portfolios, services, partners, expertise, submissions, activity documentation, and managing other supporting data. Based on the results of testing using the Black Box User Acceptance Testing (UAT) method, all features in the system successfully implemented according to their expected functions and user requirements.

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