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Sistem Monitoring Kualitas Udara Ruangan Berbasis Internet of Things Dengan Fitur Early Warning System Fadilah Adeliani Putri; Sufajar Butsianto; Ucok Darmanto Soer
Jurnal Impresi Indonesia Vol. 5 No. 9 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i9.8131

Abstract

Kualitas udara dalam ruangan dapat menurun akibat ventilasi yang kurang memadai, aktivitas rumah tangga, kelembapan, dan polutan dari lingkungan sekitar. Pemantauan konvensional berdasarkan persepsi penghuni belum mampu menyediakan informasi yang objektif, berkelanjutan, dan tepat waktu. Penelitian ini bertujuan merancang dan menerapkan sistem pemantauan kualitas udara dalam ruangan berbasis Internet of Things (IoT) yang dilengkapi Early Warning System (EWS). Sistem dikembangkan menggunakan metode prototipe dengan mengintegrasikan ESP32 DevKit V1, sensor MQ-135, sensor DHT11, layar OLED, passive buzzer, platform Blynk, dan basis data MySQL. Pengujian mencakup pembacaan sensor, tampilan lokal dan jarak jauh, pengiriman dan penyimpanan data, fungsi peringatan, serta koneksi ulang otomatis. Sistem berhasil mengukur suhu, kelembapan, dan indikator kualitas udara berbasis gas serta mengklasifikasikan kondisi menjadi Fresh Air (<25 ppm), Poor Air (25–<50 ppm), dan Danger (?50 ppm). Data ditampilkan pada OLED dan dasbor Blynk serta disimpan dalam MySQL setiap 30 detik. Pada kondisi Danger, sistem mengaktifkan buzzer dan mengirimkan notifikasi Blynk. Mekanisme perubahan status mencegah notifikasi berulang, sedangkan koneksi ulang otomatis mempertahankan keberlanjutan pemantauan. Prototipe berhasil mengintegrasikan pengindraan, pemrosesan, visualisasi, penyimpanan, dan peringatan dua saluran sebagai solusi pemantauan kualitas udara dalam ruangan secara waktu nyata.
Evaluating Informatics Engineering Learning Outcomes Using Weighted Rubrics to Compare Teacher and LLM Scores Nurhadi surojudin; Antika Zahrotul Kamalia; Sufajar Butsianto; Refania Meilani Firdos; Bagus Tri Ardiawan
Brilliance: Research of Artificial Intelligence Vol. 6 No. 4 (2026): Brilliance: Research of Artificial Intelligence, Article Research November 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i4.9858

Abstract

The increasing use of large language models (LLMs) in educational assessment highlights the need to examine scoring consistency between automated and teacher evaluations. This study analyzes assessment-score consistency and compares teacher and LLM evaluations using a weighted-rubric approach. A descriptive-analytical method was applied to the HARMOGEN-R dataset. First, 32,805 evaluation records were examined to assess consistency between recorded total scores and aggregated criterion scores. Second, 345 paired teacher–LLM responses were analyzed across five criteria using equal weights of 0.20. Evaluation metrics included mean absolute error (MAE), root mean squared error (RMSE), mean score difference, Pearson correlation, and Spearman rank correlation. The results showed that 32,618 evaluations (99.43%) had matching recorded totals and summed criterion scores. In the paired analysis, the mean teacher score was 52.583, compared with 49.996 for LLM scores. The MAE was 4.168, the RMSE was 9.328, and the mean difference (LLM minus teacher) was ?2.587. Pearson and Spearman correlations were 0.9781 and 0.9863, respectively (both p < 0.001). Despite these strong positive associations, score differences indicate that correlation does not necessarily establish agreement or interchangeability. The weighted-rubric approach provides a transparent method for score aggregation and identifying assessment discrepancies. However, equal weights were used as a baseline, and the criteria were not validated against official Course Learning Outcomes (CLOs) or Program Learning Outcomes (PLOs). Future research should investigate alternative weighting schemes, validate learning-outcome mapping, and assess score agreement across broader educational contexts.
Model Aplikasi Human Resource Management Sistem (HRIS) Dengan Framework UniGui Sufajar Butsianto; Candra Naya
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.507

Abstract

This research aims to build a Human Resource Information System of PT. XYZ will manage existing human resources, starting from the process of managing employee data, employee attendance, employee leave, employee permits, employee overtime and employee training history. This research uses a qualitative approach with an exploratory case study methodology by focusing research on the design of the Human Resources Information System (HRIS). The system development method used is waterfall. The analysis and design tools used are Unified Modelling Language (UML) using Usecase Diagrams and Class Diagrams. The programming language used is Delphi with the unuGUI framework and databases using SQL Server. This research successfully designed and built a Human Resource System (HRIS) Application and has been tested using Blackbox testing. The benefits of this application can make it easier for companies to manage employee data data, employee attendance, employee leave, employee permits, employee overtime and employee training history, and make it easier for companies to adapt to remote working and Work From Anyware (WFA) culture
Co-Authors . Ermanto Abdul Halim Anshor Agung Nugroho Agus Suwarno Aguswin, Ahmad Ahmad Turmudi Zy Amali, Amali Ananda, Angga Thifal Ananto Tri Sasongko Andre Ardiansyah Andriani Andriani Andriani Andriani Anggi Muhammad Rifai Anisah Purnamasari Antika Zahrotul Kamalia Aprila Hardi, Resty Arief Nur Hidayat Arif Siswandi ARIF SUSILO Arif Tri Widiyatmoko Aris Iskianto Aris Iskianto2 Arwan Sulaeman, Asep Asep Muhidin Asep Muhidin Bagus Tri Ardiawan Budi Rahardjo, Sugeng Candra Naya Dewi Sekar Arum Dian Riki Pangestu Dicky Winanda Santoso Donny Maulana Dwi Indra Prasetya Edi Tri Triwibowo Edi Tri Wibowo Edora Edora Edy Widodo Edy Widodo Eka Nur Arifin Eko Putra, Fibi Elkin Rilvani Endah Yaodah Kodratillah Ermanto Ermanto Fadilah Adeliani Putri Fathurrahman, Humam Fauzi Ahmad Muda febriyanti febriyanti Fibi Eko Putra Herdiyan, Serly Humam Fathurrahman Ikhsan Romli Indradewa, Rhian Irfan, Yusuf Iwan Mulyana Kodratillah, Endah Yaodah M Ryan Bagus Valentin* Makmun Effendi, M. Mamat Casmat Maryani Manik Maulana, Futuh Muhamad Fatchan Muhammad Faisal Muhammad Fatchan Muhammad Fikri Fauzan muhidin, asep Muhtajuddin Danny Naya, Candra Nindi Tya Mayangwulan Nurhadi Surojudin Nurhadi Surojudin Nurhali Saepudin Nurhali Saepudin Oktavianti, Risma Nadia Otib Subagja Pratama, Suria Puput Riyanti Purwanto Purwanto Putra, Irga Ramadhan Putri Riandani, Andini Rafli Maulana Raharjo, sugeng budi Ramadhan, Aldi Refania Meilani Firdos Retno Fitri Astuti Rifa'i, Anggi Muhammad Rizal Ainun Yaqin Romli S. Sunge, Aswan Selviana, Vina Setyaningrum, Retno Purwani Setyaningrum Setyawan, Wisnu Sifa Fauziah Siswandi , Arif Siswandi, Arif Siti Rahayu Sulaeman, Asep Arwan Sunge , Aswan S. Supriyanto, Asep Suratman Suratman Suryadi Syahlan Sugiarto Tedi, Nanang Tri Ngudi Wiyatno Triwibowo, Edi Turmud Zy, Ahmad Ucok Darmanto Soer Wachid Hasyim, Wachid Wiyanto Wiyanto Wiyanto Yasmine Aprilia Fatimah Yolanda Alviana Zehan Prahardika