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Implementasi dan Evaluasi Kinerja Sistem IoT Multi-Sensor Berbasis ESP32 untuk Pemantauan dan Peringatan Dini Lingkungan secara Real-Time Arif Setia Sandi Ariyanto; Deny Nugroho Triwibowo; Imam Ahmad Ashari; Rito Cipta Sigitta Haryono
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9861

Abstract

Real-time environmental monitoring has become increasingly important due to growing urban and industrial activities that affect air quality, noise levels, and physical environmental stability. However, many existing monitoring systems remain relatively expensive, lack portability, and are limited to passive monitoring functions without clear performance evaluation. This study aims to implement and evaluate the performance of an Internet of Things (IoT)-based multi-sensor environmental monitoring system integrated with a mobile application and real-time early warning features. The system is developed using an ESP32 microcontroller connected to DHT22, MQ135, SW-420, and KY-037 sensors to monitor temperature, humidity, air quality, vibration, and noise levels. Sensor data are transmitted to a server via a RESTful API, stored in a MySQL database, and visualized in real time through a Flutter-based mobile application. The research adopts a Research and Development (R&D) approach, encompassing requirement analysis, system design, implementation, integration, and functional testing. The experimental results indicate that the system can transmit multi-sensor data reliably with low response time, present environmental information in real time, and consistently deliver early warning notifications when environmental parameters exceed the defined threshold values. This study contributes by providing a practical and replicable performance evaluation of an IoT-based multi-sensor system suitable for small-scale environmental monitoring.
Implementasi Teknologi Cerdas Berbasis IoT dan Telegram untuk Monitoring Kesehatan Jantung Pangesti, Lintang Desy; Sandi A , Arif Setia; Ardianto, Rian
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp332-339

Abstract

The human heart acts as a vital organ that pumps blood throughout the body, and heart disease is the leading cause of death globally, including in Indonesia. To address this issue, this research proposes an Internet of Things (IoT)-based health monitoring system that can measure heart rate, oxygen saturation, and body temperature using MAX30100 and LM35 sensors. The system is equipped with real-time notification via Telegram and data display on an OLED screen. The method used is prototyping, with testing of sensor accuracy compared to conventional measuring instruments. The test results show good accuracy in BPM and SpO₂ measurements with an error of 5.78% and 3.6%, respectively, compared to the oximeter. However, body temperature measurement using the LM35 sensor showed an average error of 7.78%, due to the sensitivity of the sensor to ambient temperature.
Penerapan Algoritma DBSCAN dalam Mengidentifikasi Risiko Stroke Istiqomah, Hani; Khoirun Nisa; Arif Setia Sandi A.
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp340-349

Abstract

Stroke is a serious disease that can cause permanent disability and death. This study applies the DBSCAN algorithm to cluster Stroke risk using a public Kaggle dataset (n = 5,110), which contains demographic and clinical attributes such as age, gender, hypertension, heart disease, body mass index (BMI), glucose levels, and smoking status. Preprocessing steps included median imputation for BMI, categorical encoding, Z-score standardization, and PCA for visualization. Parameter selection was conducted using the k-distance plot and Silhouette evaluation, resulting in ε = 2.5 and min_samples = 3 with a Silhouette Score of 0.2158. The findings indicate that DBSCAN has potential to support Stroke prevention strategies, although further parameter tuning and feature optimization are required to improve clustering quality.
Pendampingan Ibu Balita Melalui Model Edukasi Gizi Berbasis Aplikasi Digital untuk Pencegahan Stunting di Kabupaten Brebes Sandi A., Arif Setia; Deny Nugroho Triwibowo; Azhar Bashir; Sony Kartika Wibisono; Fitri Ayuningtyas; Iis Setiawan Mangku Negara
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 2 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol5No2.pp266-271

Abstract

Stunting is a chronic nutritional problem requiring sustainable intervention, particularly in priority areas such as Brebes Regency. Conventional nutritional interventions often lack sustainability in monitoring child growth and development. This program aims to evaluate the effectiveness of the Digital Application-Based Nutrition Education Model (Si Penting)—a collaboration between Universitas Harapan Bangsa and Universitas Muhammadiyah Brebes—in strengthening caregiver capacity. The activity was conducted in Bantarkawung Sub-district, involving 45 caregivers of toddlers aged 6–24 months. A one-group pre-test post-test design was employed. The intervention consisted of face-to-face nutrition education followed by training and mentoring on the Si Penting Digital Application for two weeks. This program emphasized intensive mentoring for caregivers to operate the application for independent monitoring. Results showed a significant increase in participants' knowledge and attitudes (p<0.05), followed by proactive behavioral changes in monitoring child growth. The intervention model was successful, as shown by a 95.6% adoption rate for the application. It is concluded that the Digital Application-Based Nutrition Education Model effectively helped caregivers improve their ability to monitor nutrition on their own and is suggested to be used alongside Posyandu services to create lasting benefits in lowering stunting risks.
Co-Authors Anggit Wirasto Apriliyanto, Erwin Ardianto, Rian Arkananta, Edgina Rangga Arrofie Darmawan Ashari, Imam Ashari, Imam Ahmad Ashari Asro Nasiri Asro Nasiri Aulia Zilmi Kafah, Aulia Zilmi Kafah Azhar Bashir Bagus Bambang Sumantri, Raden Bambang Soedijono Bambang Soedijono Bambang Sumantri, R Bagus Cipta Sigitta Haryono, Rito Deny Nugroho Triwibowo Deny Nugroho Triwibowo Diannike Putri, Diannike Putri Dung, Le Hoang E. Ida Hidayanti Edgina Rangga Arkananta, Edgina Rangga Arkananta Esa Aditya Kurniawan, Esa Aditya Kurniawan Faizal Rizky Yuttama Fenika Bunga Prawida Suwanto Feriyanto, Yanuar Fitri Ayuningtyas Grace Maria Fitricia Panggabean Husna, Aqmal Miftahul Iis Setiawan Mangku Negara Iis Setiawan Mangkunegara Imam Ahmad Ashari Imam Ahmad Ashari, Imam Ahmad Indriyanto, Jatmiko Irfan Arfianto Istiqomah, Hani Jayusman, Hadi Khairil Anwar KHOIRUN NISA Khoirun Nisa Kristanto, Barlian Mangku Negara, Iis Setiawan Mangku Negara, Iis Setiawan Mangkunegara, Iis Setiawan Muryanto, Muhammad Negara, Iis Setiawan Mangku Nugroho Triwibowo, Deny Nugroho, Agus Susilo Nur Arifin, Nur Arifin Nurrizki, Kiki Alfaini Pangesti, Lintang Desy Pradestya Bima Arweina Prayoga, Estu Purwono Purwono, Purwono Purwono, Purwono Putri, Diannike Ramadya Wahyu Dwinanto Retno Agus Setiawan Rian Ardianto Ririn Damayanti Ririn Uke Saraswati Rito Cipta Sigitta Haryono riwibowo, Deny Nugroho Sandy Ferianda, Sandy Sarmin Sarmin Siti Shinta Yulistiyani, Siti Shinta Yulistiyani Slamet Slamet . Slamet Slamet Slamet Slamet Soedjatmoko Soedjatmoko Sony Kartika Wibisono Sony Sonjaya Sri Winda Hardiyanti Damanik susilo nugroho, agus Trivilia, Indah Triwibowo, Deny Nugroho Widadi, Budi Winda Neri Sari Yanuar Feriyanto Yayu Sri Rahayu, Yayu Sri Yusuf Fadlila Rahman