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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Inspiration Journal of Geoscience, Engineering, Environment, and Technology Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal INFOTEL TANJAK : Jurnal Pengabdian Kepada Masyarakat
Eko Prayitno
Politeknik Negeri Bengkalis
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science Physics Other

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An implentation of IoT for environmental monitoring and its analysis using k-NN algorithm Eko Prayitno; Nurul Fahmi; M. Udin Harun Al Rasyid; Amang Sudarsono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 6: December 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i6.15724

Abstract

Environmental monitoring is a process for observing around with various conditions. Recently, internet of things (IoT) and wireless sensor network (WSN) technologies support to solve these problems. In this paper, we implemented a system to monitor environmental conditions using IoT and WSN technology. The data measure is temperature, humidity, carbon monoxide (CO) and carbon dioxide (CO2) sensors. All sensor data will be sent and stored to the cloud through the internet in real-time. We provide applications for monitoring website and mobile phone-based environmental conditions, so users can access wherever and whenever. Furthermore, we also confirm the evaluation of analyst data that usedk-NN method is better than other methods with an accuracy rate of 99.0657%.
SISTEM PEMANTAUAN KONSENTRASI CO KEBAKARAN HUTAN RIAU MENGGUNAKAN TEKNOLOGI WIRELESS SENSOR NETWORK (WSN) DAN INTERNET OF THINGS (IOT) Eko Prayitno; Desi Amirullah
Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v4i2.71

Abstract

The purpose of this research is how to make an air condition monitoring system by considering the concentration value of carbon monoxide in Riau Province. The technology used to support monitoring system of carbon monoxide concentration, using Wireless Sensor Network Technology (WSN) and Internet of Things (IoT). One of the WSN concepts to be used is a combination of several sensors, the only sensors used to detect the level of carbonmonoxide concentration include: carbon monoxide, temperature and humidity sensors. Air condition data derived from the sensor in the form of concentration value of carbon monoxide, temperature and humidity of air sent to server connected to network using IoT technology. Based on the test results it can be concluded that the air condition monitoring system using WSN and IoT technology can be applied in realtime, this can be proven with the data shown in the monitoring tool. the detection of a fire source using a sensor can be done by using a distance between a smoke source (hotspot) and a device 90cm. From the observation result there is difference between sensing data without smoke and using smoke, such as temperature has 60C difference, humidity 20 rh and carbon monoxide about 17ppm
Perbaikan Mekanisme Sleep Scheduling Secara Dinamis Untuk Jaringan Sensor Nirkabel Berbasis ZigBee Eko Prayitno; Waskitho Wibisono
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol 6, No 1 (2016): Jurnal Inspiration Volume 6 Issue 1
Publisher : STMIK AKBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v6i1.90

Abstract

Penelitian ini mengusulkan perbaikan mekanisme penjadwalan tidur untuk mengurangi konsumsi daya pada JSN, dimana penghematan energi dilakukan dengan cara scheduling yang dinamis menggunakan kontrol waktu yang otonom, sehingga dapat melakukan powering down pada node selama proses menganggur (idle). Penelitian ini menyajikan implementasi secara riil dari node sensor nirkabel berdasarkan sistem arsitektur baru, digunakan untuk mengevaluasi pendekatan yang diusulkan melalui pengukuran konsumsi daya, dan menunjukkan bagaimana mekanisme baru secara adaptif memungkinkan melakukan penghematan energi jika dibandingkan dengan mekanisme NSF. Dari segi keaukaratan deteksi kejadian (event) True Positive untuk mendeteksi gas, mekanisme yang diusulkan memeberikan hasil yang lebih baik jika dibandingkan dengan mekanisme periodic sleep scheduling, yaitu sebesar 87,5%.
Web of Thing Application for Monitoring Precision Agriculture Using Wireless Sensor Network Nurul Fahmi; Eko Prayitno; Siti Fitriani
JURNAL INFOTEL Vol 11 No 1 (2019): February 2019
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v11i1.421

Abstract

Wireless Sensor Network (WSN) is a technology which can help humans solve problems in daily life for monitoring the environment. This can be done to help farmers in monitoring and making decisions for watering plants. In this study, temperature, humidity and soil moisture sensors were used to help farmers monitor web-based precision agriculture, and the system which be built could make a decision to automatically water plants based on soil conditions. The results of measuring precision agriculture from the sensor node will be sent to the gateway using Zigbee 802.15.4. The data will be stored in the MySQL database provided by the gateway. Then it will be synchronized to the cloud using IoT technology, so users can access it in real time by using web-based application. From the system which is developed, it really helps farmers to complete their work and make innovation in the digital era.
Optimization of Machine Learning Algorithms Through Outlier Data Separation for Predicting Concrete Compressive Strength Ananda, Faisal; Saputra, Hendra; Fahmi, Nurul; Prayitno, Eko; Shapie, Sinatu Sadiah; Bin Ikhwat, Mohamad Azwan; Nordin, Mohd Nur Azmi; Zain, Andicha; Binti Mohd. Nasir, Fadhillah
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 02 (2025): JGEET Vol 10 No 02 : June (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.02.21896

Abstract

This study investigates the comparative performance of ten machine learning models—Linear Regression, SVM, Neural Network, Decision Tree, Random Forest, Gradient Boosting, AdaBoost, XGBoost, LightGBM, and CatBoost—in predicting concrete compressive strength. The research emphasizes practical applications in construction, where accurate predictions can improve material design and structural reliability. Through detailed evaluation using MAE, RMSE, and R² metrics, CatBoost and Linear Regression emerged as top-performing models. A rigorous hyperparameter tuning process, employing grid search, significantly enhanced models like SVM and Neural Network, increasing their R² by over 80%. However, tuning occasionally led to reduced performance due to overfitting or unsuitable parameter selection. Outlier analysis using the Z-score method revealed nuanced effects across models: while SVM and Decision Tree benefited from outlier removal, models like Neural Network and CatBoost experienced performance degradation, indicating their reliance on diverse data patterns. These findings underscore the importance of tailored tuning and outlier handling strategies. Future work will incorporate advanced optimization techniques (e.g., Bayesian optimization) and robust cross-validation to further improve model generalization and stability.
Pembuatan Meja Belajar Sekolah Menengah Pertama Mutiara Qur’an Boarding School Nurul Fahmi; Eko Prayitno; Syaari; Ahmad Yani; Ananda, Faisal
TANJAK : Jurnal Pengabdian Kepada Masyarakat Vol 6 No 2 (2025): TANJAK : Jurnal Pengabdian Kepada Masyarakat
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/fxwvdd76

Abstract

Pengabdian masyarakat merupakan bagian penting di dalam tri dharma perguruan tinggi, oleh karena itu diperlukan komunikasi yang luas dengan berbagai pihak dalam mewujudkan kegiatan ini salah satunya Yayasan Mutiara Quran Boarding School (MQBS). Salah satu bentuk kegiatan yang telah dijalankan yaitu dengan adanya kegiatan pengadaan meja belajar siswa yang akan membantu siswa dalam proses pembelajaran. Berdasarkan kondisi ini, maka telah dilaksanakan proses pembuatan meja siswa sesuai dengan keinginan mitra. Hal ini juga bentuk kegiatan yang akan memberikan dampak positif bagi kedua belah pihak. Sesuai degan keadaan di lapangan juga, kegiatan ini bisa menjadi kegiatan rutin yang dapat terus memberikan dampak bagi ke dua institusi.
Co-Authors Ahmad Yani Amang Sudarsono, Amang Bin Ikhwat, Mohamad Azwan Binti Mohd. Nasir, Fadhillah Desi Amirullah, Desi Faisal Ananda Hendra Saputra M Udin Harun Al Rasyid, M Udin Harun Nordin, Mohd Nur Azmi Nurul Fahmi Nurul Fahmi Shapie, Sinatu Sadiah Siti Fitriani Syaari Waskitho Wibisono Zain, Andicha