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Realtime Monitoring and Analysis Based on Cloud Computing Internet of Things (CC-IoT) Technology in Detecting Forest and Land Fires in Riau Province Irawan, Yuda; Muzawi, Rometdo; Alamsyah, Agus; Renaldi, Reno; Elisawati, Elisawati; Nurhadi, Nurhadi; Amartha, Mohd Rinaldi; Mitrin, Abdullah; Asnal, Hadi; Hartomi, Zupri Henra
ILKOM Jurnal Ilmiah Vol 15, No 3 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i3.1636.445-454

Forest and land fires in Riau are natural disasters that always repeat every time they enter the dry season. The solution of this research is to apply the leading technology of cloud computing internet of things (CC-IoT) to find out more quickly the existence of forest or land fires. This study uses Particle Argon (Photon) to connect to the internet and several IR Fire Detector sensors, DHT22 MQ2 and GPS Neo 6m. Particle Argon can receive input and perform processing so that it is connected using the CC-IoT concept to a web server so the users can monitor land conditions in real time. Based on the test results, it can be concluded that a fire detector using fire parameters (2000 = Normal and 2000 = Danger) , temperature (≤37 = Normal, 38 – 45 = Alert, and 46 = Danger), humidity (≤50 = Dry, 51 = Humid) , smoke (≤ 1700 = Normal, 1700 = Danger), and soil moisture can work well ( 3500 = Dry Moisture Content, 1500 to 3500 = Medium Moisture Content, and 1500 = High Moisture Content). The fire detection tool developed can detect fires in real time and also has a fire early detection function that is useful for anticipating land conditions to prevent fires. The results obtained from the test are that the sensor can read indications of fire, smoke, soil moisture with a success rate of 93% and send location data and sensor values to the website. The use of sensors has their respective roles so that if there is a problem with one of the sensors, the tool has an alternative sensor and can continue to function.

Machine Learning Algorithm Optimization using Stacking Technique for Graduation Prediction Herianto, Herianto; Kurniawan, Bambang; Hartomi, Zupri Henra; Irawan, Yuda; Anam, M Khairul
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.316

Graduating on time is crucial for academic success, impacting time, costs, and education quality. Hang Tuah University Pekanbaru (UHTP) is currently struggling to meet its goal of achieving a 75% on-time graduation rate. This study introduces an innovative approach using machine learning techniques, particularly ensemble learning with Stacking Machine Learning Optuna SMOTE (SMLOS), to address this issue. Our primary objective is to enhance data classification accuracy to predict student graduation timelines effectively. We employ algorithms such as K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Decision Tree (C4.5), Random Forest (RF), and Naive Bayes (NB). These were combined with meta-models, including Logistic Regression (LR), Adaboost, XGBoost, LR+Adaboost, and LR+XGBoost, to create a robust prediction model. To address class imbalance, we applied the Synthetic Minority Over-sampling Technique (SMOTE) and utilized Optuna for hyperparameter tuning. The findings reveal that SMLOS with the Adaboost meta-model achieved the highest accuracy of 95.50%, surpassing previous models' performances, which averaged around 85%. This contribution demonstrates the effectiveness of using SMOTE for class imbalance and Optuna for hyperparameter optimization. Integrating this model into UHTP's academic information system facilitates real-time monitoring and analysis of student data, offering a novel solution for promoting a Smart Campus through more accurate student performance predictions. This technique is not only beneficial for predicting student graduation but can also be applied to various machine learning tasks to improve data classification accuracy and stability.

PENERAPAN DATA MINING MENGGUNAKAN METODE CLUSTERING EVALUASI DATA PENJUALAN PT ASPACINDO KEDATON MOTOR: PENERAPAN DATA MINING MENGGUNAKAN METODE CLUSTERING EVALUASI DATA PENJUALAN PT ASPACINDO KEDATON MOTOR Hartomi, Zupri Henra; Sabna, Eka; Yulanda, Yulanda; Amartha, Mohd; sanjaya, Rifki
Jurnal Ilmu Komputer Vol 11 No 2 (2022): Jurnal Ilmu Komputer
Publisher : STMIK Hang Tuah Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33060/JIK/2022/Vol11.Iss2.275

Perkembangan teknologi komunikasi dari waktu kewaktu dirasakan semakin pesat, salah satunya adalah dalam usaha penjualan. PT. Aspacindo Kedaton Motor Pekanbaru merupakan usaha yang bergerak dalam bidang Penjualan sepeda motor. Dalam hal ini penginputan penjualan hanya dijadikan sebagai laporan tanpa ada pengembangan data yang lebih lanjut untuk dijadikan sebuah pengetahuan. Oleh karena itu dibutuhkan Penegeloaan Data Mining dengan motode klustering untuk mengolah data transaksi penjualan, sehingga diproleht sebuah keputusan yang dapat digunakan untuk menganalisis data penjualan. Tujuan utama dari metode clustering adalah pengelompokan sejumlah data/obyek ke dalam cluster, dimana cluster tersebut akan berisi data yang sama dengan groupnya masing-masing. Manfaatnya mempermudah analisis data yang besar dan membantu memberikan informasi data penjualan. Hasil dari penelitian ini diperoleh perbandingan daerah mana menghasilkan banyak penjualan yaitu kluster 1 pada daerah Tenayan Raya, kluster 2 pada daerah Limapuluh. Dan kluster 3 pada daerah Payung sekaki. Dari pola yang di peroleh di harapkan dapat memberi pengetahuan untuk PT. Aspacindo Kedaton Motor Pekanbaru sebagai pendukung untuk mengambil kebijakan.

Aplikasi Pengolahan Data Kelahiran, Kematian, Datang dan Pindah Menggunakan Bahasa Pemrograman PHP Zalmadani, Hendro; Hartomi, Zupri Henra
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1175

Padang Birik-Birik Village is one of the villages in North Pariaman District, Pariaman City. The process of recapitulating birth, death, arrival, and moving letters received at the Padang Birik-Birik Village Office has problems, namely the process of making a cover letter for birth certificates and death certificates as well as arrival and moving letters. For the cover letter for birth certificates, it is done by filling out form F-2.09, for the cover letter for death certificates, it is done by filling out form F-2.20, to make a cover letter for arrival, it is done by filling out form F-1.01, Furthermore, for and moving letters, it is also done by filling out form F-1.04 which is done by hand. Another problem is the difficulty of finding archives/files of population data in the filing cabinets that are piled up and so many, because the process of finding archives/data files is done conventionally, namely looking at documents one by one. In developing the system, the author uses the waterfall method where the data collection techniques used include observation and interviews. For the development method using a structured method with several tools and work techniques such as flowcharts, use cases and activity diagrams. The programming language used in designing and implementing the system is PHP and the database used is MySql. The results of the study obtained that with the existence of this Application information system can facilitate village staff for the Process of Filling Death Forms, Births, coming and moving can be done quickly and efficiently.

Aplikasi Pengolahan Data Kelahiran, Kematian, Datang dan Pindah Menggunakan Bahasa Pemrograman PHP Zalmadani, Hendro; Hartomi, Zupri Henra
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1175

Padang Birik-Birik Village is one of the villages in North Pariaman District, Pariaman City. The process of recapitulating birth, death, arrival, and moving letters received at the Padang Birik-Birik Village Office has problems, namely the process of making a cover letter for birth certificates and death certificates as well as arrival and moving letters. For the cover letter for birth certificates, it is done by filling out form F-2.09, for the cover letter for death certificates, it is done by filling out form F-2.20, to make a cover letter for arrival, it is done by filling out form F-1.01, Furthermore, for and moving letters, it is also done by filling out form F-1.04 which is done by hand. Another problem is the difficulty of finding archives/files of population data in the filing cabinets that are piled up and so many, because the process of finding archives/data files is done conventionally, namely looking at documents one by one. In developing the system, the author uses the waterfall method where the data collection techniques used include observation and interviews. For the development method using a structured method with several tools and work techniques such as flowcharts, use cases and activity diagrams. The programming language used in designing and implementing the system is PHP and the database used is MySql. The results of the study obtained that with the existence of this Application information system can facilitate village staff for the Process of Filling Death Forms, Births, coming and moving can be done quickly and efficiently.

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