Articles
<![CDATA[Design Gas LPG Leak Detection System Based on Internet of Things ]]>
<![CDATA[Erika Lety Istikhomah Puspita Sari*]]>;
<![CDATA[I Ketut Agung Enriko]]>;
<![CDATA[Melinda Melinda]]>
<![CDATA[ JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 8, No 3 (2023): Juni, socio-economics, community law, cultural history and social issues ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.24815/jimps.v8i3.24989
<![CDATA[Gas leak detection systems are essential for ensuring the safety of people and property. The use of Internet of Things (IoT) technology in gas leak detection systems has become increasingly popular due to its ability to connect devices and collect data from various sources. In this paper, we propose the design and development of an LPG gas leak detection system based on IoT. The system uses LPG gas sensors to detect the presence of gas in the environment, a microcontroller to process the data and send it to the cloud, and a web-based dashboard to display the real-time gas concentration levels and send alerts to users in case of gas leakage. Liquefied Petroleum Gas is a tool that serves to anticipate the safety of a gas leak hazard that can cause explosion and harm to the soul and property. In this final assignment explains how to create a detection system using the MQ-2 gas sensor that is connected to the NODEMCU ESP8266 microcontroller which is then sent to Firebase where the data storage can be viewed in realtime and continued to the Android application, the application used is the MIT App Inventor that has been created to receive notifications in the event of a gas leak. Using a MQ-2 gas sensor with a standard value in the event of gas leakage above 200. This system has fulfilled the rules of the Internet of things because it uses the Internet to connect.]]>
<![CDATA[Breast cancer recurrence prediction system using k-nearest neighbor, naïve-bayes, and support vector machine algorithm ]]>
<![CDATA[I Ketut Agung Enriko]]>;
<![CDATA[Melinda Melinda]]>;
<![CDATA[Agnesia Candra Sulyani]]>;
<![CDATA[I Gusti Bagus Astawa]]>
<![CDATA[ JURNAL INFOTEL Vol 13 No 4 (2021): November 2021 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v13i4.692
<![CDATA[Breast cancer is a serious disease and one of the most fatal diseases in the world. Statistics show that breast cancer is the second common cancer worldwide with around two million new cases per year. Some research has been done related to breast cancer, and with the advancements of technology, breast cancer can be detected earlier by using artificial intelligence or machine learning. There are popular machine learning algorithms that can be used to predict the existence or recurrence of breast disease, for example, k-Nearest Neighbor (kNN), Naïve Bayes, and Support Vector Machine (SVM). This study aims to check the prediction of breast cancer recurrence using those three algorithms using the dataset available at the University of California, Irvine (UCI). The result shows that the kNN algorithm gives the best result in terms of accuracy to predict breast cancer recurrence.]]>
<![CDATA[The effect of power spectral density on the electroencephalography of autistic children based on the welch periodogram method ]]>
<![CDATA[Melinda Melinda]]>;
<![CDATA[I Ketut Agung Enriko]]>;
<![CDATA[Muhammad Furqan]]>;
<![CDATA[Muhammad Irhamsyah]]>;
<![CDATA[Yunidar Yunidar]]>;
<![CDATA[Nurlida Basir]]>
<![CDATA[ JURNAL INFOTEL Vol 15 No 1 (2023): February 2023 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v15i1.874
<![CDATA[Autism spectrum disorder (ASD) is a serious mental disorder affecting social behavior. Some children also face intellectual delay. In people with ASD, the signals detected have abnormalities compared to normal people. This can be a reference in diagnosing the disorder with electroencephalography (EEG). This study will analyze the effect of Power spectral density (PSD) on the EEG of autistic children and also compare it with the PSD value on the EEG of normal children using the Welch Periodogram method approach. In the preprocessing stage, the Independent Component Analysis (ICA) method will be applied to remove artifacts, and a Finite Impulse Response (FIR) filter to reduce noise in the EEG signal. The study results indicate differences in the PSD values obtained in the autistic and normal EEG signals. The PSD value obtained in the autistic EEG signal is higher than the normal EEG signal in all frequency sub-bands. From the study results, the highest PSD value obtained by the autistic EEG signal is in the delta sub-band, which is 54.06 dB/Hz, while the normal EEG signal is only 33.14 dB/Hz at the same frequency sub-band. And in the Alpha and Beta sub-bands, the normal EEG signal increases the PSD value, while in the autistic EEG signal, the PSD value decreases in the Alpha and Beta sub-bands. In addition, FIR and ICA methods can also reduce noise and artifacts contained in autistic and normal EEG signals.]]>
<![CDATA[A Fire suppression monitoring system for smart building ]]>
<![CDATA[I Ketut Agung Enriko]]>;
<![CDATA[Angela Niarapika Nababan]]>;
<![CDATA[Adian Fatchur Rochim]]>;
<![CDATA[Sri Kuntadi]]>
<![CDATA[ JURNAL INFOTEL Vol 15 No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v15i2.940
<![CDATA[A fire suppression system (FSS) monitoring system is a system to monitor the FSS devices’ status since FSS is a critical system to respond to fire disasters. The monitoring system collects data on important parameters which are water pressure, main power status, and backup power status. The FSS monitoring system is built with an IoT capability where data are collected from the FSS module and sent to the IoT platform through Wi-Fi based Internet connection. Then the data will be displayed in a dashboard application. A QoS assessment framework is referred to and performed to check the performance of the FSS monitoring system, namely the TIPHON framework, which consists of five parameters: bandwidth, throughput, packet loss, delay, and jitter. The overall score for the FSS system using the TIPHON standard is 3.2 or categorized as “good”.]]>
<![CDATA[Perencanaan Jaringan LoRaWAN Untuk Smart Meter di Kabupaten Gresik ]]>
<![CDATA[I Ketut Agung Enriko]]>;
<![CDATA[Fikri Nizar Gustiyana]]>;
<![CDATA[Hedi Krishna]]>
<![CDATA[ Jurnal Riset Rekayasa Elektro Vol 5, No 1 (2023): JRRE VOL 5 NO 1 JUNI 2023 ]]>
Publisher : <![CDATA[LEMBAGA PUBLIKASI ILMIAH DAN PENERBITAN, UNIVERSITAS MUHAMMADIYAH PURWOKERTO ]]>
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DOI: 10.30595/jrre.v5i1.17221
<![CDATA[Perkembangkan teknologi terutama di bidang energi sangat pesat, Energi meter digital yang dikembangkan adalah smart meter. Smart meter mempunyai informasi tambahan seperti besar energi yang terpakai dalam kWh dan harga energi tersebut. Penelitian ini bertujuan untuk merancang jaringan LoRaWAN di sisi coverage untuk mengetahui berapa jumlah gateway yang dibutuhkan dan untuk merancang smart meter berbasis IoT untuk memaksimalkan dan memudahkan masyarakat terutama pada kebutuhan listrik untuk menunjang aktivitas sehari hari. Metode yang digunakan berupa simulasi menggunakan software Atoll versi 3.40 dan beberapa tahapan perhitungan untuk memprediksi kekuatan dan kualitas sinyal di daerah Kabupaten Gresik. Penelitian ini menggunakan fekuensi 920 MHz dengan bandwidth 125 khz dan Spreading factor 1 sampai 12. Hasil yang didapat berupa perbandingan jumlah gateway, kekuatan sinyal dan kualitas sinyal berdasarkan variasi spreading factor. SF 7 menghasikan 77 gateway dengan kekuatan sinyal -69,29 dBm dan kualitas sinyal 8.43 dBm. spreading factor. SF 12 menghasikan 35 gateway dengan kekuatan sinyal -86,08 dBm dan kualitas sinyal 9,04 dBm. Semakin besar SF yang digunakan akan meningkatkan kualitas sinyal tetapi mengurangi kekuatan sinyal dan juga gateway yang lebih sedikit.]]>
<![CDATA[Sistem Peringatan Tersemat untuk Pengemudi Mengantuk ]]>
<![CDATA[Erika Lety Istikhomah Puspita Sari]]>;
<![CDATA[I Ketut Agung Enriko]]>
<![CDATA[ Jurnal Riset Rekayasa Elektro Vol 5, No 1 (2023): JRRE VOL 5 NO 1 JUNI 2023 ]]>
Publisher : <![CDATA[LEMBAGA PUBLIKASI ILMIAH DAN PENERBITAN, UNIVERSITAS MUHAMMADIYAH PURWOKERTO ]]>
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DOI: 10.30595/jrre.v5i1.17922
<![CDATA[Pendeteksian Driver Drowsiness (DDD) merupakan teknologi keselamatan kendaraan penting yang dirancang untuk mencegah kecelakaan akibat kantuk pengemudi. Dalam penelitian ini, pendekatan baru diajukan menggunakan model jaringan saraf konvolusi (CNN) ringan yang terdiri dari 44.853 parameter. Berkat ke ringanannya, model ini bekerja secara efisien bahkan pada perangkat dengan sumber daya terbatas. Hasil percobaan menunjukkan kinerja kompetitif model ini dibandingkan dengan model yang ada dengan ukuran input dan jumlah parameter yang lebih besar. Dalam hal akurasi, metode ini mencapai akurasi sebesar 92,06% pada dataset Curtin Emotion Wheels (CEW) yang mengesankan. Bahkan dalam kondisi pencahayaan yang sulit, performa model ini tetap luar biasa jika digabungkan dengan kamera termal. Secara khusus, model ini mencapai akurasi yang luar biasa sebesar 95,10% pada jarak kamera 0,3-meter dari wajah pengemudi. Selain itu, metode ini memiliki karakteristik kecepatan yang sangat baik, sehingga cocok digunakan pada perangkat tertanam. Kecepatan rata-rata perangkat Raspberry Pi 4 diperkirakan mencapai 5 frames per detik (FPS). Hal ini menunjukkan kepraktisan dan kelayakan penerapan pendekatan ini dalam skenario waktu nyata, yang semakin meningkatkan keselamatan pengemudi.]]>
<![CDATA[Analisis Implementasi Konektivitas Indihome Untuk Pengguna Smart Meter PLN ]]>
<![CDATA[Karima, Aisyatul]]>;
<![CDATA[Enriko, I Ketut Agung]]>
<![CDATA[ TEMATIK Vol 9 No 1 (2022): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2022 ]]>
Publisher : <![CDATA[LPPM POLITEKNIK LP3I BANDUNG ]]>
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DOI: 10.38204/tematik.v9i1.902
<![CDATA[Smart meters are an integration of ICT in energy meters. The smart meter has a two-way communication feature that allows the operator to read energy data remotely and in real-time. Carrying out remote and real-time monitoring raises several problems including connection costs, coverage area, and the quality of the connection. Based on this background, the formulation of the problem in this study is how to choose effective and efficient smart meter connectivity for customers and how the performance of IndiHome services in the implementation of PLN's smart meters. The purpose of this study is to provide a recommendation system for the selection of an effective connection and propose a new architecture for PLN smart meter customers. This is one of the Internet of things (IoT) implementations to save cost in the use of smart meters. The method used is a literature review, survey, data collection, develop a new architecture, as well as analysis and evaluation of the results. The results of this study indicate that the proposed new IndiHome architecture can send monitoring data from the PLN smart meter device remotely and in real-time and does not incur costs that burden customers.]]>
<![CDATA[Control and Monitoring System of Growing Media for Cucumber Plants Based on the Internet of Things ]]>
<![CDATA[Enriko, I Ketut Agung]]>;
<![CDATA[Dewi, Mela Kartika]]>;
<![CDATA[Indriyanto, Slamet]]>;
<![CDATA[Gustiyana, Fikri Nizar]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024 ]]>
Publisher : <![CDATA[Universitas Budi Darma ]]>
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DOI: 10.30865/mib.v8i1.7072
<![CDATA[Cucumber is one of the horticultural commodities that has good prospects for cultivation because cucumber plants can be marketed domestically and abroad. Soil condition and fertility a very important factors in increasing agricultural growth and production. The ideal data for a good soil pH for planting cucumbers is 6-7, for a soil temperature of 18-30C and humidity of 50-60%. Ignorance of farmers about the value and condition of the land can lead to poor production of cucumber plants. Therefore the authors created a control and monitoring system to monitor soil conditions or growing media in cucumber plants. In this system, there is a soil pH sensor, temperature sensor, soil moisture sensor, and automatic sprinkler for fertilizer when the soil pH value is less than the specified limit. This system also applies the Internet of Things concept for sending data on the Telkom IoT Platform platform. Based on the test results of testing the soil temperature sensor, it gets an average error value of 0.67% and an accuracy value of 99.33%. Testing the soil moisture sensor obtains an error value and accuracy of 4.80% and 95.20%, respectively. Whereas in testing the pH sensor which was calibrated using the linear regression method, it obtained an average error value of 1.69% and an accuracy of 98.31%.]]>
<![CDATA[LoRA Gateway Coverage and Capacity Analysis for Supporting Monitoring Passive Infrastructure Fiber Optic in Urban Area ]]>
<![CDATA[Enriko, I Ketut Agung]]>;
<![CDATA[Gustiyana, Fikri Nizar]]>;
<![CDATA[Giri, Gede Chandrayana]]>
<![CDATA[ Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY ]]>
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DOI: 10.21831/elinvo.v8i2.59280
<![CDATA[In the era of digital transformation, telecommunications infrastructure has become the backbone of global connectivity. Optical Distribution Cabinet (ODC) is a crucial part of an optical network that distributes signals to various points in the network. Maintenance and monitoring of ODCs have become essential to ensure optimal availability and performance. However, conventional approaches are often expensive and difficult to implement. The objective of this study is to develop a LoRaWAN network with the purpose of determining the required number of gateways. Additionally, the research aims to devise an IoT-basedODC device monitoring system within the FTTH network, utilizing data from PT. Telkom Witel Bandung. The approach involves employing simulation techniques through the Atoll apps v 3.40. Multiple calculation stages are applied to expect RSSI and SINR parameters within an area spanning 188.96 km². The study employs a frequency of 920 MHz, a bandwidth of 125 kHz, and a spreading factor of 10. The data analysis includes RSSI and SINR signals. As a result of calculations and planning simulations, this study recommended the use of nine gateways and achieved an RSSI parameter of -70. 35 dBm and a SINR parameter of 17. 33 dBm.]]>
<![CDATA[Kajian Strategik Manajemen Keamanan Siber terhadap Proyek Telematika di Indonesia: Studi Kasus Kebocoran Pusat Data Nasional ]]>
<![CDATA[Ramadhani, Eka Hero]]>;
<![CDATA[Enriko, I Ketut Agung]]>;
<![CDATA[Sari, Erika Lety Istikhomah Puspita]]>
<![CDATA[ Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh ]]>
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DOI: 10.35870/jimik.v6i1.1210
<![CDATA[On June 20, 2024, a cyber attack occurred on PDN, which caused several government public services in the form of SPBE to not run properly. The incident has the potential to cause data leakage and disclosure of the government and the Indonesian public by hackers. Cyber incident cases on PDN need to be studied in order to gain useful knowledge for implementing cybersecurity in telematics projects in Indonesia, especially SPBE. In this scientific paper, a study of cybersecurity management strategies is conducted on telematics projects in Indonesia with a case study of PDN leaks. The exploratory study method is used to identify the causes of cyber incidents on PDN. The factors causing PDN cyber incidents are then entered into the PPT framework to determine the handling solutions. The results of the identification and mapping show that there are 3 human factors, 4 factors, and 7 technological factors. The cybersecurity management strategy for telematics projects in Indonesia proposed in this study is in the form of solutions for handling, mitigating, and anticipating cyber incidents according to the case study studied. The results of this study can be a reference for organizers of public service telematics projects so that similar incidents do not occur in the future.]]>
