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Peningkatan ketrampilan pemuda di sekitar Masjid Ash-Siddiq, Umbansari Rumbai Pekanbaru melalui kegiatan pelatihan berbasis teknologi Mochamad Susantok; Sugeng Purwantoro Edy GS
Unri Conference Series: Community Engagement Vol 2 (2020): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.2.44-49

Abstract

The Directorate of Youth and Sports of the Ash-Siddiq Islamic Foundation (YIAS) is located at the Ash-Siddiq mosque complex as a center for Islamic activities for the Muslim community in 3 RW 10, 11 and 13 in Umbansari sub-district, Rumbai district, Pekanbaru City. The problem is the lack of trained human resources for publication activities and the lack of youth activities in mosques. The aim of the program is to increase the participation of environmental youth in positive activities as well as to increase the number of congregations praying 5 times a day among youth as an effort to foster and coordinate activities at the YIAS Youth and Sports Directorate. The method of implementing program activities includes the provision of internet services within the Ash-Siddiq mosque as a means of publicizing activities through social media. Then in addition to video editing workshops as technical skills provision to support the YIAS activity publication program. The program results in the form of the impact of increasing youth participation in religious activities such as congregational prayer in mosques which increased by an average of 174.4%. In addition, the increase in publications on social media Facebook, Instagram, and YouTube to an average of 9.6 posts for each YIAS official account on social media. Then the results of the usability survey analysis of the use of internet services and the use of video streaming equipment to publish directly, the results are 90.9% or 4.54 on a scale of 1-5
Sistem Kendali Cerdas Penggunaan Daya Listrik Menggunakan Metode Eliminasi Nilai Tertinggi Berbasis IoT Mochamad Susantok; Noptin Harpawi; Muhammad Diono
Jurnal Elektro dan Mesin Terapan Vol. 8 No. 2 (2022): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.444 KB)

Abstract

The use of electrical equipment that exceeds the maximum power limit of the Miniature Circuit Breaker (MCB) determined by PLN so that there is a power outage is a problem for users of the household sector.The amount of initial power consumption when the electrical equipment is turned on again becomes a burden for the household sector. This can be prevented, one of which is by adjusting the electrical power load so that it does not exceed the threshold limit in the MCB. The intelligent control system in this study uses the IoT NodeMCU ESP8266 device as a sensor node that can measure the power used from electrical equipment connected to the sensor node. One of the sensor nodes calculates the total measured power of all active sensor nodes and determines the action for an overload condition. The overload condition is met if the total rated power exceeds the specified maximum power threshold. The action of this condition selects the highest power system at each sensor node and disconnects the electric current at the selected sensor node so that the electrical equipment with the highest power is off and the total power is corrected below the threshold limit. This algorithm is used to prevent disconnection in the MCB due to exceeding the electrical load or the maximum power allowed according to the provisions by PLN. The average power measurement accuracy at the sensor node is 85.9% or with a % error of 14.1% and the highest power elimination algorithm manages to keep the total power load below a predetermined threshold. As a result, electrical equipment with the highest power will always be compensated when conditions touch the maximum power threshold.
RANCANG BANGUN LOKALISIR GANGGUAN SALURAN KABEL TEGANGAN MENENGAH (SKTM) BERBASIS SMS Abdul Hadi; Mochamad Susantok
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Abstract

Medium Voltage Cable Line (SKTM) is a 20,000 volt cable that is installed underground to avoid roads, enter buildings owned by PLN customers, and avoid electrical hazards to the public. The number of SKTM points in the PT PLN (Persero) Unit, especially the ULP Bagan Batu, makes it difficult for workers to find the location of the disturbance caused by the SUTM or SKTM network itself. If there is a disturbance, SKTM, which is damaged, the localization process and electrical normalization will take longer. So it is necessary to make a device by attaching a current sensor at the input and output end of each SKTM in order to determine the location of the affected SKTM or SUTM. The impulses read by the current sensor will be managed by Arduino Mega 2560 which will then be notified via an SMS gateway. This system performance resulting about 5 sec delay transmission data to smartphone and sensor accuracy 1,83%. It is hoped that this design can solve the tracking problem more easily and quickly so that PT PLN customers do not feel the outages for too long and as a reference for PT PLN makes their equipment to the 20,000 volt working system.
RANCANG BANGUN ALAT PEMBERIAN PAKAN IKAN OTOMATIS BERBASIS ANDROID DAN SOLAR CELL DI DAERAH TIMBAK IKAN KABUPATEN KAMPAR Frensis Owen; Mochamad Susantok
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Abstract

In the fish farming business, feeding is very important. This causes fish entrepreneurs to try to be effective in feeding by employing other people to feed the fish. However, workers cannot spend 24 hours in the pond, so an automatic feed spreader is needed to make it easier for workers and ease the burden on fish entrepreneurs. This automatic feed spreader is designed using solar energy. This study uses NodeMCU ESP8266 as a microcontroller. The resulting data are in the form of average feed output, feed output per second, distance of feed throw, the effectiveness of tools in large ponds, and the time required for the solar cell to charge the battery and battery life in normal conditions. The average output test obtained is 1403.8 gr, the average feed output per second is 561.52 gr / s, the measurement of the farthest throw distance is 5 m when the tool is placed on a 30 cm high support and from the data obtained by the tool This automatic feeder is effective against all types of pond sizes, namely small, medium and large ponds. Then in terms of solar cells, the time needed to charge the battery capacity is 2-3 hours and the resistance of the tool in normal conditions is up to 12 hours. With this tool, fish feed can be done more optimally and in a more timely manner and provides convenience for fish breeders in terms of feeding.
Implementasi Wise Smart Home Untuk Penggunaa Energi Menggunakan Algoritma Percabangan Bersyarat Pada Server Blynk Samuel Siallagan; Mochamad Susantok
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Abstract

Dalam penggunaan energi listrik sering terjadinya kelalaian dalam penggunaanya dimana perangkat tersebut sedang dalam keadaan aktif terutama pengisian sumber daya air dan penggunaan listrik yang berlebihan sehingga dapat memungkinkan perangkat tersebut menimbulkan berbagai masalah. Penelitian ini merupakan pengembangan dari penelitian sebelumnya tentang sistem kontrol dan monitoring penggunaan energi listrik dan air pada suatu rumah (smart home). Fungsi kontrol dan monitoring dirasa belum cukup untuk dikatakan wise smart karena sistem belum memiliki kecerdasan dalam mengambil keputusan akan suatu kondisi tertentu. Pada penelitian ini memungkinkan untuk menanamkan kecerdasan atau program pengambil keputusan akan suatu kondisi dari data yang dihasilkan oleh perangkat IoT. Metode bridge memungkinkan antar perangkat IoT berkomunikasi dan saling berbagi data melalui server cloud blynk. Dengan demikian melalui suatu program atau algoritma tertentu, seperti algoritma percabangan bersyarat dapat diimplementasikan untuk menciptakan sistem yang mampu mengambil keputusan atas suatu kondisi tertentu dan bahkan dapat dikembangkan ke wise smart system jika ada beberapa faktor yang menjadi pertimbangan keputusan. Dari hasil percobaan smartplug diketahui bahwa presentase error terbesar yaitu pada perangkat Mesin Cuci yang nilainya 13,27% sedangkan yang terndahnya pada perangkat TV Sharp yaitu 1,67%, ini terjadi dikarenakan pada perangkat mesin cuci memiliki kesetabilan arus sangat rendah sedangkan perangkat TV Sharp memiliki kesetabilan arus yang tinggi, hal ini dipengaruhi oleh karakteristik mesin cuci yang menarik arus pada periode yang berkala.
Natural smart home automation system using LSTM based on household behaviour Susantok, Mochamad; Ahmad Po’ad, Farhana; Joret, Ariffuddin; Hilwa Salsabillah, Maulina
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 2: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i2.pp758-770

Abstract

A smart home automation system (SHAS) utilizing data-driven learning is an advanced internet of things (IoT) application aimed to learn household behavior to prevent miniatur circuit breaker (MCB) trips due to overload. Unlike traditional deterministic methods, this study leverages a layered AI model, featuring real-time data collection, long short-term memory (LSTM) based learning, and an automatic control system. The LSTM classification model generates precise ON/OFF control signals sent to IoT smartplugs, optimizing appliance usage and reducing the risk of electrical overload. Data from smartplug sensors, including appliance status and environmental factors like power consumption, temperature, and humidity, were collected every minute over three months, yielding 80,818 data points. The system's performance was evaluated on three appliances: Air Conditioner, Television, and Water Pump Machine. Results showed high accuracy for Television at 98% and Water Pump Machine at 97.6%, with slightly lower accuracy for Air Conditioner at 81.9%. This demonstrates the system's effectiveness in real-world applications. The scalability and adaptability of the Natural SHAS model to different appliances and environments mark a significant advancement in smart home automation, offering a practical solution for preventing electrical overload and improving household energy management.
Peningkatan Akurasi Sistem Pemantauan Suhu Dan Kelembapan Pada Laboratorium Pengujian Benih Tanaman Menggunakan Inversi Regresi Linier Akbar, Memen; Susantok, Mochamad; Wibowo, Agus Urip Ari; Rahul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 1: Februari 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025129083

Abstract

Laboratorium uji benih memerlukan informasi suhu dan kelembapan ruang untuk menjaga kualitas proses pengujian benih. Saat ini, laboran mencatat parameter lingkungan dua kali sehari pada pukul 9.00 dan 14.00 dengan menggunakan alat ukur terkalibrasi. Namun, metode ini tidak mencakup data di luar jam kerja atau pada hari libur, sehingga tidak memenuhi persyaratan pencatatan kontinu yang diwajibkan oleh Komite Akreditasi Nasional (KAN). Penelitian ini bertujuan untuk mengembangkan sistem pemantauan kualitas udara berbasis IoT yang mampu mencatat suhu dan kelembapan secara kontinu tanpa keterbatasan waktu serta memastikan akurasi data dengan mekanisme kalibrasi menggunakan metode inversi regresi linier. Sistem ini menampilkan data langsung pada layar OLED, menyimpan data di media microSD, dan mengunggahnya ke lembar kerja daring untuk pemantauan dan analisis lebih lanjut. Hasil pengujian menunjukkan bahwa sistem memiliki tingkat akurasi pengukuran sebesar 98% untuk suhu dan 97% untuk kelembapan setelah menggunakan inversi regresi linier dengan menggunakan 15 data. Dengan demikian, sistem ini mampu menggantikan metode pencatatan manual yang terbatas dan memenuhi persyaratan pencatatan kontinu dari KAN.   Abstract Seed testing laboratories require temperature and humidity information to maintain the quality of seed testing processes. Currently, laboratory staff record environmental parameters twice daily at 9:00 AM and 2:00 PM using calibrated measuring instruments. However, this method does not cover data outside working hours or during holidays, thus failing to meet the continuous recording requirements mandated by the National Accreditation Committee (KAN). This study aims to develop an IoT-based air quality monitoring system capable of recording temperature and humidity continuously without time constraints while ensuring data accuracy through a calibration mechanism using the linear regression inversion method. The system displays real-time data on an OLED screen, stores data on a microSD card, and uploads it to an online spreadsheet for further monitoring and analysis. The test results show that the system achieves a measurement accuracy of 98% for temperature and 97% for humidity after applying the linear regression inversion method by using 15 data. Thus, the system can replace the limited manual recording method and meet the continuous recording requirements set by the KAN.
Sistem Prediksi Biaya Bulanan Peralatan Elektronik di Rumah Berdasarkan Kebiasaan Pengguna Menggunakan Algoritma Lstm Fajar, Muhammad; Susantok, Mochamad
Electrical Today Vol 1 No 02 (2025): Electrical Today: December 2025
Publisher : Asosiasi Material Terapan dan Teknologi (AMTT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65794/J.Electo.1.02.90-100

Abstract

Konsumsi energi listrik rumah tangga yang tidak terpantau dapat menyebabkan pemborosan energi dan lonjakan biaya. Penelitian ini mengembangkan sistem prediksi biaya listrik bulanan berbasis algoritma Long Short-Term Memory (LSTM) menggunakan data real-time dari perangkat elektronik rumah tangga. Sistem memanfaatkan smartplug untuk merekam konsumsi daya per menit dan Node-RED sebagai platform visualisasi. Data melalui tahapan pre-processing, pembentukan time-series, pelatihan model, dan evaluasi menggunakan Mean Absolute Error (MAE) dan Root Mean Squared Error (RMSE). Hasil menunjukkan model LSTM mencapai akurasi 94,5% pada epoch ke-40 dengan RMSE 19.537,10 dan MAE 18.690,79. Sistem terintegrasi dalam dashboard Node-RED yang menyajikan visualisasi histori dan prediksi otomatis, membuktikan efektivitas pendekatan LSTM dalam membantu pengguna mengelola konsumsi energi rumah tangga.
Technique of Standing Up From Prone Position of a Soccer Robot Khamdi, Nur; Susantok, Mochamad; Darmawan, Antony
EMITTER International Journal of Engineering Technology Vol 6 No 1 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.421 KB) | DOI: 10.24003/emitter.v6i1.300

Abstract

One of the humanoid robots being developed in the field of sports is a soccer robot. A soccer robot is a humanoid robot that can perform activities such as playing football. And a variety method fall down of robot soccer such: falling down toward the front direction, side direction, and rear direction. This paper describes the most stands up methods of a soccer robot from its prone position. The proposed method requires only limited movement with degrees of freedom. The movement standing-up of soccer robot has been implemented on the real robot. Tests we performed showed that reliable standing-up from prone position is possible after a fall and such recovery procedures greatly improve the overall robustness of a Soccer Robot.