Articles
<![CDATA[Rancang Bangun Sensor Node untuk Pemantauan Kualitas Udara ]]>
<![CDATA[Heri Subagiyo]]>;
<![CDATA[Retno Tri Wahyuni]]>;
<![CDATA[Memen Akbar]]>;
<![CDATA[Fella Ulfa]]>
<![CDATA[ SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 18, No 1 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau ]]>
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DOI: 10.24014/sitekin.v18i1.11461
<![CDATA[Sensor Node untuk pemantauan kualitas udara merupakan perangkat pengukuran parameter kondisi kualitas udara pada suatu titik lokasi tertentu. Parameter yang diukur berdasarkan ISPU (Indeks Standar Pencemaran Udara) meliputi gas karbon monoksida (CO), nitrogen dioksida (NO2), sulfur dioksida (SO2), ozon (O3), dan partikel debu (PM10). Komponen yang digunakan pada sensor node yaitu mikrokontroler Arduino Uno, sensor MQ-7, sensor MQ-131, sensor MQ-135, sensor MQ-136, sensor GP2Y1010AU0F dan WiFi module. Sistem ini dikendalikan oleh mikrokontroler yang berfungsi untuk mengelola data hasil pengukuran sensor. Data mentah yang dibaca dari sensor dikonversi menjadi konsentrasi gas/partikulat debu dalam satuan ppm. Persamaan konversi diperoleh berdasarkan grafik hubungan keluaran sensor dan ppm yang tercantum pada datasheet sensor. Data tersebut selanjutnya dikirim ke server melalui WiFi module. Pengujian keseluruhan dilakukan dengan melakukan pengukuran kualitas udara pada dua titik secara bersamaan di Kota Pekanbaru. Hasil pengujian menunjukkan bahwa keseluruhan sistem dapat berjalan baik dan data berhasil dikirim ke server. Hasil pengukuran sudah berada pada daerah pengukuran masing-masing parameter kualitas udara.Hasil ini menunjukkan bahwa sistem dapat digunakan sebagai langkah awal pengembangan sistem monitoring kualitas udara.]]>
<![CDATA[Sistem Monitoring Nilai FFMC untuk Menentukan Potensi Penyulutan Api Menjadi Kebakaran ]]>
<![CDATA[Retno Tri Wahyuni]]>;
<![CDATA[Danar Wisnu]]>;
<![CDATA[M.Budi Satria Y]]>;
<![CDATA[Yusmar Palapa]]>
<![CDATA[ Jurnal Elektro dan Mesin Terapan Vol. 5 No. 2 (2019): Jurnal Elektro dan Mesin Terapan (ELEMENTER) ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/elementer.v5i2.3122
<![CDATA[Canadian Forest Fire Danger Rating System (CFFDRS) merupakan sistem yang digunakan saat ini untuk menentukan peringkat bahaya kebakaran suatu wilayah. Sistem tersebut terdiri dari beberapa subsistem, salah satunya adalah Fire Weather Index (FWI) yang berguna untuk memberikan informasi langsung tentang aspek-aspek tertentu dari bahaya kebakaran berdasarkan pengamatan cuaca semata. Pada penelitian ini akan dibahas mengenai salah satu kode dalam sub sistem FWI yaitu Fine Fuel Moisture Code (FFMC). FFMC ini merupakan kode yang digunakan untuk indikator potensi penyulutan api menjadi kebakaran. Nilai FFMC ditentukan dengan menggunakan hasil pengukuran parameter cuaca yaitu suhu udara, kelembaban udara, kecepatan angin, dan curah hujan. Dengan memanfaatkan sensor – sensor yang dapat mengukur parameter tersebut, maka dalam penelitian ini dirancang sebuah system pemantauan parameter cuaca untuk menentukan potensi penyulutan api menjadi kebakaran dan menggunakan SMS gateway sebagai media transmisi data. Perhitungan FFMC (Fine Fuel Moisture Code) ini akan dihitung dan ditampilkan menggunakan visual basic. Tampilan pada visual basic berupa tampilan FFMC harian, tampilan peta wilayah berdasarkan nilai FFMC dan tampilan uji perhitungan FFMC secara manual.]]>
<![CDATA[Alat Pemeras Lendir (Depulper) dan Pengering Biji Kakao Berbasis Programmable Logic Controller (PLC) ]]>
<![CDATA[retno tri wahyuni]]>
<![CDATA[ Jurnal Elektro dan Mesin Terapan Vol. 6 No. 2 (2020): Jurnal Elektro dan Mesin Terapan (ELEMENTER) ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/elementer.v6i2.4431
<![CDATA[Kualitas biji kakao kering sangat tergantung pada proses pengeringannya. Laju pengeringan biji kakao perlu diatur agar kualitas biji kakao kering tetap terjaga. Laju pengeringan yang terlalu cepat menyebabkan asam asetat terperangkap dalam biji yang mempengaruhi aroma dan rasa. Laju pengeringan yang lambat menyebabkan biji kakao membusuk atau tumbuh tunas. Proses pengeringan biji kakao dapat dilakukan secara konvensional menggunakan panas matahari atau menggunakan mesin pengering. Penggunaan mesin pengering memungkinkan pengeringan kapan saja tanpa dipengaruhi cuaca. Mesin pemeras dan pengering biji kakao merupakan alat yang dirancang dari segi mekanik dan elektronik agar dapat mengeringkan biji kakao dengan baik. Pengujian secara mekanik menunjukkan bahwa mesin cukup stabil untuk mengeringkan kakao sampai dengan berat 5Kg dengan putaran motor maksimal 1000rpm. Sistem elektronik terdiri dari bagian input, kontroller dan output. Bagian input terdiri dari tombol start stop dan sensor thermocouple, kontroller berupa programmable logic controller (PLC) sedangkan output berupa elemen pemanas (heater) dan motor AC. Pada mesin pengering biji kakao ini, suhu yang paling sesuai agar laju pengeringan tepat adalah sebesar 500 Celcius. Silinder pengering diputar menggunakan motor AC agar energi panas dapat tersebar secara merata. Hasil uji coba menunjukkan bahwa mesin pengering dapat mengontrol suhu silinder stabil disekitar 500 Celcius dan dapat mengeringkan biji kakao dalam waktu 3,sampai dengan 5 jam tergantung berat biji yang dikeringkan dan kandungan airnya. Konsumsi daya listrik rata-rata pada mesin adalah sebesar 0,542 KWh.]]>
<![CDATA[Rancang Bangun Sensor Node untuk Monitoring Parameter Cuaca dan PM2.5 Menggunakan Arduino WiFi ]]>
<![CDATA[Retno Tri Wahyuni]]>;
<![CDATA[Abdur Rahman Haritsah]]>;
<![CDATA[Heri Subagiyo]]>;
<![CDATA[Edi Rahmanto]]>
<![CDATA[ Jurnal Elektro dan Mesin Terapan Vol. 7 No. 2 (2021): Jurnal Elektro dan Mesin Terapan (ELEMENTER) ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/elementer.v7i2.5162
<![CDATA[The node sensor for monitoring weather parameters and PM2.5 consists of weather parameter sensors, such as temperature, humidity, sun radiation intensity, rainfall, wind speed and wind direction. In addition, there are air quality parameters contains, namely pm2.5 sensors. Data processing and delivery is carried out by Arduino Uno WiFi which is a microcontroller device that has been integrated with ESP8226 which is a module to connect with WiFi networks. Sensor data is sent from Arduino to the data base server to be displayed on the website. The test results of each sensor compared to BMKG data showed small measurement error results for temperature and rainfall parameters with error percentages of 4.61% and 9.95% respectively. The results of measuring wind speed parameters have a considerable error of 30.03% caused by wind speed measurements carried out at different altitudes to BMKG sensors. Measurements of wind direction show different wind direction frequencies because they do not set the same reference point as the BMKG sensor at the time of the sensor laying. The PM2.5 measurement also showed a considerable measurement error result of 14.7% because the laying of the sensor was not conditioned with standards as in the BMKG sensor so that the particulate sample measured was not the same as the BMKG sensor. For measurement of sun radiation intensity and humidity each has shown a trend that is in accordance with environmental conditions. Data delivery testing also works well because all data stored on the server database is in the correct column on the data base and shows the same results compared to the sample data that the sensor reads manually.]]>
<![CDATA[Peningkatan Akurasi Pengukuran Kadar Gas CO pada Node Sensor Sistem Monitoring Kualitas Udara Menggunakan Kompensasi Kesalahan ]]>
<![CDATA[Heri Subagiyo]]>;
<![CDATA[Welliya Randa]]>;
<![CDATA[Retno Tri Wahyuni]]>;
<![CDATA[Memen Akbar]]>
<![CDATA[ Jurnal Elektro dan Mesin Terapan Vol. 7 No. 2 (2021): Jurnal Elektro dan Mesin Terapan (ELEMENTER) ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/elementer.v7i2.5196
<![CDATA[Increasing the accuracy of the MQ-7 sensor node in the air quality monitoring system is a process to get better results from measuring carbon monoxide (CO) gas levels. The stage of increasing this accuracy begins with testing the comparison of data between the measuring instruments designed and the standard operational equipment of the BMKG Meteorological Station Class I Pekanbaru which is used as a benchmark. The purpose of this process is to get the correction value from the sensor output, which will be used as a value in compensating. In this study, there was an increase in the accuracy of measuring instruments by 79.86% from the previous study, from 19.74% to 99.60%. Thus, the increase in the accuracy of the measurement of carbon monoxide (CO) gas levels in the air quality monitoring system has shown better results than previous research.]]>
<![CDATA[Pengembangan Sistem Konversi Citra ke G-Code untuk Aplikasi Manufaktur ]]>
<![CDATA[Retno Tri Wahyuni]]>;
<![CDATA[Djoko Purwanto]]>;
<![CDATA[Tri Arief Sardjono]]>
<![CDATA[ Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2011: SNTIKI 3 ]]>
Publisher : <![CDATA[UIN Sultan Syarif Kasim Riau ]]>
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<![CDATA[Along with the development of technology, has provided software image converter with bmp format into G-code. But the software is not yet integrated with the camera. Software development about Image to G-code converter integrated with camera present in this paper. Before the G-code file is created, set the parameter like x-y resolution for image resolution, carving dimension and maximum depth.Object with varying shapes and size used in testing process. G-code file run in CNC Simulator. Result of testing indicate that carving object have similar form with original object and have appropriate dimension. Integration with the camera allowing the further development online of image to g-code converter and addition 3D reconstruction algorithm so the G-code represents the actual dimension of objects that the camera captured.Key words: Gray scale, G-code, CNC Simulator]]>
<![CDATA[Workforce Development Program untuk Pengembangan Masyarakat di Wilayah Operasi PT Chevron Pacific Indonesia ]]>
<![CDATA[Muhammad Ihsan Zul]]>;
<![CDATA[Meliza Putriyanti Zifi]]>;
<![CDATA[Hamid Azwar]]>;
<![CDATA[Retno Tri Wahyuni]]>
<![CDATA[ Majalah Ilmiah UPI YPTK Vol. 29 (2022) No. 1 ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jmi.v29i1.97
<![CDATA[Workforce Development Program (WFD) is a community service program implemented by Politeknik Caltex Riau funded through a cost recovery mechanism by SKK Migas and PT. Chevron Pacific Indonesia (CPI). The background of this program relates to the unemployment rate condition in Riau Province (6.32%). This fact aggravated when Covid-19 hits the world and has an impact on laborers/workers lives, especially in Riau. There are workers who got termination as employment, some of them being laid off directly. WFD aims to provide additional skills and certificates for the workforce in Riau to have higher competitiveness index. The WFD program is implemented through the training and certification activities in the fields of Occupational Safety, Health and Safety Experts (AK3), Oil and Gas Occupational Safety, Health and Safety Operators, and Dump Truck Operators. The stages of the implementation program include socialization, recruitment, opening program, training, and certification (online, offline and blended training), and closing. There are 103 participants who pass as WFD 2021 beneficiaries. There are 101 participants who have passed the certification. The graduation achievement of the 2021 WFD Program is 98.06% (101/103). Based on the results of alumni tracing conducted 1 month after the training and certification phase, there were 25% of participants stated that the competencies they had when participating in WFD were able to increase their income.]]>
<![CDATA[Analisis Dampak Penerapan Sistem Proteksi Plugging pada Chute Conveyor Berbasis PLC di PLTU Tenayan ]]>
<![CDATA[Retno Tri Wahyuni]]>;
<![CDATA[Zulkifli Zulkifli]]>
<![CDATA[ INFOMATEK Vol 24 No 1 (2022): Volume 24 No. 1 Juni 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Pasundan ]]>
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DOI: 10.23969/infomatek.v24i1.4623
<![CDATA[Sistem coal handling memegang peranan sebagai sistem yang mensuplai batu bara untuk PLTU Tenayan dengan SLA (Service Level Agreement) 40 jam waktu bongkar tiap shipment. Permasalahan yang sering terjadi pada saat pembongkaran batu bara adalah tumpahnya batu bara di jalur bongkar karena penumpukan dan batu bara dengan dimensi besar mengganggu performa peralatan lain. Untuk meningkatkan keamanan dan efisiensi operasi dalam sistem coal handling akan dilengkapi dengan sistem proteksi plugging, yang akan dipasang di chute conveyor. Sistem ini bekerja berdasarkan prinsip kemampatan dimensi, dengan menggunakan feedback dari sensor limit switch yang mengirimkan sinyal ke PLC sebagai controller yang kemudian akan menonaktifkan motor conveyor. Sebelum proteksi ini digunakan waktu bongkar defisit -21% dari target maksimal 40 jam, dan setelah proteksi ini digunakan rata-rata waktu bongkar 4 bulan terakhir adalah 95%, surplus 5% dari waktu 40 jam. Dari data pemeliharaan terukur sebelum proteksi plugging digunakan persentase pemeliharaan CM = 56% dan setelah proteksi plugging digunakan persentase pemeliharaan CM = 44%, terukur penurunan pemeliharaan CM adalah 12%.]]>
<![CDATA[Robot Line Maze Pencari Jalur Tercepat ]]>
<![CDATA[Robby Pranata]]>;
<![CDATA[Retno Tri Wahyuni]]>;
<![CDATA[Tianur tianur]]>
<![CDATA[ Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol 1 No 2 (2018): Volume I - Nomor 2 - Februari 2018 ]]>
Publisher : <![CDATA[Teknik Informatika ]]>
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<![CDATA[Robot line maze is a robot designed to move with the aid of autonomous sensor to follow a line with a certain pattern. Stripe pattern used is black that is placed on a white surface that is detected by the color sensor. This robot but to follow the flow of the line, also can find the shortest route to reach the target of the starting position to the finish. This maze robot line uses 2 priority is the priority right and left. Left to priority, when the robot will give priority to meet the robot intersection turn left rather than straight or turn right, if it is not found then the robot option left turn will take a straight path. Likewise for the right of priority, when the robot will give priority to meet the robot intersection turn right rather than straight or turn left, when it is not found then the robot turn right choice will take a straight path. Thus, the time required to reach the destination in a maze path more quickly and effectively. At the end of the project is to design and realization of the design of the robot line maze using ATMega8535 AVR microcontroller, sensors photodiode as sensor lines, as LCDdisplays, DC motors as well as the robot driver using Bascom AVR programming language]]>
<![CDATA[Program Penguatan Kapasitas Tendik SMK Sebagai Salah Satu Upaya Pendukung Penguatan Ekosistem Vokasi Di Provinsi Riau ]]>
<![CDATA[Retno Tri Wahyuni]]>;
<![CDATA[Muhammad Ihsan Zul]]>;
<![CDATA[Hamid Azwar]]>;
<![CDATA[Elva Susianti]]>
<![CDATA[ Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 5 (2022): Dinamisia: Jurnal Pengabdian Kepada Masyarakat ]]>
Publisher : <![CDATA[Universitas Lancang Kuning ]]>
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DOI: 10.31849/dinamisia.v6i5.11123
<![CDATA[Capacity Empowerment Program for Vocational High School Personnel is one part of the sosial corporate responsibilty (CSR) of PT Pertamina Hulu Rokan (PHR) in partnership with the PCR. This program is in order to support the strengthening of the vocational ecosystem in Riau Province which is in line with Governor Regulation Number 6 of 2022 concerning strengthening vocational education and training through partnerships with Industry, Business, and the World of Work. Capacity Empowerment Program for Vocational High School Personnel is packaged in the form of training and Microsoft Office certification. Through this program, it is hoped can support strengthening governance in vocational education units. A total of 144 people from 42 vocational schools signed up for this program. After going through the selection process, 26 participants from 25 vocational schools were selected. The series of programs run according to the planned schedule. Feedback on the program indicated that participants experienced increased knowledge and skills regarding Microsoft Office. All training participants were also declared competent in the Junior Office Operator scheme and received a certificate from the National Professional Certification Agency (BNSP).]]>
