Garuda - Garba Rujukan Digital

RESTORASI CITRA MENGGUNAKAN JARINGAN SARAF TIRUAN (HOPFIELD) Silfia Rifka
Elektron : Jurnal Ilmiah Vol 1 No 2 (2009): Elektron Jurnal Ilmiah
Publisher : Teknik Elektro Politeknik Negeri Padang

The final goal of restoration is image improvement. In general, restoration to degradation modeling and implementation of invers process to get real image. Hopefield method in neural network restoration of image is done by parameters approximation in neural network modeling and reconstruction of degradation image to get real image. In this paper, this method is used image restoration which combines with Gaussian Blur, Uniform Blur and Gaussian Noise. The restoration process using this method take place really fast and suitable to defects restoration of recorder device which recognize the cause of defects and high process speed is needed.

Implementasi Pengolahan Citra Untuk Identifikasi Daun Tanaman Obat Menggunakan Levenberg-Marquardt Backpropagation Atsilfia Alfath Syam; Silfia Rifka; Siska Aulia
Elektron : Jurnal Ilmiah Volume 13 Nomor 1 Tahun 2021
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.176

Digital Image processing implementation can be applied to identify medicinal leaves, because it can help the elderly and people with color-blindness in identifying medicinal leave to be consumed and in avoiding reading errors, since some leaves have similar shape and color . In this discussion, the feature-extractions are using color and shape features, and using Levenberg-Marquardt for pattern recognition algorithm. The success of this medicinal plant identification system resulted in fairly good accuracy. The backpropagation network architecture used two hidden layers with 10 and 5 neurons. Data training is using 60 training leaf images with 15 images each of 5 types: green betel leaf, red betel, soursop, castor and aloe vera. Then, offline testing is using 20 test images for each of 4 images from 5 types with the accuracy of 85%. Meanwhile the online (realtime) test is using 20 times for each leaf types so the accuracy is 88%.

Optimalisasi Capaian Pembelajaran Matakuliah Berbasis Pemrograman Melalui Media E-Learning Ratna Dewi; Silfia Rifka; Rikki Vitria; Uzma Septima; Ramiati Ramiati
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 18, No 1 (2020): Desember 2020
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v18i1.11628

Pandemik Covid-19 yang dialami seluruh dunia saat ini termasuk Indonesia, memaksa pembelajaran dilakukan secara daring atau e-learning termasuk pada Politeknik Negeri Padang. Dengan kendala yang ada pada mahasiswa sebagai peserta didik dalam sistem pembelajaran ini yaitu kendala dalam mengakses sistem melalui jaringan internet dan belum semua mahasiswa memiliki perangkat komputer yang dibutuhkan dalam mengaplikasikan matakuliah berbasis pemrograman. Agar capaian pembelajaran tetap bisa dicapai secara optimal maka dalam penelitian ini dibuat web untuk sistem pembelajaran daring atau e-learning. Dari hasil penggunaan web ini 82,9 % mahasiswa memahami materi yang ditayangkan dalam web tersebut dan sebagain besar mahasiswa menginginkan materi dalam bentuk video offline sehingga dapat digunakan setiap saat.

Coronavirus: Buku Edukasi Visual Untuk Anak-Anak Usia Sekolah Dasar Ihsan Lumasa Rimra; Riza Widia; Wiwik Wiharti; Efrizon Efrizon; Zas Ressy Aidha; Silfia Rifka; Amelia Yolanda; Randy Heriyanto; Dedi Kurniadi
Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Vol 2 No 2 (2020)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.44 KB)

Kegiatan pengabdian pada masyarakat COVID19 dengan judul “Coronavirus: Buku Edukasi Visual Untuk Anak-Anak Usia Sekolah Dasar” ini bertujuan untuk memberikan pengetahuan dan pemahaman mengenai COVID19 kepada anak-anak dalam rentang umur sekolah dasar yaitu antara 6 tahun sampai dengan 12 tahun dengan harapan dapat memberikan suatu perbaikan tata nilai bagaimana anak-anak menyikapi dan bertindak agar tidak terpapar COVID19 tersebut dan memutus mata rantai penyebaran COVID19. Buku edukasi visual ini dipaparkan sesuai dengan pola perkembangan otak dan pola berpikir anak-anak dalam usia sekolah dasar sehingga isi yang terkandung dalam buku edukasi visual tersebut dapat tersampaikan secara maksimal kepada anak-anak.Pendekatan dalam memberikan dan penyampaian pemahaman kepada anak-anak perlu disesuaikan dalam bentuk visual karena anak-anak akan lebih paham dengan pendekatan ini. Buku edukasi visual ini disebarkan utamanya kepada anak-anak yang berada dalam daerah, kecamatan, kelurahan, lokasi zona merah penyebaran COVID19 yang terbesar dan tertinggi di Kota Padang.Kasus anak-anak terjangkit COVID19 di Kota Padang tidak menunjukkan perkembangan yang signifikan karena telah terjadi perubahan sikap anak-anak menghadapi COVID19 ini.

Web Service Menggunakan Internet Protocol versi 6 (IPv6) Bagi Siswa Program Keahlian Teknik Komputer Dan Jaringan SMKN 1 Gunung Talang Ihsan Lumasa Rimra; Aprinal Adila Asril; Silfia Rifka; Wiwik Wiharti; Ikhram Hidayatullah
Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Vol 4 No 2 (2022)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Kegiatan ini bertujuan memberikan pemahaman dan keterampilan praktis bagi siswa terkait penggunaan IPv6 sebagai format pengalamatan masa depan untuk Internet. IPv6 dengan lebar alamat yang lebih besar, akan menggantikan fungsi pengalamatan IPv4 yang ketersediannya sudah habis. Setiap perangkat berbasis komputer yang terhubung ke Internet harus memiliki identitas berupa IP address. IP address awal yang digunakan adalah format IPv4 dengan kombinasi 232 bit. IPv4 tidak lagi mampu mengakomodir perkembangan Internet yang sangat pesat, sehingga IPv6 dengan kombinasi 2128 dibutuhkan menjawab tantangan tersebut. Menyikapi revolusi industri 4.0 yang menjadikan Internet sebagai basis teknologinya dan program pemerintah dalam mewujudkan transformasi digital, maka sudah saatnya bahwa Indonesia harus mampu beradaptasi dalam penggunaan IPv6. Saat ini, kebutuhan tenaga terampil bidang TIK khususnya IPv6 sangat dibutuhkan. Siswa SMK pada bidang keahlian TIK berpotensi menjadi ujung tombak yang kompeten untuk membangun Indonesia dalam rangka mencapai misi tersebut.Menjadi peluang bagi PNP memberikan keterampilan dan pengetahuan praktis mengenai IPv6 yang baik sehingga lulusan SMK bidang keahlian TKJ memiliki kompetensi utama dalam menjawab tantangan tersebut. Pengujian IPv6 ini diterapkan pada layanan web. Setelah kegiatan pengabdian diharapkan para siswa TKJ SMKN 1 Gunung Talang dapat memahami, mengkonfigurasi dan menguji IPv6 serta memperhatikan faktor-faktor terkait IPv6. Kegiatan ini dimulai dengan perancangan dan pembuatan perangkat web server, konfigurasi web server dan pengujian melalui komputer klien dengan format pengalamatan yang sama yaitu IPv6.

Penerapan Embedded System pada Sistem Pintar Pengendali Multi Perangkat dalam Kelas berbasis Intel Galileo dan Web Silfia Rifka; Firdaus Firdaus; Waldito Febri Ramadhan
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Smart systems are widely used in smart building, smart home, smart car, smart class, and others. The smart system in this paper is the result of research, exploit module microcontroller Intel Galileo technology and the Internet of Things (IoT) as a controller, which controlled devices connected to the system remote control from a web-based accessible via smart devices (smartphones, tablets, and laptops). Intel Galileo is a microcontroller module that combines a mini computer and Arduino is open source and supports IOT technology and the web. Web selection as a remote control in this research to facilitate system users to be able to control the system remotely by using the existing browsers on smart devices although the operating system is different. The devices controlled in this system are the LED (on-off automatically and setting the intensity of light), air conditioning (on-off automatically, temperature settings), a projector (on-off), and the IP camera (moved up, down, left and right) to monitor the room. All controlled embedded devices to facilitate the control and effective use of smart controllers resulting in a centralized system for multi-devices in the classroom to realize the smart class.

Penerapan Embedded System pada Sistem Pintar Pengendali Multi Perangkat dalam Kelas berbasis Intel Galileo dan Web Silfia Rifka; Firdaus Firdaus; Waldito Febri Ramadhan
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v14i1.9790

Smart systems are widely used in smart building, smart home, smart car, smart class, and others. The smart system in this paper is the result of research, exploit module microcontroller Intel Galileo technology and the Internet of Things (IoT) as a controller, which controlled devices connected to the system remote control from a web-based accessible via smart devices (smartphones, tablets, and laptops). Intel Galileo is a microcontroller module that combines a mini computer and Arduino is open source and supports IOT technology and the web. Web selection as a remote control in this research to facilitate system users to be able to control the system remotely by using the existing browsers on smart devices although the operating system is different. The devices controlled in this system are the LED (on-off automatically and setting the intensity of light), air conditioning (on-off automatically, temperature settings), a projector (on-off), and the IP camera (moved up, down, left and right) to monitor the room. All controlled embedded devices to facilitate the control and effective use of smart controllers resulting in a centralized system for multi-devices in the classroom to realize the smart class.

Installation and Activation of Fiber To The Home (FTTH) Networks and Macrobending Problems in the Feeder Cable Segment Yustini; Aprinal Adila Asril; Herry Setiawan; Popy Maria; Silfia Rifka
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2967

Macrobending is a form of disturbance in Fiber To The Home (FTTH) networks that occurs due to macro-level bending of the cable caused by damage to the fiber optic. Macrobending frequently occurs in FTTH networks within the feeder cables. Feeder cables serve as connectors between the Optical Line Terminal (OLT) and Optical Distribution Cabinet (ODC) in the FTTH system. The occurrence of macrobending in feeder cables affects the quality of the FTTH network. In this study, the impact of macrobending is analyzed based on curvature diameters of 50 cm, 25 cm, and 5 cm on feeder cables before and after FTTH network activation. Before FTTH network activation, the High Super Luminescent Diode (HSL) is used as the input power source, whereas after activation, the input power source comes from the OLT using Small Form-factor Pluggable (SFP) modules. The attenuation (loss) before activation due to macrobending, with curvature diameters of 50 cm, 25 cm, and 5 cm, is found to be 0.02 dB, 0.05 dB, and 0.26 dB, respectively. After activation, the attenuation with the same curvature diameters is measured as 0.01 dB, 0.02 dB, and 0.20 dB, respectively. It is observed that as the curvature diameter decreases, the attenuation increases. The comparison of attenuation before and after network activation doesn't show a significant difference because the input power doesn't affect macrobending, rather it is influenced by the curvature diameter.

IoT-Based Rainfall Monitoring System for Chili Farming Land Rahmadani Putri; Ratna Dewi; Silfia Rifka; Sri Nita; Andi Ahmad Dahlan
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3649

This research focuses on the design and implementation of a rainfall monitoring system for chili pepper farms using Internet of Things (IoT) technology. The rainfall monitoring system consists of a transmitter system, a receiver system, the Thingspeak platform as a database, and a weather station application that can be accessed via a mobile device. The weather station application is built using the MIT App Inventor platform. In the testing phase, the system successfully collected data from two sensors used, namely the rainfall intensity sensor and the raindrop sensor. The test results showed that the data obtained from the rainfall intensity sensor was 0.25 inches and the raindrop sensor was 1. This result shows that there was no rain during the test. This rain intensity and raindrop data can provide farmers with an overview of the weather conditions in the chili pepper farm. So, with this rainfall monitoring system, farmers can monitor the condition of their agricultural land in real-time. The collected data can help farmers to care for chili pepper plants more effectively and adapt to environmental changes. In addition, this system is expected to increase the productivity of chili pepper farming because it uses a more precise and responsive approach to changes in environmental conditions on the chili pepper farm.

Pemanfaatan Yolo Untuk Deteksi Hama Dan Penyakit Pada Daun Cabai Menggunakan Metode Deep Learning Yasen, Nadini Mardiah; Rifka, Silfia; Vitria, Rikki; Yulindon, Yulindon
Elektron : Jurnal Ilmiah Volume 15 Nomor 2 Tahun 2023
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.397

Chili plants are one of the horticultural crops in Indonesia which have great potential in the Indonesian economy. However, crop failure often occurs. One of the main factors causing this is pest and disease attacks on chili plants. This requires early prevention which can reduce losses. With today's technological developments, prevention can be done easily and economically by using deep learning methods. YOLO is a deep learning algorithm that is commonly used to detect objects in real time. There are 4 classes that will be tested, namely leaves affected by yellow virus disease, leaf spot, thrips pests, and healthy chili leaves. Testing was carried out with a web-based application created with the flask framework. The accuracy results of the YOLO model training process with epoch 150 were 73%. The precision, recall and mAP values obtained were 77.4%, 67.1% and 75.1%. Testing produces accuracy above 74%. The results of this research still produce accuracy that is not high enough, but the application can be used to detect it well and is quite accurate.

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