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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional Teknika Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Pengabdian UntukMu NegeRI INOVTEK Polbeng - Seri Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI TESLA: Jurnal Teknik Elektro Indonesian Review of Physics (IRiP) International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Unri Conference Series: Community Engagement Jurnal PkM (Pengabdian kepada Masyarakat) Journal of Community Engagement Research for Sustainability Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Informatics and Enginering Dedication Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Makara Journal of Technology Publikasi Hasil Pengabdian Kepada Masyarakat. Jurnal Informatika: Jurnal Pengembangan IT BATOBO: Jurnal Pengabdian Kepada Masyarakat PADIMAS: Jurnal Pengabdian Masyarakat CSRID
Noveri Lysbetti M
Universitas Riau
Religion Aerospace Engineering Arts Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pemantauan Jaringan Menggunakan Aplikasi The Dude Reski Lasari; Noveri Lysbetti Marpaung
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Network monitoring is an important activity carried out in monitoring any changes that occur, determine whether each device is connected to the network. The risk of damage and network disruption increases, the network admin must always monitor the entire network system in real time. Monitoring system assist the admin in monitoring the network system that are installed. The Dude also allows for monitoring services that run on each network host, and give a warning on any status changes. As changes the device from UP to Down or Down to Up, that notifications via telegram. The application is used to monitor the network, the notification system will provide the latest information about the condition of the device that has been detected and read The Dude Application that has been set and installed in the Bung Application through the Telegram Application. Test show that all devices connected the network have been detected and read application The Dude, the device is dead, damaged and disconnected, the connection is marked by ping that experience time-out then the device will go down, in that condition the notification will send messages automatically the admin via Telegram media that contains information about the condition the device. The notification system the form of Telegram the admin to know the condition the device without having to see it in real time so as to provide work effectiv for the admin. Keywords : Monitoring, Notification, The Dude Application, Telegram Application.
Penerapan Uji Tahanan Tanah Dengan Metode Geolistrik Untuk Mendapatkan Peta Resistivitas Tanah Di Padang Panjang – Sumatera Barat Amirul Latief Azzmi; Edy Ervianto; Noveri Lysbetti Marpaung
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Research on the application of the soil resistance test using the Geoelectric method was carried out on a public road near the white bridge of Silaing Bawah Village, Padang Panjang City, West Sumatra. Research with the Geoelectric method aims to obtain a soil resistivity map to provide information about soil and rock resistivity in the underground layers that can be analyzed in the field of Earth science. To find out the difference in resistivity of each soil layer, a 2D visual section in the form of color visuals is displayed using Res2Dinv software using the Dipole-dipole configuration. On the first track of ground resistivity map, the resistivity value A <4.655 Ωm - H> 635.5 Ωm and on the second track of ground resistivity map, the resistivity value of A <8.345 8.3m - H> 359 Ωm.Keywords: Dipole-dipole configuration, Geoelectric, Map of soil resistivity.
Sistem Informasi Pengarsipan Surat Masuk Dan Surat Keluar Berbasis Website Dan Whatsapp Gateway Di LPP RRI Pekanbaru Ayunda Widia Kusuma; Noveri Lysbetti Marpaung
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

In processing data on incoming and outgoing letters in LPP RRI Pekanbaru conducted by the secretary still has shortcomings namely the incoming and outgoing mail files have not been well organized. Inefficient in the process of searching for incoming and outgoing mail files, the secretary has to search one by one the letters stored in the folder, not to mention that the file is missing or scattered then it will take a long time to find the file. The purpose of this research is to create a web-based incoming and outgoing mail archiving information system and whatsapp gateway in LPP RRI Pekanbaru so that it can streamline the time in searching, data collection and making reports of incoming and outgoing letters. The programming language used in Information System Design is PHP Hypertext Preprocessor (PHP), Hypertext Markup Language (HTML), Javascript, and My Structured Query Language (MYSQL). While the system development method used is the Waterfall method. The results of the test based on the Likert calculation formula are as expected. And the Presentation Accuracy of the Questionnaire is 82.5, so the system is very amenable to use. The conclusion of this research is that it can facilitate the processing of letter data, the process of making reports, and facilitate the process of finding data.Keyword : Information System, Incoming Letters, Outgoing Letters, Disposition
Rancang Bangun Aplikasi Bon Permintaan Dan Pengeluaran Barang Menggunakan Metode Prototype Berbasis Website Aielsa Naomi Athaya; Noveri Lysbetti Marpaung
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.5220

Abstract

Goods purchase requisitions and goods issue documents are receipts for purchase requisitions and goods issues for distribution goods from the unit of work to the warehouse. pt. Perkebunan Nusantara V still uses the manual method of registering and approving the Goods Request Form using a form filled out by a factory assistant and signed by multiple parties. Therefore, it takes 5-30 business days to collect all signatures. If all parties are present, the product request notification can be signed and approved immediately. However, if this is not the case, the bill of goods approval process will be delayed. For this reason, urgent needs often result in goods being released from the warehouse before the invoice has been fully approved. Therefore, there is a need for an application that helps companies manage good purchase requisitions from warehouses. The application is implemented as a website that allows users to approve notes step-by-step online. The prototyping method allows developers to design and build systems more efficiently because discussions take place between users and developers during the system development process. PHP Laravel is used as programming language and MySQL as database. The tests for this application are based on the ISO 9126 test standard and give the following results: According to the USE survey, functionality scored 100%, reliability scored A, usability scored 90.07 across the four factors, efficiency scored B, performance score 88%, The structural score was 87%. Maintainability was evaluated as A grade with a debt ratio of 2.6%, and portability was evaluated as 100%. This application reduced the approval time to less than 5 hours and test results showed that the application works well and is suitable for enterprise use
Pengenalan Alfabet SIBI Menggunakan Convolutional Neural Network sebagai Media Pembelajaran Bagi Masyarakat Umum Zahrah Fadhilah; Noveri Lysbetti Marpaung
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.5221

Abstract

SIBI is one of the Sign Languages used in Indonesia and has been widely used in the community, especially the school (SLB). Communication limitations of the deaf and speech community cause limited communication with the general public, especially many general public who do not know Sign Language or SIBI. For this reason, this research was conducted in order to become a learning media for the general public in recognizing the SIBI alphabet so that it can support communication with the deaf and speech community. This research was conducted to become a medium that can be used as a learning medium in the introduction of the SIBI alphabet. The method used in this research is CNN. CNN is used because it is a deep learning method that has the most significant results in image recognition. The data used is 2,600 images which are divided into 80% training data and 20% validation data. Training was done ten times by comparing the parameters that produce the best accuracy. The parameters used are batch size and epoch. From ten trials, the best accuracy is obtained using batch size 8 and epoch 50. The best accuracy produced is 85% training accuracy and 87% validation accuracy.
Deep Learning untuk Identifikasi Daun Tanaman Obat Menggunakan Transfer Learning MobileNetV2 Rio Juan Hendri Butar-Butar; Noveri Lysbetti Marpaung
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.5217

Abstract

Medicinal plants are plants used as alternative medicines for healing or preventing various diseases due to their active substances. The utilization of medicinal plants in Indonesia has been widespread among the community since ancient times and is a heritage passed down from ancestors. Medicinal plants have leaf structures that are almost similar between one plant and another, which can lead to confusion for some people and require precision in identifying the leaves of medicinal plants. Incorrect identification can have negative consequences for the users. In recent years, deep learning has been used to identify objects because of its ability to interpret images. This study used a transfer learning method to identify medicinal plants. Transfer learning utilizes a pre-trained model to learn and perform new tasks, making it suitable for smaller datasets. The pre-trained model used in this study is MobileNetV2. MobileNetV2 has a lightweight architecture and high accuracy. Fine-tuning techniques were applied in this study to improve the model's performance. Several experiments were conducted with parameters such as epochs and fine-tuning layers to obtain the best results. The research yielded a training accuracy of 97%, validation accuracy of 96%, and testing accuracy of 93%.
Klasifikasi Jamur Berdasarkan Genus Dengan Menggunakan Metode CNN Ummi Sri Rahmadhani; Noveri Lysbetti Marpaung
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.5229

Abstract

Mushrooms are plants that do not have true roots and leaves. There are many types of mushrooms that have been identified worldwide, with various shapes, sizes, and colors. Mushrooms have many benefits in the fields of economy, health, and others. One of the benefits of mushrooms is as a food source in Indonesia, but not all types can be consumed. To identify mushroom species, the concepts of Genus and species can be used. The concept of Genus is considered easier because it groups mushroom types based on similar morphological characteristics. Therefore, a model is needed to classify mushrooms based on consumable and toxic genera. The method used in this research is Convolution Neural Network (CNN) due to its good predictive results in image recognition. The model in the research utilizes three convolution layers, three MaxPooling layers, and two dropout layers. The use of dropout aims to reduce overfitting in the model. The research uses a dataset of 1200 images with a training and testing data ratio of 70:30, resulting in 840 training data and 360 testing data. The best accuracy achieved by this model is 89% for training and 82% for validation. Therefore, it can be concluded that the model is able to classify mushrooms based on Genus using the CNN method
Pencegahan Kegagalan Produksi Ikan Bilis Asam Masyarakat Nelayan Akibat Musim Hujan Di Desa Bunsur Apit Kabupaten Siak Rahyul Amri; Noveri Lysbetti Marpaung; Edy Ervianto; Nurhalim Nurhalim
BATOBO: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2023): BATOBO: Juni 2023
Publisher : Jurusan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/batobo.1.1.36-48

Abstract

Pengabdian kepada mayarakat ini dilaksanakan di Desa Bunsur Kecamatan Sungai Apit Kabupaten Siak Propinsi Riau dengan khalayak sasarannya masyarakat nelayan desa tersebut. Sektor pertanian dan nelayan merupakan profesi yang sangat dominan sebagai sumber kehidupan di desa ini. Berdasarkan informasi kepala desa, desa ini terkenal sebagai penghasil ikan Bilis Asam. Berdasarkan hasil survei harga jual ikan ini di Pasar Panam Kota Pekanbaru berkisar Rp. 125 ribu per kg. Harga ini menunjukkan nilai keekonomian yang tinggi dan sangat menjanjikan bagi kehidupan masyarakat nelayan di Desa Bunsur ini. Dari informasi para nelayan, pada musim hujan semua hasil tangkapan ikan ini tidak dapat dijual bahkan dibuang begitu saja karena membusuk akhibat tidak bisa dikeringkan karena tidak ada cahaya matahari. Keadaan ini dapat diatasi dengan membuat sebuah tempat pengeringan khusus dengan teknik rekayasa cahaya lampu dalam sebuah ruangan yang dirancang sedemikian rupa. Ruangan ini akan dapat menyelamatkan gagal produksi ikan Bilis Asam masyarakat nelayan di Desa Bunsur dengan demikian kehidupan mayarakat nelayan dapat lebih stabil di setiap musim, baik musim hujan maupun musim panas. Pengeringan ikan yang akan dirancang adalah tipe pengeringan mekanis dengan rekayasa cahaya lampu. Pengeringan ikan ini akan dibuat transparan yang dikelilingi akrilik bening dan tembus cahaya. Penjemuran tembus cahaya ini bertujuan agar di musim panas masyarakat juga tetap menggunakan penjemuran ini.  Penjemuran ini akan dipasang sensor sehingga pada saat hujan atau panas pengeringan tetap berfungsi dengan baik dan otomatis. Sistem ini dirancang agar nelayan tidak perlu kuatir ikannya terkena hujan atau tidak kena panas karena sudah beroperasi secara otomatis
Implementasi Deep learning untuk Identifikasi Daun Tanaman Obat Menggunakan Metode Transfer learning Noveri Lysbetti Marpaung; Rio Juan Hendri Butar Butar; Sakti Hutabarat
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 3 (2023): Volume 9 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i3.63895

Abstract

Tanaman obat adalah tanaman yang memiliki khasiat untuk digunakan sebagai obat penyembuhan atau pencegahan berbagai penyakit. Pemanfaatan tanaman obat di Indonesia sudah sangat umum dilakukan oleh masyarakat sejak zaman dahulu. Pengetahuan tentang tanaman obat juga diwariskan oleh nenek moyang sejak dulu. Tanaman obat memiliki bentuk daun yang hampir serupa antara satu tanaman dengan tanaman lainnya, terutama dari bentuk morfologi daun. Hal ini membuat beberapa masyarakat memiliki kekeliruan dalam mengidentifikasi daun tanaman obat. Dalam beberapa dekade terakhir, deep learning telah menjadi metode yang populer untuk mengidentifikasi objek. Deep learning memiliki kemampuan untuk dapat mengidentifikasi objek dengan tepat, sehingga sangat cocok digunakan untuk mengidentifikasi daun tanaman obat. Pada penelitian ini, metode transfer learning digunakan untuk mengidentifikasi tanaman obat. Transfer learning menggunakan model yang telah dilatih sebelumnya, sehingga dapat digunakan untuk data yang lebih sedikit dan memiliki waktu komputasi yang relatif lebih cepat. Pretrained model yang digunakan pada penelitian ini adalah MobileNetV2. Pada penelitian ini, teknik fine tune diterapkan untuk meningkatkan performa model. Beberapa percobaan dilakukan dengan parameter yang berbeda seperti epoch dan layer fine tune untuk mendapatkan hasil terbaik. Hasil penelitian ini mendapatkan akurasi 99% untuk training, 98% untuk validasi, dan 94% untuk pengujian.
Diagnosa Stunting Pada Balita Menggunakan Metode Naive Bayes Untuk Sistem Pakar Hygiana Prima Desty; Noveri Lysbetti Marpaung
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.107-123

Abstract

Stunting is a chronic nutritional problem that impacts intelligence, productivity, and susceptibility to diseases in toddlers. According to the 2022 Indonesia Nutritional Status Survey (SSGI), the prevalence of stunting in Indonesia reached 21.6%. In line with the Indonesian government's efforts to reduce the prevalence of stunting to 14% by 2024, as per Presidential Regulation No. 72 of 2021, early detection and proper treatment of stunted children are essential. This study implements the Naïve Bayes method to predict the nutritional status of toddlers using parameters such as age, weight, height, head circumference, and upper arm circumference. The expert system is designed to integrate expert knowledge into a computer, assisting healthcare professionals in quickly and accurately diagnosing stunting and enhancing parental education on stunting, particularly at the study site in Puskesmas Pembantu Alam Raya, Pekanbaru City. Data collected directly from the study site comprised 340 records, with 238 training data and 102 testing data. The test results using a confusion matrix table showed a precision value of 50%, recall 50%, error rate 3.9%, and accuracy of 97.05%. The system is built using PHP, the CodeIgniter framework, and MySQL as the database. The implementation of the expert system using the Naïve Bayes method in this study is expected to aid in making accurate policies for the prevention and management of stunting in toddlers.
Co-Authors Abu Yazid Raisal, Abu Yazid Afrianti, Dedeh Kurnia Aielsa Naomi Athaya Akbar Hanafi Siregar Albert Timbul Siregar Ali, Nurhalim Dani Alwi, Rangga Aminuyati Amirul Latief Azzmi Amzah, Ridho Al Andhi, Rahmat Rizal Anhar Anhar Anhar Anisa Lutfia Antonius Rajagukguk Antonius Rajagukguk Antonius Rajagukguk, Antonius Ayunda Widia Kusuma Azwir Rezari Celfin Chandro Nainggolan Siahaan Dani Ali, Nurhalim Daniati, Septania Dedy Nurahmadin Demiza, Khosfikra Desty, Hygiana Prima Dewi Fitri Novita Pasaribu Dian Yayan Sukma, Dian Yayan Dwi Nur Indah Sari, Dwi Nur Indah Edy Ervianto Eka Novvala Dewi Eko Marjan Elfrida Nova Sartika Elirza Halena Elizabeth, Ivena Era Yohana Oktaviani Silalahi Esther Joan Ruthmika Sianturi Fadli Julianto Erga Fahmi, Ziddan Fakhriyah, Salsabila Febrizal Ujang Feranita Feranita Ferdian, Fhinta Syahila Feri Candra Fiki Sanora Firdaus Firdaus Fitria Sari Guspi Candra Hadiwandra, T Yudi Hassan, Rohana Henti Nuraini Napitupulu Hygiana Prima Desty Ibrahim, Sajid Illahi, Hayatul Izzi, Mambaul Jelita Mianarta Rajagukguk Jesslin Halim Kelvin Rainey Salim Mahindra, Syaputra Dwi Mar Qosim Marbun, Andreas Marlina Octa Venita Gultom Marsaulina Marpaung Maulana, Farhan Muhammad Ilham Muhammad, Satyo Mulia Sakti Rambe, Mulia Sakti Nofri Afandi Noviana, Eka Rani Nuraini, Dwi Nur Indah Sari Nurhalim Dani Ali Nurhalim Nurhalim Nurhalim Nurhalim, Nurhalim Nursaldila Nursaldila Nurul Whusto Octavia, Bunga Okpi Pranata Reskha Okta Rivaldi Padang, Junelka Lisendra Pratama, Muhammad Yogi Purnomo, Karin Dwi Putri, Katya Blinda R., Antonius Rahyul Amri Raja Hizkia Hutabalian Ramadhan, Ashry Ramadhan, Riyan Putra Ramadhan, Roza Syahputra Rani Fitri Arya Ningsi Raudah, Aulia Reski Lasari Ridho Al Amzah Rio Juan Hendri Butar Butar Rio Juan Hendri Butar-Butar Rizka Dwi Saputri Rosiki, Muhammad Habib Rosma, Iswadi Hasyim Sakti Hutabarat Sakti Hutabarat Sakti Hutabarat Salhazan Nasution Saputra, Muhammad Hakim Saputri, Rizka Dwi Septiyandi Kurniawan Settian Dwi Cahaya Siagian , Ruben Cornelius Siregar, Vivi Devina Siti Zubaidah Sofinanda Sari Solly Aryza Surya Sahri Ramadhan Suwitno Taruli Devi Sihombing Ummi Sri Rahmadhani Vadri, Yasminne R.A.S Valendino, Muhammad Wakhidah Rohayati Wijaya, Puri Yasminne R.A.S Vadri Yoga Pratama Yohanes, Edwin Yudha Hadi Martha Zahrah Fadhilah