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All Journal Jurnal Pilar Sains JURNAL SISTEM INFORMASI Jurnas Nasional Teknologi dan Sistem Informasi Annual Research Seminar RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Komputer Terapan BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Nasional Komputasi dan Teknologi Informasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Informasi dan Teknologi Jurnal Pengabdian Masyarakat Multidisiplin Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Alkhidmah: Jurnal Pengabdian dan Kemitraan Masyarakat

Roni Salambue

Program Studi Sistem Informasi, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Riau

Author-ID : 2760782

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry 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 Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Implementasi Jaringan Syaraf Tiruan dan Pengolahan Citra untuk Identifikasi Jenis Karang Salambue, Roni
Jurnal Pilar Sains Vol 5, No 01 (2006)
Publisher : Jurnal Pilar Sains

Show Abstract | Download Original | Original Source | Check in Google Scholar

The research is using the implementation of artificial neural network (ANN) to identify the type of coral from digitalimage. An ANN is an information-processing system that has certain performance characteristics in cnmon withbiological neural networks. ANN have been developed as general izatons of mathematical models of neural biology,input to ANN are color and shape information from image. For the extraction of the information, the methods ofimage processing is used which are RGB and HSV color model and moment invarian for shape.

PERANCANGAN ALAT PENGUKUR TINGGI BADAN DIGITAL DENGAN METODE SONAR Roni Salambue
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 1 No 1 (2016): Januari 2016
Publisher : LPPM Universitas Abdurrab

Sonar adalah singkatan dari (sound of ranging) yang berarti teknik penyebaran bunyi untuk navigasi dan berkomunikasi atau mendeteksi kapal-kapal lain. Sonar dapat diterapkan untuk mengukur jarak suatu objek dengan cara memantulkan gelombang ultrasonik ke objek dan kemudian ditangkap melalui reciver. Gelombang ultrasonik tersebut dipantulkan oleh sensor SR04 dan menggunakan arduino uno sebagai mikrokontroler tempat pemrosesan perhitungan jaraknya. LCD digunakan untuk menampikan hasil pengukuran supaya lenih mudah dalam mengambil hasil ukuran tinggi badan. Arduino merupakan perangkat yang dapat diprogram dan dikoneksikan langsung dengan sebuah sensor ultrasonik yang digunakan untuk pengukuran. Sensor ultrasonic diletakkan diatas tiang setinggi 200 cm, dan jarak 200 cm tersebut digunakan sebagai patokan pengukuran. Pengukuran menggunakan manual dan digital dapat berjalan dengan baik, tetapi menggunakan digital tingkat kecepatan pengukuran lebih baik dibandingpengukuran menggunakan manual.

Akurasi dalam Mengidentifikasi Citra Anggrek Menggunakan Backpropagation Artificial Neural Network Ardia Ovidius; Gunadi Widi Nurcahyo; Sumijan; Roni Salambue
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.115

Orchids are ornamental flower plants in the Family Orchidaceae whose habitat is spread over almost all continents in the world, except Antarctica. There are so many orchid enthusiasts in Indonesia and this fact made orchids a promising commodity for ornamental plant cultivator. With a variety of orchid species that reach more than 25,000 species, the identification of orchid species becomes a little complicated for orchid lovers. The purpose of this study was to determine the accuracy level of orchid species identification through image recognition so that it can be used as a reference in determining the feasibility of this method. This study used 120 images of orchids in 6 species. The image of the orchid was obtained by shooting at several locations using the camera. The photo is then processed using image processing software by cropping and resizing to speed up computing time during network training. Furthermore, MatLab software is used to perform the feature extraction process in the form of color feature data and moment invariants. Data from feature extraction is used as input for training artificial neural networks using the Back Propagation method. Calculation of the level of accuracy done by testing the network using the test data that has been provided. The trial results show that 26 of 30 were successfully recognized so that the accuracy rate can be calculated, namely 86.7%. An accuracy rate of 86.7% can be considered feasible and can be used as a basis for consideration of using this tested method as the right method for identifying orchids through images.

Sistem Informasi Geografis Menggunakan Multi Criteria Evaluation Untuk Zonasi Wisata Bahari Pantai Rupat Roni Salambue; Nurdin .; Rangga Putra Pratama; Benny Putra
Jurnal Nasional Teknologi dan Sistem Informasi Vol 2, No 3 (2016): Desember 2016
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v2i3.2016.167-174

Pantai Rupat telah ditetapkan sebagai kawasan pariwisata oleh Pemda Kabupaten Bengkalis. Kebijakan strategis Pemda dalam mendukung Pantai Rupat sebagai destinasi wisata bahari adalah dengan membangun infrastuktur akses jalan, dermaga pelabuhan ferry penyeberangan dan penginapan. Penelitian ini bertujuan untuk menentukan zonasi kawasan wisata bahari pada Pantai Rupat menggunakan Sistem Informasi Geografis (SIG). Metode yang digunakan adalah metode multi criteria evaluation untuk menganalisa kesesuaian kawasan. Hasil analisis menunjukkan kawasan Teluk Rhu, Tanjung Punak, Putri Sembilan dan Makeruh dikategorikan cukup sesuai sebagai zona wisata bahari pesisir pantai namun kawasan Sungai Cingam dikategorikan sebagai zona yang tidak sesuai. Untuk zona wisata bahari rekreasi pantai kawasan Teluk Rhu, Tanjung Punak dan Makeruh dikategorikan sebagai zona yang sesuai, kawasan Sungai Cingam dikategorikan sebagai zona yang cukup sesuai dan kawasan Putri Sembilan dikategorikan sebagai zona yang tidak sesuai

Penentuan Zona Wisata Bahari Pantai Rupat Utara Menggunakan Sistem Informasi Geografi Roni Salambue
Annual Research Seminar (ARS) Vol 2, No 1 (2016)
Publisher : Annual Research Seminar (ARS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

North Rupat beach has been designated as one of tourism areas by the district of Bengkalis. Some strategic policies used in supporting Rupat beach as a marine tourism destination are building infrastructure access roads, harbors, crossing ferry and accomodation. This research aims to determine the marine tourism zoning at North Rupat Beach using Geographic Information System (GIS). The methods used is Multi Criteria Evaluation of the suitability of the area in GIS. The analysis results showed that areas of Teluk Rhu, Tanjung Punak and Putri Sembilan were suitable enough for coastal marine tourism. The areas of Teluk Rhu and Tanjung Punak were suitable for recreation marine tourism beaches, while on the other hand Putri Sembilan was not.

Modeling of Control System on Sorting Palm Fruit Machine by Using Arduino Microcontroller Dodi Sofyan Arief; Edy Fitra; Minarni Minarni; Herman Herman; Roni Salambue
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 52 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (506.725 KB)

One of the reasons for the poor quality of palm oil in Indonesia is because of the separation system of processing method is processed manually. In this research, the proposed solution to overcome the problem is by applying the automatic separation system by using microcontroller. The maturity of the fruit will be determined from the image that taken by a camera. The reading of the camera image will be processed in a microcontroller which will move the separator arms so that the fruit will be separated based on the level of maturity. This system is designed to work continuously by placing the palm fruit over a conveyor belt mechanism. With this automation method, the separation process of fruit is no longer depends on the ability of humans manually and more importantly it can take place continuously.

IMPLEMENTASI POWER SEARCHING DENGAN SIMBOL MATEMATIKA UNTUK OPTIMALISASI HASIL PENCARIAN REFERENSI PADA SISWA SMKN II TALUK KUANTAN Diki Arisandi; Sukri sukri; salamun salamun; Roni Salambue
Jurnal Pengabdian Masyarakat Multidisiplin Vol 1 No 1 (2017): Oktober
Publisher : LPPM Universitas Abdurrab

Access to information from the internet is become the thing that is needed by almost all society, and also the student of SMK N II Taluk Kuantan. In this community service, the material that has been given is about how the search results obtained to be more effective by using power searching. Power searching delivered to students of SMK N II Taluk Kuantan is by inserting mathematical symbols on the keywords entered into the search engine on the internet. In addition, the material also discussed about more specific search by combining mathematical symbols, host names and file types to search. The method In this community service was giving the material and demo about how the implementation of power searching on search engines. After this activity is implemented, the community service team evaluates the material that has been given before. The result was the students in SMK N II Taluk Kuantan can implement power searching well.\

PENGEMBANGAN DAYA TARIK OBJEK WISATA TELUK JERING KECAMATAN TAMBANG KABUPATEN KAMPAR Roni Salambue; Fatayat Fatayat; Evfi Mahdiyah; Yanti Andriyani
Jurnal Pengabdian Masyarakat Multidisiplin Vol 3 No 2 (2020): Februari
Publisher : LPPM Universitas Abdurrab

One tour that can support the regional economy found in Kampar Regency is Teluk Jering which is located in Dusun III in Teluk Kenidai Village, Tambang District, Kampar Regency. The location is also called Pantai Cinta because the sand on the edge of the river has white sand and clean beach. Many residents who came from Pekanbaru and other areas deliberately visited Teluk Jering. The development is carried out by making road directions to the location of attractions, gates, photo spots, information signs, the website of the Teluk Jering village and promotion and publication on social media. The development and tourism of Teluk Jering will have an impact on the arrival of visitors to the Teluk Jering tourist attraction will increase the income of the people of Teluk Jering Village. The tourism sector is a potential sector to be developed as a source of regional income. The development of tourism depends on the visits that come to visit the place. The increase in the number of visits that occur is a reflection of the continued development of tourism, to maintain and increase the number of tourist visits

Analisis Sentimen Komentar Di YouTube Tentang Ceramah Ustadz Abdul Somad Menggunakan Algoritma Naïve Bayes Habibi Al Rasyid Harpizon; Rahmad Kurniawan; Iwan Iskandar; Roni Salambue; Elvia Budianita; Fadhilah Syafria
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 1 (2022): Februari 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i1.4008

Abstrak - Sosial media tidak hanya digunakan oleh masyarakat Indonesia untuk hiburan, tetapi juga sebagai media edukasi. Youtube merupakan salah satu media sosial yang terkenal di Indonesia dengan 93,8% pengguna. Youtube juga dimanfaatkan sebagai media Dakwah seperti yang dilakukan oleh Ustadz Abdul Somad. Ustadz Abdul Somad merupakan ulama yang berpengaruh di Indonesia. Beliau sering mengunggah video yang membahas berbagai jenis persoalan agama khususnya pada bidang hadist dan fiqih. Pengguna Youtube dapat memberikan feedback berupa like, dislike dan komentar terhadap video yang ditayangkan. Feedback diperlukan oleh pembuat konten di Youtube untuk melihat tanggapan pengguna. Analisa secara manual sulit dilakukan karena jumlah data yang besar. Oleh karena itu, penelitian ini bertujuan untuk menganalisis sentimen masyarakat terhadap Ustadz Abdul Somad melalui komentar youtube menggunakan algoritma Naïve Bayes. Penelitian ini menggunakan 1000 komentar dari 10 video yang ada di Youtube mengenai Ustad Abdul Somad. Naïve Bayes merupakan algoritma yang sederhana, namun memiliki akurasi yang tinggi dan dapat digunakan pada data yang sedikit. Berdasarkan hasil penelitian, didapatkan sebanyak 67% berkomentar positif, 27% berkomentar netral dan 6% berkomentar negatif. Berdasarkan pengujian didapatkan akurasi sebesar 87%, presisi 91% dan recall 97%. Berdasarkan pengujian tersebut dapat disimpulkan bahwa penelitian ini dapat digunakan untuk hasil sentimen dengan cepat di Youtube.Kata kunci: Analisis Sentimen, Naïve Bayes, Ustadz Abdul Somad, Youtube Abstract - Indonesian people have been used Youtube for entertainment and as an education. As Indonesia's most popular social media, Youtube has 93.8% users. YouTube is also used as a medium of Da'wah, like Ustadz Abdul Somad. Ustadz Abdul Somad is an influential Preacher in Indonesia. He often uploads videos that lecture various types of religious issues, especially in the fields of hadith and fiqh. YouTube users can provide feedback in the form of likes, dislikes, and comments on videos that are shown. Creators need feedback on YouTube to see user feedback. Manual analysis is complicated because of the large amount of data. Therefore, this study aimed to analyze public sentiment towards Ustadz Abdul Somad through YouTube comments using the Naïve Bayes algorithm. This study obtained 1000 comments from 10 videos about Ustad Abdul Somad. Naïve Bayes is a simple algorithm with high accuracy and can be used on small data. Based on the results, it was found that 67% commented positively, 27% commented neutrally, and 6% commented negatively. Based on the experimental testing, the accuracy is 87%, precision is 91%, and recall is 97%. Based on these tests, it can be concluded that this research can be used for quick sentiment results on YouTube.Keywords: Sentiment Analysis, Naïve Bayes, Ustadz Abdul Somad, Youtube

Penerapan Algoritma Random Forest Untuk Analisis Sentimen Komentar Di YouTube Tentang Islamofobia Ibnu Afdhal; Rahmad Kurniawan; Iwan Iskandar; Roni Salambue; Elvia Budianita; Fadhilah Syafria
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 1 (2022): Februari 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i1.4004

Abstrak - Islamofobia adalah bentuk prasangka, intimidasi, kebencian dan ketakutan terhadap agama Islam dan orang Muslim. Stigma islamofobia muncul karena adanya suatu kejadian pengeboman atau teror lainnya yang dihubungkan dengan Islam. Komentar yang mengarah ke islamofobia banyak dijumpai pada media sosial youtube. Islamofobia di internet merupakan salah satu bentuk kekerasan verbal. Oleh karena itu, komentar pengguna terkait suatu kejadian pengeboman atau teror berpotensi untuk dianalisis sebagai bentuk kepedulian dalam mencegah kekerasan verbal. Tetapi analisis secara manual sulit dilakukan dan memerlukan waktu yang lama. Algoritma pada pembelajaran mesin dapat digunakan untuk melakukan analisa sentimen dengan cepat. Algoritma yang digunakan pada penelitian ini adalah random forest. Berdasarkan studi pustaka, algoritma random forest dapat menghasilkan ketepatan yang tinggi. Penelitian ini menggunakan 1000 data komentar di youtube berbahasa Indonesia terkait video yang menampilkan suatu kejadian pengeboman atau teror. Berdasarkan hasil analisis, terdapat 631 komentar positif dan 369 komentar negatif atau mengandung islamofobia. Berdasarkan eksperimen, algoritma random forest menghasilkan akurasi mencapai 79%. Algoritma random forest dianggap baik dalam melakukan klasifikasi sentimen dengan cepat.Kata kunci: analisis sentimen, islamofobia, random forest, youtube Abstract - Islamophobia is a form of prejudice, intimidation, hatred, and fear of Islam and Muslims. The stigma of Islamophobia arises because of bombing or other terror associated with Islam. Comments that lead to Islamophobia are often found on social media youtube. Islamophobia on the internet is a form of verbal violence. Therefore, user comments related to a bombing or terror incident have the potential to be analyzed as a form of concern in preventing verbal violence. However, manual analysis is difficult and takes a long time. Algorithms in machine learning can be used to perform sentiment analysis quickly. The algorithm used in this study is a random forest. The random forest algorithm can produce high accuracy based on the literature study. This study obtained 1000 comments data on youtube in Indonesian related to videos showing a bombing or terror incident. Based on the analysis results, there were 631 positive comments and 369 islamophobia i.e., negative comments. Based on experiments, the random forest algorithm produces an accuracy of 79%. The random forest algorithm is considered good in doing sentiment classification quickly.Keywords—islamophobia, random forest, sentiment analysis, Youtube

Co-Authors Ahriyati Ahriyati Aidil Fitriansyah Al Aminuddin Anna Kaswari Annisa Devia Rahman Ardia Ovidius Arisandi, Diki Benny Putra Bunga Ariski Cinta Fitria Dedes Nawati Dodi Sofyan Arief Edy Fitra Elfizar Elfizar Elvia Budianita Elvia Budianita Evan Albert Hubertus Samosir Evfi Mahdiyah Fadhilah Syafria Fadhilah Syafria Fara Pricyla Fatayat Felix Dwi Artha Pakpahan Gunadi Widi Nurcahyo Habibi Al Rasyid Harpizon Herman Herman Herol Govand Nesvagan Sigalingging Ibnu Afdhal Inggyu Muria Br. Hasibuan Ismi Sifa Adila Iwan Iskandar Iwan Iskandar M Abdullah Minarni Minarni Muhammad Izzudin Muhammad Yusuf Alen Musdalifah Musdalifah Nanda Nur Fitriadi Nurdin . Rahmad Kurniawan Rangga Putra Pratama Salamun Salamun Silvia Agusti Sri Nurhidayati Sukamto, Sukamto Sukri Sukri Sumijan Valentina Br. Pakpahan Yanti Andriyani Zikri Alhadi

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