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All Journal Teknika SITEKIN: Jurnal Sains, Teknologi dan Industri Scientific Journal of Informatics Paediatrica Indonesiana JTT (Jurnal Teknologi Terpadu) Jurnal CoreIT Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Informatika Universitas Pamulang Journal of Tropical Horticulture Jurnal Nasional Komputasi dan Teknologi Informasi Krea-TIF: Jurnal Teknik Informatika Jurnal Ilmiah Dikdaya Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CERIA (Cerdas Energik Responsif Inovatif Adaptif) Atfaluna: Journal of Islamic Early Childhood Education Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Medica Hospitalia Educatif: Journal of Education Research Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Jurnal Agrium Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Vokasi Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika Journal of Education Informatic Technology and Science International Journal of Engineering, Science and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer Semah : Jurnal Pengelolaan Sumberdaya Peraira J-Intech (Journal of Information and Technology) Seulanga : Jurnal Pendidikan Anak Malcom: Indonesian Journal of Machine Learning and Computer Science The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy IJCIED Pedagogika: Jurnal Ilmu-Ilmu Kependidikan Jurnal Ilmiah Mahasiswa Agroekoteknologi Innovative: Journal Of Social Science Research Madani: Multidisciplinary Scientific Journal Jurnal Pengabdian Masyarakat Bangsa Educatif: Journal of Education Research At-Tajdid: Journal of Islamic Studies Jurnal Malikussaleh Mengabdi Proceedings Book of International Conference and Exhibition on The Indonesian Medical Education and Research Institute Jurnal Solusi Masyarakat Dikara International Journal of Information System and Innovation Management Science: Indonesian Journal of Science Journal of Business Economics and Management IJAE Eduprof
Yusra, Yusra
Universitas Islam Negeri Sultan Syarif Kasim Riau
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Penerapan Naïve Bayes Classifier dalam Klasifikasi Sentimen Publik di Twitter terhadap Puan Maharani Hidayat, Rizki; Fikry, Muhammad; Yusra, Yusra; Yanto, Febi; Cynthia, Eka Pandu
JUKI : Jurnal Komputer dan Informatika Vol. 6 No. 1 (2024): JUKI : Jurnal Komputer dan Informatika, Edisi Mei 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v6i1.479

Abstract

Twitter adalah salah satu jejaring sosial terpopuler di Indonesia, dengan 18,45 juta pengguna aktif pada tahun 2022. Politisi berpengaruh Puan Maharani menjadi topik hangat di pesta ulang tahunnya di tengah protes harga bahan bakar. Analisis sentimen dapat membantu memahami keseluruhan sentimen yang diungkapkan di Twitter tentang Puan Maharani. Dua jenis dataset yang digunakan dalam penelitian ini, yaitu dataset tidak seimbang (9000 tweet: 7800 positif, 1200 negatif) dan dataset seimbang (2400 tweet: 1200 positif, 1200 negatif). Metode Naive Bayes classifier digunakan untuk klasifikasi sentimen, meliputi pengumpulan data, pelabelan, preprocessing, pembobotan TF-IDF, seleksi fitur, pembagian data, klasifikasi Naive Bayes, dan evaluasi dengan confusion matrix. Data dibagi dengan rasio 70:30, 80:20 dan 90:10 untuk data latih serta data uji. Feature selection menggunakan threshold 0,001. Merujuk hasil penelitian yang dilaksanakan, bisa disimpulkan bahwsanya analisis sentimen dapat menjadi alat yang efektif untuk memahami pendapat masyarakat khususnya netizen di platform Twitter terkait dengan persepsi terhadap Puan Maharani. Nilai akurasi tertinggi dari dataset tidak seimbang didapatkan yaitu sebesar 88.89% pada rasio pembagian data latih dan data uji 90:10 serta akurasi tertinggi dari dataset seimbang sebesar 81.0% pada rasio pembagian data 90:10.
Klasifikasi Penyakit Cacar Monyet Menggunakan Metode Support Vector Machine Anugrah, Wendy; Haerani, Elin; Yusra, Yusra; Oktavia, Lola
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5149

Abstract

Monkey pox is a zoonotic disease caused by the monkey pox virus and this disease is very dangerous. Monkey pox can be detected in advance by using information contained in patient data and applying machine learning techniques. This study aims to classify monkey pox using the Support Vector Machine (SVM) method. This test is carried out using a confusion matrix by comparing the ratio of training data and test data with a ratio of 70:30, 80:20, 90:10 and using the RBF kernel. Based on the test results, the highest ratio results were obtained at 90:10 with the best accuracy value of 65% with SVM parameter testing, namely the value C= 10 and y (gamma)= 1. Based on the results of tests carried out using the Support Vector Machine method, the accuracy values ​​were quite good.
Perbandingan Performa Klasifikasi Terjemahan Al-Qur'an Menggunakan Metode Random Forest dan Long Short Term Memory Aftari, Dhea Putri; Safaat, Nazruddin; Agustian, Surya; Yusra, Yusra; Afrianty, Iis
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5156

Abstract

This study focuses on the use of the Qur'an as the primary source of Islamic teachings, aiming to facilitate Muslims' understanding of its content. To achieve this, the classification of translated Qur'anic verses was conducted. Two methods that are rarely used for Qur'anic translation data are Random Forest (RF) and Long Short Term Memory (LSTM) due to their ability to process large and complex data. The data used in this study are translations of the Qur'an that have been classified into 15 topics by previous research, but this study will only focus on 6 topics. The objective of this research is to compare the performance of RF and LSTM in classifying Qur'anic translations into 6 different categories. The results show that in the preaching category, LSTM consistently outperformed RF, with an F1-Score of 57.3% and an accuracy of 96.8%, whereas RF achieved an F1-Score of 49.4% and an accuracy of 97.5%. These findings indicate that LSTM has better performance, especially with proper preprocessing, optimal parameter tuning, and balanced data. This study provides important insights into the development of classification models for Qur'anic translation texts, highlighting the importance of proper preprocessing and parameter tuning.
Pengaruh Penyeimbangan Data Pada Klasifikasi Terjemahan Al-Quran Dengan Metode Naïve Bayes dan Long Short Term Memory Ningsih, Sulistia; Safaat, Nazruddin; Agustian, Surya; Yusra, Yusra; Cynthia, Eka Pandu
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5181

Abstract

The Al Qur'an is a holy book of Muslims which is a guide to life for all mankind. Studying and understanding the translation of the Al-Quran is not easy, one way that can be done is to classify the translation of Al-Quran verses into existing topics. This research uses Naïve Bayes and LSTM methods in the classification process. The data used comes from translation data of the Al-Quran in Indonesian which has been labeled based on multi-class classification. One of the main problems faced is data imbalance. To overcome this problem, data balancing, text preprocessing, feature construction and feature extraction processes were carried out using the Bag of Words (BoW) and TF.IDF techniques. The research results indicate that the most optimal Naïve Bayes model achieved an average accuracy of 55.39% on test data from juz 30, 61.59% on test data from juz 10-20, and 59.53% on test data from juz 25-28. Meanwhile, the most optimal LSTM model yielded an accuracy of 58.02% on test data from juz 30, 59.64% on test data from juz 10-20, and 58.59% on test data from juz 25-28. The main aim of this research is to improve classification performance and compare the accuracy between naïve Bayes and lstm.
Faktor-Faktor Yang Mempengaruhi Ekonomi Syariah Di Negara-Negara Islam Brillyandra, Fradini; Yusra, Yusra; Syahrial, Murah; Syahpawi, Syahpawi
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.12724

Abstract

Ekonomi Islam memainkan peran penting dalam sistem keuangan negara-negara mayoritas Muslim. Studi ini menyelidiki faktor-faktor utama yang mempengaruhi perkembangannya, termasuk pertumbuhan ekonomi, infrastruktur keuangan, kesadaran publik, aspek budaya, regulasi pemerintah, dan stabilitas politik. Penelitian ini menyoroti bagaimana elemen-elemen ini berinteraksi untuk membentuk penerapan dan evolusi ekonomi Islam. Temuan menunjukkan bahwa pemahaman yang mendalam tentang faktor-faktor ini sangat penting untuk mendorong pertumbuhan yang berkelanjutan dan inklusif dalam ekonomi Islam. Kebijakan pemerintah juga diperiksa untuk peran mereka yang mendukung atau menghambat. Dengan mengidentifikasi faktor-faktor ini, studi ini bertujuan untuk memberikan informasi strategi yang meningkatkan pertumbuhan dan integrasi praktik ekonomi Islam.
Perekonomian Khalifah Harun Al-Rasyid sebagai Alternative of Solution bagi Problematika Perekonomian Indonesia Brillyandra, Fradini; Fadhil, Muflihul; Yusra, Yusra; Herlinda, Herlinda; Alpizar, Alpizar
At-Tajdid : Journal of Islamic Studies Vol 3, No 4 (2023): Oktober 2023
Publisher : Pacsasarjana UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/at-tajdid.v3i4.27836

Abstract

The purpose of writing this article is to find out about the economic policies of Caliph Harun ar-Rasyid which can be used as an alternative solution to economic problems in Indonesia. The method the author uses is library research by collecting data regarding files about the history of Harun Al-Rasyid and the economy during Harun al-Rsayid's time through searching data from the internet and print in the form of articles and books. Research result; 1. Harun ar-Rasyid's Economic Policy; a. Trade and Industry, b. Intensive management of the agricultural sector, c. Development of agricultural science, d. Increasing state income through the tax sector, e. Monetary system. 2. Caliph Harun ar-Rasyid's Economic Policy as an Alternative Solution to Indonesia's Economic Problems; a. Agricultural Sector; 1). Activate the agricultural sector and create policies that favor farmers, by eliminating various taxes imposed and also reducing the prices of agricultural needs, for example reducing the prices of fertilizers, agricultural equipment, seeds and so on. 2) Develop agricultural science. This can be done by carrying out various research and trials to increase production in quantity and quality as well as helping to open up market share for farmers' products at national and international levels. 2) Monetary policy, using gold and silver exchange tools to minimize currency price fluctuations between countries, especially developed countries.Keywords:  Economy, Harun Al-Rasyid, Alternative of Solution
The Effect of Giving Green Spinach Juice on Hemoglobin Levels Among Pregnant Women Yusra, Yusra; Sutarno, Maryati
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 10 No. 4 (2024): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL) : SPECIAL EDIT
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v10i4.737

Abstract

Aims: Knowing the effect of giving Green Spinach Juice on Increasing Hemoglobin Levels in Pregnant Women. Methods : A quasi-experimental study design with one group pretest-posttest. In November 2023, 46 pregnant women had their pregnancy checks at PMB Nurida. The sample technique uses the purposive sampling technique. Results : Pregnant women's average hemoglobin level was 9,104 mg/dl before ingesting spinach juice, and 10,770 mg/dl afterward. Giving green spinach juice has a significant effect on boosting hemoglobin levels in pregnant women (p value = 0.000). Conclusions: Increasing the amount of hemoglobin in pregnant women is one of the effects that can be brought about by giving them green spinach juice. For the purpose of preventing anemia during pregnancy, it is planned that midwives will provide counseling to pregnant women, encouraging them to consume vegetables and fruit on a daily basis, particularly those that contain a high amount of iron contents.
Chatbot Berbasis Perintah untuk Membangkitkan Use Case Diagram Fikry, Muhammad; Yusra, Yusra
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2023: SNTIKI 15
Publisher : UIN Sultan Syarif Kasim Riau

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

Abstract

Chatbot dapat membantu pemodelan perangkat lunak sebelum perangkat lunak tersebut diimplementasikan. Untuk membangun model, Unified Modeling Language (UML) digunakan untuk mengkomunikasikan berbagai pandangan berbeda dari perangkat lunak yang dikembangkan. Dari 14 jenis diagram UML, penelitian-penelitian terkait hanya membangkitkan class diagram, state chart diagram, dan activity diagram. Pada penelitian ini, dirancang bangun chatbot untuk membangkitkan use case diagram. Hal ini dikarenakan use case diagram dibuat terlebih dahulu dalam fase analisis sebelum adanya diagram-diagram lain, sehingga berfungsi sebagai titik awal yang memberikan gambaran tingkat tinggi tentang fungsionalitas perangkat lunak. Untuk saat ini, chatbot hanya menerima masukan perintah, belum teks berbahasa alami. Analisa dilakukan untuk menspesifikasikan perintah yang dimasukkan oleh pengguna, dialog yang berlangsung antara pengguna dan chatbot, dan action yang dilakukan oleh chatbot. Setelah tahapan perancangan dan implementasi, dilakukan pengujian blackbox. Berdasarkan hasil pengujian blackbox terhadap seluruh fungsionalitas chatbot, diketahui bahwa chatbot telah sesuai dengan hasil analisa dan perancangan.
Relationship of Teacher Performance to Student Satisfaction in Islamic Education Learning Process at SMAN 1 Canduang Yusra, Yusra; Sesmiarni, Zulfani
Eduprof : Islamic Education Journal Vol. 6 No. 1 (2024): Eduprof : Islamic Education Journal
Publisher : Program Pascasarjana, Universitas Islam Bunga Bangsa Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47453/eduprof.v6i1.259

Abstract

The purpose of this study was to identify and analyse the relationship between teacher performance and student satisfaction in PAI learning at SMAN 1 Canduang. This study used a quantitative approach with a correlational method to identify the relationship between teacher performance and student satisfaction in PAI learning at SMAN 1 Canduang. The results of this study indicate that there is a highly correlated relationship although at a very low level. Teacher performance does play a role in providing satisfaction to students in PAI learning. The product moment correlation calculation of 0.147 indicates that teacher performance, although with a low influence, still has a positive impact on student satisfaction. This indicates that improving teacher performance through more effective teaching methods, better interaction, and delivery of interesting material can increase student satisfaction. In addition, other factors such as learning environment, school facilities, and support from parents also need to be considered to improve overall student satisfaction. Further research is needed to explore other factors that influence student satisfaction and develop more effective strategies in improving teacher performance and creating a more satisfying learning environment for students.
Ciri Dan Pelapukan Tanah Berbahan Induk Volkan Di Kabupaten Bireuen Dan Bener Meriah Provinsi Aceh Khusrizal, Khusrizal; yusra, yusra; Aulia Martha, Riejma; Nasruddin, Nasruddin
Agrium Vol 18 No 2 (2021)
Publisher : Faculty of Agriculture, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/agrium.v18i2.5331

Abstract

Bahan volkan hasil erupsi gunung api merupakan bahan induk tanah yang dijumpa tidak hanya di sekitar lingkungan gunung api tersebut, namun dapat tersebar lebih jauh dari sumbernya yang kemudian di bawah kondisi lingkungan setempat membentuk tanah dengan karakristik beragam. Penelitian ini bertujuan untuk mengkaji karakteristik dan tingkat pelapukan tanah berbahan induk volkan dari gunung api Burni Telong yang telah tersebar di Kecamatan Jeumpa (JE), Juli (JU) Kabupaten Bireun dan Kecamatan Pintu Rime Gayo (PR) Kabupaten Bener Meriah, Provinsi Aceh. Identifikasi sifat tanah dilakukan melalui profil tanah yang dibuat berdasarkan adanya bahan induk volkan dan jarak dari sumber bahan volkan. Pada setiap lokasi ini dibuat satu profil tanah sehingga seluruhnya terdapat 3 profil tanah. Profil tanah yang terdekat hingga terjauh dengan sumber bahan volkan adalah PR, JU dan JE. Sifat tanah yang identifikasi meliputi morfologi, fisika dan kimia tanah. Hasilnya menunjukkan sifat-sifat morfologi, fisika dan kimia tanah profil JE berbeda dengan profil JU dan PR, begitu pula dengan tingkat pelapukan tanahnya, profil JE lebih terlapuk daripada profil JU dan PR
Co-Authors - Fakhrurrazi .Safrizal, Safrizal A.G, Rosnina Achmad Fauzi Aftari, Dhea Putri Ainul Mardiah Aisyah Aisyah Akhyar, Amany Allevia Yumnanisha, Defin Alpizar Alpizar Alwis Nazir Alwis Nazir Amany Akhyar Amelia, Felina Ananda, Nuari Anang Endaryanto Anugrah, Wendy Aufa, Nurul Aulia Martha, Riejma Ayu Khairunnisa Badhawi, Badhawi Badriul Hegar Baidhawi Baidhawi Br Ginting, Risva Novriani Brillyandra, Fradini Caska - Christianta, David Dermawan, Jozu Desfitri, Erda Rahmilaila Dessi Mufti, Dessi Dewanto, Naomi Esthernita Fauzia Deya Inge Kanaya, Mahesa Dina Septiawati Dwitama, Raja Zaidaan Putera Efendi, Yempita Eka Pandu Cynthia Eka Pandu Cynthia, Eka Pandu El Saputra, Yoga Elin Haerani Elvia Budianita Emir Ramon Erlidawati Erlidawati Ethika, Ethika Fadhil, Muflihul Fadhilah Syafria Faruqi, Muhammad Fatima Safira Alatas, Fatima Safira Febi Yanto Fitri Insani Futhira, Nadia Giantini, Astuti Gusti, Siska Kurnia Hafifah, Hafifah Halim Akbar, Halim Hamzah, Zulfadli Hasanah, Rakiyatul Hastriana, Kiki Hayati Hendrival Hendrival Herlinda Herlinda, Herlinda Heru Aulia Azman Hidayat, Rizki Iis Afrianty Indah Aida Sapitri Indrasari, Nuri Dyah Irianti Handayani, Supri Irmayunita, Irmayunita Ismadi Ismadi Jasril Jasril Jeki Dwi Arisandi Jufri Jufri Junianti, Fitri Kamaruddin Kamaruddin Khusrizal Khusrizal Kumalawati, July Laila Nazirah Lestari Handayani Lola Oktavia Lola Oktavia Luh Kesuma Wardhani M. Nazaruddin, M. Maqbul, Maqbul Maria Ulfah Marindra, Zulfah Amaliya Marjuah, Hilmiyah Maulana, Muhammad Rizky Mawardati Mawardati Maya Safitri Mohd Andalas Muh. Darwis Muhammad Aris Muhammad Chairuddin, Muhammad Muhammad Fikry Muhammad Fikry Muhammad Irsyad Muhammad Muaz Munauwar MUHAMMAD YUSUF Muliana, Muliana Munawar Munawar N, Mutiara Nafisah Nafisah Nalatirrizqa, Nalatirrizqa Nani Cahyani Sudarsono Nani Cahyani Sudarsono Nasruddin Nasruddin Nasrullah, Muh. Nazir, Alwis Nazruddin Safaat Nazruddin Safaat H Nilahayati Novi Yanti Novrianto Novrianto Novriyanto Novriyanto Nuraina, Nuraina Nurhardini, Tammy Nurhayati Nurhayati Nurmansyach, Febianto Nurul Jannah Okfalisa Okfalisa Oktavia, Lola Pambudi, Wiyarni Pangestu, Natasha Pattiasina, Firensca Permana, Febrian Pizaini Pizaini Priyanto Priyanto Putri, Raysa Jayu Putri, Sindy Gemaeka Rachma Perdani, Wahyu Rahmat Rizki Hidayat Ramadanu Putra Ramadhani, Siti Randa Fajar Saputra Ranggayoni, Russy Reski Mai Candra Retno Asti Werdhani Rinaldi Syarfianto Riska Eka Putri, Riska Eka Sabar, Muhammad Saputra, Elvino Dwi Saputra, Randa Fajar Sari, Anggi Novita Sari, Dwhy Dinda sari, Mutia Saude Saude Shelviana, Zeni Fransisca Sidik Sidik Siska Kurnia Gusti Siti Nurbaya Sri Suryo Adiyanti, Sri Suryo Sukawati, Farha Sulistia Ningsih, Sulistia Surya Agustian Suryadi Suryadi Suryadi, Nanda Sutarno, Maryati Suwanto Sanjaya Suzana Ana Suzanna Immanuel Syahpawi Syahpawi Syahrial, Murah Syaifuddin Syaifuddin syavitri, suci Taufik Hidayat Tiara Dwi Arista Tjahjadi, Ricky Trian Zulhadi Ubadah Ubadah, Ubadah Umi Fahmida Uswatun Hasanah Wini, Lusia Oktri Wirdiani, Putri Syakira Yani, Susmi Syahfrida Yasmin, Aina Yelvi Fitriani Yelvi Fitriani Yolanda, Khovifah Yuda Zafitra Fadhlan Yudhistira Yudhistira Zikri, Muhammad Afzalul Zulfani Sesmiarni Zurrahmi Wirda