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Yusra, Yusra
Universitas Islam Negeri Sultan Syarif Kasim Riau
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Variasi Umur Pamelo Rakyat Terhadap Perubahan Sifat Fisik Tanah Di Kabupaten Bireuen Propinsi Aceh Yusra, Yusra; Khusrizal, Khusrizal; Hastriana, Kiki Hayati
Agrium Vol 20 No 2 (2023)
Publisher : Faculty of Agriculture, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/agrium.v20i2.11445

Abstract

Vegetasi memiliki peran yang sangat penting dalam proses pembentukan tanah yang pada akhirnya sangat menentukan sifat tanah, namun disisi lain sifat tanah termasuk sifat fisik dapat mempengaruhi pertumbuhan dan produksi. Penelitian ini bertujuan untuk mengetahui perubahan sifat fisik tanah pada lahan pamelo dengan umur yang bervariasi di Kabupaten Bireuen Provinsi Aceh. Penelitian ini menggunakan metode survey dengan 4 tahapan yaitu tahapan persiapan, tahapan survey pendahuluan, tahapan survey utama dan penyajian hasil. Sampel tanah dibagi menjadi sampel tanah tidak terganggu dan tanah terganggu. Sampel tanah diambil dari areal yang ditanami tanaman pamelo selama 5, 10, 20 dan 25 tahun. Hasil penelitian menunjukkan bahwa tekstur tanah didominasi oleh lempung, lempung berdebu dan lempung berpasir, permeabilitas 1,59-4,54 cm jam-1, berat jenis 1,24-1,41 cm jam-1, porositas 0,12-0,98% dan kadar air 46,79-53,21%. Uji koefisien korelasi (r) menunjukkan fraksi pasir berkorelasi negatif dengan fraksi debu (r = -0,993 **). Permeabilitas berkorelasi negatif dengan bulk density (r = -0,736 **) dan berkorelasi positif dengan porositas (r = 0,736 **). Bulk density berkorelasi positif dengan porositas (r = -1.000 **). Fraksi pasir dan debu berpengaruh pada lahan pamelo dengan semua umur tanam, sedangkan parameter lain tidak.
Perubahan Stok Karbon Tanah Hutan Yang Dikonversi Menjadi Lahan Budidaya Pertanian Di Siosar Kabupaten Karo Br Ginting, Risva Novriani; Khusrizal, Khusrizal; Yusra, Yusra; Nasruddin, Nasruddin
Agrium Vol 21 No 1 (2024)
Publisher : Faculty of Agriculture, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/agrium.v21i1.15688

Abstract

Stok karbon tanah (SKT) berhubungan dengan kualitas tanah dan perubahan iklim global. Konversi lahan hutan diperkirakan dapat mengubah sifat-sifat tanah dan jumlah SKT. Penelitian ini bertujuan untuk menentukan perubahan sifat-sifat tanah dan SKT pada lahan Garapan pertanian. Sebanyak enam belas contoh tanah (utuh dan terganggu) telah diambil dari setiap lapisan pada empat minipit. Setiap minipit terdiri dari empat lapisan, dimana setiap lapisan memiliki ketebalan 20 cm. Hasil penelitian menunjukkan bahwa tekstur tanah semua tipe penggunaan lahan berlempung, bulk density (BD) dari rendah hingga sedang, nilai BD sedang dijumpai pada lahan hutan. Nilai pH tanah dari sangat masam hingga masam, nilai sangat masam ditemukan pada lahan hutan, sementara kapasitas tukar kation (KTK) bervariasi dari rendah sampai sangat tinggi, nilai KTK sangat tinggi terdapat pada lahan hutan. Jumlah kandungan C-organik dari rendah hingga sangat tinggi, kandungan C-organik sangat tinggi juga dijumpai pada lahan hutan. Stok karbon tanah yang ditemukan berkisar 73,84 hingga 130,17 MgC.ha-1, jumlah SKT tertinggi terdapat pada lahan hutan. SKT lahan hutan telah berubah manakala dikonversi menjadi lahan pertanian.
Pemetaan Kesesuaian Lahan Tanaman Bawang Merah Di Kecamatan Lhoksukon Kabupaten Aceh Utara Syaifuddin, Syaifuddin; Akbar, Halim; Yusra, Yusra
Agrium Vol 21 No 3 (2024)
Publisher : Faculty of Agriculture, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/agrium.v21i3.19050

Abstract

Bawang merah merupakan tanaman yang memiliki nilai ekonomis sehingga perlu dilakukan pengembangan untuk memperbaiki kualitas dan kuantitasnya. Tujuan penelitian ini adalah untuk memetakan kelas kesesuaian lahan tanaman bawang merah di Kecamatan Lhoksukon. Penelitian ini dilaksanakan di Kecamatan Lhoksukon. Analisis tanah dilakukan di Laboratorium Tanah dan Tanaman Fakultas Pertanian Universitas Syiah Kuala. Penelitian ini dilakukan dari bulan Januari sampai dengan Maret 2024. Metode yang digunakan pada penelitian ini adalah metode survei dengan pendekatan evaluasi kesesuaian lahan. Hasil penelitian menunjukan bahwa kelas kesesuaian lahan tanaman Bawang Merah di Kecamatan Lhoksukon adalah  kelas S3 (sesuai marginal) dengan faktor pembatas S3wa-1, rc-1, nr-3, na-2 terdapat pada Satuan Peta Lahan (SPL) 1 dan 10, kelas S3wa-1 terdapat pada SPL 2, 12, 26, kelas S3wa-1, nr-3 terdapat pada  SPL 5, 6, 25, 30, 32, kelas S3wa-1, rc-1, nr-2-3, na-2-3 terdapat pada SPL 14 dan S3wa-1, nr-2,3 terdapat pada SPL 36. Adapun upaya perbaikan yang perlu dilakukan adalah dengan pemberian pupuk, pemberian kapur dan bahan organik
Pengaruh Model Problem Based Learning dalam Pembelajaran Teks Narasi Siswa Kelas VII MTs Muhammadiyah Kota Jambi Shelviana, Zeni Fransisca; Yusra, Yusra; Wini, Lusia Oktri
Jurnal Ilmiah Dikdaya Vol 14, No 1 (2024): April
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/dikdaya.v14i1.602

Abstract

The aim of this research is to determine the influence of the problem based learning model in learning narrative texts for class VII students at MTs Muhammadiyah Jambi city. The approach in this research uses a quantitative approach with an experimental research approach with two groups of data. Data collection was carried out by means of interviews, observations, documentation in the field, and tests. The results of this research show that there is an effect after using the problem-based learning model compared to the conventional model, the results of the narrative essay writing skills test of students taught using the Problem-Based Learning model are higher than students taught using the conventional model. It can be concluded that the use of the problem based learning (PBL) method in learning narrative texts in classes VII A and VII B has quite an influence on the narrative text learning process.
Abses Tubo-Ovarian: Sebuah Laporan Kasus di RSU Dr. Zainoel Abidin Banda Aceh Andalas, Mohd; Munawar, Munawar; Yusra, Yusra; Maqbul, Maqbul
Majalah Kedokteran Indonesia Vol 70 No 6 (2020): Journal of The Indonesian Medical Association - Majalah Kedokteran Indonesia, Vo
Publisher : PENGURUS BESAR IKATAN DOKTER INDONESIA (PB IDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47830/jinma-vol.70.6-2020-264

Abstract

Background: Blood transfusion is an important part of modern health services. When used properly, transfusion can save patient’s life and improve health. Blood transfusion has risk of transmitted infectious diseases through blood transfusion (TTI) especially HIV / AIDS, Hepatitis C, Hepatitis B, and Syphilis, and Malaria, Dengue Fever (DHF) can only be done in endemic areas, as well as other transfusions which can be life threatening.Method: This was descriptive study with cross sectional approach and sampling techniques using secondary data with total population method. From the sample of 23,875 samples (12,305 (2017) and 11,573 (2018)), it was seen which results of TTI reactive from donor data to be included in finding research objects. Results: In 2017 HbSAg reactive TTI parameters 1.7%, Anti HCV 0.5%, HIV Ag / Ab 0.7%, and Treponema 4% and TTI reactive results in donors in 2018 HbSAg parameters 1.3%, Anti HCV 0.3%, HIV Ag / Ab 0.25% and Treponema 2.2%. Comparison of donor TTI screening results in Blood Center of North Aceh-Indonesia in the period 2017-2018 changes in the ratio of TTI reactive numbers in the HbSAg parameter of 0.4%, Anti HCV 0.2%, HIV Ag / Ab 0.45% and Treponema 1.8% in period 2018.Conclusion: Although the reactive rate in 2017 is relatively high, in 2018 the reactive TTI level shows a decline. This condition can be caused by two factors: (1) Implementation of donor selection was good with good data collection and documentation system. (2) The inspection method carried out affects the results of the existing inspection.
PELATIHAN PENANGANAN DAN PENGOLAHAN IKAN DI KELURAHAN PASIA NAN TIGO KECAMATAN KOTO TANGAH KOTA PADANG Yusra, Yusra; Efendi, Yempita; Mardiah, Ainul
Jurnal Vokasi Vol 3, No 2 (2019): Oktober
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.349 KB) | DOI: 10.30811/vokasi.v3i2.1308

Abstract

Kelurahan Pasia Nan Tigo Kecamatan Koto Tangah Kota Padang merupakan salah daerah yang terletak di pesisir pantai. Sebagian besar penduduk di daerah  ini bekerja sebagai nelayan penangkap dan pengolah ikan. Daerah ini juga dijadikan  sentra pengolahan ikan Kota Padang yang disebut dengan Sentra Pengolahan Perikanan Pasia Nan Tigo (SP3N). Pengolahan ikan yang dominan dilakukan adalah pengolahan ikan teri kering (tawar dan asin). Mitra yang menjadi sasaran dari Kegiatan Program Kemitraan Masyarakat (PKM) ini adalah nelayan pengolah ikan yang berada di unit pengolahan ikan SP3N. Kegiatan PKM ini dilakukan dengan metode andragogy, dengan cara sosialisasi, penyuluhan dan melakukan praktek. Kegiatan yang dilakukan adalah: 1) Penyuluhan tentang larangan penggunaan bahan tambahan pangan (BTP) berbahaya dalam proses pengolahan ikan teri kering, 2) Pelatihan pengolahan ikan yang sesuai dengan standar SNI, 3) Pelatihan tentang diversifikasi produk olahan ikan teri menjadi nugget ikan, kakinaga ikan dan abon ikan,  4) Pelatihan  pengemasan  produk  ikan  teri  kering serta 5) pelatihan manajemen keuangan dan pembukuan sederhana.
INOVASI KONSEP ZERO WASTE PADA KELOMPOK PENGOLAH IKAN DI KELURAHAN PASIA NAN TIGO KECAMATAN KOTO TANGAH KOTA PADANG Yusra, Yusra; Ulfah, Maria; Mufti, Dessi
Jurnal Vokasi Vol 5, No 2 (2021): Oktober
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/vokasi.v5i2.2304

Abstract

Sentra Pengolahan Perikanan Pasia Nan Tigo (SP3N) merupakan unit pengolahan ikan (UPI) yang berada Kelurahan Pasia Nan Tigo Kecamatan Koto Tangah Kota Padang. Ikan yang dominan diolah di SP3N ini adalah ikan teri kering (tawar dan asin). Mitra yang menjadi sasaran dari kegiatan PKM ini adalah nelayan pengolah ikan yang terdapat di SP3N yang berjumlah 20 orang. Metode yang dilakukan dalam PKM ini adalah penyuluhan dalam bentuk sosialisasi, pelatihan dan praktek langsung yang bertujuan untuk meningkatkan pengetahuan dan keterampilan mitra dalam bidang teknologi pengolahan limbah perikanan. Metode yang dilakukan dalam pelaksanaan pengabdian pada masyarakat ini adalah: 1) Persiapan sosialisasi kegiatan, 2) Penyuluhan dan pelatihan tentang: teknologi pengolahan limbah perikanan menjadi pupuk organik cair (POC), pembuatan tepung ikan, pengolahan petis, mpek mpek, aplikasi POC pada tanaman sayur (bayam dan caisim), teknologi pengemasan dan manajemen sederhana. 3) Pendampingan terhadap kualitas produk yang dihasilkan dan 4) Evaluasi pelaksanaan kegiatan pengabdian kepada masyarakat
Klasifikasi Sentimen Masyarakat Terhadap Prabowo Subianto Bakal Calon Presiden 2024 di Twitter Menggunakan Naïve Bayes Classifier Dwitama, Raja Zaidaan Putera; Yusra, Yusra; Fikry, Muhammad; Yanto, Febi; Budianita, Elvia
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7071

Abstract

The Indonesian President who has served for 2 consecutive terms cannot nominate again to become President. The public's attitude towards the three presidential candidates, Prabowo Subianto, Anies Baswedan, and Ganjar Pranowo, who are predicted to run for the 2024 presidential election, is also a matter for netizens' opinions from which conclusions can be drawn. Testing will be carried out in this research using information collected from tweets posted by Twitter users. Naïve Bayes Classifier is a technique that will be applied for sentiment assessment. In the upcoming presidential election, this research will be a source when determining the presidential choice. 2100 tweets with the search keywords "Presidential Candidate" and "Prabowo Subianto" are data collected by dividing 1050 positive data and 1050 negative data. Then implementation was carried out using Google Colab starting from data processing (cleaning, case folding, tokenizing, normalization, negation handling, stopword removal, stemming) followed by classification using the Naïve Bayes Classifier. According to test findings using the Confusion Matrix with three experimental test data 90:10, 80:20 and 70:30. Obtained the highest accuracy results of 89%, with a precision value of 89.7%, 88.6% recall and 88.9% f1-score in the 90:10 trial test.
Klasifikasi Sentimen Terhadap Topik Pindah Ibu Kota Negara Pada Twitter Menggunakan Metode Naïve Bayes Classifier Dermawan, Jozu; Yusra, Yusra; Fikry, Muhammad; Agustian, Surya; Oktavia, Lola
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 3 (2024): Maret 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7475

Abstract

Towards the middle of 2019, President Joko Widodo announced plans to relocate Indonesia's capital city. This caused pros and cons in the community, which were widely observed in various social media. To quickly measure the level of public sentiment towards the policy of moving the National Capital City (IKN), whose construction is already underway, a classification system that has good performance is needed. This research proposes a classification of public sentiment on the topic using the Naïve Bayes Classifier method. The data used in this study amounted to 4000 tweets that have been classified into two classes, namely 2000 positive class data and 2000 negative class data. The purpose of this research is how to apply the Naïve Bayes Classifier method in classifying sentiment on the topic of moving the nation's capital and determine the accuracy level of the method. The application of the Naïve Bayes classification method using TF-IDF features to classify 10% of the data as testing data resulted in an accuracy of 77.00%, for a precision value of 77.06%, recall 77.08% and f1-score of 77.00%. Based on the results achieved, the Naïve Bayes Classifier method is good at text classification tasks, with a fairly good accuracy rate.
Klasifikasi Sentimen Bitcoin Terhadap Komentar Di Aplikasi X Menggunakan Metode Decision Tree C4.5 Indrizal, Habibi Putra; Syafria, Fadhilah; Haerani, Elin; Vitriani, Yelvi; Yusra, Yusra
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.932

Abstract

Sentiment analysis is an important method for understanding user perceptions of cryptocurrency assets such as Bitcoin, whose price movements are strongly influenced by public opinion. This study aims to classify user sentiment from comments posted on the X platform into two classes, namely positive and negative, using the Decision Tree C4.5 algorithm. The dataset consists of 5,000 Indonesian-language comments collected through a web scraping process and processed through text preprocessing and TF-IDF–based feature extraction. The model was trained using a 70% training data and 30% testing data split. The evaluation results show that the C4.5 model achieved an accuracy of 78%. For the positive class, the model obtained a very high recall of 0.99 with an F1-score of 0.83, indicating strong performance in identifying positive comments. In contrast, the negative class achieved a recall of 0.51 with an F1-score of 0.67, despite having a high precision of 0.97. The disparity in performance between classes is influenced by the data distribution, which is not fully balanced, with positive comments being more dominant than negative ones, causing the model to be more sensitive to the majority class. Overall, the results indicate that the Decision Tree C4.5 algorithm is sufficiently effective for Indonesian-language Bitcoin sentiment classification, although it still has limitations in recognizing the minority class. Future research may explore the application of data imbalance handling techniques or more advanced algorithms to improve the balance of classification performance across classes.
Co-Authors - Fakhrurrazi .Safrizal, Safrizal A.G, Rosnina Achmad Fauzi Aftari, Dhea Putri Ainul Mardiah 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 Baehaqi Baidhawi Baidhawi Br Ginting, Risva Novriani Brillyandra, Fradini Christianta, David Damanhuri, Harfiandri 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 Eni Kamal 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 Hanif, Wan Muhammad Hasanah, Rakiyatul Hastriana, Kiki Hayati Hendrival Hendrival Herlinda Herlinda, Herlinda Heru Aulia Azman Hidayat, Rizki Iis Afrianty Indah Aida Sapitri Indrasari, Nuri Dyah Indrizal, Habibi Putra Irianti Handayani, Supri Irmayunita, Irmayunita Ismadi Ismadi Jasril Jasril Jeki Dwi Arisandi Jufri Jufri Junaidi Junaidi Junianti, Fitri Kamaruddin Kamaruddin Khusrizal Khusrizal Kumalawati, July Laila Nazirah Lestari Handayani Lola Oktavia Lola Oktavia Luh Kesuma Wardhani 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 Fikry Muhammad Irsyad Muhammad Muaz Munauwar Muhammad Nazaruddin MUHAMMAD YUSUF Mukramin, Mukramin 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 Nuzirwan, Faisal Okfalisa Okfalisa Oktavia, Lola Paembonan, Solmin 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 Rd. Selvy Handayani 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 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 Trian Zulhadi Ubadah Ubadah, Ubadah Umi Fahmida Uswatun Hasanah Vitriani, Yelvi Wini, Lusia Oktri Wirdiani, Putri Syakira Yani, Susmi Syahfrida Yasmin, Aina Yelvi Fitriani Yelvi Fitriani Yolanda, Khovifah Yuanda, Ayi Riska Yuda Zafitra Fadhlan Yudhistira Yudhistira Zikri, Muhammad Afzalul Zulfani Sesmiarni Zurrahmi Wirda