Article Per Year (5 Year)
p-Index From 2021 - 2026
4.333
P-Index
This Author published in this journals
All Journal Journal of Intelligent Systems Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Information Management For Educators And Professionals (IMBI) Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Riset Informatika Budimas : Jurnal Pengabdian Masyarakat Jurnal Infortech International Journal Of Science, Technology & Management (IJSTM) Jurnal Sistem Informasi Jurnal AbdiMas Nusa Mandiri Jurnal Dialektika Informatika (Detika) Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Pengabdian Kreatif Cemerlang Indonesia AMMA : Jurnal Pengabdian Masyarakat Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi) Prawara Jurnal Pengabdian Masyarakat
Tyas Setiyorini
Universitas Nusa Mandiri
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

Published : 39 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 39 Documents
Search

 1   2   3   4 
KOMPARASI METODE NEURAL NETWORK, SUPPORT VECTOR MACHINE DAN LINEAR REGRESSION PADA ESTIMASI KUAT TEKAN BETON Tyas Setiyorini; Rizky Tri Asmono
Jurnal Techno Nusa Mandiri Vol 15 No 1 (2018): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (863.343 KB) | DOI: 10.33480/techno.v15i1.58

Abstract

Penggunaan beton sudah semakin meluas dikarenakan beton memiliki kuat tekan yang lebih tinggi dibandingkan dengan bahan lain. Para ahli melakukan prediksi kuat tekan beton dengan kurang efektif karena masih menggunakan aturan dan rumus standar tertentu. Banyak penelitian dilakukan dengan beberapa metode namun belum diketahui metode mana yang terbaik. Penelitian ini melakukan komparasi antara metode Neural Network (NN), Support Vector Machine (SVM) dan Linear Regression (LR) dengan menggunakan dataset concrete compressive strength dan slump. Pada dataset concrete compressive strength dengan menggunakan metode NN didapatkan RMSE 5,667, dengan menggunakan metode SVM didapatkan RMSE 5,165 dan dengan metode LR didapatkan RMSE 10,501. Sementara pada dataset slump dengan menggunakan metode NN didapatkan RMSE 0,422, dengan menggunakan metode SVM didapatkan RMSE 2,778 dan dengan menggunakan metode LR didapatkan RMSE 2,65. Setelah hasil tersebut dikomparasi dengan perangkingan didapatkan total ranking NN adalah 3, total rangking SVM adalah 4, dan total rangking LR adalah 5. Dari total rangking tersebut dapat disimpulkan bahwa kinerja NN lebih baik dibanding SVM dan LR.
IMPLEMENTATION OF K-NEAREST NEIGHBOR AND GINI INDEX METHOD IN CLASSIFICATION OF STUDENT PERFORMANCE Tyas Setiyorini; Rizky Tri Asmono
Jurnal Techno Nusa Mandiri Vol 16 No 2 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (916.918 KB) | DOI: 10.33480/techno.v16i2.747

Abstract

Predicting student academic performance is one of the important applications in data mining in education. However, existing work is not enough to identify which factors will affect student performance. Information on academic values ​​or progress on student learning is not enough to be a factor in predicting student performance and helps students and educators to make improvements in learning and teaching. K-Nearest Neighbor is a simple method for classifying student performance, but K-Nearest Neighbor has problems in terms of high feature dimensions. To solve this problem, we need a method of selecting the Gini Index feature in reducing the high feature dimensions. Several experiments were conducted to obtain an optimal architecture and produce accurate classifications. The results of 10 experiments with values ​​of k (1 to 10) in the student performance dataset with the K-Nearest Neighbor method showed the highest average accuracy of 74.068 while the K-Nearest Neighbor and Gini Index methods showed the highest average accuracy of 76.516. From the results of these tests it can be concluded that the Gini Index is able to overcome the problem of high feature dimensions in K-Nearest Neighbor, so the application of the K-Nearest Neighbor and Gini Index can improve the accuracy of student performance classification better than using the K-Nearest Neighbor method.
Penerapan Information Gain pada K-Nearest Neighbor untuk Klasifikasi Tingkat Kognitif Soal pada Taksonomi Bloom Tyas Setiyorini
Jurnal Sistem Informasi Vol 6 No 1 (2017): JSI Periode Februari 2017
Publisher : LPPM STMIK ANTAR BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (606.89 KB) | DOI: 10.51998/jsi.v6i1.224

Abstract

Abstract— Bloom's Taxonomy is a classification system that is used to define and distinguish the level of cognition (thinking, learning, and understanding) human diverse. The initial purpose in making taxonomy is focusing on three main domains of learning, which is cognitive, affective, and psychomotor. Nowadays, academics identify cognitive levels of Bloom of a question manually. However, only few academics that can be identify the cognitive level correctly, so most of them made a mistake to categorize questions. K-Nearest Neighbor (KNN) is a simple but effective method for categorization cognitive level questions on the Bloom's Taxonomy, however KNN has high dimention of text vector. In order to resolve these problems, the Information Gain (IG) method is needed to reduce dimention of text vector. Several experiments were conducted to obtain optimal architecture and produce an accurate classification. The results of 10 experiments on the Question Bank dataset with KNN obtained the biggest accuracy is 59,87% and the biggest kappa is 0,496. Then on KNN + IG obtained the biggest accuracy is 66,18% and the biggest kappa is 0,574 It can be concluded that the classification level cognitive questions on Bloom's taxonomy using KNN + IG method is more accurate than the KNN method only.Intisari— Taksonomi Bloom merupakan sistem klasifikasi yang digunakan untuk mendefinisikan dan membedakan tingkat kognisi (berpikir, belajar, dan memahami) manusia yang berbeda-beda. Tujuan awal dalam pembuatan taksonomi adalah memfokuskan pada tiga domain utama dari pembelajaran, yaitu kognitif, afektif, dan psikomotorik. Saat ini, kalangan akademisi mengidentifikasi tingkat kognitif Bloom sebuah pertanyaan secara manual. Namun, hanya sedikit akademisi yang dapat mengidentifikasi tingkat kognitif dengan benar, sehingga sebagian besar melakukan kesalahan mengkategorisasikan pertanyaan. K-Nearest Neighbor (KNN) merupakan metode sederhana namun efektif untuk kategorisasi tingkat kognitif soal pada taksonomi Bloom, namun KNN memiliki dimensi vektor yang besar. Untuk menyelesaikan masalah tersebut diperlukan metode Information Gain (IG) untuk mengurangi dimensi vektor teks. Beberapa eksperimen dilakukan untuk mendapatkan arsitektur yang optimal dan menghasilkan klasifikasi yang akurat. Hasil dari 10 eksperimen pada dataset Question Bank dengan KNN didapatkan akurasi terbesar adalah 59,97% dan kappa terbesar adalah 0,496. Kemudian pada KNN+IG didapatkan akurasi terbesar adalah 66,18% dan kappa terbesar adalah 0,574. Maka dapat disimpulkan klasifikasi tingkat kognitif soal pada taksonomi Bloom dengan menggunakan metode KNN+IG lebih akurat dibanding dengan metode KNN saja.Kata Kunci — Klasifikasi, Taksonomi Bloom, K-Nearest Neighboor, Information Gain
OPTIMASI MESIN PENCARI BAGI SANTRI MAJELIS TA’LIM FAIZUL HAQ CISAUK Maryanah Safitri; Sita Anggraeni; Tyas Setiyorini; Ibnu Rusdi
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 4, No 2 (2022): BUDIMAS : VOL. 04 NO. 02, 2022
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v4i2.5322

Abstract

The Faizul Haq Ta'lim Council is a non-formal institution that can make a considerable contribution to the development and progress of the State both before and after independence, as a potential means to convey Islamic da'wah and foster society. The students who study there acquire religious knowledge from the ustadz and ustadzah who teach at the Faizul Haq Ta'lim assembly based on the qura'an and sunnah. To further enrich the treasures and reference sources of religious knowledge, students also get it through internet media, namely with the help of search engines, but there are still many students who have not been able to use it optimally so that the search takes a long time. Therefore, we hold community service activities in the form of webinars to provide information and knowledge related to optimizing the use of search engines to assist students in finding the references they need and provide tips for faster and more effective searches. After holding community service in the form of counseling on search engine optimization for the students of the Faizul Haq Cisauk Ta'lim Council, the students can now use search engines like Google properly and correctly. They feel the difference from the previous one, it takes a long time and it is difficult to find the right reference and according to what they need. Now they can search for the references they need more effectively and efficiently.
Cerdas Penggunaan Media Sosial Dalam Pergaulan Remaja Untuk Anggota Ikatan Pelajar Nahdatul Ulama (IPNU) Ciledug Tyas Setiyorini; Frieyadie Frieyadie; Sri; Muhamad Ryansyah
Jurnal Pengabdian Kreatif Cemerlang Indonesia Vol 1 No 1 (2022): Periode Mei
Publisher : Yayasan Kreatif Cemerlang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.373 KB)

Abstract

Ikatan Pelajar Nahdatul Ulama (IPNU) Ciledug, memiliki aktivitas yang positif secara umum di bawah naungan Jamiyyah Nahdlatul Ulama, tempat berhimpun, wadah komunikasi, wadah aktualisasi dan wadah yang merupakan bagian integral dan potensi generasi muda Indonesia secara utuh. Para remaja memiliki jiwa yang aktif dan berkeinginan bergaul secara luas dan secara bebas. Perilaku pergaulan bebas sering tidak terkontrol dan bisa menjerumuskan anak ke berbagai hal negatif, terutama banyak sekali remaja memiliki akun media sosial dan juga para remaja banyak sekali memposting kegiatan yang menyangkut hal pribadi, pekerjaan, atau biasa juga dimanfaatkan sebagai media untuk mencari keuntungan seperti online shop atau akun lainnya. Dengan adanya media sosial ini dimana kita bisa bebas berkomentar dan mengeluarkan pendapat tanpa rasa takut, tidak jarang para remaja memalsukan identitasnya dan berperilaku tidak wajar karena menurut mereka jika aktif di media sosial akan terlihat keren. Dengan diadakannya pengabdian masyarakat ini, para remaja IPNU Ciledug dapat memahami media sosial lebih dalam lagi. Mereka kini dapat membedakan ciri-ciri media sosial yang baik atau tidak. Mereka dapat memahami pengaruh positif dan negatif media sosial, sehingga kini mereka dapat lebih bersikap cerdas dan bijak dalam menggunakan media sosial.
Covid-19 Social Aid Admission Selection Using Simple Additive Weighting Method As Decision Support Tyas Setiyorini; Frieyadie Frieyadie; Aditiya Yoga Pratama
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.553

Abstract

The process of receiving Covid-19 social assistance to residents who are recorded as social aid recipients in the RT.07 RW.10 Kp. Sukapura Jaya area is still uneven. The second problem is that there is no particular mathematical calculation to determine the value of the weight of the criteria, especially for residents who are recorded as receiving Covid-19 social aid in the RT.007 RW.10 Kp. Sukapura Jaya area. The gradual decline in social aid programs so that the number that falls does not match the data of social aid recipients. This caused a polemic for RT administrators in distributing social aid programs. The decline in social aid programs does not match the number of citizens recorded. It overcomes citizens who cause social jealousy—analyzing the problems experienced by the RT management in the distribution of Covid-19 social assistance, especially the RT.07 RW.10 Kp. Sukapura Jaya area to residents who are recorded as recipients. Selecting Covid-19 social assistance recipients, especially in the RT.07 RW.10 Kp. Sukapura Jaya area. So the application of methods as decision support is needed, and it is needed to help determine the weight of particular criteria for citizens who are recorded as more in need. This study proposes a decision support method using the Simple Additive Weighting (SAW) method, which is expected to help decision-making in solving problems for selecting Covid-19 social aid recipients in the RT.07 RW.10 Kp. Sukapura Jaya community. The purpose of the study is to select residents who are recorded to receive social aid who are more in need first will get Covid-19 social aid.
Pelatihan Pembuatan Blog Menggunakan Wordpress Untuk Santri Tyas Setiyorini; Albert Riyandi; Maryanah Safitri; Nurajijah
Jurnal Pengabdian Kreatif Cemerlang Indonesia Vol 2 No 1 (2023): Periode Mei
Publisher : Yayasan Kreatif Cemerlang Indonesia

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

Abstract

Dalam kegiatan kesehariannya baik santri maupun ustad dan ustadzah memanfaatkan fasilitias yang ada diinternet terutama dalam berkomunikasi. Salah satu pemanfatan internet adalah dengan pembuatan blog menggunakan wordpress. Blog juga bisa dimanfaatkan santri untuk belajar dan melatih menulis di media online, sehingga lebih memudahkan santri dalam hal berkreasi dan berbagi tentang ilmu yang didapatkan di majlis ta’lim bisa dapat langsung dituangkan dalam bentuk tulisan. Media baru ini membantu menyediakan template yang dapat digunakan dengan mudah dan desain yang sangat menarik. Saat ini santri belum pernah mendapatkan dan diperkenalkan pengetahuan tentang bagaimana menulis di media online. Pemanfaatan ini tinggal mengasah kreatifitas para santri sehingga dapat digunakan secara maksimal. CMS merupakan sebuah sistem yang memberikan kemudahan kepada para penggunanya dalam mengelola dan mengadakan perubahan isi dalam sebuah website dinamis tanpa dibekali pengetahuan tentang hal-hal yang bersifat teknis sebelumnya. Adapun metode yang digunakan adalah metode tutorial, metode tanya jawab dan metode praktik, dimana hasil dari kegiatan ini adalah santri memiliki blog pribadi yang berisi materi tentang ilmu pengetahuan agama yang mereka dapatkan di majlis ta’lim.Semoga dengan adanya pengabdian masyarakat ini, mampu memberikan tambahan ilmu pengetahuan tentang teknologi bagi para santri khususnya dalam mengenal blog serta bagaimana implementasinya menggunakan wordpress.
IMPLEMENTATION OF INVENTORY INFORMATION SYSTEM DESIGN USING ECONOMIC ORDER QUANTITY METHOD Frieyadie Frieyadie; Tyas Setiyorini
Jurnal Riset Informatika Vol. 3 No. 2 (2021): March 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i2.61

Abstract

The research problems faced are among others the cost of ordering goods which always changes every time there is an order. Poor product order data collection and less than optimal handling of product orders can harm the company. To solve the problem of controlling inventory management, the Economic Order Quantity (EOQ) method is used, which is proven to be effective in overcoming these problems. Contribution is generated by building an inventory management information system so that the problems faced are not repeated. The purpose of this study is to make the cost of ordering goods more stable and more optimal in handling product orders
Covid-19 Social Aid Admission Selection Using Simple Additive Weighting Method as Decision Support Tyas Setiyorini; Frieyadie Frieyadie; Aditiya Yoga Pratama
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (826.739 KB) | DOI: 10.34288/jri.v5i3.231

Abstract

The process of receiving Covid-19 social assistance to residents who are recorded as social aid recipients in the RT.07 RW.10 Kp. Sukapura Jaya area is still uneven. The second problem is that there is no particular mathematical calculation to determine the value of the weight of the criteria, especially for residents who are recorded as receiving Covid-19 social aid in the RT.007 RW.10 Kp. Sukapura Jaya area. The gradual decline in social aid programs so that the number that falls does not match the data of social aid recipients. This caused a polemic for RT administrators in distributing social aid programs. The decline in social aid programs does not match the number of citizens recorded. It overcomes citizens who cause social jealousy—analyzing the problems experienced by the RT management in the distribution of Covid-19 social assistance, especially the RT.07 RW.10 Kp. Sukapura Jaya area to residents who are recorded as recipients. Selecting Covid-19 social assistance recipients, especially in the RT.07 RW.10 Kp. Sukapura Jaya area. So the application of methods as decision support is needed, and it is needed to help determine the weight of particular criteria for citizens who are recorded as more in need. This study proposes a decision support method using the Simple Additive Weighting (SAW) method, which is expected to help decision-making in solving problems for selecting Covid-19 social aid recipients in the RT.07 RW.10 Kp. Sukapura Jaya community. The purpose of the study is to select residents who are recorded to receive social aid who are more in need first will get Covid-19 social aid.
Sosialisasi Keamanan Password Dalam Menggunakan Internet Bagi Para Santri Majelis Ta’lim Faizul Haq Ibnu Rusdi; Maryanah Safitri; Sita Anggraeni; Tyas Setiyorini
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 5, No 1 (2023): BUDIMAS : VOL. 5, NO.1, 2023
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v5i1.7634

Abstract

Almost all activities today can be done online. The internet has provided convenience in many ways and provides access to information quickly anywhere. However, various dangers can arise, including data theft, intellectual property theft, sabotage, and many more. Therefore, internet users must be aware of the crimes that exist on the internet. One way is to maintain the security of user passwords on the internet. After the community service was held in the form of counseling regarding password security tips on the internet, now the students of the Faizul Haq Ta'lim assembly get broader and very useful knowledge about internet security. They can apply tips and tricks in maintaining password security on the internet life in their daily lives.
Co-Authors Achmad Rifai ACHMAD RIFAI Aditiya Yoga Pratama Albert Riyandi Alengka, Son Gohan Angga Subrata Anggie Andriansyah Dedi Saputra Fariq Mulia, Akbar Fitra Septia Nugraha Frieyadie Frieyadie Frieyadie Harsih Rianto Ibnu Alfarobi Ibnu Rusdi Istiyanto, Ilham Jordy Lasmana Putra Kudiantoro Widianto, Kudiantoro lazuardi, sandy ibrahim Maryanah Safitri Maryanah Safitri Muhamad Ryansyah Nofarenzi, Yosari Nur Mutia Eka Pusparani Nurajijah Rismaniah Rismaniah Rizky Tri Asmono Rizky Tri Asmono Rizky Tri Asmono Rizky Tri Asmono Rizky Tri Asmono Romi Satria Wahono Sita Anggraeni Sita Anggraeni, Sita Siti Nurdiani Solehudin, Rizki Sri Syaifur Rahmatullah Syaifur Rahmatullah, Syaifur