Article Per Year (5 Year)
p-Index From 2021 - 2026
4.646
P-Index
This Author published in this journals
All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Ilmiah KOMPUTASI JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Riset Informatika bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Jifosi Nusantara Science and Technology Proceedings ABSYARA: Jurnal Pengabdian Pada Masyarakat SPRINTER: Jurnal Ilmu Olahraga Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Sistem Informasi dan Bisnis Cerdas JOINCS (Journal of Informatics, Network, and Computer Science) Madani: Multidisciplinary Scientific Journal Kreativitas Pada Pengabdian Masyarakat (Krepa) ILTEK : Jurnal Teknologi AMMA : Jurnal Pengabdian Masyarakat Student Research Journal Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Router : Jurnal Teknik Informatika dan Terapan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Prosiding Seminar Nasional Ilmu Teknik Router : Jurnal Teknik Informatika dan Terapan
Rizka Hadiwiyanti
Universitas Pembangunan Nasional Veteran Jawa Timur
Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 45 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 45 Documents
Search

 1   2   3   4   5 
Sistem Pakar Pendeteksi Penyakit Pada Kucing Menggunakan Metode Forward Chaining Dan Certainty Factor Muhammad Januar Pribadi; Agung Brastama Putra; Rizka Hadiwiyanti
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 3 (2024): September : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i3.150

Abstract

Kucing adalah hewan peliharaan populer yang sering kali rentan terhadap berbagai penyakit. Ketidakmampuan pemilik untuk mendiagnosa penyakit kucing secara tepat waktu sering kali mengharuskan konsultasi dengan dokter hewan yang sebagian besar hanya tersedia di perkotaan. Penelitian ini bertujuan mengembangkan sistem pakar berbasis web menggunakan metode Forward Chaining dan Certainty Factor untuk membantu mendiagnosa penyakit pada kucing. Metodologi pengembangan sistem ini mencakup tahap persiapan, prototyping, dan penyelesaian. Pada tahap persiapan, masalah dirumuskan dan wawancara dengan dokter hewan dilakukan untuk membangun knowledge base. Tahap prototyping melibatkan pembuatan mesin inferensi dan knowledge base, sementara tahap penyelesaian meliputi implementasi sistem ke dalam antarmuka pengguna berbasis web menggunakan PHP dan framework Laravel. Hasil uji sistem menunjukkan konsistensi tinggi dengan hasil diagnosa manual menggunakan Excel. Sebagai contoh, diagnosa penyakit Virus Panleukopenia memiliki nilai certainty factor sebesar 94,62% pada aplikasi, sementara perhitungan manual menunjukkan 95,21%, dengan perbedaan hanya 0,41%. Hal ini menunjukkan bahwa sistem pakar yang dikembangkan mampu memberikan diagnosa yang cepat dan akurat. Kesimpulannya, sistem pakar berbasis web ini dapat diandalkan untuk mendiagnosa penyakit kucing dan membantu dokter hewan serta pemilik kucing melakukan diagnosa awal dengan lebih efisien.
Classification and Mapping of Online Gambling Based on News Articles Using NER and SVM Wisnu Mukti Darwansah; Amalia Anjani Arifiyanti; Rizka Hadiwiyanti
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4707

Abstract

The phenomenon of online gambling in Indonesia has developed rapidly, posing serious social and economic threats. This thesis aims to classify and map online gambling activities based on digital news using the Support Vector Machine (SVM) algorithm and Named Entity Recognition (NER). Data were collected from the news portals Detik.com, Kompas.com, and Tribunnews from 2017 to 2024 through a web scraping approach. The research process included setup and library import, data upload, data exploration, data labeling according to Law No. 1 of 2023, data preprocessing, data filtering, location normalization and extraction, and location data cleaning. Subsequently, the SVM model was trained for risk classification and followed by prediction. Evaluation was conducted using accuracy and F1-score metrics to assess overall model performance and classification balance. Based on the evaluation results, the Normal SVM model demonstrated the best performance with an accuracy of 96.94% and an F1-score of 0.97. The findings indicate that the combination of NER and SVM effectively identifies the location and risk level of online gambling activities. This research is expected to contribute to law enforcement authorities and policymakers in their efforts to prevent and address online gambling activities in Indonesia.
Decision Support System for Extending PT Nitro Pratama Indonesia Outlet Cooperation Using the Fuzzy AHP-TOPSIS Radhyana Gayatri Faradilla; Rizka Hadiwiyanti; Abdul Rezha Efrat Najaf
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4847

Abstract

The increasingly competitive business environment required companies to make objective decisions, particularly in determining the feasibility of outlet contract extensions. PT Nitro Pratama Indonesia previously conducted this process manually, which often led to inconsistent decisions. This study aimed to develop a web-based decision support system to evaluate outlet cooperation systematically. A combination of Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied. Fuzzy AHP was used to determine the weight of criteria under uncertain conditions, while TOPSIS was used to rank alternatives based on their proximity to the ideal solution. The study involved 50 active outlets located in Surabaya and Solo branches. The final criteria weights obtained were Outlet Revenue (0.33), Rental Cost (0.26), Outlet Location (0.16), Accessibility (0.11), Competitiveness (0.08), and Operational Cost (0.06). The ranking process generated objective recommendations that were consistent with manual calculations. Functional testing using Black Box Testing indicated that all system features operated properly. The system proved effective and relevant in supporting accurate and efficient decision-making for outlet contract extensions.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN DAN PEMBELIAN MENGGUNAKAN FRAMEWORK LARAVEL DI DISTRIBUTOR MAKANAN DAN MINUMAN Permatasari, Vioneta Zarazsofia; Wibowo, Nur Cahyo; Hadiwiyanti, Rizka
ILTEK : Jurnal Teknologi Vol. 20 No. 02 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i02.306

Abstract

CV. Bukit Zaitun merupakan distributor makanan dan minuman ringan yang hingga kini masih mencatat transaksi secara manual di buku besar. Cara tersebut menimbulkan berbagai kendala, seperti kesalahan input, risiko hilangnya data, dan keterlambatan dalam penyusunan laporan. Berdasarkan catatan operasional, perusahaan memasarkan sekitar 800 produk dengan penjualan harian rata-rata 300–400 item, atau kurang lebih 2.800 produk setiap minggu. Tingginya frekuensi transaksi ini menunjukkan perlunya sistem pengelolaan yang lebih sistematis. Tujuan dari penelitian ini adalah membuat sebuah sistem informasi penjualan dan pembelian berbasis web menggunakan framework Laravel. Model pengembangan yang digunakan adalah Waterfall, meliputi tahapan komunikasi, perencanaan, perancangan, implementasi, pengujian, hingga penerapan. Sistem diuji menggunakan pendekatan Black Box Testing. Hasil uji menunjukkan semua fungsi berjalan sesuai kebutuhan. Produk akhir penelitian ini adalah sistem informasi berbasis web yang dilengkapi fitur registrasi, pengelolaan produk, pembelian ke supplier, pemesanan, checkout, unggah bukti pembayaran, verifikasi admin, serta laporan penjualan dan pembelian.
Implementasi MADM Dalam Sistem Pendukung Keputusan Pemilihan Kandidat Magang Social Media Specialist Menggunakan AHP-TOPSIS Pada PT.XYZ Farras Hafish Zidane; Rizka Hadiwiyanti; Iqbal Ramadhani Mukhlis
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.56

Abstract

This research aims to implement a Multi-Attribute Decision Making (MADM) approach using the AHP–TOPSIS method to assist PT. XYZ in selecting the most suitable intern candidate for the Social Media Specialist position. The increasing number of applicants each year makes the selection process more complex, requiring a systematic and data-driven decision support system. AHP was used to determine the priority weights of five main criteria—Interview, Experience, Portfolio, Skill, and Achievement—along with their subcriteria. All pairwise comparison matrices met the consistency requirements, indicating valid weights. The TOPSIS method was then applied to calculate the preference scores of ten candidate alternatives based on the weighted normalized decision matrix, ideal solutions, and distance measures. The results show that candidate A3 achieved the highest preference score (0.9422), followed by A7 and A8, making them the top recommended candidates. This study demonstrates that integrating AHP and TOPSIS effectively supports companies in conducting objective, efficient, and accurate recruitment decision-making processes.
Co-Authors Abdul Rezha Efrat Najaf Achmad Afandi Achmad Afandi Achmad Afandi Achmad Afandi Achmad Afandi, Achmad Adha, Didan Rizky Adin Nugroho, Himas Agung Brastama Putra Agussalim, Agussalim Alfayza, Dimas Amalia Anjani Arifiyanti Anindo Saka Fitri Arimawan, Kesya Sakha Nesya Asif Faroqi Asyari, Aisha Safa Ayu Ithriah, Syurfah Bagas Adil Putrajaya Budijanto Budijanto Chindy Hanggara Rosa Indah Dhian Satria Yudha Kartika Erlin Ayu Khrisnawati Erlin Ayu Khrisnawati Fadilah, Muhammad Reza Ishadi Farhan, Farrel Farras Hafish Zidane Ferry Kurniawan Ferry Kurniawan Gading Putri Diniarti Hadi Sugiyanto Herowati, Ayu Budy Heowati Indah, Chindy Hanggara Rosa Iqbal Ramadhani Mukhlis Isro Ani Widayanti Kamila, Syafiatul Kamilah, Ismiazzah M.Reza Ishadi Fadilah Marga Kusumantara, Prisa Mohamad Irwan Afandi Muhammad Januar Pribadi Murod, Alfin Murtadho Yanwar, Ringgo Nilwanda, Leona Elsa Noviardi P, Yovika Nugraha, Abrianto Paulus Rah Adi Pawitra Permatasari, Vioneta Zarazsofia Prasasti Karunia F. A Putri, Youlan Indira Radhyana Gayatri Faradilla Ramadhan, Jose Bagus Ratno Susanto Ratno Susanto Ratno Susanto Ridwandono, Doddy Sanyoko, Carisca Rizky Seftin Fitri Ana Wati Simanjorang, Veby Pebiola Br Suci, Tamariska Laras Sugiyanto, Hadi Suryantari, Putu Anggi Susanto, Ratno Titik Purwanti Tri Diana Rimadhani Tri Lathif Mardi Suryanto Uce Indahyanti Wahyuni, Eka Dyar Wasenanto, Bergas Wibowo, Annisa Raudya Wibowo Wibowo, Nur Cahyo Widayanti, Isro Ani Winarno Wisnu Mukti Darwansah Yuskhil Mushofi Yuskhil Mushofi Yusuf Al Ma'ruf, Achmad