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All Journal Jurnal Transformatika Al-Ihkam: Jurnal Hukum dan Pranata Sosial Pendas : Jurnah Ilmiah Pendidikan Dasar JITU : Journal Informatic Technology And Communication Jurnal Media Akademik (JMA) Aslama Jurnal DIMASTIK Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory Interdisciplinary Explorations in Research Journal (IERJ)
Nur Wakhidah
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Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Journal : Jurnal Transformatika

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Sistem Pendukung Keputusan Penerima Bantuan Sosial dengan AHP dan MOORA Setiawan Adi Nugroho; Nur Wakhidah
Jurnal Transformatika Vol. 23 No. 1 (2025): July 2025
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v23i1.12244

Abstract

Poverty is a multidimensional problem that requires prompt and appropriate handling to maintain a dignified human life. In Manyaran Sub-district, Semarang City, the distribution of social assistance often faces obstacles due to limited human resources and a manual selection process for recipients. Therefore, a Decision Support System (DSS) is needed to assist the selection process in a more objective and efficient manner. This study aims to develop a DSS for determining social assistance recipients in Manyaran Sub-district by combining the Analytic Hierarchy Process (AHP) and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) methods. AHP is utilized to determine the weight of each criterion, while MOORA is used to calculate the final score of each recipient candidate. The results show that among the ten analyzed candidates, the individual coded P09 achieved the highest final score of 0.575. The top five candidates with the highest scores were declared eligible to receive social assistance, while the others were declared ineligible. The application of the AHP and MOORA methods in this DSS effectively improves the accuracy, objectivity, and efficiency of the selection process for social assistance recipients in Manyaran Sub-district.  
Klasifikasi Akun Palsu Pada Pengikut Akun Rental Cosplay Averentcos Di Instagram Menggunakan Metode K-Nearest Neighbour (KNN) Mufrodi, Hafidz; Odi, Hafidz Mufrodi S.Kom.; Nur Wakhidah; Prind Triajeng Pungkasanti
Jurnal Transformatika Vol. 23 No. 2 (2026): January 2026
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v23i2.12287

Abstract

Technological advances have given business people several options to develop their business. One of them is using Instagram social media as a promotional tool. However, using social media as a promotional medium has its own problems. Fake accounts spread on Instagram can reduce the reach of business accounts. Until now, there are more than millions of fake accounts. Instagram continues to increase its efforts to detect and delete these fake accounts. This study was conducted to be able to classify accounts suspected of being fake accounts on the followers of the averentcos account using the k-NN method. The data used were 500 follower accounts with various backgrounds. This study used several variables, namely Profile Photo, Username Length, Number of Name Words, Similarity of Name to Username, Bio Length, External Links, Public Accounts, Number of Posts, Number of Followers, Number of Followed so that accuracy of 86,666% can be achieved.
Co-Authors Ahmad Rizky Firdaus Ahmad Subakir Akmal Rizqan Rafliansyah Angela Baptista Bernadine Frederica Aning Wida Yanti Aysah Baptista, Angela Dian Nur Ulifatul Mahmudah Ergina Faralita Henri Septa Maulana Jalaluddin Jalaluddin Khoirotul Ummah Mida Mar`atus Sholihah Miftakhur Rahman Mufrodi, Hafidz Muhammad Yusman Mujiburohman Abas Nailil Inayah Nurul Siti Mukaromah Nurwijayanti Odi, Hafidz Mufrodi S.Kom. Prind Triajeng Pungkasanti, Prind Triajeng Qamaruddin Raihanah Abdullah Rasyid Rizani Rizqy Dhafin Son Hajee Rofika Dwi Permata Sari Rudat Ilaina Alwanda Safira Nurfiani Safitri Fauzi Salma Ambarwati Sekar Ayu Rahmawati Setiawan Adi Nugroho Sri Hidayati L. Wahyuni Fajar Arum Yosua Danny Santana Zulfa Jamalie