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All Journal DINAMIKA: Jurnal Kajian Pendidikan dan Keislaman Faktor Exacta Jurnal SOLMA Sebatik JURNAL PENGABDIAN KEPADA MASYARAKAT Sosio e-kons Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Education Technology Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat SAP (Susunan Artikel Pendidikan) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JISICOM (Journal of Information System, Infomatics and Computing) Prosiding SNAST International Journal of Economics, Management, Business, and Social Science Ilomata International Journal of Social Science Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Nasional Teknologi Komputer Jurnal Abdimas Le Mujtamak Journal of Islamic Education Studies Jurnal Rekayasa Komputasi Terapan Kapas: Kumpulan Artikel Pengabdian Masyarakat Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang Dawuh: Islamic Communication Journal Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) SAP (Susunan Artikel Pendidikan) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Rayung Wulan
Universitas Indraprasta PGRI
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Penerapan Metode Topsis dalam Sistem Pendukung Keputusan Penerimaan Bantuan Sosial di Kelurahan Tapos Depok Alvarizy, Riky; Wulan, Rayung; Mardika, Putri Dina
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 10, No 1 (2026): SEMNAS RISTEK 2026
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v10i1.8525

Abstract

Proses seleksi penerima bantuan sosial di Kelurahan Tapos Depok masih dilakukan secara manual, sehingga memakan waktu lama dan rentan subjektivitas. Hal ini menimbulkan masalah efektivitas dan ketepatan sasaran penerima bantuan. Berdasarkan hal tersebut, rumusan masalah penelitian ini adalah bagaimana merancang sistem pendukung keputusan yang objektif, cepat, dan sistematis menggunakan metode TOPSIS. Penelitian ini bertujuan menerapkan metode TOPSIS dalam sistem seleksi penerima bantuan sosial dengan kriteria penghasilan, jarak, jumlah anggota keluarga, usia, dan kelompok rentan. Sistem dibangun menggunakan Java dan MySQL dengan pendekatan kuantitatif melalui tahapan normalisasi, pembobotan, penentuan solusi ideal, perhitungan jarak, dan perangkingan. Hasil penelitian menunjukkan kriteria dengan bobot terbesar adalah penghasilan (0,30), diikuti jarak (0,25), jumlah anggota keluarga (0,20), usia (0,15), dan kelompok rentan (0,15). Sistem mampu menghasilkan peringkat penerima bantuan secara objektif dengan nilai preferensi tertinggi 0,175 serta meningkatkan kecepatan, akurasi, dan mengurangi subjektivitas dalam proses seleksi. 
Penerapan Metode K-Means untuk Pengelompokan Data Penjualan Produk pada Toko Uber Moro 2 Kurniansyah, Alfath Adil; Wulan, Rayung; Niswati, Za'imatun
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 10, No 1 (2026): SEMNAS RISTEK 2026
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v10i1.8514

Abstract

Penelitian ini dilakukan untuk membantu Toko Uber Moro 2 dalam mengelola data penjualan produk yang semakin kompleks menjadi lebih sistematis dan efisien melalui penerapan metode K-Means. Tujuan dari penelitian ini adalah membangun sistem analisis yang mampu mengelompokkan produk berdasarkan performa penjualannya. Metode K-Means dipilih karena kemampuannya dalam mengelompokkan data berdasarkan kemiripan nilai dari jumlah produk terjual dan total transaksi produk selama 3 bulan terakhir. Proses iteratif K-Means menghasilkan klaster dengan karakteristik serupa, sehingga memudahkan identifikasi pola penjualan. Hasil pengujian menunjukkan bahwa sistem mampu membagi ke dalam tiga kategori penjualan: tinggi, sedang, dan rendah. Secara rinci, terdapat 14 produk dengan penjualan tinggi, 10 produk dengan penjualan sedang, dan 16 produk dengan penjualan rendah. Sistem ini mempermudah pemilik toko dalam melaksanakan operasional toko seperti pengelolaan stok maupun promosi produk secara lebih efektif.
Peningkatan Kualitas Pendidikan pada Satuan Pendidikan Melalui Perencaan Berbasis Data Eddy Saputra; Rayung Wulan; Nur Ali; Hasan Özalp
SAP (Susunan Artikel Pendidikan) Vol. 10 No. 2 (2025): SAP
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/sap.v10i2.698

Abstract

Improving the quality of education is the main focus in efforts to create superior and adaptive educational units to the dynamics that occur. One of the strategic approaches currently being promoted by the government is the implementation of Data-Based Planning (PBD). This approach allows educational units to make decisions that are more objective, measurable, and in accordance with real needs in the field. With the effective implementation of Data-Based Planning, educational units are expected to be able to improve the quality of learning, educational services, and the achievement of student learning outcomes in a sustainable manner. The research method used is qualitative with a case study approach that is intended to find out in detail the problems faced. This study aims to examine the implementation of Data-Based Planning in improving the quality of education in the Central Jakarta 1 Senior High School environment, as well as to identify the challenges faced and strategies that can be developed. The results of the study show that although most schools have access to educational data, its use in the planning process is still not optimal. Factors such as low data literacy, limited training, and lack of a reflection-based work culture are the main obstacles. Therefore, it is necessary to strengthen the capacity of human resources and support systems that encourage maximum data utilization in the planning and evaluation of school programs.
Dynamics and Trends of Political Communication Research in the Information Technology Landscape: Bibliometric Analysis with VOSviewer Astriana Baiti Sinaga; Rayung Wulan
DAWUH : Islamic Communication Journal Vol. 7 No. 2 (2026): July
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/dawuh.v7i2.2013

Abstract

This study aims to analyze the dynamics and trends of political communication research in the information technology landscape through a bibliometric approach. Data were obtained from the Scopus database with selection criteria consisting of journal articles and proceedings published between 2016 and 2026 using Publish or Perish 8. The analysis process was carried out through the stages of data collection, filtering based on relevance, and mapping and visualization using VOSviewer software. The analysis focused on publication patterns, author collaborations, and the development of emerging research themes. The results show that political communication studies have experienced significant developments along with the rapid transformation of information technology, particularly related to social media, disinformation, and digital political participation. The bibliometric map indicates the existence of main clusters reflecting the research focus on issues of digital democracy, platform-based political campaigns, and the influence of algorithms on public opinion. Furthermore, recent trends point to the integration of technologies such as big data and artificial intelligence in political communication analysis. These findings contribute to identifying future research directions and open up opportunities for developing more interdisciplinary and contextual studies. This research contributes to identifying future research directions that are more technology-based.
Digital Shift: Optimizing Sika LMS in Digital Communication Technology Education to Encourage Students' Discipline and Productivity in Reaching Goals Rayung Wulan; Sunarto Sunarto; Kholil Kholil
Journal of Education Technology Vol. 9 No. 2 (2025): May
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i2.97014

Abstract

The shift towards digitalization in higher education learning is marked by developments in communication technology and the transition from computer-mediated communication (CMC) to digital technology-based learning. This change has had a significant impact on improving student achievement and timely graduation. The study aims to analyze and explain the variables that are problems in the digital shift in digital technology-based learning patterns in SIKA LMS media and efforts to encourage Unindra informatics engineering students to achieve timely graduation by adopting the CMC (Computer Mediated Communication) theory. The method uses a comparative analysis approach by comparing and contrasting data based on categories and variables. Data collection involves interviews with students, blended learning managers, and lecturers. The interview results were processed with Computer-Assisted Qualitative Data Analysis Software (CAQDAS), Maxqda Analytics application, by identifying metadata, tabulation factor collection, coding system, and frequency of relations. The results of this study indicate that the Code model tendency obtained by a digital shift in the discipline of using digital technology has a very significant role in the change of learning patterns to achieve student graduation productivity; these results are input for higher education institutions in the current digitalization.
Sistem Pendukung Keputusan Penentuan Stok Kebutuhan Barang Berbasis Web dengan Meninjau Tren Penjualan di Toko Prima Subang Ela Nurdianti; Alusyanti Primawati; Rayung Wulan
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 01 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i01.680

Abstract

The procurement process is an activity that greatly affects the operations of a store or company. Toko Prima, as one of the household appliance stores in Subang, West Java, faces several challenges in terms of product management every month, particularly in managing inventory and procurement. This situation makes it difficult for Toko Prima to optimize profits, as it is difficult to identify items or products with profitable sales patterns for repurchasing. To overcome this problem, an analysis of sales trends based on past data is needed, which can show sales patterns within a certain time frame. This analysis uses the least squares method. The results of this analysis are used in product ranking, which is calculated using the Simple Additive Weighting (SAW) method, to provide recommendations in the goods procurement process. The product ranking will highlight products with a high restocking priority. We hope to overcome the problems faced by Prima stores by combining sales trend analysis and product ranking. The PHP programming language implements these two analysis methods in a web-based application. The result of this research is a web-based Decision Support System, with the aim of obtaining recommendations for the goods procurement process based on sales trend analysis.
Co-Authors abdul mufti Abdul Mufti Abdul Mufti Abdul Salam Yunus Achmad Sarwandianto Adam Shifaurrohman Agus Riyanto Agus Riyanto Ahmad Haries Ahmad Haris Ali, Nur Ali, Nur Alusyanti Primawati Alvarizy, Riky Andriansyah, Ricky Ardhi Dinullah Baihaqie Dinullah Baihaqie ARI IRAWAN Arifin, Nur Alam Astriana Baiti Sinaga Aswin Fitriansyah Aswin Fitriansyah Attar, Vazza Aldin Aulia Ar Rakhman A Aulia Rizqi Wahidah Baihaqi, Ardhi Dinullah Bondan Dwi Hatmoko Dwi Nurmita Sari Eddy Saputra Eddy Saputra Ek Ajeng Rahmi Pinahayu Ela Nurdianti Elfitria Wiratmani Elfitria Wiratmani Fitriansyah, Aswin Gugum Gumilar Hasan Özalp Irfan Adrianto Irmawati Irmawati Irwan Agus Karyati, Zetty Kholil Kholil Kurniansyah, Alfath Adil Marlina, Dwi Mayta Mandasari Mei Lestari Mei Lestari mufti, abdul Muhajir, Achmad Muhammad Pujo Santoso Nafiah Ariyani, Nafiah Nenu Amalia Ni Wayan Parwati S Ni Wayan Parwati S. Ni Wayan Parwati Septiani Niswati, Za'imatun Nur Alamsyah Nur Ali Nur Ali Nur Ali Osadi, Qori Sekenawan Parutian, Muhamad Mora Putri Dina Mardika Putri, Larasati Ayu RACHMAT RACHMAT Ridwan Usman Rismawati, Nofita Riyanto, Agus Ryan Rivaldi Saputra Dwi Nurcahya Saputra, Aswin SAPUTRA, EDDY Saputra, Suranto Satmoto, Bambang Setiawan, Erlangga Sigit Indra Prianto Siti Ayu Kemala Soty, Cynthia Sri Endang Wahyuni Sri Sugesma Wardani Sunarto Sunarto Suranto Saputra Suranto Saputra Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno Udi Rusadi Widaningsih, Themotia Titi Yanuar, Fit Yogi Bachtiar Yossi Indrawati Syuhardi Yulianingsih, Yulianingsih Zulkifli Fadilah