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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Sinomika Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi
Salsabila, Rona
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Computer Science & IT Economics, Econometrics & Finance Engineering

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The Principle of Economic Justice and Its Implications for Economic Inequality in East Java Sholeha, Emarotus; Salsabila, Rona; Setianingrum, Nurul; Anggitaningsih, Retna
SINOMIKA Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi Vol. 3 No. 5 (2025)
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sinomika.v3i5.2407

Abstract

The principle of economic justice plays a crucial role in ensuring the equitable distribution of resources and promoting social and economic welfare. This article explores how the application of economic justice principles can help address economic inequality in East Java Province, focusing on the government's role in reducing regional disparities. Despite East Java’s rapid economic growth, inequalities between urban centers like Surabaya and rural areas such as Madura and Bojonegoro remain significant challenges. Through an in-depth literature review, this study identifies key principles of economic justice, such as the principles of distributional justice, balance, public benefit, and protection, which must be applied to achieve inclusive prosperity. The findings suggest that government efforts through programs like Direct Cash Assistance (BLT), agrarian reform, and the development of sectors such as tourism and local industries are crucial in reducing inequalities. However, the greatest challenges remain in bridging the infrastructure and human resource gaps between cities and rural areas. This study proposes a more coordinated approach between central and regional governments to ensure that the principles of economic justice are effectively implemented across the province, allowing all segments of society to benefit from sustainable economic growth.
Implementasi Topsis untuk Menentukan Rekomendadi Makanan Anak Usia 1-3 Tahun pada Sistem Monitoring Tumbuh Kembang Anak Pradana, Fajar; Bachtiar, Fitra A.; Salsabila, Rona
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 4: Agustus 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021844370

Abstract

 AbstractPenting bagi orang tua untuk memperhatikan pertumbuhan anak secara teratur terutama pada saat periode emasnya. Usia emas pada anak berada pada saat 1000 hari pertama sejak kelahiran atau hingga anak berusia 2 tahun, tumbuh kembang anak dapat meningkat sangat signifikan pada usia ini. Pertumbuhan anak dapat maksimal apabila nutrisi yang diberikan juga tepat sejak usia lahir sampai 3 tahun. Stunting (kerdil) merupakan salahsatu penyakit yang disebabkan karena kurangnya nutrisi pada anak. Stunting adalah sebuah kondisi dimana bayi memiliki panjang dan tinggi badan yang lebih rendah daripada bayi pada umumnya. Pola asuh orang tua terhadap bayi secara mandiri menjadi sangat diperlukan. Untuk membantu orang tua dalam memantau tumbuh kembang anak serta mengurangi peningkatan jumlah bayi stunting maka dibangun sistem monitoring tumbuh kembang anak berbasis web. Pada sistem ini terdapat fitur untuk memberikan rekomendasi makanan berdasarkan  kebutuhan kalori setiap anak. Dalam menentukan rekomendasi makanan diperlukan metode Sistem Pendukung Keputusan (SPK) sesuai dengan kebutuhan kalori anak. Dalam penerapan SPK, terdapat metode yang dapat digunakan untuk melakukan analisis data antara lain adalah metode Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Alternatif yang digunakan meliputi nama makanan yang dapat dikonsumsi oleh anak usia 1 sampai dengan 3 tahun. Sedangkan kriteria yang digunakan adalah kalori yang didalamnya terdapat karbohidrat, lemak, protein, dan kalsium. 3. Hasil perankingan yang diberikan oleh TOPSIS pada telah berhasil memberikan perankingan dengan nilai yang berbeda-beda, kecuali pada beberapa alternatif. Hal itu dikarenakan kesamaan nilai dari kedua alternatif pada setiap kriteria.  AbstractIt is important for parents to pay attention to the growth of the child in the golden period. The golden age in children remains in the first 1000 days from birth or until the child is born 2 years, child growth and development can increase very significantly at this age. The number of children who can reach a maximum age of 3 years. Stunting is a disease that causes nutritional deficiencies in children. Stunting is a place where babies have a lower length and height than a baby's place in general. Parenting for independent babies is needed. To help parents in developing child growth and development also increase the number of stunting babies a web-based growth and development monitoring system was built. This system provides features to provide food recommendations based on the calorie needs of each child. In determining food recommendations, a Decision Support System (SPK) method is needed in accordance with the calorie needs of children. In the application of SPK, methods that can be used to analyze data include the Technical Method for Preference Order with Similarity to Ideal Solution (TOPSIS). The alternatives used are the names of foods that can be consumed by children aged 1 to 3 years. While the criteria used are calories in fat, fat, protein, and calcium. 3. The ranking results given by TOPSIS have succeeded in ranking them with different values, except for a number of alternatives. That's because it considers the value of the two alternatives on each criterion. 
Pemeringkatan Pencarian pada Buku Pedoman Akademik Filkom UB Menuju Merdeka Belajar dan Free E-Book Pembelajaran Sebagai Prototype Local Smart Micro Search Engine Menggunakan Algoritma Pagerank dan TF-IDF Cholissodin, Imam; Sa’rony, Akhmad; Salsabila, Rona; Firmansyah, Ilham; Mahardika, Guedho Augnifico; Pardede, Andreas; Alaydrus, Zaien Bin Umar
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 5: Oktober 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021854384

Abstract

Buku Pedoman Akademik FILKOM Universitas Brawijaya merupakan suatu kebutuhan informasi akademik yang cukup penting, dan juga buku penunjang pembelajaran seperti Free e-Book bagi para mahasiswa. Untuk memperoleh informasi yang relevan terhadap query yang diberikan seringkali belum sesuai dengan kebutuhan pencarian pengguna. Pengguna harus menguasai secara keseluruhan untuk mengetahui dokumen mana yang paling sesuai, dan proses ini akan memakan waktu yang banyak. Sistem ini mampu memberikan rekomendasi dokumen sesuai dengan hasil perhitungan pemeringkatan teks. Proses pemeringkatan teks dapat diselesaikan dengan algoritma PageRank, di mana dokumen yang memiliki bobot pemeringkatan terkecil, memiliki kata terbanyak pada dokumen tersebut. Algoritma ini telah dibuktikan mampu memeberikan feedback dokumen yang relevan melalui dua tahap pengujian. Evaluasi yang dilakukan terhadap dua buah pengujian menghasilkan rata-rata nilai recall tertinggi yaitu 80.6% pada data ke-1, dan data ke-2 didapatkan korelasi terbaik antara precision, recall dan f-measure sebesar 0,98, 0,99, 0,99. AbstractThe Brawijaya University FILKOM Academic Handbook is an important academic information need, as well as learning support books such as Free e-Books for students. To obtain information that is relevant to the query given is often not in accordance with the wishes of the user. Users must master the whole to find out which documents are most suitable, which is where the process will take a lot of time. This system is able to provide document recommendations in accordance with the results of the text ranking calculation. The process of ranking the text can be solved by the PageRank algorithm, where documents that have the smallest ranking weight, have the most words in the document. This algorithm has been proven to be able to provide feedback on relevant documents through two stages of testing. he evaluation conducted on the two tests resulted in the highest average recall value of 80.6% on the 1st dataset, and 2nd dataset the best correlation was obtained between precision, recall and f-measure of 0.98, 0.99, 0.99.
Co-Authors Alaydrus, Zaien Bin Umar Anggitaningsih, Retna Fajar Pradana Firmansyah, Ilham Fitra Abdurrachman Bachtiar Imam Cholissodin Mahardika, Guedho Augnifico Pardede, Andreas Sa’rony, Akhmad Setianingrum, Nurul Sholeha, Emarotus