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All Journal JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi MEDIA BINA ILMIAH SINTECH (Science and Information Technology) Journal Journal on Education Jurnal Informatika Global Prosiding Seminar Nasional Multidisiplin At-Thullab : Jurnal Pendidikan Guru Madrasah Ibtidaiyah Jurnal Inovasi Penelitian Inspirasi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Media Bina Ilmiah Journal of Research Applications in Community Services
Ita Aristia Sa’idah
Universitas Nahdlatul Ulama Sunan Giri
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Persepsi Mahasiswa Teknik Informatika Terhadap Perkuliahan Daring Sebagai Sarana Pembelajaran Selama Pandemi Covid-19 Ita Aristia Sa’ida; Sahri Sahri; Mula Agung Barata
Journal on Education Vol 6 No 1 (2023): Journal On Education: Volume 6 Nomor 1 Tahun 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i1.3113

Abstract

With the COVID-19 pandemic, universities in Bojonegoro Regency, especially Nahdlatul Ulama Sunan Giri University, are conducting online lectures. In the implementation of learning, it is different from conventional lectures so that the use of learning models determines the effectiveness of online lectures during the COVID-19 period. This study examines the perceptions of Informatics Engineering students' learning models through approaches to the use of learning media in online lectures, learning communication models, learning styles, and the effectiveness of online lectures. This research is specifically for Informatics Engineering students whose learning is not only limited to delivering material but needs to be carried out in practicum both in the laboratory and in the field. Along with the online learning process, some material that should have been carried out by research had to not be carried out. Given these obstacles, student perceptions regarding the effectiveness of online lectures that lead to learning models with learning media approaches, communication models, learning styles among Informatics Engineering students in Bojonegoro Regency determine the success of this learning process. With this, researchers examine the perceptions of Informatics Engineering students towards online lectures during the COVID-19 pandemic. This research was conducted to determine student perceptions of online learning. This research uses Descriptive Analysis, namely to examine the perceptions of Informatics Engineering students regarding online learning models during the COVID-19 pandemic. Which online learning model can be known through several approaches, such as online learning media, learning communication models, learning styles and the effectiveness of online learning. Data obtained from observations in the form of giving online questionnaires. The samples involved were Informatics Engineering students at Nahdlatul Ulama University Sunan Giri Bojonegoro as respondents in this study. The output targeted in this study is Sinta 4 indexed National Journal Publications with research TKT 3.
Meningkatkan Ekonomi Melalui Usaha Keripik Tempe di Desa Bayemgede Kecamatan Kepohbaru Kabupaten Bojonegoro M. Iqbal Tawakkal; Ita Aristia Sa’ida; Nurul Huda; Nurul Maratus Sholihah
Journal of Research Applications in Community Service Vol. 2 No. 2 (2023): Journal of Research Applications in Community Service
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/jarcoms.v2i2.1394

Abstract

Desa Bayemgede terletak di ujung kabupaten kecamatan kepohbaru. Keberadaan lokasi tersebut, menjadikan desa Bayemgede lebih beragam dan memiliki potensi dalam berbagai bidang yakni segi pendidikan, ekonomi, keagamaan, dan kesehatan. Tujuan penelitian ini adalah untuk mengetahui kondisi bidang pendidikan, ekonomi, keagamaan, dan kesehatan. Metode dalam penelitian ini adalah melakukan observasi, analisis, dan mapping data. Hasil penelitian potensi dari bidang pendidikan, ekonomi, keagamaan, dan kesehatan mengalami peningkatan yang dibuktikan dengan etika perilaku masyarakat, menciptakan produk kripik tempe Bayemgede untuk UMKM, lebih relegius, dan lebih sadar akan hidup sehat. Kesimpulan dengan adanya KKN Unugiri Di Desa Bayemgede mengalami peningkatan dalam kehidupan masyarakat di berbagai bidang pendidikan, ekonomi, agama, dan kesehatan.
Algoritma K-Means untuk Mengelompokkan Tingkat Pengangguran Terbuka (TPT) menurut Provinsi di Indonesia Agus Bima Saputra; Ucta Pradema Sanjaya; Ita Aristia Sa’ida
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.4359

Abstract

Unemployment is one of the main problems faced by many countries, including Indonesia. The Open Unemployment Rate (OER) is an important indicator used to measure the amount of labor force that is not absorbed in the labor market. This research aims to Cluster the provinces in Indonesia based on unemployment rate and school enrollment rate, so as to provide a clearer picture of the distribution of unemployment in different regions: The study identified three main Clusters: Cluster 1: Provinces with high unemployment rates. Cluster 2: Provinces with a medium unemployment rate. Cluster 3: Provinces with low unemployment rates. Distribution: The Clustering results show that 13 provinces are included in Cluster 1, 18 provinces in Cluster 2, and 3 provinces in Cluster 3. This study found that the K-Means algorithm is effective in Clustering provinces based on TPT and school enrollment rates. The Clustering results show significant variation between provinces, with some provinces having higher unemployment rates and lower school enrollment than others.This study successfully Clustered Indonesian provinces based on unemployment and school enrollment rates using the K-Means algorithm. The Clustering results provide valuable insights into the distribution of unemployment in Indonesia and can be used as a basis for more effective policy making.
Co-Authors Agus Bima Saputra Ainu Zuhriyah Ayu Mauliana Intahaya Barata, Mula Agung Devi Dwi Nuraliza Diah Anggraini M. Iqbal Tawakkal Mochamad Nizar Palefi Ma’ady Mochamad Nizar Palefi Ma’ady Muhammad Adib Asrori Muhammad Zaenal Abidin Nawafila Februyani Nurul Huda Nurul Maratus Sholihah Sahri Sahri Siti Cholifah Sunu Wahyudhi Ucta Pradema Sanjaya Zeti Novitasari