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NILAI-NILAI DAKWAH; AKTIVITAS IBADAH DAN PERILAKU SOSIAL Umi Hayati
INJECT (Interdisciplinary Journal of Communication) Vol 2, No 2 (2017)
Publisher : IAIN Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (169.322 KB) | DOI: 10.18326/inject.v2i2.175-192

Abstract

Preaching creates behavior of Muslims in practising Islam as the religion of rahmatan lil’alamin that should be spread to all mankind. The activity of worship is closely related to social behavior of students. Presumably, the intensive activity of worship is in line with rigorous social behavior. The activity of worship actually indicates the level of faith and devotion to God, so it will create humans with noble characters in individual and social life. The sample indicators are the offers of the main and additional prayers. If prayers are performed actively, they will bring positive attitudes to stay away from shamful and dishonor acts. It means that prayers will lead humans to have noble behaviours and social interaction.AbstrakDakwah menjadikan perilaku Muslim dalam menjalankan Islam sebagai agama rahmatan lil’alamin yang harus didakwahkan kepada seluruh manusia. Aktivitas ibadah sangat erat hubungannya dengan perilaku sosial para siswa,dengan kesimpulan bahwa aktivitas ibadah yang tinggi maka perilaku sosial juga tinggi. Ini semua karena aktivitas ibadah menunjukkan tingkat keimanan dan ketaqwaan pada Allah sehingga tercipta manusia yang berakhlak mulia dalam kehidupan individu maupun bermasyarakat. Contohnya pada indikator mengerjakan salat wajib dan sunah. Ibadah salat jika dilakukan dengan aktifakan mampu melahirkan sikap positif yaitu menjauhi perbuatan yang keji dan mungkar. Ini ada kaitanya, apabila ibadah salat dikerjakan dengan aktif maka seseorang akan berperilaku baik dalam interaksi sosial
PENGELOMPOKAN KEPUASAN LAYANAN PERIZINAN BADAN KESATUAN BANGSA DAN POLITIK KOTA CIREBON Yayuk Sri Rismatuti Yayuk Sri Rismatuti; , Ruli Herdiana herdiana; Ryan Hmonangan; Umi Hayati; Tuti Tuti Suprapti
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 13 No 2 (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i2.466

Abstract

Kedudukan dan peran Badan Kesatuan Bangsa dan Politik Kota Cirebon yang sangat penting sebagaimana disebutkan PERDA Nomor 8 Tahun 2011 tentang struktur Organisasi dan Tata Kerja Badan Kesatuan Bangsa dan Politik Kota Cirebon merupakan salah satu Satuan Kerja Perangkat Daerah SKPD yang urusannya secara tegas dimanatkan dalam Undang-Undang Dasae 1945 yaitu untuk melaksanakan sebagian urusan pemerintah, yaitu urusan pembangunan bidang kesatuan bangsa dan politik guna mencapai tujuan bersama. Setiap jenis pelayanan akan melakukan survey Indeks Kepuasan Masyarakat. Kepuasan pelayananan dapat diukur menggunakan berbagai metode pengukuran. Dalam pengelompokan kepuasan layanan perizinan badan kesatuan bangsa dan politik kota Cirebon penulis ingin menggunakan proses data mining algoritma K Mean. Pada tahap tugas akhir ini menggunakan proses data mining knowledge discovery database KDD. Dalam penerapan Tugas akhir ini dengan menggunakan data sebanyak 115 responden dari kriteria kuesoner Survei Kepuasan Masyarakat. Ada 9 kriteria yaitu prosedur pelayanan, waktu pelayanan, tarif pelayanan, produk pelayanan, kemampuan petugas, perilaku petugas, kualitas sarana prasaranan, dan pengaduan pelayanan. Dari kriteria tersebut penulis akan mengolah menjadi 4 cluster performance. Adapaun proses pengelolaannya menggunakan software rapidminer versi 9.10. dengan operator retreview data, cluster K Mean, dan performance.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF PADA MATERI PENDIDIKAN AGAMA ISLAM BERBASIS ANDROID UNTUK KELAS 4 SEKOLAH DASAR Roni Faturany; Umi Hayati; Fadhil Muhammad Basysyar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.381

Abstract

The purpose of this study is to create an interactive learning medium based on Android. using Adobe flash cs6 to support learning in the current pandemic era. The development model used is the ADDIE model. There are four stages of the ADDIE development procedure, namely Analysis, Design, Development, Implementation, and Evaluation, this method is to produce and develop tested and empirical products. Lack of knowledge and use of technology makes elementary school students when doing learning from many who are lazy, causing a decrease in the achievement value of these students. So we need this Android-based interactive learning media to increase the spirit of learning in this pandemic era. This study aims to develop interactive learning media on Android-based Islamic religious education to keep students' values ??stable in Islamic religious education subjects. The results of this study are expected to be used by SD Negeri 2 Patuanan for learning media during the pandemic and continue to improve students to study hard. Keywords: Islamic religious education, Covid 19, Interactive Learning Media
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF PADA MATERI PENDIDIKAN AGAMA ISLAM BERBASIS ANDROID UNTUK KELAS 4 SEKOLAH DASAR Roni Faturany; Umi Hayati; Fadhil Muhammad Basysyar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.381

Abstract

The purpose of this study is to create an interactive learning medium based on Android. using Adobe flash cs6 to support learning in the current pandemic era. The development model used is the ADDIE model. There are four stages of the ADDIE development procedure, namely Analysis, Design, Development, Implementation, and Evaluation, this method is to produce and develop tested and empirical products. Lack of knowledge and use of technology makes elementary school students when doing learning from many who are lazy, causing a decrease in the achievement value of these students. So we need this Android-based interactive learning media to increase the spirit of learning in this pandemic era. This study aims to develop interactive learning media on Android-based Islamic religious education to keep students' values ??stable in Islamic religious education subjects. The results of this study are expected to be used by SD Negeri 2 Patuanan for learning media during the pandemic and continue to improve students to study hard. Keywords: Islamic religious education, Covid 19, Interactive Learning Media
Usability Scale System Method on Convogenius Platform for MSME Business Optimization Syaiful Imanudin; Rudi Kurniawan; Umi Hayati
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.810

Abstract

Usability is a critical factor in the successful adoption of technology, particularly for AI-based platforms designed to support micro, small, and medium enterprises (MSMEs). Convogenius AI is developed to assist MSME operations, yet its effectiveness and user-friendliness must be evaluated. This study aims to assess the usability of the Convogenius AI platform using the System Usability Scale (SUS) method and identify areas requiring improvement. The research employs a SUS survey to measure aspects such as ease of use, functional integration, and the need for technical support. The findings reveal favorable SUS scores for ease of use (average 3.04) and user intention to repeatedly use the platform (average 3.05). However, deficiencies are noted in system complexity (average 2.96) and technical support requirements (average 2.95). Overall, Convogenius AI is accepted by MSME users but requires enhancements in interface design and consistency to improve user experience. These improvements can potentially increase user satisfaction and support the operational efficiency of MSMEs.
Analisis Data Hasil Laporan Skripsi Berbasis Aspect Based Sentiment Analysis Menggunakan Algoritma K-Means Clustering Nana Suarna; Dadang Sudrajat; Umi Hayati; Ade Rizki Rinaldi; Agus Bahtiar
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study discusses the application of Aspect-Based Sentiment Analysis (ABSA) combined with the K-Means Clustering algorithm to analyze student thesis report data. The research scope includes text data processing from VAK (Visual, Auditory, Kinesthetic) learning style questionnaires to identify research aspects and automatically group thesis themes. The objective is to obtain a structured and representative mapping of students’ research themes based on their fields of study. The methodology involves several stages, including text preprocessing, TF-IDF weighting, aspect extraction using ABSA, and clustering with K-Means, validated through the Davies-Bouldin Index (DBI). The dataset consists of 976 textual entries derived from student questionnaire responses. The results indicate that the optimal cluster is achieved at k = 3 with a DBI value of 3.276, forming three main groups: (1) data mining, (2) statistical analysis, and (3) learning technology. The study concludes that the combination of ABSA and K-Means is effective in accurately classifying research themes and provides an analytical foundation for academic decision-making regarding student research trends.
Penerapan Algoritma K-Means Clustering Untuk Mengelompokan Siswa SMK Al-Ma’rifah Berdasarkan Kehadiran Dila Nurhafidilah; Nana Suarna; Agus Bahtiar; Umi Hayati; Fatihanursari Dikananda
Jurnal Sistem Informasi dan Teknologi Vol 6 No 1 (2026): Jurnal Sistem Informasi dan Teknologi (SINTEK)
Publisher : LPPM STMIK KUWERA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56995/sintek.v6i1.212

Abstract

Penelitian ini bertujuan untuk mengelompokkan siswa SMK Al-Ma’rifah berdasarkan pola kehadiran menggunakan algoritma K-Means Clustering. Data yang dianalisis merupakan catatan kehadiran siswa tahun ajaran 2023/2024 yang meliputi jumlah hadir, izin, sakit, alfa, dan persentase kehadiran. Tahapan pra-pemrosesan data dilakukan melalui pembersihan dan normalisasi sebelum proses clustering. Penentuan jumlah klaster optimal menggunakan Elbow Method dan Silhouette Coefficient menunjukkan bahwa tiga klaster merupakan struktur terbaik. Hasil pengelompokan menghasilkan tiga kategori siswa, yaitu sangat disiplin, cukup disiplin, dan kurang disiplin. Evaluasi kualitas klaster menggunakan Silhouette Score dan Davies–Bouldin Index menunjukkan pemisahan klaster yang baik. Penelitian ini membuktikan bahwa K-Means Clustering efektif dalam mengidentifikasi pola kehadiran siswa dan  dapat mendukung pengambilan keputusan sekolah berbasis data dalam meningkatkan kedisiplinan siswa.
Penerapan Algoritma K-Means Clustering Untuk Mengelompokan Siswa SMK Al-Ma’rifah Berdasarkan Kehadiran Dila Nurhafidilah; Nana Suarna; Agus Bahtiar; Umi Hayati; Fatihanursari Dikananda
Jurnal Sistem Informasi dan Teknologi Vol 6 No 1 (2026): Jurnal Sistem Informasi dan Teknologi (SINTEK)
Publisher : LPPM STMIK KUWERA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56995/sintek.v6i1.212

Abstract

Penelitian ini bertujuan untuk mengelompokkan siswa SMK Al-Ma’rifah berdasarkan pola kehadiran menggunakan algoritma K-Means Clustering. Data yang dianalisis merupakan catatan kehadiran siswa tahun ajaran 2023/2024 yang meliputi jumlah hadir, izin, sakit, alfa, dan persentase kehadiran. Tahapan pra-pemrosesan data dilakukan melalui pembersihan dan normalisasi sebelum proses clustering. Penentuan jumlah klaster optimal menggunakan Elbow Method dan Silhouette Coefficient menunjukkan bahwa tiga klaster merupakan struktur terbaik. Hasil pengelompokan menghasilkan tiga kategori siswa, yaitu sangat disiplin, cukup disiplin, dan kurang disiplin. Evaluasi kualitas klaster menggunakan Silhouette Score dan Davies–Bouldin Index menunjukkan pemisahan klaster yang baik. Penelitian ini membuktikan bahwa K-Means Clustering efektif dalam mengidentifikasi pola kehadiran siswa dan  dapat mendukung pengambilan keputusan sekolah berbasis data dalam meningkatkan kedisiplinan siswa.