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All Journal Ta'dib: Jurnal Pendidikan Islam dan Isu- isu Sosial Jurnal Kependidikan Journal of Data Mining and Information Systems Kohesi: Jurnal Sains dan Teknologi Indonesian Journal on Data Science
Rizkiyah, Selly
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Religion Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Energy Engineering Social Sciences Other

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IMPLIKASI PENGGUNAAN PLATFORM MEDIA SOSIAL DALAM PENDIDIKAN AGAMA Rizkiyah, Selly; Rizqin, Indira Zein; Putri, Milla Akbarany Baktiar; Elmaliyasari, Shifa; Rusdiyanto, Nur Rahmat; Kusumastuti, Erwin
Jurnal Kependidikan Vol. 9 No. 1 (2024): Jurnal Kependidikan
Publisher : FKIP Universitas Samawa

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

Abstract

Saat ini zaman semakin berkembang dan terjadi perkembangan tidak hanya dari segi sosial ekonomi saja tetapi juga dalam bidang pendidikan, pendidikan Islam juga berkembang pesat. Pemanfaatan teknologi sebagai media pembelajaran pendidikan agama Islam dapat menjadikan pembelajaran lebih menarik bagi Gen Z di era yang semakin digital dan menjadikan perolehan ilmu pengetahuan tidak monoton. Penelitian ini memanfaatkan media sosial sebagai media edukasi di era digital. Penelitian ini menggunakan metode penelitian kualitatif dan kuantitatif. Media sosial adalah tema utama dan dampak penggunaan platform media sosial terhadap pendidikan agama dibahas.Informasi ini dikumpulkan dengan menggunakan metode kualitatif dan kuantitatif. Studi menyatakan bahwa penggunaan media sosial dengan beragam kemampuannya dapat berfungsi sebagai alat pendidikan di era digital. Namun penggunaan media sosial tidak hanya memberikan dampak positif tetapi juga dampak negatif. Oleh karena itu, generasi Z diharapkan dapat mengikuti pelatihan yang diberikan agar dapat berjalan secara efektif.
Implikasi Penggunaan Platform Media Sosial dalam Pendidikan Agama Rizkiyah, Selly; Rizqin, Indira Zein; Baktiar Putri, Milla Akbarany
Ta'dib: Jurnal Pendidikan Islam dan Isu-Isu Sosial Vol. 22 No. 1 (2024): Pendidikan Islam dan Isu-isu Sosial
Publisher : Prodi Pendidikan Agama Islam (PAI) Fakultas Tarbiyah IAI Hamzanwadi NW Pancor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37216/tadib.v22i1.1563

Abstract

Abstract Nowadays, the era is growing and there is development not only in terms of socio-economics but also in the field of education, Islamic education is also growing rapidly. the utilization of technology as a learning medium for Islamic religious education can make learning more interesting for Gen Z in a increasingly digital era and make the acquisition of knowledge not monotonous. This research utilizes social media as an educational medium in the digital era. this research uses qualitative and quantitative research methods. Social media is main theme and the impact of using social media platforms on religious education is discussed. The information is collected using qualitative and quantitative methods. The study states that the use of social media with its diverse capabilities can serve as an educational tool in the digital era. However, the use of social media does not only provide positive impact but also negative impacts. Therefore, generation Z is expected to follow the training provided so that it can run effectively
ANALISIS FAKTOR KEPUASAN PELANGGAN TERHADAP PREDIKSI FREKUENSI KUNJUNGAN KEMBALI (Studi Kasus Mie Gacoan Surabaya) Baktiar Putri, Milla Akbarany; Rizkiyah, Selly; Trimono
Kohesi: Jurnal Sains dan Teknologi Vol. 6 No. 2 (2024): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v6i2.8855

Abstract

Penelitian ini dilatarbelakangi oleh berbagai opini dari pelanggan Mie Gacoan mengenai kelayakan, kepuasan, dan rating terkait label restoran yang memiliki harga murah dan viral. Oleh karena itu, penelitian ini bertujuan untuk mengetahui kelayakan restoran terhadap kunjungan kembali pelanggan serta memberikan insight kepada pihak restoran mengenai prediksi frekuensi kunjungan tersebut. Data penelitian diperoleh dari 65 responden melalui opini konsumen yang dikumpulkan menggunakan kuesioner, kemudian dianalisis menggunakan metode Regresi Dummy. Proses analisis regresi dummy ini yang menggunakan OLS ini menunjukkan bahwa kepuasan rasa, kualitas layanan staf, keterjangkauan harga dengan kualitas makanan, dan durasi antrian memiliki pengaruh signifikan terhadap frekuensi kunjungan kembali pelanggan di restoran Mie Gacoan.
Segmentasi Faktor Perceraian berdasarkan Provinsi di Indonesia Tahun 2024 dengan K-Means dan DBSCAN Rizkiyah, Selly; Indira; Putri, Milla Akbarany Bakhtiar; Wara, Shindi Shella May; Saputra, Wahyu Syaifullah Jauharis
INDONESIAN JOURNAL ON DATA SCIENCE Vol. 3 No. 2 (2025): Indonesian Journal On Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v3i2.1654

Abstract

Divorce is a complex social phenomenon that continues to increase in Indonesia. Based on data from 34 provinces, divorce is influenced by various factors, both internal and external to the household. This research aims to describe the main factors causing divorce based on national data and review relevant literature using machine learning methods, especially unsupervised learning techniques in the form of clustering. The dominant factors found include constant disputes and arguments, economic problems, domestic violence, abandonment of one of the parties, and infidelity. This research uses K-Means and DBSCAN algorithms to compare the results. It is known that the best modeling with Silhoutte Score comparison is DBSCAN of 0.331. DBSCAN with optimal clusters was obtained from a combination of epsilon parameter 2.9 and minimum sample 2. The clustering results were then further analyzed to evaluate the data distribution and identify the dominant characteristics in each cluster. These findings indicate the need for a multidisciplinary approach in understanding and addressing divorce issues in Indonesia in order to reduce the divorce rate and improve the quality of family life.
Analisis Sentimen Ulasan Aplikasi Maxim Merchant dengan Support Vector Machine (SVM) dan Random Forest Rizkiyah, Selly; Rizqin, Indira Zein; Putri, Milla Akbarany Baktiar; Wara, Shindi Shella May; Hindrayani, Kartika Maulida
JDMIS: Journal of Data Mining and Information Systems Vol. 4 No. 1 (2026): February 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v4i1.4765

Abstract

The development of digital technology, especially mobile devices, has led to an increase in application-based services. One important aspect in app development is to deeply understand user perception and satisfaction. This study aims to analyze user sentiment towards the Maxim Merchant application based on reviews obtained from the Google Play Store platform. A total of more than 2800 Indonesian-language reviews were collected using web scraping techniques. The review data was processed through pre-processing stages such as text cleaning, normalization, tokenization, removal of unimportant words, and stemming. Sentiments are categorized into positive and negative based on the review score, where scores of 1 to 3 are considered negative, and scores of 4 and 5 are considered positive. Word cloud visualization is used to show the dominant words of each sentiment category. The data is then converted into numerical form using TF-IDF and selected using the Chi-Square method. Classification was performed using Support Vector Machine and Random Forest algorithms. The evaluation results show that the Support Vector Machine algorithm performs better in classifying sentiment, especially in handling high-dimensional text data.
Co-Authors Baktiar Putri, Milla Akbarany Elmaliyasari, Shifa Indira Kartika Maulida Hindrayani Kusumastuti, Erwin Putri, Milla Akbarany Bakhtiar Putri, Milla Akbarany Baktiar Rizqin, Indira Zein Rusdiyanto, Nur Rahmat Saputra, Wahyu Syaifullah Jauharis Shindi Shella May Wara Trimono