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All Journal Pendidikan Bahasa dan Sastra Indonesia Chemica: Jurnal Ilmiah Kimia dan Pendidikan Kimia Indonesian Journal of Biotechnology INTEKNA Jurnal Zarah IJISTECH (International Journal Of Information System & Technology) JURNAL MUTIARA MANAJEMEN Majalah Ilmiah Warta Dharmawangsa Jurnal Komposit : Jurnal Ilmu-Ilmu Teknik Sipil Journal of Economics and Business UBS IJISTECH Jurnal Kesehatan STIKes IMC Bintaro Jurnal Media Informatika AbdiTechno (Jurnal Pengabdian Masyarakat) Journal of Research in Instructional SEMESTA: Journal of Science Education and Teaching Husnayain Business Review Dinamika Kesehatan: Jurnal Kebidanan dan Keperawatan Jurnal Ilmiah Pendidikan Dasar (JIPDAS) International Journal of Public Health Excellence (IJPHE) Publikasi Riset Mahasiswa Akuntansi QISTINA: Jurnal Multidisiplin Indonesia Journal of Education Technology Information Social Sciences and Health International Journal of Community Service (IJCS) Jurnal Manajemen Informatika dan Bisnis Digital Journal of Artificial Intelligence and Digital Business Indonesian Research Journal on Education Jurnal AL-Muta`aliyah : Jurnal Pendidikan Guru Madrasah Ibtidaiyah Nanggroe: Journal Of Scholarly Service Nanggroe: Journal of Scholarly Service Socius: Social Sciences Research Journal Journal of Health Science and Medical Therapy Jurnal Tonggak Pendidikan Dasar : Jurnal Kajian Teori dan Hasil Pendidikan Dasar Majapahit Journal of Islamic Finance dan Management Majapahit Journal of Islamic Finance dan Management International Journal of Indonesian Business Review Sociality: Journal of Public Health Service Journal of Authentic Research Jurnal Intervensi Sosial Jurnal Ekonomi dan Bisnis Jurnal Pembina
Ramadani, Putri
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Expert System for Detecting Diseases in Cattle Using Backward Chaining Method Ramadani, Putri; Wahyuni, Alvi Dwi; Putra, Eka Ramadhani
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.383

Abstract

Cow is one of the livestock animals with commercial or economic value due to the sale of beef and bull semen. Livestock diseases can reduce the quality of livestock and cause a decline in sales. This research aims to help farmers recognize or identify types of diseases in cows based on visible symptoms or to prevent the risk of disease to avoid outbreaks. All data used comes from experts and a collection of documents from magazines and books related to livestock diseases. This analysis applies backward chaining in expert systems, particularly systems that process existing facts to reach conclusions. Facts are derived from physical conditions, also called symptoms. Backward chaining is a goal-based analysis that starts with an assumption of what might happen, then searches for facts (evidence) or symptoms that support (or refute) the hypothesis. The development of a web-based expert system makes it easier for farmers to access the system online. The accuracy of the expert system has been tested by stakeholders or experts, resulting in fast, accurate, and effective information. This research can assist farmers in diagnosing symptoms in livestock, and the test results can accurately detect the type of disease in livestock so that treatment can be carried out quickly.
Pengaruh Media Chempuzzle pada Model Discovery Learning terhadap Hasil Belajar Peserta Didik Kelas XI SMA Negeri 4 Maros (Studi pada Materi Pokok Senyawa Hidrokarbon) Sudding, Sudding; Sulastry, Taty; Ramadani, Putri
Chemica: Jurnal Ilmiah Kimia dan Pendidikan Kimia Vol 26, No 1 (2025): CHEMICA
Publisher : Jurusan Kimia FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/chemica.v26i1.73829

Abstract

ABSTRAKPenelitian ini merupakan penelitian eksperimen semu yang bertujuan untuk mengetahui pengaruh media chempuzzle pada model discovery learning terhadap hasil belajar peserta didik Kelas XI MIPA SMA Negeri 4 Maros studi pada materi pokok senyawa hidrokarbon. Desain penelitian yang digunakan adalah posttest only control group design. Populasi dalam penelitian ini adalah peserta didik kelas XI MIPA SMA Negeri 4 Maros yang terdiri dari tujuh kelas. Pengambilan sampel dilakukan secara random sampling, sehingga terpilih kelas XI MIPA 5 sebagai kelompok eksperimen dan XI MIPA 6 sebagai kelompok kontrol. Hasil analisis deskriptif diperoleh rata-rata hasil belajar kelompok eksperimen lebih tinggi dari kelompok kontrol. Hasil analisis statistik inferensial menunjukkan bahwa data kelompok eksperimen dan kelompok kontrol berasal dari populasi yang homogen tetapi tidak terdistribusi normal, sehingga uji hipotesis menggunakan uji statistik non-parametrik, Mann-Whitney hasilnya pada ∝ = 0,05 diperoleh Zhitung>Ztabel (12,9 >1,64), berarti ada pengaruh media chempuzzle pada model discovery learning terhadap hasil belajar peserta didik Kelas XI MIPA SMA Negeri 4 Maros studi pada materi pokok senyawa hidrokarbon.Kata kunci: chempuzzle, discovery learning, hasil belajar ABSTRACTThis is quasi experiment research that aimed to know the effect of chempuzzle media in discovery learning model toward students' learning outcomes class XI MIPA SMA Negeri 4 Maros study on the subject matter of hydrocarbon compounds. The research design was posttest only control group design. The population of this research was students in class XI MIPA SMA Negeri 4 Maros that consist of seven classes. Sampling was carried by random sampling, so class XI MIPA 5 was selected as the experimental group and XI MIPA 6 as the control group. The results of descriptive analysis showed the average of learning outcomes of experimental group higher than the control group. The results of inferential statistical analysis toward students learning outcomes showed that data on the experimental group and the control group were homogeneous but not normally distributed so hypothesis testing using nonparametric test by Mann-Whitney, the result at ∝ = 0.05 obtained Zcount>Ztable (12.9>1.64), meaning that there is an influence of chempuzzle media in discovery learning model towards students’ learning outcomes class XI MIPA SMA Negeri 4 Maros study on the subject matter of hydrocarbon compounds.Keywords: chempuzzle, discovery learning, learning outcomes
Penerapan Metode Pekerja Sosial Case Work dalam Peningkatan Kemampuan Bahasa Inggris Anak di Panti Asuhan Ora Et Labora Nusantara Medan Ramadani, Putri; Pirandy, Gusti
Nanggroe: Jurnal Pengabdian Cendikia Vol 4, No 3 (2025): Volume 4, Issue 3 2025
Publisher : Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15654356

Abstract

In today's era of globalization, English is one of the most important things to learn. English serves as the key to accessing wider educational and career opportunities, as well as a tool for international communication, information, science and technology. English language skills are essential for all members of society. This is also felt by young people who are learning. The constraints on English language learning can be more significant for children of Social Welfare Service Recipients (PPKS), especially for those living in orphanages. the purpose of this study is the application of the case work method in an effort to improve children's English language skills at the Ora et Labora Nusantara Medan Orphanage. This research is expected to provide an overview of how effective the case work approach is and offer practical suggestions for orphanages and education and social work practitioners in dealing with similar cases.
Penerapan Metode Pekerja Sosial Case Work dalam Peningkatan Kemampuan Bahasa Inggris Anak di Panti Asuhan Ora Et Labora Nusantara Medan Ramadani, Putri; Pirandy, Gusti
Nanggroe: Jurnal Pengabdian Cendikia Vol 4, No 3 (2025): Volume 4, Issue 3 2025
Publisher : Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15654356

Abstract

In today's era of globalization, English is one of the most important things to learn. English serves as the key to accessing wider educational and career opportunities, as well as a tool for international communication, information, science and technology. English language skills are essential for all members of society. This is also felt by young people who are learning. The constraints on English language learning can be more significant for children of Social Welfare Service Recipients (PPKS), especially for those living in orphanages. the purpose of this study is the application of the case work method in an effort to improve children's English language skills at the Ora et Labora Nusantara Medan Orphanage. This research is expected to provide an overview of how effective the case work approach is and offer practical suggestions for orphanages and education and social work practitioners in dealing with similar cases.
Perbandingan Algoritma Naïve Bayes, C4.5, dan K-Nearest Neighbor untuk Klasifikasi Kelayakan Program Keluarga Harapan Ramadani, Putri; Fadillah, Riszki; Adawiyah, Quratih; Suerni, Suerni; Al Ghazali, Baginda Restu
Jurnal Media Informatika Vol. 6 No. 1 (2024): Jurnal Media Informatika Edisi September - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i1.6083

Abstract

Penelitian ini bertujuan membandingkan kinerja tiga algoritma klasifikasi—Naïve Bayes, C4.5, dan K-Nearest Neighbor (K-NN)—dalam menentukan kelayakan penerima Program Keluarga Harapan (PKH) di Rantau Prapat. Dataset terdiri dari 109 data keluarga dengan variabel seperti pendapatan, jumlah tanggungan, status pekerjaan, dan kepemilikan aset. Pengolahan dan analisis data dilakukan menggunakan RapidMiner Studio, dengan evaluasi kinerja berdasarkan akurasi, presisi, recall, dan Area Under Curve (AUC). Hasil penelitian menunjukkan bahwa algoritma C4.5 memberikan kinerja terbaik dengan akurasi 91,8%, presisi 90,7%, recall 92,3%, dan AUC 0,944. Naïve Bayes mencatat akurasi 87,2% dan recall 88,9%, sedangkan K-NN menghasilkan akurasi 89,9% dan recall 91,1%, namun memerlukan komputasi lebih tinggi. Temuan ini menunjukkan bahwa C4.5 lebih efektif dalam mengklasifikasikan kelayakan penerima PKH secara akurat dan efisien. Penelitian ini menegaskan potensi algoritma machine learning dalam mendukung pengambilan keputusan pada program bantuan sosial. Studi lanjutan disarankan untuk memperluas cakupan data dan mengeksplorasi metode klasifikasi lainnya guna optimalisasi distribusi bantuan.
Prediksi hasil belajar mahasiswa pada PBL menggunakan algoritma Decision Tree untuk evaluasi pembelajaran Irfan, Desi; Ramadani, Putri; Nasution, Atika Sdaariah; Irwansyah, Irwansyah; Ramadan, Joeanda Bagus
Jurnal Media Informatika Vol. 6 No. 1 (2024): Jurnal Media Informatika Edisi September - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i1.6085

Abstract

Penelitian ini bertujuan untuk mengembangkan model prediksi hasil belajar mahasiswa yang mengikuti pembelajaran berbasis masalah (Problem-Based Learning/PBL) menggunakan algoritma Decision Tree. Model ini dikembangkan dengan memanfaatkan data yang mencakup variabel-variabel seperti Nilai Tugas, Nilai Ujian, Tingkat Partisipasi, dan Waktu Belajar. Data yang digunakan dalam penelitian ini terdiri dari 150 data mahasiswa yang dibagi menjadi 80% untuk data pelatihan dan 20% untuk data uji. Hasil pelatihan model menunjukkan akurasi pelatihan rata-rata sebesar 91%, yang mengindikasikan kemampuan model dalam mempelajari pola-pola dalam data dengan sangat baik. Sementara itu, akurasi pengujian rata-rata sebesar 85.1% menunjukkan bahwa model dapat memprediksi hasil belajar mahasiswa pada data yang belum terlihat sebelumnya dengan ketepatan yang memadai. Meskipun terdapat sedikit perbedaan antara akurasi pelatihan dan pengujian yang mengindikasikan adanya overfitting, model ini tetap efektif dalam mengklasifikasikan hasil belajar mahasiswa. Penelitian ini juga menyarankan penggunaan teknik hyperparameter tuning dan regularisasi untuk meningkatkan performa model, khususnya dalam mengurangi overfitting dan meningkatkan akurasi pada data uji. Secara keseluruhan, hasil penelitian ini menunjukkan bahwa model Decision Tree dapat menjadi alat yang efektif dalam memprediksi hasil belajar mahasiswa dan dapat digunakan untuk memperbaiki strategi pembelajaran berbasis PBL di masa depan.
Socialization and Implementation of a Midwifery Education Chatbot at the Rantauprapat City Community Health Center Fadillah, Riszki; Ramadani, Putri; Adawiyah, Quratih; Fitriyani, Intan Nur
International Journal of Community Service (IJCS) Vol. 4 No. 1 (2025): January-June
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijcs.v4i1.1080

Abstract

Improving the quality of maternal healthcare requires an innovative, technology-based approach, particularly in providing midwifery education. This community service project aimed to introduce and train pregnant women at the Rantauprapat City Community Health Center (Puskesmas) in the use of an educational chatbot based on the Recurrent Neural Network (RNN) algorithm. This chatbot was designed to provide fast, relevant, and accessible pregnancy health information. The activity involved coordination with partner health centers, outreach, hands-on training on the use of the chatbot, and evaluation of its effectiveness. The evaluation results showed that more than 90% of participants felt the chatbot helped them understand their pregnancy status, with the majority of questions related to early symptoms, diet, and safe activities during pregnancy. Furthermore, health workers stated that the chatbot could ease the burden of answering repetitive questions from patients. The implementation of this technology has significantly contributed to improving digital-based midwifery literacy and strengthening the role of community health centers as primary health care centers that are adaptive to technological developments. Going forward, the development of additional features and the expansion of local content are expected to strengthen the use of the chatbot on a broader scale.
Analisis Faktor yang Menyebabkan Rendahnya Kedisiplinan Anak di Sekolah Dasar Negeri 015/IX Kebon IX Yulia Evania, Deara; Ramadani, Putri
Jurnal Tonggak Pendidikan Dasar : Jurnal Kajian Teori dan Hasil Pendidikan Dasar Vol. 3 No. 2 (2024): JTPD
Publisher : Universitas Jambi

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

Abstract

Di tingkat sekolah dasar, kedisiplinan menjadi fondasi awal bagianak-anak dalam membentuk sikap dan perilaku yang baik. Namun,fenomena rendahnya kedisiplinan di kalangan siswa sekolah dasarmenjadi perhatian serius bagi para pendidik, orang tua, dan masyarakat.Rendahnya kedisiplinan siswa dapat dilihat dari berbagai aspek, sepertiketepatan waktu dalam mengikuti pelajaran, kepatuhan terhadap aturansekolah, serta tanggung jawab dalam menyelesaikan tugas.Penelitian pada siswa kelas VA SD Negeri 015/IX Kebon IX inibertujuan untuk mengetahui faktor yang menyebabkan rendahnyakedisiplinan siswa di SD Negeri 015/IX Kebon IX. Penelitian inimenggunakan pendekatan kualitatif dengan memaparkan data hasilpenelitian yang diperoleh melalui wawancara dan pengamatan denganinformasi yaitu guru kelas VA. Hasil penelitian dapat disimpulkan bahwakedisiplinan siswa kelas VA di SD Negeri 015/IX Kebon IX disebabkanoleh faktor internal dan faktor eksternal. Faktor internal dari dalam dirisiswa, dimana siswa yang tidak memiliki minat belajar. Dan faktoreksternal dari pola asuh orang tua yang tidak memperhatikan maupunmenasehati anak.
Predicting the Risk of Premature Birth Using Naive Bayes Based on Maternal Health Data at Rantauprapat Regional Hospital Adawiyah, Quratih; Handayani, Rika; Nadrah, Nailatun; Nasution, Fitriyani; Ramadani, Putri
International Journal of Public Health Excellence (IJPHE) Vol. 4 No. 2 (2025): January-May
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v4i2.1112

Abstract

Premature birth is one of the leading causes of infant mortality and complications. Early identification of pregnant women at risk of premature delivery is crucial for appropriate management. This study aims to develop a predictive model for premature birth risk using the Naïve Bayes method based on maternal health data from RSUD Rantauprapat. The data used includes variables such as mother's age, nutritional status, blood pressure, and history of premature birth. The study applies Naïve Bayes to predict the classes of premature birth risk, namely "Premature" and "Not Premature", with data divided into 70% for training and 30% for testing. The results show that the Naïve Bayes model achieved an accuracy of 78.33% in predicting premature birth risk. Additionally, the model shows precision of 89.29%, recall of 83.33%, and F1-score of 86.1%, indicating good performance in detecting pregnant women at risk of premature birth. Comparison with other models, such as Logistic Regression and Decision Tree, demonstrates that Naïve Bayes provides the best results in terms of accuracy and balance between precision and recall. This study shows that Naïve Bayes can be an effective tool for early detection of premature birth and can be implemented in medical decision-making systems at hospitals to improve the management of high-risk pregnant women. The results of this study can serve as a foundation for further research that develops predictive models by adding features or other algorithms.
The Role of Purchase Satisfaction in Mediating the Effect of Marketing Communication and Product Display on Repeat Purchases in the TikTok Shop Application Ramadani, Putri; Permana, Dudi
International Journal of Indonesian Business Review Vol. 5 No. 1 (2026)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibr.v5i1.1524

Abstract

Tujuan – Makalah ini bertujuan untuk menganalisis pengaruh komunikasi pemasaran dan tampilan produk terhadap pembelian berulang, baik secara langsung maupun melalui kepuasan pembelian sebagai variabel mediasi, pada platform e-commerce TikTok. Metodologi/pendekatan – Pendekatan kuantitatif diterapkan, mengumpulkan data dari 200 pelanggan TikTok Shop menggunakan kuesioner terstruktur. Teknik pengambilan sampel menggunakan G-Power, dan data dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) melalui SmartPLS 4.0. Temuan – Temuan menunjukkan bahwa komunikasi pemasaran dan tampilan produk memiliki pengaruh yang signifikan dan positif terhadap pembelian berulang, baik secara langsung maupun tidak langsung melalui kepuasan pembelian sebagai variabel mediasi. Hasil ini mendukung Model Diskonfirmasi Harapan, yang memperkuat pentingnya persepsi visual, komunikasi yang efektif, dan kepuasan pelanggan dalam membentuk loyalitas konsumen dalam lingkungan perdagangan sosial. Kebaruan/nilai – Penelitian ini berkontribusi pada pengayaan literatur tentang strategi pemasaran digital dan menawarkan implikasi praktis bagi praktisi perdagangan sosial untuk mengoptimalkan pengalaman pengguna, konsistensi komunikasi, dan konten visual dalam meningkatkan pembelian berulang.
Co-Authors Abdi Abdul Azis Abdurahman, Eka Prahadian Adawiyah, Quratih Ahadits, Mukhtarul Al Ghazali, Baginda Restu Amaliah, Nazla Ananda, Santi Kurnia Arief Muttaqiin ASRIL ASRIL Bella , Meicyntia Br Ginting, Devi Eriliani Brahmana, Selvina Tawanta Citra Rosalyn Anwar Dudi Permana Ellya Ratna Ernawilis Evita Putri, Rahmah Fadilah, Nur Zatil Fahrur Rozi Fajri, Haikal Fiddin, Fachroh Gusti Pirandy Hafrison, Mohammad Hajra, Andi Handayani, Rika Hilfi Pardi Indrayani, Iin INTAN NUR FITRIYANI Irfan, Desi Irwansyah Irwansyah Isjoni Isjoni Julianto, Cecep Dudung juwita, lisavina Latipah, Salwa Lesmana, Reinaldi lubis, kartika sari Lusiana Lusiana Lutfi, Ridwan Luthfiya, Siti Nathasya Mahbub, Zaki Maknun, Lu’luil Manurung, Imelda Free Unita Mardivta, Hafizhah Muhammad Rahmat Muhammad Rusmin, Muhammad Nailatun Nadrah Najifah, Shakila Nasution, Atika Sdaariah Nasution, Fitriyani Nasution, Khoirul Bariyah Nasution, Syairah Nur B, Annisa Nurlina, Dedek Pandia, Nur Aisyah Purwandito, Meilandy Putra, Eka Ramadhani Putri Sari Dewi, Putri Sari Putri, Leoni Amanda Rahmiwati Rahmiwati, Rahmiwati Raja, M. R. Buana Ramadan, Joeanda Bagus Ramadhani, Muhammad Rizki Ramdani Bayu Putra Ratna Dewi Ratna Stia Dewi Riszki Fadillah Rita Kurnia Ritonga, Fajar Utama Rukmini Rusdiansyah Rusdiansyah Sadarang, Rimawati Aulia Insani Saefuddin Aziz Safina, Wan Dian Selvia S, Indri Siara, Sabina Simanihuruk, Lidia Siregar, Salsabila Putri Hati Skunda Diliarosta Sudding, Sudding Suerni, Suerni Suhendar, Andri Suminar, Mira Surbakti, Maria Magdalena Tamba, Robenharta Tambunan , Novidawati Tampubolon, Sonang Martua Taty Sulastry Vientiany, Dini Wahyuni, Alvi Dwi Wati, Putri Kurni Wijaya, Ronni Andri Yulia Evania, Deara Zainarti Zainarti