Article Per Year (5 Year)
p-Index From 2021 - 2026
2.663
P-Index
This Author published in this journals
All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Sains Matematika dan Statistika Zeta - Math Journal Journal of Electrical Engineering and Computer (JEECOM) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Pengabdian Masyarakat Al-Fatimah Bajhrah : Jurnal Pengabdian Kepada Masyarakat Alpha Epsilon Journal of Mathematics
Luluk Sarifah
Univeritas Annuqayah
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 17 Documents
Search

 1   2 
Pelatihan Penggunaan Software Mendeley Pada Mahasiswi Program Studi Matematika Universitas Annuqayah dalam Menyusun Karya Ilmiah Sarifah, Luluk; Khotijah, Siti; Purnama, Prasanti Mia
BAJHRAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 2 No 2 (2025): BAJHRAH: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/bajhrah.v2i2.3537

Abstract

Mendeley is a software that can be used to simplify writing citations and creating bibliographies automatically. The purpose of this community service activity is to improve the insight, writing skills and quality of students' scientific work. This community service consists of three stages, namely preparation, implementation and evaluation, where the implementation stage is divided into 2 sessions, namely the material delivery session through the lecture method, then the training/practice and mentoring session. The results of the activity indicate an increase in students' understanding and skills in using Mendeley. Prior to the training, approximately 90% of the Mathematics students who attended the training did not know or understand how to enter references and citations using mendeley, as most were still using manual methods. However, after attending the training and going through the evaluation phase, 100% of participants were able to successfully implement the material independently
K-Means Clustering dengan Optimasi Algoritma Genetika untuk mengelompokkan daerah budidaya Cabai Jawa Wahyudi, Imam; Sarifah, Luluk; Sukron, Moh
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 2 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i2.9603

Abstract

Ada beberapa tanaman obat yang popular, salah satunya yaitu Cabai Jawa yang juga merupakan salah satu komuditas ekspor yang cukup tinggi dengan nilai jual yang fantastis, namun di Indonesia terutama di wilayah Madura pengetahuan masyarakat tentang hal tersebut masih minim karena memang tidak adanya pembudidayaan dari pemerintah sekitar. Oleh karena itu penelitian bertujuan untuk melakukan Clustering daerah yang membudidayakan tanaman ini sehingga ditemukan daerah yang masuk kategori rendah, sedang dan tinggi dipamekasan. Metode K-Means Clustering adalah metode yang cocok untuk penelitian ini dan alur kerjanya ialah mengelompokkan data n ke dalam cluster yang serupa dan berbeda dengan data cluster yang lainnya. Metode ini dikombinasikan dengan metode Algoritma Genetika sebagai optimasi pada centroid awal sehingga hasil dari clustering ini bisa optimal. Berdasarkan hasil evaluasi menggunakan Silhouette Coefficience didapatkan nilai sebesar 0. 52156 menggunakan GA dan K-Means 
Prediksi Harga Emas Menggunakan Metode Radial Basis Function Neural Network (RBFNN) Khotijah, Siti; Sarifah, Luluk; Fuaddiyah, Alifatul
Jurnal Sains Matematika dan Statistika Vol 10, No 1 (2024): JSMS Januari 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v10i1.20890

Abstract

Berinvestasi merupakan kegiatan di mana dana diinvestasikan dalam satu atau lebih kelas aset selama periode waktu tertentu dengan harapan menghasilkan pendapatan dan/atau meningkatkan nilai investasi di masa depan Salah satu investasi yang berkembang saat ini adalah investasi emas. Emas merupakan logam mulia yang memiliki ketahanan yang tinggi untuk disimpan dalam jangka waktu yang lama. Akan tetapi terdapat resiko dalam berinvestasi emas, resiko umum saat berinvestasi emas adalah harganya berfluktuasi setiap hari. Teknik prediksi yang akurat diperlukan untuk menghindari risiko. Dalam penelitian ini, metode yang digunakan untuk melakukan prediksi adalah Radial Basis Function Neural Network  (RBFNN). Hasil prediksi harga emas pada tahun 2022 dengan menggunakan metode Radial Basis Function Neural Network (RBFNN) mengalami kenaikan disetiap bulannya dengan nilai MSE sebesar 0.54134. Hal ini menunjukkan bahwa akan terjadi kenaikan harga harga emas pada tahun 2022 disetiap bulannya.
Penerapan Algoritma Welch Powell Untuk Menyusun Jadwal Mata Kuliah Di IST Annuqayah Inda Arundani; Luluk Sarifah; Fiqih Rahman Hartiansyah
Alpha-Epsilon: Journal of Mathematics Vol 1 No 1 (2025): January
Publisher : Department of Mathematics, Faculty of Mathematics and Scince, Universitas Annuqayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59005/aejm.v1i1.518

Abstract

Graph coloring is the giving of color to certain objects in the graph. These objects can be nodes, edges, and regions. This study aims to look at the process and results of graph coloring using the Welch Powell Algorithm in the preparation of class schedules for the Mathematics and Biology Study Program, Faculty of Mathematics and Natural Sciences, Annuqayah Institute of Science and Technology. The type of research used is descriptive qualitative research. The object of research in this study is the list of lecturers, list of courses, lecture active hours, and the number of rooms used. Data analysis was carried out by modeling a list of lecturers with a list of courses into a graph and determining the minimum color in the coloring process using Welch Powell's algorithm. In this research, we know the performance of the Welch Powell algorithm in compiling schedules for each study program and combined scheduling. Based on the scheduling results, it can be concluded that the application of Welch Powell's algorithm for combined scheduling is more effective and more efficient to use than scheduling for each study program. In addition to not overlapping between courses, it can also save space.
Solusi Numerik Model Matematika Pada Kasus Kecanduan Media Sosial Tiktok Di Pondok Pesantren Annuqayah Latee II Menggunakan Metode Runge Kutta Siti Romlah; Muhammad Thahiruddin; Luluk Sarifah
Alpha-Epsilon: Journal of Mathematics Vol 1 No 1 (2025): January
Publisher : Department of Mathematics, Faculty of Mathematics and Scince, Universitas Annuqayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59005/aejm.v1i1.520

Abstract

TikTok social media is a medium that can develop users' creativity, but most users compete to express themselves due to frequently viewing content so that they are obsessed with creating content and continuously trying various content movements. This can result in an addiction to viewing or addiction to TikTok content movements. Modifying the TikTok social media addiction model is one of the objectives of this research, starting by distributing a questionnaire to 100 respondents. Next, a programming simulation was carried out using the Runge Kutta Butcher method with Python tools. With the results, the Runge Kutta Butcher method can provide high accuracy and is effective in solving the SEIIRS model. The population increased with an increase of 18 individuals exposed, indicating the possibility of movement of susceptible individuals. The decline in infected populations 1 and 2 shows that individuals in these populations are slowly becoming recovered individuals. Based on the findings of this research, it can be concluded that Santri PP Annuqayah Latee II had previously experienced TikTok addiction and would return to normal status (cured but vulnerable) on Day 200.
Peramalan Perbandingan Metode Exponential Moving Average dan Weighted Moving Average Dalam Peramalan Angka Kemiskinan Di Kabupaten Pamekasan: Perbandingan Metode Exponential Moving Average dan Weighted Moving Average Dalam Peramalan Angka Kemiskinan Di Kabupaten Pamekasan Eka Yanti; Luluk Sarifah
Alpha-Epsilon: Journal of Mathematics Vol 1 No 2 (2025): July
Publisher : Department of Mathematics, Faculty of Mathematics and Scince, Universitas Annuqayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59005/aejm.v1i2.803

Abstract

This study aims to predict the best method in a forecasting system using the Exponential Moving Average (EMA) and Weighted Moving Average (WMA) methods. In the simulation stage, the data used is the poverty rate data in Pamekasan Regency from 2015 to 2024 as actual data to predict the 2025 data. Meanwhile, the comparison process is carried out by looking at the accuracy level of each method based on the MSE and MAPE values. Based on the results of data simulations from the two methods tested, it is known that the Exponential Moving Average (EMA) and Weighted Moving Average (WMA) are suitable for predicting poverty rates in Pamekasan Regency, because the resulting MAPE value is between 20% -50%.
Prediksi Jumlah Stunting Kabupaten Pamekasan Menggunakan Metode Statistical Parabolic Iis Setiana; Luluk Sarifah
Alpha-Epsilon: Journal of Mathematics Vol 2 No 1 (2026): January
Publisher : Department of Mathematics, Faculty of Mathematics and Scince, Universitas Annuqayah

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

Abstract

Indonesia is a country that is included in the target of high stunting management in the world, so stunting remains a problem that needs to be addressed. For example, the number of stunting in Pamekasan Regency. Currently, Pamekasan Regency is included in the target of stunting management with a stunting prevalence of 25.1% covering 21 health centers from 13 sub-districts. The purpose of this study is to predict the number of stunting in Pamekasan Regency in 2018-2024 using the statistical parabolic method. Statistical parabolic is one method that is able to make predictions based on past data, then in this study used data on the number of stunting in 2018-2024 obtained from the Pamekasan Regency Health Office. After calculating the predicted number of stunting in 2018-2024 based on the MAPE value obtained the result of 5.45%. Therefore, it can be concluded that the statistical parabolic method is good to be used to predict the number of stunting in 2025-2026.
Co-Authors Dina Raudhatul Jannah Dina Raudlatul Jannah Eka Yanti Fadil Mas’ud Fiqih Rahman Hartiansyah Fuaddiyah, Alifatul Iis Setiana Imam Wahyudi Inda Arundani Johannes P Kumagaya Khaliqah, Marinatul Lailiyatus Sa’adah Made Susilawati Marinatul Khaliqah Khaliqah Moh. Sukron Muhammad Luthfi Muhammad Thahiruddin Munawwarah, Siti Prasanti Mia Purnama Purnama, Prasanti Mia Rinovian Rais Samaniyah, Samaniyah Siti Kamilah, Siti Siti Khotijah Siti Romlah Ulfatul Husna Ulfatul Husna Wildayatus Shofiyah