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All Journal Media Statistika M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Vocatech : Vocational Education and Technology Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Abdi Masya International Journal Software Engineering and Computer Science (IJSECS)
Marwah Masruroh, Marwah
Institut Teknologi Dan Bisnis Muhammadiyah Purbalingga
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Mathematics Mechanical Engineering Public Health Other

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APLIKASI REGRESI PARTIAL LEAST SQUARE UNTUK ANALISIS HUBUNGAN FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA DI KOTA YOGYAKARTA Masruroh, Marwah; Subekti, Retno
MEDIA STATISTIKA Vol 9, No 2 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (169.248 KB) | DOI: 10.14710/medstat.9.2.75-84

Abstract

Human Development Index is one of the indicators to measure the success of a region in the field of human development sector. There are several factors that affect Human Development Index, such as life expentancy, the literacy rate, the average length of the school, and the index of purchasing power. The aim in this paper is to analyze the relationship between factors that affect Human Development Index in Yogyakarta using regression analysis. One of the assumptions of classical regression is not going multicollinierity. Multicollinierity cause misinterpretation of regression coefficients with Ordinary Least Square (OLS) method. One method used to overcome multicollinierity is Partial Least Square (PLS). The result of Human Development Index data analysis showed there was a high correlation between the predictor variables or in other words going multicollinierity, so using PLS method, we obtained adjusted R2 of 99.3% Human Development Index variables can be explained by the four predictor variables. By using PLS method, multicollinierity resolved in the problem of violation in the linear regression assumption. Keywords: IPM, OLS, regression, PLS.
Product Demand Forecast Analysis Using Predictive Models and Time Series Forecasting Algorithms on the Temu Marketplace Platform Trisolvena, Muhammad Nana; Masruroh, Marwah; Ginting, Yanti Mayasari
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2774

Abstract

In the rapidly evolving digital era, the ability to accurately forecast product demand is crucial for marketplace platforms like Temu. Demand uncertainty can lead to issues such as overstock or stockout, both of which negatively impact financial performance and customer satisfaction. This study evaluates the use of predictive models and time series forecasting algorithms to forecast product demand on the Temu platform and identifies the latest trends in 2024. Daily sales data were analyzed using various algorithms, including ARIMA, SARIMA, Facebook's Prophet, and LSTM. The analysis results indicate that the Prophet model and SARIMA algorithm provide more accurate predictions compared to ARIMA and LSTM. The proper implementation of predictive models is expected to enhance operational efficiency and support better strategic decision-making for Temu. By adopting the most suitable forecasting models, Temu can optimize inventory management, reduce costs, and improve responsiveness to market changes
SOFTWARE GEOGEBRA SEBAGAI MEDIA PENUNJANG PEMBELAJARAN GEOMETRI DI SMK MUHAMMADIYAH 1 PURBALINGGA: (Pelatihan Software Geogebra di SMK Muhammadiyah 1 Purbalingga) Desviona, Nayla; Ifati, Adin Nadiya; Masruroh, Marwah
Abdi Masya Vol 4 No 1
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/abma.v4i1.235

Abstract

Matematika merupakan ilmu universal yang melingkupi berbagai bidang kehidupan dan menjadi penunjang ilmu pengetahuan lainnya. Salah satu pembahasan dalam matematika di tingkat sekolah menengah adalah geometri. Geometri merupakan salah satu materi yang mengharuskan siswa untuk memiliki bayangan 3 dimensi. Terdapat salah satu aplikasi (software) yang dapat membantu siswa dalam pemahaman materi geometri, yaitu software geogebra. Oleh karena itu, pelatihan software geogebra ini dilakukan dalam rangka mengenalkan dan memberi pengetahuan kepada siswa tentang penggunaan aplikasi dan terapannya pada materi geometri. Pelatihan dilakukan terhadap siswa SMK Muhammadiyah 1 Purbalingga. Metode pelatihan dilakukan dengan memberikan pemahaman tentang sofrware, praktek penggunaan dan memberikan soal studi kasus.  Hasil pelatihan menunjukan pemahaman siswa terhadap materi matematika semakin meningkat, terlihat dari antusias dan semangat siswa dalam mengikuti pelatihan.
STUDI PERAMALAN JUMLAH MAHASISWA SARJANA MENUJU VISI INDONESIA EMAS: PENERAPAN METODE SINGLE MOVING AVERAGE Desviona, Nayla; Masruroh, Marwah; Utama, Rifki Chandra
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.892

Abstract

The main focus of this research is to analyze the results of forecasting the number of undergraduate students in Indonesia using the single moving average method to support the vision of a Golden Indonesia. This research method uses quantitative methods through the application of descriptive methods, relying on secondary data taken through the official website of the Central Statistics Agency (BPS) and the Higher Education Database (PDDikti) for the 2020-2024 period. Forecasting data will be divided into two periods, then the results of forecasting are seen with the level of accuracy that will be measured using the MAPE, MSE, and MAD methods. The prediction results show that the number of students in 2025 will reach around 9.8 million, with the best level of accuracy in the two-year period, with a MAPE result of 3.59%. This method is effective for strategic planning, including facility provision, faculty allocation, and education policy development. The findings provide a foundation for policy makers in supporting a quality education system and realizing the golden generation in 2045.
Analisis Konseptual Model Pengaruh Perilaku dan Kepedulian Konsumen Terhadap Daur Ulang Sampah Elektronik Yudisha, Nabila; Matsaany, Bayun; Masruroh, Marwah; Sari, Intan Wulan
VOCATECH: Vocational Education and Technology Journal Vol 6, No 2 (2025): April
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v6i2.201

Abstract

AbstractElectronic products that can no longer be used will become electronic waste that must be treated differently from other wastes because they contain metals and toxic substances. Consumers are important in the management of electronic waste, because they are the actors in the hoarding of electronic waste. Awareness of preserving the environment can be built by implementing the 3R: Reducing, Reusing, Recycling. Factors that can be made to consumers' decisions to store, donate, sell, dispose of or recycle electronic products are socio-economic, infrastructure, and consumer motivation itself. The purpose of this study is to gain experience of e-waste management behavior in the world of higher education. The object of the research is lecturers, educators and students. This study uses a cross-sectional survey which is analyzed using the Structural Equation Model (SEM) method. There are 6 initial hypotheses, from the results of the calculation 5 hypotheses have a positive and significant relationship while 1 hypothesis has no significant relationship. From these results, a strategy was obtained to motivate consumers towards electronic waste, namely by providing exposure or promotion in informing the impact of electronic waste. AbstrakProduk elektronik yang tidak dapat dipakai lagi akan menjadi limbah elektronik yang harus diperlakukan berbeda dari limbah lainnya karena terdapat logam dan zat beracun. Konsumen menjadi hal yang penting dalam pengelolaan limbah elektronik, karena merekalah menjadi pelaku dalam penimbunan limbah elektronik. Kesadaran akan menjaga kelestarian lingkungan bisa dibangun dengan menerapkan 3R: Reducing, Reusing, Recycling. faktor yang dapat dilakukan terhadap keputusan konsumen untuk menyimpan, menyumbangkan, menjual, membuang atau mendaur ulang produk elektronik adalah sosial ekonomi, infrastruktur, dan motivasi konsumen itu tersendiri. Tujuan dari penelitian ini adalah mendapatkan pengalaman perilaku pengelola limbah elektronik pada dunia perguruan tinggi. Objek dari penelitian adalah dosen, tenaga pendidik serta mahasiswa. Penelitian ini menggunakan survey cross-sectional yang di analisis menggunakan metode Structural Equation Model (SEM). Terdapat 6 hipotesis awal, dari hasil perhitungan 5 hipotesis memiliki hubungan postif dan signifikan sedangkan 1 hopotesis tidak memiliki hubungan yang signifikan. Dari hasil tersebut didapatkan sebuah strategi untuk memberikan motivasi konsumen terhadap limbah elektronik yaitu dengan membirikan pemaparan atau promosi dalam memberitahukan dampak dari limbah elektronik.Kata Kunci: Sampah Elektronik ; Ifrastruktur ; Motivasi ; SEM ; Sosial Ekonomi
CLUSTERIZATION OF DISTRICTS AND CITIES IN JAMBI PROVINCE BASED ON PUBLIC HEALTH INDICATORS USING THE K-MEANS METHOD Desviona, Nayla; Masruroh, Marwah; Utama, Rifki Chandra
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 2 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i2.857

Abstract

Health is an important foundation for Indonesia, and public health is critical to improving the quality of human resources, overcoming poverty, and supporting development. In 2022, the morbidity rate in Jambi Province reached 12.11%, higher than the previous year which was only 7.16%. The morbidity rate of the people of Jambi Province in 2022 increased by around 5% compared to last year. Based on the data on the morbidity rate of the people of Jambi Province above, it can be seen that the health condition of the people of Jambi Province has decreased compared to the previous year. By using the k-means method, this study aims to group the districts and cities of Jambi Province based on their health indicators as an effort to prevent a decline in health status in the coming years. As an effort to set priorities in improving public health in Jambi Province. The research resulted in three health clusters based on health indicator data. Cluster 1, which contains Sungai Penuh City, is at a high level, meaning that health conditions in the city are very good compared to other cities. Cluster 2, which consists of West Tanjung Jabung Regency and Jambi City, is at a medium level, meaning that health conditions in this city are quite good compared to other cities. Cluster 3 Kerinci, Merangin, Sarolangun, Batanghari, East Tanjung Jabung, Tebo, and Bungo are at the lowest level, meaning that health conditions in this cluster are poor and require more attention.
PENERAPAN MATEMATIKA DALAM KEHIDUPAN SEHARI-HARI: PELATIHAN DAN WORKSHOP UNTUK MASYARAKAT UMUM Desviona, Nayla; Masruroh, Marwah; Rahmawati, Anisa; Utama, Rifki Chandra
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024): Volume 5 No. 3 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i3.29136

Abstract

Kegiatan pengabdian kepada masyarakat dengan judul "Penerapan Matematika dalam Kehidupan Sehari-hari: Pelatihan dan Workshop untuk Masyarakat Umum" dilatarbelakangi oleh kebutuhan untuk meningkatkan literasi matematika di kalangan masyarakat umum. Banyak individu mengalami kesulitan dalam menerapkan konsep-konsep matematika dalam kehidupan sehari-hari, yang berdampak pada pengambilan keputusan yang kurang efektif dalam manajemen keuangan pribadi dan analisis informasi statistik. Pelatihan ini dirancang untuk mengatasi masalah tersebut dengan memberikan materi yang relevan dan praktis. Metode yang digunakan mencakup perencanaan, pelaksanaan, evaluasi, dan tindak lanjut, dengan fokus pada interaksi dan partisipasi aktif peserta. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman dan keterampilan peserta dalam menerapkan matematika, terutama dalam manajemen keuangan, analisis statistik, dan logika matematika praktis. Tingkat kepuasan peserta juga sangat tinggi, menunjukkan keberhasilan metode yang digunakan. Kegiatan ini memberikan dampak positif yang signifikan dan berkelanjutan, memberdayakan masyarakat untuk lebih kompeten dalam menggunakan matematika untuk meningkatkan kualitas hidup mereka.
Co-Authors Anisa Rahmawati Desviona, Nayla Ginting, Yanti Mayasari Ifati, Adin Nadiya Matsaany, Bayun Nabila Yudisha Retno Subekti Sari, Intan Wulan Trisolvena, Muhammad Nana Utama, Rifki Chandra