Article Per Year (5 Year)
p-Index From 2021 - 2026
2.447
P-Index
This Author published in this journals
All Journal Science and Technology Indonesia Desimal: Jurnal Matematika Zero : Jurnal Sains, Matematika, dan Terapan Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Indonesian Journal of Education and Mathematical Science Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika ALACRITY : Journal Of Education Journal Of Human And Education (JAHE) BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural INTAN CENDEKIA: JURNAL PENGABDIAN MASYARAKAT Journal of Mathematics, Computation and Statistics (JMATHCOS)
Sarmada, Sarmada
Universitas Jambi
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
Quantile Regression Approach to Model Censored Data Sarmada Sarmada; Ferra Yanuar
Science and Technology Indonesia Vol. 5 No. 3 (2020): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (929.748 KB) | DOI: 10.26554/sti.2020.5.3.79-84

Abstract

Abstract The censored quantile regression model is derived from the censored model. This method is used to overcome problems in modeling censored data as well as to overcome the assumptions of linear models that are not met. The purpose of this study is to compare the results of the analysis of the quantile regression method with the censored quantile regression method for censored data. Both methods were applied to generated data of 150, 500, and 3000 sample size. The best model is then chosen based on the smallest absolute bias and the smallest standard error as an indicator of the goodness of the model. This study proves that the censored quantile regression method tends to produce smaller absolute bias and a smaller standard error than the quantile regression method for all three group data specified. Thus it can be concluded that the censored quantile regression method could result in acceptable model for censored data. Keywords: Censored data; quantile regression; quantile regression censored; standard error; absolute bias.
ANALISIS MODEL KEPUASAAN CIVITAS AKADEMIKA TERHADAP PELAYANAN PERPUSTAKAAN DI FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS JAMBI DENGAN METODE STRUCTURAL EQUATION MODELING (SEM) Sherli Yurinanda; Syamsyida Rozi; Sarmada Sarmada
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.434

Abstract

Service quality comes from a comparison between customer expectations about the service they should receive with the service they actually get. An important service unit in state universities such as the University of Jambi is the library service. The library is a service unit that provides services in the field of literature. The needs of library users, especially students, for science and other educational media are difficult to separate. Therefore, the library is one of the academic support facilities needed by library users such as students and lecturers. Based on the results of observations, various efforts have been made by the FST UNJA’s Library to improve services, but these improvements are still not optimal. Therefore, it is necessary to analyze the factors that influence service quality to assist the FST UNJA’s Library in reviewing the factors that affect service quality. The Structural Equation Modeling (SEM) method is a multivariate statistical method that can be used to look at the factors that influence the quality of the service. SEM is an appropriate analysis used in social research. In this study, there are two exogenous variables used, the first is employee competency which has manifest variables to measure it, such as knowledge, understanding, ability and attitude. The second is library facilities that have manifest variables to measure them, namely library space, library equipment and reading book collections. As well as the endogenous variables used in this study is the quality of service which has five manifest variables of reliability, responsiveness, assurance, empathy and tangible. The research data is primary data obtained by researchers by distributing questionnaires to visitors to the FST UNJA’s library
Sosialisasi Pemilihan Prioritas Penerima Bantuan Dana Sosial Menggunakan Algoritma Clustering di Kelurahan Tengah Kecamatan Pelayangan Yurinanda, Sherli; Sarmada, Sarmada; Sormin, Corry; Rozi, Syamsyida; Multhadah, Cut
Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural Vol 2 No 3: BATIK Desember 2024
Publisher : Institut Riset dan Publikasi Indonesia (IRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/batik.v2i3.1724

Abstract

Poverty is one of the problems that must be eradicated. The government's policies for poverty alleviation is the provision of social assistance funds. But the government must consider the eligibility of the recipients of the social assistance. Since 2021-2023, the poverty rate in Jambi Province has been recorded at over 250 thousand people each year. Of the several districts/cities in Jambi Province, Jambi City contributes the largest number of poor people. Tengah Village is one of the villages in Pelayangan District, Jambi City. As an effort to support the provision of targeted social assistance, a clustering algorithm is used group objects based on certain characteristics. One of the analysis in the clustering is the K-Means algorithm. This community service activity is the socialization of the use of clustering algorithms to help group data on social assistance recipients. The activity was attended by staff and RT heads in Tengah Village. Based on the evaluation, as many as 72,7% of the participants who attended stated that they were very satisfied, in addition they stated that this activity was very useful in supporting the decision to select priority recipients of social fund assistance in the Tengah Village.
How the Pigeonhole Principle Can be Applied to Verify the Number of Classrooms Needed Rozi, Syamsyida; Yurinanda, Sherli; Sarmada, Sarmada; Afrianda, Vionica; Sormin, Corry
ZERO: Jurnal Sains, Matematika dan Terapan Vol 8, No 1 (2024): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v8i1.19292

Abstract

Classrooms are one of the main needs for educational institutions to carry out learning activities and are an important element in creating an optimal learning environment for educators and students. Determining the number of classrooms should be done through the thorough calculation. The aim of this research is to perform how pigeonhole principle can be applied to verify the numbers of classroom needed. In working with pigeonhole principle, it should be clear what will be “pigeon”, and what will be “pigeonhole”. According to the results of this research, as we took the case study for Faculty of Science and Technology Universitas Jambi which currently build a new building, if FST wants to allocate the rooms for each department, it will need 52 classrooms based on scheme 1 and 58 classrooms based on scheme 2. While if FST does not consider the allocation for each department, then it will need 45 rooms based on scheme 1 and 46 classrooms based on sheme 2.
Comparison of quantile regression and censored quantile regression methods in the case of chicken consumption Sarmada, Sarmada; Yanuar, Ferra; Devianto, Dodi
Desimal: Jurnal Matematika Vol. 6 No. 2 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i2.18949

Abstract

The censored quantile regression method is a parameter estimation method that can be used to overcome censored data and BLUE (Best Linear Unbiased Estimator) assumptions that are not met. This research aims to compare the quantile regression method and the censored quantile regression method on data on chicken consumption cases in West Sumatra. The smallest RMSE (Root Mean Square Error) is an indicator of the goodness of the model. This research proves that the censored quantile regression method tends to produce smaller RMSE values than the quantile regression method. So it is concluded that the censored quantile regression method is the appropriate method for estimating parameters with censored data.
Pelatihan Software Statistik Bagi Mahasiswa UKK KSR PMI UIN Sulthan Thaha Saifuddin Jambi Multahadah, Cut; Sormin, Corry; Mardhotillah, Bunga; Kholijah, Gusmi; Z, Gusmanely; Alim, Khairul; Rarasati, Niken; Safitri, Yuliana; Sarmada, Sarmada; Yurinanda, Sherly; Rozi, Syamsyida
INTAN CENDEKIA (Jurnal Pengabdian Masyarakat) Vol 6, No 1 (2025): INTAN CENDEKIA: JURNAL PENGABDIAN MASYARAKAT
Publisher : Yayasan Pendidikan Intan Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47165/intancendekia.v6i1.681

Abstract

Keterbatasan kemampuan dalam pengolahan dan analisis data menjadi salah satu kendala utama yang dihadapi mahasiswa dalam penyusunan tugas akhir. Di lingkungan mahasiswa UKK KSR PMI UIN Sulthan Thaha Saifuddin Jambi, kebutuhan akan pelatihan penggunaan software statistik semakin meningkat seiring dengan tuntutan akademik yang tinggi. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan mahasiswa dalam menganalisis data menggunakan software statistic JASP melalui pelatihan yang terstuktur. Metode pelaksanaan kegiatan terdiri dari tiga tahapan, yaitu pendekatan kepada mitra, prosedur kerja yang mencakup perizinan, persiapan, pelaksanaan, dan evaluasi serta pelaksanaan pelatihan. Kegiatan ini dilaksanakan secara dari pada tanggal 18 juli 2024 melalui platform Zoom Meeting. Hasil evaluasi menunjukkan bahwa pelatihan ini mendapat tanggapan sangat baik dari peserta dengan lebih dari 78% peserta menyatakan kepuasan tinggi terhadap materi, penyajian, relevansi serta efektivitas waktu pelatihan. Diharapkan kegiatan ini dapat memberikan dampak positif dalam peningkatan kualitas tugas akhir mahasiswa serta mendorong kemandirian mahasiswa dalam melakukan analisis data penelitian.
Forecasting PT Pertamina Geothermal Energy TBK (PGEO) Share Prices using the Arch-Garch Model Ramadhan, Ramadhan; Yurinanda, Sherli; Sarmada, Sarmada
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.9493

Abstract

This study focuses on forecasting the daily closing price of PT Pertamina Geothermal Energy Tbk (PGEO) stocks, recognizing the non-stationary and volatile nature of financial time series data. Traditional forecasting methods, such as the ARIMA (Autoregressive Integrated Moving Average) model, are often insufficient for such data because they rely on the assumption of homoscedasticity, or constant variance in the residuals. An analysis of PGEO's daily stock prices from November 2023 to July 2024 revealed significant fluctuations, indicating the presence of heteroscedasticity, where the variance of the residuals is not constant. In tackling this problem, the study utilized the ARCH (Autoregressive Conditional Heteroskedasticity) and GARCH (Generalized Autoregressive Conditional Heteroskedasticity) frameworks, purpose-built to identify and model the phenomenon of volatility clustering within financial datasets. By integrating the ARIMA model with GARCH, the study aimed to create a more robust forecasting tool. After testing various combinations, the MA(1)–GARCH(1,1) model was identified as the most suitable for predicting PGEO's stock prices. This model successfully captured the fluctuating volatility and produced a highly accurate forecast, as evidenced by a Mean Absolute Percentage Error (MAPE) of just 2.97%. A MAPE value below 10% is generally considered to represent a very high level of forecasting accuracy, confirming the effectiveness of the chosen model in providing reliable short-term predictions for stock market movements. Keywords: ARCH-GARCH, Stock price forecasting, ARIMA
Application of Fuzzy Time Series Chen and Cheng Methods to Forecast Profit in a State-Owned Insurance Company Fajrin, Dirani Amaris; Yurinanda, Sherli; Sarmada, Sarmada
Indonesian Journal of Education and Mathematical Science Vol 6, No 3 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v6i3.26750

Abstract

PT. Taspen (Persero) as a state-owned enterprise in the services sector needs to analyze financial performance to understand the fluctuations in quarterly profit in 2022. This study uses the Fuzzy Time Series (FTS) forecasting method with two approaches, namely Fuzzy Time Series Chen and Fuzz Time Series Cheng, to predict profit and dividend prospects. The analysis stage of Chen's Fuzzy Time Series method includes determining the set of the universe (U), forming intervals, defining fuzzy sets, determining the membership value of each data, fuzzification of data, formation of Fuzzy Logic Relationships (FLR) and Fuzzy Logic Relationship Groups (FLRG), forecasting and defuzzification. Meanwhile, Cheng's Fuzzy Times Series method has similar stages but is equipped with FLRG weighting into the W matrix and standardization of the W matrix*. The results of the calculation of forecasting accuracy through MAPE, MSE, and MAE show that Cheng's Fuzzy Time Series method is more accurate than Chen's Fuzzy Time Series, with a smaller error value. This confirms that Cheng's Fuzzy Times Series method is more reliable in projecting PT. Taspen (Persero). 
The Use of Elbow K-Means And K-Medoids in the Grouping of Provinces in Indonesia Based on the Indicators of the Effectiveness of the Authentication Taspen Application With DBI and Silhoutte Coefficients Tasya, Anisya; Kholijah, Gusmi; Sarmada, Sarmada
ALACRITY : Journal of Education Volume 5 Nomor 3 Oktober 2025
Publisher : LPPPI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52121/alacrity.v5i3.891

Abstract

This study aims to classify Indonesian provinces based on the effectiveness of using the Taspen Authentication Application and to compare the performance of the K-Means and K-Medoids clustering algorithms. The research employed a quantitative approach using secondary data derived from the Taspen Authentication metrics, which include ten variables such as user, session, retention, login effectiveness, churn rate, and conversion rate. The data from 38 provinces were analyzed using cluster analysis. The optimal number of clusters was determined using the Elbow Method, and validation was performed with the Davies-Bouldin Index (DBI). The results indicate that the K-Means algorithm provides better clustering performance, with a DBI value of 1.752 and a Silhouette Coefficient of 0.2850. The findings reveal that 50% (19 provinces) demonstrate high effectiveness, 13.16% (5 provinces) moderate effectiveness, and 36.84% (14 provinces) low effectiveness in using the application. These results can serve as a basis for PT TASPEN and policymakers to develop region-specific strategies, including enhanced socialization, training, and infrastructure support to improve the overall effectiveness of the Taspen Authentication Application across Indonesia.
Pendampingan dan Workshop Penggunaan Software JASP Modul Machine Learning untuk Penerapan Case Based Learning Guna Menunjang Kinerja Kreatif – Inovatif Berorientasi Merdeka Belajar dan Merdeka Mengajar bagi Guru MGMP Matematika dan IPA SMP Se - Kabupaten Tanjung Jabung Timur Zurweni, Zurweni; Affan, Affan; Mardhotillah, Bunga; Rozi, Syamsyida; Sarmada, Sarmada; Sherly, Issaura
Journal Of Human And Education (JAHE) Vol. 4 No. 1 (2024): Journal Of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v4i1.701

Abstract

Teknologi pembelajaran tidak saja membahas tentang teknis kegiatan belajar di sekolah/kampus, namun dalam lingkupnya memuat serangkaian values terkait proses pembelajaran yang dapat menginspirasi, menggali imajinasi, untuk selanjutnya dapat diterapkan dalam beragam Teknik pembelajaran. Selain mengajarkan tentang kemampuan dan keterampilan, pembelajaran dengan mumpuni membahas dan mengupas tuntas mengenai nilai, norma, serta etika/standar attitude yang hidup dan berkembang dalam masyarakat. Guna memahami aspek – aspek penting tersebut, diperlukan metode – metode yang efektif, agar terwujud kinerja kreatif – inovatif berorientasi merdeka belajar guru penggerak bagi guru Matematika dan IPA SMP di Kabupaten Tanjung Jabung Timur. Pada era digital ini, teknologi diterapkan diberbagai bidang untuk mempermudah permasalahan yang ada. Oleh karena itu, tim pengabdian bermaksud meningkatkan kompetensi dan skill guru dalam pemanfaatan software JASP modul Machine Learning untuk Menerapkan Case based learning. Tim pengabdian akan mengenalkan bagaimana menyelesaikan permasalahan matematika terapan dan statistika terapan dengan optimalisasi penggunaan software JASP ini. Dengan fokus utama berupa skill pemecahan masalah dalam pengabdian ini, diharapkan PPM ini nantinya dapat meningkatkan efektivitas kinerja guru SMP, serta penerapan yang mumpuni dalam pembelajaran dan transfer ilmu kepada siswa – siswanya.
Co-Authors Affan, Affan Afrianda, Vionica Alim, Khairul CUT MULTAHADAH Devianto, Dodi Fajrin, Dirani Amaris Gusmanely. Z Gusri, Lailal kholijah, gusmi M. Yogi Riyantama Isjoni Mardhotillah, Bunga Multahadah, Cut Multhadah, Cut Nabilah Shahadah Randi Irawan rarasati, niken Safitri, Yuliana Sherly, Issaura Sormin, Corry Syamsyida Rozi Tasya, Anisya Yanova, Shally Yanuar, Ferra Yuliana Safitri Yurinanda, Sherli Yurinanda, Sherly Yusnidar Yusnidar Z, Gusmanely Zurweni Zurweni