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Pelatihan Pembuatan Media Pembelajaran Matematika Interaktif Berbasis Microsoft Powerpoint di MA Attamimy Lombok Tengah Nurul Fitriyani; Mustika Hadijati; Lisa Harsyiah; Zulhan Widya Baskara
Jurnal Pengabdian Masyarakat Sains Indonesia Vol. 3 No. 2 (2021)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.553 KB) | DOI: 10.29303/jpmsi.v3i2.147

Abstract

Madrasah Aliyah (MA) Attamimy adalah yang berada di bawah naungan Yayasan Pondok Pesantren Attamimy. MA Attamimy ini memiliki visi dan misi untuk melahirkan manusia-manusia yang berimtaq, berakhlak mulia, serta mampu bersaing menghadapi tantangan zaman global. Pada dasarnya, MA Attamimy ini telah memilki fasilitas komputer beserta akses internet yang cukup memadai, namun penggunaannya belum digunakan secara maksimal. Masalah lain yang juga terjadi adalah munculnya istilah mathematics phobia di kalangan siswa di MA Attamimy. Beberapa kesan negatif mengenai ilmu sains dan matematika ini mengharuskan penyampaian materi dan proses pembelajaran di kelas harus dikemas semenarik mungkin. Tujuan dilakukannya kegiatan Pengabdian kepada Masyarakat ini adalah dalam rangka pemanfaatan internet dan Microsoft PowerPoint dalam membuat media pembelajaran yang interaktif. Berdasarkan kegiatan Pengabdian kepada Masyarakat yang dilakukan di MA Attamimy, perlu untuk dilakukan kegiatan lanjutan sebagai bentuk kesinambungan kegiatan. Microsoft PowerPoint sendiri telah dimanfaatkan dalam membuat media pembelajaran interaktif oleh peserta kegiatan Pengabdian kepada Masyarakat, hanya saja perlu ditingkatkan pemanfaatan fitur-fitur, salah satunya fitur hyperlink, sehingga dapat meningkatkan kualitas pembelajaran.
Peramalan Jumlah Siswa Baru Madrasah Aliyah (MA) Manhalul Ma’arif Darek-Lombok Tengah Lisa Harsyiah; Nurul Fitriyani; Salwa Salwa
Eigen Mathematics Journal VOL. 3 NO. 2 DESEMBER 2020
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v3i2.88

Abstract

This study aimed to forecast the new student number at Madrasah Aliyah (MA) Manhalul Ma'arif Darek. The data used in this study was the annual time series data of new students who enrolled in the school, from the 1998/1999 academic year to 2016/2017. Based on the data obtained, it shows that the number of new students who enroll in Madrasah Aliyah (MA) Manhalul Ma'arif Darek tends to fluctuate. This fluctuating pattern is a problem faced by Madrasah Aliyah (MA) Manhalul Ma'arif Darek in determining strategic and policy steps related to planning the provision of school facilities / infrastructure. Therefore we need a forecasting method in accordance with the data pattern. The forecasting method used is the Fuzzy Time Series Cheng method. This method uses fuzzy principles as the basis of the forecasting process. The forecasting process results obtained the Mean Square Error (MSE) value of 101.5009 and the Mean Absolute Percentage Error (MAPE) value of 18.49%. The results showed that the Fuzzy Time Series Cheng method performed well in predicting the number of new students at Madrasah Aliyah (MA) Manhalul Ma'arif Darek.
ANALISIS KASUS COVID-19 DI PROVINSI NUSA TENGGARA BARAT MENGGUNAKAN METODE RANTAI MARKOV Dara Puspita Anggraeni; Attina Ulansari; Mustika Hadijati; Lisa Harsyiah
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 14 No 2 (2022): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v14i2.356

Abstract

The aim of this research is to determine the shape of the matrix of the transition opportunity and predict the probability of the occurrence of Covid 19. The method used is Markov Chain which utilizes historical data from Covid 19 cases. This method can explain the probability of occurrence in stages or per state. The data used is data on positive cases, recovered and died from Covid 19, starting from January 24 to April 23, 2021. The results of this study are in the form of a transition opportunity matrix for each Covid 19 case and the highest probability value at steady state for positive patient cases is 39.496% in state 3, the probability value in the case of a recovered patient is 33.088% in state 2 and the probability value in the case of a deceased patient is 41.414% is in state 1.
Peningkatan Pemahaman Statistika dan Peranannya pada Era Revolusi Industri 4.0 di Madrasah Aliyah Hidayatul Muhsinin Labulia Mustika Hadijati; Lisa Harsyiah; Nurul Fitriyani
JURNAL KARYA PENGABDIAN Vol 3, No 1 (2021): April, Jurnal Karya Pengabdian
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.853 KB)

Abstract

Saat ini sedang terjadi Revolusi Industri 4.0 yang ditandai dengan adanya perkembangan pesat pada bidang teknologi sensor, interkoneksi dan analisis data. Pada era Revolusi Industri 4.0 ini, data science semakin marak digunakan di berbagai industri, sehingga analisis statistika merupakan pengetahuan dan keterampilan yang harus dimiliki dan menduduki urutan kedua diantara 25 keterampilan lainnya pada saat sekarang. Pentingnya statistika di era Revolusi Industri 4.0 tersebut menjadi dasar pentingnya kegiatan pengabdian ini, karena para siswa khususnya siswa tingkat SMA harus memahami peranan statistika tersebut dan meningkatkan pemahaman mereka di bidang statistika. Dengan demikian mereka lebih siap menghadapi perkembangan dunia industri dengan memanfaatkan analisis statistika yang dibutuhkan. Kegiatan pengabdian ini dilaksanakan dengan melakukan kegiatan sosialisasi yang dapat meningkatkan pemahaman para siswa dan juga guru tentang statistika dan perananya pada era Revolusi Industri 4.0. Kegiatan dilaksanakan di Madrasah Aliyah Hidayatul Muhsinin Labulia Lombok Tengah. Permasalahan umum yang ada di sekolah tersebut adalah pemahaman siswa tentang statistika dan peranan statistika di era Revolusi Industri 4.0 masih kurang. Demikian juga metode pembelajaran statistika yang dilakukan kurang bervariasi. Target yang ingin dicapai dalam kegiatan pengabdian ini adalah adanya peningkatan pemahaman siswa Madrasah Aliyah Hidayatul Muhsinin Labulia Lombok Tengah tentang statistika dan peranannya pada era Revolusi Industri 4.0. sehingga para siswa bisa mempersiapkan dirinya lebih baik untuk bisa bersaing pada era ini. Hasil evaluasi yang dilakukan menunjukkan adanya peningkatan pemahaman siswa dan bahkan guru tentang materi statistika dan juga peranan statistika pada era Revolusi Industri 4.0.. Kata kunci: Revolusi Industri 4.0, data science, statistika
PELATIHAN PEMBUATAN DATABASE MENGGUNAKAN MICROSOFT ACCESS DI MADRASAH ALIYAH MANHALUL MA’ARIF DAREK Jurnal Pepadu; Lisa Harsyiah; Mustika Hadijati; Zulhan Widya Baskara; Nurul Fitriyani
Jurnal Pepadu Vol. 4 No. 2 (2023): Jurnal Pepadu
Publisher : LPPM UNIVERSITAS MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v4i2.2279

Abstract

Madrasah Aliyah Manhalul Ma’arif Darek adalah sekolah swasta setingkat SMA yang berlokasi di Kelurahan Darek, Kecamatan Praya Barat Daya, Kabupaten Lombok Tengah, Provinsi Nusa Tenggara Barat. Seperti halnya Madrasah lain, Madrasah Aliyah Manhalul Ma’arif Darek juga menginginkan Sumber Daya Manusianya menjadi umat yang beriman, bertaqwa, berakhlak mulia serta menguasai Ilmu Pengetahuan dan Teknologi. Untuk mewujudkan hal tersebut pihak Madrasah menyediakan fasilitas pendukung dengan harapan fasilitas tersebut dapat digunakan sebagai mana mestinya. Permasalahan yang terjadi adalah fasilitas komputer yang disediakan belum maksimal penggunaannya terutama proses rekapitulasi data siswa belum dilakukan secara optimal karena masih menggunakan cara manual melalui Buku Siswa. Tujuan dilakukannya kegiatan Pengabdian kepada Masyarakat ini adalah bagaimana memanfaatkan fasilitas komputer yang disediakan untuk proses penginputan dan rekapitulasi dengan cara membuat database. Pembuatan database dapat memanfaatkan software Microsoft Access. Dengan adanya database diharapkan data siswa dapat terhimpun dengan lebih teratur, aman, dan minim dari resiko hilang dan rusak. Data siswa yang tersimpan dengan baik menggunakan database akan memudahkan dalam proses pengaksesan sehingga ketika dibutuhkan tidak membutuhkan waktu yang lama. Berdasarkan kegiatan Pengabdian kepada Masyarakat yang dilakukan di Madrasah Aliyah Manhalul Ma’arif Darek bahwa rekapitulasi data masih banyak dilakukan secara manual menggunakan Buku Siswa. Oleh karena itu kegiatan pelatihan pembuatan database menggunakan Microsoft Access perlu dilakukan secara berkesinambungan agar para peserta semakin lancar dan terlatih dalam pembuatan database sehingga dapat diimplementasikan untuk merekapitulasi data siswa. Diharapkan dengan adanya database, data siswa di Madrasah Aliyah Manhalul Ma’arif Darek dapat terinput, tersimpan dan dilakukan pencarian saat dibutuhkan dengan cara yang efektif dan efisien.
Peramalan Harga Beras dengan Metode Double Exponential Smoothing dan Fuzzy Time Series (Study Kasus : Harga Beras di Kota Mataram) Sulpaiyah Sulpaiyah; Syamsul Bahri; Lisa Harsyiah
Eigen Mathematics Journal Vol. 5 No. 2 Desember 2022
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v5i2.123

Abstract

Rice has become the main staple food for almost the entire population of Indonesia. However, in Indonesia, the price of food commodities (rice) often fluctuates in price. Due to the rapid fluctuation of rice prices and the uncertainty in the future, it is necessary to forecast rice prices. This study aims to predict the price of rice in the city of Mataram using the Holt double exponential smoothing method and the Cheng fuzzy time series. The model's performance is based on Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) indicators. Forecasting model based on Holt's double exponential smoothing method, the MSE value is 705967.4994 and the MAPE value is 7.91%. On the other hand, based on Cheng's fuzzy time series method, the performance of the forecasting model based on the MSE indicator is 627400.307 and based on the MAPE value of 7.39%. Based on these results, Cheng's fuzzy time series method is more accurate than Holt's double exponential smoothing method.
Analisis Pengendalian Kualitas Air Minum dalam Kemasan Menggunakan Metode FMEA dan Penerapan Kaizen (Study Kasus di PT.Lombok Pusaka Adam, Jelantik Lombok Tengah) Lailatul Pahmi; Emmy Dyah Sulistiowati; Lisa Harsyiah
Eigen Mathematics Journal Vol. 5 No. 1 Juni 2022
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v5i1.126

Abstract

Clean water is one of the basic needs with unlimited use, even in the economic field. The opportunities provided can be utilized by companies that produce bottled drinking water. The existence of defective products is obtained in production so that the need for quality analysis of the product is still within the control limits on the P chart. This is done by knowing the highest value in the influential failure mode. So that suggestions for improvement with Kaizen can be given. Based on the control P chart obtained, all points of defective products in the production process are within control limits with a UCL limit of 0.00804 and an LCL limit of 0.00602. This indicates that the defective product is statistically controlled. The Failure Mode and Effect Analysis (FMEA) method assigns a priority value to each failure mode, and the value is the Risk Priority Number (RPN). The biggest RPN is that the cover does not stick to the surface of the cup, with an RPN value of 240. The proposed improvement using the Kaizen method is to increase inspections and routine repairs on the machine.
Analisis Faktor Untuk Pemetaan Karakteristik pada Percobaan Dekafeinasi Kopi Robusta Zulhan Widya Baskara; Lisa Harsyiah; Dewa Nyoman Adi Paramartha; Qabul Dinanta Utama
Eigen Mathematics Journal Vol. 5 No. 1 Juni 2022
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v5i1.139

Abstract

In recent years, there has been a positive trend in coffee consumption in Indonesia. Coffee that was initially identical to older man's drinks is starting to be liked by teenagers and children because coffee contains caffeine which can have an addictive effect. Coffee has various benefits, such as preventing drowsiness, antioxidants, improving brain performance, and reducing fatigue. However, drinking a lot of coffee than your body can tolerate will cause symptoms of insomnia, excessive anxiety, and increased blood pressure. Various experiments have been made to reduce the caffeine content in coffee (decaffeination), one of which is mixing coffee with chayote juice (Sechium edule). Furthermore, this article classified the characteristics of decaffeinated products, caffeine content, moisture content, total acid titration, ash content, hue color, and L value. Using factor analysis, it is known that the characteristics can be mapped into three principal components. The first principal component consists of variables of caffeine content, water content, and hue color value. The second principal component consists of ash content and total acid content titration variables, and the third principal component, this factor, consists only of the characteristic L. It is also known that these three main components can explain 74.2% of the diversity of origin.
Classification Of Perceptions Of The Covid-19 Vaccine Using Multivariate Adaptive Regression Spline Rizki Fitri Ananda; Lisa Harsyiah; Muhammad Rijal Alfian
Jurnal Varian Vol 6 No 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v6i2.2639

Abstract

Indonesia is one of the countries infected with the covid-19 virus. One of the government's efforts is the covid-19 vaccination. However, the covid-19 vaccination caused controversy for some people because many people refused to be vaccinated. Public perception of the covid-19 vaccine can be categorized into two, namely positive and negative, based on survey from Indonesia ministry of health about acceptance of covid-19 vaccine state that this can be influenced by many factors. These factors are important to know as an effort to increase acceptance of covid-19. Multivariate Adaptive Regression Splines (MARS). The purpose of this study is to determine the classification model of public perception of the covid-19 vaccine and the factors that influence it. The method used in this study is Multivariate Adaptive Regression Splines (MARS). This method is appropriate classification method to be applied to categorical response variable data, The outcomes demonstrate that the optimum mars model is produced by combining BF= 24, MI =3, MO= 1, and GCV=0.07340546. The resulting classification level is 91.5% with influencing factors yaitu gender (x_1), age (x_2), last education (x_4), willingness to vaccinate (x_6), education (x_8). Based on the results obtained, the government can consider these factors for socialization
ANALISIS LULUSAN MATEMATIKA FMIPA UNIVERSITAS MATARAM MENGGUNAKAN DIAGRAM KONTROL MULTIVARIATE EXPONENTIALLY WEIGHTED MOVING AVERAGE (MEWMA Vidya Atika Ramdani; Emmy Dyah Sulistyowati; Lisa Harsyiah
Eigen Mathematics Journal Vol. 6 No. 1 Juni 2023
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v6i1.148

Abstract

Quality control of Mathematics graduates of FMIPA UNRAM in 2012-2018 with a control chart of the Multivariate Exponentially Weighted Moving Average (MEWMA), is carried out to determine the quality of graduates of the Mathematics Study Program FMIPA UNRAM and to compare the quality of Mathematics graduates FMIPA UNRAM in 2012-2018 using MEWMA and T2 Hotelling control charts. In this test, control was carried out using three control variables, namely the Grade Point Average , length of study , and the number of Semester Credit Units . This study used the weighting value  with the Upper Control Limit (UCL) of 10,685. The results obtained that the control chart formed to show that 42 data are outside the control limits (out of control), which causes the quality of graduates to be out of control. Using the EWMA univariate control chart, it is known that the length of study variable  causes the data to be out of control. Therefore, a revision was made to the MEWMA control chart so that the quality control process for Mathematics FMIPA Mataram University graduates was within the control limits after the second revision. This is indicated by the absence of observation points  outside the control limits so that the quality of mathematics graduates can be said to be good. Furthermore, a comparison of the results of observations with the quality of Mathematics graduates of Mataram University using the T2 Hotelling control chart in the previous study was carried out with the results that there was one data subgroup that was outside the control limit with = 14.5249 which led to the need for one revision of the T2 Hotelling control chart to obtain statistically controlled diagram. Thus, it can be said that the MEWMA control chart is more sensitive than the Hotelling T2 control chart.