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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang Bitnet: Jurnal Pendidikan Teknologi Informasi IJECA (International Journal of Education and Curriculum Application) ABSYARA: Jurnal Pengabdian Pada Masyarakat Bima Abdi: Jurnal Pengabdian Masyarakat JAMAIKA: Jurnal Abdi Masyarakat Sintaks: Jurnal Bahasa dan Sastra Indonesia
Ramdani Purnamasari
STKIP Taman Siswa Bima
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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PENCARIAN KERNEL TERBAIK SUPPORT VECTOR REGRESSION PADA KASUS DATA KEMISKINAN DI INDONESIA DENGAN USER INTERFACE (GUI) MATLAB Muhammad Ghazali; Ramdani Purnamasari
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 9, No 1 (2021): Jurnal Statistika
Publisher : Department Statistics, Faculty Mathematics and Natural Science, Universitas Muhammadiyah S

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.9.1.2021.1-8

Abstract

Poverty is a topic that is often discussed in various scientific study forums. Facts on the ground show that increasing development has not been able to reduce the increasing number of poor people. Statistical studies on poverty data need to be carried out to assist the government in mapping policy-making patterns. One of the variables in mapping poverty data patterns is the Poverty Depth Index. The poverty depth index is a measure of the average gap in the distribution of each population's expenditure on the poverty line. Many factors affect the poverty depth index, especially from health, human resources and economic indicators. Therefore, a statistical modeling is needed to analyze the factors that affect the poverty depth index in Indonesia. The poverty data used in this study were sourced from the 2019 SUSENAS data in the form of data with individual observations of all provinces in Indonesia. Several previous studies using the Support Vector Regression (SVR) method to estimate the Poverty Depth Index as a response variable with several variables from health and economic indicators showed a very good level of model accuracy. However, SVR is constrained by choosing the right kernel to find the optimum prediction accuracy. So it is necessary to create a user interface that automatically selects the best type of kernel to facilitate the modeling process. The user interface will also help users to use the SVR even if they do not know the programming language. This study aims to: (1) produce a statistical analysis that makes it easier to map the pattern of factors that influence poverty in Indonesia, (2) produce a user interface that makes it easier for users to analyze poverty data in Indonesia. The conclusion obtained from this study is that the most accurate estimation is to use a degree 1 Gaussian kernel (RBF) SVR model while using the Polynomial kernel is not enough to provide a good estimate.
Support Vector Regression for Modeling Effect of Education Rate on Life Expectancy Rate in Indonesia Muhammad Ghazali; Ita Fitriati; Ramdani Purnamasari
IJECA (International Journal of Education and Curriculum Application) Vol 1, No 1 (2018): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/ijeca.v0i0.1986

Abstract

Life Expectancy Rate is the average number of years of life that is lived by someone who has reached a certain age. Life Expectancy is a tool to evaluate the government performance in improving the prosperity of the people. Studies on the factors that influence Life Expectancy Rate are needed to reach more accurate mathematics model to provide a better consideration for the government to determine the direction of future development policies. The data used in this study were derived from SUSENAS data with the objects of observations are all districts/cities in Indonesia in 2012. In this research, Support Vector Regression (SVR) method is used to estimate the effect of education factor which is represented by length of education by years (X) on Life Expectancy Rate (Y). Support Vector Regression (SVR) model in this research used several different kernels such as  polynomial kernel, RBF and Exponential RBF (ERBF) to find the best model. The best model criterion is the model that produces the largest R2 value. The best model resulted in this research is a model that uses Exponential RBF kernel.
PELATIHAN BAHASA PEMROGRAMAN MAPLE UNTUK GURU MATEMATIKA DAN IPA SMA SEDERAJAT Muhammad Ghazali; Muslim Muslim; Ramdani Purnamasari
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 1, No 2 (2020): JUNI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (651.606 KB)

Abstract

Guru yang berkualitas memiliki kompetensi dalam melaksanakan tugas dan fungsinya dengan baik. Pada saat pembelajaran, guru selalu berinteraksi dengan siswa yang mempunyai kemampuan atau potensi yang berbeda-beda. Dalam hal pembelajaran, komputer sudah menjadi alat bantu yang lazim digunakan di berbagai tingkatan sekolah. Software-software komputer untuk menyelesaikan masalah di bidang matematika juga tersedia, namun belum begitu dikenal oleh para guru maupun siswa. Kabid PTK guru-guru SMA di DIKBUDPORA Provinsi Nusa Tenggara Barat menyatakan bahwa masih ada sebagian guru yang kemampuan komputernya kurang. Hal tersebut tergambar dari Hasil Uji Kompetensi Guru (UKG) tahun 2019 menunjukkan bahwa rata-rata nilai UKG kecamatan Belo masih tergolong rendah dibanding kecamatan lain di Kabupaten Bima. Mengatasi hal ini, dibutuhkan sebuah strategi ataupun teknologi sebagai faktor pendukung untuk keberhasilan tujuan pendidikan, khususnya mata pelajaran Matematika. Pengabdian ini memperkenalkan bahasa pemrograman Maple kepada guru-guru Matematika dan IPA di SMA Sederajat dengan tujuan untuk meningkatkan kemampuan dan pengetahuan mereka dalam memahami dan menyelesaikan hitungan matematika dengan program tersebut. Tahapan pengabdian terdiri dari kegiatan sosialisasi, pelaksanaan dan evaluasi. Hasil dari kegiatan pelatihan ini yakni adanya tanggapan dan respon yang baik serta positif dari para peserta yang menunjukkan bahwa pelaksanaan kegiatan ini cukup berhasil. Dengan demikian, pelatihan bahasa pemrograman Maple dapat meningkatkan kemampuan dan pengetahuan guru dalam memahami dan menyelesaikan hitungan matematika guru matematika dan IPA SMA Sederajat.
PENGEMBANGAN E-EVALUATION TEMATIK BERBASIS GAMIFICATION LEARNING UNTUK PENINGKATAN LITERASI TEKNOLOGI DI SEKOLAH DASAR: Development of Gamification Learning-Based Thematic E-evaluation for Improving Technological Literacy in Elementary Schools Ita Fitriati; Nurmansyah Nurmansyah; Ramdani Purnamasari; Fitri Marwahdiyanti; Muhammad Nasihah
Bitnet: Jurnal Pendidikan Teknologi Informasi Vol. 7 No. 2 (2022): Bitnet: Jurnal Pendidikan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bitnet.v7i2.4064

Abstract

Literasi teknologi yang cocok diterapkan di sekolah dasar adalah dengan berbasis gamification learning atau pembelajaran yang mengadopsi karakteristik game (permainan), dimana siswa bisa belajar sambil bermain. Salah satu Literasi Teknologi yang diterapkan yaitu dengan membuat e-evaluation tematik, evaluasi elektronik yang muatannya adalah materi tematik. Pembelajaran tematik yang merupakan pembelajaran terpadu menggunakan tema untuk mengaitkan beberapa mata pelajaran, sehingga terjadi intergrasi antara pengetahuan, keterampilan dan nilai yang memungkinkan siswa aktif menemukan konsep seperti prinsip keilmuan secara menyeluruh, aktif, bermakna dan otentik. Tujuan dalam penelitian ini adalah untuk mengembangkan e-evaluation tematik berbasis gamification learning yang efektif, layak, praktis dan efisien untuk diimplementasikan pada sekolah dasar sekaligus mengukur ketercapaian peningkatan literasi teknologi dari hasil implementasi produk tersebut. adapun tujuan dari penelitian ini untuk mengembangkan sebuah produk e-evaluation tematik berbasis gamification learning untuk meningkatkan literasi teknologi pada salah satu sekolah dasar di kabupaten Bima. Metode penelitian yang digunakan menggunakan metode Pengembangan dengan mengambil model ADDIE yang terdiri dari lima tahapan yaitu Analysis (analisis), Design (Perancangan), Development (Pengembangan), Implementation (implementasi), Evaluation (Evaluasi). Hasil validasi materi oleh ahli yaitu guru matapelajaran tematik pada kelas V terhadap ketiga produk e-evaluation tematik berbasis gamification learning dengan nilai rerata 96,4 % dengan kategori sangat layak. Setelah diimplementasikan di Sekolah Dasar Wihdatul Ummah terhadap 26 siswa dengan nilai 70,51% nilai ketuntasan. Sedangkan peningkatan literasi teknologi yang diukur dari 5 indikator 81,4 % pada kategori Tinggi.
Analisis Kemampuan Berbicara dalam Presentasi Ilmiah Mahasiswa Program Studi Pendidikan Teknologi Informasi STKIP Taman Siswa Bima Ramdani Purnamasari
Sintaks: Jurnal Bahasa & Sastra Indonesia Vol. 2 No. 2 (2022)
Publisher : Medan Resource Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1188 KB) | DOI: 10.57251/sin.v2i2.525

Abstract

This research is a field research using a qualitative approach. This study aims to analyze students' speaking ability in scientific presentations in Indonesian language courses. The population of this study is 20 pepople students of the Information Technology Education Study Program who programmed Indonesian Language courses. Data collection techniques were carried out using tapping techniques in the form of video recordings. Based on the results of the study, students' speaking skills were obtained in aspects of pronunciation, grammar, vocabulary, fluency and understanding, including: on the aspect of pronunciation with the majority of respondents (8 respondents - 40%) with a weight of 3; Grammar aspect with the majority of respondents (10 respondents - 50%) with a weight of 3; Aspects of Vocabulary with the majority of respondents (11 Respondents - 55%); Smooth Aspect with the majority of respondents (9 Respondents - 45%); and the understanding aspect with the majority of respondents (9 Respondents - 45%) Based on the average achievement of the five aspects, the speaking ability of students of the Information Technology Education Study Program STKIP Taman Siswa Bima in scientific presentation activities is at a good level or category.
Workshop Penyusunan Internet Based Test (IBT) Menggunakan Metode Gamification Learning untuk Guru SMK Ita Fitriati; Nur Fitrianingsih; Ahyar Ahyar; Ramdani Purnamasari; Fitri Ningsi; Ika Irawati; Wahyudin Wahyudin
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2023): Bima Abdi: Jurnal Pengabdian Masyarakat, Edisi Juli - Desember 2023
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/bajpm.v3i2.324

Abstract

Pengabdian ini bertujuan untuk meningkatkan kompetensi pedagogik guru SMK Pelita Harapan Bima. Kegiatan ini dikonsepkan dalam bentuk workshop penguatan pemahaman dan penyusunan Internet Based Test (IBT) dengan menggunakan metode gemification learning. Metode workshop ini terdiri dari beberapa tahapan yakni persiapan (analisis kebutuhan atau permasalahan yang dihadapi mitra, menawarkan solusi, menyusun perangkat workshop), pelaksanaan (penyampaian materi dan penyusunan IBT), pasca pelatihan (pelatihan dan pendampingan lebih lanjut bagi guru yang masih mengalami kesulitan dalam menyusun IBT). Hasil pre test menunjukkan bahwa presentasi peserta yang tidak mengetahui gamefication lebih tinggi yaitu sekitar 58%, peserta tidak memiliki pengalaman mengikuti kegiatan pelatihan literasi teknologi sebelumnya sekitar 83% dan tidak pernah menerapkan teknologi sekitar 58%. Setelah dilakukan pelatihan dari 3 platform yang digunakan 91% berpendapatan platform kahoot paling sulit digunakan, namun 72% menunjukkan bahwa peserta berminat untuk memperlajari semua aplikasi gamification. Hasil workshop ini dapat disimpulkan bahwa kegiatan ini mampu meningkatkan minat peserta dalam menggunakan teknologi untuk kebutuhan evaluasi pembelajaran.
Transformasi kemampuan analisis statistik mahasiswa UIN Mataram melalui pelatihan software JASP Muhammad Ghazali; Muhammad Zohri; Juwita Lestari; Ramdani Purnamasari; Ita Fitriati
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 4 No 2 (2023): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v4i2.22540

Abstract

Statistical data analysis is the process of examining, cleaning, transforming, and modeling data with the aim of discovering useful information, drawing conclusions, and supporting decision-making. This process involves various statistical techniques and methods applied to data to understand, explain, and predict phenomena. Skills like these are greatly needed by students. Therefore, training in the use of the open-source statistical application JASP is necessary to enhance the statistical data analysis capabilities of UIN Mataram students, especially those in their final semester. This community service activity aims to introduce and train the use of JASP as a free and license-free alternative for statistical data analysis, considering the limitations of accessibility and ethical issues surrounding the use of paid software like SPSS in academic environments. The training methodology includes theoretical sessions and practical application of JASP, focusing on multiple linear regression analysis and path analysis. An initial survey showed that only 25% of final-semester students were familiar with open-source applications like JASP. After the training, there was a significant increase in understanding and application of JASP, with 85% of participants showing improved competence. These results demonstrate the importance of training in open-source statistical applications to support student academic research and strengthen academic integrity within the Islamic university environment. This study provides insights into ethical and affordable statistical software alternatives and highlights the importance of analytical skills in higher education.
Co-Authors Ahyar Ahyar Fitri Marwahdiyanti Fitri Ningsi Ika Irawati Ita Fitriati Juwita Lestari Muhammad Ghazali Muhammad Ghazali Muhammad Ghazali Muhammad Nasihah Muhammad Zohri Muslim Muslim Nur Fitrianingsih Nurmansyah Nurmansyah Wahyudin Wahyudin