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All Journal Jurnal Promosi Pendidikan Ekonomi Jurnal Pengabdian UntukMu NegeRI Jurnal Pendidikan : Riset dan Konseptual EKONOMIS : Journal of Economics and Business Pendas : Jurnah Ilmiah Pendidikan Dasar J-MAS (Jurnal Manajemen dan Sains) JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) International Journal Of Science, Technology & Management (IJSTM) Jurnal Ilmiah ASET JURNAL CERDAS PROKLAMATOR Language and Education Journal Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Jurnal Development JIDAN (JURNAL ILMIAH KEBIDANAN) Journal Of Human And Education (JAHE) Journal of Innovation Research and Knowledge Jurnal Pengabdian Masyarakat Waradin Padma: Jurnal Pengabdian Kepada Masyarakat Media Bina Ilmiah Jurnal Manajemen Informatika dan Bisnis Digital Jurnal Pendidikan Islam Al-Affan Jurnal Guru Pencerah Semesta (JGPS) Economics, Business, Management, & Accounting Journal JPNM : Jurnal Pustaka Nusantara Multidisiplin Journal of Information Systems Management and Digital Business RESLAJ: Religion Education Social Laa Roiba Journal Setawar Abdimas Jurnal Al-Maun Jurnal Economic Edu Jurnal Anak Bangsa Obat: Jurnal Riset Ilmu Farmasi dan Kesehatan Jurnal Abdimas UM Jambi ORAHUA : Jurnal Pengabdian Kepada Masyarakat International Journal of Psychology and Health Science Jurnal Riset Pendidikan dan Karakter Dinasti Health and Pharmacy Science International Journal of Innovation Research in Education, Technology and Management (IJIRETM) ENCRYPTION: Journal of Information And Technology Journal of Pharmacy Tiara Bunda NAAFI: JURNAL ILMIAH MAHASISWA
Ade Irma Suryani
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Hybrid Methods for Feature Selection Algorithms in the Field of Medical Records Syahidin, Yuda; Irma Suryani, Ade
International Journal of Psychology and Health Science Vol. 1 No. 3 (2023): International Journal of Psychology and Health Science (July-September 2023)
Publisher : Greenation Publisher & Yayasan Global Research National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijphs.v1i3.339

Abstract

Big data growth in the healthcare community, accurate analysis of medical data supports early disease detection, patient care and community services. However, the accuracy of the analysis decreases when the quality of the medical data is incomplete. Feature selection is a process that selects a subset of features that are relevant for a predictive modeling problem. This method can identify and remove unnecessary, irrelevant, and redundant attributes from the dataset, which do not contribute to the accuracy of the model or reduce the accuracy of the model. The challenge in research in the field of medical records is in structured and unstructured data which results in a method being needed to assist the algorithm in selecting good features. This paper provides an overview of the proposed hybrid method that can be used for feature selection algorithms in the field of medical records.
Feature Optimization for Classification of Medical Records with Evolutionary Algorithm Syahidin, Yuda; Irma Suryani, Ade; Rahman, Ika
Dinasti Health and Pharmacy Science Vol. 2 No. 1 (2024): Dinasti Health and Pharmacy Science (July 2024)
Publisher : Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dhps.v2i1.636

Abstract

Feature selection in medical records is necessary because the data usually contains many irrelevant features and noise. Electronic Health Record, abbreviated as EHR, makes it possible to analyze large amounts of medical data. A Genetic Algorithm is widely used for feature selection because it has the ability or potential for global optimization of the selected features. Genetic Algorithm-based methods include many iterations (generations) in the crossover process, and mutation can produce new individuals because the Genetic Algorithm adopts a fitness value to represent how ''good'' the resulting individual is. The problem with heuristic algorithms is those simple genetic algorithms are not for processing high-dimensional data. Genetic algorithms in solution search techniques always get local optimum solutions which can cause failure to obtain optimal solutions during random searches. From these limitations, developing and improving genetic algorithms for feature selection on clinical data is necessary. First, sort the features based on the feature evaluation criteria to exclude irrelevant features through the fitness process in the evaluation with the accuracy value of the Support Vector Machine calculation. This way reduces the number of features and results in optimal features. Then to get the optimal solution, it is necessary to optimize the subset features that have been selected using a machine learning algorithm that determines the best parameters using a genetic algorithm.
E-Learning Application Using the Jigsaw Method as A Mathematics Learning Media Restu Ningsih, Sri; Darwas, Rahmadini; Rahimullaily; Irma Suryani, Ade
ENCRYPTION: Journal of Information And Technology Vol. 1 No. 2 (2023): ENCRYPTION: Journal of Information And Technology, January 2023
Publisher : ASIAN PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58738/encryption.v1i2.382

Abstract

This research aims to facilitate the process of learning mathematics online in high schools, to increase the efficiency of teachers and students in understanding and evaluating lessons and to make it easier for teachers and students to give and submit assignments. The method in this study is SDLC using the Waterfall method, using the PHP programming language and MySQL database. The problem that is being faced in schools is that the process of teaching and learning activities uses conventional methods, still using WhatsApp as an online learning medium, and teachers ask students to turn in assignments to be delivered to school. The results of this study are e-learning applications as a jigsaw-based Mathematics learning medium that is able to provide benefits for teachers and students in the process of learning mathematics and submitting assignments at the school.
KELAS PASAR MODAL “BELAJAR SAHAM BAGI PEMULA” Ade Irma Suryani; Iqra Wiarta; Iwan Eka Putra; Yorina An’guna Bansa; Ika Dwi Maya
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 4: September 2022
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v2i4.3312

Abstract

Kegiatan pengabdian kepada Masyarakat ini dilaksanakan untuk meningkatkan literasi atau pengetahuan masyarakat khususnya kepada mahasiswa tentang pasar modal dan saham. Diharapkan dengan kegiatan ini, akan menunjang materi atau teori yang telah diterima oleh mahasiswa dari mata kuliah yang berkaitan, memahami lebih mendalam dengan cara praktik langsung salah satunya membuka akun rekening saham. Kegiatan dilakukan dengan beberapa tahapan, mulai dari tahapan pendataan peserta, koordinasi dengan Galeri Investasi KSPM Sang Surya, BEI Perwakilan Jambi dan Phintraco Sekuritas, tahapan pelaksanaan, dan evaluasi kegiatan ditahap akhir. Hasil dari kegiatan ini yakni seluruh peserta pada kegiatan ini telah mampu dan berhasil melakukan pembukaan rekening saham secara langsung
USING NURSERY RHYME TO TEACH LISTENING SKILL Ade Irma Suryani; Fitri Novia
Language and Education Journal Vol. 2 No. 2 (2017): Language and Education Journal
Publisher : Universitas Islam Ogan Komering Ilir Kayuagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52237/zmxce724

Abstract

Listening is a process to construct the meaning between speaker and listener. Unfortunately, in listening students not only have the important things but also difficult things. There are many kinds of song that teacher can use in teaching listening to support their teaching process. One of a song is a nursery rhyme. Hence, the purpose of this study was to find out whether or not there was a significant difference in listening achievement between students who were taught by using nursery rhymes and who were not. In conducting this study, quasi experimental design was used. In this study, the writer took the sample by using purposive sampling method. The writer used a written test in the form of fill in the blank. The t-test was used to analyze the data. Based on the result of the independent t-test, the t-obtained was 2.022. At the significance level of p<0.05 and the degree of freedom (df) 68. The critical value of ttable was 1.9955. Since the value of t-obtained (2.022) was higher than the value of t-table (1.9955) and p-value (0.047) was lower than ά-value (0.05), the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. In the other words, there was a significant difference in students’ listening achievement between students who were taught by using nursery rhyme and that of those who were not
PEMBERIAN PEMBELAJARAN LITERASI DIGITAL DI SDN 109 BENGKULU UTARA MELALUI PROGRAM KAMPUS MENGAJAR Maesin Yunita Sari; Ade Irma Suryani; Levy Oktridarti; Edi Susilo
Almaun: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): JUNI (2025)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/almaun.v5i1.8689

Abstract

Kegiatan pengabdian ini berfokus pada penerapan pembelajaran literasi digital melalui program Kampus Mengajar di SDN 109 Bengkulu Utara. Kegiatan ini bertujuan untuk meningkatkan kemampuan peserta didik dalam mengakses, menggunakan, dan mengelola informasi digital melalui aktivitas bimbingan dan pembelajaran berbasis digital. Metode pengabdian mencakup tahapan observasi, perencanaan program, pelaksanaan, dan evaluasi. Hasil menunjukkan bahwa siswa menjadi lebih terbiasa menggunakan perangkat digital dan lebih tertarik dalam belajar ketika pembelajaran dikaitkan dengan teknologi. Dengan demikian, program ini efektif dalam menumbuhkan budaya literasi digital di kalangan siswa sekolah dasar serta mendukung adaptasi guru terhadap teknologi pendidikan.
PRAKTEK PEMBUATAN KOLASE BARANG BEKAS DI SDN 139 BENGKULU UTARA MELALUI PROGRAM KAMPUS MENGAJAR Hari Fitriyani; Ade Irma Suryani; Dyah Noor Intan; Edi Susilo
Almaun: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): JUNI (2025)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/almaun.v5i1.8690

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk menumbuhkan kreativitas dan kepedulian lingkungan pada siswa melalui praktek pembuatan kolase dari barang bekas di SDN 139 Bengkulu Utara. Kegiatan ini merupakan bagian dari Program Kampus Mengajar. Metode yang digunakan meliputi tahap perencanaan, persiapan bahan, pelaksanaan, hingga evaluasi. Siswa diajarkan untuk memanfaatkan barang-barang bekas seperti koran, plastik, dan kardus untuk dijadikan karya seni kolase. Hasil kegiatan menunjukkan peningkatan kreativitas, semangat belajar, serta kerja sama antar siswa. Program ini tidak hanya menanamkan nilai cinta lingkungan, tetapi juga mengasah keterampilan motorik halus dan seni pada siswa sekolah dasar.
Potensi Tanaman Obat Tradisional Indonesia sebagai Agen Bio Aktif Penunjang Kesehatan Tulang Cut Massyitah Thaib; Artha Sianipar; Siti Nurbaya; Katarina Riris Teresia; Ade Irma Suryani; Eva Diansari Marbun
OBAT: Jurnal Riset Ilmu Farmasi dan Kesehatan Vol. 3 No. 5 (2025): September : OBAT: Jurnal Riset Ilmu Farmasi dan Kesehatan
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/obat.v3i5.1593

Abstract

Abstrak. Osteoporosis is a degenerative bone disease characterized by a decrease in bone mass and strength, particularly in postmenopausal women. Traditional plant-based therapy presents an attractive alternative given the rich local bioactive potential and limited access to pharmacological treatments. One important biochemical indicator in bone regeneration is the level of alkaline phosphatase (ALP). The aim of this study is to evaluate the potential of various Indonesian traditional medicinal plants as bioactive agents in the prevention of osteoporosis, with an emphasis on increasing ALP levels. This method employed a literature search by collecting several scientific articles discussing the anti-osteoporosis activity of traditional medicinal plants through in vitro, in vivo, and clinical observation studies. The results obtained show that traditional medicinal plants such as Turmeric (Curcuma longa), Black pepper (Piper nigrum), Bromelain (Ananas comosus), Papaya (Carica papaya), Japanese knotweed (Reynoutria japonica Houtt.), Veratrum nigrum, Sickle senna (Cassia tora), Red ginger (Zingiber officinale var. rubrum), Clove (Syzygium aromaticum L.), White turmeric (Curcuma zeadoaria), and Celery (Apium graveolens) are capable of reducing the number of osteoclasts and promoting bone formation. These findings consistently demonstrate a positive role in bone health through increased ALP levels. Indonesian traditional medicinal plants hold great potential as evidence-based anti-osteoporosis agents, particularly through enhancing ALP levels and osteoblast activity. This literature review supports the development of local herbal therapy as a promotive and preventive alternative against osteoporosis.
PENGARUH PEMBERIAN EKSTRAK ETANOL BIJI PAPAYA (CARICA PAPAYA L.) DAN DAUN GANDARUSA (JUSTICIA GANDARUSSA BURN. F.) SERTA KOMBINASINYA TERHADAP KUALITAS SPERMATOZOA MENCIT JANTAN (MUS MUSCULUS) TAHUN 2022 Irma Suryani, Ade
Journal of Pharmacy Tiara Bunda Vol. 3 No. 1 (2023): Journal of Pharmacy Tiara Bunda (JPTB)
Publisher : Politeknik Tiara Bunda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62619/jptb.v1i1.47

Abstract

Spermatozoa merupakan bentuk sel matur dari sel germinal yang terdapat dalam tubulus seminiferus. Kualitas spermatozoa dapat dilihat dari beberapa parameter seperti konsentrasi, motilitas dan morfologi spermatozoa. Salah satu tanaman yang mempunyai kemampuan untuk memengaruhi kualitas spermatozoa adalah biji tanaman pepaya (Carica papaya L.). Tujuan penelitian ini adalah untuk mengetahui pengaruh pemberian ekstrak biji pepaya (Carica papaya L.) terhadap kualitas spermatozoa terutama konsentrasi, motilitas dan morfologi spermatozoa. Penelitian ini merupakan penelitian yang bersifat studi pustaka (literature review) yang dilakukan dengan cara identifikasi dan interpretasi terhadap semua hasil penelitian tertentu. Literatur diperoleh dari database Pubmed, Sciencedirect, dan Google Scholar. Berdasarkan kriteria inklusi dan eksklusi didapatkan 14 literatur. Semua literatur yang terpilih adalah penelitian bentuk eksperimental. Penelitian ini menunjukkan bahwa dari 14 literatur yang terpilih, 8 literatur yang data hasil penelitiannya memberikan respon bermakna berupa penurunan konsentrasi spermatozoa, 13 literatur yang data hasil penelitiannya memberikan respon bermakna berupa penurunan motilitas spermatozoa dan 12 literatur yang data hasil penelitiannya memberikan respon bermakna berupa penurunan morfologi normal spermatozoa. Simpulan: Ekstrak biji pepaya (Carica papaya L.) memengaruhi kualitas spermatozoa yaitu menurunkan konsentrasi, motilitas dan morfologi spermatozoa
The Role of the Head of the Neighborhood Association (RT) in the Implementation of the Population Information System Sumiati, Sumiati; Mustika, Mustika; Irma Suryani, Ade
International Journal of Innovation Research in Education, Technology and Management Vol. 2 No. 2 (2025): August 2025
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/ijiretm.v2i2.277

Abstract

This study examines the role of the RT (Neighborhood Association) head in managing the Population Information System in Mekar Sari Village, Kumpeh District, Muaro Jambi Regency. Mekar Sari Village consists of 17 RTs, each of which is responsible for handling population data such as birth, death, and migration reports. This study uses a descriptive qualitative method, with primary and secondary data collection through observation and interviews with the RT head and related parties. The research findings indicate that although the RT head plays an important role in compiling, updating, and reporting population data, its implementation is still ineffective. The main obstacles include time constraints, low community participation, and late reporting to the village government. These findings highlight the need for increased support and system improvements to ensure more effective population data management, which in turn can better support overall village administration.
Co-Authors Abdussalaam, Falaah Aditya Rialdy Fannezar AGESHA MARSYAF Agus Alim Ahmad Nur Budi Utama Alda Ferizza Hartantri Alfin Julianto Alia Rahma Aliyani, Nuni Anggraeni, Ira Apfani, Sry Arif Setyawan, Adhita Arika Juwita Z Arika Juwita Z. Arman Syafa`at Arniwita, Arniwita Artha Sianipar Azwar Ananda Bansa, Yorina An'guna Cut Massyitah Thaib Cyntia Lasmi Andesti Darmiyanto, Andri Darwas, Rahmadini Darwas, Rahmadini Deka Veronica dwi, indri Dyah Noor Intan Eliani, Eliani Elizamiharti Elva Zuleni Elvi Zuriyani Endah Tri Kurniasih Endah Tri Kurniasih Endah Tri Kurniasih Ermaini Ermaini Erniwati Eva Diansari Marbun Faradilla Herlin Farida Farida Farras Najla Wiloka Fina Fitria Firjatullah, Tia Qurota Aeni Firmansyah Sumantri, Agung Fitri Novia Gemini Putri, Sesvina Gilang Ramadhan Ginting, Chrismis Novalinda Hafifah Mardia Hari Fitriyani Hario Tamtomo Herni Puspita Sari Hilyati Milla i, safi Iis Rostika Ika Dwi Maya Ika Dwimaya Roza Ika Dwimaya Roza Indri Ayuni Viana Iqra Wiarta Iqra Wiarta Islahudin Islahudin Ita Tri Utami Juanna Uly Siregar Katarina Riris Teresia Levy Oktridarti Loli Setria M Sabyan M. Sabyan Maesin Yunita Sari Marfilinda, Riri marsa hutabarat, selvin Martha, Alfroki MDK, Herwan Mita Vidi Yanti Muhammad Naufal Fernanda Mustika Mustika Mustika Mustika Mustika Mustika Mustika Nabil, Muhammad Razan Naurah Imtiyaza Nurandini Nelda Sari Siregar Nelfira Nella Vista Purba, Agnes Nensi Yuniarti Zs Nuke Dewi Utami Hamid Nurdin Nurdin Nurfalah Nurmaula, Sukma Nurul Huda, Ilham Nurul Khaerunnisa, Andi Oni Fatmala, Cut Pepi Adita Putri Putra, Iwan Eka Putri Zeniawati Rahayu Ningsih, Fitri Rahimullaily Rahman, Ika Rahmi Handayani Randi Engga Putra Restu Ningsih, Sri Revi Hermanda Rian Dani Rifdatul Hidayah, Tazkia Rini Widyastuti Salsabila Ananda Sephira Samsul Fajri Sazili Sazili Sazili Seftiana, Lelly Selni Septia Ningsih Selva Yuliana Selvin Marsa Hutabarat Sendi Sahrul Irawan Setriani, Loli SITI FATIMAH Siti Nurbaya Slamet Rianto sonia, Sonia Lorensa Sri Restu Ningsih Sri Wahyuni, Devi Sumiati Sumiati Sumiati, Ucu Surya, Rachmat Suselani Putri Maliala Tafrijiah Melinia Teddy Setiawan Thesalonika, Lona Trie Hierdawati Trina Febriani Tulljanah, Rahmia Veronica, Deka Wahab, Syaikhul Widyaningrum, Desy Yolanda Sari Yorina An’guna Bansa Yuda Syahidin Yuli Hermawan Padli Yusi Furdayanti