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Kharisma
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IDENTIFIKASI TUMBUHAN BERPOTENSI ANTIMALARIA DI KECAMATAN RUPIT KABUPATEN MUSI RAWAS UTARA Kharisma; Wardianti, Yunita; Nopiyanti, Nopa
Linggau Journal Science Education (LJSE) Vol. 5 No. 1 (2025): Linggau Journal Science Education
Publisher : LP3MKIL

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Abstract

Penelitian ini bertujuan untuk mengetahui jenis-jenis tumbuhan berpotensi antimalaria, bagian-bagian tumbuhan yang digunakan sebagai antimalaria, dan cara pengelolahan tumbuhan antimalaria oleh masyarakat di kecamatan Rupit. Metode penelitian yang digunakan adalah deskriptif kualitatif. Pengumpulan data dalam penelitian ini menggunakan teknik purposive sampling dan menggunakan metode survei dengan jelajah. Hasil penelitian yang dilakukan mengenai identifikasi tumbuhan berpotensi antimalaria di Kecamatan Rupit Kabupaten Musi Rawas Utara pada tanggal 13 Desember 2023 -13 Januari 2024 ditemukan 26 jenis tumbuhan yang terdiri dari 24 famili. Bagian tumbuhan yang paling banyak digunakan sebagai antimalaria oleh masyarakat di Kecamatan Rupit yaitu daun (33,3%), sedangkan bagian tumbuhan lain yang digunakan yaitu akar (3,0%), batang (9,0%), rimpang (6,0%), buah (21,2%), biji (3,0%), rimpang (6,0%), dan bunga (6,0%). Cara pengolahan tumbuhan berpotensi antimalaria yang paling banyak digunakan oleh masyarakat di Kecamatan Rupit yaitu direbus (50%), sedangkan cara pengelolahan tumbuhan yang lain yaitu ditumbuk ( 13,1%), diparut (5,2%), diperas (5,2%), tanpa diramu (5,2%), direndam (5,2%), dan dikeringkan (5,2%). Kata Kunci : Tumbuhan, Berpotensi Anti Malaria, Kecamatan Rupit
EDUKASI LITERASI KESEHATAN MENTAL BERBASIS DIGITAL MELALUI PENGENALAN PLATFORM DETEKSI DINI PADA GENERASI Z Irmma Dwijayanti; Alfirna Rizqi Lahitani; Kartikadyota Kusumaningtyas; Muhammad Habibi; Kharisma
Jurnal Berdaya Mandiri Vol. 7 No. 1 (2025): JURNAL BERDAYA MANDIRI (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbm.v7i1.7666

Abstract

Mental health education in Z Generation still receives less attention, even though mental health disorders in adolescents can develop into serious problems if not treated early. Many students do not understand or recognize the early symptoms of mental health disorders, and there is a lack of school involvement in providing related education. Technology can be a solution to help with early detection, one of which is through the Beck Depression Inventory (BDI)-based platform from Pijar Psikologi. This activity is expected to provide an understanding of the importance of mental health and how to recognize the early symptoms of mental health disorders. Pengabdian kepada Masyarakat (PkM) activity aims to introduce early detection tools for mental health disorders for students of SMK N 02 Yogyakarta. The methods used include pre-test, socialization and dissemination of research results, the practice of using early detection platforms, and post-test. Based on the results of the comparative analysis of pre-test and post-test scores, there was an increase in participants' knowledge regarding mental health by 90%. This shows that the delivery of the material provided is effective in increasing participants' knowledge. This increase in knowledge can be the basis for students to become cadres who are directly involved in disseminating digital literacy related to the use of information technology in mental health. Keyword: mental health, mental health education, Z generation, early detection tools
ENVIRONMENTAL AND SOCIAL IMPACT ANALYSIS USING REMOTE SENSING: CASE STUDY OF FOOD ESTATE MERAUKE, PAPUA Batjo, Athanaya; Ayunita, Elia; Kharisma
MAJALAH PEMBELAJARAN GEOGRAFI Vol. 8 No. 1 (2025): MAJALAH PEMBELAJARAN GEOGRAFI
Publisher : Program Studi Pendidikan Geografi, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/pgeo.v8i1.53709

Abstract

This study aims to analyze the impact of the implementation of the Food Estate project on environmental sustainability in Merauke Regency, Papua, using remote sensing data (NDVI and MNDWI) along with spatial analysis. From 2016 to 2020, before the project was implemented, the area was largely covered by healthy vegetation and natural ecosystems that helped maintain ecological and hydrological balance. However, since the program started in 2021 up to 2024, there has been a noticeable reduction in green vegetation, suggesting extensive land conversion and environmental stress. NDVI and MNDWI results point to declining soil quality and disruptions in the natural water cycle, which raise concerns about possible droughts and seasonal floods. The spatial analysis also shows that some Food Estate areas overlap with protected zones and indigenous territories, which could lead to land use conflicts and increase social inequality. These findings suggest that the project may be threatening local ecosystems and the livelihoods of communities who depend on them. Therefore, further policy evaluation and the implementation of conservation techniques and sustainable environmental management are needed to ensure that the project meets food security goals without sacrificing ecosystem sustainability and indigenous rights.
Impact of Behavioral Bias, Price Volatility, and Market Capitalization on Cryptocurrency Purchase Decisions in Indonesia Putra, Bagja Rahma; Lestari, Fitrina; Kharisma
CAKRAWALA : Management Science Journal Vol. 2 No. 3 (2025): Cakrawala: Management Science Journal - September
Publisher : Yayasan Edukasi Cakrawala Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63541/8ehdka53

Abstract

This study investigates how market capitalization, price volatility, and behavioral biases affect decisions to buy cryptocurrencies. Because of its decentralized structure and extreme volatility, the cryptocurrency market frequently affects investment choices through psychological elements, including loss aversion, overconfidence, and herd mentality. This study uses a quantitative methodology to analyze data from the nine most traded cryptocurrencies using independent t-tests, multiple linear regression, and simple linear regression. According to the study's findings, decisions to buy cryptocurrencies are significantly positively influenced by herd behavior and overconfidence, as shown by high volatility, but not significantly by loss aversion. Furthermore, it has been demonstrated that price volatility significantly affects herd behavior, meaning that investors are influenced to follow the majority lead when prices fluctuate significantly. However, the degree of herd behavior is not affected by market capitalization, suggesting that psychological elements like herd behavior are more impacted by general market conditions than by market capitalization size. These results highlight how crucial it is to comprehend the psychological aspects of cryptocurrency market decision-making, since doing so can offer a better understanding of investor behavior and the workings of this extremely unpredictable market.
Analysis of Challenges and Opportunities in Strengthening Village Development Innovation for Village Community Welfare Kharisma
Journal of Islamic Economic and Business Studies Vol. 2 No. 1 (2024): June
Publisher : Business Finance Analyst Co.

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Abstract

Self-reliance of a community group in the contemporary context is often associated with village development. The collective attitude of the community towards social change plays an important role in achieving self-reliance. Intervention programs created by the government can help change community behavior towards self-reliance. These programs require active participation from the community. Qualitative research shows that the government is implementing and improving strategies to provide good services to rural communities in Indonesia. The focus of development is always on village communities, as they have the potential to positively impact every village in Indonesia. As the community is the best partner in the development process, the government works together with them, especially the village community, to achieve common goals.
Analysis of Challenges and Opportunities in Strengthening Village Development Innovation for Village Community Welfare Kharisma
Journal of Community Service and Rural Development Vol. 1 No. 2 (2024): Juni
Publisher : Business Finence Analyst Co.,

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Abstract

Self-reliance of a community group in the contemporary context is often associated with village development. The collective attitude of the community towards social change plays an important role in achieving self-reliance. Intervention programs created by the government can help change community behavior towards self-reliance. These programs require active participation from the community. Qualitative research shows that the government is implementing and improving strategies to provide good services to rural communities in Indonesia. The focus of development is always on village communities, as they have the potential to positively impact every village in Indonesia. As the community is the best partner in the development process, the government works together with them, especially the village community, to achieve common goals.
Hubungan Kesiapsiagaan Dalam Menghadapi Bencana Banjir Dengan Tingkat Kecemasan Masyarakat Di Daerah Rawan Banjir di Kota Langsa Kharisma; Ajmain; Husaini
Public Health Journal Vol. 1 No. 3 (2024): Desember
Publisher : Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/k454g360

Abstract

Menurut Centre for Research on the Epidemiology of Disasters (CRED) mengatakan bahwa setidaknya ada 22.000 kejadian atau peristiwa bencana yang terjadi diberbagai belahan dunia secara massal. Kesiapsiagaan bencana merupakan serangkaian kegiatan yang bertujuan untuk mengantisipasi terjadinya bencana dan memiliki pengaruh kepada tindakan masyarakat ketika terjadi bencana, kesiapsiagaan ini juga dapat mengurangi resiko kejadian bencana pada masyarakat salah satunya dampak psikologis seperti kecemasan. Penelitian ini di lakukan untuk mengetahui hubungan kesiapsiagaan dalam menghadapi bencana banjir dengan tingkat kecemasan masyarakat di Gampong Sidorejo Kecamatan Langsa Lama. Jenis penelitian ini menggunakan jenis analytic dengan rancangan cross sectional. Populasi dalam penelitian ini adalah seluruh kepala keluarga di Gampong Sidorejo Kecamatan Langsa Lama, jumlah sampel sebanyak 91 responden dengan teknik sampel secara Proportional Stratified Random Sampling. Analisa data dilakukan dengan menggunakan analisis univariat dan bivariat menggunakan uji chi-square. Hasil penelitian menunjukkan bahwa dari 91 responden sebagian besar mengalami kecemasan sedang sebanyak 48 responden (52,7%) dan sebagian kecil mengalami kecemasan berat sebanyak 8 responden (8,8%). Sebagian besar tidak siapsiaga dalam menghadapi bencana banjir sebanyak 48 responden (52,7%). Ada hubungan kesiapsiagaan menghadapi bencana banjir dengan tingkat kecemasan masyarakat dengan p-value 0,000 (p<0,05). Bagi masyarakat, diharapkan untuk dapat mengurangi kecemasan saat bencana, untuk itu diperlukan upaya peningkatan kesiapsiagaan masyarakat misalnya melalui penyuluhan kebencaan sehingga terbentuk masyarakat yang tanggap bencana.
Pengaruh Model Quantum Learning Berbantuan Nearpod Terhadap Kemampuan Long Term Memory Siswa Pada Materi Genetika di MAN Lumajang Kharisma; Heni Setyawati
Jurnal Biologi dan Pembelajarannya (JB&P) Vol 12 No 2 (2025): OKTOBER 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jbp.v12i2.27080

Abstract

Hasil observasi pra-penelitian menunjukkan bahwa siswa XII MIPA MAN Lumajang memiliki kemampuan mengingat materi tergolong lemah yang ditandai dengan sebagian besar siswa tidak mampu menjawab ketika diberikan pertanyaan oleh guru pada saat kegiatan recalling memory terkait materi yang dipelajari sebelumnya. Hal ini dikarenakan media pembelajarannya hanya berdasarkan buku paket dan model pembelajaran yang sering diterapkan adalah model konvensional. Sedangkan dalam mempelajari materi genetika dibutuhkan daya ingat yang kuat karena karakteristik materi yang abstrak, banyak ditemukan istilah-istilah asing dan memiliki tingkat kerumitan materi yang cukup kompleks. Dengan demikian, model Quantum Learning berbantuan media nearpod sangat penting untuk diterapkan.Tujuan penelitian yaitu mengetahui signifikansi pengaruh model Quantum Learning berbantuan nearpod pada kemampuan daya ingat jangka panjang siswa XII MIPA MAN Lumajang. Penelitian ini menggunakan metode kuantitatif berupa pendekatan nonequivalent pretest-posttest control group design dari jenis quasi eksperimen. Sampel penelitian kelompok kontrol 26 siswa (XII MIPA E) dan kelompok eksperimen 27 siswa (XII MIPA F). Uji Mann Whitney U-Test sebagai teknik analisis data. Hasil penelitian kemampuan long term memory kelompok kontrol diperoleh 48,85 mean prestest dengan 51,31 untuk mean posttest lebih rendah dari kelompok eksperimen yaitu diperoleh hasil 75,34 mean posttest dan mean prestest sebesar 49,52. Hasil uji Mann Whitney U-Test dari hasil posttest soal daya ingat diperoleh nilai Sig. 0.000 < 0.05 atau terdapat pengaruh yang signifikan model Quantum Learning berbantuan media nearpod terhadap kemampuan daya ingat jangka panjang siswa pada materi genetika kelas XII MIPA MAN Lumajang.
Co-Authors Ahmad Hanafi Ahmad Hanafi Ajmain Alfirna Rizqi Lahitani Alfun Roehatul Jannah Aris Wahyu Murdiyanto Arumsari, Dewi Ayunita, Elia Batjo, Athanaya Citra Savitri Elvika Fit Ari Shanti, Elvika Fit Ari Endah Puji Astuti, Endah Puji Fitrina Lestari Husaini Irmma Dwijayanti Kusumaningtyas, Kartikadyota Lisa Solikhatin Sumantri Muhammad Erwan Syah Muhammad Habibi Muhammad Syairazi Nanik Lestariningsih Nguyen, Nga Thi Thu Nopiyanti, Nopa Nufia Alfi Rohyana Purnamaningsih, Nur’Aini Purwanto, Sigid Edy Putra, Bagja Rahma Risky Amelia Rizki Wahyuning Damayanti Rukmi, Dwi Kartika Setyawati, Heni Siti Dila Nuratih SITI FATIMAH Sunarsih Suwarno Syifa Pramudita Faddila Tran, Thu-Giang Tri Sunarsih Tri, Elvika Fit Ari Shanti Ulfi Saidata Aesyi Wardianti, Yunita Yulinda, Dwi