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All Journal Jurnal Sosial Ekonomi Pertanian Gadjah Mada International Journal of Business JISKa (Jurnal Informatika Sunan Kalijaga) GALENICAL : Jurnal Kedokteran dan Kesehatan Mahasiswa Malikussaleh
Daniyal, Muhammad
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Immunology & microbiology Library & Information Science Public Health Social Sciences Veterinary

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Pengaruh Sosialisasi dan Simulasi terhadap Kesiapsiagaan dalam Menghadapi Bencana Alam Gempa Bumi pada Masyarakat Desa Keurisi Meunasah Lueng Jangka Buya Pidie Jaya Daniyal, Muhammad; Sawitri, Harvina; Utariningsih, Wheny; Fitriany, Julia
GALENICAL : Jurnal Kedokteran dan Kesehatan Mahasiswa Malikussaleh Vol 2, No 5 (2023): GALENICAL : Jurnal Kedokteran dan Kesehatan Mahasiswa Malikussaleh - Oktober 202
Publisher : Program Studi Kedokteran Fakultas Kedokteran Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jkkmm.v2i5.11077

Abstract

Indonesia adalah negara maritim yang terletak pada titik temu 3 lempeng utama bumi yaitu Lempeng Pasifik, Lempeng Eurasia, Lempeng Samudra Hindia-Australia yang mengakibatkan Indonesia mengalami banyak kejadian bencana alam seperti gempa bumi. BPS menyebutkan di Indonesia terjadi sebanyak 10.570 kali gempa pada tahun 2021. Pidie Jaya merupakan salah satu kota di Indonesia yang berada di provinsi Aceh yang menjadi daerah rawan bencana gempa bumi karena letak geologinya pada sesar Samalanga Sipopok. Pada 7 Desember 2016 gempa  dengan kekuatan besar yaitu  6,5 Mw terjadi di Pidie Jaya yang mengakibatkan 1.079 korban jiwa dengan 104 orang meninggal dan kerugian mencapai 1,854 triliun. Dalam hal ini sosialisasi dan simulasi dapat menjadi faktor penting yang bertujuan untuk meningkatkan kesiapsiagaan bencana. Tujuan Penelitian Mengetahui pengaruh sosialisasi dan simulasi terhadap kesiapsiagaan dalam menghadapi bencana alam gempa bumi pada masyarakat desa Keurisi Meunasah Lueng, Jangka Buya, Pidie Jaya. Metode Metode Penelitian ini merupakan eksperimental jenis quasi-eksperimental dengan responden berjumlah 72 orang yang diambil dengan menggunakan purposive sampling. Hasil Penelitian menunjukan bahwa sebelum sosialisasi dan simulasi mayoritas masyarakat berada dikategori sedang (62,5%) sedangkan setelah penyuluhan, mayoritas masyarakat berada dikategori tinggi (86,1%). Data analisis menggunakan uji statistik t-dependent. Hasil analisis statistik menunjukan nilai p = 0,001. Kesimpulan Terdapat pengaruh signifikan sosialisasi dan simulasi terhadap kesiapsiagaan dalam menghadapi bencana alam gempa bumi pada masyarakat Desa Keurisi Meunasah Lueng, Jangka Buya, Pidie Jaya.
Dampak Fluktuasi Harga Beras, Bawang Merah, Cabai Terhadap Inflasi Dwi Lestari, Amanda; Erlikasna, Elfira; C. Simbolon, Ridho; Breta, Irena; Daniyal, Muhammad
Jurnal Sosial Ekonomi Pertanian Vol 20 No 2 (2024): Juni, 2024
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jsep.v20i2.35057

Abstract

Rice, shallots, chilies are one of the main food commodities. The increase in commodity prices could cause an increase in inflation in West Java Province. The aim of the research is to identify the influence of commodity price fluctuations for rice, shallots and chilies on inflation in West Java Province. The data used is secondary monthly time series data from 2019 to 2013 sourced from BPS. The analysis and calculations used by researchers are Vector Autoregression (VAR) analysis. The results show that commodity price movements of rice and chilies have a positive effect on inflation and are statistically significant and shallots are a commodity that makes a significant contribution to inflation. The price of shallots has a significant impact in the short term on the inflation rate in West Java Province. To maintain price stability, the government needs to set a benchmark price for shallots in the market to avoid unreasonable price spikes and carry out market operations by selling onions directly to consumers at lower prices to stabilize prices in the market.
Factors Affecting Early Retirement Intentions With the Mediating Mechanism of Job Engagement Khan, Asfand Yar; Bilal, Dr. Atif; Daud, Nadia; Daniyal, Muhammad; Ahmed, Bilal; Ishaq, Atiq
Gadjah Mada International Journal of Business Vol 26, No 1 (2024): January - April
Publisher : Master in Management, Faculty of Economics and Business, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/gamaijb.72284

Abstract

The main objective of this study is to empirically examine the associations between work goals (intrinsic and extrinsic) and early retirement intentions, with the mediating mechanism of work passion and the moderating role of flexible HR practices, spouse’s health, and position level (employees’ position level in organizations, e.g., junior manager at lower level, deputy manager at middle level, or senior manager at upper level etc.). Data for the study was collected through survey-based questionnaires distributed to a sample of 350 female employees from different public and private sector organizations in Pakistan. Testing of the hypotheses was conducted using structural equation modeling (SEM) with WarpPLS software. The findings indicate that employees’ work goals are  positively related to the level of passion they feel about their work. However, this has a negative impact on their early retirement intentions. Besides, the results show that this work passion mediates the relationship between work goals and early retirement intentions. Furthermore, flexible HR practices, position level, and spouse’s health moderate the relationship between work passion and early retirement intentions. The study’s theoretical and managerial contributions and limitations are also discussed at the end of the article.
Analisis dan Optimalisasi Performa Algoritma Gaussian Naive Bayes pada Prediksi Metabolic Syndrome Menggunakan SMOTE Fauziyah, Nadiyah Jihan; Rahmania, Fadilla; Daniyal, Muhammad; Sari, Nur Fitriyah Ayu Tunjung
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 9 No. 2 (2024): Mei 2024
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2024.9.2.112-122

Abstract

Metabolic syndrome is a complex global health problem, with symptoms such as abdominal obesity, insulin resistance, high blood pressure, high blood sugar, and abnormal blood lipids. With this global challenge, several studies have attempted to predict these diseases using machine learning methods. However, often, predictions about a disease result in data imbalance where minority classes are underrepresented. To balance the class proportions, the Synthetic Minority Over-sampling Technique (SMOTE) method replicates the minority class samples. In this research, the technique applied to predict is the Gaussian Naive Bayes (GNB) algorithm. The results show an increase in prediction accuracy by 0.2 from 0.81 to 0.83. This study confirms the critical role of the SMOTE oversampling method in machine learning using the Gaussian Naive Bayes (GNB) algorithm in Metabolic Syndrome prediction and its positive impact on diagnostic efficiency and public health.
Co-Authors Ahmed, Bilal Bilal, Dr. Atif Breta, Irena C. Simbolon, Ridho Daud, Nadia Dwi Lestari, Amanda Erlikasna, Elfira Fauziyah, Nadiyah Jihan Ishaq, Atiq Julia Fitriany, Julia Khan, Asfand Yar Rahmania, Fadilla Sari, Nur Fitriyah Ayu Tunjung Sawitri, Harvina Utariningsih, Wheny