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All Journal Caring : Jurnal Pengabdian Masyarakat Jurnal Ekonomi dan Bisnis Digital (MINISTAL) Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan
Alfareza, Muhammad
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Health Professions Nursing Public Health

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How Workplace Compassion, Social Support, and Altruism in Predicting Retention among Employees in the Highly Competitive Businesses Fajri, Dzakwan Sabil Al; Alfareza, Muhammad; Satrio, Rio; Siddiq, Dedi Muhammad; Mamat, Mazlina
Jurnal Ekonomi dan Bisnis Digital Vol. 3 No. 3 (2024): August 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ministal.v3i3.11042

Abstract

Employee retention plays a very important role for companies because the decreasing number of employees who want to leave a job may have a good impact on the companies to achieve their organizational goals. The purpose of this study is to investigate the link between workplace compassion, social support, and altruism on employee retention in the context of highly competitive business sector. The respondents in this research include employees in competitive companies with a total of 250 respondents. The data were collected using paper-based questionnaires. Drawing on multiple linear regression analysis, validity testing, reliability testing and hypothesis testing (T Test), this research found that workplace compassion, social support, and altruism predict employee retention. This reseacrh provides strategic insight for companies in improving compassion, social support, and altruism to strengthen overall employees’ sense of home.
High Protein Complementary Feeding Education with Cooking Demonstration for Stunting Prevention Among Pregnant Women in Gunungtugel Village, Wonosobo Wibowo, Shaviera; Nurhidayati, Siti; Ratriyanto, Adi; Shauma, Clara; Mawarni, Dini; Ramadha, Intan; Dydanti, Kanaya; Prasetyo, Medina; Ar Roffi, Muhammad; Alfareza, Muhammad; Siota, Rizky; Saputri, Shava
Caring: Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2025): CARING Jurnal Pengabdian Masyarakat (Desember 2025)
Publisher : Department of Nursing, Faculty of Health Sciences, Universitas Brawijaya.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.caringjpm.2025.005.03.5

Abstract

Stunting remains a major public health problem in Indonesia, primarily associated with not optimal feeding practices during the first 1,000 days of life. One important preventive effort is preparing mothers during pregnancy to make sure they have adequate knowledge and skills to prepare nutritious complementary feeding that provides sufficient protein to support child growth. This community service aim to provide education on high protein complementary feeding combined with cooking demonstrations as a strategy for stunting prevention in Gunungtugel Village, Wonosobo, Indonesia. The intervention was implemented through a pregnant women class consisting of education sessions using leaflet based materials that addressed the principles of complementary feeding, the importance of adequate protein intake, identification of locally available protein sources, age appropriate food texture, and hygienic food preparation practices, followed by a cooking demonstration of high protein complementary feeding. Data collection was carried out through pre and post interviews, participatory observation, and field documentation. The results indicated an improvement in mother’s understanding of high-protein complementary feeding, their ability to identify appropriate protein sources, and increased confidence in preparing complementary foods independently. Participants also demonstrated a better understanding of the role of protein in supporting child growth and preventing stunting. These findings suggest that high protein complementary feeding education combined with cooking demonstrations for pregnant women can be an effective community empowerment approach to improve maternal in implementing appropriate complementary feeding practices and supporting stunting prevention efforts.
SISTEM PAKAR KERUSAKAN HARDWARE KOMPUTER DENGAN METODE FORWARD CHAINING PADA ELEVEN KOMPUTER Alfareza, Muhammad; Kurniawansyah, Kevin; Akbar, Zulfikri
Jurnal Informatika, Sistem Informasi dan Kehutanan (FORSINTA) Vol. 3 No. 2 (2024): Jurnal Informatika, Sistem Informasi dan Kehutanan (Forsinta)
Publisher : LPPM Universitas Muhammadiyah Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53978/jfsa.v3i2.502

Abstract

Komputer adalah produk teknologi modern yang membantu manusia untuk melakukan pekerjaan lebih mudah dan lebih cepat, setiap alat dan komponen yang ada di komputer mempunyai tingkat kepentingan tersendiri, serta dapat mengalami kegagalan dalam menjalankan fungsinya. Saat ini di Eleven Komputer pada divisi servis permasalahan yang terjadi ketika pelanggan datang ketoko yang dilakukan pertama kali oleh pihak Eleven Komputer adalah kasir mengecek kondisi komputer dengan cara menelpon teknisi kendala apa yang terjadi pada komputer tersebut, yang mengakibatkan jadi lamanya proses diagnosa kerusakan komputer. Oleh karena itu sistem pakar ini dibuat untuk membantu kasir dalam melakukan diagnosa awal terhadap suatu kerusakan hardware komputer yang dialami beserta solusi nya . Proses pembangunan sistem pakar ini menggunakan metode pengetahuan dengan teknik pengumpulan data yang digunakan yaitu wawancara dan observasi . Sedangkan metode inferensi yang digunakan dalam pembangunan sistem pakar ini menggunakan metode forward chaining. Aplikasi yang digunakan dalam pembangunan sistem pakar ini menggunakan bahasa pemrograman PHP (Hypertext Pre-Processor) dan MySQL sebagai databasenya. Hasil dari penelitian ini adalah menerapkan algoritma forward chaining dalam menentukan kerusakan komputer dengan cepat.
Co-Authors Adi Ratriyanto Akbar, Zulfikri Ar Roffi, Muhammad Dedi Muhammad Siddiq Dydanti, Kanaya Fajri, Dzakwan Sabil Al Kurniawansyah, Kevin Mamat, Mazlina Mawarni, Dini Prasetyo, Medina Ramadha, Intan Saputri, Shava Satrio, Rio Shauma, Clara Siota, Rizky Siti Nurhidayati Wibowo, Shaviera