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All Journal INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Informatika Polinema (JIP) Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian International Journal of Computer Technology and Science Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial
Hafiz Nugraha
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Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Transportation Other

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Pengaruh Budaya Belajar Terhadap Hasil Belajar Ketrampilan Komputer Dan Pengelolaan Informasi Siswa Sekolah Menengah Kejuruan Muhammadiyah 1 Padang Hafiz Nugraha; Ambiyar Ambiyar
invotek Vol 18 No 2 (2018): INVOTEK: Jurnal Inovasi, Vokasional, dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (229.034 KB) | DOI: 10.24036/invotek.v18i2.295

Abstract

Penelitian ini bertujuan untuk menghitung tingkat capaian (1) budaya belajar siswa dikelas, (2) hasil belajar KPPI siswa setelah mengikuti pembelajaran, dan (3) Pengaruh budaya belajarbelajar terhadap hasil belajar KPPI siswa SMK Muhammadiyah I Padang. Metode penelitian yangdigunakan deskriptif kuantitatif, populasi sebanyak 351 orang peserta didik, sampel dipilih sebanyak160 orang dengan teknik proporsional random sampling. Data dikumpulkan dengan angket dandokumentasi. Analisis data menggunakan teknik deskriptif dan inferesial. Penelitian ini menemukan(1) budaya belajar siswa SMK Muhammadiyah I Padang berada dalam kategori baik, (2) hasil belajarKPPI SMK Muhammadiyah I Padang termasuk kategori cukup baik, dan (3) terdapat pengaruhpositif yang signifikan antara budaya belajar terhadap hasil belajar KPPI siswa SMKMuhammadiyah I Padang sebesar 8,8 %.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI E-KLINIK BASMALLAH PADA MASA PANDEMI COVID-19 Saleh Yaakub; Hafiz Nugraha; Ilham Pahlevi; Dimas Syaputra
Jurnal Informatika Polinema Vol. 8 No. 2 (2022): Vol 8 No 2 (2022)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v8i2.875

Abstract

Proses bisnis merupakan salah satu jenis kegiatan yang ada pada instansi yang dikelola dan dijalankan untuk mencapai satu tujuan tertentu. Salah satu permasalahan dalam manajemen suatu instansi adalah tidak adanya Sistem Informasi yang mendukung proses manajemen dalam pelayanan. Kota Jambi merupakan daerah yang terdiri dari perdagangan dan Jasa, seperti dibidang Pendidikan, bidang kesehatan, bidang pertanian dan bidang UMKM yang menyebar dan berjalan hingga saat ini. Perdagangan dan jasa tersebut untuk saat ini mayoritas proses bisnisnya masi dikerjakan oleh masyarakat secara manual, baik dalam hal tatakelola maupun dalam hal pelayanan terhadap pemangku kepentingan. Kondisi ini tentu di nilai kurang efektif, dimana pengerjaan sangat bergantung dengan manusia. Salah satu permasalahan dalam manajemen suatu lembaga dalam hal ini adalah Klinik Basmalah Kota Jambi yaitu tidak adanya sistem informasi yang mendukung proses bisnis manajemen dalam hal pelayanan. pada dasarnya pekerja di klinik melakukan pelayanan berdasarkan rutinitas jadwal yang telah ditentukan, tanpa memperhatikan kondisi dilapangan seperti cuaca yang tidak menentu, adanya pasien di luar jam kerja dan tingkat kebutuhan masyarakat dari luar daerah atau wilayah. Permasalahan ini dapat disimpulkan bahwa Klinik Basmalah tidak dapat menjalankan pelayanan dengan maksimal. Akibatnya terkadang masyarakat mengalami kendala untuk menjangkau Klinik baik dalam hal informasi maupun dalam hal proses pelayanan secara langsung. Dari permasalahan tersebut salah satu tujuan penelitian ini adalah bagaimana menganalisis dan merancang sistem informasi E-Klink Basmalah dengan menggunakan web, sehingga Klinik Basmalah dapat di akses dan berkomunikasi dengan masyarakat dan pemangku kepentingan dengan memanfaatkan media Internet sebagai jalur utama. Dengan sistem ini diharapkan dapat membantu manajemen klinik basmalah secara akurat dalam hal proses pelayanan. Sistem Informasi ini dirancang dapat bekerja selama 24 jam, sehingga pekerja tidak perlu lagi memantau dan stanbay melainkan pelayanan dapat di monitoring secara terstruktur. Dalam penelitian akan diterapkan metode ekstraksi ciri berbasis statistis, yaitu pencarian fitur ciri proses bisnis berdasarkan pelayanan yang ada dan akan disesuaikan dengan proses transaksi dan informasi di setiap masing-masiang unit, berdasarkan metode statistis proses pada sistem sangat ditentukan oleh layanan yang ada pada klinik basmalah, seperti layanan BPJS, layanan jadwal dokter dan layanan pendaftaran pasien.
Pelatihan Pembuatan UML (Unified Modelling Language) Menggunakan Aplikasi Draw.io Pada Prodi Sistem Informasi Universitas Muhammadiyah Jambi Noneng Marthiawati; Kevin Kurniawansyah; Hafiz Nugraha; Fiqa Khairunnisa
Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Vol. 1 No. 2 (2024): April: Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/transformasi.v1i2.109

Abstract

Software Modeling is a scientific discipline for studying forms of software modeling that are used as part of the software development stages in a structured and object-oriented manner. This software engineering modeling is presented in Requirements Analysis and described using the Unified Modeling Language (UML) method. UML (Unified Modeling Language) is a visual modeling method used as a means of designing object-oriented systems. UML diagrams that are often used are Use Case Diagrams, Activity Diagrams, Sequence Diagrams, Class Diagrams, Statemachine Diagrams and Component Diagrams. There are several applications that support UML creation, one of which is Draw.io. Draw.io is a website specifically designed for depicting UML diagrams online. It has a very responsive display and is integrated with Google's file storage service, namely Google Drive, so draw.io is an alternative for creating UML diagrams in a shorter time. On this basis, in the Community Service (PkM) program activities on this occasion, UML creation activities were carried out using the draw.io application and assistance in using UML in analyzing needs is one of the right solutions for solving problems in order to expand knowledge, simplify and improve the quality of education. and will overcome problems, time and socio-economic
Pelatihan Pengelolaan Database Menggunakan XAMPP Untuk Meningkatkan Keterampilan Mahasiswa di Universitas Muhammadiyah Jambi Kevin Kurniawansyah; Noneng Marthiawati; Hetty Rohayani; Hafiz Nugraha
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 2 No. 2 (2025): Mei : Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v2i2.1444

Abstract

This community service activity aimed to enhance students' technical skills in database management using XAMPP, an open-source platform that integrates Apache, MySQL, PHP, and phpMyAdmin. The program was implemented through a hands-on training approach based on experiential learning, allowing participants to practice installation, configuration, and database management independently. The results showed a significant improvement in students' understanding of database concepts and their ability to operate XAMPP effectively. Beyond technical competencies, the program also fostered behavioral changes, increased technological awareness, and the emergence of local leaders among the participants. This initiative is expected to contribute to the development of a more adaptive and collaborative learning culture in response to advancements in information technology.
Design of the Moilme Application for Intelligent Job Recommendations Based on AI and GPS Laura Monica; Noneng Marthiawati; Kevin Kurniawansyah; Hetty Rohayani; Hafiz Nugraha
International Journal of Computer Technology and Science Vol. 3 No. 3 (2026): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v3i3.395

Abstract

The increasing tax burden each year poses a significant challenge, particularly for people with limited education and job seekers who struggle to find suitable employment, as most job openings prioritize bachelor's degree holders with work experience, while even graduates often face difficulties since companies typically require prior experience as a primary qualification; as a result, many graduates choose to start their own businesses, which in turn require employees to support their operations. This condition highlights the need for an intelligent solution that connects job seekers—including graduates and those without work experience—with vacancies matching their qualifications. To address this issue, this study designs the Moilme application, which integrates AI-based job matching through Google's Talent Solution API and GPS technology to generate intelligent job recommendations based on job seekers' qualifications while also displaying nearby job locations, with the Black Box method applied to simplify the development process and improve system performance in delivering relevant recommendations. The results show that the designed application successfully provides intelligent job recommendations matching users' qualifications and displays nearby job locations, thereby helping accelerate the job search process for job seekers as well as recruitment for companies and SMEs. The novelty of this research lies in combining AI-based qualification matching with GPS-based location intelligence within a single application, offering smarter and more personalized job suggestions. It is concluded that Moilme has the potential to expand job opportunities for those in need of work while helping companies and SMEs find suitable employees quickly and efficiently.
Co-Authors Ambiyar, Ambiyar Dimas Syaputra Fiqa Khairunnisa Hetty Rohayani Ilham Pahlevi Kevin Kurniawansyah Laura Monica Noneng Marthiawati Yaakub, Saleh