Article Per Year (5 Year)
p-Index From 2021 - 2026
1.325
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama JOURNAL OF SCIENCE AND SOCIAL RESEARCH SINTA Journal (Science, Technology, and Agricultural) MAHESA : Malahayati Health Student Journal Jurnal Dehasen Untuk Negeri Jurnal Dehasen Mengabdi RJOCS (Riau Journal of Computer Science)
Asyhari, Ahmad
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Nursing Physics Public Health Social Sciences Veterinary Other

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
PENERAPAN METODE PROFILE MATCHING DALAM PENEMPATAN PRAKTIK KERJA INDUSTRI BAGI SISWA (STUDI KASUS DI SMKN 4 KOTA BENGKULU) Asyhari, Ahmad; Gunadi Widi Nurcahyo; Yuyu, Yuhandri
RJOCS (Riau Journal of Computer Science) Vol. 9 No. 2 (2023): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v9i2.1779

Abstract

Penempatan Praktik Kerja Industri (PRAKERIN) merupakan bagian penting dalam sistem pendidikan vokasi di Indonesia. Namun, seringkali siswa mengalami kesulitan dalam menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka. Oleh karena itu, penelitian ini bertujuan untuk menerapkan metode Profile Matching dalam penempatan PRAKERIN bagi siswa SMKN 4 Kota Bengkulu. Metode Profile Matching digunakan untuk menghubungkan profil siswa dengan profil perusahaan atau tempat PRAKERIN. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei dan wawancara terstruktur kepada siswa dan pihak perusahaan atau tempat PRAKERIN yang bekerjasama dengan SMKN 4 Kota Bengkulu. Hasil penelitian menunjukkan bahwa metode Profile Matching efektif dalam membantu siswa menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka. Dalam penelitian ini, ditemukan bahwa 80% siswa mendapatkan tempat PRAKERIN yang sesuai dengan profil mereka. Selain itu, metode Profile Matching juga membantu perusahaan atau tempat PRAKERIN dalam memilih siswa yang sesuai dengan kebutuhan mereka. Penelitian ini memberikan manfaat praktis bagi siswa, sekolah, dan perusahaan atau tempat PRAKERIN. Siswa dapat menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka, sehingga mereka dapat memperoleh pengalaman yang lebih baik selama PRAKERIN. Sekolah dapat memperoleh informasi tentang profil siswa dan perusahaan atau tempat PRAKERIN, sehingga dapat meningkatkan kualitas penempatan PRAKERIN di masa depan. Perusahaan atau tempat PRAKERIN dapat memperoleh siswa yang sesuai dengan kebutuhan mereka, sehingga dapat meningkatkan kualitas PRAKERIN yang mereka berikan. Kata Kunci: Profile Matching, Penempatan PRAKERIN, Siswa, SMKN 4 Kota Bengkulu, Survei, Wawancara terstruktur.
Pemanfaatan Kecerdasan Buatan Dalam Era Digitalisasi Untuk Mendukung Kompetensi Siswa Mona, Prahasti; Kalsum, Toibah Umi; Sallaby, Achmad Fikri; Asyhari, Ahmad; Dewantara, Dewantara
Jurnal Dehasen Untuk Negeri Vol 3 No 2 (2024): Juli
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdun.v3i2.6449

Abstract

Increasing the competency of Vocational High School students must continue to be improved through various strategies as an effort to prepare themselves to be able to compete in the world of work and industry. The aim of implementing this Community Service is to introduce the development of information technology through artificial intelligence in the era of digitalization in an effort to support student competence. The use of artificial intelligence through activities to introduce various artificial intelligence software or technologies is carried out through face-to-face methods which are carried out at SMKN 3 Bengkulu City. The strategy in community service activities is implemented through presentations and presentations involving resource persons by lecturers with assistance provided by students. Furthermore, in addition to presenting the material in the form of a presentation, an interactive dialogue was held with the participants regarding the material presented. Based on the results of implementing Community Service (PKM) activities, it can be concluded that students understand the use of artificial intelligence in supporting student competencies. Furthermore, during the implementation there was interactive interaction through questions from students regarding the development of artificial intelligence technology. This also shows that artificial intelligence in the digitalization era can support the competence of vocational high school students.
Application of the API-Based Gemini AI Model in Predicting Harvest Accuracy and Distribution of Horticultural Result Asyhari, Ahmad; Azhari, Diah; Arif, Hilda Meisya; Nizar, Fahrul Ikhram
SINTA Journal (Science, Technology, and Agricultural) Vol. 6 No. 1 (2025)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/sinta.6.1.31-36

Abstract

This study explores the integration of the Gemini AI model as an expert system to enhance the accuracy of harvest predictions and the distribution of horticultural products. The main contribution of this research lies in the application of the cutting-edge Gemini AI, which processes real-time environmental data—such as weather conditions, soil moisture, and market demand trends—to generate more accurate harvest time predictions and automated product quality evaluations. Implementation results show a 22% improvement in harvest prediction accuracy compared to conventional methods, an 18% increase in operational efficiency in distribution, and a 15% reduction in post-harvest waste. These findings suggest that AI-based expert systems offer adaptive solutions to the challenges of horticultural crop management and represent a significant innovation in modern agricultural practices.
PENGEMBANGAN ALAT UNGKAP MASALAH BERBASIS WEB UNTUK MENDUKUNG LAYANAN KONSELING Felino, Ferdianto; Khairil, Khairil; Asyhari, Ahmad
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5759

Abstract

Abstract: The development of information technology enables counseling services to be conducted online. One of the challenges in counseling is the manual process of completing and analyzing the Problem Disclosure Tool (AUM), which is time-consuming and prone to error. This study aims to develop a web-based AUM system that improves efficiency for both counselors and clients. The system was developed using the Waterfall Model, consisting of requirement analysis, system design, implementation, testing, and maintenance stages. PHP programming language with the CodeIgniter 4 framework and MySQL database were utilized. The results indicate that the system can automatically process AUM results, generate digital reports, and provide online counseling scheduling features. Black box testing confirmed that all key functions performed correctly. This web-based application is expected to enhance efficiency and accuracy in digital counseling services. Keywords: problem disclosure tool, counseling service, web-based system, CodeIgniter, waterfall Abstrak: Perkembangan teknologi informasi memungkinkan proses konseling dilaksanakan secara daring. Salah satu kendala dalam layanan konseling adalah proses pengisian dan pengolahan instrumen asesmen seperti Alat Ungkap Masalah (AUM) yang masih dilakukan secara manual dan memakan waktu lama. Penelitian ini bertujuan untuk mengembangkan sistem AUM berbasis web yang dapat digunakan oleh konselor dan konseli secara efisien. Metode pengembangan yang digunakan adalah Waterfall Model, meliputi tahap analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan menggunakan bahasa pemrograman PHP dengan framework CodeIgniter 4 dan basis data MySQL. Hasil penelitian menunjukkan bahwa sistem mampu memproses hasil AUM secara otomatis, menampilkan laporan dalam bentuk digital, serta menyediakan fitur penjadwalan konseling secara daring. Pengujian menggunakan black box testing menunjukkan seluruh fungsi utama berjalan sesuai harapan. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi dan akurasi dalam layanan konseling berbasis teknologi. Kata kunci: alat ungkap masalah, layanan konseling, sistem berbasis web, CodeIgniter, waterfall
Pemanfaatan Teknologi Kecerdasan Buatan Dalam Meningkatkan Prestasi Akademik Siswa Sekolah Menengah Atas Di SMA Negeri 9 Bengkulu Asyhari, Ahmad; Alinse, Rizka Tri; Nizar, Fahrul Ikram; Pransiska, Yance; Firdaus, Muhamad Bitang
Jurnal Dehasen Mengabdi Vol 3 No 2 (2024): September-Februari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdm.v3i2.11080

Abstract

The development of information and communication technology has significantly influenced the education sector, particularly through the utilization of Artificial Intelligence (AI). This technology has great potential to improve the quality of learning and students' academic performance. This community service activity aims to increase students' understanding of the basic concepts of artificial intelligence and its application in supporting the learning process at SMA Negeri 9 Bengkulu. The implementation method used lectures, presentations, and discussion sessions with participants. The activity stages included an initial stage consisting of introductions and explanation of activity objectives, a core stage involving the presentation of materials related to artificial intelligence technology, and a final stage consisting of discussions and question-and-answer sessions. The results indicate that students gained better understanding of the development of artificial intelligence technology and its benefits in supporting academic activities. Furthermore, this activity increased students’ awareness of the importance of using technology positively in the learning process in the digital era.
Perancangan Dan Implementasi Sistem Keamanan Jaringan Menggunakan Alienvault Pada SMK N 4 Kota Bengkulu Lestari, Gita Dahlia; Jumadi, Juju; Asyhari, Ahmad
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.10958

Abstract

This study aims to design and implement a network security system using AlienVault OSSIM at SMK N 4 Kota Bengkulu. The method used in this research is the Network Development Life Cycle (NDLC), which consists of analysis, design, simulation, implementation, monitoring, and management stages. AlienVault is implemented as a standalone operating system running on a virtual machine using VMware and is utilized to perform centralized network monitoring, threat detection, and security management. System testing is conducted using the black box method by simulating attacks such as port scanning and ping flooding. The test results show that AlienVault is capable of detecting network activities, identifying connected devices, and providing alerts for suspicious activities. With the implementation of this system, network security at SMK N 4 Kota Bengkulu becomes more controlled, secure, and supportive of teaching and learning activities.
Transformasi Buku Kia Digital Berbasis AI Untuk Meningkatkan Pemantauan Kesehatan Ibu Hamil dan Edukasi Kesehatan Pada Bidan Praktik Mandiri Kota Bengkulu Selvianti, Dita; Herlinda, Herlinda; Nizar, Fahrul Ikram; Asyhari, Ahmad
MAHESA : Malahayati Health Student Journal Vol 6, No 6 (2026): Volume 6 Nomor 6 (2026)
Publisher : Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mahesa.v6i6.26077

Abstract

ABSTRACT The government launched the KIA BOOK as a guide containing education and early detection of health problems in pregnant women, childbirth, postpartum, and children. However, in practice, the use of the KIA Book in physical form still faces several challenges, including the risk of loss, damage, limitations in understanding the information by pregnant women, and the lack of time and resources for midwives to provide comprehensive and consistent education. By developing an AI-based Digital KIA Book, the pregnancy monitoring process can be carried out more effectively, and the education provided can be tailored to the profile and needs of each pregnant woman. The aim of this research is to produce a product in the form of an AI-based digital transformation of the KIA book to improve maternal health monitoring and health education for independent midwives in Bengkulu City. This research used RD methods with agile development. The population in this study was 80 respondents consisting of 60 pregnant women who underwent pregnancy check-ups at midwives and 20 independent midwives in Bengkulu City randomly. The research instruments included a test of application usability, compliance with antenatal care (ANC) visits, recording of Fe tablet consumption, and user satisfaction. Analysis used paired t-test and Wilcoxon statistical tests. Compliance with ANC visits increased from 68.3% to 86.7% (p 0.05), recording of Fe tablet consumption increased from 55% to 81.7% (p 0.05), 73.3% of pregnant women better understood the danger signs of pregnancy after using the application, 85% of midwives felt the application made it easier to monitor pregnant women, and 90% considered the visit reminder feature very effective, Satisfaction level: the average score of pregnant women was 78.4 (acceptable) and midwives 82.1 (excellent). The AI-based Digital KIA Book is recommended to improve health monitoring of pregnant women and health education for independent midwives in Bengkulu City. Keywords: Kia Book, Digital, Pregnant Women, Independent Practice Midwives.  ABSTRAK Pemerintah mencanangkan BUKU KIA sebagai panduan yang berisi Edukasi dan deteksi dini masalah kesehatan pada iBu hamil, bersalin,nifas dan anak. Namun, dalam praktiknya, pemanfaatan Buku KIA dalam bentuk fisik masih menghadapi sejumlah tantangan, antara lain risiko kehilangan, kerusakan, keterbatasan dalam pemahaman informasi oleh ibu hamil, serta minimnya waktu dan sumber daya bidan untuk memberikan edukasi secara menyeluruh dan konsisten. Dengan mengembangkan Buku KIA Digital berbasis AI, proses pemantauan kehamilan dapat dilakukan lebih efektif, dan edukasi yang diberikan dapat disesuaikan dengan profil serta kebutuhan masing-masing ibu hamil. Tujuan dari penelitian ini menghasilkan produk berupa Transformasi Buku KIA Digital Berbasis AI untuk Meningkatkan Pemantauan Kesehatan Ibu Hamil dan Edukasi Kesehatan pada Bidan Praktik Mandiri Kota Bengkulu. Penelitian ini menggunakan metode RD dengan pengembangan Agile. Populasi pada penelitian ini berjumlah 80 Responden terdiri dari ibu hamil 60 orang yang melakukan pemeriksaan kehamilan di bidan dan Bidan Praktik mandiri 20 orang di Kota Bengkulu secara random. Instrumen penelitian meliputi uji kegunaan aplikasi, kepatuhan kunjungan antenatal care (ANC), pencatatan konsumsi tablet Fe, dan kepuasan pengguna. Analisis menggunakan uji statistik paired t-test dan Wilcoxon. Hasil Kepatuhan kunjungan ANC meningkat dari 68,3% menjadi 86,7% (p 0,05),  Pencatatan konsumsi tablet Fe naik dari 55% menjadi 81,7% (p 0,05),  73,3% ibu hamil lebih memahami tanda bahaya kehamilan setelah menggunakan aplikasi, 85% bidan merasa aplikasi mempermudah monitoring ibu hamil, dan 90% menilai fitur reminder kunjungan sangat efektif, Tingkat kepuasan: rata-rata skor ibu hamil 78,4 (acceptable) dan bidan 82,1 (excellent). Kesimpulan Buku KIA Digital Berbasis AI direkomendasikan untuk meningkatkan pemantauan kesehatan Ibu Hamil dan Edukasi Kesehatan pada Bidan Praktik Mandiri Kota Bengkulu. Kata Kunci: Buku Kia, Digital, Ibu Hamil, Bidan Praktik Mandiri.
Co-Authors Alinse, Rizka Tri Arif, Hilda Meisya Dewantara, Dewantara Diah Azhari Felino, Ferdianto Firdaus, Muhamad Bitang Gunadi Widi Nurcahyo Herlinda Herlinda, Herlinda Juju Jumadi Khairil Khairil Lestari, Gita Dahlia Mona, Prahasti Nizar, Fahrul Ikhram Nizar, Fahrul Ikram Pransiska, Yance Sallaby, Achmad Fikri Selvianti, Dita Toibah Umi Kalsum Yuyu, Yuhandri