Article Per Year (5 Year)
p-Index From 2020 - 2025
6.503
P-Index
This Author published in this journals
All Journal TEKNIK INFORMATIKA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer IJISTECH (International Journal Of Information System & Technology) SENSITEK Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Jurnal Bumigora Information Technology (BITe) Jurnal Teknimedia: Teknologi Informasi dan Multimedia IJISTECH ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Melek IT: Information Technology Journal International Journal of Electronics and Communications Systems Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Riset Multidisiplin Edukasi Prosiding Seminar Nasional CORISINDO
Khairan marzuki
Universitas Bumigora
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Nursing Social Sciences Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
Penerapan Prometheus Terintegrasi Grafana untuk Monitoring Virtualisasi berbasis Proxmox Virtual Environment Sahimin, Sahimin; Hariyadi, I Putu; Marzuki, Khairan
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5486

Abstract

Virtualisasi menjadi salah satu solusi utama dalam pengelolaan sumber daya komputasi. Proxmox Virtual Environment (PVE) merupakan salah satu hypervisor yang digunakan untuk memanajemen virtualisasi. Monitoring sumber daya virtualisasi menjadi sangat penting dilakukan secara terus-menerus untuk mengetahui performansi, ketersediaan, dan stabilitas layanan berjalan dengan yang baik. Umumnya monitoring dilakukan dimana pengguna atau administrator tetap berada di depan layar komputer sehingga menjadi kurang efektif. Penerapan Prometheus dan Grafana yang diintegrasikan dengan Telegram menjadi solusi monitoring PVE yang memungkinkan pengguna mendapatkan informasi secara cepat dan akurat meskipun tidak melakukan pemantauan melalui layar komputer yakni melalui notifikasi Telegram. Dalam penelitian ini menggunakan metode Network Development Life Cycle (NDLC) sebagai pendekatan dalam perancangan dan pengembangan sistem. Terdapat 4 tahapan NDLC yang digunakan yaitu Analisis, Desain, Simulation Prototyping dan Monitoring. Pada tahap analisis dilakukan proses pengumpulan dan evaluasi data yang berkaitan dengan kebutuhan sistem. Tahap desain buat rancangan jaringan uji coba dan rancangan pengalamatan IP serta rancangan sistem termasuk kebutuhan perangkat keras dan lunak. Tahap simulation prototyping mencakup proses instalasi dan konfigurasi pada PVE, pembuatan container dan konfigurasi Prometheus serta Grafana dilanjutkan dengan pengujian sistem serta analisis terhadap hasil ujicoba tersebut. Pada tahap monitoring dilakukan monitoring terhadap tiga komponen utama yaitu CPU, memori, dan penyimpanan, untuk menilai kinerja sistem yang telah diterapkan. Penerapan Prometheus yang terintegrasi Grafana sebagai alat monitoring pada virtualisasi berbasis PVE dapat menghasilkan sebuah sistem yang mampu membantu pengguna dalam memantau kondisi server secara efisien dan real-time.
Support Vector Machine Optimization for Diabetes Prediction Using Grid Search Integrated with SHapley Additive exPlanations Safii, M; Husain, Husain; Marzuki, Khairan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 1 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i1.5133

Abstract

The high number of diabetes mellitus sufferers has become a global health issue, and a scientific approach is needed to produce accurate and efficient diagnoses, which can then support decision-making in providing solutions for its management. The goal of this research is to develop a machine learning model that can accurately, efficiently, and transparently diagnose diabetes mellitus for use in clinical practice. This research method involves using the Support Vector Machine (SVM) algorithm, optimized with the Grid Search technique, and evaluated interpretively using the SHapley Additive exPlanations (SHAP) method. This research uses a secondary dataset consisting of the parameters Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, Body Mass Index, DiabetesPedigree- Function, and Age. Data preprocessing was carried out by performing normalization using a standard scaler and dividing the data into training and testing sets. The results of this study show that the SVM model achieved an accuracy of 0.7532 with the optimal parameters C: 1, gamma: 0.01, and kernel: rbf. Using SHAP, the analysis shows that the parameters Glucose, Body Mass Index, and Age have a significant impact on the results of diabetes classification. The main finding of this study is that SupportVector Machine optimization with SHapley Additive exPlanations can deliver excellent performance in diabetes prediction while also enhancing model transparency. The study’s implications suggest that the results can serve as a foundation for developing a medical diagnosis system that is straightforward, accurate, and easy to understand for diabetes mellitus.
Penguatan Kapasitas Pengelolaan Naskah Kuno melalui Sosialisasi Identifikasi dan Pendaftaran di Perpustakaan Daerah Kasim, Sunardy; Syamsurrijal, Syamsurrijal; Rachman, Dedy Febry; Marzuki, Khairan
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 4 No. 2 (2025): Jurnal Ilmiah Pengabdian dan Inovasi
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v4i2.706

Abstract

This community service programme was implemented in collaboration with the Central Lombok Regional Library to address the limited capacity in managing ancient manuscripts, an important form of Sasak documentary heritage. To date, manuscripts written on palm leaves, daluang, and paper containing texts such as babad, serat, and suluk have not been systematically documented and lack standardised cataloguing practices. This situation restricts research access, increases the physical vulnerability of the materials, and weakens the connection between local collections and wider manuscript information networks at regional and national levels. Responding to this urgency, the programme focused on strengthening local knowledge preservation while enhancing institutional capability in written heritage management. Activities were designed through a Participatory Action Research (PAR) approach, involving needs assessments, focus group discussions, manuscript identification workshops, simulations of standard metadata application, and guided assistance in developing an initial inventory. Librarians, local collection managers, and manuscript owners were actively engaged as partners throughout the process. The programme’s outcomes demonstrated a significant improvement in participants’ understanding of manuscript characteristics, identification methods, and cataloguing techniques. Moreover, a registration workflow and a dedicated management team were established to ensure future continuity. These results illustrate that participatory capacity building is an effective strategy for improving local manuscript management and supporting the long-term preservation of Sasak cultural heritage
Co-Authors Abdurraghib Segaf Suweleh Affan, Usman Ibnu Andi Sofyan Anas Anthony Anggrawan Apriani Apriani Apriani Apriani Apriliana, Zikriati Arief Setyanto Asro Nasiri As’ary Ramadhan Ayu Dasriani, Ni Gusti azhar mardedi, lalu zazuli Azhar, Raisul Baiq Chandra Herawati Canggih Wahyu Rinaldi Dedy Febry Rachman Dewa Ayu Oki Astarini Dewi, Puspita Dyah Susilowati Dyah Susilowaty Eria Raudhatul Jannah Guterres, Juvinal Ximenes Hairani Hairani Hanif, Naufal Hariyadi, I Putu Helna Wardhana Husain Husain Husain I Made Yadi Dharma I Putu Hariyadi Ibjan Syarif Hidayatullah Ikang Murapi Ikrom, Paizul Indah Puji Lestari Ismail Husein, Ismail Juliyanto, Fery Jusmita Weriza Khairul Imtihan Kholid, Muhammad Idham Kurniadin Abd Latif Lalau Ganda Rady Putra Lalu Ahmad Najmul Munir Lalu Ganda Rady Putra Lalu Zazuli AzharMardedi lauw, Christopher Michael Lilik Widyawati Lillik Widyawati M Fakhariza Mardedi, Lalu Zazuli Azhar Mardedi, Lalu Zazuli Azhar Maulana Ashari Maulid Putra Perdana Mia Mubiatma Mohammad Taufan Asri Zaen Muhammad Idham Kholid Naufal Hanif Ni Ketut Sriwinarti Noranizamardia Noranizamardia Ondi Asroni Parama Diptya Widayaka PUTRA, MUHAMAD ALVAN EKAWAN R. Ayu Ida Aryani Radimas Putra Muhammad Davi Labib Regina Pricilia Yunika Rifqi Hammad Safii, M Sahimin, Sahimin Santoso, Heroe Sirojul Hadi Siti Soraya Sunardy Kasim Syamsurrijal, Syamsurrijal Syarif Hidayatullah, Ibjan Tomi Tri Sujaka Usman Ibnu Affan Yadi Dharma, I Made Yudistira, Yudha Yusri Ikhwani Zakiyudin, Hizbu