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All Journal JurTI (JURNAL TEKNOLOGI INFORMASI) Jurnal Qua Teknika Applied Technology and Computing Science Journal Buletin Ilmiah Sarjana Teknik Elektro JE-Unisla Journal of Computer Networks, Architecture and High Performance Computing GUYUB: Journal of Community Engagement Journal of Electrical Engineering and Computer (JEECOM) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Transformasi TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Jurnal Ilmiah Pengabdian dan Inovasi COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Akiratech Transaction on Informatics and Data Science
Khairi, Matlubul
Universitas Nurul Jadid
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Monitoring Application for Student Activity Units Administration Data of Nurul Jadid University Based on Android Syafiih, M; Nadiyah; Khairi, Matlubul
Transactions on Informatics and Data Science Vol. 1 No. 2 (2024)
Publisher : Department of Informatics, Faculty of Da'wah, UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v1i2.12233

Abstract

Nurul Jadid University (UNUJA) at Probolinggo, Indonesia, is one of the universities located in Karanganyar, Paiton District, Probolinggo Regency, which is based in Pesantren, as a place for students who want to gain knowledge not only in the religious field- but also technology and health. Administrative data monitoring activities from 17 Student Activity Units owned by Nurul Jadid University are still run manually or face-to-face directly between the student affairs section and the head of the student affairs section starts monitoring from submission of decision letters, budgets, work programs, proposals, and activity reports of each student activity units. Several problems arise in this way; the busyness of students with a tight lecture schedule causes a slow process of depositing files and others, impacting the predetermined time- Therefore, an application is needed to monitor administrative data at Nurul Jadid University. The RAD method was chosen in this study to achieve the expected goals. An Android-based student activity unit (SAU) of Nurul Jadid University of administration data monitoring application has been produced.
Industry Class Clustering of Software Expertise Competency at SMKN 2 Kraksaan Using Constrained K-Means Clustering Algorithm Khairi, Matlubul; Syafiih, M.; Khairi, Ahmad
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4214

Abstract

Addressing the gap between school education and industry needs is a recurring concern, as many graduates struggle to enter the workforce due to lacking practical skills. Industry Classes aim to bridge this gap by preparing students with relevant skills and knowledge aligned with real-world industry demands. This study focuses on the application of Constrained K-Means Clustering to categorize students in the software engineering competency classes at SMKN 2 Kraksaan. This algorithm modifies traditional K-Means by utilizing Linear Programming Algorithm (LPA), ensuring each cluster meets predefined subject requirements. The research involves analyzing academic proficiency test data (TKDA) from 96 X-grade students, evaluating their abilities in analogy, series, figural, mathematical, and recall skills. Using a 3-cluster approach, each with 32 to 60 student capacity constraints, the study aims to optimize student distribution for effective learning outcomes. Evaluation through silhouette method yielded a score of 0.3199, indicating satisfactory separation between clusters with overlap to address. Cluster analysis revealed Cluster 2 as the most proficient, showcasing strengths in recall and series attributes critical for software engineering. These findings suggest that Constrained K-Means Clustering is effective in classifying students, highlighting Cluster 2 as optimal for software engineering competencies at SMKN 2 Kraksaan. Future research should focus on enhancing data quality, expanding sample size, and refining algorithms for improved clustering accuracy and effectiveness.
PERANCANGAN APLIKASI SECURITY SMART HOME DENGAN TEKNOLOGI IOT BERBASIS ARDUINO TERINTEGRASI ANDROID NUGROHO, ILHAM ALIF; SYAIFUL, SYAIFUL; KHAIRI, MATLUBUL; Mahasinul Akhlak, Muhammad Lutfi
TRANSFORMASI Vol 20, No 1 (2024): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v20i1.368

Abstract

Rumah ialah sebuah bangunan untuk berlindung dan berkumpul bersama keluarga. Setiap orang ingin ingin memiliki rumah yang aman dan nyaman. Data dari Badan Pusat Statistik (BPS) membuktikan bahwa tingkat kejahatan di Indonesia pada tahun 2020 mencapai 247.218 kejadian. Persentase penduduk Indonesia yang mengalami kejahatan dan melapor ke polisi masih menyentuh angka sebesar 23,46%. Perkembangan teknologi terus meningkat sehingga banyak aplikasi yang mempermudah kinerja manusia. Terdapat sebuah teknologi yang bernama rumah pintar (security smart home) yang membuat user atau penggunanya lebih mudah dalam memantau dan mengawasi rumah mereka. Internet of Things (IoT) adalah sebuah revolusi teknologi yang memungkinkan benda – benda di sekitar kita terhubung ke jaringan internet. Selain menimbulkan rasa aman, teknologi ini juga dapat memberikan rasa nyaman karena memungkinkan kita untuk mengontrol rumah dari manapun dan kapanpun hanya dengan menggunakan aplikasi yang berada di smartphone kita. Penerapan aplikasi security smart home dilakukan dengan beberapa tahapan yaitu pengumpulan data, merancang desain sistem dan alat, mengimplementasikan desain sistem dan alat yang sudah dilakukan dan terakhir melakukan pengujian terhadap sistem dan alat yang sudah dibuat. Sistem yang dikembangkan menyediakan basis data untuk menyimpan data-data siapa saja yang dapat mengakses aplikasi security smart home. Berdasarkan hasil Blackbox testing dan pengujian performa dapat disimpulkan bahwa aplikasi Security Smart Home ini layak digunakan karena dapat bekerja sesuai dengan tujuan perancangan.Kata kunci: Security Smart Home, Internet of Things, Arduino
Optimalisasi Digital Marketing dan E-Commerce Berbasis Notifikasi untuk Meningkatkan Penjualan UMKM Kampoenk Snack Probolinggo Yaqin, Moh. Ainol; Khairi, Matlubul; Eka Pradani, Rizki Febri
GUYUB: Journal of Community Engagement Vol 6, No 4 (2025): Desember
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v6i4.12576

Abstract

This community service program (PkM) strengthened the competitiveness of Kampoenk Snack MSME (Probolinggo) by raising partner empowerment in management (income generating) and marketing (revenue generating). Baseline conditions showed manual operations: inconsistent transaction and cashflow records, low traceability, and limited digital penetration (online sales <20%, rating 4.3 with <30 reviews). The program applied Participatory Action Research (PAR) in five stages: socialization, training, technology deployment, mentoring–evaluation, and sustainability. Interventions were grouped into (1) management–finance digitalization via a simple accounting/recording app, standardized workflows, and monthly profit–loss reporting; and (2) digital marketing automation through marketplace restructuring, improved content, and notification-based e-commerce (WhatsApp Fonnte, Telegram Bot, email marketing, auto-responder), with WhatsApp direct messages as the primary conversion channel. Performance measures included a management regularity checklist, marketplace dashboards for rating and reviews, notification logs, and content insights. Measurement windows were two weeks for content reach and two months for online revenue. Data were triangulated by cross-checking app records, marketplace recaps, transaction evidence, interviews, and observations. Results show management regularity improved to 85%, promotions reached >300 customers, 15 photos and 5 videos reached ~5,000 accounts in two weeks, online revenue rose ~30% (IDR 2.75 million to ~IDR 3.5–4 million/month), and marketplace reputation increased (reviews 28→53; rating 4.3→4.7).
Co-Authors Ahmad Fauzan Arifin, Fathol Ariska, Ida Bahar, Hasbul Beny Yusman Dinata, Dani Eka Pradani, Rizki Febri Furqan, Moh. Hati, Suci Kafabihi, Mohammad Alvin Khairi, Ahmad M Fadhilurrahman M. Syafiih Moch Nur Qomaruddin Moh. Furqan Muafi Muafi Muafi Nadiyah Nadiyah Nadiyah Nadiyah NUGROHO, ILHAM ALIF Putri, Merlina Eka Rahayu, Sri Indra Ranu Setyobudi Rasidi, Moh Romadhan, Ivan Lailur Sulistiyanto, Sulistiyanto Syafiih, M Syafiih, M. Syaiful . Umar Faruq Umar, Muafi Yaqin, Moh. Ainol