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Implementasi Customer Relationship Management (CRM) Pada Aplikasi Sistem Informasi Administrasi Rawat Jalan dan Rawat Inap Pada Klinik Zaky Sinar Husada Chairul Rizal; Supiyandi Supiyandi; Muhammad Zen; Tasya Maulariqa Insani; Muhammad Taufiq Rustam
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 5, No 1 (2021): April 2021
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v5i1.9205

Abstract

Klinik Zaky Sinar Husada adalah klinik yang melayani Faskes BPJS Kesehatan terhadap Rawat Inap dan Rawat Jalan di Kabupaten Deli Serdang. Alamat klinik Zaky Sinar Husada terletak di jalan Perintis Kemerdekaan No. 12 Kecamatan Galang. Dalam peningkatan pelayanan kesehatan yang baik untuk masyarakat, maka penting adanya sistem yang lebih efektif dan efesien guna pengolahan data bagi pelayanan masyarakat. Sistem kinerja pada klinik Zaky Sinar Husada dalam pelayanan rawat jalan dan rawat inap ini masih.dilakukan.dengan.media.pembukuan.yang.bersifat. Manual sehingga banyak masalah atau kendala yang dialami pihak klinik seperti kesalahan menginput data, penyimpanan data, serta adanya kerangkapan arsip pasien. Pembuatan aplikasi dibuat menggunakan situs website dengan bahasa pemograman PHP dan dengan implementasi Customer Relationship Management (CRM) seperti memberikan fitur penilaian dan komentar terhadap pelayanan klinik yang dapat diakses oleh pasien, dan pihak administrasi dapat menggunakan fitur pengolahan data pada situs admin serta dapat melihat data penilaian dan komentar.
Hybrid Feature Selection dan Ensemble Learning untuk Klasifikasi Risiko Stunting Anak di Indonesia Ommi Alfina; Nita Syahputri; M. Safii; Muhammad Taufiq Rustam
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp107-111

Abstract

Stunting is a chronic nutritional problem that remains a major public health issue in Indonesia. This study aims to develop a classification model for stunting risk in children using a combination of hybrid feature selection and ensemble learning methods. The dataset used is derived from socio-economic and health data obtained from the Central Statistics Agency and open datasets. The research method includes data preprocessing, feature selection, model development using Random Forest and Gradient Boosting combined with a Voting Classifier, and evaluation using accuracy, precision, recall, F1-score, and ROC-AUC metrics. The results show that the proposed model achieves high performance with accuracy reaching 98% and ROC-AUC close to 1. The hybrid feature selection successfully improves model efficiency by selecting relevant features. This study demonstrates that the integration of feature selection and ensemble learning can produce an accurate and interpretable model for early detection of stunting risk.
Implementasi Smart Attendance System Berbasis RFID dan Face Recognition untuk Meningkatkan Efisiensi Presensi Siswa Pada SMK PAB 8 Sampali Medan Ommi Alfina; Nita Syahputri; Habib Nurlutman Hasibuan; M. Safii; Muhammad Taufiq Rustam
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 6 No 1 (2026): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol6No1.pp42-49

Abstract

The development of digital transformation in the field of education encourages schools to adopt technology that can improve the effectiveness of academic administration, particularly in the student attendance system. SMK PAB 8 Sampali Medan still faces several problems in the conventional attendance process such as delays in recording, potential manipulation of attendance, and suboptimal monitoring of student attendance data. This community service activity aims to implement a Smart Attendance System based on RFID and Face Recognition to improve the efficiency, accuracy, and security of the student attendance process. The implementation of the activity is carried out through stages of observing the school's needs, system design, installation of RFID devices and face recognition cameras, training teachers and school operators in using the system, and assistance in implementation. The results of the activity show that the implemented system is capable of accelerating the student attendance process in real-time, minimizing recording errors, improving student attendance discipline, and facilitating the school in monitoring and digitally summarizing attendance data. In addition, this activity also improves technology literacy for teachers and administrative staff in supporting the digital transformation of education within the school environment.
Pelatihan Smart Home Berbasis Internet of Things (IoT) dalam Meningkatkan Efisiensi Energi di SMK PAB 8 Sampali Iwan Fitrianto Rahmad; Khairul Ummi; Erwin Panggabean; Muhammad Taufiq Rustam; Vidi Agung Fragastia; Elsa Aditya; Ria Eka Sari
Publikasi Pengabdian Masyarakat Vol 6 No 1 (2026): PUBLIDIMAS Vol. 6 No. 1 MEI 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.6.1.2026.19-28

Abstract

Perkembangan teknologi Internet of Things (IoT) telah membuka peluang strategis dalam penerapan sistem smart home guna mengoptimalkan efisiensi konsumsi energi listrik di sektor residensial. Namun, kompetensi siswa Sekolah Menengah Kejuruan (SMK) dalam bidang IoT dan manajemen energi masih perlu ditingkatkan agar selaras dengan tuntutan Industri 4.0 dan kebijakan transisi energi nasional. Kegiatan Pengabdian kepada Masyarakat melalui Program Kreativitas Mahasiswa (PKM) ini bertujuan meningkatkan pengetahuan konseptual dan keterampilan teknis siswa dalam merancang serta mengimplementasikan sistem smart home berbasis IoT untuk mendukung efisiensi energi. Kegiatan dilaksanakan pada 23 Mei 2026 di SMK PAB 8 Sampali dengan melibatkan sebanyak 19 siswa sebagai peserta. Metode yang diterapkan mencakup penyampaian materi teoritis, demonstrasi, praktik langsung (hands-on training), pendampingan teknis, serta evaluasi menggunakan instrumen pre-test, post-test, dan kuesioner kepuasan bersekala Likert. Hasil analisis kuantitatif menunjukkan peningkatan skor rata-rata peserta dari 50,0 pada pre-test menjadi 90,0 pada post-test (skala 0–100), yang merepresentasikan peningkatan pemahaman sebesar 40 poin persentase. Tingkat kepuasan peserta mencapai 90,5%, mengindikasikan relevansi dan efektivitas program terhadap kebutuhan pembelajaran vokasi. Disimpulkan bahwa pelatihan smart home berbasis IoT terbukti efektif dalam meningkatkan kompetensi digital, kesadaran konservasi energi, dan kesiapan siswa menghadapi transformasi teknologi industri, sehingga layak diadopsi sebagai model pembelajaran vokasi berkelanjutan.
Penerapan Internet of Things (IoT) Dasar dalam Sistem Monitoring Lingkungan Sekolah Serta Smart Classroom di SMK PAB 8 Sampali Medan Ommi Alfina; Nita Syahputri; Ananda Pratama; Muhammad Taufiq Rustam; M. Safii; Jamaluddin Jamaluddin
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 2 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol5No2.pp259-265

Abstract

The development of Internet of Things (IoT) technology has opened up significant opportunities for improving the efficiency and effectiveness of learning systems as well as school environmental management. This community service activity aims to provide basic IoT training and implement an environmental monitoring system and smart classroom at SMK PAB 8 Sampali Medan. The implementation method includes three main stages: (1) socialization of basic IoT concepts and their application in the educational field, (2) practical training for creating simple IoT devices based on temperature, humidity, and light sensors, and (3) implementation of a school environmental monitoring system integrated with a web-based platform and a real-time dashboard. In addition, participants were also introduced to the concept of a smart classroom, where classroom conditions can be monitored and controlled automatically through the developed IoT system. The results of the activity showed an 85% increase in participants' understanding of basic IoT concepts and their ability to independently design environmental monitoring system prototypes. This program has had a positive impact on enhancing digital literacy, technical skills, and school readiness for IoT-based educational digital transformation.