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Rancang Bangun Sistem Keamanan Sepeda Motor Berbasis RFID dan GPS Tracker Rendhy Putra; Nuzul Hikmah; Linda Kurnia
JASEE Journal of Application and Science on Electrical Engineering Vol. 2 No. 02 (2021): JASEE -September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v2i02.170

Abstract

Banyaknya pencurian pada kendaraan bermotor mendorong usaha untuk meningkatkan sistem keamanannya. Meskipun keamanan yang diberikan cukup ketat akan tetapi kendaraan masih dapat dibobol oleh pencuri. Penelitian ini bertujuan untuk membuat sistem keamanan menggunakan ESP 8266, Sensor RFID dan Modul GPS. ESP 8266 adalah sebuah chip yang di dalamnya terdapat processor, memori dan akses ke GPIO. Sistem ini memanfaatkan sensor RFID yang berperan sebagai monitoring ID yang didaftarkan untuk perintah awal pada kontak pemutus arus kelistrikan kendaraan dengan menggunakan E-KTP. Sistem juga menggunakan modul GPS sebagai monitoring posisi kendaraan secara real-time. Rancangan sistem keamanan kendaraan bermotor menggunakan E-KTP sebagai alat otentikasi sudah berhasil dan bekerja dengan baik. Sistem sudah dapat mendaftarkan 2 identitas dari kartu E-KTP agar mempermudah. Tampilan pada aplikasi Blynk dilengkapi angka Latitude dan Longtitude sehingga dapat mempermudah pemilik kendaraan dalam mengetahui posisi kendaraannya secara real-time. Penggunaan jaringan wifi sudah bisa mengirimkan data digital secara real-time dari mikrokontroler ESP 8266 ke aplikasi android.
Pemberdayaan Posyandu Melalui Digitalisasi dan Penguatan Kapasitas Kader dalam Pencegahan Stunting di Desa Jabung Sisir Ahmad Izzuddin; Nuzul Hikmah; Agustina Widayati; Yustina Suhandini Tj; Ira Aprilia; Andrik Sunyoto; Dyah Ariyanti; Faridahtul Jannah; Noer Fika Dita; Muhammad Hasan Fathul Arifin; Ali Masykur Ibrahim
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 1 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i1.9272

Abstract

Stunting is a serious health issue in Indonesia, with a national prevalence of 21.6 percent. Probolinggo Regency in East Java also records a high prevalence rate, reaching 17.3 percent. The main factors contributing to stunting are limited access to health services and nutrition. The Posyandu (Integrated Health Post) plays a crucial role in prevention efforts but faces challenges in management and cadre skills, particularly in data recording and nutritional status measurement. Jabung Sisir Village in Probolinggo Regency was selected as the community partner for empowerment through a program of Posyandu digitalization and cadre capacity building. The aim of this activity is to improve cadre literacy on stunting and to provide an effective digital reporting system to support prevention and control efforts. The implementation method consisted of cadre training on stunting literacy, anthropometric techniques, effective communication, and the use of a web- and Android-based Posyandu Information System. The program was followed by cadre mentoring as well as evaluation through pre-tests, post-tests, and periodic monitoring. The results showed an increase in cadre knowledge, anthropometric measurement skills, and the ability to use digital systems for data recording and reporting. These findings highlight that Posyandu digitalization can strengthen cadre capacity in stunting prevention while serving as an innovative model for enhancing community-based health services.
Prediksi Jumlah Permintaan Darah Jenis Packed Red Cells Menggunakan Support Vector Regression Ahmad Izzuddin; Farhatin Nikmah; Nuzul Hikmah
Jurnal JEETech Vol. 6 No. 2 (2025): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i2.6209

Abstract

The Blood Transfusion Unit (UTD) of the Indonesian Red Cross (PMI) in Probolinggo Regency faces challenges in managing blood supplies, particularly for Packed Red Cells (PRC), due to unpredictable fluctuations in demand. The imbalance between supply and demand often leads to shortages or surpluses, affecting the quality of healthcare services. This study aims to predict the demand for PRC to support more efficient inventory management. The method employed is Support Vector Regression (SVR), an approach within the Support Vector Machine (SVM) algorithm that is effective for regression and prediction tasks. Historical blood demand data was used to train the model. The results indicate that SVR provides sufficiently accurate predictions for all blood types, with the best performance achieved for blood type B, yielding a Root Mean Square Error (RMSE) of 0.0589 and a Mean Absolute Percentage Error (MAPE) of 7.11%. In conclusion, the SVR method can be effectively applied to forecast PRC demand and has the potential to support decision-making in blood stock management at the UTD PMI of Probolinggo Regency.