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All Journal TEKNIK INFORMATIKA Journal of Information System Jurnal Sains Dan Teknologi (SAINTEKBU) Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal Teknologi Informasi dan Multimedia Jurnal Tunas JASEE Journal of Application and Science on Electrical Engineering Jurnal Fortech SinarFe7 EXPLORE Journal of Informatics Development KREATIF: Jurnal Pengabdian Masyarakat Nusantara Jurnal JEETech
Nuzul Hikmah
Universitas Panca Marga
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Other

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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.
Rekonfigurasi Jaringan Menggunakan Binary Particle Swarm Optimization (BPSO) Pada Penyulang Suryagraha Diana Mulya Dewi; Nuzul Hikmah; Imam Marzuki; Ahmad Izzuddin
Jurnal JEETech Vol. 1 No. 1 (2020): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jeetech.v1i1.4

Abstract

A radial distribution electrical network at a certain distance will have a large voltage loss due to conductive losses, especially at the endpoint. The tip voltage is determined by the distance of the distribution and the amount of load. The form of configuration also affects the amount of power loss and voltage loss. So that a good configuration is needed in order to obtain good efficiency. Reconfiguration of the distribution network is used to reset the network configuration form by opening and closing switches on the distribution network. Reconfiguration is expected to reduce power losses and improve distribution system reliability. Many feeders and buses on the network if calculated manually will be difficult and require a very long time. So it is necessary to solve problems using program assistance. In this case, use Particle Swarm Optimization (PSO). Particle Swarm Optimization (PSO) algorithm based on the behavior of a herd of insects, such as ants, termites, bees, or birds. BPSO is a development of the PSO algorithm designed to solve the optimization problem in a discrete combination, where the particle takes the value of binary vectors with length n and speed which is defined as the probability of bits to reach value 1. The results show a significant reduction in losses.
Rancang Bangun Alat Pendeteksi Kendaraan Dari Arah Berlawanan Pada Tikungan Tajam Berbasis Arduino UNO Ayuni Finda Rika; Nuzul Hikmah
Jurnal JEETech Vol. 2 No. 1 (2021): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jeetech.v2i1.158

Abstract

A sharp bend is a bend that has an acute angle with the level of difficulty when the vehicle crosses the road. In sharp turns frequent vehicle accidents occur. Accidents are caused by vehicles traveling at high speeds when they will cross the bend in the road. In addition, the driver also wants to overtake the vehicle when going through the bend. By making this warning system, it is expected to reduce accidents on the road bends. This tool can detect the presence of a vehicle and will give a warning in the form of an indicator light that is controlled by the Arduino UNO microcontroller using an Ultrasonic sensor and will light up if within 10 m before crossing the road bend there is a vehicle that will pass
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.
Part-of-Speech Tagging Bahasa Jawa Menggunakan Model Pre-Trained Bidirectional Encoder Representation from Transformers Ahmad Izzuddin; Nuzul Hikmah; Muhammad Alvin Ajry
JOINS (Journal of Information System) Vol 11 No 1 (2026): (Desember 2025 - Mei 2026)
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v11i1.14923

Abstract

Part-of-Speech Tagging (POS tagging) is the process of determining word classes in a text that is important in natural language processing. In Javanese, POS tagging is still a challenge due to limited linguistic resources and the complexity of the language. With the development of deep learning technology, the BERT (Bidirectional Encoder Representations from Transformers) fine-tuning method has been applied to classify word classes in Javanese, which is a language with limited resources. The javanese-bert-small model was trained using the UD_Javanese-CSUI dataset, and evaluated using precision, recall, F1-score, and accuracy metrics. The results showed that the model achieved good performance with an accuracy of 88,87%, and showed stability during training without significant overfitting. These findings indicate that the BERT-based approach is effective in handling word class ambiguity in Javanese and can be a stepping stone for further development in NLP systems for regional languages.
Co-Authors Agustina Widayati Ahmad Efendi Ahmad Fadillah Ahmad Izzuddin Ahmad Izzuddin Ahmad Rifan Syah Ali As'ad Ali Masykur Ibrahim Andrik Sunyoto Arofatul Isnaini Ary Analisa Rahma Ayuni Finda Rika Berli Wahyu Ramadhan Diana Mulya Dewi Diana Mulya Dewi Dyah Ariyanti Dyah Ariyanti Farhatin Nikmah Faridahtul Jannah Fathur Rahman Ferry Agus Pratama Fitria Esa Hendra Arief Pratama Imam Marzuki Ira Aprilia Januar Bagus Prasetyo Linda Kurnia Linda Kurnia S. Linda Kurnia Supraptiningsih Marsetio Wahyu N Maryamah Maryamah Melista Sugesti Miranti Dian P Misdiyanto Misdiyanto Mohammad Yaqin Amirullah Muhammad Alvin Ajry Muhammad Anas Muhammad Hasan Fathul Arifin Nisar Qurratul A'yun Noer Fika Dita Noor, Muhammad Fathuddin Rendhy Putra Ririn Indriati Ririn Indriati Rizqy Amalia Sriwidyawati W Syahrian Barret Y.P Tri Hardiyanto Jiwandono Yustina Suhandini Tj