Article Per Year (5 Year)
p-Index From 2021 - 2026
1.683
P-Index
This Author published in this journals
All Journal TEKNIK INFORMATIKA 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
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

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
PENERAPAN AUGMENTED REALITY BERBASIS ANDROID SEBAGAI MEDIA PENAMPIL INFORMASI TAMBAHAN PADA BROSUR PENERIMAAN MAHASISWA BARU UNIVERSITAS PANCA MARGA Januar Bagus Prasetyo; Nuzul Hikmah; Muhammad Fathuddin Noor
JURNAL TEKNIK INFORMATIKA Vol 14, No 1 (2021): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v14i1.17168

Abstract

Augmented Reality is a type of interactive technology that combines real objects and virtual objects at the same time and is displayed on the screen. Augmented Reality has been applied as a way of working based on image detection and it is commonly called a marker. By using the smartphone's camera and then detects the marker that has been printed. Augmented Reality is widely used in various purposes, the example is for advertising or promotion. In advertising, Augmented Reality can be used as a promotion or information that can make it more interesting. This research aims to apply AR technology to the campus promotion media on the University of Panca Marga's new student admission brochure. The stages taken in this research are literature study as well as observation, design, and implementation stages. The application of Augmented Reality was built using Unity 3D software, Android SDK, Vuforia SDK, and Sweet Home 3D. The results of the application of Augmented Reality technology can display 3D virtual objects, 2D, and video using the new student admission brochure used as a marker. The marker that is detected by the camera on the Android smartphone can display 3D UPM buildings, location plans, UPM profile videos, and faculty digital brochures. So users can see how the campus buildings are in real-time as well as some other information that has been provided. Based on the tests, all features can run well.
Rancang Bangun Aplikasi Media Pembelajaran Perakitan dan Perawatan pada Sistem Komputer Berbasis Android Mohammad Yaqin Amirullah; Nuzul Hikmah; Ary Analisa Rahma
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 2 (2020): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i2.90

Abstract

Teaching and learning is basically a process of educational interaction between teacher and student. Learning media become a very important part of the learning process. Therefore it is necessary to find an attractive learning media for students one of them is interactive learning media. Computer learning is one of the basic competency standards taught to students in vocational high schools. Based on observations at the Vocational High School Zainul Hasan Genggong Genggong with the speaker Mr. Mohammad Saleh, S.Kom as a teacher in the Vocational Basic Computer and Network Engineering, he said that the teacher still uses the delivery of material by whiteboard and also uses projector presentation aids using the projector power point slides especially the Vocational Basic Computer and Network Engineering lessons. Therefore it is necessary to find an attractive learning media for students one of them is interactive learning media. Interactive learning media has several elements such as text, audio, video and images, so that it is more interesting to students and students feel happy in learning compared to the way that is still very conventional. The research method used is research development with the stages of study of literature, observation, data collection, system analysis, system design, application implementation, application testing. For the implementation stage, an application has been made as a learning medium that can be accessed using an Android smartphone with a user friendly display, including pictures and videos. Based on the results of testing using blackbox testing and testing in various android platforms learning applications run well in accordance with the results expected by the user.
Pemberdayaan Usaha Mikro Kecil Menengah Bakpia Kirana di Masa Pandemi Covid-19 Dyah Ariyanti; Nuzul Hikmah; Ahmad Izzuddin; Fitria Esa; Marsetio Wahyu N; Ahmad Fadillah; Rizqy Amalia; Miranti Dian P; Syahrian Barret Y.P
Jurnal TUNAS Vol 3, No 1 (2021): Edisi November
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jtunas.v3i1.36

Abstract

Micro, Small, and Medium Enterprises during the Covid-19 pandemic is due to the reduction of workers in several companies. Micro, Small and Medium Enterprises, also known as MSMEs, are groups that already have small-scale businesses. MSMEs have the potential to grow large so that they are able to absorb labor and reduce unemployment. For this reason, it is necessary to empower this business group to grow well. One of the MSME products in traditional food is Bakpia. The target for this research is Bakpia Kirana MSMEs. This study aims to answer how the process, benefits, and impact of empowering MSME Bakpia Kirana. To identify these problems, the researchers used a qualitative approach, using the method of instrumental observation, in-depth interviews, and documentation. The data analysis used is the data analysis of the Miles and Huberman model which consists of data reduction, data presentation, and drawing conclusions. The results of the study show that Bakpia Kirana managers benefit from empowering MSMEs through capital, infrastructure, marketing support, non-material support, and always reminding them of the main objectives of each activity carried out, and the impact of empowerment has both positive and negative effects. The positive impacts obtained include having income, having more skills, being able to develop a business. The negative impacts include a lot of trade competition among bakpia products which is a benchmark between managers.
APLIKASI RESERVASI DAN MONITORING LES PRIVAT BERBASIS ANDROID (STUDI KASUS JAWARA CERDAS PRIVATE PROBOLINGGO) Nisar Qurratul A'yun; Ahmad Izzuddin; Nuzul Hikmah
SAINTEKBU Vol. 12 No. 1 (2020): Volume 12 No 1 Tahun 2020
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/saintekbu.v12i1.895

Abstract

Pembelajaran di dalam kelas tidak bisa dijadikan sebagai tolak ukur keberhasilan siswa dalam belajar di sekolah. Disamping karena keterbatasan waktu dalam menerangkan materi, tingkat konsentrasi siswa yang berbeda juga mempengaruhi. Maka tidak jarang dari orang tua yang ingin anaknya berprestasi memanggil guru private ke rumah. Les private yang sudah tersebar diberbagai daerah masih menggunakan cara manual dalam proses reservasinya. Customer harus mendaftar ke kantor / menghubungi melalui telpon, kemudian masih harus menunggu untuk dicarikan guru yang sesuai. Bahkan kenyataan dilapangan masih ditemukan guru yang tidak hadir saat sesi les berjalan. Untuk mempermudah customer dalam reservasi dan membantu lembaga dalam memonitoring kinerja guru, maka dibangun sistem reservasi dan monitoring les private berbasis android. Aplikasi ini dirancang dengan menggunakan bahasa pemorgraman java dan Android Studio sebagai IDE, serta database SQL sebagai media penyimpanannya. Fungsi aplikasi ini diantaranya dapat mencari guru sesuai dengan keinginan, mengatur jadwal dan melakukan reservasi. Selain itu bagi manajemen aplikasi ini disamping sebagai pendataan murid, guru dan reservasi yang berjalan, juga dapat melihat kinerja guru dari feedback yang diberikan murid. Hasil dari penelitian ini adalah terciptanya aplikasi reservasi dan monitoring les private Jawara Cerdas Private berbasis Android, sehingga diharapkan dapat membantu customer dalam mereservasi guru les private serta direksi dalam mengelola lembagales private.
Rekonfigurasi Jaringan Radial Distribusi Tenaga Listrik Penyulang Suryagraha Menggunakan Binary Particle Swarm Optimization (BPSO) Diana Mulya Dewi; Nuzul Hikmah; Imam Marzuki; Ahmad Izzuddin
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 9 No. 2 (2018): Oktober 2018
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v9i2.42

Abstract

A radial distribution electrical network at a certain distance will have a large voltage loss due to conductive losses, especially at the end point. 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 xn bits to reach value 1. The results show a significant reduction in losses .
Penerapan Teknik Data Mining untuk Clustering Armada pada PT. Siaga Transport Indonesia Menggunakan Metode k-Means Nuzul Hikmah; Dyah Ariyanti; Melista Sugesti
Jurnal Explore Vol 9, No 1 (2019)
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.57 KB) | DOI: 10.35200/explore.v9i1.116

Abstract

PT. Siaga  Transport Indonesia adalah perusahaan yang bergerak dibidang expedisi. Armada menjadi aset penting untuk perusahaan yang bergerak di bidang ini. Beratnya muatan yang diangkut, jauhnya jarak yang ditempuh, dan usia armada menjadi faktor penyebab kerusakan armada. Hal ini berpengaruh terhadap potensi armada. Untuk itu diperlukan analysis clustering menggunakan metode k-means untuk mengetahui armada yang potensial dan yang kurang potensial. Clustering merupakan teknik pengelompokkan objek yang didasarkan pada kemiripan antar objek dalam satu cluster. K-means merupakan metode clustering yang mempunyai kemampuan mengelompokkan data dalam jumlah cukup besar dengan waktu komputasi yang relatif cepat dan efisien. Dalam penelitian ini sistem akan mengelompokkan 33 armada dengan menggunakan variabel biaya operasional, tahun kendaraan, produktivitas armada dan kilometer armada menjadi 3 kelompok dengan kategori cluster armada berpotensi rendah, sedang dan tinggi. Dari hasil akhir sistem diketahui cluster 1 atau armada dengan potensi rendah ada 7 armada, cluster 2 atau armada dengan potensi sedang ada 14 armada, cluster 3 atau armada dengan potensi tinggi ada 12 armada. Pengujian dilakukan dengan metode silhouette coefficient dengan rentang variasi nilai yang dihasilkan yaitu dibawah nol sampai dengan 0,9.
Implementasi Chatbot Sebagai Virtual Assistant di Universitas Panca Marga Probolinggo menggunakan Metode TF-IDF Nuzul Hikmah; Dyah Ariyanti; Ferry Agus Pratama
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 4 No 2 (2022): Agustus
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i2.225

Abstract

This research is to implement a chatbot as a virtual assistant that can be used as an academic information service for the general public as well as for the academic community of the Panca Marga University Probolinggo campus. The stages of developing this chatbot using the waterfall method include analysis, design, code, testing and maintenance. The method used for learning chatbots uses Tf-Idf and VSM for word weighting in documents and queries and Cosine similarity to calculate similarity (similarity) between documents and queries. The final result of this research is a chatbot application that can be used as a virtual assistant as customer service in serving and providing information about academics at Panca Marga University Probolinggo. Based on the results of the accuracy and UAT testing, the accuracy rate obtained by the chatbot reached 85.7% and the UAT test in the first test reached 84.1% with a total of 30 respondents, in the second test it reached 82.1% with a total of 92 respondents.
Rancang Bangun Dishwasher Otomatis dengan Pengering pada Rumah Makan Ririn Indriati; Ahmad Izzuddin; Nuzul Hikmah
SinarFe7 Vol. 3 No. 1 (2020): Sinarfe7-3 2020
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.55 KB)

Abstract

Kegiatan mencuci piring merupakan hal umum yang rutin dilakukan di dunia. Pada penelitian sebelumnya hanya membersihkan piring dari 1 sisi depan saja dan tidak menggunakan spos atau sikat untuk menggosok noda yang menempel pada piring, sehingga perlu membersihkan piring dari sisi depan dan belakang. Setelah pencucian piring dilakukan, piring yang basah tidak bisa langsung digunakan, tetapi harus dikeringkan terlebih dahulu, sehingga bisa langsung dipergunakan kembali. Oleh karena itu, ditambahkan heater sebagai pengering piring. Metode ini dikontrol oleh Miktrokontroller Arduino Mega 2560, karena pada mikrokontroler ini dapat bekerja pada kecepatan tinggi sehingga piring dapat langsung dipergunakan kembali pada rumah makan. Proses pengambilan data dilakukan secara observasi yang dilakukan pada beberapa percobaan pencucian piring yang digosok dari 2 sisi dan proses pengeringan piring yang menggunakan heater serta thermostat sebagai pembatas suhu. Hasil yang diperoleh yaitu pada saat pencucian piring, penggosok bisa membersihkan piring, namun masih terdapat noda berupa sedikit sisa lemak dan sedikit bau amis. Hasil pada proses pengeringan piring, panas yang disebarkan oleh heater dan kipas menjadi lebih merata dengan suhu rata-rata 55°C.
Smart Trash Klasifikasi Sampah Otomatis Dengan Sensor Proximity Berbasis Arduino Muhammad Anas; Nuzul Hikmah; Ira Aprilia
Jurnal FORTECH Vol. 3 No. 2 (2022): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.259 KB) | DOI: 10.56795/fortech.v3i2.103

Abstract

Garbage is still a serious problem in Indonesia. Because, the impact can not only damage the environment, but also threaten human health. Garbage is divided into 3 types, namely organic, inorganic and metal which can be decomposed or not biodegradable and is considered no longer useful so that it is disposed of in the environment. Garbage sorting is usually done manually by a janitor before the waste is disposed of to the TPA for re-sorting. The purpose of waste sorting is to facilitate further waste management. This study uses a flowchart to assist the process of analysis and problem solving in research. Flow chart (Flowchart) is a graphical picture consisting of symbols. the results of the research in making a tool in the form of Smart Trash Automatic Garbage classification with Arduino Based Proximity Sensors are. This tool is made to facilitate automatic waste sorting. People who want to dispose of trash no longer have to open and close the lid of the trash can because the lid of the trash can open and close automatically.The working system of this automatic waste classification tool is that when waste is made of organic, inorganic and metal materials, it will be classified automatically into the trash bins that have been prepared. The waste sorting system 2 can only accommodate a maximum waste weight of 100 grams and the waste sorting place 1 is at least 6 grams.
Analysis Influence Segmentation Image on Classification Image X-raylungs with Method Convolutional Neural Fathur Rahman; Nuzul Hikmah; Misdiyanto Misdiyanto
Journal of Informatics Development Vol. 2 No. 1 (2023): October 2023
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/jid.v2i1.1159

Abstract

The impact of image segmentation on the classification of lung X-ray images using Convolutional Neural Networks (CNNs) has been scrutinized in this study. The dataset used in this research comprises 150 lung X-ray images, distributed as 78 for training, 30 for validation, and 42 for testing. Initially, image data undergoes preprocessing to enhance image quality, employing adaptive histogram equalization to augment contrast and enhance image details. The evaluation of segmentation's influence is based on a comparison between image classification with and without the segmentation process. Segmentation involves the delineation of lung regions through techniques like thresholding, accompanied by various morphological operations such as hole filling, area opening, and labeling. The image classification process employs a CNN featuring 5 convolution layers, the Adam optimizer, and a training period of 30 epochs. The results of this study indicate that the X-ray image dataset achieved a classification accuracy of 59.52% in network testing without segmentation. In contrast, when segmentation was applied to the X-ray image dataset, the accuracy significantly improved to 73.81%. This underscores the segmentation process's ability to enhance network performance, as it simplifies the classification of segmented image patterns.
Co-Authors Agustina Widayati Ahmad Efendi Ahmad Fadillah Ahmad Izzuddin Ahmad Rifan Syah Ali As'ad Ali Masykur Ibrahim Andrik Sunyoto Arofatul Isnaini Ary Analisa Rahma Berli Wahyu Ramadhan Diana Mulya Dewi Dyah Ariyanti Dyah Ariyanti 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 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