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Jurnal Ilmiah Teknik (JUIT)
Published by Asosiasi Dosen Muda Indonesia
ISSN : 28286936     EISSN : 28286901     DOI : https://doi.org/10.56127/juit.v1i1
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
Jurnal Ilmiah Teknik adalah jurnal yang ditujukan untuk publikasi artikel ilmiah yang diterbitkan oleh Asosiasi Dosen Muda Indonesia dan di payungi Oleh Yayasan Dosen Muda Indonesia. Jurnal ini adalah jurnal Ilmu Teknik yang bersifat peer-review dan terbuka. Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu Teknik Mesin, Elektro, Kimia, Sipil, Metalurgi dan Teknik Industri. Jurnal Ilmu Teknik menerima artikel dalam bahasa Inggris dan bahasa Indonesia dan diterbitkan 3 kali setahun: Januari, Mei, September.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 114 Documents
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VISUALISASI METODE PELAKSANAAN PEKERJAAN PELAT RAMP PROYEK PEMBANGUNAN GEDUNG WAREHOUSE DEPOK Tati Noviati
Jurnal Ilmiah Teknik Vol. 3 No. 2 (2024): Mei : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v3i2.1582

Abstract

The Project of Depok Warehouse Building Construction is located at JL. Raya Jakarta-Bogor, KM. 35, Jatijajar, Depok City, West Java, 16415. The project of Depok Warehouse Building is built on a land area of 38,000 m2, with a building area of 24,000 m2. The Depok Warehouse Building has 8 floors, consisting of 5 floors for the building area and 3 mezzanine floors used for offices. PT. Depok Logistik Properti is the owner of the project, PT. Trimatra Jasa Prakarsa as the construction management, PT. Gistama Intisemesta as the planning consultant, and PT. Total Persada Indonesia as the main contractor. The type of contract used is a lump sum with a contract value of Rp 350,000,000,000. The planned duration of the Warehouse Building Construction project is 670 days. Research made on the field include upper structure works such as column, beam, floor slab, and ramp slab. The stages of the implementation method for the ramp Truck Plate Work start from preparation, marking, reinforcement fabrication, reinforcement installation, concrete decking installation, reinforcement checklist, formwork installation, verticality test, casting, formwork removal, and concrete curing.
PREDIKSI PRODUKSI DAGING SAPI DI INDONESIA MENGGUNAKAN RANDOM FOREST REGRESSION: ANALISIS DATA 2018-2025 Nurdiyanto Yusuf
Jurnal Ilmiah Teknik Vol. 3 No. 2 (2024): Mei : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v3i2.1620

Abstract

Produksi daging sapi merupakan salah satu komponen penting dalam memenuhi kebutuhan protein hewani di Indonesia. Namun, distribusi dan tingkat produksi yang tidak merata di berbagai provinsi menimbulkan tantangan dalam pengelolaan dan perencanaan yang efektif. Penelitian ini bertujuan untuk memprediksi produksi daging sapi di Indonesia untuk tahun 2024 dan 2025 dengan menggunakan model prediksi berbasis Random Forest Regression, yang memanfaatkan data produksi historis dari tahun 2018 hingga 2023. Metode yang digunakan melibatkan pengumpulan data produksi daging sapi dari berbagai provinsi di Indonesia, diikuti dengan preprocessing data dan pembangunan model prediksi menggunakan algoritma Random Forest. Evaluasi model dilakukan dengan menggunakan metrik Mean Squared Error (MSE) dan R-squared (R²) untuk menilai akurasi dan kemampuan model dalam menjelaskan variabilitas data. Hasil penelitian menunjukkan bahwa model Random Forest memiliki kinerja yang sangat baik dengan nilai R-squared sebesar 0.946, yang mengindikasikan bahwa model ini mampu menjelaskan sekitar 94.6% dari variabilitas data produksi daging sapi. Prediksi menunjukkan bahwa Jawa Timur, Jawa Barat, dan Jawa Tengah akan tetap menjadi provinsi dengan produksi daging sapi tertinggi, sementara banyak provinsi di bagian timur Indonesia akan memiliki produksi yang relatif rendah. Temuan ini dapat digunakan untuk mendukung pengambilan keputusan strategis dalam upaya meningkatkan produksi daging sapi dan mengoptimalkan distribusi di seluruh Indonesia.
IDENTIFIKASI PENGEMBANGAN FASILITAS STASIUN DAN PENGARUHNYA TERHADAP KARAKTER FASAD BANGUNAN STASIUN KERETA API KEJAKSAN CIREBON Ika Nofiyani; Dewi Astuti; Rakhmanita, Rakhmanita; Sumaiyah Fitrian Dini
Jurnal Ilmiah Teknik Vol. 3 No. 2 (2024): Mei : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v3i2.1625

Abstract

The Train Station is the main requirement needed in the procurement of train transportation modes. Currently, trains are public transportation that is very popular with the public to transport people. The architectural style of the Kejaksan Cirebon Train Station building is a blend of colonial and art deco characteristics with local architectural influences. The colonial style of influence is shown in the form of the facade or appearance of the building. This study uses a qualitative approach to analyze the development of building facilities and their influence on the character of the Kejaksan Train Station building facade as a representation of a building that has the influence of colonial architectural style and cultural heritage objects in Cirebon. The analysis was carried out by identifying the addition of facilities and facade elements in the front area, main entrance and the front of the building facing the road. The purpose of this study is to complete the architectural research of the Cirebon Station building and add to the treasury of architectural science, especially in the research of colonial architecture in station buildings.
ANALISIS INTENSITAS CURAH HUJAN DAN KURVA IDF (INTENSITY-DURATION-FREQUENCY) METODE MONONOBE DI KOTA SALATIGA Rakhmawati, Gita
Jurnal Ilmiah Teknik Vol. 3 No. 3 (2024): September : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v3i3.1641

Abstract

Extreme rainfall in Indonesia has led to natural disasters in many areas including Salatiga City. Many human activities depend on the amount of rainfall that falls on the earth's surface. In the field of civil engineering, research on rainfall is very common because many activities related to civil engineering use rainfall data such as for water resource management, drainage development, dam construction and other building construction.  This study aims to determine the amount of rainfall intensity and IDF curves in Salatiga City for return periods of 2 years, 5 years, 10 years, 25 years, 50 years and 100 years. The data used in this study is the maximum daily rainfall data collected from Salatiga Central Bureau of Statistics (BPS). The type of distribution selected in this study is the Log Pearson Type III probability distribution. The results of the analysis show that the highest rainfall intensity occurs at a short duration (5 minutes) in the 100-year return period of 106.66 mm/hour and the results of the IDF curve show that the shorter the rainfall time, the higher the rainfall intensity while the longer the rainfall time, the smaller the rainfall intensity at each return period T.
KLASIFIKASI CITRA DIGITAL TULISAN TANGAN ANGKA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Antonius Angga Kurniawan; Rama Dian Syah; Rizki Ariyani
Jurnal Ilmiah Teknik Vol. 1 No. 1 (2022): Januari : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v1i1.1718

Abstract

Rapid technological advances have led to the development of computer vision science in various fields. This research aims to detect handwriting using deep learning technology with the Convolutional Neural Network (CNN) method. The research stages are data sample selection, data preprocessing, data training, data testing, and evaluation of results. This research succeeded in detecting handwriting with an accuracy value of 0.9800 and a loss value of 0.0665. There are several classification errors because images with numbers are less clear and almost look like numbers that they should not be. The more training data, the more the network will learn so that the accuracy will be better.
APLIKASI ENKRIPSI CITRA DIGITAL BERBASIS CHAOS MENGGUNAKAN ALGORITMA ARNOLD’S CAT MAP Rama Dian Syah; Antonius Angga Kurniawan; Rizki Ariyani
Jurnal Ilmiah Teknik Vol. 1 No. 2 (2022): Mei : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v1i2.1719

Abstract

The rapid development of technology can lead to vulnerabilities in data and information. Everyone can access that data and information and disseminate it easily through the internet. The data and information can be in the form of text, video, audio, and images that may be confidential. To prevent misuse and unauthorized access to this confidential data and information, a technique is needed to enhance the security of the data. One of these techniques is by encrypting data. This technique is used to encode data in such a way that the security of the information is maintained and it cannot be read without being decrypted first. The encryption technique that has been developed involves implementing chaos theory, one of which uses the Arnold’s Cat Map algorithm. This algorithm is applied in the process of encrypting and decrypting digital images with png and bmp extensions. The results of this trial show that the image files can be encrypted and decrypted properly. The time obtained is directly proportional to the size of the image.
HAKIKAT DAN FILSAFAT ILMU KRIPTOGRAFI Rizki Ariyani
Jurnal Ilmiah Teknik Vol. 1 No. 1 (2022): Januari : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v1i1.1725

Abstract

The foundation of a science is a fundamental thing that must be known. The essence of a science is the foundation of that science. The essence and philosophy are interconnected in knowledge, so in a science, the origins of the development of knowledge can be understood. The science that is currently developing is certainly driven by the nature and philosophy of that science, which serves as the basis for research development. Cryptography is one of the sciences developed based on mathematics applied to the security of communication. Cryptography currently encompasses the security of communication in information technology. The discussion of this research is about the thoughts and opinions from the literature related to the nature and philosophy of cryptography, its history, development, and its application as security in information technology.
BASIS DATA APACHE CASSANDRA SEBAGAI MEDIA PENYIMPANAN DATA SENSOR DAN BACKEND INTERNET OF THINGS (IOT) Rizki Ariyani
Jurnal Ilmiah Teknik Vol. 1 No. 2 (2022): Mei : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v1i2.1726

Abstract

Millions of data at every meeting are questioned through social media, application websites, mobile applications, and internet usage that uses objects around us to be able to interact with each other known as the Internet of Things (IoT). IoT requires a database with very high performance and a high level of availability. NoSQL is one database that can store diverse data. Currently there are many NoSQL databases with different implementation and storage characteristics. This brings challenges in the selection of NoSQL databases used as IoT data storage media. In several studies that have been carried out by several researchers who use IoT data storage media using the Apache Cassandra NoSQL Database. The results of literature studies and literature reviews show that Cassandra is the best apache that can be used as a data storage sensor, and backend Internet of Things (IoT).
LITERATURE REVIEW INFORMATION EXTRACTION PADA TEKS BIOMEDICAL DENGAN PENDEKATAN MACHINE LEARNING DAN NAMED ENTITY RECOGNITION Rizki Ariyani
Jurnal Ilmiah Teknik Vol. 2 No. 1 (2023): Januari : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v2i1.1727

Abstract

Extraction of information or information extraction is a field of science for natural language processing, by converting unstructured into information in a structured form. Information that is useful and requires data that can be used as a reference in making decisions. Machine Learning Algorithms have been used to build basic classification models to identify pediatrics in biomedical texts and have been developed to provide more accurate information. Named Entity Recognition (NER) is useful to help identify and identify a word. The biomedical field has a lot of literature so that NER is highly demanded in the biomedical domain. Biomedical texts are not homogeneous. Medical notes or records written differently from scientific articles, sequence annotations, or other recent public health. Various methods in biomedicine can be recognized, the meaning of which has been developed using machine learning. This study discusses previous research on NER in the biomedical sector.
STATE OF THE ART FRAUD DETECTION PADA KARTU KREDIT DENGAN MENGGUNAKAN PENDEKATAN ALGORITMA DAN TEKNIK MACHINE LEARNING Rizki Ariyani
Jurnal Ilmiah Teknik Vol. 2 No. 2 (2023): Mei : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v2i2.1728

Abstract

This study provides an overview of fraud detection or robbery / fraud detection on credit cards using machine learning as the main technique. This review discusses some research by experts related to the theoretical foundation, advantages and disadvantages, data procedures, analysis methods, and machine learning techniques used. Before big data was widely known and used in the community, fraud detection used the meaning of text and the meaning of data to process the data. Along with the development of technology, many techniques are used in fraud detection, one of which is machine leaning. Machine learning is a branch of Artificial Intelligence that allows computers to have the ability to learn without needing to program anymore. In simple terms machine learning builds an algorithm that allows computer programs to learn and perform tasks on their own without any user features. This kind of algorithm works by building a model from the input or input to be able to produce a prediction or make a decision based on existing data. Machine learning deals with computational statistics that focus on predictions or making based on computer usage. Some of the implementations of machine learning are text analysis, image processing, finance, search and recommendation engines, speech understanding, and so on.

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