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Contact Name
Dodi Siregar
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dodi.729ar@gmail.com
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+6281361223297
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jurnal.jitekh@gmail.com
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Unit Publikasi Jurnal (UPJ) Universitas Harapan Medan Jl. Imam Bonjol No. 35 Medan eMail: jurnal.jitekh@gmail.com
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INDONESIA
JiTEKH (Jurnal Ilmiah Teknologi Harapan)
ISSN : 23385677     EISSN : 25496646     DOI : 10.35447
JITEKH merupakan jurnal ilmiah yang menyajikan artikel orisinal tentang pengetahuan dan informasi riset atau aplikasi riset dan pengembangan terkini dalam bidang keteknikan dan teknologi informasi. Ruang lingkup Jurnal JITEKH meliputi bidang Informatika, Teknik Mesin, Teknik Elektro, Sistem Informasi, Teknik Industri dan Teknik Sipil. Focus and Scope: Design Manufacture Konversi Energi Material Data analysis Natural Language Processing Artificial Intelligence Neural Networks Pattern Recognition Image Processing Genetic Algorithm Bioinformatics/Biomedical Applications Biometrical Application Content-Based Multimedia Retrievals Augmented Reality Virtual Reality Information System Game Mobile Data mining Artificial Intelligence Sistem Pendukung Keputusan IT Bussiness Incubation IT Governance Cloud Computing Dessision Support System Instrumentation and Control Electrical (Power) Electronics Engineering Industrial Engineering Optimasi Sistem Produksi Perencanaan Produksi dan Pengendalian Persediaan Penjadwalan dan Manajemen Operasi/Proyek Computer-Integrated Manufacturing System Sustainable Product Design and Manufacturing Penelitian Operasional dan Decision-Making Model Manajemen Teknologi Pengukuran Kerja, Faktor-Faktor Manusia dan Ergonomi Rekayasa dan Pengendalian Kualitas Sistem Logistik dan Supply Chain Management Perancangan dan Pengembangan Produk Concurrent Engineering Analisis Ekonomi Teknik Pemodelan Sistem dan Analisis Simulasi Perancangan Layout Fasilitas Knowledge Management Reliability and Maintenance Engineering Sistem dan Teknologi Informasi Rekayasa Pelayanan (Service Engineering) Technopreneurship dan Inovasi Aplikasi Model Stokastik dalam Teknik Industri Aplikasi Metode Metaheuristik dalam Teknik Industri Building Materials and Structures Constructions Technology Constructions Economy and Management Earthquake Engineering Environmental Engineering Renovation of Buildings Geotechnical Engineering Highway Engineering Hydraulic and Hydraulic Structures Road and Bridge Engineering Structural Engineering Surveying and Geo-Spatial Engineering Transportation Engineering Tunnel Engineering Urban Engineering and Economy Water Resources Engineering Urban Drainage
Articles 8 Documents
Search results for , issue "Vol 11 No 2 (2023): September 2023" : 8 Documents clear
Mengoptimalkan Pencegahan Serangan Brute Force pada Linux melalui Penerapan Metode Aplikasi IDS Snort Dody Hidayat; Ramli Ramli
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.764

Abstract

Network security system on the server is an important factor to ensure the stability, integrity and validity of data. Implementation of Snort-based Intrusion Detection System can save software procurement costs because it is free and reliable enough to detect security attacks. Snort-based IDS system can be implemented on Linux operating system. An attack may or may not be detected by Snort IDS depending on the presence or absence of appropriate rules. The testing process used is a port scanning attack technique, brute force attack technique, and hacker IP address blocking. The port scanning attack technique can generate important information about a network and can detect open ports, including port 22, which is the secure shell. The brute force attack technique can generate illegal username and password combinations on the server system. IDS snort can detect incoming attacks on the server system, then IDS snort can detect the IP address that is trying to hack the server system. Ensure data on the server system is secure by allowing the administrator to track any hacker activity.
Model Klasifikasi Data Mining Sebagai Pertimbangan Pemilihan Peminatan Departemen untuk On Job Training (OJT) di Hotel Dedi Joko Purnomo; Izza Ulumuddin Ahmad Asshofi; Cindy Citya Dima; Prima Setia Judha Pranatha
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.774

Abstract

Determining the choice of the department in the implementation of On Job Training (OJT) for students is always based on the needs and requests of the hotel or manually dividing the number of students who will carry out Job Training with the operational department in the hotel. Selection is often not in accordance with the potential of student expertise that has been achieved academically. Student academic data is often only archived, there is no utilization and efficient processing to obtain patterns, or habits that can be found as material for analysis in higher education institutions to improve the quality of students and campuses. To overcome the existing problems, the Udinus hospitality management study program utilizes student academic data to help determine department choices in the implementation of job training. The method used in this study is uses the Data Mining Classification Algorithm, namely Algorithm C4.5. The purpose of this research is to find out that the classification model created using the C4.5 Algorithm decision tree model can assist Study Programs in considering the selection of majors for student Job Training. This research is included in experimental research that uses data from students by carrying out the stages of classification methods such as literature review, data collection, data selection, data processing, and data testing. The result achieved is the application of the decision tree algorithm rule C4.5 by using data on student scores that can be used to assist in determining the selection of majors in the implementation of Job Training. The test results using the decision tree C4.5 algorithm obtained good results with an accuracy of up to 94.44% with a ratio of 80% training data and 20% test data, the ratio of the number of training data can affect the accuracy of values ​​in each experiment.
Signifikansi Pengaruh Akses Teknologi Informasi terhadap Indeks Pembangunan Manusia di Indonesia Andriyan Rizki Jatmiko; Nofrian Deny Hendrawan; Rizza Muhammad Arief; Firnanda Al Islama Achyunda Putra; Mochammad Daffa Putra Karyudi
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.780

Abstract

Human Development Index is an indicator of the progress of a country, Information Technology is an important supporter to measure the Human Development Index. This research can provide an overview to measure the progress of a country in terms of access to Information Technology. This study processed secondary data provided by the Central Statistics Agency from 2017-2019. Using K-Means and K-Medoids clustering methods. K-Means is a popular non-hierarchical grouping method that groups objects by distance to a central point, aiming to maximize similarity within groups. K-Medoids is a powerful algorithm that handles outliers using techniques such as CLARA and PAM. In 2017 with an average of 0, Gorontalo 294611827 was a low cluster while in 2018 and 2019 Gorontalo entered a medium cluster with an average of 0.349570215 and 0.394531648. Similar to Central Sulawesi, in 2017 with an average of 0.275848883 Central Sulawesi was included in the low cluster while in 2018 and 2019 Central Sulawesi entered the medium cluster with an average of 0.291938731 and 0.334276807 From this result, it can be ascertained, by increasing knowledge in Information Technology, the HDI in an area can increase as well.
Pemodelan Sistem Persediaan Menggunakan Pendekatan Sistem Dinamik Tubagus Evan Zulfikar; Supriyadi Supriyadi; Rosihin Rosihin; Ahmad Nalhadi
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.783

Abstract

Kondisi bisnis yang tidak menentu dapat berdampak pada permasalahan terkait dengan permintaan dan persediaan. Tingkat persediaan yang kurang baik berdampak pada permasalahan kekurangan maupun persediaan. Penelitian ini bertujuan mensimulasikan tingkat persediaan suatu distributor berdasarkan estimasi tingkat permintaan yang terjadi. Penelitian ini menggunakan model simulasi program dinamik dengan bantuan tools Powersim 10. Hasil pemodelan dinyatakan valid apabila titik validasi AME kurang dari 30% dan dinyatakan menyerupai bila titik validasi AME kurang dari 10% Hasil simulasi menunjukkan pemodelan pada stok gudang mendapatkan nilai validasi 3,37 dan tingkat permintaan sebesar 2,02 yang yang menyatakan model data dikatakan valid. Hasil pengujian menunjukkan hasil simulasi memberikan sistem prediksi lebih baik dibandingkan dengan menggunakan metode moving average.
Analisis Pengaplikasian Linear Congruential Generator (LCG) pada mode Cipher Block Chaining (CBC) Advanced Encryption Standard (AES) Manovri Yeni; Rosyidah Siregar; Tommy Tommy
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.795

Abstract

The use of the Linear Congruential Generator (LCG) as a part of the Cipher Block Chaining (CBC) method in the Advanced Encryption Standard (AES) has been a focus of international research to enhance data security. In this experiment, chi-square analysis and entropy analysis are employed to evaluate the effectiveness of applying LCG to CBC-AES compared to conventional CBC-AES. The chi-square analysis indicates the highest improvement of 15.1098 and the lowest decrease of -10.4293. This improvement reflects an enhancement in the probability distribution of encrypted data, approaching a random distribution, and indicates a reduced likelihood of statistical attacks on the encrypted data. Meanwhile, the entropy analysis shows the highest increase of 0.3562 and the lowest decrease of -0.0942. This increase suggests that data encrypted using this method becomes more difficult to predict or analyze by unauthorized parties, increasing the unpredictability of the encrypted data. The research results demonstrate a significant improvement in data security, with a 3.65% increase in chi-square analysis, indicating a more even probability distribution of data, and a 0.066% increase in entropy analysis, indicating higher unpredictability in encrypted data. These findings are promising and indicate the potential of LCG in enhancing cryptographic system security, although further research is needed for validation and optimization of this method in the context of information security.
Sistem Pakar Diagnosis Awal Tingkat Stres pada Korban Bullying dengan Metode Forward Chaining Berbasis Web Sheila Safira; Abdul Halim Hasugian; Heri Santoso
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.799

Abstract

Abstrak−Tindakan melecehkan orang lain melalui penggunaan teknologi informasi dan komunikasi seperti media sosial, ponsel, dan video dikenal sebagai bullying. Bullying adalah perilaku agresif. Bullying dapat berdampak kepada gangguan psikologis seperti stres. Dalam ilmu psikologi, mengukur tingkat stres seseorang merupakan salah satu cara penerapan sistem pakar. Penelitian ini menggunakan metode forward chaining. Forward chaining adalah metode yang menarik kesimpulan dari data atau fakta. Forward chaining dimulai dengan informasi yang sudah ada dan menggunakan aturan untuk membuat kesimpulan untuk mendapatkan lebih banyak informasi sampai tujuan tercapai.data dikumpulkan dengan teknik kuesioner yang menghasilkan 40 poin aspek penilaian. Hasil penelitian menunjukkan perilaku bullying memiliki hubungan signifikan pada tingkst stres seseorang yang dapat mempengaruhi psikologis. Semakin berat gejala yg didapat semakin tinggi tingkat stress yang dialami. Kata Kunci: Perilaku bullying, Stress, Psikologis, Forward chaining Abstract− The act of harassing other people through the use of information and communication technologies such as social media, cell phones and videos is known as bullying. Bullying is aggressive behavior. Bullying can have an impact on psychological disorders such as stress. In psychology, measuring a person's stress level is one way of implementing an expert system. This research uses the forward chaining method. Forward chaining is a method that draws conclusions from data or facts. Forward chaining starts with existing information and uses rules to make conclusions to get more information until the goal is achieved. Data is collected using a questionnaire technique which produces 40 points of assessment aspects. The results showed that bullying behavior has a significant relationship to a person's stress level which can affect psychologically. The more severe the symptoms are, the higher the level of stress experienced. Keywords: Bullying behavior, Stress, Psychological, Forward chaining
Analisis dan Uji Korelasi Tingkat Kebisingan Lalu Lintas: Ruas Jalan Bundaran Waru Kota Surabaya Mohammad Maghfur Ali; Dian Majid
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.803

Abstract

Abstract−This study aims to analyze noise levels and provide recommendations for noise control. Noise tests were conducted using a sound level meter, in accordance with the SNI 8427-2017 standard, at three sampling points. Data analysis covered vehicle volume (in emp), average noise levels (Ls), correlation tests, and control recommendations. Data processing was carried out using Microsoft Excel, SPSS (25), and Sketchup software. The results showed that the highest vehicle volume reached 2,090 vehicles per hour with a composition percentage of motorcycles (MC) at 69.3%, light vehicles (LV) at 56.2%, and heavy vehicles (HV) at 9.4%, in line with the emp values of MKJI (1997). The noise level (Ls) reached a fairly high level, hitting 72.5 dB. There is a moderate to very strong relationship between vehicle volume and noise levels (with correlation values ranging from 0.450 to 0.874). To control the noise, it is suggested to add vegetation barriers such as Acacia trees and Sebe shrubs, which can enhance the effectiveness of existing barriers in reducing noise to below the quality standard as per the Minister of Environment Regulation No. 48 of 1996 for residential and commercial areas
Kajian Parameter 3D Printing Terhadap Ketangguhan Material dan Kualitas Permukaan Menggunakan Metode Taguchi Muhammad Arifin
JITEKH Vol 11 No 2 (2023): September 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v11i2.816

Abstract

3D Printing Fused Deposition Modeling (FDM) is the printing of thermoplastic material layer by layer to form a three-dimensional product in which the adhesion between layers must be well controlled to obtain high mechanical performance and product integrity. The research aims to investigate the influence of the nozzle temperature, table temperature, and filling model on the mechanical strength and surface quality of the product. The PLA filament used in this study, the experimental data capture design using the Taguchi L9 with factor and level (2)4 two nozzle temperature parameters, two model infill parameters, two print speed parameters, and printer table temperature. The durability and quality of the product are the focus of this compilation, and data analysis using robust statistical methods of S/N Ratio design. The relationship of rigidity to mechanical force is also discussed. The temperature of the nozzle becomes a major influence on the firmness of the product for the surface hardness which is a big influence not of the temperature but of the model of the infill

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