Article Per Year (5 Year)
p-Index From 2021 - 2026
2.307
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) OPSI JUITA : Jurnal Informatika Scientific Journal of Informatics JAIS (Journal of Applied Intelligent System) Briliant: Jurnal Riset dan Konseptual Journal of Development Research Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Creative Information Technology Journal Jurnal INSYPRO (Information System and Processing) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri JOURNAL OF APPLIED INFORMATICS AND COMPUTING ILKOM Jurnal Ilmiah Building of Informatics, Technology and Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Industri Terintegrasi (JUTIN) Community Empowerment Jurnal Teknologi Informasi Cyberku Jurnal Algoritma Jurnal Riptek
Heru Agus Santoso
Universitas Dian Nuswantoro
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Transportation

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 29 Documents
Search

 1   2   3 
Classification of Banana Maturity Levels Based on Skin Image with HSI Color Space Transformation Features Using the K-NN Method Adhe Irham Thoriq; Muhamad Haris Zuhri; Purwanto Purwanto; Pujiono Pujiono; Heru Agus Santoso
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.200

Abstract

Banana or Musa Paradisiaca is one type of fruit that is often found in Southeast Asia. The most popular is the Raja banana (Musa paradisiaca L.). The advantage of the plantain is that it has a fragrant aroma and is of medium size and has a very sweet taste that is appetizing when it is fully ripe. While the drawback of plantains is that they ripen quickly, if not handled properly, it can change the nutritional value and nutrients contained in plantains. In this study, the author focuses on identifying the level of ripeness of bananas using the image of a plantain fruit that is still intact and its skin. Processing of the image of the plantain fruit using HSI (Hue Saturation Intensity) color space transformation feature extraction. The tool used to extract the HSI (Hue Saturation Intensity) color space transformation feature is Matlab. The attribute values obtained from the extraction are the Red, Green, Blue values obtained from the RGB values. Hue, saturation and intensity attributes were obtained from HSI extraction. Classification of the level of ripeness of plantain fruit is done with the help of the rapidminer tool. The method used is K-NN. The results obtained from this test are the accuracy value of 91.33% with a standard deviation value of+/- 4.52% with a value of k=4. The RMSE value obtained is 0.276.
Advanced Encryption Standard (AES) 128 Bit untuk Keamanan Data Internet of Things (IoT) Tanaman Hidroponik Roiya Ravida; Heru Agus Santoso
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.159 KB) | DOI: 10.29207/resti.v4i6.2478

Abstract

One method of growing vegetables is to use hydroponics by utilizing water as the medium used. In this era of rapidly developing technology, one of which is Internet of Things (IoT) is a system between computers or objects that can connect and exchange data without requiring interaction, because the data sent is public data, a security system is needed to secure the data sent. Advanced Encryption Standard (AES) 128 bits are used to secure data sent by users or data received by users, using a private key so that data security is maintained. The process of encryption and decryption was carried out through the website using an Arduino Uno microcontroller, SoC version ESP 8266. To adjust the rules for controlling plant needs such as Total Dissolve Solid (TDS), Potential Hydrogen (PH), temperature, and distance, this study uses Sensor2. Database in the research used to facilitate computerized access to assist the process of caring for IoT-based hydroponic plants. The final results have been tested in the encryption decryption process, Avalanche Effect (AE), entropy and Bit Error Ratio (BER). The AE yield 58.01% as highest score, the highest entropy was 6.3566 while all data resulted in BER = 0.
OPTIMASI K-MEANS CLUSTERING UNTUK IDENTIFIKASI DAERAH ENDEMIK PENYAKIT MENULAR DENGAN ALGORITMA PARTICLE SWARM OPTIMIZATION DI KOTA SEMARANG Suhardi Rustam; Heru Agus Santoso; Catur Supriyanto
ILKOM Jurnal Ilmiah Vol 10, No 3 (2018)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v10i3.342.251-259

Abstract

Tropical regions is a region endemic to various infectious diseases. At the same time an area of high potential for the presence of infectious diseases. Infectious diseases still a major public health problem in Indonesia. Identification of endemic areas of infectious diseases is an important issue in the field of health, the average level of patients with physical disabilities and death are sourced from infectious diseases. Data Mining in its development into one of the main trends in the processing of the data. Data Mining could effectively identify the endemic regions of hubunngan between variables. K-means algorithm klustering used to classify the endemic areas so that the identification of endemic infectious diseases can be achieved with the level of validation that the maximum in the clustering. The use of optimization to identify the endemic areas of infectious diseases combines k-means clustering algorithm with optimization particle swarm optimization ( PSO ). the results of the experiment are endemic to the k-means algorithm with iteration =10, the K-Fold =2 has Index davies bauldin = 0.169 and k-means algorithm with PSO, iteration = 10, the K-Fold = 5, index davies bouldin = 0.113. k-fold = 5 has better performance.
A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform Eko Hari Rachmawanto; Heru Agus Santoso
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i1.1132

Abstract

Non-blind watermarking is a form of watermarking with a watermark image validation process that requires a host image. The use of the transform domain is more robust and imperceptible. The transform domain method is resistant to various forms of digital image attacks. In this study, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) were selected as watermark insertion algorithms. DCT is faster and more resistant to attacks, especially in image compression attacks, but has lower imperceptibility than DWT. DWT is also known to be resistant to noise attacks, filtering, blurring, cropping, and has high imperceptibility depending on the sub-band selection but is not resistant to image compression attacks. Based on each algorithm's advantages and disadvantages, there is an opportunity to combine it to analyze and compare the insertion results with DCT and DWT itself. To test the results of imperceptibility, we used the Peak Signal to Noise Ratio (PSNR), while to test the robustness, we used Cross-Correlation (CC) and Bit Error Ratio (BER). Without attacks, the PSNR on the proposed method can reach 71 dB. The CC value without attack can reach a perfect value of 1 and BER = 0. The highest attack test result is CC = 1 on the filtering attack. From the various tests we have conducted, it has been proven that the DCT-DWT is more imperceptive and robust than previous studies
The Development of Berbakti: Elder Caring Mobile Application in Indonesia Septian Enggar Sukmana; Heru Agus Santoso; Fahri Firdausillah; Adhitya Nugraha; Farah Zakiyah Rahmanti; Arkav Juliandri
Journal of Applied Informatics and Computing Vol 3 No 2 (2019): Desember 2019
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.047 KB) | DOI: 10.30871/jaic.v3i2.1501

Abstract

Children must care their parent as their devotion to their parent. In Indonesia, that kind condition is a common situation. But, to handling this situation in this global era is more difficult because many children choose going to another city or another region to do some activity like taking a job or going to college. It gives an impact to their parent especially when their parent is too old and needs to be cared. This motivation in this paper is based on this kind problem. The development of application uses Waterfall. The system must meet the requirement so not just technichal development is performed, social study must be conducted in the process. We use several testings such blackbox testing, server testing, and usefulness identity. Commonly, we got unsatisfied result based on testing, so some repairement must be conducted.
ANALISIS DAN PERANCANGAN MODEL FUZZY UNTUK SISTEM PAKAR PENDETEKSI TINGKAT KESUBURAN TANAH DAN JENIS TANAMAN Amiril Mukminin; Heru Agus Santoso; Catur Supriyanto
Jurnal Teknologi Informasi - Cyberku (JTIC) Vol 13 No 1 (2017): Jurnal Teknologi Informasi CyberKU Vol. 13, no 1
Publisher : Program Pascasarjana Magister Teknik Informatika, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (266.296 KB)

Abstract

Tillage that is not appropriate to the characteristics of plant type can easily causethe plants to wilt and plant growth is not maximal. These factors areoften the main cause of crop failure that is not known by the farmers. Therefore, an expert system is designed to detectthe soil fertility for types of plant using the fuzzy logic, which is expected to help the farmers in choosing the right types of plant with an appropriate of certain level of soil fertility. The measurement results obtained have been appropriate with the calculations and criteria of the land that has been entered.
KLASIFIKASI DATA TIME SERIES ARUS LALU LINTAS JANGKA PENDEK MENGGUNAKAN ALGORITMA ADABOOST DENGAN RANDOM FOREST Ahmad Rofiqul Muslikh; Heru Agus Santoso; Aris Marjuni
Jurnal Teknologi Informasi - Cyberku (JTIC) Vol 14 No 1 (2018): Jurnal Teknologi Informasi CyberKU Vol.14 no 1 2018
Publisher : Program Pascasarjana Magister Teknik Informatika, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.878 KB)

Abstract

Data traffic in Indonesia is used for management control traffic flow, while the data on get results from the survey will be undertaken directly localized, the survey will be undertaken are less effective, and the data obtained from the survey results were used as a reference in control traffic flow, and therefore to obtain the data traffic flow more effective in need of a new approach that can classified and predict the data in the can with higher accuracy, so that density and congestion can be predicted earlier. In this study used the approach of using Adaboost and Random Forest algorithms to classification and predict the survey data that are time series, the results of testing for prediction using Adaboost with Random Forest With Confusion Matrix as a measuring accuracy rate of 87,8%, and the rate of error in getting at 0 , 0629. On the results using Adaboost with a Random Forest approach proved to be more efficient in predicting the survey data rather than simply relying on the original data to predict traffic flow
METODE FASTICA UNTUK REDUKSI DATA DIMENSI TINGGI PADA ANALISIS SENTIMEN PARIWISATA KOTA SEMARANG MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Mochamad Amry Assiva; Heru Agus Santoso; Catur Supriyanto
Jurnal Teknologi Informasi - Cyberku (JTIC) Vol 15 No 1 (2019): Jurnal Teknologi Informasi CyberKU Vol. 15, no 1
Publisher : Program Pascasarjana Magister Teknik Informatika, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.402 KB)

Abstract

Some communities have a voice attractions via Twitter. The opinion can be used as sentiment analysis to determine the ratings of a tourist attraction. Results of sentiment analysis is expected to assist in the improvement and evaluation of the attraction. In related research sentiment analysis previously used linear dimension reduction method, but has the disadvantage produce a linear combination of all the features that will have difficulty if dealing with data that is non-linear. Therefore, in this study used methods of non-linear dimension reduction, namely FastICA in order to improve the accuracy of Support Vector Machine classifier that can handle high-dimensional and non-linear data. This study uses the Indonesian language text contained on the social networking site Twitter. Validation is done by using a 10-Fold Cross Validation. While the measurement accuracy is measured by the Confusion Matrix and ROC curves. Results application of dimension reduction FastICA gain accuracy of 92.90% and the AUC 0.9157 which means the accuracy of 0.95% better than on Support Vector Machine itself, is proven to increase the accuracy of the SVM algorithm on the non-linier tweet data of attractions in the city of Semarang that can be classified by both in positive and negative class.
Performance Comparison of Convolutional Neural Network and MobileNetV2 for Chili Diseases Classification Achmad Naila Muna Ramadhani; Galuh Wilujeng Saraswati; Rama Tri Agung; Heru Agus Santoso
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 4 (2023): August 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i4.5028

Abstract

Chili is an important agricultural commodity in Indonesia and plays an significant role in the economic growth of the country. Its demand from households and industries reaches up to 61%. However, this high demand also means that monitoring efforts must be intensified, particularly for chili plant diseases that can greatly impact yields. If these diseases are not addressed promptly, they can lead to a decrease in production levels, which can negatively affect the economy. With technological advancements, automatic monitoring using image processing is now highly feasible, making monitoring more efficient and effective. Common chili plant diseases include chili leaf yellowing disease, chili leaf curling disease, cercospora leaf spots, and magnesium deficiency with symptoms that can be observed through the shape and color of the leaves. This research aims to classify chili plant diseases by comparing the CNN algorithm and the pre-trained MobileNetV2 based model performance using the Confussion Matrix. The study shows that the MobileNetV2 model, trained with a learning rate of 0.001, produces a more optimal model with an accuracy of 90% and based on the calculation of the confusion matrix, the average percentage values for recall, precision, and F1 score are 92%. These findings highlight the potential.
Design and manufacturing optimization of herbal drink crystallization machine using reverse engineering method Santoso, Heru Agus; Islahudin, Nur; Wijaya, Dewa Kusuma
OPSI Vol 16, No 2 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i2.11335

Abstract

This article explains the design and manufacture of a herbal drink powder crystallization machine at Menik Jaya MSMEs. The problem with this research stems from the large number of defective products produced in the form of herbal powder that is burnt and lumpy. This is because production staff still manually stir the process continuously without stopping, causing fatigue due to work and impacting the quality of the process. So that the optimal design and manufacture of the crystallization machine is obtained where the dimensions of the machine are 130 cm high, 100 cm long and wide, machine legs height is 62 cm, stove height is 87 cm from the base and the stove pan handle width is 12 cm. Regarding engine performance, the ideal electric capacity of the motor is 60 watts with a stirrer and pan made from a combination of wood and AISI 3195 stainless steel. The pully uses 2 types of sizes, if the volume of raw material is small then a 4 cm pully is used with 10 Rpm rotation speed and 0,052 Nm torque value, while for large volumes a 6 cm pully is used with 15 Rpm rotation speed and 0,038 Nm torque value.
Co-Authors Achmad Naila Muna Ramadhani Achmad Zaki Adhe Irham Thoriq Adhitya Nugraha Adhitya Nugraha Akbar Aji Nugroho Akhmad Pandhu Wijaya, Akhmad Pandhu Alfani, Wahyu Amiril Mukminin Arga Dwi Pambudi Arkav Juliandri Arkav Juliandri Assiva, Mochamad Amry Atanasius Marcello Aziz, Halim Al Catur Supriyanto Catur Supriyanto Catur Supriyanto De Rosal Ignatius Moses Setiadi Dewa Kusuma Wijaya Eko Hari Rachmawanto Fahri Firdausillah Farah Zakiyah Rahmanti Herwin Suprijono Heryanto, M Ary Hidayati, Ulfa Jeffry, Muhammad Kusmiyati Kusmiyati Luh Putu Ratna Sundari Muchti, Muhammad Agusdika Ridho Muhamad Haris Zuhri Muslikh, Ahmad Rofiqul Nur Islahudin Pujiono Pujiono Purwanto Purwanto Rahadian, Helmy Rama Tri Agung Ratih Setyaningrum Rifki, Ahmad Muhson Rizaldy, Adhy Roiya Ravida Ruri Suko Basuki Rustam, Suhardi Santi, Dian Nirmala Saraswati, Galuh Wilujeng Septian Enggar Sukmana Setiadi, Kristoforus Adrian Setyadhi Putra Deriyanto Suhardi Rustam Tamami, Aries Jehan Tjetjep Witjahjono Wijaya, Dewa Kusuma Wijaya, S.T, M.Sc, A.MP, Dewa Kusuma Wiradinata, Halim Jayakusuma Yanimaharta, Arya Zaenal Arifin