Garuda - Garba Rujukan Digital

p-Index From 2018 - 2023

7.8

P-Index

This Author published in this journals

All Journal International Journal of Electrical and Computer Engineering Jurnal Dedikasi Jurnal Gamma Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics POSITIF CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics Fountain of Informatics Journal JOIV : International Journal on Informatics Visualization Informatika Mulawarman Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control KOMPUTIKA - Jurnal Sistem Komputer Jurnal Repositor Makara Journal of Technology

Agus Eko Minarno

Universitas Muhammadiyah Malang

Author-ID : 320354

Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health

Published : 59 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

PELATIHAN PEMBUATAN DAN PERAWATAN WEBSITE BERBAHASA INGGRIS UNTUK MENINGKATKAN PENJUALAN PAKET JASA TOUR DAN TRAVEL DI KECAMATAN KARANGPLOSO MALANG Munarko, Yuda; Eko Minarno, Agus
Jurnal Dedikasi Vol 13 (2016): Mei
Publisher : Direktorat Penelitian dan Pengabdian Kepada Masyarakat

PELATIHAN PEMBUATAN DAN PERAWATAN WEBSITE BERBAHASA INGGRIS UNTUK MENINGKATKAN PENJUALAN PAKET JASA TOUR DAN TRAVEL DI KECAMATAN KARANGPLOSO MALANGYuda Munarko1 & Agus Eko Minarno21,2Teknik Informatika, Fakultas Teknik, Universitas Muhammadiyah MalangE-mail: 1) yuda.munarko@gmail.comABSTRAKJasa tour dan travel saat ini adalah jenis usaha yang sedang marak di area Malang dan sekitarnya. Hal ini disebabkan oleh besarnya pangsa pasar wisata di area Malang dan meningkatnya perekonomian masyarakat pada umumnya. Permasalahan yang ada adalah persaingan yang sangat ketat diantara pengusaha jasa tour dan travel, yang menimbulkan persaingan tidak sehat, sehingga berimbas pada penetapan harga yang rendah dan tidak kompetitif, terutama untuk wisatawan domestik. Pada kenyataannya, jumlah wisatawan mancanegara yang berkunjung ke Malang, dan kebutuhan mereka belum cukup terwadahi dengan maksimal oleh jasa tour dan travel yang ada. Oleh karena itu, untuk meningkatkan potensi pendapatan jasa tour dan travel, maka harus dijalin komunikasi yang baik dan efisien dengan calon wisatawan mancanegara. Namun masalah yang dihadapi pengusaha tour dan travel pada umumnya adalah kendala bahasa dan tidak adanya media komunikasi yang efisien. Masalah ini juga yang dihadapi oleh mitra, yakni Manavin Tour and Travel dan MH Tour and Travel. Pendampingan pembuatan dan perawatan website berbahasa Inggris diharapkan mampu untuk membantu mitra dalam mengatasi permasalahan Mitra. Website tersebut menjadi media untuk promosi layanan dan juga media komunikasi yang efektif dengan calon wisatawan mancanegara. Hasil yang didapatkan, dengan adanya website ini mitra sudah mendapatkan klien dari mancanegara yang berhubungan dengan bidang usaha jasa tour dan travel.Kata Kunci: Website, Tour, Travel

Science and Technology for Community: Improving Web Programming Skills using Laravel Framework Agus Eko Minarno; Lailis Syafa'ah; Dwi Rahayu
Jurnal Dedikasi Vol. 18 No. 1 (2021): May
Publisher : Direktorat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/dedikasi.v18i1.15590

The essence of technology is to help human work become easier, cost effective, save time more efficiently and on target. The use of technology that is studded with innovation provides real changes in every activity, including in the world of education. Even in some countries such as Australia and Hong Kong, technology has been introduced through basic programming since the age of 3 years. In Indonesia in 2016 the Minister of Communication and Information, Rudiantara, has discussed programming so that it is included in the elementary school curriculum. The introduction of technology at the elementary school level aims to prepare young people who are ready to face technology in the industrial era 4.0. This service activity is carried out in order to improve web programming capabilities using the Laravel framework. The hope is that by providing the ability to program using the Laravel framework, it can support academic education and increase employment opportunities with more capabilities.

Combined scaled manhattan distance and mean of horner’s rules for keystroke dynamic authentication Didih Rizki Chandranegara; Hardianto Wibowo; Agus Eko Minarno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14815

Account security was determined by how well the security techniques applied by the system were used. There had been many security methods that guaranteed the security of their accounts, one of which was Keystroke Dynamic Authentication. Keystroke Dynamic Authentication was an authentication technique that utilized the typing habits of a person as a security measurement tool for the user account. From several research, the average use in the Keystroke Dynamic Authentication classification is not suitable, because a user's typing speed will change over time, maybe faster or slower depending on certain conditions. So, in this research, we proposed a combination of the Scaled Manhattan Distance method and the Mean of Horner's Rules as a classification method between the user and attacker against the Keystroke Dynamic Authentication. The reason for using Mean of Horner’s Rules can adapt to changes in values over time and based on the results can improve the accuracy of the previous method.

Enabling seamless communication over several IoT messaging protocols in OpenFlow network Fauzi Dwi Setiawan Sumadi; Agus Eko Minarno; Lailis Syafa’ah; Muhammad Irfan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 5: October 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i5.20412

The most prominent protocols for data transfer in internet of things (IoT) are message queuing telemetry transport (MQTT) and constrained application protocol (CoAP). The existing clients from both sides are unable to communicate directly because of the packet’s header structure difference in application and transport layer. In response, this paper aims to develop a bidirectional conversion server used to translate the specified messaging protocol interchangeably in the OpenFlow network and transmit the converted packet from both sides. The conversion server integrated the MQTT subscriber and CoAP POST object for converting the MQTT message into CoAP data. Similarly, the CoAP-MQTT translation was processed by CoAP GET and MQTT publisher object. The research was evaluated by analysing the round trip time (RTT) value, conversion delay, and power consumption. The RTT value for MQTT-CoAP required 0.5 s while the CoAP-MQTT was accumulated in 0.1 s for single-packet transmission. In addition, the SDN controller and the conversion server only consumed less than 1% central processing unit (CPU) usage during the experiment. The result indicated that the proposed conversion server could handle the translation even though there was an overwhelming request from the clients.

PENERAPAN ALGORITMA GENETIKA MENGGUNAKAN METODE SELEKSI ROULETTE WHEEL PADA OPTIMASI PENENTUAN KOMPOSISI BAHAN PAKAN AYAM BROILER Zamani, Iqbal Fairus; Wicaksono, Galih Wasis; Minarno, Agus Eko
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 4 No 1 (2018): POSITIF : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v4i1.505

Along with many various human activity to fulfill the food nutritional in take vegetable nutrition and animal nutrition must be fulfilled. Animal nutrition is a needs that aften consumed by many people and one of those is broiler chicken. Broiler chicken is a livestuck chicken that easily produce, so there are so many broiler chicken farm that we could see in many place. But there are some problem that occur in most broiler breeders such as the composition of food ingredients and high ration costs. To fulfill the right composition of ingredients with minimum cost, researchers offer a solution by using genetic algorithm in deter mining the composition of broiler food ingredients. This aplication uses 50 ingredients of broiler chicken livestock along with nutrition. This study used roulette wheel methods. The result of this study obtained optimum parameters with population size of 400, various generation of 350 and pc 0.1 and pm 0.8 combinations of 10 times test. This result is a composition of broiler food ingredients that meet the nutritional needs with minimal cost.

Vehicle Classification using Haar Cascade Classifier Method in Traffic Surveillance System Ramadhani, Moch Ilham; Minarno, Agus Eko; Cahyono, Eko Budi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

Object detection based on digital image processing on vehicles is very important for establishing monitoring system or as alternative method to collect statistic data to make efficient traffic engineering decision. A vehicle counter program based on traffic video feed for specific type of vehicle using Haar Cascade Classifier was made as the output of this research. Firstly, Haar-like feature was used to present visual shape of vehicle, and AdaBoost machine learning algorithm was also employed to make a strong classifier by combining specific classifier into a cascade filter to quickly remove background regions of an image. At the testing section, the output was tested over 8 realistic video data and achieved high accuracy. The result was set 1 as the biggest value for recall and precision, 0.986 as the average value for recall and 0.978 as the average value for precision.

HII: Histogram Inverted Index For Fast Images Retrieval Yuda Munarko; Agus Eko Minarno
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

This work aims to improve the speed of search by creating an indexing structure in CBIR system. We utilised an inverted index structure that usually used in text retrieval with a modification. The modified inverted index is built based on histogram data that generated using Multi Texton Histogram (MTH) and Multi Texton Co-Occurrence Descriptor (MTCD) from 10,000 images of Corel dataset. When building the inverted index, we normalised value of each feature into a real number and considered pairs of feature and value that owned by a particular number of images. Based on our investigation, on MTCD histogram of 5,000 data test, we found that by considering histogram variable values which owned by maximum 12% of images, the number of comparison for each query can be reduced by 67.47% in a rate, the precision is 82.2%, and the rate of access to disk is 32.83%. Furthermore, we named our approach as Histogram Inverted Index (HII).

Image Retrieval Based on Multi Structure Co-occurrence Descriptor Agus Eko Minarno; Arrie Kurniawardhani; Fitri Bimantoro
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 3: September 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i3.3292

This study present a new technique for Batik cloth image retrieval using Micro-Structure Co-occurence Descriptor (MSCD). MSCD is a developed method based on Enhanced Micro Structure Descriptor (EMSD). Previously, EMSD has been improved by adding edge orientation feature. In previous study, EMSD cannot achieve an optimal precision. Therefore, MSCD is proposed to overcome the EMSD drawback using global feature approach, namely Gray Level Co-occurrence Matrix (GLCM). There are 300 batik cloth images which contain 50 classes used for dataset. The performance result show that MSCD can retrieve Batik cloth images more effective than EMSD.

Comparison of Methods for Batik Classification Using Multi Texton Histogram Agus Eko Minarno; Ayu Septya Maulani; Arrie Kurniawardhani; Fitri Bimantoro; Nanik Suciati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.7376

Batik is a symbol reflecting Indonesian culture which has been acknowledged by UNESCO since 2009. Batik has various motifs or patterns. Because most regions in Indonesia have their own characteristic of batik motifs, people find difficulties to recognize the variety of Batik. This study attempts to develop a system that can help people to classify Batik motifs using Multi Texton Histogram (MTH) for feature extraction. Meanwhile, k-Nearest Neighbor (k-NN) and Support Vector Machine (SVM) algorithm were employed for classification. The performance of those classifications is then compared to seek the best classification method for Batik classification. The performance is tested 300 images divided into 50 classes. The results show the optimum accuracy achieved using k-NN with k=5 and MTH with 6 textons is 82%; however, SVM and MTH with 6 textons denote 76%. According to the result, MTH as feature extraction, k-NN or SVM as a classifier can be applied on Batik image classification.

Classification of batik patterns using K-Nearest neighbor and support vector machine Agus Eko Minarno; Fauzi Dwi Setiawan Sumadi; Hardianto Wibowo; Yuda Munarko
Bulletin of Electrical Engineering and Informatics Vol 9, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

This study is proposed to compare which are the better method to classify Batik image between K-Nearest neighbor and support vector machine using minimum features of GLCM. The proposed steps are started by converting image to grayscale and extracting colour feature using four features of GLCM. The features include energy, entropy, contras, correlation and 0o, 45o, 90o, and 135o. The classifier features consist of 16 features in total. In the experimental result, there exist comparison of previous works regarding the classification KNN and SVM using multi texton histogram (MTH). The experiments are carried out in the form of calculation of accuracy with data sharing and cross-validation scenario. From the test results, the average accuracy for KNN is 78.3% and 92.3% for SVM in the cross-validation scenario. The scenario for the highest accuracy of data sharing is at 70% for KNN and at 100% for SVM. Thus, it is apparent that the application of the GLCM and SVM method for extracting and classifying batik motifs has been effective and better than previous work.

Co-Authors Abu Abbas Mansyur Achmad Fauzi Saksenata Ahmad Annas Al Hakim Ahmad Heryanto, Ahmad Akbi, Denar Regata Alfian Yuniarto Anbiya, Dhika Rizki Andhika Pranadipa Andrian Rakhmatsyah Arif Bagus Nugroho Arrie Kurniawardhani arrie kurniawardhany, arrie AULIA ARIF WARDANA Ayu Septya Maulani Bayu Yudha Purnomo Bella Dwi Mardiana Chandranegara, Didih Rizki Deris Stiawan Dwi Rahayu Dyah Ayu Irianti Eko Budi Cahyono Feny Aries Tanti Firdhansyah Abubekar Fitri Bimantoro Galang Aji Mahesa Hanung Adi Nugroho Hardianto Wibowo Hariyady Hariyady Harmanto, Dani Hazmi Cokro Mandiri, Mochammad Ibrahim, Zaidah Ilham Setiyo Kantomo Iqbal Fairus Zamani Irfan, Muhammad irma fitriani Lailis Syafa'ah Lailis Syafa’ah Linggar Bagas Saputro Moch Ilham Ramadhani Moch. Chamdani Mustaqim Mochammad Hazmi Cokro Mandiri Mochammad Hazmi Cokro Mandiri Muhammad Afif Muhammad Azhar Ridani Muhammad Hussein Muhammad Nafi Maula Hakim Muhammad Nasrul Tsalatsa Putra Muhammad Nuchfi Fadlurrahman Muhammad Rifal Alfarizy Nanik Suciati Naser Jawas, Naser Nia Dwi Nurul Safitri Prabowo, Christian Ramadhani, Moch Ilham Rangga Kurnia Putra Wiratama Ratna Sari Riksa Adenia Rizalwan Ardi Ramandita Rizka Nurlizah Sari, Zamah Setio Basuki Sumadi, Fauzi Dwi Setiawan Suryani Rachmawati Toton Dwi Antoko Trifebi Shina Sabrila Tsabitah Ayu Ulfah Nur Oktaviana Veronica Retno Sari Vizza Dwi Wahyu Andhyka Kusuma Wahyu Budi Utomo Wicaksono, Galih Wasis Wicaksono, Galih Wasis Widya Rizka Ulul Fadilah Wildan Suharso Yesicha Amilia Putri Yoga Anggi Kurniawan Yuda Munarko Yudhono Witanto Yufis Azhar Yundari, Yundari Zaidah Ibrahim Zaidah Ibrahim Zamah Sari Zamani, Iqbal Fairus

Title

Found 59 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 59 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 59 Documents
Search