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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) International Journal of Advances in Intelligent Informatics BAREKENG: Jurnal Ilmu Matematika dan Terapan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Samudra Ekonomi dan Bisnis Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Mediasosian : Jurnal Ilmu Sosial dan Administrasi Negara SEMAR IJECS: Indonesian Journal of Empowerment and Community Services Jurnal Dharma Bhakti Ekuitas Journal Competency of Business PELS (Procedia of Engineering and Life Science) Journal of Community Empowerment Journal of Transportation and Society Empowerment
Prasetyo, Heri
Department Of Informatics, Faculty Of Informatics And Data Science, Universitas Sebelas Maret, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Performing image confusion and diffusion using two dimensional triangle functional chaotic maps Prasetyo, Heri; Rosiyadi, Didi; Horng, Shi Jinn; Setiawan, Iwan; Basuki, Akbari Indra
International Journal of Advances in Intelligent Informatics Vol 7, No 2 (2021): July 2021 (Issue in Progess)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Currently, with a malicious attacker against the authorization of an image it is necessary to have a method to secure the content of the image. Therefore this paper presents a new technique for performing image confusion and diffusion using Two Dimensional Triangle Fractional Combination Discrete Chaotic Map (2D-TFCDM). The image confusion requires a set of 2D-TFCDM chaotic random numbers to relocate the pixel locations of plain or secret images. At the same time, image diffusion utilizes the chaotic numbers to modify the pixel values of confused image. The proposed method performs well in terms of visual investigation and objective quality assessment on the confused and diffused images. In addition, it offers a promising result for the grayscale and color image with simple computation, which the experiment results demonstrate that the proposed method outperforms other existing methods under several types of visual observation, correlation coefficients, entropy, UACI, NPCR.
PELAKSANAAN ANALISIS DAMPAK LALU LINTAS DI KABUPATEN TRENGGALEK (STUDI IMPLEMENTASI PERATURAN DAERAH KABUPATEN TRENGGALEK NO 18 TAHUN 2013 TENTANG ANALISIS DAMPAK LALU LINTAS DAN PRASARANA PERLENGKAPAN JALAN) Prasetyo, Heri; Pramono, Teguh; Prissando, Fendy Artha
Jurnal Mediasosian : Jurnal Ilmu Sosial dan Administrasi Negara Vol 6, No 1 (2022): April 2022
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/mediasosian.v6i1.2465

Abstract

Tujuan dari penelitian ini adalah untuk menganalisis pelaksanaan Andalalin Di Kabupaten Trenggalek sebagai dampak diberlakukannya Peraturan Daerah (Perda) Kabupaten Trenggalek No 18 Tahun 2013 Tentang Analisis Dampak Lalu Lintas dan Prasarana Perlengkapan Jalan. Pendekatan penelitian yang dipilih dalam penelitian ini adalah penelitian deskriptif kualitatif. Penentuan informan dalam penelitian ini menggunakan purposive sampling yang terdiri dari Pegawai Dinas Perhubungan Kabupaten Trenggalek serta instansi terkait yang terlibat. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah dengan metode wawancara, observasi, dan dokumentasi. Teknik analisis data yang digunakan meliputi pengumpulan data, kondensasi data, penyajian data, dan kesimpulan, penarikan atau verifikasi. Hasil dari penelitian ini kurangnya sosialisasi yang diberikan mengenai perihal kebijakan Andalalin, terbatasnya SDM yang memiliki kualifikasi Penilai Andalalin yang dimiliki oleh Dinas Perhubungan Kabupaten Trenggalek maupun instansi terkait, yang menjadikan pelaksanaan tidak efektif dan tidak efisien, belum adanya monetoring dan evaluasi di lapangan terhadap pelaksanaan rekomendasi andalalin, lemahnya pengawasan yang dilakukan oleh Dinas Perhubungan Kabupaten Trenggalek, serta tidak adanya sanksi yang tegas diberikan oleh Dinas Perhubungan kepada Pengembang/ Pembangun yang tidak patuh melaksanakan izin andalalin. Kata Kunci: Implementasi; Kebijakan Publik; Peraturan Daerah; Andalalin
Batik image retrieval using convolutional neural network Heri Prasetyo; Berton Arie Putra Akardihas
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12701

Abstract

This paper presents a simple technique for performing Batik image retrieval using the Convolutional Neural Network (CNN) approach. Two CNN models, i.e. supervised and unsupervised learning approach, are considered to perform end-to-end feature extraction in order to describe the content of Batik image. The distance metrics measure the similarity between the query and target images in database based on the feature generated from CNN architecture. As reported in the experimental section, the proposed supervised CNN model achieves better performance compared to unsupervised CNN in the Batik image retrieval system. In addition, image feature composed from the proposed CNN model yields better performance compared to that of the handcrafted feature descriptor. Yet, it demonstrates the superiority performance of deep learning-based approach in the Batik image retrieval system.
Halftoning-based BTC image reconstruction using patch processing with border constraint Heri Prasetyo; Chih-Hsien Hsia; Berton Arie Putra Akardihas
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 1: February 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i1.12837

Abstract

This paper presents a new halftoning-based block truncation coding (HBTC) image reconstruction using sparse representation framework. The HBTC is a simple yet powerful image compression technique, which can effectively remove the typical blocking effect and false contour. Two types of HBTC methods are discussed in this paper, i.e., ordered dither block truncation coding (ODBTC) and error diffusion block truncation coding (EDBTC). The proposed sparsity-based method suppresses the impulsive noise on ODBTC and EDBTC decoded image with a coupled dictionary containing the HBTC image component and the clean image component dictionaries. Herein, a sparse coefficient is estimated from the HBTC decoded image by means of the HBTC image dictionary. The reconstructed image is subsequently built and aligned from the clean, i.e. non-compressed image dictionary and predicted sparse coefficient. To further reduce the blocking effect, the image patch is firstly identified as “border” and “non-border” type before applying the sparse representation framework. Adding the Laplacian prior knowledge on HBTC decoded image, it yields better reconstructed image quality. The experimental results demonstrate the effectiveness of the proposed HBTC image reconstruction. The proposed method also outperforms the former schemes in terms of reconstructed image quality.
PENINGKATAN LITERASI DIGITAL MANAJEMEN CONTENT MANAGEMENT SYSTEM BERBASIS WORDPRESS UNTUK MENCEGAH SERANGAN JUDI GACOR PADA WEBSITE PORTAL ORGANISASI PERANGKAT DAERAH Winarno Winarno; Bambang Harjito; Wiranto Wiranto; Heri Prasetyo; Sari Widya Sihwi
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 6 (2023): martabe : jurnal pengabdian kepada masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i6.2252-2257

Abstract

Maraknya aksi peretasan di Indonesia saat ini terjadi tidak hanya di Lembaga-lembaga besar, namun juga lembaga pemerintah daerah. Salah satu bentuk peretasan yang sangat marak akhir-akhir ini adalah judi gacor pada Content Managemen System(CMS) berbasis Wordpress. Di Kabupaten Karanganyar masih ada 6.180 konten judi gacor yang terlihat di Google. Untuk menanggulangi masalah tersebut diperlukan Langkah praktik baik bagaimana mencegah dan mengelola sebuah CMS berbasis Wordpress agar terhindar dari serangan siber. Pelaksanaan pengabdian berupa workshop mengelola website mulai dari instalasi sampai implementasi. Hasil workshop menunjukkan peningkatan kemampuan peserta yang semula hanya 40% menjadi 80% paham bagaimana mengelola sebuah website yang aman.
Sentiment Analysis Before Presidential Election 2024 Using Naïve Bayes Classifier Based On Public Opinion In Twitter: Analisa Sentimen Jelang Pilpres 2024 Menggunakan Naïve Bayes Classifier Berdasarkan Opini Publik Di Twitter Prasetyo, Heri; Fitrani, Arif Senja
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1395

Abstract

This study aims to determine the performance of the Naïve Bayes Classifier algorithm and sentiment analysis tested on a dataset obtained from Twitter social media scrapping with the topic of 2024 presidential candidates. Three candidates frequently discussed in public spaces were used as keyword parameters in data mining: #anis, #ganjar, and #pilpres2024, resulting in 3021 tweets extracted from 12/1/2022 to 31/1/2023, which were successfully converted to ".csv" format documents. Public opinions extracted from the dataset were then pre-processed using the Python programming language, resulting in 2157 cleaned tweets. The data that passed the pre-processing stage was then labeled as positive or negative sentiment. Sentiment analysis was performed using the Naïve Bayes Classifier algorithm with three testing experiments using different training and testing data compositions in each experiment. The results of the study showed that the best Naïve Bayes model was obtained in the first experiment with a 10% testing data and 90% training data composition, resulting in 71% accuracy, 93% precision, 66% recall, and an f-measure score of 77%. The conclusion of the study is that the electability of the 2024 presidential candidates shapes public opinion and generates public sentiment in the form of positive and negative tweets. Positive tweets had a higher percentage of 71.5% (1543), while negative sentiment tweets accounted for 28.5% (614). Further research is expected to produce different information by using different classification algorithms and larger data sets.
PENGARUH FAKTOR FAKTOR YANG MEMPENGARUHI MINAT BERKUNJUNG KE OBYEK WISATA PUNCAK PINUS BECICI BANTUL YOGYAKARTA Wahono, Wahono; Prasetyo, Heri
Journal Competency of Business Vol. 8 No. 1 (2024): Journal Competency of Business
Publisher : Program Studi Manajemen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47200/jcob.v8i01.2525

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh faktor-faktor yang mempengaruhi minat berkunjung ke obyek wisata Puncak Pinus Becici di Bantul Yogyakarta. Jenis penelitian ini adalah penelitian kuantitatif. Populasi penelitian ini adalah wisatawan yang pernah atau sedang berkunjung ke objek wisata Puncak Pinus Becici. Metode pengumpulan data penelitian ini menggunakan kuesioner yang diajukan kepada 100 responden.Teknik analisis data yang digunakan dalam penelitian ini adalah regresi linier berganda yang dilanjutkan dengan uji t, uji F, dan analisis koefisien determinasi Hasil penelitian ini menunjukkan bahwa variabel pesona wisata komunikasi lisan, citra destinasi, dan simultan signifikan terhadap variabel minat berkunjung.
Analisis Faktor-Faktor yang Berpengaruh terhadap Return Saham Perusahaan Jasa di Bursa Efek Indonesia pada Periode 2018-2021 Giyartiningrum, Eko; Azzahra, Ummi Fajarina; Prasetyo, Heri; Swandari, Fifi
Jurnal Samudra Ekonomi dan Bisnis Vol 14 No 2 (2023): JSEB
Publisher : Fakultas Ekonomi Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jseb.v14i2.7028

Abstract

This study aims to explore the impact of DER, LDR, and NIM on stock returns of service companies in the IDX for the period of 2018-2021. Secondary data was obtained purposively for company financial reporting or via the website www.idx.com. Data analysis is done through multiple regression testing, F-test, and t-test. The results obtained show that only DER and LDR partially have a significant effect on stock returns of service companies in the study period, while NIM has proven to have no significant effect on stock returns. Simultaneously, the three independent variables proved to have a significant effect on service company stock returns in the study period. It is expected that the results of this study will contribute to providing deeper insight into the various factors that can influence stock returns in the Indonesian capital market and serve as a reference for investors and financial managers in making investment decisions.
Kepuasan Sharing Knowledge Teknik Early Warning Pencegahan Black SEO dalam Website Pemerintah Daerah Winarno, Winarno; Wiranto, Wiranto; Prasetyo, Heri; Harjito, Bambang; Sihwi, Sari Widya
Jurnal Dharma Bhakti Ekuitas Vol. 8 No. 2 (2024): Jurnal Dharma Bhakti Ekuitas
Publisher : Universitas Ekuitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52250/p3m.v8i2.759

Abstract

The increased number of internet users in Indonesia has also spurred the usage of search engines. With so many search engine users, Search Engine Optimizer (SEO) arose. However, alongside the rapid rise of SEO, hackers emerged. These hackers utilize government websites for malicious commercial purposes. This type of marketing is known as "black SEO." Local government is one of the entities most vulnerable to black SEO campaigns. To address this issue, the service team conducted workshops and demonstrations on combating black SEO for Communication and Information Service (Kominfo) workers. Participants responded quite well to this instruction. There was a difference; participants' knowledge rose from 56% to 90%. According to the findings of the activities carried out, training participants quickly comprehend the subject, obtain new scientific ideas, and recommend that similar activities be organized. A satisfaction level score of 3.5 suggests that the training went well. Keywords: Black SEO, Cybersecurity, Customer Satisfaction, Website Abstrak Peningkatan jumlah pengguna internet di Indonesia memicu penggunaan search engine pula. Banyaknya pengguna search engine, akhirnya muncul Search Engine Optimizer (SEO). Namun, seiring dengan perkembangan SEO yang tinggi muncul pula para hacker. Para hacker ini menjadikan situs pemerintah sebagai sarana pemasaran dengan cara-cara yang kurang baik. Pemasaran seperti ini dikenal dengan Black SEO. Pemerintah daerah merupakan salah satu lembaga yang paling banyak terkena serangan Black SEO. Untuk menyelesaikan masalah ini sehingga tim pengabdian memberikan pelatihan kepada staff Dinas Komunikasi dan Informatika (Kominfo) berupa workshop dan demonstrasi pencegahan Black SEO. Pelatihan ini mendapatkan tanggapan sangat baik dari peserta pelatihan. Terjadi perubahan, tingkat pemahaman peserta meningkat menjadi 90% dari semula hanya 56%. Dari hasil pelaksanaan kegiatan yang sudah dilakukan, peserta pelatihan mudah memahami materi, mendapatkan insight keilmuan baru dan peserta menyarankan untuk diadakan kegiatan serupa. Dengan skor tingkat kepuasan 3.5, menandakan bahwa penyelenggaraan pelatihan memiliki performa baik. Kata kunci: Black SEO, Cybersecurity, Kepuasan Pelanggan, Website
PENGARUH PRODUK DAN NILAI DENGAN PERSPEKTIF ISLAM DAN DAMPAKNYA TERHADAP KEPUTUSAN PEMBELIAN (Studi Kasus Pada Supermarket Mirota Kampus) Elidasari, Devi; Prasetyo, Heri
Journal Competency of Business Vol. 7 No. 2 (2023): Journal Competency of Business
Publisher : Program Studi Manajemen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47200/jcob.v7i02.2192

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh bauran pemasaran produk dan nilai dengan perspektif Islam dan dampaknya terhadap keputusan pembelian (Studi Kasus Supermarket Mirota Kampus). Jenis penelitian ini adalah penelitian kuantitatif dengan variabel independent X1 Bauran Pemasaran Produk dan X2 Nilai. Sedangkan variabel dependen dalam penelitian ini adalah Y Keputusan Pembelian. Teknik pengambilan sampel dalam penelitian ini adalah menggunakan teknik convenience sampling. Teknik pengumpulan data dalam penelitian ini adalah menggunakan kuesioner yang disebar-luaskan kepadaa responden mirota kampus. Teknik analisis data dalam penelitian ini adalah menggunakan teknis analisis deskriptif, asumsi klasik dan regresi linier berganda. Hasil penelitian ini menunjukkan bahwa Bauran Pemasaran Produk secara parsial berpengaruh signifikan terhadap keputusan pembelian sebesar 0.127 dengan thitung sebesar 5.233 dengan signifikansi 0.05% dan df (n-k-1) atau 286-3-1=283 maka di peroleh t-tabel sebesar 1.968. Bauran Pemasaran Nilai secara parsial berpengaruh signifikan terhadap keputusan pembelian sebesar 0.369 dengan thitung sebesar 10.051 dengan signifikansi 0.05% dan df (n-k-1) atau 286-3-1=283 maka di peroleh t-tabel sebesar 1.968. Bauran Pemasaran Produk dan Nilai Secara simultan berpengaruh terhadap keputusan pembelian sebesar 102.460.
Co-Authors Abiaz Fazel Maula Sandy Alfath Roziq Widhayaka Alim Wicaksono Hari Prayuda Anik Indriyani Antoni Wibowo Arif Senja Fitrani Azzahra, Ummi Fajarina Bambang Harjito, Bambang Basuki, Akbari Indra Berton Arie Putra Akardihas Chih-Hsien Hsia Dewi Retno Sari Saputro, Dewi Retno Didi Rosiyadi Elidasari, Devi Erliyani, Dian Fathur Rohman, Muhammad Anang Fifi Swandari Herdito Ibnu Dewangkoro Hermansyah Hermansyah Heru Priyanto Horng, Shi Jinn Hsia, Chih-Hsien Indah Safiira, Putri Iwan Setiawan Khairina, Fadiah Kristin Anita Indriyani Muhamad Aditya Putra Anugrah Prasetya Anggrahini, Wahyu Prissando, Fendy Artha Rintis Hadiani Rr. Eko Giyartiningrum Sari Widya Sihwi Sari Widya Sihwi, Sari Widya Sarira, Beatrix Datu setiono setiono Sidiq, Krisna Sulistiyowati, Ely Surifah Surifah Tarno Teguh Pramono Wahono Wahono Wibowo, Gusti Ngurah Adhi Wijaya, Anugrah Winarno Winarno Winarno Winarno Winarno Wiranto Wiranto Wiranto Yudha, Ery Permana Yuli Aryani, Desi