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All Journal Jupiter Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal sistem informasi, Teknologi informasi dan komputer Infotech Journal Jurnal Ilmiah KOMPUTASI Prosiding Seminar Nasional Teknoka Indonesian Journal of Applied Informatics Jurnal Riset Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Journal of Business and Audit Information System (JBASE) Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdi Masyarakat Indonesia SYNERGY: Jurnal Bisnis dan Manajemen Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Jurnal Sistem Informasi dan Manajemen The Indonesian Journal of Computer Science Jurnal Kemuhammadiyahan dan Integrasi Ilmu Jurnal Media Digital
Ade Davy Wiranata
Universitas Muhammadiyah Prof. Dr. HAMKA Jakarta, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences

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Aplikasi Steganografi Menggunakan Least Significant Bit (LSB) dengan Enkripsi Caesar Chipper dan Rivest Code 4 (RC4) Menggunakan Bahasa Pemrograman JAVA Wiranata, Ade Davy; Aldisa, Rima Tamara
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 3 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.219

Abstract

The research objective is to hide messages through images using the LSB (Least Significant Bit) method and Caesar Chipper and Rivest Code 4 encryption. The LSB (Least Significant Bit) method is used as a message hiding technique in steganography where hiding hidden messages is done by changing a few bits in the segment. image with a secret message. The results of this study resulted in an implementation using the Least Significant Bit (LSB) to be applied to institutions with an interest in maintaining the confidentiality of encrypted image output, changing the image file size and sound (audio) file size.Keywords:Steganography, Least Significant Bit (LSB), Caesar Chiper and RC4.
Deteksi Cacat Ubin Keramik Dengan Metode K-Nearest Neighbor Riza Alamsyah; Ade Davy Wiranata; Rafie Rafie
Techno.Com Vol 18, No 3 (2019): Agustus 2019
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.008 KB) | DOI: 10.33633/tc.v18i3.2459

Abstract

Perusahaan industri manufaktur harus dapat menjaga kualitas dari setiap produk yang diproduksi, termasuk perusahaan industri manufaktur yang memproduksi ubin keramik. Selama beberapa tahun, inspeksi visual secara otomatis sudah diterapkan untuk menentukan kualitas ubin keramik yang diproduksi. Sulitnya mendeteksi ubin keramik yang cacat bisa berdampak pada menurunnya kualitas hasil produksi, menurunnya tingkat kepercayaan konsumen, dan penurunan laba bagi perusahaan. Masalah yang dibahas di dalam penelitian ini adalah bagaimana mendeteksi ubin keramik yang cacat sehingga model yang dibangun dapat meningkatkan akurasi untuk mendeteksi ubin keramik yang cacat. Langkah penyelesaian masalah ini adalah dengan mengumpulkan data berupa citra dari ubin keramik, kemudian data citra dilakukan preprocessing menggunakan Median Filtering untuk menghilangkan noise salt and paper dan Teknik Morfologi untuk memperbaiki hasil segmentasi citra. Setelah dilakukan preprocessing, data citra diekstraksi ciri berdasarkan tekstur dengan menggunakan metode Gray Level Co-occurrence Matrix (GLCM) yang dilanjutkan dengan mengklasifikasikan data citra menggunakan metode K-Nearest Neighbor (KNN). Hasil dari penelitian ini adalah model yang dibangun menggunakan metode K-Nearest Neighbor dapat meningkatkan akurasi untuk mendeteksi kecacatan pada ubin keramik dengan nilai akurasi sebesar 98.9474% untuk k = 3.
PEMILIHAN KARYAWAN TELADAN MENGGUNAKAN METODE SAW DAN TOPSIS Ade Davy Wiranata; Irwansyah Irwansyah; Agus Budiyantara; Asrul Sani
JBASE - Journal of Business and Audit Information Systems Vol 3, No 1 (2020): JBASE - Journal of Business and Audit Information Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jbase.v3i1.2060

Abstract

Perkembangan teknologi yang pesat khususnya di bidang teknologi informasi telah memberi banyak dampak positif dan kemudahan dalam berbagai aspek. Pegawai dalam sebuah perusahaan haruslah memiliki dan memenuhi standar yang ditetapkan oleh perusahaannya. Maka kualitas karyawan didalam perusahaan juga harus diperhatikan, baik dari segi efektifitas karyawan dalam bekerja maupun evaluasi yang harus dilakukan untuk masa depan. Permasalahan yang terjadi dalam pemilihan karyawan teladan pada PT. Aerotrans Services Indonesia adalah belum adanya suatu aplikasi untuk pemilihan karyawan teladan. Oleh karena itu dibutuhkan suatu aplikasi sistem pendukung keputusan yang dapat mengangkat suatu kasus untuk menilai kinerja karyawan berdasarkan kriteria yang telah ditentukan perusahaan. Rumusan masalah yang akan dibahas adalah belum ada rekomendasi pendukung untuk sistem pendukung keputusan yang dijadikan sebagai alat bantu Manager HRD dalam menentukan pemilihan karyawan teladan. Metode yang digunakan untuk pemilihan karyawan teladan adalah metode Simple Additive Weighting (SAW) dan Technique for Order by Similarity to Ideal Solution (TOPSIS). Tujuan dari penelitian ini adalah bagaimana mengembangkan model Sistem Penunjang Keputusan dengan metode SAW dan TOPSIS terhadap penentuan karyawan teladan. Dari hasil uji sistem oleh user untuk 4 (empat) karakteristik yaitu Functionality, Reability, Usability, dan Efficiency. Rata-rata nilai menunjukkan 78,02%.
Sistem Pakar untuk Mendeteksi Gejala Awal Penyakit Apendisitis dengan Metode Case Based Reasoning (CBR) Berbasis Mobile Android Catur Nugroho; Ade Davy Wiranata; Rima Tamara Aldisa
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.553

Abstract

Appendicitis is caused by inflammation of the intestines (appenditis). The patient will feel pain in the lower right abdomen. This study explores this with several references, by designing an expert system an application is produced that is used to detect appendicitis. This process can help detect early symptoms starting from the user answering questions in the form of symptoms suffered by the user. The research applies the Case Base Reasoning method in the expert system by detecting the early symptoms of appendicitis using this android-based device. The research aims to add experience to users in finding out the disease they feel by entering the initial symptoms and providing solutions or it can be without consulting the nearest hospital or clinic. The results of the research. This android-based appendicitis expert system aims to help diagnose Appendicitis Inflammatory Disease for children under five and adults based on Android Mobile, and the Appendicitis Disease Diagnosis Expert System that was built to provide information easily starting from understanding, dangers, causal factors, symptoms of the disease and solution only by consulting the system and objectives can help provide a good solution.
Aplikasi Steganografi Menggunakan Least Significant Bit (LSB) dengan Enkripsi Caesar Chipper dan Rivest Code 4 (RC4) Menggunakan Bahasa Pemrograman JAVA Ade Davy Wiranata; Rima Tamara Aldisa
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.219

Abstract

The research objective is to hide messages through images using the LSB (Least Significant Bit) method and Caesar Chipper and Rivest Code 4 encryption. The LSB (Least Significant Bit) method is used as a message hiding technique in steganography where hiding hidden messages is done by changing a few bits in the segment. image with a secret message. The results of this study resulted in an implementation using the Least Significant Bit (LSB) to be applied to institutions with an interest in maintaining the confidentiality of encrypted image output, changing the image file size and sound (audio) file size.
Aplikasi Pariwisata Kota Malang Berbasis Web Menggunakan Metode User Centered Design Muhammad Efrizal Febriyan; Ade Davy Wiranata
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3970

Abstract

The City of Malang is one of the favorite destinations in Indonesia which has uniqueness in culture and diverse tourism. Information about tourism has not been handled properly by the government in Malang City. The various tourist attractions in Malang City are not fully known by the public. Therefore, here the author will design a WEB-based Malang City Tourism Application. In designing pages on this website, we will use Visual Studio Code (VS Code) Programming assistance. To get a dynamic website design the author uses PHP and CSS in its creation. In managing all existing databases the author uses the MySQL Database. The results of this research study can provide results in which there is complete information about tourist attractions and accommodations in tourism in Malang City. With the User Centered Design (UCD) method, the interface on the website will be focused on user needs. Furthermore, the result of this design is the creation of an interface that contains various menus, including the login menu, main page menu, package menu, hotel menu, and contact menu. The results of the analysis will involve a sample of 100 respondents.
The Implementation of C4.5 Algorithm for Determining the Department of Vocational High School Mirza Sutrisno; Jefri Kusuma Rambe; Asruddin Asruddin; Ade Davy Wiranata
Jurnal Riset Informatika Vol. 5 No. 2 (2023): March 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i2.211

Abstract

The selection of departments in vocational high schools (SMK) is a must for students to determine the concentration of student learning interest for three years in a school. The lack of student knowledge and outreach about this department caused many students to choose their majors by the most choices and following other students. This problem can cause some difficulties for the students to participate in learning, and most fail. Students must select their major based on their interests, abilities, and talents because every student has different abilities and talents. The C4.5 algorithm can provide convenience in grouping students based on majors. Using the decision tree method with attributes such as grades in mathematics, English, interests, and talents, the system can recommend majors based on students' interest levels. The results of this study are the determination of the departments with the accuracy of the calculation using the confusion matrix method with a 98,55% accuracy rate and 100% recall rate value.
The Determination of Development Priorities Road Infrastructure at “Dinas Pekerjaaan Umum dan Penataan Ruang Kabupaten Balangan” Using AHP and Bayes Methods Haderiansyah Haderiansyah; Deni Mahdiana; Ade Davy Wiranata; Mirza Sutrisno
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.326 KB) | DOI: 10.34288/jri.v5i3.233

Abstract

The construction industry is a significant part of the gross domestic product of any country, and its success can lead to the long-term economic and social development of lives in general. Many studies have found a positive link between public infrastructure and the economy. Infrastructure investment directly affects economic growth. Well-designed infrastructure will have long-term financial benefits. The Ministry of Public Works and Housing (Pekerjaan Umum dan Perumahan Rakyat / PUPR) has played an essential role in strengthening the monitoring and evaluation of the implementation of infrastructure development by local authorities, including making the right policies in determining infrastructure development priorities. The Analytical Hierarchy Process (AHP) and Bayes method were used in this study. First, we used AHP to derive independent weights for criteria. Then, we determined the closeness between priorities to produce a sequence of infrastructure development priorities. Based on the results, using Analytical Hierarchy Process (AHP) and Bayes Method showed that Lampihong-Panaitan, Halong-Tabuan, and Bihara-Tariwin roads are Priorities for development. Then the Wangkili-Pudak road, and finally, the Awayan-Bihara. Decision support systems using the AHP and Bayes methods can determine priorities for road infrastructure development at the Office of Public Works and Public Housing in Balangan Regency.
Perbandingan Algoritma Naïve Bayes, KNN, dan Decision Tree terhadap Ulasan Aplikasi Threads dan Twitter Muhammad Iqbal; Ade Davy Wiranata; Rayhan Suwito; Ridha Faiz Ananda
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1402

Abstract

Social media is a socializing activity through the internet, which has many conveniences that allow people to communicate and access information quickly. Social media is widely used to get news that is difficult to get. Social media applications are quite popular such as Twitter and recently social media that has similar features, namely Threads. Therefore, the purpose of this study is to compare 3 algorithmic methods of user-generated reviews on two applications, namely Twitter and Threads. We used 899 reviews on Twitter, with 245 positive sentiments and 654 negative sentiments, and 638 reviews on Threads, with 220 positive sentiments and 418 negative sentiments. Cleansing, preprocessing, and modeling are the steps that will be passed to process the data. In this study, split data and cross validation models were used, and the three algorithms used were Naïve Bayes, Decision Tree, and KNN, with a ratio of 80:20 for training data and test data. The accuracy value obtained for Naïve Bayes is 85.56%, Decision Tree is 72.78%, and KNN on the Twitter application, while the threads application gets 66.41% for Naïve Bayes, Decision Tree gets 65.41%, and the threads application gets 66.41%. In the Naïve Bayes algorithm, precision, recall are calculated in the Threads and Twitter applications. The Threads application gets 64.86% in precision and 73.85% in recall, while the Twitter application gets 84.69% in precision and 88.30% in recall.
Pengembangan Aplikasi Try Out Berbasis Web untuk Lembaga Kursus dan Pelatihan Sutrisno, Mirza; Wiranata, Ade Davy; Irawan, Dede
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Volume 14 No 3, Mei Tahun 2024
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.14.3.188-193

Abstract

Pengamatan langsung dilakukan terhadap proses pelaksanaan tes uji coba (try out) serta penilaian siswa dan pembahasan materi try out di Lembaga Kursus dan Pelatihan (LKP). Aplikasi ini dirancang untuk mempersiapkan siswa menghadapi Asesmen Nasional Berbasis Komputer (ANBK) di tingkat SMP dan SMA. Meskipun demikian, dalam pelaksanaannya, masih terdapat kendala seperti proses pengerjaan, pendistribusian soal dan lembar jawaban, serta pengkoreksian dan penilaian yang memerlukan waktu karena banyaknya peserta tes uji coba. Aplikasi dirancang menggunakan permodelan Unified Modelling Language (UML) dengan metode pengembangan sistem menggunakan waterfall yang selanjutnya diuji dengan metode black box testing. Diharapkan dengan adanya aplikasi try out bagi Lembaga Kursus dan Pelatihan ini, proses pelaksanaan try out dapat lebih efisien dan meningkatkan citra Lembaga Kursus dan Pelatihan.Kata Kunci : Aplikasi Try Out, Lembaga Kursus, Waterfall, Blackbox Testing
Co-Authors Ahamad Ahdani Ahmad, Irsana Al-Tain, Qolibu Rozak Al-Tain, Qolibu Rozaq Aldisa, Rima Tamara Anton Maulana Ibrahim Ariyansyah, Riyan Asruddin Rudi Asrul Sani Azhar, Nur Chalik Bagus Arfian Laksono Baktiar, Muhammad Yusuf Budiyantara, Agus Catur Nugroho Cleary Syafi'i, Akbar Dede Irawan Deni Mahdiana Dwi Prastiko, Andika Dzikrillah, Ahmad Rizal Elvinaadellia, Elvinaadellia Erizal Erizal Fadhilah, Ash Shoffi Hana Fakhriyyah , Alma Nisa Firdaus Firmansyah Firmansyah, Firadaus Firmansyah, Gripsy Adep Fitria Nur Hasanah Gunadi, Reza Haderiansyah Haderiansyah Hamimuddin, Moch Hilmi Ammar I Ketut Sudaryana, I Ketut Indriani Indriani Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah iswahyudi Iswahyudi Iswahyudi Jazuli, Umar Jefri Kusuma Rambe M, Tupan Tri MA'MUN, AKHMAD HAQIQI Makmun, Akhmad Haqiqi Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Mirza Sutrisno Muhamad Fadilah Rafli Muhammad Efrizal Febriyan Muhammad Erik Muhammad Iqbal Muhammad Yusuf Siregar Mukhtar, Ahmad Amirrudin Murniasih, Intan Muryono, Tupan Tri Mutiarawan, Rezza Anugrah Ninda Baitza Maulana Nunik Pratiwi Pinardi, Sofia Pratiwi, Nunik Rabbani, Abrar Dyah Rachman, Hafid Sulistyo Rafie Rafie Rahardjo, Rafi Diandra Dani Rahayu, Leni Sri Rahmi Imanda Ramza, Harry Rayhan Suwito Rezza Anugrah Mutiarawan Ridha Faiz Ananda Rima Tamara Aldisa Rima Tamara Aldisa Riyan Ariyansah Riza Alamsyah Rizal Rizal Rizki Adi Saputra Rosalina Rosalina Saefulloh, Mochamad Saifudin, Yazid Saryanto, Hendi Sinduningrum, Estu Soleman, Soleman Sulistiawati Sulistiawati Syakura, Rais Abdan Widodo, Muh. Adnan Widodo, Muhammad Adnan Wulansari, Aprilya Siti Zulhamdani Zulhamdani