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All Journal Desimal: Jurnal Matematika Jurnal Ilmiah Sinus Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Indonesian Journal of Business Intelligence (IJUBI) Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) International Journal of Computer and Information System (IJCIS) Ittishal Educational Research Journal Journal of English Language and Education Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Journal of Technology, Mathematics and Social Science Jurnal Pengabdian Masyarakat Ilmu Komputer Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP)
Wijayanto, Hendro
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Religion Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Web Profil Sebagai Media Promosi di CV Activa Amanah Karya Adi Guno, Sepbianto; Nugroho, Novianto; Hendrianto, Yogi; Wijayanto, Hendro; Dwi Raharja, Bayu
Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Vol. 1 No. 1 (2024): Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (Jurnal Mantap)
Publisher : Redtech Putra Benua

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

Abstract

CV. Activa Amanah Karya serves various IT product and service needs required by users. Among them are providers of IT technology security facilities, CCTV installation, computer equipment, laptops, laptop services, networking. CV. Activa Amanah Karya is ready to carry out installations in buildings, factories, campuses, schools, offices, shophouses, boarding houses, warehouses, and so on. CV. Activa Amanah Karya is committed to providing the best solutions and services for IT customers/users. In CV. Activa Amanah Karya has 4 employees who each have their own duties according to their respective expertise. CV. Activa Amanah Karya itself has a very strategic location because it is in a densely populated area. The aim of this activity is to promote information about CV. Activa Amanah Karya via Web profile or via website
IMPLEMENTASI MODEL WATERFALL DAN PENGUJIAN SYSTEM USABILITY SCALE (SUS) PADA PEMBUATAN WEBSITE PROGRAM STUDI INFORMATIKA BERBASIS WORDPRESS Wijayanto, Hendro; Kumarahadi, Yovita Kinanti; Prabowo, Iwan Ady
Indonesian Journal of Business Intelligence (IJUBI) Vol 6 No 1 (2023): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v6i1.3375

Abstract

Information technology is currently developing very rapidly. Especially after the Covid-19 Pandemic which makes activities and work done online. Communication allows the exchange of information between users and recipients. The Informatics Study Program is one of the study programs at STMIK Sinar Nusantara Surakarta. Currently there are no special services available as a medium for delivering information for students and the wider community. So it is necessary to have a website that is useful for conveying information related to the activities of the Informatics Study Program. One of the widely available Content Management System is WordPress. In this study, the design and construction of a WordPress-based study program website uses the Waterfall model. Which stages in the Waterfall model consist of needs analysis, system design and software design, design and development, implementation, testing and maintenance. In the testing phase, the System Usability Scale (SUS) model is used to test the usability level or usability of the website. The test results show the usability level in the precentile ranks of 91.6%. With the category of being included in the class A scale or letter grades level and having an adjective rating level of BEST IMAGINABLE or ACCEPTABLE in the acceptability ranges. This assessment is based on 40 respondents consisting of Education Personnel, Lecturers, Students and the General Public.
IMPLEMENTASI ALGORITMA RIVEST SHAMIR ADLEMAN (RSA) MULTIPRIMA DAN CHINESE REMAINDER THEOREM (CRT) PADA PENGAMANAN PESAN TEKS Pratama, Adhi Yoga; Wijayanto, Hendro
Indonesian Journal of Business Intelligence (IJUBI) Vol 8 No 1 (2025): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v8i1.5523

Abstract

RSA (Rivest-Shamir-Adleman) adalah algoritma kriptografi kunci public yang popular dalam implementasinya. Sulitnya memfaktorkan bilangan besar menjadi factor-faktor prima adalah dasar keamanan algoritma RSA. Tahap awal RSA adalah memilih bilangan prima acak p dan q, untuk selanjutnya dihitung modulus n. Besarnya nilai modulus n berbanding lurus dengan tingkat keamanan dan tingginya waktu performansi algoritma. Dalam aspek keamanan, untuk memperoleh nilai modulus n yang besar maka diimplementasikan RSA Multiprima dengan tiga bilangan prima acak (p, q, dan r) dalam pembangkitan kunci. Menangani efisiensi waktu proses dekripsi, memanfaatkan Chinese Remainder Theorem (CRT) untuk menghitung kunci privat dalam beberapa modul terpisah, sehingga dapat mempercepat  kalkulasi dalam proses dekripsi. Hasil dari kajian ini menunjukan bahwa implementasi CRT pada RSA Multiprima dapat mempercepat proses dekripsi, sehingga dapat menjadi solusi efisiensi sumber daya dalam implementasi algoritma kriptografi RSA Multiprima. Dalam kajian ini, implementasi menggunakan Bahasa pemrograman Python dengan versi 3.12.2. Kajian ini diharapkan dapat memberikan manfaat dalam pengembangan kriptografi modern yang lebih efisien.
Pelatihan Digital Marketing UMKM Desa Banaran Lewat Teknologi Informasi dan Pentahelix Governance Fitriasih, Sri Hariyati; Wijayanto, Hendro; Prihanto, Prihanto; Rahmatika, Rahmatika; Fadila, Fatin; Zaenah, Eny Rahma
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 9, No 1 (2026): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v9i1.9786

Abstract

Desa Banara merupakan salah satu desa di Kecamaran Grogol Kabupaten Sukoharjo  yang berbatasan langsung dengan Kota Surakarta, tepatnya Kecamatan Laweyan. Dengan letak geografis ini membuat UMKM banyak tumbuh. Akan tetapi masih banyak dari UMKM tersebut kurang begitu maksimal dalam meningkatkan potensi produknya. Teknologi informasi khususnya dibidang digital marketing sangatlah sesuai dengan keadaan saat ini. Termasuk didalamnya keterlibatan 5 unsur (pentahelix) pemerintahan, akademisi, pelaku usaha, komunitas, dan media. Pelatihan dengan kegiatan sosialisasi dan workshop pengetahuan digital marketing, packaging, serta pembuatan konten digital marketing ini sangatlah penting untuk meningkatkan perekonomian bagi UMKM. Materi tersebut disampaikan dalam tajuk sosialisasi UMKM berbasis teknologi informasi, branding kuat, marketing cepat, UMKM melesat. Kegiatan berupa sosialisasi dan workshop sederhana yang diselenggarakan pada Kamis 18 September 2025. Hasil dari kegiatan ini menunjukkan antusiasme peserta yang sangat bagus. Ini terbukti dari hasil kegiatan diperoleh bahwa terdapat peningkatan pemahaman konsep digital marketing sebesar 11%, pengenalan platform digital sebesar 14%, pengetahuan tentang strategi branding sebesar 15%, pengetahuan dan pemahaman mengenai pembuatan konten promosi sebesar 11% dan penggunaan tools digital marketing sebesar 18%. Kegiatan ini akan terus berjalan karena Desa Banaran merupakan salah satu desa binaan Universitas Tiga Serangkai. Masih terdapat potensi desa yang dapat di eksplor guna meningkatkan perekonomian masyarakat Desa Banaran. Kegiatan-kegiatan lanjutan digital marketing bagi pelaku UMKM juga masih sangat dibutuhkan
A Learning Vector Quantization Approach to Handwritten Mandarin Numeral Recognition Soniya, Septi Vera; Wahyu Utami, Yustina Retno; Wijayanto, Hendro
Jurnal Ilmiah SINUS Vol 24, No 1 (2026): Vol. 24 No. 1, Januari 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v24i1.1073

Abstract

Numbers 1 to 10 in Mandarin are also studied in the Mandarin language learning process as basic numbers. Mandarin numbers have a different shape from Arabic numbers and Roman numerals. So it is necessary to recognize the pattern of mandarin numbers to help the learning process of mandarin. Therefore, the purpose of this research is to build an application that applies the Learning Vector Quantization method for handwriting pattern recognition of Mandarin numbers. System testing methods used are Black Box and Confusion Matrix for accuracy testing methods. The application that has been made produces an accuracy of 92.80% with a total of 250 test data. Keyword: Learning Vector Quantization, Pattern Recognition, Mandarin Numbers.
Assessing Student Understanding of Mobile Programming (Android) Competencies Prabowo, Iwan Adi; Wijayanto, Hendro; Wiryawan, Bramasto
Ittishal Educational Research Journal Vol. 5 No. 1 (2024): Ittishal Educational Research Journal
Publisher : International Islamic Schools Alliance

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51425/ierj.v5i1.73

Abstract

Mobile programming is a field of study focused on developing applications for mobile devices. While Java is a core language, specific platforms like Android may utilize different frameworks or libraries built upon it. This study aimed to analyze the curriculum of a mobile programming course with an Android focus. The analysis centered on evaluating students' comprehension of the Android-specific materials within the course..The method used is in the form of data collection by interviews and questionnaires by making a list of questions/questionnaires to students related to the material/competence of Mobile programming (Android). The number of respondents is 30 students. The Mobile Programming Materials are as follows: Introduction to Android and Review of Java Programming, Android UI - XML Layout, Activity Life Cycle and Intent, Widgets, Action Bar and Context Menu, Shared Preferences and Files, Audio and Video, Android Advanced UI Design, Implementing Fragment , Broadcast Receivers and Notifications, Location Based Service, Android PHP MySQL. The results of the analysis show that the level of student understanding of mobile programming material is 70% located on the Easy scale. However, it can be seen that the comparison of the average level of student understanding of competency units shows a declining graph, therefore it is necessary to review the curriculum for mobile programming courses in the learning model of each competency unit.
A COMPUTER VISION APPROACH FOR CLASSIFYING CALIFORNIA PAPAYA RIPENESS USING K-NEAREST NEIGHBOR Wulandari, Tyas; Prabowo, Iwan Ady; Utami, Yustina Retno Wahyu; Raharja, Bayu Dwi; Wijayanto, Hendro
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 14, No 1 (2026): Jurnal Tikomsin, Vol 14, No.1, April 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v14i1.1091

Abstract

Determining the ripeness level of California papaya is important for harvest decisions, sorting, distribution, and spoilage control. In practice, ripeness identification is still commonly performed visually and is therefore subjective. This study aims to develop a digital image-based classification system for California papaya ripeness using the K-Nearest Neighbor (K-NN) algorithm with Hue and Saturation features in the Hue Saturation Value (HSV) color space. The dataset consists of 90 primary images, divided into 60 training images and 30 testing images, with four ripeness classes: unripe, half-ripe, ripe, and rotten. All images were captured using a Xiaomi Mi A2 Lite smartphone and cropped to 1436 × 1000 pixels. Classification was conducted using Euclidean distance. The value of k was selected empirically through trial and error in the original study, and k = 9 was retained because it produced the most stable result on the available data while reducing the potential for class ties. The evaluation produced 22 correct predictions out of 30 test images, resulting in an accuracy of 73.33%. This revised manuscript strengthens the methodological reporting by clarifying parameter selection, documenting the data distribution and providing a literature-based comparison with alternative methods, such as Support Vector Machine (SVM) and Convolutional Neural Network (CNN). The findings suggest that K-NN with HSV features remains a feasible, low-cost baseline, although its performance should be improved through larger datasets, per-class evaluation reporting, and head-to-head comparisons on the same dataset.
Co-Authors Adi Guno, Sepbianto Ady Prabowo, Iwan Arumsari, Arumsari Dorestin, Nacita Agnes Dwi Remawati FADILA, FATIN Fitriani, Putri Asiska Nur Hakim, Yunif Lukman Hendrianto, Yogi Iwan Ady Prabowo Kumarahadi, Yovita Kinanti Lathofy, Afan Lestari, Zannuba Anugrah Indah Muhammad Mustofa Mujirahayu Meyliana, Nirma Nugroho, Novianto Nugroho, Zulkifly Setyo Octaviani, Saly Kurnia Prabowo, Iwan Adi Pratama, Adhi Yoga Prihanto Prihanto, Prihanto Putri Pertiwi, Ina Raden Arie Febrianto Raharja, Bayu Dwi Rahmatika, Rahmatika Restu Utami, Widya Retno Tri Vulandari Saptomo, Wawan Laksito Yuly Soniya, Septi Vera Sri Hariyati Fitriasih, Sri Hariyati Sri Harjanto Sri Siswanti Teguh Susyanto Tri Irawati, Tri Tyas Wulandari W, Yustina Retno Waskitho, Anggit Widhi wati, Dwi Rema Widada, Bebas Wiryawan, Bramasto Yustina Retno Wahyu Utami Zaenah, Eny Rahma