Article Per Year (5 Year)
p-Index From 2021 - 2026
5.367
P-Index
This Author published in this journals
All Journal Creative Information Technology Journal J I M P - Jurnal Informatika Merdeka Pasuruan Jiko (Jurnal Informatika dan komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Tekno Kompak Jurnal Pengabdian Kepada Masyarakat (Mediteg) Infotekmesin Jurnal Teknik Informatika (JUTIF) Information System Journal (INFOS) Jurnal Kewarganegaraan Journal of Applied Computer Science and Technology (JACOST) International Journal of Computer and Information System (IJCIS) Transformasi Jurnal Teknik Informatika dan Desain Komunikasi Visual AGORA : Jurnal Penelitian dan Karya Ilmiah Arsitektur Usakti Jurnal Masyarakat Mengabdi Nusantara Jurnal Kabar Masyarakat Jurnal Riset Sistem dan Teknologi Informasi Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan Jurnal Teknik Informatika dan Desain Komunikasi Visual
Yusuf Wahyu Setiya Putra
STMIK Bina Patria
Religion Agriculture, Biological Sciences & Forestry 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 Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 37 Documents
Search

 1   2   3   4 
RANCANG BANGUN SISTEM INFORMASI PERIZINAN TATA LINGKUNGAN DINAS LINGKUNGAN HIDUP BERBASIS WEB Putra, Yusuf Wahyu Setiya; Mila, Tri Yusuf Suyatno; Mila, Didin Herlinudinkhaji; adminjfik, adminjfik
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 1 No 1 (2022): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/jtd.v1i1.05

Abstract

This web-based designing and building of the Environmental Planning Licensing Informastion System of Kendal Regency was created to help and improve the licensing services in the Environmental Management Field of the Environmental Service of Kendal Regency. The purpose of this study was to create a web-based data processing information system aimed at administrator and officers of the Environmental Service of Kendal Regency and also visitors or permit applicants to observe their submitted application.This research used data collection methods by observation, interviews, and literature studies as well as system development methods using the Linear Sequential Model or Watefall Model. The Waterfall Method has some steps, namely data collection, analysis, design, implementation / coding, testing, operation, and maintenance. The reason for choosing this method was the method must be carried out systematically or sequentially and each step has its own focus, so that the system can be developed based on the wish. The system design method used is the Data Flow Diagram (DFD) method.The result of this study is an environmental planning licensing informastion system that manages submission data, licensing data, submission requirements, checklist requirements, photo data, message boxes, and visitor pages with a search system to help the applicants finding information relate to the processing of the file that has been submitted.
Menyiapkan Lulusan Pesantren yang Adaptif Digital: Workshop Fotografi dan Videografi Dasar di Magelang Yusuf Wahyu Setiya Putra; Mira Fitriana
Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Vol. 3 No. 2 (2026): April: Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/transformasi.v3i2.3199

Abstract

Abstract: The digital era demands that every individual possess visual literacy competencies, but in Islamic boarding schools (pesantren), access to technology is often limited to maintain focus on worship. The main problem at the Salafiyah Al-Furqon Islamic Boarding School in Sawangan, Magelang Regency, is the digital skills gap among 12th-grade students. This is caused by the boarding school's policy of only allowing mobile phone use during semester breaks, leaving students lacking practical multimedia skills prior to graduation. This community service activity aims to provide a solution through basic photography and videography training as a soft skill for alumni independence. The method used is a workshop that combines theoretical explanations and direct practice (experiential learning). The results of this activity show a significant increase in students' technical competency; participants are able to operate smartphone cameras with stable shooting techniques, understand the principles of visual composition (such as the rule of thirds and leading lines), and are able to perform basic video editing using mobile-based software applications. Through this training, Islamic boarding school graduates are expected to become individuals who are adaptive to technological developments and able to utilize visual media as a means of creative economics and digital da'wah after graduation.
THE BEST TOURISM RECOMMENDATION SYSTEM IN YOGYAKARTA CITY WITH THE INTEGRATION OF MFEP AND K-MEANS CLUSTERING METHODS Yusuf Wahyu Setiya Putra; Muqorobin Muqorobin
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 3 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i3.10670

Abstract

Yogyakarta is one of the leading tourist destinations in Indonesia with diverse attractions, ranging from cultural, historical, to natural attrac-tions, which often pose challenges for tourists in determining tourist destinations according to their preferences. This study aims to develop a recommendation system for the best tourist destinations in Yogya-karta City through the integration of the Multifactor Evaluation Pro-cess (MFEP) and K-Means Clustering methods. MFEP is used to rank destinations based on five main criteria, namely location, accessibility, facilities, cost, and uniqueness, with weights obtained from the results of tourist preference surveys. The ranking results are then analyzed using K-Means Clustering to group destinations into three categories of tourism potential, namely high, medium, and low, based on addi-tional parameters such as strategic location, number of attractions, and number of visitors. The results of this study prove that the integration of MFEP and K-Means is able to produce fast, accurate, and informa-tive recommendations, and can be used by tourists and tourism manag-ers in strategic planning and decision-making. System functionality testing using the black box method shows that all features run as need-ed, while clustering quality testing using the Silhouette Coefficient method produces very good clustering quality with an average score of 0.9552.
Implementation of the LSTM Deep Learning Model for Water Quality Parameter Prediction febriani, yeza; astuti, dwi; Putra, Yusuf Wahyu Setiya; Handayani, Riska Dwi; Fatkhurrohman; Kapti
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/t21qyp02

Abstract

Efficient water quality prediction is crucial amid the threat of increasing pollution. Conventional methods have limitations in terms of cost, time, and coverage, requiring an innovative approach based on artificial intelligence. This study aims to classify drinking water suitability using Long Short-Term Memory (LSTM) architecture, which is known to be effective for sequential data. The research method includes data collection from Kaggle, data pre-processing such as normalization and missing value handling, and data division into 80% for training and 20% for testing. The proposed LSTM model was evaluated using accuracy, precision, recall, and F1-Score metrics. The results show that the LSTM model is capable of achieving an overall accuracy of 95.47%, with a precision of 0.9511 and a recall of 0.9547. Although there are some False Positive classification errors (predicting water as unfit when it is actually fit), the overall performance of the model is excellent and reliable for this classification task. The conclusion of this study is that the LSTM model can be an effective and accurate solution for predicting water quality, supporting early detection and real-time pollution control efforts.
ANALISIS DAN PERANCANGAN UI/UX APLIKASI E-COMMERCE BERBASIS ANTICIPATORY DESIGN UNTUK OPTIMASI ALUR TRANSAKSI Setiya Putra, Yusuf Wahyu; Fitriana, Mira; Kanafi; Wahyudiono, Sugeng
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/0ymt6d79

Abstract

Kompleksitas alur transaksi pada aplikasi e-commerce sering kali menjadi hambatan utama yang memicu decision fatiguedan tingginya angka pembatalan belanja (cart abandonment). Penelitian ini bertujuan untuk merancang antarmuka dan pengalaman pengguna (UI/UX) pada aplikasi e-commerce dengan menerapkan prinsip Anticipatory Design guna mengoptimalkan efisiensi alur transaksi. Metode penelitian yang digunakan adalah Design Thinking, yang terdiri dari tahapan empathize, define, ideate, prototype, dan testing. Fokus utama rancangan ini adalah meminimalkan beban kognitif pengguna melalui fitur-fitur prediktif yang bekerja secara proaktif, seperti pengisian otomatis data pengiriman berdasarkan pola perilaku, rekomendasi metode pembayaran prioritas, serta penyederhanaan langkah checkout. Prototipe desain dibangun menggunakan alat bantu Figma dan diuji melalui metode Usability Testing dengan melibatkan responden pengguna aktif e-commerce. Instrumen evaluasi yang digunakan meliputi pengukuran Time on Task untuk aspek efisiensi dan System Usability Scale (SUS) untuk aspek kepuasan pengguna. Hasil penelitian menunjukkan bahwa implementasi Anticipatory Design mampu memangkas waktu transaksi secara signifikan dibandingkan dengan alur konvensional. Hasil skor SUS yang diperoleh berada pada kategori "Excellent", yang mengindikasikan bahwa pengurangan interaksi manual yang tidak perlu berhasil meningkatkan kenyamanan dan loyalitas pengguna. Penelitian ini menyimpulkan bahwa pendekatan desain antisipatori merupakan solusi efektif dalam menciptakan pengalaman transaksi yang lebih intuitif dan cepat, sekaligus menjadi keunggulan kompetitif bagi platform digital di masa depan.
Sistem Pengelolaan Pamsimas Desa Menggunakan Framework Codeigniter Fatimah Nur Arifah; Yusuf Wahyu Setiya Putra
Jurnal Kewarganegaraan Vol 6 No 2 (2022): Desember 2022
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v6i2.2546

Abstract

Abstrak Program PAMSIMAS (Penyediaan Air Minum dan Sanitasi Berbasis Masyarakat) merupakan program pemerintah pusat yang membantu penyediaan air minum dan sanitasi dengan konsep berbasis kebutuhan masyarakat bagi kabupaten dan kota di seluruh Indonesia yang memiliki kesulitan didalam pemenuhan akses air dan sanitasi. Desa Sukodadi adalah salah satu desa di Kabupaten Kendal yang berhasil mendapatkan dana anggaran dari pemerintah untuk pembangunan PAMSIMAS. Permasalahan dalam penelitian ini adalah Petugas yang melakukan pemeliharaan, pengoperasian, pengontrolan disebut BP SPAMS (Badan Pengelola Sarana Penyediaan Air Minum dan Sanitasi), petugas sangat sulit dalam melalukan penghitungan dan pengolahan data pembayaran PAMSIMAS perbulanya. Kemudian akan dibuat sebuah Sistem Pengelolaan PAMSIMAS menggunakan Framework Codeigniter berbasis website. Metode pengembangan sistem yang dipakai dalam penelitian ini menggunakan metode waterfall. Metode ini bertujuan untuk menggambarkan dan keberlanjutan sistem pengelolaan di BP SPAMS Suka Makmur. Dengan adanya sistem ini, dapat memudahkan petugas dalam melayani pelanggan dalam pembayaran rekening air dengan hasil yang lebih efektif dan lebih akurat, selain itu dengan adanya sistem ini dapat memudahkan dalam pengolahan data pelanggan dan penyajian laporan laporan seperti laporan data pelanggan dan laporan pembayaran rekening air secara terkomputerisasi. Kata Kunci: PAMSIMAS, Sistem Pengelolaan, Codeigniter, Waterfall Abstract The PAMSIMAS (Community-Based Drinking Water and Sanitation Provision) program is a central government program that assists the provision of drinking water and sanitation with a concept based on community needs for districts and cities throughout Indonesia that have difficulty in fulfilling access to water and sanitation. Sukodadi Village is one of the villages in Kendal Regency that has succeeded in obtaining budget funds from the government for the construction of PAMSIMAS. The problem in this research is the officer who performs maintenance, operation, control is called BP SPAMS (Management Agency for Drinking Water Supply and Sanitation Facilities), the officer is very difficult in calculating and processing monthly PAMSIMAS payment data. Then a PAMSIMAS Management System will be created using a website-based Codeigniter framework. The system development method used in this study uses the waterfall method. This method aims to describe and sustain the management system at BP SPAMS Suka Makmur. With this system, it can make it easier for officers to serve customers in paying water bills with more effective and more accurate results. computerized. Keywords: PAMSIMAS, Management System, Codeigniter, Waterfall
Proximal Policy Optimization for Adaptive Resource Allocation in Mobile OS Kernels: Enhancing Multitasking Efficiency Machmudi, Moch. Ali; Putra, Yusuf Wahyu Setiya; Naim, Abdul Ghani
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5448

Abstract

Traditional mobile operating system (OS) schedulers struggle to maintain optimal performance amidst the increasing complexity of user multitasking, often resulting in significant latency and energy waste. This study aims to integrate a Proximal Policy Optimization (PPO) based Reinforcement Learning (RL) framework for predictive and adaptive resource allocation. Methodologically, we formulate the scheduling problem as a Markov Decision Process (MDP) where States (S) encompass CPU load, memory usage, and workload patterns; Actions (A) involve dynamic core affinity, frequency scaling, and cgroup adjustments; and Rewards (R) are calculated based on a weighted trade-off between performance maximization and energy conservation. A PPO actor-critic network is implemented and trained on a modified Android kernel (discount factor γ=0.99) under simulated high-load scenarios, including simultaneous video conferencing, data downloading, and web browsing. Experimental results demonstrate that the proposed RL mechanism reduces average task latency by 18% and boosts system responsiveness by 25%, while simultaneously achieving a 12% reduction in CPU power consumption compared to the baseline scheduler. These findings pioneer intelligent OS informatics, offering a robust foundation for sustainable multitasking for over a billion Android users through scalable, on-device fine-tuning.
Co-Authors Abdurrahman Wibisono Mila adminjfik adminjfik adminjfik, adminjfik Afif, Hasnan Ahmad Fakhrudin Mila Ailul Ulun, Nutfah Andre Kurniawan Cisilia Sundari Didin Herlinudinkhaji, Didin Dwi Astuti Dwi ASTUTI Fatimah Nur Arifah Fatkhurrohman Ferry Wahyu Wibowo handayani, riska dwi Hasnan Afif Mila Ita Permatahati Kanafi Kanafi Kanafi Kapti Kapti Kapti Kusrini Machmudi, Moch Ali Machmudi, Moch. Ali Mila, Ahmad Fakhrudin Mila, Didin Herlinudinkhaji Mila, Tri Yusuf Suyatno Mira Fitriana Muhamad Teguh Prayitno Muhammad Abdul Muin Muhammad Fadlil Adhim Muhammad Rafidan Birul Arzaq Muqorobin Muqorobin Naim, Abdul Ghani Nugroho, Fajar Yogi Nurul Hardiyanti Nutfah Ailul Ulun Rafidan Birul Arzaq, Muhammad Riska Dwi Handayani Sri Waluyo Sugeng Wahyudiono, Sugeng Sukris Sutiyatno susilo, Gatot Tri Yusnanto Tri Yusuf Suyatno Mila Wibisono, Abdurrahman Yeza Febriani