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PERANCANGAN GAME “TALES OF SARIP TAMBAK OSO” BERBASIS DESKTOP MENGGUNAKAN UNITY Alvito Dian Pratama Putra; Cindy Taurusta; Irwan Alnarus Kautsar
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1183

Abstract

Folklore is a story from the past that has been passed down from generation to generation in a society that serves as a medium to convey the values contained in the life believed by the community. One of the folktales originating from Sidoarjo that contains character education values in the development of the storyline is "Sarip Tambak Oso". However, in modern times and rapid technological developments like today, the folktale "Sarip Tambak Oso" and other folktales are at risk of extinction, because the impact of globalization has an impact on people's preferences, causing folklore to often be marginalized by popular cultural content from various countries. Therefore, it is necessary to design a game with a combined visual novel genre with an action genre entitled "Tales of Sarip Tambak Oso" as an effort to bring back the folklore of "Sarip Tambak Oso". The development of the Folklore Game "Tales of Sarip Tambak Oso" uses the GDLC (Game Development Life Cycle) method. Some tests that have been carried out are Black Box testing with 100% results and user response testing gets an average result of 89.5%, from the results of these percentages can be stated in the category of very good and is expected to be able to arouse public interest in the folklore of Sidoarjo which began to fade by the entry of outside culture.
IMPLEMENTASI WEB SERVICE UNTUK PLATFORM FREELANCE DIGITAL DENGAN METODE EXTREME PROGRAMMING Rayhanantha Akbar Putra Prasetyo; Irwan Alnarus Kautsar; Hamzah Setiawan
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1207

Abstract

Freelancing has been trending for a few years lately, this kind of job industry is game-changing with many different jobs vacant. Technologies that are established further give new opportunities for freelancing jobs, moving from attending the office to working at home or on our own time services. Web service is one of the most used technologies that have been spread over many uses, it is one of the Application Programming Interface (API) branches, such as providing data and storage of data, this usability helps in many ways of software development, some application required a way to secure their data usage, efficiency on distributing data, easy use for development sustainability and maintainability. Extreme programming is a fast-paced development method that adapts with requisites on developed applications, by using this method hoping to achieve a developed web service could help freelance industries by distributing integrated freelancer data on many freelancing platforms, in in-order to help freelancing platform develop their main features or such add-ons features to help freelancer promote their services within that platform.
RANCANG BANGUN APLIKASI UJI KEMIRIPAN GAMBAR AI GENERATIVE DAN GAMBAR BUATAN TANGAN MENGGUNAKAN METODE DEEP LEARNING Rifqi Alfaesta Prawiratama; Sumarno Sumarno; Irwan Alnarus Kautsar
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1192

Abstract

This research discusses the development of an application to test the similarity between AI Generative images and handmade images using deep learning methods. Artificial Intelligence (AI) technology has been applied to generative art through deep learning algorithms; however, there are still challenges related to copyright and originality of AI Generative art. The aim of this research is to develop an efficient model for classifying AI Generative art and handmade art. The classification model uses a Transformer approach, specifically exploiting the BEiT architecture, which shows highly satisfactory results in image classification tests. The high F1 score in each test reflects a good balance between precision and recall. The Transformer model outperforms previous methods using Convolutional Neural Network (CNN) and VGG16 models. It is expected that this model will be able to classify art more efficiently, assist in the detection of misuse, and mitigate legal risks related to copyright.
IMPLEMENTASI MIKROKONTROLER NODEMCU ESP8266 SEBAGAI PENGENDALI PERANGKAT ELEKTRONIK BERBASIS VOICE ASSISTANT Muhammad Qosdy Jauharul Arzaq; Irwan Alnarus Kautsar; Azmuri Wahyu Azinar
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1262

Abstract

One prominent development is the concept of the Internet of Things (IoT), which connects various physical devices via an internet network. By leveraging platforms like the NodeMCU ESP8266, IoT enables integration between the digital and physical worlds, opening up new opportunities in device monitoring and control. This research aims to implement the NodeMCU ESP8266 microcontroller as a voice assistant-based electronic device controller, by designing and implementing electronic device control using the basis of the Internet of Things (IoT) on a smartphone platform by utilizing the sistem development life cycle (SDLC) model. The research results show that the NodeMCU ESP8266 microcontroller is capable of controlling electronic devices based on voice assistants well. The sistem is able to detect and process voice commands with high accuracy, as well as control connected electronic devices efficiently, with an average success percentage of voice commands of 96.5%.
PENGEMBANGAN PENGENDALI PERANGKAT ELEKTRONIK DENGAN NODEMCU MELALUI BOT TELEGRAM M. Purnomo Adji Saputro; Irwan Alnarus Kautsar; Arif Senja Fitrani; Suprianto Suprianto
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1237

Abstract

In the era of continuing globalization, technological progress is increasingly rapid and motivates people to compete in creating the latest breakthroughs. In this digitalization era, many innovations have emerged that can be maximized in everyday life, one of which is maximizing the Internet of Things with the Telegram application which can controlled via NodeMCU, which is an IoT-based open-source microcontroller that offers extraordinary flexibility and NodeMCU acts as a microcontroller that allows management of electronic devices, connected to Telegram bots operated by programmed software. In the research above, the author used the SDLC approach with the Waterfall method. This research discusses the development of controlling electronic devices with nodemcu via telegram bots as well as knowing the measurement of electrical power consumption when using them. The conclusion of this research shows that building a controller to control IoT-based electronic devices using an Android smartphone provides significant benefits. With this system, users can control devices remotely and at any time without having to approach a physical switch, very useful especially in multi-story buildings. Apart from that, this system also allows real-time measurement of electrical energy consumption, allowing users to monitor power consumption on electronic devices via Telegram bots
Development of a Machine Learning-Based Web Application for Quality Justification in Dialysis Healthcare Nisak, Umi Khoirun; Kautsar, Irwan Alnarus; Ilmi, Laili Rahmatyul; Natasya, Nabila Insyira; Cholifah, Cholifah; Aditiawardana, Aditiawardana
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1962

Abstract

The quality of healthcare services, especially for chronic conditions like kidney failure requiring dialysis, is critical. This study aims to develop a machine learning-based web application to evaluate and justify dialysis healthcare quality. Conducted at Siti Khodijah Hospital from January to June 2024, the research employed a developmental and experimental design involving 123 medical professionals. The methodology included needs assessment, system design, algorithm selection, data collection, model training, system integration, and validation. The web application, named Renal Data Processor, features user-friendly navigation, robust data visualization, and machine learning algorithms. It provides real-time analysis and predictive insights, allowing healthcare providers to make data-driven decisions. Results showed significant improvements, including a 20% reduction in data entry time and a 15% enhancement in nurse certification tracking efficiency. User feedback indicated high satisfaction with the application's functionality and its impact on workflow efficiency. In conclusion, the Renal Data Processor has enhanced dialysis healthcare quality by streamlining data management and providing actionable insights. This study demonstrates the potential of machine learning to transform healthcare delivery and outcomes, suggesting further research to expand its capabilities and applicability in other healthcare settings.
DIGITALISASI SISTEM INFORMASI PENGGAJIAN DAN PENINGKATAN KOMPETENSI AMIL ZAKAT DI LAZISMU JAWA TIMUR Hermawan, Sigit; Kautsar, Irwan Alnarus; Berkah, Dian; Utomo, Prasetyo; Elsaviyanto, Yumna Almnas
Jurnal Kreativitas dan Inovasi (Jurnal Kreanova) Vol 5 No 1 (2025): Januari
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24034/kreanova.v5i1.6920

Abstract

Pengabdian masyarakat ini bertujuan untuk implementasi digitalisasi sistem informasi penggajian dan peningkatan kompetensi amil zakat di Lazismu Jawa Timur. Metode yang digunakan melalui tiga tahapan yaitu tahap persiapan, tahap pelaksanaan, dan tahap evaluasi. Hasil pengabdian menunjukkan bahwa Lazismu Jawa Timur telah mengimplementasikan digitalisasi sistem penggajian, yang ditandai dengan penggunaan sistem informasi penggajian berbasis web dan aplikasi SIGI Amil di Playstore. Dengan adanya digitalisasi ini mempermudah dan mempercepat bagian keuangan dalam aktivitas penggajian bulanan dan data yang dihasilkan lebih akurat. Selain itu, pengabdian yang diberikan kepada amil zakat menghasilkan peningkatan kompetensi dalam menggunakan sistem digital dalam bidang fundraising, serta pemahaman yang lebih baik mengenai kajian islam terkait pentasyarufan dan pendayagunaan zakat. Secara keseluruhan, pengabdian ini tidak hanya meningkatkan keterampilan teknis amil zakat, tetapi juga memperkuat komitmen mereka terhadap prinsip transparansi dan akuntabilitas dalam pengelolaan dana zakat. Dengan adanya digitalisasi, diharapkan pengelolaan zakat di Lazismu Jawa Timur menjadi lebih terstruktur dan mampu memberikan dampak positif yang lebih besar bagi masyarakat.
Aplikasi IT Support Work Orders Berbasis Web Dalam Rangka Menuju Sidoarjo Smart City Aljunza, Marshal Sheva; Findawati, Yulian; Fitrani, Arif Senja; Kautsar, Irwan Alnarus
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.23920

Abstract

One important aspect in supporting the smart city concept is adequate information technology infrastructure. The Sidoarjo district government has made many innovations in making this happen, one of which is the construction of an intranet and internet network using fiber optics which is centered in the Data Center and managed by the Sidoarjo District Communication and Information Center. As a work unit in the field of ICT infrastructure and security at the Sidoarjo Regency Diskominfo, it is responsible for serving reports from the OPD (Regional Apparatus Organization) regarding intranet and internet network problems in the Sidoarjo regency environment. However, the reporting system used is still very simple and manual. The aim of this research is to design and build a web-based system that functions as a complaint, documenting work, and reporting handling related to intranet and internet network problems at the OPD in Sidoarjo Regency. In collecting data, this research used qualitative methods. Meanwhile, system development uses the System Development Life Cycle (SDLC) method with waterfall model, and uses Unified Modeling Language (UML) and Entity Relationship Diagram (ERD) as system modeling. This application was built using PHP with the CodeIgniter framework and MySQL. The results of this research show that the system makes it easier for related parties to make complaints, document work, and report handling.
PERANCANGAN SISTEM INFORMASI ALUMNI TERINTEGRASI BERBASIS WEB (STUDI KASUS DI CORPS ALUMNI HANG TUAH SURABAYA) Naufal, Dimas Fajar; Suryawinata, Mohammad; Kautsar, Irwan Alnarus
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 2 No. 2 (2021): November 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v2i2.459

Abstract

Keberadaan alumni mempunyai peran yang penting untuk instansi pendidikan. Salah satu tolak ukur kualitas suatu perguruan tinggi adalah kualitas alumninya. Karena pentingnya peran alumni, alangkah baiknya suatu perguruan tinggi memiliki sarana untuk menghubungkan alumni dengan almamaternya, baik dengan sesama alumni, dosen, maupun dengan mahasiswa perguruan tinggi yang bersangkutan. Sejak berdiri hingga saat ini Politeknik Pelayaran Surabaya telah menghasilkan ribuan alumni yang tersebar baik dalam maupun luar negeri. Namun informasi alumni tersebut belum terdata dengan rapi, karena hampir semua data masih tersimpan dalam form berbentuk kertas hingga banyak data yang hilang. Dan baru sebagian data yang sudah diinput kedalam program Microsoft Excel. Sehingga akan membutuhkan waktu yang lama dalam proses pencarian data maupun pelayanan administrasi. Penelitian ini menggunakan metode Metode waterfall dan telah dilakukan pengujian dengan metode blackbox dengan hasil semua fungsional berjalan lancar tanpa bug atau error yang ditunjukkan skor 100. Hasil aplikasi perancangan sistem informasi alumni berbasis web ini menggunakan PHP. Dengan adanya aplikasi sistem informasi alumni ini, diharapkan dapat memberikan kemudahan dalam proses pendataan serta mendapatkan informasi yang dibutuhkan tentang alumni yang baru lulus atau sudah lama lulus yang tergabung dalam Corps Alumni hang Tuah Surabaya.
Klasifikasi Kualitas Redaman Kabel Fiber Optik Berdasarkan Terminasi Menggunakan Algoritma K-Means Naufal Galfan Syah; Arif Senja Fitrani; Irwan Alnarus Kautsar; Cindy Taurusta
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1899

Abstract

This study aims to classify attenuation quality in fiber optic networks using the K-Means algorithm. The classification model is designed to group data based on the characteristics of network parameters collected from field measurements. This research also compares the performance of models built with all features and those using selected features. The evaluation uses two main metrics, Sum of Squared Errors (SSE) and Silhouette Coefficient, to assess the quality of the clustering results. Testing shows that the use of selected features produces better clusters, with an SSE of 91.75 and a Silhouette Coefficient of 0.5923, compared to using all features, which results in an SSE of 101.98 and a Silhouette Coefficient of 0.4977. These results indicate that selecting the right features can positively impact cluster quality, although it is not the sole determining factor. Overall, K-Means has been proven effective in grouping attenuation quality, making it useful for supporting efficient fiber optic network maintenance and monitoring.