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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Sistemasi: Jurnal Sistem Informasi Jurnal Pilar Nusa Mandiri JUTIK : Jurnal Teknologi Informasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING ILKOM Jurnal Ilmiah Building of Informatics, Technology and Science Respati JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Information System Journal (INFOS) JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer KLIK: Kajian Ilmiah Informatika dan Komputer SmartComp Intechno Journal : Information Technology Journal The Indonesian Journal of Computer Science Tanggap Masyarakat untuk Aksi dan Sinergi
Andriyan Dwi Putra
Universitas Amikom Yogyakarta, Yogyakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Social Sciences

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ANALYSIS OF THE NEED FOR AN INFORMATION SYSTEM ON PRICES AND AVAILABILITY OF BASIC MATERIALS Putra, Andriyan Dwi; Rohmaniah, Diana
Jurnal Pilar Nusa Mandiri Vol. 21 No. 2 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i2.7240

Abstract

The development of information technology has driven digital transformation in various sectors, including the economic sector. Managing data on the prices and availability of basic commodities is crucial for maintaining community economic resilience. This study applies a design thinking approach to analyze the need for an information system on the prices and availability of basic commodities in Yogyakarta City, with a testing plan prepared using black box, white box, and security methods. The analysis produced three main findings: the need for Single Sign-On (SSO) with role-based access, real-time monitoring of commodity prices, and cross-agency integration in agenda and program management. The proposed system design consists of four main modules: administration, agenda, services, and programs/activities. Since this study is limited to the needs analysis and prototype design stage, empirical test results are not yet available. Nevertheless, the study provides an initial framework and foundation for cross-agency integration in the Yogyakarta City Government to support transparency, coordination, and control of basic commodity prices.
Pengembangan Sistem Pemantauan dan Pengendalian Jarak Jauh Berbasis IoT pada Penerangan Jalan Permukiman Ichsan Wasiso; Andriyan Dwi Putra; Arif Nur Rohman
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1986

Abstract

Street lighting in residential areas, mainly rural or suburban areas, is vital in improving public safety, comfort, and security. However, many existing lighting systems still need to be more efficient, with high energy consumption and manual monitoring. This causes delays in repairs when damage or disruption occurs. This study aims to develop a Remote Monitoring and Control System for Street Lighting (SITERANG) based on the Internet of Things (IoT) to overcome these problems. The SITERANG system allows real-time and centralized monitoring of street lighting conditions. It offers energy-saving solutions through lighting intensity settings that can be adjusted according to needs, such as at night when community activity is reduced. SITERANG has lighting asset management features, automatic ON/OFF control, and a centralized monitoring system, allowing efficient energy consumption and cost analysis. The test results show that this system has been proven to save energy consumption by up to 49.17% compared to conventional lighting systems, directly reducing operational costs and electricity bills. The implementation of SITERANG offers a sustainable and efficient solution, providing significant energy savings and facilitating the maintenance of street lighting infrastructure in densely populated residential areas.
Job Market Test Attendance System With Health Protocols Using The Internet Of Things Putra, Andriyan Dwi; Hakim, Lukman; Mustopa, Ali
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2910

Abstract

During the transitional period related to the coronavirus outbreak, the need for jobs began to increase. The number of prospective workers who will apply for a job in a company by doing a selection test at the Job Exchange. On the other hand, to suppress the spread of this epidemic, the interaction between Job Exchange officers and prospective job applicants must be limited. So by creating a Job Exchange Test attendance system according to health protocols with the Internet of Things devices, it can be used to limit the interaction of prospective job applicants with job exchange officers. This system was built using the Waterfall Model Software Development Life Cycle method, by utilizing the ESP8266 microcontroller components, the MFRC522 module, and the MLX90614 sensor which will support the performance of this system. The results of this study are taboos for prospective job applicants who have an illegal condition or have a temperature above normal, may not enter the room without interacting directly with the officer, but the device will sound a buzzer notification and a warning message will be sent from the microcontroller and received by the officer via telegram. In this study, a comparison was made to obtain the ideal distance for scanning body temperature at various different distances, and the results of the comparison obtained the smallest percentage error value of 0.027% at a distance of 3 cm.
Analisis dan Implementasi Keamanan Jaringan File Transfer Protocol (FTP) Menggunakan Intrusion Prevention System (IPS) pada Mikrotik Putra, Andriyan Dwi; Alghozy, Muhammad Thorriq Ridho Bey
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 4 (2022): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v11i4.4263

Abstract

Perkembangan teknologi pada bidang komunikasi dan informasi mengalami peningkatan yang pesat, dampak dari kemajuan ini terlihat didalam pengolahan data. Pengolahan data dilakukan melalui media transmisi elektronik, media tersebut dikenal dengan File Transfer Protocol (FTP), FTP digunakankan sebagai media transfer data atau file dalam lingkup suatu jaringan. FTP merupakan salah satu pilihan yang tepat dalam penyimpanan file, karena proses upload dan download bisa digunakan secara cepat dan efektif. Namun dengan perkembangan teknologi yang pesat ini banyak alat atau tools yang dapat digunakan untuk melakukan tindakan kejahatan seperti brute force FTP, port scanning, dan DDoS (ICMP flood). Maka dibutuhkan sebuah sistem yang mampu melakukan tindakan prevention dan digunakanlah metode Intrusion Prevention System (IPS). IPS mempunyai fungsi untuk mengamati, mengidentifikasi tindakan mencurigakan, dan melakukan monitoring serta pencegahan serangan dengan memblokir semua ancaman secara otomatis. Karena itu IPS bisa disebut sebagai gabungan dari IDS yang melakukan moniroting dan prevention layaknya firewall. Maka dari itu IPS dapat diterapkan pada router MikroTik sebagai metode keamananya untuk mencegah serangan ke FTP server yang terdapat di router MikroTik.Dari percobaan serangan seperti bruteforce FTP, port scanning, dan DDoS (ICMP flood). Didapat hasil yaitu serangan Brute Force FTP tidak mampu membobol akses akun FTP dengan tingkat keberhasilan 0, Port Scanning juga tidak mampu melanjutkan serangan, walaupun pada port 21 beberapa kali terscan karena IPS mendrop serangan. Pada serangan ICMP Flood dapat membebani server pada saat belum menerapkan IPS dengan tingkat CPU load 63%-100% dan setelah menerapkan IPS CPU load hanya 13%-36% yang membuat server tetap stabil.
Stroke prediction using data balancing method and extreme gradient boosting Rahim, Abd Mizwar A.; Baita, Anna; Asharudin, Firman; Ashari, Wahid Miftahul; Hakim, Walidy Rahman; Putra, Andriyan Dwi; Supriatin, Supriatin; Pramono, Eko
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp655-671

Abstract

Stroke is one of the leading causes of death worldwide, creating an urgent need for effective early detection systems, particularly because conventional methods often struggle with class imbalance and produce biased evaluations. Previous studies have primarily focused on accuracy while overlooking model consistency, data pre-processing quality, and probability-based evaluation. This study evaluates model performance under three conditions: original data using extreme gradient boosting (XGBoost) with scale_pos_weight, original data using the easy ensemble classifier, and class-balanced data generated using random oversampling (ROS), adaptive synthetic sampling (ADASYN), and synthetic minority over-sampling technique (SMOTE). Each model underwent missing value handling, normalization, feature preparation, and hyperparameter optimization using grid search. Performance was assessed using area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC), confidence intervals, calibration curves, Shapley additive explanations (SHAP), decision curve analysis (DCA), and external validation. The results demonstrate that data resampling significantly improves performance, with the XGBoost-SMOTE combination achieving the best results, including an accuracy of 0.99, AUROC of 0.998, and AUPRC of 0.986, outperforming the other approaches. This method provides more consistent and balanced predictions, supporting the application of artificial intelligence for early stroke risk identification.
ANALYSIS OF THE NEED FOR AN INFORMATION SYSTEM ON PRICES AND AVAILABILITY OF BASIC MATERIALS Putra, Andriyan Dwi; Rohmaniah, Diana
Jurnal Pilar Nusa Mandiri Vol. 21 No. 2 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i2.7240

Abstract

The development of information technology has driven digital transformation in various sectors, including the economic sector. Managing data on the prices and availability of basic commodities is crucial for maintaining community economic resilience. This study applies a design thinking approach to analyze the need for an information system on the prices and availability of basic commodities in Yogyakarta City, with a testing plan prepared using black box, white box, and security methods. The analysis produced three main findings: the need for Single Sign-On (SSO) with role-based access, real-time monitoring of commodity prices, and cross-agency integration in agenda and program management. The proposed system design consists of four main modules: administration, agenda, services, and programs/activities. Since this study is limited to the needs analysis and prototype design stage, empirical test results are not yet available. Nevertheless, the study provides an initial framework and foundation for cross-agency integration in the Yogyakarta City Government to support transparency, coordination, and control of basic commodity prices.
Supervised Machine Learning Model untuk Prediksi Penyakit Hepatitis Putra, Andriyan Dwi; Nurani, Dwi; Dewi, Melany Mustika; Rahmi, Alfie Nur; Supriatin
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3817

Abstract

Hepatitis menjadi salah satu penyakit mematikan yang diakibatkan karena peradangan yang terjadi pada organ hati manusia. Hepatitis seringkali disebabkan karena infeksi virus dan gaya hidup yang tidak sehat. Hepatitis bahkan bisa menular apabila dikaitkan dengan infeksi dari adanya virus tertentu. Hepatitis perlu dideteksi secara dini dan diantisipasi sedini mungkin sehingga tidak mengakibatkan adanya penyakit komplikasi yang lebih serius yang bahkan dapat mengakibatkan terjadinya kematian. Perkembangan teknologi informasi dan komunikasi yang terus berkembang hingga saat ini memungkinkan penyakit hepatitis untuk dapat dikenali dan diprediksi. Salah satunya menggunakan teknologi pembelajaran mesin. Pada penelitian ini, metode supervised learning yang menerapkan algoritma Naïve Bayes dan KNearest Neighbor digunakan untuk memprediksi adanya penyakit hepatitis. Dengan menggunakan dataset yang diunduh secara langsung dari halaman website UCI Machine Learning Repository, Naïve Bayes menghasilkan nilai akurasi sebesar 91.67% dengan nilai presisi dan recall mencapai 95%, Sedangkan penggunaan K-Nearest Neighbor menghasilkan nilai akurasi sebesar 95.8%, dengan adanya perbedaan nilai presisi dan recall sebesar 1%, menunjukkan bahwa penggunaan pervised machine learning model berdasarkan algoritma Naïve Bayes dan K-Nearest Neighbor memiliki potensi untuk digunakan dalam pengembangan berbagai sistem terutama untuk prediksi penyakit hepatitis.
Abstractive Text Summarization using Pre-Trained Language Model "Text-to-Text Transfer Transformer (T5)" Itsnaini, Qurrota A’yuna; Hayaty, Mardhiya; Putra, Andriyan Dwi; Jabari, Nidal A.M
ILKOM Jurnal Ilmiah Vol 15, No 1 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i1.1532.124-131

Abstract

Automatic Text Summarization (ATS) is one of the utilizations of technological sophistication in terms of text processing assisting humans in producing a summary or key points of a document in large quantities. We use Indonesian language as objects because there are few resources in NLP research using Indonesian language. This paper utilized PLTMs (Pre-Trained Language Models) from the transformer architecture, namely T5 (Text-to-Text Transfer Transformer) which has been completed previously with a larger dataset. Evaluation in this study was measured through comparison of the ROUGE (Recall-Oriented Understudy for Gisting Evaluation) calculation results between the reference summary and the model summary. The experiments with the pre-trained t5-base model with fine tuning parameters of 220M for the Indonesian news dataset yielded relatively high ROUGE values, namely ROUGE-1 = 0.68, ROUGE-2 = 0.61, and ROUGE-L = 0.65. The evaluation value worked well, but the resulting model has not achieved satisfactory results because in terms of abstraction, the model did not work optimally. We also found several errors in the reference summary in the dataset used.
Co-Authors Adinda Permata Ardhyasa Aditya Himawan Adrian Raditya Rahma Ahmad Syafiq Alghozy, Muhammad Thorriq Ridho Bey Ali Mustopa, Ali Ardiansyah, Ipung Arif Nur Rohman Ashari, Wahid Miftahul Asharudin, Firman Baita, Anna Bayu Setiaji Dwi Nurani Dwi Nurani, Dwi Eko Pramono Firman Asharudin Gonzaga, Alexander Hakim, Walidy Rahman Hamid, Nadila Haryoko Haryoko Hayaty, Mardhiya I Gede Febri Tanaya Ichsan Wasiso Ikmah Ikmah Imsak Lukiwidura Yanuar Ipung Ardiansyah Ipung Ardiyansyah Itsnaini, Qurrota A’yuna Jabari, Nidal A.M Jeki Kuswanto Jeki Kuswanto Joko Dwi Santoso JOKO DWI SANTOSO Kusrini, Kusrini Lukman Hakim Lukman Lukman Mahananing Puri, Fiyas Muhammad Burhan Aulawi Muhammad Tofa Nurcholis Muhammad Yuga Nugraha Muktafin, Elik Hari Nur'aini Putra, Wahyu Sukestyastama Rahim, Abd Mizwar A. Rahmi, Alfie Nur Ria Andriani Rifda Faticha Alfa Aziza Rohmaniah, Diana Roy Rudolf Huizen Sa’di, Ahmad Sismoro, Heri Subekti, Janji Nur SUPRIATIN Supriatin Supriatin, Supriatin Tri Atmaja Ramadhani, Surya