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All Journal Jurnal Teknologi dan Manajemen Informatika Sistemasi: Jurnal Sistem Informasi Briliant: Jurnal Riset dan Konseptual Journal on Information Systems, Technology of Information and Communications (JoISTIC) INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknik Informatika UNIKA Santo Thomas J-SAKTI (Jurnal Sains Komputer dan Informatika) Building of Informatics, Technology and Science bit-Tech Jurnal Informasi dan Teknologi Idealis : Indonesia Journal Information System Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Abdi Putra Society: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Bhinneka SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer
Alun Sujjada
Universitas Nusa Putra
Agriculture, Biological Sciences & Forestry Humanities 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 Languange, Linguistic, Communication & Media Public Health Social Sciences

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Perbandingan Rest Api Menggunakan Node Js Dan Php Pada Aplikasi Pemilihan Umum Haryadi, Habbyan Lazuard; Sujjada, Alun; Simatupang, Dwi Sartika
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.631

Abstract

This study aims to analyze the comparison of the Representational State Transfer (REST) Application Programming Interface (API) between PHP and Node.js in the context of general election applications. The Prototype System Development Life Cycle (SDLC) method is used for application development. The performance of both programming languages is evaluated based on response speed, ease of development, and system capabilities. Data on Permanent Residents of Malang City with a total of 600 thousand data is used as a sample for database and server testing. The comparison results show that Node.js has a better response speed than PHP. However, PHP has an advantage in terms of ease of development. Both are able to handle applications with a large number of voters based on system capabilities. This research provides insight into the performance of PHP and Node.js in the context of REST API development for election applications
Analisis Clustering Data Penyandang Disabilitas Menggunakan Metode Agglomerative Hierarchical Clustering dan K-means Sujjada, Alun; Insany, Gina Purnama; Noer, Silvia
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 1 (2024): Juni 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i1.10654

Abstract

Disability issues are still a major concern in society due to the discrimination often faced by people with disabilities. Many of them have abilities that are equal to individuals without physical limitations. Through this case study, this research aims to Cluster disability data by considering three types of disabilities: physical, visual and hearing, and hearing and speech using agglomerative hierachical Clustering and kmeans methods. This research was conducted by analyzing data from people with disabilities in 7 provinces in Indonesia. K-means to group data and agglomerative hierarchical Clustering as a centroid determinant in k-means. to enrich the results of data analysis, the EDA (Exploratory Data Analysis) process is used to identify outliers and anomalies. The results of the data analysis show that there are three main Clusters. The first Cluster has a high level of disability and includes 62 cities and districts, the second Cluster has a medium level of disability with 37 cities and districts, and the third Cluster has a low level of disability with 27 cities and districts. The best evaluation using the Davies Bouldin Index method resulted in two Clusters, indicating a better quality of Cluster division. The results of this study provide a better understanding of the distribution of disability in Indonesia, which can be used as a foundation to improve inclusion and accessibility for people with disabilities. Further recommendations can be made based on these findings to improve their situation in terms of employment and education.
SISTEM PENGATUR SUHU KELEMBABAN RUANGAN PADA BUDIDAYA JAMUR TIRAM BERBASIS ARDUINO Mansur Ponimat; Sujjada, Alun
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v6i2.1548

Abstract

One of the businesses that is often in demand by farmers is cultivating oyster mushrooms because oyster mushrooms are very tasty and have many health benefits, but cultivating oyster mushrooms requires quite complicated care, if the temperature and humidity of the environment where the mushrooms grow are abnormal, it will inhibit the growth of the fungus. With this research the author aims to create a system that can regulate and monitor temperature in real time so that fungal growth will be more fertile and increase production. The development method used to make this research is the waterfall method, this method is very easy to use and is able to solve problems quickly. The main purpose of this research is to create a system that can assist oyster mushroom farmers in regulating and monitoring temperature conditions by using a fan and a water pump as a medium for cooling the temperature which is regulated by an Arduino microcontroller.
SISTEM PENGATUR SUHU KELEMBABAN RUANGAN PADA BUDIDAYA JAMUR TIRAM BERBASIS ARDUINO Mansur Ponimat; Sujjada, Alun
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.711 KB) | DOI: 10.54367/jtiust.v6i2.1548

Abstract

One of the businesses that is often in demand by farmers is cultivating oyster mushrooms because oyster mushrooms are very tasty and have many health benefits, but cultivating oyster mushrooms requires quite complicated care, if the temperature and humidity of the environment where the mushrooms grow are abnormal, it will inhibit the growth of the fungus. With this research the author aims to create a system that can regulate and monitor temperature in real time so that fungal growth will be more fertile and increase production. The development method used to make this research is the waterfall method, this method is very easy to use and is able to solve problems quickly. The main purpose of this research is to create a system that can assist oyster mushroom farmers in regulating and monitoring temperature conditions by using a fan and a water pump as a medium for cooling the temperature which is regulated by an Arduino microcontroller.
Sistem Prediksi Konsumsi Energi Listrik Subsidi dan Non Subsidi Berbasis Web dengan Metode RNN (Kasus Kota Sukabumi) Insany, Gina Purnama; Sujjada, Alun; Lidena, Salwa Dwi; Fadilah, Muhammad Sahrul; Wilianti, Refi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.917

Abstract

Sukabumi City experiences an annual increase in electricity consumption, especially in subsidized and non-subsidized categories. However, the energy distribution planning process remains manual and reactive. This research developed a web-based electricity consumption prediction system using the Recurrent Neural Network (RNN) method integrated with the Laravel framework. The development process applied the Rapid Application Development (RAD) method and system modeling using UML. The RNN model achieved a prediction accuracy of 92.4% with an MAE of 12.38 kWh and RMSE of 16.12 kWh. The application provides interactive prediction visualizations to support more efficient energy planning.
Melangkah ke Masa Depan Literasi Digital: Rancang Bangun Sistem Genusian Course Academy dengan Pendekatan Hybrid Collaborative Filtering dan Content-Based Filtering Firdaos, Helfi Apriliyandi; Sujjada, Alun; Somantri, Somantri
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 2 (2025): Volume 10 Nomor 2, Mei 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i2.1957

Abstract

The recommendation system is an important component in enhancing the user experience by providing relevant and personalized course recommendations that align with individual preferences and needs. The Hybrid Collaborative Filtering approach combines the Collaborative Filtering (CF) method, which analyzes user interaction patterns, with the Content-Based Filtering (CBF) method, which evaluates the similarity of course content features. Implementing this hybrid system is expected to overcome the limitations of each method, such as the cold start problem in CF and the limitation of recommendation variety in CBF. This research aims to design a recommendation system in the academic environment known as “Genusian Course Academy”. This hybrid approach is expected to overcome the weaknesses of each approach and result in a more accurate and personalized recommendation system. The implementation of this system is expected to improve the online learning experience and help users find training that matches their needs users.
Pengembangan Sistem Irigasi Tetes Non Circulation Menggunakan Iot dan Analisis Big Data Mustopa, Ato; Sujjada, Alun; Kharisma, Ivana Lucia
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 1 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i1.5388

Abstract

Untuk mengatasi pemborosan air pada tanaman tomat, salah satu solusinya yang bisa digunakan adalah dengan memanfaatkan teknologi Internet of Things (IoT) dan analisis big data. Sistem irigasi tetes non-circulation sangat efisien dalam mengurangi penggunaan air yang berlebihan. IoT dapat membantu petani dalam memantau dan mengendalikan irigasi secara akurat melalui bantuan sensor kelembaban tanah dan nutrisi yang terhubung dengan internet. Data yang dikumpulkan dianalisis secara real-time, Sehingga kebutuhan air dapat diatur sesuai keinginan. Teknologi IoT juga dapat membantu mengontrol sistem irigasi melalui website, sehingga dapat meningkatkan efisiensi waktu dan tenaga. Penelitian ini menggunakan konsep big data untuk mengelola dan menganalisis data irigasi. Data sensor disimpan dalam database online yang dapat diakses petani melalui website. Dengan demikian, petani dapat memantau dan mengatur nutrisi dan air tanaman secara real-time. Dengan penerapan IoT dan analisis big data, penggunaan air dalam irigasi tetes non-circulation pada tanaman tomat hidroponik dapat dioptimalkan, meningkatkan efisiensi, dan mencapai pertanian yang berkelanjutan.
Ear Biometric Identification based on Gabor Filters using Backpropagation Neural Networks Kumaran, Ivano; Yudono, Muchtar Ali Setyo; Sujjada, Alun
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): 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.v13i6.4573

Abstract

The development of reliable security systems is crucial for protecting personal information and access control. Ear biometrics, which utilizes the unique structure of the ear, is a promising method for human identification due to its resistance to forgery. This research aims to design and test an ear biometric identification system using images of the right ear without accessories from five men, totaling 224 images. The preprocessing steps include resizing the images, converting them to grayscale, and applying Gaussian filters. Image segmentation is performed using Canny edge detection, followed by morphological operations such as dilation and hole filling. Features of the ear images are extracted using Gabor filters, and classification is carried out using Backpropagation Neural Networks. The system achieved an average success rate of 88.8% across five testing scenarios, with the highest accuracy of 94% in the first and fifth scenarios. Sensitivity for classes 1, 2, 3, 4, and 5 was 98%, 74%, 92%, 96%, and 82%, respectively. Specificity reached 100% for classes 1 and 3, and 94%, 97.5%, and 94.5% for classes 2, 4, and 5. Based on the results of accuracy, sensitivity, and specificity testing, the ear biometric system using Gabor feature extraction and Backpropagation Neural Network classification demonstrates good performance and potential for security applications.
Backpropagation Design for Authenticating Blood Vessel Patterns of the Back of the Hand Using GLRLM Syam, Fajar M; Yudono, Muchtar Ali Setyo; Sujjada, Alun
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): 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.v13i3.4109

Abstract

Digital security is a critical aspect in the current era of information technology, where access to personal devices and data is often the main target by irresponsible parties. Traditional identification methods such as passwords and PINs are starting to show limitations in addressing increasingly complex security challenges.. The dorsal hand veins offer certain advantages that make them an attractive option for biometric recognition systems because the dorsal hand vein pattern tends to be stable over time, unaffected by external factors such as changes in weather or hygiene. This research aims to develop a system that can identify the blood vessels of the back of the hand as a biometric sign. The approach used involves extracting GLRLM features and applying the Back Propagation Neural Network identification method. The main goal is to achieve a higher level of accuracy than previous studies in the same domain. The identification process involves several stages, starting from image reception, image pre-processing, segmentation, feature extraction, identification, to obtaining images resulting from blood vessel identification. Test results show that the system developed achieved an average success rate of 82.52% based on five different test scenarios. The fourth scenario was proven to provide the highest test accuracy results, namely 87%.
ENKRIPSI DATA CITRA UNTUK MODEL WARNA RGB DAN TRESHOLD MENGGUNAKAN ALGORITMA HILL CIPHER : ENKRIPSI DATA CITRA UNTUK MODEL WARNA RGB DAN TRESHOLD MENGGUNAKAN ALGORITMA HILL CIPHER Juniar, Erlinda; Sujjada, Alun
Prosiding Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer Vol 1 (2022): Sentimeter 2022
Publisher : Prosiding Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer

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

Abstract

Dengan semakin maraknya kejahatan pada media digital terutama pada data citra atau media gambar, semakin mengganggu hak dan privasi setiap orang. Banyak sekali bentuk penyalahgunaan yang terjadi pada media digital ini melalui sarana internet seperti penjiplakan karya fotografer, pengakuan hak milik gambar, sampai dengan mengupload foto-foto privasi seseorang ke media internet. Salah satu cara untuk pengamanan data digital dalam bentuk gambar adalah dengan mengacak (enkripsi) gambar-gambar yang kita rasa sangat penting sehingga gambar tersebut tidak dapat lagi dimaknai oleh orang lain. Jika kita memerlukan data-data tersebut kita tinggal mengembalikannya (dekripsi) sehingga gambar enkripsi tersebut dapat kembali ke bentuk semula. Algoritma Hill Cipher merupakan salah satu metode untuk mengacak sebuah data dengan cara penyandian dan perkalian matriks. Untuk penerapannya kedalam bentuk data citra diperlukan ujicoba dengan membuat sebuah perangkat lunak yang kemudian akan dianalisa hasilnya kedalam beberapa model warna seperti RGB, Grayscale (Keabuan) dan Tresholding (Hitam Putih). Dari hasil pengujian maka dapat disimpulkan bahwa semakin besar nilai input matriks dari Algoritma Hill Cipher, maka hasil enkripsi citra yang didapatkan akan semakin maksimal atau dengan kata lain semakin tidak dapat dimengerti bentuk visualnya oleh manusia. Kemudian Algoritma Hill Cipher tidak dapat diterapkan pada model warna threshold (hitam putih) dikarenakan perkalian matriks yang didapatkan tidak mempunyai nilai kisaran yang beragam.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Aden Rahmat Ramdani Alpariji, Salman Alvira Fauziah Rahmah Alvira Fauziah Rahmah Aulia, Annisa Tasya Dwi Sartika Simatupang Erlinda Juniar Esa Nurfaizah Fadilah, Muhammad Sahrul Fadillah Alviqih falentino sembiring Febriansyah Febriansyah Firdaos, Helfi Apriliyandi Handoko, Kemal Fiqri Harits, Muhammad Harits Firdaus Haryadi, Habbyan Lazuard Hasanah, Nurul Islam Ihsan Nurhuda Indra Yustiana Insany, Gina Purnama Irpanudin Jelita Asian Juniar, Erlinda Kamdan Kamilah, Mirna Khadijah Kibtiyah Kharisma, Ivana Lucia Kumaran, Ivano Lidena, Salwa Dwi Mansur Ponimat Mayang Gunawan Mega Putri Utami Meinanda, Muhamad Dani Mohamad Salman Farizi Muchtar Ali Setyo Yudono Muhamad Ridwan Nullah Muhammad Ikhsan Thohir Mustopa, Ato Noer, Silvia Nugraha Nugraha Nurbilkis, Gina Panji Pratama Putra, Wahyu Irwan Reka Reni Andian Reni Nur Anggraeni Rizal Fadli Rizaldi, Fazrin Muhammad Rizki Maulana Sebayang, Alvin Christoper Sepriyadi, Adi Shalman, Muhamad Somantri Somantri Somantri, Somantri Sulaeman, Asep Surahman Syam, Fajar M Usnul Latipah Vemi Januarita Putri Wilianti, Refi Yunita Ramanda Zaenal Alamsyah Zulia nur permatasari