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All Journal International Journal of Electrical and Computer Engineering Jurnal Pilar Nusa Mandiri Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Journal of Students‘ Research in Computer Science (JSRCS) Reputasi: Jurnal Rekayasa Perangkat Lunak
Rosiyadi, Didi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Pengelompokan Dampak Gempa Bumi dan Kerusakan Pada Wilayah Berpotensi Gempa di Provinsi Sumatera Barat Sugiyarto, Ipin; Irawan, Rama; Rosiyadi, Didi
Journal of Students‘ Research in Computer Science Vol. 2 No. 2 (2021): November 2021
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/81fwpe68

Abstract

Earthquake disaster data represent knowledge from the West Sumatra Province, data taken from the official website of the National Disaster Management Agency that occurred in the period 2001 to 2018. Clustering data mining techniques are used to determine the earthquake impact area using Knowledge Discovery Data. Mining Method (KDD) consisting of Domain Understanding, Additional Selection (Data Selection), Preprocessing (Data Cleaning, Data Sampling), Transformation (Data Normalization), Data Mining (K-means & Linear Regression), Evaluation and Interpretation (cluster & Prediction). The results showed that the use of the K-Means method resulted in 3 clusters with the largest earthquake impact in the city of Padang in 2009, while the use of Linear Regression estimates the impact of victims and damage to facilities and units that often occur in earthquake locations. The purpose of the research is to implement and categorize and predict to find out the results of the impact and damage of the earthquake that occurred in the province of West Sumatra.
Privacy-preserving reservation model for public facilities based on public Blockchain Basuki, Akbari Indra; Rosiyadi, Didi; Susanto, Hadi; Setiawan, Iwan; Salim, Taufik Ibnu
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i4.pp4418-4429

Abstract

Ensuring fairness in the utilization of government-funded public facilities, such as co-working spaces, sports fields, and meeting rooms, is imperative to accommodate all citizens. However, meeting these requirements poses a significant challenge due to the high costs associated with maintaining digital infrastructure, employee wages, and cybersecurity expenses. Fortunately, Blockchain smart contracts present an economical and secure solution for managing digital infrastructure. They offer a pay-per-transaction schema, immutable transaction records, and role-based data updates. Despite these advantages, public blockchains raise concerns about data privacy since records are publicly readable. To address this issue, this study proposes a privacy-preserving mechanism for public facilities' reservation systems. The approach involves encrypting the reservation table with fully-homomorphic encryption (FHE). By employing FHE with binary masking and polynomial evaluation, the reservation table can be updated without decrypting the data. Consequently, citizens can discreetly book facilities without revealing their identities and eliminating the risk of overlapping schedules. The proposed system allows anyone to verify reservations without disclosing requested data and table contents. Moreover, the system operates autonomously without the need for human administration, ensuring enhanced user privacy.
OPTIMALISASI KLASIFIKASI BERITA MENGGUNAKAN FEATURE INFORMATION GAIN UNTUK ALGORITMA NAIVE BAYES TERHUBUNG RANDOM FOREST Prakoso, Bobby Suryo; Rosiyadi, Didi; Aridarma, Dedi; Utama, Heru Sukma; Fauzi, Fariz; Qhomar, Mohammad Arifin Nurul
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1384.907 KB) | DOI: 10.33480/pilar.v15i2.684

Abstract

Penelitian ini adalah tentang pengklasifikasian berita yang mengoptimalisasi dengan kombinasi antar algoritma. Tentang dataset yang digunakan diambil pada situs pemberitaan online. Algoritma yang digunakan adalah algoritma Naive Bayes Classifier, dan Random Forest dengan pembobotan seleksi fitur Information Gain. Dataset yang digunakan terdapat 615 dataset dengan 3 katagori atau tema berita. Dalam permodelan terdapat 6 model skenario sebagai pembanding untuk menentukan skenario mana yang mendapatkan nilai terbaik, berdasarkan hasil penelitian ini nilai terbaik didapatkan oleh model Remove Useless Attributes, Naive bayes Classifier-Multinomial, dan Random Forest-Feature Selection Information gain. Hasil evaluasi yang didapatkan adalah nilai accuracy 85.67%, nilai recall 85.67%, dan nilai precision 86.23
SENTIMEN ANALISIS KEBIJAKAN GANJIL GENAP DI TOL BEKASI MENGGUNAKAN ALGORITMA NAIVE BAYES DENGAN OPTIMALISASI INFORMATION GAIN Utama, Heru Sukma; Rosiyadi, Didi; Aridarma, Dedi; Prakoso, Bobby Suryo
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1207.156 KB) | DOI: 10.33480/pilar.v15i2.705

Abstract

Analysis of the odd even-numbered sentiment systems in Bekasi toll using the Naïve Bayes Algorithm, is a process of understanding, extracting, and processing textual data automatically from social media. The purpose of this study was to determine the level of accuracy, recall and precision of opinion mining generated using the Naïve Bayes algorithm to provide information community sentiment towards the effectiveness of the odd system of Bekasi tiolls on social media. The research method used in this study was to do text mining in comments-comments regarding posts regarding even odd oddities on Bekasi toll on Twitter, Instagram, Youtube and Facebook. The steps taken are starting from preprocessing, transformation, datamining and evaluation, followed by information gaon feature selection, select by weight and applying NB Algorithm model. The results obtained from the study using the NB model are obtained Confusion Matrix result, namely accuracy of 79,55%, Precision of 80,51%, and Sensitivity or Recall of 80,91%. Thus this study concludes that the use of Support Vector Machine Algorithms can analyze even odd sentiments on the Bekasi toll road.
Rancang Bangun Aplikasi Presensi Instruktur Bebasis Android Menggunakan Framework Flutter Pada LKP Bright School Lampung Timur Kurniawan, Rohim; Rosiyadi, Didi; Hardi, Nila
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 5 No. 2 (2024): Edisi November 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v5i2.5871

Abstract

Abstrak - Perkembangan teknologi saat ini telah memberikan dampak positif dalam berbagai bidang, termasuk dalam dunia pendidikan. Salah satu perkembangan yang dapat dimanfaatkan adalah penggunaan aplikasi mobile sebagai media pembelajaran. Sudah selayaknya teknologi informasi diterapkan di instansi pendidikan salah satu contohnya aplikasi mobile dapat menjadi alat yang efektif bagi para instruktur untuk melakukan presensi. Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi berbasis android presensi instruktur menggunakan teknologi Flutter. Flutter adalah sebuah framework open-source yang dikembangkan oleh Google untuk membangun aplikasi mobile multi-platform. Metode penelitian dan pengembangan yang digunakan adalah Agile Metodology dengan framework Scrum. Tahap analisis dilakukan untuk mengidentifikasi kebutuhan pengguna, tahap desain dilakukan untuk merancang antarmuka dan fitur aplikasi, tahap impelementasi dilakukan untuk membangun aplikasi, dan tahap evaluasi dilakukan untuk menilai kelayakan aplikasi. Hasil penelitian menunjukkan bahwa aplikasi instruktur yang dikembangkan dengan menggunakan framework Flutter dapat berjalan dengan baik pada perangkat mobile berbasis Android. Aplikasi ini menyediakan fitur-fitur yang memudahkan instrukturpada lembaga kursus dalam melakukan presensi kehadiran dan bagi admin lembaga kursus dan pelatihan Bright School memudahkan dalam memantau rekap presensi serta mengolah data presensi. Kata Kunci: Flutter, Android, Presensi Abstract - The current development of technology has had a positive impact on various fields, including education. One of the developments that can be utilized is the use of mobile applications as a learning medium. Information technology should be applied in educational institutions, one example being that mobile applications can serve as an effective tool for instructors to manage attendance. This study aims to develop an Android-based attendance application for instructors using Flutter technology. Flutter is an open-source framework developed by Google for building multi-platform mobile applications. The research and development methodology used is Agile Methodology with the Scrum framework. The analysis phase was carried out to identify user needs, the design phase was conducted to design the interface and features of the application, the implementation phase was executed to build the application, and the evaluation phase was done to assess the feasibility of the application. The results of the study indicate that the instructor attendance application developed using the Flutter framework can run well on Android-based mobile devices. This application provides features that facilitate instructors at training institutions in managing attendance, and for the admin of Bright School training institutions, it simplifies monitoring attendance records and processing attendance data. Keywords: flutter, android, attendance
Low-dose computed tomography image denoising using graph wavelet transform with optimal base Setiawan, Iwan; Hidayat, Rachmat; Najar, Abdul Mahatir; Jaya, Agus Indra; Rosiyadi, Didi
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp1696-1708

Abstract

Noise in electronic components of computed tomography (CT) detectors behaves like a virus that infects visual quality of CT scans and might distort clinical diagnosis. Modern CT detector technology incorporates high-quality electronic components in conjunction with signal and image processing to ensure optimal image quality while retaining benign doses of x-rays. In this study, a new strategy in signal and image processing directions is proposed by finding the most optimal wavelet base for denoising low-dose CT scan data. The process begins by selecting the appropriate wavelet bases for CT image denoising, followed by a wavelet decomposition, thresholding, and reconstruction. Other methods, such as graph wavelet and learning-based, are used to assess the consistency of the outcomes. The wavelet base of biorthogonal 5.5 achieves the highest optimum performance for CT image denoising. Meanwhile, the Daubechies wavelet base is inconsistent and performs poorly compared to the optimum base. This research highlights the importance of wavelet properties such as orthogonality, regularity, and the number of vanishing moments in selecting an appropriate wavelet basis for noise reduction in CT images.
Perancangan Arsitektur Enterprise untuk Mendukung Proses Bisnis Menggunakan TOGAF Architecture Development Methode (ADM) di STMIK Dharma Negara Mulyanto, Yudi; Rosiyadi, Didi
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 4 No. 2 (2018): November 2018
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v4i1.1398

Abstract

Pembangunan dan pengembangan arsitektur enterprise dan sistem informasi sudah selayaknya direncanakan dan dirancang secara baik serta disesuaikan dengan kebutuhan dan kemampuan organisasi. Perancangan yang baik akan memberikan manfaat yang besar bagi pembangunan atau pengembangan arsitektur enterprise, baik dari sisi sumber daya manusia, anggaran dan kesiapan organisasi dalam melaksanakan rencana tersebut. Pada penelitian ini fase-fase dalam togaf ADM tidak digunakan seluruhnya, penelitian ini hanya menggunakan tujuh fase dari sembilan fase togaf ADM yaitu fase preliminary, fase arsitektur visi, fase arsitektur bisnis, fase arsitektur sistem informasi, fase arsitektur teknologi, fase oputunity and solution, fase migration planning. Fase pertama dari pengembangan arsitektru enterprise ini adalah fase preliminary, output dari fase preliminary menjadi inputan pada fase awal dari fase togaf ADM yaitu arsitektur visi dan dari inputan tersebut menghasilkan struktur organisasi baru yang akan diusulkan. Pada fase selanjutnya proses bisnis juga dianalisa dengan menggunakan analisis Value Chain.
Perancangan Perangkat Lunak Berbasis Website Menggunakan Stack (MEN) MongoDB, Express Dan NodeJS Dengan Templating EJS Pada TK Cahaya Mutiara Jakarta Cahya, El Rangga Un; Rosiyadi, Didi; Hardi, Nila
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 6 No. 1 (2025): Mei 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v6i1.5882

Abstract

Pada era society 4.0 yang sedang berkembang seperti sekarang ini, kesuksesan seringkali dapat ditentukan oleh kemampuan seseorang dalam mendapatkan informasi dengan cepat. Termasuk dalam konteks pendidikan, pengelolaan informasi di sekolah menjadi lebih efisien dengan dukungan teknologi. Penelitian ini bertujuan untuk membangun portal sekolah di TK Cahaya Mutiara dengan memanfaatkan teknologi modern seperti Node.js, Express, MongoDB, serta template EJS. Proses pengembangan dilakukan menggunakan metode Waterfall, yang melibatkan lima tahap utama: analisis kebutuhan, desain sistem, implementasi, pengujian, serta deployment dan pemeliharaan. Pada tahap analisis kebutuhan, dilakukan identifikasi terhadap kebutuhan fungsional dan non-fungsional sistem yang disesuaikan dengan kebutuhan sekolah. Desain sistem mencakup perancangan arsitektur, antarmuka pengguna, dan basis data yang mendukung kelancaran operasional portal. Implementasi dilakukan melalui pengkodean menggunakan Node.js dan Express untuk backend, MongoDB untuk manajemen data, serta integrasi template EJS untuk tampilan dinamis. Pengujian sistem dilakukan dengan metode black box untuk mengevaluasi fungsionalitas dan kinerja portal secara keseluruhan. Deployment sistem dilakukan pada lingkungan produksi menggunakan Virtual Private Server (VPS) guna memastikan aksesibilitas yang optimal. Hasil penelitian menunjukkan bahwa portal sekolah yang dikembangkan mampu memenuhi kebutuhan informasi secara efektif, memudahkan siswa, guru, dan orang tua dalam mengakses informasi sekolah. Penggunaan teknologi Node.js, Express, MongoDB, dan EJS terbukti efektif, sementara proses pengujian dan deployment menjamin kualitas serta keandalan sistem.
Co-Authors Abdul Mahatir Najar Agus Indra Jaya Aridarma, Dedi Basuki, Akbari Indra Cahya, El Rangga Un Fauzi, Fariz Hadi Susanto Irawan, Rama Iwan Setiawan Kurniawan, Rohim Mulyanto, Yudi Nila Hardi Prakoso, Bobby Suryo Qhomar, Mohammad Arifin Nurul RACHMAT HIDAYAT Salim, Taufik Ibnu Sugiyarto, Ipin Utama, Heru Sukma