Article Per Year (5 Year)
p-Index From 2020 - 2025
0.817
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Instal : Jurnal Komputer Jurnal Ekonomi dan Bisnis
Pranoto, Sugeng
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Penerapan UML Dalam Perancangan Sistem Informasi Pelaporan Dan Evaluasi Pembangunan Pada Bagian Administrasi Pembangunan Sekretariat Daerah Kota Tebing Tinggi Pranoto, Sugeng; Sutiono, Sulis; Sarifudin; Nasution, Darmeli
Surplus: Jurnal Ekonomi dan Bisnis Vol. 2 No. 2 (2024): Januari-Juni 2024
Publisher : Yayasan Pendidikan Tanggui Baimbaian

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

Abstract

Sekretariat Daerah Kota Tebing Tinggi merupakan salah satu Organisasi Perangkat Daerah (OPD) di jajaran Pemerintah Kota Tebing Tinggi yang mempunyai kedudukan sebagai unsur staf. Permasahan yang sering terjadi sistem pelaporan dalam bentuk hardcopy yang nantinya akan di rekapitulasi oleh Bagian Administrasi Pembangunan dan dilakukan evaluasi terhadap setiap Laporan Realisasi Anggaran (LRA). Penulis melakukan penelitian yang bertujuan untuk merancang dan membangun sebuah sistem informasi pelaporan dan evaluasi pembangunan pada bagian administrasi pembangunan Sekretariat Daerah Kota Tebing Tinggi. Metode yang digunakan dalam merancang sistem ini menggunakan perancangan UML (Unified Modeling Language), yang terdiri dari Use Case Diagram, Activity Diagram dan Class Diagram.Penggunaan java spring boot memudahkan penulis dalam mengembangkan aplikasi berbasis java berbasis web dengan dukungan editor NetBeans. Hasil implementasi yang telah dilakukan, penulis berhasil membangun sistem informasi pelaporan dan evaluasi pembangunan pada bagian administrasi yang dimanfaatkan oleh bagian sekretariat daerah kota Tebing Tinggi.
Designing an Alumni Information System Based on UML (Unified Modeling Language) Sitorus, Zulham; Pranoto, Sugeng; Sutiono, Sulis; Arief, Muhammad
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.162

Abstract

This research designed a UML-based Alumni Information System for SD IT Jabal Nur Tebing Tinggi. The stages involve collecting data through observation and interviews, followed by designing UML using use case, activity, sequence, and class diagrams. The aim is to facilitate collaboration between schools and system developers, providing a visual depiction of admin and system interactions in managing alumni data. Although still at the design stage, the results provide a strong basis for further implementation, with the potential to increase efficiency and support future school development. The suggestion involves a system implementation phase to test the effectiveness of the design, accompanied by clear documentation for system maintenance and new user training.
A Business Intelligence: Enhancing Apache Superset Capabilities in PBB-P2 Receivables Monitoring: - Pranoto, Sugeng; Wahyuni, Sri; Novelan , Muhammad Syahputra
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14611

Abstract

PBB-P2 Tax Revenue plays an essential role in regional finance, but managing receivables and analyzing taxpayer compliance levels still face many challenges. Business Intelligence (BI) technologies such as Apache Superset are often used for interactive data visualization. Still, they have limitations in advanced analysis, especially the application of machine learning algorithms such as K-Means for data clustering. This research aims to overcome the limitations of Apache Superset by developing an external application-based solution using the Java programming language and the SMILE library. This application is designed to cluster the level of taxpayer compliance in a batch process, with the results stored in the MySQL database. The clustered data is then visualized using Apache Superset. The results show that integrating these external applications can improve the efficiency of data analysis by utilizing more complex clustering algorithms. Visualization of clustering results also allows for more effective management of PBB-P2. This approach not only expands the capabilities of Apache Superset but also contributes to supporting data-driven tax revenue optimization strategies. This research opens up further opportunities for the integration of BI tools with machine learning algorithms in monitoring and managing complex data in the tax sector
Co-Authors Arief, Muhammad Nasution, Darmeli Novelan , Muhammad Syahputra SARIFUDIN Sitorus, Zulham Sri Wahyuni Sutiono, Sulis