cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Munawir
Contact Email
muna.janeeta@gmail.com
Phone
+62895323771682
Journal Mail Official
upik.srisulis@gmail.com
Editorial Address
Jl. D.Kalimutu No.53, Lelateng, Kec. Negara, Kabupaten Jembrana, Bali 82214
Location
Kota banda aceh,
Aceh
INDONESIA
Jurnal Manajemen Sistem Informasi
Published by Lembaga Mitra Solusi Teknologi Informasi
ISSN : 28291743     EISSN : 28291735     DOI : https://doi.org/10.35870/jmasif
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal Manajemen Sistem Informasi (JMASIF), with ISSN 2829-1735 (Online) and 2829-1743 (Print) published by Research Division Lembaga Mitra Solusi Teknologi Informasi (L-MSTI). It is a biennial refereed journal covering information technology, information management, visual communication design and fields of informatics & computer engineering which have never been published in any scientific journal. It provides a forum for academics, practitioners and community representatives to explore technology as it relates to the various activities involved. This journal is a peer-reviewed online journal dedicated to high-quality research publications focused on research, implementation.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2023): April 2023" : 5 Documents clear
Sistem Pengendalian Lampu Ruangan Menggunakan Sumber Energi Panel Surya Berbasis IoT (Internet of Thing) Faritcan Siallagan, Timbo; Susanti, Eka
Jurnal Manajemen Sistem Informasi (JMASIF) Vol. 2 No. 1 (2023): April 2023
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jmasif.v2i1.154

Abstract

Efficient use of energy is emphasized in the use of electronic equipment. It aims to create an environmentally friendly technology. No exception for lighting in homes, buildings, schools and so on. Often, we see many room lights that turn on when not in use. This can be a huge waste of electricity. For this reason, a solution to this problem is needed, so an energy-efficient automatic lamp is needed. This lighting system aims to adjust the lighting conditions automatically based on the surrounding conditions. This system will detect the brightness or dimness of a room. If the room is bright enough, the light will turn off. However, when the room is dark, the lights will automatically turn on. The main energy source for this lamp is not from PLN electricity, but from solar panels. The use of solar panels aims to save electricity from PLN and utilize energy sources that are free and available for a very long time. This solar panel-based lighting system is already running well. This system is already able to utilize energy from the sun through solar panels to charge the battery, and the output of the system is that the lights are controlled automatically by the sensor block according to environmental conditions.
Deteksi Atap Bangunan Berbasis Citra Udara Menggunakan Google Colab dan Algoritma Deep Learning YOLOv7 Gelar Guntara, Rangga
Jurnal Manajemen Sistem Informasi (JMASIF) Vol. 2 No. 1 (2023): April 2023
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jmasif.v2i1.156

Abstract

This article presents a deep learning-based approach for roof building detection in aerial imagery using the Yolov7 algorithm and Google Colab. We trained the Yolov7 model on a dataset of annotated aerial images and tested its performance on a testing set of 200 images. Our experimental results show that the Yolov7 model achieved an F1 score of 80% for roof building detection on the testing set, indicating that our approach can accurately detect roof buildings in aerial imagery. This approach can be useful in various applications, such as urban planning, disaster management, and infrastructure development. The availability of aerial imagery and the ability to use deep learning algorithms make it possible to automate the process of roof building detection, which can save time and resources. This research can be extended by investigating the use of other deep learning algorithms or combining multiple algorithms to improve the accuracy of roof building detection in aerial imagery.
Sistem Informasi Manajemen dalam Intelijen Bisnis Deffari, Tantri; Irwan Padli, Muhammad; Ayu Sundari, Suci
Jurnal Manajemen Sistem Informasi (JMASIF) Vol. 2 No. 1 (2023): April 2023
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jmasif.v2i1.93

Abstract

Management information systems in business intelligence can be said to process and analyze data related to business, the purpose of which is to assist businesses in making the right decisions. Business intelligence allows organizations to manage data, and turn it into information so that it is not fixated on numbers alone. However, businesses can better assess and improve their performance, budget cost-effectively, and find new business prospects when using business information. Many other elements affect sales besides the price and quality of the goods, such as the nature of the buyer, geographical factors, and other aspects. These reasons make business intelligence work very important. Business intelligence is one of them where business people or companies need tools. This business intelligence processes data into information about the products offered so that business people or companies can later make assessments.
Penerapan Metode SAW Dalam Sistem Keputusan Pemilihan Karyawan Terbaik Pada Butik Alratz Official Novianti, Erin; Annisa Rahma, Wanda
Jurnal Manajemen Sistem Informasi (JMASIF) Vol. 2 No. 1 (2023): April 2023
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jmasif.v2i1.271

Abstract

This research aims to optimize the decision-making process in selecting the best employees at Alratz Official Boutique. The Simple Additive Weighting (SAW) method is applied in the decision system to analyze relevant criteria, such as skills, experience, and previous performance. This research integrates employee data, utilizing information technology to improve objectivity and efficiency in decision-making. The results of the study show that the application of the SAW method can increase the accuracy and speed of the employee selection process, assisting management in building a productive and high-performance team. The practical implications of this research can make a positive contribution to companies in improving productivity and service quality. Based on this, a company is inseparable from the role of humans to work in it. Quality to increase the productivity of a company's performance is one of the Human Resources (HR) factors. Therefore, a company needs to conduct an employee performance assessment for its success or unsuccess in performing tasks.
aa Adellia, Edis; Rizki Romadon, Prabowo
Jurnal Manajemen Sistem Informasi (JMASIF) Vol. 2 No. 1 (2023): April 2023
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jmasif.v2i1.272

Abstract

Crime among young people in Palembang City has become an increasingly concerning issue. This phenomenon includes a wide range of crimes ranging from theft to drugs, which show,s an alarming upward trend. This study aims to analyze the factors that drive crime among young people in Palembang, as well as their impact on society and urban development. The study uses a combination of interviews, surveys, and statistical data analysis to identify the root causes of youth crime. Some of the factors identified include economic inequality, lack of access to education, and low levels of social awareness. The results of the analysis also highlight the negative impact of criminalization on public safety, city image, and economic development potential.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 4 No. 2 (2025): October 2025 Vol. 4 No. 1 (2025): April 2025 Vol. 3 No. 2 (2024): Oktober 2024 Vol. 3 No. 1 (2024): April 2024 Vol. 2 No. 2 (2023): Oktober 2023 Vol. 2 No. 1 (2023): April 2023 Vol. 1 No. 2 (2022): Oktober 2022 Vol. 1 No. 1 (2022): April 2022