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INDONESIA
Jurnal Bangkit Indonesia
Published by Sekolah Tinggi Teknologi Indonesia Tanjung Pinang
ISSN : 23374055     EISSN : 27769267     DOI : https://doi.org/10.52771/bangkitindonesia
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Ruang lingkup Bangkit Indonesia adalah sebagai berikut : Domain Specific Frameworks and Applications IT Management dan IT Governance e-Government e-Healthcare, e-Learning, e-Manufacturing, e-Commerce ERP dan Supply Chain Management Business Process Management Smart Systems Smart City Smart Cloud Technology Smart Appliances & Wearable Computing Devices Robotic Systems Smart Sensor Networks Information Infrastructure for Smart Living Spaces Intelligent Transportation Systems Models, Methods and Techniques Conceptual Modeling, Languages and design Software Engineering Information-centric Networking Human Computer Interaction Media, Game and Mobile Technologies Data Mining Big Data Information Retrievel Information Security Image Processing and Pattern Recognition Remote Sensing Natural Language Processing
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 205 Documents
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Analisis Keretakan Permukaan Jalan Menggunakan Fitur Thresholding, Median Filter, dan Teknik Morfologi Zulfachmi, Zulfachmi; Muhammad Rizky Fatahillah; Samuel Belman Silalahi
Jurnal Bangkit Indonesia Vol 13 No 1 (2024): Bulan Maret 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i1.277

Abstract

Regular detection of cracks on the road surface is a necessary link to ensure the safety of road users. There are several traditional methods that have been developed to detect road cracks, but there are still many shortcomings in these traditional methods. The inefficiency of conventional methods has led to the development of automatic detection methods using image processing. This research aims to detect road surface cracks using the thresholding method, median filter, and morphological techniques applied to 40 road surface images which are divided into training data and test data. Processing image data for road surface crack detection in this research uses the Open CV tool. From these results it was found that this method can be applied with a success rate of 85%.
Studi Literatur: Analisa Perbandingan Teori Tentang Tingkat Keamanan Antar Algoritma Simetris Bhaskara, I Made Adi; Ariawan, Made Pasek Agus; Peling, Ida Bagus Adisimakrisna; Prayudha, I Putu Astya
Jurnal Bangkit Indonesia Vol 13 No 1 (2024): Bulan Maret 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i1.278

Abstract

Data security has become a critical issue in the digital age, and cryptographic algorithms play a vital role in preserving information confidentiality. Symmetric algorithms offer convenience and speed, but choosing the right algorithm is crucial to ensuring an adequate level of security. Disciplines of cryptography is generally known, there are two categories of a data encryption and decryption algorithm one of which is a symmetric algorithm. Symmetric algorithms are widely used in the encryption of the data so that new theories are emerging. Types of symmetric algorithms are various algorithms such as DES algorithm, AES or Rijndael algorithm, 3DES algorithm and others. Along with the many theories of symmetric algorithms are used in the discipline cryptography, the security of an algorithm with other algorithms need to be compared to find the most appropriate against attack. Based on this literature study results obtained that the AES algorithm is the most secure algorithm compared to DES and 3DES.
Sistem Prediksi Pengadaan Bahan Bangunan Menggunakan Metode Single Exponential Smoothing pada Toko Jaya Indah Bangunan Tanjungpinan Abdul Rahmad, Rahmad; Zulfachmi, Zulfachmi; Desi, Desi
Jurnal Bangkit Indonesia Vol 13 No 1 (2024): Bulan Maret 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i1.279

Abstract

Abstract— Toko Jaya Indah Bangunan is one of the shops located in Tanjungpinang city and is engaged in selling and providing building materials. Toko Jaya Indah Bangunan is located at Jalan Gatot Subroto. In procuring building materials, Toko Jaya Indah Bangunan usually first checks the stock of goods in the warehouse and also sees what trend in the market for goods is currently booming. If you have found the goods to be held and the goods are currently booming, then Toko Jaya Indah Bangunan will procure the goods. The problem that arises in procuring goods like this is that sometimes the number of goods ordered does not match what is needed by the community, causing stockpiles of goods to accumulate in the warehouse and hindering Toko Jaya Indah Bangunan in ordering other goods. This can be overcome if the Toko Jaya Indah Bangunan has a system that is able to check the available stock of goods directly without having to check the warehouse first, and also determine the number of items held using a prediction system. The methodology used for the development of this application is the waterfall methodology, the reason is because this method has stages of application development that are in accordance with the way the author developed this application by going through the stages of analysis, design, coding, testing and application. And for the calculation method in making this prediction, the author uses the Single Exponential Smoothing method which this method uses reference data that has a fixed pattern. This prediction model was chosen because the data obtained contains a stationary pattern (tends to be fixed and does not change). From the results of the design, we get a system that is able to predict the exact amount of the purchase of an item made by Toko Jaya Indah Bangunan and this prediction system is made using the Java language, MySQL database and desktop-based. Keywords— Prediction, Purchase, Building Materials, Single Exponential Smoothing, Waterfall
Sistem Pengelolaan Payroll Dosen Dengan Metode Gross Up ( studi kasus : STMIK bandung) Apriyanti, Linda; Wijaya, Rena
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.300

Abstract

The lecturer payroll management system using the gross up method is a method for calculating lecturer salaries in which the income tax that must be paid by the lecturer is added to the lecturer's gross salary, so that the amount of income tax that must be paid is the responsibility of the university or institution where the lecturer is located. Work. In its application, the gross up system makes it easier to calculate and pay lecturer salaries because the institution where the lecturer works will bear the costs of the lecturer's income tax. In this case, the institution will calculate the lecturer's income tax first, then add the tax amount to the lecturer's gross salary so that the lecturer receives a net salary which has been calculated and includes income tax costs. The system was designed using UML UML which includes use case diagrams, activity diagrams and sequence diagrams, and was built using Larvel version 10 and for the database using MySQL. It is hoped that with this system the tax burden will decrease and lecturers' take home pay will increase.
Sistem Presensi menggunakan Deteksi Objek Wajah Mahasiswa Berbasis YOLO-V5 Rahayu, Mina Ismu; Rizaludin, Muhamad; Jayusman, Yus
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.310

Abstract

Attendance is a crucial aspect across various sectors, such as corporate, governmental, and educational institutions, for efficient management. The advancement of deep learning technology, particularly in the field of facial recognition, has become a primary focus in enhancing identification accuracy. In this context, visual object detection through computer vision plays a key role, with the You Only Look Once (YOLO) method emerging as a leading choice for real-time object detection across various media, including webcams, due to its speed and efficiency. This research proposes the application of YOLO-V5 in the development of a student attendance system. This approach utilizes deep learning and data augmentation to enhance the accuracy of student identification. YOLO-V5 enables efficient real-time object detection, achieving an accuracy rate of up to 95% on each frame. The implementation of the student attendance system using the YOLO-V5 method successfully detects student attendance in real-time with a high level of accuracy. This demonstrates the potential of this method to improve the efficiency of attendance management and its suitability for integration into student attendance systems. This research represents a significant advancement in the use of deep learning and computer vision to increase the accuracy and efficiency of attendance management
Pelaporan Dan Pencegahan Kekerasan Seksual Berbasis Web Kartaputra, Dani Pradana; Sulistiawati, Nisa
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.311

Abstract

Kekerasan seksual di lingkungan kampus merupakan isu yang membutuhkan penanganan serius dan khusus. STMIK Bandung sebagai institusi pendidikan tinggi berkomitmen untuk menyediakan lingkungan belajar yang aman dan nyaman bagi seluruh civitas akademika, sesuai dengan amanat Permendikbud Ristek No. 30 Tahun 2021 Pasal 6 Ayat (1) yang mewajibkan pembentukan Satuan Tugas Pencegahan dan Penanganan Kekerasan Seksual (Satgas PPKS). Penelitian ini bertujuan untuk mengembangkan platform web yang mendukung pelaporan dan pencegahan kekerasan seksual di STMIK Bandung. Tujuan penelitian meliputi: (1) mempelajari prosedur pelaporan kekerasan seksual yang diterapkan oleh Satgas PPKS, (2) merancang platform web untuk pelaporan dan pencegahan kekerasan seksual, serta (3) menguraikan prosedur tindak lanjut yang dilakukan Satgas PPKS setelah menerima laporan. Pengumpulan data dilakukan melalui observasi, wawancara, dan studi pustaka. Platform web dikembangkan menggunakan framework Laravel dengan metode Scrum, yang terintegrasi dengan basis data untuk memastikan pengelolaan data pelaporan yang efisien dan aman. Hasil penelitian menunjukkan bahwa platform web yang dikembangkan memungkinkan pelaporan kekerasan seksual secara aman dan efektif, serta mendukung pengelolaan laporan oleh Satgas PPKS. Platform ini diharapkan dapat meningkatkan kepercayaan dan keberanian dalam melaporkan kasus kekerasan seksual, sekaligus memperkuat upaya pencegahan dan penanganan di STMIK Bandung.
Evaluasi Tata Kelola Teknologi Informasi Menggunakan Framework Cobit 2019 Pada Kantor Wilayah Kementerian Hukum dan Hak Asasi Manusia Provinsi Kepulauan Riau Liza Safitri; Rizki Romdoni, Mochammad; Salsa, Yulia
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.316

Abstract

Information technology which is developing rapidly at this time greatly influences the company's business conditions so that information technology governance is needed. COBIT 2019 is an information technology governance framework that has standards for implementing information technology governance. The Regional Office of the Ministry of Law and Human Rights, Riau Islands Province, is a government company that operates in the field of legal and human rights services. The aim of this research is to determine the current level of IT process capability (as-is) and the expected level of IT process capability (to-be) as well as providing recommendations and suggestions on better IT governance for the Regional Office of the Ministry of Law and Human Rights, Riau Islands Province. This research was conducted using standards framework COBIT 2019. From the existing process objectives, 8 objectives were obtained that were in accordance with the research, namely APO04 – Managed Innovation, APO07 – Managed Human Resources, APO13 – Managed Security, BAI02 – Managed Requirements Definitions, BAI03 – Managed Solutions Identification and Build, DSS03 – Managed Problems, DSS05 – Managed Security Services, MEA01 – Managed Performance and Conformance Monitoring, EDM01 – Ensured Governance Framework Setting and Maintenance. The results of this research show that the APO04 and EDM01 process objectives are at the capability level level 4 (as-is) with a capability value of APO04 and EDM01 of 100%, for DSS03 and MEA01 it is at the capability level level 5 (as-is) with a DSS03 and MEA01 capability value of 100%, for APO07 and APO13 it is at the capability level level 2 (as-is), and for domains BAI03 and DSS05 are at the capability level level 1 (as-is).
Analisis Klasifikasi Citra Penokohan Topeng Bali Menggunakan Model EfficientnetV2 Dan Xception Yuniari, Widya; Kumara, Surya; Raharja, Agus Wahyu; Bhaskara, Adi; Pradnya Dana, Wikan; Darma, Wira
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.319

Abstract

Abstract— Bali is one of the provinces with quite complex cultural diversity in Indonesia. One of them is the characterization of traditional masks. Traditional masks in Balinese tradition are not only intended as performance accessories, but also as symbols of characterization, social status in indigenous communities, rites, and certain primordial activities. Every detail in the curve of the carving on the Balinese mask indicates an aesthetic richness that is certainly measurable as an ontological entity. In this case, the magnitude of this aesthetic measurability can be assisted by using various computational methods. This study tries to create a machine learning model with supervised learning to create a classification system for Balinese mask characterization. The methods used include: processing mask images into a 3-dimensional vector, each representing the red, green and blue color indices. Then each vector will go through a training process to create a measurability model for each characterization. The models used are EfficientNetV2 and Xception which are developments of convolutional models. The performance measurement metrics used are Accuracy, Precision, Recall & F1-Score. The Xception model produced an accuracy of 97%, while the EfficientNetV2 model produced an accuracy of 99%. Keywords— Bali, Classification, EfficientNetV2, Mask, Xception
Rancang Bangun Sistem Pembuangan Air Otomatis Pada Kapal Pompong Nelayan Menggunakan Tenaga Surya Berbasis Internet Of Things Hardinata, Danil; Asri Yana Vita, Devi; Yulfaturrahmi, Lusya
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.320

Abstract

The automatic water disposal system on fishing boats is an innovative solution to overcome the problems often faced by fishermen related to water leaks and manual water disposal which requires a lot of time and effort. This research aims to design and build an automatic water disposal system on a fishing boat by utilizing solar power as a renewable energy source and based on the Internet of Things (IoT) to enable remote monitoring and control. This system uses a water level sensor to detect the water level inside the ship and activates the water pump automatically when the water level reaches a certain point. Solar power is used as the main energy source to power the system, making it more environmentally friendly and reducing dependence on fossil fuels. Integration with IoT allows fishermen to monitor vessel conditions and control the system via smartphone, thereby increasing safety and operational efficiency. Data collection methods used in this research include interviews with fishermen, field observations, and literature studies related to the technology used. Meanwhile, the system development method uses the Agile Method, which allows fast iteration, close collaboration with end users (fishermen), and adjustment to changes during the development process. The Agile method ensures that the system developed meets the real needs of fishermen and can be adapted to changing field conditions. The research results show that the automatic water disposal system can work effectively, efficiently and safely in removing water that enters the ship. This system helps fishermen save time, energy and operational costs by reducing the need to drain water manually. Apart from that, the use of solar power as an energy source also contributes to efforts to preserve the environment by reducing carbon emissions from burning fossil fuels. Thus, this system offers a profitable solution for fishermen and the environment.
Klasifikasi Stingless Bee Menggunakan Metode Image Classification Berbasis OpenCV Zulfachmi, Zulfachmi; Zahara, Amalia; Hardinata, Danil
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.321

Abstract

Stingless bees play an important role as natural pollinators in ecosystems and as producers of economically valuable products such as honey, propolis, and bee bread, which are utilized in the food and health industries. Identifying stingless bee species remains a challenge due to the many species with similar morphology, requiring more efficient and accurate methods. This study aims to develop an automatic system based on image processing technology for the identification of stingless bee species using Convolutional Neural Networks (CNN), TensorFlow, and the Single Shot MultiBox Detector (SSD) implemented with OpenCV. The test results showed that the developed system was capable of automatically detecting and classifying stingless bee species with an average accuracy of 98%, especially when the object was directly aligned with the camera. Out of 40 tested samples, 31 samples were recognized, and 9 samples were not, resulting in a success rate of 77.5%. Factors influencing detection success include the quality of training data, camera positioning, and morphological similarities between species.

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