Article Per Year (5 Year)
p-Index From 2020 - 2025
0.92
P-Index
This Author published in this journals
All Journal Jurnal Informatika Prosiding Semnastek International Journal of Advances in Intelligent Informatics Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Systems Engineering and Business Intelligence Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Holistic Nursing and Health Science Journal of Biomedical Science and Bioengineering
Wirawan, Panji Wisnu
Department Of Informatics, Faculty Of Sciences And Mathematics, Diponegoro University, Semarang
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Nursing

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
PEMODELAN GRAPH DATABASE UNTUK MODA TRANSPORTASI BUS RAPID TRANSIT Wirawan, Panji Wisnu; Riyanto, Djalal Er; Khadijah, Khadijah
Jurnal Informatika Vol 10, No 2 (2016): Juli
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (533.104 KB) | DOI: 10.26555/jifo.v10i2.a5072

Abstract

Bus Rapid Transit (BRT) merupakan salah satu alternatif transportasi massal. Rute BRT memiliki karakteristik khusus yang dapat dimodelkan dengan graph. Ketika rute dan shelter semakin bertambah, dibutuhkan aplikasi komputer untuk melakukan pencarian rute BRT. Hal tersebut akan memudahkan pencarian dan penjelajahan  rute-rute BRT. Namun, ketika rute diimplementasikan menggunakan basis data relasional, performa query dapat menurun karena banyaknya operasi JOIN untuk mencari rute. Artikel ini mengusulkan sebuah model graph database untuk BRT dan implementasinya. Identifikasi kebutuhan data dilakukan, dilanjutkan dengan pemodelan menggunakan entity relationship (ER). Hasil  ER tersebut kemudian dipetakan ke dalam property graph untuk kemudian diimplementasikan menggunakan produk graph database Neo4J. Hasil penelitian ini menunjukkan bahwa model yang dibuat bisa diterapkan dalam basis data graph dan graph dapat menunjukkan rute BRT tertentu. Dari sisi performance, basis data graph menunjukkan kinerja perambatan yang lebih baik dibandingkan dengan basis data relasional. Keyword : BRT, graphdatabase
Android skin cancer detection and classification based on MobileNet v2 model Adi Wibowo; Cahyo Adhi Hartanto; Panji Wisnu Wirawan
International Journal of Advances in Intelligent Informatics Vol 6, No 2 (2020): July 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v6i2.492

Abstract

The latest developments in the smartphone-based skin cancer diagnosis application allow simple ways for portable melanoma risk assessment and diagnosis for early skin cancer detection. Due to the trade-off problem (time complexity and error rate) on using a smartphone to run a machine learning algorithm for image analysis, most of the skin cancer diagnosis apps execute the image analysis on the server. In this study, we investigate the performance of skin cancer images detection and classification on android devices using the MobileNet v2 deep learning model. We compare the performance of several aspects; object detection and classification method, computer and android based image analysis, image acquisition method, and setting parameter. Skin cancer actinic Keratosis and Melanoma are used to test the performance of the proposed method. Accuracy, sensitivity, specificity, and running time of the testing methods are used for the measurement. Based on the experiment results, the best parameter for the MobileNet v2 model on android using images from the smartphone camera produces 95% accuracy for object detection and 70% accuracy for classification. The performance of the android app for object detection and classification model was feasible for the skin cancer analysis. Android-based image analysis remains within the threshold of computing time that denotes convenience for the user and has the same performance accuracy with the computer for the high-quality images. These findings motivated the development of disease detection processing on android using a smartphone camera, which aims to achieve real-time detection and classification with high accuracy.
PEMODELAN GRAPH DATABASE UNTUK MODA TRANSPORTASI BUS RAPID TRANSIT Panji Wisnu Wirawan; Djalal Er Riyanto; Khadijah Khadijah
Jurnal Informatika Vol 10, No 2 (2016): Juli
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (533.104 KB) | DOI: 10.26555/jifo.v10i2.a5072

Abstract

Bus Rapid Transit (BRT) merupakan salah satu alternatif transportasi massal. Rute BRT memiliki karakteristik khusus yang dapat dimodelkan dengan graph. Ketika rute dan shelter semakin bertambah, dibutuhkan aplikasi komputer untuk melakukan pencarian rute BRT. Hal tersebut akan memudahkan pencarian dan penjelajahan  rute-rute BRT. Namun, ketika rute diimplementasikan menggunakan basis data relasional, performa query dapat menurun karena banyaknya operasi JOIN untuk mencari rute. Artikel ini mengusulkan sebuah model graph database untuk BRT dan implementasinya. Identifikasi kebutuhan data dilakukan, dilanjutkan dengan pemodelan menggunakan entity relationship (ER). Hasil  ER tersebut kemudian dipetakan ke dalam property graph untuk kemudian diimplementasikan menggunakan produk graph database Neo4J. Hasil penelitian ini menunjukkan bahwa model yang dibuat bisa diterapkan dalam basis data graph dan graph dapat menunjukkan rute BRT tertentu. Dari sisi performance, basis data graph menunjukkan kinerja perambatan yang lebih baik dibandingkan dengan basis data relasional. Keyword : BRT, graphdatabase
Kajian Implementasi Graph Database pada Rute Bus Rapid Transit Panji Wisnu Wirawan; Djalal Er Riyanto
Jurnal Nasional Teknologi dan Sistem Informasi Vol 3, No 3 (2017): Desember 2017
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v3i3.2017.313-319

Abstract

Bus Rapid Transit (BRT) merupakan salah satu sarana transportasi publik yang memiliki rute perjalanan tertentu atau disebut sebagai koridor. Satu koridor BRT dengan koridor yang lain bukanlah koridor yang terpisah, melainkan saling terhubung. Dalam melakukan perjalanan, penumpang BRT boleh jadi melakukan perpindahan koridor melalui shelter. Informasi tersebut perlu didapatkan seorang calon penumpang sebelum melakukan perjalanan supaya tidak terjadi perpindahan koridor yang salah. Teknologi informasi memungkinkan representasi informasi pencarian koridor yang tepat ketika penumpang akan melakukan sebuah perjalanan, terlebih dengan hadirnya graph database. Graph Database memungkinkan representasi BRT yang baik karena sifat graph yang secara standar telah menunjukkan node dan relationship. Artikel ini mengkaji penerapan graph database untuk data pada BRT. Selain itu, artikel ini mendesain sebuah algoritma pencarian koridor BRT. Harapannya, algoritma tersebut dapat digunakan untuk membangun aplikasi yang memanfaatkan data pada graph database. Hasil kajian menunjukkan bahwa graph database dapat diterapkan untuk data BRT dan algoritma yang dibangun dapat digunakan untuk menyajikan informasi rute sekaligus menyampaikan informasi perpindahan koridor.
Graph Database Schema for Multimodal Transportation in Semarang Panji Wisnu Wirawan; Djalal Er Riyanto; Dinar Mutiara Kusumo Nugraheni; Yasmin Yasmin
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 2 (2019): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.03 KB) | DOI: 10.20473/jisebi.5.2.163-170

Abstract

Background: Semarang has broad area that cannot be covered entirely by single transportation mode. To reach a specific location, people often use more than one public transportation mode. Apart from Bus Rapid Transit, another exist namely angkot or city transportation. Multimodal traveler information is then  required to help passenger searching for a route. Several studies of multimodal traveler information system has been conducted, however the data model for multimodal transportation did not conceived in detail.Objective: Proposes a database of multimodal transportation design using graph data model by taking Semarang as a case study.Method: We create our model in oriented entity-relationship diagram (O-ERD) and map this O-ERD to the graph database schema.Result: We develop our data model in graph database schema and we implement the model using Neo4J graph database for validation purpose. Our model consist of  three graph node label namely Shelter, Angkot Stopper, and Closer Place. To validate our model, we execute a search query using the Cypher query to look for location with closer place to it.Conclusion: Our data model was successfully developed and implemented. Searching transportation route in the implementation of our model has been conducted using cypher query. It can successfully display all possible paths and routes. Our query can distinguish between one mode of transportation with another.Keywords: Graph database, Multimodal transportation, Neo4j, Cypher
Performance Analysis of Isolation Forest Algorithm in Fraud Detection of Credit Card Transactions Indra Waspada; Nurdin Bahtiar; Panji Wisnu Wirawan; Bagus Dwi Ari Awan
Khazanah Informatika Vol. 6 No. 2 October 2020
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i2.10520

Abstract

Losses incurred due to fraud on e-commerce transactions, especially those based on credit cards, continue to increase, resulting in large losses each year. One mechanism to minimize the risk of fraudulent credit card transactions is to utilize a detection technique for ongoing transactions. Credit card transaction data in its original state does not have a label, and the amount of fraud data on the training data is very small so that it belongs to a very unbalanced category, and the pattern of fraud continues to change. Isolation forest is an unsupervised algorithm that is efficient in detecting anomalies. Several techniques can be applied to improve the performance of the Isolation forest model. Previous studies used the ROC-AUC metric in analyzing the performance of Isolation Forests, which could provide incorrect information. This study made two contributions; the first is to present a performance analysis with both the ROC-AUC and AUCPR. Thus, it can be seen that the high ROC-AUC value does not guarantee the model has the reliability in detecting fraud. In comparison, the information provided through AUCPR is more appropriate to describe the ability of the model to capture data fraud. The second contribution is to propose several techniques that can be applied to improve the performance of the Isolation forest model, namely to optimize the determination of the amount of training data, feature selection, the amount of fraud contamination, and setting hyper-parameters in the modeling stage (training). Experiments were carried out using a real-life dataset from ULB. The best results are obtained when the validation data split ratio is 60:40, using the five most important features, using only 60% of fraud data, and setting hyper-parameters with the number of trees 100, 128 sample maximum, and 0.001 contamination. The validation performance of this model is precision 0.809917, recall 0.710145, F1-score 0.756757, ROC-AUC 0.969728, and AUCPR 0.637993, while for Testing results obtained precision 0.807143, recall 0.763514, F1-score 0.784722, ROC-AUC 0.97371, and AUCPR 0.759228.
Pengembangan Aplikasi Pengukur Tingkat Kualitas Perairan Pada Lingkunan Budidaya Perikanan Berbasis Web Randy Wahyu Triputra; Panji Wisnu Wirawan
Prosiding Semnastek PROSIDING SEMNASTEK 2021
Publisher : Universitas Muhammadiyah Jakarta

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

Abstract

Perikanan merupakan salah satu sektor andalan dalam pembangunan Indonesia. Faktor terkait kualitas perairan sangat berpengaruh pada produktivitas ikan. Penentuan kualitas perairan harus melakukan aktivitas pengambilan sampel untuk mendapatkan berbagai parameter biotik dan abiotik. Dibutuhkannya pemahaman ahli untuk memahami bagaimana menentukan kualitas perairan tersebut. Oleh karena itu, dibutuhkannya perangkat lunak yang dapat membantu dalam menentukan kondisi perairan tersebut. Perangkat lunak dibangun dengan menggunakan metode ICONIX process karena metode tersebut berfokus pada kebutuhan sistem. Perhitungan kualitas perairan pada aplikasi dilakukan dengan menggunakan perhitungan bobot-bobot tiap parameter yang dimasukkan oleh pengguna. Aplikasi telah berhasil dikembangkan setelah dilakukan pengujian black box yang menyatakan bahwa fungsi perhitungan pada aplikasi dan perhitungan secara manual memiliki hasil yang sama.
Pengembangan Desain Perencanaan Sistem Informasi Geografis sebagai Alternatif Pembelajaran dalam Keperawatan Kesehatan Komunitas Nur Setiawati Dewi; Artika Nurrahima; Panji Wisnu Wirawan
Holistic Nursing and Health Science Vol. 2, No. 1 (2019): June
Publisher : Master of Nursing, Faculty of Medicine, Universitas Diponegoro, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.266 KB) | DOI: 10.14710/hnhs.2.1.2019.22-30

Abstract

Introduction: The learning process of nursing students faced complexity problems, particularly in community health nursing course. There is no latest information technology application that addresses are impacted to the educational problems of undergraduate and professional nursing program. An unclearly visualization of the data assessment of community nursing care provide distresses for lecturer and nursing student. Geographic Information Systems (GIS) provide a detail visualization that related to health problems in the community. This study aims to provide a visualization about the development of  GIS that may become an alternative learning for nursing students.Methods: This article describes the part of action research process. Five nursing students and two lecturers of community health nursing were recruited. The data collection was conducted by interview and observation for data assessment in the first step of development of GIS application.Results: There were four steps of making of GIS application, which is divided into four steps, including need analyzing, application design planning, the diagram of data flow, and application description.Conclusion: The GIS has benefit for learning process, some policies are necessary to mediate the development and application of GIS for nursing students in community health nursing course. 
MoFlus: An Open-Source Android Software for Fluorescence-Based Point of Care Panji Wisnu Wirawan; Adi Wibowo
Journal of Biomedical Science and Bioengineering Vol 1, No 2 (2021)
Publisher : Center for Biomechanics, Biomaterials, Biomechantronics and Biosignal Processing (CBOIM3S)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (80.137 KB) | DOI: 10.14710/jbiomes.2021.v1i2.39-48

Abstract

High-sensitivity fluorescence-based tests are utilized to monitor various activities in life science research. These tests are specifically used as health monitoring tools to detect diseases. Fluorescence-based test facilities in rural areas and developing countries, however, remain limited. Point-of-care (POC) tests based on fluorescence detection have become a solution to the limitations of fluorescence-based tools in developing countries. POC software for smartphone cameras was generally developed for specific devices and tools, and it ability to select the desired region of interest (ROI) is limited. In this work, we developed Mobile Fluorescence Spectroscopy (MoFlus), an open-source Android software for camera-based POC. We mainly aimed to develop camera-based POC software that can be used for the dynamic selection of ROI; the number of samples; and the types of detection, color, data, and for communication with servers. MoFlus facilitated the use of touch screens and data given that it was developed on the basis of the SurfaceView library in Android and Javascript object notation applications. Moreover, the function and endurance of the app when used multiple times and with different numbers of images were tested.
Co-Authors Adi Wibowo Artika Nurrahima Bagus Dwi Ari Awan Cahyo Adhi Hartanto Dinar Mutiara Kusumo Nugraheni Djalal Er Riyanto Indra Waspada Khadijah, Khadijah Nur Setiawati Dewi Nurdin Bahtiar Randy Wahyu Triputra Yasmin Yasmin Yuntria Fatmantika