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Sistem Pencarian Hotel Berdasarkan Rute Perjalanan Terpendek Dengan Mempertimbangkan Daya Tarik Wisata Menggunakan Algoritma Greedy Herli, Audrey Maximillian; Raharjana, Indra Kharisma; Soeparman, Purbandini
Journal of Information Systems Engineering and Business Intelligence Vol 1, No 1 (2015): April
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (458.397 KB)

Abstract

Abstrak— Pencarian hotel merupakan hal yang penting dilakukan wisatawan dalam melakukan perjalanan wisata. Wisatawan akan mempertimbangkan kriteria hotel seperti kelas, harga dan review hotel. Selain itu  faktor jarak hotel dan tempat wisata yang dikunjunginya adalah hal yang penting untuk dipertimbangkan. Pada penelitian ini dibangun sistem untuk melakukan pencarian hotel berdasarkan rute perjalanan wisata terpendek dengan daya tarik wisata mengunakanalgoritma greedy untuk memudahkan wisatawan dalam melakukan efisensi jarak perjalanan wisata serta membantu dalam pemilihan hotel. Penelitian ini dilakukan melalui empat tahap, tahap pertama adalah pengumpulan data dan informasi daya tarik wisata dan hotel. Tahap kedua adalah analisa data dengan algoritma greedy serta melakukan penyesuian pengunaan algoritma berdasarkan karakteristik perjalanan yang dilakukan wisatawan. Tahap ketiga adalah pembangunan sistem, dan tahap terakhir adalah melakukanevaluasi sistem bersama para ahli yang telah berpengalaman dalam bidang pariwisata dan calon penguna aplikasi ini.Hasil dari penelitian ini adalah sistem yang dapat memberikan rekomendasi rute dan urutan perjalanan terpendek antara hotel dan daya tarik wisata berdasarkan algoritma greedy. Kata Kunci— Hotel, Daya Tarik Wisata, Algoritma Greedy, Rute Perjalanan TerpendekAbstract— Hotel search was an important thingfor travelers in their traveling journey. Travelers would consider criteria such as class, price and review of the hotel.Beside those things, distance between Hotel and tourist attractionswasalsoimportant factor to be considered. In this research, system was constructed to perform a hotels search by shortest travelling route using Greedy Algorithm. This research was conducted through four stages, the first stage wasdata and information collectingof tourist attraction and hotel. Second stagewasdata analysis with greedy algorithm in purpose to classify the data and implementing greedy algorithm with manual calculation to the problem research.  The third stage was the development of the system, and the last stage wasevaluating the system with the experts who are experienced in the field of tourism and the prospective user of this application. Results from this study was the system can provide recommendations and sequence the shortest journey between the hotel and tourist attraction based on the greedy algorithm. Keywords— Hotel, Tourist Attraction, Greedy Algorithm, Travelling Salesman Problem
Perbandingan Algoritma Pengelompokan Non-Hierarki untuk Dataset Dokumen Dyah Herawatie; Eto Wuryanto; Purbandini Purbandini
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2014
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Tujuan penelitian ini adalah membandingkan beberapa algoritma pengelompokan non-hierarki : K-Means, Bisecting K-Means, K-Median dan K-Medoid untuk data dokumen. Perbandingan dilakukan dengan menggunakan Fmeasure dan akurasi sebagai ukuran kualitas ketepatan hasil pengelompokan. Dalam penelitian ini data yang dipakai untuk eksperimen adalah artikel media masa yang berbahasa Indonesia yang diambil dari website Kompas (www.kompas.com) dan Detik (www.detik.com). Tahapan yang digunakan dalam penelitian ini adalah sebagai berikut : Tahap pertama adalah pengambilan dan pemrosesan data. Sebelum dilakukan pengelompokan data, data dokumen terlebih dahulu harus melalui tahap pra proses, yaitu Detagging, Stopword removal, dan Stemming. Hal ini dimaksudkan agar kata-kata yang digunakan untuk membentuk term-document matrix hanyalah kata-kata khusus yang dapat merepresentasikan dokumen yang ada. Langkah selanjutnya adalah penentuan fitur dan penyusunan term-document matrix. Jumlah fitur yang digunakan untuk pengelompokan dinyatakan dengan persentase dari total fitur. Langkah terakhir : melakukan pengelompokan data set dokumen dengan menggunakan algoritma K-Mean, Bisecting K-Mean, K-Median, dan K-Medoid dengan menggunakan jarak Euclid dan cosinus. Dari hasil eksperimen dapat diambil kesimpulan bahwa algoritma pengelompokan yang memberikan hasil yang terbaik adalah K-Mean. Disamping itu Bi-secting K-Mean juga menghasilkan pengelompokan yang memuaskan. Selain itu jarak cosinus juga memberikan hasil yang paling baik dibandingkan dengan jarak Euclid. Dari hasil ekperimen, hanya dengan menggunakan 10% sampai 30% fitur yang digunakan telah menghasilkan pengelompokan yang memuaskan.
Klasifikasi Rumah Tangga Miskin Menggunakan Ordinal Class Classifier Faried Effendy; Purbandini Purbandini
Jurnal Nasional Teknologi dan Sistem Informasi Vol 4, No 1 (2018): April 2018
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v4i1.2018.30-36

Abstract

The Central Bureau of Statistics of Indonesia (BPS) classified the target households into three different categories which were very poor households (RSTM), poor households (RTM), and nearly-poor households (RTSM). BPS need some method that can accelerate the classification process to assist the performance of BPS in order to shorten the processing time. The data scale that used in the classification of poor households was ordinal. Generally, calculations of classification using ordinal asscales only can be found in the software WEKA Ordinal Class Classifier (OCC) that was one of the existing classification in WEKA. OCC could be resolve to attributes that are nominal, numerical, and ordinal. So in this research, OCC would be using to classify poor households. By comparing the algorithms performance there were several stages that need to be traversed. The first was the data collection stage, the second was the data processing stage and information by using preprocessing, the third was the analysis stage with tools WEKA. The fourth was a test stage by counting the value of accuracy, precision, and recall. The last stage was evaluation by comparing actual data with predictive data of the result of calculating system. From the classification process, it can be concluded that OCC has the highest accuracy, precision, and recall level which is 90% (3803) of training set and 10% (423) of testing set with accuracy of 90.5437%, precision 0.919, and recall 0.905.
Science and Technology for Batik Craftsmen Society for Improving Economy of the Community in Surabaya Ex Prostitution Localization Indah werdiningsih; . Purbandini; Ira Puspitasari
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 4 No. 1 (2018): Agrokreatif Jurnal Ilmiah Pengabdian Kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.4.1.%p

Abstract

The community development presents the creation of catalog to display products online that can help market widely as an effort to improve economy of the community in the area of exs-red district Bangunsari, Surabaya. Partners are an organization engaged in the development of affected communities in the area of Bangunsari localization. The partners are Omah Batik Tulis Khas Surabaya Sari Ratu and Rumah Batik Canting Risma Ratu. E-catalog application had three proceses, i.e. customer registration process, master data processing process, and ordering process. E-catalog application had through five stages are: 1) Identifies data needs performed by interview; 2) Designing the database, created using a Conceptual Data Model (CDM) that produces 8 entities and Physical Data Model (PDM) that generates 8 tables next design the i nput and output form; 3) Implements the system using a web-based programming language; 4) Testing system with black box method, testing sistem include all transactions on each user; and 5) Evaluation of system was done by using questionnaire to find accuracy of aplication. Questionnaires were distributed to 2 partners. Questionnaire was filled by chairman and two members for each partner. Number of questionnaire was 6 questionnaires. The evaluation results show that accuracy of e-catalog application that had been built was user friendly for 73.61%. It is clear that e-catalog aplication that had been built had good category for user friendly. 
Science and Technology for Batik Craftsmen Society for Improving Economy of the Community in Surabaya Ex Prostitution Localization Indah Werdiningsih; . Purbandini; Ira Puspitasari
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 4 No. 1 (2018): Agrokreatif Jurnal Ilmiah Pengabdian Kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.4.1.54-60

Abstract

The community development presents the creation of catalog to display products online that can help market widely as an effort to improve economy of the community in the area of exs-red district Bangunsari, Surabaya. Partners are an organization engaged in the development of affected communities in the area of Bangunsari localization. The partners are Omah Batik Tulis Khas Surabaya Sari Ratu and Rumah Batik Canting Risma Ratu. E-catalog application had three proceses, i.e. customer registration process, master data processing process, and ordering process. E-catalog application had through five stages are: 1) Identifies data needs performed by interview; 2) Designing the database, created using a Conceptual Data Model (CDM) that produces 8 entities and Physical Data Model (PDM) that generates 8 tables next design the i nput and output form; 3) Implements the system using a web-based programming language; 4) Testing system with black box method, testing sistem include all transactions on each user; and 5) Evaluation of system was done by using questionnaire to find accuracy of aplication. Questionnaires were distributed to 2 partners. Questionnaire was filled by chairman and two members for each partner. Number of questionnaire was 6 questionnaires. The evaluation results show that accuracy of e-catalog application that had been built was user friendly for 73.61%. It is clear that e-catalog aplication that had been built had good category for user friendly.
Sistem Pencarian Hotel Berdasarkan Rute Perjalanan Terpendek Dengan Mempertimbangkan Daya Tarik Wisata Menggunakan Algoritma Greedy Audrey Maximillian Herli; Indra Kharisma Raharjana; Purbandini Soeparman
Journal of Information Systems Engineering and Business Intelligence Vol. 1 No. 1 (2015): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (458.397 KB) | DOI: 10.20473/jisebi.1.1.9-16

Abstract

Abstrak— Pencarian hotel merupakan hal yang penting dilakukan wisatawan dalam melakukan perjalanan wisata. Wisatawan akan mempertimbangkan kriteria hotel seperti kelas, harga dan review hotel. Selain itu  faktor jarak hotel dan tempat wisata yang dikunjunginya adalah hal yang penting untuk dipertimbangkan. Pada penelitian ini dibangun sistem untuk melakukan pencarian hotel berdasarkan rute perjalanan wisata terpendek dengan daya tarik wisata mengunakanalgoritma greedy untuk memudahkan wisatawan dalam melakukan efisensi jarak perjalanan wisata serta membantu dalam pemilihan hotel. Penelitian ini dilakukan melalui empat tahap, tahap pertama adalah pengumpulan data dan informasi daya tarik wisata dan hotel. Tahap kedua adalah analisa data dengan algoritma greedy serta melakukan penyesuian pengunaan algoritma berdasarkan karakteristik perjalanan yang dilakukan wisatawan. Tahap ketiga adalah pembangunan sistem, dan tahap terakhir adalah melakukanevaluasi sistem bersama para ahli yang telah berpengalaman dalam bidang pariwisata dan calon penguna aplikasi ini.Hasil dari penelitian ini adalah sistem yang dapat memberikan rekomendasi rute dan urutan perjalanan terpendek antara hotel dan daya tarik wisata berdasarkan algoritma greedy. Kata Kunci— Hotel, Daya Tarik Wisata, Algoritma Greedy, Rute Perjalanan TerpendekAbstract— Hotel search was an important thingfor travelers in their traveling journey. Travelers would consider criteria such as class, price and review of the hotel.Beside those things, distance between Hotel and tourist attractionswasalsoimportant factor to be considered. In this research, system was constructed to perform a hotels search by shortest travelling route using Greedy Algorithm. This research was conducted through four stages, the first stage wasdata and information collectingof tourist attraction and hotel. Second stagewasdata analysis with greedy algorithm in purpose to classify the data and implementing greedy algorithm with manual calculation to the problem research.  The third stage was the development of the system, and the last stage wasevaluating the system with the experts who are experienced in the field of tourism and the prospective user of this application. Results from this study was the system can provide recommendations and sequence the shortest journey between the hotel and tourist attraction based on the greedy algorithm. Keywords— Hotel, Tourist Attraction, Greedy Algorithm, Travelling Salesman Problem
Rancang Bangun Data Warehouse Untuk Pembuatan Laporan dan Analisis pada Data Kunjungan Pasien Rawat Jalan Rumah Sakit Universitas Airlangga Berbasis Online Analytical Processing (OLAP) Nur Ardista; Purbandini Purbandini; Taufik Taufik
Journal of Information Systems Engineering and Business Intelligence Vol. 3 No. 1 (2017): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (616.71 KB) | DOI: 10.20473/jisebi.3.1.40-51

Abstract

Abstrak— Rumah Sakit Universitas Airlangga (RSUA) merupakan sarana pelayanan kesehatan yang dikelola di bawah naungan Universitas Airlangga. Seiring berjalannya proses bisnis, jumlah pasien RSUA yang semakin bertambah menyebabkan data kunjungan pasien rawat jalan yang harus dikelola oleh bagian rekam medis semakin banyak. Data tersebut dikelola untuk digunakan dalam pembuatan laporan. Informasi dalam laporan dihasilkan melalui perhitungan secara manual atau menggunakan formula Microsoft Excel menjadi kendala dalam pembuatan laporan selain adanya kebutuhan laporan dengan format beragam dan analisis multidimensional. Data warehouse berbasis Online Analytical Processing (OLAP) dapat diterapkan untuk menangani masalah tersebut. Tujuan penelitian ini adalah merancang dan membangun data warehouse berbasis OLAP agar dapat digunakan oleh bagian rekam medis RSUA dalam pembuatan laporan. Data warehouse dibangun melalui tujuh tahap yaitu analisis, desain, proses ETL (Extraction, Transformation, and Loading), penerapan OLAP, uji coba, eksplorasi untuk hasil laporan dan analisis, serta evalusi. Perancangan data warehouse menggunakan Nine Step Methodology dengan pemodelan berupa fact constellation schema. Hasil implementasi data warehouse adalah aplikasi OLAP yang dapat digunakan untuk membantu kinerja bagian rekam medis RSUA dalam pembuatan laporan, baik berupa tabel pivot maupun grafik. Penilaian pengguna terhadap sistem data warehouse menunjukkan kategori baik dengan hasil penilaian sebesar 73.61 persen. Kata Kunci— Data Warehouse, Rawat Jalan, ETL, Nine Step Methodology, OLAPAbstract— Airlangga University Hospital is a health care facilities managed by the auspices of Airlangga University. Increasing number of patients in RSUA caused more outpatients’ visits data must be managed by the medical record unit. The data was used to report making. The information in the reports generated through manual calculation or used function of Microsoft Excel became a problem of report making in addition to their reporting needs with diverse formats and multidimensional analysis. Data warehouse based on Online Analytical Processing (OLAP) could implemented to solved the problem. The goal of this research were to designing and implementing the data warehouse based on OLAP so it could be used by medical record unit to making report. Data warehouse was implemented in seven process : analysis, design, ETL (Extraction, Transformation, and Loading), implementing OLAP, trial, explore the report and analysis, and evaluation. Design of data warehouse were using Nine Step Methodology and fact constellation schema model.The outcome of this research was an OLAP application that can used to help the task of RSUA medical record unit to making report using pivot table or chart. User ratings against the data warehouse system showed good category with the results of 73.61 percent in assessment. Keywords— Data Warehouse, Outpatient, ETL, Nine Step Methodology, OLAP
Perencanaan Arsitektur Perusahaan pada Bagian Instalasi Rawat Jalan dengan Kerangka Kerja TOGAF ADM Studi Kasus Rumah Sakit Jiwa Menur Surabaya Irfan Nur Aulia; Indra Kharisma Raharjana; Purbandini Purbandini
Journal of Information Systems Engineering and Business Intelligence Vol. 3 No. 1 (2017): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (933.385 KB) | DOI: 10.20473/jisebi.3.1.52-60

Abstract

Abstrak— Penelitian ini menghasilkan rencana arsitektur perusahaan yang dapat digunakan oleh Instalasi Rawat Jalan RSJ Menur Surabaya dengan kerangka kerja TOGAF ADM. Ada beberapa tahapan yang akan dilakukan yaitu pengumpulan data, penyusunan arsitektur visi, penyusunan arsitektur bisnis, penyusunan arsitektur data, penyusunan arsitektur aplikasi, penyusunan arsitektur teknologi, dan evaluasi arsitektur perusahaan. Dalam penyusunan arsitektur data, hal yang dilakukan adalah penyusunan arsitektur data berdasarkan dokumen laporan, membuat relasi antar entias data, membuat matriks fungsi bisnis dan entitas data, dan membuat analisis gap arsitektur data. Pada penyusunan arsitektur aplikasi, hal yang dilakukan adalah merencanakan kandidat aplikasi, membuat matriks fungsi bisnis, merancang kandidat aplikasi, serta membuat analisis gap arsitektur aplikasi. Sedangkan dalam tahap penyusunan arsitektur teknologi, hal yang dilakukan adalah merencanakan kandidat teknologi, membuat topologi jaringan dan membuat analisis gap arsitektur teknologi. evaluasi arsitektur perusahaan dilakukan dengan cara wawancara kepada stakeholder tentang hasil arsitektur. Hasil evaluasi menyatakan bahwa arsitektur perusahaan yang telah dibuat dapat diterima dan dipertimbangkan untuk diimplementasikan.Kata Kunci— Perencenaan Arsitektur Perusahaan, TOGAF ADM, Instalasi Rawat Jalan, BlueprintAbstract— This research resulted blueprint of the enterprise architecture  which can be used by Outpatient Departement of RSJ Menur Surabaya with TOGAF ADM framework. . There were several stages that will be done that the first stage was data collection, the second stage was architecture vision, the third stage was business architecture, the fourth stage was information systems architectures, which includes the data architecture was the identification of data entities obtained based on documents and reports, created the relationship between data entities, created the matrix of business functions and the candidates of application and create the gap analysis of the application architecture. The fifth stage was technology architecture which planned the technology candidates, made the network topology and made the gap analysis of the technology architecture. Phase sixth was the evaluation of enterprise architecture, the stage which conducted interview was related to the architecture that has been planned, then explain the positive and negative impacts related to the architecture that has been planned. The results of this research was enterprise architecture planning. Based on the evaluation results, the enterprise architecture can be accepted and considered to all stakeholders to be implemented in the future. Beside that it was a need for Hospital Management Information System Installation that has roles and responsibilities related to the application and information technology. Keywords— Enterprise Architecture Planning, TOGAF ADM, Outpatient Department, Blueprint
Incident and Service Request Management for Academic Information System based on COBIT Indra Kharisma Raharjana; Ibnu Ibadillah; Purbandini Purbandini; Eva Hariyanti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.569 KB) | DOI: 10.11591/eecsi.v5.1619

Abstract

This paper explores application of Incident and Service Request Management for academic services. We are using Control Objectives for Information and Related Technologies (COBIT) framework as basis for determining the activities in Incident and Service Request Management. The COBIT itself is an IT governance framework included incident handling and service requests, also providing incident response and service request decisions. The software will be developed as a proof of concept that it brings benefits to academic service operations. For most academic services in university, encountered a problem such as incidents reports or a request for services are not immediately addressed, took a long time to respond, or even lost and left unreadable. It is a good idea to standardize incident management and plant it into academic information systems to enforce its application. In software development, we perform five development stages: requirement analysis, system design, stakeholder confirmation, system development, and system evaluation. In requirement analysis stages, we elicited features from activity describe in COBIT and customize it based on interviews and observation. We design use case diagram, use case scenario and database design in system design stages. In stakeholder confirmation stages, a meeting with the stakeholders held and discuss whether the system complies with the requirements or not. system adaptations are made to answer stakeholders concern. System development is conducted based on confirmed system design. Stakeholder evaluated after they follow the case simulation session. Stakeholders provide an evaluation of the system according to their role, based on their experience when using the system in the simulation session. User experience (UX) aspects are also evaluated based on user's interaction with the system. User experience results obtained meet all aspects, including useful, usable, desirable, findable, accessible, credible, and valuable. The evalu.
Decision Support System for Optimizing Rastra Distribution Routes Using Genetic Algorithm Halimatuz Zuhriyah; D. Kartono; Purbandini Purbandini; Anindya Ananda Hapsari
Jurnal Informatika Universitas Pamulang Vol 8, No 2 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i2.33353

Abstract

Vehicle Routing Problem (VRP) is an optimal route design from a group of vehicles that deliver goods to a set of customers with a certain demand. VRP was widely studied as part of solving the distribution efficiency which minimizes the cost of traveled vehicle. Bulog Subdivre South Surabaya distribute Rastra to every village which has constraint of Multi depot and Split delivery (MDSDVRP). This study aims to minimize the traveled distance of MDSDVRP (Rastra distribution) using  Genetic Algorithm (GA) and to find out the efficiency of the route solution. The research covers the steps to solve MDSDVRP using GA to generate feasible and efficient solution route. Then development of a Decision Support System (DSS) that applies the algorithm is implemented on web platform and the result of route solution is presented on the mobile platform. The system testing is carried out to test the user satisfaction (83.8%) which found that overall users were considered very agree, good, like for each component of user satisfaction. The traveled distance is compared between GA route and routes of the original data from 2013-2017. The efficiency of GA was evaluated and found that the traveled distance from the previous route is reduced by 3.7% (444 km) and in 2017 is reduced the distance traveled by 9.5 % (1,093 km). The GA can generate a better solution and optimize the distance than the original route.