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Journal of Information Systems Engineering and Business Intelligence

JISEBI
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Published by Universitas Airlangga

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Core Subject : Science,

Computer Science & IT

Jurnal ini menerima makalah ilmiah dengan fokus pada Rekayasa Sistem Informasi ( Information System Engineering) dan Sistem Bisnis Cerdas (Business Intelligence) Rekayasa Sistem Informasi ( Information System Engineering) adalah Pendekatan multidisiplin terhadap aktifitas yang berkaitan dengan pengembangan dan pengelolaan sistem informasi dalam pencapaian tujuan organisasi. ruang lingkup makalah ilmiah Information Systems Engineering meliputi (namun tidak terbatas): -Pengembangan, pengelolaan, serta pemanfaatan Sistem Informasi. -Tata Kelola Organisasi, -Enterprise Resource Planning, -Enterprise Architecture Planning, -Knowledge Management. Sistem Bisnis Cerdas (Business Intelligence) Mengkaji teknik untuk melakukan transformasi data mentah menjadi informasi yang berguna dalam pengambilan keputusan. mengidentifikasi peluang baru serta mengimplementasikan strategi bisnis berdasarkan informasi yang diolah dari data sehingga menciptakan keunggulan kompetitif. ruang lingkup makalah ilmiah Business Intelligence meliputi (namun tidak terbatas): -Data mining, -Text mining, -Data warehouse, -Online Analytical Processing, -Artificial Intelligence, -Decision Support System.

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Articles 246 Documents

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Decision Support System for Classification of Early Childhood Diseases Using Principal Component Analysis and K-Nearest Neighbors Classifier Damar Dananjaya; Indah Werdiningsih; Rini Semiati
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: Data on early childhood disease collected in clinics has accumulated into big data. Those data can be used for classification of early childhood diseases to help medical staff in diagnosing diseases that attack early childhoods.Objective: This study aims to apply Principal Component Analysis (PCA) and K-Nearest Neighbor (K-NN) Classifier for the classification of early childhood diseases.Methods: Data analysis was performed using PCA to obtain variables that had a major influence on the classification of early childhood diseases. PCA was done by observing the correlation between variables and eliminating variables that have little influence on classification. Furthermore, data on early childhood disease was classified using the K-Nearest Neighbor Classifier method.Results: The results of system evaluation using 150 test data indicated that the classification system by applying PCA and KNN Classifier had an accuracy value of 86%.Conclusion: PCA can be used to reduce the number of variables involved so that it can improve system performance in terms of efficiency. In addition, the application of PCA and KNN can also improve accuracy in the classification of early childhood diseases.

System Dynamics Simulation Model to Increase Paddy Production for Food Security Mala Rosa Aprillya; Erma Suryani; Anisa Dzulkarnain
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: Food security is a world problem that often affects developing countries, one of them in Indonesia. Along with the increasing population growth population in Indonesia, this will affect the level of demand for rice for food needs. The problem of rice consumption and its fulfillment is an important agenda. If Indonesia does not want to depend on rice imports, then paddy production must continue to be increased. Therefore, food availability in each region is maintained to realize food security. Objective: The purpose of this study is to analyze the factors that influence the increase paddy production in terms of cultivation and postharvest using a system dynamics model approach as the basis for policy strategy preparation.Methods: System Dynamics (SD) approach with the consideration that this framework offers the ability to study and manage complex feedback systems and the ability to model non-linear behavior. Then do a series of decision scenarios to get the best results using computer assistance.Results: Scenario results indicate that increasing paddy production to meet demand in Indonesia can be done by increasing the adoption of postharvest harvesting mechanisms coupled with the application of appropriate GAP (Good Agricultural Practice). It will increase paddy production in East Java so that it will make a large contribution to rice production in East Java.Conclusion: This research can be used to improve paddy production to food security by improving harvesting mechanisms. For further research, we can consider increasing rendement paddy in supporting increased rice production.

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

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

The Usage of E-Learning Model To Optimize Learning System In Higher Education by Using Dick and Carey Design Approach Anak Agung Gde Satia Utama
Journal of Information Systems Engineering and Business Intelligence Vol. 2 No. 1 (2016): April
Publisher : Universitas Airlangga

Abstract— Nowadays many universities in the world apply technology enhanced learning in order to help learning activities. Due to the potentials technology enhanced learning offers, recent education using it and universities in particular are trying to apply it. One of the subjects of this research is The Accounting Department of Airlangga University in Surabaya. The idea of this research is to investigate the students about how they know deeply about e-learning system and learning objectives as a first step to conduct e-learning model. After the model completed, the next step is to prepare database learning. Entity Relationship Diagram (ERD) can help to explain the model. The purpose of this research was done by using Dick and Carey Design Model. There are nine steps to conduct e-learning model. All steps can be categorized into three steps research: first is the introduction or empirical study, the next step is the design and the last is the feedback after the implementation. The methodology used in this research is using Qualitative Exploratory, by using questionnaire and interviews as data collection techniques. The analysis of the data shows organization requires information about e-learning content, user as a learning subject and information technology infrastructures. E-learning model as one of the alternative learning can help users to optimized learning. Keywords— E-learning Content, Database Learning, Entity Relationship Diagram, Dick and Carey Design, E-learning model and Optimize learning

Pembangunan Tools Audit Sistem Informasi Berdasarkan COBIT 5 pada Domain Align, Plan, And Organize (APO) Mukhammad Ilham Nur Faizin; Eva Hariyanti; Badrus Zaman
Journal of Information Systems Engineering and Business Intelligence Vol. 1 No. 2 (2015): October
Publisher : Universitas Airlangga

Abstrak—Perkembangan teknologi informasi (TI) yang pesat mendorong penerapan proses tata kelola TI untuk dapat mencapai tujuannya. Untuk mengetahui ketercapaian tujuan tersebut, diperlukan suatu alat atau tools berupa checklist untuk memudahkan pengukuran ketercapaian tujuan dan tingkat kapabilitas proses. Penelitian ini bertujuan untuk membuat suatu alat pengukuran tingkat kapabilitas yang dapat membantu proses audit sistem informasi berdasarkan COBIT 5 pada domain Align, Plan, and Organize (APO). Pembangunan alat pengukuran tingkat kapabilitas dilakukan dalam empat tahap. Tahap pertama adalah analisis mengenai variabel atau indikator yang dibutuhkan dalam checklist pengukuran berdasarkan COBIT 5 dan Panduan Tata Kelola TIK Nasional. Tahap kedua adalah desain isi dan perancangan alat. Tahap ketiga adalah pembangunan alat menggunakan perangkat lunak spreadsheet. Pada tahap keempat dilakukan evaluasi melalui pemberian kuesioner terkait alat kepada responden pengguna alat. Responden yang dilibatkan adalah staf Direktorat Sistem Informasi Universitas Airlangga. Komponen yang dievaluasi meliputi konten, antar muka, serta fungsional dan operasional alat. Hasil evaluasi selanjutnya digunakan sebagai dasar untuk perbaikan alat. Hasil dari penelitian ini berupa alat yang memberikan luaran tingkat kapabilitas proses saat ini dan saran perbaikan untuk mencapai tingkat kapabilitas yang diinginkan. Hasil evaluasi menunjukkan bahwa 86% responden menyatakan alat memiliki konten yang mudah dipahami dan antar muka yang baik, dan 81% responden menyatakan alat memiliki fungsional dan operasional yang baik.Kata Kunci— Alat Pengukuran, Tingkat Kapabilitas, COBIT 5, Panduan Tata Kelola TIK NasionalAbstract—Fast growth of information technology (IT) encourages the implementation of IT governance processes to achieve its purposes. To determine its achievement, several tools in a checklist form is required to ease the measurement of purpose achievement and process capability level. This study aims to develop capability level measurement tools which can help in information system audit process based on COBIT 5 in domain of Align, Plan, and Organize (APO). The development of capability level measurement tools was done in four stages. The first stage was the analysis about variables or indicators needed in the making of the measurement checklist based on COBIT 5 and Panduan Tata Kelola TIK Nasional (National ITC Governance Guide). The second stage was the content and the tools design. The third stage was building the tools using a spreadsheet software. The fourth stage was the tools evaluation by giving a questionnaire to its users. Respondents involved were the staff of Directorate Information System of Airlangga University. The components of evaluated tools consisted of its contents, interfaces, as well as its functions and operations. The result was used as a base for tools improvements. This study produces tools that gives outcomes in the form of current process capability level and improvement advices to achieve the expected capability level. Evaluation result shows that 86% of users agree that the tools have understandable contents and good interface, and 81% of users agrees that the tools have good functions and operations.Keywords—Measurement Tools, Capability Level, COBIT 5, National ITC Governance Guide

Fertilizer Production Planning Optimization Using Particle Swarm Optimization-Genetic Algorithm Dinita Rahmalia; Teguh Herlambang; Thomy Eko Saputro
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 2 (2019): October
Publisher : Universitas Airlangga

Background: The applications of constrained optimization have been developed in many problems. One of them is production planning. Production planning is the important part for controlling the cost spent by the company.Objective: This research identifies about production planning optimization and algorithm to solve it in approaching. Production planning model is linear programming model with constraints : production, worker, and inventory.Methods: In this paper, we use heurisitic Particle Swarm Optimization-Genetic Algorithm (PSOGA) for solving production planning optimization. PSOGA is the algorithm combining Particle Swarm Optimization (PSO) and mutation operator of Genetic Algorithm (GA) to improve optimal solution resulted by PSO. Three simulations using three different mutation probabilies : 0, 0.01 and 0.7 are applied to PSOGA. Futhermore, some mutation probabilities in PSOGA will be simulated and percent of improvement will be computed.Results: From the simulations, PSOGA can improve optimal solution of PSO and the position of improvement is also determined by mutation probability. The small mutation probability gives smaller chance to the particle to explore and form new solution so that the position of improvement of small mutation probability is in middle of iteration. The large mutation probability gives larger chance to the particle to explore and form new solution so that the position of improvement of large mutation probability is in early of iteration.Conclusion: Overall, the simulations show that PSOGA can improve optimal solution resulted by PSO and therefore it can give optimal cost spent by the company for the planning.Keywords: Constrained Optimization, Genetic Algorithm, Linear Programming, Particle Swarm Optimization, Production Planning

Penyelesaian Masalah Penempatan Fasilitas dengan Algoritma Estimasi Distribusi dan Particle Swarm Optimization Amalia Utamima; Angelia Melani Andrian
Journal of Information Systems Engineering and Business Intelligence Vol. 2 No. 1 (2016): April
Publisher : Universitas Airlangga

Abstrak—Masalah penempatan fasilitas pada garis lurus dikenal sebagai problem Penempatan Fasilitas pada Satu Baris (PFSB). Tujuan PFSB, yang dikategorikan sebagai masalah NP-Complete, adalah untuk mengatur tata letak sehingga jumlah jarak antara pasangan semua fasilitas bisa diminimalisir. Algoritma Estimasi Distribusi (EDA) meningkatkan kualitas solusi secara efisien dalam beberapa pengoperasian pertama, namun keragaman dalam solusi hilang secara pesat ketika semakin banyak iterasi dijalankan. Untuk menjaga keragaman, hibridisasi dengan algoritma meta-heuristik diperlukan. Penelitian ini mengusulkan EDAPSO, algoritma yang terdiri dari hibridisasi EDA dan Particle Swarm Optimization (PSO). Tujuan dari penelitian ini yaitu untuk menguji performa algoritma EDAPSO dalam menyelesaikan PFSB.Kinerja EDAPSO yang diuji dalam 10 masalah benchmark PFSB dan EDAPSO berhasil mencapai solusi optimal.Kata kunci—penempatan fasilitas, algoritma estimasi distribusi, particle swarm optimizationAbstract—The layout positioning problem of facilities on a straight line is known as Single Row Facility Layout Problem (PFSB). Categorized as NP-Complete problem, PFSB aim to arrange the layout so that the sum of distances between all facilities’ pairs can be minimized. Estimation of Distribution Algorithm (EDA) improves the solution quality efficiently in first few runs, but the diversity lost grows rapidly as more iterations are run. To maintain the diversity, hybridization with meta-heuristic algorithms is needed. This research proposes EDAPSO, an algorithm which consists of hybridization of EDA and Particle Swarm Optimization (PSO). The objective of this research is to test the performance of EDAPSO algorithm for solving PFSB. EDAPSO’s performance is tested in 10 benchmark problems of PFSB and it successfully achieves optimum solution.Keywords— facility layout, estimation distribution algorithm, particle swarm optimization

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

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

Relevance Feedback using Genetic Algorithm on Information Retrieval for Indonesian Language Documents Salman Dziyaul Azmi; Retno Kusumaningrum
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 2 (2019): October
Publisher : Universitas Airlangga

Background: The Rapid growth of technological developments in Indonesia had resulted in a growing amount of information. Therefore, a new information retrieval environment is necessary for finding documents that are in accordance with the user’s information needs.Objective: The purpose of this study is to uncover the differences between using Relevance Feedback (RF) with genetic algorithm and standard information retrieval systems without relevance feedback for the Indonesian language documents.Methods: The standard Information Retrieval (IR) System uses Sastrawi stemmer and Vector Space Model, while Genetic Algorithm-based (GA-based) relevance feedback uses Roulette-wheel selection and crossover recombination. The evaluation metrics are Mean Average Precision (MAP) and average recall based on user judgments.Results: By using two Indonesian language document datasets, namely abstract thesis and news dataset, the results show 15.2% and 28.6% increase in the corresponding MAP values for both datasets as opposed to the standard Information Retrieval System. A respective 7.1% and 10.5% improvement on the recall value at 10th position was also observed for both datasets. The best obtained genetic algorithm parameters for abstract thesis datasets were a population size of 20 with 0.7 crossover probability and 0.2 mutation probability, while for news dataset, the best obtained genetic algorithm parameters were a population size of 10 with 0.5 crossover probability and 0.2 mutation probability.Conclusion: Genetic Algorithm-based relevance feedback increases both values of MAP and average recall at 10th position of retrieved document. Generally, the best genetic algorithm parameters are as follows, mutation probability is 0.2, whereas the size of population size and crossover probability depends on the size of dataset and length of the query.Keywords: Genetic Algorithm, Information Retrieval, Indonesian language document, Mean Average Precision, Relevance Feedback

Visualisasi Data Menggunakan Sistem Informasi Geografis untuk Potensi Bank Sampah di Surabaya Muhammad Zaky Erdiansyah; Taufik Taufik; Indra Kharisma Raharjana
Journal of Information Systems Engineering and Business Intelligence Vol. 2 No. 1 (2016): April
Publisher : Universitas Airlangga

Abstrak—Bank sampah adalah tempat pemilahan dan pengumpulan sampah yang dapat didaur ulang dan digunakan ulang yang memiliki nilai ekonomi. Bank sampah memiliki potensi sampah yang bermanfaat, terdiri dari potensi sampah plastik, kertas, kaca dan besi. Potensi sampah tersebut dibutuhkan oleh perusahaan yang menggunakan bahan baku dari barang bekas pakai untuk di daur ulang menjadi produk yang memiliki harga di pasaran. Permasalahan bank sampah di Surabaya dapat dibagi menjadi dua masalah utama, yaitu pemantauan kegiatan bank sampah dan pencarian letak bank sampah beserta potensi yang dimiliki. Kedua permasalahan tersebut dapat diselesaikan dengan visualisasi data menggunakan sistem informasi geografis untuk potensi bank sampah di Surabaya. Sistem ini dibangun dengan langkah langkah sebagai berikut, yaitu pertama melakukan pengumpulan kebutuhan, analisis kebutuhan, perancangan sistem, pembangunan prototype, evaluasi dengan pengguna, pengembangan skala besar dan evaluasi sistem. Hasil evaluasi sistem menunjukkan bahwa 100% sistem berjalan dengan baik dan benar, 42.3% user sangat setuju, 51% user setuju, 6% user tidak setuju, dan 0.7 % user sangat tidak setuju bahwa visualisasi data menggunakan sistem informasi geografis untuk potensi bank sampah di Surabaya mempermudah pemantauan kegiatan penimbangan bank sampah dan mempermudah pencarian letak bank sampah beserta potensi yang dimiliki. Kata Kunci—bank sampah, visualisasi data, Sistem Informasi Geografis.Abstract—Trash bank was the place for sorting and collecting garbage that could be recycled and reused and had economic value. Trash bank had potential benefits, such as potential plastic, paper, glass and iron waste. This potential waste was needed by companies that use raw materials from used goods to be recycled into products that had market potential. Problems of trash bank in Surabaya could be divided into two main issues, first was the monitoring of the trash bank's activities, second was the search of trash bank location and its potential. Both of these problems could be solved by the data visualization using geographical information system for potential trash bank in Surabaya. This system was built with the following steps: requirements collection, requirements analysis, system design, prototype development, user evaluation, development of large-scale systems and evaluation. Results of the evaluation of the system showed that 100% of the system ran properly, 42.3% of users strongly agree, 51% of users agree, 6% of users did not agree, and 0.7% of users strongly did not agree that visualization of data using geographic information system for potential trash bank in Surabaya succeeded to facilitate the monitoring process of the of trash weighing activities in trash banks and helped the search of trash bank with its potential much easier. Keywords—Trash Bank, Data Visualization, Geographical Information System

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