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Jurnal Informatika

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Published by Universitas Bina Sarana Informatika

ISSN : 23556579 EISSN : 25282247 DOI : https://doi.org/10.31294/ji.v4i2

Core Subject : Science,

Computer Science & IT

Jurnal Informatika respects all researchers Technology and Information field as a part spirit of disseminating science resulting and community service that provides download journal articles for free, both nationally and internationally. The editorial welcomes innovative manuscripts from Technology and Information field. The scopes of this journal are: Expert System Decision Support System Data Mining Artificial Intelligence System Machine Learning Genetic Algorithms Business Intelligence and Knowledge Management Big Data the manuscripts have primary citations and have never been published online or in print. Every manuscript will be checked the plagiarism using Turnitin software. If the manuscript indicated major plagiarism, the manuscript is rejected.

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 316 Documents

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APLIKASI ADAPTIVE NEURO FUZZY INFERENCE SYSTEM PEMILIHAN SISWA MENGIKUTI LOMBA OLIMPIADE MATEMATIKA Hendri Hendri
Jurnal Informatika Vol 3, No 1 (2016): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

Abstract -Currently for the selection of students who participate in the competition at SMAN 10 Jakarta done by consensus ( meeting ) and the value of the selection contest. So in this study, based Applications Adaptive Neuro Fuzzy Inference System ( ANFIS ) is used to select students who participate in the competition based on the Olympic Standard Operating Procedures issued by the Directorate of Education High School. Testing in this study using several membership functions to generate the level of conjecture closest to real conditions. By using Backpropagation and gaussmf membership functions can produce 0.15248 root mean square error and the feasibility of the system has a score of 80.87 that students electoral system that would meet quality standards. Keywords : Students Following the Contest , Adaptive Neuro Fuzzy Inference System Saat ini untuk pemilihan siswa yang mengikuti lomba pada SMAN 10 Bekasi dilakukan berdasarkan musyawarah (rapat) dan nilai seleksi lomba. Maka pada penelitian ini, Aplikasi berbasis Adaptive Neuro Fuzzy Inference System (ANFIS) digunakan dalam memilih siswa yang mengikuti lomba berdasarkan Standar Operasional Prosedur Olimpiade yang dikeluarkan oleh Direktorat Pembinaan Pendidikan Sekolah Menengah Atas.Pengujian dalam penelitian ini menggunakan beberapa fungsi keanggotaan untuk menghasilkan tingkat dugaan yang paling dekat dengan kondisi riil. Dengan menggunakan metode Backpropagation serta fungsi keanggotaan gaussmf dapat menghasilkan root mean square error 0,15248 serta tingkat kelayakan sistemnya memiliki skor 80.87 sehingga sistem pemilihan siswa yang akan memenuhi standar kualitas.Kata Kunci : Siswa Mengikuti Lomba, Adaptive Neuro Fuzzy Inference System.

Knowledge Management System Di Bidang Pelayaran Menggunakan Metodologi USDP Muhamad Nasihin
Jurnal Informatika Vol 4, No 1 (2017): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

AbstrakPT. Karunia Samudera Indonesia Ltd adalah perusahaan yang bergerak di bidang pelayaran lebih dari 22 tahun sejak tahun 1995 sampai sekarang menangani berbagai layanan armada transportasi air, badan, pengurusan dokumen, perekrutan kru, docking kapal, sering menggunakan media sosial dan email dalam penyebaran pengetahuan dan informasi yang dilakukan selama ini. Namun, media ini tidak dapat menampung informasi perusahaan ini dalam beberapa hal sebagai catatan pengetahuan yang dapat dicari kembali dan tidak sebagai media perekam untuk pengetahuan berdasarkan pengalaman di lapangan. Oleh karena itu, perlu dirancang sebuah sistem yang dapat mengkonversi pengetahuan tacit menjadi pengetahuan eksplisit yang berguna bagi PT. Karunia Samudera Indonesia dan kemudahan untuk menyampaikan informasi kepada para pengguna jasa. Sistem ini dirancang dengan menggunakan metodologi Unified Software Development Process (USDP) yaitu sebuah aplikasi web yang menerapkan konsep Sistem Manajemen Pengetahuan (Knowledge Management), dimana pengguna dapat berinteraksi dengan PT. Karunia Samudera Indonesia sebagai anggota dari sistem dengan mengomentari artikel yang merupakan bentuk pengetahuan yang telah didokumentasikan. Kata kunci: Knowledge Management System, Unified Software Development Process, Web Application. AbstractKarunia Samudera Indonesia Co. Ltd. is a company that engaged in shipping more than 22 years since 1995 up to now handle a variety of water transport fleet services, the agency, processing of documents, crew recruitment, docking ships, often using social media and email in the dissemination of knowledge and information that is carried out so far. However, these media can not accommodate this company in some ways as the notes of the knowledge that can be searched back and not as a recording medium for the knowledges based on experience in the field. Therefore, we need to design a system that can convert tacit knowledge into explicit knowledge that is useful for Karunia Samudera Indonesia Co. Ltd. and ease to communicate information to the users of services. The system was designed using the methodology of the Unified Software Development Process (USDP) in this research is a web application that implements the concept of Knowledge Management System (Knowledge Managements), which the user can interact with Karunia Samudera Indonesia Co. Ltd. as a member of the system by commenting on the article which is a form of knowledge that has been documented. Keywords: Knowledge Management System, Unified Software Development Process, Web Application.

IMPLEMENTASI METODE K-NEAREST NEIGHBOR UNTUK KLASIFIKASI CITRA SEL PAP SMEAR MENGGUNAKAN ANALISIS TEKSTUR NUKLEUS Toni Arifin
Jurnal Informatika Vol 2, No 1 (2015): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

Abstract - Cervical cancer is the one of cause women death in the world. At least every 2 minutes 1 people death it cause of cervical cancer. One of prevention to early detection of cervical cancer is Pap Smear examination. Pap Smear test conducted to determine infection or abnormal cell that can turn into cancer cell. In this research used texture analysis data obtained from the result of image processing cell nucleus of normal and abnormal Pap Smear and 7 class Pap Smear cells is Normal Superficial (NS), Normal Intermediate (NI), Normal Columnar (NC), Mild (Light) Dysplasia (MLD), Severe Dysplasia (SD), Moderate Dysplasia (MD), Carcinoma In Situ (CIS). Image data derived from the data Harlev is totaling 280 images. The method of this research is used classification K-nearest neighbor method and for testing is used Confusion Matrix to see how much accuracy is generated by using K-nearest neighbor method. The result accuracy of normal and abnormal classification is 73,10% and for class classification is 33,33%. Keywords: Texture Analysis, K-nearest neighbor , Classification, Pap Smear Cell, Cervical Cancer, Confusion Matrix. Abstrak - Kanker serviks merupakan salah satu penyebab kematian wanita di dunia. Setidaknya setiap 2 menit 1 orang di dunia meninggal karena kanker serviks. Salah satu cara pencegahan untuk mendeteksi secara dini kanker serviks adalah dengan melakukan Pemeriksaan Pap Smear. Tes Pap Smear dilakukan untuk melihat adanya infeksi atau sel-sel yang abnormal yang dapat berubah menjadi sel kanker. Pada penelitian ini menggunakan data analisis tekstur yang didapatkan dari hasil pengolahan citra inti sel Pap Smear normal dan abnormal dan 7 kelas sel Pap Smear yaitu Normal Superficial (NS), Normal Intermediate (NI), Normal Columnar (NC), Mild (Light) Dysplasia (MLD), Severe Dysplasia (SD), Moderate Dysplasia (MD), Carcinoma In Situ (CIS). Data citra berasal dari data Harlev yang berjumlah 280 citra. Metode yang digunakan dalam penelitian ini adalah metode klasifikasi K-nearest neighbor dan untuk pengujiannya menggunakan Confusion Matrix untuk melihat seberapa besar akurasi yang dihasilkan dengan menggunakan metode K-nearest neighbor . Akurasi yang dihasilkan dari klasifikasi normal dan abnormal adalah 73,10% dan untuk akurasi klasifikasi kelas adalah 33,33%. Kata Kunci: Analisis Tekstur, K-nearest neighbor , Klasifikasi, Sel Pap Smear, Kanker Serviks, Confusion Matrix.

Klasifikasi Statistikal Tekstur Sel Pap Smear Dengan Decesion Tree Toni Arifin; Dwiza Riana; Gita Indah Hapsari
Jurnal Informatika Vol 1, No 1 (2014): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

ABSTRAK Penelitian ini menyajikan analisis tekstur dan klasifikasi citra sel pap smear. Pada analisis tekstur difokuskan pada citra nukleus sel Pap smear, metode yang digunakan adalah metode Gray Level Co-occurrence Matrix (GLCM) dengan menggunakan lima parameter yaitu korelasi, energi, homogenitas dan entropi ditambah dengan menghitung nilai Brightness pada citra yang diproses. Citra yang digunakan dalam penelitian ini menggunakan data citra Harlev, yang terdiri dari 280 citra yang sudah dikategorikan ke dalam 7 kelas yaitu 3 kelas sel normal yang meliputi Normal Superficial, Normal Intermediate, and Normal Columnar dan 4 kelas lainnya adalah kategori kelas citra sel abnormal yang meliputi Mild (Light) Dyplasia, Moderate Dysplasia, Severe Dysplasia dan Carcinoma In Situ. Berdasarkan hasil pengolahan citra yang menghasilkan nilai matriks dari setiap parameter yang dihitung, citra sel Pap smear akan diklasifikasikan menurut jenisnya normal atau abnormal dan berdasarkan kelasnya dengan menggunakan decision tree yang diolah dengan algoritma clasifier J48 pada aplikasi weka. Untuk akurasi yang dihasilkan dari klasifikasi sel normal dan abnormal adalah 73% dan untuk akurasi klasifikasi tujuh kelas adalah 34,3%. Kata Kunci : Klasifikasi, Statistikal Tekstur, Sel Pap Smear, Decision Tree. ABSTRACT This research presents the texture analysis and classification of cells pap smear image. Texture analysis focused on the cell nucleus Pap smear image, the research method used the Gray Level Co-occurrence Matrix (GLCM) method, by using five parameter that include contrast, correlation, energy, homogeneity, entropy and brightness. The image used in this research using image data Harlev. The images from 280 subjects are categorized into seven classes. Three classes of which are normal cell image class categories that include Normal Superficial, Normal Intermediate, and Normal Columnar, and the other four classes are categories of abnormal cell image class that include Mild (Light) Dyplasia, Moderate Dysplasia, Severe Dysplasia and Carcinoma In Situ. Based on the results of image processing that produces a matrix of values of each parameter were calculated, Pap smear cell image will be classified according to the type of normal or abnormal and based on the class using the decision tree treated with algorithm clasifier J48 in weka applications. To the resulting accuracy of the classification normal and abnormal cells is 73% and for seven class classification accuracy is 34,3%. Keywords : Classification, Statistical Texture, Cell Pap Smear, Decision Tree

Optimalisasi Produksi Di Industri Garment Dengan Menggunakan Metode Simpleks Rizal Rachman
Jurnal Informatika Vol 4, No 1 (2017): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

AbstrakAplikasi optimalisasi Produksi dan Keuntungan pada perusahaan Garment ini dibangun untuk mengatasi permasalahan tersebut. Aplikasi ini memiliki kemampuan dalam mengolah data bahan baku benang, data waktu kerja, data kebutuhan produksi dan data beban untuk dilakukan perhitungan pengoptimalan. Adapun dasar perhitungan yang dilakukan meliputi perhitungan optimasi menggunakan metode Simpleks dan Visual Basic 6. Hasil keluaran dari aplikasi ini adalah banyak yang diproduksi berdasarkan sumber daya benang yang ada, biaya total beban pengeluaran yang dikeluarkan saat proses produksi serta keuntungan kotor dan bersih dari penjualan. Aplikasi ini dapat meningkatkan keuntungan perusahaan dan tingkat prosentase keuntungan bergantung pada besar harga perbandingan penjualan antara produkyang satu dengan yang lainnya.Kata kunci : Optimasi, Metode simpleks, Linier Programming,AbstractApplication optimization of Production and Profits in Garment company is built to overcome these problems. This application has the ability to process data yarn materials, work time data, the data needs of production and expense data for calculation optimization. The basis of calculation was conducted on the optimization calculations using the Simplex method and Visual Basic 6. The output of this application is many are produced based on the resources existing threads, the total cost of expenditure incurred during the production process as well as gross and net profits from sales. This application can increase corporate profits and the percentage of large profits depend on the price comparison between the sale of one product to another. Keywords: optimization, simplex method, Linear Programming.

INFORMATION SYSTEM SECURITY (CYBER SECURITY) Muhammad Siddique Ansari
Jurnal Informatika Vol 2, No 1 (2015): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

Abstract - Business Organizations and Government unequivocally relies on upon data to deal with their business operations. The most unfavorable impact on association is disappointment of friendship, goodness, trustworthiness, legitimacy and probability of data and administrations. There is an approach to ensure data and to deal with the IT framework's Security inside association. Each time the new innovation is made, it presents some new difficulties for the insurance of information and data. To secure the information and data in association is imperative on the grounds that association nowadays inside and remotely joined with systems of IT frameworks. IT structures are inclined to dissatisfaction and security infringement because of slips and vulnerabilities. These slips and vulnerabilities can be brought on by different variables, for example, quickly creating headway, human slip, poor key particulars, poor movement schedules or censuring the threat. Likewise, framework changes, new deserts and new strikes are a huge piece of the time displayed, which helpers augmented vulnerabilities, disappointments and security infringement all through the IT structure life cycle. The business went to the confirmation that it is essentially difficult to ensure a slip free, risk free and secure IT structure in perspective of the disfigurement of the disavowing security parts, human pass or oversight, and part or supplies frustration. Totally secure IT frameworks don't exist; just those in which the holders may have changing degrees of certainty that security needs of a framework are fulfilled do. The key viewpoints identified with security of data outlining are examined in this paper. From the start, the paper recommends pertinent legitimate structure and their duties including open association obligation, and afterward it returns to present and future time, system limits, structure security in business division. At long last, two key inadequacy markers system force and structure reliance – are discovered and tantamount with EU nations. Thusly I indicated reason viewpoints and figures of security of data structures it additionally relates to the reason of estimation of transient dangers of security of frameworks for that I begin my proposal with one of the fundamental class of data security which is Cyber security. Keyword : Cyber Security, IT

PENERAPAN GLOBAL EXTREME PROGRAMMING PADA SISTEM INFORMASI WORKSHOP, SEMINAR DAN PELATIHAN DI LEMBAGA EDUKASI Baginda Oloan Lubis
Jurnal Informatika Vol 3, No 2 (2016): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

Abstract Institutions of education as one of the service agencies workshops, seminars and training with information systems that are still manual at the time of printing id cards, the manufacture of attendance, printing certificates and report generation often had difficulty in searching data and other impacts arising from manual systems. Therefore the design of information systems or desktop based application creation is a solution to provide convenience to the user in the process of data processing, data retrieval to preparing reports. Model systems development workshops, seminars and training used in the design of information systems workshops, seminars and training using a model of Agile Software Development, which was discovered and developed by Robert Cecil Martin with process models Global Extreme Programming, namely the development of XP (Extreme Programming) Life Cycle. While the tools used by the UML (Unifed Modeling Language) and ERD (Entity Relationship Diagram). Hopefully, by the design of this system will allow a user who uses the id card printing, manufacture of attendance, certificate printing and reporting each end of the activity.

Sistem Penunjang Dalam Penentuan Prioritas Pemilihan Percetakan Media Promosi Menggunakan Metode AHP Fattya Ariani
Jurnal Informatika Vol 4, No 2 (2017): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

AbstrakPromosi merupakan komponen utama dalam dunia bisnis. Hal tersebut tidak bisa lepas dari peran promosi media cetak. Pemilihan media promosi merupakan masalah multi kriteria. Pada umum ada beberapa kriteria yang mempengaruhinya. Penelitian ini bertujuan untuk penentuan prioritas pemilihan media cetak dengan metode Analytical Hierarchy Process (AHP). Dimana alternatif dan kriteria telah ditentukan oleh divisi yang bersangkutan. Kriteria yang ditentukan ada tujuh kriteria, yaitu kualitas, harga, estimasi waktu pengerjaan, sistem kontrol, pelayanan, pembayaran dan pengiriman. Keputusan yang dapat diambil berdasarkan hasil dari stimuli responden yaitu dengan pemberian kuesioner yang berisi perbandingan antar kriteria dan alternatif. Dan dengan menggunakan tools Expert Choice dalam pengolahan data dengan metode AHP. Hasil pengujian nilai AHP pada berbahan dasar frontlite sebesar 0,9976. Dan percetakan 1 mendapat peringkat pertama Kata Kunci: DSS, AHP, Media Promotion, Percetakan AbstractPromotion is a major component in the business world. It could not be separated from the role of printing media promotion. Selection of printing media campaign is a multi-criteria problems. In general, there are several criteria that influence it. This study aimed to prioritize the selection of printing media campaign with method Analytical Hierarchy Process (AHP) . Where alternative and criteria have been determined by the relevant division. The prescribed criteria there are seven criteria, namely quality, price, estimated processing time, control systems, services, payment and delivery. Decisions can be taken based on the results of stimuli respondents, by giving a questionnaire containing a comparison between the criteria and alternatives. And by using the tools in Expert Choice AHP with the data processing . The test results value of AHP for at 0.9976 based frontlite. and printing 1 got the first rank. Keywords: DSS, AHP, Media Promotion, Percetakan

PERANCANGAN JARINGAN DENGAN ROUTER PC DAN VLSM (VARIABLE LESS SUBNET MASKING) : STUDI KASUS DI UNIVERSITAS BSI BANDUNG Ade Mubarok
Jurnal Informatika Vol 1, No 2 (2014): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

Abstract - Designing networks with PC Router is a network system which is made for the development of alternative systems that have been imposed on the Campus BSI Bandung University (UBSI) in the completeness of the information technology field. Network with a router PC system is expected to improve the performance of faculty, students and academic staff UBSI. The design and use of this network allows users, because it uses a system based GUI (Graphical User Interface) such as the Win box, Windows 7, Windows Server 2012. The method used for the development of the router configuration with VLSM (Variable Less Subnet Masking). Keywords: Network, Subnet, Router, VLSM Abstrak - Perancangan jaringan dengan Router PC merupakan suatu sistem jaringan yang di buat untuk alternatif pengembangan sistem yang sudah diberlakukan di Kampus Universitas BSI Bandung (UBSI) dalam bidang kelengkapan teknologi informasi. Sistem jaringan dengan router PC diharapkan dapat meningkatkan kinerja dosen, mahasiswa, dan karyawan civitas akademika UBSI. Perancangan dan penggunaan jaringan ini memudahkan pengguna, karena menggunakan sistem berbasis GUI (Graphical User Interface) seperti Win box, Windows 7, Windows Server 2012. Metode yang digunakan untuk pengembangan konfigurasi router yaitu dengan VLSM (Variable Less Subnet Masking ). Kata kunci : Jaringan, Subnet, Router, VLSM

METODE DATA MINING UNTUK KLASIFIKASI DATA SEL NUKLEUS DAN SEL RADANG BERDASARKAN ANALISA TEKSTUR Toni Arifin
Jurnal Informatika Vol 2, No 2 (2015): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

ABSTRACT - The Pap Smear test is done to see the presence of infection or changes in cells that can turn into cancer cells. In this research is using data on analysis results of texture image processing on previous research that is using a nucleus cell and inflammation cell in the image Pap Smear cell. The purpose of this research is to find the best method for classifying the nucleus cell and inflammation cell based on texture analysis GLCM (Gray Level Co-occurrence Matrix) in this research used of method Decision tree (C 4.5), Naive Bayes and k-Nearest Neighbour. The results of this research brings about the best methods for classification of the data nucleus cell and inflammation cell that is a method of Decision tree (C4.5) with accuracy 97,56% whereas results for Naive Bayes 90,89% and k-Nearest Neighbour 95,97%. Keywords: Data mining, classification, Pap Smear cell, Texture Analysis ABSTRAKSI - Tes Pap Smear dilakukan untuk melihat adanya infeksi atau perubahan sel-sel yang dapat berubah menjadi sel kanker. Pada penelitian ini menggunakan data analisis tekstur yang didapatkan dari hasil pengolahan citra pada penelitian sebelumnya yaitu menggunakan sel nukleus dan sel radang pada citra sel Pap Smear. Tujuan dari penelitian ini adalah mencari metode terbaik untuk mengklasifikasikan sel nukleus dan sel radang berdasarkan analisa teksur GLCM (Gray Level Co-occurrence Matrix) Metode yang digunakan dalam penelitian ini adalah metode Decision tree (C4.5), Naive Bayes dan k-Nearest Neighbour. Hasil dari penelitian ini didapatkan metode terbaik untuk klasifikasi data sel nukleus dan sel radang yaitu metode Decision tree (C4.5) dengan akurasi 97,56% sedangkan hasil untuk Naive Bayes 90,89% dan k-Nearest Neighbour 95,97%. Kata Kunci: Data mining, Klasifikasi, Sel Pap Smear, Analisa Tekstur

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