JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil penelitian kualitatif dan kuantitatif, perancangan sistem informasi, analisis dan perancangan progam aplikasi. Jurnal ini terbit dua kali dalam setahun yaitu pada bulan Januari dan Agustus.
Articles
895 Documents
IMPLEMENTASI APLIKASI JUAL BELI MOBIL BEKAS DENGAN METODE ANALYTICAL HIERARCHY PROCESS DAN NAIVE BAYES
Widi Santoso;
Viny Christanti Mawardi;
Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v9i1.11597
One area of life that is affected by the rapid development and advancement of technology is the automotive sector. Information technology bridges various groups who participate in automotive transaction activities. Therefore, the physical condition and performance of an automotive are determining factors for a buyer who wants to make a purchase.Not all types of automotive offered meet the buyers' standards, nor do they have a selling price in accordance with the quality described by the seller. The Analytical Hierarchy Process (AHP) method helps determine the type of automotive that suits the buyers' wishes and the Naïve Bayes method helps determine the selling price according to the quality of the automotive offered.The Analytical Hierarchy Process (AHP) method is a decision support model that describes a complex multi-factor or multi-criteria problem into a hierarchy, which in turn can organize complex problems into a more orderly and systematic manner. The Naïve Bayes method is a classification using probability and statistical methods that predict future opportunities based on past experiences. Naïve Bayes calculates a set of probabilities by adding up the frequency and value combinations from the given dataset. Based on the comparison of the calculation results with the tests carried out, the AHP method obtains an accuracy rate of 100% in displaying the criteria for cars being sold. Meanwhile, the Naïve Bayes method obtains an accuracy rate of 100% in determining whether a dealer is interested in buying a car or not.
PERANCANGAN APLIKASI PEMETAAN USAHA BATIK DI WILAYAH KOTA SURAKARTA BERBASIS GOOGLE MAPS
Benedict Benedict;
Ery Dewayani
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 2 (2015): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v3i2.3302
Kota Surakarta terletak di Jawa Tengah merupakan salah satu kota tujuan wisata yang terkenal dengan salah satu budaya tradisionalnya yaitu batik. Kecamatan Laweyan di Surakarta mayoritas penduduknya memiliki usaha batik. Karena banyaknya toko dengan skala dan kategori usaha yang berbeda maka untuk mempermudah pengunjung menemukan informasi yang dibutuhkan pada website yang dibuat informasi yang tersedia dapat dipilih berdasarkan skala usaha atau kategori usaha atau informasi dari keduanya. Selain itu dengan fitur pemetaan pada website diharapkan membantu pengunjung untuk menemukan lokasi toko berdasarkan letak geografisnya. Metode yang digunakan untuk rancangan website adalah System Development Life Cycle (SDLC), database yang digunakan adalah MySQL, bahasa pemrograman php, perangkat keras berupa Global Positioning System (GPS) untuk menentukan posisi geografis dari setiap usaha batik di Laweyan, serta bantuan dari Google Maps. Hasil uji coba melalui blackbox testing dan kuisioner menyatakan bahwa program sudah berjalan dengan baik dan mudah digunakan. Key wordsSIG, Google Maps, MySQL, php
PENJADWALAN PRODUKSI MENGGUNAKAN METODE FCFS, CDS DAN GUPTA
Wongso Sugino;
Herlina Abdullah
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v1i1.3098
Nowadays the scheduling system at PT Sutra Indah Utama performed manually and not using computing system. So the author would like to give suggestions that can be applied to production scheduling applications to determine overall production time or production time of each process. In this application, the company can see times comparison of production with the suggested method and the company method. PT Sutra Indah Utama is one of the companies that engaged in the manufacture of textile various types of fabrics with production systems pure Flowshop homage series. In the discussion here will discuss production scheduling from PT Sutra Indah Utama so it gets the maximum production scheduling. Therefore, the authors want to compare the time of company production with the suggested method. With CDS and Gupta proposed a method that may help to provide an alternative in production scheduling, which can accelerate the total production time or Makespan and maximizing the capacity of the machine optimally. Makespan is the total overall production time. CDS method faster than the Gupta method and the method the company, based on the results of the calculation of the average CDS method showed the result of the production time is short. Expected to be used and help to provide scheduling in PT Sutra Indah Utama .
IMPLEMENTASI CASE-BASED REASONING UNTUK SISTEM TANYA JAWAB PENYAKIT PADA ANJING
Andre Raymond;
Viny Christanti Mawardi
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v4i2.78
This debriefing question answering system using Case Base Reasoning algorithm. Case Base Reasoning is an algorithm to solve new problems by comparing the old problems or solve new problems by providing answers from a document.In this system uses several methods to process the document as an information / knowledge that makes the system increasingly relevant in answering the question. The method used is the Modified K-Nearest Neighbour, Vector Space Model and Paragraph Based Passage. M-KNN method is used to facilitate in classifying diseases in dogs, VSM method is used to search for relevant documents that match the query. then to provide answers to relevant documents obtained by the system used method Based Paragraph Passage. This level of accuracy obtained from this exchange system using training data 228 is equal to 92% with a value of k = 3.
APLIKASI GOOGLE MAPS API SISTEM INFORMASI PARIWISATA SUMATERA BARAT BERBASIS WEB
Ricat Ricat
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v8i1.11485
This website is used to help tourists find tourist destinations and car rentals. To create a website program using Hypertext Preprocessor (PHP). For database use PhpMyAdmin. The method used is the Unified Modeling Language (UML) method. Based on testing that has been done using BLACBOX, UAT and questionnaires. The results of this website make it easy for tourists to travel with maps that can go directly to tourist sites and make it easier for tourists to understand what facilities are in place.
KLASIFIKASI LAGU BERDASARKAN LIRIK BAHASA INDONESIA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE
Hendri Yukianto;
viny Christanti M;
Tony Tony
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 2 (2014): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v2i2.3209
A song has lyrics that sets it apart from other songs, because the lyrics are a set of words that make up a song. Song lyrics exhibit specific properties different from plain text documents – many lyrics are for example have different frequencies when compared to other text documents. Classification based on the Indonesian song lyrics still very rarely done. This study uses a Support Vector Machine (SVM) to classify Indonesian song based on lyric with genres Pop, Rock, Punk and Rap. In this study using SVM-light implementation that generates file model and file prediction from the results of the classification. Further, lyrics may use differ greatly in the length and complexity of the language used, which can be measured by some statistical features such as word or verse length, and the amount of repeating text. In this paper, we present results for musical lyric classification on a test collection in order to demonstrate our analysis. The highest accuracy obtained in this study using 50 training data amounted to 67.5%. Key words classification, Indonesian song, musical lyric, Support Vector Machine
SISTEM PAKAR DIAGNOSIS KERUSAKAN KOMPUTER DAN INTERNET DENGAN CERTAINTY FACTOR BERBASIS WEB
Hendra Liana;
Chairisni Lubis
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v6i2.2635
The application that I designed is an expert system to diagnose the faulty or error in computer. The two main components of problems that I address are hardware and software. There are two main feature of this expert system, which is consists of development environment and consultation environment. The development environment is made purposely to manage the diagnoses, symptoms, and relations from the problems that user may approach. As in the consultation environment, user can use it by inserting the input into the consultation table which is provided in the program, then the system will calculate the result based on the certainty factor method with forward chaining system. The final result of this application is a view of the symptoms that choosen by user, and display the probability of diagnoses, but only the diagnoses with the biggest certainty factor value will be choosen as a final result, and accompanied by a final solution.
PERANCANGAN APLIKASI SISTEM INFORMASI PARIWISATA BERBASIS WEB UNTUK DESA GIRITENGAH, BOROBUDUR
Sherly Sherly;
Desi Arisandi;
Tony Tony
Jurnal Ilmu Komputer dan Sistem Informasi Vol 5, No 1 (2017): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v5i1.2098
Giritengah village is a village located in the district of Borobudur, Magelang, Central Java Province is approximately 5 km to the southwest of Borobudur. Giritengah village has a variety of beautiful attractions. But the village is not known a lot of tourists because of the lack of information about tourist attractions and insufficient promotion method resulted Giritengah village is less known by tourists. Designing information system, Giritengah Village tourism is expected to introduce and provide information about the Village Giritengah and can help travelers to get information about tourist attractions and tourist services contained in the village Giritengah. The application development is also expected to increase tourist visits to the village of Giritengah. Methodology used to design this application is SDLC (System Development Life Cycle). Software support used in the design of this system is PHP, HTML, and Mysql contained in PhpMyAdmin, and uses Google Maps to display the location map travel by the coordinates of each attraction or tour
PERBANDINGAN METODE AHP DAN SAW DALAM MENENTUKAN CALON KARYAWAN
Kevin Kevin;
Bagus Mulyawan;
Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 2 (2019): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v7i2.7376
During this time in selecting prospective employees, still using manual methods. Therefore the solution needed is to make an application for selecting candidates using the AHP and SAW methods. This application can facilitate the company in selecting prospective employees. Data collection techniques used were observation and interviews. In working on this application using several structured methods such as flowcharts, context diagrams, and relationships between tables. The programming language used in designing this application is PHP and uses the MySQL database. The method used to perform calculations on this application is the AHP and SAW methods. The results of the comparison of the AHP and SAW methods have differences because, the calculation stages between the two methods are different. In determining the criteria weights in the AHP method are determined by comparing the values between criteria, while the SAW method has determined the weight of the criteria With the creation of this website-based employee candidate selection application, it is expected to help the company in determining prospective employees.
PEMBUATAN PROGRAM APLIKASI SIG BERBASIS WEB MENGENAI PARIWISATA KABUPATEN GUNUNGKIDUL
Johyandi Lukmana;
Wasino Wasino;
Desi Arisandi
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 1 (2014): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara
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DOI: 10.24912/jiksi.v2i1.3172
Mengembangkan program aplikasi Sistem Informasi Geografis (SIG) berbasis web untuk Kabupaten Gunungkidul. Pengembangan program aplikasi ini menggunakan bantuan Google Maps dalam penyampain informasinya. Program aplikasi ini diharapkan dapat memudahkan penyampaian informasi objek wisata di Kabupaten Gunungkidul dan sebagai sarana promosi objek wisata tersebut melalui internet. Metode penelitian yang digunakan dalam pembuatan program aplikasi ini yaitu pendekatan kualitatif, dimana dengan observasi dan wawancara langsung. Hasil yang didapat adalah program aplikasi yang dapat membantu penyampaian informasi dan sarana promosi objek wisata di Kabupaten Gunungkidul. Key wordsGoogle Maps, GPS, Internet, Sistem Informasi Geografis