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Darius Andana Haris
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INDONESIA
JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Published by Universitas Tarumanagara
ISSN : 23028769     EISSN : 23032529     DOI : -
Core Subject : Science, Education,
Computer Science & IT Mathematics Other
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 937 Documents
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IMPLEMENTASI OPINION MINING UNTUK PROVIDER INTERNET MENGGUNAKAN METODE NAIVE BAYES. Devin Abipraya; Viny Christanti Mawardi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 2 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.139 KB) | DOI: 10.24912/jiksi.v9i2.13109

Abstract

The development of information technology is growing from year to year. To support the smooth flow of information, there are many internet service providers circulating in Indonesia to support their needs. Some of the largest internet service providers in Indonesia such as Indihome, First media, and Biznet Home definitely have their own advantages and disadvantages.At this time, internet provider providers only accept customer complaints or suggestions through the customer service (CS) call center. Meanwhile, many young Indonesians currently use one of the popular Social Media services, namely Twitter as a user-friendly microblogging service so that users can easily use it, especially in delivering messages in the form of tweets. Therefore, a sentiment analysis program was designed for several internet providers in Indonesia. Opinions or Opinions will be analyzed to determine public sentiment. These sentiments will be classified into 3 sentiments, namely negative, positive, and neutral sentiments. The sentiment classification process can be done manually, but if there is too much data, it requires a system equipped with a classification method, so that the determination of classification can be done quickly. The design of this program applies the Naive Bayes Classifier method. Because this method is supervised learning, it requires training datasets with labels. Labeling will be done automatically using the K-means method. K-Means will sort tweets into groups which are divided into 3 labels. The results of the K-means clustering accuracy are 73.4%. The results of this application are divided into 2 parts, namely a pie chart which is divided into slices that describe the results of the percentage of tweet classifications and a table of classification results containing the number, content of the tweet, and the results of the classification. The best level of accuracy in testing uses 220 training data, and 54 training data. The results of the accuracy of 83.3%.
SISTEM PAKAR PENUNJANG KEPUTUSAN PENJURUSAN KULIAH BERDASARKAN KEPRIBADIAN DENGAN TEST MMPI 1 DENGAN METODE CERTAINTY FACTOR Ni Putu Diah Ayu Vita Widia Murti; Chairisni Lubis; Dedi Trisnawarman
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 2 (2015): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v3i2.3322

Abstract

Personality is the part of every human which is a prominent characteristic of the human person, the whole way a man react and interact with other human beings. Personality is most often described in terms that could be measured properties exhibited by someone. A system designed to help determine personality by Certainty Factor method. Certainty Factor method focuses on the level of confidence. The input of this system is the input value scale of MMPI (Minnesota Multiphasic Personality Inventory) 1 test and process with Certainty Factor that released the results of personality type. The Result of the 120 cases was 82.5% accuracy rate.Key wordscertainty factor, expert system, Minnesota Multiphasic Personality Inventory, personality type
JOB SHOP SCHEDULING PROBLEM DENGAN ARTIFICIAL IMMUNE SYSTEM Ericko Satyagraha; Lely Hiryanto; Gunadi Gan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 2 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i2.3126

Abstract

The designed system is a job shop scheduling system using Artificial Immune System (AIS). This system will process each n jobs and every m machines in order to obtain a production schedule that has the smallest total processing time of production (makespans). Tests on the form that is already functioning as expected and where the influence of the size and number of iterations antibody discovery impact the best schedule. Keywords : Artificial Immune System, Antibody, Clone, Mutation, Vactination, Receptor.
APLIKASI E-COMMERCE DENGAN PERINGKAT OTOMATIS MENGGUNAKAN NAIVE BAYES PADA KAIJIN STORE G. Christian Happy
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (86.88 KB) | DOI: 10.24912/jiksi.v4i2.104

Abstract

E-Commerce Applications wtih Automatic RAting Using Naive Bayes On Store Kaijin an E-Commerce website that connects buyers and sellers with its rank is automatic. The system is made using Naive Bayes method to automatically ranked based on the comments. Ranking results are divided into two categories: positive comments and negative comments. Ranking one and two are included in the negative category, while no. three and four are included in the positive category. The test results using the confusion matrix for the evaluation process. Tests using 160 training data nd test data 40 is 40 there are 36 incoming data to the actual ratings and four the data differ from actual ratings so system accuracy of 90%.
PEMBUATAN SISTEM INFORMASI PENJUALAN BERBASIS WEB PADA PT.TAINAN ENTERPRISES INDONESIA Ilsan Kusnarto
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (62.85 KB) | DOI: 10.24912/jiksi.v4i2.109

Abstract

Founded in August 1961, Tainan Enterprises Co., Ltd. is a professional garment OEM manufacturer. The main products include: pants, shirts, dresses, skirts, jackets, vests, and coats. Tainan Enterprises initially engaged in low-end and middle-end garments of K-mart and other discount stores. In 1995, it entered the market of middle-end and high-end garments after accepting orders from Conex. Currently, the company’s main clients include: GAP, MAST, Ann Taylor, Macy’s, Talbots, and other middle-end and high-end casual apparel retailers. At present, Tainan Enterprise’s Tainan Plant is the product design center and it is the production base of high-end products. In addition, the processes and management in Taiwan have been transferred to overseas production bases, including Indonesia, China, and Cambodia. In addition to the progressive internalization of the production base, the company has also actively developed its own brand. In 1999, Tainan Enterprises (Cayman) Co., Ltd. was established, which is the holding company for the development of private labels. To date, About men's and women's wear there are near to 200 sales locations in China.
SISTEM INFORMASI PERPUSTAKAAN BERBASIS WEB DI SEKOLAH HARAPAN LESTARI Timothius Simon; Dali Santun Naga; Wasino Wasino
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.342 KB) | DOI: 10.24912/jiksi.v8i2.11539

Abstract

Library management at Harapan Lestari School, such as borrowing books and book data, is still in a manual process, so there are often difficulties in making reports and in storing existing data. These problems make Sekolah Harapan Lestari have the desire to have an Information System in their library, which can overcome existing problems. Therefore a web-based library information system was designed by using PHP, MySql, and XAMPP with the System Development Life Cycle (SDLC) method in the hope of helping in the process of managing libraries in Harapan Lestari School.The function of the program, among others: from the Front End are the registration to become a member of the library, view the book catalog, make loans see the list of loans along with their status, see a list of returns, see a list of fines and their status, see a list of lost or damaged books and their status. From the Back End side, it can manage books, confirm various kinds of events in the library such as borrowing repayments, fines, replacing lost or damaged books, and reports
PERANCANGAN ROBOT FOLLOWER MENGGUNAKAN HISTOGRAM MATCHING DAN PYRAMID SEARCHING Yapriady Yapriady
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 2 (2014): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v2i2.3234

Abstract

In this project, the robot have ability to detect the movement of object using the camera. The first process is tracking by search in part of image captured by the camera. Each frame will be compared with a pixel matrix of the object of interest. Searching process is started from the middle of the image captured by the camera then is continued into matrix of pixels in other areas using Pyramid Searching method. We use Histogram Matching method to compare between matrix of pixels. The Direction of moving object’s information will be sent to the microcontroller to move the robot. Key words Histogram Matching, Pyramid Searching, Robot Follower
PEMBUATAN GAME MATCH 3 "BE A HERO" MENGGUNAKAN UNITY Yoseph Victor Kusuma; Jeanny Pragantha; Darius Andana Haris
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.504 KB) | DOI: 10.24912/jiksi.v6i2.2660

Abstract

Game “Be a Hero” adalah game dengan genre puzzle role-playing game dengan tampilan 2D pada komputer. Game ini dirancang dengan menggunakan game engine Unity dengan C# sebagai bahasa pemrogramannya. Game ini memiliki tujuan sebagai sarana hiburan dan mengisi waktu luang dengan mengerjakan puzzle match-three dan mengalahkan musuh. Pengujian dilakukan dengan metode blackbox testing, alpha testing oleh dosen pembimbing, dan beta testing dengan melalui survei pada 30 responden. Hasil pengujian menunjukkan bahwa masih banyak pemain (66.67%) yang tidak pernah memainkan game puzzle role-playing game. Game “Be a Hero” memiliki desain tampilan dan gameplay yang menarik, namun masih memiliki kekurangan yaitu animasi yang terlalu kaku.
SISTEM PEMESANAN HOTEL BERBASIS WEB MENGGUNAKAN METODE APRIORI DAN SIMPLE ADDITIVE WEIGHTING Christopher Louis Fabian; Bagus Mulyawan; Janson Hendryli
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (187.495 KB) | DOI: 10.24912/jiksi.v6i2.2624

Abstract

Web-based hotel application using Apriori method, the use of method based on the number of transactions that users do. Then look for the value of each itemset combination, which will then eliminated by the predetermined support value, after obtaining the result of elimination, then the association rule will be found to obtain a confidence value that will result in a percentage of each combination of facilities that have been eliminated.For the use of Simple Additive Weighting method, the data taken based on the total existing hotel, there are 250 hotels obtained from traveloka website. First, to find the SAW value determines the initial matrix to record the name of the hotel along with the given criteria, after which search fot the normalization matrix of the smallest and largest value divisions in each criteria, and the last step is the calculation of the vector weights can be determined by each user to determine priority criteria. After getting the result of the value of each hotel it will be sorted form the biggest point, so it will show the list of hotels with the biggest SAW points.
PERANCANGAN SISTEM REKOMENDASI PENJURUSAN PADA SEKOLAH MENENGAH KEJURUAN SANTO PAULUS MENGGUNAKAN METODE K-MEANS CLUSTERING Isaias F.X.F.A. Felnditi; Desi Arisandi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (404.708 KB) | DOI: 10.24912/jiksi.v8i1.11472

Abstract

Santo Paulus Vocational School in Jakarta, is one of the Private Schools in Central Jakarta which holds majors for grade X (ten) students who will continue their studies to grade XI (eleven). The obstacle that is often found in the majors in SMK Santo Paulus Jakarta is the difficulty in determining which students meet the criteria to occupy certain majors. This is because the majors process is still done manually, so it requires quite a long time and is considered inappropriate. This study, purpose to the K-Means Clustering algorithm for the decision support system of student majors at SMK Santo Paulus Jakarta. K-Means Clustering algorithm can group data that has attributes and has a large amount of data, so that it can be utilized in the determination of student majors in accordance with students' academic abilities.Based on the results of the implementation of the K-Means Clustering algorithm for the majors decision support system, the conclusion that can be drawn is the K-Means-Clustering algorithm can be applied in the student majors decision support system.

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