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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JIK Jurnal Ilmu Komputer JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Seminar Nasional Informatika (SEMNASIF) Computatio : Journal of Computer Science and Information Systems Jurnal Ilmiah Universitas Batanghari Jambi INTECOMS: Journal of Information Technology and Computer Science ComTech: Computer, Mathematics and Engineering Applications Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Jurnal Bakti Masyarakat Indonesia Prosiding Seri Seminar Nasional
Dedi Trisnawarman
Universitas Tarumanagara
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Social Sciences Other

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ANALISIS PEMETAAN CRIME PATTERN MENGGUNAKAN CLUSTERING K-MEANS Helga Eva Julia; Bagus Mulyawan; Dedi Trisnawarman
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 1 (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.v3i1.3270

Abstract

Data mining is one of the way to obtain important information from huge database. People can obtain useful information and decide future actions. Generally, data mining process consist of 6 phase, i.e. business understanding, data understanding, data preparation, modeling, evaluation, and deployment. K-Means clustering was used to divide data into groups for this study. This study aims to define the best K-Means clustering model used for Indonesian criminal database mapping based on number of cluster. Experiment was conducted with various number of records, i.e. 100, 1.000, 20.000, 50.000, 80.000, and 126.000. Experiment was also conducted with both 2 cluster and 3 cluster. Clustering result was compared with clustering result from WEKA machine learning system to determine if K-Means clustering has been done properly. Test result showed that    system K-Means clustering with 2 cluster give better results by 65.33 % accuracy with error rate 34.77, when system K-Means clustering with 3 cluster give results by 53.5% with error rate 46.5%..  Key wordsClustering, Crime Pattern, Data mining, K-Means, Mapping
PERANCANGAN PROGRAM APLIKASI PENJUALAN TAS BERBASIS WEBSITE PADA LUCIANO Arfianto Panitra; Dedi Trisnawarman
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 1 (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 (182.685 KB) | DOI: 10.24912/jiksi.v4i1.139

Abstract

Luciano importir tas adalah perusahaan yang bergerak dalam bidang import dan penjualan tas. Luciano membutuhkan sebuah sistem untuk memasarkan produk secara luas dengan membuat aplikasi sistem informasi berbasis website. Dengan keberadaan aplikasi sistem informasi berbasis website pada Luciano, diharapkan dapat meningkatkan penjualan dan mendatangkan pelanggan baru, serta memudahkan pelanggan untuk mencari informasi seputar produk yang dijual oleh Luciano. Metode yang digunakan untuk rancangan website adalah System Development Life Cycle (SDLC), database yang digunakan adalah XAMPP dan PHP, bahasa pemrograman php, perangkat keras berupa komputer atau laptop untuk menjalankan program aplikasi berbasis website. Hasil uji coba melalui blackbox testing dan kuesioner menyatakan bahwa program sudah berjalan dengan baik dan mudah digunakan.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN SUPPLIER BESI MENGGUNAKAN METODE SAW (SIMPLE ADDITIVE WEIGHTING) Edward Edward; Dedi Trisnawarman; Zyad Rusdi
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 (270.374 KB) | DOI: 10.24912/jiksi.v6i2.2631

Abstract

Sukses Makmur  was established in 2004. t to fulfill the needs meet in the Store, Owner (owner) usually perform manual selection of iron that is by seeing thickness, length, and price by naked eye. This causes the owner to feel difficulty in determining the appropriate supplier with the criteria.This Program use to create a Decision Support System to determine the best iron supplier based on assessment criteria. In the data collection method used is observation and interview, for research method used is SDLC (System Developtment Life Cycle) method, and the method used in writing this thesis is Simple Additive Weighting (SAW) method. SAW method is used for e assessment of iron suppliers. The results obtained are Decision Support Systems that can assist shopkeepers in determining the best supplier ratings.
SISTEM INFORMASI GEOGRAFIS PEMETAAN TEMPAT PEMBUANGAN SEMENTARA Ricki Gozal; Dedi Trisnawarman
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 (524.891 KB) | DOI: 10.24912/jiksi.v8i1.11486

Abstract

Geographic Information System (GIS) is a computer based system used to storing and manipulating geographic information. GIS can also merge data, manage data, and analyze data and produce an output to support a decision making.The purpose of this thesis is to make a GIS application that maps a location of each temporary dumpsite in Jakarta. The development of this GIS is using System Development Life Cycle (SDLC) method includes of Planning, Analyze, Design, and Implementation. This GIS will using ArcGIS program to make a map of the temporary dumpsite's location. The output would be showed with map of temporary dumpsite distribution with ArcGIS, and the output will embedded to a website.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN BIJI KOPI BERKUALITAS MENGGUNAKAN (SIMPLE ADDITIVE WEIGHTING) Kelvin Julian Tannius; Jap Tji Beng; Dedi Trisnawarman
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 2 (2019): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (209.494 KB) | DOI: 10.24912/jiksi.v7i2.7382

Abstract

The purpose of this paper is to develop a Decision Support System for determining quality coffee beans based on existing criteria. The method used is the Simple Additive Weighting (SAW). The results obtained are Decision Support Systems that can be accessed by Admin and Customer to select the desired coffee beans that are run by using XAMPP as Localhost and PHPMyAdmin as a Database. Based on the experiments conducted, it can be concluded that the system created can be run and can help customers in making decisions to determine quality coffee beans
APPLICATION OF OPINION CLASSIFICATION FOR FASTFOOD RESTAURANT POPULARITY USING INSTAGRAM Elvandio Frinandy; Dedi Trisnawarman; Ery Dewayani
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 (402.354 KB) | DOI: 10.24912/jiksi.v8i2.11526

Abstract

The purpose of this study is to identify several opinions regarding Instagram account of fast food restaurant in Indonesia. By using a system that can provide the information about the popularity ranking of fast food restaurants, researcher conduct an analysis using Naïve Bayes Classifier. To identify the popularity ranking, researcher collected restaurants data from Instagram, preprocessing text, using Naïve Bayes classification, and implementing the programing. The design of this system be able to determine the popularity ranking of fast food restaurants using collected data (number of likes and comments on Instagram’s post). All of the predictions obtained exceeds of 90%, indicating a fairly accurate prediction of the popularity ranking, where all results almost touch the maximum score. Data collected from the restaurants’ Instagram account, indicating positive results and ratings, based on number of likes and comments per post. The result of this research shows that, Burger King restaurants are the most popular, second is Kentucky Fried Chicken, third is McDonalds, fourth is Hokben, and fifth are Wingstop..
PENGEMBANGAN CRM TOKO NUC DENGAN BERBASIS WEB Cosmas Damianus Wijaya; Dedi Trisnawarman; Zyad Rusdi
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 (215.721 KB) | DOI: 10.24912/jiksi.v6i2.2625

Abstract

Nuc is a local business that sells mobile phone accessories, mobile phone and car accessories since october 2015. Customer came from around Indonesia, because Nuc is based on online marketplace. Since increasing business turnover and quantity of items, Nuc needs an independent customer relationship management to ensure customer satisfaction.  This application program is a website based. The website contains product information. Customer information, customer complaint information. In collecting data, the author used interview method, While the research method used is the method of SDLC (System Developtment Life Cycle). And in making this application, the author using PHP and MySQL programming language for its database.
PERANCANGAN SISTEM PENUNJANG KEPUTUSAN PENENTU PROGRAM STUDI DI PERGURUAN TINGGI DENGAN METODE KUDER PREFERENCE RECORD Aditya Tanuwijaya; Dedi Trisnawarman; Wasino Wasino
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.007 KB) | DOI: 10.24912/jiksi.v7i1.5771

Abstract

The study program goal for student is to make them can  focus more on developing their abilities and interests that they have, but it is difficult when the student misdirects. The Solution is a Decision Support System using Kuder Preference Record method and Simple Additive Weighting method to find priority for decision making. The result from the test is the decision support system can assist in determining which study programs are of interest to students based on ranking
SISTEM INFORMASI AKADEMIK BERBASIS WEBSITE PADA SMP ST. BELLARMINUS Joseline Joseline; Dedi Trisnawarman
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (732.955 KB) | DOI: 10.24912/jiksi.v7i1.5883

Abstract

Junior high school of Saint Bellarminus is a school that has hundreds of students in it and still uses manual systems in conducting academic data collection. Academic data collection with the number of students that much allows the school to feel difficulties in carrying out their duties. The purpose of this application program is to build a web-based information system at SMP St. Bellarminus. This application uses XAMPP as localhost and PhpMyAdmin as Database Manager. This web application functions to search, input, edit, search student data, grades, schedules, attendance and teachers. Students can see directly the value data, schedule and attendance while the teacher can input values and attendance directly into the system through their respective user logins.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN SUPPLIER PADA PT. AIKOVITO Cynthia Marcelina; Dedi Trisnawarman; Tony Tony
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.v3i2.3304

Abstract

PT. Aikovito adalah salah satu perusahaan kontraktor desain interior yang terletak di perumahan Metro Permata. Saat ini PT. Aikovito memillih supplier  dengan cara manual. Pada proses pemilihan supplier, bagian pembelian seringkali  menggunakan pandangan subjektif dan menimbulkan beberapa masalah. Oleh karena itu,  dibuat sistem khusus yang menunjang pemilihan supplier dengan enam kriteria penunjang yaitu kualitas, harga, pembayaran, reputasi perusahaan,  ketersediaan barang dan pengiriman. Sistem penunjang keputusan pemilihan supplier ini menerapkan metode perhitungan AHP (Analytical Hierarchy Process). Metode perancangan yang digunakan program aplikasi ini adalah metode System Development Life Cycle (SDLC). Bahasa pemograman yang digunakan adalah PHP dan basis data yang digunakan adalah PHP MySQL. Sistem penunjang keputusan ini mengelola dan menampilkan informasi perusahaan supplier.  Dengan dibuatnya program aplikasi penunjang keputusan ini diharapkan dapat mempermudah PT. Aikovito dalam memilih supplier, mencegah terjadinya kekeliruan pemilihan supplier yang dapat mengakibatkan kesia – siaan , serta meningkatkan efisiensi perusahaan dalam pemilihan supplier yang tepat yang akan berdampak pada kelancaran proyek.  Key words      AHP (Analytical Hierarchy Process),  Sistem Penunjang Keputusan, Supplier
Co-Authors Aditya Tanuwijaya Afina Putri Dayanti Alexander Assisi Amalia Nurain Anthony Honggo Arfianto Panitra Arleine Arleine Bagus Mulyawan bagus Mulyawan Bryan Jordan Goh Bryan Riyanto Chairisni Lubis Cosmas Damianus Wijaya Cynthia Marcelina Cynthia Marcelina, Cynthia Cyrillus Damar Setyo Wardhana Dali Santun Naga Desi Arisandi Diana Christian Eddy Sutedjo Eddy Sutedjo, Eddy Edward Edward Elvandio Frinandy Ery Dewayani Ferdinand Hartanto Ferdinand Hartanto Ferryanto Ferryanto Ferryanto Ferryanto Feryan Hadipurwanto Godeliva Vania Ekawardhani Helga Eva Julia Helga Eva Julia, Helga Eva Herison Halim Hizkia Aristyo Christianto Imam, Muhammad Choirul Ivan Filbert Jaceline Chan Janson Hendryli Jap Tji Beng Joseline Joseline Josua Marojahan Joycelin Joycelin Kelvin Julian Tannius Kenny Yan Lely Hiryanto Margaret Livereja Martin Johnsons Muhammad Choirul Imam Ni Putu Diah Ayu Vita Widia Murti Ni Putu Diah Ayu Vita Widia Murti, Ni Putu Diah Ayu Vita Widia Novario Jaya Perdana Oktovianus Irvan Radot Regen, Radot Ricki Gozal Ricky Giovanni Putra Tanjaya Rio Rio Rio Sucitra, Rio Riva Audrey Simon Simon Stefanus Simon, Stefanus Stephen Prihandana, Stephen Stevan Stevan Steven Federico Giovano Tony Tony Tony Tony Tri Sutrisno TRI SUTRISNO TRI SUTRISNO Utari Apriani Veronika Verrent Prischila Victor Femona Laoli Victor Victor Victor Victor Viny Christanti Wasino Wasino Zyad Rusdi Zyad Rusdi Zyad Rusdi