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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Terampil : Jurnal Pendidikan dan Pembelajaran Dasar Computatio : Journal of Computer Science and Information Systems Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Sisfokom (Sistem Informasi dan Komputer) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Informatika Kaputama (JIK) EPIC : Journal of Electrical Power, Instrumentation and Control ENTITA: Jurnal Pendidikan Ilmu Pengetahuan Sosial dan Ilmu-Ilmu Sosial Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Civics Education And Social Science Journal (CESSJ) jurnal dikdas bantara Jurnal Info Sains : Informatika dan Sains Jurnal Lex Suprema Jurnal Riset Manajemen Komunikasi JURNAL TEKNIK INDUSTRI Sewagati: Jurnal Pengabdian Masyarakat Indonesia Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Ekonomi Manajemen Dan Bisnis (JEMB) Dinamika Rekasatwa: Jurnal Ilmiah (e-Journal) Jurnal Pustaka Cendekia Pendidikan Upadhyaya : Jurnal Pendidikan

TRI SUTRISNO

Unknown Affiliation

Author-ID : 204257

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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SISTEM PENUNJANG KEPUTUSAN PEMILIHAN KARYAWAN DENGAN MENGGUNAKAN ANALYTICAL HIERARCHY PROCESS Stevan Stevan; Dedi Trisnawarman; 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

Decision support systems are made to facilitate users in determining a decision that will be made with the help of a system. The purpose of this study is to facilitate Porence owner in selecting prospective teachers who want to apply as a teacher at Porence. Porence is a course institution engaged in English education. Data collection for this system is collected by using interviews with Porence owner. This system uses the Analytical Hierarchy Process method to determine the decisions made. This system is implemented in the form of a website so as to facilitate program accessibility by using a common browser such as Google Chrome and Mozilla Firefox. The results of the Analytical Hierarchy Process-based Decision Support system are displayed directly to the Porence owner after the data entered has met the standard method used. The results of the decision support system can be used to provide recommendations to applicants who can be accepted and who will be considered.

PERANCANGAN APLIKASI PENENTUAN TINGKAT KEMIRIPAN DOKUMEN TEKS MENGGUNAKAN METODE INTELLIGENT K-MEANS Fika Alfiani; Lely Hiryanto; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 1 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Kesamaan antar dokumen bukan merupakan fenomena baru dalam dunia pendidikan. Sebelum hadirnya teknologi informasi, fenomena plagiat juga telah ada. Namun, hadirnya teknologi informasi secara nyata lebih mempermudah orang untuk melakukan plagiat. Plagiarisme umumnya mengacu pada penggunaan informasi, teks, gagasan yang tidak sah, tanpa referensi tang tepat terhadap sumber asli dari data asal. Intelligent K-Means merupakan salah satu metode pengelompokan data dimana jumlah klaster yang dihasilkan secara dinamis, sehingga dapat mempersempit variasi antar data yang dideteksi. Diawali dengan proses preprocessing kemudian pembobotan term atau setiap kata dengan metode tf-idf sehingga dapat mewakili dokumen yang diuji dalam perhitungan menggunakan metode Intelligent K-Means. Hasil pengujian terhadap dokumen yang sudah direkayasa dan dokumen asli skripsi mahasiswa Fakultas Teknologi Informasi Universitas Tarumanagara menunjukan bahwa metode dapat mengelompokan dokumen dengan jumlah kelompok/klaster sebanyak 3 klaster

REKOMENDASI PEMINATAN STUDI MENGGUNAKAN METODE K-NEAREST NEIGHBOR DAN FUZZY C-MEANS Taysa Natalia; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Information Technology Advancements has become inseparable things to human’s life in this modern era, technological advancement has already give positive progress and additional value in educational segment in Indonesia.Technology have role to help undergraduate and college student choose specialization in their field of study respectively, which utilize K-Nearest Neighbor and Fuzzy C-Means Clustering calculation method.Clustering consist of 5 distinct specialization which are DA, IS, R, GD, ACS. Data used in evaluation process are 97 Undergraduate Student with 34 Subject which already decided and 25 Student’s Data to be testing subject.

PEMBUATAN APLIKASI E-COMMERCE BERBASIS WEB DENGAN FITUR REKOMENDASI MENGGUNAKAN METODE CONTENT-BASED FILTERING Daniel Daniel; Bagus Mulyawan; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): 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.v10i1.17837

Karena semakin banyaknya informasi produk yang ada pada internet, maka mengakibatkan beberapa kesulitan terhadap user. Salah satu kesulitan user adalah pencarian informasi yang diinginkan oleh user. Walaupun dengan search engine (mesin pencari) user dapat dengan mudah mencari produk yang diinginkannya, tetapi masalah baru akan muncul disaat user tidak mengetahui nama atau kata kunci yang dibutuhkan untuk mencari suatu produk. Oleh karena itulah sistem rekomendasi (recommender system) dikembangkan.Skripsi ini merupakan skripsi yang berfokus kepada sistem rekomendasinya. E-commerce disini hanya sebagai tempat pengimplementasian. Tujuan dari skripsi ini adalah untuk membantu para user yang kebingungan untuk mencari game yang ingin dimainkan tetapi tidak mengetahui judul ataupun kata kunci dari game tersebut.Metode yang digunakan pada skripsi ini adalah content-based filtering¬. Metode ini menggunakan konten seperti judul, deskripsi atau genre sebagai data awal untuk melakukan rekomendasi. Pada skripsi ini, genre game digunakan sebagai konten untuk menjalankan metode content-based filtering. Jadi, rekomendasi yang ada pada skripsi ini berdasarkan dari kemiripan genre game. Dari metode ini dibentuklah sistem rekomendasi yang diimplementasikan ke dalam e-commerce game sebagai salah satu fitur yang ada.Hasil dari rekomendasi ada pada website e-commerce game dalam halaman recommendation. Pada halaman recommendation berisikan game-game hasil rekomendasi dari game pilihan user pada saat registrasi dan game pada library user.

APLIKASI PENJADWALAN DAN ESTIMASI PRODUKSI PADA PT. INDOMETIC Stella Ester Rantung; Tri Sutrisno; Dyah Erny Herwindiati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

PT. Indometic is a company that producing stainlees steel product which is they need to use a lot of machine for producing their product. Campbell Dudek Smith is one of schedule method that will help this company to determine the optimum job sequences that can minimize makespan. Recently, this company faces some problem such as production lateness because they don’t have any scheduling system and they don’t have any forecast system for their product selling. Time Series method is a series of data that have some forecast method that can help this company to know how many product can be selling for the future time. The result from forecast method will be processed with Economic Order Quantity to find how many material that company needs to producing their product. Some products from PT. Indometic that will going to get scheduling and forecasting are deep fryer, bread mixer and hotsnack. For scheduling the optimum sequence are hotsnack, bread mixer and deep fryer. And then for forecasting deep fryer product is 14 pieces, hotsnack 9 pieces and bread mixer is 1 piece

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LAPTOP DAN KOMPUTER BERBASIS WEBSITE MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS DAN WEIGHTED PRODUCT Renaldy Cahya; Bagus Mulyawan; 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

The development of science and technology is now increasingly advanced and increasing rapidly, the use of laptops in the present times that are needed for everyday needs. Many choices of laptops and computers available on the market make people difficult to make choices. People usually only consider prices without regard to specifications. Analytical Hierarchy Process method is one method to help the calculation of selection criteria and Weighted Product methods to facilitate the community in choosing laptops and computers by ranking. The way it works is that the user chooses the 5 criteria provided, namely price, processor, ram, hdd, vga after choosing according to needs, the 10 best laptop ranking will appear based on the user's selection.

SISTEM PENDUKUNG PERJALANAN WISATA DI KABUPATEN BANGKA BERBASIS ANDROID DENGAN ALGORITMA DIJKSTRA Joshua Saputra; Bagus Mulyawan; Tri Sutrisno
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 | DOI: 10.24912/jiksi.v6i2.2639

Application has been made as a system that help tourists who would plan their trip at Bangka Regency based on a shortest path. Furthermore, there also has a rent car feature with per day fare. Renter will be able to promote their cars for rent in the application so that the user can see all cars that have been rented by the renter. For the trip plan feature, system is using Dijkstra’s algorithm as a Support System to decide which path is the shortest one. The first current position and destination of tour places is determined by user. After choosing destination places, Dijkstra’s algorithm will find the shortest path gradually from each tour places that have been chosen by the user. And then the results are the minimum distances from each tour places. Most data of the locations in application are obtained using Google Maps API. However, some other data is saved in Server MySQL

PEMBUATAN DASHBOARD PENJUALAN DAN PEMBELIAN HEVINDO SPORT Hizkia Aristyo Christianto; Dedi Trisnawarman; 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 | DOI: 10.24912/jiksi.v8i1.11471

Dashboards are used to present quality information on sales and purchases made available to managers or owners of a business. The purpose of this thesis is to assist shop owners in knowing the state of the sale and purchase of Hevindo Sport. Hevindo Sport is a shopping center engaged in sports, especially badminton. Dashboard uses the data warehouse Extract, Transform, and Load (ETL) method for the importing process. Importing ETL with the process of making dimension tables and fact tables. The dimensions of the table consist of the importing master table in SQL Server 2018. The fact table will be created after all dimension tables are finished and then create a dashboard. The results will be displayed in graphical form with the Tableau tools. The results of the dashboard are used to make decisions on the sale of goods reached in the safe zone and monitor the entry and exit of existing goods.

REKOMENDASI LOKASI WISATA KULINER DI JAKARTA MENGGUNAKAN METODE K-MEANS CLUSTERING DAN SIMPLE ADDITIVE WEIGHTING Angga Saputra; Bagus Mulyawan; Tri Sutrisno
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 | DOI: 10.24912/jiksi.v7i1.5773

Jakarta as the center of the capital city of Indonesia which has culinary attractions that are of interest to visitors from international restaurants to the best traditional Indonesian restaurants. Both are presented with the feel of an elegant colonial building up to a modern nuanced room.Therefore, the K-Means clustering method and Simple Additive Weighting (SAW) are combined to select and classify the data needed in the ranking list of culinary tourism locations in Jakarta that are in accordance with the user's wishes or according to the user's initial location. K-Means Clustering is a method that groups data according to each cluster.Simple Additive Weighting (SAW) is the method used for the ranking process with use preference values. In this study, the K-Means Clustering method will divide the location travel according to distance calculated from the user's initial position to the address of the tourist location, then the SAW method willsort which location best suits the user's wishes. The test results show that the K-Means Clustering and Simple Additive Weighting (SAW) method can buy recommendations on culinary tourism locations with the best ranking from each cluster based on the weight of each criterion and the maximum radius input by the user

SISTEM REKOMENDASI TRAVEL UMRAH DI JAKARTA BERBASIS WEB DENGAN METODE ANALYTICAL HIERARCHY PROCESS DAN SIMPLE ADDITIVE WEIGHTING Diri Anindyah Qonitah Dwi Putri; Bagus Mulyawan; Tri Sutrisno
Computatio : Journal of Computer Science and Information Systems Vol 3, No 2 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

The umrah travel recommendation system is an application made using the Analytical Hierarchy Process (AHP) method and the Simple Additive Weighting (SAW) method. This application will provide recommendations for Umrah travel, first with the AHP method. The AHP method performs pairwise comparisons using the paired comparison scale determined by Saaty, which will then produce priority weight per criterion to be used in the process of calculating preference values in the SAW method ranking, the results of priority weights obtained are price, downpayment, distance, facilities, the number of pilgrims and travel packages is 0.304, 0.304, 0.202, 0.087, 0.072, 0.032. In the SAW method was chosen in determining the ranking of Umrah travel data with predetermined criteria. Tests were carried out using 50 Umrah travel data in Jakarta obtained online. The results can be concluded that Al-Razafa is the first choice with SAW 0.931. Sistem rekomendasi perjalanan umrah adalah aplikasi yang dibangun dengan metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW). Aplikasi ini mula-mula menyediakan rekomendasi perjalanan umrah dengan metode AHP. Metode AHP melakukan perbandingan berpasangan dengan menggunakan skala yang ditentukan oleh Saaty yang kemudian menghasilkan bobot prioritas untuk setiap criterion untuk digunakan pada proses perhitungan preference value pada metode SAW. Hasil dari bobot prioritas yang didapatkan adalah harga, uang muka (down-payment), jarak, fasilitas, jumlah paket perjalanan dan haji dengan nilai 0.304, 0.304, 0.202, 0.087, 0.072, dan 0.032. Metode SAW dipilih dalam penentuan pemeringkatan data perjalanan umrah dengan kriteria yang telah ditentukan. Pengujian dilakukan dengan menggunakan data 50 perjalanan umrah di Jakarta yang didapatkan secara online. Hasil yang didapatkan menyimpulkan bahwa Al-Razafa merupakan pilihan terbaik dengan bobot SAW 0.931.

Co-Authors AA Sudharmawan, AA Adinda Putri Aji Widya Putra Aminuyati Anak Agung Gede Sugianthara Andre Blenski Angga Aji Prasetyo Angga Saputra Anjas Asmara Subekti Ari Setiawan Susanto bagus Mulyawan Bambang Sutikno Baqiatush Shalihat Benny Wijaya Brian Kurniawan Widianto Bryan Daniel Pinenda Pasaribu Calvin Catur Putri Khairun Nisa Chairisni Lubis Dadang Purnama Daniel Daniel Dedi Trisnawarman Deistata Majiore Delvin Delvin Desi Arisandi Desy Arisandi Deza Farras Tsany Diaz Ridzky Anandianto Diri Anindyah Qonita Dwi Putri Diri Anindyah Qonitah Dwi Putri Dyah Erny Herwindiati Edwin Leonardo Eko Prasodjo Eko Wijaya Eni Erwantiningsih Eny Rochaida Ery Dewayani Farhan Abad Fika Alfiani Filbert Gabriel Carvenita Triasis George Timotius Harefa Gerry Geraldicky Gilbert Sanko Sunarko Glenvin Kiamidi Gusti Noorlitaria Achmad Hizkia Aristyo Christianto Hugeng I Dewa Ketut Satria Wahyu Perdana Indra Suyoto Kurniawan Irvan Lewenusa Isaias F.X.F.A. Felnditi Ivan Andrew Yoshua Januar Mansur Jeanny Pragantha Jeffrey Alexander Jessen Yaputra Setiawan Johan Tjung Jolie Felicia Jonathan Adelwin Jonathan Adrian Wibowo Joshua Saputra Joya Nur Rustiyana Judah Suryaputra Julio Yan Augusto Kelvin Kelvin Kelvin Khaleed Alhamzi Koko Prasetyo Kristopher Halim Lely Hiryanto Leonardo Josua Louis Fernando Winata M. Yoga Agustiranda Malahayati Malahayati Marsia Marsia Muhammad Farras Oktavia Nila Permata Para Mitta Purbosari Prabu Alif Anggadiputra Rabiatul Adawiyah Rayvaldi Harvian Renaldy Cahya Reyhan Rezqi Malia Rezza Adiluhung Prasetya Ricky Hansen Kurnia Rifki Ananta Pratama Ronald Lie Safrika Safrika Salma Auliannisa Seflahir Dinata Stefan Senabudy Stefanny Claudia Stella Ester Rantung Stevan Stevan Steven Steven Sumana, Axcel Lorensius Sumartono Sumartono Taria Adila Taysa Natalia Tony Tony Viny Christanti M Wasino Widi Santoso Willy Willy Witdiawati Woro Agus Nurtiyanto Yohanes Leonardus Dwi Pradipta Yonico Ariando Pratama Yosua Pandapotan Sianipar

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