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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
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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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APLIKASI PREDIKSI NILAI DAN REKOMENDASI MATAKULIAH MENGGUNAKAN METODE COLLABORATIVE FILTERING DAN ALGORITMA C4.5 PADA PROGRAM STUDI TEKNIK INFORMATIKA UNIVERSITAS X Filbert; Bagus Mulyawan; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 10 No. 2 (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.v10i2.22548

Abstract

A common problem with lectures and colleges is that students have difficulty choosing a course due to the large number of choices, or the student credits are limited due to poor course results. We hope that by designing this value prediction application and course recommendations, we will help students get the best course recommendations according to their abilities and grades. The program uses the C45 algorithm to display the selection of courses with the lowest score, and the scores generated by collaborative filtering calculations are advanced by determining the value of similarity between students and predicting grades. The system will identify each course with the highest average score / highest pass rate and it will be used as a student course recommendation. Test results show that the accuracy in determining a student's recommended course using the C45 algorithm is 70%, and the calculation error in determining a student's value prediction is 40-56%.
SISTEM PENDUKUNG KEPUTUSAN DALAM KELAYAKAN PENGAJUAN KREDIT KENDARAAN BERMOTOR DI PERUSAHAAN X MENGGUNAKAN METODE NAÏVE BAYES Ricky Hansen Kurnia; Desi Arisandi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 10 No. 2 (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.v10i2.22636

Abstract

The purpose of this research is to analyze and design a program that can assist decision making in the process of accepting a motor vehicle loan application in accordance with the given criteria so as to produce a prediction of the value of opportunities in the feasibility of granting motor vehicle loans and minimize human errors that occur in the process Credit Application data analysis. The method used in this research is one of the classification methods, is the Naive Bayes algorithm menthod. The results of the research that has been carried out are applications that are designed to calculate the probability value of the data criteria that have been entered, so that a decision suggestion can be obtained whether the data can be accepted or rejected, from research conducted the more training data provided, the more accurate the value will be. generated probabilities, and the designed application is executed through the Microsoft SQL Server Management Studio (SSMS). From the results of the experiments that have been carried out, it can be seen that the program can provide probability values ​​according to the Naive Bayes method according to the criteria data provided.
Sistem Pendukung Keputusan Pemberian Bonus Kepada Karyawan Berbasis Web Jolie Felicia; Hugeng; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): 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.v11i1.24102

Abstract

Employees are a company resource to produce services or goods to meet consumer needs. To improve the performance of company resources, companies need to meet the needs of employees and give appreciation to employees who have good performance, one of which is giving bonuses. PT Fiture Teknologi Inovasi is a company engaged in the field of IT solutions. Determining bonuses still uses manual methods and there is no media or tools that can process employee ratings who deserve bonuses. Based on the problems above, the authors made a decision to support a web-based bonus system using the weighted product and weighted sum methods. The result of this system is one employee who has the highest vector v value of the two methods. From the results of the calculation of the data, then the percentage of the method's suitability with the data is calculated.
DASHBOARD TINGKAT KEPUASAN DAN PENJUALAN CV. PLUS LESTARI RAYKAT Johan Tjung; Hugeng; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): 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.v11i1.24135

Abstract

Dashboard is a tool used to serve information in a visual or graphical indicator model that summarizes information to make it easier to understand. The purpose of this thesis is to create a dashboard application that can be used to measure the level of satisfaction and sales performance on CV. Plus Lestari Rakyat. The method used is Extract, Transform, Load (ETL) and Prototyping namely by listening to all kinds of input provided by users. The ETL method imports data into SQL SERVER and then converts it into master data which is easier to process into fact table data and is ready to become a master database. The result of making this dashboard is to assist users in analyzing and monitoring the level of satisfaction and sales at the company.
PERANCANGAN DASHBOARD UNTUK PEMANTAUAN TERHADAP KEBUTUHAN PEMBELIAN MATERIAL PADA PT XYZ MENGGUNAKAN METODE OLAP Glenvin Kiamidi; Wasino; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): 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.v11i1.24143

Abstract

This XYZ company is engaged in Agribusiness. In the process of coconut processing palm oil needs the help of materials such as iron, steel, and so on. The data to be processed from this company is material purchasing data. Of course, processing this data requires an application from the business intelligence or commonly abbreviated as Business Intelligence or BI. Deployed BI application is a dashboard to display the amount of material purchases along with targets, Order Unit, Category, Location, and Date. The process is created with perform ETL processing on OLTP, and OLAP data. Then will make dashboard using Power BI which is then uploaded to the website so that it can be accessed by users online. In this research method using the OLAP method. This OLAP method aims to analyze deeper data regarding the year, month, and date. Analyze in more detail using drilldown. The drilldown is used in order to be able to analyze in detail the amount of material purchase requirements which will be analyzed in more depth regarding the achievement of material purchasing needs. The final result of this research is a dashboard. This can be used as a reference by the user for material monitoring and analysis
KLASTERISASI SENTIMEN ULASAN PENGGUNA APLIKASI BCA MOBILE PADA PLATFORM GOOGLE PLAY STORE DENGAN ALGORITMA K-MEANS CLUSTERING Gilbert Sanko Sunarko; Wasino; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): 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.v11i1.24145

Abstract

Financial banking app is increasingly becomes part of daily lifestyle. From survey conducted by Top Brand Index showed one of the most popular banking app is BCA Mobile. This study was conducted to analyze BCA Mobile app user feedback from App reviews in google play store platform. The data is collected using scrapping method with google-play-scrapper library in python. Using K-Means Clustering algorithm to analyze 662 reviews in 26 December 2022 until 30 December 2022 time period. The clustering process is supported by Term Frequency-Inverse Document Frequency weighting method to help calculate the importance of a word in a set of document. This clustering process produces ten cluster, with silhouette score of 0.1027277 and average star rating of 2.65.
VISUALISASI DAN PREDIKSI KEDATANGAN PENUMPANG NGURAH RAI MENGGUNAKAN METODE HOLT-WINTERS Diaz Ridzky Anandianto; Wasino; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): 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.v11i1.24148

Abstract

I Gusti Ngurah Rai International Airport is one of the airports in Indonesia which is located in Bali which has a large number of passenger arrivals because Bali has many interesting tourist attractions to visit. I Gusti Ngurah Rai international airport data certainly has a large size so that Business Intelligence (BI) technology is needed, namely a dashboard to process this data and gain insight. Forecasting the number of passenger arrivals is also carried out in order to be able to analyze what the number of passenger arrivals would be like in the future. Therefore, in this case the dashboard was made using the prototyping method and data mining with forecasting or forecasting using the Holt-Winters triple exponential smoothing method. The smoothing parameters used are alpha = 0.3, beta = 0.01, and gamma = 0.01 with the MAPE result of 32.04%. With the visualization on the dashboard, it is hoped that it will make it easier for the company that manage the airport to monitor the number of passenger arrivals at I Gusti Ngurah Rai International Airport so that they are able to make decisions in managing the airport.
SISTEM INFORMASI UNIT KEGIATAN MAHASISWA (UKM) UNIVERSITAS TARUMANAGARA BERBASIS WEB Adinda Putri; Desy Arisandi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): 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.v11i1.24154

Abstract

The Information System of activity unit or UKM at Tarumanagara University on the Web-Based is an application designed to make easier for student to get all information about UKM so that more people are know and register their self to UKM’s new members and also help UKM to disseminate information and introduce their activities to all students at Untar. The Website uses the Waterfall System Development Life Cycle (SDLC) development methodology. The database used in this application is MySQL. The programming languages used are HTML, PHP and Boostrap Framework. The results of user testing of the application show that the application can be understood and can be used easily
Perancangan Panel Distribusi Daya Listrik (SDP) Untuk Gedung Kampus Universitas Sutomo Tri Sutrisno; Seflahir Dinata; Woro Agus Nurtiyanto
EPIC Journal of Electrical Power Instrumentation and Control Vol 5, No 2 (2022): EPIC
Publisher : Universitas Pamulang, Prodi teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/epic.v5i2.27538

Abstract

Perancangan panel distribusi daya ini dibuat untuk mensuplai komponen kelistrikan pada gedung kampus Universitas Sutomo Serang Banten. Rancangan ini akan membahas tentang instalasi listrik beban, penentuan jumlah titik lampu, perhitungan beban total, menentukan ratting pengaman dan perhitungan kuat hantar arus pada kabel. Perhitungan yang dilakukan akan berdasarkan pada standar-standar Peraturan Umum Instalasi Listrik (PUIL) tahun 2011. Berdasarkan hasil analisa dan perhitungan, maka didapat jumlah titik lampu berdasarkan illuminasi (Lux) standar pada setiap ruangan kelas, jumlah beban total keseluruhan adalah 59.446 Watt, ratting arus pengaman utama menggunakan MCCB 125 A dan pemilihan ukuran kabel NYM 3x1,5 mm² dan 3x2,5 mm² sesuai dengan arus nominal yang mengalir serta perancangan tata letak kompenen pada panel. Hasil rancangan panel ini akan mensuplai daya sebesar 59.446 Watt untuk saat ini pada bulan Juli 2022 dan dapat bertambah dimasa yang akan datang.
KLASIFIKASI HASIL BELAJAR SISWA MENGGUNAKAN METODE C4.5 BERDASARKAN RIWAYAT AKADEMIK DI SMP XYZ Bryan Daniel Pinenda Pasaribu; Tri Sutrisno; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): 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.v11i2.26004

Abstract

This research was conducted to classify student learning outcomes at XYZ Middle School based on academic history during learning and student learning interests. This study aims to provide information to students and teaching staff regarding student learning outcomes. With the available information, it is hoped that teaching staff can develop methods for conveying material in order to obtain better results. The method used in solving this problem is the C.45 algorithm method. Starting from collecting data consisting of assignment scores, daily tests, UTS, and UAS. Then the formation of a decision system as initial data that has condition and decision attribute values. Then calculate the entropy value of each attribute. Calculating the highest gain value which will then be used as a node. Then, determine the decision from the results of the decision tree process by starting from the highest root to the lowest root to determine the decision criteria.
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