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The Application Of K-Means Algorithm For LQ45 Index on Indonesia Stock Exchange Condrobimo, A. Raharto; Sano, Albert V. Dian; Nindito, Hendro
ComTech: Computer, Mathematics and Engineering Applications Vol 7, No 2 (2016): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v7i2.2256

Abstract

The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.
Rancang Bangun Software Point of Sale (POS) Pada Kafe XYZ Dikota Jambi Fernando, Erick; Condrobimo, A Raharto; Andwiyan, Denny
Jutis (Jurnal Teknik Informatika) Vol 6 No 1 (2018): Jutis (Jurnal Teknik Informatika)
Publisher : Universitas Islam Syekh Yusuf

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/jutis.Vol6.Iss1.43

Abstract

Kafe XYZ yang berada di wilayah kota Jambi merupakan usaha perdagangan yang bergerak dibidang kuliner. Masalah yang terjadi pada kafe ini belum memiliki sebuah sistem yang dapat menanggulangi masalah transaksi. Sistem dijalankan masih secara manual dengan menggunakan buku catatan biasa proses pemesanan makan sampai struk pembayaran masih menggunakan nota manual. Sistem yang dibangun telah mampu memberikan dampak positif dan bermanfaat baik bagi restoran maupun konsumen. Pengembangan POS menggunakan Metodologi pengembangansistem menggunakan model waterfall dan Pengembangan sistem POS menggunakan pemrograman Java dan database MYSQL. Hasil penelitian ini mendapatkan sebuah sistem yang telah dikembangkan dapat melakukan transaksi yang menghasilkan laporan transaksi dan nota pembayaran untuk konsumen dengan demikian sangat menunjang kegiatan dikafe XYZ tersebut.
Analysis of the relationship of the learning video with students 'understanding of learning materials Yulyani Arifin; Diana Syarifah Permai; Dicky Hida Syahchari; Raharto Condrobimo
Social Economics and Ecology International Journal (SEEIJ) Vol. 5 No. 1 (2021): March
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/seeij.v5i1.7369

Abstract

The aim of the study was to examine the relationship between the relationship between instructional videos and students' understanding of the learning material. Researchers create digital learning materials through video material (VBL), especially math in RPTRA. The researchers used correlation analysis to examine the relationship between the learning material in video form and the level of understanding of the students in the material. The method used by the researcher was to experiment with elementary-level children from various primary schools. Then, based on the experimental results, the correlation analysis test was performed to see the relationship between the student's understanding and the learning material through video. From the results of the assessment, it can be seen that the video material can help the understanding of the students and can also increase the motivation of the students in learning mathematics. Therefore, video learning can help students understand mathematics and help teachers teach mathematics in a more interesting way.
The Application Of K-Means Algorithm For LQ45 Index on Indonesia Stock Exchange A. Raharto Condrobimo; Albert V. Dian Sano; Hendro Nindito
ComTech: Computer, Mathematics and Engineering Applications Vol. 7 No. 2 (2016): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v7i2.2256

Abstract

The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.
Design Aplikasi Mobile Sistem Informasi Geografis Panduan Lokasi SPBU Erick Fernando; A. Raharjo Condrobimo
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 3 No. 1 (2019): Volume III - Nomor 1 - September 2019
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.726 KB)

Abstract

Indonesia is the largest archipelago country in the world consisting of 17,499 islands from Sabang to Merauke. With so many areas in Indonesia that has so many areas scattered and, in every place, has a place for Public Fuel Filling Station (SPBU). With the distribution of gas stations based on regions in Indonesia, information is needed on the existence or position or location of gas stations to facilitate vehicle users to find gas stations. The aim of this research is to develop an application for gas station location instructions so that it can provide detailed information on the position and facilities at the gas station. Application development uses the waterfall approach and uses the Android programming language to build mobile applications. Evaluate application testing with the black box approach, that the application can run in accordance with the functions of each menu on the application so that the application can be used by users. This application can facilitate the user (user) in searching for locations from existing gas stations quickly and precisely and can be accessed by anyone, anytime, and anywhere.