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All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Indonesian Journal of Electrical Engineering and Computer Science JURNAL ILMIAH SIMANTEK Idealis : Indonesia Journal Information System
SIAGIAN, WESLY MAILANDER
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health

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AN EMPIRICAL STUDY BUILD STOCK PORTFOLIO BY BUILDING CONSTRUCTION WITH CRUDE PETROLEUM AND NATURAL GAS SECTOR WESLY MAILANDER SIAGIAN
JURNAL ILMIAH SIMANTEK Vol 5 No 4 (2021): JURNAL ILMIAH SIMANTEK
Publisher : LP2MTBM MAKARIOZ

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper aims to analyze the moving price in sub-sector building construction with crude petroleum and natural gas,selected the stock to build a portfolio with diversification method uses empirical data in both sub-sector. There are threemethodology using in this research: First, the author uses technical method and fundamental to analyse the stockperformance in sub-sector building construction with crude petroleum and natural gas. The technical analysis explained witha chart, while fundamental analysis with a company financial statements. Second, to build the actual portfolio, author usesdiversification method. Furthermore, author evaluating the return of a portfolio relative with Sharpe ratio, Treynor ratio andJensen’s alpha. Third, the portfolio combined by diversification method compared as different as the portfolio that using theconversion method and selected random or index market condition. Three primary results are drawn from this research thefollowing: First, the information moving price represent return rate sub-sector building construction higher than crudepetroleum and natural gas. The stock in sub-sector building construction is grow up in period 2014 to 2016, while anothersub-sector are grow down. Second, the diversification method will be obtain return rate higher. Last, return actual portfoliowhich is obtained with diversification method higher rather that conversion method, as well as to index market. This paper isthe examine how the portfolio in combined form the historical report previous period to result maximum return. In theaddition, the level risk of portfolio can be reference to the investor to build a portfolio that they wanted. This paper uses theempirical data in previous period to present a rational explanation estimated how much value of return to be obtained infuture time.
IMPLEMENTATION OF BRUTE-FORCE ALGORITHM AND BACKTRACKING ALGORITHM FOR FIREFIGHTING ROBOT SIMULATION Tegar Arifin Prasetyo; Rudy Chandra; Wesly Mailander Siagian; Tahan HJ Sihombing; Sarbaini Sarbaini
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 10, No 1 (2023)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v10i1.456

Abstract

In general, a robot is defined as a mechanical device used by humans to ease human work. Robots are usually used for difficult and dangerous tasks. One example of its use is a firefighting robot that replaces human tasks in extinguishing fires. The firefighting robot is on duty to find fire spots in a city then extinguishing them. To be able to put out a fire, the robot must implement an efficient program in finding and determining the shortest path to the location of the fire and then put it out. For this reason, the robot is equipped with proximity and fire sensors to detect the presence of fire. The design is made with a three-step program that is designing needs of robot control, robot control mechanism scheme preparation and implementing an algorithm for making program syntax. The Brute-Force Algorithm can be implemented to indicate the presence of a hotspot signal and the backtracking Algorithm is implemented to find the shortest path to the hotspot location. This paper discusses the use of a brute-force algorithm and a backtracking algorithm in a firefighting robot program to make the fire search process more efficient. The results show that from 8 input fire points, the firefighting robot is able to find all the points within 3.12 seconds with 13 times trial. In its application, the writer used Visual Basic 6.0 in the firefighting robot program.Keywords: Firefighting Robot, Brute-Force Algorithm, and Backtracking Algorithm.Secara umum robot didefinisikan sebagai suatu alat mekanik yang digunakan oleh manusia untuk mempermudah pekerjaan manusia. Robot biasanya digunakan untuk tugas-tugas yang sulit dan berbahaya. Salah satu contoh penggunaannya adalah robot pemadam kebakaran yang menggantikan tugas manusia dalam memadamkan api. Robot pemadam kebakaran bertugas untuk menemukan titik api di suatu kota kemudian memadamkannya. Untuk dapat memadamkan api, robot harus menerapkan program yang efisien dalam mencari dan menentukan jalur terpendek menuju lokasi kebakaran kemudian memadamkannya. Untuk itu, robot dilengkapi dengan proximity dan fire sensor untuk mendeteksi adanya api. Perancangan dibuat dengan tiga langkah program yaitu perancangan kebutuhan pengendalian robot, penyusunan skema mekanisme kendali robot dan implementasi algoritma untuk pembuatan sintaks program. Algoritma Brute-Force dapat diimplementasikan untuk menunjukkan adanya sinyal hotspot dan Algoritma backtracking diimplementasikan untuk mencari jalur terpendek ke lokasi hotspot. Penelitian ini membahas tentang penggunaan algoritma brute force dan algoritma backtracking pada simulasi program robot pemadam kebakaran agar proses pencarian kebakaran menjadi lebih efisien. Hasil penelitian menunjukkan bahwa dari 8 input titik api, robot pemadam kebakaran mampu menemukan semua titik dalam waktu 3,12 detik dengan 13 percobaan. Dalam penerapannya penulis menggunakan Visual Basic 6.0 pada program robot pemadam kebakaran. Kata kunci: Robot Pemadam Kebakaran, Algoritma Brute-Force, dan Backtracking.
Sales forecasting of marketing using adaptive response rate single exponential smoothing algorithm Tegar Arifin Prasetyo; Evan Richardo Sianipar; Poibe Leny Naomi; Ester Saulina Hutabarat; Rudy Chandra; Wesly Mailander Siagian; Goklas Henry Agus Panjaitan
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 1: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i1.pp423-432

Abstract

Micro, small and medium enterprises (UMKM) is one of the important aspects to support the improvement of the economy in Indonesia. Zee Mart’s business is one of the UMKM shop in Pematang Siantar City with sales and purchase transaction activities for supplies. The purpose of this study is to predict the sales of Zee Mart store goods in the coming month using the adaptive response rate single exponential smoothing (ARRSES) method. ARRSES is a method with the advantage of having two parameters, alpha and beta, where alpha will change every period when the data pattern changes. The dataset obtained will be pre-processed through data selection, cleaning, and transformation. The best beta is determined based on the level of accuracy calculated using the mean absolute percentage error (MAPE). Model development using the ARRSES method will produce forecasting percentages and errors for each product using MAPE. The number of sales data is 23,092 before preprocessing and 23,021 after pre-processing, with the total quantity of goods sold being 149,764 of 1,492 products. The results obtained using sales data 23,021 show the lowest MAPE value of 9.85 at the best beta of 0.6 with the highest accuracy of 90.15% and the model is implemented into a web interface.
PENGEMBANGAN WEBSITE KALKULATOR KEUANGAN PADA UMKM UD. TAMPOK-TAMPOK Anita Febriany Lumban Gaol; Wesly Mailander Siagian
IDEALIS : InDonEsiA journaL Information System Vol 6 No 2 (2023): Jurnal IDEALIS Juli 2023
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v6i2.3021

Abstract

Minimnya kemampuan UMKM dalam melakukan pencatatan keuangan dan membuat laporan keuangan telah menjadi masalah pelik bagi pengusaha UMKM. Laporan keuangan berfungsi sebagai alat yang digunakan untuk menganalisis kinerja keuangan untuk memberikan informasi tentang posisi keuangan dan arus kas untuk suatu periode tertentu. Permasalahan ini juga dirasakan oleh UMKM UD Tampok-Tampok. Hal ini tentu mempengaruhi kelangsungan usaha di masa yang akan datang, karena pemilik usaha tidak dapat mengetahui secara pasti berapa keuntungan yang diperolehnya dalam jangka waktu tertentu dari usaha yang dikelolanya, sehingga rencana usaha ke depan tidak dapat dibuat dengan pasti. Oleh sebab itu, untuk menyelesaikan masalah ini maka peneliti bertujuan memberikan solusi bagi permasalahan UD Tampok-Tampok dengan membuat kalkulator keuangan berbasis web dengan menggunakan bahasa pemrograman PHP dan database MySQL. Metode yang digunakan dalam pengembangan web kalkulator keuanganini adalah dengan menggunakan metode Scrum. Dengan dibuatnya sistem ini, maka membantu UD Tampok-Tampok dalam mencatat dan membuat laporan keuangan untuk menunjang kebutuhan bisnis guna mengembangkan bisnisnya serta meningkatkan efektivitas dan efisiensi kerja dan juga biaya
Co-Authors Anita Febriany Lumban Gaol Ester Saulina Hutabarat Evan Richardo Sianipar Goklas Henry Agus Panjaitan Poibe Leny Naomi Prasetyo, Tegar Arifin Rudy Chandra Sarbaini Sarbaini Tahan HJ Sihombing