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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM
Saut Parsaoran Tamba
Universitas Prima Indonesia
Computer Science & IT

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Pembuatan Cloud Computing sebagai Penyimpanan Alternatif pada Smartphone Saut Parsaoran Tamba; Jepri Banjarnahor; Yonata Laia
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 5, No 1 (2020): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v5i1.2869

Abstract

Saat ini perkembangan teknologi banyak yang mengumbah semua akatifitas yang dilakuka seseorang semua sudah menggunakna komputer dan smartpone. Seperti salah satunya adalah penyimpanan data melalu samrtphone. Tetapi kendalah yang dialami pegguna smartpone adalah penyimpanan data yang tidak mencukupi apalagi file yang berextention jpg, video, Mp3 sangat banyak memakan kapasitas memori. Maka dengan itulah perlu ada sebuah tempat penyimpanan cadangan yang akan di gunakan pengguna smartpone tempat penyimpanannya sudah penuh. Pembuatan cloudcoputing ini berhasil menjadi penyimpandan cadanga bagi pengguna smartpone.
Pemanfaatan Teknologi Berbasis Android Dalam Pencarian Cepat Tempat Wisata Terdekat Pada Kabupaten Karo Jepri Banjarnahor; Saut Parsaoran Tamba; Yonata Laia
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 5, No 1 (2020): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v5i1.2914

Abstract

Pada penelitian ini meciptakan aplikasi pencarian tempat wisata cepat berbasis teknologi, dimana selama ini setiap pengunjung yang baru selalu mengalami kesusalitann untuk mengunjungi setiap tempat wisata yang diinginkan dikarenakan tidak tahu dimana-mana saja tempat objek wisata yang ada pada kabupaten tanah karo. Sesuai dengan urain diatas perlu adanya pengembangan dalam bidang pariwisata. Apliakasi yang akan dirancang berbasis android dan nantinya aplikasi ini akan dapat download pada Handpond masing-masing yang ingin menggunakannya, sehingga setiap wisatawan dapat mengetahui uang yang akan dikeluarkan setelah memilih objek yang akan dikunjungin. Dengan adanya aplikasi ini diharapkan dapat membantu setiap wisatawan dikabupaten tanah karo.
Analysis of Academic Service Satisfaction Levels From the Perspective FTIK UNPRI Students Use the Method Importance Performance Analysis(IPA) Angga Snidres Girsang; Elida Mardiana Manik; Egi Suranta Bangun; Saut Parsaoran Tamba
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.033 KB)

Abstract

In the field of education, the level of comfort is an important service in activities. Especially students who are studying, lectures will be very enjoyable if the services provided are in line with expectations. In the academic section of the Prima Indonesia University campus, there are still many things that are beyond expectations. Especially in the academic service section, the level of student satisfaction has not been taken into account. Because there are still many students who do not feel that they have good facilities. So this study will test the academic services of the Prima Indonesia University campus. Student realities and expectations can be collected with questionnaire data. Students who are respondents will provide results in the form of a dataset that will be processed using the SPSS version 23 data processing application. The results of data testing will be carried out in the Importance Performance Analysis (IPA) method to get better and detailed results. The use of the IPA method will produce a catesian diagram as a result of the test. So that the results of the dataset are obtained to be used as conclusions in this study. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations.
PENERAPAN DATA MINING UNTUK PEMBUATAN PAKET PROMOSI PENJUALAN MENGGUNAKAN KOMBINASI FP-TREE DAN TID-LIST Saut Parsaoran Tamba; Albert William Tan; Yudi Gunawan; Andreas Andreas
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 4 No 2 (2021)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v4i2.309

Abstract

The manual preparation strategy of a promosi package can encounter difficulties in determining the right product to be promosited caused of no sales data analysis and the large size of sales database.The solution to this problem is to apply data mining science to find buying patterns that consumers often make in a collection of sales transactions, so that company can create the right promosi packages to encourage increased sales turnover. The study scanned the sales database obtained from the UCI maching learning repository and intelligent system dataset with 12,224 sales transaction records and 126,898 record of goods sold. Furthermore, the data mining process carries out the process of constructing an FP-Tree tree structure, constructing a conditional FP-Tree and TID List, then extracting a combination of items and calculating support (S), confidence (C) and sorting association rules based on the value of S x C descending, from the highest to the lowest value. The combination of FP-Tree and TID-List algorithms can be used to help formulate promosi package strategies, by analyzing the sales database and finding the most frequently sold combinations of items.
ANALISIS PENERAPAN DATA MINING DALAM PENENTUAN TATA LETAK BARANG MENGGUNAKAN ALGORITMA APRIORI DAN FP-GROWTH Afluqfy Harahap; Ade Luthfi Ramadhan Perangin-Angin; Kisen Kumar; Saut Parsaoran Tamba
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.692

Abstract

Setting the layout of merchandise in each store window greatly affects consumer interest in shopping. To increase self-service sales, a strategy is needed to achieve this, one of which is to systematically arrange the layout of goods on merchandise shelves. The method used for implementing the layout of goods is to compare the performance of the Apriori Algorithm and the FP-Growth Algorithm in the data mining process using the Rapidminer Studio Educational Version 9.10.011 tools to obtain more accurate results. The data sample used is sales data at the Mohare Supermarket, which is tested to understand the association patterns generated by each method. Based on the test results with a minimum support of 20% and a minimum confidence of 70%, the Apriori Algorithm produces 10 rules with a support of 0.32258605 and an accuracy of 12.8%, while the FP-Growth Algorithm produces 78 rules with a support of 2.51612903 with an accuracy of 780%. Thus, the FP-Growth Algorithm can be stated to have a high degree of accuracy in generating association rules when compared to the Apriori Algorithm.
ANALISIS METODE TREND MOMENT DALAM FORECASTING UNTUK MEMPREDIKSI JUMLAH PENJUALAN PADA RESTORAN AYAM GEPREK GOKIL Rizky Prayoga; Anita Anita; Josua Silaban; Saut Parsaoran Tamba
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.892

Abstract

Predictions are things that might be done so that actions taken in the future are more effective and efficient. Predictions in sales are absolutely necessary so that companies / institutions can avoid big losses. Gokil Chicken Resto is a company engaged in the culinary field. Even though it is a Resto brand, it must have a business license in the form of a CV so that it can be said to be a company. The Gokil Chicken Resto has a problem, namely in the loss of procuring raw materials to be produced in a culinary menu called Gokil Geprek Chicken. In a condition, sometimes the procurement of these materials will be left quite a lot or even run out. This causes losses in terms of cost and also consumer disappointment as well. For this reason, research is needed in the form of sales predictions so that it can help minimize losses by procuring materials that are more effective and efficient. This study uses the trend moment method in analyzing sales to produce predictive numbers. The method of precise prediction accuracy uses MAPE (Mean Absolute Percentage Error). The accuracy of the prediction accuracy obtained is 99.36%.
PENERAPAN METODE ANT COLONY OPTIMIZATION (ACO) DALAM MENENTUKAN JALUR ALTERNATIF SOLUSI KEMACETAN KOTA MEDAN William William; Rizky Syahputra Sitompul; Adilman Reliance Hia; Roy F. Hasudungan Malau; Saut Parsaoran Tamba; Mohammad Irfan Fahmi
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1221

Abstract

This research aims to analyze and implement the Ant Colony Optimization (ACO) method in determining alternative routes to reduce traffic congestion in Medan City. Against the background of significant congestion problems during rush hours, this research collects traffic data through surveys and observations to serve as input for the ACO algorithm. This method is inspired by the natural behavior of ants in searching for food, where ants collectively find the shortest route based on pheromone trails. Tests were carried out with variations in ACO parameters such as pheromone evaporation rate, number of ants, and iterations to analyze the effectiveness of alternative paths. The research results show that the application of this method can help reduce the burden on the road network and is proven to be able to reduce travel time by 37.5%, where the time needed from 40 minutes can be reduced to 25 minutes. The results of this research can contribute to the development of an intelligent transportation system that is adaptive to changes in traffic conditions and the needs of road users in the city of Medan.
PENERAPAN METODE REGRESI LINEAR MEMPREDIKSI TINGKAT PENJUALAN SEPEDA MOTOR HONDA PADA PT. PLATINA MULIA ABADI Palma Juanta; Saut Parsaoran Tamba; Windania Purba; Yoel Ferdinand Zai; Steven Steven; Elbert Ghozali
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.941

Abstract

This research aims to obtain predictions of Honda motorbike sales based on Honda motorbike sales data at PT. Platina Mulia Abadi is a company engaged in transportation and automotive services, especially sales of Honda motorbikes. The linear regression method is used to predict the number of sales of Honda motorbikes. The uncertainty in the number of sales of Honda motorbikes to this company has slightly hindered the company's development, because the company cannot take a definite policy regarding the sales that occur. Therefore, this company estimates future sales of Honda motorbikes for this company, so that management can estimate future consumer demand. So that the company is able to serve and provide consumer demand. To carry out estimates, the Multiple Linear Regression method is used. The results of this research obtained an estimated sales of manual motorbikes in 2023 in January of 64,003 or 64 units of Honda motorbikes in the manual category. This means that there is an increase in the number of manual Honda motorbikes by 8 motorbikes, while the results until May 2023 are 72,123 motorbikes. Through the application of this method, the estimated sales of Honda motorbikes in the next 5 months at PT. Eternal Precious Platinum can be done easily and quickly.
Co-Authors Ade Luthfi Ramadhan Perangin-Angin Adilman Reliance Hia Afluqfy Harahap Albert William Tan Andreas Andreas Angga Snidres Girsang Anita Anita Banjarnahor, Jepri Egi Suranta Bangun Elbert Ghozali Elida Mardiana Manik Josua Silaban Kisen Kumar Mohammad Irfan Fahmi Palma Juanta Rizky Prayoga Rizky Syahputra Sitompul Roy F. Hasudungan Malau Steven Steven William William Windania Purba Yoel Ferdinand Zai Yonata Laia Yudi Gunawan