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All Journal Riau Journal of Computer Science JURNAL TEKNOLOGI DAN OPEN SOURCE JOURNAL OF SCIENCE AND SOCIAL RESEARCH Diklat Review : Jurnal manajemen pendidikan dan pelatihan Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Restikom : Riset Teknik Informatika dan Komputer Edu Cendikia: Jurnal Ilmiah Kependidikan Jurnal IPTEK Bagi Masyarakat Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Sistem Pendukung Keputusan dengan Aplikasi Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Innovative: Journal Of Social Science Research SATIN - Sains dan Teknologi Informasi The Indonesian Journal of Computer Science JSTI - Jurnal Sains dan Teknologi Informatika Mandala Bakti Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer
Pohan, Nurmaliana
Universitas Putra Indonesia YPTK
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Journal : JURNAL TEKNOLOGI DAN OPEN SOURCE

 1 
Implementation Of Teak Furniture Sales Information System In Mass Furniture Shop Zulfitri Yani; Nurmaliana Pohan; Juna Eska
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 5 No 2 (2022): Jurnal Teknologi dan Open Source, December 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i2.2692

Abstract

The rapid development and growth of information technology has a positive impact on agencies engaged in industry, sales, and services. Currently, sales are no longer carried out by sellers and buyers who meet face-to-face at the point of sale. Sales can already be done without having to go to the point of sale, and the seller and the buyer do not have to meet in person. Sales systems such as utilizing internet services for buying and selling online This research was conducted at the Mass Furniture Store using a field research methodology and library research. The Mass Furniture Shop is a shop that sells teak furniture. In selling furniture, it turns out that the shop has problems providing information to the public about the activities that exist in the store. Data processing is still done manually, or, in other words, there is no special program designed to process sales data, so the preparation of sales reports often experiences delays. The Mass Furniture Store's website design for socialization media, ordering media, and online sales media is built with the PHP programming language and MySQL database, and it is expected to optimize product sales, facilitate sales transactions, and make data processing faster, more precise, and more efficient. With the design of the website as a medium for socializing, selling, and ordering goods online, it can provide convenience for users, both the general public and customers, to get to know the Mass Furniture Store more easily, closely, and without being limited by space or time.
Inventory System Design Using Weight Average Cost (WAC) and Graphic Methods Nurmaliana Pohan; Zulfitri Yani
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.3093

Abstract

Companies or business units are currently utilizing the role of the internet for company activities. Applications to support company activities that have been made have started to be web-based, both related to administration, finance, marketing and management of goods or inventory so that information can be obtained more quickly and easily accessed. wherever and whenever. However, until now there is no system that is able to manage data about inventory stock, for this reason the company wants to have a system that can be used to find out inventory, so that it can easily find out the amount and place to store inventory, that the inventory inventory system is not yet effective because doing data processing is still done in a way that is still manual. The results of the analysis are applied in an application capable of processing inventory system data using a web-based programming language. With the design of this new system, it is hoped that it will make it easier for companies/business units to process existing inventory system data, and can increase work effectiveness and efficiency.
Monte Carlo Simulation to increase the efficiency of Gas Distribution in Padang City Zulfitri Yani; Nurmaliana Pohan; Devi Gusmita; Eva Rianti
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 2 (2023): Jurnal Teknologi dan Open Source, December 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i2.3378

Abstract

PT. Cahaya Hermes Indo Abadi is one of the largest non-subsidized gas distributors in the city of Padang. Gas is a necessity in society. It is necessary to pay attention to the availability of gas to meet consumer needs, the state of gas stocks can affect the level of sales revenue. Sales relate to consumer desires for goods and services that they want to fulfill. Increasing the amount of gas demand can generate a large income. In predicting gas needs, a method is needed that is able to overcome society's gas needs. One of the methods used in this research is the Monte Carlo Method. This method is able to overcome further gas needs so data is needed to overcome this problem. The data used is 12 Kg non-subsidized gas sales data for three years, namely Gas Sales Data for 2021, 2022, and Gas Sales Data for 2023. The level of prediction accuracy in 2022 is 86.9% and in 2023 the accuracy is 86.6%. Based on the gas distribution simulation that has been carried out, the average is 86.75%. By obtaining a greater level of accuracy, this method is suitable for use and implementation in predicting future gas demand, making it easier for companies to make decisions in the future.
Naive Bayes Algorithm Classification for Predicting Graduation Rate Pradani Ayu Widya Purnama; Nurmaliana Pohan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 7 No. 2 (2024): Jurnal Teknologi dan Open Source, December 2024
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v7i2.3866

Abstract

Classification refers to the process of identifying a model or function that clarifies or differentiates concepts or categories of data, with the goal of predicting the class of an object. Naïve Bayes is a machine learning technique that employs probability computations. In this case study, various algorithms are used for modeling classification, and the naïve bayes algorithm is applied to examine the graduation rate. By utilizing this method, accuracy is assessed, which allows for an analysis based on criteria such as School Major, First Choice of College, Second Choice of College, Average Graduation Value, and Graduation Information. The outcome of the computation utilizing the Naïve Bayes Algorithm (Information Systems | Option 1) > (Information Engineering | Option 2) is 53.32% > 0%, which allows us to infer that the First Option of Information Systems and the Second Option of Informatics Engineering yield an Average Score of 75.00, resulting in a Graduation Information status of PASS, thus, Information Pass (Option 1-Information Systems).
Co-Authors Abrianisyah, Deli Kartika Adisti Nabila AR, Harlan Kurnia Armonitha, Shary Devi Gusmita Devi Gusmita Gusmita Eska, Juna Eva Rianti Febri Hadi Febriyen Doris Fira Mayori Hidayatullah Hidayatullah Hidayatullah Hidayatullah Husniati - Juna Eska Juna Eska Klara Bate’e Kurnia AR, Harlan Noviardi, Refli Oktiara Wahyuni Oktiara Wahyuni Paisal, Hena Utami Putri Pradani Ayu Widya Purnama Purnama, Pradani Ayu Widya Rahmadanni Pohan, Rahmadanni Rahmi, Nadya Alinda Rasmita Rasmita, Rasmita Salsabilla, Aulia Alsaf Suciati Kartika Chandra Tanjung, Dariana Vicky Ariandi Widya Purnama , Pradani Ayu Yani, Zulfitri Yesri Elva Yeviki Maisyah Putra Zulfitri Yani Zulfitri Yani Zulfitri Yani