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Sarida Sirait
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Jurnal Tekinkom (Teknik Informasi dan Komputer)
Published by Politeknik Bisnis Indonesia
ISSN : 26211556     EISSN : 26213079     DOI : https://doi.org/10.37600/tekinkom
Core Subject : Science,
Computer Science & IT
Jurnal TEKINKOM merupakan jurnal yang dimaksudkan sebagai media terbitan kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai isu Ilmu - ilmu komputer dan sistem informasi, seperti : Pemrograman Jaringan, Jaringan Komputer, Teknik Komputer, Ilmu Komputer/Informatika, Sistem Informasi, dan Multi Disiplin Penunjang Domain Penelitian Komputasi, Sistem dan Teknologi Informasi dan Komunikasi, dan lain-lain yang terkait. Artikel ilmiah dimaksud berupa kajian teori (theoritical review) dan kajian empiris dari ilmu terkait, yang dapat dipertanggungjawabkan serta disebarluaskan secara nasional maupun internasional.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 72 Documents
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Search results for , issue "Vol 6 No 2 (2023)" : 72 Documents clear
IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN POLA PEMBELIAN PADA KOLEGA COFFEE via nabila banda; Ade Eviyanti; Uce Indahyanti
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.v6i2.1103

Abstract

Kolega Coffee is one of the coffee shops that sells a variety of coffee variants and other menus. The sold menus will be recorded in the sales system for the sales report. The increasing number of visitors generates a lot of sales transaction data. And the data only serves as sales reports and archives. However, if the data is processed further, it will acquire new information for decision-making in business strategy. The research aims to find menus that are often purchased simultaneously through sales transaction data from January to June 2023 using a priori algorithm whose rule has the advantage of being able to know patterns of purchasing products at the same time. by defining frequent itemsets that are useful to form association rules. The results of this study resulted in five association rules from 1917 sales transaction data. For example, if someone buys onion rings, they're also likely to buy a mix platter with a 38.33% confidence rate. This study can give advice for business strategies to coffee colleagues for example for promotion of menu packages or other discounts.
PENGGUNAAN METODE KLASTERISASI K-MEANS DALAM MENENTUKAN MINAT JURUSAN PADA PROSES PENERIMAAN PESERTA DIDIK BARU Tajrin Tajrin; Kevin Agape Tampubolon; Ronasib Haryanto Syahputra; Piltodam Luhut Gunawan Silaban
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.v6i2.934

Abstract

Al Manar High School is one of the schools under the auspices of the Al Munawwarah Al Manar Islamic Education Foundation which is located in Medan City. Al Munawwarah has several educational units, namely, SMA, Aliyah, SMP, MTs and SD. Where every year Al Manar High School always accepts 200 new students each year. This results in schools not utilizing PPDB data properly. However, data utilization for strategic needs for both promotion and marketing evaluation has not been fully carried out using existing data. One way to make it easier to determine marketing promotion is with the K-Means algorithm. This research will recommend the determination of majors for new students of Al -Manar High School by processing data on written test exam scores on new students, student majors consist of 2 namely Science and Social Sciences while the exam variables carried out consist of mathematics, Indonesian language, English, Science and Social Sciences, this research uses new student data as many as 145 students. With this research, the percentage level of grouping new student majors is higher, based on selected attributes with the K-Means Clustering algorithm. The test resulted in a science grouping of 113 students and a social science grouping of 35 students and resulted in an accuracy rate of 52.9%.
ANALISIS PREDIKSI GENRE FILM PADA INTERNET MOVIE DATABASE INDONESIA MENGGUNAKAN METODE LONG SHORT TERM MEMORY Dwi Novi Marito Tampubolon; Valentina Vincensia Hulu; Ryan Oktavianus Sipahutar; Oloan Sihombing
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.v6i2.925

Abstract

A film producer is a person who initiates, coordinates, supervises, and manages the managerial and administrative aspects of film production. This research aims to predict the Film Genre in the Indonesian Internet Movie Database using the Long Short-Term Memory method to analyze the historical data of Indonesian film genres in the Internet Movie Database application for the previous 12 years. The research findings indicate that the LSTM algorithm model can generate accurate predictions with an RMSE value below 2.50 for both training and testing data, and it provides graphical results that can capture patterns and trends from the genre data of IMDb Movies Indonesia. The predictions in this study show that the drama genre has a higher predicted value to be released in the coming years.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PELATIHAN PENGGUNAAN ALAT PERTANIAN BERBASIS IOT DENGAN METODE ARAS Adam Wirayuda; Angga Putra Juledi; Ibnu Rasyid Munthe
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.v6i2.1017

Abstract

The potential benefits of using IoT technology-based tools in agriculture are large, but implementation is still hampered by farmers' lack of understanding. Therefore, training was carried out taking into account the different conditions and needs of farmers in the Bagan Sinembah area. This research aims to build a Decision Support System (DSS) using the ARAS method in determining training priorities for using Internet of Things (IoT)-based agricultural equipment for farmers in the Bagan Sinembah area. Criteria for determining training priorities involve factors such as infrastructure availability, level of technological understanding, local topographic conditions, scale of agricultural business, and availability of funds and resources. The research results obtained consist of 3 groups of farmers who will receive the highest training priority, namely: alternative KTA8 in the first position with a result of 0.85821, alternative KTA4 in the second position with a result of 0.83197, and alternative KTA7 in the third position with a result 0.82643. The highest priority is given to farmer groups with the highest yields. The research results show that the system built can help make it easier for the Faculty of Science and Technology, Labuhanbatu University, to make decisions regarding training priorities for farmers. The results of this research can contribute to the development of a decision support system to increase the efficiency and effectiveness of farmer training in using IoT technology in agriculture in the Bagan Sinembah area.
PEMANFAATAN API (APPLICATION PROGRAMMING INTERFACE) UNTUK PENGEMBANGAN SISTEM PELAYANAN DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL Yesi Nurhana Dalimonthe; Anna Dina Kalifia; Saucha Diwandari
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.v6i2.1053

Abstract

DUKCAPIL services often face obstacles in receiving services manually, which results in a lack of efficiency in community services. The development of an integrated service system based on websites and mobile applications using API technology is a solution in improving efficiency in population and civil registration document services. Development is carried out using API technology as a link between the system and the application. Tests conducted using the System Usability Scale (SUS) by 56 respondents, resulted in a score of 70.08. The score indicates that the system can facilitate online document services as expected. User satisfaction testing can show that the application of service technology through website systems and mobile applications with API technology can provide significant technological support to DUKCAPIL so that it is expected to increase effectiveness and efficiency in community services.
IMPLEMENTASI DATA MINING PENGELOMPOKAN TINGKAT KEPUASAN PELANGGAN PADA PT. BISA GROUP MENGGUNAKAN FUZZY C-MEANS Maria Yostin Br Tarigan; Mita Aprila Silpa Simanjuntak; Musa Andrew Loyd Sitanggang; Etriska Prananta S.; Delima Sitanggang
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.v6i2.937

Abstract

Bisa Group is a company engaged in the Food & Beverage sector. The company records a large number of sales transactions every day, which results in a rapid accumulation of customer data in the database. When the amount of customer data is still small, manual analysis and interpretation methods with human skills are still possible. However, with rapid growth, it is important to monitor customer satisfaction levels to prioritize restaurants that have low satisfaction levels for immediate improvement. The purpose of this monitoring is to increase the number of customer transactions and reduce the possibility of customers switching to other restaurants. By using the Fuzzy C-Means method, customer data can be grouped and focused on customer satisfaction. The results showed that consumer perceptions of service quality were 84% very satisfied, 16% of consumer assessments of service were not satisfied. In clustering analysis using the Fuzzy C-means method, it is concluded that the majority of respondents in the dataset show a very high level of satisfaction with Restaurant services. The benefit of this research is to provide recommendations in improving service quality and become a reference for the company.
PERANCANGAN DAN PEMBUATAN WEBSITE WISATA DESA DARMASABA MENGGUNAKAN METODE DESIGN THINKING I Gede Ginega Jananuraga; I Made Artana; A A Istri Ita Paramitha
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.v6i2.979

Abstract

Darmasaba village is located in the southernmost sub-district of Abiansemal, which is directly adjacent to Denpasar city. Darmasaba Village has several potentials including the potential for traditional Ngerebeg tourism, nature tourism and culinary tourism. However, there is still no place to promote tourism in Darmasaba Village. Due to these problems, it is necessary to design and create a tourism website for Darmasaba Village to improve the user experience. The purpose of this research is to create a tourism website for Darmasaba Village that can provide tourism information using the design thinking method. The design and creation of the tourism website for Darmasaba Village is a website that can be used. The results of the tests conducted suggest that the design and creation of the tourism website for Darmasaba Village can be accepted by users without iteration in the design thinking process with an "acceptable" value.
IMPLEMENTASI ASSOCIATION RULES DENGAN ALGORITMA FP-GROWTH UNTUK MENINGKATKAN PENJUALAN BARANG Yessi Fitri Annisah Lubis; Yuyun Dwi Lestari
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.v6i2.1038

Abstract

This research aims to help the Ayaa Fashion Store improve its sales strategy by understanding customer shopping patterns. This research was carried out by utilizing the FP-Growth algorithm to analyze consumer purchasing patterns based on sales transaction data at the Ayaa Fashion Store which operates in the sales of women's clothing, mukenas and headscarves. The data collection method is carried out through daily sales transaction information, with a total of 365 transactions recording goods purchased by consumers. The use of the FP-Growth Algorithm allows identifying events that frequently occur in the dataset, producing association rules that describe consumer shopping patterns. The analysis is carried out by paying attention to the support and confidence values, as well as using the lift ratio to assess the strength of the association rules. Data processing was carried out using RapidMiner software. The research results include 12 association rules and 20 itemsets of goods that are often purchased by consumers. The results of this research evaluation show that the FP-Growth algorithm is effective in analyzing sales transaction data, providing valuable guidance for designing sales strategies, and optimizing the supply of goods for Ayaa Fashion Stores.
SISTEM PENDUKUKUNG KEPUTUSAN PEMILIHAN SALON MOBIL TERBAIK DENGAN MENGGUNAKAN METODE WASPAS Afrian Alfariz; Ibnu Rasyid Munthe; Angga Putra Juledi
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.v6i2.697

Abstract

This research aims to build a Decision Support System (SPK) to choose the best car salon in the Rokan Hilir area. With increasing car ownership, the need for efficient maintenance has become crucial. The Weighted Aggregated Sum Product Assessment (WASPAS) method is used in this SPK. The research stages involve determining criteria, data collection, normalization, determining criteria weights, ranking alternatives, and evaluation. The criteria used in this research consist of price, quality, performance, technology and comfort. Of the nine alternatives, the ranking results show that SM04 is the best salon in the area. The final results of data processing using the WASPAS method in this study obtained 3 alternatives with the largest value, namely rank 1 alternative SM04 with a final result of 0.92715, rank 2 alternative SM02 with a value of 0.92448 and rank 3 alternative SM06 with a value of 0.92101. Through a decision support system for selecting the best car salon using the WASPAS method in the Rokan Hilir area, this design can make a positive contribution in helping vehicle owners make the best decisions, increase decision-making efficiency, and have a positive impact on the car salon industry in the Rokan Hilir area.
PERANCANGAN APLIKASI AUGMENTED REALITY UNTUK EDUKASI PENERAPAN KONSEP GREEN ECONOMY DALAM PENGEMBANGAN DESA WISATA SEBAGAI UPAYA MEWUJUDKAN PEMBANGUNAN BERWAWASAN LINGKUNGAN Victor Marudut Mulia Siregar; Mhd Ali Hanafiah
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.v6i2.950

Abstract

This study aims to build an augmented reality application that can be used as a means of educating the application of the green economy concept in the development of tourist villages. The use of augmented reality technology is used to overcome the lack of public understanding of the concept of a sustainable green economy and the lack of education about the importance of protecting the environment for environmental sustainability. This research has an important urgency to be carried out as an effort to realize environmentally sound development in the development of tourist villages. The results of this study are Augmented Reality applications that can be used as educational media for the community to apply the green economy concept in the development of tourist villages as an effort to realize environmentally sound and environmentally friendly development with the green economy concept. Through this application, people's understanding of the importance of environmental sustainability in the development of tourist villages increases. With this application, the development of an environmentally sound and environmentally friendly tourist village in the Nagori Tigaras Tourism Village, Simalungun Regency can be achieved better.

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