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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 407 Documents
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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.
PENERAPAN ALGORITMA NAÏVE BAYES UNTUK PREDIKSI PENERIMAAN KARYAWAN Intan Murni Pratiwi; Ahmad Fauzi; Santi Arum Puspita Lestari; Yana Cahyana
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.v7i1.1282

Abstract

The number of job seekers keeps growing, as does the quantity of companies that open job vacancies and offer opportunities to prospective employees. In terms of recruiting new employees, companies are very selective.. Companies are very selective in accepting prospective workers, where prospective workers must have qualifications that are in accordance with the positions needed in the company, because employees are an important asset in the growth and development of the company. because employees are an important factor in the growth and development of the company. Quality companies need good employees. This research uses employee recruitment data from PT Atma Darma Apta. The data has 372 rows and 8 attributes. The Naïve Bayes algorithm and the assessment techniques Mean Squared Error, Root Mean Squared Error, and R2 Score are used in this study. The results showed that the algorithm obtained good results by using a 90 to 10 data division resulting in a large accuracy value of 97.14%. In addition, the MSE, RMSE, and R2 Score values have quite good results, which are 2.86, 16.90, and 1.00. The 70 to 30 data division produces poor values with error values of 152.80 and 123.60, but the accuracy and R2 Score values are quite large at 96.15% and 0.95. With these results, this research can be continued into an application that can predict employee selection results.
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 WEB SERVICE UNTUK PLATFORM FREELANCE DIGITAL DENGAN METODE EXTREME PROGRAMMING Rayhanantha Akbar Putra Prasetyo; Irwan Alnarus Kautsar; Hamzah Setiawan
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.v7i1.1207

Abstract

Freelancing has been trending for a few years lately, this kind of job industry is game-changing with many different jobs vacant. Technologies that are established further give new opportunities for freelancing jobs, moving from attending the office to working at home or on our own time services. Web service is one of the most used technologies that have been spread over many uses, it is one of the Application Programming Interface (API) branches, such as providing data and storage of data, this usability helps in many ways of software development, some application required a way to secure their data usage, efficiency on distributing data, easy use for development sustainability and maintainability. Extreme programming is a fast-paced development method that adapts with requisites on developed applications, by using this method hoping to achieve a developed web service could help freelance industries by distributing integrated freelancer data on many freelancing platforms, in in-order to help freelancing platform develop their main features or such add-ons features to help freelancer promote their services within that platform.
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.
IMPLEMENTASI WEB SERVICE REST API UNTUK PENCARIAN RUJUKAN ISLAM MENGGUNAKAN ELASTICSEARCH Fachrul Hakim; Nazruddin Safaat H; Lestari Handayani; Liza Afriyanti
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.v7i1.1314

Abstract

This study aims to develop a web-based search system for Islamic references using Elasticsearch, ExpressJS, and VueJS technology to facilitate access to valid religious information. During the data collection stage, the researcher gathered data from the Qur'an and 9 Hadith books in SQL file format. In the analysis and design stage, Elasticsearch technology was used for data search, ExpressJS for the backend providing the API, and VueJS for the frontend. Implementation involved configuring Elasticsearch and Logstash to process data in real-time. Testing was conducted using Black Box Testing, User Acceptance Test (UAT), and Postman to ensure system functionality. The results showed that the system operated well and received a score of 83% in the UAT, indicating it is suitable for use. This system enables efficient and valid searches for Islamic references, supporting better religious practices.
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.
ANALISIS PENILAIAN KINERJA DOSEN MENGGUNAKAN METODE ADAPTIVE NEURON-FUZZY INFERENCE SYSTEM (ANFIS) Rut Ronauli Hutagaol; Aida Elda Afriza; 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.v7i1.1331

Abstract

This research examines the performance of lecturers at Universitas Prima Indonesia using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method to evaluate and enhance teaching quality. The research employs a quantitative approach, collecting data through observations, literature reviews, and questionnaires distributed to 100 students from the Faculty of Science and Technology. Four input variables used are pedagogical competence, professional competence, personal competence, and social competence. The collected data is analyzed using Matlab with ANFIS, which combines the capabilities of artificial neural networks and fuzzy logic to produce accurate predictions. The analysis results show that the ANFIS method is effective in measuring lecturer performance, with high validation results and low error rates. The ANFIS simulation indicates that the majority of lecturers fall into the "Quite Satisfied" category based on student assessments. This study is expected to make a significant contribution to improving the teaching quality of lecturers at Universitas Prima Indonesia through more accurate and technology-based performance evaluations.

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