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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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KLASIFIKASI WILAYAH RAWAN PANGAN DI KABUPATEN ACEH UTARA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR Eva Darnila; Maryana Maryana; Khairunnisa Khairunnisa
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.v6i2.1075

Abstract

Food insecurity is a condition where food security is not achieved, so food insecurity can be interpreted as a condition of not providing enough food for individuals or individuals to be able to live healthy, active, and productive lives sustainably The Department of Agriculture and Food of North Aceh Regency has compiled a map of the FSVA of North Aceh Regency but it is known that the process of collecting and summarizing FSVA data takes a long time thus resulting in slow handling. This study classifies regional data to classify food insecurity priorities quickly and efficiently using the K-Nearest Neighbor (KNN) algorithm. The data used in this study were 852 regional data. Then it is grouped into 6 priorities, namely Priority 1, Priority 2, Priority 3, Priority 4, Priority 5, Priority 6. The data is divided into 2, namely 70% is used for training data and 30% is used as test data. The results of the classification of food insecure areas using the K-Nearest Neighbor algorithm are Priority 1 consisting of 7 villages (2.73%), Priority 2 consisting of 24 villages (9.37%), Priority 3 consisting of 4 villages (1.56%) with the Euclidean Distance approach, this study achieved an accuracy rate of 86%.
KLASIFIKASI MASA AWAL PANEN SAWIT PADA PT. MUSTIKA SEMBULUH MENGGUNAKAN ALGORITMA CLASSIFICATION AND REGRESSION TREE Poppy Sulistiawaty; Nurahman Nurahman
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.v6i2.946

Abstract

Permasalahan dalam penentuan masa awal pananen kelapa sawit memberikan dampak terhadap hasil produksi berikutnya. Selain nutrisi yang cukup terhadap pohon kelapa sawit dan banyaknya tangkai pelepah serta kondisi buah yang seimbang pada setiap pohon sawit, maka masa awal panen juga merupakan salah satu hal yang penting. Penentuan masa awal panen kelapa sawit dipengaruhi dengan berbagai variabel diantaranya tahun tanam, luas area, jarak tanam, jenis bibit dan berbagai variabel lainnya. Banyaknya variabel dan data tentunya cukup sulit untuk menentuaan masa awal panen kelapa sawit. Untuk itu, Algoritma klasifikasi dalam data mining dapat membantu untuk menganalisis penentuan masa awal panen kelapa sawit. Salah satu model dari metode klasifikasi yang mudah digunakan oleh siapa saja adalah pohon keputusan atau yang disebut dengan decision tree. Penelitian ini bertujuan untuk membangun suatu model pohon keputusan yang dapat digunakan untuk memprediksi masa awal paen kelapa sawit. Algoritma yang digunakan pada penelitian ini adalah Classification and Regression Tree. Proses pengolahan data dilakukan pengujian klasifikasi terhadapt dataset sebanyak 5 kali. Hasil penelitian menunjukkan bahwa Algoritma Classification and Regression Tree mampu menghasilkan model pohon keputusan dengan nilai performa akurasi tertinggi 96,21%. Node akar pada pohon keputusan dimuai dari variabel tahun tanam dan dilanjutkan dengan variabel yang lainnya.
IMPLEMENTASI METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM UNTUK MENENTUKAN TINGKAT KEPUASAN TERHADAP PELAYANAN AKADEMIK UNIVERSITAS PRIMA INDONESIA Purba, Winda Nia; Mendyeta, Cristine; Simanullang, Reno; Kienan, Olwen; Raj, Pravin
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.v7i1.1212

Abstract

This study highlights the importance of understanding student satisfaction with academic services at Universitas Prima Indonesia. Using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method, the research identifies factors such as teaching quality, access to academic resources, and class schedules that influence student satisfaction. Data was collected through questionnaires and observations, then processed with ANFIS to clean, train, and test the data. The findings indicate that the variables of tangibles, responsiveness, reliability, empathy, and assurance significantly affect student satisfaction. The ANFIS model used demonstrates that student satisfaction can be predicted with relatively high accuracy, with an average root mean square error of 0.083297. This study provides guidance for improving the quality of academic services at Universitas Prima Indonesia, emphasizing the importance of professional and high-quality services to meet student expectations.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMBERIAN PENGHARGAAN BAGI PELANGGAN TERBAIK MENGGUNAKAN METODE TOPSIS Dermi Tinambunan; Masrizal Masrizal; 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.v6i2.732

Abstract

This study aims to solve the problem of awarding the best customers at HD Graphics companies. To make it easier for HD Graphics companies to choose the best customers to be awarded, a decision support system was built that can help make it easier for companies to select the best customers from that company. The decision support system was built using the Topsis method (Technique for Order Preference by Similarity to Ideal Solution). The criteria used consist of the percentage of customer purchases, the percentage of smooth payments by customers, customer loyalty, length of subscription, purchase intensity, and the number of cancellations by customers. The results of data processing from this research case study, obtained the 3 best customers, namely Customers 04, 06 and 01 with Vi values of 0.9478, 0.9077, and 0.8104.
IMPLEMENTASI ALGORITMA BUBBLE SORT TERHADAP REKOMENDASI BERITA BERDASAKAN HISTORY BACAAN Ramadhan, Hari; Rahmawati, Silvia
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.v7i1.1287

Abstract

Focusing on the many conveniences offered by online media, a new problem arises among readers who find it difficult to read because they have to search for certain news that they just want to read but are not displayed on the first page. Therefore, having a recommendation system on a news site is very necessary to make it easier for online media to display certain news that only readers want to read. Where news is new information or information about something that is happening, presented in print, broadcast, internet, or by word of mouth to third people or many people. With this recommendation system, readers no longer find it difficult to search for news that is often opened, because this system will display recommendations for news categories that are often opened at the beginning of the page for the reader. The advantage of this recommendation system is that all readers don't have to bother selecting and searching for certain news that visitors often read, because when the reader returns to the news site, the reader will immediately be treated to similar news that visitors often read. The recommendation system design here uses the PHP programming language with a website-based MySQL database using the Bubble Sort algorithm method and the Bubble Sort algorithm was chosen because the process of sorting data is by comparing the current element with the next element.
RANCANG BANGUN SISTEM INFORMASI KOPERASI SIMPAN PINJAM BERBASIS WEBSITE I Made Dwi Kariawan; Ni Made Estiyanti; I Nyoman Purnama
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.v6i2.961

Abstract

The development of technology plays a crucial role in advancing the business world, including its application within cooperatives. Abdi Guna Artha Cooperative is engaged in providing Savings and Loans Cooperative (SLC) services or Koperasi Simpan Pinjam (KSP). The record-keeping within this cooperative is still partially manual, covering member savings, loan records, and other documentation, even though they have incorporated technology into their operations. However, their recording system relies solely on software programs, and the recording process is disparate. Consequently, the report generation process is time-consuming. Data transparency between the Cooperative and its members is essential to maintain trust. To address this issue, the author has developed a web-based Savings and Loans Cooperative Information System to handle the reporting process and to enhance data transparency between the Cooperative and its members. Data transparency is highly demanded by members to ensure the safety of their funds within the Cooperative. Cases of fraud, such as embezzlement of funds by cooperative managers, can be prevented because every transaction is promptly documented and recorded in the system. As a result, members can monitor all their savings and loan transactions, thus fostering trust between the Cooperative and its members.
IMPLEMENTASI AUGMENTED REALITY PEMBELAJARAN ORGAN TUBUH MANUSIA BERBASIS MOBILE Hardiansah, Gian; Ardiani, Farida; Kalifia, Anna Dina
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.v7i1.1255

Abstract

The importance of organ learning for students at the primary and secondary education levels as a basic foundation is a crucial aspect in science and health education. However, in some schools in Indonesia, learning media still rely on conventional methods such as the use of books and anatomical models which are relatively expensive and require space. In addition, conventional media is often unable to provide an in-depth and engaging learning experience for students. This research aims to build an organ learning application utilizing augmented reality technology. The application can display human organs in 3D visual form equipped with explanations and quiz features. This research was conducted using the waterfall method starting from the problem identification stage to the testing stage. The results of the application are then tested using the blackbox testing method, where from 6 application functionalities tested show that the application runs according to the design stage.
IMPLEMENTASI AUGMENTED REALITY PADA APLIKASI PEMBELAJARAN PENGENALAN PLANET TATA SURYA Raihan Anmar Widyasmoro; Adityo Permana Wibowo
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.v6i2.1051

Abstract

The lack of knowledge about solar system information for elementary school students is still a problem that cannot be overcome until now. Developing technology can make a very influential contribution to these problems, therefore this research proposes the implementation of Augmented reality (AR) technology in the context of solar system learning applications. This application is designed with features that can provide interactive and visual information in real-time. Development is carried out using the SDLC method which is a structured method for software development, in the development of the testing phase using the beta testing method with the type of Blackbox testing, with this application students can do more interesting and effective learning so that students' understanding of solar system material is increasing and students are more eager to find out the next materials because of the very interesting presentation. The positive impact when the application is implemented to students is very significant and the learning process does not feel boring for students when the learning process takes place, after being evaluated with the quiz feature student understanding increases. With the results of the tests carried out stating that in the learning system there are no features that fail when run in the sense that the system is feasible to use.
KLASIFIKASI TINGKAT PARTISIPASI PEMILU BERDASARKAN SEKTOR INDUSTRI MENGGUNAKAN ALGORITMA NAÏVE BAYES Yusuf Raharja; Arif Senja Fitrani; Rohman Dijaya
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.v7i1.1204

Abstract

Elections represent the highest form of people's power and a democratic means to elect representatives and leaders. Public participation, influenced by demographics especially in the industrial sector, is a crucial indicator of an election's success. This research aims to classify the level of electoral participation in Pasuruan Regency based on demographic aspects, particularly in the industrial sector of Pasuruan Regency. The demographic dataset includes geography, population, industrial sector and other aspects at the village level sourced from the Pasuruan Regency Central Statistics Agency with a total of 80 attributes designated as predictor attributes and 2019 election recapitulation data on the level of community participation at the voting place specified as target attribute. The preprocessing steps include data cleaning, data transformation, data integration, attribute correlation, random dataset, forming two model datasets, and splitting the data with a 70:30 ratio. The method used in this research is the classification method with the Naïve Bayes algorithm. The results of the testing of model dataset 1 produced an accuracy of 61.8% and model dataset two produced an accuracy of 67.6%. The number of industries in Pasuruan Regency does not have a significant influence on the level of public participation in elections in Pasuruan Regency.
PENGEMBANGAN ARTIFICIAL INTELLIGENCE BERUPA VIRTUAL ASSISTANT MOBILE MENGGUNAKAN FRAMEWORK FLUTTER Reyhan Haqiqi Alif Fourniawan; Ade Eviyanti; Suhendro Busono
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.v7i1.1169

Abstract

Various technologies have been developed today, with Artificial Intelligence (AI) being a prime example. This technology has had a significant impact on our lives, assisting in tasks, jobs, and everyday activities. In this research, an artificial intelligence-based virtual assistant will be developed to facilitate and complete tasks. This artificial intelligence takes the form of a virtual assistant that answers user's questions. This artificial intelligence will be helpful in various fields, including healthcare, economics, education, technology, and more. Additional-ly, the development will focus on a mobile platform to make it user-friendly. Developing an AI-based virtual assistant on a smartphone or mobile platform is highly relevant to the current technological advancements. With this virtual assistant, users can access information or assis-tance anytime, anywhere, making it a practical solution in daily life. Furthermore, in the de-velopment of this virtual assistant, it has already undergone testing using the black-box meth-od. In these tests, the virtual assistant application has successfully passed testing for both its user interface and all of its features.

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