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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
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.
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.
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 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.
PERBANDINGAN ALGORITMA K-MEANS DAN X-MEANS UNTUK MENGELOMPOKKAN MINAT KEJURUAN SISWA BARU PADA SMK MULTIKARYA MEDAN MENGGUNAKAN METODE CLUSTERING Tajrin Tajrin; Eri Timothy Napitupulu; Fine Aldi Jous Nainggolan
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.v6i2.933

Abstract

Abstract Education is one of the decisive aspects in producing the nation's successor. This can be seen from science, especially at the Vocational High School (SMK) level. Determining a student's major is not an easy thing, many parents and their own children do not know their interests and abilities. Determining a major is a process of focusing students on a particular field of concentration, this is done so that each individual can learn more in lessons that are in accordance with concentration and direct each individual to develop their abilities and interests. Majoring is expected to maximize every potential or talent possessed. SMK Multikarya is one of the schools in Medan city that has 8 majors, namely Multimedia, Automotive Light Vehicle Engineering, Computer and Network Engineering, Machining Engineering, Motorcycle Engineering and Business, Accounting and Institutional Finance, Software Engineering and Office Automation and Governance. Where every year SMK Multikarya always accepts 450 students. This results in the school always having difficulty in determining students who do not have a major. One way to make it easier to determine SMK majors is data mining with a comparison of the K-Means and X-Mean Clustering algorithms. In testing the k-means and x-means algorithms can produce the best K-Means algorithm because it produces the lowest value of 0.413 or 41%.
IMPLEMENTASI DATA MINING DALAM KLASIFIKASI DIAGNOSA KANKER PAYUDARA MENGGUNAKAN ALGORITMA LOGISTIC REGRESSION Yahya Anugerah Dwi Khurrota A'yunan; Uce Indahyanti; Suhendro Busono
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.v6i2.948

Abstract

Breast cancer is a very dangerous disease. It is considered as one of the most serious threats to women's health. To treat breast cancer, surgery and chemotherapy are two common approaches. It is important to diagnose breast cancer early to minimize the severity and increase the chance of cure. This study aims to classify breast cancer diagnoses using Logistic Regression. The data used is secondary data downloaded from Kaggle.com totaling 569 records. The data is processed through encoding to change the data type into numeric. Data must also go through outlier handling to remove the same data or excess data that does not match the z-score requirements. Then the data that is ready to be processed is then divided into training and testing data with a ratio of 70%: 30%. This study produces an accuracy rate of 98% on the prediction of breast cancer patients after classification modeling and model testing using the confusion matrix method.
ANALISIS USABILITY TESTING PADA APLIKASI MOBILE BANKING MENGGUNAKAN METODE HEURISTIC EVALUATION Diah Putri Utami; Laela Kurniawati
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.v6i2.1001

Abstract

Abstract A user interface display that is inappropriate or less user-friendly will result in users feeling uncomfortable, plus any problems that arise or errors occurring when using the application can make users potentially abandon the application they are using. This research aims to carry out usability testing on the M-Syariah mobile banking application, usability testing on an application is needed to identify problems with the interface and user experience so that recommendations for application improvements to increase user satisfaction can be made. Usability testing on the M-Syariah mobile banking application was carried out using the Heuristic Evaluation (HE) method. This HE method is based on 10 principles or aspects of usability according to Jacob Nielsen with a severity rating measurement scale. Measuring system usability in the M-Syariah mobile banking application using the HE method produces an average severity rating value of 1, namely the severity level is at the "Cosmetic Problem" level, from these findings the researcher then provides an improvement design as a recommendation that is in accordance with principles of heuristic evaluation and suggestions from respondents.
ANALISIS DALAM MENENTUKAN STOK BARANG MASUK DARI SUPPLIER PADA BLIBLI.COM MEDAN MENGGUNAKAN METODE ASSCOATION RULE DENGAN ALGORITMA APRIORI Delima Sitanggang; Oktoberto Perangin-angin; Esther Mayorita Nababan; Meri Natasia Napitupulu; Evta Indra
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.v6i2.936

Abstract

The divisions that support the service production business continue to be developed, so as to provide more benefits for the organizers. One part that continues to be researched is the determination of suppliers of goods for production companies, because a good supplier will not only maximize cooperative relations, but also supply quality raw materials, as well as provide convenience in the process of importing goods. in the previous calculations the minimum support value that had been determined was 3.5%, so the researcher formed 1 itemset where the support value met the percentage in the category (accessories 5.8%), (cigarette 11.4%), (cooking ingredients 23.1%), (electronic 30.9%), (food 28.1%), (gagdet,46.6%), (healthy&beauty 12.4%), and y(kids&baby 4.2%) , in the formation of 2 itemsets where those containing A are combined with those containing item B which fulfill the percentages on (electronics, food 19.3%) , (gadgets, cooking ingredients 23.9%), (gagdet, electronics 37.6%) , and (gagdet, food 19.3%) in the formation of 3 itemsets with support (A,B,C) there is no item value that meets the minimum support value and for the minimum confidence value in this study 40% in the establishment of a rule or association of 2 itemsets that meet confidence (cigarettes, kids baby 52.6%), and (kids babies, accessories 47.6%), for the establishment of a 3 itemset association rule that meets the minimum confidence value (kids babies, electronics, accessories 47.6%), (kids baby, fozen food, accessories 47.6%), (food, gadgets, kids baby 95.2%), (kids baby, fozen food, cooking ingredients 47.6%).
SISTEM INFORMASI PENGAWASAN TAMAN KOTA PADA DINAS LINGKUNGAN HIDUP DAN KEBERSIHAN KABUPATEN SIDOARJO Achmad Alfian Fajriansyah; Nuril Lutvi Azizah; Ade Eviyanti
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.v6i2.909

Abstract

Utilization of Information Technology at the Sidoarjo Regency Environment and Hygiene Service has a positive impact on service progress. Computerized systems create a very important part of today's technological advances and ease of communication. For this reason, the author wants to develop a computer system that can facilitate the work of the Sidoarjo Regency Environment and Sanitation Service to meet the needs expected by the environmental service or the community for the Sidoarjo city's landscaping environment. The goal obtained from this urban park monitoring information system is that people do not need to come to the environmental service office to do reporting and complaints if there is a park in the Sidoarjo area that needs to be fixed. The technique used in this application is the waterfall method and uses the codeigniter framework. the result of user testing is 68% with the highest observation aspect, namely whether the city park monitoring information system makes it easier for people to mix about landscaping in the Sidoarjo area.

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