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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
ANALISIS KOMPARASI ALGORITMA C5.0 DAN NAIVE BAYES PENENTUAN PENERIMA BEASISWA UNIVERSITAS PRIMA INDONESIA Fantasy, Carolus Laberto; Simanjuntak, Felix Luther Mateus; Purba, Raja Levi Aldi; Sihombing, Oloan
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.v6i2.926

Abstract

In developing quality human resources, Prima Indonesia University offers a scholarship program to help with educational costs for outstanding students. This research aims to help solve the problem of scholarship recipient selection which requires in-depth analysis using data mining technology. In this research, the use of the C5.0 algorithm and Naive Bayes algorithms was compared in determining scholarship recipients at Prima Indonesia University. The research method involves research locations at Prima Indonesia University using scholarship student data for 2019-2022 as research objects. The research instrument includes the use of the Python programming language with Google Colab as an editor, the Windows 10 operating system, and hardware with certain specifications. Data collection involves observation, literature study, data cleaning, data mining, and exploratory data analysis. The results of research using and comparing the C5.0 and Naive Bayes algorithms show an accuracy of 98.62% and 91.37% respectively. Evaluation involves precision, recall, F1, and confusion matrix values. In conclusion, the C5.0 algorithm is more accurate in determining scholarship eligibility than Naive Bayes, with accuracy increasing by around 8%. This research contributes to the development of data mining and predictive analysis in the context of determining scholarship recipients in higher education institutions.
ANALISIS METODE PREFERENCE SELECTION INDEX DALAM MANAJERIAL EVALUASI KINERJA SUMBER DAYA MANUSIA Laia, Angelus Aprianus; Aisyah, Siti; Togatorop, Aprianto; Marpaung, Dolly Martin
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.v6i2.923

Abstract

This research aims to solve the problem of performance assessment in a private company in the city of Medan. The quality of human resources (HR) is a key factor in achieving company goals, and performance appraisals often give rise to the effects of social jealousy among workers. To assist managerial parties in evaluating the performance of Human Resources, the Preference Selection Index (PSI) method is used to assist decision making. This research uses quantitative methods with employee data from the company's administration department as a sample by applying 4 assessment criteria such as performance, persistence, loyalty, discipline. Data collection involves interviews and direct visits to research locations. Data analysis was carried out by formulating a decision matrix, normalizing the data, calculating the normalized average value, preference variation value, determining the value in preferences, calculating the criteria weights, and calculating the overall preference value. The results showed that Individual 8 had the highest performance. This conclusion provides an overview of the extent to which employee performance meets the standards set by the company. This PSI method can be an effective tool in assisting management in making decisions regarding HR performance evaluation, by providing valuable information for understanding and increasing employee productivity.
IMPLEMENTASI SCAN MARKER AUGMENTED REALITY UNTUK MEDIA PENGENALAN ORGAN TUBUH MANUSIA Rifai, Anes Sayful Bahtiyar; Aji, Adam Sekti
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.v6i2.1039

Abstract

Learning involves the exchange of information and knowledge between educators, disciples, and educational resources. Currently, the transmission of educational content from educators to disciples generally has not used technology as a learning tool, thus making disciples exhibit a lack of enthusiasm and experience disinterest when it comes to grasping educational content. Researchers designed and created an application as an interactive learning tool to learn human organs for elementary school students. The research findings are translated into an application for the introduction of human organs using Augmented reality technology, all button functions on the hull learning application function properly. The accuracy of marker detection is influenced by several parameters including light intensity, marker scanning distance, and marker movement. This learning application's aim is to facilitate the learning application of human organs for elementary school students fun and easy to learn by elementary school students, successfully achieved.
PENERAPAN METODE TREND MOMENT DALAM MEMPREDIKSI HARGA MINYAK MENTAH PADA PT ASIAN AGRI Mujahid, Putra Edi; Gultom, Maju Parsaoran; Lahagu, Hasrat Gideon; Sinaga, Indah
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.v6i2.930

Abstract

In this research, this study aims to explore the potential and benefits of applying the Trend Moment method in predicting crude oil price trends at PT Asian Agri. The method used is the Trend Moment Method. Based on the results of the evaluation of the trend moment, it can be concluded that the method is good at predicting crude oil prices. With historical data for 2 years. The evaluation value shows that the trend moment value for Adj Close crude oil prices, the value obtained is 1615.65. UMK produces a value of 5079929.413333333. MAPE produces values ​​of 2.698007510149617 and 1.94.
PENERAPAN NEURAL NETWORK LSTM DALAM MEMPREDIKSI SENTIMEN PENGGUNA TWITTER TERHADAP BITCOIN Pratama, Duta; Wijaya, Salim; Santosa, Sofian Ali; Tamba, Saut Parsaoran
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.v6i2.921

Abstract

Abstract This research aims to apply the Long Short-Term Memory (LSTM) Neural Network to predict Twitter users' sentiment towards the price of Bitcoin. Bitcoin, as the leading cryptocurrency in the world, faces high price volatility influenced by external factors and market sentiment. Twitter has become a valuable source of information for market analysis, including sentiment towards Bitcoin. Several algorithms have been studied previously for predicting sentiment towards cryptocurrencies, but LSTM has shown excellent results in text analysis and sequence-based data prediction. This research utilizes LSTM to account for the temporal dependencies in Bitcoin tweet data. During testing, the implementation of Bitcoin sentiment prediction using the LSTM model achieved an accuracy level of 96%, indicating the model's capability to make accurate predictions regarding Bitcoin tweet sentiment. The results of this research can contribute to the development of Bitcoin trading strategies and a better understanding of the cryptocurrency market based on Twitter users' sentiment.
PENENTUAN PRIORITAS PESERTA PELATIHAN DIGITALISASI UMKM MENGGUNAKAN METODE ADDITIVE RATIO ASSESSMENT Sugara, Heru; Purba, Arifin Tua
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.v6i2.1014

Abstract

Digitalization of UMKM is the key to increasing the competitiveness of UMKM in the current technological era. This research aims to create priorities for UMKM digitalization training participants in Pematang Dolok Kahean Village. Determining basic priorities for training participants is carried out using the Decision Support System (DSS) with the Additive Ratio Assessment (ARAS) Method. The criteria used are Business Relevance, UMKM Digital Knowledge and Skills, Potential for Increased Income, Implementation Costs, and Implementation Time. The weight of each criterion is determined based on preference and relative importance. The research results show that alternative A5 is in first position with a result of 0.972, A7 is in second position with a result of 0.921, and A4 is in third position with a result of 0.872. The results of designing a Decision Support System (DSS) to determine priorities for digitalization training for UMKM can help make it easier for the Head of Pematang Dolok Kahean Village to determine priorities for digitalization training for UMKM.
IMPLEMENTASI REST API PADA APLIKASI UNTUK PENCEGAHAN STUNTING DAN MONITORING KESEHATAN ANAK (MOANA) BERBASIS WEB Asra, Tanzilla Nurdhia; Aji, Adam Sekti
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.v6i2.1026

Abstract

Stunting is a condition where infants are shorter in height than their peers, caused by poor parenting practices. This can negatively impact a child's health, increasing the risk of illness and even death. The current data collection system for monitoring child growth and development still relies on books, which are consIDered inefficient and prone to data loss due to damage or exposure to water. This research aims to improve data collection services by utilizing website technology for online and real-time data input. The hope is to provIDe convenience for users in inputting child growth and development data without the risk of losing data. In this study, the data collection process was carried out by means of interviews and direct observation of several posyandu and mothers of toddlers. This research produces a website-based application for admin or posyandu officers. With Visual Studio Code tool and MySQL database. In testing using the Black Box Testing method, the features of the application run quite well from several samples that have been tested. So, with this program tracking child growth and development can be done more effectively and efficiently.
PENGEMBANGAN WEBSITE PADA MADRASAH ALIYAH NEGERI INSAN CENDEKIA SORONG Ardianto, Muhammad Hadad; Matahari, Matahari; Ramadhani, Indri Anugrah
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.v6i2.1066

Abstract

The development of Information Technology has been accelerating in this era, one aspect related to this is the use of websites in educational institutions. This research aims to produce a website that has a more attractive user interface, is easy to use by users, has complete information, and also produces a video guide for the MAN IC Sorong website admin. The type of research used is Research and Development (R&D) and the development model used is waterfall. The results of the MAN IC Sorong website field trial gave very good results, with an average percentage of 90% using ISO 9126 on various aspects. The MAN IC Sorong website is suitable for use, according to the results of the field trial. Field testing of the MAN IC Sorong website admin guide video using ISO 25010 gave excellent results, with an average percentage of 98%. The findings of this study indicate that the admin guide video for the MAN IC Sorong website is suitable for use.
ANALISIS PENERAPAN ALGORITMA C4.5 UNTUK MENGIDENTIFIKASI KELANCARAN KREDIT NASABAH PADA CU. DOSNITAHI PINANG SORI Saputra, Muhardi; Sinaga, Indah Putri Lestari; Sinaga, Wendy
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.v6i2.943

Abstract

CU cooperative. Donsitahi Pinang Sori is a business unit engaged in savings and loan services that are protected under Law Number 25 of 1992. Savings and loans that are often in demand by customers are cash savings and loans. The problem that occurs is that bad credit often occurs on cash loan customers. Various reasons put forward by customers in arrears of payment. This is very detrimental to the cooperative. For this reason, an analysis of the relationship between education, employment, number of dependents, salary, home ownership and monthly tenure is needed for prospective customers in order to form a classification / grouping of prospective customers' backgrounds so that the company can consider whether to approve or reject the application. Method analysis using the c4.5 algorithm. The results obtained from the 1001 processing data are if the number of dependents is large but the salary is large then it will be in the nature of current credit.
RANCANG BANGUN APLIKASI ADVISOR AND MONITORING SERVICE PADA AUTO2000 PERMATA HIJAU BERBASIS ANDROID Darmuli, Andri; Fauziyah, Fauziyah; Whendasmoro, Raditya Galih
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.v6i2.749

Abstract

Service advisor and monitoring is an activity of providing advice and monitoring related to vehicle service and repair. Service Advisor is useful for providing information and advice to customers regarding service at Auto2000. The purpose of this research is to solve problems where customers and service advisors can connect online to provide information and advice. In making the advisor and monitoring service system, the method used is the Software Development Life Cycle (SDLC). The SDLC method has 6 steps: (1) Planning, (2) Analysis, (3) Design, (4) Implementation, (5) Testing, (6) Maintenance. The Auto2000 Advisor and Monitoring application is designed using diagram modeling, namely the Unified Modeling Language (UML), such as Use Case Diagram, Activity Diagram and Class Diagram. While testing is done using the MC Call criteria. From the research that has been done, the advisor and monitoring system makes it easier to provide advice or input to customers on service and service monitoring in monitoring.

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