Jurnal Tekinkom (Teknik Informasi dan Komputer)
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.
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<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PEMBANGUNAN HOTEL DENGAN METODE MULTI-ATTRIBUTIVE BORDER APPROXIMATION AREA COMPARISON ]]>
<![CDATA[Muhammad Yunus]]>;
<![CDATA[Elsida Aritonang]]>;
<![CDATA[Victor Maruli Pakpahan]]>;
<![CDATA[Jubelando O Tambunan]]>;
<![CDATA[Doris Yolanda Saragih]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.1054
<![CDATA[This research aims to develop a Decision Support System (DSS) for determining the location of hotel development on Samosir Island. This DSS is constructed using the Multi-Attributive Border Approximation Area Comparison (MABAC) method. The criteria used in this study include Distance (C1), Natural Beauty (C2), Cleanliness (C3), Transportation (C4), and Atmosphere (C5). The choice of MABAC as the method is made because it provides flexibility for decision-makers to specify preferences and consider variations in criteria. The ranking results from MABAC indicate the top three locations, namely LH04, LH03, and LH01. By implementing the DSS using the MABAC method, this system is expected to make a significant contribution to optimizing the selection of hotel development locations in Samosir. The findings of this research illustrate that the use of the DSS with the MABAC method can be relied upon as a guide in addressing the impact of sustainable hotel growth in crucial tourist destinations such as Samosir.]]>
<![CDATA[PENERAPAN METODE TREND MOMENT DALAM PRDIKSI PENJUALAN OBAT HERBAL KOLESTROL ]]>
<![CDATA[Ilham Pramudya]]>;
<![CDATA[Abednego Maruli Hotasi Sinaga]]>;
<![CDATA[Sri Rezekiana iregar]]>;
<![CDATA[Siti Aisyah]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.924
<![CDATA[This research aims to solve problems in inventory management of cholesterol-lowering herbal medicines at PT. Canaya Sirna Sentosa. Currently, the company is facing difficulties in procuring production materials due to irregular sales of herbal cholesterol medicines, causing inappropriate stock and resulting in losses. This research proposes a prediction system using the trend moment method to help companies manage inventory. This application allows input of product and sales data, as well as providing predicted results for the amount of herbal medicine inventory for a certain period. From the results of data processing obtained from 2018 to January 2023, the total data for sales forecasting/prediction is 42 bottles. The research results show that the trend moment method is effectively used as a prediction tool to reduce the error rate in determining the amount of herbal medicine inventory. This application system provides convenience and speed in data collection and can be a solution to overcome the problem of forecasting the amount of herbal medicine supplies in the future. The use of the trend moment method in this research can increase efficiency and accuracy in herbal medicine inventory management at PT. Canaya Sirna Sentosa, and can minimize losses due to inappropriate stock.]]>
<![CDATA[EXPERT SYSTEM REKOMENDASI PERJALANAN WISATA DANAU TOBA MONACO OF ASIA ]]>
<![CDATA[Sahat Sonang]]>;
<![CDATA[Erwin Sirait]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.1117
<![CDATA[Tourism is becoming one of the world's largest industries year after year. Tourism has a lot of positive effects on the region, such as increased tax revenue, job creation, foreign exchange earnings, and development spread. Traveling is still a popular activity, which has led to new ideas and confusion among travelers about where to go. This is the issue with urgency. The fact that a lot of websites designed for informational purposes and travel booking on the internet are still regarded as basic and static, even though they were made by public and private organizations, is another issue. It is believed that the website provider gives user response and interaction scant consideration. The recommendation of tourist attractions that are appropriate for tourists is the goal of this study. The public's direct recommendations for cultural tourism are mapped out in this tourism recommendation system along with general and cultural tourist attractions. This tourism recommendation system uses genetic algorithms to suggest both cultural and general tourist destinations. Criteria about tourist destinations or places you do not want to visit, as well as priority places or tourism types you want to visit, will be added to this research. The genetic algorithm processes these criteria, and based on the criteria, has been able to generate travel recommendation results that are more optimal and accurate.]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEB ]]>
<![CDATA[Wahyu Pamungkas]]>;
<![CDATA[Firamon Syakti]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.988
<![CDATA[The large number of requests from students applying for scholarships in the Achievement and Bidikmisi pathways means that the school's performance is still not optimal, because the process of collecting and filtering data on scholarship receipts is still manual. Decision support systems are useful in processing data or obtaining information and can help solve problems, especially in various very complex and unstructured issues. The SAW (Simple Additive Weighting) method is a decision support system method that can process scholarship selection results automatically through a system that has been created so that the results are fast and accurate. This research was carried out at Taman Siswa Middle School, Palembang. Researchers collected data through observation, interviews, and literature study. System analysis uses a cause-and-effect analysis method based on existing data, with the development of a waterfall system and HTML and PHP programming languages. The research results show that the highest final score close to score 1 processed by the support system is a student who is recommended to receive a scholarship, while students with the lowest final score are students who are not recommended or not worthy of receiving a scholarship. The Decision Support System in selecting PPA and Bidikmisi scholarship recipients using the SAW method succeeded in determining the order (priority) of students who were entitled and worthy of receiving the scholarship.]]>
<![CDATA[PENERAPAN DATA MINING DALAM MEMPREDIKSI INFLASI LISTRIK DAN BAHAN BAKAR RUMAH TANGGA MENGGUNAKAN METODE REGRESI LINEAR ]]>
<![CDATA[Putra Edi Mujahid]]>;
<![CDATA[Jansen Yudistira Sembiring Meliala]]>;
<![CDATA[Albert Pratama Sembiring]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.931
<![CDATA[In a period of several years, the Indonesian economy has experienced low inflation in all sectors, including Indonesia's electricity and fuel. This increase in the price of electricity and household fuel can trigger inflation in other economic sectors, because these two things are necessities human tree. The purpose of this study is to analyze the application of data mining in predicting household electricity and fuel prices using the regression method. Electricity and house gas prices are important indicators related to financial stability and public health. This study uses data mining methods to identify patterns and trends in local electricity and gas prices. The linear regression method is used as an analytical tool to develop predictive models based on historical data. The dataset was obtained through the Central Statistics Agency from 2021 to 2022 which includes monthly inflation data from 90 cities throughout the year. The results of this study are predictions of annual inflation that will occur. Using data mining and linear regression methods, this research has the potential to be a useful tool for generating better home electricity and fuel price control strategies. This research can also be the basis for further research in the same or other fields.]]>
<![CDATA[SISTEM INFORMASI PENGELOLAAN DATA HASIL PRODUKSI PADA PT.PUTRA MANDIRI INTIPACK ]]>
<![CDATA[Taufiki Ma'rufan]]>;
<![CDATA[Nuril Lutvi Azizah]]>;
<![CDATA[Ika Ratna Indra Astutik]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.910
<![CDATA[The development of the current era of globalization is very sophisticated. Therefore, information systems using computer technology will make it easier for us to manage data. In this case there are problems in the process of recording the production data management information system at PT. Putra Mandiri Intipack. using a manual or paper system which can result in errors in the management of production data. Therefore, to overcome these problems, a web-based production data management information system is needed. With this system, it can reduce errors in data storage and make it easier for the production department to input data. The purpose of this research is to build a production data management information system at PT. Putra Mandiri Intipack uses the codeigniter4 framework and uses the research and development (R&D) method and the results of the blackbox testing show that the production data management information system has all the features functioning as they should. Data from user testing observations with the highest presentation value of 64.7% and lowest 0.0%. The results of this study are in accordance with what is believed by PT. Putra Mandiri Intipack which includes management of data printing, lamination, slitting and sales. Data entry includes date, number, item name, amount and description. It is hoped that this system will make it easier for companies to manage production data and store data properly.]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PRODUKTIVITAS TANAMAN TERBAIK DENGAN MENGGUNAKAN METODE TOPSIS ]]>
<![CDATA[Nina Sari Rizki]]>;
<![CDATA[Angga Putra Juledi]]>;
<![CDATA[Deci Irmayani]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.1058
<![CDATA[This research aims to solve the problem of selecting plants that have the best agricultural productivity, especially in the Bagan Sinembah area. The selection of these plants is based on plants that are quick to harvest and easy to cultivate, which is done to support food security and the local economy. To overcome the complexity in decision making related to plant selection, this research designed a Decision Support System (DSS) using the TOPSIS Method. This method was chosen because it can provide plant recommendations that are effective, efficient, and in accordance with the specified criteria. The research method involves preliminary studies, determining relevant criteria, and collecting data through field surveys. The criteria used in this research consist of Growth Time, Ease of Cultivation, High Production Yield, Production Cost, and Adaptation to the Environment. Criteria weights are determined based on preference and relative importance. The data is then processed using the TOPSIS method to rank alternative plant choices. The analysis results show the ranking of plants based on their relative proximity scores to positive and negative ideal solutions. The results of this research showed that the recommendation for the plant with the best productivity was Alternative A5 with a preference value of 0.74732. The existence of this decision support system can make a positive contribution to the development of the agricultural sector, especially in increasing the productivity of crops that are quick to harvest and easy to cultivate in the Bagan Sinembah area.]]>
<![CDATA[MENGGALAKKAN KEPARIWISATAAN KABUPATEN BIMA DENGAN KONSEP PENYEBARAN INFORMASI WISATA MENGGUNAKAN MODERNISASI WEBSITE ]]>
<![CDATA[Layati Layati]]>;
<![CDATA[Joko Aryanto]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.1027
<![CDATA[Bima Regency has a lot of tourist attractions, but there are still many people who do not know about them, including the people of Bima itself and also from outside the region, because of the difficulty of getting information about tourist attractions in Bima Regency. This research aims to create a web-based Bima Regency tourism information system that can introduce various tourist attractions to the wider community in order to improve the performance of tourism marketing in Bima Regency. This tourism information system was built using the PHP programming language and MySQL as the database. The system development method used is waterfall, which consists of the stages of needs analysis, system design, coding, testing, and maintenance. The tourist data displayed includes descriptions of attractions, locations, accessibility, facilities, costs, and documentation in the form of photos. The result of the research is an information system that can help make it easier for tourists to get information about tours in Bima district, and this website makes it easier for tourists from outside the area to book tour packages and hotel reservations.]]>
<![CDATA[IMPLEMENTASI REST API PADA APLIKASI DONOR DARAH BERBASIS MOBILE DAN WEB ]]>
<![CDATA[Rizky Ramadhani]]>;
<![CDATA[Adam Sekti Aji]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.1016
<![CDATA[Blood is one of the most important parts of the human body. Blood is useful for circulating oxygen throughout the human body. If someone experiences anemia due to an accident or suffers from anemia, even the accumulation of dirty blood in the body can cause diseases that endanger life, health and even human life. Blood donation activities are the process of transferring blood from donors to people who lack blood and the process is carried out by parties authorized to carry out blood processing processes such as the Blood Transfusion Unit (UTD) under the auspices of the Indonesian Red Cross (PMI). However, PMI's blood stock is sometimes not enough to meet existing blood needs, so patients who need blood must look for donors who have the appropriate blood type. Therefore, a Web and Mobile-based blood donation application with Rest Api was created so that patients can get donors quickly]]>
<![CDATA[PERBANDINGAN DISTANCE SPACE PADA K-NEAREST NEIGHBORS DALAM KLASIFIKASI CITRA BIJI KOPI TIMOR BERDASARKAN EKSTRAKSI FITUR GRAY LEVEL CO-OCCURRENCE MATRIX ]]>
<![CDATA[Budiman Baso]]>;
<![CDATA[Risald Risald]]>
<![CDATA[ Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Bisnis Indonesia ]]>
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DOI: 10.37600/tekinkom.v6i2.727
<![CDATA[Each type of robusta and arabica coffee grown in different places will have significant differences in shape and taste because the coffee itself has a rich taste. Each type also has a different price depending on the grade and taste produced. So far, knowing the types of Robusta and Arabica coffee from Timor is only based on sight and knowledge, so it does not rule out the possibility of errors due to differences of opinion for each assessment, because of this a classification system for Timor coffee beans was developed. using digital image processing techniques. In classifying coffee images, an algorithm is needed that can work properly according to the characteristics of the data to be processed. The feature extraction process is carried out using the Gray Level Co Occurrence Matrix (GLCM) method, which is a texture-based feature extraction method that aims to obtain information from an image to be classified. The classification process is carried out by comparing the Distance Space in the K-Nearest Neighbors (K-NN) method. The data used in this study were 200 datasets which were divided into 150 training data and 50 test data, with the distribution of datasets using the Holdout method. The performance of K-Nearest Neighbors with the GLCM feature which gives the best results is the Euclidean Distance space with 1 Neighbors with an accuracy result of 88%.]]>
