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Jurnal Mandiri IT

Mandiri
Website

Published by Institute of Computer Science

ISSN : 23018984 EISSN : 28091884 DOI : https://doi.org/10.35335/mandiri

Core Subject : Science, Education,

Computer Science & IT Library & Information Science Mathematics

The Jurnal Mandiri IT is intended as a publication media to publish articles reporting the results of Computer Science and related research.

Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan

Articles 187 Documents

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The Decision Support System Determines The Effectiveness Of The Pelita Nusantara Stmik Promotion Media With The Profile Matching Method Ramli S. Siburian; Agustina Simangunsong
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

In carrying out promotional activities, the level of effectiveness of a promotional media used by the promotion team greatly influences the results to be achieved. Therefore, it is necessary to pay attention to which promotional media is more appropriate to use when conducting promotions. In decision making, the researcher uses the Profile Matching method. The Profile Matching method is used as a mechanism in decision making by assuming that there is an ideal level of predictor variables that must be met by the subject under study, not a minimum level that must be met or passed. In the Profile Matching process, a comparison process will be carried out between individual competencies into standard competencies, in this case the ideal Raskin profile, so that differences in competence can be known. From the decision-making process carried out will obtain the results of the most effective promotional media used in carrying out promotional activities.

Implementation of the C45 Algorithm in Classifying Classes Nellysa Putri Denila Nasution; Fristi Riandari
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Mts Swasta YPII Kotarih is one of the educational institutions which in its implementation classifies several classes for students, one of which is the superior class. However, in practice, each person is still selected based on the rank in each class, making the classification process less accurate and efficient, a computerized classification technique is needed in its implementation, the classification technique used by Data Mining is the c4.5 algorithm that works with the Decision tree to find the highest gain value from each criterion existing criteria, the criteria used in this study are the subjects of Q. Hadith, Akidah, Fiqh, SKI, Arabic, Tahfizh, General research results show that from There are 3 criteria that are most influential in the classification process, namely General, Arabic, Fiqh, implemented in the form of a computerized system. Based on the research results, the highest gain value is the highest gain is General with a value of 0.3629, so that the general attribute becomes node 1 or the root of the decision tree. second highest gain B.Arabic attribute, with a gain value of 1.7189, and the third highest gain is Fiqh with a value of 0.3486.

Plant Disease Diagnosis Expert System Cardamom (Ammomum Cardamomum l.) Using The Naive Bayes Method Web-Based Calvin Berkat Iman Hulu; Hengki Tamando Sihotang
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Diseases and pests on cardamom plants is one of the diseases and pests that can seriously attack cardamom plants. Cardamom plant diseases and pests can be diagnosed through the symptoms that are currently being experienced by the cardamom or through its clinical picture, through these symptoms an expert system can be made to make a diagnosis. An expert system is a system that seeks to adopt human knowledge to a computer that is built to solve problems like an expert. The expert system made in carrying out the diagnosis uses the Naïve Bayes method. This method is a simple probabilistic-based prediction technique based on the application of Bayes' rules with the assumption of strong (naive) independence. In other words, in Naïve Bayes the model used is an “independent feature model”. This expert system was built using PHP and MySQL programming as a database. In this expert system the types of cardamom disease diagnosed consisted of aphids, leaf-eating caterpillars, stem borers, fruit and roots, leaf beetles, mosaics, late blight, root rot, and fungus, which consisted of 33 symptoms. While the results of the diagnosis will inform about the results of the diagnosis containing a list of symptoms entered, information on the results of regulations regarding diseases and pests that are attacking cardamom plants and information about possible treatments that can be carried out and treatment solutions.

Total Prediction Decision Support System Bakery and Cake Production Using Mamdani Fuzzy Method: Case Study: Neko-Neko Bakery & Cake Branch Burned Stone, Deli Serdang Evi Rianto; Jonson Manurung
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

The decision support system for predicting the amount of bakery and cake production using the fuzzy mamdani method is one of the processes for determining the prediction of the amount of bakery and cake production for the next month so that the desired production amount is according to needs. Neko-Neko Bakery & Cake so far in predicting the amount of production where the demand for bakery and cake is sometimes not fulfilled considering that the available bakery and cake production is not sufficient because the bakery and cake supplies in the production section do not meet and vice versa, namely the amount of production sometimes experiences excess in production. production so that it is not in accordance with demand, then there is often an error in predicting the amount of production in producing bakery and cake because the number of bakery and cake productions produced is not really needed while bakery and cake which are often needed are not produced since so far the Neko-Neko Bakery and Cake in Prediction data collection on the number of bakery and cake productions only relies on the Microsoft Office Excel application system where the data that is processed or processed is sometimes double in value. The method used in the decision support system to predict the amount of bakery and cake production is fuzzy mamdani. Mamdani fuzzy method is one method that has a simple structure and easy to understand. Mamdani fuzzy logic uses MIN-MAX or max-product operations with a predetermined set of rules, namely the previous IF…AND…THEN. Based on the application of this mamdani fuzzy method in predicting the amount of bakery and cake production, it can be stated that it is very feasible to apply to Neko-Neko Bakery & Cake. This decision support system was built using the PHP programming language and MySQL database.

Expert System To Diagnose Beengal Cat Disease With Case Based Reasoning Method Ananda Friska Utami; Jonson Manurung
Jurnal Mandiri IT Vol. 10 No. 2 (2022): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

At this time, many animal lovers keep pets. Cat or cattery owners sometimes find it difficult to diagnose pet cat diseases because cat diseases are not the same as human diseases, which are easy to diagnose and provide visible symptoms. Horas Cattery is a breeding ground and provider of pet cat adoption services, including Bengal cats. From the observations of the authors at Horas Cattery, understanding of the symptoms of cat diseases is still lacking, so they still rely on the expertise of experts manually, in addition, the cost for treatment to a veterinarian is very expensive and there are still few veterinarians. In this case, the research conducted at Horas Cattery uses the Case Based Reasoning method which is one of the methods of the expert system to diagnose Bengal cat disease because the method is based on knowledge from previous cases. Based on the research conducted, it was found that the case with the lowest weight was case 13, which was 0.2. Case 2 produces a high weight of 0.6667. So the results of calculations with weights show a confidence level of more than 60%.

Development of Android Applications as an Operating System Media for Learning Electronic Control Competencies in ClassXI students SMKN 2 Pengasih Singgih Yuntoto
Jurnal Mandiri IT Vol. 10 No. 1 (2021): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

At this time the learning process by teachers rarely uses technology and learning media. Students have difficulty using learning media. The limitation of tools is an obstacle in accessing learning media. This research is a type of development research. The product development model adopts a software development model consisting of (1) software requirements analysis, (2) design, (3) code writing and (4) testing. Data collection techniques were carried out by observation, interviews and questionnaires. The testing phase is carried out with product validation by experts, testing on first users (teachers) and testing on end users (students). The data analysis technique used is descriptive analysis technique. The results of this study are: (1) the android application model for appropriate learning media on the competence of operating the electronic control system includes preparation, the subject matter of the operation of the electronic control system, and the evaluation model of choice questions; (2) test the functionality of the android application for appropriate learning media on the competence of operating an electronic control system including ease of navigation, application performance and ease of operation; (3) the feasibility of the android application for appropriate learning media on the competence of operating the electronic control system, based on the performance of the application it can run well. Based on the converted average assessment with a score range of 0-100, the score from media experts was obtained with a score of 83.33 in the "very feasible" category, the assessment by material experts with a score of 71.

Decision Support System for Determination of Water Supply Distribution Decisions Using the Technique for Order Preference Method by Similarity to Ideal Solution (TOPSIS) Henrycus Baik Handoko
Jurnal Mandiri IT Vol. 10 No. 1 (2021): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

The Water Supply Decision Support System is a computer-based information system that can be used to help support the quality of human life in terms of providing clean water. In this system, the results will be in the form of priority decisions for the provision of clean water for each candidate area. In the Social Service Office of Sragen Regency itself, there are criteria in determining decisions according to the results of the proposals submitted by each regional candidate including the number of families who need clean water (KK), the number of people in each region (SOUL), the number of water drops in each region (TANK), and the number of hamlets that need clean water in each area (DUKUH). TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is the method used in this system, determine the results of relative proximity to the ideal solution so that it can produce priority values from several areas. This method was chosen because it considers the distance to the positive ideal solution and the distance to the negative ideal solution by taking relative proximity to the positive ideal solution. Based on the comparison to the relative distances, an alternative priority arrangement can be reached. Based on the comparison to the relative distances, an alternative priority arrangement can be reached. From the results obtained, it can be used to help procure clean water to areas that meet priorities, and its nature only helps to find priority values according to relative proximity to the ideal solution and is not the final goal for decision making. This method was chosen because it considers the distance to the positive ideal solution and the distance to the negative ideal solution by taking relative proximity to the positive ideal solution. Based on the comparison to the relative distances, an alternative priority arrangement can be reached. From the results obtained, it can be used to help procure clean water to areas that meet priorities, and its nature only helps to find priority values according to relative proximity to the ideal solution and is not the final goal for decision making.

Motorcycle Selection Decision Support System Using the Electre III Method Florentina Dwi Widyastuti
Jurnal Mandiri IT Vol. 10 No. 1 (2021): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

n making a decision on the selection of a motorcycle, someone will consider various criteria to get the best decision. To simplify the process, an application program for motorcycle selection decision making is made in this thesis. The application program was built by applying the Electre III method which is able to solve problems with many criteria. The criteria used are divided into 2 parts, namely technical factors such as dimensions, front brakes, rear brakes, engine type, front suspension, rear suspension and cylinder volume; and subjective factors such as availability of spare parts, available service areas, credit process, motorcycle body, motorcycle color, after-sales price, spare part price, purchase price, fuel consumption, speed and durability. The system will search for motorcycles from the database whose subjective and technical factors are the same as those entered by the user. Furthermore, the system will compare the value of the criteria between the selected motorcycle alternatives.

Decision Support System for Determining the Position of Players in a Football Team Using the Simple Multi At Tribute Rating Technique Simeon Sergius Iyai
Jurnal Mandiri IT Vol. 10 No. 1 (2021): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

One of the keys to a team's victory in a soccer match is about the composition of players or the placement of a player's position in accordance with the abilities he has in the team. In general, the determination process is carried out manually based on the trainer's estimates. In this way, it is impossible to know the value of a formation/team with a certain composition of players. In this study, the authors create a decision support system that can assist the coach in determining the most appropriate players to occupy a position in the team formation. Various assessment factors that become decision variables in this system will be taken into consideration in choosing their position. The assessment factors used are weight (kg), height (m), assessment of tactical assessment techniques, psychological assessment, physical assessment, knowledge of a player who is judged when a player makes attacks, defenses, transitions, scoring per position: goalkeeper, back, center, front. The author uses the Simple Multi Attribute Rating Technique (SMART) method because it is considered the most suitable in this case. By considering various attributes, the value of each player, the value of the player in a formation, and the value of a team formation can be obtained with good results.

First Aid Application Development Android Smartphone Imamul Huda
Jurnal Mandiri IT Vol. 10 No. 1 (2021): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Rapid technological advances have turned mobile mobile devices into smartphones that have various applications in them. So that the smartphone device becomes the main need for its users. Several new breakthroughs can be present on smartphones such as applications around health. Where accidents can happen to anyone, anywhere and anytime. First aid measures are very important to do to reduce the impact of accidents. So the researchers developed an Accident First Aid (P3K) application on the Android platform with version 2.2 Froyo. The first aid application has a main feature that contains tutorials on first aid measures in an accident, as well as several additional features in the form of drug information, information on the location of the nearest hospital and pharmacy, types of rescue techniques, and emergency number calls. By using the Rapid Application Development system development methodology which consists of three phases, namely planning, design and implementation of the workshop, this application is made using the Android SDK Framework, Java Programming Language, googlemaps as a spatial data service and system testing has been carried out using the Black Box testing method. . This application, which has a file memory of 3.5Mb, can help smartphone users to recognize, learn and understand various first aid measures and become an application that can help victims when an accident occurs. googlemaps as a spatial data service and system testing has been carried out using the Black Box testing method. This application, which has a file memory of 3.5Mb, can help smartphone users to recognize, learn and understand various first aid measures and become an application that can help victims when an accident occurs. googlemaps as a spatial data service and system testing has been carried out using the Black Box testing method. This application, which has a file memory of 3.5Mb, can help smartphone users to recognize, learn and understand various first aid measures and become an application that can help victims when an accident occurs.

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Fristi Riandari

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hengkitamando26@gmail.com

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Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Fristi Riandari

Contact Email hengkitamando26@gmail.com

Phone +6281381251442

Journal Mail Official hengkitamando26@gmail.com

Editorial Address Romeby Lestari Housing Complex Blok C Number C14, North Sumatra, Indonesia

Location Unknown, Unknown INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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Abstract

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Abstract

Contact Name
Fristi Riandari

Contact Email
hengkitamando26@gmail.com

Phone
+6281381251442

Journal Mail Official
hengkitamando26@gmail.com

Editorial Address
Romeby Lestari Housing Complex Blok C Number C14, North Sumatra, Indonesia

Location
Unknown,

Unknown

INDONESIA