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HENGKI TAMANDO SIHOTANG
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Jurnal Mantik
Published by Institute of Computer Science
ISSN : -     EISSN : 26854236     DOI : -
Core Subject : Economy, Science, Education,
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media
Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public review of the development of theory, method and applied sciences related to the subject. Jurnal Mantik Penusa is published by Institute of Computer Science (IOCS). Editors invite researchers, practitioners, and students to write scientific developments in fields related to information systems/information technology,Comptuer Science and management science). Jurnal Mantik is issued 4 (FOUR) times a year.
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Articles 2,151 Documents
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The Analysis of Proper Raw Material Inventory Control to Increase Sales Results in the Home Industry of Sihobuk Martabe Tarutung Beans Indra Veri Nainggolan; Ester Mawar Siagian
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1018.pp1831-1836

Abstract

This study aims to determine the implementation of raw material inventory control that should be carried out by Home Industy Kacang Sihobuk Martabe Tarutung in the production of Sihobuk Beans. The data analysis method used is descriptive qualitative data analysis, using the economic order quantity method, safety stockt and he reorder point. Based on the analysis of the peanut raw materials purchase for optimal Sihobuk production according to the economic order quantity method during 2019, which was 7,271 kg per order and the frequency of buyers was 2 times, while according to company policy it was 1,000 kg and the order frequency was 12 times. The quantity of safety stock according to the economic order quantity method in 2019 is 291.67 kg while according to company policy it does not exist because the company does not implement a safety stock system in the production process and the point of reordering 330 kg. The analysis it is known that the total cost of inventories according to the economic order quantity is Rp. 2,073,304, while based on company policy the total cost of inventory is Rp. 5,132,000, so that the Home Industy Sihobuk Martabe Tarutung using the economic order quantity method can save an inventory cost of Rp. 3,058,696. The forecast results for the use of raw materials in the Sihobuk Martabe Home Industry for 2020 are 15,090 kg.
System to Diagnose Periodontics Disease (Gum Disease) Using K-Nearest Neighbour Alghoritms Ahmad Fitri Boy; Amrullah; Egi Affandi
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1023.pp1868-1876

Abstract

A Technological Growth has occurred rapidly at this time.not only in the fields of information,industrial or education but also in the agricultural fields. Therefore the sophistication of the technology was also utilized in order to getting an information about Periodontics (gum disease).Periodontics caused by poor oral hygiene condition.in this problem, a technique that used to diagnose Periodontics disease to be able to helping the doctors and citizens about the disease is really necessary. Therefore the author will design and developing a desktop-based application expert sytem to diagnose Periodontics disease using K-Nearest Neighbor method.Systems will analyze someone based on the previous data of the patients.as a user,patients will insert a data based to their symptomps in order to generate not only an identification of the probabilities accuracy data but also the solution about this disease.this expert system was developed with K-Nearest Neighbor methods for measuring a certainty value from the new hypothesis of new facts based on the previous consultation data records of the patient.the calculation of K-Nearest Neighbor methods has been generated 0.72 or 72% of trust value from one Periodontics disease based on the result of consultation.
Application of Attendance Monitoring System Using RFID (Radio Frequency Identification) and Interface Muhammad Syahputra Novelan
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The design of the attendance monitoring system prototype is made using the RFID (Radio Frequency Identification) sensor. RFID equipped with a reader and tag. Reader used as a medium for reading attendance information and tags used as ID cards. The tools to be made will be integrated with a database so that the attendance system can be monitored using a desktop application. The database will be designed using Mysql and Xampp. The GUI (Graphic User Interface) which will be used as a media interface is designed using the Visual Basic application so that data that has been integrated with the database can be easily monitored using a desktop application. The system that is integrated with the database allows data to be automatically stored in the database, making it easier for admin to recap their attendance.
Employee Diklat on Employee Data Application System PT. Indonesian Port I (Persero) Muhammad Amin
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1026.pp1843-1848

Abstract

Technology and information that are increasingly developing and increasingly sophisticated must be balanced according to our needs. Due to the increasing complexity of the work that we do, it cannot be denied that every agency or other institution is in dire need of technology, which can simplify and speed up work. One of them we can use computer technology, especially computers that use desktop software. So far, education and training staff if there are employees and prospective employees who want to take part in education and training, the data only exists on paper which contains employee and prospective employee data forms, so that data regarding education and training transactions, costs and employee data is not easily stored, if the staff education and training wants to recap the data, it is necessary to check the data archive of employees and prospective employees one by one. Therefore, the authors try to design an information system that can later help Pelindo employees, especially the education and training section. Based on the results of these studies, the authors make a Data Training Application System at PT. Pelabuhan Indonesia I (Persero).
Prototype Automatic Maintenance System on Hydroponic Plants Using Fuzzy and Arduino Uno Methods Gista Nur Mauliddya; Fauziah; Nur Hayati
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1028.pp1849-1854

Abstract

Hydroponic planting media is a planting medium that is currently increasingly popular among the community, with its advantages, namely that it does not require large areas of land because it does not use soil media to plant it but uses water media. Farming using hydroponic techniques has drawbacks, namely the need for persistence to be able to control plant nutrients, water pH, and sufficient water volume so that plants can grow properly. The purpose of this research is how to make a water pH control system, filling water reservoirs, automatic provision Arduino-based nutritional fluids so that it can help facilitate the cultivation process with this hydroponic media. Fuzzy logic helps overcome the intrinsic vagueness of human thinking patterns and natural language, so that it can help understand and respond to unclear human concepts such as heat, cold, big, small, and others. This research begins with the process of designing a tool using Arduino Mega 2560, Logo pH Sensor v1.1, 100 psi DC 12 V 3.5 A pump, and a 12 V DC diaphragm pump, then the process of testing the tool using planting media and yielding a success value of 100% for the water level controller, 80% for the nutrient control, and 75% for the PH control system with an average success value of 85% with the experimental mass for 2 weeks using kale.
Android & Ios Covid19 Data Clustering Application Using Flutter with K-Means Algorithm Wildan Alfy Syahry; Fauziah; Ratih Titi Kumalasari
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1029.pp1855-1867

Abstract

In the current pandemic, Covid19 has a tremendous impact on the survival of mankind. The government has made efforts to spread Covid19 so that it does not spread much in Indonesia, and now it is in the process of being called PSBB (Large-Scale Social Restrictions) but many Indonesians still violate and ignore the program. There are still many who travel to the Mall, Coffe shop, and even abroad. In this 2020 Era, mobile technology is now an important component of human life, so it is possible to harness the power of mobile technology to make the Indonesian people who still want to violate the program of this government aimed at reducing the spread of COVID-19. So the author aims to create an application that can be accessed through Android & Ios
Analysis of the Effect of Product Quality, Brand Image and Customer Relations on Customer Loyalty CV. Globalindo Sejati Evi Novalin Bako; Asmiati Nabila
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to determine the analysis of the effect of product quality on consumer loyalty, analysis of the influence of brand image on consumer loyalty, analysis of the influence of customer relations on customer loyalty and analysis of the influence of product quality, brand image and customer relations on consumer loyalty. This is quantitative research. The population in the study is customers of CV. GlobalindoSejati Medan, amounting to 100 person and the determination of sample size using the Slovin formula so that the sample in this study was 50 people while the sampling technique used incidental sampling. Sources of data come from primary data, namely observation, interviews, questionnaires that have been tested for validity and reliability and from secondary data. Data analysis method used is multiple linear regression analysis, partial test (t-test), simultaneous test (F test), and determination coefficient (R2). Based on the results of multiple linear analysis obtained Y = 20,107 + 0,429X1 + 0,322X2 + 0,321X3 + e which shows that product quality , brand image, and customer relations (Customer relations) have a positive relationship to consumer loyalty CV. GlobalindoSejati. While the test results (t) or partial shows that partially the quality of the product, brand image and customer relations have a positive and significant effect on consumer loyalty at CV. Global GlobalSejati where the value of t arithmetic for the product quality variable is t count = 7,552> t table 2.012, brand image variables also have a positive and significant effect on consumer loyalty which can be seen t count = 2.915> t table 2. 012 and customer relations variables also have a positive and significant effect on consumer loyalty which can be seen t count = 3.218> t table 2,012. The results of the coefficient of determination (R2) with an adjusted R2 value of 0.675 (67.5%). So that it can be said that 67.5% variation of the dependent variable namely product quality, brand image, and customer relationship on the model can explain consumer loyalty CV. GlobalindoSejati.
Classification of Feasibility of Credit for Candidated CS Finance Debtors Using Naïve Bayes Method Nuraisana; Ellisa Purba
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1031.pp1885-1899

Abstract

CS Finance is one of the central financing institutions in the two-wheeler finance industry. CS Finance, which was founded in 2010 under the name PT Central Santosa Finance. The problem that is often faced is when conducting administrative assessments to determine the right prospective debtor's eligibility. We need a system that can assist CS Finance in determining the feasibility of prospective debtors quickly and precisely. The method used in this research is Naïve Bayes. The data processed is data of prospective debtors. The variables used have been determined based on four attributes, namely character, capacity, capital, and conditions; testing is carried out using Rapidminer software, and the accuracy of the Naïve Bayes algorithm for predicting the feasibility of prospective debtors based on training data shows good performance, namely 80%. Hence, it is feasible for use. To make it easier for users to predict prospective borrowers' creditworthiness, a creditworthiness classification system for prospective debtors has been created in CS Finance using the web-based naïve Bayes method.
Classification of Citizens with Low Economic Level Using Naive Bayes Classification Method Artika Surniandari; Hilda Rachmi; Lisda Widiastuti
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The effort to reduce poverty, it is hoped that the economic growth of a region can be spread evenly. To equalize the economic level of its citizens, local governments provide many opportunities for their citizens to get help or subsidies and even help open businesses so that the welfare of their citizens can be improved. The availability of accurate and sustainable citizens' economic status data is one of the important instruments for evaluating government policies in alleviating poverty by distributing targeted aid. Therefore, this study will conduct a classification based on data from citizens with low economic levels obtained from Pasar Babakan Sub-district, Bogor. The data used in this study is the data of underprivileged residents who are in Pasar Babakan Sub-district Bogor using data mining techniques. The training data are taken from 214 citizens that has a category of underprivileged citizens with attributes used in the classification of income per day, occupation and number of dependents. The test results using the Naive Bayes Classifier method produce 100% accuracy including the excellent category with 100% precision and 100% recall.
Effect of GCG, ROA and DER to Predict Financial Distress on Property and Real Estate Companies in BEI 2014-2018 period Silvia Silvia; Linda Linda; Teddy Nugroho; Jesica Jesica; Faathir Nurul Yaasiin
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1033.pp1906-1912

Abstract

This paper aims to predict financial distress as seen from the factors of GCG, ROA and DER. This research was conducted in the property and real estate sector, amounting to 52 companies with a sample of 27 companies. The data analysis tool used was multiple discriminant analysis. The results of this data test meet the four requirements of the classical assumption test. The GCG variable in this study uses an independent commissioner proxy and to predict financial distress uses the Altman Z Score formula. The conclusion of this research is that partially GCG (independent commissioner) is notable to distinguish between bankrupt, gray and healthy companies, while partially ROA and DER able to distinguish between bankrupt, gray and healthy companies

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