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IJISTECH (International Journal Of Information System & Technology)
ISSN : 25807250     EISSN : -     DOI : -
Core Subject : Science,
IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications etc.
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Articles 11 Documents
Search results for , issue "Vol 3, No 1 (2019): November" : 11 Documents clear
The Application of Data Mining in Determining Timely Graduation Using the C45 Algorithm Pradipta, Asro; Hartama, Dedy; Wanto, Anjar; Saifullah, Saifullah; Jalaluddin, Jalaluddin
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.903 KB) | DOI: 10.30645/ijistech.v3i1.30

Abstract

Graduating on time is one element of higher education accreditation assessment. In the Strata 1 level, students are declared to graduate on time if they can complete their studies <= eight semesters or four years. BAN-PT sets a timely graduation standard of >= 50%. If the standard is not met, it will reduce the value of accreditation. These problems encourage the Universitas Simalungun Pematangsiantar to conduct evaluations and strategic steps in an effort to increase student graduation rates so that the targets of BAN-PT can be achieved. For this reason it is necessary to know in advance the pattern of students who tend not to graduate on time. In this study, C4.5 Algorithm is proposed to predict student graduation. This algorithm will process student profile datasets totaling 150 data. This dataset has a graduation status label. The value of the label is categorical, that is, right and late. The features or attributes used, namely the name of the student, gender, student status, GPA. The results of the C4.5 algorithm are in the form of a decision tree model that is very easy to analyze. In fact, even by ordinary people. This model will map the patterns of students who have the potential to graduate on time and late.
Efficient Comparative Analysis Of Fertilizers Palm Oil Febriadi, Bayu; Anisya, Anisya; Putra, Pandu Pratama
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.036 KB) | DOI: 10.30645/ijistech.v3i1.36

Abstract

Palm oil is a vegetable oil-producing plant that has more advantages compared to other vegetable oil-producing plants, which have high productivity reaching 4 tons ha-1 Crude Palm Oil (CPO). Palm oil is also a raw material for making food and non-food ingredients, and renewable fuels. The author wants to make an analysis by comparing two methods, namely the AHP Method (Analytical Hierarchy Process) and Fuzzy logic which is able to handle the uncertainty and uncertainty used. Fuzzy logic used is the Fuzzy Tsukamoto inference system because this method uses monotonous value applications, the output of the inference output from each rule is explicitly given (crisp) based on ?-predicate (fire strength). Whereas the AHP Method can facilitate in calculating the validity to the tolerance level of concentration as criteria and alternatives chosen by the user.
Android-Based Core Fiber Optic Management Information System Design In PT. Telkom Kebumen Waluyo, Ari; Permana, Ega Latif
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.421 KB) | DOI: 10.30645/ijistech.v3i1.31

Abstract

The study aims to design the information system of fiber optic core management based on Android at PT.Telkom Kebumen. This study used qualitative method with a descriptive approach. Data collection techniques are carried out by observation and literature study that related to research. The software development method used waterfall. The problem of the research result are data processing of core management still using Ms.Excel so that the data received by technicians is not accurate because the data changes and data additions are slowly, and to looking for data is too difficult because the data that saved  on Ms.Excel is too much. There are suggestions that submitted, designing a new information system that can help the job so that can be more effective and  efficient. By utilizing the advanced android technology which owned by  all technicians.
Improving Adaptive Learning Rate With Backpropogation on Retail Rice Price Prediction in Traditional Markets Ompusunggu, Erwin Binsar Hamonangan; Solikhun, Solikhun; Parlina, Iin; Sumarno, Sumarno; Gunawan, Indra
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.23 KB) | DOI: 10.30645/ijistech.v3i1.26

Abstract

Rice is the most important staple food and carbohydrate food in the world especially people in Indonesia. This study aims to predict the retail price of rice in traditional markets using backpropogation by improvising Adaptive Learning Rate to increase the value of accuracy. Data sources were obtained from the Central Statistics Agency (BPS) in 33 provinces in Indonesia for the retail price of rice in the traditional market (Rupiah / kg) for the past 6 years (2011-2016). The results of the study state that the improvised learning rate uses 2 models: 2-10-1 and 2-15-1 (LR= 0,1; 0,5; 0,9) that the best architectural models are 4-15-1 (LR= 0.9) with an accuracy of 82%, Training MSE 0,000999936, Testing MSE 0.016051433 and Epoch 20515. The results of this study are expected to provide input to the government in providing input on predictions of retail rice prices that have an impact on the stability of rice prices in Indonesia.
Design Information Consentpasiment Competition Of Desktop Based Dental Poly Information System In Palkesmas Talagabodas Bandung Yanuar, Yudhi; Emalia, Lilis; Ghani, Novia Surya
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.434 KB) | DOI: 10.30645/ijistech.v3i1.32

Abstract

The research aims to know the design of system information completeness of charging the informed consent of the patient's Poly. teeth to use microsoft Visual Studio 2010 in UPT Puskemas Talagabodas the city of Bandung. The research method used is the method of qualitative techniques of collecting data field studies, interviews, the library and browsing the internet. Methods of use is a waterfall. From a study found no problems, namely : The process of completwness analysis  of charging the informed consent is still not running, The informed consent in Poly. teeth are not filled with complete, the lack of socialization of the creation and filling the informed consent, especially in Poly. teeth. The advice is give, namely :  start to do the analysis of the completeness of charging the informed consent in accordance with SOP,  the medical records that there can be re-socialization  back about the creation and filling the informed consent to all staff of other medical right to send out the,  should the institution has a system information that can rock the performance of staff medical records more effective in terms of analyzing the completeness of the informed consent and facilitate the creation of the,quipment.
Increasing Prediction Accuracy with the Backpropagation Algorithm (Case Study: Pematangsiantar City Rainfall) Prayoga, Yogi; Hartama, Dedy; Jalaluddin, Jalaluddin; Sumarno, Sumarno; Nasution, Zulaini Masuro
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.83 KB) | DOI: 10.30645/ijistech.v3i1.27

Abstract

The more advanced science and technology from various disciplines, currently rainfall can be predicted by carrying out various empirical approaches, one of which is by using Artificial Neural Networks (ANN). This study aims to apply ANN with backpropogation algorithm in predicting rainfall. The research data used is BPS data of the transfer city. The results of the study state that of the 6 models (4-5-1, 4-10-1, 4-25-1, 4-5-10-1, 4-5-25-1 and 4-5-50-1) architecture that was trained and tested using Matlab 6.1 application software, the results showed that the 4-5-25-1 architectural model was the best model for making predictions with 75% truth accuracy, Training MSE 0.001004582, Testing MSE 0.021882712 and Epoch 59,076 . It is expected that research can provide input to the government, especially BMKG Pematangsiantar city in predicting Rainfall based on computer science so as to improve the quality of services in the fields of Meteorology, Climatology, Air Quality and Geophysics in accordance with applicable laws and regulations.
Geographical Information System Mapping Based on Android at Equal Senior High School In Lubuklinggau Karman, Joni; Crisdiyanti, Ema
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.099 KB) | DOI: 10.30645/ijistech.v3i1.33

Abstract

The problem in this study is there is no geographic information system for mapping senior high schools so that there is a misunderstanding inlocation delivery at aqual Senior high schools (SMA) in Lubuklinggau. This research uses data collection methods, by making observations at the research site, conducting question and answer directly to the source, and documentation by reading literature books. The results of the study show that the program on the geographic information system mapping on Android based equivalents on Android at Lubuklinggau the geographical information system is expected to be a solution for the community in finding the location of Senior High Schools in Lubuklinggau. This application was created using the C I framework and also the ionic framework supported by api Google Maps.
Analysis of Weight Product (WP) Algorithms in the best Go Car Driver Recommendations at PT. Maranatha Putri Bersaudara Kurniawan, Roni; Windarto, Agus Perdana; Fauzan, M; Solikhun, Solikhun; Damanik, Irfan Sudahri
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.5 KB) | DOI: 10.30645/ijistech.v3i1.28

Abstract

This study aims to rank the best Go Car Driver. The problem arises because of the inaccuracy in giving value to the driver which results in the decision being given incorrectly so that the assessment tends to be subjective. This research was conducted at PT. Maranatha Putri Bersaudara. Sources of data obtained by observing, interviewing. The settlement method used is a decision support system with the Weight Producted method. The assessment criteria used are Performance (C1), Number of orders (C2), Rating (C3), Attitude (C4), Rating (C5) and Appearance (C6) where the alternatives used are 4 samples. The results obtained using the Weighted Product method are Alternative1 and Alternative4 which are recommended as the best go car driver with the assessment results of 0.0307 and 0.0272. It is expected that research results can be input to the relevant parties in recommending the best go car driver so as to minimize subjective judgment.
Design of Artificial Neural Networks to Recognize Fingerprint Patterns Tambunan, Frinto; Y, Yudi; Fauzi, Muhammad
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.507 KB) | DOI: 10.30645/ijistech.v3i1.34

Abstract

Image or pattern recognition system is one of the branches in computer science, this system can help the processing of fingerprint patterns, especially in the banking, police and users of other institutions who really feel the importance of using fingerprints. Several stages in fingerprint pattern image recognition are through the process of scanning, then the resulting digital fingerprint image is converted to a certain value, among others, the threshold process, the division of images, and representation of input values. The training process is carried out using two treatments: the first with a different level of understanding and the second training with different unit numbers, the best training is obtained with a level of understanding of 0.3 and the number of hidden units 10 by producing a short training time and relatively small errors. Fingerprint pattern recognition is done by two trials, based on 1 number of training patterns and 5 number of training patterns. From the research data, the ability of the system to recognize output patterns is greater if the number of training patterns increases, with a number of 1 training patterns, the system is able to recognize 50% external patterns while the 5 system training patterns are able to recognize 70% output patterns.
Implementation of Simple Multi Attribute Rating Technique Method using Decision Support System Concept (Case Recommendation of Salon Place in Pematangsiantar City) Rahadjeng, Indra Riyana; Windarto, Agus Perdana
IJISTECH (International Journal Of Information System & Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.703 KB) | DOI: 10.30645/ijistech.v3i1.29

Abstract

The purpose of the research is to determine the ideal salon place considering the salon is a place visited by women to beautify themselves. This research can also be used as recommendations in the form of information in deciding whether consumers visit the salon or not based on research results. The method used in decision making is the SMART (Simple Multi Attribute Rating Technique) method. To determine the evaluation of the salon, researchers used 5 assessment criteria, among others: service (C1), facilities (C2), products (C3), price (C4) and Purchase Decision (C5). For alternatives used as a salon, among others: salon Sukim (A1), Necis (A2), Endah (A3), Crown (A4) and Chan Dhai (A5). The results obtained by Sukim (A1) with a final value of 0.8835 as the first rank, Endah Salon (A2) with a final score of 0.5530 as the second rank and Chan Dai (A5) with a final value of 0.45 as the third rank.

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