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ILKOM Jurnal Ilmiah

ILKOM
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Published by Universitas Muslim Indonesia

ISSN : 20871716 EISSN : 25487779 DOI : -

Core Subject : Science,

Computer Science & IT

ILKOM Jurnal Ilmiah is an Indonesian scientific journal published by the Department of Information Technology, Faculty of Computer Science, Universitas Muslim Indonesia. ILKOM Jurnal Ilmiah covers all aspects of the latest outstanding research and developments in the field of Computer science, including Artificial intelligence, Computer architecture and engineering, Computer performance analysis, Computer graphics and visualization, Computer security and cryptography, Computational science, Computer networks, Concurrent, parallel and distributed systems, Databases, Human-computer interaction, Embedded system, and Software engineering.

Arjuna Subject : -

Articles 20 Documents

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Search results for , issue "Vol 12, No 1 (2020)" : 20 Documents clear

PENDETEKSIAN KERUSAKAN PRINTER MENGGUNAKAN METODE FORWARD CHAINING Amriana, Amriana; Dodu, Albrecht Yordanus Erwin; Mas, Pebri Ramadhan
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

As technology advances, almost everyone has a printer in their home as a printing aid. but not a few printers that have small or big problems. with this technological advancement, almost all people have personal smarthpones. This research aims to build a moble based system where users can solve printer problems by using applications on their smartphones based on knowledge obtained from experts created by the Forward Chaining method. This expert system can detect nine different types of printers owned by Canon manufacturers with total of 26 Problem and 38 symptomps and has an 80 % of accuracy.

PENGELOMPOKAN BUAH JERUK MENGGUNAKAN NAÃ¯VE BAYES DAN GRAY LEVEL CO-OCCURRENCE MATRIX Haba, Rahmat Karim; Pelangi, Kartika Chandra
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Tangerines are fruits that are rich in high vitamin C content. Every orchard owner always tries to improve the quality of their plantation. In the selection of tangerines to be classified as ripe or immature at harvest time, the garden planters are already accustomed, but sometimes the farmer grouping the ripe oranges has problems such as physical limitations of the farmer, which is caused by fatigue factor. because it is still grouping with conventional systems so it is not effective and efficient in classifying ripe oranges. So from that we need a computerized system that can help gardeners in classifying ripe oranges. One of the technologies currently developing in agriculture and plantations is digital image processing using a classification system based on the texture and naïve bayes method. Based on the results that have been made, that the classification system using the Naïve Bayes method on tangerine images can be classified and obtain effective and efficient performance based on testing of 82% so that it can be implemented.

IDENTIFIKASI HAMA KELAPA SAWIT MENGGUNAKAN METODE CERTAINTY FACTOR Widians, Joan Angelina; Rizkyani, Farahdina Nur
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

The lack of knowledge of palm oil farmers and general public about pests in palm oil plants will result in a lack of crop yields on these plants. The resulted in the impact of many palm oil farmers who cut down trees as an effort to eradicate of pests. The limitations of an experts makes handling palm oil plan pests difficult so it is necessary to have an experts system that is able to identify pests of palm oil and how to control them based on knowledge given directly by human experts. The inference is Forward chaining by tracing the rules based on the answers of users. And then calculated by Certainty Factor method. The result of calculation is in the form of a percentage value of confidence and user can immediately find out the type of pests identified and how to control it. This research found 7 (seven) types of pests that attack palm oil are fire caterpillar Setothosea asigna, caterpillars Dasychira inclusa, bag caterpillar Metisa plana, horn beetle Oryctes rhinoceros, termite Coptotermes curvignathus, wild rat Rattus tiomanicus, dan wild pig Sus crofa. The biggest pest attact on palm oil is Termite Coptotermes Curvignathus is 88,8%

CASE BASED REASONING METHOD UNTUK SISTEM PAKAR DIAGNOSA PENYAKIT SAPI Muzakkir, Irvan; Botutihe, Marniyati Husain
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

This study discusses about the Application of Case Based Reasoning (CBR) Method for Expert Systems in Diagnosing Cattle Disease. Beginning with data collection by consulting experts in the Department of Agriculture in Animal Health, Pohuwato Regency. The data obtained in the form of data names of disease and symptom data. The data is obtained based on the steps of the CBR method calculation in order to obtain the results of the diagnosis and the solution provided for handling the disease. Researcher have analyzed and create program listings to build a system that will be used by farmers. Based on CBR calculations Scours case which has the lowest weight is 0.09 while the highest weight is owned by the Pink Eye case 1. In this process provides a solution to the similarity of the case weight from the old case to the new higher case. In the case of Pink Eye having a higher weight and positive exposure to pink eye disease, the solution given is the provision of anti-allergic, anti-biotic and vitamin. Based on the results obtained, it can be concluded that the application of the CBR method is good for using cattle disease and is very helpful for farmers in dealing with cattle disease.

ANALISIS IMPLEMENTASI SERVER CHATTING PADA WIRELESS LAN Satra, Ramdan
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

There are currently many types of social media, but all of them are based on external servers. This causes communication data between users on social media to be stored on an external server. Retrieval of data without the permission of the owner is very possible. Therefore, we need a local server to store these data in certain companies or organizations. This research consists of several stages, namely designing a chat server topology, then configuring a chat server using Kamailio and finally testing the performance of the local network with parameters delay, packet loss and wireless signal strength (decibels). The results of this study indicate that the chat server implementation can be applied to the Faculty of Computer Science UMI based on observations of delay, packet losss and signal strength on the 1st and 2nd floors. On the 1st floor, the network access is quite good. WiFi is in the position of -50 dBm to -76 dBm and 0% packet loss and delays from 8 ms - 60 ms. On the 2nd floor, the WiFi network access is good enough, but at the 2nd location point, the second floor has a long delay of 563 ms, this shows bad access to the chat server, but the whole point shows that the second server's chat access is good.

ALGORITMA BACKPROPAGATION NEURAL NETWORK DALAM MEMPREDIKSI HARGA KOMODITI TANAMAN KARET Simanungkalit, Julius Rinaldi; Haviluddin, Haviluddin; Pakpahan, Herman Santoso; Puspitasari, Novianti; Wati, Masna
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Rubber plantation sector is one of the leading commodities in East Kalimantan Province contributing greatly to non-oil and gas exports. Currently, the price of rubber in the world is increasingly competitive. The aim of this research is to predict the rubber prices as a reference for the government and companies in making policies and preparing work plans. Data of 60 months during the period of 2014-2018 taken from Plantation office of East Kalimantan Province has been analyzed using Backpropagation Neural Network (BPNN) algorithm in predicting rubber prices. Based on the testing results, parameters of the BPNN algorithm with ratio of 4: 1, architectural models 5-10-10-10-1, trainlm learning function, learning rate of 0.5, error tolerance of 0.01, and epoch of 1000 have gained good accuracy with a mean square error (MSE) of 0.00015464. The results showed that the BPNN algorithm can be used as an alternative method in forecasting.

PENENTUAN PRIORITAS KESEJAHTERAAN KELUARGA MENGGUNAKAN METODE THE EXTENDED PROMETHEE II Wati, Masna; Lubis, Ferry Miechel; Tejawati, Andi
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Indonesia is a developing country in which poverty is one of the problems faced by each province. The government continues to strive to overcome this problem of poverty to be able to create conditions for a prosperous society. The government's efforts to poverty alleviation are by providing some assistance programs. Therefore, it is necessary to build a decision support system that is useful to help the government to make a decision. This decision support system applies the EXPROM II (The Extended Promethee II) method with the weight of objective criteria. There are 15 criteria used based on SUSENAS data from the Statistics Indonesia of East Kalimantan Province. This research resulted in a decision support system that can give priority order of the level of family welfare so that it can be considered or referred by the local government or related agencies in distributing assistance to the society.

SISTEM REKOMENDASI WISATA PANTAI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Suherman, Suherman; Samsuni, Sunny; Hakim, Imam Lukman
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

The number of beach tourism in the Serang Regency or Anyer beach region and the diversity of the desires of every tourist, then tourists are required knowledge of traveling in terms of choosing the desired tourist location. For tourists who already have the experience of traveling on the Anyer beach, it is not too difficult to determine the desired tourist location, but most tourists who do not have the tourist experience on the Anyer beach will have difficulty being able to determine the expected beach tourism location. This study aims to provide recommendations of 24 Anyer beach tourist attractions to tourists. Recommendations generated using the Simple Additive Weighting (SAW) method using 12 criteria. The results of this study are in the form of applications that can be accessed online. The application can produce appropriate recommendations for tourists in the form of alternative beach tourism along with details such as the name of the beach tour, address, coordinates of Google Maps, photos of the state of beach tourism and the price of admission.

Perbandingan Algoritma Fitness of Spring dan Algoritma Tabu Search pada Kasus Penjadwalan Perkuliahan Laswi, Aishiyah Saputri
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

The compilation of lecture schedules is very important at universities for the continuity of the teaching and learning process of study programs. Such as at Andi Djemma Palopo University, Informatics Engineering Study Program. Frequently occurring alternate lectures to change course schedules is a complex thing considering the pre-existing schedule is well organized. But with the lectures, it is usually difficult to determine schedules, days, hours, rooms, and classes so that, no alternate lectures are coinciding with other subjects. so that in this Case Study, the researcher compared two methods namely the Fitness Method and the Taboo Search Algorithm to see the performance when determining the replacement schedule. The values obtained from the results of the implementation of the two methods above, are with using the fitness method is 40 while for the taboo search the maximum value obtained is 15, based on the order of the schedule of previous courses and courses that will be replaced. Thus, the value obtained by using the taboo search method is in the normal category compared to the changing fitness method. Thus, the researcher can conclude that the value obtained by the taboo search is smaller so that, it is good to be used to determine scheduling.

SISTEM INFORMASI PROGRAM KREATIVITAS MAHASISWA BERBASIS WEB SERVICE DAN MICROSERVICE Lokapitasari Belluano, Poetri Lestari; Purnawansyah, Purnawansyah; Panggabean, Benny Leonard Enrico; Herman, Herman
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

The information system is faced with a significant development, it needs to have not only the policy changes but also the features as an effort update, according to necessity both internal and external business rule systems. This research aims to form a microservice infrastructure for updating changes in flow of business process to the development of information systems. This Research methods come under both field studies and literature to the subject matter related with the development of Information Systems in managing data of program kreativitas mahasiswa (PKM), Web services and Microservice Architecture. The design is using Prototype model to represent graphically the workflow of the system Model which is using the Unified Modeling Language (UML) tool, Managing the Data Base Management System (DBMS) application using GORM, Go Validator as a data validation tool, and Gorilla Mux as the REST rooter. The application runs by utilizing the Advanced Message Queuing protocol. In conclusion, the implementation of webservice-based university internal information system development with microservice architecture for PKM is reporting activities in where the relationship between units in data transactions (publish, send automatically) is carried out with a duration of time 0,00 / sec.

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Location Kota makassar, Sulawesi selatan INDONESIA

Abstract

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Contact Name
Ramdan Satra

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Ramdan Satra

Phone
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Journal Mail Official
ramdan@umi.ac.id

Editorial Address
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Location
Kota makassar,

Sulawesi selatan

INDONESIA