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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.
Arjuna Subject : -
Articles 394 Documents
Software Testing with the approach of Blackbox Testing on the Academic Information System S Supriyono
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (811.932 KB) | DOI: 10.30645/ijistech.v3i2.54

Abstract

SIAKAD is a website based information system assessment application that holds academic data of an educational institution. SIAKAD SDIT Robbani was created to help the assessment process of students, both in the form of public and religious subjects. With this investigation is expected to facilitate the assessment process at the school Rabbani. For that, testing is required to know whether the system can run as expected or not. Software Testing was conducted using black-box testing. The software testing method uses a Boundary Value Analysis (BVA) because the assessment has the minimum and maximum constraints of an inputted value. The test results show the scoring system has not been able to fulfil expectations because there is no limit value so the random value will remain stored by the system. This can result in incorrect information generated by the SIAKAD.
Measure Device of Water Content On Food Materials Based On Internet of Things Tri Ferga Prasetyo; Abghi Firas Isdiana; Harun Sujadi
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1081.002 KB) | DOI: 10.30645/ijistech.v3i2.55

Abstract

Water content is the amount of water contained in an object, such as soil, agricultural materials, and others. Determination of the water content of a food is very important so that the processing and distribution process gets the right handling. Because if there is improper handling in the processing and determination of the wrong water content there will be damage to food that can be harmful to health. Therefore measuring the amount of water content in food is important. Android-based water level measurement is a tool that provides information on water content in food based on the Internet of Things. This tool is controlled by the Wemos D1 Mini microcontroller by using a Soil Moisture sensor whose output is displayed on the LCD and the android application "Blynk". Using an internet connection. The amount of water content will be displayed in the LCD and android application "Blynk" by producing temperature in the form of celsius and humidity in the form of numbers with percent from 0% to 100%, so we can see how much the level of water content is good.
Application of Lecturer Performance Index In Badan Penjaminan Mutu Lancang Kuning University Bayu Febriadi; Pandu Putra Pratama
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (762.494 KB) | DOI: 10.30645/ijistech.v3i2.56

Abstract

In the Badan Penjaminan Mutu of Lancang Kuning University (BPM) in processing the Lecturer Performance Index (IKD) data, it still uses manual data in data processing, so this causes many problems. Among them: delays in reporting, inaccurate data, the emergence of efficiency and effectiveness of the work, overlapping data, data archiving that is not good, and other problems that result in all aspects of the existing assessment. To be able to answer all of these challenges, the author intends to submit research making Compurterization-based Quality Assurance Services application, especially in online based lecturer performance index data processing. Its usefulness is to facilitate the academic community of Lancang Kuning University in conducting data processing of Lecturer Performance Index (IKD). and it is expected that with the computerized application of Quality Assurance Services will be more effective and efficient in working. This E-IKD was created using a Mobile / Web Service application. Several actors are directly integrated with the service of this system, such as: Unit Units in the University of Lancang Kuning, Assessors, Lecturers and Administrators. Implementation methodology uses case tools which are a computer-based product, aiming to support one or more software engineering activities or processes. The purpose of the case tools is to increase the speed of analysis of university leaders, provide information related to existing business processes, improve accuracy in evaluating performance, better documentation, and use by users who are still prime. In order to provide scientific group quality assurance services or expertise and management services. The purpose of this study is the application of E-IKD (Lecturer Performance Index) based on information technology as a medium of service for lecturers and as an evaluation medium for the Badan Penjaminan Mutu (BPM) in all Units in the Lancang Kuning University environment.
Software Testing on The Learning of Islamic Education Media Based on Information Communication Technology Using Blackbox Testing S Sutiah; S Supriyono
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (670.332 KB) | DOI: 10.30645/ijistech.v3i2.57

Abstract

Learning Media is a set of tools that can be helpful and complementary to teachers or educators to achieve a good and righteous learning process with the learners. The development of the learning media based on Information Communication Technology is excellent in the technological era and the millennial period because it can motivate students to learn. Learning materials can be through images, video, text, and other media. The following research is conducting software testing on Islamic religious education learning media using the BlackBox testing approach. The purpose of the study is the implementation of BlackBox testing in media learning Islamic education software. The results obtained showed pretty good results with software testing accuracy of 90%. This research suggests that BlackBox testing is capable of measuring software quality.
Tourism Destinations Popularity Rating In Malang Raya using Naive Bayes Classifier and Selection Sort Based on Twitter Word Polarity Yunifa Miftachul Arif; Mochammad Wahyu Firmansyah; Roro Inda Melani; S Supriyono
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (864.594 KB) | DOI: 10.30645/ijistech.v3i2.58

Abstract

The development of tourism today has been supported by advances in information technology that can make it easier for everyone to get information about tourist attractions. Technology plays an essential role in improving the tourism industry sector. During the tour, tourists usually share moments by uploading photos or making a status on social media related to their experience visiting a tourist site. Malang, which has various types of tourism, makes it a tourist destination. However, the number of tours in Malang makes tourists confused to choose the trip to be visited. Because of this, we need a system that can provide information in the form of popular tourist rankings. In this research, a system that can determine the ranking of tourist attractions in Malang Raya was made. The data used comes from social media user tweets on Twitter using the keyword name of tourist attractions in Malang. The Naive Bayes Classifier method is used to help tweet classification, and the Selection Sort method is used to help the ranking process of tourist attractions. The final results obtained in the Batu City tourism ranking resulted in an accuracy of 86.3%, while in the tourism rating the artificial type of Batu City produced an accuracy of 100%. The difference in accuracy occurs because there are the same positive values at several tourist attractions, so the Selection Sort method cannot work. Because of this, further research is needed for ranking methods that can rank with the same positive value to produce a better ranking of tourist attractions.
Simple Additive Weighting (SAW) Method on The Selection of New Teacher Candidates at Integrated Islamic Elementary School Rozi Meri
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (833.852 KB) | DOI: 10.30645/ijistech.v4i1.80

Abstract

A decision support system is a computer-based information system that produces various alternative decisions to assist management in dealing with various structured or unstructured problems using data or models, one of which is in the problem of recruiting new teachers so that decisions are made in the right direction. The research method used in this study is SAW (Simple Additive Weighting), which is one of the algorithms used for decision making. The SAW algorithm is also known as the weighted addition algorithm. This method requires a decision matrix normalization process (x) to a scale that can be compared with all available alternative ratings. The authors took a case study at SD IT Cinta Qur'an. SD IT Cinta Qur'an is one of the elementary schools managed by the As-Salam Ilal Jannah Foundation, which is located in Tanjung Balik Village, Solok Regency. The result of the calculation of the saw method is in the form of information that can be taken into consideration by the school in making decisions on new teacher selection. In this study, six candidates as samples with five criteria were used in the calculation of the SAW method to obtain the best candidate rankings to make decisions by ordering from maximum to minimum value. It can be concluded that the SAW method can be used to support decisions in the selection of new teacher candidates by building a decision support system modelling.
Diagnosis of Victims of Bullying Behaviour Using Bayes Method Hasugian, Abdul Halim; Furqan, Mhd.; Khairunnisa, K
IJISTECH (International Journal of Information System & Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (889.527 KB) | DOI: 10.30645/ijistech.v3i2.61

Abstract

Victims of bullying behavior in the first high school students are still going on and unresolved. Victims of bullying behavior that is not easily visible to the naked eye and the lack of knowledge about bullying are problems in resolving the problem. This research is to create an expert system that can diagnose victims of bullying behavior based on the symptoms suffered by the victims of bullying to address the problems faced during this time. The Bayes method describes the relationship between the probability of A with event B has occurred. The probability of event B on the condition of event A has occurred. The occurrence of an event based on the influence gained from the observation result, Like bullying symptoms that occur in victims of bullying behavior, the Bayes method will calculate the probability and generated types of bullying experienced by students based on the knowledge that is in the can of an expert and made into an application.
Decision Support System for The Selection of North Sumatra Atlet Drumband By Applying Elimination and Choice Translation Reality (ELECTRE) (Case Study: United States of Drumband Indonesia North Sumatra Region) Sunaryo, S; Silalahi, Natalia; Mesran, M; Nasution, Surya Darma; Ginting, Guidio Leonarde
IJISTECH (International Journal of Information System & Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (890.023 KB) | DOI: 10.30645/ijistech.v4i1.93

Abstract

Unity Drumband Indonesia (PDBI) Region of North Sumatra is an organizational body engaged in sports groups, which involves players in various musical instruments. In selecting players, PDBI North Sumatra through the committee to conduct strict selection, through a judging system with several stages of a rigorous process. From the selection of participants, compare each criterion one by one to get the best athletes. Implementation of decision support systems is expected to provide the right solution and can assist the jury in generating a decision. Thus the process of selecting athletes can produce a decision directly without a long time. So that accelerate the selection process of drum band athletes who will strengthen the team of North Sumatra. The Elimination and Choice Translation Reality (ELECTRE) method is required in decision support systems for the selection of drum band athletes who will strengthen the North Sumatra team.
Simple Additive Weighting on The Selection of Candidate Students in The Job Skills Training Program R Rayendra
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (651.247 KB) | DOI: 10.30645/ijistech.v4i1.74

Abstract

The Job Skills Training Program (JST) is an education and training service program that is oriented towards the development of job skills in accordance with industrial needs, given to students so that they have competence in certain skill areas as evidenced by a certificate of competence to work and be absorbed in the business and industry. Course institutions that receive assistance from this program often experience problems in the selection of potential candidates because the number of applicants is large enough to meet the same criteria while students are limited. The Simple Additive Weighting (SAW) method is one of the decision support methods used in this study to obtain alternative candidate students who match the criteria. From the results of calculations using the SAW Method, it is concluded that the SAW Method can be used to support decision making in the selection of JST Program candidates that produce the highest-ranking scores.
Implementation of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in Recommendations for New Position in Companies Mesran M; Eka Pratiwi Sumantri; Supriyanto S; Syafrida Hafni Sahir; Nelly Khairani Daulay
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (772.845 KB)

Abstract

This study aims to provide support to management in recommendations for promotion of employee promotions, with the aim of providing motivation to employees. The problem encountered at this time is the number of employees making it difficult for management to choose employees to recommend in promotions for promotions. In this research, the method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which is a fairly good method in ranking where the best alternative is the alternative that has the closest distance to the best alternative and far from the worst alternative. From the research results, it can be concluded that the A5 alternative is the best with a value of 0.748 and can be recommended in a new position promotion at the company.

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