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Sekretariat Forum Kerjasama Pendidikan Tinggi (FKPT) Jalan Sisingamangaraja No. 338, Medan, Sumatera Utara
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INDONESIA
JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
ISSN : -     EISSN : 2686228X     DOI : -
Core Subject : Science,
Artikel yang dimuat melalui proses Blind Review oleh Jurnal JOSH, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang teknologi dan informasi. Fokus Journal of Information System Research (JOSH)
Articles 754 Documents
Analisis Keamanan Website SMA Negeri 2 Sumbawa Besar Menggunakan Metode Penetration Testing (Pentest) Yudi Mulyanto; Mohammad Taufan Asri Zaen; Yuliadi Yuliadi; Safwan Sihab
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (634.244 KB) | DOI: 10.47065/josh.v4i1.2335

Abstract

Website security is becoming a very important aspect along with the increasing volume of data exchanged on the internet. High School 2 Sumbawa Besar provides information on a website, both information for school introductions or information related to schools can be through several media. Some time ago the school's website was attacked by information criminals who caused the appearance of the website to change and steal some important school data. Weak website security systems can be easy targets for cyber criminals. They know various ways to get into the website security system and perform various actions that can harm the organization. Based on the conditions that occurred on the school's website, a research was conducted to analyze the level of security and look for loopholes in the weaknesses of the High School 2 Sumbawa Besar website. In this analysis, researchers tested the school's website using the Penetration Testing method. Test is carried out in several stages, namely Footprinting, Scanning Fingerprinting, Exploit and Reporting. The process of testing the website security of High School 2 Sumbawa Besar found several loopholes that detected 13 sub-file vulnerabilities with low and medium status. Results of this study are the results of security testing in the form of a list of vulnerabilities that can be a recommendation for the school in improving website security.
Implementasi Metode Profile Matching Pada Sistem Pendukung Keputusan Seleksi Calon Ketua OSIS Amat Damuri; Herry Wahyono; Nuke L Chusna
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.158 KB) | DOI: 10.47065/josh.v4i1.2337

Abstract

OSIS is the highest organization in the school that functions to mobilize students to be able to contribute to various activities that support the school. To get the OSIS chairperson, it begins with the registration of candidate candidates, then continues with a meeting to determine the candidate for the OSIS chairman. This is considered ineffective because there are no special criteria, so it is not right on target. In addition, the selection process in this way takes a long time. The purpose of this study is to develop a decision support system to select a candidate for the OSIS chairman by using the profile matching method through the required criteria so that the process will be faster and more precise. The profile matching method has the ability to determine the assessment based on the existing attributes. Based on the calculation of profile matching manually and the system built shows the same results. Based on the case study, candidate 1 got a final score of 9.14 and candidate 2 got a final score of 9.215. The results of the assessment of test cases that have been filled in by system users get the system functions developed in accordance with the test criteria carried out. As for the results of black-box testing, the value is 100%, this means that the system is in accordance with the functions and needs.
Implementasi Metode Agile dalam Pengembangan Sistem E-document Dio Leonardo Alexandes; Randika Aditio; Yuwan Jumaryadi
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1089.108 KB) | DOI: 10.47065/josh.v4i1.2349

Abstract

Documents are very important in a company or agency because they store various information, both general and confidential. At the West Jakarta Sub-Department of Highways there are problems in document management, the increasing number of documents that are received or received creates a buildup in document storage. Document storage is also carried out using a special document warehouse as a place to store documents. This problem can be solved by creating an electronic document repository. For this reason, in this study, researchers created a document management application that can be used to store documents electronically to the West Jakarta Highways Sub-dept. The application development process is carried out using agile methods starting from the stages of planning, implementation, software testing (testing), documentation, deployment, and maintenance (maintenance). The resulting application also has several features such as document search, document graphics, the number of documents that have been inputted, project documents and access rights. Based on the usability questionnaire that has been given, the developed application can assist in managing documents, and assist in storing and searching data.
Penerapan Metode WASPAS Dalam Pemilihan Perguruan Tinggi Bagi Siswa Sekolah Juanda Hakim Lubis; Debi Gusmaliza; Mesran Mesran
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.405 KB) | DOI: 10.47065/josh.v4i1.2358

Abstract

There are so many high school students who do not understand their own criteria because they are confused about choosing the best college. So that most students choose colleges according to the interests of their friends, without finding out which colleges match their criteria. Not even a few of these students follow the directives of their parents. As a result of this, it causes major errors, regrets studying at these institutions and some even move and some even stop. Though each major is tailored to the wishes of students in the future. So that these problems can be solved, then a decision support system is made which will make it easier for students who want to continue to a bachelor's degree or diploma. There are many methods used in decision support systems, one of which is used in this study is the WASPAS method. The way WASPAS works is easy to reach, resulting in a sequence of universities and majors according to their respective criteria, starting from the highest to the lowest. After being applied with the WASPAS method, the final result is the best alternative in alternative A2 with a result value of 14,297.
Penerapan Algoritma Regresi Linier pada Prediksi Tarif Influencer Media Sosial Muhammad Riza Alifi; Hashri Hayati; Cholid Fauzi
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.283 KB) | DOI: 10.47065/josh.v4i1.2361

Abstract

The influencer industry has emerged as a result of social media disruption, and its members can affect audience interest in the goods and services being advertised. Because advertising performance on social media is more quantifiable than it is with traditional media, using influencer services is thought to be preferable. Influencer rates are often dependent on reach, engagement, and follower count. However, since there is no reference standard used in determining the prices, it could harm one of the parties. In order to reduce the impact of losses for both influencers in giving rates and clients in accepting rate offers, this study intends to propose a solution in the form of a machine learning-based influencer rate prediction model that can be used as a reference. The stages of this study are literature review, data gathering, pre-processing of the data, linear regression model development, and model evaluation. Five different models were produced as a result of this investigation. One of the best models has an MAE of 145401.484375, an MSE of 7.222241e+10, and an RMSE of 268742.250. These findings are affected by the hyperparameter learning rate of 0.001 and the epoch of 1,000. Most of the test data have not been completely represented by the model. The little number of datasets utilized for training, only 161 rows with 4 positively correlated attributes, is one of the reasons why the model is not really optimal. Nevertheless, from the standpoint of using a relatively small dataset, the model developed in this study is quite successful because several of the prediction results are fairly near to the real value, one of which is the prediction value with an error difference of βˆ’347.69.
Rancang Bangun REST API Aplikasi Sistem Informasi Gardu Distribusi berbasis Android dan Web Sofy Fitriani; Muhammad Rizqi Sholahuddin; Siti Dwi Setiarini
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (543.4 KB) | DOI: 10.47065/josh.v4i1.2362

Abstract

Today, the use of information systems is important, especially in archiving important data. Advances in technology have made conventional recordings begin to switch to digital. The case study in this research is to make an information system on one of the electric power systems, namely the distribution system. In this distribution system there is a substation that contains important components in the distribution of electricity from transmission to consumers. Generally, data collection at distribution substations uses manual recording on paper. This becomes less effective when it finds conditions of archiving data that have been in the past. Therefore, an application is designed that can help the authorities to record android-based data and websites. This information system is made using Rest API which facilitates communication via the internet. From the research that has been done, the performance between the mobile application and the website is good. Website performance produces applications on the web that have good results, namely 99, while Android is 93 from a maximum value of 100.
Penerapan Multi-Attribute Decision Making Menggunakan Metode WASPAS Pada Pemilihan Benih Sayuran I Gede Iwan Sudipa; Hamid Wijaya; Rhaishudin Jafar Rumandan
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.362 KB) | DOI: 10.47065/josh.v4i1.2368

Abstract

Optimizing the use of home yards is one of the efforts to improve food security in agriculture through vegetable cultivation. The number of vegetable seed products causes someone who will buy vegetable seeds to first seek information about each vegetable seed, thus taking a long time to make a decision. This study aims to implement the Multi-Attribute Decision Making (MADM) approach with Aggregated Sum Product Assessment (WASPAS) on a vegetable seed selection decision support system, in order to obtain the best alternative that suits your needs. The WASPAS method has the ability to solve multi-attribute by optimizing the assessment for selecting the highest and lowest values ​​in obtaining the best alternative. Based on the case studies conducted, the WASPAS method was able to determine the best vegetable seeds with the best alternative results, namely Known You Seed Brokoli F1 (A2) with a Qi value of 0.7854, then followed by an alternative to Infarm Benih Kangkung (A1) with a Qi value of 0, 7710, Daily Farm Sawi Putih (A3) with a Qi value of 0.7330, Mira Mentimun Hibrida F1 (A4) with a Qi value of 0.7225 and Benihpedia Daun Bawang (A5) with a Qi value of 0.5992. The developed system produces a valid WASPAS method, because the results are no different from manual calculations. In addition, the results of black-box testing show that the developed system has been running well.
Penerapan Optical Character Recognition Proses Registrasi Pasien Tes Covid-19 Berbasis Web I Putu Gede Abdi Sudiatmika; Ni Komang Hari Santhi Dewi; I Komang Okky Suardhana; Nyoman Pradipta Dewantara
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.815 KB) | DOI: 10.47065/josh.v4i1.2371

Abstract

Covid-19 cases in Bali in the period October to November 2020 experienced an increase which could cause hospitals to experience an increase in demand for health services. Hospitals are one of the most important departments during the Covid-19 pandemic. As a health service agency, the hospital must provide quality services to all levels of society who visit. In realizing optimal public health services, hospitals need a system that supports services to the community. In carrying out the Covid-19 test, the patient registers at the admission, the Nakes (Health Personnel) enters the patient's identity manually using the Microsoft Excel application. In the registration process, there are often discrepancies in the patient's name, date of birth, address and telephone number as well as other identities due to input errors. The large number of patients who register to do the Covid-19 test makes the Nakes (Health Personnel) take a long time, the time required to collect the data is 10 minutes and results in a queue buildup. To overcome this, applying Optical Character Recognition (OCR) can make it easier for Nakes (Health Personnel) to register and input KTP / KIS data automatically, thereby reducing patient data collection errors. Seeing this problem, from this research, a website was built by applying Optical Character Recognition (OCR) and the development method used was the Waterfall method and the suitability of the system built was tested using the black box testing method. This system gets a percentage of 79.4% which means both from admin and doctor respondents, and gets a percentage of 92.8% which means very good from user respondents (patients).
Perbandingan Algoritma K-Means Dan K-Medoids Pada Pengelompokan Humidity, Temperature, Dan Voltage Di Data Center Perawang Nanda Try Luchia; Mustakim Mustakim
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (450.938 KB) | DOI: 10.47065/josh.v4i1.2385

Abstract

A data center is a facility managed by a company for data storage (database) and telecommunications from all computer system components and needs. Monitoring the level of humidity, temperature, and voltage is needed to support the performance of the data center and can be done with AKCP. Because of that, it is necessary to group Humidity, Temperature and Voltage of Perawang DC to optimize the monitoring process. Various methods are used to make it easier for companies to determine the best grouping of performance data found in the data center. In this research, data was obtained from Systemlog AKCP PT. Arara Abadi, Perawang from January 21, 2022 – March 19, 2022. This research is expected to make it easier for companies to determine which algorithm is the right one for grouping air humidity, temperature and voltage levels in the Perawang data center by comparing two algorithms namely K-Means and K-Medoids. Based on the research results, K-Means is better in grouping the Humidity, Temperature and Voltage data of Perawang DC in PT. Arara Abadi, Perawang because it has accurate cluster accuracy compared to K-Medoids with a DBI value of 0.306 in the K=2 experiment and the process time is only 1 minute 22 seconds.
Pemanfaatan Augmented Reality Sebagai Media Pengenalan Atribut TNI Angkatan Darat Berbasis Android Rachmat Edy; Haida Dafitri; Septiana Dewi Andriana
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.973 KB) | DOI: 10.47065/josh.v4i1.2391

Abstract

Augmented Reality is an activity that combines the appearance of virtual and real objects (objects) in real life and at that time will also display 3D objects that we want to see in real time. The process of combining virtual and real objects using technology that continues to develop rapidly in the world of design, interactivity is aimed at the input devices needed to support the goals to be achieved. Augmented reality technology at the Indonesian Army Attributes application is an application that uses the Markerless method with the Pattern Matching technique to display augmented reality 3D objects at the Indonesian Army Attributes. This application system can help users, especially prospective students (cassis) to make it easier for prospective students (casis) to achieve their goals of becoming an Indonesian Army Soldier, starting from the recruitment level and selection of units on duty. This technology can guide users to directly view 3D Indonesian Army Attributes objects without having to browse, not to mention network constraints when accessed, which takes longer. This application system is based on Android and can be accessed and used offline.