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Detection Coronavirus using Cased-Based Reasoning with Extended Jaccard Coefficient Murien Nugraheni
IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i1.112

Coronavirus Disease 2019 or known as COVID-19 is a new disease that can cause respiratory problems and pneumonia. This disease is caused by infection with Severe Acute Respiratory Syndrome Me Coronavirus 2 (SARS-CoV-2). Some of the clinical symptoms that appear vary, ranging from symptoms such as influenza, cough, cold, throat pain, muscle aches, headaches to those with serious complications such as pneumonia or sepsis. This research to build case-based reasoning for early detection of COVID-19 by looking at the characteristics of clinical symptoms seen in a person using the Extended Jaccard Coefficient method. The results show case-based reasoning for early detection of COVID-19 using the Extended Jaccard Coefficient method can model the level of similarity of a new case to an old case.

Detection Coronavirus using Cased-Based Reasoning with Extended Jaccard Coefficient Murien Nugraheni
IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Coronavirus Disease 2019 or known as COVID-19 is a new disease that can cause respiratory problems and pneumonia. This disease is caused by infection with Severe Acute Respiratory Syndrome Me Coronavirus 2 (SARS-CoV-2). Some of the clinical symptoms that appear vary, ranging from symptoms such as influenza, cough, cold, throat pain, muscle aches, headaches to those with serious complications such as pneumonia or sepsis. This research to build case-based reasoning for early detection of COVID-19 by looking at the characteristics of clinical symptoms seen in a person using the Extended Jaccard Coefficient method. The results show case-based reasoning for early detection of COVID-19 using the Extended Jaccard Coefficient method can model the level of similarity of a new case to an old case.

Pelatihan Pembuatan Simulasi Jaringan Komputer Dengan Gns3 Dan Cisco Packet Tracer Kepada Para Guru SMKS Yapinuh Muara Gembong Kabupaten Bekasi Jawa Barat Ali Idrus; Lipur Sugiyanta; Murien Nugraheni; F Fahrurrozi; Olifvia Afrillazhary; Zahwa Putri Rahmayani
Jurnal TUNAS Vol 4, No 1 (2022): Edisi November
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jtunas.v4i1.76

In fulfilling the competence of Computer Network Engineering (TKJ) students in learning materials, it is not enough just to use theory but must be accompanied by practicum in the laboratory. Practicum aims to prove the theory learned in class. To support the practicum in the laboratory, hardware is needed such as a number of computers and computer network building components. Due to limited school resources due to the high cost of these devices, this is a separate problem that currently exists. The SMKS Yapinuh school laboratory for the TKJ study program is required to be active in developing a practicum model that can be a solution to the limitations of the availability of practicum equipment. To overcome these problems, namely by mastering computer network simulation software such as GNS3 and Cisco Packet Tracer which can fully represent the original network hardware functionality so that the limitations of providing computer network lab equipment can be overcome. Cisco packet tracer can display network simulation with topology display and hardware visualization so that it can be used as a computer network simulation and design tool. GNS3 allows detailed and complete network simulation, because it can run virtualization of the original operating system of network devices such as Mikrotik, Cisco and Juniper routers. So it's like being in a more real condition in configuring the router directly. This network simulator software training is expected to improve the understanding and skills of TKJ SMKS Yapinuh teachers in providing alternative learning facilities in the form of network simulations that can display hardware virtualization and computer operating systems and routers. so that the practicum process can be more interesting, interactive, shorten learning time and improve the quality of learning outcomes.

Pengembangan User Interface Aplikasi Promosi Umkm Kelurahan Bukit Duri Melalui Pendekatan User Experience Dengan Metode Lean Ux Yang Berbasis Android Muhammad Adryan Hartono; Hamidillah Ajie; Murien Nugraheni
Jurnal Sarjana Teknik Informatika Vol 11, No 1 (2023): Februari
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v11i1.25793

Pandemi Covid-19 memberikan dampak negatif kepada Usaha Mikro Kecil dan Menengah (UMKM), seperti UMKM Kelurahan Bukit Duri yang merasakan bahwa pendapatan menurun. Perlahan-lahan jumlah UMKM berkurang karena gulung tikar. Promosi merupakan salah satu upaya yang dapat menjaga UMKM tetap hidup. Maka dari itu, akan dibuat sebuah aplikasi promosi UMKM berbasi android untuk daerah Kelurahan Bukit Duri, Tebet, Jakarta Selatan. Di dalam pengembangan user interface aplikasi promosi UMKM Kelurahan Bukit Duri ini menggunakan metode Leam UX. Perancangan user interface sesuai dengan karakteristik pengguna, selanjutnya efektifitas pengguna diuji dengan current thinking aloud testing. Persentase keberhasilan penguji untuk konsumen dan pemilik UMKM sebesar 97,20% dan mendapatkan respon positif. Hasil pengujian dapat disimpulkan hipotesis yang dirancang dapat memenuhi pengguna dengan baik.

MULTIPLE-CRITERIA DECISION ANALYSIS MENGGUNAKAN COMPOSITE PERFORMANCE INDEX PADA SISTEM PEMILIHAN IP CAMERA Murien Nugraheni; Fryda Fatmayati; Rini Nuraini; Mokhammad Hadi Prayitno
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 7 No 1 (2023)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v7i1.3153

IP Camera is a camera used for monitoring and security with the ability to transmit images over a network connected to the internet protocol. To choose an IP camera, users must know product performance and specifications, so it takes time in the selection process. The purpose of this study is to apply the Multiple-Criteria Decision Analysis (MCDA) approach with the Composite Performance Index (CPI) method in determining the best IP camera. The CPI approach can obtain the best option by assessing the combined index and then sorting it from the highest to the lowest value. From the case studies that have been carried out, the best alternative is obtained, namely Dahuan IMOU Bullet 2C (A4) with a value of 145, then Xiaomi Security Camera 2K (A3) with a value of 140, Bardi Smart Outdoor Static IP Camera (A2) with a value of 130 and EZVIZ C6N (A1) with a value of 105. These results are the same as the output obtained on the built DSS, this means that the system calculation results can be said to be valid. Based on the evaluation results through black-box testing, it shows that all the functions of the existing features can work properly.

MULTI-CRITERIA DECISION ANALYSIS USING COMPLEX PROPORTIONAL ASSESSMENTS AND RANK ORDER CENTROID METHODS IN THE SELECTION SYSTEM FOR TUTORING INSTITUTIONS Fryda Fatmayati; Rini Nuraini; Murien Nugraheni; Teotino Gomes Soares
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.1340

Tutoring can help increase students' self-confidence, reduce anxiety about tests or assignments, and overcome learning barriers. The large number of tutoring institutions that offer various programs makes parents or students have to be observant when choosing them. To choose a tutoring institution, parents or students must know all the profiles and programs of the institution to be selected. This creates a difficult and long time to come up with a choice. The purpose of this study is to use the Multi Criteria Decision Analysis (MCDA) approach through the Complex Proportional Assessment (COPRAS) method and the Rank Order Centroid (ROC) method to create a Decision Support System (DSS) that will make it easier to choose a tutoring institution. The ROC approach serves to determine the weight based on the order of importance of the criteria. The COPRAS method is used because this method takes utility into account by assessing the usefulness of each alternative. This research produced a web-based tutoring institution selection DSS that can provide alternative recommendations based on criteria determined by decision-makers. The results of system calculations and manual calculations do not show a different value, which shows that the system produces a valid COPRAS approach value. Based on the results of usability testing, the built DSS scored 89.17%; in other words, the system is feasible to use.

Pelatihan Pemanfaatan Google Data Studio Untuk Visualisasi Data Bagi Para Guru SMKS Yapinuh Muara Gembong Kabupaten Bekasi Jawa Barat Ali Idrus; Lipur Sugiyanta; Murien Nugraheni; Egan Alif Zanetti; Rosa Aulia Nisa; Syalva Syadila
Jurnal TUNAS Vol 5, No 1 (2023): Edisi November
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jtunas.v5i1.104

This Community Service (PkM) was carried out at the Yapinuh Muara Gembong Private Vocational High School (SMKS) in the form of training for teachers and administrative staff on the use of google data studio to visualize data at SMKS Yapinuh online. Currently, the data in SMKS Yapinuh is still stored on computer devices owned by SMKS Yapinuh, but the data has not been able to provide information to school residents and the community directly. If school residents or the community want to get information related to data at SMKS Yapinuh, they must go through staff first because of their limited access rights. The existing data is also still in the form of raw data and the data display is less attractive. Therefore, a medium is needed that can overcome this. In this service, we will provide a solution by utilizing Google Data Studio to visualize data to make it more interesting so that it can be displayed on the SMKS Yapinuh website. The training method is carried out in a hybrid manner (online and offline) using Google Data Studio media as data visualization software. This Community Service Program (PkM) will focus on teachers and staff at SMKS Yapinuh. This PKM program will be guided directly by the service program proposal team. This PkM program aims to produce good quality information services by utilizing the application. So that SMK Yapinuh can be helped in the process of visualizing data and displaying it online.

Development of Academic Information System Mobile Application Prototype at SD Inpres Touiu, Rote Vienda Miccela Seldry; Hamidillah Ajie; Murien Nugraheni
Journal of Computers for Society Vol 5, No 2 (2024): JCS: September 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v5i2.70801

In era society 5.0, where technology is generally a supporting factor in many ways, it turns out that there are still some aspects that have not taken advantage of existing technology. For example, Inpres Touiu Elementary School, Rote in providing information is still done manually, such as the recipient of the information coming directly to the location of the information or information being delivered by the school to the recipient of the information such as the teacher coming directly to the house of each student. The purpose of this research is to produce a prototype of an Android-Based School Academic Information System with a Case Study of SD Inpres Touiu, Rote which is useful in providing an information system design in the form of a front-end, so that in the future it can be redeveloped into a real android application. The results of the development in the form of a high-fidelity prototype using the Flutter framework with the Waterfall Method resulted in the SIKALA prototype being tested for Usability Testing using Black box testing and the Think-aloud method. The results of the test got 94% good response and 100% overall task success.

Pengenalan Landmark Pariwisata di Kulon Progo Berbasis Augmented Reality ika arfiani; Murien Nugraheni; Muhammad Dzikrullah Suratin
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 4 No 3 (2023)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.4.3.142

The tourism sector in Kulon Progo is showing a decline in terms of regional tourism development. The causative factor is the promotion that has not been able to maximize the availability of information technology. Several unmanaged tourist attractions such as Pringtali Temple, Lawangsih Cave and Kiskendo Cave. Disadvantages that make tourism objects less accessible to tourists include difficult access roads, uphill and steep terrain, damaged roads, and the lack of street lighting. Then an AR-based tourism introduction application was made. The method used is the Multimedia Development Lifecycle (MDLC) starting from the creation of the application concept, design, collection of materials, system implementation, and testing. This research produces an application based on Augmented Reality (AR) regarding the Introduction of Tourist Attractions in Kulon Progo which has been tested with an assessment percentage of 76.9%, which means the application is acceptable.

K-anonymity Menggunakan Simple Distribution of Sensitive Values dan Aggregation of Sensitive Values Widodo Widodo; Muhammad Ficky Duskarnaen; Murien Nugraheni
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 2 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i2.8798

Anonymizing microdata is a matter while the microdata is published or shared. The purpose of anonymization is sothat sensitive data will not be known by unauthorized parties either directly or indirectly. The technique that is widely used isgeneralization and suppression in the k-anonymity model, however, this technique has the disadvantage that the level of information loss is quite high. In addition, the generated microdata representation due to anonymization is too large, thus it needs to be simplified. In this research, an anonymity model is built using a sensitive attribute distribution technique, namely Simple Distribution of Sensitive Values (SDSV). The main purpose of this method is to reduce the probability of unauthorized parties guessing the owner of sensitive data. Meanwhile, to simplify the representation of the microdata, the aggregative of sensitive value (ASENVA) technique is applied. The result shows that the SDSV metho has less information loss compared to others, while the use of ASENVA simplifies the representation of anonymized tables to an average of 13.67% for aggregated quasi-identifier tables and 6.35% for sensitive tables.

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