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All Journal CESS (Journal of Computer Engineering, System and Science) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Informatika C.I.T. Medicom TIN: TERAPAN INFORMATIKA NUSANTARA Journal Social Science And Technology For Community Service KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Sisfotek Global Jurnal Satya Informatika Bulletin of Informatics and Data Science Smatika Jurnal : STIKI Informatika Jurnal
Rini Nuraini
Universitas Nasional
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Completion of Multi-Criteria Decision Making Using the Weighted Product Method on the Server Maintenance Vendor Selection System Rini Nuraini; Dedy Alamsyah; Ri Sabti Septarini; Alfry Aristo J Sinlae
Jurnal Teknik Informatika C.I.T Medicom Vol 14 No 1 (2022): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol14.2022.247.pp27-35

Abstract

For companies that use information systems or websites in their business activities, server maintenance is an important thing. For this reason, the selection of a server maintenance vendor is crucial. Vendor determination usually begins with gathering information and holding a leadership meeting based on the assumptions of the decision maker. But this method is time consuming and less objective. Vendor selection is a multi-criteria problem where each criterion has a different importance. This can be solved by using the Multi-Criteria Decision Making (MCDM) approach. Weighthet Product (WP) is one of the methods of solving MCDM. The purpose of this research is to develop a decision support system to determine the best maintenance vendor using the Weighted Product (WP) method. The system is built using a waterfall system development approach that starts from analysis, design, coding and testing. The developed system has the ability to manage alternatives, criteria, alternative assessments, calculations with WP, and displays the best alternative results with WP. From the results of black-box testing, it shows that the developed system can function and run well. In addition, the results of manual calculations with the system show the same results.
IMPLEMENTASI METODE LOAD BALANCING UNTUK PENINGKATAN NILAI TROUGHPUT PADA SERVER Rini Nuraini
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 9, No 3 (2022)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v9i3.524

Abstract

The rapid growth of the Internet today has led to a high number of users connecting to the service provider's servers. This condition certainly impacts the need for large server equipment; consequently, the server load continues to grow. This condition occurs due to the increasing number of accesses. Several sites have reported receiving hundreds of thousands of connection requests from multiple clients simultaneously. Of course, when a situation occurs where the number of clients accessing the service continues to increase, the server will experience severe problems if server cannot handle it. This condition often occurs on one server that receives excessive load; as a result, the service will stop. The purpose of this research is to focus on designing server systems that can handle ever-increasing requests by parsing the server load received. So that the service provider's server can continue to improve its services to its users. There are many methods to overcome these problems, one of which is the Load balancing method. The load balancing method distributes the incoming load to too many servers that provide services. The tests carried out have increased the throughput of the system. This was observed when the load balancing system was tested with 10,000 connections which resulted in average throughput of 11473.72 bps. As for the system without load balancing, the average throughput is 7236.6 bps. The test results show that the average throughput of the load balancing system is better than without load balancing, so the increase in system service performance can be continuously improved by implementing Load balancing.Keywords: Server Performance Improvement, Load balancing , ThroughputPertumbuhan Internet yang pesat saat ini, menyebabkan tingginya jumlah pengguna yang terhubung ke server penyedia layanan. Kondisi ini tentu berimbas pada kebutuhan peralatan server yang besar akibat dari beban server terus bertambah. Kondisi ini terjadi akibat meningkatnya jumlah akses. Sejumlah situs telah melaporkan menerima ratusan ribu permintaan koneksi dari beberapa klien secara bersamaan. Tentu saja, ketika terjadi situasi di mana jumlah klien yang mengakses layanan terus meningkat, server akan mengalami masalah serius jika server tidak dapat menanganinya. Kondisi tersebut sering kali terjadi pada satu server yang menerima beban secara berlebihan, akibatnya layanan akan terhenti. Tujuan dari penelitian ini adalah fokus terhadap perancangan dan sistem server yang memiliki kemampuan dalam menangani permintaan yang terus meningkat, dengan mengurai beban server yang diterima. Sehingga server penyedia layanan dapat terus meningkatkan layanannya terhadap penggunanya. Terdapat sejumlah metode agar permasalahan tersebut dapat diatasi, salah satunya adalah menggunkan metode Load balancing. Metode Load balancing bekerja dengan cara mendistribusikan beban yang masuk ke sejumlah server yang menyediakan layanan. Pengujian yang dilakukan telah meningkatkan throughput pada sistem. Hal ini terpantau pada saat sistem Load balancing diuji dengan 10.000 koneksi yang menghasilkan rata-rata throughput sebesar 11473.72 bps. Sedangkan untuk sistem tanpa Load balancing, rata-rata throughput sebesar 7236.6 bps. Dari hasil pengujian tersebut maka dapat disimpulkan bahwa rata-rata throughput dari sistem Load balancing lebih baik dibanding tanpa Load balancing. Sehingga peningkatan kinerja layanan sistem dapat terus ditingkatkan dengan penerapan Load balancing.Kata kunci: Peningkatan Kinerja Server, Load balancing, Throughput
Sunflower Image Classification Using Multiclass Support Vector Machine Based on Histogram Characteristics Rini Nuraini; Rachmat Destriana; Desi Nurnaningsih; Yeni Daniarti; Allan Desi Alexander
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 1 (2023): February 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i1.4673

Abstract

Sunflower is an important commodity in agriculture, besides being used as an ornamental plant, sunflower is an oil-producing plant and a source of industrial materials. In Indonesia, sunflower productivity is considered less than optimal, because knowledge and information about sunflowers are still lacking. Therefore, information is needed that can be used as an extension of knowledge about sunflowers itself, especially in Indonesia, which is a tropical region which is an area suitable for the growth of sunflowers. Sunflowers can actually be identified based on recognizable traits. However, the similar shape makes it difficult for some people to distinguish the types of sunflowers. This study aims to classify sunflower images using a first-order feature extraction algorithm using the characteristics of mean, skewness, variance, kurtosis, and entropy which are then used as input to the Multiclass SVM identification algorithm. Data points are mapped to dimensionless space using a Multiclass SVM to produce hyperplane-linear separation between each class. Based on the results of testing the accuracy of the model is able to perform classification with an average accuracy of 79%. These results show that the developed model can classify well.
Implementasi Euclidean Distance dan Segmentasi K-Means Clustering Pada Identifikasi Citra Jenis Ikan Nila Rini Nuraini
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 1 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i1.551

Abstract

Tilapia is one of the favorite fish for consumption because it contains high nutrition at a relatively low price. This is what makes fish cultivators in Indonesia choose tilapia for cultivation. Tilapia has several varieties that have different characteristics, thus affecting the way of handling and cultivating these fish. For this reason, tilapia cultivators need to have knowledge about the types of tilapias so they can cultivate based on the characteristics of these fish species. This study aims to implement the Euclidean Distance algorithm and image segmentation with K-Mean Clustering on image identification of tilapia species based on their shape and texture characteristics. The K-Mean Clustering algorithm is used to separate the foreground and background in the image. Furthermore, the object's characteristics will be extracted based on its shape and texture characteristics. Furthermore, the identification process is carried out using the Euclidean Distance algorithm which will look for similarity values between two or more by calculating the value of the distance from Euclidean, to determine whether the object is included in which class based on the closeness of the values obtained. Based on the test results, the accuracy value reached 84.3%. These results show that the developed model can identify tilapia species well
Pelatihan Pengenalan Teknologi Informasi dan Komunikasi Untuk Meningkatkan Pengetahuan dan Wawasan Pada SMPN 7 Purwakarta Rini Nuraini
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 4, No 1 (2023): Volume 4, Nomor 1, March 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v4i1.2657

Abstract

Pada perkembangan teknologi saat ini segala aktivitas manusia tidak luput dari Teknologi Informasi dan Komunikasi (TIK), hal ini dikarenakan TIK dapat membantu segala aspek bidang dalam kehidupan manusia. Untuk itu, menjadi suatu hal yang penting untuk dapat mengenal, memahami dan mempelajari TIK. Permasalahan utama mitra yakni hasil dari evaluasi dari pembelajaran daring yang telah dilalui menunjukkan bahwa tidak semua siswa dan siswi SMPN 7 Purwakarta mengenal dan mengetahui terkait TIK. Terlebih dalam penggunaan perangkat komputer, terdapat beberapa siswa yang tidak dapat menggunakannya. Walaupun saat ini pandemi sudah berlalu dan pembelajaran tatap muka telah diberlakukan, namun pengetahuan dan wawasan tentang penggunaan serta pemanfaatan TIK menjadi penting bagi siswa dan siswi SMPN 7 Purwakarta. Dari permasalahan tersebut, maka pada pengabdian kepada masyarakat ini mengusulkan solusi berupa pelatihan pengenalan Teknologi Informasi dan Komunikasi (TIK) untuk meningkatkan pengetahuan dan wawasan siswa SMPN 7 Purwakarta. Pada pelaksanaan kegiatan berdasarkan observasi yang dilakukan terlihat antusiasme dari peserta dalam mengikuti materi. Berdasarkan hasil evaluasi menunjukkan rata-rata nilai Pra-Test yaitu 72 %, sedangkan untuk rata-rata nilai Post-Test yaitu 92 %. Dari hasil tersebut menunjukkan peningkatan pengetahuan dan wawasan setelah peserta mengikuti pelatihan sebanyak 20 %.
Implementation of Self-Organizing Map (SOM) Algorithm for Image Classification of Medicinal Weeds Hendra Mayatopani; Nurdiana Handayani; Ri Sabti Septarini; Rini Nuraini; Nofitri Heriyani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4755

Abstract

Wild plants or weeds often become enemies or disturb the main cultivated plants. In its development, wild plants or weeds actually have ingredients that are beneficial to the body and can be used as medicine. However, many people still need knowledge about the types of weed plants that have medicinal properties, especially the leaves. The purpose of this research is to classify the image of weed leaves with medicinal properties based on color and texture characteristics with an artificial neural network using a Self-Organizing Map (SOM). To improve information in feature extraction, RGB and HSV color features are used as well as texture features with Gray Level Co-occurrence Matrix (GLCM). Furthermore, the results of feature extraction will be identified as groups or classes with the Self-Organizing Map (SOM) algorithm which divides the input pattern into several groups so that the network output is in the form of a group that is most similar to the input provided. The test produces a precision value of 91.11%, a recall value of 88.17% and an accuracy value of 89.44%. The results of the accuracy of the SOM model for image classification on medicinal weed leaves are in the good category.
RANCANG BANGUN ROBOT LINE FOLLOWER PEMADAM API BERBASIS MIKROKONTROLLER ATMEGA 16 Rini Nuraini
JURNAL SATYA INFORMATIKA Vol. 5 No. 01 (2020): SATYA INFORMATIKA
Publisher : FAKULTAS TEKNIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.112 KB) | DOI: 10.59134/jsk.v5i01.43

Abstract

The fire area is not always in an easily accessible place, under certain conditions, there are times when it is not possible for humans to extinguish fires in the event of a fire, so certain smarter devices need to have the ability to detect and extinguish fires, namely Fire Extinguisher Robot. Robot Line Follower Fire Extinguisher designed by the author, works walking to find hotspots, if the sensor gets hot temperatures or hotspots, then the ic microcomtroller stops the dc motor, then another dc motor will be active to turn on the fan or fan. The method in this paper begins with designing a robot using the Proteus 8 simulator, making a robot, finally conducting a test and measurement. This study uses three dc motors, one dc motor to simulate the open lid or activate a fan or fan, two dc motorsto run the robot. The output of this robot is a line follower robot that serves to extinguish the fire
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

Abstract

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.
Implementation of Weight Aggregated Sum Product Assessment (WASPAS) on the Selection of Online English Course Platforms Rini Nuraini; Nunik Yudaningsih; Nurhasan Nugroho
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 2 (2023): July 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i2.48929

Abstract

Melalui perkembangan teknologi, berdampak pada dunia pendidikan dengan hadirnya pembelajaran yang dapat dilakukan secara online. Tidak terkecuali pada pembelajaran Bahasa Inggris, yang banyak memunculkan lembaga belajar atau kursus yang membuka kelasnya secara online melalui platform atau aplikasi yang mereka kembangkan. Dalam menentukan plaform kursus bahasa inggiris online pengguna harus mengetahui satu per satu profil dan program yang ditawarkan. Cara ini tentunya akan dibutuhkan waktu yang lama untuk menetapkan pilihan. Tujuan dari penelitian ini yaitu menerapkan pendekatan Weight Aggregated Sum Product Assessment (WASPAS) untuk menentukan platform kursus Bahasa Inggris yang mudah dan cepat. Metode WASPAS dapat digunakan untuk penetapan prioritas pada pilihan alternatif yang memiliki relevansi dengan bobot yang diterapkan. Berdasarkan studi kasus yang diselesaikan dengan pendekatan WASPAS mendapatkan hasil alternatif terbaik yaitu English Academy (A5) dengan nilai 0,7629. Sistem pendukung keputusan yang dibangun telah mendapatkan nilai yang valid, hal ini karena hasilnya tidak berbeda dengan perhitungan manual. Untuk pengujian melalui usability testing memperoleh nilai rata-rata sebesar 86% dan masuk pada kategori baik.Through technological developments, it has had an impact on the world of education with the presence of learning that can be done online. Learning English is no exception, as many learning institutions or courses open their classes online through the platforms or applications they develop. In determining the online English course platform, the user must know one by one the profiles and programmes offered. This method, of course, will take a long time to make a choice. The purpose of this study is to apply the Weight Aggregated Sum Product Assessment (WASPAS) approach to determine an easy and fast English course platform. The WASPAS method can be used for setting priorities for alternative choices that have relevance to the weights applied. Based on case studies that were completed using the WASPAS approach, the best alternative result was English Academy (A5) with a score of 0.7629. The decision support system built has obtained a valid value because the results are no different from manual calculations. For testing through usability testing, it obtains an average value of 86% and is included in the good category.
Implementation of the Composite Performance Index and Rank Order Centroid Weighting Methods in E-Wallet Selection Susana Dwi Yulianti; Rini Nuraini; Arisantoso Arisantoso; Mursalim Tonggiroh
JURNAL SISFOTEK GLOBAL Vol 13, No 2 (2023): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v13i2.9720

Abstract

Nowadays, e-wallets have become a popular alternative for non-cash financial transactions. More and more e-wallet companies and service providers are emerging with various features and benefits. To determine the choice of using an e-wallet, users must know each e-wallet's various features and services; of course, this takes time and makes it difficult for decision-makers. This research aims to implement the Composite Performance Index (CPI) and Rank Order Centroid (ROC) approaches in a decision support system for choosing an e-wallet to produce easy and fast decisions. The ROC method is used to determine the weight value based on the order of importance of the criteria. Meanwhile, the CPI approach has the ability to combine information from various criteria into one index and evaluate differences in criteria to obtain alternative rankings. This research produces a website-based DSS application that recommends the best alternative by displaying alternative rankings. The system built produces valid calculation output; this is proven by the results of calculations by the system and manual calculations showing the same results. For software testing with usability testing, an average value of 86% was obtained. This means that the software developed is feasible to implement and considered easy to use.
Co-Authors Adi Wibowo Akhmad Jayadi Alexander, Allan D Alfry Aristo Jansen Sinlae Anisah Ulfah Arisantoso Arisantoso Bagas Apriandadwi Putra Bayu Setyo Prayogi Budi Warsito Daniarti, Yeni Dedy Alamsyah Denis Taslim Destriana, Rachmat Fadllurrohman Fadllurrohman Fauzan Muhammad Fryda Fatmayati Ilham Wahyudi Siadi Indra Jaya Iskandar Fitri M Iwan Wahyuddin M. Hadi Prayitno Mayatopani, Hendra Muhammad Faiz Syafii Murien Nugraheni Mursalim Tonggiroh Nofitri Heriyani Norfaizah Norfaizah Nunik Yudaningsih Nurdiana Handayani Nurhasan Nugroho nurnaningsih, Desi Petrus Jacob Pattiasina Ramadhan Lukman Ri Sabti Septarini Savanah Sekar Arum Syam Ramadhan Wahyul Amien Syafei Yusra Fernando