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All Journal Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA IKRA-ITH Informatika : Jurnal Komputer dan Informatika Journal Information System Development IJISTECH (International Journal Of Information System & Technology) Building of Informatics, Technology and Science Jurnal Mantik REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer Networks, Architecture and High Performance Computing IJISTECH DEVICE Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Pengabdian Kepada Masyarakat Jurnal Inkofar Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi SATIN - Sains dan Teknologi Informasi Journal of Data Mining and Information Systems

Romindo

Universitas Pelita Harapan, Jakarta

Author-ID : 1197483

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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ANALISA PERBANDINGAN METODE ANP DAN SAW DALAM MENENTUKAN MAHASISWA TERBAIK: ANALISA PERBANDINGAN METODE ANP DAN SAW DALAM MENENTUKAN MAHASISWA TERBAIK Romindo Romindo
Jurnal Mantik Vol. 3 No. 1 (2019): May: Manajemen dan Informatika
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.496 KB)

Perkembangan teknologi perangkat keras dan perangkat lunak saat ini sangat pesat, dan bahkan metode komputasi juga ikut berkembang. Salah satu metode komputasi yang cukup berkembang saat ini adalah metode Sistem Pendukung Keputusan (SPK). Dalam teknologi informasi, sistem pendukung keputusan merupakan cabang ilmu yang letaknya diantara sistem informasi dan sistem cerdas. Sistem pendukung keputusan telah banyak diterapkan untuk mendukung pengambilan keputusan suatu masalah dan beragam metode digunakan, yaitu SAW, Promethee, ANP, TOPSIS, GAP, Fuzzy Logic, dan lain-lain. Pada proses pemilihan mahasiswa terbaik merupakan permasalahan yang melibatkan banyak komponen atau kriteria yang dinilai (multikriteria), sehingga dalam penyelesaiannya diperlukan sebuah sistem pendukung keputusan dengan multikriteria. Diantara banyaknya metode pada sistem pendukung keputusan, maka dibutuhkan metode mana yang terbaik dalam menentukan mahasiswa terbaik di Politeknik Ganesha Medan.

Implementation of Combination Vigenere Cipher and RSA in Hybrid Cryptosystem for Text Security J Jamaludin; R Romindo
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

According to the key used, cryptography can be divided into two, namely: symmetric cryptography and asymmetric cryptography, each of which has advantages and disadvantages. The selection of asymmetric cryptographic algorithm can perform the encryption process in a short time, but the key security is less secure, so it must be changed frequently. While asymmetric cryptography is the opposite, the security of key distribution can be overcome, but the data encryption process is slower. The coding process in this study uses two cryptographic algorithms, namely the Vigenere Cipher algorithm as an example of the symmetric algorithm and the RSA (Rivest Shamir Adleman) algorithm which is an example of an asymmetric algorithm. The purpose of this research is to calculate and implement so that it can be applied to overcome the weaknesses that occur from the two types of cryptography. The hybrid cryptosystem coding method is always used to overcome the weaknesses of the two cryptographs. The results show that there is an increase in security in encryption because there will be two encodings, namely message encoding with the Vigenere Cipher cryptographic algorithm and key coding with the RSA cryptographic algorithm. Besides, there is an increase in the time in the encryption and decryption process. From the results of the research, it takes 424 milliseconds in the encryption process and 335 milliseconds for the decryption process with 59,400 characters. A hybrid cryptosystem coding method using a combination of Vigenere Cipher and RSA can be implemented to increase text security and increase speed in the encryption process.

Penerapan Algoritma Hybrid RSA Terhadap Pembangkit Kunci Diffie Hellman untuk Sistem Keamanan Romindo; Ferawaty
SATIN - Sains dan Teknologi Informasi Vol 7 No 2 (2021): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Dalam dunia kriptografi, kunci untuk mengenkripsi dan mendekripsi pesan rahasia adalah salah satu yang paling penting. Kunci tersebut menentukan apakah ciphertext dapat dibaca atau tidak. Rahasia kunci sebenarnya adalah sesuatu yang mungkin lebih esensial dan penting daripada rahasia ciphertext itu sendiri, dalam arti pesan ciphertext bisa dibocorkan tapi kuncinya tidak bisa diungkap. Tujuan penelitian ini membahas tentang implementasi sistem keamanan data dengan metode algoritma hybrid Rivest Shamir Adleman (RSA) pada pembangkit kunci Diffie Hellman. Kombinasi suatu algoritma kriptografi kunci publik ke dalam algoritma pertukaran kunci Diffie Hellman yang digunakan untuk algoritma kunci simetri merupakan hal yang menarik. Dalam hal ini, algoritma kriptografi kunci publik yang digunakan untuk memperkuat algoritma pertukaran kunci Diffie-Hellman adalah RSA. RSA digunakan dengan alasan tingkat keamanannya sangat tinggi dari sekian banyak kemungkinan kombinasi algoritma. Pada kombinasi algoritma RSA sangat bermanfaat dalam proses pertukaran kunci dan dengan kombinasi algoritma Diffie Hellman bisa memberikan hasil pada kombinasi kedua metode tersebut sehingga keamanan data jadi lebih terjaga dan memberi tingkat kesukaran pada kunci menjadi lebih rumit serta kompleks juga membuat kunci tersebut sulit untuk dipecahkan oleh penyadap dengan hasil perhitungan nilai kunci simetris yang didapatkan oleh Alice dengan nilai kunci simetris key x = yx mod q = 805599 mod 1444 = 961 dan Bob dengan nilai kunci simetris Key y = x4 mod q = 599805 mod 1444= 961.

Penerapan Algoritma Apriori Terhadap Perancangan Sistem Informasi Dalam Analisis Penjualan Bahan Bangunan Romindo
SATIN - Sains dan Teknologi Informasi Vol 8 No 1 (2022): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Perusahaan yang bergerak di bidang distributor bahan bangunan dengan bahan utama besi, seperti toko bangunan. Perusahaan melakukan pencatatan data transaksi penjualan produk yang dilakukan oleh pelanggan melalui software pengolah kata. Perusahaaan tentunya membutuhkan sebuah sistem analisis yang dapat digunakan dalam menunjang proses pengambilan keputusan. Data-data perusahaan yang tercatat setiap bulannya tentunya sangat banyak dan akan menjadi data yang tidak berguna apabila tidak diolah dan dianalisis dengan baik. Salah satu cara untuk melakukan analisis terhadap sekumpulan data menjadi pengetahuan adalah melalui teknik data mining. Algoritma Apriori adalah salah satu algoritma data mining yang dapat digunakan pada penerapan market basket analysis (analisis keranjang belanja) untuk mencari aturan-aturan asosiasi yang memenuhi batas support dan confidence. Dengan itemset, seperti: Hollow Nill 20 x 20 x 0,55 total transaksi 2, Nako 10.7 x 10.7 Polos x 2,75M total transaksi 5 dan Nako 10.7 x 10.7 x 2.75M Ulir total transaksi 3, maka hasil analisis data penjualan Toko Bangunan dengan total data penjualan sebanyak 292 invoice mendapatkan nilai minimum support tertinggi yaitu 5% dan menghasilkan rule berjumlah 2. Minimum confidence tertinggi yaitu 100% dan menghasilkan rule berjumlah 3. Panjang itemset yang terbentuk yaitu 2-itemset dan 3-itemset.

Penerapan Algoritma Adaptive Response Rate Exponential Smoothing Terhadap Business Intelligence System Romindo Romindo; Jefri Junifer Pangaribuan; Okky Putra Barus
Building of Informatics, Technology and Science (BITS) Vol 5 No 2 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i2.3955

PT. XYZ is one of the companies in the field of furniture sales by offering its flagship product, namely spring bed. The company's business continues to grow every year, of course, the company must be able to complete its work quickly and precisely. One of the main problems of the company is that the increase in company sales is still not able to cover the company's expenses and sometimes the company still suffers losses. This happens because companies often make mistakes in purchasing product inventory stock. Not all types of spring beds sell well, so sometimes purchases are made of the type of spring bed that is not selling well, which results in stock accumulation and instability of the company's cash inflow and outflow. In this study, a Business Intelligence System was built, which is a form of information technology implementation to store, collect and analyze data into knowledge so that it can be used as prediction results. The prediction algorithm used in this research is the Adaptive Response Rate Exponential algorithm. The expected goal of this research is to build a Business Intelligence System that can calculate product sales predictions in the following month using the Adaptive Response Rate Exponential Smoothing (ARRES) algorithm. Based on the results of the MAPE test, it can be concluded that the percentage of prediction accuracy from the ARRES algorithm on the sales transaction data of PT. XYZ is 53.33% which is categorized as quite accurate and the percentage of prediction error from the ARRES method is 46.67% which is categorized as reasonable

Implementasi Algoritma Support Vector Machine Terhadap Klasifikasi Pose Balet Romindo, Romindo; Barus, Okky Putra; Pangaribuan, Jefri Junifer; Pratama, Yudhistira Adhitya; Wiliem, Evelyn
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2647

Ballet is considered as one of the most difficult dance due to its technical posture demanded. If performed without guidance it may cause bad posture to ballerina and some serious injuries. A model in identifying different ballet poses is developed with artificial intelligence in order to tear down this barrier. The main purpose of this paper is to demonstrate a methodology that simplified Ballet Pose Recognition using an opensource framework called MediaPipe and a machine learning algorithm called Support Vector Machine. How the model work is it will pass through two stages: first, it extracts data points from an image dataset using the MediaPipe Pose Estimation library, and then it preprocesses the data, trains, validates, and tests it using the Support Vector Machine algorithm to do some pose classification. The model is trained in seven distinct ballet poses, including First Position, Second Position, Third Position, Fourth Position, Fifth Position, Tendu Devant, and Tendu Derrière. This is purposely done in order to assess the competence of the classification model. An accuracy score of 87% is achieved from the ballet pose classification model and is developed to work on images and live videos.

Sistem Pendukung Keputusan Untuk Pemilihan Hotel di Kota Medan Dengan Menggunakan Metode Simple Additive Weighting Tjokro, Stanley; Romindo, Romindo
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 1 (2023): February 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i1.1523

The increasing number of tourist locations in the city of Medan has led to growth in the arrival rate of tourists from abroad, and this has caused the hotel business to also increase rapidly. Even though the hotel business is increasing rapidly, not all tourists want to choose any hotel in the city of Medan, because tourists will still pay attention in terms of price, service, location, stars, and cleanliness, even though there are at least 177 hotels in the city of Medan. To overcome the problem of choosing the right hotel, a decision support system will be made to assist users in selecting hotels, and the system will be designed using the Simple Additive Weighting (SAW) method, which will produce alternatives according to the criteria, values, and weights that have been determined. determined by the users. In collecting data for the system, methods such as surveys, field observations, interviews, and literature studies based on official documents will be used. This website-based decision support system generates output in the form of hotel rankings from highest to lowest level.

Implementasi Metode Naive Bayes Classifier Terhadap Klasifikasi Topik Kemacetan Lalu Lintas Indonesia Melalui Tweet Romindo, Romindo; Barus, Okky Putra; Pangaribuan, Jefri Junifer
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7470

The causes of traffic congestion in Indonesia include traffic accidents, poor road infrastructure, and the increasing number of motor vehicles. In 2023, the number of vehicles reached 152.6 million, exceeding half of Indonesia's population of 276 million, according to the Indonesian Traffic Police Corps data. Twitter has a user base of approximately 4.23% of the total global population, which amounts to 436 million user and Indonesia is one of the countries with the largest number of Twitter users. Twitter data will be used to determine the sentiment level of traffic congestion in Indonesia using the Naïve Bayes Classifier method to evaluate overall accuracy performance, precision, recall, and f1-score. The research classified two groups, negative and positive. Classification is carried out through several stages, including data pre-processing, data training, data testing, and evaluation. After evaluating the Naive Bayes algorithm, the highest results achieved an overall accuracy of 77%, precision of 86%, recall of 82%, and f1-score of 84%.

Rancang Bangun, Penyerahan, dan Sosialisasi Sistem Informasi Jasa Katering Berbasis Web Jefri Junifer Pangaribuan; Ilhami, Mirza; Chandra, Wenripin; Romindo, Romindo
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 2 (2024): Mei 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i2.4009

Catering services are integral to the food and beverage industry, particularly in providing meals for various events such as weddings and corporate functions. However, many catering businesses still rely on outdated, conventional systems that result in inefficiencies and difficulties in reaching potential customers. To address these challenges, this research focuses on developing a modern information system tailored to the needs of catering enterprises. The development process began with the design of a Use Case Diagram, followed by the creation of a user-friendly interface and a robust database structure. The final product is a fully functional website that streamlines the ordering process, enhances customer interaction, and provides a platform for suppliers to effectively promote their products. The system was rigorously tested, and user feedback was gathered through questionnaires. The results indicated a satisfaction rate of 80%, demonstrating that the website meets the users' needs and successfully resolves issues related to service accessibility and promotional outreach. This project highlights the importance of integrating modern technology into traditional business models to improve efficiency and customer satisfaction.

Penerapan Metode SMART (Simple Multi-Attribute Rating Technique) DalamSistemPendukungKeputusanPemberianKreditUsahaRakyat PadaBankSumut(Studi Kasus: KCPPasarMartubung) Romindo, Romindo; Hardianti, Siti
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 2 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i2.63

Bank SUMUT KCP Pasar Martubung in the provision of People's Business Credit (KUR) and the subject of this research is the People's Business Credit Account (KUR), which amounts to one person. The high interest of the community in obtaining KUR made it difficult for Bank SUMUT to determine who was entitled to receive KUR. In the process of determining the eligibility of previous KUR recipients, the method of comparison between monthly income and monthly needs is still using the manual method. This method is considered to be still simple, this is due to dependence on one indicator that causes bad credit. To overcome this problem, a decision support system is needed with the SMART Multi Attribute Ranking Technique which can assist in the provision of KUR to the community that meets the criteria in the provision of KUR

Co-Authors Anggara, Alfin Asnawi, Muhamad Fuat Baihaqy, M Alif Muwafiq Barus, Okky Putra Chandra, Wenripin Ferawaty Ferawaty, Ferawaty Hidayat, Muslim Hondro, Ety Debora Ilhami, Mirza Jamaludin . Jefri Junifer Pangaribuan Kevin Bastian Sirait Pangaribuan, Jefri Junifer Siti Hardianti Siti Hardianti, Siti Tjokro, Stanley Triandes Sinaga Ulfa, Ayu Wiliem, Evelyn William William Yudhistira Adhitya Pratama Yugopuspito, Pujianto

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