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Finding The Most Desirable Car Using K-Nearest Neighbor From E-Commerce Websites Mohammad Farid Naufal; Yudistira Rahadian Wibisono
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 5 No. 1 (2021)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v5i1.221

Abstract

The increasing number of cars that have been released to the market makes it more difficult for buyer to choose the choice of car that fits with their desired criteria such as transmission, number of kilometers, fuel type, and the year the car was made. The method that is suitable in determining the criteria desired by the community is the K-Nearest Neighbors (KNN). This method is used to find the lowest distance from each data in a car with the criteria desired by the buyer. Euclidean, Manhattan, and Minkowski distance are used for measuring the distance. For supporting the selection of cars, we need an automatic data col-lection method by using web crawling in which the system can retrieve car data from several ecommerce websites. With the construction of the car search system, the system can help the buyer in choosing a car and Euclidean distance has the best accuracy of 94.40%.
Analisis Perbandingan Algoritma Klasifikasi MLP dan CNN pada Dataset American Sign Language Mohammad Farid Naufal; Sesilia Shania; Jessica Millenia; Stefan Axel; Juan Timothy Soebroto; Rizka Febrina P.; Mirella Mercifia
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 3 (2021): Juni 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.161 KB) | DOI: 10.29207/resti.v5i3.3009

Abstract

People who have hearing loss (deafness) or speech impairment (hearing impairment) usually use sign language to communicate. One of the most basic and flexible sign languages ​​is the Alphabet Sign Language to spell out the words you want to pronounce. Sign language uses hand, finger, and face movements to speak the user's thoughts. However, for alphabetical sign language, facial expressions are not used but only gestures or symbols formed using fingers and hands. In fact, there are still many people who don't understand the meaning of sign language. The use of image classification can help people more easily learn and translate sign language. Image classification accuracy is the main problem in this case. This research conducted a comparison of image classification algorithms, namely Convolutional Neural Network (CNN) and Multilayer Perceptron (MLP) to recognize American Sign Language (ASL) except the letters "J" and "Z" because movement is required for both. This is done to see the effect of the convolution and pooling stages on CNN on the resulting accuracy value and F1 Score in the ASL dataset. Based on the comparison, the use of CNN which begins with Gaussian Low Pass Filtering preprocessing gets the best accuracy of 96.93% and F1 Score 96.97%
Analisis Pemilihan Supplier Pada Pengadaan Suku Cadang dengan Metode Analytic Hierarchy Process Mohammad Farid Naufal; Putu Aditya Riva Putra; Selvia Ferdiana Kusuma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.565 KB) | DOI: 10.30645/j-sakti.v5i1.328

Abstract

PT. Bali Age is a company which engaged in freight forwarding service. Because of this, the company is using the trucks for carry out of their operational activities. Every truck always gets a routine maintenance at their garage, so they must provide the spare parts stock by themselves. The currently procurement of spare parts are still based on paper. By implementing the decision support in a new procurement system, it can provide a supplier recommendation for this company. This supplier recommendation which provides by system, are getting from the result of the comparation value from criteria priority calculation, using AHP method. The AHP method that implemented in this system, can also provide the final result of supplier recommendation comparison value with accurately.
Rancang Bangun Sistem Informasi Survei Kepegawaian Kantor Pelayanan Perbendaharaan Negara Kediri Berbasis Web Selvia Ferdiana Kusuma; Mohammad Farid Naufal; Septian Wijaya Aminulloh; Panji Yumadana Vernolyo
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1246.379 KB) | DOI: 10.30645/j-sakti.v5i1.329

Abstract

The State Treasury Service Office in Kediri is one of the services of the state general treasurer in the city of Kediri. The function of the State Treasury Service Office in Kediri, which is responsible for channeling the budget according to its allocation as stipulated in the APBN Law. In order to maintain the quality of the services provided, the State Treasury Service Office in Kediri always carries out supervision. Currently, the employment survey is conducted using the google form. However, the use of this form of google is not optimal. This is because there is no final cost for the staffing survey that has been carried out and there is no report on the results of the survey that has been carried out. Therefore, this study makes a web-based design of the personnel survey information system at the State Treasury Service Office in Kediri. This information system uses the programming language PHP and Javascript (EcmaScript 6) with the MySQL database. Based on the experiments that have been done, all the features in this information system can work according to their function. The design of this information system can help the State Treasury Service Office in Kediri to conduct the performance survey process more efficiently.
Analisis Pemilihan Supplier Pada Pengadaan Suku Cadang dengan Metode Analytic Hierarchy Process Mohammad Farid Naufal; Putu Aditya Riva Putra; Selvia Ferdiana Kusuma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.328

Abstract

PT. Bali Age is a company which engaged in freight forwarding service. Because of this, the company is using the trucks for carry out of their operational activities. Every truck always gets a routine maintenance at their garage, so they must provide the spare parts stock by themselves. The currently procurement of spare parts are still based on paper. By implementing the decision support in a new procurement system, it can provide a supplier recommendation for this company. This supplier recommendation which provides by system, are getting from the result of the comparation value from criteria priority calculation, using AHP method. The AHP method that implemented in this system, can also provide the final result of supplier recommendation comparison value with accurately.
Rancang Bangun Sistem Informasi Survei Kepegawaian Kantor Pelayanan Perbendaharaan Negara Kediri Berbasis Web Selvia Ferdiana Kusuma; Mohammad Farid Naufal; Septian Wijaya Aminulloh; Panji Yumadana Vernolyo
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.329

Abstract

The State Treasury Service Office in Kediri is one of the services of the state general treasurer in the city of Kediri. The function of the State Treasury Service Office in Kediri, which is responsible for channeling the budget according to its allocation as stipulated in the APBN Law. In order to maintain the quality of the services provided, the State Treasury Service Office in Kediri always carries out supervision. Currently, the employment survey is conducted using the google form. However, the use of this form of google is not optimal. This is because there is no final cost for the staffing survey that has been carried out and there is no report on the results of the survey that has been carried out. Therefore, this study makes a web-based design of the personnel survey information system at the State Treasury Service Office in Kediri. This information system uses the programming language PHP and Javascript (EcmaScript 6) with the MySQL database. Based on the experiments that have been done, all the features in this information system can work according to their function. The design of this information system can help the State Treasury Service Office in Kediri to conduct the performance survey process more efficiently.
Rekomendasi Peralatan Camping Menggunakan Metode Complex Proportional Assesment Mohammad Farid Naufal; Daniel Hary Prasetyo; Firman Herda Ramadhan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.503

Abstract

Boss camping is a company engaged in services, namely the rental of camping equipment. Because it is engaged in goods rental services, the company uses a social media operating system to carry out its operational activities. The system is expected to make it easier to rent and provide real-time equipment information so that customers do not need to go to the rental place to check the stock of equipment to be borrowed, so as to make it easier for customers who will rent climbing equipment. In addition, this system is able to assist admins in managing data, so as to provide valid and accurate information. The decision support system was obtained using the Copras (Complex Proportional Assessment) method. The Copras method is applied in a decision support system in order to solve the problem because it is used to calculate the utility of a predetermined alternative for comparison and calculate the evaluation of the maximum and minimum criteria separately
Natural Language Processing untuk Otomatisasi Pengenalan Pronomina dalam Kalimat Bahasa Indonesia Mohammad Farid Naufal; Selvia Ferdiana Kusuma
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 5: Oktober 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022946394

Abstract

Pronomina (kata ganti) adalah jenis kata yang dapat dipakai untuk menggantikan posisi kata benda atau orang dalam suatu kalimat. Penggunaan pronomina akan mudah dipahami apabila serangkaian kalimat dibaca secara utuh. Namun jika rangkaian kalimat tersebut hanya dibaca pada kalimat-kalimat tertentu, maka akan sulit memahami kalimat yang memiliki pronomina. Pada pengolahan bahasa alamiah, diperlukan kejelasan konteks dari sebuah kalimat. Dalam konteks otomatisasi pengolahan bahasa alamiah, adanya pronomina dapat menyulitkan komputer untuk memahami kalimat tersebut. Oleh sebab itu, dalam pengolahan bahasa alamiah yang mengandung pronomina diperlukan pre proses berupa pengubahan pronomina ke dalam bentuk subjek atau objek asli yang dirujuk. Metode yang diusulkan untuk menyelesaikan permasalahan ini adalah pendekatan berbasis sintaktik. Pendekatan ini menitikberatkan pada struktur kata yang digunakan dan struktur komponen kata yang digunakan. Metode yang diusulkan memiliki 4 tahapan yakni pengumpulan data, pembangkitan aturan, otomatisasi pengenalan pronominal, dan terakhir adalah evaluasi.  Metode yang diusulkan telah diujicobakan untuk mengenali adanya pronomina dari kalimat-kalimat pada materi Ilmu Pengetahuan Alam dan Ilmu Pengetahuan Sosial di jenj­­ang sekolah dasar. Hasil evaluasi menunjukkan bahwa metode yang diusulkan dapat digunakan untuk mengubah subjek yang berbentuk pronomina menjadi subjek atau objek asli yang dirujuk. Rata-rata akurasi yang didapatkan sebesar 81%. Akurasi tersebut didapatkan dari perbandingan antara jumlah kata ganti yang berhasil diidentifikasi subjeknya dengan keseluruhan data uji. Hasil dari penelitian ini dapat digunakan peneliti di bidang Natural Language Processing untuk melakukan praproses terhadap teks yang akan diolah. AbstractA pronoun is a word that can be used to replace a noun or person in a sentence. The use of pronouns will be easy to understand if a series of sentences is read in its entirety. However, if the sentence series is only read in specific sentences, it will be difficult to understand sentences with pronouns. In natural language processing, it is necessary to clarify the context of a sentence. In the context of automation of natural language processing, the existence of pronouns can make it difficult for computers to understand the sentence. Therefore, in processing natural language containing pronouns, it is necessary to pre-process in the form of converting pronouns into the form of the original subject or object referred to. The method proposed to solve this problem is a syntactic-based approach. This approach focuses on the structure of the words used and the word components used. The proposed method has 4 stages, namely data collection, rule generation, automation of pronoun recognition and the last is evaluation. The proposed method has been evaluated to identify the existence of pronouns from sentences in the Natural Sciences and Social Sciences material at the elementary school level. The evaluation results show that the proposed method can be used to change the subject in the form of a pronoun into the original subject or object referred to. The average accuracy obtained is 81%. The accuracy is obtained from the comparison between the number of pronouns that have been identified with the overall test data. Researchers in natural language processing can use the results of this study to pre-process their text.  
Rekomendasi Peralatan Camping Menggunakan Metode Complex Proportional Assesment Mohammad Farid Naufal; Daniel Hary Prasetyo; Firman Herda Ramadhan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.503

Abstract

Boss camping is a company engaged in services, namely the rental of camping equipment. Because it is engaged in goods rental services, the company uses a social media operating system to carry out its operational activities. The system is expected to make it easier to rent and provide real-time equipment information so that customers do not need to go to the rental place to check the stock of equipment to be borrowed, so as to make it easier for customers who will rent climbing equipment. In addition, this system is able to assist admins in managing data, so as to provide valid and accurate information. The decision support system was obtained using the Copras (Complex Proportional Assessment) method. The Copras method is applied in a decision support system in order to solve the problem because it is used to calculate the utility of a predetermined alternative for comparison and calculate the evaluation of the maximum and minimum criteria separately
Translator of Indonesian Sign Language Video using Convolutional Neural Network with Transfer Learning Sesilia Shania; Mohammad Farid Naufal; Vincentius Riandaru Prasetyo; Mohd Sanusi Bin Azmi
Indonesian Journal of Information Systems Vol. 5 No. 1 (2022): August 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i1.5865

Abstract

Sign language is a language used to communicate by utilizing gestures and facial expressions. This study focuses on classification of Bahasa Isyarat Indonesia (BISINDO). There are still many people who have difficulty communicating with the deaf people. This study builds video-based translator system using Convolutional Neural Network (CNN) with transfer learning which is commonly used in computer vision especially in image classification. Transfer learning used in this study are a MobileNetV2, ResNet50V2, and Xception. This study uses 11 different commonly used vocabularies in BISINDO. Predictions will be made in real-time scenario using a webcam. In addition, the system given good results in the experiment with an interaction approach between one pair of deaf and normal people. From all the experiments, it was found that the Xception architectures has the best F1 Score of 98.5%.