Article Per Year (5 Year)
p-Index From 2019 - 2024
2.637
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengajaran MIPA Perfecting a Video Game with Game Metrics Jurnal Ilmu Komputer (JIK) Journal of Engineering and Technological Sciences Indonesian Journal of Science and Technology JOIV : International Journal on Informatics Visualization THABIEA (JOURNAL OF NATURAL SCIENCE TEACHING) Jurnal Sains Dirgantara Jurnal Guru Komputer
Lala Septem Riza
Universitas Pendidikan Indonesia
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Engineering Environmental Science Physics

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
IMPLEMENTASI JARINGAN SYARAF TIRUAN UNTUK MENGIDENTIFIKASI TELAPAK TANGAN DENGAN MENGGUNAKAN METODE LEARNING VECTOR QUANTIZATION Firmansyah, Husni; Riza, Lala Septem; Rosada, Wahyudin Sanusi
Jurnal Ilmu Komputer (JIK) Vol 1, No 1 (2013): Jurnal Ilmu Komputer (JIK)
Publisher : Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Identifikasi telapak tangan dapat berpengaruh untuk keamanan data. Identifikasi telapak tangan diimplementasikan dengan menggunakan metode Jaringan Syaraf Tiruan Learning Vector Quantization. Ada 4 langkah dalam mengidentifikasi telapak tangan. Langkah pertama dimulai dengan menggunakan metode image processing grayscalling dari data gambar berwarna dan menghasilkan data gambar grayscale sebagai input untuk langkah kedua. Langkah kedua yaitu menggunakan metode image processing edge detection dan menghasilkan beberapa piksel edge dalam data gambar grayscale sebagai input untuk langkah ketiga. Langkah ketiga yaitu menggunakan metode image processing thresholding dan menghasilkan data array biner. Langkah keempat yaitu menggunakan metode Jaringan Syaraf Tiruan Learning Vector Quantization pada data array biner dan menghasilkan data array bobot. Data array bobot ini yang dihitung untuk mengidentifikasi telapak tangan. Studi kasus dilakukan dengan menggunakan maksimal 240 buah data pembelajaran, 160 buah data pengujian, dan 4 buah parameter sensitity yang menghasilkan akurasi keberhasilan sebesar 37,25% untuk perubahan epoh, 35% untuk perubahan jumlah data pembelajaran, 32,625% untuk perubahan learning rate, 24,22% untuk perubahan nilai threshold. Akurasi keberhasilan yang kecil dikarenakan  posisi telapak tangan yang berubah-ubah. Kata Kuncipengenalan dan identifikasi telapak tangan, Jaringan Syaraf Tiruan Learning Vector Quantization, image processing grayscalling, image processing edge detection, image processing thresholding.
Optimization of Vertical Well Placement for Oil Field Development Based on Basic Reservoir Rock Properties using a Genetic Algorithm Ariadji, Tutuka; Sukarno, Pudjo; Sidarto, Kuntjoro Adji; Soewono, Edy; Riza, Lala Septem; David, Kenny
Journal of Engineering and Technological Sciences Vol 44, No 2 (2012)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.057 KB) | DOI: 10.5614/itbj.eng.sci.2012.44.2.2

Abstract

Comparing the quality of basic reservoir rock properties is a common practice  to  locate  new  infill  or  development  wells  for  optimizing  oil  field development using reservoir simulation. The conventional technique employs a manual  trial-and-error  process  to  find  new  well  locations,  which  proves  to  be time-consuming, especially for large fields. Concerning this practical matter, an alternative in the form of a robust technique is introduced in order to reduce time and  effort  in  finding  new  well  locations  capable  of  producing  the  highest  oil recovery. The objective of this research was to apply a genetic algorithm (GA) for determining well locations using reservoir simulation, in order to avoid the conventional  manual  trial-and-error  method.  This  GA  involved  the  basic  rock properties,  i.e.  porosity,  permeability,  and  oil  saturation,  of  each  grid  block obtained from a reservoir simulation model, to which a newly generated fitness function was applied, formulated by translating common engineering  practice in reservoir  simulation  into  a  mathematical  equation  and  then  into  a  computer program. The maximum fitness value indicates the best grid location for a new well. In order to validate the proposed GA method and evaluate the performance of the program, two fields with different production profile characteristics were used, fields X and Y. The proposed method proved to be a robust and accurate method to find the best new well locations for oil field development. The key to the success of the proposed  GA method lies in the formulation of the objective functions.
Determining Trending Topics in Twitter with a Data-Streaming Method in R Mediayani, Melani; Wibisono, Yudi; Riza, Lala Septem; Pérez, Alejandro Rosales
Indonesian Journal of Science and Technology Vol 4, No 1 (2019): IJOST: VOLUME 4, ISSUE 1, 2019
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v4i1.15807

Abstract

Trending topics in Twitter is a collection of certain topics that are widely discussed by users. This study aims to design a model and strategy for finding trending topics from data streams on Twitter. The research approach was carried out in four stages, namely twitter data collection, preprocessing data, data analysis with sequential K-Means clustering and information processing. Sequential K-Means is used because it can receive input data sequentially and the cluster center can be updated. Testing of the model is carried out in three scenarios where each scenario is distinguished between the amount of data, time and parameter values. After that, evaluation of the results of clustering will be done using the Dunn Index method. Trending topics twitter application were created using the R language and produce output in the form of histograms. There are five topics being the trending topics in New York before the new year. The topic of "Times" relates to the presence of a new year's celebration night concert in Times Square. The "Hours" topic deals with the calculation of time and seconds towards 2017. "Eve" and "Party" topics relate to celebrations and the topic "Resolution" relating to hope and change for New Yorkers in in 2017.
Question Generator System of Sentence Completion in TOEFL Using NLP and K-Nearest Neighbor Riza, Lala Septem; Pertiwi, Anita Dyah; Rahman, Eka Fitrajaya; Munir, Munir; Abdullah, Cep Ubad
Indonesian Journal of Science and Technology Vol 4, No 2 (2019): IJOST: VOLUME 4, ISSUE 2, 2019
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v4i2.18202

Abstract

Test of English as a Foreign Language (TOEFL) is one of learning evaluation forms that requires excellent quality of questions. Preparing TOEFL questions using a conventional way certainly spends a lot of time. Computer technology can be used to solve the problem. Therefore, this research was conducted in order to solve the problem of making TOEFL questions with sentence completion type. The built system consists of several stages: (1) input data collection from foreign media news sites with excellent English grammar quality; (2) preprocessing with Natural Language Processing (NLP); (3) Part of Speech (POS) tagging; (4) question feature extraction; (5) separation and selection of news sentences; (6) determination and value collection of seven features; (7) conversion of categorical data value; (8) target classification of blank position word with K-Nearest Neighbor (KNN); (9) heuristic determination of rules from human experts; and (10) options selection or distraction based on heuristic rules. After conducting the experiment on 10 news, it is obtained that 20 questions based on the results of the evaluation showed that the generated questions had a very good quality with percentage of 81.93% (after the assessment by the human expert), and 70% was the same blank position from the historical data of TOEFL questions. So, it can be concluded that the generated question has the following characteristics: the quality of the result follows the data training from the historical TOEFL questions, and the quality of the distraction is very good because it is derived from the heuristics of human experts.
READING AND COUNTING INTERACTIVE MEDIA FOR CHILDREN WITH AUTISM SPECTRUM DISORDER (ASD) Riza, Lala Septem; Solihat, Syifa; Fitriasari, Novi Sofia; Homdijah, Oom Siti; Nurhayati, Ai Siti; Hidayat, Topik
Jurnal Pengajaran MIPA Vol 23, No 1 (2018): JPMIPA: Volume 23, Issue 1, 2018
Publisher : Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18269/jpmipa.v23i1.13908

Abstract

Learning for children with autism spectrum disorder (ASD) must specifically cater to their specific characteristics, but learning media specifically tailored for children with ASD is unfortunately still limited. We designed and implemented interactive multimedia adopting the syntax of PECS for reading and counting in children with ASD. Students’ improvement was evaluated after learning and their behavior while learning was documented. Results showed some improvement in students' learning achievement, and all students showed an improvement in terms of behavior when learning.
Multiplatform Application Technology – Based Heutagogy on Learning Batik: A Curriculum Development Framework Widiaty, Isma; Riza, Lala Septem; Abdullah, Ade Gafar; Mubaroq, Sugeng Rifqi
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.18754

Abstract

This  study  aimed  to  design  a  batik  learning  medium  for vocational high school students in based on multiplatform. The application  made was expected  to support heutagogy approach – based learning and to deal with the development of  science  and  technology  integrated  in  the  curriculum  of vocational high schools. The application developed, namely e-botik,  was  an  integration  of  several  previously-designed applications using Code ignitor (CI) framework. The database used was My-SQL. It is commonly known that Code igniter is an open source web application framework utilized to create dynamic PHP applications. In this study, e-botik consisted of three main  components  including interface, database,  and application  programming  interface  (API).  Some  of  the applications combined were ARtikon_joyful (Android-based), Video Kasumedangan Batik (movie player), Nalungtik  Batik (desktop-based),  Digi_Learnik  (web-based),  Batik  UPI (manual),  Batik  Cireundeu  (manual),  and  Lembar  Balik (manual). The combination proceeded web-based so that it was  compatible  with  various  operating  systems.  The application (e-botik) was designed and then tested. The test was  performed  through  whitebox  testing  and  blackbox testing. The results of the test showed that it ran well and was able to be used a batik learning media. It is expected that students  can  utilize  e-botik  in  selecting  topics  of  learning batik in accordance with their competences and needs. This condition enables e-botik to support learning batik through heutagogical approach. In addition, the application was also validated in terms of both system and usage aspects. 
The Best Malaysian Airline Companies Visualization through Bilingual Twitter Sentiment Analysis: A Machine Learning Classification Khyrina Airin Fariza Abu Samah; Nur Farhanah Amirah Misdan; Mohd Nor Hajar Hasrol Jono; Lala Septem Riza
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.879

Abstract

Online reviews are crucial for business growth and customer satisfaction. There is no exception for the airlines’ company, which places third as the biggest contributor to Malaysia’s Gross Domestic Product. Customer opinions play an important role in maintaining the reputation and improving the quality of service of the airlines. However, there is no specific platform for online review. Most online ratings obtain English, leading to inaccurate results as not all reviews regarding different languages are considered. Airlines currently have no specific platform for online reviews despite being critical for business growth, performance, and customer experience improvement. Hence, this paper proposed implementing a web-based dashboard to visualize the best Malaysian airline companies. The airline companies involved are AirAsia, Malaysia Airlines, and Malindo Air. We designed and developed the proposed study through the bilingual analysis of Twitter sentiment using the Naïve Bayes algorithm. Naïve Bayes algorithm is a machine learning approach to do classification. The tweets extracted were analyzed as metrics that advance airline companies’ online presence. Testing phases have shown that the classifier successfully classified tweets’ sentiment with 93% accuracy for English and 91% for Bahasa. Every feature in the web-based dashboard functions correctly and visualizes a detailed analysis of sentiment. We applied the System Usability Scale to test the study’s usability and managed to get a score of 94.7%. The acceptability score ‘acceptable’ result concluded that the study reflects a good solution and can assist anyone in understanding the public views on airline companies in Malaysia.
Low-cost and Portable Process Control Laboratory Kit Ade Gafar Abdullah; Dadang Lukman Hakim; Muhammad Afif Auliya; Asep Bayu Dani Nandiyanto; Lala Septem Riza
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 1: February 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i1.6888

Abstract

The purpose of this study was to demonstrate a new design of low-cost and portable laboratory kit that is prospective for supporting teaching and learning on the automation process. The kit consists of the water tank filling system (sizes of 50 mL; as a model for describing reallistic tank in the plant) equipped with a programmable logic controller (PLC) integrated with SCADA system, human machine interface (HMI) monitor, reservoir, temperature, water level sensors, mixer, and heater. To be adaptable in any types of classroom, the kit was placed on the portable table (length x width x height of 100 x 50 x 150 cm). To approach the industrial tank system in industry, the tank was designed to be mixed and connected to other tank, and the temperature and water volumetric (water level) was controllable. To examine the impact of the designed kit on the improvement of teaching and learning process, the problem based learning (PBL) approach was also conducted in class. The economic analysis result showed that the present kit is inexpensive and portable, compared to other commercially available kits/devices. The PBL results showed that the kit is simple and to give better illustrations for students to comprehend the process control system in the realistic application in industry. Further developments of this kit is potentially implemented as an experimental tool for undergraduate students.
Parallel random projection using R high performance computing for planted motif search Lala Septem Riza; Tyas Farrah Dhiba; Wawan Setiawan; Topik Hidayat; Mahmoud Fahsi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.11750

Abstract

Motif discovery in DNA sequences is one of the most important issues in bioinformatics. Thus, algorithms for dealing with the problem accurately and quickly have always been the goal of research in bioinformatics. Therefore, this study is intended to modify the random projection algorithm to be implemented on R high performance computing (i.e., the R package pbdMPI). Some steps are needed to achieve this objective, ie preprocessing data, splitting data according to number of batches, modifying and implementing random projection in the pbdMPI package, and then aggregating the results. To validate the proposed approach, some experiments have been conducted. Several benchmarking data were used in this study by sensitivity analysis on number of cores and batches. Experimental results show that computational cost can be reduced, which is that the computation cost of 6 cores is faster around 34 times compared with the standalone mode. Thus, the proposed approach can be used for motif discovery effectively and efficiently.
Determining Strategies on Playing Badminton using the Knuth-Morris-Pratt Algorithm Lala Septem Riza; Muhammad Irfan Firmansyah; Herbert Siregar; Dian Budiana; Alejandro Rosales-Pérez
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.11554

Abstract

Mastery techniques in badminton game are a main ability that must be possessed by players. One part of these techniques is the strategy in proper shuttlecock placement, so that the opposing player is difficult to restore it. Therefore, this study aims to build a computational model and its implementation that are able to provide predictions/recommendations for trainers and players on determining strategies of shuttlecock’s placements and strokes. The proposed model takes into account historical game patterns that have been done by world class athletes. Then, string matching using the Knuth-Morris-Pratt algorithm and a clustering method are utilized to provide solutions to be some strategies on shooting the shuttlecock. The model is then implemented in the R programming language. Several experiments, involving 20 series of world matches collected as historical data, have been conducted to validate the system. From the results obtained, it can be concluded that the system can be used as an alternative tool for players and coaches to determine the strategy in the placement and strokes of shuttlecock on badminton game.
Co-Authors Abdullah, Cep Ubad Ade Gafar Abdullah, Ade Gafar Aldi Zainafif Alejandro Rosales Pérez Alejandro Rosales-Pérez Asep Bayu Dani Nandiyanto Asep Wahyudin AZ Pranata Budiana, Dian Dadang Lukman Hakim Dewini Dewini Edy Soewono Edy Soewono Eka Fitrajaya Rahman Eliyawati Eliyawati Erna Piantari Farhan Dhiyaa Pratama Ferry Mukharradi Simatupang Hanung Adi Nugroho Herbert Siregar Homdijah, Oom Siti Husni Firmansyah Isma Widiaty Judhistira Aria Utama Kenny David Kenny David Khyrina Airin Fariza Abu Samah Khyrina Airin Fariza Abu Samah Kuntjoro Adji Sidarto Kuntjoro Adji Sidarto Mahmoud Fahsi Mediayani, Melani Mohd Nor Hajar Hasrol Jono Mohd Nor Hajar Hasrol Jono Muhammad Afif Auliya Muhammad Hazmi Zuhdi Muhammad Irfan Firmansyah Naufal Rabah Wahidin Nor Aiza Moketar Novi Sofia Fitriasari Nur Farhanah Amirah Misdan Nur Maisarah Nor Azharludin Nurhayati, Ai Siti Nurqueen Sayang Dinnie Wirakarnain Pérez, Alejandro Rosales Pertiwi, Anita Dyah Pudjo Sukarno Pudjo Sukarno Raseeda Hamzah Rasim, Rasim Rena Zaen Rendi Adistya Rosdiyana Rika Rafikah Agustin Rizky Rachman Judie Rosi Oktiani Shah Nazir Solihat, Syifa Sugeng Rifqi Mubaroq Taufiq Hidayat Topik Hidayat Tutuka Ariadji Tutuka Ariadji Tyas Farrah Dhiba Wahyudin Sanusi Rosada Wawan Setiawan Wibisono, Yudi Zainab Othman