Article Per Year (5 Year)
p-Index From 2021 - 2026
5.58
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengajaran MIPA TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer (JIK) Indonesian Journal of Disability Studies Journal of Engineering and Technological Sciences ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Penelitian dan Pembelajaran IPA Indonesian Journal of Science and Technology QUANTUM: Jurnal Inovasi Pendidikan Sains JOIV : International Journal on Informatics Visualization AL ISHLAH Jurnal Pendidikan Knowledge Engineering and Data Science Jurnal Penelitian Pendidikan IPA (JPPIPA) Momentum: Physics Education Journal MUST: Journal of Mathematics Education, Science and Technology Journal of Natural Science and Integration JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI THABIEA (JOURNAL OF NATURAL SCIENCE TEACHING) JURNAL PENDIDIKAN TAMBUSAI Journal of Education Technology Jurnal Tekno Insentif Jurnal Sains Dirgantara Education and Human Development Journal Jurnal Paedagogy Cendikia : Media Jurnal Ilmiah Pendidikan Journal Evaluation in Education (JEE) Brilliance: Research of Artificial Intelligence Jurnal Pengabdian Masyarakat untuk Negeri (UN-PENMAS) Digital Transformation Technology (Digitech) IJOEM: Indonesian Journal of Elearning and Multimedia Finger : Jurnal Ilmiah Teknologi Pendidikan Bulletin of Social Informatics Theory and Application Jurnal Guru Komputer Jurnal Pendidikan Teknologi Informasi dan Komunikasi Journal of Computers for Society
Lala Septem Riza
Universitas Pendidikan Indonesia, Bandung, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

Published : 59 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 59 Documents
Search

 1   2   3   4   5 
Genomic repeats detection using Boyer-Moore algorithm on Apache Spark Streaming Lala Septem Riza; Farhan Dhiyaa Pratama; Erna Piantari; Mahmoud Fahsi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14883

Abstract

Genomic repeats, i.e., pattern searching in the string processing process to find repeated base pairs in the order of Deoxyribonucleic Acid (DNA), requires a long processing time. This research builds a big-data computational model to look for patterns in strings by modifying and implementing the Boyer-Moore algorithm on Apache Spark Streaming for human DNA sequences from the Ensemble site. Moreover, we perform some experiments on cloud computing by varying different specifications of computer clusters with involving datasets of human DNA sequences. The results obtained show that the proposed computational model on Apache Spark Streaming is faster than standalone computing and parallel computing with multicore. Therefore, it can be stated that the main contribution in this research, which is to develop a computational model for reducing the computational costs, has been achieved.
Fuzzy Rule-based Classification Systems for the Gender Prediction from Handwriting Lala Septem Riza; Aldi Zainafif; Rasim Rasim; Shah Nazir
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.v16i6.9478

Abstract

The handwriting is an object that can describe information about the author implicitly. For example, it is able to predict the gender. Recently, the gender prediction based on handwriting becomes an interesting research. Even in 2013, an competition for prediction gender from handwriting has been held by Kaggle. However, the accuracies of current approaches are relatively low. So, in this study, we attempt to implement Fuzzy Rule-Based Classification Systems (FRBCSs) for gender predictions from handwriting. Three stages are conducted to achieve the objective, as follows: defining some features based on Graphology Techniques (e.g., pressure, height, and margin on writing), collecting real datasets, processing on digital images (i.e., image segmentation, projection profiles, and margin calculation, etc.), and implementing FRBCSs. The implemented algorithm based on FRBCSs in this research is Chi’s Algorithm, which is a method based on Fuzzy Logic for classification tasks. Moreover, some experiments and analysis, involving 75 respondents consisting of 36 males and 39 females, have been done to validate the proposed model. From the simulations, the classification rate obtained is 76%. Besides improving the accuracy rate, the proposed model can provide an understandable model by utilizing fuzzy rule-based systems.
Optimization of Vertical Well Placement for Oil Field Development Based on Basic Reservoir Rock Properties using a Genetic Algorithm Tutuka Ariadji; Pudjo Sukarno; Kuntjoro Adji Sidarto; Edy Soewono; Lala Septem Riza; Kenny David
Journal of Engineering and Technological Sciences Vol. 44 No. 2 (2012)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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.
ESTIMASI KELIMPAHAN KEADAAN TUNAK POPULASI ASTEROID DEKAT-MATAHARI Judhistira Aria Utama; Ferry Mukharradi Simatupang; Lala Septem Riza; Taufiq Hidayat
Jurnal Sains Dirgantara Vol 17, No 2 (2020)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.jsd.2020.v17.a3264

Abstract

Telah dilakukan simulasi numerik terhadap ribuan sampel asteroid dekat-Bumi nyata (ADB, dari kelas Amor, Apollo, Aten, dan Atira) yang orbitnya telah dikenal dengan sangat baik (U = 0). Komputasi orbit dilakukan hingga 5x106 tahun ke depan memanfaatkan paket integrator SWIFT-RMVS (Regularized Mixed-Variable Symplectic) yang tersedia. Dari keluaran komputasi telah dihitung parameter q’ (nilai terkecil q) yang mendefinisikan orbit populasi asteroid dekat-Matahari (ADM). Berdasarkan model populasi keadaan tunak ADB, diperoleh fluks-masuk asteroid menuju kawasan dekat-Matahari dari kawasan dekat-Bumi sebesar 19 ± 0,21 objek per juta tahun (untuk model Tata Surya di bawah pengaruh gravitasi dan efek Yarkovsky) dan 13 ± 0,14 objek per juta tahun (untuk model Tata Surya di bawah pengaruh gravitasi), keduanya untuk H < 17,75. Kedua nilai fluks-masuk memberikan estimasi keadaan tunak populasi ADM yang setara, yaitu ~3 objek untuk H < 17,75 pada setiap saat bagi kedua model Tata Surya yang digunakan.
A linear regression approach to predicting salaries with visualizations of job vacancies: a case study of Jobstreet Malaysia Khyrina Airin Fariza Abu Samah; Nurqueen Sayang Dinnie Wirakarnain; Raseeda Hamzah; Nor Aiza Moketar; Lala Septem Riza; Zainab Othman
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i3.pp1130-1142

Abstract

This study explicitly discusses helping job seekers predict salaries and visualize job vacancies related to their future careers. Jobstreet Malaysia is an ideal platform for discovering jobs across the country. However, it is challenging to identify these jobs, which are organized according to their respective and specific courses. Therefore, the linear regression approach and visualization techniques were applied to overcome the problem. This approach can provide predicted salaries, which is useful as this enables job seekers to choose jobs more easily based on their salary expectations. The extracted Jobstreet data runs the pre-processing, develops the model, and runs on real-world data. A web-based dashboard presents the visualization of the extracted data. This helps job seekers to gain a thorough overview of their desired employment field and compare the salaries offered. The system’s reliability as tested using mean absolute error, the functionality test was performed according to the use case description, and the usability test was performed using the system usability scale. The reliability results indicate a positive correlation with the actual values. The functionality test produced a successful result, and a score of 96.58% was achieved for the system usability scale result, proving the system grade is ‘A’ and usable.
“ChemFUN” Android Application to Explore Students’ Understanding of Chemical Representation on Matter Topic Eliyawati Eliyawati; Naufal Rabah Wahidin; Lala Septem Riza; Rika Rafikah Agustin
THABIEA : JOURNAL OF NATURAL SCIENCE TEACHING Vol 5, No 1 (2022): THABIEA : JOURNAL OF NATURAL SCIENCE TEACHING
Publisher : Institut Agama Islam Negeri Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/thabiea.v5i1.12463

Abstract

This study aims to develop an android-based application to explore students understanding of chemical representation on matter topics. This study used a DDD-E development model as a research method, consisting of deciding stage, designing stage, developing stage, and evaluating stage. The deciding stage begins with analyzing the content and the software used to develop it. The designing stage consists of drawing a flowchart and the storyboard. Then, in the developing stage, the application was developed based on flowchart and the storyboard. The last is evaluating stage, which involves five expert judges reviewing the application. The result shows that the ChemFUN Android application is compatible only for the Android operating system. However, there are many buttons the user can interact. In guided inquiry, the materials show the chemical multiple representations view and the interconnections between macroscopic, microscopic, and symbolic views. The review result show that the final average score on the content quality is 3.64, followed by a language category with an average score of 3.65 and the design category with an average score of 3.60. Although it still has a low audio, spelling, and grammar score, it has been revised. The average for all categories is 3.63, which is very good, indicating that ChemFUN Android application is ready to be used in the learning activity to explore students understanding of chemical representation on matter topics. Also, this kind of research can be done with different chemistry topics, whether in National Curriculum or Cambridge Curriculum.
Frekuensi Tumbukan Populasi Asteroid dekat-Bumi Berukuran Kecil dengan Planet-Planet Kebumian Judhistira Aria Utama; Wahyudin - Wahyudin; Nanang Dwi Ardi; Taufiq - Hidayat; Lala Septem Riza
Jurnal Sains Dirgantara Vol 19, No 2 (2022)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.jsd.2022.v19.a3720

Abstract

Peristiwa papasan dekat antara populasi asteroid dekat-Bumi (ADB) dengan planet-planet kebumian sering kali terjadi dan menyebabkan orbit ADB mudah sekali berubah. Salah satu akibat dari perubahan orbit ini adalah terjadinya peristiwa tumbukan antara asteroid dengan planet-planet kebumian. Penelitian ini memanfaatkan 2387 sampel ADB nyata berukuran kecil (36 m <= D < 1 km, dalam rentang 17,90 < H < 24,97) dengan orbit yang telah dikenal sangat baik (U = 0), yang dibagi ke dalam 13 kelompok ukuran. Perhitungan orbit selama  tahun ke masa depan dilakukan dengan menggunakan paket integrator orbit Swift_RMVS4 hasil modifikasi sehingga dapat memperhitungkan gaya termal Yarkovsky. Langkah waktu perhitungan orbit dibuat sebesar 1/1000 tahun. Pada akhir komputasi orbit diperoleh fluks masuk sampel ADB ke zona pembuangan sebesar ~161 hingga ~335.330 asteroid per juta tahun. Probabilitas tumbukan intrinsik, Pi­, terkecil dimiliki oleh planet Mars, yaitu 7,42x10^-18  tahun-1 km-2 dan yang terbesar dimiliki oleh Bulan, yaitu 1,08x10^-16 tahun-1 km-2. Waktu antartumbukan paling singkat dimiliki oleh Bumi, dengan terjadinya satu tumbukan setiap 1374 tahun/1277 tahun yang melibatkan asteroid berdiameter D >= 36 m. Hal berlawanan berlaku untuk Mars, yang memiliki selang waktu antartumbukan terpanjang, yaitu 4709 tahun/4376 tahun. Survei terhadap populasi objek berdiameter dalam orde ratusan meter perlu dilakukan karena frekuensi tumbukan yang relatif lebih tinggi dengan potensi dampak kerusakan lokal hingga regional.
Working Volume and Milling Time on the Product Size/Morphology, Product Yield, and Electricity Consumption in the Ball-Milling Process of Organic Material Asep Bayu Dani Nandiyanto; Riezqa Andika; Muhammad Aziz; Lala Septem Riza
Indonesian Journal of Science and Technology Vol 3, No 2 (2018): IJoST: VOLUME 3, ISSUE 2, September 2018
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v3i2.12752

Abstract

Analysis of ball-milling process under various conditions (i.e. working volume, milling time, and material load) on the material properties (i.e. chemical composition, as well as particle size and morphology), product yield, and electricity consumption was investigated. Turmeric (curcuma longa) was used as a model of size-reduced organic material due to its thermally and chemically stability, and fragile. Thus, clear examination on the size-reduction phenomenon during the milling process can be done without considering any reaction as well as time-consuming process. Results showed that working volume is prospective to control the characteristics of product. Working volume manages the shear stress and the collision phenomena during the process. Specifically, the lower working volume led to the production of particles with blunt-edged morphology and sizes of several micrometers. Although working volume is potentially used for managing the final particle size, this parameter has a direct impact to the product yield and electricity consumption. Adjustment of the milling time is also important due to its relation to breaking material and electrical consumption.
The K-Means Algorithm for Generating Sets of Items in Educational Assessment Lala Septem Riza; Rendi Adistya Rosdiyana; Alejandro Rosales Pérez; Asep Wahyudin
Indonesian Journal of Science and Technology Vol 6, No 1 (2021): IJOST: VOLUME 6, ISSUE 1, April 2021
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v6i1.31523

Abstract

In a national-scale educational assessment system, such as the National Examination, the need for several sets of questions that have the same level of difficulty is very required to avoid cheating by students. Therefore, the objective, which is to make a set of questions with the same level of difficulty automatically, is done in this research. It used a machine learning approach, namely K-Means. To achieve this goal, several following procedures need to be implemented. Firstly, we need to create banks of questions to be assigned to students. Then, we build training data by determining the value of each question based on Bloom's Taxonomy, item characters/types, and other parameters. Then, with utilizing K-Means, several cluster centers are obtained to represent the uniformity of the questions in the cluster members. By using several heuristics criteria defined previously, several sets or packages of questions that have the same characteristics and difficulty levels are obtained. From the experiments conducted, the analysis with descriptive (i.e., mean, standard deviation, and data visualization) and inference (i.e., ANOVA) statistics of results are presented showing that questions of each sets have the same characteristics to ensure the fairness of examinations. Moreover, by using this system, the contents of the questions in the generated set do not need to be the same, the package of questions can be generated automatically quickly, and the level of the difficulties can be measured and guaranteed.
Improving students' creative thinking skills using BBC Microbit in Informatics subjects Muhammad Syafri Syamsudin; Gunarso; Lala Septem Riza; Suratno
Cendikia : Media Jurnal Ilmiah Pendidikan Vol 13 No 4 (2023): Maret: Education Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cendikia.v13i4.3637

Abstract

Information and communication technology (ICT) has become an integral part of modern life and has had a significant impact on the world of education, especially in vocational schools. Education is essentially a process for students to acquire knowledge and develop skills through learning experiences. In this study, the learning method used combines the Science, Technology, Engineering, and Math (STEM) disciplines with a focus on developing computer programs using micro:bit block programming to solve real-life problems. The results of the study show that the use of micro:bit as an alternative teaching method for computer science in vocational schools can improve students' creative thinking skills with an average score of 90 after treatment. This study used a pre-experimental design method with 35 subjects from the X grade of the Computer Network and Telecommunication Engineering program at SMK Negeri 1 Cirebon, using written tests and observations as data collection techniques. The use of simple and inexpensive technology products such as micro:bit can enhance learning effectiveness and help students better understand programming concepts. Therefore, micro:bit can be considered as an alternative teaching method for computer science in vocational schools.
Co-Authors Abdullah, Cep Ubad Abu Samah, Khyrina Airin Fariza Achmad Samsudin Ade Gafar Abdullah, Ade Gafar Ade Rohayati Ade Sobandi, Ade Adedokun-Shittu, Nafisat Afolake Adi Rahmat Ahmad Zainal Abidin Akbar, Anthonio Al Husaeni, Dwi Fitria Al Husaeni, Dwi Novia Aldi Zainafif Alejandro Rosales Pérez Alejandro Rosales-Pérez Alfitri, Latifahny Aridia Alivia, Zsalzsa Puspa Amay Suherman Amirah Misdan, Nur Farhanah Anisyah, Ani anne Hafina, anne Aqhbar Habib Arianti, Andini Setya Asep Bayu Dani Nandiyanto Asep Wahyudin Atqiya, Muhammad Azka AZ Pranata Budiana, Dian Budiman Budiman Cep Ubad Abdullah Dadang Lukman Hakim Destian, Rangga Dewini Dewini Didin Wahyudin, Didin Edy Soewono Edy Soewono Eka Fitrajaya Rahman Eki Nugraha Eliyawati Eliyawati Enjang Ali Nurdin Erlangga, E. Erna Piantari Faisal Syaiful Anwar Farhan Dhiyaa Pratama Fathimah, Nusuki Syari'ati Fatimah, Nusuki Syariati Ferry Mukharradi Simatupang Fidela Zhafirah Gerraldi, Alief Gintara, Andre Rangga Gunarso Hamzah, Raseeda Hasanah , Lilik Nur Hasrol Jono, Mohd Nor Hajar Hayati , Nurlaila Herbert Siregar Homdijah, Oom Siti Huda, Kirana Syafa Husni Firmansyah Ida Kaniawati ISKANDAR, AYSHA ALIA Isma Widiaty Jaja Kustija, Jaja Judhistira Aria Utama Junaeti, Enjun Kafilli, Muhammad Fikri Kenny David Kenny David Khyrina Airin Fariza Abu Samah Kuntjoro Adji Sidarto Kuntjoro Adji Sidarto Liliasari M. FURQON Mahmoud Fahsi Mediayani, Melani Mohd Nor Hajar Hasrol Jono Muhammad Afif Auliya Muhammad Aziz Muhammad Bahrul Ulum Muhammad Hazmi Zuhdi Muhammad Irfan Firmansyah Muhammad Ramdan Pamungkas Muhammad Syafri Syamsudin Mumu Komaro Munir Munir, Munir N. Nurjanah Nanang Dwi Ardi Naufal Rabah Wahidin Nazir, Shah Nor Aiza Moketar Novi Sofia Fitriasari Nur Maisarah Nor Azharludin Nuraulia, Anti Nurhayati, Ai Siti Nurqueen Sayang Dinnie Wirakarnain Nursalman, Muhammad Nusratullo, Samialloi Olyan, Warzuqni Parlindungan Sinaga Pérez, Alejandro Rosales Pertiwi, Anita Dyah Piantari, Erna Prabawa, Harsa Wara Prasetyaningsih Prasetyaningsih, Prasetyaningsih Prasetyaningsih, Prasetyaningsih Pudjo Sukarno Pudjo Sukarno Putri , Ananda Hafizhah Putri , Liandha Arieska Putri Amelia Solihah Putri, Iffa Ichwani Qobus, Muhammad Shofwan Rahman, M Ammar Fadhlur Rambari Apandi, Anjar Rani Megasari Raseeda Hamzah Rasim, Rasim Rena Zaen Rendi Adistya Rosdiyana Riandi Riandi Riezqa Andika Rika Rafikah Agustin Rizky Rachman Judie Rooseno Rahman Dewanto Rosa, Elisa Rosi Oktiani Rosyda, Miftahurrahma Safitri, Fibriyana Sahidin, M. Zaenal Iskandar Samah, Khyrina Airin Fariza Abu Sapiruddin, Sapiruddin Selvi Marcellia Shah Nazir Shah Nazir Siregar, Herbert Solihat, Syifa Sonjaya, Rebina Putri Sugeng Rifqi Mubaroq Suratno Susilawati, Susilawati Tarpin Juandi Taufiq Hidayat Topik Hidayat Tutuka Ariadji Tyas Farrah Dhiba Wahyudin Wahyudin - Wahyudin Wahyudin Sanusi Rosada Wahyudin Wahyudin Wahyudin, W. Wawan Setiawan Wibisono, Yudi Wihardi, Yaya Yudi Prasetyo Zain, Muhammad Iqbal Zainab Othman