Article Per Year (5 Year)
p-Index From 2021 - 2026
4.006
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Public Health Science (IJPHS) Jurnal Pendidikan Vokasi Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Natural A Jurnal POINTER Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Jurnal Teknik Otomotif Kajian Keilmuan dan Pengajaran Jurnal Preventia Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Multimedia Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian, Pendidikan dan Teknologi Jurnal Graha Pengabdian Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Abdimas Indonesian Journal Prosiding Seminar Kesehatan Nasional Sexophone National Journal of Occupational Health and Safety
Marji Marji
Fakultas Ilmu Komputer, Universitas Brawijaya
Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Public Health Social Sciences Other

Published : 97 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 97 Documents
Search

 6   7   8   9   10 
Analisis Sentimen Pariwisata di Kabupaten Malang dengan Menggunakan Metode BM25F, Neighbor Weighted K-Nearest Neighbor dan Seleksi Fitur Chi-Square Pratitha Vidya Sakta; Indriati Indriati; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

City Branding "The Heart of East Java" is one of the efforts used by the Malang District Tourism and Culture Office to market the region in the context of increasing regional tourism. Ratings and reviews relating to tourism in Malang Regency are numerous in the internet. One site to give ratings and reviews is on TripAdvisor. This study tries to analyze reviews from the public about Malang Regency tourism through sentiment analysis and is classified into two classes, positive and negative. In this study, sentiment analysis is carried out in several stages or processes. The process consists of preprocessing data, word weighting which is implemented using the BM25F algorithm, Neighbor Weighted K-Nearest Neighbor for document classification and Chi-Square for feature selection. K-Fold Cross Validation was tested (with K = 5) on the parameter 𝑘 for the classification of NWKNN, bc, boost and k1 for BM25F. The test results show that the determination of stream weight values ​​on BM25F sufficiently influences the results of the NWKNN classification. While the best final results for F-Measure, Accuracy, Precision, and Recall are produced at k = 30, chi-square ratio = 40%, constant (bc) = 0.5, boost head = 2, boost body = 5 and k1 = 1.9 as the best value for each parameter
Pengembangan Sistem Informasi Manajemen Kepegawaian (Studi Kasus: RSUD Dr. Iskak Tulungagung) Cindy Rizki Amalya; Adam Hendra Brata; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Current technological developments support the process of disseminating information quickly so that it can be accessed anywhere and anytime mobile. Not only government institutions or organizations based on information technology can enjoy the development of this technology. Other institutions and organizations also need to develop this technology to maximize the goals of the institution or organization. Likewise for RSUD Dr. Iskak Tulungagung, in order to provide maximum health services, surely there are a lot of employees needed. Therefore, there is a need for adequate employee management. But in its application, employee management is still done by storing employee data in the form of printed documents stored in a cupboard. So that there are still often problems such as the length of time in the search for data, storage of data that has not been arranged properly, and late notification to employees such as the existence of data that must be updated by employees. To handle with these problems, an Employment Management Information System (SIMPEG) was established which is expected to be able to solve these problems. This system is web based for easy access anytime and from anywhere through any device that has a browser and internet. In its development, using prototyping models to maximize the creation of a system in accordance with the wishes of the user. And to find out user satisfaction, a usability testing process will be carried out using the System Usability Scale (SUS) as the benchmark.
Pencarian Teks Pada Terjemahan Hadits Shahih Bukhari Dengan Metode WIDF dan Bray-Curtis Distance Luthfi Faisal Rafiq; Muhammad Tanzil Furqon; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 12 (2020): Desember 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

With the development of the application technology for searching the Hadith translation text in digital form, it is one of the good learning media to help the Hadith learning process. There have been many types of digital Hadith that have been spread. However, most of the Hadith translation text searches still use keyword-based search technology, which will result in some related Hadith translation texts not being displayed or irrelevant Hadith translation texts being displayed. To solve this problem, this study uses a term weighting algorithm and distance measurement to maximize the search results for the Hadith text. Several stages in this research are the text preprocessing stage which produces terms to represent documents, the term Weighted Inverse Document Frequency (WIDF) weighting method to provide weight values ​​for each term and the Bray-Curtis distance measurement to determine the similarity between the query and the document. In the testing process used 5 different queries and Mean Average Precision (MAP). The results of testing the effect of using term weighting, the term weighting with the best performance is WIDF weighting with a MAP value of 0.71 when the number of documents returned is 5. For the test results of the distance measurement algorithm, the best distance measurement algorithm is Bray-Curtis Distance with a MAP value of 0.71 while in Euclidean the MAP value is 0.2 on the same number of returned documents. Meanwhile, the results of the test evaluation showed that the best variation in the value of n on the number of n documents returned was 5 with a MAP value of 0.632. The greater the n value, the greater the diversity of documents, as a result, the greater the chance for irrelevant documents to be taken which causes the MAP value to decrease.
Pengembangan Domain Specific Language untuk Aplikasi CRUD Berbasis Web Michael Adrian Halomoan; Agi Putra Kharisma; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Domain Specific Language (DSL) is a programming language designed to solve specific problems from a domain and has a limited syntax. This DSL can be useful for speeding up a job arrangement. By using DSL, we can determine the basic system functionality and automatically generate a source code. In the development process of web applications, especially in terms of implementation, developers are required to be able to produce a web application that is fast, and also according to the needs desired by the user or users who want to use the web. The problem that arises from the development process is that there are differences in requirements or requests, so that there is a gap between the program code and the concept, which includes modeling, generators, and the output of the system. To speed up the manufacturing process, a Domain Specific Language Development was carried out to be able to create a website with a predetermined domain, so that the development process could start more quickly. Based on these problems, a website application was developed by doing a domain analysis, using DSL, Xtext library, and the PHP programming language. This study produces a simple CRUD application to store student data which is the result of the implementation of the Domain Specific Language design. From the tests that have been carried out, the value is 100% valid on unit testing, and validation which shows that the system functions are in accordance with the design.
Klasifikasi Body Shaming Berbahasa Indonesia pada Komentar Instagram dengan Pembobotan TF-IDF-C menggunakan Metode Modified K-Nearest Neighbor (MK-NN) Audi Nuermey Hanafi; Muhammad Tanzil Furqon; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Body shaming is the act of denouncing one's physical appearance or even oneself. Some of the negative effects of body shaming include the victim feeling embarrassed, lack of confidence, and depression. The most terrible impact that can be caused by body shaming is suicide. Body shaming is often found on social media, especially Instagram. The classification system does a body shaming great job of classifying Instagram comments regarding body shaming more efficiently. This classification system body shaming has several stages. The first stage is data collection in the form of Instagram comments. This study collected 230 comments data. The second stage is text processing. Furthermore, the third stage is word weighting using the TF-IDF-C method. After obtaining the weight of each word, then the classification stage uses the method Modified K-Nearest Neighbor (MK-NN). The final result in the form of category classification of test data would enter the category of body shaming or not the body shaming. Based on the test results, the best average accuracy value is 0.530 or 53%. This proves that the TF-IDF-C weighting method and the MK-NN classification method produces the highest level of accuracy when using 60 features and K = 1. However, the level of accuracy is not good in classifying body shaming in Instagram comments.
Prediksi Inflasi menggunakan Indeks Harga Konsumen Kota Malang dengan Metode Extreme Learning Machine Muhamad Altof; Nurul Hidayat; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Countries that experience a decrease in the value of their currency are often said to be inflation, where when inflation occurs the prices of goods and services will increase, if this situation is not anticipated by policy makers and the public it will have a negative impact on daily life, with these problems the prediction system will be very help to measure the rate of inflation, an indicator called the Consumer Price Index is needed, this will calculate the mean value of the price of goods used by the public, within a certain time, to overcome this problem, a system that can predict the rate of inflation quickly and accurately is needed. The ELM method is included in the Artificial Neural Network, ELM is divided into a training and testing process, then an evaluation of the error rate is carried out using the Mean Absolute Percentage Error method, after being tested 10 times using the parameter number of features as many as 4, 6 neurons, comparison With 60% training data, 40% testing, the lowest error rate is 1.54%, which means that the ELM method has high speed and accuracy.
Optimasi Penjadwalan Kegiatan Belajar Mengajar Pada Pondok Pesantren Menggunakan Algoritme Genetika (Studi Kasus : Pondok Pesantren Yayasan Bani Syihab Nasrulloh) Yamlikho Karma; Nurul Hidayat; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

The manual scheduling process is considered inefficient because it takes a long time. If the number of components increases or the amount of data per component increases, scheduling problems will be more complex.. The expected result of the schedule is not only a schedule that does not clash with teacher meeting, but a schedule that can be adjusted according to several conditions that must be fulfilled in the schedule. A genetic algorithm is an iterative, adaptive and probabilistic algorithm for global optimization.. The chromosome initialization process is generated from the teacher's assignment data with an integer number representation, where each gene contains a randomly generated assignment code. Each chromosome with the highest fitness value represents the solution of the course schedule. From the testing process, it was found that the best population number is 100, the combined numbers of Cr and Mr are 0,5 and 0,5, and the generation number is 1000. These parameters are used for the process of finding a solution so that the fitness number is 0,9985.
Sentimen Analisis Layanan Produk Indihome menggunakan Information Gain dan Metode K-Nearest Neighbor Atika Anggraeni; Imam Cholissodin; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

The development of the times from time to time increasingly influences the digital era in various parts of the world, because the development of this era requires an internet network. Users who need an internet network come from various groups, from students to workers. The increasing of internet network labor every year so that it can generate profits for internet service providers, one of which is PT. Telekomunikasi Indonesia, Tbk (Telkom). Users on the internet network provided by this company are people throughout Indonesia. Because of this, it is possible that there are encouraging suggestions or complaints from customers. In this study using responses from the public in the form of positive comments and negative comments. To find out whether these comments are positive or negative, you must carry out several stages of analysis to get the final result. The steps taken are pre-processing, Information Gain feature selection, term weighting and classification of the K-Nearest Neighbor (KNN) algorithm. This study uses 480 training data and 120 test data. This study obtained the highest accuracy value of 86.67%, with a precision of 94.44%, a recall of 81.73%, and f-measure of 91,30%.
Klasifikasi Penyakit Infeksi Saluran Pernapasan Akut (ISPA) dengan menerapkan Metode Fuzzy K-Nearest Neighbor Jeffrey Simanjuntak; Edy Santoso; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Acute Respiratory Infection (ARI) is an infection of the respiratory tract, this respiratory disease causes symptoms such as cough, cold, and fever. Acute Respiratory Infection disease can be very dangerous, ARI will spread throughout the respiratory system if not treated quickly. Groups of people who are susceptible to this disease are those who have weak body divine power, namely those who have immune system disorders, people with old age, and children. ARI can easily attack children because children have an immature immune system. In this study, the Fuzzy K-Nearest Neighbor algorithm is used on the system for classify ARI diseases. In this study, Acute Respiratory Infection was classified into mild Acute Respiratory Infection and severe Acute Respiratory Infection. The clarification process in this research consists of normalization, Euclidean distance, then Fuzzy K-Nearest Neighbor classification. The results of the test using 10 test data and 50 training data, obtained an accuracy of 90% at K = 10, then tested the effect of the K value on the accuracy at K between 2 to 10 with the highest result at K = 7 which is 90%. The accuracy value obtained by the system remains the same until K = 10, which is 90%.
Peramalan Jumlah Produksi Padi menggunakan Metode Backpropagation Dwi Yana Wijaya; Muhammad Tanzil Furqon; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Paddy a crop that produces rice is a is the most important product for the people of Indonesia. Rice at an affordable price for the community is one of the important factors to maintain national resilience and government stability. In this case, forecasting rice production can be used as a consideration for the government to take a policy because forecasting rice production can provide an overview of information in the form of the number of products produced in the future. This study uses the Backpropagation method to forecast the amount of rice production and to evaluate the error value using the Mean Absolute Percentage Error (MAPE). Forecasting paddy production is carried out in several provinces such as DKI Jakarta, West Java, North Sumatra, Riau, and Banten. This study resulted in the smallest MAPE value with a value of 7.39%. This value is generated from data from the province of West Java with 10 neurons as input neurons, 3 hidden neurons, with initial weight and bias range value from -0.8 to 0.8, a learning rate value of 0.6, and an epoch of 50 times.
Co-Authors Achmad Burhannudin Adam Hendra Brata Adhikari, Basanta Prasad Adhiyatma Mugiprakoso Afifah, Nadiyah Hanun Agi Putra Kharisma Agung Kurniawan Agustian, Moch. Alfredo Barta Ahmad Fauzan Rahman Ahmad, Baihaqi Aldy Satria Andika Harlan Andini Agustina Anita Sulistyorini Annisa Selma Zakia Ardhimas Ilham Bagus Pranata Arifin, Maulana Muhamad Asti Melani Astari Atika Anggraeni Audi Nuermey Hanafi Bagus Abdan Aziz Fahriansyah Bahruddin El Hayat Baihaq, Firda Barlian, Salwa Isna Bayu Rahayudi Bayu Septyo Adi Budi Darma Setiawan Budi Darma Stiawan Cahyo Adi Prasojo Candra Ardiansyah Choirul Anam Cindy Puspita Sari Cindy Rizki Amalya Dani Irawan Daud, Nathan Dea Widya Hutami Dewi Yanti Liliana Dian Eka R Dian Eka Ratnawati Djoko Kustono Dwi Yana Wijaya Dyva Agna Fauzan Edy Santoso Edy Santoso Edy Santoso Endang Wahyu Handamari Erwin Komara Mindarta Fanani, Erianto Fatih Kamala Nurika Gilang Ramadhan Gustian Ri'pi Hadi, Moch. Sholihul Handoyo, Samingun Hary Suswanto Hasan Ismail Ilham Romadhona Imam Cholisoddin Imam Cholissodin Imam Muda Nauri Imran Imran Indriati Indriati Indriati Indriati Issa Arwani Istiana Rachmi Istiqomah, Mutiara Titian Januar Dwi Amanda Jeffrey Simanjuntak Kenty Wantri A Kohei Arai Kurnianingtyas, Diva Lailatul Fitriah Lailil Muflikah Lailil Muflikhah Lailil Muflikkah Laily Putri Rizby Laksono Trisnantoro Leni Istikomah Liana Shanty Wato Wele Keaan Lilik Zuhriyah Lilis Damayanti Luthfi Faisal Rafiq M Chandra Cahyo Utomo M. Alfian Mizar Made Bela Pramesthi Putri Mahmudi, Wayan Firdaus Maududi, Affan Al Michael Adrian Halomoan Mochammad Pratama Viadi Mountaz, Lotu Muchammad Harly Muhamad Altof Muhamad Hilmi Hibatullah Muhammad Fakhri Mubarak Muhammad Hafidzullah Muhammad Indra Harjunada Muhammad Ramanda Hasibuan Muhammad Rizkan Arif Muhammad Robby Dharmawan Muhammad Tanzil Furqon Muhammad, Naufalsyah Falah Muzdalifah Yully Ayu Nonny Aji Sunaryo Nurul Hidaya Nurul Hidayat Nurul Hidayat Okvio Akbar Karuniawan P. P. S, Gladis Viona Pangestu, Wiyan Dwi Panji Prasuci Saputra Paryono Permadani , Anda Permatasari, Adelia Pratitha Vidya Sakta Prawidiastri, Firnadila Pricielya Alviyonita Rafely Chandra Rizkilillah Ratih Kartika Dewi Ratna Candra Ika Razaq, Hilal Nurfadhilah Retiana Fadma Pertiwi Sinaga Revinda Bertananda Riana Nurmalasari Ricky Irfandi Ricky Marten Sahalatua Tumangger Rizqi Addin Arfiansyah Rosalinda, Nadia Ryan Mahaputra Krishnanda Sabrina Hanifah Sari, Resti Novita Shinta Anggun Larasati Sri Wahyuni Sri Widyarti Sumarli Sumarli, Sumarli Supraptoa Supraptoa Supriyadi Supriyadi Sutrisno Sutrisno Swandy Raja Manaek Pakpahan Syarif Suhartadi Tahtri Nadia Utami Tawang Wulandari Tika Dwi Tama Usman Adi Nugroho Wayan Firdaus Mahmudy Wulandadi, Retno Yamlikho Karma Yayuk Wiwin Nur Fitriya Yuita Arum Sari Yusufrakadhinata, Muhammad Zulianur Khaqiqiyah