Article Per Year (5 Year)
p-Index From 2021 - 2026
5.862
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) International Journal of Advances in Intelligent Informatics Jurnal Informatika Jurnal Pilar Nusa Mandiri JTERA (Jurnal Teknologi Rekayasa) Techno Nusa Mandiri : Journal of Computing and Information Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING ILKOM Jurnal Ilmiah EXPLORE Jurnal Mantik International Journal of Informatics and Computation INFOKUM Infotek : Jurnal Informatika dan Teknologi Jurnal Kompilasi Hukum Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi EXPLORE Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Computer and Technology Explore Jurnal Karya untuk Masyarakat (JKuM) Green Engineering: Journal of Engineering and Applied Science
Imran, Bahtiar
Universitas Teknologi Mataram
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering 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

Published : 54 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 54 Documents
Search

 1   2   3   4   5 
Implementasi Website Portal Sekolah Sebagai Media Promosi dan Penyampaian Informasi (Studi Kasus : SMAN 1 Praya Timur) Baiq Nonik Ria Riska; Bahtiar Imran; Erfan Wahyudi; Hasan Basri
Explore Vol 7 No 2 (2017): Juli 2017
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v7i2.10

Abstract

Peranan teknologi informasi pada aktivitas manusia pada saat ini begitu besar. Teknologiinformasi telah menjadi fasilitator utama bagi perusahaan dan organisasi. Hal inilah yang memberikankemudahan bagi manusia untuk melakukan pekerjaan serta mendapatkan informasi dengan lebih cepat.Salah satu teknologi informasi yang berkembang saat ini adalah website atau lebih dikenal dengansebutan web, yang merupakan suatu koleksi dokumen elektronik pribadi atau perusahaan dalam serverweb yang digunakan untuk mengakses berbagai informasi. SMAN 1 Praya Timur belum memiliki websiteyang digunakan untuk menyebarkan informasi kepada masyarakat, sehingga keberadaan sekolah SMAN1 Praya Timur belum diketahui keberadaannya oleh masyarakat luas. Website portal ini dibangunmenggunakan bahasa permrograman PHP. Dengan adanya website portal ini dapat membantu pihaksekolah dalam melakukan promosi dan penyampaian informasi kepada masyarakat.
Pelatihan Pembuatan Website Bagi Staf Desa di Desa Teratak Kecamatan Batukliang Utara Kabupaten Lombok Tengah Zaenudin Zaenudin; Lalu Delsi Samsumar, M.Eng.; Amirudin Kalbuadi; Bahtiar Imran
Jurnal Karya untuk Masyarakat (JKuM) Vol 3, No 2 (2022): Jurnal Karya untuk Masyarakat
Publisher : STARKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36914/jkum.v3i2.797

Abstract

Desa Teratak merupakan desa dari beberapa desa yang ada dikecamatan Batukliang Utara Kabupaten Lombok Tengah. Desa Teratak Terdiri dari 73 Rukun Tangga Dan 12 Rukun Warga, dan 3429 KK. Desa Teratak berbatasan dengan Desa Aik Berik disebelah utara, Desa Selebung di sebelah selatan, Desa Selebung di sebelah barat, serta Desa Aiq Bukak di sebelah timur. Desa Teratak merupakan desa yang memiliki potensi kerajinan, industri di bidang perikanan, pertanian, dan pariwisata. Potensi Kerajinan yang terkenal di Desa Teratak yaitu kerajinan bambu yaitu bakul. Industri perikanan yang berkembang di Desa Teratak antara lain Nila, Koi, dan Gurami. Potensi pertanian yaitu padi. Sedangkan Potensi Wisata yaitu Geopark Rinjani, Tereng Kuning, Danau Biru, Air Terjun Elong Tune, Air terjun Serawah, dan kuliner. Selama ini desa teratak belum memiliki website desa sebagai sarana informasi kepada masyarakat, oleh karena itu dibuatlah kegiatan pelatihan ini bertujuan membuat dan menerapkan website desa teratak, pada pelatihan ini menghasilkan sebuah website yang di hosting dengan alamat alamat https://desateratak.com pemeranan website ini di harapkan dapat meningkatkan informasi kepada masyarakt dengan tepat tentang kegiatan pemerintah khususnya desa, pelanyanan kepada masyarakat dan dapat menjadi media promosi bagi desa teratak. ABSTRACT Teratak Village is one of several villages in North Batukliang District, Central Lombok Regency. Teratak Village consists of 73 pillars of stairs and 12 pillars of residents, and 3429 families. Teratak Village is directly adjacent to Aik Berik Village in the north, Selebung Village in the south, Selebung Village in the west, and Aiq Bukak Village in the east. Teratak Village is a village that has potential for handicrafts, industries in the fields of fisheries, agriculture, and tourism. The famous potential for handicrafts in Teratak Village is bamboo handicrafts, namely baskets. The fishing industry that is developing in Teratak Village includes Nila, Koi, and Gurami. Agricultural potential is rice. Meanwhile, the tourism potentials are Geopark Rinjani, Tereng Kuning, Blue Lake, Elong Tune Waterfall, Serawah Waterfall, and culinary. So far, the teratak village does not yet have a village website as a means of information to the community, therefore this training activity was made with the aim of creating and implementing a teratak village website, this training resulted in a website that was hosted with the address https://desateratak.com website role This is expected to increase information to the community correctly about government activities, especially villages, services to the community and can be a promotional media for the Teratak village.
Analisis Rekaman Suara pada Aplikasi Magic Call dengan Metode Forensik Audio untuk Mendapatkan Bukti Digital Subki, Ahmad; Karim, Muh Nasirudin; Imran, Bahtiar
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 13 No 2 (2023): September 2023
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v13i2.373

Abstract

Audio forensics is a method used to analyze sound or audio recordings. Voice or audio recording is one of the digital evidence that is easy to manipulate. One way to manipulate sound is to use magic call. Magic call has several levels of character voices that can be used such as cartoon, children, male and female voices. The analysis of the original voice recording with the magic voice recording is done by comparing the magic call sound and the voice with the original voice recording. The purpose of this study was to determine the voice recording produced by magic call from the magic call applications. As for the method used in this research is audio forensics, research on magic call sound using audio has never been done before. The results of this study indicate that the analysis of magic call sound recordings can be done using formant analysis and spectrograms, while pitch analysis on magic call voice recordings cannot be used. The formant and spectrogram values on magical voice recordings can still be searched because the original voice recordings have characteristics that are still attached to the magic recording calls.
Combination of gray level co-occurrence matrix and artificial neural networks for classification of COVID-19 based on chest X-ray images Imran, Bahtiar; Delsi Samsumar, Lalu; Subki, Ahmad; Zaeniah, Zaeniah; Salman, Salman; Rijal Alfian, Muhammad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1625-1631

Abstract

This research uses the gray level co-occurrence matrix (GLCM) and artificial neural networks to classify COVID-19 images based on chest X-ray images. According to previous studies, there has never been a researcher who has integrated GLCM with artificial neural networks. Epochs 10, 30, 50, 70, 100, and 120 were used in this research. The total number of data points used in this investigation was 600, divided into 300 normal chests and 300 COVID-19 data points. Epoch 10 had 91% accuracy, epoch 30 had 91% accuracy, epoch 50 had 92% accuracy, epoch 70 had 91% accuracy, epoch 100 had 92% accuracy, and epoch 120 had 90% accuracy in categorization. As indicated by the results of the classification tests, combining GLCM and artificial neural networks can produce good results; a combination of these methods can yield a classification for COVID-19.
CLASSIFICATION OF LOMBOK SONGKET CLOTH IMAGE USING CONVOLUTION NEURAL NETWORK METHOD (CNN) Hambali, Hambali; Mahayadi, Mahayadi; Imran, Bahtiar
Jurnal Pilar Nusa Mandiri Vol 17 No 2 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i2.2705

Abstract

The diversity of tribes makes Indonesia rich in culture that characterizes it, one of which is traditional cloth. Through a variety of patterns and motifs that exist in traditional fabrics, reflecting the life, customs, and culture that exist in an area. Lombok is one of the areas that produces a typical songket cloth. The famous songket craft centers in Lombok are located in the Pringgasela area, Pringgasela District, Sade Village is in Pujut District, Central Lombok Regency and Sukarara is in Jonggat District, Central Lombok Regency. Each area of ​​the center for songket craftsmen has their own characteristics both in terms of the name, motif and texture. When viewed with the naked eye, the texture of each songket will look the same, to be able to know the differences in the texture of each songket, it is necessary to do a classification using computers or technology. Today's society still does not know much information about the textures of songket cloth. The method used to classify the typical Lombok songket in this study uses the Convolution Neural Network (CNN) method. The results obtained from the use of 64 datasets, with details of 40 types of Sade songket and 24 types of Pringgasela songket, after the dataset is trained it produces 86.36% accuracy, 87% precision, 86% recall, and 86% F1-Score. Keywords: Histogram Equalization, Convolution Neural Network, Songket Cloth.
DATA MINING USING RANDOM FOREST, NAÏVE BAYES, AND ADABOOST MODELS FOR PREDICTION AND CLASSIFICATION OF BENIGN AND MALIGNANT BREAST CANCER Imran, Bahtiar; Hambali, Hambali; Subki, Ahmad; Zaeniah, Zaeniah; Yani, Ahmad; Alfian, Muhammad Rijal
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2912

Abstract

This study predicts and classifies benign and malignant breast cancer using 3 classification models. The method used in this research is Random Forest, Naïve Bayes and AdaBoost. The prediction results get Random Forest = 100%, Naïve Bayes = 80% and AdaBoost = 80%. Results using Test and Score with Number of Folds 2, 5 and 10. Number of Folds 2 Random Forest model Accuracy = 95%, Precision = 95% and Recall = 95%, Naïve Bayes Accuracy = 93%, Precision = 93% and Recall 93%, AdaBoost Accuracy = 90%, Precision = 90% and Recall = 90%. With Number of Folds 5 with Random Forest = 96%, Precision = 96% and Recall 96%. Naïve Bayes Accuracy value = 94%, Precision = 94% and Recall = 94%, AdaBoost Accuracy value = 93%, Precision = 93% and Recall = 93%. With Number of Folds 10 Random Forest model = 96%, Precision = 96% and Recall 96%. Naïve Bayes Accuracy value = 94%, Precision = 94% and Recall = 94%, AdaBoost Accuracy value = 92%, Precision = 92% and Recall = 92%. Of the 3 models used, Random Forest got the best classification results compared to the others.
LOMBOK PEARL QUALITY CLASSIFICATION USING A COMBINATION OF FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS BASED ON SHAPE Imran, Bahtiar; Yani, Ahmad; Muslim, Rudi; Zaeniah, Zaeniah
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3507

Abstract

Lombok is attracted to the Moto GP event, which is held annually. Various tourism brands are owned by the island of Lombok, one of which is Mutiara. The ideal Pearl is perfectly round and smooth, but there are a variety of other shapes as well. One method that can be used to process Pearl's image is Computer Vision. For that, it is necessary to have a way to classify the quality of a Pearl based on its shape. The purpose of this study is to propose a system for pearl image classification by combining feature extraction with artificial neural networks. The method used in this study is GLCM feature extraction and Neural Networks. The proposed system can provide good classification results by combining the GLCM method and the Neural Network. This study uses Epochs 5, 10, 15, 30, 50, 100, 200, 300, and 500 with a learning rate of 0.5. The results of this study indicate that Epoch 100 gives the highest accuracy, 91.66%.
DECISION SUPPORT SYSTEM OF REWARDING ON LECTURER PERFORMANCE USING FUZZY TSUKAMOTO METHOD CASE STUDY AT MATARAM UNIVERSITY OF TECHNOLOGY Yani, Ahmad; Zenuddin, Z; Hambali, H; Muslim, Rudi; Imran, Bahtiar
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3548

Abstract

To prepare quality and character human resources, Mataram Technological University strives to provide the best in carrying out the tridharma activities of higher education, one of which is by giving rewards in the hope that morale and loyalty can continue to be improved. However, the gift-giving system that the Mataram Technological University has implemented has not been able to bring about change because the gift-giving system is incorrect. This is because the applied reward-giving assessment system only refers to the assessment without paying attention to other criteria in the tridharma of higher education. Such as the implementation of learning, Research, and community service. Therefore, to overcome this problem, a decision support information system for awarding lecturer performance is needed, which is built using the fuzzy Tsukamoto method by considering several criteria such as Presence, Research Results, and Community Service Results. Lecturer Performance Index in carrying out the learning process. With this decision support system, the implementation of the Tridharma carried out by lecturers can continue to monitor the system and improve the quality and accreditation of study programs and universities.
MAPPING LOCATIONS AND SHORTEST ROUTE OF TOURISM OBJECTS IN CENTRAL LOMBOK USING GIS-BASED A-STAR ALGORITHM Muslim, Rudi; Hidayatullah, Beni Ari; Imran, Bahtiar; Yani, Ahmad; Salman, Salman
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3927

Abstract

Central Lombok tourism is a tourism that foreign and domestic tourists often visit. There are many tourist objects offered by the Central Lombok Government, such as waterfall tours, beach tours, traditional village tours, cultural tours, and Pertamina Mandalika International Street Circuit. However, there are many tourist objects, and not all tourists know the location of these tourist objects. Tourists often experience constraints, are the location of tourist objects that is not quite right, it is still difficult to determine the shortest route to the location, and the lack of complete information about existing tourist objects, which can hinder the journey of tourists to the destination location. This study aims to map the location and shortest route of tourism objects in Central Lombok using an Android-based Geographic Information System by applying the A-Star algorithm. The results of this study are to develop an Android-based Geographic Information System or GIS by applying the star algorithm to Central Lombok tourism objects. So that the mapping of the location and information of tourist objects and obtain the search for the shortest route to tourist objects. The A-Star algorithm uses heuristic principles to find the shortest route to a tourism object and is optimal in finding the shortest route to tourism objects
Disease Detection of Rice and Chili Based on Image Classification Using Convolutional Neural Network Android-Based Muslim, Rudi; Zaeniah, Zaeniah; Akbar, Ardiyallah; Imran, Bahtiar; Zaenudin, Zaenudin
Jurnal Pilar Nusa Mandiri Vol 19 No 2 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i2.4669

Abstract

The current development of machine learning makes it easier for humans to obtain information, especially from images. The presence of processing assistance from machines can increase the accuracy of the information provided to further convince the recipient of the information. Rice and chili farmers in Indonesia have experienced many disease attacks from several types of plant diseases. Not many farmers understand and are good at guessing the diseases that attack their rice and chili plants. So many rice and chili farmers experienced crop failure. This research aims to build a disease-detection system for rice and chili plants based on Android-based image classification. The machine learning method used is Convolutional Neural Network (CNN) with the Mobile Net version one model combined with the Sequential CNN and Tensor Flow Lite models. The results of the transfer learning evaluation on the Mobile Net version 1 model and the sequential CNN model obtained training accuracy of 0.88% with a loss of 0.34%, validation accuracy of 0.84% with a loss of 0.40%, and testing accuracy of 86% with a loss of 43%. Each uses batch 69 of the total training data stopping at epoch 30 from epoch 100. The results of field testing on the application of rice and chili disease detection on 20 images of rice and chili plants can detect Rice Neck Blast disease with a probability of 75% to 100% and Rice Hispa with a probability of 97% to 100%. It can also detect chili plant diseases such as Chili Yellowish with a probability of 83%, Chili Leaf Spot with a probability of 99%, Chili Whitefly with a probability of 91% to 95, Chili Healthy with a probability of 78% to 99%, and Chili Leaf Curl with a probability 75 to 76%. The probability obtained varies according to how likely damage is to rice and chili plants. CNN with the Mobile Net version one model and the Sequential model can extract and classify images so that it has maximum information processing capabilities. This research can make it easier to help farmers identify diseases that attack their rice and chili plants.
Co-Authors AA Sudharmawan, AA Abba Suganda Girsang, Abba Suganda ahmad yani Ahmad Yani Akbar, Ardiyallah Akhmad Muzakka Amirudin Kalbuadi Anak Agung Istri Sri Wiadnyani Atika Zahra Nirmala Baihaki, Makmun Baiq Nonik Ria Riska Baiq Nonik Ria Riska Diki Hananta Firdaus Efendi, Muhamad Masjun Erfan Wahyudi erniwati, surni Fachrul Kurniawan Febri, Elin Febriani Giardi, Muh Hamzah Andung Hambali Hambali Hambali Hambali Hambali, H Hamim, Lutfi Hasan Basri Hendri Ramdan Hidayatullah, Beni Ari Karim, Muh Nasirudin Karina Nurwijayanti Karya Gunawan Karya Gunawan Lalu Darmawan Bakti, Lalu Darmawan Lalu Delsi Samsumar, M.Eng. M Zulpahmi M. Zulpahmi M. Zulpahmi Mahayadi, Mahayadi Makmun Baihaki Marroh, Zahrotul Isti’anah Moch Arief Soeleman Moh. Arief Soeleman Muahidin, Zumratul Muh. Akshar Muhammad Rijal Alfian Muhammad Zohri Mutaqin, Zaenul Muttaqin, Athaur Muzakka, Akhmad Ndang, Rijalul Mujahidin Nining Putri Ningsih Nunung Rahmania Nurkholis, Lalu Moh. Pratama, Rifqy Hamdani Purnamasidi, Hanis Purwanto Purwanto Ricardus Anggi Pramunendar Riska, Baiq Nonik Ria Rosida, Sri Rudi Muslim Rudi Muslim Salman Salman Salman Salman Salman Saputra, Dede Haris Satriawan, Andre Selamet Riadi Selamet Riadi Sriasih, Sriasih Subektiningsih Subektiningsih Subki, Ahmad Suharjito Suharjito, Suharjito Suhartono Supardianto Supardianto Suryadi, Emi Tahrir, Muhammad Zaeniah Zaeniah Zaeniah Zaeniah Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zahroni, Teguh Rizali Zenuddin, Z Zulpahmi, M Zulpahmi, M. Zulpan Hadi