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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 JTIM : Jurnal Teknologi Informasi dan Multimedia 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)
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

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Data mining using a support vector machine, decision tree, logistic regression and random forest for pneumonia prediction and classification Bahtiar Imran; Zaeniah; Sriasih Sriasih; Surni Erniwati; Salman Salman
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (647.624 KB)

Abstract

This study uses Data Mining with four classification models. The object of this research is pneumonia data. The proposed models are Support Vector Machine (SVM), Decision Tree, Logistic Regression and Random Forest. Tests have been carried out using Cross-Validation Sampling and Stratified Sampling using several Folds of 3, 10 and 20. The results obtained are Logistic Regression models get the highest and most consistent accuracy results compared to SVM, Decision Tree and Random Forest. The tests evidence this carried out with the results of Number of Folds 3 getting the AUC value of 0.990, Accuracy 0.962, F1 0.962, Precision 0.962 and Recall 0.962. Number of Folds 10 gets the AUC value of 0.991, Accuracy 0.961, F1 0.961, Precision 0.961 and Recall 0.961. Number of Folds 20 gets AUC 0.991, Accuracy 0.965, F1 0.965, Precision 0.965 and Recall 0.965. From this study, Logistic Regression got good results for predicting and classifying pneumonia.
Aplikasi Sistem Penunjang Keputusan Pemilihan Konsentrasi Jurusan Pada Program Studi XYZ Dengan Metode Promethee Lalu Delsi Samsumar; Bahtiar Imran; Salman; Zaenudin
Prosiding SISFOTEK Vol 5 No 1 (2021): SISFOTEK V 2021
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (636.686 KB)

Abstract

the choice of majoring concentration is something that must be done by every student in the study program when entering Semester 5, where in the XYZ study program at private universities there are three concentration options, namely multimedia, network and RPL. So far, the selection of majors concentration is still inefficient because it does not have a strong basis for consideration when choosing the concentration of majors, there are even some students who prefer to change majors, the cause is that the majors that have been chosen are not in accordance with their abilities and have difficulty in following the lecture material. core. To identify the problems faced by students in choosing the concentration of majors, the promethee approach is used. One of the multivariate decision-making/optimization techniques used in policy analysis, in order to obtain solutions or results from the best alternative majors to be recommended to students. The purpose of this research is to build a web-based DSS application in the Selection of Major Concentrations in the Study Program so that it can assist students in choosing the concentration of majors. The results showed that the ranking of promethee I was based on the value of leaving flow and entry flow (Partial Ranking) while promethee II was based on the value of net flow (Complete Ranking). The application accuracy rate is 70%, this test is carried out by comparing the original data of students who have chosen the concentration of majors with the results of calculations on the system. Of the 30 students who were processed using the promethee SPK, only 21 students were declared in accordance with the original data from the concentration of the majors, this happened because of the lack of consideration of students when choosing the concentration of majors.
ANALISIS BUKTI DIGITAL WHATSAPP PADA ANDROID SMARTPHONE MENGGUNAKAN METODE LIVE FORENSIC Erfan Wahyudi; Karya Gunawan; Bahtiar Imran; M Zulpahmi
Jurnal Explore Vol 10, No 2 (2020): JULI
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1109.647 KB) | DOI: 10.35200/explore.v10i2.428

Abstract

Abstract : The rapid development of technology, can cause problems for users of the technology itself, the more advanced the life of the community, the crime is also getting more advanced. Smartphone is a form of technology used for defamation (Cyberbuliying) through whatsapp (WA) facilities. When a smartphone is used to commit a crime, the smartphone can be confiscated by law enforcement as evidence. The way to prove it to get valid evidence is to conduct an investigation using the live forensic method that has been developed so that it can be used for the smartphone investigation process. The result is digital evidence of deleted image files that can still be recovered using the live forensic method.Keywords: Evidence, live forensic, SmartphoneAbstrak - Perkembangan teknologi yang semakin pesat, dapat menimbulkan permasalahan bagi pengguna teknologi itu sendiri, semakin maju kehidupan masyarakat, maka kejahatan juga ikut semakin maju. Smartphone merupakan salah satu bentuk teknologi yang digunakan untuk melakukan pencemaran nama baik (Cyberbuiying) melalui fasilitas whatsapp (WA). Pada saat smartphone yang digunakan untuk melakukan kejahatan maka smartphone tersebut dapat disita oleh aparat penegak hukum sebagai salah satu barang bukti. Cara pembuktian untuk mendapatkan bukti yang valid adalah dengan melakukan investigasi menggunakan metode live forensic yang telah dikembangkan sehingga dapat digunakan untuk proses investigasi smartphone. Hasilnya adalah bukti digital berupa file gambar yang sudah terhapus masih bisa di recovery menggunakan metode live forensic.Kata Kunci: Barang Bukti, live forensic, Smartphone.
Penerapan SIPI (Sistem Informasi Pendaftaran IGD) pada UPTD Puskesmas Senaru Makmun Baihaki; Bahtiar Imran; Erfan Wahyudi
Jurnal Explore Vol 8, No 2 (2018)
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.696 KB) | DOI: 10.35200/explore.v8i2.133

Abstract

Untuk pendaftaran IGD dan pelaporan pada puskesmas senaru masih bersifat manual sehingga kemungkinan terjadinya kesalahan sangat besar, untuk itu puskesmas senaru membutuhkan sebuah sistem yang dapat meminimalisir terjadinya kesalahan tersebut. Pada penelitian ini, diusulkan penerapan SIPI (Sistem Informasi Pendaftaran IGD) dalam mengatasi permasalahan yang ada pada puskesmas senaru. Aplikasi SIPI di buat menggunakan bahasa pemrograman PHP dan MySQL sedangkan untuk metode pengembangan aplikasi menggunakan metode waterfall. Dengan adanya aplikasi SIPI (Sistem Informasi Pendaftaran IGD) ini dapat membantu puskesmas senaru dalam melakukan pengolahan data pasien, transaksi pendaftaran IGD, dan pelaporan.
Implementasi Website Portal Sekolah Sebagai Media Promosi dan Penyampaian Informasi (Studi Kasus : SMAN 1 Praya Timur) Baiq Nonik Ria Riska; Bahtiar Imran; Erfan Wahyudi
Jurnal Explore Vol 7, No 2 (2017)
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.72 KB) | DOI: 10.35200/explore.v7i2.29

Abstract

Peranan teknologi informasi pada aktivitas manusia pada saat ini begitu besar. Teknologi informasi telah menjadi fasilitator utama bagi perusahaan dan organisasi. Hal inilah yang memberikan kemudahan bagi manusia untuk melakukan pekerjaan serta mendapatkan informasi dengan lebih cepat. Salah satu teknologi informasi yang berkembang saat ini adalah website atau lebih dikenal dengan sebutan web, yang merupakan suatu koleksi dokumen elektronik pribadi atau perusahaan dalam server web  yang digunakan untuk mengakses berbagai informasi. Website portal ini dibangun menggunakan bahasa permrograman PHP. Dengan adanya website portal ini dapat membantu pihak sekolah dalam melakukan promosi dan penyampaian informasi kepada masyarakat.
PENERAPAN ALGORITMA AES (ADVANCED ENCRYPTION STANDARD) DALAM PENYANDIAN KOMPRESI DATA Erfan Wahyudi; Bahtiar Imran; - Subektiningsih; Akhmad Muzakka
Jurnal Explore Vol 8, No 2 (2018)
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.061 KB) | DOI: 10.35200/explore.v8i2.135

Abstract

Dengan perkembangan teknologi komputer saat ini, pertukaran informasi dari suatu pihak ke pihak lain sangatlah diperlukan. Informasi yang dikirimkan tersebut biasanya tidak ingin diketahui oleh pihak yang tidak berkepentingan terutama pihak-pihak yang tidak bertanggungjawab. Ancaman keamanan terhadap informasi tersebut dapat berupa interupsi, intersepsi, modifikasi, dan fabrikasi. Ancaman-ancaman ini dapat memanipulasi hingga menghapus data yang ditransmisikan melalui komputer. Untuk mengatasi ancaman tersebut, diperlukanlah suatu cara agar informasi tersebut tidak dapat diketahui oleh pihak lain. Salah satu caranya dalah dengan menggunakan kriptografi. Dalam paper ini algoritma kriptografi yang digunakan adalah AES (Advanced Encryption Standard) yang dibuat oleh Rijmen dan Daemen dari Belgia. Hasilnya, Algoritma AES atau Rijndael merupakan algoritma simetri yang sangat cocok digunakan untuk berbagai keperluan yang berkaitan dengan kriptografi saat ini termasuk penyandian, salah satunya adalah untuk penyandian sandi-lewat untuk file kompresi
Peningkatan Kemampuan Keterampilan Komputer dan Pengelolaan Informasi Dalam Mendukung Gerakan Literasi Digital Pada SMKN 1 Sakra Bahtiar Imran; Zaenudin
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 1 No. 3 (2022): Agustus 2022
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v1i3.652

Abstract

Skills in using computers or digital are also very instrumental in determining a person's success in this case at the level of education. Vocational High School (SMKN) 1 Sakra is a vocational high school in Sakra District, East Lombok district. Class of 2020 students are students who from the beginning of entry to graduation are students who created the Covid 19 pandemic, the teaching and learning process uses courage. Vocational students who should get maximum practicum are constrained because learning is carried out at home using bold learning, this causes the knowledge and skills of grade 3 students to be minimal and can result in students having difficulty finding work. From this problem, the PkM team at the Mataram University of Technology improved computer skills and information management by conducting training that focused on the introduction of the internet, operating MS. Office and how to manage information in this case using Google Drive. The results of this study were students' knowledge of computers and information technology, students were able to operate well Ms. Office and students are able to manage information well.
Classification of Lombok Pearls using GLCM Feature Extraction and Artificial Neural Networks (ANN) Muh Nasirudin Karim; Ricardus Anggi Pramunendar; Moch Arief Soeleman; Purwanto Purwanto; Bahtiar Imran
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1317.209-217

Abstract

This study used the second-order Gray Level Co-occurrence Matrix (GLCM) and pearl image classification using the Artificial Neural Network (ANN). No previous research combines the GLCM method with artificial neural networks in pearl image classification. The number of images used in this study is 360 images with three labels, including 120 A images, 120 AA images, and 120 AAA images. The epochs used in this study were 10, 20, 30, 40, 50, 60, 70, and 80. The test results at epoch 10 got 80.00% accuracy, epoch 20 got 90.00% accuracy, epoch 30 got 93.33% accuracy, and epoch 40 got 94.44% accuracy. In comparison, epoch 50 got 95.55% accuracy, epoch 60 got 96.66% accuracy, epoch 70 got 96.66% accuracy, and epoch 80 got 95.55% accuracy. The combination of the proposed methods can produce accuracy in classifying pearl images, such as the classification test results.
Classification of stroke patients using data mining with adaboost, decision tree and random forest models Bahtiar Imran; Erfan Wahyudi; Ahmad Subki; Salman Salman; Ahmad Yani
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1328.218-228

Abstract

A stroke is a fatal disease that usually occurs to the people over the age of 65. The treatment progress of the medical field is growing rapidly, especially with the technological advance, with the emergence of various medical record data sets that can be used in medical records to identify trends in these data sets using data mining. The purpose of this study was to propose a model to classify stroke survivors using data mining, by utilizing data from the kaggle sharing dataset. The models proposed in this study were AdaBoost, Decision Tree and Random Forest, evaluation results using Confusion Matrix and ROC Analysis. The results obtained were that the decision tree model was able to provide the best accuracy results compared to  the other models, which was 0.953 for Number of Folds 5 and 10. From the results of this study, the decision tree model was able to provide good classification results for stroke sufferers.
Semantic segmentation of pendet dance images using multires U-Net architecture Hendri Ramdan; Moh. Arief Soeleman; Purwanto Purwanto; Bahtiar Imran; Ricardus Anggi Pramunendar
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1316.329-338

Abstract

As a cultural heritage, traditional dance must be protected and preserved. Pendet dance is a traditional dance from Bali, Indonesia. Dance recognition raises a complex problem for computer vision research because the features representing the dancer must focus on the dancer's entire body. This can be done by performing a segmentation task process. One type of segmentation task in computer vision is the semantic segmentation. Mask R-CNN and U-NET were employed in this task. Since it was first introduced in 2015, semantic segmentation using the U-Net architecture has been widely adopted, developed, and modified. One of the new architectures applied is the MultiRes UNet. This study carries out a semantic segmentation task on the Balinese Pendet dance image using the MultiRes UNet architecture by changing the value of α (alpha) to obtain the best results. This architectural is evaluated by DC score, Jaccard index, and MSE. In this dataset, the alpha value of 1.9 resulted in the best score for DC and the Jaccard index with 98.47% and 99.23% respectively. On the other hand, an alpha value of 1.8 obtained the best score of MSE with 8.20E-04.
Co-Authors AA Sudharmawan, AA Abba Suganda Girsang, Abba Suganda Ahmad Yani ahmad yani Akbar, Ardiyallah Akhmad Muzakka Alfian Hidayat Amirudin Kalbuadi Anak Agung Istri Sri Wiadnyani Andre Satriawan 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 Hanis Purnamasidi Hasan Basri Hendri Ramdan Hidayatullah, Beni Ari Karim, Muh Nasirudin Karina Nurwijayanti Karya Gunawan Karya Gunawan Lalu Darmawan Bakti Lalu Darmawan Bakti, Lalu Darmawan Lalu Delsi Samsumar, M.Eng. M Zulpahmi M. Zulpahmi M. Zulpahmi Mahayadi, Mahayadi Makmun Baihaki Marroh, Zahrotul Isti’anah Maspaeni Maspaeni 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 Purwanto Purwanto Ricardus Anggi Pramunendar Riska, Baiq Nonik Ria Rosida, Sri Rudi Muslim Rudi Muslim Salman Salman Salman Salman Saputra, Dede Haris Selamet Riadi Selamet Riadi Sriasih, Sriasih Subektiningsih Subektiningsih Subki, Ahmad Suharjito Suharjito, Suharjito Suhartono Surni Erniwati Surni Erniwati Suryadi, Emi Tahrir, Muhammad Zaeniah Zaeniah Zaeniah Zaeniah Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zahroni, Teguh Rizali Zenuddin, Z Zulpahmi, M Zulpahmi, M. Zulpan Hadi