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All Journal International Journal of Electrical and Computer Engineering Perfecting a Video Game with Game Metrics International Journal of Advances in Intelligent Informatics Jurnal Pilar Nusa Mandiri Techno Nusa Mandiri : Journal of Computing and Information Technology ILKOM Jurnal Ilmiah EXPLORE Jurnal Mantik INFOKUM Infotek : Jurnal Informatika dan Teknologi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Karya untuk Masyarakat (JKuM) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi EXPLORE
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 Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary

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PENERAPAN ALGORITMA AES (ADVANCED ENCRYPTION STANDARD) DALAM PENYANDIAN KOMPRESI DATA Wahyudi, Erfan; Imran, Bahtiar; Subektiningsih, -; Muzakka, Akhmad
Jurnal Explore Vol 8, No 2 (2018)
Publisher : STMIK Mataram

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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
Penerapan SIPI (Sistem Informasi Pendaftaran IGD) pada UPTD Puskesmas Senaru Baihaki, Makmun; Imran, Bahtiar; Wahyudi, Erfan
Jurnal Explore Vol 8, No 2 (2018)
Publisher : STMIK Mataram

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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) Riska, Baiq Nonik Ria; Imran, Bahtiar; Wahyudi, Erfan
Jurnal Explore Vol 7, No 2 (2017)
Publisher : STMIK Mataram

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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.
ANALISIS BUKTI DIGITAL WHATSAPP PADA ANDROID SMARTPHONE MENGGUNAKAN METODE LIVE FORENSIC Wahyudi, Erfan; Gunawan, Karya; Imran, Bahtiar; Zulpahmi, M
Jurnal Explore Vol 10, No 2 (2020)
Publisher : STMIK Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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.
Family Relationship Identification by Using Extract Feature of Gray Level Co-occurrence Matrix (GLCM) Based on Parents and Children Fingerprint Suharjito Suharjito; Bahtiar Imran; Abba Suganda Girsang
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 5: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (12.646 KB) | DOI: 10.11591/ijece.v7i5.pp2738-2745

Abstract

This study aims to find out the relations correspondence by using Gray Level Co-occurrence Matrix (GLCM) feature on parents and children finger print. The analysis is conducted by using the finger print of parents and family in one family There are 30 families used as sample with 3 finger print consists of mothers, fathers, and children finger print. Fingerprints data were taken by fingerprint digital persona u are u 4500 SDK. Data analysis is conducted by finding the correlation value between parents and children fingerprint by using correlation coefficient that gained from extract feature GLCM, both for similar family and different family. The study shows that the use of GLCM Extract Feature, normality data, and Correlation Coefficient could identify the correspondence relations between parents and children fingerprint on similar and different family. GLCM with four features (correlation, homogeneity, energy and contrast) are used to give good result. The four sides (0o, 45o, 90o and 135o) are used. It shows that side 0o gives the higher accurate identification compared to other sides.
Fingerprint Pattern of Matching Family with GLCM Feature Bahtiar Imran; Karya Gunawan; Muhammad Zohri; Lalu Darmawan Bakti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.8534

Abstract

In this research, fingerprint pattern matching is done to find out whether there is the similarity between parent and child fingerprint pattern. An important step in fingerprint matching is the fingerprint pattern search and matching. Fingerprint data is used by 11 families from various families. The method used in fingerprint feature extraction is GLCM. The GLCM angle used is 0o, and the features used are contrast, homogeneity, correlation, and energy. For fingerprint pattern matching use minutiae score. From the results obtained GLCM has been widely used in fingerprint texture analysis. This study proves that the proposed method for matching fingerprints on parents and children gets the most dominant pattern is the loop pattern.
CLASSIFICATION OF LOMBOK SONGKET CLOTH IMAGE USING CONVOLUTION NEURAL NETWORK METHOD (CNN) Hambali Hambali; Mahayadi Mahayadi; Bahtiar Imran
Jurnal Pilar Nusa Mandiri Vol 17 No 2 (2021): Publishing Period for September 2021
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 Bahtiar Imran; Hambali Hambali; Ahmad Subki; Zaeniah Zaeniah; Ahmad Yani; Muhammad Rijal Alfian
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Publishing Period for March 2022
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.
Identification of virtual plants using bayesian networks based on parametric L-system Suhartono Suhartono; Fachrul Kurniawan; Bahtiar Imran
International Journal of Advances in Intelligent Informatics Vol 4, No 1 (2018): March 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v4i1.157

Abstract

Parametric L-System is a method for modelling virtual plants. Virtual plant modelling consists of components of axiom and production rules for alphabets in parametric L-System. Generally, to get the alphabet in parametric L-System, one would guess the production rules and perform a modification on the axiom. The objective of this study was to build virtual plant that was affected by the environment. The use of Bayesian networks was to extract the information structure of the growth of a plant as affected by the environment. The next step was to use the information to generate axiom and production rules for the alphabets in the parametric L-System. The results of program testing showed that among the five treatments, the combination of organic and inorganic fertilizer was the environmental factor for the experiment. The highest result of 6.41 during evaluation of the virtual plant came from the treatment with combination of high level of organic fertilizer and medium level of inorganic fertilizer. Mean error between real plant and virtual plan was 9.45 %.
Pengembangan Sistem Informasi Geografis Berbasis Android Pada Wisata Daerah Lombok, Nusa Tenggara Barat Ahmad Subki; Bahtiar Imran; Surni Erniwati
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 2 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (855.208 KB) | DOI: 10.29408/jit.v4i2.3667

Abstract

Lombok Island is one of the tourist destinations in Indonesia that has the potential to be developed. Based on data from the NTB Provincial Tourism Office at the end of 2019, the number of tourist visits was 3,706,352 tourists, with details of 1,550,751 foreign tourists and 2,155,561 domestic tourists. Based on the 2018-2023 Strategic Plan, the Culture and Tourism Office of West Nusa Tenggara Province, the island of Lombok has potential tourism objects such as beach tourism, waterfalls, mountains, culinary, culture, religion, and others. However, not all existing tourist attractions are known by visiting tourists, both the location of tourist attractions or the distance traveled to tourist sites, so it is necessary to make efforts to increase the number of visitors who come to the island of Lombok through various efforts. One of the efforts that can be done is the application of an Android-based tourism system so that it can be accessed by foreign tourists or domestic tourists who can provide complete information about tourist information on the island of Lombok. The system development method used in this research is the Research and Development (RD) method. Geographic Information Systems with the Research and Development (RD) method can provide good results and can be proven from the limited test results getting an average result of 71.45% with "GOOD" criteria, and field testing with an average result of 72.32 % with “GOOD” Criteria
Co-Authors - Subektiningsih Abba Suganda Girsang, Abba Suganda Ahmad Yani Akhmad Muzakka Amirudin Kalbuadi Anak Agung Istri Sri Wiadnyani Ardiyallah Akbar Baihaki, Makmun Baiq Nonik Ria Riska Beni Ari Hidayatullah Fachrul Kurniawan Hambali Hambali Hendri Ramdan Karya Gunawan Karya Gunawan Lalu Darmawan Bakti Lalu Darmawan Bakti, Lalu Darmawan Lalu Delsi Samsumar, M.Eng. M Zulpahmi Mahayadi Mahayadi Makmun Baihaki Moch Arief Soeleman Moh. Arief Soeleman Muh Nasirudin Karim Muh Nasirudin Karim Muhamad Masjun Efendi Muhammad Rijal Alfian Muhammad Zohri Muzakka, Akhmad Purwanto Purwanto Ricardus Anggi Pramunendar Riska, Baiq Nonik Ria Rudi Muslim Salman Salman Sriasih, Sriasih Subektiningsih Subektiningsih Subki, Ahmad Suharjito Suharjito, Suharjito Suhartono Suhartono Surni Erniwati Surni Erniwati Zaeniah Zaeniah Zaeniah Zaenudin Zaenudin Zaenudin Zaenudin Zaenudin Zulpahmi, M