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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) CESS (Journal of Computer Engineering, System and Science) Jurnal Pilar Nusa Mandiri JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah EXPLORE Jurnal Manajemen Informatika dan Sistem Informasi JISA (Jurnal Informatika dan Sains) INFOKUM Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Publikasi Teknik Informatika (JUPTI) Explore
Salman Salman
Universitas Teknologi Mataram
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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MEMBANGUN WEBSITE SIMPAN PINJAM PADA KOPERASI SIMPAN PINJAM (KSP) “HARAPAN BERSAMA” Salman, -; Kirana, Bq. Ajeng Liesna Putri Dende Kirana; Zaenudin, -
Jurnal Explore Vol 8, No 1 (2018)
Publisher : STMIK Mataram

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Abstract

Abstrak - Pengelolaan data yang baik akan sangat membantu dalam penyelesaian suatu pekerjaan, maka dari itu diperlukan manajemen yang baik pula dan dapat diharapkan mengakses data secara cepat dan akurat. Website merupakan salah satu program yang digunakan untuk membangun atau mendesain sebuah aplikasi. Dengan menggunakan Website, kita dapat membuat sebuah aplikasi dengan tampilan yang menarik sesuai dengan keinginan. Penulis mengusulkan agar menggunakan program aplikasi yang berbasis database. Hal ini bertujuan agar mempermudah petugas dalam melakukan pengolahan data. Aplikasi ini dibuat untuk menghasilkan sistem informasi simpan pinjam pada KSP “HARAPAN BERSAMA” dan metode yang digunakan adalah waterfall.Kata Kunci : Website, Aplikasi, Program, Simpanan, Koperasi
Rancang Bangun Private e-Marketplace Untuk Usaha Kecil Menengah (UKM) Mahasiswa dalam Mewujudkan Enterpreneurial Campus (Studi Kasus pada Kampus STMIK Mataram) Lalu Delsi Samsumar; Salman Salman
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 3, No 2 (2019): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.823 KB) | DOI: 10.30872/jurti.v3i2.3412

Abstract

Peran entrepreneur dalam menentukan kemajuan suatu bangsa telah dibuktikan oleh beberapa negara maju seperti Amerika, Jepang, Singapura dan Malaysia. Di Amerika sampai saat ini sudah lebih dari 12 persen penduduknya menjadi entrepreneur, dalam setiap 11 detik  lahir entrepreneur baru dan  data menunjukkan 1 dari 12 orang Amerika terlibat langsung dalam kegiatan entrepreneur. Selanjutnya Jepang lebih dari 10% penduduknya sebagai wirausaha dan lebih dari 240 perusahaan jepang skala kecil, menengah dan besar bercokol di bumi ini. Singapura dan Malaysia menunjukkan bahwa jumlah pengusaha menyebutkan lebih dari 7.2% pengusaha Singapura dan lebih dari 3% pengusaha malaysia. Sedangkan Indonesia hanya memiliki 0.18% pengusaha atau kurang dari 1% dari jumlah penduduk saat ini, padahal untuk membangun ekonomi bangsa menjadi bangsa yang maju, menurut sosiolog David McCleiland, dibutuhkan minimal 2% wirausaha dari populasi penduduknya, atau dibutuhkan sekitar 4,8 juta wirausaha di Indonesia saat ini. Penelitian ini memiliki rumusan masalah bagaimana merancang dan membangun sistem e-Marketplace bagi UMK Mahasiswa dan Alumni, guna mewujudkan program entrepreneurial campus di Kampus STMIK Mataram. Target luaran yang diinginkan adalan  dihasilkannya sebuah sistem pemasaran secara daring yaitu Private e-Marketplace. Penelitian ini menggunakan model penelitian pengembangan (Research and Development) dengan melakukan 4 langkah utama yaitu persiapan/perancangan, pengembangan, validasi dan uji coba serta implementasi sistem. Sistem pemasaran Private e-Marketplace di STMIK Mataram telah diimplementasikan dan dapat diakses melalui URL http://marketplace.utmmataram.ac.id..
PENERAPAN SISTEM BUSINESS INTELLIGENCE (BI) SEBAGAI PENDUKUNG PENGAMBILAN KEPUTUSAN REKRUITMEN DAN SELEKSI CALON MAHASISWA BARU DI MASA PANDEMI COVID-19 (STUDI KASUS : UNIVERSITAS TEKNOLOGI MATARAM) Salman Salman; Moh. Subli; Muhammad Masjun Efendi
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 5 No. 2 (2022): MISI Juni 2022
Publisher : LPPM STMIK Lombok

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Abstract

Saat ini Universitas Teknologi Mataram (UTM) memiliki banyak data mentah atau data operasional yang dapat dijadikan sebagai sumber informasi strategis salah satu contoh seperti data Penerimaan Mahasiswa Baru (PMB). Namun dengan adanya data operasional penerimaan mahasiswa baru, UTM belum bisa menggunakan data operasional tersebut sebagai sumber informasi strategis. Sehingga dari data operasional penerimaan mahasiswa baru yang ada, UTM tidak dapat mengetahui dan kurang memberikan kontribusi informasi yang memadai mengenai berapa jumlah mahasiswa yang daftar, berapa jumlah mahasiswa yang ikut seleksi, berapa jumlah mahasiswa yang lulus seleksi. Oleh sebab itu Universitas Teknologi Mataram membutuhkan sebuah sistem business intelligence untuk mengelola data operasional yang dapat dijadikan sebagai sumber pengambilan keputusan. Penelitian ini bertujuan untuk membangun sistem Business Intelligence sebagai pendukung pengambilan keputusan terhadap rekruitmen dan seleksi calon mahasiswa baru pada Universitas Teknologi Mataram. Teknik pengembangan sistem business intelligence dalam penelitian ini adalah menggunakan metode rancangan Carlo Vercellis[1], sedangkan untuk teknik pengambangan data warehouse menggunakan metode rancangan Kimball. Sistem yang akan dihasilkan peneliti berdasarkan model prototype data warehouse dan business intelligence yang dibangun pada Universitas Teknologi Mataram berupa, grafik yang ditampilkan pada halaman web portal atau dashboard sesuai kebutuhan.
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

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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

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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.
PERBANDINGAN HASIL ANALISA FOTO HOAX MENGGUNAKAN METODE EXIF/METADATA, REVERSE IMAGE DAN FORENSICS Moh Subli; Muhamad Masjun Efendi; Salman Salman
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1578

Abstract

The hoax information that has been spread so far is in the form of photos that have been edited and manipulated from actual photos, then the photos are spread widely on the internet. The development of increasingly advanced photos makes it have many advantages to be used as hoax news, such as easy to manipulate, easy to spread massively and widely and easy to make people believe quickly. Changes in photos that are easily manipulated can change the information submitted to be different and make them vulnerable to being used for crime. With many photos that are used as a means of crime, it is necessary to do a study that can be used as a guide to be able to see which photos are real and which are fake by using a method. There are so many circulating methods that can see the authenticity and fakeness of the photo. However, from many in circulation, it is not uncommon to have a level of testing that is not close to the truth, because the feasibility and level of truth of the method still cannot be trusted. For this reason, in this study, the results of the analysis of hoax photos are compared using the exif/metadata, reverse image and image forensics methods. These three methods will be used as examples of which one is closer to the truth which can then be used as a guide or reference by people to prove the authenticity of a photo or information that is being spread widely in the community.
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.
Analysis Manipulation Copy-Move on Image Digital using SIFT Method and Histogram Color RGB Muhamad Masjun Efendi; Salman Salman; Moh. Subli
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1334

Abstract

The application of the SIFT (Scale Invariant feature transform) algorithm and the RGB color histogram in Matlab can detect the suitability of objects in digital images and perform tests accurately. In this study, we discuss the implementation to obtain object compatibility on digital images that have been manipulated using the SIFT Algorithm method on the Matlab source, namely by comparing the original image with the manipulated image. The suitability of objects in digital images is obtained from the large number of keypoints obtained, other additional parameters, namely comparing the number of pixels in the analyzed image, as well as changes in the histogram in RGB color in each analyzed image. The purpose of this research is how to apply the SIFT (Scale Invariant feature transform) Algorithm and RGB color histogram to detect the suitability of objects in digital images and perform tests accurately. This study discusses the implementation to obtain object compatibility in digital images that have been manipulated using the SIFT Algorithm method on Matlab sources, namely by comparing the original image with the manipulated image. The suitability of objects in digital images is obtained from the large number of keypoints obtained, other additional parameters, namely comparing the number of pixels in the analyzed image, as well as changes in the histogram in RGB color in each analyzed image
Rancang Bangun Sistem Informasi Pengelolaan Stok Obat Pada Apotek Karya Husada Haikal Wahyudi; Zaeniah Zaeniah; Salman Salman
Explore Vol 11 No 2 (2021): Juli 2021
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v11i2.74

Abstract

Apotek Karya Husada adalah salah satu apotek yang berada pada Lombok Timur Kecamatan Masbagik, pada apotek tersebut sistem pengolahan data untuk menangani data obat masuk, obat keluar, serta laporan masih menggunakan aplikasi perkantoran seperti Microsoft excel dan data transaksi penjualan serta pembelian masih menggunakan buku tanpa adanya sisteminformasi yang terintegrasi. Hal ini akan menyulitkan ketika ingin melakukan pengecekan terhadap obat yang akan kadaluwarsa maupun pengecekan stok obat secara langsung dikarenakan banyaknya jenis obat yang ada dan rentan terjadi kesalahan serta kesulitan pada saat proses pembuatan laporan. Penelitian ini bertujuan untuk membuat Sistem yang bisa digunakan untuk mecatat data penjualan obat, pencatatan stok obat, dan untuk mempermudah pembuatan laporan. Dengan adanya Sistem Informasi Pengelolaan Stok Obat Pada Apotek ini, mampu mengatasi masalah pengolahan data dan mempercepat proses kerja dan meningkatkan keakuratan dalam pengolahan stok obat.
Smart Automatic Feed : Sistem Pakan Otomatis Pada Kandang Peternak Ayam Lalu Delsi Samsumar; Salman Salman; Rudi Muslim; Ardiyallah Akbar
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.2870

Abstract

Many people use the livestock industry, especially chicken farming, where raising chickens has many benefits, namely being able to produce eggs and meat. The existence of IoT allows communication of all objects via the internet, this can be used to simplify the process of feeding livestock chickens. The method used is the prototype method where prototyping is the first step in developing software or systems, namely having the stages of Needs Analysis, Rapid Design, Building a Prototype, Evaluation of Initial Use, Improving the Prototype, Implementation, and Maintenance. This research aims to build a feeding system with Internet of Things-based automation to maximize feeding and minimize obstacles in providing animal feed to improve the quality of livestock products. Development of Smart Automatic Feed: This Internet of Things (IoT)-based Automatic Feeding System for Chicken Farmers can provide feed via a mobile application and automatically on a scheduled basis and can also monitor the status of feed supplies.
Co-Authors ahmad yani Ahmad Yani Ardiyallah Akbar Efendi, Muhamad Masjun Erfan Wahyudi erniwati, surni Haikal Wahyudi Hidayatullah, Beni Ari Imran, Bahtiar Kirana, Bq. Ajeng Liesna Putri Dende Kirana Lalu Delsi Samsumar, M.Eng. Moh. Subli Muhammad Masjun Efendi Muhammad Rijal Alfian Ramdan, Hendri Rudi Muslim Sriasih, Sriasih Subki, Ahmad Zaeniah Zaeniah Zaeniah Zaenudin Zaenudin