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ILKOM Jurnal Ilmiah
Published by Universitas Muslim Indonesia
ISSN : 20871716     EISSN : 25487779     DOI : -
Core Subject : Science,
Computer Science & IT
ILKOM Jurnal Ilmiah is an Indonesian scientific journal published by the Department of Information Technology, Faculty of Computer Science, Universitas Muslim Indonesia. ILKOM Jurnal Ilmiah covers all aspects of the latest outstanding research and developments in the field of Computer science, including Artificial intelligence, Computer architecture and engineering, Computer performance analysis, Computer graphics and visualization, Computer security and cryptography, Computational science, Computer networks, Concurrent, parallel and distributed systems, Databases, Human-computer interaction, Embedded system, and Software engineering.
Arjuna Subject : -
Articles 580 Documents
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Pressure measurement algorithm of LPG leakage using MQ6 sensor and GSM SIM900 for smart home Suhartono Suhartono; Iwan Suhadi
ILKOM Jurnal Ilmiah Vol 13, No 2 (2021)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i2.677.78-85

Abstract

Liquid Petroleum Gas (LPG) has a drawback in its use that it is very prone to cause fires because it is a hydrocarbon in the form of propane and butane. LPG storage must also use a strong cylinder and has no leakage. If the gas storage cylinder leaks, it will easily cause fire and explode when it is used. LPG must meet several particular criteria in terms of safety, so it does not damage the equipment used and can be efficient in its use. A gas leak detection system is required to reduce the risk of material and life loss due to gas cylinder leaks, which can later be used as a safety system or warning of gas leaks. The users can quickly response to gas leaks around them. The warning given can be a short message or an alarm as a reminder to the users. The purpose of this research is, first, to create an LPG gas leak pressure measurement algorithm using the MQ6 sensor and GSM SIM 900A for a Smart home. The second is to design an Arduino-based gas leak notification through an SMS Gateway. The method used in this study is experimental. This is a method that is generally used in laboratory research. The second is the prototype method, in which the device changes are carried out many times until the goal of the device to be developed is achieved. The research results are the first to produce an algorithm for measuring LPG gas leakage pressure using the MQ6 sensor, which can be installed in Smart home, testing this algorithm using a board on the Arduino microcontroller, which is connected directly to the MQ6 sensor as an input medium. After the algorithm is embedded to measure the gas leak pressure on the MQ6 sensor, it works as a sensor that only detects LPG, propane, butane and its types explicitly. In the results of trials that have been carried out by going through 4 stages of testing this detector, it will be more optimal to detect gas leaks at a distance of 5 cm. The second is to generate Arduino-based gas leak notification information using an SMS Gateway. This tool is also equipped with a GSM SIM 900A module that functions as an SMS gateway so that if a gas leak occurs, the GSM SIM 900A can be a communicator among the user's mobile devices to provide information via SMS. The better the quality of the available network, the faster the notification will be sent.
ANALISA CLUSTERING PHISING DENGAN K-MEANS DALAM MENINGKATKAN KEAMANAN KOMPUTER Suhardi Rustam
ILKOM Jurnal Ilmiah Vol 10, No 2 (2018)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v10i2.309.175-181

Abstract

Almost the crime in cyber is a condition of criminal activity using computers or computer networks as tools and also as a target. Fraud in academic websites the most at risk. The action of Phishing is on the rise. Recorded globally, the number of fraudulent mode phishing 42% of the mode in addition to phishing which is stated in the website Anti-Phishing Working Group (APWG) in its monthly report, noting there 12.845 e-mail new and unique as well as 2.560 a fake site that is used as a means of phishing, in Addition to increase the quantity, the quality of the attacks is also increasing, the need for the work done by the network administrator in improving surveillance in monitoring activity on the network, in the action of data theft will perform the action of manipulating someone with the appearance of a particular web site. In this study a set of datasets will be clustering using k-means, K-Means algorithm will classify the dataset, resulted in the identification of phishing that is accurate and certifiable. With the results of this research iteration=10, the K-Fold=2 the of the Bouldin Davis index = 0.119.
K-means algorithm for clustering system of plant seeds specialization areas in east Aceh Rozzi Kesuma Dinata; Novia Hasdyna; Sujacka Retno; Muhammad Nurfahmi
ILKOM Jurnal Ilmiah Vol 13, No 3 (2021)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i3.863.235-243

Abstract

The number of regions and types of plants in East Aceh Regency requires a data clustering process in order to easily find out which areas are most in-demand based on the type of plants. This study applies the k-means algorithm to classify the data. The data used in this study were obtained from the Department of Agriculture, Food Crops and Horticulture, East Aceh Regency. Based on the test results with k-means, the average number of iterations in the 2015-2019 data is 8,7,6,4,3 iterations for each commodity. The test results can show areas of interest for plant seeds with clusters of high demand, attractive, and less desirable. The system in this study was built based on the web using the PHP programming language.
Sistem Informasi Troubleshooting Pada Personal Computer (PC) Ari Widiastono; Nur Ain Banyal; Liza Angriani
ILKOM Jurnal Ilmiah Vol 8, No 2 (2016)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v8i2.53.103-110

Abstract

Penelitian ini bertujuan membangun sebuah perangkat lunak sistem informasi untuk menangani troubleshooting computer. Metode yang digunakan adalah Binary tree, yaitu sebuah tree dengan syarat bahwa tiap node hanya boleh memiliki maksimal 2 subtree yang disebut sebagai pohon, sub pohon kiri (left subtree), dan sub pohon kanan (right subtree), dan kedua subtree tersebut harus terpisah atau dengan kata lain tiap node dalam binary tree hanya boleh memiliki paling banyak 2 child. Hasil yang didapatkan dari sistem perangkat lunak adalah memberikan informasi mengenai solusi dari kerusakan komputer tanpa harus menyewa tenaga ahli, sehingga diharapkan dapat menekan biaya perbaikan jika terjadi kerusakan komputer.
KOMPARASI NAÏVE BAYES, SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOR UNTUK MENGETAHUI AKURASI TERTINGGI PADA PREDIKSI KELANCARAN PEMBAYARAN TV KABEL Mohamad Efendi Lasulika
ILKOM Jurnal Ilmiah Vol 11, No 1 (2019)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i1.408.11-16

Abstract

One obstacle of the default payment is the lack of analysis in the new customer acceptance process which is only reviewed from the form provided at registration, as for the purpose of this study to find out the highest accuracy results from the comparison of Naïve Bayes, SVM and K-NN Algorithms. It can be seen that the Naïve Bayes algorithm which has the highest accuracy value is 96%, while the K-Neural Network algorithm has the highest accuracy at K = 3 which is 92%, while Support Vector Machine only gets accuracy of 66%. The ROC Curve results show that Naïve Bayes achieved the best AUC value of 0.99. Comparison between data mining classification algorithms namely Naïve Bayes, K-Neural Network and Support Vector Machine for predicting smooth payment using multivariate data types, Naïve Bayes method is an accurate algorithm and this method is also very dominant towards other methods. Based on Accuracy, AUC and T-tests this method falls into the best classification category.
SISTEM PAKAR GANGGUAN ANSIETAS PERPISAHAN MASA KANAK DAN REMAJA MENGGUNAKAN CERTAINTY FACTOR BERBASIS WEB Keken Wilujeung; Yessy Yanitasari; Supriyadi Supriyadi; Abdul Gowi
ILKOM Jurnal Ilmiah Vol 9, No 1 (2017)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v9i1.106.25-33

Abstract

Sistem Pakar merupakan sistem komputer yang berbasis pengetahuan yang terpadu di dalam suatu sistem informasi, sehingga memiliki kemampuan untuk menyelesaikan masalah dalam bidang tertentu sebagaimana layaknya seorang pakar. Sistem pakar bertujuan untuk memudahkan pengguna agar mengetahui solusi masalah yang biasanya dipecahkan oleh pakar. Salah satu contoh kasusnya adalah gangguan ansietas perpisahan masa kanak dan remaja. Gangguan ansietas perpisahan masa kanak dan remaja merupakan kecemasan dan kekhawatiran yang tidak realistik pada anak tentang apa yang akan terjadi bila ia berpisah dengan orang-orang yang berperan penting dalam hidupnya, misalnya orang tua. Berdasarkan prevalensi nasional, tingkat gangguan ansietas cukup tinggi serta masyarakat belum mengetahui jenis gangguan ini. Sistem pakar yang dibangun memiliki keluaran sistem berupa solusi teknik keperawatan seperti cara terapi yang bisa dilakukan oleh keluarga Perancangan aplikasi ini berbasis web dengan menggunakan mesin inferensi Certainty Factor yang menggabungkan nilai keyakinan pakar dan pengguna serta metode pengembangan sistem yang digunakan berbasis Object Oriented.
Sistem Rekomendasi Wisata Pantai menggunakan Metode Simple Additive Weighting Suherman Suherman; Sunny Samsuni; Imam Lukman Hakim
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i1.481.1-7

Abstract

The number of beach tourism in the Serang Regency or Anyer beach region and the diversity of the desires of every tourist, then tourists are required knowledge of traveling in terms of choosing the desired tourist location. For tourists who already have the experience of traveling on the Anyer beach, it is not too difficult to determine the desired tourist location, but most tourists who do not have the tourist experience on the Anyer beach will have difficulty being able to determine the expected beach tourism location. This study aims to provide recommendations of 24 Anyer beach tourist attractions to tourists. Recommendations generated using the Simple Additive Weighting (SAW) method using 12 criteria. The results of this study are in the form of applications that can be accessed online. The application can produce appropriate recommendations for tourists in the form of alternative beach tourism along with details such as the name of the beach tour, address, coordinates of Google Maps, photos of the state of beach tourism and the price of admission.
RANCANG BANGUN PROTOTYPE ROBOT LENGAN MENGGUNAKAN FLEX SENSOR DAN ACCELEROMETER SENSOR PADA LAB MIKROKONTROLER STMIK MUSIRAWAS M. Agus Syamsul Arifin
ILKOM Jurnal Ilmiah Vol 9, No 3 (2017)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v9i3.152.255-261

Abstract

Perkembangan teknologi khususnya dunia Robotika yang pesat membawa dunia menuju sebuah zaman dimana pada beberapa aspek pekerjaan mulai digantikan dengan robot. Dalam berbagai kasus robot menjadi pilihan utama karena dapat mengurangi cost pengeluaran bagi perusahaan, selain itu hasil pekerjaan yang dilakukan oleh robot lebih presisi dan lebih detail dengan waktu pengerjaan yang lebih singkat dibandingkan dengan menggunakan tenaga manusia. Beberapa kasus kombinasi Manusia dan Robot menjadi solusi untuk permasalahan yang khusus yagn tidak bias dilakukan hanya dengan menggunakan robot saja. Penelitian ini membangun sebuah prototype robot lengan yang di kendalikan menggunakan Flex sensor dan  Accelerometer sensor untuk menggerakkan lengan dan menggunakan smartphone dan Bluetooth untuk mengendalikan arah laju robot. Kontrol manusia dilakukan untuk lebih fleksibel dalam menyelesaikan pekerjaan dimana akan sangat sulit jika hanya mengandalkan robot saja disini manusia mengendalikan robot untuk memindahkan barang di tempat yang belum ditentukan titik pemindahannya. Pengedalian menggunakan flex sensor dan accelerometer mempermudah pengendalian lengan robot agar lebih presisi dalam penerapannya.
Object motion detection in home security system using the binary-image comparison method based on robot operating system 2 and Raspberry Pi Abdul Jalil; Matalangi Matalangi
ILKOM Jurnal Ilmiah Vol 13, No 1 (2021)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i1.686.1-8

Abstract

This study aims is to build a home security system based on object motion detection using the Robot Operating System 2 (ROS2) and the Raspberry Pi. ROS2 in this study was used to read and process the camera data and to control the buzzer sound. At the same time, the Raspberry Pi hardware functioned to run  ROS2 using the Linux Ubuntu 18.04 operating system. The camera function to read the image and video data could be developed for the input device to control the home security systems based on object motion detection. The method used to detect an object motion was Binary-Image Comparison (BIC). This method works by comparing the value of the binary image object with the binary master and using it as a decision-making algorithm when the camera detected the object movement based on the object colors. The object colors that were detected in this study were red, yellow, green, and blue. Each object color was processed using the OpenCV library in the ROS2 node service. After that, all of the nodes communicated through topics to communicating and exchanging the message data. This study has successfully developed a prototype that can generate a buzzer sound warning to the user when the camera detected the object motion based on the object color.
IMPLEMENTASI TEKNOLOGI RFID PADA SISTEM ANTRIAN REKAM MEDIS PASIEN DI RUMAH SAKIT Musfirah Putri Lukman; Husni Angriani
ILKOM Jurnal Ilmiah Vol 10, No 1 (2018)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v10i1.246.105-112

Abstract

Penelitian ini bertujuan untuk mengurangi waktu antri pasien ketika memproses rekam medis pada pendaftaran rawat jalan di rumah sakit. Untuk tujuan tersebut, maka diusulkan pemanfaatan Radio Frequency Identification (RFID) dimana RFID ini berguna sebagai kode unik pasien. Kode unik tersebut akan menampilkan data pasien secara otomatis sehingga tidak memerlukan waktu pencarian berkas pasien yang dapat menambah waktu antrian pasien. Teknik perancangan sistem pada penelitian ini menggunakan metode prototyping sedangkan teknik pengujian analisis data menggunakan metode analisis uji-T. Pengujian perangkat lunak menggunakan teknik pengujian black box. Hasil penelitian yang diperoleh adalah sistem mampu mempercepat proses antrian rekam medis pasien pada rumah sakit dengan waktu rata - rata sebesar 3.6 menit dengan selisih waktu 9.4 menit dari waktu rata - rata antrian untuk sistem konvensional sebesar 12.6 menit. Secara keseluruhan dapat disimpulkan bahwa rata-rata waktu antri sistem RFID lebih singkat daripada waktu antri sistem konvensional sehingga sistem RFID mampu mempersingkat waktu antri pasien untuk proses rekam medis.

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