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INDONESIA
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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'Pakarena' dance image classification using convolutional neural network algorithm Abdul Ibrahim; Rachmat Rachmat
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.v13i2.816.134-139

Abstract

One of the riches of the Indonesian nation comes from the diversity of ethnicities and cultures, especially dance, which is the culture of the Indonesian people, starting from their ancestors until now, their authenticity is still maintained. The wrong cultural dance that develops, especially in South Sulawesi, which consists of four (4) ethnic groups, namely: Bugis, Makassar, Toraja and Mandar, which have their own dance dances from each tribe in South Sulawesi to maintain this dance. There is a need for collaboration between local community leaders, government and researchers, especially researchers to raise dance dances from the Makassar Tribe called Pakkarena dance using the Convolutional Neural Network (CNN) method to the Pakarena dance image in distinguishing or classifying an object on digital images with an accuracy level of 95 75%.
IMPLEMENTASI METODE WEIGHTED PRODUCT DALAM SISTEM PENUNJANG KEPUTUSAN PEMBUANGAN MATERIAL NOT GOOD (NG) PRODUKSI Mujahidin Mujahidin; Arif Budimansyah Purba; Tresa Agustian
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.v11i1.388.25-33

Abstract

Bad Material is a product whose condition is Damaged or Not In accordance with a predetermined size, in the matter of this NG material can be determined what materials must be disposed of and what materials must be repaired. In the material there are several criteria that can be used as a yardstick to determine whether the NG material is directly discharged into production waste or not. To determine the NG material production can be done by using a weighted product support system. Ranking determination can be done by looking at the number of criteria in the alternative NG production by calculating weighted products can help in making decisions in the disposal of NG material and only choose one material to be disposed of into production waste whose status cannot be repaired again and the final result of the Weighted Product method has a final value that changes according to the number of alternatives.
PENERAPAN SISTEM REPLIKASI DAN INTEGRASI BASIS DATA TERDISTRIBUSI PADA PANGKALAN DATA PENDIDIKAN TINGGI (PDPT) Poetri Lestari Lokapitasari Belluano
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.v9i1.108.42-48

Abstract

Besarnya data pelaporan EPSBED dari Prodi ke PDPT-Universitas hingga ke PDPT-DIKTI membutuhkan sarana integrasi dan komunikasi data yang konsisten, belum mengikuti standarisasi pengelolaan database terpusat pada siklus manajemen yang terkait dengan sistem Pangkalan Data Pendidikan Tinggi (PDPT). Penelitian ini bertujuan membangun sistem informasi yang memiliki  integritas, konsistensi dan validitas data antar Program Studi dan PDPT Universitas. Metode yang digunakan meliputi studi lapangan dan kepustakaan untuk mengetahui data pelaporan EPSBED dari Prodi ke PDPT-Universitas hingga ke PDPT-DIKTI, perancangan sistem informasi dan basis data menggunakan Convention Over Configuration, pemodelan sistem Unified Modeling Language, pengelolaan Data Base Management System menggunakan PostgreSQL, dan port TCP-IP sebagai sarana komunikasi data. Hasil penelitian ini menunjukkan penerapan sistem replikasi yang bersifat real time sebagai  bentuk alternatif pengiriman data berjumlah besar, menjamin sinkronisasi integrasi basis data dari server asal ke server tujuan, dan sistem replikasi DBMS menggunakan PostgreSQL membantu DBMS Program Studi terintegrasi dan terkorelasi langsung dengan PDPT-Universitas
Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix Rahmat Karim Haba; Kartika Chandra Pelangi
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.v12i1.494.17-24

Abstract

Tangerines are fruits that are rich in high vitamin C content. Every orchard owner always tries to improve the quality of their plantation. In the selection of tangerines to be classified as ripe or immature at harvest time, the garden planters are already accustomed, but sometimes the farmer grouping the ripe oranges has problems such as physical limitations of the farmer, which is caused by fatigue factor. because it is still grouping with conventional systems so it is not effective and efficient in classifying ripe oranges. So from that we need a computerized system that can help gardeners in classifying ripe oranges. One of the technologies currently developing in agriculture and plantations is digital image processing using a classification system based on the texture and naïve bayes method. Based on the results that have been made, that the classification system using the Naïve Bayes method on tangerine images can be classified and obtain effective and efficient performance based on testing of 82% so that it can be implemented.
DESAIN MOBILE SISTEM INFORMASI GEOGRAFIS SEKOLAH GARIS DEPAN (SGD) BERBASIS ANDROID DI PROVINSI GORONTALO. Abdul Malik Ibuna
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.v9i3.155.268-273

Abstract

Sekolah Garis Depan (SGD) merupakan sekolah yang terletak di daerah terluar, terpencil, dan tertinggal (3T), propinsi Gorontalo yang merupakan propinsi baru pemekaran dari Sulawesi Utara masih memiliki ±25 sekolah yang termasuk sekolah 3T. Tujuan penelitian ini adalah merancang suatu Sistem Informasi Geografis agar dapat mengetahui lokasi akurat sekolah yang termasuk 3T serta memberikan informasi tentang kondisi sekolah 3T dari segi fasilitas sekolah, guru-guru pengajar dan jumlah siswa. Penelitian ini dilaksanakan di propinsi Gorontalo. Metode analisis sistem yang digunakan adalah metode SDLC (system Development Life Cycle) dengan tahapan yaitu perencanaan sistem (system planning), analisis sistem (system analysis), desain sistem (system design), seleksi sistem (system selection), implementasi sistem (system implementation). Pengujian sistem menggunakan metode test case dengan pendekatan white box testing. Sistem informasi geografis sekolahgaris depan dipropinsi Gorontalo, di desain dan di bangun menggunakan bahasa pemrograman PHP, Google Maps, Android studio dan dreamweaver serta GPS sebagai pendukung penentuan titik koordinat lokasi sekolah. Hasil yang diperoleh yaitu sebuah map/peta digital yang dapat di terapkan di mobile HP/tablet menggunakan sistem operasi android, dilengkapi dengan rute atau jarak yang dapat memudahkan user mengetahui informasi bila mau mencari dan berkunjung ke lokasi.
Fuzzy logic algorithm and analytic network process (ANP) for boarding houses searching recommendations Wawan Gunawan
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.v13i1.750.18-30

Abstract

Finding a boarding house is usually done manually or by visiting the boarding house in person. Several choices of boarding houses make boarding house seekers have to make choices according to the desired criteria, so it takes quite a long time. A decision support system is a system that can be used to help make decisions based on existing criteria for determining several alternatives to be selected. The methods used in this research are the Analytic Network Process (ANP) and the Fuzzy Logic method. This study employed several criteria in providing recommendations, including distance, price, facilities, security, number of spaces, parking space and convenience. The weighting of these criteria used the fuzzy logic method based on the priority scale determined by the boarding house seekers. This system has provided a recommendation for boarding houses based on the results of the calculation process using the ANP method and weighting using fuzzy logic. The result of calculations shows that the highest value was obtained by Munawar kos (boarding house) with a value of 6.55% and followed by Diding kos with a value of 6.52%.
SISTEM KONTROL INFORMASI AKTIVITAS LANSIA BERBASIS INTERNET OF THINGS (IoT) Pujianti Wahyuningsih
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.v10i2.271.120-127

Abstract

Elderly is a human phase are notabel to much do an activity because of physical factors and age. On doing daily activity the elderly should be kept by the family or nurse so in this research will be built a control system thatabel to detection of elderly activity and control an electronic device remotely using the Internet of Things (IoT). All of the elderly activity has detected based on sensor data input from the carpet, PIR sensor, DHT22 temperature sensor then processed in the Arduino Mega and Raspberry Pi. The function of Raspberry Pi is to connect all elderly information to the internet using node.js. Based on the information the family or nurse able to see the elderly activity remotely using website and able to control electronic device like a fan and heater by manually and automatically using the Internet of Things technology.
Interoperabilitas Sistem Terdistribusi Berbasis Protokol Soap Mohamad Ali Wardana; Rahman Rahman
ILKOM Jurnal Ilmiah Vol 8, No 1 (2016)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v8i1.23.57-62

Abstract

Sistem e-KTP yang yang diadopsi pemerintah menerapkan sistem database nasional kependudukan terpusat. Database ini menjadi referensi resmi dan yang dipercaya untuk mengidentifikasi status dan informasi kewarganegaraan seseorang. Siapapun baik perseorangan maupun lembaga dapat menjadikan referensi database nasional untuk memproses data kependudukan seseorang melalui sistem perangkat lunak kantor, lembaga atau struktur pemerintahan lokal di Indonesia. Kehadiran teknologi sistem terdistribusi dengan jenis arsitektur berbasis protokol SOAP, memungkinkan komunikasi perangkat lunak lintas platform sistem operasi dan bahasa pemrograman, berkomunikasi dengan model database apapun yang menyediakan antarmuka aplikasi layanan web. Penelitian ini telah menguji arsitektur SOAP untuk mengakses struktur data kependudukan dengan menggunakan perangkat lunak lintas bahasa pemrograman (Java dan Visual Basic .Net 2008). Pengujian menunjukan kinerja yang dapat diandalkan dengan tingkat akurasi data perolehan dan validasi record penduduk 100%. Hasil lainnya yang berjalan baik adalah pada pengujian Cross Tringgering-Event dan Penanganan struktur data server pada sisi oleh client. Meskipun demikian fleksibelitas penggunaan tipe data kompleks dan kecepatan respon server kurang begitu baik.
ANALISIS STATISTIK LOG JARINGAN UNTUK DETEKSI SERANGAN DDOS BERBASIS NEURAL NETWORK Arif Wirawan Muhammad; Imam Riadi; Sunardi Sunardi
ILKOM Jurnal Ilmiah Vol 8, No 3 (2016)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v8i3.76.220-225

Abstract

Distributed denial-of-service (DDoS) merupakan jenis serangan dengan volume, intensitas, dan biaya mitigasi yang terus meningkat seiring berkembangnya skala organisasi. Penelitian ini memiliki tujuan untuk mengembangkan sebuah pendekatan baru untuk mendeteksi serangan DDoS, berdasarkan log jaringan yang dianalisis secara statistik dengan fungsi neural network sebagai metode deteksi. Data pelatihan dan pengujian diambil dari CAIDA DDoS Attack 2007 dan simulasi mandiri. Pengujian terhadap metode analisis statistik terhadap log jaringan dengan fungsi neural network sebagai metode deteksi menghasilkan prosentase rata-rata pengenalan terhadap tiga kondisi jaringan (normal, slow DDoS, dan DDoS) sebesar 90,52%. Adanya pendekatan baru dalam mendeteksi serangan DDoS, diharapkan bisa menjadi sebuah komplemen terhadap sistem Intrusion Detection System (IDS) dalam meramalkan terjadinya serangan DDoS.
PEMODELAN ARSITEKTUR ENTERPRISE SISTEM INFORMASI CUSTOMER RELATIONSHIP MANAGEMENT MENGGUNAKAN ENTERPRISE UNIFIED PROCESS Ahmad Mubarok; Djaja Sukma Tjahjadi
ILKOM Jurnal Ilmiah Vol 11, No 3 (2019)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i3.478.231-240

Abstract

The information technology has an important role in a company or agency to run its business process. It can help to optimize the business continuity as in the customer service process. In this case, the company needs an information system to manage the relationship between the customer and company applied into the concept of Customer Relationship Management (CRM). The initial stage in the development of information systems is to design architecture including: technology architecture, data architecture, and business process architecture. The Unified Process (UP) is a framework of the instantiated software process, both the Rational Unified Process (RUP) and Enterprise Unified Process (EUP). The information system architecture of CRM uses the Enterprise UP method. It is an enterprise architecture design that can be used as a reference to build a CRM-based system that can increase core value in service to customers. The results of this study are recommendations for information systems architecture models and methods used to achieve the strategic goals of the organization, especially in terms of customer service.

Page 24 of 58 | Total Record : 580

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