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JURIKOM (Jurnal Riset Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 2407389X     EISSN : 27157393     DOI : http://dx.doi.org/10.30865/jurikom.v7i1.1927
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,069 Documents
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Penerapan MOORA Untuk Mendukung Efektifitas Keputusan Manajemen Dalam Penentuan Lokasi SPBU Afriany, Joli; Sinurat, Lidia Ratna Br; Julianty, Indah; Nainggolan, Efidoren L
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i2.655

Abstract

A common refueling station is a place where motor vehicles can get fuel. The Fuel Filling Station is known as SPBU (an abbreviation of the General Fuel Filling Station). MOORA, which is Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) is one of the MADM methods that can perform calculations on the value of attribute criteria that help decision makers to produce the right decision in public fuel (gas station). Decision Support System is a computer-based system aimed at assisting decision making in utilizing certain data and models to solve various unstructured problems.
IMPLEMENTASI LINEAR CONGRUENT METHOD (LCM) PADA GAME HANGAROO BERBASIS ANDROID Purnamasari, Dwi Rizki
JURIKOM (Jurnal Riset Komputer) Vol 3, No 1 (2016): Februari 2016
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v3i1.39

Abstract

Teknologi dan dunia game yang mengalami perkembangan cukup pesat menyebabkan berbagai inovasi untuk mendukung kemutakhiran dari game tersebut, sehingga memberikan dampak yang cukup besar bagi perkembangannya. Ada bermacam-macam game yang beredar dikalangan masyarakat, dari game yang sangat sederhana sampai game yang sangat rumit. Salah satu game yang sederhana dan masih sering dimainkan adalah game hangaroo. Game hangaroo merupakan permainan menyusun huruf per huruf dengan aturan soal yang telah teracak. Untuk mempermudah mengacak pertanyaan, digunakan suatu metode pengacakan agar soal yang ditampilkan tidak berurut, karena jika hal tersebut terjadi maka, jawabannya akan mudah ditebak.Linear Congruent Method (LCM )merupakan metode untuk pembangkit bilangan acak, dimana pengacakan kemunculan soal akan terjadi pengulangan pada periode waktu tertentu atau setelah sekian kali pembangkitan dengan nilai pengacakan yang telah ditentukan.  Kata Kunci : game, hangaroo, linear congruent method
PERBANDINGAN METODE SOBEL DENGAN METODE PREWITT UNTUK MENDETEKSI SISI TEPI PADA CITRA DIGITAL Suryanita, Suryanita
JURIKOM (Jurnal Riset Komputer) Vol 4, No 5 (2017): Oktober 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v4i5.684

Abstract

Data atau informasi tidak hanya disajikan dalam bentuk teks, tetapi dapat juga berupa gambar, audio (bunyi/ suara/ musik), dan video. Pada gambar istilah lainnya yaitu citra, mempunyai karakteristik yang tidak dimiliki oleh data berbentuk teks. Deteksi tepi sangat penting dalam pengolahan citra karena pendeteksian tepi merupakan langkah pertama untuk melingkupi informasi di dalam citra. Tujuan operasi pendeteksi tepi adalah untuk meningkatkan penampakan garis batas suatu daerah atau objek di dalam citra. Metode robert merupakan differensial pada arah horizontal dan differensial pada arah vertikal, dengan ditambahkan proses konversi biner setelah dilakukan differensial dan metode prewitt merupakan fungsi laplacian yang dikenal sebagai fungsi untuk membangkitkan HPF (High Pass Filter).
IMPLEMENTASI METODE SIMPLEKS UNTUK MAKSIMALISASI KEUNTUNGAN PENJUALAN PADA TOKO RIMA SOURAYA CAKE Susanti, Susi
JURIKOM (Jurnal Riset Komputer) Vol 3, No 1 (2016): Februari 2016
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v3i1.54

Abstract

Toko Rima Souraya Cake merupakan toko roti terbesar di Kota Subulussalam yang memproduksi berbagai jenis roti basah dan kering. Dalam produksinya, toko rima souraya cake kurang memanfaatkan bahan yang tersisa sehingga keuntungannya kurang maksimal. Penentuan solusi optimal dilakukan dengan memeriksa kebutuhan bahan satu persatu dengan cara perhitungan iteratif. Sehingga penentuan solusi optimal dengan simpleks dilakukan tahap demi tahap yang disebut iterasi. Dalam perancangan program linier ini penulis menggunakan metode simpleks untuk menyelesaikan masalah optimalisasi yang memiliki dua variabel atau lebih dimana metode simpleks merupakan salah satu bagian dalam ilmu manajemen operasional khususnya operasional riset yang memungkinkan para manajer mengambil keputusan mengenai kegiatan yang ditangani dengan dasar kuantitatif. Riset operasi juga merupakan aplikasi metode-metode, teknik-teknik dan peralatan ilmiah dalam menghadapi masalah-masalah yang timbul dalam operasi perusahaan dengan tujuan menemukan pemecahan yang optimal. Kata Kunci: Maksimalisasi, Keuntungan, dan Simpleks.
APLIKASI SISTEM PAKAR DIAGNOSA PENYAKIT AYAM BERBASIS WEB DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR (CF) Andriyani, Putri
JURIKOM (Jurnal Riset Komputer) Vol 4, No 5 (2017): Oktober 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v4i5.709

Abstract

Sistem pakar (expert system) secara umum adalah sistem yang berusaha mengadopsi pengetahuan manusia ke komputer agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli penyakit ayam memang merupakan persoalan yang cukup serius untuk para peternak ayam. Apalagi ketika ayam tersebut menderita penyakit yang berakibatkan kematian. Hal ini dapat diketahui dari tanda-tanda gejala penyakit yang ada pada ayam. Diharapkan dengan sistem ini, para peternak dan masyarakat dapat menyelesaikan masalah tertentu baik sedikit rumit maupun rumit sekalipun tanpa bantuan para ahli dalam bidang tersebut. Sedangkan bagi para ahli, sistem dapat digunakan sebagai asisten yang berpengalaman. Apilkasi yang dikembangkan ini bertujuan untuk menentukan jenis penyakit pada ayam dengan hanya memperhatikan gejala-gejala yang dialami. Dengan menggunakan metode Certainty factor (CF), didapatkan nilai kemungkinan ayam menderita penyakit atau tidak. Metode certainty factor (CF) sangat bermanfaat untuk sistem pakar diagnosa penyakit ayam.
Analisis Trending Topik Twitter dengan Fitur Ekspansi FastText Menggunakan Metode Logistic Regression Izzan Faikar Ramadhy; Yuliant Sibaroni
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3791

Abstract

Twitter is a social media that contains information such as the latest news, a person's biography, and tweets from users. Twitter has a feature called trending topics that serves to find out information on certain topics that are currently popular. In fact, it is often difficult to understand what trending topics are happening. Therefore, it is necessary to classify trending topics into a general category. This study aims to analyze and classify Twitter topic trending information by dividing several topic trend labels using the FastText expansion feature method. The FastText expansion feature is used to reduce vocabulary mismatches in a tweet. The classification process of this system will use the Logistic Regression method. The best results were obtained in this study using test data scenarios, 90:10 training data with 76.39% accuracy. The most discussed trending topic from September 2021 to October 2021 was politics with a percentage of 15.83%, followed by religion 12.64% and technology 10.42%
Segmentasi Tingkat Kematangan Buah Pisang Cavendish Sangat Matang Berdasarkan Warna Menggunakan Watershed Ageng Muktianto; Vidya Indriyani
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3828

Abstract

The Cavendish banana is considered to be one of the most sought-after export-oriented fruit in Indonesia. The large market size of export fruits, especially Cavendish bananas, opens opportunities for Indonesia to raise both its product quantity and quality in order to increase its competitiveness. Various methods have been conducted to increase the quantity and quality of Indonesia's cavendish bananas, one of which is the adoption of the image processing technology. This method aims to simplify and resolve cultivation and processing issues regarding Cavendish bananas, among other things by minimizing human error in determining fruit ripeness (which is traditionally conducted by manual labor). This research uses HSV segmentation and a Watershed algorithm in segmenting images of 50 ripe Cavendish bananas with 40 training data and 10 testing data. Based on our research, we founda out that ripe Cavendish bananas have 42% red, 37% green, and 21% blue in average, with an accuracy rate of 65%
Pemilihan Model Arsitektur Terbaik Dengan Mengoptimasi Learning Rate Pada Neural Network Backpropagation Cici Astria; Agus Perdana Windarto; Irfan Sudahri Damanik
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3834

Abstract

Backpropagation is one of the methods contained in a neural network that is able to train dynamic networks using mathematical knowledge based on architectural models that have been developed in detail and systematically. Backpropagation itself is able to accommodate a lot of information that serves as a useful experience. However, the Backpropagation Algorithm tends to be slow to achieve convergence in obtaining optimum accuracy and requires large training data and the optimization used is less efficient. The purpose of this research is to optimize the learning rate on backpropagation neural networks. Source of data obtained from CV. Bona Tani Hatonduhan. There are 3 network architecture models used in this study, namely 2-51, 2-6-1, and 2-7-1 with learning rates of 0.1, 0.2, and 0.3. the results of trials carried out with MATLAB software produced the best architectural model, namely the 2-7-1 model with a learning rate of 0.3 with an accuracy of 83%. Based on this background, it is hoped that the results of the research can help in the process by optimizing the learning rate of the backpropagation Neural Network on the selection of the best architecture.
Sistem Pakar Diagnosis Penyakit Rhinitis Menggunakan Metode Forward Chaining Berbasis Web Aghnia NurJumala; Novian Adi Prasetyo; Hari Widi Utomo
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3815

Abstract

The development of technology and information systems that are growing rapidly as it is today, requires everyone to continue to develop knowledge so as not to be out of date. The use of technology today can be used in all fields, such as education, security, health, and so on. Expert systems in the health sector are designed and made to imitate an expert who can facilitate the work of an expert in making decisions to solve problems. In a case study conducted at the Dadi Family Hospital, Purwokerto, data were obtained from patients with a diagnosis of rhinitis, the majority of whom did not know information about the symptoms and diseases. Rhinitis is an inflammatory disease or inflammation of the nasal mucosa that is triggered by certain allergens. The increasing number of ENT diseases, especially rhinitis, is not accompanied by the number of experts. In this case, it is necessary to conduct an analysis to speed up the diagnosis process by medical personnel. Based on the case study, an information system is needed that can be used by its users as a source of information as well as a more practical consultation media. In designing this system using PHP and MySQL with research datasets obtained from hospital medical records. For the development of the system using the waterfall method with the forward chaining method as a method of searching or drawing conclusions based on existing data or facts leading to conclusions. Then in testing the system using the black box as a feature functionality test, as well as testing the System Usability Scale (SUS) as a system feasibility test, and testing the accuracy of the expert system using the confusion matrix. For the results of the accuracy of this expert system obtained by 93%
Deteksi Dini Hama dan Penyakit Padi Menggunakan Metode Certainty Factor Sulistiyanto Sulistiyanto; Tri Aristy Saputri; Noviyanti Noviyanti
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3778

Abstract

Padi is one of the main food commodities. Every year the need for rice continues to increase, as fulfillment of domestic and export needs. Various efforts were made in order to increase rice production, including superior seed seed research, expansion of planting land and counseling and mentoring to farmers. Pests and diseases are one of the 'main factors that have an impact on the decline in the productivity of rice plants. Recognizing Symptoms of the disease requires skills and experience and knowledge. Symptoms that arise often by farmers are difficult to recognize and only experts who can identify it correctly and correctly. The limitations of agricultural experts in the region, are obstacles for farmers when they want to consult. The expert system can then be an alternative solution to replace the expert role in deciding the type of disease that attacks. This study aims to design an expert system using certainty factors for website-based to help farmers in deciding the type of disease. Diseases that are sampled include blast, hawar daun (kresek), busuk pelepah, tungro (kerdil), chocolate spots and striped spots. The method used in this research is Reseach And Development (RND).The results of system output testing validated by experts have an accuracy of 66.67%, and system testing with blackbox testing is declared valid to the main features of the system. It is expected that this expert system, farmers become helped in deciding the type of disease that attacks their rice and can take preventive actions so as not to spread to other rice plants

Page 44 of 107 | Total Record : 1069

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