cover
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
jurikom.stmikbd@gmail.com
Editorial Address
STMIK Budi Darma Jalan Sisingamangaraja No. 338 Simpang Limun Medan - Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
JURIKOM (Jurnal Riset Komputer)
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)
Articles 816 Documents
Analisis Perbandingan Rule Pakar dan Decision Tree J48 Dalam Menentukan Jumlah Produksi Kain Tenun Menggunakan Metode Fuzzy Tsukamoto Tundo Amri Mujahid; Enny itje Sela
JURIKOM (Jurnal Riset Komputer) Vol 6, No 5 (2019): Oktober 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v6i5.1510

Abstract

This study explains the comparative analysis of expert rules and J48 decision tree using Tsukamoto fuzzy in determining the amount of woven fabric production. From the results of the research analysis, it was found that the rule base model in this study was a decision tree with 83.3333% accuracy based on the J48 decision tree algorithm that was tested using WEKA tools. The results of direct comparison analysis with actual production data that J48 decision tree rule is the closest to the actual data is with an error rate of 3.89% so that the accuracy of the truth reaches 96.11%, while using expert rules has an error rate of 14.45% so that the accuracy truth obtained reached 85.55%. Therefore, an idea was found that to make a rule without having to consult with experts, that is enough to use a decision tree with WEKA tools, because WEKA tools will display the accuracy of the truth of the rules formed.
SISTEM INTERAKTIF PEMELIHARAAN IKAN MAS KOKI MENERAPKAN METODE WEB BASED LEARNING Bowo, Ade Tri; Ginting, Garuda
JURIKOM (Jurnal Riset Komputer) Vol 2, No 6 (2015): Desember 2015
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.612 KB) | DOI: 10.30865/jurikom.v2i6.346

Abstract

Dengan menggunakan Web Based Learning (WBL) dalam sistem interaktif pemeliharaan ikan mas koki dapat mempermudah para anak didik untuk memahami dan mengerti proses cara belajar jarak jauh melalui media internet. Dimana sistem interaktif ini dapat langsung merespon dengan cara memberikan umpan balik sehingga para anak didik dapat memahami dan mengerti cara memelihara ikan mas koki dengan cepat, untuk itu diperlukan suatu metode pembelajaran yang bersifat online, yang dapat diakses kapanpun dan dimanapun melalui media pembelajaran website. Ikan mas koki merupakan ikan hias yang berasal dari Cina. Ikan ini disenangi oleh penggemar ikan hias baik dalam dunia pendidikan maupun masyarakat umum. Ikan mas koki menjadi pembahasan perkembangan para pembudidaya ikan mas koki didunia pendidikan yang memperlihatkan perkembangan yang sangat pesat. Metode belajar dengan sistem ini dapat menjembatani masalah pembelajaran konvesional seperti keterbatasan waktu yang tersedia bagi para pengajar dan pelajar. Sistem Web Based Learning dibuat dengan menggunakan bahasa pemograman PHP dan MYSQL database. Dapat disimpulkan bahwa aplikasi Web Based Learning ini telah didesain dan diimplementasikan dengan fasilitas meliputi download materi, latihan dan forum. Kata Kunci : Pemeliharaan Ikan Mas Koki, Web Based Learninng
Sistem Pendukung Keputusan Pemilihan Televisi Bekas Terbaik Dengan Menggunakan Metode Multi Factor Evaluation Process (MFEP) Syahrizal, Muhammad; Maulidza, Dwi
JURIKOM (Jurnal Riset Komputer) Vol 5, No 4 (2018): Agustus 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.285 KB) | DOI: 10.30865/jurikom.v5i4.955

Abstract

Various choices, be it type, model, or feature that will make you really a dilemma, so you are very afraid to make a decision. Therefore, some tips on buying goods in this case are the best used televisions, to anticipate that you can dare to make choices without being burdened by feeling confused. Decision Support System or SPK determining the selection of goods with the method (Multifactor Evaluation Process) produces a system that can determine an option that can help distributors in making decisions. SPK is an interactive system, which helps in making decisions through the use of data and models decisions to solve problems that are semi-structured or unstructured. The results of the study are first, to implement the best-used television decision support system decision using the multi factor evaluation process method so that the data can be very close to accurate. Second, provide the best solution in deciding the selection of the best used television for buyers or consumers.
Perancangan Aplikasi Pendataan Pada Pos Pendakian Jalur Gunung Slamet Berbasis Mobile Android Suliswaningsih Suliswaningsih; Adam Prayogo Kuncoro; Geza Andika Basten
JURIKOM (Jurnal Riset Komputer) Vol 6, No 6 (2019): Desember 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (221.489 KB) | DOI: 10.30865/jurikom.v6i6.1555

Abstract

Pencatatan ataupun pendataan merupakan suatu aktifitas penulisan data atau informasi ke dalam buku atau kertas atau pemasukan ke dalam komputer. Tujuan dilakukannya pendataan adalah agar meminimalisir terjadinya kehilangan data atau informasi yang penting dari suatu obyek terkait. Salah satu organisasi yang sudah menerapkan pendataan sebagai salah satu hal wajib yang harus dilakukan adalah basecamp atau pos pendakian Gunung Slamet di jalur Bambangan, Kabupaten Purbalingga. Sistem pendataan saat ini yaitu setiap pos pendakian jalur Bambangan - Gunung Slamet, masih dilakukan secara manual dan dicatat pada buku besar. Pendaki sebelum melakukan pendakian diharuskan menunjukkan kartu identitas diri berupa KTP, selanjutnya petugas mencatat pada buku pendataan pendaki. Pos Bambangan menggunakan 4 buah buku pencatatan pendakian yang dibagi berdasarkan daerah asal pendaki. Petugas mengalami kendala ketika proses penambahan atau pencarian data pendaki yang memakan waktu lama karena petugas harus mencari data pada tiap lembar buku pencatatan. Penelitian ini bertujuan untuk merancang sistem aplikasi pendataan pendaki pada pos pendakian Gunung Slamet berbasis mobile android. Sistem yang akan dibuat berupa aplikasi berbasis penyimpanan data pada server cloud (awan), menyematkan fasilitas upload foto peserta pendaki dan syarat administratif wajib sebagai data pendukung, menggunakan MySQL sebagai database-nya. Metode yang digunakan adalah waterfall menyediakan pendekatan alur hidup perangkat lunak secara sekuensial atau teruntut dimulai dari analisis, desain, pengodean, pengujian, dan tahap pendukung (support) atau pemeliharaan (maintenance). Aplikasi dapat digunakan untuk memudahkan pendataan serta monitoring data pendakian Gunung Slamet.Kata Kunci: mobile android, cloud, mysql, waterfall, gunung slamet
PERANCANGAN APLIKASI PERMOHONAN KERJA PRAKTEK PRODI TEKNIK INFORMATIKA (STUDI KASUS: STMIK BUDI DARMA) Wahyudi, Try; Mesran, Mesran; Butarbutar, Lambok Harry OA
JURIKOM (Jurnal Riset Komputer) Vol 2, No 6 (2015): Desember 2015
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.951 KB) | DOI: 10.30865/jurikom.v2i6.524

Abstract

STMIK Budi Darma, hingga saat ini masih menggunakan microsoft word dan microsoft excel untuk pengolahan data kerja praktek mahasiswa. Hal ini mengakibatkan beberapa kendala dalam mengeluarkan surat surat yang berhubungan dengan kerja praktek. Oleh sebab hal ini disini penulis tertarik untuk melakukan penelitian dengan topik perancangan aplikasi permohonan kerja praktek pada program studi Teknik Informatika. Hasil dari penelitian ini diharapkan selesainya aplikasi permohonan kerja praktek yang memiliki beberapa laporan data yaitu laporan data mahasiswa, laporan data perusahaan, laporan data tanggal mulai, tanggal selesai kerja praktek, dan laporan data permohonan kerja praktek.
Implementasi Algoritma C4.5 Untuk Klasifikasi Tingkat Kepuasan Pembeli Online Shop Febriyanto, Dimas Bayu; Handoko, Lovi; Wahyuli, Wahyuli; Aisyah, Hanif; Rumini, Rumini
JURIKOM (Jurnal Riset Komputer) Vol 5, No 6 (2018): Desember 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (219.805 KB) | DOI: 10.30865/jurikom.v5i6.1000

Abstract

This study applies the C4.5 algorithm in deciding customer satisfaction. The type of this research is classification with the concept of data mining by involving as many as 100 data which then take a sample of 15 data consumers of Vector Polaroid & Gift Jogja categorized by satisfied and dissatisfied. The method used in this research is classification method Classification is the process of finding a collection of patterns or functions that describe and separate data classes from one another, to be used, to predict data that does not yet have a particular data class. The results of the study have an accuracy rate of 91%, with the value of precision at predictive satisfaction of 66.67% and the value of precision in predictions not satisfied at 33.3%
Implementasi Interpolasi Fractal Untuk Pembesaran Skala Pada Citra Screen Capture CCTV Putri Nurul Hasanah
JURIKOM (Jurnal Riset Komputer) Vol 7, No 1 (2020): Februari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.774 KB) | DOI: 10.30865/jurikom.v7i1.1945

Abstract

Various types of image processing that can be done by computers today such as image enlargement, image quality improvement and sharpening of an image are one of the fields that are quite popular today. Sharpening an image is very necessary so that someone can see and observe clearly the object of the image and the absence of interference. An image can have damage to some parts or blocks of pixels in the sending or storage process. This damage is the main form of error in the image, for example the image of CCTV Capture. The problem that is often faced when we want to see a CCTV recording is the obscurity of an object image that we want to see. If the Screen Capture and zoom in will be increasingly unclear the image object. The results of this Screen Capture image have a better level of sharpness if it is enlarged directly, the Screen Capture is usually used as evidence and so on. This image improvement is done by the operation process of the selection point of the results of the CCTV Screen Capture image that is used as a sample. After the Screen Capture image selection results are obtained then the image is in Grayscale to make a uniform pixel value, the next process is the process of enlarging the image of the Screen Capture image by adding new pixels. This is done by inserting the new pixel points between the points where the pixel value has been set directly from the original image. To overcome these problems requires the Fractal Interpolation method to improve image quality enhancement. With this method it is expected to be able to solve the problem of improving the image quality enlargement of the results of the CCTV Capture Screen. This research was conducted to implement the process of improving image quality magnification based on the Fractal Interpolation method. 
Sistem Pendukung Keputusan Pemberian Kredit Usaha Rakyat Menggunakan Metode Weighted Aggregated Sum Product Assesment (WASPAS) Ickhsan, Muhammad; Anggraini, Dewi; Haryono, Rocky; Sahir, Syafrida Hafni; Rohminatin, Rohminatin
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 | Full PDF (194.917 KB) | DOI: 10.30865/jurikom.v5i2.610

Abstract

Decision Support System (DSS) is a system that can assist a person in making decisions that are accurate and targeted. To assist in determining the eligibility of the recipients of the People's Business Credit (KUR), a decision support system is required. In this research, Weighted Aggregated Sum Product Assessment (WASPAS) method is used to determine the eligibility of KUR recipient customers. There are several criteria which are the basis for decision making such as credit status, business productivity, business condition, guarantee, and collectibility. Credit status means the KUR recipient is not receiving KUR elsewhere. Productivity means whether the business is productive or not, in terms of business location, type of business, and monthly income. Business condition means whether the business is running in good condition or not, seen from business management, business equipment, and Human Resources (HR). Collateral means collateral in the form of what will be used as collateral, such as house/shop, land, and BPKB. While collectibility means the smoothness of prospective recipients of KUR in paying monthly installments.
Prediksi Jumlah Penjualan Produk di PT Ramayana Pematangsiantar Menggunakan Metode JST Backpropagation Muhammad Syafiq; Dedy Hartama; Ika Okta Kirana; Indra Gunawan; Anjar Wanto
JURIKOM (Jurnal Riset Komputer) Vol 7, No 1 (2020): Februari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.554 KB) | DOI: 10.30865/jurikom.v7i1.1963

Abstract

Product is the one of thing which more important in the business especially for the retail industry. Ramayana is the one exact place for selling retail products such as clothing, shoes, or slipper. On 2012-2018, the number of sales of products in Ramayana experience curve up and down. That thing can cause profit and lose for Ramayana, to avoid that thing need to be held a prediction for the next months so that Ramayana side can know what will happen in the next months in selling it’s product and can take a step for more effective in selling it’s products. The data which used in this research is the data report monthly product sales of shoes & sandal sourced from Ramayana from 2012 until 2018. This research uses the Backpropagation neural network method using 5 architectures namely 3-26-1, 3-31-1, 3-35-1, 3-39-1 and 3-40-1. The best architecture is 3-35-1 with an accuracy rate of 92%. The results obtained are the results of the prediction of the number of sales for 2019, 2020, 2021 and 2022
Penerapan Metode Dempster Shafer Dalam Mendeteksi Kerusakan Mesin Air Berbasis Android Afrilia, Yolanda; Sembiring, Abdul Sani; Hutabarat, Hukendik
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 | Full PDF (400.294 KB) | DOI: 10.30865/jurikom.v5i2.666

Abstract

Many people do not understand the water damage, so tend to use the technician regardless of the damage. What's more to the present day many people do things quickly and accurately? Treatments that would be done alone without having to come to the service is very helpful at all for everyday life. The expert system is one of the artificial intelligence systems that contain the knowledge and experience that one expert puts into one particular area each person can use to solve a specific problem. In this case, water span range occurs in daily life. In this thesis will be discussed on how to find damage to the water machine by applying the Dempster-Shafer method. This method is used to search for evidence based on belief functions and plausible reasoning used by combining separate information (evidence) pottery to calculate the possibility of a malfunction.

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