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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 897 Documents
Klasifikasi Topik Multi Label pada Hadis Shahih Bukhari Menggunakan K-Nearest Neighbor dan Latent Semantic Analysis Dian Chusnul Hidayati; Said Al Faraby; Adiwijaya Adiwijaya
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 (236.258 KB) | DOI: 10.30865/jurikom.v7i1.2013

Abstract

Hadith is the second source of Islamic law after Al-Quran, making it important to study. However, there are some difficulties in learning hadith, such as to determine which hadith belongs to the topic of suggestions, prohibitions, and information. This certainly obstructs the hadith learning process, especially for Muslims. Therefore, it is necessary to classify hadiths into the topic of suggestions, prohibitions, information, and a combination of the three topics which also called as multi-label topic. The classification can be done with the K-Nearest Neighbor, it is one of the best methods in the Vector Space Model and is the simplest but quite effective method. However, the KNN has a lack in dealing with high vector dimension, resulting in the long time computing classification. For that reason, it is necessary to classify Sahih Bukhari's Hadiths into the topic of recommendations, prohibitions, and information using the Latent-Semantic Analysis - K-nearest Neighbor (LSA-KNN) method. Binary Relevance method is also employed in this research to process the multi-label data. This research shows that the performance of LSA-KNN is 90.28% with the computation time is 19 minutes 21 seconds and the performance of KNN is 90.23% with the computation time is 37 minutes 06 seconds, which means that the LSA-KNN method has a better performance than KNN
Sistem Pakar Untuk Mendiagnosa Kerusakan Mesin Wet And Dry Vacum Cleaner Menggunakan Metode Certainty Factor (Studi Kasus: PT. ISS Indonesia) Zega, Zulfan Anugerah; Nadeak, Berto; Zebua, Taronisokhi
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 (270.193 KB) | DOI: 10.30865/jurikom.v5i2.661

Abstract

Wet and Dry Vacuum Cleaner machines are often damaged, thus slowing down the work of cleaning service operators in completing a job. The slow technician in finding the solution of damage to Wet and Dry Vacum Cleaner machine and schedule of technicians who have been determined in two times a month to check on the condition of Wet and Dry Vacum Cleaner machine in the areas become one of the causes of inhibition of the work of cleaning service operators causing the loss on the side of time efficiency and cost incurred by the company. One solution that can be given to solve the problems being faced by PT. ISS Indonesia is utilizing an expert system-based applications. Expert system application that serves as a solution of the above problems work based on Certainty Factor method built with Microsoft Visual Studio 2008 programming language integrated with MySQL database to store data that become symptom and rules needed when doing the diagnosis by the system. This research will produce the output that is if user or user of a system does the diagnosis by choosing answer given by system through consultation form hence will yield output result of diagnosis of damage in the form of confidence level and solution of damaged machine Wet and Dry Vacum Cleaner.
Analisa Sistem Inference Fuzzy Sugeno Dalam Menentukan Harga Pembelian Tanah Untuk Pembangunan Komplek Perumahan Diwilayah Kutacane Aceh Tenggara Rahmat Rahmat
JURIKOM (Jurnal Riset Komputer) Vol 6, No 1 (2019): Februari 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.955 KB) | DOI: 10.30865/jurikom.v6i1.1292

Abstract

Expert System (Expert System) is an information system that contains knowledge from an expert who has the knowledge, research, experience, special methods, and the ability to apply certain talents in their fields in solving problems that are applied to a system so that it can be used for consultation. Expertise (expertise) is extensive and specific knowledge obtained through a series of training, reading, and experience. Expert systems can also be used to help an expert or the general public to solve their problems in certain cases. One of the factors that causes failure is the maximum application of information technology. One of the uses of this technology is the use of expert systems. Given the importance of the value of a result to be saved because it is very useful for buyers, it is necessary to create a knowledge-based expert system that uses the Sugeno fuzzy method. Expert systems should be equipped with facilities that can provide certainty about system output. Many ways can be used to calculate the value of system output uncertainty. However, in this study it is necessary to make a knowledge-based expert system that uses the Sugeno fuzzy method by calculating the value to find the value with the previous case. Based on the tests carried out, it can be seen that fuzzy is able to produce the response as expected, namely being able to determine the area that has land suitable for building a housing complex.
PERANCANGAN APLIKASI PEMBELAJARAN KALKULUS 1 DENGAN MENGGUNKAN METODE COMPUTER ASSITED INSTRUCTION (CAI) Lazuardy, Gunawan; Tonni, Tonni
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 | Full PDF (622.397 KB) | DOI: 10.30865/jurikom.v3i1.43

Abstract

Pada saat ini sistem pembelajaran kalkulus 1, dalam penyampaian materi dalam pembelajaran kalkulus 1 pada SMA NEGERI 1 LHOKSUKON, pada saat ini guru setiap penyampaian materi guru masih menulis di papan tulis. Dalam setiap penyampaian materi guru masih menggunakan buku dalam penyampaian materi pada siswa.Oleh karena itu, guru perlu memberikan bantuan atau dorongan dalam pelajaran kalkulus 1, dibutuhkan sebuah media yang dapat menunjang minat serta daya tarik pada siswa terhadap pelajaran kalkulus 1, menerapkan materi yang disampaikan oleh guru. Dalam metode Computer Assited Instruction (CAI). Dapat menampilkan pembelajaran menggunakan berbagai jenis media baik teks, gambar dan video. Dengan peserta didik mendapatkan kesempatan untuk mengembangkan kemampuannya tanpa harus terus menerus diberi informasi secara searah oleh pengajar. Pada Perangkat lunak yang digunakan yaitu Macromedia Flash 8 sebagai software yang mendukung dalam pembelajaran kalkulus 1. perangkat lunak ini digunakan sebagai media pembelajaran untuk mengatasin permasalahan – permasalahan dalam pembelajaran.   Kata Kunci: Pembelajaran, CAI (Computer Assited Instruction), Macromedia Flash 8
Implementasi Metode Hybrid Case-Based Reasoning Untuk Mendiagnosa Pengidap Penyakit Post-Traumatic Stress Disorder(PTSD) Erdina Daniati Simanjuntak; Hery Sunandar; Rivalri Kristianto Hondro
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.782 KB) | DOI: 10.30865/jurikom.v7i2.2085

Abstract

Post Traumatic Stress Disorder is a mental condition where a person experiences panic attacks that are triggered by past experience trauma. Having a traumatic event is a hard thing for anyone. Health services to the community are needed to support a healthy lifestyle. Limitations of health services in the community that are inadequate have a lot of negative impacts on some people who suffer from an illness, especially mental disorders caused by several events. This limitation will become an obstacle due to lack of health infrastructure in terms of consultation of the disease so that sufferers do not know the symptoms such as what they have experienced and how far the disease has been identified, so it is very much needed a solution and alternative in handling the problem of limited health services. By building a system that can help people with the disease, is expected to provide solutions for people with disease to take an action or consultation with an expert based on the system.
ANALISA KINERJA KARYAWAN MENGGUNAKAN METODE C4.5 DAN FUZZY TSUKAMOTO Hanapi, Hanapi
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.v4i5.687

Abstract

Analisa terhadap kemampuan sumber daya manusia  ( SDM ) khususnya pada kinerja yang dimiliki,  merupakan  hal  yang  sangat  penting  dilakukan  oleh sebuah   institusi   untuk   menjamin   kelancaran   dan efisiensi  kerja  karyawan.  Banyak institusi yang berusaha untuk melakukan analisa kinerja sehingga diharapkan mampu menempatkan SDM sesuai dengan talentanya agar dapat memperoleh hasil yang lebih baik yang dapat menguntungkan perusahaan. Penelitian ini menggunakan data awal berupa data. dalam bentuk himpunan tegas/nyata (crisp) yang berupa bilangan numerik/angka. Untuk menterjemahkan data tersebut ke dalam bentuk  linguistic term, peneliti menggunakan logika fuzzy  (proses fuzzifikasi) untuk proses preprocessing data yang di hasilkan akan digunakan untuk fuzzy C4.5. Algoritma  C4.5 menggunakan data dalam bentuk himpunan tegas/nyata (crisp) misalkan untuk kinerja dengan kriteria personal1 digunakan range angka yaitu personal1<=22.26 dan personal1>22.26 untuk mendapatkan kesimpulan, sedangkan dalam kenyataannya nilai kinerja dapat berupa himpunan tidak tegas  (fuzzy)  yang  dapat  digolongkan  ke  dalam  nilai baik, cukup dan kurang, sehingga lebih mudah dibaca dan dipahami oleh orang awam metode tusakamoto metode mengaplikasikan penalaran monoton pada setiap aturannya. 
Segmentasi Citra Ct Scan Paru-Paru Dengan Menggunakan Metode Active Contour Nurul Fadillah; Chicha Rizka Gunawan
JURIKOM (Jurnal Riset Komputer) Vol 6, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.556 KB) | DOI: 10.30865/jurikom.v6i2.1166

Abstract

The lungs are one of the important organs in the human body. Because the lungs are one of the holders of control in the circulatory system in the human body. According to some internal medicine specialists, the lungs are the most vulnerable internal organs to damage, this is due to lung function that comes in direct contact with the outside environment such as inhaled cigarette smoke, vehicle fumes, or is allergic to something. So that the lungs are hollow and eroded. Therefore detection of human lungs is needed. To find out damage to the lungs, a CT scan image process is needed. In CT-Scan images there is information that is used to analyze and know the shape of an object from the lung itself. To obtain this information, it is necessary to do a segmentation process. In this study using the Active Contour method. Active Contour is a segmentation method that is often used because this method uses a closed curve model that can move wide or narrow. The purpose of this study was to segment the lungs on CT-Scan images by using the active contour method to determine the value of the area and perimeter of the lung section that was good and to find the accuracy value of the method used for a CT-Scan image. The results of lung segmentation were carried out a system trial carried out on 15 CT-Scan image data obtained an average accuracy of 80%
SISTEM PAKAR DIAGNOSA PENYAKIT ALERGI KULIT EKSIM PADA ORANG DEWASA MENGGUNAKAN METODE CERTAINTY FACTOR Utomo, Yoga
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 | Full PDF (588.986 KB) | DOI: 10.30865/jurikom.v3i1.60

Abstract

Alergi adalah suatu perubahan reaksi atau respon pertahanan tubuh yang menolak dan tidak tahan terhadap zat-zat tertentu yang sebenarnya tidak berbahaya. Alergi kulit eksim merupakan kelainan kulit dimana kulit tampak meradang dan iritasi, peradangan bisa terjadi di seluruh tubuh. Perkembangan teknologi komputer pada saat ini berjalan sangat cepat, hampir semua bidang memanfaatkan komputer begitu juga dalam dunia medis dengan menggunakan teknologi komputer berbasis pengetahuan, fakta, dan penalaran dapat digunakan dalam dunia medis, untuk menyelesaikan permasalahan diantaranya adalah tentang penyakit alergi eksim pada orang dewasa.Penelitian ini mengidentifikasi penyakit alergi kulit eksim dan penyebabnya, serta menerapkan metode certainty factor dan merancang sistem pakar untuk mendiagnosa penyakit alergi kulit eksim.Untuk mendiagnosa penyakit alergi kulit eksim pada orang dewasa menggunakan metode certainty factor. Pasien akan diberikan pertanyaan-pertanyaan untuk mendapatkan nilai kemungkinan dan kemudian nilai yang didapat akan diselesaikan dengan rumus certainty factor, sehingga didapat hasil diagnosa serta persentasi kemungkinan mengalami penyakit alergi eksim. Kata kunci : alergi kulit eksim, certainty factor, sistem pakar
PERANCANGAN APLIKASI PEMBELAJARAN PAKAIAN ADAT ASLI INDONESIA BERBASIS MULTIMEDIA DAN WEB MENERAPKAN METODE COMPUTER ASSISTED INSTRUCTION (CAI) Sagala, Gamrina; Mesran, Mesran; Sutiksno, Dian Utami; Yuhandri, Yuhandri; Suginam, Suginam
JURIKOM (Jurnal Riset Komputer) Vol 4, No 4 (2017): Agustus 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (215.019 KB) | DOI: 10.30865/jurikom.v4i4.711

Abstract

Pakaian adat merupakan simbol kebudayaan yang dimiliki oleh suatu daerah. Pakaian adat juga dapat menjadi simbol yang dimiliki daerah tersebut. Sehingga dengan mengetahui nama dari suatu pakaian adat dapat mewakili suatu daerah dari pakaian adat tersebut berasal. Setiap daerah di Indonesia mempunyai pakaian adat yang berbeda-beda. Biasanya pakaian adat dikenakan untuk memperingati hari besar misalnya, hari kelahiran, pernikahan, kematian, ataupun hari-hari besar keagamaan. Setiap daerah memiliki pengertian pakaian adat sendiri-sendiri. Pentingnya mengenal pakaian adat Asli Indonesia membuat penulis tertarik untuk membuat suatu aplikasi pembelajaran yang digunakan oleh peserta didik dalam mempelajari kebudayaan suatu daerah. Proses pembelajaran yang dibuat akan lebih menarik apabila diterapkannya suatu metode sebagai alat bantu didalam melakukan pembelajaran. Pada penelitian ini peneliti tertarik untuk menggunakan metode CAI (Computer Assisted Instruction), yang didalamnya terdapat materi, drill/practice, simulasi dan game.
Sistem Pendukung Keputusan Pemilihan Induk Ikan Lele yang Berkualitas Untuk Meningkatkan Produksi Benih Ikan Lele Menggunakan Metode MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis) Dwi Nanda Cahyo; Muhammad Zunaidi; Widiarti Widiarti
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (147.69 KB) | DOI: 10.30865/jurikom.v6i3.1204

Abstract

The demand for national catfish seeds continues to increase. Therefore, catfish hatchery is a very prospective business for the future. The quality of the catfish parent in Indonesia which has greatly decreased makes the cultivation time longer and the quality of the seeds less good. To get good catfish seeds, researchers must look for quality catfish first. Before spawning, the mother catfish must feed a lot and also vitamins first in order to increase their production. In this case, the Decision Support System for Determining quality catfish is made using the MOORA (Multi-Objective Optimization Based on Analysis of Ratio) method, a method that will determine the choice to look for quality ones. Results Conclusions with this system indicate a system that determines predetermined criteria.

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