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Comparison of Accuracy in Naïve Bayes and Random Forests in Classification of Liver Disease Ahmadi Irmansyah Lubis; Umri Erdiansyah; Rosma Siregar
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 1 (2022): January 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.045 KB) | DOI: 10.24114/cess.v7i1.28888

Abstract

Pada penelitian ini bertujuan untuk melakukan komparasi terhadap metode Naïve Bayes dan Random Forest dalam klasifikasi data pasien penyakit liver. Adapun data pengujian yang digunakan yaitu Indian Liver Patient Dataset (ILPD) yang diperoleh dari UCI Machine Learning Repository. Dataset tersebut memiliki 583 record data, 10 kriteria, dan 1 variable kelas serta dengan jumlah kelas sebanyak 2 kelas atribut, serta data set tersebut berjenis multivariate. Terdapat beberapa tahapan preprocessing yang dilakukan, antara lain normalisasi data yang diujikan, selanjutnya dilakukan analisis klasifikasi menggunakan metode naïvebayes dan random forest. Berdasarkan hasil pengujian yang dilakukan dalam memperoleh nilai akurasi perhitungan klasifikasi menggunakan Confusion Matrix, maka metode Random Forest memperoleh hasil yang terbaik yaitu dengan peroleh akurasi sebesar 70.60 % bila dibandingkan dengan Naïve Bayes yang hanya memperoleh akurasi sebesar 55.80 %. Sehingga Random Forest memiliki performa kinerja yang lebih unggul dalam perolehan akurasi yang dihasilkan dalam klasifikasi penyakit liver.
Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Saham Terbaik Pada Sektor Teknologi Rosma Siregar; Kartika Sari; Siti Julianita Siregar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3425

Abstract

Stocks are one of the many investments that are favored by all groups because they promise high returns. But in addition to promising high returns, stocks can also provide a high risk of loss, which makes ordinary people afraid to start investing in the stock market. To prevent losses in buying stocks is to choose stocks with good fundamentals. To support this, we need an analysis that can help make decisions in choosing the best stocks in the technology sector. The saw method analysis will be used in this study, where the saw method is able to select alternatives based on predetermined categories. This study will rank the best stocks based on company fundamentals, namely EPS, PER, PBV, ROE, DER and Dividend Yield. The results of this study are EDGE stocks as the best stocks in the technology sector with the highest value of 0.88. The purpose of this research is to help investors choose stocks before investing in technology companies.
Evaluasi Kinerja Karyawan Kontrak Menggunalan Metode Fuzzy Tsukamoto Kartika Sari; Rosma Siregar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3441

Abstract

Contract employees are employees who work in contact with a certain time agreement. However, there are times when contact employees with good performance will change their status to permanent employees. To determine whether an employee is a permanent employee, an evaluation of whether the employee's performance is worthy of being appointed as a permanent employee is required. However, to carry out this evaluation, a variable is needed to make an assessment. In the performance evaluation it is not easy to determine the value of each variable. To assist an HRD in determining the appointment of a contact employee to become a permanent employee, a decision support system is needed to facilitate HRD work. The decision support system is made using the Tsukamoto fuzzy logic method because the Tsukamoto fuzzy has a tolerance for value data. The result of the research is that the employee can be appointed as a permanent employee with a value of 93.4. The purpose of this decision support system is to determine whether or not contract employees are eligible to become permanent employees based on alternative disciplines, ways of working and behavior.
Perancangan dan Pembangunan Sistem Informasi Manajemen berbasis Website Pada Masjid Taqwa Al-Falah Ranting Muhammadiyah Pasar VII Tembung Ahmadi Irmansyah Lubis; Feri Setiawan; Lusiyanti Lusiyanti; Umri Erdiansyah; Rosma Siregar
Jurnal Pengabdian Masyarakat IPTEK Vol. 2 No. 1 (2022): Edisi Januari 2022
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v2i1.4757

Abstract

Perancangan dan pembangunan sistem informasi manajemen berbasis website pada Masjid Taqwa Al-Falah Ranting Muhammadiyah Pasar VII Tembung didasari atas hasil wawancara dengan Pimpinan Ranting Muhammadiyah Pasar VII Tembung yang dimana memiliki permasalahan dalam melakukan pendataan keanggotaan, serta transparansi laporan keuangan. Maka dengan membangun sebuah Sistem berbasis Website yang nantinya dapat memberikan manfaat bagi Masjid Taqwa Al-Falah Ranting Muhammadiyah Pasar VII Tembung dalam pengelolaan informasi kegiatan, penyimpanan database keanggotaan, serta pencatatan dokumen dan laporan keuangan. Dengan adanya Sistem Informasi Manajemen tentunya memberikan kemudahan yang dapat membantu menyelesaikan permasalahan pengelolaan informasi pada Masjid Taqwa Al-Falah Ranting Muhammadiyah Pasar VII Tembung.
Intelligent Decision Support System in the Selection of Children's School Types Based on IQ, SQ, and EQ in Aceh Cut Fadhilah; Nunsina Nunsina; Rosma Siregar
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7340

Abstract

Schools are institutions for students to carry out early stages of education that are tailored to their level. Developments that continue to show their existence have a very rapid impact, for example school institutions. Currently, there are permanent schools (pondok/pesantren) or public schools (state/private) with their respective performances. However, the tendency of parents to choose the best school according to him without paying attention to the child's growth and development first. This often occurs after the transition from elementary school to junior high school (SMP). Especially for the Aceh area, where the majority of children are directly in hostel with the hope that the child can grow optimally without reviewing the advantages and disadvantages. The rapid development of technology in Indonesia has contributed a lot to the problems experienced by society with the birth of various kinds of intelligent systems. The development of an intelligent system based on this expert system can be a solution to the problems that arise for parents now, can determine the type of school children will go to in the future. by implementing a method that is able to make decisions by providing the best solution. The purpose of this study is to build an intelligent system that is able to provide decision support in determining the type of school. By providing services to parents in the form of a web service-based interface system. As well as understanding the type of child's ability before deciding to be in a boarding school or public school, especially at the junior high school level.
Analisis Certainty Factor Dalam Mendiagnosa Tipe Diabetes Berbasis Web Kartika Sari; Rosma Siregar; Astri Syahputri
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.483 KB) | DOI: 10.47065/josh.v3i4.1793

Abstract

This study discusses certainty factor analysis to diagnose diabetes mellitus (DM) which is implemented in a smart system that aims to make it easier for people to know the type of diabetes. A person's lifestyle is the main thing in maintaining health, but if you have an unhealthy lifestyle, it will cause disease. One of the many diseases caused by an unhealthy lifestyle is diabetes mellitus. The system built in this research will be implemented using the certainty factor (CF) method. Users can choose what symptoms are experienced on the system, where the symptoms are obtained from an expert. The output of this expert system is to diagnose the user as having type 2 diabetes mellitus. This research yielded 84% results. The purpose of this study is to help the community in diagnosing the type of diabetes experienced so that they can get the right treatment.
MEDIA PEMBELAJARAN INTERAKTIF MATAKULIAH PENGGUNAAN DAN PENGATURAN MOTOR LISTRIK DENGAN MEMANFAATKAN TEKNOLOGI FLASH Muhammad Dani Solihin; Erita Astrid; Rosma Siregar; Muhammad Isnaini; Harvei Desmon Hutahaean
Jurnal Teknologi Pendidikan (JTP) Vol 16, No 1 (2023): April - Jurnal Teknologi Pendidikan
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jtp.v16i1.44822

Abstract

Abstrak: Media pembelajaran merupakan hal yang sangat penting dalam proses pembelajaran. Media pembelajaran yang baik sangat efektif digunakan dalam pembelajaran. Peneliti mengembangkan media pembelajaran interaktif dengan tujuan untuk menghasilkan produk berupa media pembelajaran dalam bentuk CD Interaktif yang dapat digunakan dalam proses pembelajaran. Media pembelajaran pada penelitian ini berdasarkan model desain ADDIE (Analysis, Design, Development, Implementation, and Evaluation). Adapun metode penelitian dilakukan dengan menggunakan langkah-langkah penggunaan metode research and development  (R & D). Hasil penelitian menunjukkan CD Interaktif ternyata mendapat respon antusias dari mahasiswa dan sangat efektif digunakan dalam pembelajaran. Kata kunci: Media Pembelajaran, Model ADDIE, Penelitian dan Pengembangan Abstrack: Learning media is very important in the learning process. Good learning media is very effective in learning. Researchers develop interactive learning media with the aim of producing products in the form of learning media in the form of Interactive CDs that can be used in the learning process. The learning media in this study are based on the ADDIE design model (Analysis, Design, Development, Implementation, and Evaluation). The research method is carried out using the steps of using research and development (R & D) methods. The results showed that the Interactive CD received an enthusiastic response from students and was very effective in teaching and learning. Keywords: Learning Media, ADDIE Model, Research and Development
Perancangan Sistem Pendukung Keputusan Berbasis Web Untuk Menentukan Asisten Laboratorium Komputer Menggunakan Algoritma Simple Additive Weighting Rosma Siregar; Erita Astrid; Muhammad Dani Solihin
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.240

Abstract

The computer laboratory is one of the facilities that support the learning process, therefore, a professional laboratory management system is required to assist lecturers with computer laboratory upkeep. In the process of selecting laboratory assistants it takes quite a long time, is less efficient and cannot save the history of selection results automatically. So this research will create a decision support system using the simple additive weighting method to assist lecturers in selecting computer laboratory systems efficiently. The criteria used for selection were the GPA (Cumulative Achievement Index), Hardware Installation Tests, Software Installation Tests, LAN Installation Tests, Programming Tests, and Interviews. The final results of calculations using the simple additive weighting method will choose 2 alternatives with the highest scores to become computer laboratory assistants, namely alternative 4 (X4) with a value of 0.97 and alternative 2 with a value of 0.91 (X2). The decision support system will be built based on a website and the database system will use MySql.
Pendampingan Peningkatan Strategi Pemasaran Produk Industri Kreatif Sablon Pakaian Dengan Memanfaatkan Teknologi Informasi Marsangkap Silitonga; Harvei Desmon Hutahaean; Ali Akbar Lubis; Rosma Siregar
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 2 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v4i2.955

Abstract

Usaha jasa desain dan sablon berbasis website sebagai media pemesanan merupakan usaha yang sangat menjanjikan, hal ini dikarenakan pesatnya perkembangan dunia fashion terutama yang sedang melanda anak muda di era modern sekarang menyebabkan kebutuhan akan ketersediaan fashion semakin meningkat. Ini bisa dilihat dengan begitu maraknya pusat perbelanjaan yang menjual dan mengiklankan bermacam-macam gaya fashion. Dalam kegiatan pelaksanaan program kemitraan masyarakat ini, beberapa permasalahan yang dialami mitra yaitu tidak adanya media pemasaran serta ketidaktahuan mitra dalam penggunaan teknologi untuk mempromosikan atau memasarkan produknya. Dengan adanya kegiatan PKM ini tim melakukan pendampingan dalam pengelolaan sablon serta pengenalan teknologi pemasaran. Dengan adanya teknologi baru dalam dunia sablon yang berupa digital printing semakin mempermudah dan memperindah hasil sablon. Pelaksanaan Program Kemitraan Masyarakat sangat membantu mitra dalam hal peningkatan strategi pemasaran pakaian sablon. Startup yang dikembangkan dapat memudahkan mitra dalam memperluas pangsa pasar dan mengenalkan produk sablon
The Optimal Capacitors Allocation and Sizing in Radial Distribution System for Power Losses Reduces Astrid, Erita; Solihin, Muhammad Dani; Siregar, Rosma; Waluyo, Bakti Dwi
Jurnal Teknik Elektro Indonesia Vol 4 No 2 (2023): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v4i2.580

Abstract

The use of capacitors in electrical systems is widely known for their function to improve power factor and voltage profile while minimizing power losses. It results from the reactive power correction provided by capacitors within the system. It is believed that proper placement and size of capacitors can enhance the electricity quality in power systems. Therefore, numerous methods have been developed regarding the allocation and sizing of capacitors. In this research, a meta-heuristic method, Particle Swarm Optimization (PSO) is applied to find the optimal allocation and sizing of capacitors in order to reduce losses. The method has also been improved by modifying the value of inertia weight to optimize the algorithm's performance in finding the solution. The method is tested on an IEEE 34 bus radial distribution system to observe its performance and effectiveness in identifying the solution. The power loss in the distribution system plays the most important role in the economic operation of the power system. It will be used as a fitness function for each particle in the algorithm. The obtained test results include the size of the capacitor and the optimal placement of the capacitor installation.