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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUMATIC: Jurnal Pendidikan Informatika Jutsi: Jurnal Teknologi dan Sistem Informasi Journal of Social Responsibility Projects by Higher Education Forum International Journal of Basic and Applied Science J-Com (Journal of Computer) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi)

Dewi Maharani

Sekolah Tinggi Manajemen Informatika Dan Komputer Royal

Author-ID : 3354020

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences

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Combination of MOORA and WASPAS Methods in Selecting the Best Hafidzoh Dewi Maharani
International Journal of Basic and Applied Science Vol. 10 No. 2 (2021): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i2.53

The combination of the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) and the Weight Aggregated Sum Product Assessment (WASPAS) is used by researchers in selecting the best hafidzoh so as to produce effective and efficient research objectives and make it easier for leaders to determine the best hafidzoh. Choosing the best hafidzoh is not an easy matter due to the large number of students and the large number of criteria given. Furthermore, the best students or candidates for hafidzoh are called alternatives, while the things that are assessed are called criteria. Based on the results of interviews and references that the researchers conducted, the criteria for helping the Chairperson of the Dzunnur'ain Simalungun Institute in determining the best hafidzoh were letter makhorijul, tajwid, itqon hifzd, adabul qiroah and Arabic. Meanwhile, the best alternative or candidate for hafidzoh is the total number of students in Lambaga Dzunnur 'ain, which is 30 students. Furthermore, researchers conducted analysis and calculations based on the formula of the MOORA method and the formula of the WASPAS method. The results of the analysis and calculations are that the Moora and WASPAS methods get the same best santri, namely the alternative name Santri 7, while for the second rank the alternatives obtained are santri 16 and santri 25.

Expert System Mengatasi Anxiety Disorder Pada Mahasiswa Dalam Menghadapi Tugas Akhir Metode Backward Chaining Indah Risfia; Dewi Maharani; Muthia Dewi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.4001

Anxiety Disorder is a psychological disorder that can be experienced characterized by the emergence of various symptoms which cause the sufferer to experience anxiety that is so great and excessive that it is very possible to affect the sufferer psychologically or physically. The obstacles that are most often experienced by final year students in completing their final assignments are the emergence of excessive feelings of anxiety, feeling restless, easily tired, difficult to concentrate, empty thoughts. irritability, muscle tension, difficulty sleeping, cold fingers, faster heart rate, cold sweats, headache, decreased appetite, sleeplessness and chest tightness which is often referred to as Anxiety Disorder. The relevance of computerization and technology in expert systems in diagnosing anxiety disorders in final year students is needed to help students find solutions to their problems. Therefore we need a method that can assist the analysis of the expert system design that will be made in this study, namely the Backward chaining method. Backward Chaining is an inference method that works backwards towards the initial conditions. The process starts from the Goal (which is in the THEN section and the IF-THEN rule), then the search starts to run to match whether the facts match the premises in the IF section. This technological advancement can help transfer human understanding into a system form so that it can be used by many people and is not limited by time without replacing the role of humans.

Penerapan dan Pandangan Keagamaan Terhadap Undang-Undang ITE di Indonesia Indra Ramadona Harahap; Dewi Maharani
Journal of Social Responsibility Projects by Higher Education Forum Vol 1 No 1 (2020): Juli 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.31 KB)

Community service activities with the theme "Application and Views of Relevance to the ITE Law in Indonesia" aims to provide knowledge to students of SMA Negeri 4 The range of the importance of discussing the specific ITE Law for children and also looking at it from the religious side. The method used in this activity was a direct survey to the location of the school and also interviewed the Principal of SMA Negeri 4 Kisaran. ITE is information and electronic transactions in which a rule is made by the state with the help of information technology regarding the importance of trade and economic growth to realize the welfare of the community and the government needs to support the development of information technology through legal infrastructure and its regulation to help information technology be carried out secaa safely to avoid considering it with pay attention to the religious, social, cultural values of Indonesian people

APLIKASI PENENTUAN KUALITAS KELAPA DENGAN METODE WEIGHETED PRODUCT (WP) Sulasih Wijayanti; Fitri Yunita; Dewi Maharani
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 5, No 2 (2019): Juni 2019
Publisher : STMIK Royal

Abstract: Plantation is one of the backbone of the government of Riau Indragiri Hilir (Inhil) Regency. One of them is coconut, with this huge coconut potential, Indragiri Hilir makes plantations in superior products. With the potential of coconuts that really need knowledge and information on the quality of coconuts to be sold, the purpose of this study is to develop coconut quality selection applications using the Weighted Method Product (WP), which can solve problems for users is prospective coconut sellers to get information. Therefore to find out the price and quality of coconuts using the weighted product method is a method that is supported by using multiplication for attribute value attributes, where the value must be raised first using the required attributes. Using the Weighted Product (WP) method according to the replacement request , then implemented into a system that determines rather than at each price determination and weight The source of system knowledge is obtained by collecting data and information. With this application, it helps the community to determine the quality of coconuts for coconut buyers and farmers. Keywords: selection of coconut quality, Weighted Products (WP) Abstrak: Perkebunan merupakan salah satu tulang punggung perekonomian Kabupaten Indragiri Hilir (Inhil) Riau. Salah satu nya adalah kelapa, dengan potensi kelapa yang begitu besar ini, Indragiri Hilir menjadikan perkebunan kelapa dalam sebagai produk unggulan, Dengan potensi kelapa yang begitu besar terkadang kurangnya pengetahuan dan informasi akan kualitas kelapa yang akan dijual, tujuan penelitian ini untuk membangun sebuah aplikasi pemilihan kualitas kelapa menggunakan Metode Weighted Product (WP), yang dapat menyelesaikan permasalahan bagi pengguna yaitu calon penjual kelapa untuk mendapatkan informasi. Maka dari itu untuk mengetahui harga dan kualitas kelapa dengan menggunakan metode weighted product merupakan metode penyelesaian dengan menggunakan perkalian untuk menghubungkan nilai atribut, dimana nilai harus dipangkatkan terlebih dahulu dengan bobot atribut yang bersangkutan.Dengan menggunakan metode Weighted Product (WP) pada pendukung keputusan, kemudian diimplementasikan kedalam sebuah sistem yang menentukan tingkat kepentingan pada setiap kriteria yaitu harga dan bobot Sumber pengetahuan sistem di peroleh dengan mengumpulkan data-data dan informasi.Dengan adanya aplikasi ini mampu membantu masyarakat untuk menentukan kualitas kelapa kepada para pembeli kelapa dan petani. Kata kunci : pemilihan kualitas kelapa,Weighted Product (WP)

PERBANDINGAN METODE MFEP DAN MAUT DALAM SELEKSI CALON PESERTA OLIMPIADE SAINS NASIONAL (OSN) Dewi Maharani; Andri Nata
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 6, No 3 (2020): August 2020
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v6i3.793

OSN (Olimpiade Sains Nasional) merupakan kegiatan perlombaan di bidang sains dan ilmu pengetahuan yang dirancang pemerintah untuk mengembangkan bakat dan prestasi siswa. OSN juga menjadi salah satu ajang tahunan yang sangat diminati siswa dalam mengasah kemampuan dibidang sains dan ilmu pengetahuan. Untuk dapat menjadi peserta dan mendapatkan juara dalam dalam kompetisi ini bukanlah hal yang mudah. Perlu adanya pembimingan yang intensif kepada siswa yang memiliki potensi. Dalam memilih siswa yang akan dibimbing dan dikutsertakan dalam OSN, seleksi internal yang ketat perlu dilakukan sekolah untuk dapat mengantarkan siswa meraih prestasi tersebut. Selama ini seleksi yang dilakukan guru cenderung subyektif seperti dengan menujuk langsung peserta yang akan mengikuti tes seleksi. Seperti halnya dilokasi penelitian SMPS Tamansiswa Sukadamai, selama ini guru menyeleksi peserta OSN hanya fokus dengan yang mendapatkan ranking 1-3 di kelas saja. Padahal bisa saja ada siswa yang tidak rangking 1-3 justru memiliki keahlian pada bidang yang diolimpiadekan. Hasilnya, belum ada siswa yang mampu bersaing di tingkat kecamatan. Adapun tujuan penelitian ini adalah untuk membantu sekolah menyeleksi seluruh siswa yang berminat dalam olimpiade dengan menggunakan teknologi Sistem Pendukung Keputusan. Melalui perbandingan 2 metode yaitu Multy Factor Evaluation Process (MFEP) dan Multi Attribute Utility Theory (MAUT), peneliti akan melakukan analisis perbandingnan untuk mendapatkan hasil yang lebih konsisten. Metode MFEP merupakan metode yang menimbang beberapa faktor yang berpengaruh terdahap alternatif. Sedangkan metode MAUT merupakan metode yang memiliki skema evaluasi akhir dengan bobot dan nilai relavan terhadap alternatif. Berdasarkan hasil yang telah dilakukan, metode MFEP dapat menghasilkan calon peserta terbaik yaitu A13 dengan nilai16,96. Sedangkan metode MAUT dapat menghasilkan calon peserta OSN terbaik yaitu A5 dengan nilai 0,680. Penelitian ini diharapatkan dapat membantu untuk seleksi calon peserta OSN.

Penerapan Metode K-Means Clustering Dalam Menentukan Predikat Kelulusan Mahasiswa Untuk Menganalisa Kualitas Lulusan Venny Novita Sari; Yupianti Yupianti; Dewi Maharani
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 4, No 2 (2018): Juni 2018
Publisher : STMIK Royal

Abstract: The increasing number of students who graduated each year causes a lot of student data that need to be processed, causing difficulties in grouping the data. In this research apply Data Mining by using Clustering method to classify the quality of graduate students of Faculty of Computer Science Dehasen University of Bengkulu based on GPA and Study Program. The algorithm used is K-Means Clustering, where the data are grouped based on the same characteristics will be entered into the same group and the data set entered into the group does not overlap. Information displayed in the form of group ?? a group of graduate students who dominate the Study Program, so it is known to the group that has the best graduate quality. The results of this study will assist the University in analyzing the quality of graduated students and the most potential study programs. Software used to help this grouping is Rapid Miner. Keywords: K-Means Clustering, Study Program, Graduate Quality, Rapid Miner Abstrak: Semakin meningkatnya jumlah mahasiswa yang diluluskan setiap tahunnya menyebabkan banyaknya data mahasiswa yang perlu diolah sehingga menyebabkan kesulitan dalam pengelompokan data tersebut. Pada penelitian ini menerapkan Data Mining dengan menggunakan metode Clustering untuk mengelompokkan kualitas lulusan mahasiswa Fakultas Ilmu Komputer Universitas Dehasen Bengkulu berdasarkan IPK dan Program Studi. Algoritma yang digunakan yaitu K-Means Clustering, dimana data dikelompokkan berdasarkan karakteristik yang sama akan dimasukkan ke dalam kelompok yang sama dan set data yang dimasukkan ke dalam kelompok tidak tumpang tindih. Informasi yang ditampilkan berupa kelompok – kelompok lulusan mahasiswa yang mendominasi Program Studi, sehingga diketahui kelompok yang memiliki kualitas lulusan terbaik. Hasil penelitian ini akan membantu pihak Universitas dalam menganalisa kualitas mahasiswa yang diluluskan dan program studi yang paling berpotensi diminati. Software yang digunakan untuk membantu pengelompokan ini adalah Rapid Miner. Keyword: K-Means Clustering, Program Studi, Kualitas Lulusan, Rapid Miner

PENENTUAN KUALITAS KARET BERDASARKAN DIVISI MENGGUNAKAN METODE MOORA Nurwati Nurwati; William Ramdhan; Dewi Maharani
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 5, No 1 (2022): February 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v5i1.810

The System in an element that interacts with each other to achieve a goal, gathered together to process or to complete certain goals. At PT. BspGurach Batu Estate Tbk. Determination of the best rubber quality by division is a process in the progress of its business field so that customers are satisfied with the quality of the processed rubber. The methodology used is the quantitative method where this method contains the calculation of the processed data. The MOORA method is a method that is applied to solve problems with complex mathematical calculations introduced by Brauers and Zavadskas in 2006 with the DSS, which is to support decision makers in choosing alternative decisions which are the result of alternative data processing based on the criteria used and obtain results where Alternative 3 (A3) as the highest alternative for quality rubber. With a decision support system made using the Multi-Objective Optimization by Ratio Analysis (MOORA) method, it can assist in the decision-making process for determining rubber quality based on the division that has rubber quality.

Penyuluhan Manfaat Menggunakan Internet dan Website Pada Masa Pandemi Covid-19 Dewi Maharani; Fauriatun Helmiah; Nurul Rahmadani
Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Vol. 1 No. 1 (2021): Mei 2021 - Abdiformatika: Jurnal Pengabdian Masyarakat Informatika
Publisher : Indonesian Scientific Journal

Kegiatan pengabdian kepada masyarakat dengan Judul “Penyuluhan Manfaat Menggunakan Internet dan Website pada Masa Pandemi Covid-19” bertujuan untuk memberikan pengetahuan kepada seluruh peserta LEPPAS tentang bagaimana manfaat menggunakan internet dan website untuk meningkatkan pendapatan dan meningkatkan wawasan mengenai internet dan website pada masa pandemic di Indonesia seperti saat ini. Metode pelaksanaa yang digunakan dalam kegiatan ini adalah penyampaian materi dan sesi Tanya jawab. Internet dan website telah menjadi kebutuhan yang sangat penting bagi perorangan, organisasi, perusahaan, dan instansi pemerintah. Karena besarnya kebutuhan dunia akan internet dan website, serta pengaruh yang diberikan bagi seluruh kalangan, maka memahami manfaat internet dan website sangatlah penting.

Simple Additive Weighting sebagai Metode Pendukung Keputusan terhadap Sistem Customer Satisfaction Ayu Rahmadani; Dewi Maharani; Sahren Sahren
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6374

Nazwa drugstore is one of the stores that still use manual methods to recognize complaints about service for customers who come to the store, so it is felt to be less effective. Therefore, it is necessary to have a system to measure customer satisfaction in the store quickly and accurately. To build this system, we apply the Simple Additive Weighting (SAW) method to determine user satisfaction. The model used to build this system is the System Development Life Cycle (SDLC) with stages of analysis, design, implementation, and trial. At the analysis stage, we used interview and observation methods to collect data. Our design phase consists of a use case, a system interface, and a diagram class. Testing this system uses a black box to see if all the components of the system are working properly. Our findings are to produce a decision support system for customer satisfaction using the SAW method. In addition, this system also has a user-friendly and responsible interface, so this system is easy to use. The results of the black box test show that all components in this system are already functioning properly.

Penerapan Teorema Bayes pada Sistem Pakar Pendeteksi Penyakit Domba Ibman Andika; Dewi Maharani; Mardalius Mardalius
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6332

Sheep are one of the livestock that can provide benefits such as meat, milk, and skin which are used as a source of income for the community, especially in the Asahan regency area. However, still, the farmer's knowledge in terms of care and knowledge of sheep diseases can result in the sheep being able to die. The purpose of this study was to create an expert system to diagnose sheep disease using the theory of Bayes. The waterfall is used as a model in this study with stages, analysis, design, implementation, and testing. analysis was carried out to find the required data using observations and interviews. The design of this system consists of Unified Modeling Language (use case ), diagram classes, flowcharts, and interfaces. Testing the system uses a black box which aims to find out the functionality of the system that has been implemented, and data analysis using the theory of Bayes. Our findings resulted in bayes having an expert system for the diagnosis of diseases in sheep. The results of Bayes analysis with the theory of Bayes showed that the disease experienced in sheep is deworming with a probability level of 60.71%. The results of the black box test show that the functionality of this system is already running well

Co-Authors Andri Nata Ayu Rahmadani Endra Saputra Fitri Yunita Harahap, Indra Ramadona Helmiah, Fauriatun Ibman Andika Indah Purnama Sari Indah Risfia Khairiah Khairiah Mardalius Mardalius Masitah Handayani Muthia Dewi Nofriadi Nofriadi Nurul Rahmadani Nurwati Nurwati Rahayu, Elly Riki Andri Yusda Rolly Yesputra Sahren Sulasih Wijayanti Venny Novitasari William Ramdhan Yupianti Yupianti

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