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All Journal Jurnal Media Infotama Jurnal Teknik Informatika UNIKA Santo Thomas JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL SURYA ENERGY JUKI : Jurnal Komputer dan Informatika Journal of Innovation Information Technology and Application (JINITA) MEANS (Media Informasi Analisa dan Sistem) Jurnal Komputer, Informasi dan Teknologi Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Digital Transformation Technology (Digitech) Jurnal Komputer Indonesia Informasi interaktif : jurnal informatika dan teknologi informasi
Fredricka, Jhoanne
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Public Health Social Sciences Other

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Aplikasi Peramalan Jumlah Pendaftaran Siswa Di SMA IT IQRA’ Kota Bengkulu Menggunakan Metode Weight Moving Average (WMA) kartika, Indah; Sapri, Sapri; Fredricka, Jhoanne
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4317

Abstract

Abstract- Acceptance of new students is a routine activity every academic year that is carried out at school. IT IQRA' High School in Bengkulu City is one of the private schools in Bengkulu City which accepts new students every Academic Year. Based on data obtained from the 2018/2019 Academic Year to the 2022/2023 Academic Year (data attached), it shows that the level of the number of students sometimes decreases and also increases. This fluctuating pattern of student numbers is a problem faced by the school. IT IQRA Senior Middle School' Bengkulu City in determining the strategic steps and policies of the school in dealing with the Acceptance of New Students each Academic Year. The application for forecasting the number of enrollment students at IT IQRA' High School Bengkulu City was built using the Visual Basic .Net programming language and SQL Server 2008r2 Database. the forecasting application for the number of student enrollments at IT IQRA' High School in Bengkulu City is an application that can help schools find out how many new student enrollments will be in the coming school year based on the results of an analysis conducted from previous trend data using the Weight Moving Average Method. From the sample data used in the 2018/2019 Academic Year to 2022/2023, the forecast results obtained for the number of new student enrollments in the 2023/2024 Academic Year were 249 new students.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SMK NEGERI 03 KOTA BENGKULU Cahyani, Lindry Dwi; Yulianti, Liza; Fredricka, Jhoanne
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5330

Abstract

In a school, the ranking of outstanding students is usually only chosen based on their final grades, and this is also the case at SMK 03 Bengkulu City. The selection of outstanding students at SMK 03 Bengkulu City is only based on report card scores which are ranked 1 to 5. In the selection process, there are many opportunities for making wrong decisions because the student selection process is only based on one aspect, namely the student's final grade, while the attitude and achievement scores obtained outside of school are not taken into consideration as additional criteria for determining students who are considered to be successful and get scholarship. This means that it is very likely that the selected outstanding students do not reach the desired standards which does not get the best candidates. The purpose of this research is as an alternative way for schools to determine outstanding students so that it is not only based on academic scores, and there is no cheating in selecting outstanding students. The method used in this research is Simple Additive Weighting (SAW) method. The results of this research show that SAW method can provide the best results from the criteria and weights that have been determined. From the results of calculations using the SAW method, a student named Ceci Dinda Trangilang obtained a preference value of 0.96
SISTEM PAKAR MENDIAGNOSIS PENYAKIT RHINOSINUSITIS DENGAN MENGGUNAKAN METODE NAÏVE BAYES Khalaf, Muhammad Hafist; Sari, Herlina Latipa; Fredricka, Jhoanne
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5344

Abstract

Rafflesia Hospital Is One Of The Private Public Hospitals In Bengkulu City, And Is Supported By Specialist Doctors And Other Supporting Medical Facilities. One Of Them Is The Rhinosinusitis Service. Rhinosinusitis Is Inflammation Of The Mucosa Or Mucous Membrane Of The Nose And Sinuses. Rhinosinusitis Is Caused By All Conditions That Result In Obstruction Of The Flow Of Mucus From The Sinuses To The Nasal Cavity. Due To The Large Number Of Patients With Rhinosinusitis And Not Being Comparable To The Available Medical Personnel, There Is Limited Time For Patients To Consult And Receive Services At Rafflesia Hospital. The Expert System For Diagnosing Rhinosinusitis Using The Naïve Bayes Method Can Be Accessed Online With Internet Access Via The Web Link Http://Rhinosinusitis.Yms.My.Id/.This Expert System Application Was Created Using The PHP Programming Language And Mysql Database. In The Application, The Naive Bayes Method Has Been Applied Which Is Used To Trace Rhinosinusitis Based On The Symptoms Experienced By The Patient. The System Successfully Displays The Expert System Application Page And Can Assist In Diagnosing Rhinosinusitis, By Providing Consultation Directions Starting From Entering Symptoms To Obtaining Consultation Results And Solutions Provided To Treat The Disease. Based On The Results Of The Tests That Have Been Carried Out, It Can Be Concluded That The Expert System Application For Diagnosing Rhinosinusitis Using The Naive Bayes Method Is Running Well, As Shown By The Expert System Application For Diagnosing Rhinosinusitis Using The Naive Bayes Method That Can Be Easily Used By Users.
Penerapan Metode Composite Performance Index (CPI) Dalam Sistem Pendukung Keputusan Pemilihan Kepala Desa Terbaik Kabupaten Bengkulu Utara Andre pranata, Andre Pranat; Supardi, Reno; Fredricka, Jhoanne
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6091

Abstract

North Bengkulu Regency has a list of village heads who serve as village heads. Based on the current list of village heads in North Bengkulu Regency, the best village head will be selected. The problem faced in this research is that in selecting the best village head we only look at the abilities of the village head, even though there are several criteria that can be considered by the district in selecting the best village head. The criteria used in this research are Integrity (C1), Commitment to advancing the village (C2), Ability to manage village resources (C3), Work attitude (C4). To overcome the problems encountered, a decision support system is needed. The method used in this research is the Composite Performance Index (CPI) method, this method uses 54 criteria, namely: Integrity, Commitment to advancing the village, Ability to manage village resources, Work attitude. From the results of the research, the decision results were obtained with the best alternative, namely A5 in the name of Sugeng R with a value of 218.3333333
Application Of Composite Performance Index (Cpi) Method In Decision Support System Election Of Best Village Head In North Bengkulu District Andre pranata, Andre Pranat; Supardi, Reno; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 3 No 2 (2024): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i2.5786

Abstract

The selection of the best village head is one of the programs of North Bengkulu Regency with the aim of improving the performance of each elected village head. A decision support system is an alternative system that aims to help make decisions through the use of data and decision models to solve semi-structured and unstructured problems. The aim of this research is to build a decision support system by applying the composite performance index (CPI) method as a decision making method that is able to assist the district in assessing the best village head according to predetermined criteria. This research produces a system that can help provide recommendations for the best village heads based on calculations of criteria set by the selectors.
Implementasi Metode Certanty Factor Untuk Diagnosa Penyakit Tanaman Tebu Hijau Pada PT. Perkebunan Nusantara VII Kubroh, Darojatul; Elfianty, Lena; Fredricka, Jhoanne
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6566

Abstract

This research aims to create an expert system application in diagnose green sugarcane plant diseases using the certainty factor method. Green sugar cane is one of the plantation crop commodities in Indonesia. However, cultivating green sugar cane does not escape various problems related to diseases that are likely to attack green sugar cane plants. If green sugar cane plants are attacked by disease, the yield and quality of green sugar cane will decrease which will then cause significant losses for green sugar cane farmers and green sugar plantation owners. If it is not immediately addressed, it will spread widely and worsen over time. The MySQL database can accommodate information and data from patients who consult with an expert system which can make it easy for patients to consult about green sugarcane plant diseases. The resulting expert system can make it easy for users to diagnose green sugarcane plant diseases online.
Implementasi Metode Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Untuk Seleksi Calon Petugas Sensus Di Badan Pusat Statistik Seluma Aribowo, Deko; Yupianti, Yupianti; Fredricka, Jhoanne
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6853

Abstract

Central Bureau of Statistics is an institution tasked with providing quality statistical data through statistical activities that are integrated and have national and international standards. The purpose of this research is to produce a decision support system application for selecting prospective census officers at Central Bureau of Statistics of Seluma using Simple Additive Weighting (SAW) method. SAW is one of the methods used to solve problems. A decision Support System for the selection of prospective census officers at Central Bureau of Statistics of Seluma was created using PHP Programming Language and MySQL Database. This application can accommodate data on prospective census officers who will be assessed. This application can be used to facilitate the selection of prospective census officers at Central Bureau of Statistics of Seluma by applying SAW method which can rank the assessment results.
The Implementation Of Certainty Factor Method For Diagnosing Diseases In Children Al-Mubdi, Muhammaad Abid; Siswanto, Siswanto; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 4 No 1 (2025): Januari
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i1.7536

Abstract

An expert system is a system in the form of a computer application that seeks to adopt human knowledge in the form of a program with the intention of solving certain problems. Knowledge about something from expert is adopted into an expert system so that the system can diagnose and analyze a problem. Lack of knowledge about childhood diseases such as ARI, diarrhea and Pneumonia, can be fatal to health, therefore to help the community and medical personnel in providing knowledge, consultation and socialization about these diseases is to design and build expert system applications by applying the Certainty Factor method. Expert systems using the Certainty Factor method have the advantage of being able to measure something whether it is certain or uncertain, for example in diagnosing a disease. However, this system also has the disadvantage of only being able to process uncertainty or certainty of only 2 data. The final result of this research is an expert system to diagnose childhood diseases (ARI, Diarrhea, Pneumonia) along with the confidence value of the diagnosed disease, which shows the level of system confidence in the disease.
PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DALAM MEREKOMENDASIKAN GURU UNTUK MENGIKUTI UJI SERTIFIKASI Nengsi, Ririn Agustia; Suranti, Dewi; Fredricka, Jhoanne
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2192

Abstract

Sertifikasi guru adalah proses peningkatan mutu dan uji kompetensi tenaga pendidik dalam mekanisme teknis yang telah diatur oleh pemerintah. SMKN 01 Bengkulu Selatan belum menggunakan sistem yang terkomputerisasi dalam merekomendasikan guru untuk mengikuti uji sertifikasi. Hal ini dimaksudkan untuk proses transparansi dalam penilaian kinerja guru disekolah. Tujuan penelitian ini adalah/memudahkan pihak sekolah dalam memverifikasi dan merekomendasikan data guru yang akan mengikuti uji sertifikasi dari Diknas. Sistem Pendukung Keputusan menggunakan metode Simple Additive Weighting (SAW) di SMKN 01 Bengkulu Selatan ini dibuat menggunakan Bahasa Pemrograman PHP dan Database MySQL. Aplikasi ini dapat menampung data guru yang akan direkomendasikan untuk mengikuti uji sertifikasi di SMKN 01 Bengkulu Selatan. Metode Simple Additive Weighting (SAW) dapat digunakan dalam menentukan guru yang layak direkomendasikan untuk mengikuti uji sertifkasi di SMKN 01 Bengkulu Selatan. Berdasarkan pengujian yang telah dilakukan maka tidak terdapat error pada sistem dan hasil rata – rata jawaban responden yang mencapai 53% menjawab sangat setuju, 26% menjawab setuju, 14% menjawab kurang setuju dan hanya 14% responden yang menjawab tidak setuju. Maka dengan hasil pengolahan data tersebut dapat disimpulkan bahwasanya sistem ini sudah layak untuk digunakan.
IMPLEMENTASI METODE SIMPLE MULTY ATRIBUTE RATING TECHNIQUE (SMART) PADA PEMILIHAN CALON ANGGOTA KOMISI PENYIARAN INDONESIA DAERAH (KPID) PROVINSI BENGKULU Sukmawati, Sukmawati; Elfianty, Lena; Fredricka, Jhoanne
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2188

Abstract

Dalam pemilihan calon anggota Komisi Penyiaran Indonesia Daerah (KPID), metode yang dapat dilakukan yaitu dengan melakukan pengolahan data calon anggota KIPD menggunakan metode Simple Atribute Rating Technique (SMART) yang didasarkan pada proses pemilihan calon Peserta KPID yang dilakukan oleh Panitia. Dengan menggunakan metode SMART pihak Panitia dalam hal ini adalah KPID Provinsi Bengkulu dapat menentukan calon anggota KPID yang terpilih dari hasil perangkingan yang didapatkan dari sistem.Adapun tahapan metode SMART yang digunakan yaitu menentukan kriteria yang akan digunakan, menentukan bobot dari kriteria dengan melalukan normalisasi dari bobot setiap kriteria, menentukan konsfigurasi dari kriteria berikut dengan bobotnya, menentukan nilai dari masing-masing calon peserta dengan menentukan nilai parameternya kemudian dicari nilai bobotnya, selanjutnya menentukan nilai utility dari masing-masing calon peserta dan perhitungan terakhir adalah menentukan nilai akhir yang didaat dari nilai utility masing-masing calon perserta dikalikan dengan nilai bobot masing-masing kriteria. Setelah mendapatkan nilai akhir maka dilakukan perangkingan.
Co-Authors Adiansyah, Febri Afrizal, Nanda Al-Mubdi, Muhammaad Abid Alinse, Rizka Tri Andi Hartono, Andi Andre pranata, Andre Pranat Aribowo, Deko Asher, Chindy Cahyani, Lindry Dwi Doheir, Mohamed Fansyuri Nasution, Hamzah Herlina Latipa Sari IHSAN, MUHAMMAD FIKRI indah kartika Indra Kanedi Julianda, Figora Jumadi , Juju Juniansyah, Dedy Jusuf Wahyudi Khairil Khairil Khalaf, Muhammad Hafist Kubroh, Darojatul Kurniawan, Muhammad Andhika Lena Elfianty Leni Natalia Zulita Lesmana, Ferdi Lestari, Virly Dwi Liza Yulianti Liza Yulianti Mahdalena, Desi Mardiana, Yessi Maryaningsih, Maryaningsih Nengsi, Ririn Agustia Nizar, Fahrul Ikhram Novita Sari, Venny Oktara, Panggi Pertan Sagala, Deddy Pradila, Lara Prahasti Qurniati, Nofi Rahayu, Reska Putri Rahayu Rahmat S, Khaerullah Ramadhan, Surya Risianti, Devi Rohmayani, Dini Rozzi, Yoli Andi S Siswanto sapri sapri Saputra, I Putu Yogi Saputra, Ryu River Sari, Widia Sugianto, Castaka Agus Sukmawati Sukmawati Supardi, Reno Suranti, Dewi Tahari, Arzan Toibah Umi Kalsum Wandi, Dehar Wardoyo, Kristiyo Indriadi Wiradiansya, Edoar Yasa, Pri Yogha Yupianti, Yupianti