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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 MEANS (Media Informasi Analisa dan Sistem) Djtechno: Jurnal Teknologi Informasi INCODING: Journal of Informatics and Computer Science Engineering 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 Jurnal Inovasi Kerja Nyata (JIKN)
Fredricka, Jhoanne
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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.
DECISION SUPPORT SYSTEM FOR SELECTING HEALTHY TODDLERS USING THE SIMPLE ADDITIVE WEIGHTING METHOD AT UPTD PUSKESMAS IPUH Pradila, Lara; 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.v7i4.2185

Abstract

Pemilihan Balita Sehat di UPTD Puskesmas Ipuh dapat di katakan masih kurang efektif dan efisien. Karena proses pemilihan Balita Sehat masih mengunakan blangko sebagai media penilaian Balita Sehat. Tujuan penelitian ini yaitu menghasilkan aplikasi sistem pendukung keputusan pemilihan balita sehat pada UPTD Puskesmas Ipuh. Penelitian yang dilakukan membuat sebuah sistem yang dapat memberikan pertimbangan dalam melakukan pengambilan keputusan pemilihan untuk pemilihan Balita Sehat di UPTD Puskesmas Ipuh dengan menggunakan metode Simple Additive Weighting (SAW) sebagai basis dalam pengolahan data untuk perengkingan. Metode yang digunakan dalam penelitian ini adalah metode waterfall. Sistem pendukung keputusan ini dirancang menggunakan Bahasa Pemrograman PHP dan Databse MySQL. Berdasarkan pengujian yang dilakukan, dengan sample data yang digunakan maka didapatkan hasil bahwa aplikasi ini dapat digunakan untuk mempermudah dalam melakukan penilaian balita sehat. 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 dari hasil pengolahan data tersebut dapat disimpulkan bahwasanya sistem ini sudah layak untuk digunakan. Karena lebih dari setengah responden menyetujui sistem ini untuk layak digunakan
Klasterisasi Data Kendaraan Bermotor Berdasarkan Tunggakan Pajak Pada Kantor Samsat Kabupaten Bengkulu Selatan Menggunakan Metode K-Means Clustering Wiradiansya, Edoar; Elfianty, Lena; Fredricka, Jhoanne
JUKI : Jurnal Komputer dan Informatika Vol. 6 No. 2 (2024): JUKI : Jurnal Komputer dan Informatika, Edisi Nopember 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kantor Samsat  Kabupaten Bengkulu Selatan merupakan instansi pemerintah yang memberikan pelayanan ke masyarakat salah satunya yaitu pembayaran pajak kendaraan bermotor. Selama ini untuk pengelolaan data pembayaran pajak kendaraan bermotor di kantor tersebut sudah menggunakan aplikasi, dimana semua kendaraan bermotor akan terdata baik yang sudah membayar pajak maupun yang mengalami tunggakan pajak kendaraan bermotor. Namun data-data tersebut hanya sebatas pengarsipan dan tidak diolah lebih lanjut untuk mendapatkan informasi yang bermanfaat, seperti mengidentifikasi kendaraan bermotor berdasarkan hasil pengelompokan data tunggakan pajak kendaraan bermotor. Klasterisasi data kendaraan bermotor berdasarkan tunggakan pajak pada Kantor Samsat menggunakan Metode K-Means Clustering dapat memberikan informasi hasil pengelompokan data kendaraan berdasarkan tunggakan pajak yang masuk ke dalam cluster tinggi dan cluster rendah sebagai bahan evaluasi di Kantor Samsat Kabupaten Bengkulu Selatan, serta dapat mempermudah pihak Kantor Samsat Kabupaten Bengkulu Selatan dalam mengidentifikasi kendaraan bermotor berdasarkan hasil pengelompokan data tunggakan pajak. Berdasarkan pengujian yang telah dilakukan pada data tunggakan pajak kendaraan bermotor, diperoleh hasil pengelompokan melalui Metode K-Means yakni wilayah pada Kabupaten Bengkulu Selatan yang memiliki tingkat tunggakan pajak tertinggi (Cluster C1) yaitu Kelurahan/Desa Padang Kapuk, Air Sulau, Padang Sialang, dan Pagar Gading, sedangkan wilayah (Cluster C2) yang memiliki tingkat tunggakan pajak terendah yaitu Kelurahan/Desa Air Sulau, Padang Burnai, Padang Nibung, Tanjung Aur, dan Pasar Pino.
Co-Authors Adiansyah, Febri Afrizal, Nanda Al-Mubdi, Muhammaad Abid Alinse, Rizka Tri Andari, Reksi Andi Hartono, Andi Andika, Ryndry Andre pranata, Andre Pranat Aribowo, Deko Asher, Chindy Cahyani, Lindry Dwi Fansyuri Nasution, Hamzah Febriansyah, Angga Trio Feisal, Royki 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, Dwiki Kurniawan, Muhammad Andhika Lena Elfianty Leni Natalia Zulita Lesmana, Ferdi Lestari, Virly Dwi Liza Yulianti Liza Yulianti Mahdalena, Desi Mahendra, Aziz Ali Mardiana, Yessi Maryaningsih, Maryaningsih Nengsi, Ririn Agustia Nizar, Fahrul Ikhram Novita Sari, Venny Oktara, Panggi Pertan Sagala, Deddy Pradila, Lara Prahasti Putra, Redo Osi Qurniati, Nofi Rahayu, Reska Putri Rahayu Rahmat S, Khaerullah Ramadhan, Surya Risianti, Devi Rozzi, Yoli Andi S Siswanto sapri sapri Saputra, I Putu Yogi Saputra, Ryu River Sari, Widia Sartika, Devi Siswanto, H Sukmawati Sukmawati Supardi, Reno Suranti, Dewi Tahari, Arzan Toibah Umi Kalsum Wandi, Dehar Wardoyo, Kristiyo Indriadi Wiradiansya, Edoar Yasa, Pri Yogha Yupianti, Yupianti Zahesya, Favien Riza Zuhri, M