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Journal : Journal Of Informatics And Busisnes

Rancang Bangun Aplikasi Ujian Berbasis Komputer Tingkat Sma Studi Kasus : Madrasah Aliyah Swasta Al-Falah Tambolaka Furqam Sarifudin; Elfira Umar; Felisitas Ema Ose Sanga
Journal Of Informatics And Busisnes Vol. 2 No. 2 (2024): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i2.1607

Abstract

Tes yang dilakukan dengan menggunakan media komputer disebut ujian berbasis komputer. Pendidikan melaksanakan ujian berbasis komputer untuk mengevaluasi kemampuan peserta didik dan mengukur tingkat prestasi belajar mereka. Pada tingkat pendidikan sekolalah menengah atas, masih ada pelaksanaan ujian yang dilakukan secara tradisional. Sistem ini dimaksudkan untuk mengurangi dampak negatif yang terjadi pada sistem ujian konvesionnal. Langkah-langkah tersebut termasuk mengacak soal untuk setiap siswa guna mengurangi kecurangan dan kolusi antar siswa, serta memungkinkan guru untuk menghindari perhitungan nilai secara manual karena sudah dijalankan oleh sistem. Simpanan ujian disimpan dalam pangkalan data. Observasi langsung dilakukan dalam penelitian ini untuk menganalisis kebutuhan sistem. UML (Unified Modeling Language) dan Flowchart digunakan dalam perancangan sistem ini. Analisis sistem dilakukan menggunakan HTML, CSS, Javascript, Mysql dan PHP, sebagai Database. Pertanyaan dalam platform ini tersaji dalam format esai dan soal pilihan berganda. Pelaksanaan sistem ujian berbasis komputer ini melibatkan fitur bagi admin untuk memperbarui data ujian, materi, ruang kelas, pengajar, dan siswa. Fungsi guru termasuk menambahkan ujian, mendaftar ujian, membuat soal ujian, melihat hasil ujian, dan menganalisis ujian. Bagi murid, fitur yang penting adalah data ujian dan menjawab pertanyaan.
Penerapan Text Mining Dalam Klasifikasi Judul Skripsi Mahasiswa Pada Universitas Stella Maris Sumba Menggunakan Metode Naïve Bayes Desti Astari Umbu Zaza; Elfira Umar; Felysitas Ema Ose Sanga
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1670

Abstract

Student thesis titles in the Informatics Engineering Department at Stella Maris Sumba University (UNMARIS) have not been grouped optimally based on the student's field of expertise or focus of study. So, the grouping procedure that is important in guiding students must choose a thesis title that is relevant to their field of study. One grouping method that can be used is text mining, which is a part of data mining that is used to identify interesting patterns from lots of data in the form of text. In this research, thesis topics are grouped based on student interest or focus using the Naive Bayes method. Research found that the Naive Bayes algorithm had a 100% accuracy rate in determining the thesis title category. And the accuracy results show that UNMARIS students are more interested in choosing titles in the Software Engineering and Expert and Decision System categories, which shows 31 interested in RPL and 36 in Expert Decision Systems.
Prediksi Kelulusan Mahasiswa Tepat Waktu Menggunakan Metode Naïve Bayes Dan Decision Tree Pada Universitas Stella Maris Sumba Sari, Julianti Suwartini Inda; Elfira Umar; Lidia Lali Momo
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1677

Abstract

Timely graduation itself is one of the indicators of the success of students' academic performance. The study period regulations are already set in the provisions of the Minister of Education and Culture of Indonesia. To address this issue, there needs to be a technique to predict graduation. One of the techniques commonly used is data mining. In this study, the authors will compare two data mining methods, namely Naive Bayes Classifier and Decision Tree, to obtain the method with the best accuracy in predicting student graduation. The attributes used for Data Mining Classification consist of 10 attributes: Student ID, Gender, Student Status, Age, Semester 1 Grade Point Average, Semester 2 Grade Point Average, Semester 3 Grade Point Average, Semester 4 Grade Point Average, Cumulative Grade Point Average, and Result attribute. From the test results using RapidMiner tools with two methods that have been conducted, the Decision Tree (C4.5) obtained the accuracy result of 70.18%, and the Naïve Bayes method obtained the highest accuracy result of 71.24%.
Sistem Informasi Pengelolaan Surat Masuk Dan Surat Keluar Pada Kantor Sekretariat Daerah Kabupaten Sumba Barat Daya Sofia Dada Gole; Elfira Umar; Alexander Adis
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1678

Abstract

Surat digunakan sebagai sarana komunikasi dan sebagai bukti dari suatu peristiwa yang terjadi. Tantangan yang muncul saat menggunakan surat dalam bentuk fisik adalah pentingnya pengelolaan yang baik agar surat tidak mudah hilang atau rusak. Manajemen surat masuk dan keluar di Kantor Daerah Sumba Barat Daya masih dilakukan secara tradisional dengan menyimpan surat dan informasi dalam bentuk kertas yang ditata dalam tumpukan. Itu bisa menyebabkan kerugian atau kerusakan pada kertas dan mencari surat bisa menjadi proses yang memakan waktu. Diperlukan sistem informasi yang bisa mengurus surat masuk dan surat keluar sebagai solusi atas masalah tersebut. Sistem informasi pengelolaan surat masuk dan surat keluar dibuat di Kantor Daerah Sumba Barat Daya dengan tujuan untuk mengatur data surat agar terstruktur dan mendukung kinerja staff.
Analisis Sentimen Review Hotel Menggunakan Algoritma Naive Bayes Pada Ella Hotel Tambolaka Margaretha Inya Tuku; Elfira Umar; Alexander Adis
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1680

Abstract

Wisatawan ketika sedang berlibur ke suatu kota, tentu akan memesan akomodasi di hotel. Pengunjung sering kesulitan memilih hotel ketika memesan penginapan karena banyaknya pilihan. Tripadvisior adalah sebuah platform pemesanan hotel yang memberikan fitur-fitur lengkap untuk membantu pengunjung dalam memilih hotel yang tepat. Salah satu fitur yang disediakan adalah ulasan yang menunjukkan komentar-komentar dari para pengunjung mengenai hotel tersebut. Tetapi, semakin banyak saran atau tinjauan mengenai suatu hotel akan membuat pengunjung butuh waktu lebih lama untuk memilih hotel yang mereka inginkan. Dengan permasalahan tersebut, diperlukan analisis sentimen yang dapat mengambil beberapa komentar untuk mendapatkan informasi yang berguna bagi pengunjung. The sentiment analysis system that was developed aims to create a sentiment model to evaluate comments and reviews of a hotel. Analisis sentimen diproses dengan menggunakan Naive Bayes Classifier algorithm. Pengujian menunjukkan bahwa pengklasifikasian sentiment dengan menggunakan Naïve Bayes Classifier mencapai tingkat keakuratan sebesar 90.71%.
Sistem Informasi Data Kependudukan DesaWee Rame Berbasis Web David Dairo Bio; Elfira Umar; Agustina Purnami Setiawi
Journal Of Informatics And Busisnes Vol. 1 No. 1 (2023): April - Juni
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.204

Abstract

Always evolves population information system is needed to community service.Population information valid the data recorded in clusters bottom in this is a village.Until now, information systems village wee rame still both manual way in public services of population.Village officials mnginput population data not use application and less effective and efficient in data processing the information.Storage file heaped has created problems and inadequate storage space.Penggunakaan applications in this case is desa-desa population and information system is needed to the saving of time and energy, and increase the quality of public services.Population information system web based this village, designed and constructed using laravel mysql and to the databases.The trial is to ensured a valid of processing
Penerapan Algoritma Naive Bayes Untuk Memprediksi Penyakit Malaria Pada Puskesmas Tana Teke Roswita Tanggu; Elfira Umar; Lidia Lali Momo
Journal Of Informatics And Busisnes Vol. 1 No. 1 (2023): April - Juni
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.205

Abstract

In health care medical records can be used as comparisons and gauges to determine the development of disease in an area.But it's good that the data is being treated as useful data including being able to predict a disease..Malaria cases are infectious and are very dominant in the tropics / subtropics.The puskemas tana teke has the most positive sufferer malaria.The puskemas party doesn't have a system yet to predict malaria., Therefore, to harness information system technology and to prevent malaria earlier, research has been done to predict malaria by means of na ve bayes on tana teke pusemas..The patient's dataset contains 16 attributes and 6 are symptoms of malaria with a total of 118 patients' data.The calculations with na ve bayes show that appropriate symptoms of disease will result in positive predictions..Such predictions can be used for cement conjectures.
Sistem Pakar Deteksi Kerusakan Laptop Dengan Metode Forward Chaining Murjiyanto krisno; Elfira Umar; Agustina Purnami Setiawi
Journal Of Informatics And Busisnes Vol. 1 No. 2 (2023): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.222

Abstract

STIMIKOM Stella Maris Sumba is a high school of informal engineering where many computers or laptops have been damaged, In order to make it easier for laburaturium to check for damage to the computer or to the laptop, research has been picked up on the link between computer malfunctions and the method the author used in this study is forward chaining.An analysis based on research that the obstacles experienced are the technicians having trouble coping with the damage to the laptop, whether it's damage to hardware or the software from research, so that the experts are able to diagnose damage on laptops or computers can make it easier for the laboraturium to do fast diagnostic damage, precise and efficient.The implementation of the design of the diagnostic system on this laptop or computer certainly has a great impact on the campus without any further difficulty diagnosing the damage on the laptop or computer and
Implementasi Data Mining dengan Metode Algoritma Apriori dalam Menentukan Pola Pembelian Obat Pada Apotik Sehat Sejahtera Tambolaka Yoram Jefri Bili; Elfira Umar; Paulus Mikku Ate
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1671

Abstract

Data mining is a process of obtaining useful information from a database warehouse in the form of knowledge. This research analyzes data using data mining and a priori algorithm methods. Data processing system for compliance in determining drug purchasing patterns using rapid miner in the Sumber Sejahtera pharmacy case study. This system was built based on user needs obtained through interview methods and field studies. The test results using the a priori algorithm and the system that was built show that the results have met the needs in determining drug purchasing patterns based on customers' drug purchasing tendencies. Compared with the current system, this performance is shown in the effectiveness of information from the system regarding determining drug purchasing patterns for drug availability and drug layout to make it easier to find out the whereabouts of drugs seen from the 2 drug itemsets.
Sistem Informasi Pendaftaran Peserta Didik Baru Berbasis Web Pada SMP Negeri 2 Wanukaka Matius Laiya Motu; Elfira Umar; Agustina Purnami Setiawi
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1672

Abstract

SMP Negeri 2 Wanukaka is one of the educational institutions in West Sumba Regency. The purpose of designing and implementing this web-based new student registration information system is due to the lack of information to prospective new students regarding information on the new student registration process such as registration flow, information on registration fees and so on. So by designing this information system prospective new students can access new student registration information online so that prospective new students do not have to go to school to get registration information. In designing this web-based new student registration information system using the PHP and MySQL programming languages as database servers which have been summarized in one XAMMP application, the system design uses the waterfall method which consists of analysis, system design, coding and testing. The aim of creating this system is to support the service process so that it can improve the quality of service in conveying information to the public and assist the school in processing data on prospective new students well. After implementing the system and user testing which was carried out using the interview method at the school, the results were obtained that the existence of this web-based new student registration information system can help prospective new students to receive and access online registration information, including information on registration requirements. , test schedule, registration fees, graduation announcements, as well as a test card feature that can be printed directly by prospective new students which will later be used as a requirement for taking the selection exam. It can also help the school in preparing new student reports online, so that the information provided is distributed more effectively and efficiently, and the processing of new student admissions data can be done more effectively.