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All Journal Jupiter Jurnal Ilmiah Matrik Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Sisfokom (Sistem Informasi dan Komputer) DoubleClick : Journal of Computer and Information Technology JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik Journal of Information Systems and Informatics Cakrawala Repositori Imwi Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Information Technology Ampera Jurnal Nasional Ilmu Komputer Journal of Computer and Information Systems Ampera Jurnal Pengabdian kepada Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Pengabdian kepada Masyarakat Bina Darma RESLAJ: Religion Education Social Laa Roiba Journal E-Amal: Jurnal Pengabdian Kepada Masyarakat
Susan Dian Purnamasari
Universitas Bina Darma
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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PREDIKSI KELULUSAN MAHASISWA FAKULTAS TEKNIK UNIVERSITAS BINA DARMA MENGGUNAKAN ALGORITMA NAVE BAYES Robi Sepriansyah; Susan Dian Purnamasari; Kiky Rizky Nova Wardani; Nasrul Halim
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 1 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i1.3459

Abstract

Penelitian ini digunakan untuk memprediksi kelulusan mahasiswa fakultas teknik pada universitas bina darma sebagai salah satu penunjang dalam pengambilan keputusan dengan memanfaatkan data mahasiswa yang terdiri dari sks dan Indek Prestasi Kumulatif. Tahapan penelitian ini menggunakan Knowladge Discovery In Database (KDD) dengan algoritma Nave Bayes. Berdasarkan penelitian yang telah dilakukan dengan data Training (latih) sebanyak 151 record dan data Testing (uji) sebanyak 120 record. maka didapatkan hasil akurasi penelitian dengan menggunakan perhitungan confusion matrix multiclass bahwa nilai akurasi dari hasil prediksi menggunakan algoritma nave bayes yaitu 78 mahasiswa yang akan lulus di semester 8 dengan akurasi sebesar 98%, lulus di semester 9 sebanyak 24 mahasiswa dengan akurasi 96%, lulus di semester 10 sebanyak 3 mahasiswa dengan akurasi 100%, dan lulus disemester 12 sebanyak 15 mahasiswa dengan akurasi 98%, Kemudian dari nilai akurasi secara keseluruhan untuk prediksi kelulusan mahasiswa menggunakan algoritma nave bayes sebesar 95,33%. Berdasarkan hasil dari penelitian menggunakan algoritma nave bayes maka akurasi tersebut sudah cukup untuk menentukan prediksi kelulusan mahasiswa.
Simulasi Metaverse Konser Musik Virtual Berbasis Roblox Akhmad Rifky Rinaldi; Susan Dian Purnamasari
Cakrawala Repositori IMWI Vol. 6 No. 2 (2023): Cakrawala Repositori IMWI
Publisher : Institut Manajemen Wiyata Indonesia & Asosiasi Peneliti Manajemen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52851/cakrawala.v6i2.296

Abstract

Metaverse as a form of technological advancement has become a hot topic of discussion at worldwide. Metaverse is a technology that can create a three-dimensional virtual world by utilizing modern technology, where users can interact as if they are in a real-world through three-dimensional avatars. In Metaverse, users can do many things as usual, such as gathering with friends, working, learning, playing, shopping, experimenting, creating, and so on. Almost all physical activities and social interactions can be done in Metaverse. However, research on Metaverse is currently limited to knowledge and theory, and there is not much research discussing the detailed and actual form of Metaverse itself. Therefore, as a first step in building Metaverse, this research will focus on creating a virtual music concert as a simulation of the Metaverse world using the Roblox platform with the aim of creating a Metaverse simulation with a virtual music concert theme, providing references related to the appearance, environment, and atmosphere that can be used in Metaverse, as well as introducing features and user flow when watching a virtual music concert.
Sentiment Analysis Of Indonesian Capital Movement Using The Naive Bayes Algorithm M Dawa Muzzikri; Susan Dian Purnamasari; Hadi Syaputra
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 1a (2023): Jupiter Edisi April 2023
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5218/15.jupiter.2023.04

Abstract

Using the hashtags #IKN and #IbuKotaPindah, this study aims to ascertain how Indonesians on Twitter feel about the relocation of the capital. The data is then processed by text processing after being saved in a CSV file. By using the Nave Bayes Classifier method, the text classification process is split into positive and negative sentiment classes. The accuracy of the algorithm is determined by the test results in analyzing the performance of the algorithm using the Confusion Matrix reference and expressing the predictions and actual conditions of the data generated by the algorithm. The f1-score is the average of precision and recall, which are expressed as the positive class at 79 percent and the negative class at 96 percent. Precision is the ratio of the correct amount predicted on the positive class label at 82 percent, negative 95 percent, and recall is the ratio of the correct predicted amount to the overall correct data. Rapid Miner 9.10 is used. Display tab visualizations of the histogram, wordcloud, test data table, and original data table.
Membaca Cerita Bergambar Untuk Meningkatkan Perkembangan Kognitif Anak Usia Dini Agnes Moneta; Mutia Mawardah; Susan Dian Purnamasari
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.v4i2.924

Abstract

Perkembangan kognitif adalah kemampuan berfikir serta kecerdasan anak memahami lingkungan sekitar, mempelajari hal baru, mengembangkan daya ingat, imajinasi dan kemampuan dalam menyelesaikan soal – soal. Adapun aspek aspek perkembangan kognitif anak usia dini yaitu belajar pemecahan masalah, berfikir logis, dan berfikir simbolik. Anak usia dini merupakan sekelompok individu yang berada pada rentang usia antara 0 – 8 tahun yang sedang dalam proses pertumbuhan dan perkembangan. Anak usia dini dalam membangun kemampuan kognitif dapat melalui interaksinya dengan dunia disekitarnya, setiap anak memiliki kemampuan perkembangan kognitif yang berbeda. Anak usia dini yang sudah memasuki usia tiga tahun perkembangan kognitifnya sudah mulai kompleks dimana anak mulai memasuki tahap berpikir simbolik. Untuk meninggkatkan kemampuan perkembangan kognitif anak usia dini dapat memalui membacakan cerita bergambar. Dalam cerita bergambar anak akan dikenalkan dengan dunia luar secara sederhana, melalui gambar-gambar yang berwarna, kandungan isi ceria yang menarik, mengenalkan symbol-simbol yang ada di lingkungan sekitar. Membacakan buku cerita ini, merupkan stimulasi ynag tepat untuk meningkatkan kemampuan kognitif anak usia dini di era digitalisasi, dimana kini banyak anak-anak yang kecanduan gadget.
SISTEM INFORMASI BORANG AKREDITASI PROGRAM STUDI BERBASIS WEB Susan Dian Purnamasari; Muhammad Nasir
Jurnal Ilmiah Matrik Vol 19 No 1 (2017): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.389 KB) | DOI: 10.33557/jurnalmatrik.v19i1.372

Abstract

The accreditation form of the study program is the reference used for the process of quality assessment and feasibility study program conducted by the National Accreditation Board of Higher Education (BAN PT). To be able to assess the study program will arrange an accreditation form which contains questions about the process that runs in the study program. Filling in the form according to the criteria specified by BAN PT in seven standards. In the study only on standard data management 6 on financing, facilities and infrastructure and 7 on research and community service. Because it involves interrelated data, then the system created will integrate the data scattered and web-based. This form of filling system can also make an automatic assessment of quantitative form fields. As for the content that is normative then made the field of assessment based on the criteria set in book 6 on the assessment matrix.
DASHBOARD SISTEM INFORMASI EKSEKUTIF PENJUALAN Susan Dian Purnamasari; Alek Wijaya
Jurnal Ilmiah Matrik Vol 19 No 3 (2017): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (373.024 KB) | DOI: 10.33557/jurnalmatrik.v19i3.388

Abstract

Currently PT Semen Baturaja (Persero) Tbk already has a sales information system that has been integrated with enterprise resource planning (ERP) company system. However the existing information system provides more information relating to the course of sales operations, sales report submission is still less organized and still using office applations. The report is also not appropriate for the executive. The high level of directors mobility makes the required sales data must be fast and accurately received by the board of directors. Therefore, PT Semen Baturajaic (Persero) Tbk is in need of an information system that serves as a means to view all sales data in the long run and can be viewed anytime without having to wait for reports from sales staff. This research generates executive sales information systems at PT Semen Baturaja (Persero) Tbk by utilizing business intelligence that is able to provide detailed information on sales in chart or graphic display
BASIS DATA TERDISTRIBUSI UNTUK DATA INVENTARIS BARANG Susan Dian Purnamasari; Eka Puji Agustini
Jurnal Ilmiah Matrik Vol 18 No 1 (2016): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.751 KB) | DOI: 10.33557/jurnalmatrik.v18i1.395

Abstract

system can not be separated from the database. The database can either be petrified management in data processing in a rapid, precise and accurate . One of distributed database is one of 3 types of databases that can be used apart from the type of relational database, database integration. For a company that has many branches of the need for a database that can hold large amounts of data with very necessary , a distributed database is appropriate for the management of data bases that can be used in several branches of the company. This research will discuss a distributed database system for managing data inventory. So the data inventory at each branch can be distributed and reported quickly and efficiently.
Dashboard Monitoring Pemesanan Produk Percetakan Dengan Pendekatan Key Performance Indikator Putri Diana Nopianti; Susan Dian Purnamasari; Andri Andri; Muhamad Ariandi
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1155

Abstract

Printing is a complex industry with processes involving many variables and stages. In this context, it is important to have an effective tool to monitor and manage printing product orders. Dashboard monitoring with a key performance indicator (KPI) approach can be the right solution for monitoring operational performance and identifying areas that need improvement. This study aims to create a KPI-based monitoring dashboard for printing product orders that is relevant to business goals. The current printing order process, transaction records and order results are still being processed using manual methods. Summarized in the order recap sheet made by the cashier every month. The process of analysis of achievement for ordering so far has not been carried out. From the analysis process that has not been carried out, there are obstacles including making the printing press not know the bidding position directly, the number of orders for each printing product whether it reaches the order target or not. His suggestion is to make an order monitoring dashboard to be able to see which position the target is in and what position the current offer is in. The most effective solution to find out is the Monitoring Dashboard for Printing Product Orders with the Key Performance Indicator Approach). The goal is to make it easier for the owner to meet the orders used, namely the concept of the KPI approach. The dashboard monitoring of orders aims to monitor the achievement of printing targets. The methodology used in this study includes the stages of Business Justification, Business Drivers, Business Issues Analysis, Cost-Benefit Analysis, and Risk Assessment. The needs analysis process involves engaging KPIs that are relevant to ordering printing products, based on the company's deep understanding of business processes and goals. Dashboard design involves selecting metrics, setting up informative visual displays,. The developed dashboard provides an overview of printing product orders as a whole. This KPI approach in dashboard monitoring provides significant benefits for printing companies. By monitoring orders through relevant metrics, companies can identify and implement process improvements needed to increase order efficiency, and improve product quality. In addition, this dashboard can also find out if you don't know the position of the offer directly or the number of orders for each printing product whether it reaches the order target or not. You can use this dashboard to monitor orders to be able to see between the target and the current advertising conditions which position is in the right place. set on accurate and up-to-date data.
Prediksi Kredit Sepeda Motor pada Showroom Astra Motor Sako Palembang dengan Metode Naive Bayes Septian Dwi Fernando; Susan Dian Purnamasari; Hadi Syaputra; Nurul Adha Oktarini Saputri
DoubleClick: Journal of Computer and Information Technology Vol 7, No 1 (2023): Optimalisasi Teknologi Informasi
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/doubleclick.v7i1.14210

Abstract

Penentuan layak kredit kepada calon kreditur merupakan sebuah proses untuk mengetahui apakah dikemudian hari calon kreditur tersebut akan lancar membayar atau macet di tengah jalan, Adanya pemberian pinjaman pada anggota ini tidak jarang menimbulkan permasalahan terutama dengan terlambatnya membayar angsuran. Kredit adalah penyediaan uang atau tagihan yang dapat dipersamakan atas persetujuan atau kesepakatan pinjam meminjam antara bank dengan pihak lain yang mewajibkan pihak peminjam melunasi utangnya. maka untuk mengatasi terjadinya permasalahan tersebut pihak showroom Astra Motor Sako Palembang membutuhkan sebuah analisa sebuah hasil prediksi untuk mengetahui apakah calon kreditur tersebut dapat dinyatakan layak atau tidak dalam menggambil kredit motor khususnya pada perusahaan tersebut. Metode yang dibutuhkan dalam penerapan analisa ini adalah metode naïve bayes yang terkenal dengan cepat dalam komputing proses sebuah data, dengan menggunakan metode tersebut dalam menjalankan analisa kelayakan kredit terhadap pemberian kredit terhadap calon kredit. Data Mining mampu dengan baik mengklasifikasikan dataset nasabah dan sebagai penentuan kelayakan pemberian kredit kepada nasabah. Hasil penelitian ini adalah akurasi dari kelayakan calon kreditur dengan menggunakan tools rapidminer sebagai alat bantu serta menggunakan model Naïve Bayes sebagai metode pemecah masalah pada keputusan menggambil kredit sepeda motor pada showroom Astra Motor Sako Palembang. 
SOSIALISASI KESIAPAN MASYARAKAT MENGHADAPI ERA NEW NORMAL DI DESA TAJA INDAH Mutia Mawardah; Susan Dian Purnamasari; Febriyanti Panjaitan; Widya Cholil; Ilham Muammar Choiri
E-Amal: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 2: Mei 2021
Publisher : LP2M STP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/eamal.v1i2.658

Abstract

Saat ini Pemerintah Indonesia telah melakukan pelonggaran kebijakan terkait mobilitas warganya untuk pencegah penularan covid-19 dengan menerapkan skenario new normal. Diharapkan pada era ini masyarakat tetap melakukan physical distancing, membiasakan mencuti tangan telah melakukan aktivitas, membawa hand sanitizer dan menghindari keramaian. Permasalahan yang melatarbelakangi kegiatan ini adalah kurangnya pemahaman masyarakat di Desa Taja Indah mengenai era new normal, sehingga beberapa masyarakat tidak menerapkan dan mengabaikan protokol kesehatan guna mencegah penyebaran covid 19. Tujuan kegiatan ini adalah memberikan penyuluhan kepada masyarakat mengenai protokol kesehatan yang harus diterapkan dalam menghadapi era new normal. Kegiatan pengabdian kepada masyarakat ini terlaksana melalui berbagai persiapan dengan melakukan sosialisasi langsung kepada masyarakat, membagikan masker gratis, serta membuat tempat untuk mencuci tangan. Dengan adanya kegiatan program pengabdian kepada masyarakat ini, masyarakat mampu beradaptasi di era new normal dan dapat menerapkan protokol kesehatan guna mencegah penyebaran virus covid 19.
Co-Authors A.Haidar Mirza Agnes Moneta Akhmad Rifky Rinaldi Alek Wijaya Andi Nur Sheila Fatihanisya Andri Andri Andri, Andri Bangkit Seandi Taroreh Candra Buana Deska Novita Sari Dinda Mustika Ariani6 Edi Supratman Eka Puji Agustini Evi Yulianingsih Febriyanti Panjaitan Firamon Syakti Hadi Syaputra Hadi Syaputra Helda Yudiastuti Herikson Nainggolan Ilham Muammar Choiri Ilman Zuhri Yadi kiky rizky nova wardani Leo Putrawan Handho Lusiana Rahma M Dawa Muzzikri M. Iqbal Ramdhani Melinda Nopita Muhammad Bhakti Fajri Muhammad Ilham Muhammad Iqbal Ramdhani Muhammad Nasir Mutia Mawardah Nasrul Halim Nurul Adha Oktarini Saputri Oktaviani, Nia Putri Diana Nopianti PUTRO DWI ASMORO Rini Octavianti Rizqi Prasetyo Robi Sepriansyah Rusti Simatupang Sawi Sujarwo Septian Dwi Fernando Silfani Oktaviani Tri Noviana Triska Amalia Sari Widya Cholil Windi Melisa