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All Journal Jurnal Informatika Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal Pilar Nusa Mandiri INOVTEK Polbeng - Seri Informatika Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology IJIS - Indonesian Journal On Information System Jurnal Riset Informatika Jurnal Infortech Infotek : Jurnal Informatika dan Teknologi Jurnal Sistem Informasi JUSTIAN - Jurnal Sistem Informasi Akuntansi Jurnal Insan Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Aruna Mengabdi (ARMI) Journal of Accounting Information System Jurnal Ilmiah Sistem Informasi
Ari Puspita
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Peningkatan Kinerja Metode Naive Bayes Dengan Particle Swarm Object Untuk Dataset Pemilihan Metode Melahirkan Hilda Amalia; Rafi Zuhud Agungsyah; Fenny Ayu Lestari; Ade Fitria Lestari; Ari Puspita; Sriyadi Sriyadi
SWABUMI (Suara Wawasan Sukabumi): Ilmu Komputer, Manajemen, dan Sosial Vol 11, No 2 (2023): Volume 11 Nomor 2 Tahun 2023
Publisher : Universitas Bina Sarana Informatika Kota Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/swabumi.v11i2.17138

Abstract

Melahirkan merupakan fase terakhir yang harus dilalui seorang ibu untuk bertemu dengan bayi yang dikandungnya selama kurang lebih 38 minggu. Pemilihan proses persalinan yang tepat akan mempengaruhi keselamatan ibu dan bayinya. Secara umum proses melahirkan dapat dilakukan dengan dua cara, yaitu secara normal atau melalui operasi yang lebih dikenal dengan operasi caesar. Dalam praktiknya, pemilihan proses penyampaian tidak selalu berjalan sesuai rencana. Bila seorang ibu ingin melahirkan secara normal, namun beberapa faktor dan kondisi tidak memungkinkan untuk dilakukan proses tersebut, maka akan dilakukan operasi caesar. Dalam hal ini digunakan ilmu data mining dengan metode Naive Bayes untuk mengambil keputusan mengenai pemilihan proses pengiriman yang tepat. Pengolahan data menggunakan metode naïve Bayes akan meningkatkan kinerjanya dengan menggunakan algoritma Particle Swarm Optimization (PSO). hasil penelitian adalah nilai akurasi metode naïve bayes sebesar 70,83% sebagai prediksi pilihan melahirkan. Dan hasil penggunaan metode optimasi PSO pada metode naïve Bayes memperoleh nilai akurasi sebesar 91,77%. Childbirth is the final phase that a mother must go through to meet the baby she has been carrying for approximately 38 weeks. Choosing the right delivery process will affect the safety of the mother and baby. In general, the process of giving birth can be done in two ways, namely normally or through surgery, which is better known as a cesarean section. In practice, the choice of delivery process does not always go according to plan. When a mother wants to give birth normally, but several factors and conditions do not allow the process to be carried out, it will be done by caesarean section. In this case data mining science is used with the Naive Bayes method to make decisions regarding the selection of the right delivery process. Data processing using the naïve Bayes method will improve its performance using the Particle Swarm Optimization (PSO) algorithm. the results of the research are the accuracy value of the naïve Bayes method of 70.83% as a prediction of the choice of giving birth. And the results of using the PSO optimization method on the naïve Bayes method obtained an accuracy value of 91.77%.
PERANCANGAN DAN PEMBUATAN APLIKASI E-LEARNING MENGGUNAKAN MODEL WATERFALL PADA SEKOLAH MENENGAH ATAS Ari Puspita; Muhammad Fahmi; Yuyun Yuningsih
Jurnal Riset Informatika Vol. 1 No. 4 (2019): Periode September 2019
Publisher : Kresnamedia Publisher

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Abstract

Berbagai konsep dan teknik baru dalam pengajaran telah banyak dikembangkan untuk menggantikan metode tradisional yang hanya mengandalkan pada metode pengajaran satu arah di kelas. Salah satu metode pengajaran yang sedang berkembang di masa sekarang adalah e-learning. E-learning dapat membantu para pengajar dalam mendistribusikan bahan ajar mereka tanpa harus berada di kelas dengan menggunakan internet, hal ini dapat memaksimalkan waktu pembelajaran di kelas yang terbatas. Pengembangan sistem informasi dalam pembuatan perangkat lunak menggunakan model Waterfall dan dalam pembuatan perangkat lunak ini menggunakan PHP sebagai bahasa script yang digunakan untuk membuat halaman website dan MySQL sebagai database tempat penyimpanan data. Memudahkan para guru untuk dapat mendistribusikan materi pelajaran untuk siswa dapat dengan mudah mendapat materi pelajaran. Website e-learning ini dapat dijadikan media mengerjakan soal-soal ujian berupa pilihan ganda dan mengumpulkan tugas-tugas yang di berikan oleh guru. Kata kunci: , E-Learning, Model Waterfall
Implementation of AHP Method in Decision Support for Selecting Outstanding Students Case Study: Senior High School Ari Puspita; Yuyun Yuningsih; Hilda Amalia; Ade Fitria Lestari
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

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Abstract

The research looks for excellence each student has to find out students who excel. Academic and non-academic achievements can be a benchmark for finding the best students. The research method used in this study is the survey research method, in which the writer will distribute the questionnaire to one of the High Schools with the target of the research being students and observing through the principal and teachers at the High School. This study uses the AHP (Analytical Hierarchy Process) method which is assisted by Expert Choice Software in making decisions regarding high-achieving students in high schools in the Tangerang area. AHP process by comparing one student with other student candidates based on predetermined criteria, also comparing between criteria, to find which criteria are more favored. The results of the processing of the Expert Choice Software in the form of graphic images that show superior students can be decided by decision-makers. Keywords: Survey, , Achievement
MEASURING SATISFACTION USER WEBSITE WWW.QOO10.CO.ID USING DELONE AND MCLEAN MODELS Yuyun Yuningsih; Ari Puspita; Dahlia Dahlia
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i3.110

Abstract

The research to measure customer satisfaction with the use of a product or service sold on online shopping sites that can meet their needs as expected. The research method used in this study is a survey method, the authors distribute questionnaires to men or women aged 17-40 years who have already or frequently shop online through the website www.qoo10.co.id. This research uses Delone and McLean models and is assisted with AMOS (Analysis of Moment Structure) software. Delone and McLean models can facilitate researchers in determining the variables that affect measuring website user satisfaction. the results of this study are in the form of a chart that concludes that the quality of the information system influences user satisfaction. The quality of the system affects the user, user satisfaction affects the user, and usage influences the benefits of the web www.Qoo10.co.id with the value of Chi-Square 7.015 and a Probability value of 0.83.
DESIGN AND DEVELOPMENT OF ACCOUNTING INFORMATION SYSTEM FOR CASH SALES OF MILD STEEL Ari Puspita; Yuyun Yuningsih; Muhammad Fahmi; Rahmat Tri Yunandar
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i1.145

Abstract

Abstract Technological developments are now experiencing rapid growth, so many entrepreneurs compete to produce new companies. At this time, the light steel business is multiplying. The researcher tries to research the weak steel sales system. Most companies do not have a computerized recording system, so inputting invoices is hampered. Sales notes are written manually to report generation, so that it will take a long time. In making the information system, the author will use the waterfall model and will use the PHP programming language for the manufacture of this software. The purpose of making this sales information system is to make it easier to carry out a mild steel sales system to shorten processing time and minimize all forms of errors in reporting.
Digital Kalkulator Lingkar Lengan Atas Ibu Hamil Aris Suryadi; Yuli Wahyuni; Nyanyu Siti Aminah Lily Alfrieda; Ari Puspita; Antonius Ariyo Nugroho
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 17 No. 1 (2023)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v17n1.2215

Abstract

Pengukuran status gizi mudah dan praktis menggunakan alat ukur yaitu pita pengukur lingkar lengan atas. Di Indonesia, perhitungan lingkar lengan atas menggunakan cara yang masih manual dan bisa saja terjadi salah hitung, ini merupakan indikator risiko kekurangan energi kronis. Kekurangan energi kronis dapat dialami wanita usia subur umur 1545 tahun sejak remaja kemudian berlanjut pada masa kehamilan dan menyusui akibat cadangan energi dan zat gizi yang rendah. Dampak jangka panjang gizi makro pada wanita usia subur dan ibu hamil dengan kekurangan energi kronis adalah melahirkan bayi dengan berat badan lahir rendah (BBLR). Dari permasalahan tersebut dibuat alat kalkulator Lingkar Lengan Atas Ibu Hamil digital portabel berbasis mikrokontoler. Perhitungan dilakukan secara digital dimana datadata dimasukan di proses melalui mikrokontoler yang akan ditampilkan dilayar LCD berupa hasil akhir sehingga dapat memperkiran nilai gizi ibu hamil dan juga dapat memperkirakan bayi mengalami resiko kurang energi kronis dan bayi dengan berat badan lahir rendah. Hasil yang didapat dari Dari 20 data yang telah di proses oleh kalkulator lingkar lengan atas ibu hamil rata-rata ibu hamil memiliki lingkar lengan 26 sampai 28 cm dengan hasi persentase 91,23 persen-98,25persen yang termasuk kategori normal. Kata kunci lingkar lengan atas, ibu hamil, gizi, mikrokontroler, digital.
Penerapan Metode Waterfall dalam perancangan aplikasi sistem pembelian alat kesehatan berbasis Dekstop Ari Puspita; Yuyun Yuningsih; Hilda Amalia; Ade Fitria Lestari
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.12974

Abstract

The purchasing process at PT Primajaya Putra Mandiri has not been carried out effectively and efficiently. This becomes an obstacle in making purchase reports every month. For this reason, a purchasing information system design is required. Purchasing information systems can streamline the purchase transaction process and can produce more accurate and timely purchase reports and are able to record accounting transactions in a short time. Timely and accurate purchase reports are necessary for the decision-making process for business entity owners. The objective of this research is to develop software using the waterfall development method, so that it can produce software that is capable of improving the purchasing system. The development of information systems in the manufacture of software uses the Waterfall model and in the manufacture of this software uses JavaScript as the script language used to create desktop pages and MySQL as the database for data storage. The results of the design of a purchasing information system using the waterfall method can reduce errors caused by human factors (human error), avoid duplicate data entry and presentation of sales reports presented in a fast and precise time so as to help the owner to carry out the decisionmaking process
PENERAPAN MODEL WATERFALL PADA DESAIN SISTEM INFORMASI PEMBAYARAN IURAN BERBASIS WEBSITE DENGAN FRAMEWORK BOOSTRAP Puspita, Ari; Yuningsih, Yuyun; Mazia, Lia; Fahmi, Muhammad
IJIS - Indonesian Journal On Information System Vol 9, No 1 (2024): APRIL
Publisher : POLITEKNIK SAINS DAN TEKNOLOGI WIRATAMA MALUKU UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36549/ijis.v9i1.312

Abstract

Suatu sistem yang diciptakan untuk mempermudah pekerjaan, efisien dan mengelola permasalahan yang ada. Sistem pembayaran iuran masyarakat yang ada saat ini dinilai kurang efektif karena masih menggunakan cara manual, yakni pengelola RT datang langsung ke rumah warga setiap bulan dan mencatat di buku catatan. Hal ini dinilai tidak efisien karena tidak semua warga selalu hadir. di rumah pada saat pengurus RT datang untuk meminta sumbangan, dan sering terjadi kesalahan pada saat proses pendaftaran sehingga menyebabkan pengolahan data sumbangan menjadi lama. Tujuan dari pengabdian masyarakat ini adalah merancang sistem pembayaran donasi yang terkomputerisasi dengan baik. Metode pengumpulan data yang digunakan adalah observasi langsung dan wawancara dengan ketua RT dan anggota, Penelitian ini menggunakan UML sebagai alat bantunya dan menggunakan bahasa pemrograman PHP dan Waterfall sebagai model pengembangan perangkat lunaknya. Penerapan sistem informasi pembayaran iuran bulanan memudahkan pembayaran biaya bulanan, mempermudah dan mempercepat proses pemasukan data pembayaran, data pembayaran disimpan oleh Bendahara RT Penyimpanan yang akurat dan tidak terjadi kesalahan pada saat memasukkan data iuran bulanan.Kata Kunci: Sistem informasi, Iuran, Warga, Pengabdian Kepada Masyarakat
STUDENT PERFORMANCE ANALYSIS USING C4.5 ALGORITHM TO OPTIMIZE SELECTION amalia, Hilda; Yunita, Yunita; Puspita, Ari; Lestari, Ade Fitria
Jurnal Pilar Nusa Mandiri Vol 16 No 2 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v16i2.1348

Abstract

Education is one of the fields that generate heaps of data. Pile of data that can utilized by higher education institutions to improve tertiary performance. One way to process data piles in the education is to use data mining or called education data mining. The quality assessment of educational institutions conducted by the community and the government is strongly influenced by student performance. Students who have poor performance will have a negative impact on educational institutions. Student data is processed to obtain valuable knowledge regarding the classification of student performance. One method of data mining is the C4.5 algorithm which is known to be able to produce good classifications. In this research and optimization method will be used namely optimize selection on the c4.5 algorithm. Based on the research, it is known that the optimization selection optimization method can improve the performance of algorithm c4.5 from 85% to 87%.
APPLICATION OF DECISION TREE AND NAIVE BAYES ON STUDENT PERFORMANCE DATASET amalia, Hilda; Puspita, Ari; Lestari, Ade Fitria; Frieyadie, Frieyadie
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2714

Abstract

Student performance is the ability of students to deal with the entire academic series taken during school. Student performance produces two labels, namely successful and unsuccessful students. Successful students can graduate with excellent, excellent, and suitable performance labels. At the same time, students who have a label on average are students who get poor performance. Measurement of student performance is needed for every educational institution to take strategic steps to improve student performance. This study aimed to obtain a data mining method that worked well on student performance datasets. In this study, student performance datasets were processed, which had 11 indicators with one result label. Student performance datasets are processed using data mining methods, namely decision tree and nave Bayes, while the tool used for dataset processing is WEKA. The research results from processing student performance datasets obtained that the accuracy value for the decision tree method was 94.3132%, and the accuracy produced by the naive Bayes method was 84.8052%.
Co-Authors Ade Fitria Lestar Ade Fitria Lestari Ade Fitria Lestari Ade Fitria Lestari, Ade Fitria Alfrieda, Nyanyu Siti Aminah Lily Antonius Ariyo Nugroho Aris Suryadi Azironia, Aghita Dahlia Dahlia Dewi, Ratna Kusuma Endang Pujiastuti Evi Yani Fenny Ayu Lestari Fikriansyah, Muhammad Frieyadie Fuad, Mohammad Haddiel Gustisio, Fakhri Hartanto, Candra Hilda Amalia Hilda Amalia Hilda Amalia Hilda Amalia Ida Faridah Jefi, Jefi Lia Mazia, Lia Mely Mailasari Muhammad Fahmi MUHAMMAD ILHAM Nugroho, Antonius Ariyo Nurul Muthia Nyanyu Siti Aminah Lily Alfrieda Prakoso, Rio Setio Pram Anafi Karan Rafi Zuhud Agungsyah Rahmat Tri Yunandar Rani Irma Handayani, Rani Irma Retno Utami, Retno Riki Ardiansyah Seni Kurniasari Siti Helmyati Sriyadi Sriyadi Veithzal Rivai Zainal Widyastuti, Reny Wulan Dari Yuli Wahyuni Yuli Wahyuni Yuli Wahyuni Yuningsih, Yuyun Yunita Yunita Yuyun Yuningsih