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Integrasi Algoritma Genetika Dan Information Gaint Untuk Menganalisis Sentimen Review Hotel Menggunakan Algoritma Naive Bayes Ari Abdilah; Elva Mardiyani; Mahmud Safudin
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 4, No 1 (2018): JURNAL TEKNIK KOMPUTER AMIK BSI
Publisher : Universitas Bina Sarana Informatika

Input and advice is one important part of the application site, in order to assess and improve a quality and quality, Reading reviews helps consumers choose the best hotels, help companies and developers to monitor user satisfaction to improve the quality and quantity of features and services, read as a whole and in manual can spend quite a long time, if read at a glance, the information is not delivered perfectly. This study analyzes the user sentiment Agoda Hotels by automatically classifying reviews for a positive or negative opinion. To improve the accuracy of Naïve Bayes methods Feature Selection, Information Gain and genetic algorithms. This model was evaluated using 10 Fold Cross Validation. Measurements were made with the Confusion Matrix and the ROC curve, comparing accuracy before and after the addition of feature selection methods. The results showed an increase in accuracy, 60.50% to 83.00%.

Aplikasi Komputer dan Smartphone Berbasis Android untuk Menangani Reservasi Hotel pada Citi Smart Hotel - BSD Ari Abdilah; Elva Mardiyani; Imam Nawawi
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 4, No 2 (2018): JURNAL TEKNIK KOMPUTER AMIK BSI
Publisher : Universitas Bina Sarana Informatika

Presentation of information the availability rooms still manual is one of the problems experienced by Citi Smart Hotel for visitors to come to the hotel or reservation via telephone to know the availability room. It will be wasting visitor time to come to the hotel and just asking availability room and then make a reservation. This needs to made to a reservation system that can provide more detailed information on bookings and availability rooms in hotel, then built the application of a reservation hotel room based Android. This application running on a platform Android and integrating with applications residing on the server. This research talk about the design and the implementation of the application of a reservation system hotel room based Android. Through the application of this reservation, it is expected that the transaction a reservation can be done anywhere and anytime without bound with time and appropriate place the cost of also by the visitor.

Aplikasi Sistem Informasi Koperasi Simpan Pinjam Berbasis Web Pada PT. Mitraindo Sejahtera Utama Tangerang Ari Abdilah; Elah Nurlelah; Fuad Nur Hasan; Dwi Yuni Utami
Jurnal Teknik Komputer AMIK BSI Vol 8, No 1 (2022): JTK Periode Januari 2022
Publisher : Universitas Bina Sarana Informatika

Koperasi karyawan PT. Mitraindo Sejahtera Utama cara kerjanya masih bersifat manual dengan menggunakan aplikasi Microsoft Excel, sehingga informasi yang dihasilkan kurang akurat dan kemungkinan terjadi kesalahan dalam proses pendataan dan perhitungan. Tujuan penelitian ini untuk membuat sebuah aplikasi simpan pinjam berbasis web pada Koperasi karyawan PT. Mitraindo Sejahtera Utama. Dengan adanya aplikasi ini diharapkan dapat mengurangi kesalahan dalam pengolahan data dan dapat memperlancar jalanya proses simpan pinjam pada Koperasi karyawan PT. Mitraindo Sejahtera Utama, sehingga proses kinerja menjadi lebih cepat dan akurat. Metode perancangan perangkat lunak yang digunakan yaitu analisa sistem berjalan pada Koperasi karyawan PT. Mitraindo Sejahtera Utama meliputi desain sistem, desain database dan implementasi sistem. Laporan yang dihasilkan meliputi laporan data anggota, simpanan anggota, laporan pinjaman serta laporan angsuran pinjaman. Bahasa pemograman yang digunakan adalah PHP My SQL, perangkat lunak yang mendukung dalam pembuatan aplikasi adalah Dreamweaver CS6, Adobe photoshop dan Xampp.

Rancang Bangun Sistem Informasi Rent Car Dengan Pengunaan Aplikasi Online Ari Abdilah; Badariatul Lailiah; Rabiatus Sa’adah
Computer Science (CO-SCIENCE) Vol. 1 No. 2 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i2.474

PT. Rent Car is one of the companies engaged in the rental car (rent a car). In the process of recording data, officials are still doing by entering the data into the general ledger, so it is considered less effective also make it difficult for the officer to make a report. When a customer wants to rent a car they want, they often feel disappointed because the car is limited and does not know the information about the car that wants to hire. The method used in this research includes methods of data collection and system development methods. Therefore, PT. Rent Car need a rental application system that can integrate the conventional rental system toward online rental system. And specification of software used to design a web-based information system that is using the programming language PHP scripts and to use MySQL database.

Seleksi Fitur Klasifikasi Penyakit Diabetes Menggunakan Particle Swarm Optimization (PSO) Pada Algoritma Naive Bayes Nurlaelatul Maulidah; Ari Abdilah; Elah Nurlelah; Windu Gata; Fuad Nur Hasan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

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

Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm

Implementasi Algoritma Apriori Terhadap Data Penjualan PT. Frasa Group Badariatul Lailiah; Dwi Yuni Utami; Ari Abdilah
Bahasa Indonesia Vol 9 No 2 (2022): Bina Insani ICT Journal (Desember) 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/biict.v9i2.2021

PT. Frasa Group Ini adalah perusahaan yang memperluas segmentasi produsen makanan beku siap saji. Berfokus pada kebutuhan konsumen merupakan kesimpulan yang dapat mencakup niat individu konsumen untuk memanfaatkan nilai-nilai keselamatan dan standar etika yang tinggi terkait dengan keselamatan konsumen. Satu-satunya kelemahan dari pengembalian dana pos adalah pasokan juga merupakan satu kelemahan industri untuk bisnis mengingat pasokan suku cadang tidak dapat dihindari dalam jadwal pembayaran. Ini karena perangkat tidak dapat. Oleh karena itu, untuk menerapkan manajemen inventaris yang efektif, Anda perlu mengetahui realitas pasar. Oleh karena itu bagaimana mengimplementasikan algoritma apriori di PT. Kelompok frase dengan Tanagra untuk memungkinkan perusahaan menggunakan algoritma apriori untuk menentukan produk mana yang terlaris, menggunakan variabel yang memenuhi dukungan dan kepercayaan rendah. Hasil penelitian ini, asosiasi definitif diketahui, jika membeli YSA maka membeli YNAP support 39,02% dan confidence 86,74%, jika membeli YNAP maka membeli YSA support 39,02% dan confidence 80,89%, Dengan menggunakan hasil yang diperoleh, perusahaan dapat menggunakan algoritma apriori untuk meningkatkan strategi penjualan.

Estimation Effort Pengembangan Software Inventory PT. Infinity Global Mandiri Menggunakan Metode Use Case Point Rifky Permana; Ari Abdilah; Fuad Nur Hasan; Mahmud Syarif
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 5 No 2 (2023): Agustus
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v5i2.144

Estimasi biaya merupakan salah satu faktor penentu keberhasilan proyek pembuatan perangkat lunak. Perkiraan biaya yang terlalu kecil akan mengakibatkan perangkat lunak yang dihasilkan berkualitas rendah, sebaliknya, perkiraan biaya yang terlalu besar akan mengakibatkan pemborosan sumber daya yang digunakan. Perhitungan estimasi biaya didasarkan pada usaha yang dilakukan untuk pembuatan perangkat lunak dan standar biaya aktivitas tenaga IT. Proyek kerangka pengembangannya pada umumnya mencakup banyak modul yang dikembangkan pada unit-unit bisnis yang ada, namun studi kasus pada penelitian ini hanya akan dibuat kerangka pengembangan perangkat lunak inventory pada PT. Infinity Global Mandiri. Metode yang digunakan dalam penelitian ini yaitu metode Use Case Point. Untuk menghitung besarnya effort, proses perhitungan melibatkan analisa function point yang dalam perhitungannya melibatkan pendekatan fungsional perangkat lunak dengan mengidentifikasi dan mengkuantifikasi kegunaan pemrosesan informasi melalui hasil perhitungan faktor eksponen dan effort adjustment factor. Effort dalam satuan person-month yang didapatkan nantinya akan dikalikan nilai gaji dengan mengacu pada standar gaji/tarif biaya aktivitas pekerja TI, maka hasil perhitungan akhir yang diperoleh dapat memberikan estimasi biaya yang diperlukan dalam pembuatan kerangka pengembangan perangkat lunak inventory pada PT. Infinity Global Mandiri

Penerapan Metode Belajar Daring pada Warga Rt 002/02 Tegal Parang di Masa Pandemi Covid-19 Ahmad Al Kaafi; Suparni Suparni; Ari Abdilah; Siti Khotimatul Wildah; Ikrom Mauludin Salam; Sanggayasa Sanggayasa
Jurnal PkM (Pengabdian kepada Masyarakat) Vol 6, No 4 (2023): Jurnal PkM: Pengabdian kepada Masyarakat
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jurnalpkm.v6i4.9304

Dunia telah memasuki era globalisasi yang diawali dengan persaingan pengembangan dan penerapan teknologi baru di negara-negara maju. Dengan kondisi saat ini, sebagian besar pendidikan di Indonesia masih didominasi oleh model pendidikan online. Oleh karena itu, untuk mendukung penyelenggaraan pendidikan dan meningkatkan kualitas pendidikan, teknologi informasi dan komunikasi harus dimanfaatkan secara optimal. Salah satu pemanfaatan teknologi informasi dan komunikasi dalam pendidikan adalah munculnya konsep e-learning yang mempengaruhi transformasi pendidikan tradisional ke dalam format digital. Hal ini tidak terlepas dari Rukun Tetangga (RT) 002/02 Kecamatan Tegal Parang, Jakarta Selatan, dimana kondisi pandemi saat ini memaksanya untuk melakukan kegiatan belajar mengajar secara daring (daring) dan pengetahuannya tentang penerapan beberapa program ke sel. memperluas ponsel atau laptop. Untuk mendukung kegiatan belajar mengajar, banyak warga siswa yang hanya mengandalkan chat (WhatsApp) untuk berkomunikasi dengan pihak sekolah atau mengirim video dan mengajukan pertanyaan-pertanyaan praktis

Design of a digital system for community services in the village of kuala II Badariatul Lailiah; Ari Abdilah
Jurnal Mandiri IT Vol. 12 No. 1 (2023): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i1.220

In this study, the object was taken regarding a web-based community service information system in Kuala II Village, Sui Raya District. In the process of serving the community, especially in the field of making certificates in Kuala II Village, Sui Raya District, previously it was still using a manual system. Where people have to come to the sub-district office and fill out a form and come back again to inquire about the processing and also still have to come back to pick up the results. With this manual system it causes less efficient time. So a study was conducted with the aim of creating a new system that could help and speed up the process of service to the community in Kuala II Village, Sui Raya District. In this research analysis, new information was generated, namely a web-based community service information system in Kuala II Village, Sui Raya District. With this system, it is hoped that it will expedite work and facilitate the community in the process of making services. The conclusion obtained with this new system is that the community can speed up the process of making a statement from the Jelupang Village. While the advice that must be considered is the need for human resources who can run and develop the system properly.

Seleksi Fitur Klasifikasi Penyakit Diabetes Menggunakan Particle Swarm Optimization (PSO) Pada Algoritma Naive Bayes Nurlaelatul Maulidah; Ari Abdilah; Elah Nurlelah; Windu Gata; Fuad Nur Hasan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

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

Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm

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