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All Journal INTEGER: Journal of Information Technology Jurnal Teknoinfo The IJICS (International Journal of Informatics and Computer Science) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Mantik Indonesian Journal of Business Intelligence (IJUBI) Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Infotek : Jurnal Informatika dan Teknologi Academia Open Indonesian Journal of Cultural and Community Development Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran EXPLORER Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Indonesian Journal of Islamic Studies Prosiding University Research Colloquium Jurnal Sistem Cerdas dan Rekayasa Indonesian Journal of Applied Technology Journal of Internet and Software Engineering Journal of Technology and System Information Journal of Electrical Engineering
Arif Senja Fitrani
Universitas Muhammadiyah Sidoarjo
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Analisis Kehadiran Pemilih di Tempat Pemungutan Suara Pada Pemilihan Presiden dengan Menggunakan Algoritma C4.5 (Studi Kasus di Desa Wonokasian Sidoarjo) Wahidiyah Kurniawati; Arif Senja Fitrani; Sukma Aji; Suprianto Suprianto
Journal of Electrical Engineering Vol. 1 No. 1 (2024): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jte.v1i1.2475

Abstract

Pemilihan umum diadakan setiap lima tahun dimana seluruh warga negara Indonesia berpartisipasi sebagai bagian dari proses demokrasi. Partisipasi warga negara penting untuk menggunakan hak pilihnya dalam memilih pemimpin saat pelaksanaan pemilu. Meningkatnya jumlah pemilih yang mengikuti pemilu dapat dijadikan sebagai patokan keberhasilan pemilu. Peneliti akan menguji klasifikasi berdasarkan data penduduk pemilu yang diperoleh dari Desa Wonokasian tahun 2019 menggunakan metode data mining C4.5. Variabel yang digunakan adalah Jumlah KK, Asal Penduduk, Kategori, Status, RT, TPS, Lokasi, Hadir (keluarga) dan Hadir. Hasil dari penelitian berikut menggunakan weka sehingga memudahkan bagi masyarakat desa mengetahui data pemilu antara yang hadir maupun tidak hadir. Dari hasil klasifikasi pada metode C4.5 untuk mengklasifikasi status kehadiran dari dataset 1.700, diperoleh tingkat kebenaran sebesar 91,94% dan tingkat kesalahan sebesar 8,05%.
SISTEM PAKAR DIAGNOSA GANGGUAN KECEMASAN (ANXIETY DISORDER) MENGGUNAKAN METODE FORWARD CHAINING Muhammad, Khithoh Sabda; Fitrani, Arif Senja; Setiawan, Hamzah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 1 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i1.4441

Abstract

Gangguan kecemasan merupakan salah satu masalah kesehatan mental yang paling umum, kondisi ini dapat mengakibatkan kekhawatiran yang berdampak buruk pada rutinitas seseorang, menurunkan prestasi akademis, serta mengurangi kualitas hidup dan psikologis. Masyarat sering mengabaikan masalah kesehatan mental karena kurangnya pengetahuan dan keterbatasan fasilitas psikologis. Berdasarkan keterbatasan tersebut sistem pakar daharapkan mampu memecahkan masalah tersebut dengan melakukan konsultasi secara mandiri. Sistem pakar adalah sebuah sistem yang mengadopsi pengetahuan pakar sehingga dapat melakukan seperti yang dilakukan pakar. Dengan dibangunnya sistem pakar ini dapat membantu masyarakat untuk melakukan konsultasi di web secara secara mandiri tanpa harus ke tempat fasilitas psikologis. Sistem pakar ini menggunakan metode forward chaining dan dibuat dengan memanfaatkan bahasa pemrograman PHP dan MySQL sebagai database. Metode forward chaining diawali dengan sekumpulan fakta untuk menemukan ketentuan yang sesuai dengan prediksi yang mengarah kesimpulan. Hasil dari pengujian validitas aplikasi, sistem pakar ini memiliki nilai keakuratan sistem sebesar 100% dari 7 data uji.
RANCANG BANGUN MANAJEMEN DRIVER BERBASIS WEB DI PT. XXX Eriyanto, Sandi Eko; Eviyanti, Ade; Fitrani, Arif Senja; Indahyanti, Uce
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 1 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i1.4358

Abstract

PT. XXX merupakan perusahaan yang berdiri sejak 1989 di Surabaya dan memiliki 2 cabang yang berada di Surabaya dan Tange- rang. Perusahaan ini bergerak dibidang perdagangan mesin dan sparepart mesin diesel yang melayani penjualan toko diesel kecil yang tersebar diseluruh Indonesia, permasalahan yang terjadi adalah masih melakukan manajemen driver yang masih manual sehingga mendapat banyak kelu- han dari costumer dibidang pengiriman seperti pengiriman belum sampai kepada customer sedangkan driver sudah melakukan pengiriman sudah cukup lama dan masih menggunakan sistem report manual yang sering kali dapat dimanupulasi oleh beberapa oknum dimana barang yang seha- rusnya diantarkan kepada customer sering kali dijual sendiri oleh oknum tersebut, sehingga pada saat penghitungan stok digudang terjadi stok selisi yang mengakibatkan kerugian pada perusahaan dikarenakan tidak efisiennya manajemen driver di PT. XXX. Oleh karena itu dibutuhkan sistem informasi manajemen driver yang berfungsi sebagai sebuah sistem yang dapat mengatasi permasalah dari PT. XXX tersebut dengan terdapat fitur tracking dan bukti foto pengiriman yang dapat meminimalisir masalah tersebut terjadi kembali. Sistem Infor- masi ini di bangun menggunakan bahasa pemrograman PHP dengan da- tabase MySQL dengan menggunakan metode SDLC (Systems develop- ment life cycle) yaitu metode yang mengacu pada model dan proses yang digunakan untuk mengembangkan sistem perangkat lunak dan men- guraikan proses. Hasil dari penelitian ini adalah berupa website atau rancang bangun sistem manajemen driver berbasis web di PT. XXX. Sistem ini telah diuji kevalidasiaanya menggunakan pen- gujian Blackbox sehingga sistem layak untuk digunakan oleh admin dan user pada PT. XXX
Sentiment Analysis Before Presidential Election 2024 Using Naïve Bayes Classifier Based On Public Opinion In Twitter Prasetyo, Heri; Fitrani, Arif Senja
Procedia of Engineering and Life Science Vol 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1395

Abstract

This study aims to determine the performance of the Naïve Bayes Classifier algorithm and sentiment analysis tested on a dataset obtained from Twitter social media scrapping with the topic of 2024 presidential candidates. Three candidates frequently discussed in public spaces were used as keyword parameters in data mining: #anis, #ganjar, and #pilpres2024, resulting in 3021 tweets extracted from 12/1/2022 to 31/1/2023, which were successfully converted to ".csv" format documents. Public opinions extracted from the dataset were then pre-processed using the Python programming language, resulting in 2157 cleaned tweets. The data that passed the pre-processing stage was then labeled as positive or negative sentiment. Sentiment analysis was performed using the Naïve Bayes Classifier algorithm with three testing experiments using different training and testing data compositions in each experiment. The results of the study showed that the best Naïve Bayes model was obtained in the first experiment with a 10% testing data and 90% training data composition, resulting in 71% accuracy, 93% precision, 66% recall, and an f-measure score of 77%. The conclusion of the study is that the electability of the 2024 presidential candidates shapes public opinion and generates public sentiment in the form of positive and negative tweets. Positive tweets had a higher percentage of 71.5% (1543), while negative sentiment tweets accounted for 28.5% (614). Further research is expected to produce different information by using different classification algorithms and larger data sets.
Digital Marketing Application to Increases Livestock Sales in Sacrificial Cages in Ganggang Panjang Sidoarjo Village Based on Android Refinda, Achmad Ainun Gusti; Fitrani, Arif Senja
Procedia of Engineering and Life Science Vol 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1416

Abstract

The need for qurban animals both for the needs of the Eid al-Adha holiday and needs other than Eid al- Adha such as aqiqah, or other important events are very much needed where in the selection of sacrificial animals such as goats or cows are both very important. types of sacrificial goats and cows, the condition of the sacrificial animals so that the results given are very good. In the process of selecting, purchasing, distributing sacrificial animals, they still use the manual method, which is less efficient, so there is a need for an application system that can assist in selecting, purchasing, and distributing sacrificial animals. In running the business, most of the service processes that are applied are still manual by checking the condition of the animal by coming to the place so that it is difficult for the customer to come twice or contact by phone. Then, in managing transaction data and issuing notes, it is also still manual. "DIGITAL MARKETING APPLICATION TO INCREASING LIVESTOCK SALES IN QURBAN STAGES IN GANGGANG PANJANG VILLAGE, SIDOARJO BASED ON ANDROID" was created to simplify the process of buying and selling livestock services so as to facilitate work and improve service in these small and medium enterprises. From the results of this study it can be concluded that this system can increase effectiveness because it is not done manually, the features in the information system are easy to use and the transaction data management runs well.
Web-based Muhammadiyah E-voting Application Using the Laravel Framework Ardiansyah, Ardiansyah; Rosid, Mochamad Alfan; Fitrani, Arif Senja
Procedia of Engineering and Life Science Vol 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1419

Abstract

Electronic voting is a form of voting that is often used for elections using electronic systems. However, at the time of implementation there was a lot of fraud that only intended for one of the parties. Therefore, a Web-Based Muhammadiyah Association E-Voting Application was created using the Laravel Framework. There is no need to use nails because the DPT (Permanent Voters List) only needs to touch the screen to vote for the elected candidate. This application uses the RFID technology feature to start voting, so that there are no more double votes from the same voter The results of the recapitulation will periodically change according to the number of votes that have been collected and stored in the database. So it is already necessary to calculate manually when the event ends. The results of the votes are automatically counted and processed by the program quickly and efficiently.
Information System For New Residents Registration Based On Web and Android Shiddiq, Zulfian Syahril; Rosid, Mochamad Alfan; Fitrani, Arif Senja; Hindarto, Hindarto
Procedia of Engineering and Life Science Vol 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1421

Abstract

The Suko Village is one of 24 villages in the Sidoarjo sub-district, Suko village is the second most populous village in the Sidoarjo sub-district, reaching 15 thousand people spread over 72 RTs. Geographically, the Suko village area is in the middle of the city which has led to many housing developments that have made Suko village a densely populated settlement, as well as a destination for residents outside the city of Sidoarjo to stop by and settle down.The purpose of this research is to design a Information System For Registration New Residents Based On Web and Android that can be accessed. The research method used is the waterfall method, while the technique for collecting data uses observation and interview techniques. The result of this research is to make the village government aware of all its citizens, including those who live not permanently and can record citizens efficiently and no longer use a manual system.
Bread Sales Information System at Satria Bread Shop Cahyani, Ravica Eka; Fitrani, Arif Senja
Procedia of Engineering and Life Science Vol 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1433

Abstract

In the current era of globalization, technological developments are progressing very rapidly so that with the advancement of this technology it can facilitate humans in various activities. In this research, a Web-Based Bread Sales Information System will be built at the Satria Roti Shop, Sidoarjo, which currently still uses the manual way of transacting with customers, so that customer service is still not optimal and efficient.The method used in this study is the waterfall method and software as follows: Visual code as an editor, React programming language, Javascript framework, Apache web server and MySQL as the database.This research will produce a Web-Based Bread Sales Information System at the Satria Roti Shop, Sidoarjo, which has an appropriate interface and can facilitate the process of selling bread transactions efficiently and practically.
Hardware Asset Recording Information System Based on Web at PT. ABC Syah, Naufal Galfan; Fitrani, Arif Senja
Procedia of Engineering and Life Science Vol 7 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1457

Abstract

PT. ABC is an IT company that focuses on the design, development, and maintenance of LAN and WAN networks, network routers, and websites. The company has many assets in the form of computer network devices that need to be recorded meticulously. Currently, asset recording is still done manually using Google Spreadsheet, which is considered less effective and time-consuming. In the rapidly evolving digital era, the utilization of technology and information systems has become crucial. The proper use of information systems can enhance efficiency in managing asset data and facilitate information access. Therefore, PT. Smart Connect requires further improvement in its information system for asset recording and reporting. The goal is to expedite the asset recording process and provide more detailed reports, thereby increasing efficiency and productivity in company asset management.
Extraction of EEG Signal Recording Features using Discrete Wavelet Transform (DWT) Method For Classification Of Ictal Epilepsy: Ekstraksi Fitur Rekaman Sinyal EEG menggunakan Metode Discrete Wavelet Transform (DWT) Untuk Klasifikasi Iktal Epilepsi Eviyanti, Ade; Fitrani, Arif Senja; Nisak, Umi khoirun
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.231

Abstract

Epilepsy is the most common neurological disorder in humans characterized by recurrent ictal (convulsions). Ictalism is defined as a sudden change in the electrical function of the brain, resulting in behavioral changes, such as loss of consciousness, jerky movements, loss of breath and temporary memory. Epilepsy is a chronic, non-communicable brain disease that affects about 50 million people worldwide. Electroencephalogram (EEG) signals contain important details regarding the electrical actions performed by the brain. EEG signal analysis is important for detecting diseases, one of which is epilepsy. However, these signals can be complex and require human expertise. The random, non-stationary behavior of the EEG signal makes ictal prediction difficult. So ictal detection and prediction is a very important issue. Various signal processing methods along with feature extraction are adapted to categorize EEG signal segments to obtain specific characteristics of the signal. The purpose of this paper is to improve the accuracy of the classification of epileptic ictal, then the EEG signal feature extraction is carried out so that the specific characteristics of the signal needed in the trial process are obtained. The study data used EEG signals from 24 patients from the CHB-MIT EEG public dataset from Children's Hospital, Boston. Signals were recorded from 23 epileptic children (of which 2 cases were obtained from the same child at 1.5 year intervals). The approach presented in this paper for feature extraction uses the Discrete Wavelet Transform (DWT) method to obtain the characteristics of the EEG signal, while for the classification process using the SVM method. It is hoped that the proposed method can detect epileptic ictal using EEG signal recording.
Co-Authors Ade Eviyanti Aditya Wira Utama Agustin, Erlina Ahmi Arifuadi Anggraeni, Anifah Warda ARDIANSYAH ARDIANSYAH Astutik, Ika Ratna Indra Bayu Rama Dhani Bimantoro, Riky Andreansyah Busono, Suhendro Cahyani, Ravica Eka Damara, Rivaldi Garindra Denny Hartanto Dewi Eka Safitri Dona Ardiansyah Eriyanto, Sandi Eko Eviyanti , Ade Fajar Suryansyah Fajrillah, Fajrillah Faqih, Ahmad Abdullah Fitriyanto, Ade Habibur Rahman Arjuni Hadi, Miftakhul Hartanto, Denny Hindarto Irwan Alnarus Kautsar Jagad Yudha Awali Lia Iftitah Linda Kushernawati Lukman Harun Iskandar M. Arsyil Adhi’im M. Purnomo Adji Saputro Marshal Sheva Aljunza Mauliana, Metatia Intan Mochamad Alfan Rosid Mochamad Rifqi Aminudin Muhamamad Wahyu Muhammad Assegaf Ba'alwi Muhammad Fadil Santoso muhammad Hendra Oktaviano Muhammad Muzayyin Muhammad, Khithoh Sabda Nikko Enggaliano Pratama Nurdyansyah Nurtia Suryani Pandi Rais Prasetyo, Heri Rahmi Aulia Barlian Refinda, Achmad Ainun Gusti Rohman Dijaya RR. Debby Amalia Azhari Satria Hidayahtullah Setiawan, Hamzah Shiddiq, Zulfian Syahril Silvie Nur Millah Sukma Aji Sumarno Sumarno Suprianto Syafaat, Dany Syah, Naufal Galfan Syahrorini, Syamsudduha Uce Indahyanti Umi Khoirun Nisak Wahidiyah Kurniawati Wahyu Setia Bintara Wirda Novarika Yulian Findawati Yusuf Raharja Zahputra, Aldy Trisza