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All Journal Jurnal Informatika Jurnal Ilmiah KOMPUTASI Jurnal Pengabdian UntukMu NegeRI Journal of Information Technology and Computer Science Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Journal of Information Technology and Computer Science (JOINTECS) Teknika: Engineering and Sains Journal Jurnal Sains dan Informatika Jurnal Ilmiah Soulmath : Jurnal Edukasi Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Jurnal Pengabdian Masyarakat IPTEKS Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Tekinkom (Teknik Informasi dan Komputer) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Academia Open Indonesian Journal of Cultural and Community Development Indonesian Journal of Law and Economics Review Jurnal Penelitian Sekolah Tinggi Ilmu Kesehatan Nahdlatul Ulama Tuban Jurnal Teknik Informatika (JUTIF) Community Empowerment JPM: JURNAL PENGABDIAN MASYARAKAT Proceedings Series on Physical & Formal Sciences PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Jurnal Algoritma Indonesian Journal of Islamic Studies Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) JOINCS (Journal of Informatics, Network, and Computer Science) SAGA: Journal of Technology and Information Systems Jurnal Penelitian Innovative Technologica: Methodical Research Journal PEDAMAS (Pengabdian Kepada Masyarakat) SAINTEK Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Internet and Software Engineering Prosiding Seminar Nasional Unimus Advances in Cancer Science Journal of Electrical Engineering Manajemen Pelayanan Kesehatan IJHCS Smatika Jurnal : STIKI Informatika Jurnal
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SISTEM INFORMASI MANAJEMEN MLIJO BERBASIS WEBSITE DAN MOBILE Fery Febbyanto; Irwan Alnarus Kautsar; Uce Indahyanti
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.825

Abstract

The term "Bakul Mlijo" is used by the people in Mojokerto to refer to itinerant vegetable traders because they generally use carts or baskets (baskets) as a place to put their wares. The term "Mlijo" probably comes from the Javanese language which means "profit". Mobile vegetable traders are a retail business that is included in the non-store retailer category (direct selling) which sells basic necessities such as vegetables, fruits and fish which are sold directly to the end consumer. The main purpose of development research is the development of new products or innovations and their effectiveness in achieving the goals set. Therefore, the R&D method is a very useful research method in product or tool development, including in tool design research and tool testing as described in the question. Bakul Mlijo uses information system technology for customer satisfaction. Mlijo customers shop easily and without much time and can make purchases using payment methods. This system can facilitate mlijo operations such as answering questions about prices and so on, because all information related to goods has been prepared in the mlijo application. This research contributes to the development of services to customers and facilitates the marketing of Bakul Mlijo merchandise.
Sentiment Analysis of Potential Presidential Candidates 2024: A Twitter-Based Study Yulian Findawati; Uce Indahyanti; Yunianita Rahmawati; Ratih Puspitasari
Academia Open Vol 8 No 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.7138

Abstract

This study aims to analyze the sentiment towards potential presidential candidates for the 2024 election in Indonesia based on Twitter users' opinions. Three prominent figures, Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto, were surveyed to gauge their electability. Using machine learning classification methods, Support Vector Machine, Bernoulli Naïve Bayes, and Logistic Regression, sentiment classification was performed. The findings indicate that Twitter users expressed predominantly positive sentiments towards each potential candidate. The evaluation of the classification algorithms showed SVM with 84% accuracy, Bernoulli Naïve Bayes with 77%, and Logistic Regression with 84%. This research sheds light on public sentiment towards potential leaders, offering valuable insights for political strategists and decision-makers in shaping effective election campaigns. Highlight: Sentiment Analysis: The study employs machine learning techniques to analyze the sentiments expressed by Twitter users towards potential presidential candidates for the 2024 election in Indonesia. Positive Sentiments: The findings reveal that Twitter users predominantly exhibit positive sentiments towards all three potential candidates, Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto. Election Insights: This research provides valuable insights into public sentiment, offering valuable information for political strategists and decision-makers in devising effective election campaigns for the upcoming presidential election. Keyword: Sentiment Analysis, Twitter Users, Potential Presidential Candidates, Machine Learning, Election 2024
Perancangan Sistem Ujian Online Berbasis Web Menggunakan Metode Waterfall Aris Hendra Prayoga; Uce Indahyanti
Prosiding Sains dan Teknologi Vol. 2 No. 1 (2023): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 2 - Februari 2023
Publisher : DPPM Universitas Pelita Bangsa

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

Abstract

Penerapan teknologi pada zaman sekarang yang sangat berkembang tentunya banyak diterapkannya teknologi terutama dalam bentuk sistem informasi dibeberapa bidang khususnya dalam bidang pendidikan. Adapun instansi atau tempat yang belum menerapkan teknologi dalam bentuk sistem informasi. Seperti halnya pada SDN SUGIHWARAS yang masih menggunakan cara manual dalam mengelola data khususnya dalam data ujian. SDN SUGIWARAS saat ini sangat membutuhkan sebuah sistem informasi dikarenakan SDN SUGIWARAS Penilaian tanpa adanya metode pendukung keputusan maka keputusan akhir akan melibatkan pendapat manusia yang besar, dengan kata lain penilaian tersebut menjadi subjectif. Dengan adanya teknologi informasi, pergeseran model belajar telah mengubah paradigma guru dan siswa dalam proses belajar mengajar, seperti misalnya ujian tidak lagi dilaksanakan secara manual namun mengalami transformasi dengan memanfaatkan teknologi informasi untuk mengoptimalkan kegiatan ujian. Keuntungan yang ditawarkan dari sebuah pelaksanaan ujian yang terkomputerisasi adalah kecepatan dan kemudahan dalam proses pemberian skor. Penguji tidak lagi melakukan pemeriksaan satu persatu pada lembar jawaban peserta kemudian menghitung skor melainkan nilai telah tersedia oleh perangkat lunak dalam basis data dengan penghitungan otomatis berdasarkan jawaban dari peserta. Keuntungan lain yang bisa diperoleh adalah pengurangan penggunaan kertas serta pengurangan bentuk kecurangan yang dilakukan peserta. Waktu dan tempat pelaksanaan dapat diatur sedemikian rupa sehingga menyulitkan bagi peserta untuk melaksanakan tindak kecurangan. Metode untuk membuat sistem tersebut menggunakan metode waterfall dan metode pengumpulan data dengan cara observasi serta wawancara. Sistem informasi memiliki peranan penting dalam pengembangan sistem ujian yang akan diterapkan sehingga dapat meningkatkan mutu sekolah. Penelitian ini menghasilkan sebuah sistem informasi ujian berbasis web yang dapat membantu mempermudah dalam mengelola nilai.
Model Prediksi Kerentanan Menggunakan Mobile Tracking Pada Pasien Terinfeksi Covid 19 Nuril Lutvi Azizah; Uce Indahyanti; Cindy Cahyaning Astuti
Prosiding Seminar Nasional Unimus Vol 3 (2020): Optimalisasi Hasil Penelitian dan Pengabdian Masyarakat Menuju Kemandirian di Tengah P
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Aplikasi berbasis mobile dan web telah dihasilkan pada penelitian sebelumnya guna memberikan informasi keberadaan pasien terinfeksi positif Covid 19 di lingkungan sekitar. Penelitian tersebut berdasarkan peta lokasi pasien baik melalui bluetooth maupun GPS pada gawai yang dimiliki, akan tetapi kekurangannya adalah efisiensi penggunaan aplikasi mobile tracking masih belum optimal karena sifatnya berupa informasi lokasi. Oleh karena itu penelitian ini bertujuan untuk meningkatkan efisiensi penggunaan aplikasi mobile tracking pada pasien terinfeksiCovid 19 dengan cara memprediksi kerentanan personal tertular virus Covid 19 berdasarkan mobile tracking GPS pada pasien yang terinfeksi berdasarkan data. Tahapan metode yang akan dilakukan dimulai dari tracking pasien terinfeksi Covid 19 berdasarkan posisi tempat tinggal, kemudian diprediksi melalui model matematika berdasarkanjarak dan prosentase penularan. Prediksi kerentanan personal terjadi dalam inisiasi prediksi berupa rentan, cukup rentan, dan aman. Personal dikatakan rentan apabila prosentase yang dihasilkan sekitar 90%-100%, cukup rentan apabila hasil prosentase antara 75%-89%, dan kurang dari 75% personal dianggap masih aman. Hasil prediksi kerentanan ini dipengaruhi oleh banyak variable antara lain berupa jarak personal dengan pasien terinfeksi Covid 19, ketelitian GPS, serta imunitas personal.  Kata Kunci : kerentanan, mobile tracking, efisiensi, prediksi
Integrasi Aplikasi Monitoring dan Transaksi Pembayaran pada Kantin Sekolah Suseno Ardiansyah; Irwan Alnarus Kautsar; Uce Indahyanti; Sumarno Sumarno
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.v1i1.2476

Abstract

Kontrol dan peran orang tua terhadap makanan yang dikonsumsi oleh anak sangatlah penting karena berkaitan dengan pertumbuhan anak. Banyaknya zat berbahaya yang mengancam metabolisme anak karena masih rentan penyakit akibat mengonsumsi makanan berbahaya tanpa pengawasan orang tua. Perlu adanya sistem informasi yang terintegrasi dengan transaksi pembayaran pada kantin sekolah. Penelitian ini bertujuan untuk menciptakan sistem dengan mengoptimalkan pemantauan konsumsi makanan anak di lingkungan sekolah secara lebih efisien dan akurat menggunakan data hasil transaksi pembelian. Metode pengembangan Agile Development Scrum dan pengujian metode Blackbox pada proses penelitian kali ini. Dengan penelitian ini hasil pengujian dapat disimpulkan bahwa dengan sistem tekomputerisasi orang tua dapat memonitoring transaksi pembelian makanan anak pada kantin sekolah. Integrasi aplikasi monitoring dan transaksi pembayaran diharapkan menjadi solusi untuk memonitoring transaksi pembelian makanan anak.
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
Klasifikasi Penipuan pada Rekening Bank menggunakan Pendekatan Ensemble Learning Maghfiroh, Alfiah; Findawati, Yulian; Indahyanti, Uce
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3212

Abstract

Accounts are a collection of numbers commonly used for all transactions in the banking world, from saving, withdrawing cash, to checking account balances either directly or online using m-banking. In bank accounts and the process of opening them, there are various kinds of criminal acts committed by individuals and groups. As a bank's obligation to prevent crime so that it can provide trust to the community. In an effort to prevent criminal acts of fraud can be solved using data mining techniques, namely classification. The purpose of classification is to predict the class label of an object based on existing attributes. The classification methods used in this research are extreme gradiant boosting (XGBoost) and random forest on 22029 records. In the classification process, this study uses a percentage ratio of 90% train data and 10% test data and tuning parameters processed by randomized search cross validation. The research stages start from preprocessing to evaluation and get a train score of 99.50% and a test score of 99.59% for extreme gradiant boosting (xgboost) while random forest gets a train score of 99.46% and a test score of 99.59%. These results show that the classification results of extreme gradiant boosting (XGBoost) are better than random forest.
Development of ETS (E-Ticketing System) Module for Issue Management : Pembuatan Modul ETS (E-Ticketing System) untuk Manajemen Kendala Syamsuddin, Muhammad; Indahyanti, Uce
Procedia of Engineering and Life Science Vol. 5 (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.v7i0.1586

Abstract

This study proposes the integration of an Employee Tracking System (ETS) module within a logistics company's existing web application to streamline internal management processes. Focused on a one-month internship, the research aims to address the inefficiencies of conventional communication methods by facilitating real-time issue tracking and resolution. Through collaboration between academia and industry, the study explores the practical implementation of information technology solutions to enhance organizational communication and problem-solving. Results indicate improved communication efficiency and problem resolution within the organization, highlighting the potential of such systems to contribute to the evolution of information technology in the workplace. Highlights : Implementation of ETS module improves communication efficiency. Collaboration between academia and industry addresses practical challenges. Integration of technology enhances problem-solving within organizations. Keywords: Organizational Communication, Employee Tracking System, Information Technology, Logistics Industry, Collaboration
THE EFFECT OF SYSTEM QUALITY ON THE USE OF HOSPITAL MANAGEMENT INFORMATION SYSTEMS AT THE 'AISYIYAH SITI FATIMAH HOSPITAL, SIDOARJO Hadikasari, Alfinda Ayu; Indahyanti, Uce; Cholifah, Cholifah; Nisak, Umi Khoirun
Jurnal Penelitian Sekolah Tinggi Ilmu Kesehatan Nahdlatul Ulama Tuban Vol. 4 No. 1 (2022): JURNAL PENELITIAN
Publisher : Institut Ilmu Kesehatan Nahdlatul Ulama Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.927 KB) | DOI: 10.47710/jp.v4i1.163

Abstract

Based on initial data obtained from Aisyiyah Siti Fatimah Hospital, Tulangan Sidoarjo, the use of SIMRS in the hospital is still not optimal, which is only 60% of the features provided. The purpose of this study was to analyze the influence of human resource factors and technological suitability on the utilization of hospital management information systems with a case study at the Hospital 'Aisyiyah Siti Fatimah Tulangan Sidoarjo. The type of research is quantitative research and the research design is causal associative research with the HOT Fit method approach. The data used is primary data by distributing questionnaires to SIMRS users. The sample size is 108 SIMRS users at the Hospital 'Aisyiyah Siti Fatimah Tulangan Sidoarjo. Samples were taken by simple random sampling with lottery technique and then recapitulation of data was then presented in the frequency tabulation table and tested by simple linear regression using SPSS.The results of the study using a simple linear regression test were the influence between the quality of the system and the use of the system on the hospital management information system at the Hospital 'Aisyiyah SIti Fatimah Tulangan Sidoarjo with a significance value (p) of 0.0001 then the value (p) <0.05 so that H0 is rejected, which means that there is a real or significant effect between system quality variables and system use.
Implementation of HSI and LBP Feature Extraction for Identification of Broccoli Quality with F-KNN Findawati, Yulian; Suryani, Siti Dwi; Indahyanti, Uce; Khubro, Jamaluddin Jumadil
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92582

Abstract

This study proposes a method of searching for broccoli quality based on imagery using the Fuzzy K-nearest neighbor (F-KNN). Broccoli is used because it is a type of herbaceous vegetable that has a unique color and shape so visual assessment is still limited. The data used in this study were taken from 2 cities in Indonesia, Pasuruan and Malang Regency which consisted of good quality and bad quality. The total data used is 120, each quality comprising 60 images. In the pre-processing process, several stages are carried out to proceed to the next process. Feature extraction is done through algorithms, namely HSI (Hue, Saturation, and Intensity) and LBP (Local Binary Pattern), which are then divided into training and testing data. F-KNN is used as a classification. The accuracy obtained from this study reached 94.4%. This value indicates that the use of both feature extraction and classification algorithms produces good accuracy in the training and testing data with a 40:60 scenario. This result showed the potential of the feature extraction and F-KNN algorithm when classifying a large number of broccoli qualities.
Co-Authors Abidin, Husnul Ade Eviyanti Ade Eviyanti Aditya, M. Fahrul Rizki Afidah, Dewi Nur Aisha Hanif Alfinda Ayu Hadikasari Anis Farihah, Anis Ariansyah, Achmad Arif Senja Fitrani Arif Senja Fitroni Aris Hendra Prayoga Astutik, Ika Ratna Indra Awalludin, Krisna Azizah, Risma Nur Azmuri Wahyu Azinar Berlian Putri Pertiwi Busono, Suhendro Cecep Kusmana Cholifah, Cholifah Cholifah, Cholifah Cindy Cahyaning Astuti Dafit Setiawan Jaya Damasta, Ifanda Reza Deby Kurniawan Armananda Dewi Komala Sari Edi Widodo, Edi Eko Agus Suprayitno Eriyanto, Sandi Eko Fahmawati, Zaki Nur Fahmi, M. Yusril Fery Febbyanto Firdausi Usqi Salsabilah Firmansah, Noval Fitri Nur Latifah Fitroni, Arif Senja Hadikasari, Alfinda Ayu Hamzah Setiawan Ika Ratna Indra Astutik Irwan Alnarus Kautsar Khubro, Jamaluddin Jumadil Krisfianto, Moh Ifan Krisnaningsih, Diah Kurniawan, Wildan Lely Ika Mariyati Lily Puspa Dewi Maghfiroh, Alfiah Malihatin S, Ulfah Mauliana, Metatia Intan Metatia Intan Mauliana Moch. Aji Bagus Firmansyah Mochamad Alfan Rosid Mochammad Donni Kurniawan Muhammad Arsyad Dhani Muhammad Syamsuddin Nisak , Umi Khoirun Novia Ariyanti Nuril Lutvi Azizah Pertiwi, Berlian Putri Prayugah, Indra Putra, Rolando Jordan Permana Rafiiqa, Tasya Ramdansyah, Adiffanani Ratih Puspitasari Rohman Dijaya Rolando Jordan Permana Putra Setiawan, Hamzah Siti Nur Haliza Suhendro Busono Suhendro Busono Sukarjadi Sukarjadi Sumadyo, Sasmito Bagus Sumarno Sumarno Suryani, Siti Dwi Suseno Ardiansyah Syahrul Ibnu Rafi Tutut Anjarsari Umi Khoirun Nisak Usabili, Syaikhina Vevy Liansari via nabila banda Wahyu Santoso Yahya Anugerah Dwi Khurrota A'yunan Yoyok Supriyono Yulian Findawati Yulius Hari Yunianita Rahmawati Yunianita Rahmawati, Yunianita Yuwanto, Mahmud Adi Zaki Nur Fahmawati Zamorano, Ifan