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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Prosiding Semnastek Seminar Nasional Informatika (SEMNASIF) Computatio : Journal of Computer Science and Information Systems Prosiding Seminar Nasional Teknoka IJTI (International Journal Of Transportation And Infrastructure) Jurnal Teknoinfo Journal of Science Innovare Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Journal of Applied Sciences and Advanced Technology Jurnal Pengabdian kepada Masyarakat International Journal of Quantitative Research and Modeling Journal Of Human And Education (JAHE) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Journal of Engineering and Information Technology for Community Service Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Abdi Implementasi Pancasila: Jurnal Pengabdian kepada Masyarakat International Journal of Industrial Innovation and Mechanical Engineering
Adriana Sari Aryani
Department Of Computer Science, Universitas Pakuan Bogor
Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Penilaian Harapan dan Kepuasan Pelanggan Lembaga Penilaian Kesesuaian menggunakan MetodaImportance Performance Analysis Wiharthiko, Fajar Deli; Aryani, Adriana Sari; Subandi, Kotim; Tsaniyah, Legis; Sugara, Victor Ilyas; Hermawan, Hermawan
Journal Of Human And Education (JAHE) Vol. 4 No. 1 (2024): Journal Of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v4i1.560

Abstract

Sertifikasi merupakan bisnis kepercayaan sehingga hubungan antara pemberi jasa yakni Lembaga Penialaian Kesesuaian atau LPK dengan pelanggannya menjadi sangat istimewa. Kepuasan pelanggan adalah salah satu faktor penting yang terus dijaga dan dievaluasi dari waktu ke waktu. Perusahaan mitra Registra Indonesia adalah salah satu LPK dengan skala usaha kecil menengah memiliki komitmen untuk memelihara kepuasan pelanggannya, sehingga bersama dengan tim pengabdian masyarakat dari Universitas Pakuan telah membangun suatu sistem penilaian. Sistem penilaian kepuasan pelanggan dibangun berbasis sistem informasi yang terintegrasi dengan web sites Registra Indonesia. Sistem penilaian kepuasan pelanggan LPK Regista Indonesia telah diuji coba pada semester II tahun 2023, melalui pengumpulan pendapat dari 22 pelanggannya melalui GForm. Hasil analisis menggunakan metoda Importance Performance Analysis menunjukkan bahwa tingkat kepuasan pelanggan rata-rata 90.77% dari harapannya. Sehingga Wilcoxon Signed-Rank Test memastikan bahwa kepuasan pelanggan telah sesuai dengan harapannya.Seluruh factor penentu kepuasan pelanggan yang dievaluasi pada Semester II Tahun 2023 menunjukkan tingkat kepuasan Sangat Baik. Sementara evaluasi yang dilakukan berdasarkan jenis produk layanan menunjukkan posisi juga Sangat Baik, kecuali sertifikasi HACCP yang satu tingkat di bawahnya yakni Baik.
Implementation of Bidirectional Long Short Term Memory (BiLSTM) Algorithm with Embedded Emoji Sentiment Analysis of Covid 19 Anxiety Level and Socio Economic Community Marcelina, Jenie; Tosida, Eneng Tita; Aryani, Adriana Sari
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.682

Abstract

The COVID-19 pandemic has presented multidimensional challenges in Indonesia, significantly affecting social, economic, and public health at the level of anxiety. Public anxiety related to the pandemic can be reflected in online media, especially Twitter, which is the main channel for information sharing and emotional expression. This study aims to understand the level of public anxiety in relation to the aftermath of the COVID-19 pandemic by using a classification method. Classification is carried out using the Knowledge Discovery in Database method with the Bidirectional LSTM algorithm and emoji embedding sentiment analysis, and K-Fold Cross Validation testing is also carried out with various optimizers. The final result of the best accuracy rate obtained was 98.08%. This shows that the classification model created is good.
Pendampingan Penyusunan Kelayakan Penbangunan Pabrik Es Mini pada Koperasi Kelompok Nelayan di Selatan Sukabumi Edi Djatmika; Hermawan Hermawan; Adriana Sari Aryani; Kotim Subandi
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 2 (2025): Mei: NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v5i2.4507

Abstract

Post-harvest handling of fish requires an effective cold chain system, including the availability of ice factories, to preserve the quality and freshness of catches. The presence of an ice factory enables fishermen to bring ice during fishing trips, ensuring the catch remains safe for consumption. The planning of a portable mini ice factory in Ciwaru Village, located within the Ciletuh National Geopark, aims to maintain fish quality along the southern coast of West Java. Although several ice factories exist in Sukabumi Regency, their availability at fish landing sites such as the Ciwaru Fish Auction Place (TPI) remains insufficient. According to the Regulation of the Minister of Marine Affairs and Fisheries No. 2 of 2021, assistance for ice factory construction is provided to fishermen groups following a feasibility study submission. This community service project aims to assist fishermen cooperatives in improving cold chain management and preparing a feasibility study for ice factory development. Key issues identified include limited human resource competence, hygiene and sanitation challenges, feasibility study preparation, and internal communication enhancement within cooperatives. Solutions are implemented through training programs, cold chain method applications, feasibility analysis for mini ice factories, and the development of an information system for fishermen. The planned ice factory unit has a capacity of 1 ton per 8-hour cycle, supported by three freshwater wells near the site. Economic analysis reveals an NPV of Rp1,170,676,141, an IRR of 10.91%, and a Net B/C Ratio of 1.64, with a BEP at 311 tons/year, well below the installed capacity of 788 tons/year, confirming its economic viability. The resulting feasibility study will serve as the basis for applying for government assistance, complemented by scientific publications, national media coverage, video documentation, and intellectual property registration.
IMPLEMENTASI APLIKASI PENALARAN BERBASIS KASUS UNTUK IDENTIFIKASI PENYAKIT KEDELAI Aryani, Adriana Sari; Utami, Dian Kartika
Computatio : Journal of Computer Science and Information Systems Vol. 2 No. 2 (2018): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v2i2.2473

Abstract

Sistem Penalaran Untuk Identifikasi Penyakit Tanaman Kedelai berbasis Case Based Reasoning dapat dimanfaatkan untuk para pengguna umum. Sistem Penalaran Untuk Klasifikasi Data Tanaman Kedelai berbasis CBR dapat mengetahui nama penyakit dari tanaman Kacang Kedelai yang telah teridentifikasi serta mengetahui cara penanggulangannya. Sistem penalaran untuk klasifikasi data penyakit tanaman kacang kedelai berbasis CBR dibuat berbasis web agar dapat diakses oleh kalangan masyarakat luas kapanpun  dan dimanapun mereka berada. Kacang Kedelai yang telah teridentifikasi serta mengetahui solusi atau penanggulangan penyakit yang disarankan (direkomendasikan) dari hasil perhitungan similarity. Implementasi aplikasi penalaran berbasis kasus untuk identifikasi penyakit kedelai menggunakan bahasa pemrograman PHP (Hypertext Prepocessor) dan basisdata yang digunakan adalah MySQL. PHP benar-benar sederhana untuk dipahami dibandingkan dengan bahasa pemrograman lain. Sejak itu PHP adalah bahasa yang mudah dan kuat, telah banyak digunakan untuk membuat aplikasi berbasis web yang membutuhkan fungsionalitas maksimal dengan minimal coding. MySQL memiliki keunggulan yang pertama, yaitu merupakan salah satu jenis software yang protable, Software portable ini berarti MySQL bisa dijalankan untuk mengolah database multi platform.
Co-Authors Agung Prajuhana Putra Ahmad, Dinar Munggaran Anny Kartika Sari Arie Qur’ania Asep Saepulrohman Aya Hartina Dian Kartika Utami Dinar Munggaran Achmad Dinar Munggaran Ahmad Dinar Munggaran Akhmad Dinar Munggaran Akhmad Edi Djatmika Eneng Tita Tosida Gustian Rama Putra HERMAWAN Hermawan Hermawan Hermawan Hermawan Hermawan Hermawan I Wayan Sriyasa Irfan Wahyudin Irma Anggraeni Khotim Subandi Kotim Subandi Kotim Subandi Legis Tsaniyah, Legis Marcelina, Jenie Puspa Citra Sawarni Hasibuan Subandi, Kotim Sugara, Victor Ilyas Syarif Hidayatullah Victor Ilyas Sugara Victor Ilyas Sugara Wiharthiko, Fajar Deli Yulian Syahputri Yusma Yanti