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Penerapan Aplikasi Pelayanan Desa untuk Implementasi Smart Village di Desa Mangunjaya Mayadi, Mayadi; Priatna, Wowon; Setiawati, Siti
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 1 (2023): Januari 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ja811v22

Abstract

Desa Mangunjaya , which is located at Jalan Pendidikan 1 No.13 Mangunjaya, South Tambun District, Bekasi, West Java 17510, is still developing information technology. This village in conveying information is still done manually so that the potential of the village is less published, with that the village community still has difficulty receiving information from the village government and conveying various suggestions and aspirations of the community. In conveying information it is still done manually so that the potential of the village is not published. The problem faced by Mangunjaya village is that the community has difficulty in getting information and complaints in conveying aspirations to the village. The making of certificates is still carried out by the community directly to village officials. The goal in this PKM is to implement a smart village to make the village digitized by designing the Village Service application to make it easier to submit letters from villagers. The method in Community Service is to design an application and conduct socialization for the use of the Application to the community, RT, RW and Village Officials. The result of this PKM is that the Village service application to support Smart Village can be used and training has been carried out for using the Application.
SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN LANGSUNG TUNAI (BLT) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) BERBASIS WEBSITE Sari, Rafika; Subarkah, Subarkah; Setiawati, Siti; Fitri, Diah Angraina
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 10 No. 2 (2022): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37971/radial.v10i2.296

Abstract

Abstrak: Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai (BLT) Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Website. Bantuan Langsung Tunai (BLT) merupakan salah satu program bantuan bersyarat dari pemerintah sebagai bentuk kompensasi dari kenaikan harga Bahan Bakar Minyak (BBM). Pada tahap seleksi calon penerima (BLT) belum sepenuhnya tepat sasaran karena masih dilakukan secara manual sehingga banyak yang belum tepat sasaran. Berdasarkan hal ini maka dilakukan penelitian untuk merancang sebuah sistem pendukung keputusan yang akan mempermudah dalam pengecekan data calon warga yang berhak menerima dana BLT secara otomatis untuk setiap penyalurannya. Sehingga proses seleksi dapat lebih objektif, efisien waktu dan dapat meminimalisir kesalahan seleksi yang mungkin timbul dalam pemilihan calon penerima BLT. Pada penelitian ini digunakan metode Simple Additive Weighting (SAW). Data sampling yang gunakan adalah data Kepala Keluarga di Desa Satria Jaya Kecamatan Tambun Utara Kabupaten Bekasi. Proses perhitungan menggunakan algoritma SAW dan inplementasi sistem berbentuk Website dengan metode waterfall memberikan hasil yang baik dan akurat. Analisisa yang diberikan didasarkan pada hasil perkalian dan penjumlahan matriks ternormalisasi dengan nilai bobot yang telah ditentukan. Penentuan range nilai akhir 0 – 0.75 sebagai nilai yang digunakan untuk penentuan kelayakan calon penerima BLT berdasarkan observasi lapangan di desa tersebut. Hasil simulasi perhitungan data calon penerima BLT dengan menggunakan algoritma SAW menghasilkan 25% hasil simulasi data yang diuji merupakan penduduk yang lolos sebagai penerima bantuan BLT. Kata kunci: Bantuan Langsung Tunai (BLT); Sistem Pendukung Keputusan; Simple Additive Weighting (SAW); website. Abstract: Decision-Making System for Recipients of Direct Cash Aid (BLT) Using the Website-Based Simple Additive Weighting (SAW) Method. Direct Cash Aid – Bantuan Langsung Tunai (BLT) is a conditional assistance program from the government as a form of compensation for rising fuel oil prices – Bahan Bakar Minyak (BBM). At the selection stage of prospective recipients (BLT) it was not fully on target because it was still done manually so that many were not on target. Based on this, research was carried out to design a decision support system that would make it easier to check data on prospective residents who are entitled to receive BLT funds automatically for each distribution. So that the selection process can be more objective, time efficient and can minimize selection errors that may arise in the selection of prospective BLT recipients. In this study, the Simple Additive Weighting (SAW) method was used. The sampling data used is data from the head of the inhabitant in Satria Jaya Village, Tambun Utara District, Bekasi. The calculation process uses the SAW algorithm and the system implementation in the form of a Website with the waterfall method gives good and accurate results. The analysis given is based on the results of multiplication and addition of normalized matrices with predetermined weight values. Determination of the final value range of 0 – 0.75 as the value used to determine the eligibility of prospective BLT recipients based on field observations in the village. The simulation results for calculating data on prospective BLT recipients using the SAW algorithm yielded 25% of the simulated results of the tested data being residents who passed as BLT aid recipients. Keywords: Direct Cash Aid (BLT); Decision Support System; Simple Additive Weighting (SAW); website
Jurnal Peningkatan Kapasitas SDM sebagai Upaya Mendorong Kinerja Keuangan UMKM pada Suku Dinas Perindustrian, Perdagangan, Koperasi, Usaha Kecil dan Menengah (PPKUKM) Jakarta Selatan Yudistira, Syah Dimas; Hernando, Yose; Marta T, Yoga; Setiawati, Siti; Juliani, Juliani; Agustina, Mogi; Sri, Retnaning
Jurnal Abdi Masyarakat Humanis Vol. 6 No. 2 (2025): Jurnal Abdi Masyarakat Humanis
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jamh.v6i2.54581

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memainkan peran penting dalam perekonomian Indonesia, namun banyak yang menghadapi tantangan dalam mengelola keuangan mereka yang dapat menghambat pertumbuhannya. Salah satu tantangan utama yang dihadapi oleh UMKM adalah keterbatasan keterampilan dalam manajemen keuangan, pembukuan, dan penganggaran modal yang efektif. Kurangnya pemahaman mengenai pentingnya manajemen keuangan yang baik menyebabkan kesulitan dalam pengelolaan arus kas, pendanaan modal, dan laporan keuangan yang transparan. Program pengabdian ini bertujuan untuk meningkatkan kapasitas sumber daya manusia (SDM) UMKM melalui pelatihan dan mentoring yang berfokus pada pengelolaan keuangan, serta penggunaan teknologi untuk mendigitalisasi laporan keuangan mereka. Pelatihan ini meliputi manajemen arus kas, pembukuan efisien, penganggaran modal, serta penerapan teknologi akuntansi berbasis cloud. Selain itu, mentoring akan diberikan secara berkelanjutan untuk memastikan bahwa hasil yang dicapai dapat dipertahankan dalam jangka panjang. Diharapkan dengan adanya pelatihan ini, UMKM dapat meningkatkan kinerja keuangan mereka, mengelola arus kas dengan lebih baik, serta memanfaatkan teknologi untuk mendigitalisasi laporan keuangan, yang pada gilirannya dapat memperbaiki akses mereka terhadap pembiayaan formal dan mendukung keberlanjutan usaha.
Perancangan Aplikasi Enkripsi dan Dekripsi Gambar Cetak Biru Pada PT. Patco Elektronik Teknologi Menggunakan Algoritma RSA Berbasis Android Arafat Bagoes Setyawan; Muhammad Khaerudin; siti setiawati
NUANSA INFORMATIKA Vol. 18 No. 2 (2024): Nuansa Informatika 18.2 Juli 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i2.145

Abstract

PT. Patco Elektronik Teknologi, a leading company in the Electronics industry, urgently needs to enhance the security of blueprint mold data in its Moldshop division. The process of mold repair using CNC machines requires secure access to the company's standard blueprint drawings. Hence, this study aims to develop an Android-based application for encrypting and decrypting blueprint images using the Rivest Shamir Adleman algorithm. It also addresses challenges such as budget constraints, Android device availability, and data security. The method chosen, Rivest Shamir Adleman, is renowned for its asymmetric cryptography and will be implemented in the Android application for securing blueprint images. The research successfully resulted in the creation, implementation, and testing of the Rivest Shamir Adleman Android application. Testing demonstrated that the program can efficiently encrypt and decrypt blueprint images, with encryption averaging 4 to 15 seconds and decryption 2 to 5 seconds using this method. By employing Rivest Shamir Adleman, the application ensures high-level security for blueprint image files.
Analysis of the Actviness Library Members Using K-Means Clustering Fedorova, Oxana; sari, rafika; Setiawati, Siti
Journal of Engineering and Scientific Research Vol. 7 No. 2 (2025)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jesr.v7i2.221

Abstract

University libraries play an important role in supporting academic activities, but the trend toward digital information access has made physical services less than optimal. At Bhayangkara University Jakarta Raya, data shows a difference between the frequency of visits and book borrowing, so user segmentation is needed. This study aims to group library members based on their level of activity using the K-Means Clustering algorithm, with variables of visit frequency and borrowing. The method used is quantitative with a data mining approach, utilizing secondary data from the library system for the period May–December 2024. The analysis process includes *data preparation*, modeling using *K-Means*, and evaluation using the *Davies-Bouldin Index (DBI)*. The results show that the optimal number of clusters is three, with a DBI value of 0.628, indicating that the cluster quality is quite good. The three clusters formed are: Active Borrowers (high visits and loans), Active Non-Borrowers (high visits, low loans), and Passive Members (low visits and loans). The uniqueness of this study lies in the simultaneous combination of two user behavior variables. This segmentation is useful as a basis for developing a performance portfolio and library service strategies that are more effective and tailored to user needs.