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All Journal JURNAL IT: Media Infromasi STMIK Handayani Makassar Jurnal Teknologi Elekterika Gudang Jurnal Pengabdian Masyarakat Advances in Computer System Innovation Journal (ACSI Journal)
Arni, Sitti
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Implementasi Metode Iterative Dichotomizer 3 (ID3) Pada Seleksi Penerima Beasiswa Peningkatan Prestasi Akademik (PPA) Arni, Sitti
JURNAL IT: Media Infromasi STMIK Handayani Makassar Vol 7 No 2 (2016): Volume 7 Nomor 2, Desember 2016 IT JURNAL
Publisher : LPPM- STMIK HANDAYANI MAKASSAR

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

Abstract

agar  beasiswa  tidak  salah  sasaran. Seleksi  penerima beasiswa pada STMIK Profesional masih mengalami kendala pada  proses  pengambilan  keputusan, terutama jika beberapa mahasiswa yang mengajukan permohonan memiliki data yang tidak jauh berbeda sehingga keputusan penerima beasiswa terkesan dilakukan  secara  subyektif. Penelitian ini menggunakan algoritma  Iterative  Dichotomiser  3  (ID3). Pembentukan pohon klasifikasi dengan algoritma ID3  melalui  dua  langkah,  yaitu  menghitung  nilai  entropy  dan  menghitung  nilai information  gain  dari  setiap  variable. Penelitian ini bertujuan untuk membuat pola pemetaan hasil seleksi  penerima beasiswa peningkatan prestasi akademik menggunakan pohon keputusan dengan algoritma ID3.   Klasifikasi penentuan pola pemetaan hasil seleksi Penerima Beasiswa mengacu pada tujuh atribut data (IPK, Keterangan Aktif Kuliah, Penghasilan Orang Tua, Jumlah Anggota Keluarga yang terdaftar pada Kartu Keluarga, Identitas yang dimiliki oleh Mahasiswa, Pernyataan tidak menerima beasiswa dari sumber lain, dan Bukti mengisi FRS pada semester berjalan).   Adapun luaran yang dihasilkan dalam penelitian ini adalah  pengayaan bahan ajar matakuliah Teknik Riset Operasi, Sistem Pendukung Keputusan dan Data Mining, Poster dan  publikasi artikel pada jurnal lokal ber-ISSN : Jurnal Progres Edisi 2 September 2016.
GENETIC ALGORITHM-BASED OPTIMIZATION OF DISTRIBUTED GENERATOR PLACEMENT IN DISTRIBUTION NETWORKS TO MINIMIZE POWER LOSSES An-Nizha, Nurul; Sofyan, Sofyan; Sultan, Ahmad Rizal; Bachtiar, Muh. Imran; Muhammad, Umar; Arni, Sitti
Jurnal Teknologi Elekterika Vol. 21 No. 2 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v21i2.5101

Abstract

An increase in electrical energy can lead to an increase in power losses and a decrease in voltage in the system. One of the efforts made to reduce power losses that occur in the distribution network is by placing the optimal Distributed Generation (DG) in the right location. Installation of DGs with suboptimal capacity and placement location can result in greater active power losses and further reduce voltage stability. This study discusses the optimization of DG placement in the electric power distribution network using genetic algorithm methods that are known to be effective in solving complex optimization problems. The IEEE 33 bus distribution system, which is a standard system frequently employed in power flow research, was the subject of the case study. The Newton-Raphson method is a commonly used iterative method for power flow analysis due to its accuracy in calculating power flow in electrical networks. The research findings indicate that the most suitable location for two DG units with an injection power of 6,626 MW is on buses 3 and 4. The placement of this DG has the potential to substantially mitigate power losses within the distribution network. The placement of two DG units on buses 3 and 4 results in a more significant improvement in system power losses than the placement of DG units on other buses. Power losses of buses 3 and 4 experienced power losses of 67724.69 MW, while system losses were reduced by 1137621.21 MW, or 5.61 percent.
Sosialisasi Pkm Manajemen Usaha Coffee Shop Menggunakan Business Model Canvas Berbasis Internet Of Things Yulianto, Harry; Arni, Sitti; Syamsuri, Helmy
Gudang Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2025): GJPM - JANUARI
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjpm.v3i1.1229

Abstract

The growth of coffee shop businesses in Indonesia faces significant challenges, particularly for small and medium enterprises (SMEs) that often encounter limitations in business management, marketing, and technology adoption. This community engagement initiative aims to assist the "Latimojong" coffee shop in addressing these issues through the implementation of the Business Model Canvas (BMC) integrated with Internet of Things (IoT) technology. The activities were conducted through an interactively designed socialization process, including material presentation, discussions, and mentorship. Pre-test results indicated that participants' initial understanding averaged 36%, highlighting the need for capacity building in business management. Following the socialization, the post-test scores significantly improved, averaging 87%, representing a 141.67% increase. This improvement reflects the success of the socialization program in enhancing participants' understanding. Through this initiative, the "Latimojong" coffee shop was able to formulate a more strategic and efficient business model, strengthening its competitiveness in the local market. The implementation of IoT technology and social media-based digital marketing positively impacted operational efficiency and customer experience. This Community Engagement initiative serves as a replicable model for technology-based SME empowerment, potentially supporting sustainable local economic growth.
SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT MOBIL DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) PADA PT. ASTRA INTERNATIONAL TBK ISUZU MAKASSAR BRANCH Arni, Sitti; Yahya, Kurnia; Umar, Hendra; Merdewiningsi, Andi; Aziz, Firman
Advances in Computer System Innovation Journal Vol. 1 No. 1: Desember 2023, ACSI Journal
Publisher : Unit Publikasi Ilmiah Perkumpulan Intelektual Madani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51577/acsijournal.v1i1.447

Abstract

tujuan penelitian ini adalah untuk membuat suatu perangkat lunak yang diharapkan mampu membantu manager dalam pengambilan keputusan menentukan layak tidaknya seorang pelanggan menerima kredit. Perangkat lunak ini merupakan salah satu bentuk dari Sistem Pendukung Keputusan. Dalam penelitian ini dibangun perangkat lunak yang mengevaluasi kelayakan kredit pelanggan dengan menggunakan metode Analitycal Hierarchy Process dan sebagai alat bantu Pengambilan Keputusan bagi Perusahaan. Langkah-langkah dalam merancang sistem yang meliputi analisa sistem secara umum dan terperinci dengan menggunakan alat bantu Data Flow Diagram (DFD) dan membuat tampilan dan rancangan Basis Data menggunakan Microsoft Access 2007. Pengembangan Perangkat Lunak SPK Kredit menggunakan bahasa pemograman Microsoft Visual Basic 6.0. nilai untuk setiap komponen sama dengan bobot nilai standard Perusahaan.
Co-Authors Ahamad Rizal Sultan An-Nizha, Nurul Bachtiar, Muh. Imran Firman Aziz Harry Yulianto, Harry Helmy Syamsuri, Helmy Merdewiningsi, Andi Sofyan Sofyan Umar Muhammad Umar, Hendra Yahya, Kurnia