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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi Nusantara Hasana Journal Journal of Practical Computer Science (JPCS) Jurnal Informatika Progres Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Suardi Hi Baharuddin
STMIK Profesional Makassar
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Nursing

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IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR TERHADAP PENENTUAN RISIKO KREDIT USAHA MIKRO KECIL DAN MENENGAH Ida; Suardi Hi Baharuddin; Muhammad Faisal; Nur Ramadhan; Darniati
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.163

Abstract

This research was carried out in the context of implementing the K-NN algorithm so that a source of information can be produced as a basis for supporting decisions on initial credit applications by customers so that they can help cooperative managers more as knowledge of the progress of credit proposals that are carried out at the Micro, Small and Medium Enterprise Cooperative Service Office ( SMEs) South Sulawesi Province. The K-Nearest Neighbor algorithm is used to classify objects based on attributes and training samples. Among them, from k objects, the k-Nearest Neighbor algorithm uses neighbor classification as the predicted value. The results show that the algorithm produces a classification with a faster calculation time based on the prediction of customer data resulting from the calculation.
STUDENT SATISFACTION ANALYSIS OF ADMINISTRATIVE SERVICE PERFORMANCE AT PROFESSIONAL STMIK Kurnia Yahya; Suardi Hi Baharuddin; Satriawaty Mallu; Nasaruddin
Nusantara Hasana Journal Vol. 2 No. 12 (2023): Nusantara Hasana Journal, May 2023
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v2i12.851

Abstract

This study aims to determine student satisfaction with STMIK Professional Academic Administration Services based on Tangibles, Responsiveness, Reliability, Empathy, and Assurance aspects. descriptive with a quantitative approach. The population of this study was 454 students of the 2018-2021 STMIK Professional class. The sampling technique was carried out by proportional stratified random sampling. The sample size is 100 people. The data collection technique used an attitude scale. The data analysis technique used a trend test and the percentage of the frequency distribution of each aspect of satisfaction
Aplikasi Penentuan UMKM Terbaik Sekabupaten Kepulauan Selayar Sulawesi Selatan Menggunakan Metode Weighted Product Muhammd Faisal; Suardi Hi Baharuddin
Journal of Practical Computer Science Vol. 3 No. 1 (2023): Mei 2023
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v3i1.2368

Abstract

Merujuk pada Undang-Undang Nomor 20 Tahun 2008 tentang Usaha Mikro, Kecil, dan Menengah, UMKM alias usaha mikro adalah usaha milik perseorangan atau badan usaha perorangan yang produktif dan memenuhi kriteria yang ditulis oleh undang-undang. Tujuan penelitian ini adalah untuk Memanfaatkan peran teknologi dalam pengaplikasian penentuan UMKM terbaik pada DINAS PERIMDAGKUM Kabupaten Kepulauan Selayar. Metode Weighted Produk dapat digunakan dalam proses pengambilan keputusan berbasis multi kriteria. Penerapan metode Weighted Product didalam penentuan kinerja UMKM dengan menggunakan kriteria penilaian berupa jumlah karyawan, aset karyawan omset pertahun, pemodal, terget pasar, sistem pemasaran, karakter produk. Hasil yang dicapai pada penelitian ini adalah membangun sebuah aplikasi sistem pendukung keputusan dalam penentuan status UMKM terbaik yang diterapkan pada DINAS PERIMDAGKUM Kabupaten Kepulauan Selayar secara akuntable dan objektif
ANALISIS KINERJA WEBSITE PARAMA PELINDO MENGGUNAKAN PINGDOM TOOLS DAN PAGESPEED INSIGHTS Nurul Qalbi Haeruddin; Muhammad Rahmat Faizal; Suardi Hi Baharuddin
PROGRESS Vol 15 No 1 (2023): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v15i1.365

Abstract

This study analyzes the performance of a website for one of the companies, namely PARAMA Pelindo, using Pingdom Tools and PageSpeed Insights. This research aims to improve the performance of the PARAMA website in order to improve user experience. The results of the PARAMA website performance analysis show certain things that need to be improved in testing using pingdom tools and PageSpeed Insights. This research contributes to understanding the importance of analyzing the performance of a website and provides practical recommendations for web developers in improving website performance in general.
ANALISIS KINERJA WEBSITE PARAMA PELINDO MENGGUNAKAN PINGDOM TOOLS DAN PAGESPEED INSIGHTS Nurul Qalbi Haeruddin; Muhammad Rahmat Faizal; Suardi Hi Baharuddin
PROGRESS Vol 15 No 1 (2023): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v15i1.365

Abstract

This study analyzes the performance of a website for one of the companies, namely PARAMA Pelindo, using Pingdom Tools and PageSpeed Insights. This research aims to improve the performance of the PARAMA website in order to improve user experience. The results of the PARAMA website performance analysis show certain things that need to be improved in testing using pingdom tools and PageSpeed Insights. This research contributes to understanding the importance of analyzing the performance of a website and provides practical recommendations for web developers in improving website performance in general.
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR TERHADAP PENENTUAN RISIKO KREDIT USAHA MIKRO KECIL DAN MENENGAH Ida; Suardi Hi Baharuddin; Muhammad Faisal; Nur Ramadhan; Darniati
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.163

Abstract

This research was carried out in the context of implementing the K-NN algorithm so that a source of information can be produced as a basis for supporting decisions on initial credit applications by customers so that they can help cooperative managers more as knowledge of the progress of credit proposals that are carried out at the Micro, Small and Medium Enterprise Cooperative Service Office ( SMEs) South Sulawesi Province. The K-Nearest Neighbor algorithm is used to classify objects based on attributes and training samples. Among them, from k objects, the k-Nearest Neighbor algorithm uses neighbor classification as the predicted value. The results show that the algorithm produces a classification with a faster calculation time based on the prediction of customer data resulting from the calculation.
Co-Authors Darniati Inal, Darniati Ida Mulyadi Kurnia Yahya Muhammad Faisal Muhammad Rahmat Faizal Nasaruddin Nur Ramadhan Nurul Qalbi Haeruddin Satriawaty Mallu