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All Journal Journal of Computer Networks, Architecture and High Performance Computing Informatics and Computer Engineering Journal Digital Transformation Technology (Digitech) DIPANEGARA KOMPUTER SISTEM INFORMASI (DIPAKOMSI)
Oktavianus, Michael
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Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science

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Aplikasi Sistem Informasi Repository Skripsi Berbasis Web Menggunakan Algoritma K-Means Pada Universitas Dipa Makassar Oktavianus, Michael; Khasmawaru, Khasmawaru; Nasaruddin, Nasaruddin
Digital Transformation Technology Vol. 4 No. 2 (2024): Periode September 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i2.4677

Abstract

Penelitian ini bertujuan untuk merancang dan membangun sistem informasi repository skripsi berbasis web di Universitas Dipa Makassar dengan menerapkan algoritma K-Means. Aplikasi ini dirancang untuk mempermudah mahasiswa dalam mencari dan mengakses referensi skripsi berdasarkan program studi, yang sebelumnya dilakukan secara manual dan memakan waktu. Algoritma K-Means digunakan untuk mengelompokkan skripsi berdasarkan kesamaan program studi dengan menghitung jarak antara data menggunakan metode Euclidean, sehingga setiap skripsi dikelompokkan ke dalam prodi yang sesuai. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi dalam pencarian referensi skripsi dan membantu pustakawan dalam pengelolaan dan pengarsipan data skripsi secara lebih terstruktur. Hasil dari penelitian ini diharapkan dapat memberikan kemudahan akses informasi akademik dan meningkatkan kualitas layanan di Universitas Dipa Makassar, khususnya dalam pelayanan akses dan pencarian skripsi mahasiswa.
The Implementation of Fuzzy Logic Algorithm In Android-Based Typhoid Fever Diagnostic Application Suryani; Ahyuna; Magfirah; Oktavianus, Michael; Marlina, Erni; Syam, Asrul; Faizal
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2064

Abstract

Typhoid fever is an infectious disease that causes death in Indonesia. This endemic disease has a high incidence rate and is a health problem related to the environment and sanitation. Problems due to limited time to consult directly with specialist doctors, it is not easy to consult with doctors at any time, and limited medical knowledge and experience, so it is difficult for the community to know and make an early diagnosis of the disease with symptoms of typhoid fever. This study created an Android-based application using a fuzzy logic algorithm for diagnosing typhoid fever. The application was built by adopting expert knowledge related to general and clinical symptoms that are often experienced by patients with typhoid fever, and data on the level of typhoid disease. Data collection was carried out through direct observation at the hospital and direct interviews with doctors. The data was processed to produce output in the form of diagnostic results and solution data recommended by the system. The application consists of 3 user levels, namely Admin who can process user data, Users who can diagnose their disease by inputting answers to questions in the application, and Experts who can process symptom data, disease level, and solution data. The research results are in the form of an application that can be used anytime as an alternative consultant that helps the community in diagnosing typhoid fever with output in the form of diagnostic results (negative typhoid, positive typhoid, or strong positive typhoid).
PERANCANGAN SYSTEM INFORMASI TOKO SERASIH UNTUK MEMPERMUDAH PELAPORAN PENJUALAN oktavianus, michael; Ramdani, Ibnu Zahran; Tobing, Ardyana Lumban; Nuryana, Syafta
Informatics and Computer Engineering Journal Vol 4 No 2 (2024): Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v4i2.4712

Abstract

Toko Serasih is a UMKM focused on the management, sales, purchase, promotion, and sale of daily goods. This research aims to develop a web-based information system design to enhance efficiency and solve operational problems. The research method used in the development of the information system for Toko Serasih includes interviews and direct observations of Toko Serasih to determine the system requirements needed for the information system design. The design created in this research encompasses the system development stages using the sequential linear method. The sequential linear method includes system requirements analysis, system design including use cases, database, and interface design, as well as system implementation and testing using black-box testing. The design carried out at Toko Serasih facilitates the seller or store admin in sales reporting, which includes stock management, transaction processes, and financial reporting. In addition, this web-based UMKM provides convenience for buyers in accessing promotions and product information available. The system testing using the black-box testing method shows that all implemented features function well according to user needs. The implementation of the web-based information system at Toko Serasih has proven effective in addressing existing operational performance issues. The designed system not only increases efficiency and accuracy in processing sales reports, including sales, purchases, and promotions at Toko Serasih. Thus, the information system at Toko Serasih is an appropriate solution to improve performance and competitiveness as an UMKM.
Aplikasi Sistem Informasi Repository Skripsi Berbasis Web Menggunakan Algoritma K-Means Pada Universitas Dipa Makassar Khasmawaru, Khasmawaru; Oktavianus, Michael; Nasaruddin, Nasaruddin
Digital Transformation Technology Vol. 4 No. 2 (2024): Periode September 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i2.4677

Abstract

Penelitian ini bertujuan untuk merancang dan membangun sistem informasi repository skripsi berbasis web di Universitas Dipa Makassar dengan menerapkan algoritma K-Means. Aplikasi ini dirancang untuk mempermudah mahasiswa dalam mencari dan mengakses referensi skripsi berdasarkan program studi, yang sebelumnya dilakukan secara manual dan memakan waktu. Algoritma K-Means digunakan untuk mengelompokkan skripsi berdasarkan kesamaan program studi dengan menghitung jarak antara data menggunakan metode Euclidean, sehingga setiap skripsi dikelompokkan ke dalam prodi yang sesuai. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi dalam pencarian referensi skripsi dan membantu pustakawan dalam pengelolaan dan pengarsipan data skripsi secara lebih terstruktur. Hasil dari penelitian ini diharapkan dapat memberikan kemudahan akses informasi akademik dan meningkatkan kualitas layanan di Universitas Dipa Makassar, khususnya dalam pelayanan akses dan pencarian skripsi mahasiswa.
KlasifikasiOpini Masyarakat Pada Facebook Terhadap Operator Seluler Menggunakan Metode K-Nearest Neighbor Dan Support Vector Machine Abrianto, M. Bagus; Hatman, Hary Junaidi; mirfan, mirfan; Oktavianus, Michael
DIPAKOMSI Vol. 17 No. 2 (2023): Jurnal Dipanegara Komputer Sistem Informasi (DIPAKOMSI)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Universitas Dipa Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36774/dipakomsi.v17i2.1513

Abstract

Dalam beberapa tahun terakhir jumlah pelanggan yang dilayani oleh operator seluler meningkat secara signifikan pada operator seluler Telkomsel, Indosat dan XL,Oleh karena itu media sosial menjadi media pilihan banyak orang untuk menyampaikan pesannya dan operator seluler telkomsel,indosat dan xl memilih Facebookdengan menggunakan metode klasifikasi K-Nearest Neighbors (KNN) dan metode Support Vector Machine (SVM). Hasil analisis menunjukkan bahwa implementasi metode SVM memiliki akurasi yang lebih baik dalam mengklasifikasikan sentimen pengguna terhadap operator seluler. Analisis sentimen mengungkapkan bahwa sentimen negatif mendominasi dibandingkan dengan sentimen positif pada setiap operator. Hal inimengindikasikan adanya kecenderungan masyarakat yang masih merasa ragu terhadap kualitas layanan operator seluler, Telkomsel, Indosat, dan XL, mungkin akibat dari berbagai faktor risiko dan kurangnya kepercayaan.
Co-Authors Abrianto, M. Bagus Ahyuna Erni Marlina, Erni Faizal Hatman, Hary Junaidi Khasmawaru, Khasmawaru Magfirah Nasaruddin Nasaruddin Nuryana, Syafta Ramdani, Ibnu Zahran SURYANI Syam, Asrul Tobing, Ardyana Lumban