Available Online since September 30, 2018

JSIKTI: Journal of Information Systems and Applied Computer Technology Indonesia, Volume 1, Number 1 (September 2018) marks the inaugural issue of the journal, bringing together research contributions from several leading academic institutions, including Universitas Respati Yogyakarta, Universitas Gadjah Mada, STMIK STIKOM Indonesia, Universitas Nusa Cendana Kupang, STMIK Balikpapan, Universitas Pendidikan Ganesha, and the Computer and Sciences Association (INFOTEKS).
This first issue presents innovative studies in applied computer science and information systems, covering topics such as Android-based service applications, decision support systems using AHP, PROMETHEE, and BORDA methods, multi-criteria decision-making for scholarship selection, and tourism forecasting using Long Short-Term Memory (LSTM). The collection of articles demonstrates an early commitment to bridging academic research with practical technological solutions across various domains.
Through interdisciplinary collaboration and a focus on real-world applications, this volume establishes JSIKTI’s mission to promote the development and dissemination of applied information system research in Indonesia and beyond.
Published: 2018-09-30
Articles
Rancang Bangun Aplikasi Location Based Service Butik Berbasis Android
1-12
DOI : https://doi.org/10.33173/jsikti.7 Abstract views: 1675 , pdf downloads: 1063Sistem Pendukung Keputusan Kelompok Pemilihan e-commerce/marketplace menggunakan metode profile matching dan BORDA
13-24
DOI : https://doi.org/10.33173/jsikti.9 Abstract views: 3140 , pdf downloads: 2836Sistem Pendukung Keputusan Kelompok pemilihan Saham LQ45 dengan menggunakan metode AHP, Promethee dan BORDA
25-34
DOI : https://doi.org/10.33173/jsikti.6 Abstract views: 4318 , pdf downloads: 3693Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW
35-42
DOI : https://doi.org/10.33173/jsikti.10 Abstract views: 1256 , pdf downloads: 911Forecasting Kunjungan Wisatawan Dengan Long Short Term Memory (LSTM)
43-52
DOI : https://doi.org/10.33173/jsikti.5 Abstract views: 3096 , pdf downloads: 2735







