Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal JSMA (Jurnal Sains Manajemen dan Akuntansi) Jurnal Ilmu Komputer dan Sistem Informasi
Patah Herwanto
Universitas Ekuitas Indonesia
Computer Science & IT Economics, Econometrics & Finance Library & Information Science Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perencanaan Strategis SI/TI Menggunakan Metode Tozer di PT Sinar Sakti Matra Nusantara Bandung Arif Noor Iman; Patah Herwanto; Alya Salsabila Maulana; Muhammad Wendy Ananda Suhaeri
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.349

Abstract

PT Sinar Sakti Matra Nusantara (MATRA) is a manufacturing company specializing in machinery services, including turbine repair, mechanical and tooling services, and technical consultation. The main problem is the absence of an integrated information system across business units, causing inefficiencies in operational workflows. The company also lacks a dedicated IT division to oversee IS/IT development.  This research aims to: (1) map the competitive business situation of PT Sinar Sakti Matra Nusantara; (2) analyze IS/IT conditions within internal and external environments; and (3) formulate an IS/IT strategy that effectively optimizes business processes.  The study applies the Tozer Method, consisting of five phases: Phase 0 (determining context and scope), Phase 1 (identifying business information and support needs), Phase 2 (evaluating system suitability and identifying solutions), Phase 3 (identifying strategic solutions), and Phase 4 (preparing and executing an implementation plan). A qualitative approach was adopted through literature review, interviews, and direct observation. Analytical tools include SWOT, Value Chain, PEST, Five Force Model, Critical Success Factor (CSF), and McFarlan Strategic Grid.  The findings reveal that IS/IT development has not been implemented optimally, evidenced by the absence of an IT division and integrated systems. Eight systems and applications are proposed: a Personnel Administration System, Order Information System, Production Information System, Inventory System, Financial Information System, Consumer Order and After-Sales Monitoring Application, Delivery Application, and the company Website.  This research concludes that the Tozer Method successfully produced a comprehensive IS/IT strategic roadmap, enabling PT Sinar Sakti Matra Nusantara to grow more competitively alongside rapid technological advancements.
Prediksi Indeks Inovasi Global Indonesia Menggunakan Hybrid Machine Learning Patah Herwanto; Fathurrahman Pratama Putra; Rani Apriliani Aditya; Harmansyah Nasution
JSMA Vol 17 No 2 (2025): JSMA (Jurnal Sains Manajemen dan Akuntansi)
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi STAN IM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37151/jsma.v17i2.268

Abstract

Indeks Inovasi Global (Global Innovation Index / GII) merupakan indikator strategis yang digunakan untuk menilai daya saing dan kapasitas inovasi suatu negara. Bagi Indonesia, dinamika nilai GII mencerminkan akumulasi kebijakan, investasi, serta kesiapan sistem inovasi nasional yang berkembang secara bertahap dan bersifat temporal. Oleh karena itu, diperlukan pendekatan analitis yang adaptif untuk memprediksi perubahan GII guna mendukung perencanaan dan pengambilan keputusan strategis berbasis data. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi model prediksi Indeks Inovasi Global Indonesia menggunakan pendekatan hybrid machine learning berbasis data deret waktu. Metode penelitian dilakukan melalui analisis komparatif beberapa model pembelajaran mesin, yaitu Random Forest, XGBoost, dan Long Short-Term Memory (LSTM), dengan menerapkan validasi temporal untuk mengidentifikasi pola hubungan antarperiode serta menilai kinerja prediktif model. Hasil penelitian menunjukkan bahwa model berbasis machine learning mampu menghasilkan prediksi yang stabil dan konsisten, dengan kinerja GII tahun sebelumnya (lag₁) berperan dominan dalam membentuk nilai GII pada periode berjalan. Temuan ini mengindikasikan bahwa kinerja inovasi nasional lebih dipengaruhi oleh kesinambungan kebijakan dan akumulasi kapasitas jangka menengah dibandingkan intervensi jangka pendek. Implikasi penelitian ini memberikan kontribusi praktis bagi perumus kebijakan dan pengelola sistem inovasi dalam merancang strategi inovasi berkelanjutan yang berorientasi pada penguatan daya saing nasional berbasis analitik prediktif.
Co-Authors Alya Salsabila Maulana Arif Noor Iman Fathurrahman Pratama Putra Harmansyah Nasution Muhammad Wendy Ananda Suhaeri Rani Apriliani Aditya