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All Journal JURNAL SISTEM INFORMASI IKRA-ITH Teknologi Jurnal Sains dan Teknologi Applied Information System and Management Jurnal Teknologi Dan Sistem Informasi Bisnis Journal of Applied Data Sciences Journal of Applied Computer Science and Technology (JACOST) Halal Research Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Journal of Artificial Intelligence and Technology Information Router : Jurnal Teknik Informatika dan Terapan Router : Jurnal Teknik Informatika dan Terapan Jurnal Perangkat Lunak
Elvi Fetrina
UIN Syarif Hidayatullah Jakarta
Religion Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Analisis Niat Beli Wanita terhadap Kosmetik Halal Berdasarkan Theory of Planned Behaviour (TPB) Elvi Fetrina; Meinarini Catur Utami
Applied Information System and Management (AISM) Vol. 5 No. 2 (2022): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v5i2.24849

Abstract

Indonesia merupakan salah satu pasar kosmetik yang cukup besar potensinya. Kosmetik dapat dikatakan halal jika produk kosmetik tersebut sudah memenuhi syarat kehalalan sesuai syariat Islam dan sudah disertifikasi MUI. Penelitian ini bertujuan menginvestigasi sejauh mana wanita Indonesia khususnya para mahasiswi tertarik untuk membeli produk kosmetik halal. Populasi penelitian ini adalah mahasiswi baik yang muslim dan non-muslim di perguruan tinggi negeri maupun swasta di Indonesia. Penelitian ini menggunakan model dari framework Theory of Planned Behaviour yang sudah dikembangkan, dengan teknik analisis data menggunakan PLS-SEM dengan bantuan tools SMARTPLS untuk perhitungan data. Pengumpulan data dilakukan menggunakan survey dengan melakukan penyebaran kuesioner secara tidak langsung kepada responden dengan bantuan googleform. Didapat hanya satu saja hipotesis dari delapan hipotesis yang dibuat ditolak karena terbukti tidak memiliki pengaruh yang signifikan. Hipotesis yang ditolak tersebut yaitu variabel Subjective Norms terhadap Intention, karena didapat nilai koefisien regresi sebesar -0.079 dengan p-value sebesar 1.429. Sementara tujuh varibel lainnya yang terbukti berpengaruh signifikan dan diterima diantaranya adalah Attitude, Perceived Behavioral Control (PBC), Perceived Value terhadap Intention dan Social Influence, Knowledge, Religiousity terhadap Attitude, serta Brand Value terhadap Perceived Value. 
Analysis of Information Technology Governance Priorities at PTKIN Using The COBIT 2019 Framework Nur Aeni Hidayah; Junaidi Junaidi; Elvi Fetrina; Suci Ratnawati
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.45011

Abstract

Risk management is a part of information technology (IT) governance, enabling organizations to safeguard their information assets effectively and efficiently. It involves identifying potential risks, planning mitigation strategies, and establishing relevant policies. An interview with the Head of Pustipanda at Syarif Hidayatullah State Islamic University (SIU) Jakarta revealed that the university underwent an IT governance audit by the National Cyber and Crypto Agency in 2020, with results indicating the need for significant improvements. Given the critical role of the Academic Information System (AIS) as a strategic IT asset in higher education, effective management is essential. This study aims to evaluate the IT governance maturity of Pustipanda using the COBIT 2019 framework and to identify key governance domains that should be prioritized for improvement. The study focuses on the IT governance of Pustipanda Syarif Hidayatullah SIU Jakarta, selected as a sample from the broader population of PTKIN (State Islamic Religious Colleges) in Indonesia. Using the COBIT 2019 framework, the research identifies 22 IT governance domains prioritized for implementation, with six domains categorized as top priority. These findings provide actionable insights for IT governance enhancement, particularly in academic institutions. The methodology presented can serve as a reference for other PTKIN to assess and prioritize IT governance domains according to their specific organizational needs, supporting the development of more secure, efficient, and well-governed IT environments in higher education institutions.
Profile Matching in Python to Identify Tourist Destinations for The Development of National Tourism Meinarini Catur Utami; Qurrotul Aini; Elvi Fetrina; Muhammad Shofian Tsauri; Mella Safitri
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46683

Abstract

Tourism has emerged as a key contributor to state revenue and has played a crucial role in national economic recovery following the Covid-19 pandemic, establishing itself as a new engine for the country’s economic growth. In response to this, the government—through the Ministry of Tourism and Creative Economy—is actively promoting development in the tourism sector to enhance numerous tourist attractions in Indonesia, which are renowned for their beauty and recognized globally. However, the Ministry faces several challenges, including the need for technological advancements and the expansion of infrastructure. Addressing these needs will require substantial financial investment to optimize all tourism sites. This study aims to identify 22 tourist attractions across Indonesia using the Profile Matching method in Python programming, based on seven established criteria. The uniqueness about this study is that this research implemented  a simple Python script and the tourist attractions are spread across all regions of Indonesia. The results of the study highlight three tourist destinations that warrant government attention for optimization: Lake Maninjau, Rantepao, and Seminyak. To facilitate improvement, several areas require focus, including upgrading access roads, enhancing basic facilities, fostering community participation, developing human resources, and leveraging technology. The analysis using Python demonstrates that the software performs efficiently, processing 22 data points with seven criteria in a mere 0.06 seconds.
Co-Authors Achmad Djunaedi Ainun Nashikha Alvali Zaqi Taufan Amany Rafa Lihardi Azmina, Hilma Yasmin A’ang Subiyakto Desyandri Desyandri Ernawati Ernawati Evy Nurmiati Huda, Muhammad Qomarul Ikaningrum Nurazizah Irsan, Yusuf Nabiil Junaidi Junaidi Meinarini Catur Utami Meinarini Utami Mella Safitri Mohammad Al-Habsie Muhammad Faris Muhammad Faris, Muhammad Muhammad Shofian Tsauri Muhammad Taufik Hidayat Murni Nahdlah Nurul Murhum Nashikha, Ainun Nur Aeni Hidayah Nur Aeni Hidayah Qurrotul Aini Qurrotul Aini Qurrotul Aini Raden Aulia Rahman Rahman, Raden Aulia Suci Ratnawati utami, meinarini Widia Ramadhani Winda Wulandari Yuliwanda Anggi Kusumastuti Yusuf Abdurachman