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All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Jurnal Impresi Indonesia Automotive Experiences
I Ketut Gunarta
Institut Teknologi Sepuluh Nopember, Indonesia
Religion Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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An Investigation of Pull and Push Factors in the Commercialization Policy of Electric Motorcycles in Indonesia Fiky Two Nando; I Ketut Gunarta; Putu Dana Karningsih
Automotive Experiences Vol. 8 No. 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13989

Abstract

The ongoing energy crisis underscores the pressing need for more efficient energy utilization, particularly in the transportation sector. In this regard, the shift from conventional fossil fuels to electric vehicles (EVs) is essential for achieving both environmental sustainability and energy efficiency. Several developing countries, including Indonesia, have introduced regulations to promote EV adoption. However, electric motorcycle sales remain stagnant due to persistently low adoption rates. The primary challenge lies in the limited success of commercialization efforts, which continues to hinder broader market penetration in Indonesia. This study aims to identify research opportunities that can support the commercialization of EVs in Indonesia and to explore the push and pull factors influencing this process. An exploratory approach is employed, incorporating bibliometric analysis using R 4.3.1, a scoping literature review, and in-depth interviews with EV experts. The bibliometric analysis highlights the considerable development potential of electric motorcycle commercialization. From in-depth interviews with eleven experts, forty-four influencing factors were identified: twenty-nine of which are newly emerging factors, and fifteen are already established in the literature. Among these, four pull factors were confirmed, while twelve push factors were consistently highlighted by the experts. “Inexpensive product price for consumers” emerged as the most dominant pull factor in accelerating electric motorcycle commercialization, whereas the provision of incentives was the most frequently emphasized push factor driving supportive commercialization policies.
Analisis Pemilihan Lokasi Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) di DKI Jakarta Menggunakan Geographic Information System dan Analythical Hierarchy Process Adi Seno Lesmana; I Ketut Gunarta
Jurnal Impresi Indonesia Vol. 4 No. 12 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i12.7258

Abstract

Pertumbuhan pesat kendaraan listrik di DKI Jakarta sebagai pusat mobilitas nasional mendorong kebutuhan akan ketersediaan infrastruktur Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) yang tersebar secara strategis. Namun, pembangunan SPKLU menghadapi berbagai tantangan, seperti keterbatasan lahan, kepadatan penduduk, aksesibilitas, serta variabel spasial dan lingkungan lainnya. Tanpa pendekatan perencanaan lokasi yang tepat dan berbasis data, pembangunan SPKLU berisiko tidak optimal dan dapat menghambat transisi menuju sistem transportasi berkelanjutan. Penelitian ini bertujuan menentukan lokasi optimal SPKLU di DKI Jakarta dengan mengintegrasikan metode Analytical Hierarchy Process (AHP) dan Geographic Information System (GIS). AHP digunakan untuk menentukan bobot prioritas dari sejumlah kriteria, seperti aksesibilitas, kepadatan kendaraan listrik, ketersediaan lahan, kedekatan dengan sumber listrik PLN, dukungan kebijakan pemerintah, serta faktor lingkungan. Bobot tersebut kemudian diintegrasikan ke dalam GIS melalui pendekatan weighted overlay guna menghasilkan peta zona prioritas pembangunan SPKLU. Penelitian ini diharapkan memberikan kontribusi teoritis dalam pengembangan metode pemilihan lokasi berbasis multi-kriteria dan spasial, serta kontribusi praktis bagi pemerintah, investor, dan pemangku kepentingan dalam mendukung percepatan adopsi kendaraan listrik dan pembangunan infrastruktur yang tepat sasaran dan berkelanjutan.
Designed of A Balanced Scorecard-Based Performance System Management Model Within ERP as A Foundation for Managerial Decisionmaking Zaena Putri Larasati; I Ketut Gunarta; Patdono Suwignjo
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 8 No. 1 (2027): INJIISCOM: VOLUME 8, ISSUE 1, JUNE 2027 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v8i1.20628

Abstract

Startups in the bottled water (bottled water) industry face the challenges of rapid growth in competitive markets as well as the complexity of manufacturing and distribution operations. This study aims to design a Strategyc evaluation instrument for startup AMDK through the development of structured target indicators. The research approach uses the Balanced Scorecard (BSC) to formulate metrics from the perspective of finance, customers, internal business processes, and learning and growth. Analytical Hierarchy Process (AHP) method is applied for weighting criteria based on management assessment and industry experts. The indicators are then mapped into the core business process flow and integrated into the Enterprise Resource Planning (ERP) functional architecture. The results of the study formulated 34 measuring parameters with the highest priority weighting on customer perspective (43%), followed by Finance (31%), internal business processes (15%), and learning and growth (11%). The implementation of this modeling provides a managerial impact in the form of real-time cross-divisional monitoring, facilitating company leaders in agile and precise decision making.
Co-Authors Adi Seno Lesmana Fiky Two Nando Patdono Suwignjo Putu Dana Karningsih Zaena Putri Larasati