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Implementation of Data Envelopment Analysis (DEA) on Measuring the Efficiency of Gas Station Services Priyo Windoko, Sindhu; Nur Amalina, Dahniar; Sanjani Ramadina, Atika; Hanoum, Syarifa
INJURITY: Journal of Interdisciplinary Studies Vol. 3 No. 1 (2024): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v3i1.159

Abstract

Along with the increasing number of transportation vehicles in Indonesia, the growth of the gas station business is also increasing from year to year. This requires companies in the oil and gas industry to improve their performance, and gas stations must have the right strategy to improve efficiency. Measurement of efficiency and productivity is one of the first steps that must be taken by a gas station operation to improve performance. This research analyzes the performance differences in each gas station with the Data Envelopment Analysis (DEA) approach, where DEA is a linear programming model based on measuring the relative efficiency of a unit using many inputs and many outputs. This study aims to identify input and output factors that affect the efficiency level of gas stations, determine the work efficiency of each gas station in carrying out the service process to consumers, and determine the improvement planning strategy for inefficient gas stations
Pelatihan Pengembangan Bisnis Berbasis Aplikasi Cloud Pada Mahasiswa dan UMKM Harisatul Agustin; Fadila Isnaini; Ni Gusti Made Rai; Syarifa Hanoum; Dewie Saktia Ardiantono; Uliyatun Nikmah; Prahardika Prihananto
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 6 No. 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v6i2.2224

Abstract

Transformasi digital adalah tantangan sekaligus peluang bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk meningkatkan daya saing. Program pengabdian masyarakat Pelatihan Pengembangan Aplikasi Bisnis Berbasis Cloud dirancang untuk mendukung transformasi digital UMKM melalui teknologi low-code/no-code yang memungkinkan pengembangan aplikasi tanpa keahlian pemrograman. Program ini, bekerja sama dengan Zoho Corporation, melibatkan mahasiswa dan UMKM dalam pelatihan teknis menggunakan platform Zoho Creator. Metode pelaksanaan meliputi workshop, kompetisi pengembangan aplikasi (Zoho Appathon), dan pendampingan mentor industri. Hasil menunjukkan peningkatan kemampuan peserta dalam menciptakan aplikasi inovatif yang mengotomasi proses bisnis, meningkatkan efisiensi operasional, dan memperluas jangkauan pasar. Selain manfaat ekonomi, program ini berkontribusi pada inklusi digital UMKM yang sebelumnya terbatas akses teknologi. Program ini menjadi model efektif dalam mendorong transformasi digital UMKM sekaligus memperkuat ekosistem bisnis berbasis teknologi di Indonesia.
Manajemen Risiko Rantai Pasok Pengadaan Suku Cadang Pada Perbaikan Alat Berat Melalui Implementasi House Of Risk (HOR) Septyanur, Aditya Dwi; Hanoum, Syarifa; Salahudin, Muhammad Saad
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 6 No. 4 (2025): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v6i4.8547

Abstract

Rantai pasok pengadaan suku cadang dalam sektor pertambangan memiliki tingkat risiko yang tinggi, yang dapat menyebabkan downtime pada alat berat. Penelitian ini bertujuan mengidentifikasi dan memitigasi risiko tersebut menggunakan metode House of Risk (HOR) dalam dua fase. Pada fase pertama, diidentifikasi 22 agen risiko dan 12 kejadian risiko, dengan agen risiko prioritas berdasarkan nilai Aggregate Risk Potential (ARP) tertinggi meliputi A22, A14, A17, A9, dan A12. Pada fase kedua, disusun 13 strategi mitigasi, dengan lima strategi prioritas yaitu PA1, PA7, PA11, PA10, dan PA9. Pendekatan yang digunakan adalah action research yang meliputi siklus identifikasi risiko, validasi oleh ahli, perumusan strategi mitigasi, dan refleksi hasil. Hasil penelitian ini diharapkan dapat meningkatkan efektivitas manajemen risiko dalam rantai pasok suku cadang industri alat berat.
Pengaruh Imbalan Terhadap Kepuasan Kerja: Analisa Bibliometrik Hartono, Sandra; Hanoum, Syarifa; Durman, Theodosia Yunita
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 6 No. 4 (2025): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v6i4.8601

Abstract

Imbalan (reward) merupakan salah satu faktor penting yang berkontribusi terhadap kepuasan kerja karyawan, yang dapat mendorong motivasi, keterlibatan, dan kinerja individu di tempat kerja. Studi ini bertujuan untuk memetakan perkembangan literatur terkait hubungan antara imbalan dan kepuasan kerja dalam kurun waktu 2014–2024. Dengan menggunakan pendekatan bibliometrik dan sumber data dari Scopus, penelitian dilakukan melalui beberapa tahap: (a) perumusan strategi pencarian berbasis kata kunci; (b) seleksi artikel ilmiah yang relevan; dan (c) analisis visualisasi menggunakan perangkat lunak VOSviewer untuk mengidentifikasi keterkaitan kata kunci serta tren publikasi. Hasil analisis menunjukkan bahwa topik imbalan memiliki keterkaitan yang erat dengan kepuasan kerja, serta tema-tema lain seperti motivasi dan komitmen organisasi. Meskipun telah banyak dikaji, penelitian terkait masih terbatas dalam konteks lintas sektor dan jarang dianalisis secara visual melalui pendekatan bibliometrik. Studi ini memberikan gambaran menyeluruh tentang perkembangan penelitian serta memberikan informasi peluang penelitian selanjutnya yang lebih mendalam yang berkaitan tentang efektivitas sistem imbalan terhadap kepuasan kerja.
Customer Satisfaction Analysis in the Healthcare Industry Using KANO Method and Importance Performance Analysis Delima, Mira; Hanoum, Syarifa; Salahudin, Muhammad Saad
Jurnal Teknologi dan Manajemen Vol 6, No 2 (2025): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jtm.2025.v6i2.7826

Abstract

Customer satisfaction is one of the most important aspects in the business world, especially in the service sector because it can increase customer loyalty, and create a positive image for the company and ultimately contribute to long-term success. This study was conducted at MEDCORP, a company engaged in the healthcare industry, which seeks to increase sales by improving customer service. To measure and customer satisfaction, this study uses 5 Dimensions of service quality, namely reliability, responsiveness, assurance, empathy and direct evidence. The methods used are the IPA and KANO methods. The IPA method uses data from customers to evaluate how important each attribute is and how well the company meets those expectations. The KANO method identifies attributes that can increase customer satisfaction if added or improved. This combination provides a more comprehensive understanding of customer needs and product performance that can be used as a reference for companies in achieving the service desired by customers, so that it can increase sales and customer satisfaction. Based on the results obtained, it is known that there are 23 negative gaps, so further analysis is carried out to determine the strategy set. The author makes three types of strategies that can be implemented, namely the main, middle, and final priority strategies based on the IPA-KANO integration classification. Through this research, it is expected to be used as a consideration for business actors or managers in determining improvements in service quality through continual improvement of MEDCORP's performance so that service quality and output become better.
ANALISIS EFISIENSI GUDANG DENGAN MENGGUNAKAN MODEL DATA ENVELOPMENT ANALYSIS (DEA) DI PT NUSA INDAH Nawakasari, Nawang; Hanoum, Syarifa; Salahudin, Muhammad Saad
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/jpv11f92

Abstract

Penelitian ini bertujuan untuk mengevaluasi efisiensi operasional gudang distribusi di PT Nusa Indah, sebuah perusahaan dalam industri Fast Moving Consumer Goods (FMCG), menggunakan pendekatan kuantitatif Data Envelopment Analysis (DEA) dengan model Technical Efficiency Variable Return to Scale (TE VRS) berorientasi output. Penilaian dilakukan terhadap 86 unit gudang (Decision Making Units - DMU) pada tahun 2024 berdasarkan empat variabel input Warehouse Damage, Deadstock 90 Hari, Durasi Picking, dan Truck Stay Duration serta dua variabel output yaitu Order Fulfillment Rate (OFR) dan Pcs per Mandays. Metode DEA digunakan untuk mengidentifikasi unit yang beroperasi secara efisien dan tidak efisien, serta memberikan dasar perbandingan melalui peer group dan target perbaikan untuk unit yang perlu ditingkatkan. Hasil analisis menunjukkan variasi signifikan dalam efisiensi antar unit: 16 dari 38 gudang di Jawa (gudang Caringin dengan skor terendah 0,8896) dan 17 dari 44 gudang di Sumatera (gudang Medan dengan skor terendah 0,7465) beroperasi efisien, sementara keempat gudang di Kalimantan seluruhnya efisien. Secara keseluruhan, peningkatan output Pcs per Mandays dan pengurangan input Truck Stay Duration diidentifikasi sebagai area dengan potensi perbaikan terbesar untuk mencapai efisiensi operasional. Temuan ini mengindikasikan perlunya strategi perbaikan operasional, alokasi sumber daya yang lebih optimal, dan memberikan kontribusi praktis dalam penyusunan kebijakan manajemen distribusi untuk penguatan daya saing perusahaan di industri FMCG Kata Kunci : Efisiensi, Data Envelopment Analysis (DEA), Supply Chain Management, Gudang, FMCG
Analisis Bibliometrik: Pengaruh Inovasi Hijau dan Ekonomi Sirkular Terhadap Kinerja UKM di Indonesia Andre Erlando Septian Sitinjak; Syarifa Hanoum
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 9 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i9.8964

Abstract

SMEs contribute significantly to global carbon emissions, making the implementation of green innovation and the circular economy crucial for improving performance while ensuring environmental sustainability. The circular economy is an economic concept focused on waste reduction and the reuse of resources through strategies such as recycling, reuse, and sustainable design. This concept aims to create a regenerative economic system by minimizing the exploitation of natural resources and reducing negative environmental impacts. Meanwhile, green innovation refers to the development and application of environmentally friendly innovations in products, processes, and business models to enhance resource efficiency and reduce industrial emissions and waste. This study aims to analyze the influence of both concepts on SME performance. Data were collected from 479 articles indexed in the Scopus and Web of Science (WoS) databases, and analyzed using co-occurrence, co-citation, and bibliographic coupling techniques with the help of VOSviewer software. The findings indicate that green innovation and the circular economy significantly enhance SME performance, particularly in terms of operational efficiency, competitiveness, and market reputation. Green innovation dimensions, such as green process and product innovation, are proven to support business performance, while circular economy indicators in social, economic, and environmental aspects serve as key factors for sustainability. This study provides strategic insights for SMEs to integrate green practices into their business strategies in order to achieve long-term competitive advantage.
Strategic Planning in Digital Marketing: Bibliometric and Content Analysis Ratih, Irene Kanina; Salahudin, Muhammad Saad; Hanoum, Syarifa; Korpysa, Jaroslaw
International Journal of Business and Management Technology in Society Vol. 1 No. 1 (2023)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v1i1.781

Abstract

Purpose – This study is aimed to map the trend, conceptual structure, and characteristic of strategic planning in digital marketing research. Methodology – This study uses Performance Bibliometrics analysis and Science Mapping Techniques. Performance Bibliometrics is used to analyze basic information and Science Mapping Techniques are used to find differences in future studies. the PRISMA method was used to complete the analysis performed. Findings – the most prolific and influential journals, authors, countries, and research dominated by Spain, the United States, and the United Kingdom. In addition, four themes are found that are often used in this field of study, namely the "marketing" cluster, the "decision theory" cluster, the "strategic approach" cluster, and the "social media" cluster. Research limitations – This study only covers research published related to strategic planning in digital marketing, the data selected only use synta strategic, and the co-occurrence analysis was used to present the conceptual structure in this study. Practical implications – This research will help practitioners to understand the basis of job satisfaction in textile factory workers and contribute to the scientific community by providing thematic maps and recommendations for future research of this field of study.
Artificial Intelligence (AI) Technology Trends in Human Resource Productivity: A Bibliometric and Content Analysis Zahril Maulana Jilham Al'ula; Astra Savero Qomara; Tyassatrio Kuncorowibowo; Syarifa Hanoum
International Journal of Business and Management Technology in Society Vol. 2 No. 2 (2024)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v2i2.1023

Abstract

Purpose – This research aims to show research trends in the field of AI implementation in the human resources realm and its relationship with human resource productivity Methodology – This research combines bibliometric analysis with content analysis methods. Bibliometric analysis is carried out by quantitative and statistical analysis of a set of data that is linked using bibliometric indicators that represent a set of topics that are the research area in this study. Then the findings from the bibliometric method are supported by content analysis from various studies in this research area, so that it can produce output with a clearer perspective. Findings – This research show that Artificial Intelligence (AI) can have significant effect on productivity in some case, but it must also be acknowledged that companies must also be wise in ensuring that the work to be adapted with the help of AI is appropriate, because the implementation of AI has not yet reached the point where all human work can be assisted or replaced by AI. Research Limitation – This research was conducted only through the findings on several previous research, articles, and the data obtained from Scopus only. Practical Implications – Based on the bibliometric analysis of recent trends in AI technology and its impact on human resource productivity, it is recommended that organizations invest in AI-based HR tools and systems to improve their productivity and efficiency. The study highlights the need for HR professionals to stay up to date with the latest AI trends and technologies to remain competitive in the job market.
The Effect of Training, Development, and Innovative Work Behaviour on Employee Performance in the Heavy Equipment Industry Aditya Dwi Septyanur; Sukanda, Jordan Michael; Majdi, Muhammad Zaenul Ihsan; Hanoum, Syarifa; Saraih, Ummi Naiemah
International Journal of Business and Management Technology in Society Vol. 1 No. 2 (2023)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v1i2.1863

Abstract

Abstract Purpose – The study aims to determine the impact of training, development, and innovative work behavior on employee performance in the heavy machinery industry. Methodology – This study employs an explanatory approach using a logistic regression model with data collected through questionnaires from 79 respondents working in a heavy machinery industry in Indonesia. The variables studied include training, development, and innovative work behavior as independent variables, and employee performance as the dependent variable. Findings – The results show that training and development have a significant positive effect on employee performance (p < 0.05), while innovative work behavior does not show a statistically significant impact (p > 0.05). The Nagelkerke R Square value indicates that 23.2% of the variance in employee performance can be explained by the model. Practical implications – From findings suggest that companies should focus on improving training and development programs to enhance employee performance. Meanwhile, efforts to foster innovative behavior may require a reevaluation of current strategies and organizational support mechanisms.