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All Journal International Journal of Supply Chain Management Jurnal Perencanaan Pembangunan JURNAL ADMINISTRASI NUSANTARA (JAN) IJOEM: Indonesian Journal of Elearning and Multimedia Journal of Indonesia Business Research (JIBR)
Herry Irawan
Telkom University
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Transportation Other

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DETERMINAN KINERJA PEGAWAI PADA BADAN KEPEGAWAIAN DAN PENGEMBANGAN SUMBER DAYA MANUSIA DAERAH KABUPATEN KERINCI: HERRY IRAWAN, SE HERRY IRAWAN
JURNAL ADMINISTRASI NUSANTARA Vol. 4 No. 1 (2021): JURNAL ADMINISTRASI NUSANTARA (JAN) 4.1 - JUNI 2021
Publisher : LPPM STIA Nusantara Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51279/jan.v4i1.60

Abstract

Human resources (HR) is one of the most important factors that cannot be separated from an organization, both an institution or a company. The government in carrying out its duties and responsibilities are required to produce good performance. This study aims to determine the effect of organizational commitment, work environment and work discipline on employee performance. The sample used in this study were 95 respondents who were in the Kerinci Regency BKPSDMD. The analytical method used in this study is multiple linear regression analysis. The results of this study indicate that organizational commitment and significant effect on employee performance, work environment influences and significantly affects employee performance, work discipline has a significant effect on employee performance, organizational commitment, work environment and work discipline jointly influences and significantly affects employee performance Kerinci Regency BKPSDMD.
Information Sharing Model in Supporting Implementation of e-Procurement Service: Case of Bandung City Gadang Ramantoko; Herry Irawan
International Journal of Supply Chain Management Vol 6, No 3 (2017): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

This research examines the factors influencing the Information Sharing Model in Supporting Implementation of e-Procurement Services: Case of Bandung City in its early maturity stage. The early maturity of information sharing stage was determined using e-Government Maturity Stage Conceptual Framework from Estevez. Bandung City e-Procurement Information Sharing system was categorized at stage 1 in Estevez model where the concern was mainly on assessing the benefit and risk of implementing the system. The Authors were using DeLone McLean (DM) Information System Success model to study benefit and risk of implementing the system in Bandung city. The model was then empirically tested by employing survey data that was collected from the available 40 listed supplier firms. DMs model adjusted by Klischewskis description was introducing Information Quality, System Quality, and Service Quality as independent variable; Usability and User Satisfaction as intermediate dependent variable; and Perceived Net Benefit as final dependent variable. The findings suggested that, all of the predictors in DMs model significantly influenced the net perceived benefit of implementing the e-Procurement system in the early maturity stage. The theoretical contribution of this research suggested that DMs model might find useful in modeling complex information technology successfulness such as the one used in e-Procurement service. This research could also have implications for policy makers (LPSE) and system providers (LKPP) following the introduction of the service. However, the small number of respondent might be considered limitation of the study. The model needs to be further tested using larger number of respondents by involving the population of the firms in extended boundary/municipality area around Bandung.
Impact of Urbanization on Energy Intensity in Indonesia: Spatial Analysis Herry Irawan; Djoni Hartono
Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning Vol. 6 No. 2 (2022): August 2022
Publisher : Ministry of National Development Planning Republic of Indonesia/Bappenas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36574/jpp.v6i2.309

Abstract

Urbanization is a phenomenon in developing countries that needs to be studied in depth because it has various impacts, including an increase in energy consumption. Energy consumption needs to be controlled to balance energy supply and demand in each province. In this study, energy intensity will be used to measure energy consumption, and regional elements are used to capture the diversity of characteristics in each province. The purpose of this study is to 1) Is there a spatial correlation in energy intensity in Indonesia; and 2) What is the spatial (direct, indirect, and total) impact of urbanization on energy intensity in the Indonesian region, Eastern Indonesia Region (KTI), and Western Indonesia Region (KBI). The research method used is a spatial analysis using Moran Test, Spatial Durbin Model, and advanced decomposition analysis on the spatial spillover effect. The result is a spatial correlation to the energy intensity that occurs in each province. Urbanization shows a significant negative impact on energy intensity on the direct effect on KTI and KBI and also on the indirect effect and the total effect in the territory of Indonesia and KBI.
Analisis Kolaborasi YouTube Influencer Menggunakan Social Network Analysis: Case Study pada YouTuber Jerome Polin Fadhilah Nurdzati; Herry Irawan
Journal of Indonesia Business Research (JIBR) Vol. 1 No. 1 (2023): September 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jibr.v1i1.6498

Abstract

Media sosial Youtube seringkali digunakan sebagai wadah bagi para penggunannya untuk menuangkan kreativitas dalam berekspresi, berbagi, serta mendapatkan informasi secara virtual melalui konten-konten video yang tersebar. Selain itu, youtube juga dimanfaatkan penggunanya sebagai media pembelajaran serta promosi. Jenis konten yang dibuat pada Youtube sangat beragam, namun tidak semua video dapat menarik audience. Untuk pembuatan konten, diperlukan ide yang menarik agar diminati audience. Salah satu cara dalam mengumpulkan suatu ide adalah dengan melakukan kolaborasi. Berdasarkan hal tersebut, melalui penelitian ini penulis akan menganalisis apakah aktivitas kolaborasi yang dilakukan oleh seorang creator youtube mampu berpengaruh dalam pengembangan konten atau content development pada setiap video dari masing-masing youtuber yang berkolaborasi serta mengetahui dampak kolaborasi terhadap peningkatan engagement. Metode yang digunakan adalah Social Network Analysis (SNA) dengan mengambil data pada media sosial youtube dengan visual code dan diproses penggunakan Gephi Versi 09. Data yang diolah pada penelitian ini adalah meta data youtube yang terdiri atas data video, jumlah viewers, jumlah comment, dan jumlah likes dengan periode pengambilan data selama 1 tahun dengan periode November 2021 – November 2022. Setelah itu data di olah sehingga dapat terbentuk pola kolaborasi antar youtuber kolaborasi dan videonya. Hasil menunjukkan bahwa aktivitas kolaborasi mampu membangun content development dengan melihat interaksi komentar audience terhadap suatu konten, kolaborasi juga dapat meningkatkan engagement video.
Analisis Pola Interaksi Wisatawan Hotel di Kawasan Joglosemar melalui Konten Video Rekomendasi Hotel pada TikTok Menggunakan Metode Social Network Analysis (SNA) Azizah Nur Adilla; Herry Irawan; Yusza Reditya Murti
Journal of Indonesia Business Research (JIBR) Vol. 3 No. 2 (2025): September 2025
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jibr.v3i2.9674

Abstract

Penelitian ini berfokus pada interaksi wisatawan melalui TikTok dan pengaruhnya terhadap keputusan mereka, terutama melalui video rekomendasi hotel di kawasan Joglosemar. Kurangnya penelitian tentang interaksi ini mendorong studi untuk menganalisis konten yang dibuat oleh pengguna (UGC) dari video TikTok terkait hotel di Jogja, Solo, dan Semarang. Metode Analisis Jaringan Sosial (SNA) digunakan untuk memvisualisasikan pola interaksi dan hubungan antar pengguna dalam jaringan sosial, serta mengidentifikasi aktor utama yang berperan dalam penyebaran informasi. Temuan utama menunjukkan pola interaksi wisatawan hotel yang tersebar dan saling berhubungan. Kemudian ditemui aktor utama yaitu angelarossari, neogadingsolo, umbul. sidomukti dan pembuat konten lainnya memiliki tingkat interaksi tertinggi dalam jaringan sehingga berpengaruh dalam jaringan. Selain itu, penelitian ini berhasil mengidentifikasi karakteristik konten video dengan nilai centrality tertinggi, seperti konten yang informatif, kreatif, dengan gaya penyampaian santai dan detail. Temuan tersebut diharapkan dapat memberikan manfaat bagi pemerintah dan pelaku usaha dalam merancang strategi pemasaran yang lebih efektif, memperluas jangkauan promosi, meningkatkan visibilitas hotel di Joglosemar, dan memberikan wawasan mengenai bagaimana media sosial memengaruhi keputusan wisatawan.
Analysis Of Community Interaction On Instagram Posts About Travel Agents In Joglosemar Area Using Social Network Analysis And Sentiment Analysis Nafisa Nurul Farhana; Herry Irawan
Journal of Indonesia Business Research (JIBR) Vol. 3 No. 2 (2025): September 2025
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jibr.v3i2.10031

Abstract

Borobudur is one of the 5 super priority destinations that aim to improve the quality and quantity of tourism destinations in Indonesia, which is expected to provide opportunities for economic growth in the surrounding region, especially Yogyakarta, Solo, and Semarang (Joglosemar). The events of 2019 showed that 4 million Borobudur tourists only stayed for 2 to 3 hours, after which they went to other places. Tour operators are one of the key aspects of the tourism supply chain, with offerings through social media platforms, especially Instagram. The purpose of the research is to find out the network structure and sentiment of community interaction shown in comments on Instagram posts about travel agents in the Joglosemar area using social network analysis and sentiment analysis methods. The research results in a network structure that is formed through identification with centrality measurement. User staycationjogja has the highest degree centrality, betweenness centrality, and eigenvector centrality values, while there are several users with the highest closeness centrality value of 1, one of which is user joglosemartour.id. The results of sentiment formed through identification with the Support Vector Machine (SVM) classification showed an accuracy level of 90%, with negative sentiment dominated by 73.1% with comments containing hashtags that do not contain useful information. Then positive sentiment by 26.9% which contains comments that are less detailed, making the percentage tend to be small. The number of true negatives (TN) is 459, false negatives (FN) are 45, true positives (TP) are 128, and false positives (FP) are 18.
Utilizing Retrieval Augmented Generation (RAG)-Based Chatbots as an Innovative Learning Tool in Higher Education: A Case Study on the Use of Digital Learning Resources Yusza Murti; Dian Puteri Ramadhani; Herry Irawan
IJOEM: Indonesian Journal of E-learning and Multimedia Vol. 4 No. 3 (2025): Indonesian Journal of E-learning and Multimedia
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijoem.v4i3.510

Abstract

Background: Higher education institutions face information fragmentation and cognitive overload as students struggle to access learning materials scattered across multiple digital platforms. Large Language Models encounter hallucination issues and static knowledge bases, limiting their educational application.Aims: This research aims to design and evaluate a Retrieval Augmented Generation (RAG)-based chatbot system integrated with Learning Management Systems to address information fragmentation in educational environmentsMethods: We employed Design Science Research Methodology (DSRM) to develop the RAG-based chatbot. Technology Acceptance Model (TAM) assessment with 267 undergraduate students and semi-structured interviews with five faculty members evaluate user acceptance and pedagogical perspectives.Results: The RAG chatbot achieved strong initial user acceptance (mean score 4.097). Students valued perceived usefulness over ease of use, with high usage intentions and recommendation willingness. Faculty recognized pedagogical value while emphasizing quality assurance needs.Conclusion: This exploratory study demonstrates technical feasibility and baseline user acceptance for RAG-based chatbots in education, showing promise for addressing information accessibility challenges. Demonstration-based evaluation requires validation through longitudinal field studies.
Co-Authors Anthonio Joshua Azizah Nur Adilla Dian Puteri Ramadhani Djoni Hartono Fadhilah Nurdzati Gadang Ramantoko Indira Rachmawati Nafisa Nurul Farhana Yusza Murti Yusza Reditya Murti