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SETTING UP A BUSINESS ENVIRONMENT TO INTRODUCE A NEW MATERIAL FOR PACKAGING IN INDONESIA Andina Oktariani; Nyayu Lathifah Tirdasari; Nur Hasanah; Dikky Indrawan
Indonesian Journal of Business and Entrepreneurship (IJBE) Vol. 6 No. 3 (2020): IJBE, Vol. 6 No. 3, September 2020
Publisher : School of Business, IPB University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/ijbe.6.3.302

Abstract

Along with the development of consumer behavior that focus on environment, it encourages company to use eco-friendly as attribute to the value preposition on generated product. Although Indonesian consumer aware of environment issues, still they prefer to choose another aspect instead of environmentally friendly on the product that bought by consumer. The aim of this research was to study the factors of environment business that able to support the success of new material development on the environmentally friendly packaging. The method that used in this research is factor analysis. The result of this research show that there are 2 (two) cluster of factors which supported the success of new material development on the environmentally friendly packaging, first factor is advocacy factor towards the innovation of using new material that competitive and logistic infrastructure factor of new material which supported by institutional network. The study is useful for policy maker to organize the right strategy formulation to be implemented on the development of new resource for the environmentally friendly packaging. Keywords: new material, packaging, eco-friendly, factor analysis
Sustainable Value Co-Creation in Mobile Advertising in Cellular Telecommunication Industry: A Conceptual Framework Joko Rurianto; Ujang Sumarwan; Budi Suharjo; Nur Hasanah
Indonesian Journal of Business and Entrepreneurship (IJBE) Vol. 7 No. 2 (2021): IJBE, Vol. 7 No. 2, May 2021
Publisher : School of Business, IPB University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/ijbe.7.2.172

Abstract

The growth of Mobile Internet services has changed the paradigm of telecommunication consumers from information- oriented toward social to communication- oriented. This change makes customers as part of the digital society, especially in Mobile Advertising services. Along with this change and the requirement for the company to win the competition, telecommunication providers must develop a business model of Mobile Advertising as a 'stage' that is easily accessible to all interested customers to this facility. In the concept of Service Dominant Logic, the company has no longer as a full control of value creation, but it must involve the customer in the process of value co-creation. The purpose of this research is to understandnding the landscape of Mobile Advertising services in telecommunication industry, understanding the existing model that can be build a model of Mobile Advertising services in the telecommunication industry, and understanding Mobile Advertising will influence on the value co-creation of the brand and corporate image. The research method using survey, exploratory, and systematic review. The research develops a model from the model of attributes and benefits of online community, model Consumer Engagement, model Attitude Toward Online Ads and model of Click Through Rate (CTR). Keywords: value co-creation, mobile advertising, consumer engagement, attitude toward online ads, click through rate (CTR)
PENGARUH FAKTOR ATRIBUT PRODUK TERHADAP PREFERENSI DAN KEPUTUSAN PEMBELIAN MASAKAN AYAM MATANG SECARA ONLINE (GOFOOD) Lakudus Lakudus; Agus Buono; Nur Hasanah
Value : Jurnal Manajemen dan Akuntansi Vol 17 No 1 (2022): Januari - April
Publisher : Prodi Ilmu Manajemen, Fakultas Ekonomi Universitas Muhammadiyah Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cooked chicken dishes are the best-selling foods on Gofood during the 2019-2020 period. Changes in transaction trends bring benefits for entrepreneurs who have adapted online transactions especially Gofood partner. This paper will explain the relation between Gofood user demographic conditions, product attributes and food preferences. This study collecting data from 201 respondent around Jabodetabek, data processing is carried out using a biplot and boxplot. The findings of this study explain the general relationship and significant differences between groups of respondents regarding their preferences in purchasing cooked chicken dishes. These findings indicate that food business players must understand the demographic conditions within their reach to determine the business strategy that is considered the most effective. Keywords: Consumer Demographic, Food Preferences, Product Attributes. Abstrak Masakan ayam matang merupakan makanan terlaris yang ada di Gofood pada periode 2019 – 2020. Perubahan gaya transaksi memberikan keuntungan untuk pengusaha yang sudah mengadaptasi budaya transaksi secara online, terkhususnya mitra Gofood. Studi ini berusaha menjelaskan hubungan antara kondisi demografis, atribut produk dan preferensi pembelian makanan. Data diambil dari 201 orang responden yang tersebar di Jabodetabek, kemudian diolah menggunakan metode biplot dan boxplot. Hasil dari studi ini menjelaskan ada perbedaan yang signifikan pada setiap kelompok responden dalam preferensi pembelian masakan ayam matang. Temuan tersebut menguatkan bahwa penting bagi pelaku bisnis untuk memahami kondisi demografis konsumen, terlebih konsumen yang ada dalam area jangkauan bisnisnya. Untuk membentuk dan menerapkan strategi yang paling efektif. Kata Kunci : Demografi Konsumen, Preferensi Makanan, Atribut Produk.
Analysis of Obstacles in Implementing The Finished Banknotes Business Model (A Case Study on Banknotes Printing in Indonesia) Saiful Bahri; Syamsul Maarif; Arif Imam Suroso; Nur Hasanah
Jurnal Organisasi dan Manajemen Vol. 18 No. 1 (2022)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jom.v18i1.2503.2022

Abstract

Purpose - Bank Indonesia as a central bank uses Perum Peruri as a banknote printing service provider. In general, Bank Indonesia is a consumer and a banknote paper provider that intends to change the business model from printing services to finished banknotes or end-to-end processes. Therefore, this study aimed to analyze the obstacles faced while implementing the finished banknotes business model by Perum Peruri. Methodology - A total of 9 obstacles were identified based on the literature and discussions with five experts from the banknotes printing industry, Bank Indonesia as a consumer and regulator, the Ministry of State-Owned Enterprises, and the Indonesian Printing Security Association. An interpretive structural modeling analysis was used to measure the strength of the relationship between obstacles, develop hierarchical levels, and classify and rank each obstacle. Findings - The results showed that the main obstacles included limited working capital, dependence on supplies of foreign banknotes, the complexity of their procurement, and barriers to accessing banking. These obstacles can be solved when Perum Peruri improves its capabilities and receives support from the government. Originality - This study is original and provides new knowledge about the obstacles faced by banknote printing companies when changing their business model.
Redesigning Digital Marketing Strategy for Increasing Sales of Small Business: A Case Study in Pinescarf Nadhilah Husna; Hartoyo Hartoyo; Nur Hasanah
Binus Business Review Vol. 15 No. 3 (2024): Binus Business Review
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/bbr.v15i3.11355

Abstract

The research provided a complete and practical perspective on reviving struggling small businesses by redesigning marketing strategies to boost sales. It aimed to identify the implemented marketing strategy, evaluate the marketing performance, and redesign the marketing strategy. An exploratory mixed-method approach was applied, comprising three stages. First, qualitative descriptive analysis identified the existing marketing strategy through in-depth interviews and direct observation, analyzed using Segmentation, Targeting, and Positioning (STP) and the Cocreation, Currency, Communal Activation, and Conversation (4C) marketing mix. Second, ongoing marketing performance was evaluated based on the perceptions of 267 Instagram and Shopee followers of Pinescarf, using convenience sampling and the Aware, Appeal, Ask, Act, and Advocate (5A) customer path concept. Third, strategy formulation utilized the Analytical Hierarchy Process (AHP), integrating qualitative and quantitative approaches based on insights from management, consumers, and industry experts. The identification process shows that Pinescarf needs to improve its implementation of the 4C marketing mix. A bottleneck at the Act and Advocate stages prevents purchases, resulting in a funnel-shaped customer path. Strategy formulation using AHP prioritizes increasing sales as main marketing objective of Pinescarf. Maximizing advertising performance in the conversation mix is the first priority, followed by regular discounts in the currency mix to address the Act stage bottleneck. These findings can help Pinescarf to save time and costs by focusing on effective marketing efforts. Additionally, the research has connected marketing theory with real-world practice, enabling businesspeople to make informed decisions based on solid analysis alongside their existing intuition.
AN SCP-BASED ASSESSMENT OF MARKET STRUCTURE AND AIRLINE PERFORMANCE IN POST-PANDEMIC INDONESIA Nia Sofura; Zenal Asikin; Nur Hasanah
SOSIOEDUKASI Vol 15 No 1 (2026): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v15i1.7370

Abstract

This study applies the Structure–Conduct–Performance (SCP) framework to empirically reassess the relationships among market structure, airline conduct, and industry performance in Indonesia’s aviation sector. The analysis integrates descriptive trend analysis to capture post-pandemic industry dynamics and panel data regression techniques to quantitatively evaluate structural and behavioral effects on performance. The findings are intended to provide policy-relevant evidence for enhancing industry competitiveness and long-term resilience. The results indicate that Indonesia’s aviation industry is characterized by a persistent oligopolistic structure, in which market concentration (HHI and CR4) and minimum efficient scale (MES) significantly shape airline behavior and performance. Using fixed-effects panel regression for the 2019–2024 period, the estimates show that higher market concentration and MES have positive and statistically significant effects at the 1–5% level on capacity decisions (ASK) and yield, while airline performance, measured by load factor, remains significantly influenced after controlling for fuel price volatility and GDP growth, providing strong empirical support for the Structure–Conduct–Performance (SCP) framework. This study demonstrates that post-pandemic performance in Indonesia’s aviation industry is primarily driven by market structure and internal operational decisions, particularly capacity management (ASK) and fleet utilization, rather than by pricing strategies, service quality, or short-term macroeconomic conditions.
Daily Production Prediction Model of Oil Wells Using Backpropagation Neural Network Arif Wicaksono; Arif Imam Suroso; Nur Hasanah
Jurnal Aplikasi Bisnis dan Manajemen Vol. 11 No. 3 (2025): JABM Vol. 11 No. 3, September 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.11.3.804

Abstract

Background: Measuring well production is a crucial task in upstream oil and gas operations, where various tests and measurements are standard procedures and integral parts of operational activities. More frequent production measures are required to detect production declines in mature fields. However, existing daily production testing at the Langgak field, Central Sumatra Basin, cannot be routinely and periodically conducted due to several economic and technical challenges. Purpose: The objective of this article is to create a model for predicting daily crude oil well production.Design/methodology/approach: To achieve this goal, the study applies an artificial neural network (ANN) for forecasting daily crude oil well production, utilizing 17,394 daily production records from 26 wells. This sample size is well above recommended thresholds for neural network models, ensuring sufficient data for robust model training and validation. The backpropagation algorithm and the sigmoid function are employed as the learning algorithm to predict daily crude oil well production. Findings/Result: The optimal parameters for predicting daily crude oil well production were 20 hidden nodes and a learning rate of 0.05, converging at 481 epochs with a training time of 13 seconds.Conclusion: Model performance was indicated by high correlation coefficients (R) across training, validation, and testing phases, along with a low Mean Squared Error (MSE). The resulting regression equation, Output = 1 × Target + 0.00024, confirms a near-perfect alignment with the target function.Originality/Value (State of the art): Although this study employs the standard backpropagation neural network (BPNN) architecture an established method in oil production forecasting it contributes original value by rigorously applying 10-fold cross-validation on an 80:20 train-test split of the Langgak field dataset, thereby enhancing model reliability and offering validated insights for forecasting in mature oil fields; a foundation upon which future research can build using hybrid or more advanced neural architectures shown to yield superior accuracy. Keywords: artificial neural network, backpropagation, oil production forecasting, machine learning, yield prediction
How Islamic Capital Market Literacy, Knowledge of SOTS, and Religiosity Influence Perceived Risk: The Mediating Role of Perceived Sharia Compliance Dini Queentasari; Megawati Simanjuntak; Nur Hasanah
Jurnal Aplikasi Bisnis dan Manajemen Vol. 12 No. 1 (2026): JABM, Vol. 12 No. 1, Januari 2026
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.12.1.364

Abstract

Background: The Islamic capital market is essential in Indonesia’s financial system, driven by a growing demand for Sharia-compliant financing and related financial products. Despite investor participation is currently below its potential, the market holds promising future growth.Purpose: This study investigates the effects of Islamic capital market literacy, knowledge of the Sharia online trading system (SOTS), and religiosity on perceived risk, emphasizing the mediating role of perceived Sharia compliance in lowering the perceived risk in investing in the Islamic capital market.Design/methodology/approach: Data from 294 Indonesian Muslims aged 18-49 without prior experience using Sharia online trading system (SOTS) were analyzed using multiple linear and hierarchical regression analyses.Findings/Result: Regression analysis results indicate that Islamic capital market literacy significantly lowers perceived risk, while knowledge of SOTS and religiosity do not have a significant individual effect. Interestingly, when combined, Islamic capital market literacy, knowledge of SOTS, and religiosity collectively lower perceived risk. The regression model explains 16.8 percent of the variance in perceived risk. Furthermore, perceived Sharia compliance is a mediating factor that strengthens the collective effect of these three factors on perceived risk. This interaction explains 25.4 percent of the variance in perceived risk, emphasizing the importance of enhancing perceived Sharia compliance to strengthen the collective effect of Islamic capital market literacy, knowledge of SOTS, and religiosity on the perceived risk of Sharia-compliant investments within the Islamic capital market. Conclusion: most respondents have a positive perceived Sharia compliance, with the highest positive response related to the periodic evaluation and delisting non-compliant stocks. In contrast, the lowest positive response was related to the effectiveness of the Sharia Online Trading System (SOTS) in preventing violations of Sharia principles and the criteria used to establish Sharia compliance.Originality/value (State of the art): Unlike prior studies that examine literacy, religiosity, or SOTS knowledge separately, this study demonstrates that perceived Sharia compliance is the key mechanism that enables these factors to jointly reduce perceived risk. This finding reframes perceived risk in the Islamic capital market as a collective and compliance-driven construct rather than the outcome of isolated individual factors. Keywords:   islamic capital market literacy, knowledge of SOTS, perceived risk, perceived sharia compliance, religiosity