Articles
<![CDATA[The Relationship Between Competitive Position And Efficiency in The Indonesian-Banking Sector: A Panel Data Analysis ]]>
<![CDATA[Aruddy Aruddy]]>;
<![CDATA[Noer Azam Achsani]]>;
<![CDATA[Hari Wijayanto]]>;
<![CDATA[Bagus Sartono]]>
<![CDATA[ Indonesian Journal of Business and Entrepreneurship (IJBE) Vol. 5 No. 1 (2019): IJBE, Vol. 5 No. 1, January 2019 ]]>
Publisher : <![CDATA[School of Business, IPB University (SB-IPB) ]]>
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DOI: 10.17358/ijbe.5.1.87
<![CDATA[Analysis on the relationship between competitive position and efficiency with the focus on the Indonesian commercial banks is still very rare. On the other hand, the commercial banks contains banks have systemic impact when they have troubles. The objective of this analysis is to examine the direction of the relationship between competitive position and efficiency which has managerial and policy implications for the parties concerned. The relationship was evaluated using Granger-causality test, where previous studies for Indonesian banking sector did not use this test. The quarterly financial data of each bank sample, balanced sheet and profit/loss statement, were used to calculate the efficiency score and Lerner index. The data were taken from the website of Otoritas Jasa Keuangan (OJK). Lerner index was used as an indicator for competitive position of banks, and higher index means a stronger competitive position. A score calculated by data envelopment analysis (DEA) method is a measure for bank efficiency. Dynamic model is estimated by generalized method of moment (GMM) to address endogeneity and heteroscedasticity issues. The study found that there is a significant one-way positive relationship between efficiency and competitive position, and the causality runs from efficiency to competitive position. The policy implication in this finding is that regulators should avoid implementing a regulation, which is counterproductive in strengthening bank’s ability to compete in the market.Keywords: competitive position, DEA, efficiency, Granger-causality, pricing power]]>
<![CDATA[Factors Affecting Satisfaction and Loyalty of Online Taxi-Motor Partners ]]>
<![CDATA[Luvy Mayanda]]>;
<![CDATA[Hari Wijayanto]]>;
<![CDATA[Istiqlaliyah Muflikhati]]>
<![CDATA[ Indonesian Journal of Business and Entrepreneurship (IJBE) Vol. 4 No. 2 (2018): IJBE, Vol. 4 No. 2, May 2018 ]]>
Publisher : <![CDATA[School of Business, IPB University (SB-IPB) ]]>
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DOI: 10.17358/ijbe.4.2.207
<![CDATA[A growing number of online motorcycle taxi is impacting a greater competition in its business to the extent that a business partner of the motorcycle taxi contributes a significant portion in the business. The purpose of this journal was to observe the influence of satisfaction level on partner loyalty in online taxi-motor application company in Bekasi city. The levels of satisfaction and loyalty of the business partner were measured by using CSI and CLI methods. 125 business partners, operating in Bekasi, became the respondents in this analysis based on Slovin method with 10% error margin. SEM methods were utilized to analyze the influence of the business partner characteristics on the level of satisfaction and the impact of level of satisfaction on business partner loyalty. In addition, IPA was used to analyze the significant attributes of business partner's level of satisfaction. CSI and CLI findings show that the business partners are within the satisfactory level and high loyalty towards its current partnership. SEM analysis reveals that there is a strong influence between the level of partner's satisfaction and loyalty. Better provision of trip rates has become a significant indicator for business partner during the partnership process which was examined by IPA method.Keywords: online transportation, satisfaction index, loyalty index, IPA, CSI]]>
<![CDATA[CONSUMERS’ SATISFACTION, TRUST, AND LOYALTY TOWARD THE HIJAB ONLINE SHOPS ]]>
<![CDATA[Arief Hendarto]]>;
<![CDATA[Hari Wijayanto]]>;
<![CDATA[Istiqlaliyah Muflikhati]]>
<![CDATA[ Indonesian Journal of Business and Entrepreneurship (IJBE) Vol. 7 No. 1 (2021): IJBE, Vol. 7 No. 1, January 2021 ]]>
Publisher : <![CDATA[School of Business, IPB University (SB-IPB) ]]>
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DOI: 10.17358/ijbe.7.1.41
<![CDATA[The number of hijab users in Indonesia is increasing. This study aims to analyze online hijab shop customers' characteristics, the level of satisfaction, trustworthiness, consumer loyalty, and the influence between the level of satisfaction and trust on consumers' loyalty to who buy the hijab at online stores in Indonesia. Data were collected through a questionnaire with a Likert Sala, made using Google Form and distributed online. The study sample of 153 people was determined using a purposive sampling technique. The collected data were analyzed using Structural Equation Modeling (SEM) - Partial Least Square (PLS). The results of this study indicate that: (1) online hijab shop customers are dominated by students aged 17-25 years; (2) Consumer Satisfaction Index (CSI) of 79%, which means that consumers are satisfied with the e-commerce services used by consumers; (3) online hijab shop customers are satisfied with the services provided by online hijab shops; (4) the level of customer loyalty is 72%, which means that consumers have high enough loyalty so that they are willing to keep shopping at the current online hijab shop and are willing to recommend it to consumers' colleagues or relatives; and (5) customer satisfaction and trust have a significant effect on customer loyalty. From the results of this study, it is recommended that online hijab shop managers provide hijab that suits students and students' needs to use them at school or campus and always maintain customer satisfaction and trust so that they continue to be loyal customers. Keywords: hijab online, IPA, satisfaction index, trust, loyalty index]]>
<![CDATA[Perilaku Pengguna Jasa Karantina Pertanian dalam Mendukung Perlindungan Sumberdaya Alam Hayati ]]>
<![CDATA[Ririn Setyowati]]>;
<![CDATA[Akhmad Fauzi]]>;
<![CDATA[Eko S. Pribadi]]>;
<![CDATA[Hari Wijayanto]]>
<![CDATA[ Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 9 No. 3 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan ]]>
Publisher : <![CDATA[Graduate School Bogor Agricultural University (SPs IPB) ]]>
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DOI: 10.29244/jpsl.9.3.577-586
<![CDATA[Agricultural quarantine is the forefront of Indonesia’s natural biodiversity and technical barrier in agricultural commodities trade. This study aimed to analyze the user behavior of service users in utilizing agricultural quarantine services in relation to supporting the protection of natural resources biodiversity. This study used primary data, with purpossive random sampling as the sampling technique. Multiple regression analysis, Customer Satisfaction Index (CSI), and Structural Equation Modelling(SEM) were carried on this study. Through CSI calculation obtains the CSI value is 78.26% at satisfied range.The result of multiple re-gression analysis test indicated that emphaty, responsiveness, reliability, assurance, and tangible have significant influence to service user satisfaction. Hypothesis testing using SEM so that it is known that the perception and service quality have significant influence on user behavior characterized by participation and compliance level. By knowing the level of participation and compli-ance of service users is useful in determining and formulating strategies to increase protection of natural resources biodiversity through quarantine action.]]>
<![CDATA[Pemilahan Volatilitas Harga Daging Sapi Menggunakan Metode Ensemble Empirical Mode Decomposition ]]>
<![CDATA[Fitria Hasanah]]>;
<![CDATA[Hari Wijayanto]]>;
<![CDATA[I Made Sumertajaya]]>
<![CDATA[ Jurnal Agro Ekonomi Vol 38, No 1 (2020): Jurnal Agro Ekonomi ]]>
Publisher : <![CDATA[Pusat Sosial Ekonomi dan Kebijakan Pertanian ]]>
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DOI: 10.21082/jae.v38n1.2020.41-54
<![CDATA[EnglishStaple food prices include the major determinants of households food security and general inflation. Beef is a basic food which its price is controlled by the Government of Indonesia. This study aims to identify the determinants beef price volatility using the Ensemble Empirical Mode Decomposition (EEMD) method. The data was a weekly series of Januari 2006–Desember 2018 obtained from the Ministry of Trade. EEMD extracts data into a number of Intrinsic Mode Functions (IMFs) that are independent which are then used to forecast beef prices with the ARIMA model. EEMD produced 6 IMFs and one residual. The residual contributed 99.85% to beef price volatility. This means that the long-term trend of beef prices is determined by the residual trends. The EEMD results indicate that the high beef price volatility in certain periods is mainly due to high demand during the Ramadhan month and Idul Fitri, import quota policy, and changes in exchange rates and petroleum prices. The IMF and residual based ARIMA forecasting model obtained MAPE value of 0.42% but with contradicting directions. The Government may use the import quota as a policy instrument for stabilizing the beef price.IndonesianHarga pangan pokok termasuk faktor penentu utama ketahanan pangan rumah tangga dan inflasi umum. Daging sapi adalah salah satu bahan pangan pokok yang harganya dikendalikan Pemerintah Indonesia. Penelitian ini bertujuan mengidentifikasi faktor penentu volatilitas harga daging sapi dengan metode Ensemble Empirical Mode Decomposition (EEMD). EEMD menguraikan data menjadi sejumlah Intrinsic Mode Function (IMF) yang saling bebas yang selanjutnya digunakan untuk melakukan peramalan harga daging sapi dengan model ARIMA. Data yang digunakan adalah harga daging sapi mingguan Januari 2006–Desember 2018 yang diperoleh dari Kementerian Perdagangan. EEMD menghasilkan 6 IMF dan satu sisaan. Sisaan IMF memberikan kontribusi sebesar 99,85% terhadap pergerakan harga daging sapi. Artinya bahwa tren jangka panjang harga daging sapi ditentukan oleh tren sisaan. Berdasarkan hasil EEMD, volatilitas harga daging sapi yang tinggi pada periode-periode tertentu dipengaruhi oleh beberapa faktor terutama tingginya permintaan selama bulan Ramadhan dan Idul Fitri dan kebijakan kuota impor, serta perubahan nilai tukar rupiah dan harga BBM. Model peramalan ARIMA yang diduga berdasarkan IMF dan sisaan IMF menghasilkan nilai MAPE sebesar 0,42%, namun arah perubahannya tidak bersesuaian. Disarankan agar pemerintah menggunakan kuota impor sebagai salah satu instrumen kebijakan stabilisasi harga daging sapi.]]>
<![CDATA[Kinerja Penyuluh dari Perspektif Petani dan Eksistensi Penyuluh Swadaya Sebagai Pendamping Penyuluh Pertanian ]]>
<![CDATA[Kurnia Suci Indraningsih]]>;
<![CDATA[Basita G. Sugihen]]>;
<![CDATA[Prabowo Tjitrpranoto]]>;
<![CDATA[Pang S. Asngari]]>;
<![CDATA[Hari Wijayanto]]>
<![CDATA[ Analisis Kebijakan Pertanian Vol 8, No 4 (2010): Analisis Kebijakan Pertanian ]]>
Publisher : <![CDATA[Pusat Sosial Ekonomi dan Kebijakan Pertanian ]]>
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DOI: 10.21082/akp.v8n4.2010.303-321
<![CDATA[Kinerja penyuluh pertanian PNS belum menunjukkan manfaat yang signifikan dalam peningkatan pendapatan dan kesejahteraan petani. Azas keseimbangan kegiatan penyuluhan, yang memperhatikan keseimbangan antara kebijakan, inovasi teknologi dengan kearifan masyarakat setempat, keseimbangan pemanfaatan sumberdaya dan kelestarian lingkungan, serta keseimbangan antar kawasan yang maju dengan kawasan yang relatif tertinggal, masih belum terlaksana dengan baik. Azas kerjasama dalam penyelenggaraan penyuluhan yang seharusnya dilaksanakan secara sinergis dalam kegiatan pembangunan pertanian, perikanan dan kehutanan serta sektor lain belum tercapai dengan baik. Azas berkeadilan, belum tercermin dalam penyelenggaraan penyuluhan yang memposisikan pelaku utama dan pelaku usaha berhak mendapatkan pelayanan secara proporsional sesuai dengan kemampuan, kondisi, serta kebutuhan pelaku utama dan pelaku usaha. Satu tenaga penyuluh pertanian PNS di Cianjur dan Garut membina 3-4 desa, ditambah tugas-tugas administratif. Kebijakan yang telah dicanangkan Kementerian Pertanian menetapkan satu desa satu penyuluh pertanian. Untuk pencapaian target tersebut, alternatif yang dipandang sejalan dengan UU RI Nomor 16 Tahun 2006 adalah merekrut ketua kelompok tani sebagai penyuluh swadaya yang bertugas mendampingi penyuluh pertanian PNS.]]>
<![CDATA[Simulation on the Use of LOSAT Data for Rice Field Mapping ]]>
<![CDATA[Trisasongko, Bambang H.]]>;
<![CDATA[Panuju, Dyah R]]>;
<![CDATA[Tjahjono, Boedi]]>;
<![CDATA[Barus, Baba]]>;
<![CDATA[Wijayanto, Hari]]>;
<![CDATA[Raimadoya, Mahmud A.]]>;
<![CDATA[Irzaman, Irzaman]]>
<![CDATA[ Makara Journal of Technology Vol. 14, No. 2 ]]>
Publisher : <![CDATA[UI Scholars Hub ]]>
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<![CDATA[Simulation on the Use of LOSAT Data for Rice Field Mapping. Since the launch of LAPAN-TUBSAT satellite in 2007, Indonesia has been developing mission on earth observation missions for various applications. The next generation mission, called LAPAN-ORARI Satellite (LOSAT), is currently under development and expected to be launched in 2011. In order to facilitate the applications, a thorough assessment of the sensor should be made. This paper presents an examination of simulated LOSAT data for rice monitoring and mapping purposes coupled with QUEST statistical tree. We found that three-band simulated LOSAT data were suitable for the task with reasonably high accuracy.]]>
<![CDATA[PEMANFAATAN ENSEMBLE LEARNING DAN PENGINDERAAN JAUH UNTUK PENGKLASIFIKASIAN JENIS LAHAN PADI ]]>
<![CDATA[Arif Handoyo Marsuhandi]]>;
<![CDATA[Agus Mohamad Soleh]]>;
<![CDATA[Hari Wijayanto]]>;
<![CDATA[Dede Dirgahayu Domiri]]>
<![CDATA[ Seminar Nasional Official Statistics Vol 2019 No 1 (2019): Seminar Nasional Official Statistics 2019 ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/semnasoffstat.v2019i1.247
<![CDATA[Pertanian adalah bidang yang sangat penting di Indonesia, sektor ini di tahun 2017 mencatat penyerapan tenaga kerja sebanyak 29.68% dari total seluruh pekerja (BPS, 2018), namun pentingnya sektor pertanian ini berbanding terbalik dengan data pertanian yang tersedia. Tahun 1998 Badan Pusat Statistik (BPS) bersama Japan International Cooperation Agency (JICA) telah mengisyaratkan overestimasi luas panen sekitar 17,07 persen. Ketidakuratan data pertanian ini kemudian diperbaiki pada tahun 2018 melalui kerjasama para stakeholder dengan menyusun suatu metodologi baru dalam menghitung luas lahan yang diberi nama kerangka sampel area. Selain metodologi yang sudah diperbarui, kemajuan teknologi dan teknik analisis di bidang ilmu pengetahuan juga mendukung perbaikan data pertanian. Citra satelit dan teknik klasifikasi menggunakan ensemble learning dapat dimanfaatkan dalam mengklasifikasikan jenis lahan padi. Pada penelitian ini digunakan citra satelit yang berasal dari United States Geological Survey (USGS) yaitu Landsat 8 dan teknik klasifikasi ensemble learning. Citra satelit dimanfaatkan untuk mengekstrak indeks vegetatif dari koordinat koordinat yang diteliti, sedangkan ensemble learning yang digunakan dalam penelitian ini yaitu Random Forest dan Boosting. Hasil pengolahan data menunjukkan Random Forest memiliki akurasi yang lebih tinggi daripada Boosting yaitu dengan nilai 76,52 untuk Random Forest dan 75,60 untuk Boosting. Keunggulan Random Forest terhadap Boosting tidak hanya dari sisi tingkat akurasi saja namun juga dari kestabilan model yang dibentuk.]]>
<![CDATA[Propensity Score Matching Pada Pemanfaatan Data Hasil Web Scraping Untuk Perbaikan Statistik Resmi ]]>
<![CDATA[Fatimah, Fatimah]]>;
<![CDATA[Wijayanto, Hari]]>;
<![CDATA[Afendi, Farit Mochamad]]>
<![CDATA[ Jambura Journal of Mathematics Vol 6, No 2: August 2024 ]]>
Publisher : <![CDATA[Department of Mathematics, Universitas Negeri Gorontalo ]]>
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DOI: 10.37905/jjom.v6i2.26568
<![CDATA[The Central Statistics Agency (BPS) welcomes the challenge of utilizing big data. One of the BPS publications that can be supported using big data is the inflation figure collected from the consumer price survey. One part of the consumer price survey is the HK-4 Survey, which contains house contract rates. So far, the house contract rates produced by BPS have been underestimated or lower than the actual situation. Improvements to house contract rates are carried out by matching BPS data and web scraping of house rental sites using Propensity Score Matching (PSM). The data used in this study includes DKI Jakarta, Bandung, and Semarang from September to October 2023. This study aims to find the best matching model using PSM to improve official statistics (house contract rates) by combining several propensity score value estimation methods and matching algorithms. Furthermore, the results matching the best model will be used to calculate the corrected house contract rates. The study results show that the best matching model generally uses logistic regression propensity score value estimation, the nearest neighbor matching algorithm with returns and uses a 1:1 ratio. The corrected contract rates are far above the official ones (DKI Jakarta corrected 87.27%, Bandung 316.15%, and Semarang 60.04%). Web Scraping allows it to improve official statistics because it is cost and time-saving, enhances the quality of official statistical data, and supports better decision-making in various sectors.]]>
<![CDATA[LDA Topic Modeling Analysis of Public Discourse on Indonesia’s Free Nutritious Meals Program (MBG) ]]>
<![CDATA[Cici Suhaeni]]>;
<![CDATA[Mualifah, Laily Nissa Atul]]>;
<![CDATA[Wijayanto, Hari]]>
<![CDATA[ IJID (International Journal on Informatics for Development) Vol. 14 No. 1 (2025): IJID June ]]>
Publisher : <![CDATA[Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta ]]>
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<![CDATA[This study investigates public discourse on Indonesia's Free Nutritious Meals (Makan Bergizi Gratis/MBG) program through Latent Dirichlet Allocation (LDA) topic modeling of YouTube comments. Filling a research gap on online public opinion regarding the MBG policy, this study identifies dominant themes and discursive patterns in public perception. A three-topic model, validated through coherence score evaluation and pyLDAvis visualization, reveals key topics: concerns over food prices and distribution, perceived benefits for children and society, and emotionally and politically driven reactions. The findings provide valuable insights into public opinion, while also highlighting challenges in processing Indonesian-language text, such as informal language and noisy data. This study contributes to understanding public perceptions of social policies in digital environments and recommends future research directions, including improved text preprocessing and alternative topic modeling approaches. By shedding light on online public discourse, this research informs policymakers and stakeholders about the effectiveness and potential areas for improvement in the MBG program.]]>
