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All Journal The Indonesian Journal of Business Administration JURNAL TEKNOLOGI LINGKUNGAN Jurnal REP (Riset Ekonomi Pembangunan) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Ahmad Sutanto, Ahmad
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science

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Informasi Sebaran Titik Panas Berbasis WebGIS untuk Pemantauan Kebakaran Hutan dan Lahan di Indonesia Hidayat, Taufik; Priyatna, Muhammad; Sutanto, Ahmad; Alkhudri, Aby; Khomarudin, Rokhis
Jurnal Teknologi Lingkungan Vol. 20 No. 1 (2019)
Publisher : Center for Environmental Technology - Agency for Assessment and Application of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.551 KB) | DOI: 10.29122/jtl.v20i1.2961

Abstract

ABSTRACTThe Remote Sensing Application Center – LAPAN has resulted in information on hotspot spreading. Availability of information monitoring the distribution of hotspots latest rapid, precise and accurate can improve the remote sensing application to support the management of forest resources and establish a monitoring system that is accountable and can be a reference in the organization of activities of forest fire control and land at the same time participate in managing, maintaining safety as well as the preservation of Indonesia’s natural resources is sustainable. Given the importance of information and communication in disaster crisis management, efforts to facilitate the implementation of dissemination of hotspots distribution information to the wider community should properly be realized. One application is to develop a Web-based dissemination system Geographic Information System with Geonode application. The method used in this research is a prototype with open technology. Geonode can integrate that information to the layers with web mapping systems and the internet. The opensource geoportal system is built, the result of a combination of Django framework and Python programming language that is capable of providing dynamic spatial visualization interactively and connected to other electronic information networks. This Dissemination System can be used for decision makers in preparation of planning, development, monitoring, and response to an emergency disaster of forest and land fires in Indonesia, as well as a reference in the field of innovative technology and application of Geospatial information.Keyword: hotspots, forest fires, emergency response, Geonode, dissemination, web applications  ABSTRAKPusat Pemanfaatan Pengideraan Jauh-LAPAN telah menghasilkan informasi sebaran titik panas. Ketersediaan informasi pemantauan sebaran titik panas terkini yang cepat, tepat dan akurat dapat meningkatkan pemanfaatan penginderaan jauh untuk mendukung pengelolaan sumber daya kehutanan dan membangun sistem pemantauan yang akuntabel dan dapat menjadi acuan dalam penyelenggaraan kegiatan pengendalian kebakaran hutan dan lahan sekaligus ikut serta dalam pengelolaan, menjaga keselamatan serta kelestarian sumber daya alam Indonesia yang berkelanjutan. Mengingat pentingnya informasi dan komunikasi dalam penanggulangan krisis akibat  bencana, maka upaya memudahkan pelaksanaan penyebarluasan informasi sebaran titik panas masyarakat luas dengan baik perlu diwujudkan. Salah satu pengaplikasiannya adalah dengan mengembangkan sistem diseminasi berbasis Web Sistem Informasi Geografis dengan aplikasi Geonode. Metode yang digunakan dalam penelitian ini adalah purwarupa dengan teknologi terbuka. Geonode dapat mengintegrasikan informasi tersebut dalam layer-layer sistem pemetaan web dan internet. Geonode merupakan sebuah sistem geoportal opensource gabungan antaran framework Django dan bahasa pemograman Python yang mampu menyajikan visualisasi spasial dinamis secara interaktif dan terhubung ke jaringan informasi elektronik lainnya. Sistem diseminasi ini dapat dipakai untuk pengambilan keputusan dalam persiapan perencanaan, pembangunan, pengawasan, dan respon terhadap keadaan darurat bencana kebakaran hutan dan lahan di Indonesia, serta sebagai referensi dibidang teknologi inovatif dan penerapan informasi Geopasial.Kata kunci: titik panas, kebakaran hutan, tanggap darurat, Geonode, diseminasi, aplikasi web  
Strategy Formulation for Value Added Distributor in Information and Communication Technology Case of PT HDI Sutanto, Ahmad; Wicaksono, Agung
The Indonesian Journal of Business Administration Vol 3, No 5 (2014)
Publisher : The Indonesian Journal of Business Administration

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Abstract

Abstract - Business role in the ICT industry can be divided into three categories, the manufacturer of the ICT product, distributor who distributed hardware from manufacturer to the reseller or end-user, and the service integrator who deliver ICT product to the end-user. In its development, the distributor is not only distributed the product but also adding value to its product. Some of the value are educated the reseller or end user about the product, doing market research, and providing after sales services to manage user satisfaction. That type of distributor is called Value Added Distributor (VAD). VAD play significant role in the development of ICT Industry. From the manufacturer perspective VAD can boost the product penetration because it is cut the cost of marketing. From the reseller perspective it gives them focus to the existing product to serve and rely to VAD for new product development. From the user perspective it can cut the delivery time because the VAD provide some stock. There are lots of VAD that operate and competing in Indonesia, one of them is PT Helios Distributor Indonesia (HDI). As a new company that established in 2012, HDI facing though condition from the existing VAD. Therefore HDI must formulize the business strategy in order to grow and win the competition. From the research analysis base on PEST writer found that Indonesia still has opportunity for VAD to operate in Indonesia, since the requirement and the regulation of Indonesian government that supporting ICT industry. Focus differentiation for the new product and focus cost differentiation for the mature product is the business level strategy that writer propose for HDI. In term of core competency writer propose 3 core competencies: core competency in term of ability to provide total solution for the customer, ability to build strategic alliance, and ability to analyst market requirement and technology trend forecasting.  Keyword: value added distributor, business level strategy, core competency 
PERBANDINGAN KLASIFIKASI BERBASIS OBJEK DAN KLASIFIKASI BERBASIS PIKSEL PADA DATA CITRA SATELIT SYNTHETIC APERTURE RADAR UNTUK PEMETAAN LAHAN Sutanto, Ahmad; Trisakti, Bambang; Arymurthy, Aniati Murni
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 11 No. 1 (2014)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v11i1.3300

Abstract

Utilization of remote sensing data for land mapping has long been developed. In Indonesia, as a tropical region, the cloud becomes a classic problem in observing the Earth’s surface using optical remotely sensor satellite. Synthetic Aperture Radar (SAR) sensor satellite has the ability to penetrate clouds so it can solve cloud cover problems. In this study, the ALOS PALSAR data were used to assess object-based and pixel-based classification techniques. This data was chosen due to its capacity for object recognition based on backscatter characteristics. Object-based classification using the methods of Statistical Region Merging (SRM) for the object segmentation process and Support Vector Machine (SVM) for the classification process, whereas the pixel-based classification using SVM method. In the classification stage, several features of Target Decomposition and Image Decomposition of ALOS PALSAR data have been tested. The accuracy assessment of the classification was conducted using confusion matrix of the Region of Interest (ROI) data using the QuickBird data. Implementation of the object-based classification produced better result comparing to pixel-based classification. The number of optimal features is seven which consisted of three features Freeman Decomposition (Red, Green, Blue), Entropy, Alpha Angle, Anisotropy and Normalized Difference Polarization Index (NDPI). Overall accuracy reached 73.64% for the result of the object-based classification and 62.6% for the pixel-based classification.
PERBANDINGAN METODE KLASIFIKASI PENUTUP LAHAN BERBASIS PIKSEL DAN BERBASIS OBYEK MENGGUNAKAN DATA PiSAR-L2 Manalu, R. Johannes; Sutanto, Ahmad; Trisakti, Bambang
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 1 (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v13i1.3319

Abstract

PiSAR-L2 program is an experimental program for PALSAR-2 sensor installed on ALOS-2. Research collaboration had been conducted between the Japan Aerospace Exploration Agency (JAXA) and Ministry for Research and Technology of Indonesia in 2012 to assess the ability of PiSAR-L2 data for some applications. This paper explores the utilization of PiSAR-L2 data for land cover classification in forest area using pixel-based and object-based methods, then carried out comparison between the two methods. PiSAR-L2 data full polarization with 2.1 level for Riau province was used. Field data conducted by JAXA team and landcover map from WWF were used as references to collect input and evaluation sample. Pre-processing was done by doing backscatter conversion and filtering, then classification was conducted and it’s accuracy was tested. Two methods were used, 1) Maximum Likelihood Enhance Neighbor classifier for pixel-based and 2) Support Vector Machine for object based classification. The effect of spatial resolution on classification result was also analyzed. The results show that pixel-based produced mixed pixels "salt and pepper", the classification accuracies were 62% for 2.5 m and 83% for 10 m spatial resolution. While the object-based has some advantages: high homogeneity (absence of mixed pixels), clear and sharp boundary among classes, and high accuracy (97% for 10 m spatial resolution), although it was still found errors in some classes.
DIGITAL TRANSFORMATION AND STATE-OWNED BANK'S PERFORMANCE: THE MODERATING EFFECT OF RISK PREFERENCE Sutanto, Ahmad; Febriansyah, Wivan; Ermawati, Wita Juwita
Jurnal REP (Riset Ekonomi Pembangunan) Vol. 9 No. 1 (2024): April 2024
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/rep.v9i1.1556

Abstract

This study examines the impact of digital transformation on the financial performance of Indonesian state-owned banks, using risk preference as a moderating variable. The study utilizes data from the annual financial reports of Indonesian state-owned banks from 2019 to 2023. Digital transformation is measured through text mining of annual reports, bank performance is primarily indicated by Net Interest Margin (NIM), and risk preference is assessed using the Z-score. Given the presence of autocorrelation in the fixed effects model, the Generalized Method of Moments (GMM) is employed. The results reveal that digital transformation does not directly affect bank performance. However, this relationship is significantly moderated by the banks' risk preferences. Banks with higher risk preference tend to leverage digital transformation more effectively, resulting in increased profitability and higher risks. Conversely, banks with lower risk preferences adopt digital technologies more cautiously, achieving steadier but potentially lower gains. These findings offer valuable insights for policymakers and bank managers in the Indonesian banking sector, emphasizing balancing technological advancements with risk management to maintain financial stability. This study highlights the crucial role of digital transformation in enhancing bank performance when aligned with risk management strategies and contributes to the understanding of the complex relationship between digital transformation, risk preference, and bank performance in emerging economies, particularly in the context of state-owned banks.
Co-Authors A.A. Ketut Agung Cahyawan W Agung Wicaksono Alkhudri, Aby Aniati Murni Arymurthy Bambang Trisakti Febriansyah, Wivan Khomarudin, Rokhis Manalu, R. Johannes Muhammad Priyatna, Muhammad