Jurnal Penelitian Pos dan Informatika (JPPI) is a scientific journal which publishes scientific papers on science and technology in the fields of logistics, post,broadcasting, informatics, and telecommunica-tions this journal was first published in 2011, with publishing frequency of twice a year in September and December. This journal aims to develop and enhance the knowledge and become a place to exchange ideas for researchers, academics, and practitioners, in particular, in the fields of logistics, post, broadcasting, informatics, and telecommunications. Our editor receive submission of scientific papers in the fields of logistics, post, broadcasting, informatics and telecommunication in the form of research results, theory reviews, or other scientific works (e.g empirical analysis and case studies) that are original and have not been published in other media. Journal of Post and Information Technology Research has been reaccredited since 2017 by the Indonesian Institute of Sciences (LIPI) and by RISTEK DIKTI since 2017. Accredited By: LIPI: 771/AU1/P2MI-LIPI/08/2017 RISTEKDIKTI: 32a/E/KPT/2017 Registration For everyone who is interestedto access our journal, as a writer or a reviewer please click a registration button Guidelines For knowing about guideliness submit article, please click the guide button Online Submission Please Log in and follow theguideliness
Puslitbang Sumber Daya, Perangkat, dan Penyelenggaraan Pos dan Informatika
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Copyright (c) 2021 Jurnal Penelitian Pos dan Informatika https://creativecommons.org/licenses/by-nc-sa/4.0
Design and Development Archipelago Architecture Learning Media using Qr Code Technology
In this digital era, almost all aspects of human life depend on technology, education, business, government, and even daily life. Along with the increasing advances in computer technology used for human interest, the science that supports it also develops, one of which is the field of Human and Computer Interaction often called HCI. Input-related methods are essential to consider in HCI; one example of input is Quick Response Code (QR-Code) technology. QR-Code technology has been widely applied in teaching and learning, such as attendance models and foreign language learning media. In this research, we also use QR-code technology to introduce the culture of the architecture, especially about traditional houses in Indonesia combined with motor training through coloring activities. It is hoped that children will have no problem writing as they get older and help develop creativity. The method used in this research is the Human and Computer Interaction (HCI) test method focused on the design of the user's system so the implementation of the system can be carried out efficiently by taking into user needs. Based on research that has been done, QR-Code technology can be used to support learning media.
The Role of the Information and Communication Technology Sector in the Indonesian Economy
The contribution of ICTs to the overall production system in the economy is considered as one of the factors for growth and development of the national economy. The purpose of this research is to investigate the contribution of the ICT sectors to the Indonesian economy through the role of the ICT sectors in encouraging the growth of other sectors with linkage analysis, multiplier analysis and causative matrix analysis. Furthermore, this study investigates the sources of growth in the ICT sectors by decomposing the sources of change in its output. In particular, the input-output approach is adopted to describe the production activities and diffusion of the ICT sectors in the Indonesian economy for the period 2000-2014. The results show that apart from having large output multipliers, the ICT Manufacturing sector also encourages exports. The results of the decomposition show that the influence of the previous technology coefficient has a significant contribution to the output of the ICT sectors. However, these values have diminished in recent periods so that the role of the Indonesian ICT sectors as a GPT sector has become less than optimal.
Ensemble Method Builds a Predictive by Integrating Several Models for Accurate Answer Prediction on Chatbot
One of the technological advances that has had a positive impact is the Chatbot. A chat service which is actually a feature that has been very often used by tech-savvy people. But the difference is, the ones who reply in the chat process are robots or virtual characters. The chatbot will provide answers to the questions given to it which is basically the chatbot assigned to understand what context the user (user) means, then reply to it with the appropriate context. However, each context has a different input, human language has a very flexible way so that it is often found inaccuracies in the prediction of answers given by Chatbot. This could be due to the incorrect choice of algorithms for the classification of the context or the lack of training data provided. To overcome this, this study will focus on strengthening the prediction of chatbot answers with the method of the machine learning algorithm (Machine Learning) ensemble 5 classification technique heterogeneously between basic classifiers and meta-algorithms and using maximum voting (Majority Vote) or Hard Voting on type ensemble. Classification is the process of finding a model or pattern that can describe and differentiate classes in a dataset. The goal is that the model can be used to predict objects with unknown class labels. It was found that the accuracy results were 86% for the data set with 6 classes, the avg Macro for each precision and recall was 92%, and the f1-score was 89%. Weighted avg for precision is 93% and each for recall and f1-score is 86%
Implementation of Backoff Algorithm Bidirectional Forwarding Detection (BFD) and MPLS VRF for Fast Recovery Mechanism End-to-End Multi-Circuit (E2E)
Implementing and modeling a multi-circuit backbone technology in a service provider environment, for a multi-circuit link method with a fast recovery and redundancy process, is one of the most useful and promising developments and trends in building a policy system for mapping packet paths for future systems generation. The use of streaming video conferencing, mobile user devices and mobility, the shift from TDM networks to IP based, cloud computing services, smart cities, and the Internet of Things (IoT), and Content Delivery Network (CDN) are the main generators of growth. Failure mechanism and fast recovery of link failure in connectivity tested using liveness with minimum link primary value intervals (10), secondary links (20) and tertiary links (30). The smaller the interval value in the policy specified in the preference, the rule will be used or take the recovery path link action first. The process that will be experienced when the main link fails be connected or active on the secondary link. The learning process of the back-off algorithm then exchanges update packages with interconnected neighbors. The next process is 10 seconds to receive traffic from a failed link. The failure transfer link to the process will not take time, can be interpreted as a 0-1 process, and there is no packet drop and loss on the link that performs the recovery process.
Desain Sistem Speech Recognition Penerjemah Bahasa Toraja Menggunakan Hidden Markov Model
Bahasa daerah toraja merupakan salah satu bahasa daerah yang ada di provinsi sulawesi selatan tepatnya di kabupaten Tana Toraja Indonesia. Indonesia memiliki beragam Bahasa daerah, Bahasa daerah merupakan salah satu ciri budaya suatu daerah khususnya Bahasa Toraja. Penelitian ini bertujuan untuk membuat sistem Speech Recognition pada penerjemah Bahasa daerah Toraja dengan menggunakan Hidden Markov Model. Hidden Markov Model merupakan metode klasifikasi yang menggunakan pembelajaran dari Baum-Welch, yang mengestimasi beberapa parameter untuk menemukan model terbaik yang menggambarkan training set. Hidden Markov adalah algoritma berbasis probabilistik yang digunakan untuk menentukan kelas kata terbaik untuk setiap kata dalam data uji. Hasil dari penelitian ini adalah sistem penerjemah bahasa daerah Toraja yang menggunakan metode Hidden Markov dapat membantu siapa saja yang belum mengetahui menggunakan dan arti Bahasa Indonesia dari Bahasa daerah Toraja. Berdasarkan pengujian Black Box untuk masing-masing fungsional pada sistem penerjemah bahasa daerah Toraja diperoleh hasil yang valid; demikian juga, pengujian logika menggunakan metode Hidden Markov bebas dari kesalahan logika. Kemudian berdasarkan pengujian kuesioner yang telah diperoleh dari 20 responden diperoleh hasil 80.2% sangat setuju jika sistem penerjemah tersebut bermanfaat.
Copyright (c) 2021 http://creativecommons.org/licenses/by-nc-sa/4.0
Online Shopper Intention Analysis Using Conventional Machine Learning And Deep Neural Network Classification Algorithm
The use of e-commerce throughout the world in recent years is very rapid. The continuous increase in sales shows that e-commerce has huge market potential. Store profits are derived from the process of assessing data to identify and classify online shopper intentions. The process of assessing the data uses conventional machine learning algorithms and deep neural networks. Comparison of algorithms in this study using the python programming language by knowing the value of Accuracy, F1-Score, Precision, Recall, and ROC AUC. The test results show that the accuracy of the deep neural network algorithm is 98.48%, the F1 score is 95.06%, precision is 97.36%, recall is 96.81% and AUC is 96.81%. So, based on this research, deep neural network data mining techniques can be an effective algorithm for online shopper intention data sets with cross-validation folds of 10, six hidden layer decoder-encoder variations, relu-sigmoid activation function, adagrad optimizer, and learning rate of 0.01 and no dropout. The value of this deep neural network algorithm is quite dominant compared to conventional machine learning algorithms and related research.
Copyright (c) 2021 Jurnal Penelitian Pos dan Informatika http://creativecommons.org/licenses/by-nc-sa/4.0
Pengembangan Talenta Nasional bidang Riset dan Inovasi melalui Perencanaan Pelatihan TIK berbasis Gender untuk ASN dan Masyarakat
Di Indonesia, pengarusutamaan gender dalam pembangunan nasional telah diatur dalam Instruksi Presiden No. 9 Tahun 2000. Melalui instruksi tersebut, setiap lembaga pemerintah dan pemerintah daerah dapat mengintegrasikan program pemberdayaan perempuan ke berbagai sektor pembangunan sesuai dengan kewenangan dan fungsinya masing-masing. Persoalannya adalah implementasi atas instruksi presiden belum sepenuhnya berjalan dengan baik. Kajian mengenai “Pengembangan Talenta Nasional bidang Riset dan Inovasi TIK: Perencanaan dan Penganggaran berbasis Gender untuk ASN dan Masyarakat” adalah salah satu upaya dalam merespon peraturan tersebut. Untuk mendapatkan peta strategi dan prioritas keputusan tentang Pengembangan Talenta Nasional bidang Riset dan Inovasi TIK ini menggunakan metode Meta-SWOT. Variable input terdiri dari sumber daya dan kompetisi/tantangan, yang dianalisis menggunakan analisis internal berdasarkan rarely, imitability, dan organization V(RIO). Adapun analisis eksternal didasarkan pada aspek Politik, Ekonomi, Sosio-Kultur, Teknologi, Ekologi, dan Legal/Hukum (PESTEL). Hasil analisis internal dan eksternal selanjutnya digunakan untuk melakukan evaluasi strategi. Pada Variable output, terdiri dari Peta kompetitif, peta strategi, dan prioritas strategi. Hasil penentuan strategi pengembangan Talenta Nasional bidang Riset dan Inovasi TIK ini meliputi dua program yakni (1) Assessment Centre Program (ACP); (2) Woman in Technology Development Program (WiTDev) yang dikaji dari tiga aspek, yakni aktivitas, produktivitas, dan sustainability. Kesimpulan kajian ini adalah bahwa sektor pendidikan bagi perempuan sangat penting dalam mendorong terjadinya transformasi digital nasional berbasis gender. Pendidikan talenta digital perempuan adalah salah satu kunci pembangunan ekonomi digital berbasis gender. Strategi pembangunan sumber daya talenta bagi perempuan harus tetap dikoordinasikan dengan bidang prioritas dan tujuan pembangunan nasional yang ditetapkan oleh negara, agar ketika terjadi perubahan arah kebijakan, pembangunan sumber daya talenta bagi perempuan dapat segera menyesuaikan.
Analisis Aspek-aspek Kepatuhan Penyelenggara Pos di Indonesia
Studi ini dilakukan untuk menemukenali aspek aspek kepatuhan yang harus dipenuhi oleh penyelenggara pos dalam menjalankan bisnisnya. Sejauh ini aspek –aspek kepatuhan penyelenggara pos dilihat berdasarkan pemenuhan penyampaian Laporan Penyelenggaraan Pos (LPP) kepada Direktur Jenderal Penyelenggaraan Pos dan Informatika (Dirjen PPI) sebagaimana amanah yang tertuang dalam Peraturan Menteri Kominfo No.7 Tahun 2018 . Namun pada dasarnya aspek aspek kepatuhan tersebut perlu diidentifikasi apa saja kewajiban atau komitmen yang harus dipenuhi penyelenggara pos. Penyusunan standar indeks kepatuhan penyelenggara pos dapat dilihat berdasarkan aturan/ regulasi yang menerangkan tentang kewajiban dan komitmen yang harus dipenuhi penyelenggara pos. Klasifikasi tentang kewajiban dan komitmennya dapat dibagi menjadi 3 dimensi : Asas Penyelenggaraan Pos (Kecepatan & Keamanan, Kerahasiaan, Perlindungan, Kemandirian, dan Kemitraan), Regulasi & Kebijakan (Perizinan Pos, Bea/Cukai/Pajak, Karantina, Perlindungan Konsumen) dan Standar Layanan Pos Komersial (Keamanan dan Kerahasiaan, Pengaduan, Saran dan Informasi, Sarana, Prasarana, dan/ Fasilitas, Ganti Rugi, Informasi Layanan). Secara umum indeks kepatuhan penyelenggara pos menunjukkan nilai cukup memenuhi kepatuhan dengan nilai 0,78. Berdasarkan dimensi kepatuhan yang membangunnya dimensi asas penyelenggaraan pos merupakan dimensi yang mendapat predikat telah memenuhi kepatuhan (zona hijau). Sementara itu dua dimensi lainnya yakni regulasi& kebijakan, dan Standar Layanan Pos Komersial mendapatkan predikat cukup memenuhi kepatuhan (zona kuning)
Pengaruh Literasi Informasi terhadap Penggunaan E-Resources Mahasiswa STMIK Tasikmalaya dengan PLS-MGA
E-resources kini menjadi salah satu komponen terpenting dalam lingkungan akademik, terlebih di masa pandemic COVID 19 ini pembelajaran secara daring. Hasil temuan di lapangan menunjukkan bahwa masih banyak mahasiswa yang menyelesaikan tugas akademik dengan mencari di internet, tanpa membaca, memahami, mengolah informasi tersebut. Mahasiswa yang memiliki kemampuan literasi informasi yang baik mampu memanfaatkan berbagai e-resources untuk kegiatan akademiknya. Kemampuan dalam mengolah informasi ini seringkali dipengaruhi oleh factor latar belakang dari mahasiswa, seperti umur, pendidikan, pengalaman dan intelegensia yang tidak jarang memiliki efek pada nilai pengamatan. Dalam pemodelan persamaan struktural, kondisi ini dapat diakomodasi dengan pendekatan pemodelan multigroup. Tujuan penelitian ini untuk mengetahui tingkat literasi infromasi dan penggunaan e-resources mahasiswa dan membuat model simultan antara literasi informasi-penggunaan e-resources dengan memperhatikan faktor latar belakang mahasiswa di STMIK Tasikmalaya. Pengambilan sampel menggunakan stratified random sampling dengan kelas kuliah dan program diploma sebagai stratanya. Metode yang digunakan untuk penelitian adalah kuantitatif dengan analisis Partial Least Square Multigroup Analysis (PLS-MGA). Hasil analisis menunjukkan bahwa factor latar belakang kelas kuliah memperkuat pengaruh literasi informasi pada penggunaan e-resources dimana untuk kelas karyawan pengaruh ini jauh lebih kuat dibandingkan pada kelas regular.
Integration of Low Interaction Honeypot and ELK Stack as Attack Detection Systems on Servers
The high need for information technology that can be accessed anywhere and anytime indirectly opens a big opportunity for irresponsible parties to attack and destroy the system. The server farm is one of the targets most hunted by attackers, intending to damage, and even retrieving victim data. One of the efforts to deal with this problem is to add server security by using honeypot. The existence of a honeypot is one of the efforts to prevent system hacking by creating a fake server to divert attackers access. In its application, the logs generated from the honeypot are only letters and numbers, making it difficult to analyze the logs. It became a problem it will being a lot of log data being processed. To make it easier for administrators in analyzing logs, a visualization system using the ELK Stack is proposed. Honeypot and ELK Stack integration can be a security system solution in detecting attacks while providing visualization to administrators. Five testing schemes were carried out to provide a comparative study between the low interaction honeypot Cowrie and Dionaea. Cowrie delivers a better performance detection system (real-time) compared to the detection system offered by Dionaea, and the average delay time is 3.75 seconds, while ELK managed to provide better monitoring results to administrators through its visualization.
Analisis Performansi Baremetal Provisioning pada Openstack Platform Berbasis Remote Virtualisasi Menggunakan Layanan Ironic
Penggunaan cloud computing sudah cukup banyak, bahkan banyak dipergunakan untuk melakukan pekerjaan tugas komputasi kinerja tinggi. Cloud data center mengandalkan teknologi virtualisasi untuk meningkatkan produktivitas dan mengurangi kompleksitas yang akan diberikan ke pengguna akhir dalam mengakses layanannya yang diberikan. Aplikasi yang berjalan dengan menggunakan teknologi virtualisasi tidak terhindarkan terjadinya penurunan performansi. Kebutuhan konsumen akan komputasi tinggi yang tidak dapat dilakukan pada teknologi virtualisasi dapat disolusikan dengan melakukan komputasi langsung di atas baremetal namun tetap pada kompleksitas yang sangat rendah. Openstack direpresentasikan sebagai platform opensource, populer sebagai Infrastructure as a Service (IaaS) cloud platform yang bisa diimplementasikan sebagai private cloud maupun publik cloud. Openstack sudah mendukung dalam melakukan teknik virtualisasi maupun mengakuisisi baremetal. Penelitian ini dilakukan uji performansi antara baremetal dan virtual mesin dengan melakukan beberapa pengujian. Pengujian performansi berdasarkan sumber daya infrastruktur dari komputasi awan tersebut seperti CPU processing time, network throughput TCP, disk I/O, memory test throughput, jitter, dan packet loss. Hasil pengujian yang didapat, performansi baremetal ironic lebih baik dari virtual mesin.
Naive Bayes Classifier Optimization on Sentiment Analysis of Hotel Reviews
Feature extraction plays an important role in the sentiment analysis process, especially of text data. The Naive Bayes Classifier performs well on low feature dimensions. However, the accuracy provided is not optimal. To acquire optimal machine learning model, information gain method, evolutionary algorithm, and swarm intelligent algorithm are applied. The objective of this study is to determine the performance of the Particle Swarm Optimization (PSO) to optimize the Naive Bayes Classifier. Vectorization of words is carried out using TF-IDF. In order to produce high PSO performance, the PSO-NBC model is tested with several parameters, namely the number of particles (k = 3), setting of the number of iterations and inertia weight, individual intelligence coefficient (c1 = 1), and social intelligence coefficient (c2 = 2). Inert weight is calculated using the formulation (w = 0.5+ Rand ([- 1,1])). In conclusion, PSO is able to solve the problem space of text-based sentiment analysis. PSO is able to optimize the accuracy of Naive Bayes at a value of 89% to 91.76%. PSO performance is determined by the parameters used, especially the number of particles, the number of iterations, and the weight of inertia. A large number of particles accompanied by an increase in inertia weight can increase accuracy. The number of particles 20-30 has reached the optimal accuracy.
Copyright (c) 2020 Jurnal Penelitian Pos dan Informatika
Access Point Placement Recommendation Using Cost-231 Multiwall Propagation
This study provides an overview of signal distribution pattern using Cost-231 Multi-Wall (MWM) propagation model. The signal distribution pattern is used as a reference in projecting indoor Access Points (AP) placement in Malang Institute of Asia. The MWM approach estimates the actual radio wave propagation value for measurements are made by considering obstacles between APs and user devices. The study recommends 10 optimal points of AP placement for the 1st, 3rd and 4th-floors, and 7 optimal points for the 2nd-floor. Determination of these placement points was based on the estimated signal strength obtained by users, at -50dBM up to - 10dBm, which is the range for good and excellent signal category.
A Study on the Potential of the Development of Software Applications and Digital Content Industrial Ecosystem in Indonesia
The phenomenon of digitization has changed human civilization at a very massive level in various aspects of life. In line with the advancement of ICT, so have the development of innovation and the software and digital content industry. Competition in the software industry is starting to develop. The ability to increase the company's production is starting to show significant changes. Industry competition in the globalization process requires existing companies to be able to develop industrial capabilities with all industrial models and policies. The role of government is still an important factor in creating an environment in which the domestic telematics industry can gain a competitive advantage. This study aims to map the potential of the digital content and software application industry in Indonesia. This study was conducted qualitatively through literature studies. The output of this study produces a mapping of the potential for the software and digital content industry in Indonesia. The results of this study can support recommendations for policies related to the development of the software application industry and digital content in Indonesia
Implementation Scheme SLA and Network Availability Mechanism for Customer Service Provider
Increasingly complex network heterogeneity and network monitoring tasks become the management concentration of a large distributed production infrastructure with various business services requiring a centralized control monitoring system, with increasing network size, heterogeneity and complexity. The network monitoring and management solutions available are not only expensive but also difficult to use, configure and maintain. Manually routing pins to the wrong device on a large complex network is very complicated and time-consuming for Service Provider (SP). Thus, it is necessary to have an automatic system that immediately reports to the network Service Provider (SP) monitoring system regarding the type of error or alert, Network Availability and Service Level Agreement (SLA). This research presents the modeling design and implementation of Network Availability and SLA network systems for Service Provider (SP) organizations, by being based on open-source programming tools (Zabbix System) and intelligently integrating to monitor network devices, especially to get Network Availability and SLA parameters and values on a customer or customer. Monitoring Customers devices in the network in the form of a module alert parameter that will be applied so that it is seen and can be said to be a universal Plug & Play technology concept (UPnP). Monitoring system developed will provide value and quality of service (qos) output parameters in the form of measuring and taking test value parameters Network Availability and SLA modeling, which will produce an accurate Service Level Agreement (SLA) value parameter test, and become a reference for an agreement between a service provider and a customer. As a guarantee or link availability for the services provided by Service Provide (SP) to customers. With the SLA value fulfilled at 99.9% with a 99.5% agreement, Network availability is met with a percentage of 98.89% and Down time with a percentage of only 1% of the agreement 2%, and the latency value of the terrestrial transmission media obtained is 2 ms, from the 8 ms agreement and the obtained VSAT transmission media is 500-600 ms from the agreement latency value is 700 ms.
Economic Value of Equalization of Access and ICT Infrastructure for Rural Communities
The government has initiated access and telecommunication infrastructure equalization program in Indonesia by deploying BTS to provide signals in the frontier, outermost, and least developed (3T) regions and providing rural internet access services. Government investment through the provision of telecommunications and internet access in rural areas is expected to be able to provide economic benefits for improving the people’s welfare. This study aims to identify the economic benefits of equitable access and infrastructure in rural areas (mainly 3T villages) with the Ranti Generic IS/IT Business Value Table. Based on the study results, it can be concluded that in ideal conditions, equitable access to the internet and telecommunications infrastructure can contribute directly to cost efficiency for rural communities by reducing distribution costs and telecommunications costs. Also, the use of telecommunications and internet access can improve the people’s welfare by increasing business capacity and expanding market segmentation.
Synergy of Over the Top Services Operation and Telecommunication Operators in Indonesia
reform program. One part of the program is issuing online business licenses. As a form of compliance, the Ministry of Trade (MoT) needs to implement the Integrated Trade Licensing System (ITLS), where the system’s values will be made possible through a collaboration between government agencies. This condition illustrates a self-organizing network of organizations where each agency will be able to contribute its values and result in a new set of values. This concept is aligned with the extended organization. This paper aims to examine how ITLS can successfully work through government agencies’ collaboration in an extended organization. The research methodology used a qualitative approach by collecting data through documentation study, observation, and interviews. The study found that trade licenses can only be issued if the value given by the extended organization is sent to ITLS with the assistance of information technology (IT). This research is expected to be a lesson learned of extended organization concept in government agencies.
Data Governance Maturity Level at the National Archives of the Republic of Indonesia
The National Archives of the Republic of Indonesia (ANRI) as an institution given mandate to carry out state duty in the field of archives has vision as a pillar of good governance and nation’s collective memory. To implement it, the study of the grand design of the archival system arranged. That is very related to the data governance implementation. Therefore, ANRI needs to know the maturity level of the data governance function which had been held. The assessment was done by referring to the Stanford Data Governance Model. The result showed that data governance is still at an initial level. The foundational aspects are on an average of 1,2 which contains awareness, formalization, and metadata. While on project aspects are on average of 1,5 consisting of stewardship, data quality, and master data. In total, ANRI is at the level of 1,35. ANRI needs to make improvements for data management planning activities referring to Data Management Body of Knowledge (DMBOK) with a focus on people, policies, and capabilities dimensions in all aspects. This research is expected to be helpful for ANRI to make improvements corresponding to the recommendations thus ANRI could implement national data archival properly.
Analysis of the Needs of ICT Ecosystems to Support the Acceleration of Internet Fixed Broadband Penetration (case: Bogor, Sumedang, Bangli, and Karangasem)
This study is conducted to see the potential demand with the characteristics of the campus environment, industrial environment, and tourism environment on internet fixed broadband use, where the objective of this survey is limited to households, individuals and businesses. Analysis is carried out in a descriptive manner based on the results of qualitative discussions by experts which is reinforced by the findings of the survey results. The survey results show that the internet utilization by the public (households, businesses) is mostly for communication and entertainment, so that the cellular internet is considered adequate for public's internet need. This is relevant to the public’s opinion that 87.9% of the internet needs are met when using cellular phone. There are 3 (three) perceptible reasons of why respondents choose not to subscribe to Fixed broadband internet, namely: 1) There is no necessity for subscription, 2) Lack of Knowledge/Information related to Broadband Fixed internet, and 3) Expensive Prices. The potential demand for each characteristic is always there, however, the most dominant one comes from the businesses, such as cafes/eateries, food stores, gift shops, photocopying businesses, vehicle rental services, travel businesses, etc.
DEVELOPMENT OF MULTICAST SERVICE TECHNICAL REQUIREMENTS REGULATION ON XG-PON OLT EQUIPMENT
Today the deployment of Fiber-To-The-x (FTTx) technology is developing very rapidly in various regions of Indonesia. One of the most favorite technologies for telecommunication operators is the XG-PON, which offers high-speed internet access speeds of 10Gbps downstream and 2.5Gbps upstream directions and able to pass various services at once, such as data, voice, to video multicast (IPTV) services. However, regulation of the standardization of technical requirements for multicast services does not include this new technology, so a reference test is needed to update the regulations. In this study, testing of Optical Line Termination (OLT) devices uses five scenarios, namely the ability to pass IGMP version 2, IGMP version 3, ability to support IGMP Snooping and IGMP proxy and capacity in passing several IGMP multicast groups. The test results show that the tested OLT XGPON device can display the suitability of the IGMP message format version 2 with the RFC 2236 standard and IGMP version 3 with the RFC 3376 Standard. Whereas in IGMP proxy testing traffic, the OLT equipment displays the source IP address is 0.0.0.0, which complies with the RFC 4541 standard for the Reporting proxy process. The OLT XG-PON device tested was also capable of passing 1,024 IGMP multicast groups with a range of multicast group addresses from 239.1.1.1 to 239.1.5.1.
Information Security Governance and Management Capability Assessment: A Lesson Learned from Directorate General of Taxes
The information has an important role in improving the business operation and serving the decision-making process. The emerging of e-commerce and e-government require more frequent data exchanges included sensitive data. This study will focus on looking at the portrait of the Directorate General of Tax (DGT) in planning and building the ability to enforce IT governance, especially those related to information security. In addition, this research can also be used as a DGT basis for continuous improvement. We use the ISGM capability model to combine COBIT 5 and ISO 27001 as an approach to measure the capability of organizations in governing and manage their information security. We found that DGT’s information security governance and management capability at overall is at level well defined. Almost of ISGM building blocks has been established according to tailor-made policy and standard. With this capability level, DGT’s ISGM could contribute to the business as shown in several DGT’s program. But, to get optimal value from ISGM DGT need to improve the capability level, especially related to organizational aspects like alignment with business strategies and resource management.
Cybercrime in the Context of Cellular Telephone Scams
Technological advancement comes with both positive and negative impacts to the society, including the cybercrime. The main problems discussed in this study is regulation of criminal acts of scams committed through electronic media, particularly SMS, as well as the efforts to handle such crime in accordance with applicable legal provisions, both based on the Criminal Code and based on Law Number 11 of 2008 on Electronic Information and Transactions that has been amended by Law no. 19 of 2016. This study applies the Normative Legal Research method. The results showed that the criminal act of scams committed online was in principle similar to that of conventional fraud, the only difference being the means of action, namely using an electronic system, namely computers, the internet, or cellular telecommunication devices. Based on the prevailing legal provisions, online fraud can be treated similar to that conventional offenses stipulated in the Criminal Code (KUHP), so that the case handling process is also based both on the Criminal Code and Electronic Information and Transactions law
IT Enabled Extended Organization in the Integrated Trade Licensing System
In order to improve the business climate, the Indonesian government focuses on carrying out a fundamental reform program. One part of the program is issuing online business licenses. As a form of compliance, the Ministry of Trade (MoT) needs to implement the Integrated Trade Licensing System (ITLS), where the system’s values will be made possible through a collaboration between government agencies. This condition illustrates a self-organizing network of organizations where each agency will be able to contribute its values and result in a new set of values. This concept is aligned with the extended organization. This paper aims to examine how ITLS can successfully work through government agencies’ collaboration in an extended organization. The research methodology used a qualitative approach by collecting data through documentation study, observation, and interviews. The study found that trade licenses can only be issued if the value given by the extended organization is sent to ITLS with the assistance of information technology (IT). This research is expected to be a lesson learned of extended organization concept in government agencies.