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"Along with the development of information technology in recent era, a number of new applications emerge, especially on mobile phones. The use of mobile phones, besides as communication media, is also as media of learning, such as translator application. Translator application can be a tool to learn a language, such as English to Bahasa Indonesia translator application. The purpose of this research is to allow user to be able to translate English to Bahasa Indonesia on mobile phone easily. Translator application on this research was developed using Java programming language (especially J2ME) because of its advantage that can run on various operating systems and its open source that can be easily developed and distributed. In this research, data collection was done through literature study, observation, and browsing similar application. Development of the system used object-oriented analysis and design that can be described by using case diagrams, class diagrams, sequence diagrams, and activity diagrams. The translation process used rule-based method. Result of this research is the application of Java-based translator which can translate English sentence into Indonesian sentence. The application can be accessed using a mobile phone with Internet connection. The application has spelling check feature that is able to check the wrong word and provide alternative word that approaches the word input. Conclusion of this research is the application can translate sentence in daily conversation quite well with the sentence structure corresponds and is close to its original meaning."

"The proliferation of mobile phones in developing countries has significant implications for those countries. Although numerous studies have examined the various advantages of mobile phone use, the relationship between mobile phone access and the economic welfare of households has received comparatively little attention. This paper examines the effects of mobile phone on household expenditures in 2007 and 2014 utilising the Indonesian Family Life Survey (IFLS) combined with Potential Village Survey (PODES). Ordinary Least Square (OLS), Endogenous Treatment Regression (ETR), quantile regression, and two-way fixed effect estimations are used to identify the homogeneous and heterogeneous effects of mobile phone use. According to the estimated results, mobile phone access and signal quality significantly increases household expenditure. According to the results of quantile regression, mobile phone access has the greatest effect on the upper expenditure distributions. It is highlighting the importance of promoting a policy that increases mobile phone and the supporting infrastructure on the lower expenditure distributions."

"[ Penelitian ini didasari oleh fenomena penggunaan telepon genggam secaraberlebihan sehingga mengganggu kehidupan pribadi maupun profesionalpenggunanya.Penelitian ini bertujuan untuk menjelaskan apakah self-esteem danloneliness memiliki hubungan dengan mobile phone addiction. Pengukuran selfesteemmenggunakan Rosenberg?s Self-esteem Scale, pengukuran lonelinessmenggunakan UCLA Loneliness Scale sedangkan mobile phone addiction diukurmenggunakan Mobile Phone Addiction Index. Karakteristik responden dalampenelitian ini adalah dewasa muda dengan rentang usia 20-40 tahun yangmemiliki telepon genggam dengan akses internet. Jumlah responden yangdidapatkan sebanyak 296 orang dengan menggunakan teknik accidental sampling.Hasil penelitian menunjukkan bahwa hipotesis null ditolak (r = 0.157, p < 0.05)dan nilai determinasi sebesar 0.025 (r2 = 0.025), yang berarti terdapat hubunganyang signifikan antara self-esteem dan loneliness terhadap mobile phoneaddiction. Hal ini menunjukkan bahwa tingkat mobile phone addiction seseorangdapat diprediksi berdasarkan tingkat loneliness dan tingkat self-esteemnya sebesar2,5% dan sisanya dijelaskan oleh variabel lain. Implikasi dari penelitian ini adalahdiharapkan bahwa masyarakat dapat mengidentifikasi penyebab dari kecanduantelepon genggam dan segera melakukan intervensi.;This study is based on excessive use phenomenon of mobile phones that interferesone?s personal and professional life. This research aims to explain the relationshipbetween self-esteem and loneliness towards mobile phone addiction. Self-esteemis measured by using Rosenberg?s Self-esteem Scale while loneliness is measuredby using UCLA Loneliness Scale. Lastly, mobile phone addiction is measured byusing Mobile Phone Addiction Index. Respondent counts 296 young adultsbetween 20-40 who own a mobile phone with internet access. The results showthat the null hypothesis is rejected (r = 0.157, p < 0.05) and determination value0.021 (r2 = 0.025), which means there is a significant relationship between selfesteemand loneliness towards mobile phone addiction. The implications of thisresearch are expected to enable the society to identify causes of mobile phoneaddiction and immediately start an intervention.;This study is based on excessive use phenomenon of mobile phones that interferesone?s personal and professional life. This research aims to explain the relationshipbetween self-esteem and loneliness towards mobile phone addiction. Self-esteemis measured by using Rosenberg?s Self-esteem Scale while loneliness is measuredby using UCLA Loneliness Scale. Lastly, mobile phone addiction is measured byusing Mobile Phone Addiction Index. Respondent counts 296 young adultsbetween 20-40 who own a mobile phone with internet access. The results showthat the null hypothesis is rejected (r = 0.157, p < 0.05) and determination value0.021 (r2 = 0.025), which means there is a significant relationship between selfesteemand loneliness towards mobile phone addiction. The implications of thisresearch are expected to enable the society to identify causes of mobile phoneaddiction and immediately start an intervention., This study is based on excessive use phenomenon of mobile phones that interferesone’s personal and professional life. This research aims to explain the relationshipbetween self-esteem and loneliness towards mobile phone addiction. Self-esteemis measured by using Rosenberg’s Self-esteem Scale while loneliness is measuredby using UCLA Loneliness Scale. Lastly, mobile phone addiction is measured byusing Mobile Phone Addiction Index. Respondent counts 296 young adultsbetween 20-40 who own a mobile phone with internet access. The results showthat the null hypothesis is rejected (r = 0.157, p < 0.05) and determination value0.021 (r2 = 0.025), which means there is a significant relationship between selfesteemand loneliness towards mobile phone addiction. The implications of thisresearch are expected to enable the society to identify causes of mobile phoneaddiction and immediately start an intervention.]"

"Dengan pesatnya pertumbuhan kepemilikan dan penggunaan telepon seluler di seluruh dunia, gangguan telepon seluler telah menjadi ancaman nyata bagi pejalan kaki. Penelitian ini bertujuan untuk mengetahui sejauh mana gangguan telepon seluler di kalangan pejalan kaki. Observasi lapangan dan wawancara digunakan untuk mencatat gangguan telepon seluler, perilaku pejalan kaki yang tidak aman, dan aktivitas pejalan kaki menggunakan telepon seluler. Uji chi-square Pearson dan uji eksak Fisher dilakukan untuk menganalisis hubungan antara gangguan ponsel dan perilaku tidak aman pejalan kaki serta pengaruh faktor sosio-demografis terhadap gangguan ponsel. Selain itu, Cramer's V digunakan untuk mengukur seberapa kuat variabel-variabel tersebut terkait. Hasil penelitian mengungkapkan bahwa pejalan kaki yang melihat ponsel saat mendekat cenderung tidak melihat ke kiri dan ke kanan (lalu lintas) sebelum menyeberang dibandingkan dengan gangguan ponsel lainnya. Selain itu, SMS dan telepon mendorong pejalan kaki untuk menyeberang di luar penyeberangan yang telah ditentukan dibandingkan dengan gangguan lainnya. Selain itu, melihat notifikasi merupakan aktivitas paling umum di kalangan pejalan kaki yang mengganggu perhatian mereka saat menyeberang.

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With the rapid growth of mobile phone ownership and usage worldwide, mobile phone distraction has become a real threat to pedestrians. This research aimed to examine the extent of mobile phone distraction among pedestrians. Field observations and interviews were employed to record mobile phone distractions, unsafe pedestrian behaviours, and pedestrians’ activities on mobile phones. The Pearson chi-square and Fisher’s exact test were performed to analyse the association between mobile phone distractions and pedestrian unsafe behaviours and the influence of socio-demographic factors on mobile phone distractions. In addition, Cramer’s V was employed to measure how strongly the variables are associated. The result of the research revealed that pedestrians who were looking at a mobile phone when approaching tend to not look left and right (traffic) before crossing compared to other mobile phone distractions. Moreover, texting and calling encourage pedestrians to cross outside the designated crosswalk compared to other distractions. In addition, seeing a notification was the most common activity among pedestrians that distracted them when crossing."

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Riset ini dilakukan di perusahaan yang bergerak di bidang industri teknologi telekomunikasi yang memproduksi telepon seluler dan menjual telepon seluler dengan merek dagang sendiri. Perusahaan ini menggunakan perangkat lunak manufaktur Manufacturing Execution System (MES) dalam proses manufakturnya. Perangkat lunak manufaktur harus selalu dikembangkan dan kinerjanya ditingkatkan. Perusahaan perlu melakukan pendekatan dan penilaian untuk meningkatkan kapabilitas dan kematangan proses manufaktur digital. Capability Maturity Model (CMM) digunakan sebagai dasar model pengukuran kematangan perangkat lunak manufaktur yang digunakan dalam proses manufaktur. Model kematangan kapabilitas menentukan tingkat kematangan digital perusahaan saat ini. Kemudian berdasarkan analisis celah, dibuat peta untuk peningkatkan kematangan digital pada proses manufaktur. Pada tingkat 2 berulang, perusahaan mencapai tingkat kematangan 2,23, kemudian pada tingkat 3 didefinisikan mencapai tingkat kematangan 2,17. Berdasarkan tingkat kematangan saat ini, dilakukan pembuatan profil KPA dan dirancang peta untuk meningkatkan tingkat kematangan digital perusahaan.

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The research was conducted at a telecommunications technology company that manufactures mobile phones. The company uses Manufacturing Execution System (MES) manufacturing software in its manufacturing processes. Manufacturing software should always be developed and improved. Companies need to carry out approaches and assessments to increase the capability and maturity of digital manufacturing processes. Capability Maturity Model (CMM) is used as the basis for measuring the maturity of manufacturing software used. The capability maturity model determines the company's current level of digital maturity. Then based on the gap analysis, a map is created to increase digital maturity in the manufacturing process. At level 2 repeated, the company reaches a maturity level of 2,23, then at level 3 it is defined as reaching a maturity level of 2,17. Based on the current maturity level, a KPA profile is created and a map is designed to increase the company's digital maturity level.

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"Ada inovasi yang cepat dalam teknologi telekomunikasi seiring dengan Perkembangan internet mengakibatkan umur telepon seluler menjadi lebih pendek. Di Di Indonesia, jumlah pengguna telepon seluler meningkat sangat pesat. Fenomena ini memicu peningkatan jumlah limbah telepon seluler di Indonesia, termasuk DKI Jakarta adalah ibu kota negara Indonesia. Di sisi lain, tidak ada peraturan khusus tentang peraturan Limbah Peralatan Listrik dan Elektronik (WEEE) di DKI Jakarta membuat nasib sebagian besar telepon seluler tidak lagi digunakan lagi menjadi tidak jelas. Penelitian ini bertujuan untuk mendapatkan gambaran tentang informasi umum tentang aliran limbah elektronik telepon seluler di DKI Jakarta dengan menggunakan metode Material Flow Analysis. Keluaran utama dari penelitian ini adalah: model aliran limbah elektronik telepon seluler di DKI Jakarta, aliran material Ini termasuk jumlah telepon seluler yang masuk ke aliran limbah dan aliran limbah elektronik ponsel yang masuk ke dalam proses pengolahan. Selain daripada itu, Studi ini juga menganalisis faktor prioritas untuk meningkatkan aliran limbah elektronik telepon seluler di DKI Jakarta menggunakan metode Analytical Hierarchy Proses. Hasil penelitian ini menunjukkan bahwa sektor informal masih mendominasi pengumpulan limbah ponsel sehingga percepatan pembuatan regulasi memainkan peran kunci dalam meningkatkan aliran pengelolaan sampahtelepon seluler di DKI Jakarta.

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There is rapid innovation in telecommunications technology along with the development of the internet has resulted in the life of cell phones being shorter. In Indonesia, the number of cellular phone users is increasing very rapidly. This phenomenon triggers an increase in the amount of cellular phone waste in Indonesia, including DKI Jakarta, the capital city of Indonesia. On the other hand, there is no specific regulation on Waste Electrical and Electronic Equipment (WEEE) regulations in DKI Jakarta, making the fate of most cellular phones no longer in use, unclear. This study aims to obtain an overview of general information about the flow of cellular telephone electronic waste in DKI Jakarta using the Material Flow Analysis method. The main outputs of this research are: model of cellular phone electronic waste flow in DKI Jakarta, material flow. Apart from that, this study also analyzes the priority factors to increase the flow of cellular telephone electronic waste in DKI Jakarta using the Analytical Hierarchy Process method. The results of this study indicate that the informal sector still dominates the collection of mobile phone waste so that accelerated regulation plays a key role in increasing the flow of waste management"

"Usaha non-pertanian di perdesaan semakin memiliki peran penting dalam pembangunan ekonomi bagi negara berkembang. Kinerja usaha non-pertanian di perdesaan tersebut diduga makin membaik seiring dengan pemanfaatan teknologi telekomunikasi dalam usaha tersebut. Hal ini karena pemanfaatan teknologi telekomunikasi seperti telepon seluler dan internet dapat menekan biaya pencarian informasi dan memperluas informasi pasar. Studi ini menganalisis peran pemanfaatan telepon seluler dan internet terhadap kinerja usaha non-pertanian di perdesaan. Dengan menggunakan data tingkat rumah tangga yang bersumber dari Indonesian Family Life Survey gelombang lima (IFLS5) tahun 2014 dan metode Propensity Score Matching, kajian menemukan bahwa penggunaan telepon seluler dan internet dalam usaha non-pertanian memiliki peran positif terhadap kinerja usaha non-pertanian rumah tangga perdesaan. Hasil ini menunjukan bahwa kebijakan pembangunan infrastruktur telekomunikasi di wilayah perdesaan mampu memberikan peningkatan ekonomi bagi rumah tangga desa.

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Non-farm businesses in rural areas have increasingly an important role in economic development in developing countries. The performance of non-farm businesses in rural area is expected to have improved in line with the use of telecommunications technology in business. This is due to the use of communication technologies such as mobile phones and internet be able to shortened the cost of information and the expand market information. This study analyzes the role of mobile phone and internet utilization to the performance of non-farm businesses in rural areas. By using data sourced household level from Indonesian family life survey part 5 (IFLS 5) in 2014 and the propensity score matching method, the study found that the use of mobile phones and the internet in non-agricultural businesses has a positive impact on the performance of rural non-farm household businesses . This shows that the telecommunications infrastructure development policy in rural areas is able to provide economic improvement for rural households."

"Mobile phone security and forensics provides both theoretical and practical background of security and forensics for mobile phones. The author discusses confidentiality, integrity, and availability threats in mobile telephones to provide background for the rest of the book. Security and secrets of mobile phones are discussed including software and hardware interception, fraud and other malicious techniques used “against” users. "