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"[ 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.]"

"[Komunikasi merupakan salah satu kebutuhan manusia yang paling dasar. Salah satu teknologi yang digunakan untuk membantu kelancaran komunikasi adalah telepon seluler. Namun, pada kenyataannya ada faktor ? faktor yang dapat menghalangi kelancaran proses telekomunikasi seluler. Penelitian ini bertujuan untuk mengetahui hubungan antara kuat sinyal dengan faktor ? faktor yang mempengaruhinya seperti ketinggian tempat, tinggi BTS, arah hadapan lereng, dan jarak dari BTS. Penggunaan analisis keruangan secara kuantitatif menghasilkan suatu model keruangan kualitas sinyal telepon seluler di Kabupaten Temanggung. Hasil penelitian menunjukkan bahwa kualitas sinyal yang baik terdapat pada daerah yang dekat dengan BTS dengan lereng yang menghadap BTS.;Communication is one of the most basic human needs. One of the technology that are used to help smooth communication is mobile phone. However, in reality there are many factors that can obstruct the smooth process of mobile telecommunications. This study aims to determine the relationship between a signal strength by the influencing factors such as altitude, elevation of BTS, the direction of the level before the slope, and the distance from the base stations. The use of quantitative spatial analysis produced a spatial model of cell phone signal quality at Temanggung Regency. The results showed that the good signal quality present in the area near the BTS with a slope overlooking the BTS.;Communication is one of the most basic human needs. One of the technology that are used to help smooth communication is mobile phone. However, in reality there are many factors that can obstruct the smooth process of mobile telecommunications. This study aims to determine the relationship between a signal strength by the influencing factors such as altitude, elevation of BTS, the direction of the level before the slope, and the distance from the base stations. The use of quantitative spatial analysis produced a spatial model of cell phone signal quality at Temanggung Regency. The results showed that the good signal quality present in the area near the BTS with a slope overlooking the BTS., Communication is one of the most basic human needs. One of the technology that are used to help smooth communication is mobile phone. However, in reality there are many factors that can obstruct the smooth process of mobile telecommunications. This study aims to determine the relationship between a signal strength by the influencing factors such as altitude, elevation of BTS, the direction of the level before the slope, and the distance from the base stations. The use of quantitative spatial analysis produced a spatial model of cell phone signal quality at Temanggung Regency. The results showed that the good signal quality present in the area near the BTS with a slope overlooking the BTS.]"

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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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"Terjadi peningkatan pembelian mobile phone melalui e-commerce mobile apps. Tujuan dari penelitian ini adalah menganalisis hubungan perilaku konsumen terhadap pembelian handphone melalui e-commerce mobile application. Metode yang digunakan adalah integrase TAM dan IDT yaitu menghubungkan Kegunaan, Kemudahan Penggunaan dan Kompatibilitas dengan Sikap terhadap Penggunaan dan Kepuasan Konsumen. Teknik sampling menggunakan nonprobability sampling dengan cara purposive sampling dan snonwbowling. Jumlah sampel sebanyak 120 responden. Hasil penelitian menunjukkan terdapat pengaruh positif dari Kegunaan, Kemudahan Penggunaan dan Kompatibilitas terhadap Sikap pada Penggunaan Mobile Application. Kegunaan tidak berpengaruh terhadap Kepuasan Konsumen. Kemudahan Penggunaan berpengaruh positif terhadap Kepuasan Konsumen. Kemudahan Penggunaan berpengaruh positif terhadap Kegunaan aplikasi Mobile. Sikap berpengaruh positif terhadap Kepuasan Konsumen.

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There are increase in e commerce through mobile phone mobile application purchases. Purpose of this Research is analyzing the relationship consumer behaviour towards mobile phone purchasing through e commerce mobile applications. The method used is integrase TAM and IDT Which connects perceived Usefulness, perceived Ease of Use, Cognition of Compatibility to Attitudes toward Using and Customer Satisfaction. The sampling technique using sampling nonprobability with purposive sampling and snow bowling. The number of respondent contribute is 120 respondent.

Research shows influences of positive perceived Usefulness, perceived Ease of Use, and compatibility on Attitudes Toward Mobile Applications. Perceived Usefulness NOT affect Customer Satisfaction. Perceived Ease of USE positive influence on Customer Satisfaction. Perceived Ease of USE has positive effect on perceived Usefulness of Mobile Applications. Attitude toward Using has positive influence on Customer Satisfaction."

"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. "

"Turbiditas adalah salah satu ukuran yang sering digunakan untuk menilai kualitas air. Pengukuran turbiditas dapat dijadikan estimasi untuk mengetahui parameter fisis lain seperti zat padat tersuspensi total (TSS) atau parameter biologis seperti konsentrasi mikroorganisme. Beberapa penelitian telah mencoba menerapkan metode computer vision untuk memprediksi nilai turbiditas dari citra sebuah sampel air. Kebanyakan penelitian yang dilakukan masih menggunakan ekstraksi fitur secara manual sehingga diperlukan pengetahuan yang mencukupi terkait pengolahan citra dan pengukuran turbiditas. Pada penelitian ini dibuat sistem instrumentasi prediksi nilai turbiditas air berbasis pengolahan citra ponsel dengan ekstraksi fitur dan regresi oleh model deep convolutional neural network (DCNN). Penggunaan DCNN memungkinkan dilakukannya untuk melakukan ekstraksi fitur secara otomatis. Arsitektur DCNN yang digunakan yaitu ResNet-50 dan DenseNet-121. Efektivitas penerapan transfer learning berupa weight initialization pada DCNN juga ditinjau dalam kasus ini. Sampel yang digunakan pada penelitian ini berupa suspensi formazin dengan berbagai nilai turbiditas untuk pelatihan model dan beberapa sampel air untuk validasi model. Sampel disinari oleh LED di dalam kotak akuisisi yang dibuat untuk menampakkan fitur. Citra dari sampel diakuisisi menggunakan ponsel Samsung S20 FE dari dua sudut berbeda yaitu 0° (turbidimetry) dan 90° (nephelometry) terhadap sampel. Hasil terbaik pada penelitian ini diperoleh oleh Model ResNet-50 dengan transfer learning yang memperoleh MAE sebesar 2.44 untuk sampel formazin dan 7.31 untuk sampel air dengan citra turbidimetry. Hasil penelitian menunjukkan potensi menjanjikan penggunaan DCNN pada kasus regresi nilai turbiditas air untuk dikembangkan lebih lanjut.

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Turbidity is a measure that is often used to assess water quality. Turbidity measurements can be used as estimates to determine other physical parameters such as total suspended solids (TSS) or biological parameters such as the concentration of microorganisms. Several studies have tried to apply computer vision methods to predict the turbidity value from images of water samples. Most of the research conducted still uses manual feature extraction, hence sufficient knowledge regarding image processing and turbidity measurements is needed. In this study, an instrumentation system for predicting water turbidity values based on mobile phone images is made. The feature extraction and regression process are done using a deep convolutional neural network (DCNN) model. The use of DCNN allows it to perform feature extraction automatically. The DCNN architecture used is ResNet-50 and DenseNet-121. The effectiveness of implementing transfer learning in the form of weight initialization on DCNN is also reviewed in this study. The samples used in this study were formazine suspensions with various turbidity values for model training and several water samples for model validation. The sample is illuminated by an LED inside an acquisition box to reveal its features. The images of the samples were acquired using a Samsung S20 FE mobile phone from two different angles, namely 0° (turbidimetry) and 90° (nephelometry) to the sample. The best results in this study were obtained by the ResNet-50 model with transfer learning applied which obtained MAE values of 2.44 for formazine samples and 7.31 for water samples using turbidimetry images. The results show the promising potential for further development of DCNN usage in the case of water turbidity values regression."

"ABSTRAKPenelitian bertujuan untuk mendapatkan gambaran postur yang berisiko penggunaan mobile phone pada lansia di PSTW Ria Pembangunan Tahun 2019 dengan melihat gambaran faktorindividu dan faktor pemakaian terhadap keluhan subjektif gejala gangguan otot rangka dan mata pada lansia pengguna mobile phone. Desain penelitian ini adalah cross sectional. Penilaian postur berisiko dilakukan melalui observasi dan pengukuran pada lansia pengguna mobile phone (n = 20) yang diukur dengan metode REBA. Gambaran faktor individu, faktor pemakaian, keluhan subjektifgejala gangguan otot rangka, dan gejala gangguan mata didapatkan dari pengisian kuesioner dengan responden lansia pengguna mobile phone (n = 20). Hasil penelitian menunjukkan postur paling berisiko saat menggunakan mobile phone adalah duduk dengan penopang (skor REBA 9)dan berbaring (skor REBA 9). Sebesar 55% responden menghabiskan waktu < 30 menit/hari untuk menggunakan mobile phone, 75% menggunakan mobile phone < 5 kali/hari, dan 60% responden telah menggunakan mobile phone > 6 tahun. Keluhan subjektif gangguan otot rangka dialami 80%lansia pada pinggang (30%), jari tangan kanan dan kiri (20%), dan pergelangan tangan kanan dan kiri, serta bahu kanan (15%). Keluhan subjektif gejala gangguan mata dialami 90 % lansia dengan keluhan mata lelah (40%), mata sensitif terhadap cahaya (35%), dan mata berair setelah melihat layar (35%)

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ABSTRACTThe aim of this study is to depict a risky posture description of the use of mobile phones in the elderly at Ria Pembangunan PSTW in 2019 by looking at an overview of individual factors and usage factors for subjective complaints of musculoskeletal symptoms and eye symptoms in elderly mobile phone users. This study design is descriptive studies with quantitative approach. Assessment of risky postures is done through observation and measurement of elderly mobile phone users (n = 20) as measured by the REBA method. The description of individual factors, factors of use, subjective complaints of musculoskeletal symptoms, and eye symptoms were obtained from filling out questionnaires by elderly mobile phone user respondents (n = 20). The results showed that the riskiest postures when using a mobile phone were sitting with a crutch (REBA score 9) and lying down (REBA score 9). 55% of respondents spend <30 minutes / day using mobile phones, 75% use mobile phones <5 times / day, and 60% of respondents have been using mobile phones> 6 years. Subjective complaints of musculoskeletal symptoms are experienced by 80% of the elderly at waist (30%), right and left hands fingers (20%), right wrist, left wrist and right shoulder (15%). Subjective complaints of eye symptoms experienced by 90% of the elderly with complaints of tired eyes (40%), light sensitive eyes (35%), and watery eyes after seeing the screen (35%)."

"Indonesia terletak pada pertemuan lempeng tektonik aktif, jalur pegunungan aktif, sehingga menjadikan sebagian besar wilayahnya rawan terhadap bencana alam Gempa Bumi. Berdasarkan teori dan konsep manajemen bencana (disasters management) yang meliputi beberapa tahapan, yaitu: tahap tanggap darurat (response phase), tahap rekonstruksi dan rehabilitasi, tahap preventif dan mitigasi, dan tahap kesiapsiagaan (preparedness); maka upaya perencanaan sistem peringatan dini gempa bumi harus dipersiapkan dengan efisien untuk dapat mengurangi risiko yang diakibatkan. Dengan semakin berkembangnya teknologi informasi dan komunikasi berbasis Mobile phone, maka informasi dan komunikasi bukanlah suatu hal yang sulit terutama pada saat tanggap bencana. Dengan variabel-variabel yang diukur berupa media alat peringatan, prosedur penyelamatan diri, mobilisasi sumber daya dan pengetahuan menghadapi bencana gempa bumi. Variabel-variabel tersebut didapat dari studi literatur, kemudian setelah itu didapatkan faktor-faktor yang menyusun sistem peringatan dini (early warning system) gempa bumi yang akan ditambahkan ke dalam aplikasi. Setelah itu, survey dilakukan kepada masyarakat untuk mengetahui pengaruh tambahan fitur EWS (early warning system) bencana gempa bumi. Dari hasil survey yang telah diperoleh, dapat disimpulkan bahwa sebagian besar responden sangat setuju dengan persentase rata-rata dari semua pertanyaan di atas 50% bahwa adanya penambahan fitur earthquake early warning system dapat membuat masyarakat yang menggunakan aplikasi lebih waspada terhadap bencana gempa bumi.

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Indonesia is located at the confluence of active tectonic plates, an active mountain route, thus making most of its territory prone to natural disasters from earthquakes. Based on the theory and concept of disaster management (disasters management) which includes several stages, namely: the response phase, the reconstruction and rehabilitation stage, the preventive and mitigation stage, and the preparedness stage; hence the effort to plan an earthquake early warning system must be prepared efficiently in order to reduce the resulting risks. With the development of mobile phone-based information and communication technology, information and communication is not a difficult matter, especially during disaster response. With the measured variables in the form of media warning tools, self-rescue procedures, mobilization of resources and knowledge of earthquake disasters. These variables are obtained from literature studies, then after that, the factors that compile an earthquake early warning system will be added to the application. After that, a survey was conducted to the public to determine the effect of the additional EWS (early warning system) feature of the earthquake. From the survey results that have been obtained, it can be concluded that the majority of respondents strongly agree with the average percentage of all questions above 50% that the addition of the earthquake early warning system feature can make people using the application more alert to earthquakes."

"Penelitian ini dilakukan untuk mendapatkan gambaran mengenai hubungan antara self-esteem dan perilaku kekerasan pada remaja laki-laki di wilayah Jabodetabek.Jenis perilaku kekerasan yang diukur antara lain perkelahian fisik, tawuran,tindakan melukai orang dengan senjata, tindakan melukai seseorang hingga membutuhkan perawatan dokter, vandalisme, perilaku mengancam dengan senjata, perilaku mengancam tanpa senjata, dan bullying (menjahili orang lain, mempermalukan orang lain di depan umum, memanggil nama orang dengan sebutan lain, dan mengancam akan melukai orang lain). Penelitian ini menggunakan pendekatan kuantitatif dan alat ukur Rosenberg Self-Esteem Scale untuk mengukur self-esteem. Daftar perilaku kekerasan yang digunakan adalah alat ukur yang telah diadaptasi dari penelitian-penelitian sebelumnya. Data penelitian diolah dengan menggunakan teknik statistik Pearson Product-Moment Correlation. Partisipan berjumlah 311 remaja laki-laki yang berada di komunitas dan lembaga pemasyarakatan. Hasil penelitian ini menunjukkan terdapat hubungan positif yang signifikan antara self-esteem dan perkelahian fisik pada remaja laki-laki di wilayah Jabodetabek (r = 0.24; p = 0.000, signifikan pada L.o.S 0.01). Selain itu, terdapat hubungan positif yang signifikan antara selfesteemdan perilaku mengancam tanpa senjata pada remaja laki-laki di wilayah Jabodetabek (r = 0.231; p = 0.000, signifikan pada L.o.S 0.01). Tidak ditemukan adanya hubungan yang signifikan antara self-esteem dan jenis perilaku kekerasan lainnya.

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This research was conducted to find the relationship between self-esteem and violence behavior among male adolescents in Jabodetabek Area. Type of violent behavior being measured include physical fights, group fights, used a weapon in a fıght, hurt someone badly enough to need bandages or care from doctor or nurse, vandalism, threatening behavior with a weapon, threatening behavior with and without weapons, and bullying (teased others, humiliate someone, call the person's name with another name, and threatened to hurt someone else). This research used a quantitative approach and using the Rosenberg Self-Esteem Scale to measuring self-esteem. List of violent behavior that is used is a measure that has been adapted from previous studies. Data was analyzed using Pearson Product-Moment Correlation technique. The participants were 311 male adolescents in community and correctional-institution. The results showed that there is a significant correlation between self-esteem and physical fights among male adolescents in Jabodetabek area (r = 0.24; p = 0.000, significant at the L.o.S 0.01). In addition, there is a significant positive correlation between self-esteem and threatening behavior without weapon among male adolescents in Jabodetabek area (r = 0.231, p = 0.000, significant at the LoS 0.01). Did not reveal any significant relationship between self-esteem and other types of violent behavior."