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Abstrak :
Pada penelitian ini membahas sistem pemantauan pada stairlift menggunakan internet of things (IoT), di mana sistem tertanam dalam fisik stairlift menggunakan sensor yang dipasang pada komponen stairlift dan kemudian diintegrasikan ke dalam platform IoT cloud (thingspeak) melalui jaringan internet. Akuisisi data fisis multi-sensor dapat berjalan, banyak informasi yang dapat diakses seperti: temperature motor, kecepatan, beban penumpang, konsumsi daya, getaran bearing dan getaran motor. Sistem pemantauan dapat berjalan secara real time, sehingga membuat pemantauan terpusat dan kegagalan operasi stairlift dapat dicegah sedini mungkin melalui early warning system (EWS) via Telegram. Selain itu, sistem ini dapat memberikan dukungan analisis teknis dalam mengembangkan prototype stairlift di masa mendatang. Berdasarkan analisis hasil pemantauan yang diperoleh, prototype stairlift layak dikembangkan untuk skala industri, secara operasional memenuhi ASME A18.1, ISO 10816 dan ISO 2372. Hal ini ditunjukkan dalam ujicoba variasi beban penumpang hingga maksimum 115 kg diperoleh kecepatan maksimum rata-rata <0,2 m/s, temperature motor <74,6 ˚C, konsumsi daya <600 watt, acceleration getaran bearing <0,5 g'peak dan kecepatan getaran motor (RMS) <4,5 m/s. Namun masih dibutuhkan improvement pada sistem teknis operasional prototype stairlift diantaranya temperature motor, konsumsi daya dan kecepatan agar dapat berjalan stabil. ......This research discusses monitoring systems on stairlift using internet of things (IoT), where the system embedded in the physical stairlift uses sensors that are mounted on the stairlift component and then integrated into the IoT cloud platform (thingspeak) via the internet network. Multi-sensor physical data acquisition can run, a lot of information that can be accessed such as: motor temperature, speed, passenger load, power consumption, bearing vibration and motor vibration. The monitoring system can run in real time, thus making centralized monitoring and failure of stairlift operations preventable as early as possible through the early warning system (EWS) via Telegram. In addition, this system can provide technical analysis support in developing stairlift prototypes in the future. Based on the analysis of the monitoring results obtained, the prototype stairlift is suitable for industrial scale development, operationally compliant with ASME A18.1, ISO 10816 and ISO 2372. This is shown in the trial of passenger load variations up to a maximum of 115 kg obtained an average maximum speed <0, 2 m/s, motor temperature <74.6˚C, power consumption <600 watts, bearing vibration acceleration <0.5 g'peak and motor vibration speed (RMS) <4.5 m/s. However, improvements are still needed in the operational technical system of the prototype stairlift including motor temperature, power consumption and speed so that it can run stably.

Abstrak :
Gempa bumi, salah satu bencana alam yang sering terjadi di Indonesia dan sering memakan banyak korban jiwa. Sistem peringatan dini terbukti efektif untuk mengurangi jumlah korban jiwa akibat gempa bumi ataupun bencana susulan lainya. Perangkat Internet-of-things berbasis seluler dapat digunakan sebagai perangkat peringatan dini untuk mendeteksi gempa bumi.Ketika banyak perangkat pendeteksi kejadian secara bersamaan melakukan transmisi ke jaringan seluler maka akan terjadi bursty transmission yang mengakibatkan kongesti pada jaringan seluler. Kongesti yang terjadi mengakibatkan peningkatan delay dan penuruan success probability pada prosedur random access jaringan seluler yang dapat mengurangi efektifitas sistem deteksi dini. Pengaturan preamble pada access class dapat digunakan untuk mengurangi dampak kongesti yang terjadi. ......Earthquakes, one of the natural disasters that often occur in Indonesia and often take many lives. The early warning system has proven to be effective in reducing the number of casualties due to earthquakes or other aftershocks. Cellular-based Internet-of-things devices can be used as early warning devices to detect earthquakes. When multiple incident detection devices are simultaneously transmitting to the cellular network, bursty transmission will occur, resulting in congestion on the cellular network. The congestion that occurs results in an increase in delay and a decrease in success probability in random access cellular network procedures which can reduce the effectiveness of the early detection system. Preamble settings on access classes can be used to reduce the impact of congestion that occurs.

Abstrak :
[ABSTRAK
Tesis ini berjudul Peran Pre-Emtif Intelijen Keimigrasian Sebagai Early Warning Information Terhadap People Smuggling. Dalam tesis ini, penulis mencoba mendiskripsikan bagaimanakan peran Intelijen Keimigrasian dalam menghasilkan produk intelijen berupa peringatan dini terhadap people smuggling. Bagaimanakan proses penghasilan peringatan dini tersebut serta bagaiman implementasi dari peringatan dini tersebut. Selain itu pula penulis mencoba untuk mendeskripsikan upaya-upaya apa saja yang dapat dilakukan oleh Intelijen Keimigrasian dalam mencegah people smuggling tersebut. Teknik penulisan tesis ini menggunakan metode kualitati deskriftif, sehingga dalam melakukan analisisnya penulis berusaha untuk menruraikan dalam bentuk tulisan dimana sebelumnya data diperoleh dari wawancara dan studi pustaka.

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ABSTRACT
This thesis entitled ?Peran Pre-Emtif Intelijen Keimigrasian Sebagai Early Warning Information Terhadap People Smuggling?. In this thesis, the author tries to describe how does Immigration Intelligence role in producing intelligence in the form of an early warning against people smuggling. How is the process of earnings warnings and how the implementation of the early warning. Beside that, the author tries to describe any efforts that can be undertaken by Immigration Intelligence in preventing the people smuggling. Technical writing this thesis uses descriptive qualitative method, so in doing the analysis the authors attempted to outline in writing where the data previously obtained from interviews and literature., This thesis entitled “Peran Pre-Emtif Intelijen Keimigrasian Sebagai Early Warning Information Terhadap People Smuggling”. In this thesis, the author tries to describe how does Immigration Intelligence role in producing intelligence in the form of an early warning against people smuggling. How is the process of earnings warnings and how the implementation of the early warning. Beside that, the author tries to describe any efforts that can be undertaken by Immigration Intelligence in preventing the people smuggling. Technical writing this thesis uses descriptive qualitative method, so in doing the analysis the authors attempted to outline in writing where the data previously obtained from interviews and literature.]

Abstrak :
[ABSTRAK
Krisis rupiah di tahun 1997-1999 adalah gejolak besar bagi ekonomi Indonesia dimana pertumbuhan ekonomi anjlok, sistem perbankan lumpuh, diikuti dengan konsekuensi sosial dan politik yang pahit. Diyakini jika otoritas moneter daan pembuat kebijakan lainnya dapat mengantisipasi krisis tersebut, segala konsekuensi yang tidak diinginkan tersebut dapat dikurangi dan mungkin dihindari. Sistem pendeteksian dini untuk krisis rupiah diharapkan dapat memberi waktu para pembuat kebijakan untuk mengantisipasi datangnya krisis. Namun salah satu faktor sukses yang kritikal dalam pembentukan sistem tersebut adalah seleksi indikator. Penelitian ini menerapkan Indication & Warning Intelligence (I&W)untuk sistem pendeteksian dini krisis rupiah dengan produk akhir berupa set indikator yang dianggap efektif memprediksi krisis rupiah. Dengan I&W diseleksi lima indikator, yang selanjutnya diuji keefektifannya dengan metode regresi logit, yang menyatakan bahwa terdapat tiga indikator yang dapat memprediksi krisis rupiah secara signifikan yang adalah: 1) Real Effective Exchange Rate, 2) Deposit Money Bank?s Foreign Asset Growth, dan 3) Inflasi.

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ABSTRACT
Currency crisis in Indonesia that took place in 1997-1999 was a major shock to the economy which plunge the growth, collapse the banking system with its bitter social and political consequences. It is acknowledged that if the monetary authority could anticipate such shock, the result would not be as devastating, it could be far lessen, and hopefully avoided. Early warning system for currency crisis is crucial for policy makers to anticipate the coming crisis with enough preparation. One of the most important factor in framing that system is indicators selection. This research apply Indication & Warning Intelligence (I&W) to early warning system of rupiah crisis with indicator set as its end product. With I&W five indicators are selected, which underwent further significance test with logistic regression method. This method results in three indicators being the most effective in predicting rupiah crisis, namely: 1) Real Effective Exchange Rate, 2) Deposit Money Bank?s Foreign Asset Growth, and 3) Inflation.;Currency crisis in Indonesia that took place in 1997-1999 was a major shock to the economy which plunge the growth, collapse the banking system with its bitter social and political consequences. It is acknowledged that if the monetary authority could anticipate such shock, the result would not be as devastating, it could be far lessen, and hopefully avoided. Early warning system for currency crisis is crucial for policy makers to anticipate the coming crisis with enough preparation. One of the most important factor in framing that system is indicators selection. This research apply Indication & Warning Intelligence (I&W) to early warning system of rupiah crisis with indicator set as its end product. With I&W five indicators are selected, which underwent further significance test with logistic regression method. This method results in three indicators being the most effective in predicting rupiah crisis, namely: 1) Real Effective Exchange Rate, 2) Deposit Money Bank’s Foreign Asset Growth, and 3) Inflation., Currency crisis in Indonesia that took place in 1997-1999 was a major shock to the economy which plunge the growth, collapse the banking system with its bitter social and political consequences. It is acknowledged that if the monetary authority could anticipate such shock, the result would not be as devastating, it could be far lessen, and hopefully avoided. Early warning system for currency crisis is crucial for policy makers to anticipate the coming crisis with enough preparation. One of the most important factor in framing that system is indicators selection. This research apply Indication & Warning Intelligence (I&W) to early warning system of rupiah crisis with indicator set as its end product. With I&W five indicators are selected, which underwent further significance test with logistic regression method. This method results in three indicators being the most effective in predicting rupiah crisis, namely: 1) Real Effective Exchange Rate, 2) Deposit Money Bank’s Foreign Asset Growth, and 3) Inflation.]