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"ABSTRACTRevolusi industri menuju industri 4.0 membawa dampak pada berbagai sektor industri di dunia, salah satunya adalah sektor logistik. Sektor logistik di Indonesia sendiri memiliki permasalahan akan besarnya biaya logistik yang dikeluarkan, terutama oleh aktivitas transportasinya. Salah satu solusi yang dapat dilakukan adalah dengan memanfaatkan perkembangan TIK, seperti yang terdapat pada Cetak Biru Perkembangan Sistem Logistik Nasional. Perkembangan Internet of Things IoT sebagai bagian dari Industri 4.0 dapat menjadi solusi dalam permasalahan logistik transportasi ini. Tujuan dari penelitian ini adalah menemukan rancangan strategi untuk implementasi IoT pada sektor logistik transportasi di Indonesia berdasarkan key success factors KSF -nya. Penelitian akan terbagi dua menjadi pemilihan dan pembobotan KSF, dan perancangan strategi. Pada tahap pemilihan dan pembobotan KSF, dengan menggunakan metode Analytic Network Process ANP maka didapatkan delapan butir KSF utama yang paling mempengaruhi implementasi IoT pada sektor logistik transportasi. Pada tahap perancangan strategi, dapat dihasilkan berbagai strategi yang kemudian dirancang diagram implementasinya dengan menggunakan metode Interpretive Structural Modeling ISM . Hasil penelitian ini adalah ditemukannya delapan butir KSF utama yaitu perubahan business mindset; komitmen karyawan; kualitas kinerja saat bekerja; training untuk pengembangan karyawan; kompetisi; keterlibatan top management; on-time delivery; dan kejelasan standar referensi arsitektur komponen penyusun sistem IoT, serta ditemukannya diagram strategi implementasi IoT pada sektor logistik transportasi yang berisi delapan strategi di antaranya menetapkan change management; melakukan pelatihan; manajemen sumber daya manusia; membangun kerja sama dengan partner; melakukan penjagaan dan continuous improvement terhadap sistem perusahaan; membentuk sistem pengawasan; membentuk fail-proof system; dan merancang desain sistem integrasi yang terstandar.

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ABSTRACTIndustrial revolution towards industry 4.0 has been going around and affecting various sector globally, one of them is logistics sector. On the other hand, logistics sector in Indonesia has their problem, which is the large sum of cost that must be allocated to logistics activities, mainly in transportation activities. A solution for this problem is by using the development of ICT, as said in the Blueprint of Development of National Logistics System. Internet of Things IoT as part of industry 4.0 is one of the option. The main purpose of this study is to find a design of implementation strategy for IoT on logistic transportation sector in Indonesia, based on its Key Success Factors KSF . This study is divided into two, identificating and prioritizing KSF by using Analytic Network Process ANP method, and designing the strategy. In the identificating and prioritizing KSF stage, the result is indicating that there are eight main KSFs which affecting the implementation of IoT in logistics transportation sector the most. In the designing strategy phase, the eight main KSFs could be used to generate various strategies which then be designed into a structural strategy implementation diagram by using Interpretive Structural Modeling ISM method. The results of this study are the finding of eight main KSFs which are change in business mindset employees rsquo commitment performance rsquo s quality at work training for employees rsquo development competition the involvement of top management on time delivery and clear standard on architecture reference for components of the IoT system, and also the discovery of implementation strategy diagram for IoT in logistics transportation sector that consists of eight main strategies which are change management training human resources management building cooperative relationship with partner maintaining and continually improving the company rsquo s system establish a monitoring system forming a fail proof system and design a standardized integration system."

"Kontribusi Industri Manufaktur terhadap PDB Indonesia diproyeksikan akan terus mengalami penurunan apabila tidak dilakukan upaya untuk merevitalisasi Industri Manufaktur. Seiringan dengan penurunan kontribusi tersebut, Indonesia beraspirasi untuk menjadi Top 10 PDB Global pada tahun 2030 melalui meningkatkan faktor kontributor ekspor netto. Pemerintah Indonesia memiliki inisiatif Making Indonesia 4.0 yang bertujuan untuk merevitalisasi Industri Manufaktur melalui implementasi teknologi Industri 4.0 pada lima sektor fokus dengan salah satu sektornya adalah sektor otomotif. Melalui inisiatif ini diharapkan ekspor netto negara dapat meningkat. Teknologi yang menjadi lapisan paling dasar implementasi Industri 4.0 adalah internet of things. Namun, penelitian menunjukkan bahwa hanya 26% perusahaan yang mengalami kesuksesan ketika mengimplementasikan IoT. Berdasarkan keadaan tersebut, perusahaan perlu mempertimbangkan key success factors (KSF) ketika mengimplementasikan IoT dimana tujuannya adalah untuk membantu memfokuskan aktivitas perusahaan dan menghindari pemborosan sumber daya pada aktivitas yang kurang penting sehingga mampu mendukung tercapainya tujuan perusahaan. Oleh karena itu, penelitian ini bertujuan untuk mengidentifikasi KSF, mencari hubungan antar KSF, mendapatkan bobot KSF, dan merancang strategi implementasi IoT di Industri Manufaktur pada sektor otomotif berdasarkan KSF prioritas. Hasil dari penelitian ini mendapatkan delapan dimensi dan dua puluh empat KSF implementasi IoT. Hasil perhitungan menunjukkan tiga KSF yang terpilih, yaitu market requirements, peraturan dan kebijakan pemerintah, dan technology standardization approach dimana masing-masing KSF tersebut dibuat rancangan strategi.

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The contribution of the Manufacturing Industry to Indonesia's GDP is projected to continue to decline if no efforts are made to revitalize the Manufacturing Industry. Along with the decline in this contribution, Indonesia aspires to become the Top 10 Global GDP in 2030 by increasing the net export contributor factor. The Indonesian government has the Making Indonesia 4.0 initiative which aims to revitalize the Manufacturing Industry through the implementation of Industry 4.0 technology in five focus sectors, one of which is the automotive sector. Through this initiative, it is hoped that the country's net exports can increase. The technology that is the most basic layer of the implementation of Industry 4.0 is the internet of things. However, research shows that only 26% of companies experience success when implementing IoT. Based on these circumstances, companies need to consider key success factors (KSF) when implementing IoT where the goal is to help focus company activities and avoid wasting resources on activities that are less important so as to support the achievement of company goals. Therefore, this study aims to identify KSF, look for the relationship between KSF, get the weight of KSF, and design an IoT implementation strategy in the Manufacturing Industry in the automotive sector based on priority KSF. The results of this study get eight dimensions and twenty four KSFs of IoT implementation. The results of the calculation show that the three selected KSFs are market requirements, government regulations and policies, and the technology standardization approach where a strategy is designed for each KSF."

"Dalam konteks manajemen logistik, perusahaan FMCG umumnya memiliki sejumlah besar transportasi, produk, dan distributor. Sejumlah besar distributor yang beroperasi secara terpisah memiliki potensi kesalahan informasi yang diberikan kepada perusahaan. Ada kebutuhan untuk sistem informasi logistik untuk mengintegrasikan informasi dan operasi secara real-time untuk menyelesaikan masalah dan membuat keputusan yang tepat dan cepat. Penggunaan teknologi informasi seperti Internet untuk aplikasi berbasis hal-hal semakin dibutuhkan untuk inovasi dalam pengembangan proses logistik karena dapat mempercepat proses dan mengurangi biaya. Namun, ada risiko dan tantangan dalam menerapkan teknologi IoT ke sistem termasuk sumber daya manusia, kemampuan teknologi dan, sehingga perusahaan harus menyiapkan biaya investasi untuk memenuhi kebutuhan penerapan teknologi baru. Penilaian kelayakan ekonomi diperlukan untuk menilai apakah investasi dapat menguntungkan perusahaan. Penelitian ini menggunakan perhitungan Net Present Value (NPV), Periode Payback (PP), Return on Investment (ROI), dan Profitability Index (PI).

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In the context of logistics management, FMCG companies generally have a large amount of transportation, products, and distributors. A large number of distributors operating separately has the potential for misinformation provided to the company. There is a need for a logistics information system to integrate information and operations in real-time to solve problems and make the right and fast decisions. The use of information technology such as Internet of things-based applications is increasingly needed for innovation in the development of logistics processes because it can speed up processes and reduce costs. However, there are risks and challenges in applying IoT technology to the system including human resources, technological capabilities and, so companies must prepare investment costs to meet the needs of implementing the new technology. An economic feasibility assessment is needed to assess whether the investment can benefit the company. This study uses the calculation of Net Present Value (NPV), Payback Period (PP), Return on Investment (ROI), and Profitability Index (PI)."

"Rumah sakit perlu memastikan bahwa peralatan kesehatan kritis mereka aman, akurat, andal, dan beroperasi dengan tingkat kerja yang diperlukan. Mengambil studi kasus pada salah satu rumah sakit swasta di Indonesia, pesawat X-ray konvensional dan Panoramic merupakan peralatan kesehatan radiologi dengan tingkat penggunaan tertinggi. Pesawat X-ray dan Panoramic membutuhkan proses pemeliharaan yang tepat agar terhindar dari terjadinya kerusakan. Proses pemeliharaan peralatan kesehatan yang diadopsi oleh rumah sakit saat ini kesulitan dalam hal administrasi dan eksekusi tindak pemeriksaan alat. Penelitian ini bertujuan untuk merancang perbaikan proses pemeliharaan pesawat X-Ray konvensional dan panoramic, dengan memanfaatkan Internet of Things (IoT). Pendekatan Business Process Reengineering (BPR) digunakan untuk merancang kembali proses pemeliharaan tahunan dari kedua peralatan kesehatan tersebut. Perancangan sistem informasi dari proses pemeliharaan yang diusulkan selanjutnya dibuat menggunakanStructured System development. Penelitian ini menyimulasikan empat pilihan perbaikan proses pemeliharaan, dimana efisiensi tertinggi yang diperoleh adalah 56,25% dan dihasilkan oleh pilihan perbaikan dengan intervensi perangkat lunak Computerized Maintenance Management System (CMMS), QR Code dan Radio-frequency Identification (RFID) tag yang terintegrasi, dan teknologi/sensor condition monitoring.

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Hospitals must ensure that their medical devices are safe, accurate, reliable and supported by the level of performance required. Taking one private hospital in Indonesia as research subject, conventional X-ray and Panoramic devices are radiological health equipment with the highest level of use, thus require proper maintenance to avoid possible breakdown. The process of maintaining medical equipment adopted by the hospital is currently in difficulties in administration and implementation of the inspection and maintenance activities. This research discusses the improvement of the maintenance process of conventional X-ray and panoramic devices, by utilizing the Internet of Things (IoT). Business Process Reengineering (BPR) is used to restore the maintenance process of the two health equipment. The information system design of the proposed maintenance process is then made using Structured System Development approach. This research propose four maintenance process improvement options, where the highest efficiency is obtained by 56.25% and is generated by the choice of improvement with the intervention of Computerized Maintenance Management System (CMMS) software, integrated QR Code and radio-frequency Identification (RFID) tags, and condition monitoring technology / sensor.

"

"Rumah sakit perlu memastikan perawat dan petugas rawat jalan dapat memberikan pelayanan yang aman, cepat, dan akurat. Mengambil studi kasus pada salah satu rumah sakit swasta di Indonesia, layanan instalasi rawat jalan rumah sakit sering menghadapi beberapa permasalahan di bidang administrasi pasien dan obat serta integrasi informasi. Penelitian ini bertujuan untuk merancang perbaikan waktu proses operasional pelayanan rawat jalan (efisiensi) dengan memanfaatkan Internet of Things (IoT) dan pendekatan Business Process Reengineering (BPR) menggunakan perangkat lunak iGrafx. Metode Complex Proportional Assessment (COPRAS) digunakan untuk memprioritaskan risiko dari proses saat ini yang akan diusulkan sebagai tindakan perbaikan dengan implementasi IoT. Penelitian ini memberikan tiga pilihan skenario, di mana perbaikan terbesar terdapat pada penerapan Integrated Electronic Health Record (EHR) with Clinical Decision Support System (CDSS) dan stiker RFID tag dengan pengurangan total waktu proses sebesar 52,94% untuk proses pelayanan pada pasien umum, 53,59% pada pasien BPJS, dan 52,53% pada pasien asuransi.

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Hospitals must ensure that nurses and outpatient officers can provide safe, fast, and accurate services. Taking one private hospital in Indonesia as research subject, hospital outpatient installation services often face several problems in the field of patient and drug administration as well as information integration. The purpose of this study is to design operational process improvement (efficiency) to the outpatient installation services by the implementation of Internet of Things (IoT) with the Business Process Reengineering (BPR) approach using iGrafx software. The Complex Proportional Assessment (COPRAS) method is used to prioritize the risks of the current process which will be proposed as remedial actions with IoT implementation. This research proposes three scenario choices, where the biggest improvement is in the implementation of Integrated Electronic Health Record (EHR) with Clinical Decision Support System (CDSS) and RFID tag stickers with a total reduction of processing time of 52,94% for service processes in general patients. 53,59% in BPJS patients, and 52,53% in insurance patients."

"Dalam situasi bencana dimana banyak korban terdampak memerlukan bantuan, bantuan yang cepat menjadi tujuan utama, namun tujuan ini terkadang tak diikuti dengan sistem pencatatan yang sempurna. Penelitian ini bertujuan menghasilkan proses manajemen persediaan logistik bencana dan distribusinya pada response time yang singkat serta menghasilkan proses distribusi bantuan bencana yang cepat dengan menerapkan Internet of Things (IoT). Dengan menggunakan metode rekayasan proses bisnis (BPR) dan penerapan IoT pada suatu badan penanggulangan bencana, didapat peningkatan efisiensi waktu sebesar 44,92% dimana yang sebelum-nya memakan waktu 64,34 jam menjadi 35,44 jam.

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Many affected victims need rapid assistance in a disaster situation, but this goal sometimes not followed by a perfect recording system on their logistic inventory management. This study aims to obtain disaster logistics inventory management processes and their distribution in short response time and produce a rapid disaster relief distribution process by implementing the Internet of Things (IoT). Business Process Reengineering (BPR) method and IoT implementation are used for disaster management agencies. The proposed model resulted in an increase in logistic relief distribution time efficiency to 44.92%, which previously took 64.34 hours to 35.44 hours."

"AEC (Asean Economic Community) 2015 menimbulkan beberapa tantangan dalam industri logistik. Oleh karenanya diperlukan peranan dan penerapan layanan IoT (Internet of Things) untuk meningkatkan daya saing, yaitu berupa implementasi layanan smart logistic transport. Tesis ini mengusulkan model implementasi smart logistic transport di Indonesia yang berfokus pada sistem cold supply chain. Tesis ini bertujuan melakukan analisis ekonomi teknik dalam bentuk analisiskomparatif layanan smart logistic transport terkait pemilihan teknologi jaringan 2G/3G/4G dan fitur MDVR yang dibedakan menjadi Skenario 1-2-3. Sedangkan pengembangan model implementasi didapatkan setelah melakukan wawancaradengan application customers,technological vendors,regulator &network provider. Berdasarkan trial implementasi smart logistic transport bulan September-Oktober 2015 dengan analisis ekonomi teknik, didapatkan layanan not feasiblehanya pada skenario 3 untuk unit-CD6, di jaringan 4G. Hal ini terkait masih mahal dan belum banyak tersedianya modul m2m gateway dan MDVR teknologi jaringan 4G. Sehingga diperlukan jumlah minimum truk CD6 dan Fuso pada tiap skenario agar implementasi menjadi feasible. Untuk model implementasi layanan terdiri atas 11 fitur, yaitu 2 fitur basic dan 9 fitur advanced. Dikarenakan bisnis proses yang dinamis maka konsumen membutuhkan fitur advanced yang lebihspesifik di masa akan datang. Dengan melihat peluang tersebut maka local content developer dapat menciptakan dan mengembangkan fitur yang relevan.

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Asean Economic Community 2015 has been creating more challenges in logistics industries in Indonesia. The implementation of IoT in logistic services is needed for increasing competitiveness leading to the establishment of so-called smart logistic transport. We propose the implementation model of the Indonesian Smart Logistic Transport, by focusing on cold supply chain system. We have conducted an engineering economic analysis of the smart logistics transport, in relation with the mobile network platform of 2G, 3G, 4G. Development of the implementation model is completed by conducting in-depth interviews with

the application customers, technological vendors, regulator and network provider. Based on implementation trial in September-October 2015 and engineering economic analysis, we have found that Smart Logistic Transport is not feasible only on scenario 3 for CD6 at 4G network. Such condition is caused by the expensive price of 4G's M2M gateway module and MDVR. Therefore, it requires the minimum amount of implemented truck to make implementation feasible. Our proposed model has signified 11 features, i.e. 2 basic feature and 9 advanced features, formulating the Indonesian smart logistics transport system. Due to the dynamic business process, customers may need specific advanced features in the future. By taking such opportunity, Indonesian local content developer can work to develop any relevant application features, which is needed by the logistic companies in the near future."

"AEC (Asean Economic Community) 2015 menimbulkan beberapa tantangan dalam industri logistik. Oleh karenanya diperlukan peranan dan penerapan layanan IoT (Internet of Things) untuk meningkatkan daya saing, yaitu berupa implementasi layanan smart logistic transport. Tesis ini mengusulkan model implementasi smart logistic transport di Indonesia yang berfokus pada sistem cold supply chain.Tesis ini bertujuan melakukan analisis ekonomi teknik dalam bentuk analisis komparatif layanan smart logistic transport terkait pemilihan teknologi jaringan 2G/3G/4G dan fitur MDVR yang dibedakan menjadi Skenario 1-2-3. Sedangkan pengembangan model implementasi didapatkan setelah melakukan wawancara dengan application customers,technological vendors,regulator & network provider.Berdasarkan trial implementasi smart logistic transport bulan September – Oktober 2015 dengan analisis ekonomi teknik, didapatkan layanan not feasible hanya pada skenario 3 untuk unit "CD6", di jaringan 4G. Hal ini terkait masih mahal dan belum banyak tersedianya modul m2m gateway dan MDVR teknologi jaringan 4G. Sehingga diperlukan jumlah minimum truk "CD6" dan "Fuso" pada tiap skenario agar implementasi menjadi feasible. Untuk model implementasi layanan terdiri atas 11 fitur, yaitu 2 fitur basic dan 9 fitur advanced. Dikarenakan bisnis proses yang dinamis maka konsumen membutuhkan fitur advanced yang lebih spesifik di masa akan datang. Dengan melihat peluang tersebut maka local content developer dapat menciptakan dan mengembangkan fitur yang relevan.

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Asean Economic Community 2015 has been creating more challenges in logistics industries in Indonesia. The implementation of IoT in logistic services is needed for increasing competitiveness leading to the establishment of so-called "smart logistic transport". We propose the implementation model of the Indonesian Smart Logistic Transport, by focusing on cold supply chain system.

We have conducted an engineering economic analysis of the smart logistics transport, in relation with the mobile network platform of 2G, 3G, 4G. Development of the implementation model is completed by conducting in-depth interviews with the application customers, technological vendors, regulator and network provider.

Based on implementation trial in September-October 2015 and engineering economic analysis, we have found that Smart Logistic Transport is not feasible only on scenario 3 for "CD6" at 4G network. Such condition is caused by the expensive price of 4G’s M2M gateway module and MDVR. Therefore, it requires the minimum amount of implemented truck to make implementation feasible. Our proposed model has signified 11 features, i.e. 2 basic feature and 9 advanced features, formulating the Indonesian smart logistics transport system. Due to the dynamic business process, customers may need specific advanced features in the future. By taking such opportunity, Indonesian local content developer can work to develop any relevant application features, which is needed by the logistic companies in the near future."

"AEC (Asean Economic Community) 2015 menimbulkan beberapa tantangan dalam industri logistik. Oleh karenanya diperlukan peranan dan penerapan layanan IoT (Internet of Things) untuk meningkatkan daya saing, yaitu berupa implementasi layanan smart logistic transport. Tesis ini mengusulkan model implementasi smart logistic transport di Indonesia yang berfokus pada sistem cold supply chain.Tesis ini bertujuan melakukan analisis ekonomi teknik dalam bentuk analisis komparatif layanan smart logistic transport terkait pemilihan teknologi jaringan 2G/3G/4G dan fitur MDVR yang dibedakan menjadi Skenario 1-2-3. Sedangkan pengembangan model implementasi didapatkan setelah melakukan wawancara dengan application customers,technological vendors,regulator & network provider.Berdasarkan trial implementasi smart logistic transport bulan September-Oktober 2015 dengan analisis ekonomi teknik, didapatkan layanan not feasible hanya pada skenario 3 untuk unit "CD6", di jaringan 4G. Hal ini terkait masih mahal dan belum banyak tersedianya modul m2m gateway dan MDVR teknologi jaringan 4G. Sehingga diperlukan jumlah minimum truk "CD6" dan "Fuso" pada tiap skenario agar implementasi menjadi feasible. Untuk model implementasi layanan terdiri atas 11 fitur, yaitu 2 fitur basic dan 9 fitur ad.

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Asean Economic Community 2015 has been creating more challenges in logistics industries in Indonesia. The implementation of IoT in logistic services is needed for increasing competitiveness leading to the establishment of so-called "smart logistic transport". We propose the implementation model of the Indonesian Smart Logistic Transport, by focusing on cold supply chain system.

We have conducted an engineering economic analysis of the smart logistics transport, in relation with the mobile network platform of 2G, 3G, 4G. Development of the implementation model is completed by conducting in-depth interviews with the application customers, technological vendors, regulator and network provider. Based on implementation trial in September-October 2015 and engineering economic analysis, we have found that Smart Logistic Transport is not feasible only on scenario 3 for "CD6" at 4G network. Such condition is caused by the expensive price of 4G’s M2M gateway module and MDVR.

Therefore, it requires the minimum amount of implemented truck to make implementation feasible. Our proposed model has signified 11 features, i.e. 2 basic feature and 9 advanced features, formulating the Indonesian smart logistics transport system. Due to the dynamic business process, customers may need specific advanced features in the future. By taking such opportunity, Indonesian local content developer can work to develop any relevant application features, which is needed by the logistic companies in the near future."

"Internet of Things (IoT) dapat menjadi salah satu solusi bagi rumah sakit untuk meningkatkan efisiensi dan kualitas layanan operasional. Akan tetapi, dengan adanya hambatan teknis dan non-teknis seperti biaya, organisasi, dan pengalaman pengguna menyebabkan penerapan IoT tidak bisa dilakukan secara langsung di semua bagian di rumah sakit. Oleh karena itu, penelitian ini bertujuan untuk membuat prioritaspemilihanunit di rumah sakit dalam rangka penerapan Internet of Things (IoT) berdasarkan performa unit saat ini untuk meningkatkan kualitas layanan operasional kesehatan. Penelitian ini menggunakan metode DEMATEL (Decision-Making Trial And Evaluation Laboratory) berbasis ANP (Analytic Network Process) untuk melihat secara detail pengaruh dan bobot dari faktor yang mempengaruhi penerapan Internet of Things di rumah sakit. Selain itu, metode VIKORRUG (VlseKriterijumska Optimizacija I Kompromisno Resenje for Ranking Unimproved Gap) juga digunakan untuk melihat kesenjangan kinerja pada 9 unit rumah sakit di Jakarta.Pada hasil akhir, ditemukan bahwa unit One-Day-Care adalah unit yang menjadi prioritas pertama dalam penerapan teknologi IoT di rumah sakit.

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Internet of Things (IoT) can be a solution for hospitals to improve the efficiency and quality of operational services. However, with technical and non-technical barriers such as costs, organization, and experience of users using IoT, it cannot be done directly in all parts of the hospital. For this reason, this study aimsto make a framework to prioritize hospital units to implementthe Internet of Things (IoT) based on current performance.

This research using the DEMATEL (Decision-Making Trial And Evaluation Laboratory) based ANP(Analytical Network Process) methodto see more about detail and calculate the influence weight between factors. In addition, the VIKORRUG method (VlseKriterijumska Optimizacija I Kompromisno Resenje for Ranking Unimproved Gap) was also used to look at performance gaps in 9 units in hospitalat Jakarta. As a final results, it was found that the One-Day-Care unit was the unit that was the first priority in the application of technology in hospitals."