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"Salah satu fungsi dari Network Management System (NMS) adalah monitoring jaringan. Pentingnya pengawasan jaringan selular berbanding lurus dengan kualitas dari jaringan selular itu sendiri. Dengan semakin cepat mengetahui alarm yang terjadi pada jaringan, dapat secepatnya pula dilakukan penanganan masalah, sehingga kualitas jaringan selular dapat terjaga. Umumnya sifat monitoring jaringan selular ini adalah pasif, karena sistem hanya menampilkan alarm yang terjadi. Ericsson, salah satu vendor NMS mengembangkan Fault Management Expert, dengan FMX ini monitoring jaringan dapat lebih bersifat aktif, karena sebelum menampilkan alarm, dibelakang layer sistem telah melakukan serangkaian proses penanganan alarm tersebut, sesuai dengan aturan yang telah kita rancang sebelumnya, sehingga selain memperingan pekerjaan operator, gangguan yang terjadi pada jaringan dapat seminimal mungkin muncul. Pada skripsi ini dirancang beberapa aturan/rule penanganan alarm yang dianggap perlu pada jaringan selular, dengan sebelumnya mengolah data sample log alarm dari jaringan selular tersebut. Dari implementasi, terlihat rule yang dirancang tepat sasaran dan berjalan cukup baik sesuai dengan yang diinginkan. Dengan prosentasi keberhasilan FMX mengeksekusi perintah diatas 90%.

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Network Monitoring is another function of Network Management System. Network Monitoring very important because it tells the quality of a cellular network. As soon as we know there is an alarm at network, as soon as we do the trouble shooting, so the quality of network would be maintain very well.

Network Monitoring system is passive; the system only shows alarm from cellular network. Ericsson, one of NMS vendor develops Fault Management Expert. With this FMX module, Network Monitoring can be active handling alarm. If there's an alarm at the system, on a background system will do an action to handling that alarms, following the rule that we have create before. That's make the alarm effect can be minimum.

At this final had been developed some of rule to handling alarm that is necessary at cellular network, with before extracting some information from log alarm sample at cellular network. Implementation of the rule shows run pretty well as same as the writer expectation. With percentage of FMX succeed command executing is above 90%."

"ABSTRAKSetiap perusahaan telekomunikasi wajib untuk memberikan kualitas layanan yang baik kepada pelanggan. Standar kualitas layanan ini direpresentasikan oleh Service Level Agreement (SLA). Salah satu cara untuk meningkatkan SLA adalah dengan meminimalkan waktu downtime layanan. Waktu downtime ini disebut dengan Time to Repair (TTR) yang merupakan indikator kinerja dari Fault Management System (FMS). Semakin rendah nilai TTR, maka kinerja FMS pada PT. XYZ semakin baik. Pada penelitian ini akan dibahas mengenai peningkatan kinerja FMS dengan melakukan evaluasi proses bisnis FMS, mengukur nilai probabilitas kegagalan sistem dengan perubahan komposisi komponen, serta mendapatkan proses bisnis yang dapat meningkatkan kinerja FMS. Proses bisnis FMS direpresentasikan ke dalam Standard Operating Procedure (SOP) penanganan gangguan pada jaringan fiber optik. Metode Markov Chain (MC) digunakan untuk mengetahui tingkat kinerja proses bisnis FMS dari open ticket hingga closed ticket. Metode Fault Tree Analysis (FTA) digunakan untuk mengetahui probabilitas kegagalan sistem dari komposisi komponen-komponen dalam FMS. Tujuan metode FTA ini adalah untuk mendapatkan sistem yang memiliki probabilitas kegagalan yang minimum. Sistem yang baru tersebut kemudian diuji kembali kinerjanya dengan menggunakan metode MC. Dengan kedua metode tersebut didapatkan model proses bisnis yang dapat meningkatkan kinerja FMS di PT. XYZ hingga 92,64%.

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ABSTRACTEvery telecom company is obliged to provide good quality services to customers. Service quality standards is represented by SLA (Service Level Agreement). One way to improve the SLA is to minimize service downtime. This downtime is called with TTR (Time to Repair) which is an FMS (Fault Management System) performance indicator. The lower TTR values, the better the FMS performance. This research will discuss the performance improvement by evaluating FMS business process, determine the components that lead to system failure, measure the value of a system failure probability with changes in the composition of its components, and obtain business process that can improve FMS performance. FMS business process is represented in SOP of fiber optic fault handling process. MC (Markov Chain) method is used to determine the level of FMS business process performance for each process from open ticket to closed ticket. FTA (Fault Tree Analysis) method is used to determine the probability of system failure for various components composition in the FMS. The purpose of this method is to get a system that has a minimum system failure probability. The new system is then re-tested for its performance using MC method. With both methods we can obtain business process models that can improve the performance of FMS PT. XYZ up to 92.64%."

"Jakarta barometer mutu dan kehandalan listrik nasional sehingga perlu ditingkatkan customer experience menuju World Class Services, khususnya kawasan dengan revenue tinggi dan VIP. Kondisi saat ini penyebab dominan gangguan distribusi adalah Saluran Kabel Tegangan Menengah dan Jointing, sehinga diperlukan skenario evakuasi beban untuk pemenuhan contingency N-1 dalam rangka percepatan manuver pada saat terjadi gangguan. Sesuai roadmap service excellent PLN UID Jakarta target System Average Interruption Duration Indeks (SAIDI) di tahun 2033 sebesar 10,94 menit/pelanggan, dan realisasi di tahun 2023 sebesar 29,86 menit/pelanggan sehingga diperlukan strategi peningkatan kehandalan sistem distribusi. Tujuan dari penelitian ini untuk membuat studi kelayakan pengembangan smart grid dengan implementasi otomatisasi jaringan di sistem spindle untuk peningkatan kehandalan, revenue dan customer experience di kawasan prioritas PLN UID Jakarta. Penambahan Gardu Induk baru sesuai RUPTL akan berdampak adanya perubahan rekonfigurasi dan penambahan jaringan baru dalam rangka pembebanan penyulang dan menyebabkan topologi jaringan distribusi semakin kompleks tidak murni sistem spindle, di samping itu kondisi Jakarta yang macet juga berdampak semakin lama dalam pengusutan gangguan, serta keterbatasan anggaran investasi PLN belum mendukung pemasangan titik Keypoint baru di semua gardu distribusi. Penelitian ini dilakukan dengan pemodelan sistem di Distribution Management System SCADA untuk contingency N-1 dan dilakukan simulasi pengujian Self-Healing Mechanism berdasarkan parameter data statik dan dinamis secara realtime sesuai Load Flow dan Forecast beban di sistem SCADA. Selanjutnya dilakukan evaluasi kelayakan teknis dan finansial untuk dijadikan desain smart feeder yang akan diimplementasikan di sistem spindle PLN UID Jakarta dengan biaya investasi yang lebih ekonomis. Dengan melakukan Studi Kelayakan Pengembangan Distribution Automation System dengan Implementasi Fault Management fungsi Fault Location, Isolation and System Restoration (FLISR) diharapkan menjadi desain Distribution Grid Management yang layak diimplementasikan di sistem Spindle 20kV sebagai alternatif Zero Down Time untuk percepatan recovery time gangguan distribusi dan memperbaiki kinerja kehandalan dalam pengendalian operasi sistem distribusi di PLN UID Jakarta.

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Jakarta is a barometer of the quality and reliability of national electricity, so it is necessary to improve the customer experience towards World Class Services, especially areas with high revenue and VIP. Currently, the dominant causes of distribution disturbances are Medium Voltage Cable Channels and Jointing, so a load evacuation scenario is needed to fulfill the N-1 contingency in order to accelerate maneuvers in the event of a disturbance. According to PLN UID Jakarta's service excellent roadmap, the target is the System Average Interruption Duration Index (SAIDI) in 2033 of 10.94 minutes/customer, and the realization in 2023 is 29.86 minutes/customer, so a strategy is needed to increase the reliability of the distribution system. The purpose of this research is to make a feasibility study on the development of a smart grid by implementing network automation in the spindle system to increase reliability, revenue and customer experience in the priority areas of PLN UID Jakarta. The addition of a new main substation in accordance with the RUPTL will result in reconfiguration changes and the addition of new networks in order to load feeders and cause the distribution network topology to become more complex and not purely a spindle system, in addition to the congested conditions in Jakarta which also have an impact on the longer time it takes to investigate disturbances, as well as limited investment budgets. PLN does not yet support the installation of new Keypoint points at all distribution substations. This research was conducted by system modeling in the SCADA Distribution Management System for contingency N-1 and carried out a Self-Healing Mechanism test simulation based on static and dynamic data parameters in real time according to Load Flow and Load Forecast in the SCADA system. Furthermore, an evaluation of technical and financial feasibility is carried out to be used as a smart feeder design that will be implemented in the PLN UID Jakarta spindle system with a more economical investment cost. By conducting a Feasibility Study on the Development of a Distribution Automation System with Fault Management Implementation of the Fault Location, Isolation and System Restoration (FLISR) function, it is hoped that a Distribution Grid Management design that is feasible to implement in the 20kV Spindle system as an alternative to Zero Down Time to accelerate distribution disruption recovery time and improve performance reliability in controlling the operation of the distribution system at PLN UID Jakarta."