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Journal : Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri

PERANCANGAN PENILAIAN KINERJA KARYAWAN BERDASARKAN KOMPETENSI SPENCER DENGAN METODE ANALYTICAL HIERARCHY PROCESS(Studi Kasus di Sub Dinas Pengairan Dinas Pekerjaan Umum Kota Probolinggo) Eko Nurmianto; Nurhadi Siswanto
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 8 No. 1 (2006): JUNE 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (96.271 KB) | DOI: 10.9744/jti.8.1.40-53

Abstract

In this research, Worker Performance Appraisal System has been conducted in the Public Worker Council Probolinggo. This research especially conducted in the Sub Public Worker for Low Level Workers, i.e. Contract Workers. So far incentive in this institution was not given based on their performance, but based on the community agreement. Therefore, the worker performance appraisal system was designed based on the competency, namely the Spencer competency. For that purpose the Spencer appraisal Dimension has been integrated to DP3 (Daftar Penilaian Pelaksanaan Pekerjaan) and to the Competencies for the Executive Leadership Development. The results on those criterias were processed using the Expert Choice Software. The weight for the managerial skill is 0.200 and for the technical one is 0.800. Type of managerial skill is indicated by the competency criteria, i.e, discipline, serving, achievement, proactive and commitment to organization. The weights of each criterion are 0.318, 0.289, 0.151, 0.140, 0.102, respectively. On the other hand, Technical skills indicated by competency criteria are leadership and cooperation. Their weights are 0.500, 0.500, respectively. It can be concluded that, the accurate incentive system is an insentive system, based on profit share. This share is given according to the performance appraisal of each worker. Abstract in Bahasa Indonesia : Penelitian ini membahas tentang sistem penilaian kinerja karyawan yang dilakukan di Dinas Pekerjaan Umum Kota Probolinggo, khususnya Sub Dinas Pengairan untuk karyawan level bawah (karyawan kontrak). Selama ini pemberian insentif di Sub Dinas tersebut tidak didasarkan atas kinerja karyawan tetapi atas dasar kebersamaan/ gotong royong. Untuk meningkatkannya dirancang sistem penilaian kinerja karyawan berbasis kompetensi, khususnya kompetensi Spencer. Dimensi penilaian Spencer diintegrasikan dengan DP3 dan Competencies for Executive Leadership Development. Kriteria diolah dengan Software Expert Choice. Hasilnya bobot kemampuan karyawan kontrak terbagi atas: kemampuan manajerial (0.200) dan kemampuan teknik (0.800). Kemampuan manajerial terdiri dari: disiplin (0.318), melayani (0.289), berprestasi (0.151), proaktif (0.140), dan komitmen pada organisasi (0.102). Sedangkan kemampuan teknis terdiri dari: memimpin (0.500) dan kerjasama (0.500). Dari penelitian tersebut sistem insentif yang tepat adalah sistem insentif pembagian laba, dimana insentif yang diterima berdasarkan pada peningkatan kinerja karyawan. Kata kunci: penilaian kinerja karyawan, kompetensi, insentif, analytical hierarchy process.
PEMODELAN DAN PENYELESAIAN PERMASALAHAN PENJADWALAN PILOT DENGAN METODE EKSAK DEKOMPOSISI Ahmad Rusdiansyah; Yani Dhina Mirenani; Zya Labiba; Nurhadi Siswanto
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 9 No. 2 (2007): DECEMBER 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.97 KB) | DOI: 10.9744/jti.9.2.112-124

Abstract

Crew scheduling is one of most important operational problems in airline industries. Crew scheduling Problem consists of two steps that is "Crew Pairing" and "Crew Rostering". The research focusses on building Boeing 737-200's monthly pilot rostering of PT. X Airlines based on given pilot pairings. There are some vertical and horizontal regulations must be fulfilled in so that the problem becomes very complex and cannot be solved using a pure exact method in reasonable computational time. Accordingly, we propose a decomposition exact method to solve the problem. Our model was run using LINGO Optimization software. Experiment results showed that our schedules are outperform than the existing schedules of the airline for the case of May 2006. Abstract in Bahasa Indonesia : Penjadwalan kru pada suatu maskapai penerbangan merupakan salah satu permasalahan operasional yang terpenting. Penjadwalan kru terdiri dari dua tahapan yaitu tahap pengelompokkan kru dan penugasan kru. Penelitian ini memfokuskan pada pembuatan jadwal penugasan pilot pesawat Boeing 737-200 pada maskapai penerbangan PT. X Airlines yang ber-home base di Surabaya selama satu bulan, berdasar pada hasil pengelompokkan pilot yang telah ditentukan sebelumnya. Terdapat sejumlah peraturan horizontal dan vertikal yang harus dipenuhi membuatnya menjadi permasalahan kombinatorial yang sangat kompleks, sehingga tidak dapat diselesaikan dengan menggunakan metode eksak murni dalam waktu yang wajar. Untuk itu digunakan metode eksak dekomposisi. Model tersebut diterjemahkan menggunakan perangkat lunak optimisasi LINGO. Hasil eksperimen menunjukkan bahwa jadwal penugasan pilot yang dibuat dengan metode ini lebih baik daripada jadwal milik perusahaan untuk kasus pada bulan Mei 2006. Kata kunci: penjadwalan pilot, pengelompokkan pilot, aturan horizontal dan vertikal, metode eksak dekomposisi
A Hybrid Scatter Search Heuristic Algorithm for Solving Cockpit Crew Rostering Ahmad Rusdiansyah; Danim Musthofa; Nurhadi Siswanto; Maulin Masyito Putri
Jurnal Teknik Industri Vol. 20 No. 2 (2018): December 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (709.28 KB) | DOI: 10.9744/jti.20.2.141-152

Abstract

This research introduces the development of Hybrid Scatter Search Heuristic for solving cockpit crew (pilot and co-pilot) rostering problem. This research aims to minimize the deviation of flight hours among the cockpit crew of an airline, Garuda Indonesia Airline, during the one-month planning horizon. The weakness of the existing algorithm used in the airline, which is a trial-and-error algorithm, is that the variation among crew flight times for one month is too significant and the scheduling process takes a quite long time. We tested the performance of our proposed algorithm to that of the existing algorithm. The numerical experiments showed that the proposed algorithm had outperformed the existing algorithm. More specifically, we found some in sensitivity analysis experiments. Our experiment results showed that that the higher the flight time target, the higher the total deviation of flight time. We also conducted several experiments to show the robustness of our proposed algorithm. First, we tested the relationship between the number of pilots who can use their preferences and the total deviation of flight time. We conducted experiments by giving the cockpit crew the opportunity to choose a day off. Finally, we analyzed the results by changing the number of cockpit crew.
Throughput Analysis on a Multi-state Manufacturing System by Considering Availability Nabila Yuraisyah Salsabila; Nurhadi Siswanto; Erwin Widodo; Oryza Akbar Rochmadhan
Jurnal Teknik Industri Vol. 21 No. 2 (2019): December 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.302 KB) | DOI: 10.9744/jti.21.2.69-78

Abstract

Manufacturing technology becomes more complex as customer demand increases. Most manufacturing companies consist of multi-state manufacturing networks. Therefore, the reliability and availability parameters become an important issue to satisfy customer demand. Unavailability can result in reducing throughput because of decreasing operational production time. To resolve this problem, the buffer inventory can minimize the occurrence of material starving and production blocking during the equipment downtime. This paper will focus on experimenting with buffer inventory levels and the capacity of a multi-state manufacturing network to increase the production throughput on a company that has 70,000 tons per year of capacity. However, due to the unavailability problem, the existing system capacity decreases to 62,175 tons per year. The simulation model is used to improve throughput by modeling the failure interruption and the buffer inventory logics during the production process.
Co-Authors -, Elisabeth Adhi Iswantoro Adianto, Asyraf Nur Agoes Santoso Aguk Zuhdi Muchamad Fathallah Ahmad Rusdiansyah Alfa Muhammad Megawan Ali Reza, Muhammad Andi Irma Arianty Aris Setya Yuwana Asyraf Nur Adianto Asyraf Nur Adianto Atikah Aghdhi Pratiwi Aydin Doğan Bachtiar Rosihan Aghda Baihaqy, Ahmed Raecky Cahyono, Beny Danim Musthofa Defriko Christian Dewandhika Dewi Sartika Dimas Fajar Prasetyo Effi Latiffianti Eko Nurmianto Elisabeth - Erwin Widodo Erwin Widodo Fakher Shwan Rafeek Faris Zulfar Rosyadi Fathallah, Aguk Zuhdi Muhammad Hafidz Ridho Hari Prastowo Hasan Aji Prawira Hasan Aji Prawira Herawatie, Dyah Imam Trio Utama Iwan Febrianto Jamal Ramadhan Khoirunnisa Mahdiyah Syawalina Madina Nur Pratiwi Mar'atus Sholihah Maulin Masyito Putri Muhammad Badrus Zaman Muhammad Naufal Bintang Muhammad Saifulloh Muhammadi, Hamdan Musthofa, Danim Nabila Yuraisyah Salsabila Nabila Yuraisyah Salsabila Nugroho, Dwi Oktavianto Wahyu Oryza Akbar Rochmadhan Oryza Akbar Rochmadhan Prasetyo, Dimas Fajar Prawira, Hasan Aji Prayoga, Dharma Gita Surya Priambodo, Bangkit Nadyo Priyanta, Dwi Priyanta, Dwi Retno Widyaningrum Reza Tianto Ridho, Alvin Ichwannur Rochmadhan, Oryza Akbar Salsabila, Nabila Yuraisyah Semin Semin Semin Semin Semin Semin Semin Septian Cahya Shaneza Fatma Rahmadhanty Stefanus Eko Wiratno Sukriyah Kustanti Moerad Sukriyah Kustanti Moerad Syaputra, Oktavian Trika Pitana Widodo , Erwin Wolfgang Busse Yani Dhina Mirenani Yani Dhina Mirenani Zaman, Muhammad Badrus Zulaihan, Ahmad Zya Labiba Zya Labiba