In-house Quality Check System Improvement with Kanban System and Analysis Quality Control Circle

Penulis Santo Wijaya, Galih SupriadiFransisca DeboraP Yudi Dwi Arliyanto
Publisher Journal of Applied Industrial Engineering
Nomor ISSN 2654-5799

Sari

The development of digitalization has a positive impact to opportunity expand an innovation as a form of continuous improvement. One of the manufacturing companies, PT TCH, wants to implement Industry 4.0 innovation with the thought of integrating data and analytics supply chains. One of its applications is labeling error with a proportion value of 66% with an average error of 328 by creating a warning system for the Kanban system through the application of Quality Control Circle (QCC). The improvements made applying concepts Plan, Do, Check, and Action (PDCA) analysis by making improvements to the labeling system created from the PO database in marketing and creating a visualization of parts to help leverage product suitability. The results showed improvement with the decrease in cycle time from 265 seconds to 215 seconds and saving the cost IDR 70.48391 million / year. This research contributes theoretically in demonstrating the success of the application of QCC and in practical terms, it can provide a continuous increase in productivity and an actual decrease in process activities in the company.

Teks Lengkap

PDF

Referensi

Abdel-Hamid, M., & Abdelhaleem, H. M. (2019). Improving the Construction Industry Quality Using the Seven Basic Quality Control Tools. Journal of Minerals and Materials Characterization and Engineering, 7(1), 412–420. https://doi.org/10.4236/jmmce.2019.76028

Alfyanto, U. (2019). Penurunan tingkat cacat p-tank di line assembling 4 alumunium radiator dengan metode PDCA: Studi Kasus di PT. Denso Indonesia. Operations Excellence: Journal of Applied Industrial Engineering, 11(2), 107-118. doi:http://dx.doi.org/10.22441/oe.v.11.2.2019.021

Card, A. J. (2016). The problem with ‘5 whys.’ BMJ Quality & Safety, 1(1), 1–7. https://doi.org/10.1136/bmjqs-2016-005849

Chung, S., Won, S., Baeg, S.-H., & Park, S. (2009). Service-oriented reverse reengineering: 5W1H modeldriven re-documentation and candidate services identification. Service-Oriented Computing and Applications, 1–6. https://doi.org/10.1109/SOCA.2009.5410445

Darmawan, H., Hasibuan, S., & Hardi Purba, H. (2018). Application of Kaizen concept with 8 Steps PDCA to reduce in line defect at pasting process: A case study in automotive battery. Int. J. Adv. Sci. Res. Eng, 4(8), 97-107

Hafid, M. F., & Yusuf, A. M. S. (2018). Analisis Penerapan Quality Control Circle Untuk Meminimalkan Binning Loss Pada Bagian Receiving PT. Hadji Kalla Toyota Depo Part Logistik Makasar. Journal of Industrial Engineering Management, 3(2), 1–7

Isniah, S., Purba, H. H., & Debora, F. (2020). Plan do check action (PDCA) method: literature review and research issues. Jurnal Sistem dan Manajemen Industri, 4(1), 72–81. https://doi.org/10.30656/jsmi.v4i1.2186

Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0.

Liliana, L. (2016). A new model of Ishikawa diagram for quality assessment. A new model of Ishikawa diagram for quality assessment, 1–6. https://doi.org/10.1088/1757-899X/161/1/012099

Nasution, A. Y., Yulianto, S., & Ikhsan, N. (2018). Implementasi Metode Quality Control Circle Untuk Peningkatan Kapasistas Produksi Propeller Shaft di PT XYZ. SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin, 12(1), 33–39.

Nayatani, Y., Eiga, T., Futami, R., & Miyagawa, H. (2010). The Seven New QC Tools: Practical Applications for Managers. Japan: JUSE Press Ltd.

Patel, P., Shah, S. C., & Makwana, S. (2014). Application of Quality Control Tools in Taper Shank Drills Manufacturing Industry: A Case Study. International Journal of Engineering Research and Applications, 4(2), 129–134.

Podgórski, D. (2015). Measuring the operational performance of OSH management system – A demonstration of AHP-based selection of leading key performance indicators, Journal Safety Science Elsevier, 73(1), 146–166. https://doi.org/10.1016/j.ssci.2014.11.018

Qin, J., Liu, Y., & Grosvenor, R. (2016). A Categorical Framework of Manufacturing for Industry 4.0 and Beyond. Procedia CIRP, 52(1), 173–178. https://doi.org/10.1016/j.procir.2016.08.005

Salaheldin, S. I., & Zain, M. (2007). How quality control circles enhance work safety: a case study. TheTQM Magazine, 229–244. https://doi.org/10.1108/09544780710745658

Scheneider, P. D. (1997). FOCUS-PDCA ensures continuous quality improvement in the outpatient setting. Oncology nursing forum, 2(6). https://pubmed.ncbi.nlm.nih.gov/9243581/

Wang, L.-R., Wang, Y., Lou, Y., Li, Y., & Zhang, X. (2013). The role of quality control circles in sustained improvement of medical quality. SpringerPlus, 2(1), 141–146. https://doi.org/10.1186/2193- 1801-2-14

Design and Implementation of Poka-Yoke System in Stationary Spot-Welding Production Line Utilizing Internet-of-Things Platform

Penulis Santo Wijaya, Slamet Hariyadi, Fransisca Debora , Galih Supriadi
Publisher Journal of ICT Research and Applications
Nomor ISSN 2338-5499

Sari

This paper presents the design and implementation of a poka-yoke system in a stationary spot welding (SSW) production line. The human-based SSW production process in a local automotive component company was considered in this study. Due to the repetitive and fast cycle-time of the production process, human errors are inevitable. Such errors lead to customer claims with the subject company. Based on the data of customer claims, there were three major quality issues (missing nuts, wrong-size nuts, asymmetrical spot weld marks). Due to the production line being manual, control of planned production and actual production was poor, leading to delivery issues (delayed delivery). Together these major issues contributed to 34.7% of customer claims on average from May to December 2018. The objective of this study was to solve the issues in the subject company through design and implementing a poka-yoke system utilizing the internet-of-things (IoT) platform to ensure data acquisition and information storage, and production progress monitoring and data analysis to meet user requirements. The combined approach of the poka-yoke system utilizing IoT in the SSW production line yielded satisfactory results with reduced customer claims to 5.3% for the stated problems from February to May 2019. Hence, the design objective was achieved

Teks Lengkap:

PDF

Referensi

Mahmood, W.H.W., Rahman, M.N.A., Deros, B.M. & Jaharah, A.G., Improving Production Line Performance, Applied Mechanics and Materials, 44(47), pp. 4136-4140, December 2011.

Grzechca, W., Manufacturing in Flow Shop and Assembly Line Structure, International Journal of Materials, Mechanics, and Manufacturing, 4(1), pp. 25-30, 2016

EFFRA (European Factories of the Future Research Association), Factories 4.0 and Beyond, https://www.effra.eu/sites/default/files/factories40_beyond_v31_public.pdf. (31 May 2020)

Htay, M.M., Shunsheng, G. & Asa, A.R., Quality Information Flow of Welding Process in Auto Manufacturing, International Journal of Scientific and Technology Research, 2(4), pp. 162-167, 2013.

Kumar, T.V., Gopinath, K., Radhakrishnan, V. & Yasodharan, K., Designing a Method for Solving Quality, Cost, and Delivery Problem’s in SMEs, International Journal of Innovative Research in Science, Engineering, and Technology, 3(2), pp. 521-528, 2014.

Kenger, P. & Erixon, G., Studies of Design and Assembly Defects on Integrated and Modular Architectures, International Conference on Engineering Design, pp. 351-358, 2005.

Shimbun, N.K., Poka-Yoke: Improving Product Quality by Preventing Defects, Cambridge, MA: Productivity Press, 1988.

Zhang, Y., Cheng, Y. & Tao, F., Smart Production Line: Common Factors and Data-Driven Implementation Method, Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference, pp. 1-7, 2017.

Koo, D.D., Lee, J.J., Sebastiani, A. & Kim, J., An Internet-of-Things (IoT) System Development and Implementation for Bathroom Safety Enhancement, Procedia Engineering, 145(1), pp. 396-403, 2016.

Kao, K.C., Chieng, W.H. & Jeng, S.L., Design and Implementation of an IoT-based Web Application for an Intelligent Remote SCADA System, IOP Conf. Series: Materials Science and Engineering, 323, pp. 1-7, 2018.

Ahire, N.S., Nimbalkar, U.M. & Raijade S.R., Design and Implementation of Mechanical Poka-Yoke System Using Programmable Logic Controller, International Journal of Mechanical and Production Engineering, 2(9), pp. 31-35, 2014.

Burlikowska, M. D. & Szewieczek, D., The Poka-Yoke Method as An Improving Quality Tool of Operations in the Process, Journal of Achievements in Materials and Manufacturing Engineering, 36(1), pp. 95- 102, 2009.

Sachin, R.S., Beeranur, R. & Sharavanan, Design and Automation of HSU Assembly Station by Poka-Yoke, International Journal of Engineering Research and Technology, 4(6), pp. 984-990, 2015.

Estrada, G., Lloveras, J. & Riba, C., Design for Poka-Yoke Assembly an Approach to Prevent Assembly Issues, International Design Conference, pp. 351-358, 2008.

Kimchi, M. & Phillips, D.H., Resistance Spot Welding: Fundamentals and Applications for the Automotive Industry, San Rafael, CA: Morgan & Claypool, 2018.

Jeffus, L.F., Welding: Principles and Applications, Clifton Park, NY: Cengage Learning, 2002.

Sisk, A., Types of Resistance Welding, from https://www.hunker.com/13414664/types-of-resistance-welding (21 June 2019).

Entron, Resistance Welding Controls and Applications, from https://www.entroncontrols.com/images/downloads/700101F.pdf (21 June 2019)

Kumar, R., Dwivedi, R.K. & Verma, A., Poka-Yoke Technique, Methodology, and Design, Indian Journal of Engineering, 13(33), pp. 362-370, 2016.

Ahmed, A., Poka-Yoke: Techniques to Prevent Defects, Bradford, UK: The European Centre for Total Quality Management, 2004.

Siddarth, S., Implementation of Poka-Yoke using Electronic Sensors, Precision Engineering, 35(1), pp. 123-130, 2013.

Implementasi Metode Simple Additive Weighting Untuk Menentukan Karyawan Teladan di PT Smart Solution Bekasi

Penulis Cepi Cahyadi, Manase Sahat H Simarangkir
Publisher Jurnal Inkofar
Nomor ISSN 2581-2920

Sari

PT Smart Solution memiliki banyak karyawan yang berprestasi, tetapi ketika melakukan proses seleksi karyawan teladan sangat sulit, karena setiap karyawan memiliki kemampuan yang berbeda-beda, Pengambilan keputusan untuk memilih karyawan teladan melainkan atas dasar subyektifitas kepala bagian departemen yang terkait yang berbeda-beda. Sehingga banyak yang mengajukan komplain tentang keputusan terpilihnya karyawan teladan yang kurang tepat sasaran. Dengan permasalahan yang ada maka peneliti mencoba merubah sistem yang lama dengan menerapkan sistem pendukung keputusan menggunakan metode Simple Additive Weighting. Konsep dasar metode Simple Additive Weighting adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua atribut.Kriteria yang menjadi penentuan karyawan teladan di PT Smart Solutionadalah penilaian kinerja, masa kerja dan Sikap. Nilai yang lebih besar akan mengindikasikan bahwa alternative lebih terpilih. Pada kasus penentuan Karyawan teladan di PT Smart Solution hasil dari penilaian menggunakan metode Simple Additive Weighting dengan menggunakan penilaian yang sebelumnya akan terlihat perbedaannya pada saat proses perangkingan.

Teks Lengkap:

PDF

Referensi

 

Dessler, Gary (2005). Manajemen Sumber Daya Manusia, Edisi 10, terjemahan, Salemba Empat

Latif, Lita Asyriati, Mohamad Jamil, dan Said HI Abbas. 2018. Sistem PendukungKeputusan Teori dan Implementasi.Yogyakarta: DEEPUBLISH.

Mulyani, Evi Dewi Sri. Yoga Handoko Agustin dan Sri Fitria Kamellia. (2015). Sistem Pendukung Keputusan Siswa Teladan Menggunakan Metode Simple Additive ( Studi Kasus : Di Smp Negeri 3 Tasikmalaya ). Seminar Nasional Informatika. 38–44.

Nofriansyah, Dicky. (2014). Konsep Data Mining vs Sistem Pendukung Keputusan. Yogyakarta: Deepublish.

Anita Siandar RMS, Jamal Purba “Penentuan Karayawan Lembur Dengan Metode AnalyticalHierarchy Process (Ahp)”Jurnal Inkofar * Volume 1 No. 2, Desember 2018 * ISSN: 2615-3645 (Print) / 2581-2920 (Online)Tersedia secara online di: http://www.politeknikmeta.ac.id/meta/ojs/

Rina Endarti, Andriani Kusumaningrum, Wawan Laksito YS “PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM MENGEVALUASI KINERJA KARYAWAN UNTUK MEMILIH KARYAWAN TELADAN DI PT. SRITEX, TBK (DEPT. SPINNING V) SUKOHARJO

Saefudin, Sri Wahyuningsih “Sistem Pendukung Keputusan Untuk Penilaian Kinerja Pegawai Menggunakan Metode AnalyticalHierarchy Process (Ahp) Pada RSUD Serang” Jurnal Sistem Informasi Vol- 1 No.1 2014 ISSN: 2406-7768”

Sutabri, Tata. 2012. Konsep Sistem Informasi. Yogyakarta: ANDI.

Analisis Kadar Natrium dan Kalium Pada Sediaan Infus Elektrolit Menggunakan Spektrofotometer Serapan Atom (SSA)

Penulis Sudrajat Sugiharta, Jubaedah
Publisher Jurnal Inkofar
Nomor ISSN 2581-2920

Sari

Spesifikasi produk sediaan steril harus memenuhi diantaranya adalah nilai pH, penetapan kadar logam serta penampilan. Pengujian kadar logam natrium dan kalium diterima sebagai penanda jaminan kualitas produk sediaan infus dimana penetapannya menggunakan Spektrofotometer Serapan Atom (SSA), Penelitian ini bertujuan untuk mengetahui apakah kadar natrium dan kalium dalam sediaan infus elektrolit (Tutofusin OPS) telah memenuhi spesifikasi atau tidak sebagai bagian dari kualifikasi released produk, metode penelitian yang dilakukan secara eksperimental penentuan kadar logam natrium dan kalium, pemeriksaan pH, serta penampilan dari tiga nomor bets yang berbeda. Dari hasil pengukuran kadar natrium (mEq/L) didapatkan bets nomor X001 yaitu 96.1 ± 0.35 lebih rendah dari nomor bets X002 yaitu 96.72 ± 0.91, sedangkan nilai tertinggi yaitu pada nomor bets X003 sebesar 97.35 ± 0.32, ketiga nomor bets tersebut telah memenuhi spesifikasi yaitu 93.00 – 107.00 mEq/L. Kadar kalium (mEq/L) pada nomor bets X003 yaitu 17.23 ± 0.12 lebih rendah dari nomor bets X002 yaitu 17.90 ± 0.18, dan bets X001 17.82 ± 0.01, ketiga bets tersebut telah memenuhi spesifikasi yaitu 16.74– 9.26 mEq/L. Pada nilai pH dari tiap bets didapatkan hasil bets nomor X001 yaitu 6.63 lebih rendah dari nomor bets X002 yaitu 6.73, sedangkan nilai tertinggi pada nomor bets X003 sebesar 6.74. ketiga bets telah memenuhi spesifikasi yaitu 6.60 – 7.00. Sedangkan untuk hasil penampilan dari tiga bets yang berbeda didapatkan larutan jernih tidak berwarna serta bebas partikel. Penelitian ini menyimpulkan bahwa ketiga parameter tersebut menunjukkan kadar natrium dan kalium, nilai pH serta penampilan pada sediaan infus elektrolit tersebut telah memenuhi spesifikasi

Teks Lengkap:

PDF

Referensi

 

Badan POM, 2010. Farmakope Indonesia Edisi Ke III, Departemen Kesehatan Republik Indonesia. Badan POM. Jakarta.

Badan POM, 2014. Farmakope Indonesia Edisi Ke V, Departemen Kesehatan Republik Indonesia. Badan POM. Jakarta.

Badithala, S.S. Kiran, dan Sundarajan, 2018. Method Development and Validation for the Estimation of Natrium Metal Content in Pantoprazole Natrium by Atomic Absorption Spectrophotometer. Jurnal IOSR-JPBS 13(2).

Darsono.F, 2013. Formulasi Sediaan Steril Infus Intravena Ringer. Universitas Pancasila. Jakarta.

Dorland N, 2011. Kamus Saku Kedokteran Dorland. Edisi ke 26. EGC. Jakarta.

Karlina A.T, F.Y Nonci, Haeria, dan A.H. Elmagboul. 2018. Analisis Kandungan Mineral Natrium, Kalium Dan Kalsium Dalam Air Zamzam Kemasan Yang Beredar Di Kota Makassar. UIN Alauddin. Makassar.

Marhani. A, 2016. Futrolit Kridtaloid Infus. Sanbe Farma. Bandung.

Marie. N, C. Verdier, B.L. Bot, dan G. Burgot, 2011. Analysis of Sodium and Potassium in Total Parenteral Nutrition Bags by ICP-MS and ICP-AES: Critical Influence of the Ingredients. American Journal of Analytical Chemistry,(2) page 573-581

Maulidar. N.P, 2018. Penetapan Kadar Kalium, Kalsium, Natrium dan Magnesium dalam Buah Nangka (Artocarpus heterophyllus Lam.) Betina dan Jantan Secara Spektrofotometri Serapan Atom. Universitas Sumatera Utara. Medan.

MIMS. Magnesium Klorida [Internet]. MIMS; 2019. Diambil dari: http://mims.com/Indonesia/Home/GatewaySubscription/?generic=Magnesium+Klorida%20target, Diakses 29 Mei 2019.

Novita. D, 2018. Formulasi Teknologi Sediaan Steril. Sekolah Tinggi Farmasi Muhammadiyah. Tangerang

Nuryanto, R.U.A.Sherwin, dan R.F. Robot , 2015. Rancang Bangun Otomatis Sistem Infus Pasien. Universitas Sam Ratulangi. Manado

Nussbaumer S, Fleury-Souverain S, Bouchoud L, Rudaz S, Bonnabry P, Veuthey JL. 2010 “Determination of Kalium, Natrium, Calcium and Magnesium in Total Parenteral Nutrition Formulations by Capillary Electrophoresis with Contactless Conductivity Detection,” Journal of Pharmaceutical and Biomedical Analysis, Vol. 53

IMPLEMENTASI WAP (WIRELESS APPLICATION PROTOCOL) DAN WEB UNTUK LAYANAN SISTEM INFORMASI NILAI MAHASISWA (Studi Kasus: Politeknik Meta Industri Cikarang)

Penulis Manase Sahat H Simarangkir , Adam Puspabhuana
Publisher Jurnal Inkofar
Nomor ISSN 2581-2920

Sari

Teknologi Wireless Application Protocol (WAP) merupakan penggabungan antara teknologi internet dengan teknologi nirkabel sehingga untuk mengakses informasi bisa dilakukan dimana saja selama terhubung dengan internet dan menggunakan media nirkabel. Perkembangan teknologi diberbagai bidang mendorong berkembangnya teknologi informasi dalam menghasilkan informasi yang berguna untuk pengambilan berbagai keputusan penting baik di masyarakat, institusi atau organisasi. Untuk menghasilkan keputusan yang efektif dan efisien dibutuhkan sistem yang mampu mengolah data menjadi informasi yang tepat guna. Salah satu teknologi yang berkembang adalah teknologi telepon selular. Dengan teknologi telepon selular, informasi bisa diakses dengan mudah dan cepat. Pada institusi Politeknik Meta Industri Cikarang belum adanya sistem informasi pengolahan nilai mahasiswa berbasis WAP. Dengan memanfaatkan teknologi berbasis WAP bertujuan agar informasi nilai mahasiswa dapat diakses oleh mahasiswa atau web admin kapanpun dan dimanapun menggunakan telepon selular. Metode penelitian yang dilakukan meliputi pengumpulan data, studi kepustakaan, perancangan, pemrograman, uji coba dan implementasi sistem. Bahasa pemrograman yang digunakan yaitu Wireless Markup Language serta PHP dengan dukungan basisdata MySQL. Pada tahap pengujian dan implementasi, sistem dapat diakses oleh web admin hanya menggunakan website sedangkan untuk mengakses informasi nilai mahasiswa dapat menggunakan telepon seluler dan website. Hasil akhir penelitian yaitu menghasilkan sistem informasi, dimana mahasiswa dapat melihat nilai menggunakan telepon selular dan website.

Teks Lengkap:

PDF

Referensi

Anhar. 2010. PHP dan MySQL Secara Otodidak. Media Kita. Jakarta Selatan.

Cobantoro, A.F 2016. “Perancangan Wireless Application Protokol dan Web Sistem Informasi Studi Kasus SMU N IV Madiun”. Jurnal Ilmiah NERO, Vol 2, No 2.

Dennis, Alan, Barbara Haley Wixom, dan David Tegarden. 2015. System Analysis Design an ObjectOriented Approach with UML Fifth Edition. New Jersey: WILEY.

Hartawan, A 2013.” Implementasi Wireless Application Protocol (WAP) Untuk Layanan Pengisian KRS di Politama Surakarta”. Jrnal Nasional Teknik Elektro dan Teknologi Informasi- JNTETI, Vol 2, No 4

Kuway, S.M 2015. “Penerapan Teknologi Wireless Application Protocol Untuk Pemesanan Tiket Taxi Berbasis Mobile”. Seminar Nasional Informatika 2015.

Simarmata, Janner. 2006. Aplikasi Mobile Commerce Menggunakan PHP dan MySQL. Andi Yogyakarta.

 Simarmata, Janner. 2006, Pemrograman WAP denganmenggunakan WML. Andi Yogyakarta. Yogyakarta

 Sutabri, Tata 2010. Konsep Sistem Informasi, Andi Offset Yogyakarta. Yogyakarta.

Sutariyani, 2015.” Perancangan Sistem Informasi Kampus berbasis WAP (Wireless Application Protocol)”. Indonesian Journal on Networking and Security-IJNS, Vol 4, No 1.

EVALUASI STANDAR PELAYANAN KEFARMASIAN APOTEK DI APOTEK X BERDASARKAN PERMENKES NOMOR 73 TAHUN 2016

Penulis Tisa Amalia
Publisher Jurnal Inkofar
Nomor ISSN 2581-2920

Sari

Apoteker harus memahami dan menyadari kemungkinan terjadinya kesalahan pengobatan dalam proses pelayanan dan mengidentifikasi, mencegah serta mengatasi masalah terkait obat, masalah farmakoekonomi, dan farmasi sosial. Menghindari hal tersebut maka seorang apoteker harus menjalankan praktik sesuai dengan standar pelayanan kefarmasian. Penelitian ini bertujuan untuk mengetahui penerapan Standar Pelayanan Kefarmasian Di Apotek X Kota Bandung. Penelitian ini menggunakan metode penelitian pendekatan yang bersifat yuridis normatif, yaitu dengan mengkaji atau menganalisa data sekunder yang berupa bahan-bahan hukum terutama bahan hukum primer dan bahan hukum sekunder dengan memahami hukum sebagai seperangkat peraturan atau norma-norma positif di dalam sistem perundang-undangan yang mengatur mengenai kehidupan manusia dan didukung dengan kenyataan di lapangan. Selain menggunakan data sekunder, menggunakan juga data primer. Data primer adalah data yang diperoleh dari lapangan dengan cara memberikan kuesioner. Hasil dari penelitian ini yaitu bahwa Apotek X belum semuanya menerapkan standar pelayanan kefarmasian yang sudah ditentukan dalam peraturan perundang-undangan. Standar Pelayanan Kefarmasian Pada kegiatan pengelolaan sediaan farmasi, alat kesehatan dan bahan medis habis pakai belum dilakukan pemusnahan resep setiap 5 tahun. Pelayanan farmasi klinis pada pengkajian resep tidak dilakukan pertimbangan klinis terkait reaksi obat yang tidak diinginkan, kontraindikasi dan pertimbangan klinis terkait interaksi. Pelayanan informasi obat terkait informasi interaksi obat dan informasi farmakokinetik juga belum dilakukan. Pada kegiatan konselin tidak dilakukan konseling yang terdokumentasi. Pelayanan kefarmasian di rumah, Pemantauan Terapi Obat dan Monitoring Efek Samping Obat tidak dilakukan.

Teks Lengkap:

PDF

Referensi

Charles J.P. Siregar. 2003. Farmasi Rumah Sakit Teori & Penerapan. Jakarta: EGC

Satibi dkk. 2018. Manajemen Apotek. Yogyakarta: Gajah Mada University Press.

Sari Prabandari. 2018. Gambaran Manajemen Standar Pelayanan Kefarmasian Di Apotek Permata Kota Tegal. Jurnal Para Pemikir Vol. 7, Nomor 1, 2018: 202 – 208

Undang – Undang Nomor 36 Tahun 2009 Tentang Kesehatan (Lembaran Negara Republik Indonesia Tahun 2009 Nomor 144)

Peraturan Menteri Kesehatan Nomor 9 Tahun 2017 Tentang Apotek (Berita Negara Republik Indonesia Tahun 2017 Nomor 276)

Peraturan Menteri Kesehatan Nomor 73 Tahun 2016 Tentang Standar Pelayanan Kefarmasian Di Apotek (Berita Negara Republik Indonesia Tahun 2017 Nomor 50).

Peraturan Pemerintah Republik Indonesia Nomor 51 Tahun 2009 Tentang Pekerjaan Kefarmasian (Lembaran Negara Republik Indonesia Tahun 2009 Nomor 124).

A Framework of e-Kanban System for Indonesia Automotive Mixed-Model Production Line

Penulis Santo Wijaya, Fransisca Debora, Galih Supriadi, Insan Ramadhan
Publisher International Journal of Science and Research (IJSR)
Nomor ISSN 2319-7064

Sari

The paper describes a development framework of e-Kanban (electronic Kanban) system for Indonesia automotive mixedmodel production line. It is intended to solve problems found during the implementation of traditional kanban system in the subjected company. The traditional kanban system posed inefficiencies in the production line and it has been identified in this paper. The impact is significant in causing delay information for production instruction, loss of kanban cards, inaccurate inventory, and other humanrelated errors. We also identified that these inefficiencies are also increasing with the increase of product variety and volume in mixedmodel production line. The presented framework is the extension of the traditional kanban system that has been running for over one year in the subject company. Design framework objective is to handle all the inefficiencies problem occurred and improve the overall efficiency of material and information flow within the production line. It is a combination of paper-based kanban and software-based kanban system. Paper-based kanban handles the movement of man and material in the production line. While software-based kanban system handles kanban lot-sizing control, production instruction schedule, and integration with the subjected company ERP (Enterprise Resource Planning) system. The contribution of this work is an e-Kanban framework system for an in-house production system that employs mixed-model production line.

Teks Lengkap:

PDF

Referensi

Y. Monden, “Toyota production system: an integrated approach to Just-In-Time,” CRC Press, 4th Ed., Florida, 2011.

H. Mariam, E. A. Laila, A. Abdellah, “E-kanban the new generation of traditional kanban system, and the impact of its implementation in the enterprise,” in Proceeding of the International Conference on Industrial Engineering and Operations Management, Rabat, Morocco, pp. 1261-1270, 2017.

C. S. Kumar, R. Panneerselvam, “Literature review of JIT-Kanban system,” International Journal of Advanced Manufacturing Technology, 32(1), pp. 393-408, 2007.

A. Lee-Mortimer, “A continuing lean journey: an electronic manufacturer’s adopting of Kanban,” Assembly Automation, 28(2), pp. 103-112, 2008.

R.A. Inman, R.S. Sale, Jr. K. Green, D. Whitten, “Agile manufacturing: relation to JIT, operational performance and firm performance,” Journal of Operations Management, 4(29), pp. 343-355, 2011.

T. Melton, “ The benefits of lean manufacturing: what lean thinking has to offer the process industries,” Chemical Engineering Research and Design 83(A6), pp. 662-673, 2005.

E. Corona, E. P. Filippo, “A review of lean-kanban approaches in the software development,” WSEAS Transactions on Information Science and Applications, 1(10), pp. 1-13, 2013.

R. Kumar, V. Kumar, “Lean manufacturing: elements and its benefits for manufacturing industry,” in Proceeding of the National Conference on Trends and Advances in Mechanical Engineering, Fariadabad, Haryana, pp. 748-755, 2012.

A. N. Nida, J. Roseleena, H. Nurul, “Design framework of a smart kanban system for Malaysian automotive mixed-model assembly line,” Journal of Scientific Research and Development,” 3(4), pp. 35-41, 2016.

M. Zemczak, D. Krencyzek, “A new procedure of production order sequencing in mixed-model production systems,” Advanced Material Research 1036, pp. 864- 868, 2014.

S. Pedro, R. V. Leonilde, “Cellular manufacturing with kanbans optimization in Bosch production system,” The Romanian Review Precision Mechanics, Optics, & Mechatronics 20(37), pp. 393-410, 2010.

G. Kovac, S. Kot, “Facility layout redesign for efficiency improvement and cost reduction,” Journal of Applied Mathematics and Computational Mechanics, 16(1), pp. 63-74, 2017.

M. T. M. Ramadan, “RFID-enabled dynamic value stream mapping for a smart real-time lean-based manufacturing system,” Dissertation, University of Duisburg-Essen, 2016.

M. Zemczak, D. Krencyzek, “A new procedure of production order sequencing in mixed-model production systems,” Advanced Material Research 1036, pp. 864- 868, 2016.

J. K. Liker, J. M. Morgan, “The Toyota way in services: the case of lean product development,” The Academy of Management Perspectives, 2(20), pp. 5-20, 2006.

J. Majava, T. Ojanpera, “Lean production development in SMEs: a case study,” Management and Production Engineering Review, 2(8), pp. 41-48, 2017.

M. Apreutesei, E. Suciu, I. R. Arvinte, D. Munteanu, “Application of kanban system for managing inventory,” Bulletin of the Transilvania University of Brasov, 3(52), pp. 161-166, 2010.

Y. Dallery, G. Liberopoulos, “Extended kanban control system: combining kanban and base stock,” IIE Transactions, 32, pp. 369-386, 2000.

N. A. A. Rahman, S. M. Sharif, M. M. Esa, “Lean Manufacturing Case Study with Kanban System Implementation,” in Internasional Conference on Economics and Business Research, Kedah, Malaysia, pp. 174-180, 2013.

S. Jarupathirun, A. P. Ciganek, T. Chotiwankaemanee, C. Kerdpitak, “Supply chain efficiencies through eKanban – A case study,” in Int. Conference IEEE, pp. 1092-1096, 2009.

M. R. Naik, E. V. Kumar, B. U. Goud, “Electronic kanban system,” Internasional Journal of Scientific and Research Publications,” 3(3), pp. 1-6, 2013.

B. Vernyi, T. Vinas, “Easing into e-kanban,” Industry Week, 12(254), pp. 32, 2005.

P. Middleton, D. Joyce, “Lean software management: BBC worldwide case study,” IEEE Transactions on Engineering Management, 1(59), pp. 20-32, 2010.

S. L. Chee, M. Y. Mong, J. F. Chin, “Milk-run kanban system for raw printed circuit board withdrawal to surface-mounted equipment,” Journal of Industrial Engineering and Management, 5(2), pp. 382-405, 2012.

P. Jonsson, S. A. Mattsson, “Inventory management practices and their implications on perceived planning performance,” Internation Journal of Production Research, 46(7), pp. 1787-1812, 2008.

C. Ladas, “Scrumban: Essays on kanban systems for lean software development,” WA: Modus Cooperandi Press, Seattle, 2008.

T. Al-Hawari, F. Aqlan, “A software application for ekanban based WIP control in the alumunium industry,” International Journal Modeling in Operations Management, 2(2), pp. 119-137, 2012.

M. Majchrzak, L. Stilger, “Experience report: introducing kanban into automotive software project,” e-Informatica Software Engineering Journal, 1(11), pp. 39-57, 2017.

A. Naufal, A. Jaffar, N. Yusoff, N. Hayati, “Development of Kanban System at Local Manufacturing Company in Malaysia – Case Study,” in International Symposium on Robotics and Intelligent Sensors, Sarawak, Malaysia, pp. 1721-1726, 2012.

ANALISA METODE CLASSIFICATION-DECISSION TREE DAN ALGORITMA C.45 UNTUK MEMPREDIKSI PENYAKIT DIABETES DENGAN MENGGUNAKAN APLIKASI RAPID MINER

Penulis Febie Elfaladonna, Ayu Rahmadani
Publisher SINTECH JOURNAL
Nomor ISSN 2598-9642

Sari

Penyakit diabetes merupakan penyakit degeneratif yang setiap tahun presentasi penderitanya selalu meningkat. Ketidaktahuan orang awam untuk memprediksi kemungkinan penyakit ini baik dari turunan maupun bukan turunan masih sedikit. Hal tersebut berpengaruh kepada tingkat kewaspadaan penderita terhadap hal-hal yang dapat memicu penyakit diabetes yang semakin parah. Klasifikasi pada penelitian ini bertujuan untuk membentuk model pohon keputusan agar penanganan penyakit diabetes berdasarkan riwayat turunan semakin mudah dilakukan. Untuk menghasilkan informasi baru maka digunakan perhitungan algoritma C.45 dan pengujian algoritma yang menggunakan aplikasi rapid miner akan semakin memperkuat keputusan. Pada pengujian penelitian ini menggunakan beberapa atribut klasifikasi yakni atribut berat badan, jenis kelamin (atribut bantuan), tekanan darah, kadar gula darah, dan riwayat penyakit diabetes. Semua atribut tersebut akan dijadikan acuan dalam penelusuran hasil sehingga penderita dapat memprediksi sendiri apakah penyakit diabetes yang diderita adalah penyakit diabetes turunan atau tidak turunan.

Teks Lengkap:

PDF

Referensi

Budi Santosa, 2007. Data Mining Teknik Pemanfaatan Data untuk Keperluan Bisnis. Yogyakarta. Graha Ilmu.

Bustami, 2013. Penerapan Algoritma Naive Bayes Untuk Mengklasifikasi Data Nasabah Asuransi. Jurnal Penelitian IJNS – Indonesian Journal on Networking and Security – Volume 5 No 1 – 2016 – ijns.org ISSN : 1979-9330 (Print) – 2088-0154 (Online) 54 Teknik Informatika (TECHSI) Vol. 2: 2, 127-146, 2013.

Gambbeta, Windy. 2012. Pohon Keputusan (Decision Tree). Departemen Teknik Informatika. Institute Teknologi Bandung. Bandung.

Iwan Santosa, dkk. 2018. Implementasi Algoritma Decision Tree C.45 Untuk Diagnosa penyakit Tubercolusis (TB). Jurnal Ilmiah Nero Vol.3, No 3. Program Studi Teknik Informatika. Universitas Trunojoyo Madura.

Jiawei Han and Micheline Kamber Simon Fraser, 2000. Data Mining: Concepts and Techniques.Morgan Kaufmann Publishers. All rights reserved.

Larose D, T., 2006, Data Mining Methods and Models, Jhon Wiley & Sons, Inc. Hoboken New Jersey.

Obbie Kristanto, 2015. Penerapan Algoritma Klasifikasi Data Mining Id3 Untuk Menentukan Penjurusan Siswa SMAN 6 Semarang. Jurusan Teknik Informatika. Universitas Dian Nuswantoro. Semarang.

Pramudiono, I. 2006. Apa itu Data Mining. Dalam http://datamining.japati.net/cgibin, diakses tanggal 16 september 2017. ISSN : 2548-964X. http://jptiik.ub.ac.id. Program Studi Teknik Informatika. Fakultas Ilmu Komputer. Universitas Brawijaya

Rizky Haqmanullah Pambudi, dkk.  Penerapan Algoritma C.45 Untuk Memprediksi Nilai Kelulusan Siswa Sekolah Menengah Berdasarkan Faktor Eksternal. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol.2, No. 7, Juli 2018, hlm 2637-2643.

 Turban, E. et al, 2005. Decision Support Systems and Intelligent Systems (Sistem Pendukung Keputusan dan Sistem Cerdas). Andi Offset. Yogyakarta

 Wu Xindong et al. Top 10 Algorithms in Data Mining. Di dalam: Knowledge Information System. Vol. 14. London: Springer; 2008. hlm. 1-37

Pengaruh Kualitas Pelayanan dan Kualitas Pembelajaran Terhadap Kepuasan Mahasiswa Sebagai Analisis Produktivitas Perguruan Tinggi

Penulis Fransisca Debora, Harnadewita
Publisher Operations Excellence
Nomor ISSN 2654-5799

Sari

Perkembangan ilmu pengetahuan dan teknologi serta faktor masyarakat ekonomi ASEAN (MEA) yang didukung dengan peningkatan industri 4.0 maka pemerintah memberikan tanggungjawab penting bagi perguruan tinggi untuk mampu menghasilkan sumber daya manusia yang dapat bersaing pada era tersebut. Hal ini mempengaruhi perguruan tinggi untuk terus melakukan peningkatan dalam hal kualitas pembelajaran, kualitas pelayanan, untuk memberikan kepuasan kepada mahasiswa yang memberikan pengaruh kepada produktivitas perguruan tinggi. Berkaitan dengan hal tersebut dilakukanlah penelitian terhadap 120 sampel responden mahasiswa (mahasiswa aktif, dan alumni) yang digunakan memberikan informasi dengan penyebaran kuesioner yang diolah dengan Structural Equation Modelling (SEM) – Partial Least Square (PLS). Berdasarkan hasil analisis dan pembahasan dapat disimpulkan bahwa kualitas pelayanan berpengaruh positif terhadap kepuasan mahasiswa dan mempengaruhi secara positif terhadap produktivitas perguruan tinggi.

Teks Lengkap:

PDF

Referensi

Abdullah, F. (2006). Measuring service quality in higher education: HEdPERF versus SERVPERF. Journal Marketing Intelligence & Planning, 24(1), 31–47

Badan Pusat Statistik. (2018). Jumlah Perguruan Tinggi di Jawa Barat. Jakarta Pusta : Badan Pusat Statistik

Chalis F., dan Hasibuan, S. (2017). Identifikasi Tingkat Kualitas Pelayanan Jasa Pendidikan dengan Menggunakan ServQual. Spektrum Industri, 15(1), 19–26.

Effendi, S. (2003). Pengelolaan Perguruan Tinggi Menghadapi Tantangan Global. Makasar: Seminar Nasional Majelis Rektor Indonesia.

Ghozali, I. (2014). Structural Equation Modeling: Metode alternatif dengan Partial Least Square(PLS). Semarang: Badan Penerbit Universitas Diponegoro.

Kamus Lengkap Bahasa Indonesia. (2006). Retrieved from kbbi.kemdikbud.go.id/entri/religius.

Maulidyah, S. dan S. I. (2006). Analisis Beberapa Faktor yang Berpengaruh pada Kepuasan Pengguna Perpustakaan. Jurnal Perpustakaan Pertanian

Muafi, dan Yuni S. (2007). Anteseden Ekuitas Merek Perguruan Tinggi: SEM dengan Pendekatan Two Step. Jurnal Manajemen Usahawan Indonesia, 3 (36), 27-34

Munawaroh, M. (2005). Analisis Pengaruh Kualitas Jasa Terhadap Kepuasan Pada Industri Pendidikan di Yogyakarta. Jurnal Siasat Bisnis 5(2), 119-134

Parasuraman, A., Zeithaml, V.A., Dan Berry, L.L. (1988), Theory of The Gaps Model In Service Marketing “The Marketting Association of Australia and New Zealand”

Razaq, A. R. (2014). Interaksi Pembelajaran Efektif untuk Berprestasi. Jurnal PILAR, 2(2), 122–136.

Relawan N., dan Rahareng V.N. (2017). The Influence of The Academic Service Quality Toward Student Satisfaction. Jurnal AdBispreneur, 2(2), 125-133

Riset, K. (2016). Panduan Pengguna Aplikasi Pengukuran Produktivitas Perguruan Tinggi. Jakarta: Kementerian Riset dan Pengembangan Sistem Informasi.

Sugandini, D. (1999). Assessing the Teaching Quality to Student Satisfaction Relationship: Applied Customer Satisfaction Research in The Classroom. Journal of Marketing Theory and Practice, Summer, 3(7), 87– 96.

Sugandini, D. (2003). Anteseden Loyalitas Konsumen pada Industri Perhotelan (Studi Pada Hotel Berbintang di Daerah Istimewa Yogyakarta Oleh : produk atau pelayanan ( Bhote , 1996 ). Konsumen semacam itu tidak hanya mem. Journal WAHANA, 6(2), 181–200.

Sutino dan Sumarno. (2005). Pengaruh Kualitas Produk (Jasa) dan Kualitas Pelayanan terhadap Kepuasan dan Loyalitas Konsumen di PT. POS Indonesia Semarang. Majalah Ilmiah Kopertis VI, 46, 9–20.

Suwandaru A., Fikri S., dan Wahyu W., (2016). Pengaruh Kualitas Pelayanan Terhadap Kepuasan dan Loyalitas Mahasiswa. Jurnal Bisnis dan Manajemen. 3(1), 120-134

Mokhar, S.S., Maiyaki A.A., dan Mohd Noor Nbt. (2011). The relationship between service quality and satisfaction on customer loyalty in Malaysian Mobile Communication Industry. Journal School of Doctoral Studies (European Union), 3(1), 32-38

Increased Productivity of Injection Molding with Analysis of Overall Equipment Effectiveness (OEE)

Penulis Daniel Agung, Fransisca Debora, Humiras Hardi Purba
Publisher International Journal of Research in Engineering, Science and Management
Nomor ISSN 2581-5792

Sari

The productivity of a product is important for every company. There are 5 injection molds with the highest available production hours in April – July. OEE approach are used to measure productivity of the injection mold. Mold SLDX has lowest OEE values, with an average value of 76.6% . Based on measurement OEE, performance rate has lowest rate, with 81.8% rather than other approaches. Performance rate of injection molding affected by cavity efficiency and cycle time performance. Cavity efficiency become root cause that decrease performance rate of mold SLDX, with average cavity efficiency is 84.13% from April- July. Based on 5 whys, wrong sequence on the mold become root cause of problem that cause low cavity efficiency.. Improvement is done by modify sequence of the mold and add detent puller as safety system of the mold to prevent wrong sequence of the mold. There are increasing values of cavity efficiency after modification of mold design from 84.13% to 99.23% from August – September. Increasing cavity efficiency also increase performance rate of mold SLDX from 81,8% to 98.2% from August- September. Increasing performance rate also increase OEE value of mold SLDX from 76.6% to 94.33% from August- September.

Teks Lengkap:

PDF

Referensi

A. L. Tucker, The impact of operational failures on hospital nurses and their patiens, Journal of Operation Management, 22(2), 2004, 151-169

S. Rajalingam, P. Vasant, Optimization of Injection Molding Process Parameters by Response Surface Method, Journal of Information Technology & Software Engineering, 6(2), 2016.

S. R. Vijayakumar, and S. Gajendran, Improvement of overall equipment effectiveness (OEE) in injection moulding process industry, Journal of Mechanical and Civil Engineering, 2014, 47-60.

R. M. Khan, and G. Acharya, Plastic Injection Molding and Process and Its Aspects for Quality: A Review, 3(4), 2016, 66-70.

F.O.D Araujo, and F.P. Castro, Proposal for OEE (Overall Equipment Effectiveness) indicator deployment in a beverage plant, Journal of Operation and Production Management, 9(1), 71-84.

S. Dutta, A.K. Dutta, A review on the experimental study of overall equipment effectiveness of various machine and its improvement strategies throught TPM implementation, International Journal of Engineering Trends and Technology, 34 (4), 2016, 223-232.

E. Rimawan, A. P. B. Irawan, Analysis of Calculation Overall Equipment Effectiveness (OEE) in the Implementation of Total Productive Maintenance (TPM) PC 200-8 Excator Grab and Magnet Type Case Study in Cakratunggal Steel Mills Company, 8(1), 2017, 1363-1368

E. Irhirane, A. Bounit, and B. Dakkak, Estimate of OEE (Overall Equipment Effectiveness Objective form Classical OEE, International Journal of Performability Engineering, 13(2), 2017, 135-142.

M. Singh, and M.S. Narwal, Measurement of Overall Equipment Effectiveness (OEE) of a Manufacturing Industry: An Effective Lean Tool, International Journal of Recent Trends in Engineering & Research, 3(5), 2017, 268-275.

N. Ayane, and M. Gudadhe, Review study on improvement of overall equipment effectiveness in construction equipment, International Journal of Engineering Development and Research, 3(20), 2015, 487-490.

Approach Suggested by the Japan Institute of Plant Maintenance

G. Jucan, Root cause analysis for IT incidents investigation, 2005.

S. J. Benjamin, M. S. Marathamuthu, and U. Muragaiah., The use of 5 Whys technique to eliminate OEE’s speed loss in a manufacturing firm, Journal Quality Maintenance Engineering, 21, 2015, 419-435.

F. Chandler, Using Root Cause Analysis to Understand failures and accident, Washington DC, 2004.

D. Okes, Improve your root cause analysis, Journal Manufacturing Engineering, 134 (2), 2005, 171-178.

S. Sahu, L. Patidar, and P. K. Soni, 5S transfusion to overall equipment effectiveness (OEE) for enhancing manufacturing productivity, International Research Journal of Engineering and Technology, 2(7), 2015, 1121-1126.