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ANALISIS KAPASITAS MESIN PRODUKSI DENGAN METODE ROUGHT CUT CAPACITY PLANNING (RCCP) PRODUKSI PUPUK ZA I DI PT. PETROKIMIA GRESIK RAMADHAN, SYAIFUL
Jurnal Teknik Mesin Vol 4, No 01 (2015): JTM : Volume 04 Nomor 01 Tahun 2015
Publisher : Jurnal Teknik Mesin

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Abstrak Pada saat ini hampir semua jenis perusahaan yang bergerak dalam bidang industri dihadapkan pada suatu masalah yaitu persaingan yang semakin kompetitif. Perencanaan kapasitas merupakan hal yang penting dalam menejemen industri. Analisis kapasitas menggunkan metode Rought Cut Capacity Planning (RCCP). Dengan menggunakan 3 metode peramalan Regresi Linier, Single Exponensial Smoothing, dan Doubel Exponensial Smoothing. Dari peramalan dengan 3 metode tadi dipilih metode Regresi Linier, dengan alasan metode ini mempunyai nilai MAPE terkecil dibandingkan dengan metode lain. Dengan hasil peramalan sebagai berikut januari – desember 2016 sebanyak 15400, 17575, 18181, 19162, 19678, 19880, 20839, 20676, 23852, 21798, 22516, dan 24386 ton. Kapasitas tersedia januari – desember 2016 Satulator 606.88 jam, Centrifuge Separator 607.24 jam, Rotary Dryer 634.88 jam, Screw Conveyor 587.24 jam dan Bucket Elevator 601.53 jam. Dan kapasitas yang diperlukan Januari - Desember 2016 Satulator 675.60 jam, Centrifuge Separator 657.80 jam, Rotary Dryer 690.80 jam, Screw Conveyor 623.00 jam dan Bucket Elevator 646.80 jam. Dari hasil tersebut lamgkah – langkah yang perlu diambil adalah dengan penambahan kapasitas produksi disetiap work station kerja untuk memenuhi permintaan pada periode tahun 2016.   Kata kunci : Kapasitas Mesin Produksi, Rought Cut Capacity Planning (RCCP)

THE EFFECT OF SUPPLY CHAIN MANAGEMENT (SCM) AND DECISION SUPPORT SYSTEM (DSS) WARSHIP SPARE PARTS ON OPERATION READINESS NAVAL FLEET COMMAND II ramadhan, syaiful; kuncoro, anang dwi; soemantri, asep iwa
Ekspektra : Jurnal Bisnis dan Manajemen Vol 5 No 1 (2021)
Publisher : Universitas Dr. Soetomo

The importance of maritime defense and State Diplomacy is faced with the problems that exist in Koarmada II, especially related to the maintenance of warship, especially related to the support of On Board Spare (OBS) spare parts. Problem solving solutions are needed, among others, the first is to streamline and streamline the operation degree so that it is right on target against the reemergence of potential threats to maritime defense and security, the second is to evaluate, record, record and record everything related to spare parts needs OBS warship which carries out operational tasks, and improves the professionalism of soldiers based on technology and information, as well as increasing the ability to observe and supervise up to the ability to take action against perpetrators of violations of sovereignty at sea. The research approach used is descriptive quantitative method, which examines how Supply Chain Management (SCM) and Decision Support System (DSS) using the Structural Equation Modeling-Partial Least Square (SEM-PLS) analysis approach which originates from questionnaires. Data analysis was assisted by SmartPLS 2.0 software. The research samples were soldiers who served in Koarmada II based in Surabaya. The results showed that Supply Chain Management had a significant effect on Operational Readiness. These results indicate that Supply Chain Management has a positive and significant direct effect on Operational Readiness. Decision Support System has a significant effect on Operational Readiness. These results indicate that the Decision Support System has a positive and significant direct effect on Koarmada II Operational Readiness. Supply Chain Management and Decision Support System for Warship Spare Parts do not have a positive and significant direct effect on Koarmada II Operation Readiness.

THE EFFECT OF SUPPLY CHAIN MANAGEMENT (SCM) AND DECISION SUPPORT SYSTEM (DSS) WARSHIP SPARE PARTS ON OPERATION READINESS NAVAL FLEET COMMAND II ramadhan, syaiful; kuncoro, anang dwi; soemantri, asep iwa
Ekspektra : Jurnal Bisnis dan Manajemen Vol 5 No 1 (2021)
Publisher : Universitas Dr. Soetomo

The importance of maritime defense and State Diplomacy is faced with the problems that exist in Koarmada II, especially related to the maintenance of warship, especially related to the support of On Board Spare (OBS) spare parts. Problem solving solutions are needed, among others, the first is to streamline and streamline the operation degree so that it is right on target against the reemergence of potential threats to maritime defense and security, the second is to evaluate, record, record and record everything related to spare parts needs OBS warship which carries out operational tasks, and improves the professionalism of soldiers based on technology and information, as well as increasing the ability to observe and supervise up to the ability to take action against perpetrators of violations of sovereignty at sea. The research approach used is descriptive quantitative method, which examines how Supply Chain Management (SCM) and Decision Support System (DSS) using the Structural Equation Modeling-Partial Least Square (SEM-PLS) analysis approach which originates from questionnaires. Data analysis was assisted by SmartPLS 2.0 software. The research samples were soldiers who served in Koarmada II based in Surabaya. The results showed that Supply Chain Management had a significant effect on Operational Readiness. These results indicate that Supply Chain Management has a positive and significant direct effect on Operational Readiness. Decision Support System has a significant effect on Operational Readiness. These results indicate that the Decision Support System has a positive and significant direct effect on Koarmada II Operational Readiness. Supply Chain Management and Decision Support System for Warship Spare Parts do not have a positive and significant direct effect on Koarmada II Operation Readiness.

OPTIMALISASI KEGIATAN JUMAT IBADAH UNTUK MENINGKATKAN KARAKTER RELIGIUS DI SEKOLAH: PROGRAM PENGABDIAN MAHASISWA KKN Abdullatif, Ahmad; Ramadhan, Syaiful; Karadona, Rosika Indri; Rahma, Rahma; Hasan, Nur; Masnah, Masnah; Azis, Andi Mattotoran
INOVASI: Jurnal Hasil Pengabdian Masyarakat Vol 5, No 1 (2025): INOVASI: Jurnal Hasil Pengabdian Masyarakat (Article in Press)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/inovasi.v5i1.71051

The Friday Worship Activities Optimization Program to Improve Religious Character in Schools aims to increase religious awareness and shape the character of students through a more systematic and interactive approach. This research uses the Participatory Action Research (PAR) method, which involves Real Work Lecture (KKN) students, teachers and students in the process of planning, implementing, evaluating and developing the Friday Worship program. Activities carried out include congregational dhuha prayers, dhikr, murajaah memorizing surahs, religious lectures, and daily prayers. The results of the program show an increase in student interest and participation in worship activities, a deeper understanding of religious values, as well as positive changes in attitudes in daily life. Support from schools, teachers and the community plays an important role in the success of this program. Apart from that, this program provides valuable experience for KKN students in applying the knowledge they gain at university into real practice in society. The conclusion of this research is that optimizing Friday Worship activities can be an effective means of forming students' religious character in a sustainable manner. With an approach that involves all elements of the school, this activity not only becomes routine, but also forms a religious culture in the school environment. It is hoped that this program can continue to be implemented and developed as part of a religious-based character education strategy in schools.

Penerapan Kombinasi Algoritma SVM-KNN dalam seleksi User SAKTI berdasarkan Hasil Kinerja Pegawai pada Kementerian XYZ Ramadhan, Syaiful; Kusrini, Kusrini; Kusnawi, Kusnawi
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1716

Kementerian XYZ merupakan Kementerian dengan jumlah pegawai lebih dari 5.000 pegawai. Pada saat dibentuk tidak dilakukan pemetaan pegawai, hal ini mengakibatkan surplus jumlah pegawai, tidak terkecuali pada Biro Barang Milik Negara (BMN). Bagi sebuah organisasi, SDM yang berlimpah merupakan hal yang baik, namun perlu dilakukan penyeleksian pegawai agar dapat meningkatkan produktivitas sehingga keberhasilan organisasi dapat tercapai. Disamping itu, perbaikan sistem Administrasi Keuangan pemerintahan merupakan suatu keharusan yang diimbangi dengan pengembangan aplikasi terintegrasi Kementerian Keuangan yaitu Sistem Aplikasi Keuangan Tingkat Instansi (SAKTI). Dalam melakukan pengelolaan aset pada Biro BMN, setiap pegawai memiliki role user level kewenangan SAKTI dengan lingkup yang berbeda-beda. Penelitian ini bertujuan melakukan seleksi klasifikasi user berdasarkan hasil penilaian kinerja dengan penerapan metode Kombinasi algoritma SVM dan KNN menggunakan bahasa pemrograman Python. Berdasarkan pengujian dengan sampel data sebesar Â±313 data pegawai dan 18 variabel pegawai dengan atribut target berupa kelayakan yaitu dipertahankan maupun dipertimbangkan, diperoleh hasil akurasi sebesar 94% pada Kernel SVM RBF; nilai K=5; metrik Euclidean;Â Dapat disimpulkan seleksi user aplikasi SAKTI menggunakan kombinasi algoritma SVM dan KNN dapat memberikan prediksi guna meningkatkan efektivitas dan efisiensi organisasi dalam penempatan pegawai yang sesuai dengan kompetensi pada Biro BMN Kementerian XYZ. Penelitian selanjutnya diharapkan dapat membandingkan kombinasi algoritma SVM dan KNN dengan metrik serta parameter yang lebih banyak.

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