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All Journal Jurnal Optimalisasi JISO : Journal of Industrial and Systems Optimization Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Vivi Arisandhy
Program Sarjana Teknik Industri, Fakultas Teknologi dan Rekayasa Cerdas, Universitas Kristen Maranatha, Bandung, Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Transportation

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Pengukuran Kinerja Rantai Pasok Berbasis Model SCOR Menggunakan Metode OMAX-TLS di Industri Pembuatan Kemasan Produk Vivi Arisandhy; David Try Liputra; Victor Suhandi; Yonathan Yehezkiel Widjaja; Nadia Natalia Suwandi
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.13877

Abstract

Industrial development in the era of globalization is progressing very rapidly and is accompanied by increasing competition between companies. To maintain high competitiveness in meeting market needs, a company's operational performance must continue to improve. Research on measuring supply chain performance has been widely conducted. However, research using a combination of the SCOR model and the Objective Matrix (OMAX) and Traffic Light System (TLS) method is still limited. Therefore, in this study, a combination of the Supply Chain Operations Reference (SCOR) model with the OMAX-TLS methods will be used to measure the supply chain performance of a product packaging company. This study uses the SCOR model with weights from the Analytical Hierarchy Process (AHP) and then measures it with OMAX and TLS for performance evaluation in product packaging companies. Performance measurement is needed to improve supply chain performance. Data processing uses 29 performance indicators to measure supply chain performance. The results obtained are supply chain performance at 6.826, indicating Good performance. Indicators with a score below 3 are included in the Poor category. There are two performance indicators in the Poor category, twenty in the Good category, and seven in the Very Good category. Performance indicators that require significant improvement are indicators that fall into the Poor category.
Pendampingan Perancangan Prosedur dan Standardisasi Proses Produksi di Pabrik Mie Ho Kie San, Jawa Tengah Rainisa Maini Heryanto; Vivi Arisandhy; Victor Suhandi; Kartika Suhada; Santoso Santoso; David Try Liputra; Florence Leony; Rafeald Henry Ingkiriwang; Alena Augustin; Dedi Marcell Banjarnahor; Rheakova Sarita Manuela; Anthony Ray Alexander
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 6 No. 3 (2026): Mei 2026 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v6i3.1022

Abstract

Pabrik Mie Ho Kie San merupakan UMKM yang berlokasi di Desa Wlahar Kulon, Kecamatan Patikraja, Kabupaten Banyumas, Jawa Tengah. Pabrik ini memproduksi mie tradisional yang dikenal dengan nama Mie Bal atau dengan merek dagang resmi yaitu Cap Tiga Anak. Ketatnya persaingan usaha produksi mie, membuat UMKM ini harus selalu melakukan perbaikan terus menerus (continuous improvement) agar dapat mempertahankan bahkan meningkatkan produktivitas. Kegiatan pengabdian kepada masyarakat yang dilakukan pada UMKM ini merupakan kegiatan berkelanjutan yang berfokus pada seiso, seiketsu, dan shitsuke yaitu perancangan prosedur dan standardisasi. Tahapan yang dilakukan adalah konsultasi awal dengan mitra, pengumpulan data, perancangan prosedur dan standardisasi proses produksi, penyampaian hasil perancangan dan diskusi dengan mitra, serta revisi hasil perancangan sesuai masukan dalam diskusi. Hasil perancangan berupa Standard Operating Procedure (SOP). Hasil perancangan disampaikan kepada mitra secara daring dan dilakukan diskusi untuk menyempurnakannya. Dengan adanya perancangan prosedur dan standardisasi proses produksi diharapkan konsistensi kualitas produksi dapat terjaga dan terjadi peningkatan produktivitas.
PENENTUAN RUTE DISTRIBUSI BARANG BERBASIS CAPACITATED VEHICLE ROUTING PROBLEM WITH TIME WINDOWS DENGAN MENGGUNAKAN GENETIC ALGORITHM David Try Liputra; Vivi Arisandhy; Jonathan Chandra; Muhamad Bagus Tri Ananda; Felix Eventus Cahyadi
JISO : Journal of Industrial and Systems Optimization Vol. 8 No. 2 (2025): Desember 2025
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v8i2.35-46

Abstract

ABSTRAK Perencanaan transportasi merupakan salah satu aspek utama yang menentukan keberhasilan supply chain management. Salah satu kunci dalam perencanaan transportasi adalah masalah rute kendaraan atau vehicle routing problem. Penelitian sebelumnya yang membahas masalah rute kendaraan telah banyak dilakukan, Namun penelitian yang menerapkan metode genetic algorithm (GA) untuk penentuan rute kendaraan berbasis pada model capacitated vehicle routing problem with time windows (CVRPTW) dengan tujuan meminimalkan total biaya transportasi serta mempertimbangkan keseimbangan utilisasi kendaraan yang digunakan masih belum banyak dilakukan. Aspek yang dipertimbangkan pada penelitian-penelitian sebelumnya biasanya hanya waktu dan biaya. Penelitian ini menggunakan data dari penelitian Liputra dkk. (2016) yang menggunakan metode sequential insertion (SI) untuk menghasilkan solusi awal dan metode simulation annealing (SA) untuk memperbaiki dan mendapatkan solusi optimal. Dalam penelitian ini akan digunakan metode GA yang diharapkan dapat menghasilkan solusi rute distribusi barang yang lebih baik. Berdasarkan hasil penelitian, diperoleh total biaya transportasi untuk rute kendaraan 1 dan kendaraan 2 dengan menggunakan metode GA masing-masing adalah sebesar Rp37.446 dan Rp34.563. Total biaya ini lebih kecil dibandingkan pada penelitian sebelumnya, dimana total biaya transportasi untuk rute kendaraan 1 dan kendaraan 2 masing-masing adalah sebesar Rp52.980 dan Rp73.958. Selain itu, selisih waktu transportasi antara kedua kendaraan dengan menggunakan metode GA adalah 18,98 menit. ABSTRACT Transportation planning is one of the main aspects that determines the success of supply chain management. One of the keys in transportation planning is the vehicle routing problem. Previous studies that discuss vehicle routing problems have been widely conducted; however, studies that applies the genetic algorithm (GA) method to determine vehicle routes based on the capacitated vehicle routing problem with time windows (CVRPTW) model, to minimize total transportation costs, and considering the balance of vehicle utilization is still rare. Aspects considered in previous studies are usually only time and cost. This study uses data from the study of Liputra et al. (2016), which uses sequential insertion (SI) method to generate initial solutions and simulation annealing (SA) method to improve and obtain optimal solutions. In this study, the GA method will be used, which is expected to produce better distribution route solutions. Based on the research results, the total transportation costs for vehicle routes 1 and 2 using the GA method are Rp37,446 and Rp34,563, respectively. This total cost is smaller than in previous research, where the total transportation costs for vehicle routes 1 and 2 were Rp52,980 and Rp73,958, respectively. Furthermore, the difference in transportation time between the two vehicles using the GA method was 18.98 minutes.
Co-Authors Alena Augustin Anthony Ray Alexander David Try Liputra Dedi Marcell Banjarnahor Felix Eventus Cahyadi Florence Leony Jonathan Chandra Kartika Suhada Muhamad Bagus Tri Ananda Nadia Natalia Suwandi Rafeald Henry Ingkiriwang Rainisa Maini Heryanto Rheakova Sarita Manuela Santoso Santoso Victor Suhandi Yonathan Yehezkiel Widjaja