Judul: Designing a Sewing Production System to Increase Productivity at Konveksi Bersama
Abstrak: Melihat peluang yang terbuka dari jumlah peserta didik di Jawa Barat meningkat setiap tahunnya, Konveksi Bersama ingin menangkap peluang permintaan seragam sekolah tersebut. Penelitian ini bertujuan untuk mengidentifikasi permasalahan produksi pada Konveksi Bersama, merancang sistem produksi, menentukan kebutuhan sumber daya manusia, dan fasilitas produksi yang dibutuhkan untuk menjalankan sistem. Penelitian dilakukan dengan studi kasus Konveksi Bersama dengan responden penjahit dan supervisor Konveksi Bersama dan Pemilik KM Industri. Waktu pengambilan dan pengolahan data dilakukan pada bulan Maret hingga April 2024 dengan metode design thinking, wawancara mendalam dan observasi. Pengolahan data dilakukan dengan aplikasi Simulasi Arena 14.0 sebagai alat simulasi. Berdasarkan hasil observasi didapatkan waktu rata-rata untuk mengerjakan satu potong kemeja adalah 27 menit 8,35 detik. Hasil simulasi prototipe menggunakan aplikasi Arena didapatkan produktivitas per tenaga kerja menjadi 11,45 potong per hari dari sebelumnya tujuh potong per hari. Untuk menjalankan rancangan sistem produksi tersebut dibutuhkan sumber daya manusia sebanyak 20 orang penjahit dengan fasilitas utama 18 unit mesin jahit jarum satu dan dua unit mesin obras., Due to the increasing number of students in West Java each year, Konveksi Bersama seeks to leverage the expanding demand for school uniforms. This study aims to identify production issues at Konveksi Bersama design a production system, determine human resource requirements, and identify the necessary production facilities to implement the system. The research was conducted as a case study at Konveksi Bersama, involving respondents such as tailors, supervisors from Konveksi Bersama, and the owner of KM Industri. Data collection and processing were conducted from March to April 2024 through design thinking in-depth interviews and observations. Data processing was conducted using Arena Simulation 14.0 software for simulation purposes. Observations revealed that the average time to complete one shirt was 27 minutes and 8.35 seconds. The simulation results using Arena software indicated that productivity per worker increased to 11.45 pieces per day from the previous seven pieces per day. To implement the designed production system, a workforce of twenty tailors is required, along with the main facilities comprising eighteen single-needle sewing machines and two overlock machines.
Keyword: Sumber Daya Manusia, fasilitas produksi, Permintaan seragam, simulasi arena

Judul: Perencanaan Produksi Menggunakan Fuzzy Goal Programming: Studi Kasus Produksi Jilbab pada Konveksi Rumahan
Abstrak: RAFIF SUHAIRI. Perencanaan Produksi Menggunakan Fuzzy Goal Programming: Studi Kasus Produksi Jilbab pada Konveksi Rumahan. Dibimbing oleh PRAPTO TRI SUPRIYO dan HIDAYATUL MAYYANI. Perencanaan produksi adalah salah satu strategi untuk menghadapi berbagai permasalahan dalam proses produksi. Tujuan yang ingin dicapai dalam perencanaan produksi cukup bervariasi. Seringkali tujuan-tujuan tersebut bersifat samar sehingga mengandung ketidakpastian atau fuzzy. Penelitian ini bertujuan memodelkan masalah perencanaan produksi sebagai model fuzzy goal programming (FGP). Ketidakpastian pada fungsi tujuan diselesaikan menggunakan fungsi keanggotaan fuzzy. Fungsi keanggotaan fuzzy dibangun dengan refererensi batas optimal dari masing masing fungsi tujuan dan batas toleransi yang diinginkan oleh pembuat keputusan. Model FGP diformulasikan dengan pendekatan max-min Bellman-Zadeh. Model diimplementasikan menggunakan bantuan software LINGO pada industri rumahan konveksi jilbab di Kebon Jeruk, Jakarta Barat dengan fungsi tujuan meminimumkan waktu produksi dan memaksimumkan keuntungan. Hasil implementasi menghasilkan tingkat produksi jilbab yang mengoptimalkan fungsi tujuan, yaitu meminimumkan waktu produksi dan memaksimumkan keuntungan. Minimum waktu produksi yang diperoleh 2105 menit, sedangkan maksimum keuntungan yang diperoleh yaitu Rp 3.460.295,68., RAFIF SUHAIRI. Production Planning Using Fuzzy Goal Programming: A Case Study of Hijab Production at Home Convection. Supervised by PRAPTO TRI SUPRIYO and HIDAYATUL MAYYANI. Production planning is one of the strategies to deal with various problems in the production process. The objectives to be achieved in production planning are quite varied. Often these goals are vague so they contain uncertainty or fuzzy. This study aims to model the production planning problem as a fuzzy goal programming (FGP) model. The uncertainty in the objective function is solved using a fuzzy membership function. The fuzzy membership function is built by reference to the optimal limit of each objective function and the tolerance limit desired by the decision maker. The FGP model is formulated with the Bellman-Zadeh max-min approach. The model is implemented using the LINGO software in the hijab convection home industry in Kebon Jeruk, West Jakarta with the objective function of minimizing production time and maximizing profit. The results of the implementation is the production level of the headscarf that optimizes the objective function, namely minimizing production time and maximizing profit. The minimum production time obtained is 2105 minutes, while the maximum profit obtained is Rp. 3,460,295.68.
Keyword: fuzzy, fuzzy goal programming, production planning

Judul: Posisi Filogenetik Kura-Kura Carettochelys Insculpta  (Reptillia: Testudinata)
Abstrak: Carettochelys insculpta is an endemic freshwater turtle of southern Papua and northern Australia. Phylogenetic position of this turtle is remain unresolved until now. Most of the research conducted show close relationships of C. insculpta and members of Trionychidae family. However, some of the research show distance between C. insculpta and members of Trionychidae family. This research is conducted to analyze phylogenetic relationship between C. insculpta and other members of Testudinata using 12S rRNA, 16S rRNA, and both gene as markers. DNA samples were obtained from three different organisms of C. insculpta. Two species used as outgroups were Alligator mississippiensis and Iguana iguana. Phylogenetic analysis was carried out using Neighbor-Joining method with Felsenstein 1981 (F81) modeltest. A polytomy tree of Testudinata was produced by using 12S rRNA gene. However, analysis using 16S rRNA and both genes as markers confirmed that C. insculpta was located between the Chelonidae and the Trionychidae family.
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