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All Journal Jurnal Transformatika JAST JURTI Jurnal Teknik Industri Technema: Journal of Intelligent Engineering and Computing
Andre Sugiyono
Universitas Islam Sultan Agung
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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PRODUCTION PLANNING RAMBAK CRACKER TO MEET DEMAND AT UMKM DWI JAYA KENDAL Dicky Hendra Saputra; Andre Sugiyono; Brav Deva Bernardhi
Journal of Applied Science and Technology Vol 1, No 01 (2021): Januari 2021
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jast.1.01.6-11

Abstract

UMKM Dwi jaya merupakan suatu perusahaan kerupuk rambak yang terletak di Jl. Kyai Guru Sulaiman, Pegandon, Kabupaten Kendal, Jawa Tengah 51357. UMKM Dwi Jaya membuat dua produk yaitu kerupuk rambak sapi dan kerupuk rambak kerbau. Di UMKM Dwi jaya sendiri menggunakan sistem make to stock yaitu membuat suatu produk akhir untuk disimpan dan kebutuhan konsumen akan diambil dari persediaan di gudang. Tingkat persediaan tergantung pada waktu respon permintaan pelanggan dan tingkat vabilitas permintaan.Perusahaan tersebut memiliki sebuah masalah yaitu jumlah permintaan yang dihasilkan lebih banyak dari jumlah produksi yang ada sehingga menyebabkan kerupuk rambak tersebut mengalami kekurangan, Tindakan yang dapat dilakukan untuk mengatasi permasalahan tersebut yaitu membuat rencana produksi agar dapat memenuhi permintaan tepat waktu, tepat jumlah dengan biaya minimum yaitu dengan melakukan peramalan produksi dengan menggunakan Exponential smoothing kemudian dilanjutkan dengan menggunakan perencaaan agregat dengan menggunakan metode heuristik dan penjadwalan  produksi menggunakan Master Production Schedule (MPS) sesuai dengan metode heuristik yang terpilih, Setelah itu MPS  akan diverifikasi dengan menggunakan menggunakan Rough Cut Capacity Planning (RCCP) agar bisa mengetahui layak tidaknya jadwal dari MPS tersebut. Lalu dilakukan rekomendasi perbaikan untuk mengurangi biaya produksi, biaya simpan dan biaya tenaga kerja dengan menggunakan metode-metode yang tepat.Dari hasil penelitian, forecasting dengan menggunakan metode Exponential smoothing dan metode moving average menghasilkan peramalan terbaik total permintaan untuk kerupuk rambak sapi sebesar 88625 gram dan untuk kerupuk rambak kerbau sebesar 89390,52 gram, pada Aggregate Planning dengan menggunakan metode heuristik didapatkan hasil dengan solusi terbaik adalah solusi pengendalian persediaan (level strategy) total biaya terendah sebesar Rp. 0. (MPS) sesuai dengan solusi terbaik pada Aggregate Planning dan sesuai dengan kapasitas mesin dan pekerja yang telah di verifikasi menggunakan Rough Cut Capacity Planning (RCCP)
MARKETING STRATEGY ANALYSIS USING THE METHOD SWOT AND QSPM IN INDUSTRIAL SCREEN PRINTING INDUSTRIES Septiyan Adi Saputro; eli Mas'idah; Andre Sugiyono
Journal of Applied Science and Technology Vol 1, No 01 (2021): Januari 2021
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jast.1.01.12-21

Abstract

Omah Sablon is a company engaged in screen printing. As a company engaged in screen printing, Omah Sablon must be more creative in designing and deciding business missions and marketing strategies that will be applied in the field to be able to anticipate various kinds of changes that will occur. Companies can continue to compete and move in the direction of consumer desires, because basically the company's function is to produce goods and services that can be accepted by consumers as well as to meet consumer desires. The number of sales that have not been stable causes the profits obtained by the company to not reach the target as desired by the company. That is because the production or ordering process from omah screen printing consumers occurs seasonally. Therefore it is necessary to analyze the marketing strategy to increase sales results. In the analysis of marketing strategies Omah Sablon is carried out using the Strength Weakness Opportunity Threats (SWOT) and Quantitative Strategic Planning Matrix (QSPM) methods. The first step is filling out internal and external factor questionnaires which are then analyzed using the Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) matrices, with values of IFE 2.69 and EFE 2.31, which are entered into the Grand Strategy matrix and known to the company located in quadrant I (has a perfect strategic position). Furthermore SWOT analysis to produce alternative strategies. Then from the Grand Strategy matrix analysis can draw conclusions to use the most interesting strategy to be analyzed using QSPM. Then from the results of the QSPM matrix it can be concluded that the most appropriate marketing strategy used by Omah Sablon to increase sales is Procurement of QC systems in the production process as a guarantor of product quality, Carrying out marketing programs with canvassing systems and also online systems in downtown Ungaran and providing fast service. and easy and add product variants.
Analisis Beban Kerja Mental Operator Mesin Cetak Web dengan Target Pekerjaan Menggunakan Metode National Aeronautics and Space Administartion Task Load Index dan Rating Scale Mental Effort di PT. Bawen Mediatama Nevin Bryan Aranda; Andre Sugiyono; Akhmad Syakhroni
Journal of Applied Science and Technology Vol 1, No 02 (2021): Juli 2021
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jast.1.02.38-48

Abstract

PT. Bawen Mediatama merupakan salah satu perusahaan manufaktur dibidang percetakan dibawah Kompas Gramedia Group yang berlokasi di Bawen, Jawa Tengah. Dengan bertambahnya order cetakan dalam proses produksi berlanjut, para operator mengalami kelelahan sebelum melakukan pekerjaan utamanya untuk memproduksi koran kompas beserta cetakan lainnya. Sebelum melakukan pekerjaan utama, operator perlu mengerjakan perkerjaan post press dahulu yang berkaitan dengan menghitung produk, mengontrol hasil, dan jumlah target hasil yang didapatkan. Dengan banyaknya pekerjaan yang dialami para operator dan jumlah operator yang sedikit menyebabkan target menjadi tidak tercapai. Meskipun pekerjaan secara fisik tidak begitu berat karena mesin bersifat semi-otomatis, namun karena pekerjaan yang dilakukan sangat banyak dan target yang seringkali tidak tercapai, hal tersebut membuat para operator mengalami beban kerja mental. Untuk mengatasi hal tersebut, diperlukan penelitian terkait analisis beban kerja. Penelitian ini menggunakan metode NASA-Tlx serta RSME dengan menyebarkan kuesioner yang berisikan indikator beban kerja mental kepada para operator. Hasil penelitian menunjukkan indikator beban kerja mental metode NASA-TLX yang dominan yaitu kebutuhan mental sebesar 21%, lalu diikuti oleh usaha fisik dan mental sebesar 17%, kebutuhan fisik, kebutuhan waktu, performansi sebesar 16% dan tingkat stress sebesar 15%. Sedangkan variabel usaha beban kerja mental pada metode RSME yang besar dilakukan operator mesin cetak web yaitu beban kerja, performansi kerja, dan usaha mental kerja sebesar 18%, diikuti kelelahan kerja sebesar 17%, kesulitan kerja sebesar 15% dan kelelahan kerja sebesar 13%. Usulan perbaikan yang diberikan yaitu sistem peningkatan semangat kerja pada para operator, pembagian operator jika ada pekerjaan post press, melakukan upaya penambahan karyawan pada operator mesin cetak web agar mampu mengurangi beban kerja mental pada operator mesin cetak web, pemberian alat bantu kerja untuk mempermudahkan operator dalam bekerja, serta menciptakan suasana kerja yang nyaman yang diharapkan operator tidak merasa bosan, menaikkan performansi kerja dan menumbuhkan rasa solidaritas antara operator. Kata Kunci : Beban  Kerja Mental, NASA-TLX, RSME, Indikator, Operator Mesin Cetak Web
Analisis Pengukuran Beban Kerja Dan Jumlah Tenaga Kerja Dengan Metode Work Load Analysis (WLA) Galih Candra Mukti; Andre Sugiyono; Wwiek Fatmawati
Jurnal Teknik Industri Vol 1, No 1 (2022)
Publisher : Fakultas Teknologi Industri, UNISSULA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.408 KB) | DOI: 10.30659/jurti.1.1.41-49

Abstract

Penelitian dilakukan pada erusahaan garam yang terletak di Desa Purworejo Kecamatan Kaliori Kabupaten Rembang. Perusahaan ini membuat produk dari bahan baku sampai produk jadi yang terdiri dari dua produk yaitu garam briket dan garam halus. Dari 2 mesin cetak garam yang dimiliki, saat ini capaian maksimal hanya mampu memproduksi garam briket sebanyak 2767 pcs/hari atau setara dengan 11068 pcs/minggu dengan kemampuan produksi 2 mesin cetak garam sebanyak 3500 - 4000 pcs/hari. Mesin yang digunakan masih sederhana dan memerlukan beberapa pekerja untuk mengoperasikan 1 mesin. Pada pengoprasian mesin terdapat pekerja yang harus melakukan pekerjaan ganda, dan ini sangat mengurangi fokus pada pekerjaan utamanya sehingga terdapat beberapa garam yang rusak saat di cetak. Permasalahan itu dapat diatasi dengan melakukan perhitungan kebutuhan pekerja berdasarkan beban kerja dengan menggunakan metode Workload Analysis (WLA) dengan memperhatikan aspek penyesuaian performa ratting dan allowance, lalu dilakukan rekomendasi biaya produksi. Dari hasil penelitian, metode Workload Analysis (WLA) pada pengukuran kebutuhan tenaga kerja di setiap stasiun kerja terjadi perubahan jumlah tenaga kerja pada proses iodasi 2 pekerja dengan beban kerja awal 107% dengan perhitungan Workload Analysis 2,14 maka kebutuhan pekerja pada proses penyelepan menjadi 3 orang beban kerja menjadi 71%. Pada proses pencetakan 5 pekerja dengan beban kerja awal 102% dengan perhitungan Workload Analysis 5,11 maka kebutuhan pekerja pada proses penyelepan menjadi 6 orang beban kerja menjadi 85%, usulan biaya produksi dengan capaian jumlah produksi 16.464 pcs/minggu maka keuntungan yang di dapat akan naik 43% menjadi Rp.6.076.200,00 yang awalnya Rp 4.247.889,00. 
Quality Control Analysis of 20s Polyester Yarn on Winding Machines With Statistical Quality Control (SQC) and Failure Mode and Effect Analysis (FMEA) Methods (Case Study : PT. Kabana Textile Industries) Riska Maulida; Andre Sugiyono
Journal of Applied Science and Technology Vol 3, No 01 (2023): Januari 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jast.3.01.%p

Abstract

PT. Kabana Textile Industries is a textile company which is located at Jl. Raya Pait KM. 10 Pekalongan, Central Java. The problem that occurs is that in January to September 2021 for the quality of the 20s polyester yarn roll on this winding machine there are a number of defects that exceed the standard limit of 5%, which is 5.28%. So it is necessary to control the quality of the 20s polyester yarn roll on the winding machine. Statistical Quality Control (SQC) method is used to identify the most dominant type of defect and the root cause of the problem. While the Failure Mode and Effect Analysis (FMEA) method is used to identify failures that can occur and get suggestions for improvement. The most dominant types of defects are Stitch defects of 44.67% and Swelled Packages of 36.07%. It is known that the highest RPN value for Stitch defects is 245 due to machine factors, namely the inappropriate/varied tension is overcome with a good tension set (8-12% for single thread strength and 15% for double thread). Meanwhile, Swelled Package defects caused by machine factors, namely low voltage, can be overcome by replacing bobbins that are not slack. This improvement proposal was implemented in November 2021 and the number of defects decreased to 4.53%, the stitch defect type was 43.97% and the swelled package was 29.36%, which means it is already below the disability limit and the RPN value is 140.
Analysis of Customer Satisfaction and Priorities for Improving the Marketing Mix Using the Importance-Performance Analysis (IPA) Method and Potential Gain in Customer Value at Clauza Carwash Gita Aubreza Safitri; Andre Sugiyono
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Competition in the vehicle-washing service industry requires businesses to continuously improve service quality to meet customer expectations. Clauza Carwash faces several customer concerns related to its marketing-mix attributes, which may affect customer retention and business competitiveness. This study aims to analyze the importance and performance of marketing-mix attributes and determine improvement priorities using the Importance-Performance Analysis (IPA) and Potential Gain in Customer Value (PGCV) methods. A quantitative approach was employed involving 100 respondents who completed a questionnaire covering 32 attributes based on the 7P marketing mix. Customer perceptions of service performance were assessed by comparing the importance and actual performance of each attribute. The IPA results identified 11 attributes as the main improvement priorities, particularly those related to product quality, price competitiveness, location visibility, employee performance, and service processes. The PGCV analysis further indicated that employee skills represented the highest improvement priority, with a PGCV value of 7.30, followed by price competitiveness, location visibility, material quality, and vehicle-shine performance. These findings indicate that the integration of IPA and PGCV can provide an objective basis for prioritizing service improvements according to customer perceptions. The results can support Clauza Carwash in developing targeted strategies to improve service quality, customer satisfaction, and competitive performance
Analysis of Maintenance for The Model 317 Tray Unloader Using The Preventive Maintenance Method at PT. Madukoro Engineering Muhammad Rizal Jurdan; Andre Sugiyono; Muslih Aditiya; Fuad khoironi; Moh Ferdi Hasan
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study analyzes the implementation of preventive maintenance on the Model 317 Tray Unloader at PT. Madukoro Engineering, Semarang. The machine performs an essential material transfer function by moving cigarettes from trays toward the packaging process, making equipment reliability important for production continuity. A qualitative descriptive method was applied through direct observation, interviews with the Head of the Primary Division and electrical technicians, and examination of internal maintenance documents. The analysis focused on maintenance schedules, machine components, recurring failures, maintenance practices, and operational problems. The results indicate that preventive maintenance is implemented through daily, weekly, monthly, and annual activities involving inspection, cleaning, lubrication, electrical checking, and component replacement. Several problems were identified, including sensor malfunction caused by cigarette dust, gripper obstruction due to inadequate lubrication, excessive conveyor motor temperature, and tray frame deformation caused by improper loading. Maintenance effectiveness is also constrained by inconsistent documentation, delayed spare-part availability, and limited technical resources. Improvements are recommended through digital maintenance records, routine technical training, critical spare-part control, sensor monitoring, and stronger operational supervision to reduce unexpected downtime and improve machine reliability.
Pengelompokkan Data Akademik Menggunakan Algoritma K-Means Pada Data Akademik Unissula Dedy Kurniadi; Andre Sugiyono
Jurnal Transformatika Vol. 18 No. 1 (2020): July 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i1.2277

Abstract

A Higher education in the digital era as it is now common to use IT technology (Information Technology) in supporting their daily activities, but the use of IT raises a problem that is serious enough if there is no support and no further management this is only produce a data noise , Sultan Agung Islamic University (Unissula) has implemented an IT-based academic information system, in use of this information systems by time this systems produce a lot of data in the unissula academic database and this data is monotonous data and not clustered or also called data noise data that overlap without any benefit and information further in it, the purpose of this study is to solve the problem of these data into student performance data based on the GPA from semester 1 to semester 4 and make it to be a best data to support an alternative decision by the leader, this study uses the method of datamining and k-means algorithms, k-means algorithm is very good to be used as a solution for problems related to clustering, k-means algorithm is an algorithm that is unsupervised and the data can be adjusted by its self according to its class, the results of this study are a decision support system for grouping academic data in the form of dashboard information systems.
Model Integer Programming untuk penugasan pekerjaan dengan waktu kedatangan dan keberangkatan yang berbeda Andre Sugiyono; Dedy Kurniadi
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.5911

Abstract

Penelitian  ini membahas masalah alokasi peti kemas ke lokasi galangan terminal kapal dimana peti kemas memiliki waktu kedatangan dan keberangkatan yang berbeda untuk meminimalkan total biaya penanganan peti kemas. Diasumsikan bahwa jika lokasi galangan yang dipilih lebih dekat ke titik dimana peti kemas diturunkan dari kapal, biaya keseluruhan akan berkurang. Masalah ini dapat didefinisikan sebagai masalah alokasi mesin pekerjaan di mana biaya pemrosesan pekerjaan pada setiap mesin berbeda tetapi tidak tergantung pada waktu pemrosesan dan pekerjaan yang tidak dapat diakhiri memiliki waktu kedatangan dan keberangkatan yang berbeda. Masalah ini dirumuskan dalam solusi eksak sebagai model pemrograman integer campuran. Hasil komputasi menunjukkan bahwa heuristik ketiga yang diusulkan efisien dalam memecahkan masalah lokasi dalam biaya yang berbeda, jumlah pekerjaan, dan waktu komputasi.
Co-Authors Akhmad Syakhroni Ari Novanto Brav Deva Bernardhi Dedy Kurniadi Dicky Hendra Saputra Eli Mas'idah Eli Mas’idah Fuad khoironi Galih Candra Mukti Gita Aubreza Safitri Moh Ferdi Hasan Muhammad Rizal Jurdan Muslih Aditiya Nevin Bryan Aranda Riska Maulida Septiyan Adi Saputro Wwiek Fatmawati