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Identifikasi Kecelakaan Kerja Menggunakan Metode JSA (Job Safety Analysis) di PT Kanaan Global Indonesia Sabrina Salsabila; Erna Indriastiningsih; Anita Oktaviana Trisna Devi
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 1 (2026): Januari: Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Inform
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i1.1298

Abstract

This study was conducted to analyze the causes of occupational accidents and to identify potential hazards in the material cutting process at PT Kanaan Global Indonesia using the Job Safety Analysis (JSA) approach. The high number of occupational accidents, totaling 15 cases during the period of December 2024–May 2025, indicates the existence of gaps in occupational safety control in this area. Data were collected through direct observation, interviews with workers, and the collection of historical data from the Occupational Health and Safety (OHS) unit. Risk analysis was carried out using a risk matrix to determine likelihood and severity values, followed by JSA for each work stage. The results identified 25 potential hazards, consisting of 4 risks in the extreme category, 9 in the high category, 7 in the medium category, and 5 in the low category. High-risk hazards were predominantly found in roll cutting and cutting press machines, which are characterized by mechanical hazards. Control recommendations focus on the implementation of engineering controls such as the installation of guarding systems and safety light curtains, improvements in safe work procedures, and increased discipline in the use of personal protective equipment (PPE). These findings demonstrate that the JSA method provides a comprehensive overview of risk sources and serves as an effective basis for formulating occupational accident control strategies within the company.
Analisis Peramalan Penjualan Dan Pengendalian Persediaan Bubuk Ice Cream Terhadap Pencapaian Laba Pada Toko X Rizna Nur Azizah; Erna Indriastiningsih; Yunita Primasanti
Nusantara Journal of Multidisciplinary Science Vol. 3 No. 6 (2026): NJMS - Januari 2026
Publisher : PT. Inovasi Teknologi Komputer

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Abstract

Penelitian ini bertujuan untuk menentukan metode peramalan penjualan yang paling tepat dan teknik pengendalian bubuk ice cream yang optimal guna mengurangi biaya dan meningkatkan keuntungan. Metodologi yang digunakan adalah pendekatan kuantitatif dengan membandingkan beberapa metode peramalan, yaitu Moving Average, Exponential Smoothing, Exponential Smoothing With Trend, Trend Analysis, serta penggunaan metode Economic Order Quantity (EOQ) untuk manajemen persediaan. Pengolahan data peramalan menggunakan software QM for Windows V5. Hasil penelitian menunjukkan bahwa metode peramalan terbaik untuk toko X adalah menggunkan metode Exponential Smoothing With Trend (alpha=0,9 dan beta=0,1) dengan nilai akurasi MAPE sebesar 18,28% untuk produk cone dan 16,64% untuk sundae, yang dikategorikan dalam tingkat akurasi "Baik". Analisis pengendalian persediaan menggunakan metode EOQ menghasilkan kuantitas pemesanan optimal sebesar 72,48 kg dengan frekuensi pemesanan sebanyak 29 kali per periode. Penerapan metode ini terbukti efisien karena mampu mengurangi biaya persediaan sebesar Rp 675.159,63 untuk setiap kali pesan dibandingkan dengan kebijakan toko sebelumnya. Kesimpulan dari penelitian ini adalah bahwa integrasi antara peramalan yang akurat dan pengendalian persediaan yang sistematis memberikan dampak positif yang signifikan terhadap pencapaian laba melalui efisiensi biaya operasional.
Perhitungan Reorder Point Dan Safety Stock Untuk Meminimalkan Risiko Stockout Voucher Tipe A Dan B Pada Dealer XYZ Annisa Fitri Nur Jannah; Erna Indriastiningsih; Anita Oktaviana Trisna Devi
Nusantara Journal of Multidisciplinary Science Vol. 3 No. 7 (2026): NJMS - Februari 2026
Publisher : PT. Inovasi Teknologi Komputer

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Abstract

Perusahaan mengalami stockout sebanyak 4 kali untuk voucher A dan 13 kali untuk voucher B selama periode penelitian. Kondisi tersebut menunjukkan bawa sistem persediaan yang diterapkan belum mampu mengantisipasi terjadinya fluktuasi permintaan. Penelitian ini bertujuan untuk meminimalisir risiko stockout melalui penerapan metode reorder point dan safety stock. Data yang tersedia berupa data histori pemintaan yang perlu dilakukan peramalan untuk memprediksi permintaan dimasa yang akan datang. Dengan menggunakan metode permalan single exponential smoothing (SES), pemilihan nilai alpha didasarkan pada nilai error yang relatif kecil dari perhitungan nilai weighted Absolute percentage error (WAPE) kemudian hasil peramalan tersebut digunakan sebagai dasar perhitungan reorder point dan safety stock. Penerapan metode ini diharapkan mampu meminimalisir risiko stockout yang terjadi pada dealer XYZ
Analisis Keselamatan dan Kesehatan Kerja (K3) Menggunakan Metode Job Safety Analysis (JSA) dan Hazard and Operability Study (HAZOPS) pada Departemen SDM PT. Micro Madani Institute Cabang Solo Gessa Sevic Avrilliano; Erna Indriastiningsih; Anita Oktaviana Trisna Devi
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 2 (2026): Maret: Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i2.1344

Abstract

Occupational Safety and Health (K3) is an important aspect in protecting workers from potential accidents and health problems arising from work activities, including in the administrative sector, which is often considered low-risk. However, the Human Resources (HR) Department at PT Micro Madani Institute (MMI) Solo Branch still found several potential hazards and work risks that have not been optimally identified. This study aims to apply the Hazard and Operability Study (HAZOPS) and Job Safety Analysis (JSA) methods to identify and mitigate hazards and work accident risks in the HR Department's activities at PT Micro Madani Institute (MMI) Solo Branch. The research method is a qualitative study with a descriptive approach through observation and interviews. Risk analysis used the JSA and HAZOPS methods. The results of the study show that the application of the HAZOPS method in five sections of the HR Department successfully identified 53 potential hazards and risks, consisting of 12 extreme risks, 23 high risks, 15 moderate risks, and 3 low risks with the Employee Training and Development section as the section with the largest number of risks. Meanwhile, the application of the JSA method also identified 53 potential hazards and risks from 19 work activities. The dominant risks stem from non-ergonomic work postures, prolonged sitting, intensive computer use, and high workloads. This study concludes that the JSA and HAZOPS methods are effective in identifying potential occupational hazards and risks and can serve as the basis for control efforts to minimize workplace accidents and improve OHS implementation in the HR Department.
Penerapan Metode Collaborative Planning Forecasting & Replenishment (CPFR) dalam Perencanaan Persediaan untuk Meningkatkan Kepatuhan Lead Time Supply terhadap KPI pada Studi Kasus PT XYZ Qisma Rosalina Wahda; Erna Indriastiningsih; Bekti Nugrahadi
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 2 (2026): Maret: Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i2.1345

Abstract

Ineffective spare part inventory planning may lead to supply delays and reduced compliance with lead time supply key performance indicators (KPIs). This study aims to implement the Collaborative Planning, Forecasting, and Replenishment (CPFR) method in spare part inventory planning at PT XYZ and to compare lead time supply performance before and after the implementation of the CPFR method. This research utilizes spare part usage data from January to June 2025, focusing on fast-moving spare parts. Demand forecasting is conducted using an error forecasting approach with the moving average method. Forecast accuracy is evaluated using the Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). Furthermore, inventory planning is carried out through the calculation of safety stock and reorder point (ROP) as the basis for determining replenishment decisions. The results indicate that the simulated implementation of the CPFR method provides a more structured and anticipative inventory planning process. The comparison of performance before and after the application of CPFR shows an improvement in lead time supply compliance with the established KPIs. Therefore, the CPFR method has the potential to support improved spare part inventory planning performance at PT XYZ.
Co-Authors Afif Mar'ah Iftinan Nur Firdaus Afif Mar'ah Iftinan Nur Firdaus Agung Widiyanto Agung Widiyanto Fajar Sutrisno Ahmad Khoirul Anwar Ahmad Khoirul Anwar Alvin Aprillia Alvin Aprillia Anang Novida Harinurdin Andrik Purwasito Anita Oktavia Trisna Devi Anita Oktaviana Trisna Devi anitaotd Annisa Fitri Nur Jannah Annisa Indah Mutiasari Annisa Indah Mutiasari Aqsal Faiz Al Hayy Ardyanto, Slamet Ariastuti, Reni Asri Ady Bakri Bekti Nugrahadi Bekti Nugrahadi3 Dahlan Susilo Darsini Darsini Devi, Anita Oktavia Trisna Devi, Anita Oktaviana Trisna Devi, Anita Oktaviana Trisna Dwi Wahyu Hidayat, Dwi Wahyu Dzul Arnendy Muhammad Edi Sutanto Eka Hendrayani Erwin Kartinawati Fadilah Qonitah Fajar Sutrisno, Agung Widiyanto Fauzan, Zulfahmi Fauzi, Afif Febriansyah, Mohamad Dwiky Fitriyadi, Farid Fitriyadi, Farid Fortmonty Yusmanda Putri Galih Oktavian Gessa Sevic Avrilliano Giyanti, Ida Hendy Tannady I Ketut Suada Ida Giyanti Imron Natsir, Imron Indriani, Lely Isna Nugraha Jeryco Etwan Resha Putra Karnawi Kamar, Karnawi Khamaludin, Khamaludin Kholifah, Anis Nur Kusnadi, Iwan Henri Kusumawati, Nita Machvira Laksono, Muflih Adi Lisdiyanto, Eri Litazary, Faradila Loso Judijanto M. Syaifuddin, M. Marenda Julian Wibowo Marmo, Suryatno Moh. Erkamim Muhammad Hafid Ridlo Nugroho Muhammad Syafri Muqorobin, Muqorobin Musran Munizu Mustofa As'ady Nabila, Jihan Nanding Arief Ekhsandy Nanding Arief Ekhsandy Nasyita Vivi Amalia Nelson Pardede Nelson Pardede, Nelson Nugroho, Muhammad Hafid Ridlo Nur Safina Parmini Primasanti , Yunita Primasanti, Yunita Puspandari, Adinda Qisma Rosalina Wahda Rahmawati, Nofa Dwi Retnawati Siregar Rezky Nurbakti Rizna Nur Azizah Sabrina Salsabila Sadewa, Rifky Ian Saroafifa Indriani Sekar Ayu Kartikaning Bonde Semtandi Darmawan Sihombing, Dina Agnesia Suryatno Marmo Sutomo . Tri Ngudi Wiyatno Trisna Devi, Anita Oktaviana Utami, Eva Yuniarti Vivid Violin Wahyuningsih, Dewi Hermawati Widagdo, Arisena Widiyono, Widiyono Yoga Pribadi Putra Yovani Ririsa Sitanggang Yudhi Feri Kurniawan Yunanto, Bekti Yunita Primasanti Yunita Primasanti Yunita Primasanti Zia Ulhaq