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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Pertanian Indonesia Jurnal Ilmiah Teknik Industri International Journal of Artificial Intelligence Research Jurnal Sistem dan Manajemen Industri Journal of Industrial Engineering Management JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal INTECH Teknik Industri Universitas Serang Raya Jurnal Logistik Indonesia Jurnal Teknik Industri Terintegrasi (JUTIN) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Indonesian Journal of Industrial Engineering & Management Jurnal Sains Indonesia Go-Integratif : Jurnal Teknik Sistem dan Industri Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Jurnal Pengabdian Masyarakat Bhinneka The Journal Of English Teaching For Young And Adult Learners Indonesian Research Journal on Education Jurnal Keilmuan dan Aplikasi Teknologi Industri
Sesar Husen Santosa
College Of Vocational Studies, IPB University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary Other

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Journal : Jurnal Sains Indonesia

 1 
Karakteristik dan Tingkat Kecukupan Energi Pasien Penyakit Infeksi dan Degeneratif yang Dirawat Inap di Rumah Sakit Annisa Rizkiriani; Rina Martini; Sesar Husen Santosa; Ridwan Siskandar
Jurnal Sains Indonesia Vol 2 No 2 (2021): Volume 2, Nomor 2, 2021 (Juli)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v2i2.46

Abstract

The patient's energy adequacy level can reduce morbidity and mortality, as well as accelerate the healing process and reduce the length of time hospitalized for patients. The purpose of this study was to determine the characteristics and level of energy adequacy of patients with infectious and degenerative diseases who were hospitalized at the hospital. The design of this study was coss sectional. The number of samples was 30 hospitalized patients whose consumption was observed for 3 days. samples were selected purposively in hospitals in Bogor and Jakarta. Statistical analysis using Mann Whitney test, pearson correlation regression, and stepwise regression using Microsoft Excel and Minitab. The results showed that there was a relationship between age, nutritional status, blood pressure, and body temperature with the type of disease. More than one-third of the patient's energy adequacy level was in the severe deficit category. The determinant factors for the type of disease are age and the level of energy adequacy.
Pengaruh Harga Jual Terhadap Permintaan Telur Ayam Menggunakan Pendekatan Regresi Studi Kasus: Agen Telur ABC Husen Santosa, Sesar; Prayudha Hidayat, Agung; Siskandar, Ridwan; Rizkiriani, Annisa
Jurnal Sains Indonesia Vol 2 No 3 (2021): Volume 2, Nomor 3, 2021 (November)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v2i3.60

Abstract

ABC Egg Agents ability to develop its business activities cannot be separated from the purchasing power of consumers to buy eggs of the appropriate quality and quantity. In the business of selling chicken eggs, the factors that can increase profit are eggs' selling price. One of the reasons for fluctuating sales conditions at egg agents is the selling price is too high, resulting in a decline in sales. The results of hypothesis testing show the acceptance of Hypothesis one, which offers a relationship between the selling price and the demand for eggs. Increasing selling prices can affect the market because the value of determination (R2) is above 80%, which is 91.7% which describes a solid negative relationship. This condition shows that if the price increases, the demand will decrease. This condition indicates that the Egg Agent must manage the selling price properly to increase the demand.
PENENTUAN RUTE KENDARAAN MENGGUNAKAN SAVING MATRIX TERHADAP JASA PENGIRIMAN BARANG Prayuda Hidayat, Agung; Husen Santosa, Sesar; Siskandar, Ridwan
Jurnal Sains Indonesia Vol 2 No 3 (2021): Volume 2, Nomor 3, 2021 (November)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v2i3.61

Abstract

Distribusi barang pada suatu kendaraan memiliki peranan penting terhadap layanan pada aktivitas logistik. Kombinasi set rute kendaraan terhadap jalur distribusi menjadi hal prioritas. Metode saving matrix dapat menyelesaikan perosalan terhadap penentuan rute yang optimal terhadap kapasitas suatu kendaraan. Hasil Penelitian menunjukkan terdapat 2 rute optimal yang digunakan untuk 2 jenis kendaraan terhadap proses distribusi. Rute pertama mengahasilkan jarak optimal sebesar 9,3 km dan rute kedua menghasilkan jarak optimal sebsesar 13,1 km.
Analisis Permintaan Telur Ayam Menggunakan Metode Peramalan Kuantitaif, Studi Kasus : Agen Telur ABC Santosa, Sesar Husen Santosa; Prayudha Hidayat, Agung; Siskandar, Ridwan
Jurnal Sains Indonesia Vol 3 No 1 (2022): Volume 3, Nomor 1, 2022 (Maret)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v3i1.76

Abstract

Chicken eggs are a source of food with animal protein content consumed by the people of Indonesia. The availability of chicken eggs in the city of Bogor is inseparable from the ability of ABC Egg Agents to distribute products to end consumers. One of the main factors in managing the chicken egg business is the ability to identify the number of consumer requests by ABC Egg Agents. One of the demand management is done with the right forecasting technique. Based on the results of data trend analysis, it is found that the type of demand data is time series so that the method can be used to forecast demand. Based on the comparison of the value of the level of accuracy (error), the Moving Average method with N = 3 has Mean Absolute Deviation (MAD) = 552,74 and Mean Absolute Percentage Error (MAPE) = 0,14. The results of the analysis of the level of accuracy, the method chosen is the Moving Average with the results of forecasting the demand for January 2021 of 3640 crates.
PENGARUH VOLUME KIRIMAN BARANG TERHADAP JUMLAH KENDARAAN STUDI KASUS: PERUSAHAAN JASA PENGIRIMAN BARANG Prayudha Hidayat, Agung; Husen Santosa, Sesar; Siskandar, Ridwan
Jurnal Sains Indonesia Vol. 3 No. 1 (2022): Volume 3, Nomor 1, 2022 (Maret)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v3i1.77

Abstract

Penentuan jumlah kendaraan memiliki peranan yang sangat penting dalam kelancaran pengiriman barang. Strategi optimalisasi yang efektif terhadap pengalokasian jumlah kendaraan dengan memperhatikan kapasitas yang diangkut oleh kendaraan dengan menggunakan metode kuantitatif Penelitian ini menggunakan pendekatan statistik dengan menggunakan uji regresi linier, uji hipotesis (Uji F), dan uji determinasi dan korelasi. Hasil penelitian menunjukkan bahwa terdapat hubungan antara volume kiriman dengan jumlah kendaraan. volume kiriman barang berpengaruh terhadap variabel jumlah kendaraan sebesar 31,4%.
PERAMALAN HARGA JUAL CABAI MERAH DI PASAR RAKYAT KEMANG PERUSAHAAN UMUM DAERAH PASAR TOHAGA KABUPATEN BOGOR Dardanella, Derry; Prayudha Hidayat, Agung; Husen Santosa, Sesar; Siskandar, Ridwan
Jurnal Sains Indonesia Vol. 3 No. 1 (2022): Volume 3, Nomor 1, 2022 (Maret)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v3i1.79

Abstract

Cabai merah merupakan salah satu komoditas pertanian yang sering mengalami fluktuasi harga jual baik ditingkat petani maupun konsumen. Fluktuasi harga ini dianggap menjadi salah satu penyebab terjadinya inflasi di Indonesia. Penelitian ini bertujuan untuk meramalkan harga jual cabai merah di tingkat konsumen berdasarkan data penjualan cabai merah di Pasar Rakyat Kemang Perumda Pasar Tohaga Kabupaten Bogor. Pada penelitian dilakukan perbandingan dua metode peramalan kuantitatif yaitu Moving Average dan Exponential Smoothing. Hasil penelitian menunjukan bahwa metode Exponential Smoothing memiliki hasil lebih baik, dimana nilai ukuran kesalahan MAD, MAE, dan MAPE memiliki nilai yang lebih kecil dibandingkan Moving Average sehingga harga jual cabai merah di periode Januari 2022 diperkirakan sebesar Rp. 27.579,-
ANALISIS KEBUTUHAN DISTRIBUSI BARANG DENGAN MENGGUNAKAN PENDEKATAN SIMULASI MONTE CARLO Hidayat, Agung Prayudha; Husen Santosa, Sesar; Siskandar, Ridwan; Aziz Husyairi, Khoirul
Jurnal Sains Indonesia Vol. 3 No. 3 (2022): Volume 3, Nomor 3, 2022 (November)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v3i3.108

Abstract

The key to the success of the distribution of goods by connecting the internal supply chain with consumers where the internal supply chain refers to orders. The purpose of this study is to develop a model for the number of goods distribution needs in a freight forwarding company with a Goods simulation approach. The results showed that the average number of goods distribution needs was 231,444 bags. This is a reference for freight forwarding companies in sending goods related to the number of transportation modes and shipping routes
Penjadwalan Produksi Optimal Air Mineral Kemasan Gelas Menggunakan Pendekatan jadwal Induk Produksi Santosa, Sesar Husen; Indrawan, Purana; Apriliani, Fany; Siskandar, Ridwan; Nabil Bayyinah, Aulia; Septiyaningsih, Lutfi
Jurnal Sains Indonesia Vol. 4 No. 3 (2023): Vol 4 No 3 (2023): Volume 3, Nomor 3, 2023 (November)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v4i3.169

Abstract

The Stock buildup problem has led to an increase in product rejects at PT Marina. This condition is caused because the company cannot identify fluctuating demand conditions and only focuses on Customer Orders. Based on this problem, an analysis was carried out regarding demand using the Multiplicative decomposition forecasting technique. The company has three seasons in the demand for glass bottled water products. Based on the demand forecasting analysis results, the demand regression model is demand (y) = 153052 + 139.88 period (x). Based on the regression results, the demand forecast results are 159,819 boxes. The results of production schedules are based on the results of demand forecasting, so the Stock condition in the company is obtained, namely 3430 - 4760 boxes/week, and this condition is the optimal condition because it is below the maximum product inventory capacity in the company.
Co-Authors Agung Prayudha Hidayat Aldiyansyah Aleida, Silvera Marsya Anamy, Fathia Marcha Ananda, Dea Angga Eben Ezer Annisa Kartinawati Antonio Banggas Gregory Sinaga Apristio Faza Ridhar Rahman Aqim Try Kurnia Ardani, Ilham Azka Khairani Marisda Bachtiar, Willy Barokah, Wuliddah Tamsil Bayu Suriaatmaja Suwanda Bayu Suriaatmaja Suwanda Bayyinah, Aulia Nabil Billi Rifa Kusumah Bintang Aprilio Dardanella, Derry Derry Dardanella Divo Wibowo Adi Doni Yusri Fany Apriliani Faqihhudin, Muhammad Raka Fauzan Naufal Gibran Fionando Emir Satriadana Firman Muhammad Basar Ghailan Arhab Hafiz Agi Alfasih Hendri Wijaya, Hendri Herti Herti Heryudianto Vibowo Husyairi, Khoirul Aziz Iklima Istiqomah Ilham Ardani Indrawan, Purana Insani, Mutiara Fitria Irfan Tigranaufal Nugraha Irmansyah Irmansyah Irzaman, Irzaman Jimmy Mohamad Alpino Anak Gumay Keinanjung Ruswandi Laily Rochmatul Charky Lutfi Aziz Febrika Ardy Madyananda, Fauzaan Fadhlurrohman Marithasari, Harries Mohammad Akbar Alfa Dirk Steyer Muhamad Raihan Afarel Nadji Baraba Muhamad Zikri Abdillah Muhammad Al-Ghifari Muhammad Danang Mukti Darmawan Muhammad Danang Mukti Darmawan Muhammad Fakhri Alauddin Muhammad Habiburrahman, Muhammad Muhammad Ifan Al Aziz Nabil Bayyinah, Aulia Nalanaya, Nalanaya Nanda Octavia Nanda Octavia Nayla Cahya Kamila Nerol, Ivan De Noer A Indrawan Nourma Ayuadika Novia Rahmawati Pane, Nelson Andreas Pangestu, Fattah Jati Prayuda Hidayat, Agung Purnomo, Hanif Putri, Stevani Rafiq Rizki Prabowo Refiansyah Nur Renny Soelistiyowati Revanda Arifia Ridwan Siskandar Rina Martini Ringga Gilang Baskoro Rizkiriani, Annisa Robby Priaji Sakti Samsudin, Discania Martiani Savanah, Khadijah Meutia Septiyaningsih, Lutfi Sinaga, Antonya Rumondang Sista Naelly Adzimi Siti Aisyah Suhendar Sulaeman Suhendi Irawan Sulaeman, Suhendar Susanti, Raskia Suwanda, Bayu Suriaatmaja Tiara Safitrah Vina Puspitasari Wiyanto, Renhard Cornelis Wiyoto Wiyoto Zahran, Fadhil Rizqi Az Zahrani, Firda Alifathuz Zaki Rafi Athallah