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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Pertanian Indonesia Journal of Engineering and Management in Industrial System 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 JURNAL TEKNIK INDUSTRI The Journal Of English Teaching For Young And Adult Learners Indonesian Research Journal on Education AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Journal of Applied Science, Technology & Humanities
Sesar Husen Santosa
College Of Vocational Studies, IPB University
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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.
Peramalan Permintaan Sepatu Sandal pada UMKM Mulyaharja Kota Bogor Irawan, Suhendi; Sinaga, Antonya Rumondang; Kartinawati, Annisa; Hidayat, Agung Prayudha; Dardanella, Derry; Santosa, Sesar Husen; Indrawan, Purana; Apriliani, Fany; Yusri, Doni; Wijaya, Hendri; Pangestu, Fattah Jati; Rahmawati, Novia
Go-Integratif : Jurnal Teknik Sistem dan Industri Vol 5 No 02 (2024): Go-Integratif : Jurnal Teknik Sistem dan Industri
Publisher : Engineering Faculty at Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/gijtsi.v5i02.12534

Abstract

MSMEs are one of the important sectors to support economic growth. In the midst of increasingly tight competition, business actors need to implement effective strategies to anticipate fluctuations in market demand so that accurate demand forecasting is a crucial step to ensure optimal stock availability. Currently, MSMEs only make predictions based on instinct and experience, not based on mathematical calculations, so that sometimes there is overstock or understock of the goods produced. This study analyzes the demand for sandals and shoes at MSME Mulyaharja, Bogor City using the moving average and exponential smoothing methods. The purpose of this study is to determine the most accurate forecasting method to optimize inventory management and minimize the risk of shortages or excess stock. Historical sales data for one year is used as the basis for the analysis. The results of the comparative analysis of forecasting errors show that the Moving average method with 2 periods provides the most accurate results, with a Mean Absolute Deviation (MAD) value of 54, Mean Squared Error (MSE) of 3380, and Mean Absolute Percentage Error (MAPE) of 18%. The conclusion of this study is that the 2-period Moving average method is the best method to be applied to Mulyaharja UMKM, by applying this forecasting method, overstock and understock of product inventory can be reduced because the amount of production produced is close to the amount of customer demand.
MILLED CASSAVA PRODUCTION CAPACITY MODEL THROUGH MACHINE EFFECTIVENESS ANALYSIS Santosa, Sesar Husen
Journal of Industrial Engineering Management Vol 9, No 3 (2024): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i3.1502

Abstract

The very high demand for the tapioca flour industry causes good quality and quantity tapioca flour. This condition causes the tapioca flour SMIs have to manage production activities to meet the needs of the industry. The flour production process cannot be separated from the cassava milling machine effectiveness. Based on the results of the milling machine analysis for one year, the availability = 65,16%, performance = 53.62%, Quality Rate = 89.60% and OEE = 31.88%. Based on the OEE value and the amount of production, the regression equation model is obtained, namely ground cassava (Kg) = 5155 + 11037 OEE with Determination value (R2) = 94,8 %. This regression model is used as the basis for determining the ideal production capacity of ground cassava in SMIs. According to Seiichi Nakajima's standard ideal OEE, which is 85%, the ideal production capacity of ground cassava in SMIs is 14,536 kg/month based on the regression model. 
Use of Databases to Manage Sales Results Data at the KDH Sancang Coffee Shop Agung Prayudha Hidayat Hidayat; Apristio Faza Ridhar Rahman; Azka Khairani Marisda; Ghailan Arhab; Nayla Cahya Kamila; Rafiq Rizki Prabowo; Sesar Husen Santosa
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 1 (2024): January 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/hx4h5d16

Abstract

Technological advances allow entrepreneurs to manage sales data efficiently. Governance management in micro, small and medium enterprises is often an obstacle to the continuity and development of the business. Based on interviews conducted, at KDH Sancang Coffee Shop, data management still uses Microsoft Excel, which sometimes makes it difficult for users to access the desired data. This research recommends using Microsoft Access to create a secure and organized sales database. This solution helps overcome data duplication problems and improve data accessibility and security. Based on the research results, the process of creating a database for sales results includes the creation of item and sales data tables, one to one relationship, Query total sales results, and Form Design for easy data access. This research activity aims to enable micro, small, and medium-sized enterprises to effectively organize their financial records, including providing owners with the necessary tools to manage their business finances more efficiently. The results showed that the use of Microsoft Access increased the efficiency of managing monthly sales data at KDH Sancang Coffee Shop which is expected to facilitate monthly sales evaluation activities at the coffee shop.
Mamdani's Fuzzy Logic-Based Tapioca Optimal Production Amount Prediction System Tiara Safitrah; Divo Wibowo Adi; Irfan Tigranaufal Nugraha; Antonio Banggas Gregory Sinaga; Zaki Rafi Athallah; Mohammad Akbar Alfa Dirk Steyer; Sesar Husen Santosa; Muhammad Danang Mukti Darmawan; Nanda Octavia
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 3 (2024): June 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/ws0haa49

Abstract

This research focuses on the imbalance between supply and demand in the tapioca industry, especially on the scale of Small and Medium Industries (SMI). Such challenges involve price fluctuations and lack of efficiency in determining the optimal production amount. Using fuzzy logic as an artificial intelligence method, this research aims to develop a system for predicting the optimal amount of tapioca production that can increase efficiency, reduce waste of raw materials and energy, and stabilize prices. The data used in this study was obtained through interviews with resource persons who are involved in the field of tapioca SMI. Furthermore, the data was processed using the Mamdani Fuzzy Inference System method. The results showed that in the case of production when demand is 400 kg and cassava availability is 2000 kg, the optimal production amount of tapioca is 630 kg. This value is also consistent when proven using the Matlab R2015a application. This shows that the model can be relied upon in determining the decision on the amount of tapioca production by considering demand factors and raw material availability.
Implementation of Fuzzy Logic to Determine the Doneness of Beef Steak Sista Naelly Adzimi; Robby Priaji Sakti; Aldiyansyah; Muhammad Ifan Al Aziz; Muhammad Fakhri Alauddin; Jimmy Mohamad Alpino Anak Gumay; Sesar Husen Santosa; Muhammad Danang Mukti Darmawan; Nanda Octavia
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/93z2df58

Abstract

This study aims to implement fuzzy logic in determining the doneness level of beef steak based on the inputs of roasting time and roasting temperature. The output of the developed system is in the form of maturity levels in the categories of "rare", "medium rare", "medium", "medium well", and "well done". Data for this study were obtained through interviews with experienced beef steak sellers. This research method includes direct calculations as well as the use of MATLAB software to develop fuzzy logic systems. The results of the interview analysis are used as a basis for the formation of fuzzy rules for determining the degree of doneness of steaks. The results showed that in the example case with a roasting temperature of 300°C and a roasting time of 10 minutes, the resulting output value was 70, which placed the doneness of the steak in the "medium well" position. These results have been verified both through direct calculations and the use of MATLAB software. The study concluded that the implementation of fuzzy logic can help in determining the doneness level of beef steak, based on temperature variations and roasting time. 
Fuzzyfication Optimization of Crude Cassava Starch Processing into Tapioca Flour with the Mamdani Approach Bintang Aprilio; Fionando Emir Satriadana; Muhamad Raihan Afarel Nadji Baraba; Nourma Ayuadika; Refiansyah Nur; Sesar Husen Santosa; Muhammad Danang Mukti Darmawan; Nanda Octavia
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/d1kss748

Abstract

The purpose of this research is to improve the effectiveness of tapioca flour production by using a fuzzy logic system. The system accepts three variables, namely raw materials, color, and aroma, and produces an output in the form of a percentage of the quality of tapioca flour produced. Fuzzy rules are created based on expert knowledge and experimental data after the input data is converted into fuzzy values. MATLAB software is used to implement the fuzzy system. Furthermore, the simulation results were analyzed to find the best conditions for producing tapioca flour with high quality. The results show that the fuzzy system successfully produces an output that reflects the quality percentage of tapioca flour. However, to gain a more complete understanding, it is necessary to further analyze the components that affect production quality, and there may be better ways to customize the fuzzy rules.
Implementation of Fuzzy Logic Mamdani in Determining Employee Job Appraisal of PT Exclusive Panca Anugerah Using Matlab Lutfi Aziz Febrika Ardy; Aqim Try Kurnia; Keinanjung Ruswandi; Muhammad Al-Ghifari; Muhamad Zikri Abdillah; Vina Puspitasari; Muhammad Danang Mukti Darmawan; Nanda Octavia; Sesar Husen Santosa
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/bqt5bb31

Abstract

Human resources are one of the important components of a company. With good employee performance, it can be interpreted that the system in the company is also running well. This method utilizes attendance and performance variables to assess the employee. This journal aims to see and monitor how an employee's performance in a company is working optimally or not. It uses the implementation of fuzzy logic Mamdani as a proof model, coupled with the Matlab application toolbox that allows evaluation and assessment of performance according to the existing scenario. The results of this experiment show the effectiveness of providing accurate scores and can also help management to make more informed decisions
Co-Authors Agung Prayudha Hidayat Aldiyansyah Aleida, Silvera Marsya 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 Fattah Jati Pangestu Fauzan Naufal Gibran Fionando Emir Satriadana Firman Muhammad Basar Frea Marva Zerlinda Ghailan Arhab Hafiz Agi Alfasih Hendri Wijaya, Hendri Herti Herti Heryudianto Vibowo Hidayat, Agung Prayudha Hidayat Husyairi, Khoirul Aziz Iklima Istiqomah Ilham Ardani Indrawan, Purana 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 Pamungkas, Genta Yoga Pane, Nelson Andreas Pangestu, Fattah Jati Prayuda Hidayat, Agung Putri, Stevani Rafiq Rizki Prabowo Refiansyah Nur Renny Soelistiyowati Revanda Arifia Ridwan Siskandar Rina Martini Ringga Gilang Baskoro Rizkiriani, Annisa Robby Priaji Sakti Savanah, Khadijah Meutia Septiyaningsih, Lutfi Sinaga, Antonya Rumondang Siskandar, Ridwan Siskandar 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 Zaki Rafi Athallah