Claim Missing Document
Check
Articles

Penerapan Metode P-Median dalam Penentuan Lokasi Optimal Tempat Penampungan Sementara (TPS) Sampah di Kabupaten Klaten Aditya Isnaini Setyargo Putri; Chaidir Akbar; Edi Hartono; Yuniaristanto Yuniaristanto
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 6 No 2 (2018)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1437.65 KB) | DOI: 10.31001/tekinfo.v6i2.397

Abstract

Kabupaten Klaten yang memiliki luas wilayah 655,56 km2, terbagi menjadi 26 kecamatan, jumlah total penduduk 1.469.253 jiwa (2014) yang terbesar se-karesidenan Surakarta dan dengan tingkat kepadatan 2,241 jiwa/km2. Produksi sampah yang banyak dipengaruhi oleh jumlah penduduk. Ketika pengelolaan sampah tidak berjalan dengan baik akan menimbulkan bencana bagi wilayah sekitar. TPS resmi di Kabupaten Klaten berjumlah 161 TPS yang tersebar di 26 kecamatan. Agar pengelolaan sampah di Kabupaten Klaten bisa terkelola dengan baik, maka penentuan lokasi TPS harus tepat. Penentuan lokasi dan alokasi agar upaya pengolalan sampah di Kabupaten Klaten berjalan dengan baik dengan menggunakan metode P-Median merupakan bagian dari mixed integer liniear programming yang bertujuan untuk meminimumkan total waktu tempuh rata – rata. Hasil dari perhitungan P-Median untuk menentukan alokasi optimal pada tahun 2017 menunjukan jumlah TPS yang terpilih sebanyak 73 TPS untuk melayani 101 sumber sampah yang tersebar di Kabupaten Klaten dengan total kapasitas sebesar 675,5 m3 dan volume sumber sampah total sebanyak 440,6 m3/hari. Dengan demikian tidak terjadi penumpukan sampah di TPS.
Pemilihan Metode Peramalan Jumlah Permintaan Koran dengan Tingkat Kesalahan Terendah wahyudi sutopo; Azizah Hadny Quarrota A'yun; Hanif Ardian; Maulidina Khairannisa Nunuh; Sherlinta Immanuella; Yuniaristanto Yuniaristanto
Matrik : Jurnal Manajemen dan Teknik Industri Produksi Vol 21 No 2 (2021)
Publisher : Prodi Teknik Industri Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/matrik.v21i2.1325

Abstract

Pada era digital saat ini, banyak sekali industri yang mengalami dampak dari digitalisasi, salah satunya adalah industri surat kabar (koran). Adanya digitalisasi menyebabkan permintaan koran semakin fluktuatif dan sulit diprediksi. Hal ini juga menyebabkan tingkat retur atau pengembalian koran dari agen-agen yang cukup tinggi dan tentu saja akan memberikan kerugian yang cukup besar bagi perusahaan. Untuk itu, perlu dilakukan penentuan métode peramalan jumlah permintaan koran yang memiliki tingkat kesalahan terkecil sehingga dapat membantu perusahaan mengurangi kerugian akibat retur koran. Penelitian ini menghitung peramalan permintaan menggunakan beberapa metode antara lain trend line analysis, double exponential smoothing, dan two months moving average. Selain itu, penelitian ini juga membandingkan hasil peramalannya dengan penelitian terdahulu yang menggunakan metode ARIMA. Pemilihan metode peramalan yang terbaik dilakukan dengan membandingkan tingkat kesalahan (MAPE) dari tiap-tiap metode kemudian dipilih metode dengan tingkat kesalahan terkecil. Berdasarkan perbandingan yang dilakukan, dapat diketahui bahwa metode peramalan yang memiliki tingkat kesalahan terkecil adalah metode trend line analysis dengan nilai MAPE sebesar 2,94%. Oleh karena itu, metode peramalan yang terbaik untuk melakukan peramalan permintaan jumlah koran di Kota Surakarta adalah metode trend line analysis.
Adoption Intention Model of Electric Vehicle in Indonesia Martha Widhi Dela Utami; Yuniaristanto Yuniaristanto; Wahyudi Sutopo
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.608 KB) | DOI: 10.25077/josi.v19.n1.p70-81.2020

Abstract

Indonesia’s government was targeting the adoption of 2.1 million units of two-wheeled electric vehicles and 2,200 units of four-wheeled electric vehicles in 2025 through the Republic of Indonesia's Presidential Regulation No. 22 in 2017 about the National Energy General Plan. In 2019, the Government of Indonesia issued Presidential Regulation No. 55 in 2019 concerning the Acceleration of the Battery Electric Vehicle Program for Road Transportation. In 2018, the adoption of two-wheeled electric vehicles only reached 0.14% of the government's target for 2025. Therefore, the adoption of Electric Motorcycle (EM) technology must also consider many factors to be successful. This research develops a non-behavioral electric vehicle adoption intention model. The factors include sociodemographic, financial, technological, and macro-level. The online survey involved 1,223 respondents. Logistic regression is used to obtain the function and probability value of intention to adopt EM in Indonesia. Frequency of sharing on social media, level of environmental awareness, purchase prices, maintenance costs, maximum speed, battery charging time, availability of charging station infrastructure at work, availability of home power based- charging infrastructure, purchase incentive policies, and charging cost discount incentive policies are significantly influencing the intention to adopt electric vehicles. It also shows that the opportunity for Indonesians to adopt electric motorcycles reaches 82.90%. The realization of the adoption of electric motorcycles in Indonesia requires infrastructure readiness and costs that can be accepted by consumers. Lastly, the results of this research provide some suggestions for the government and businesses to accelerate electric motorcycle adoption in Indonesia.
Proposing Electric Motorcycle Adoption-Diffusion Model in Indonesia: A System Dynamics Approach Dwi Setyo Sulistyono; Yuniaristanto Yuniaristanto; Wahyudi Sutopo; Muhammad Hisjam
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in November 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.741 KB) | DOI: 10.25077/josi.v20.n2.p83-92.2021

Abstract

In 2019, the number of conventional vehicles in Indonesia reached 133,617,012 units, dominated by motorcycles of 112,771,136 units and passenger cars of 15,592,419 units. The high number of conventional motorcycle users can increase the number of pollutants and combustion emissions in the environment. This condition has encouraged the transition to a sustainable transport system that will be needed for decades to come, especially for the electric motorcycle to resolve the issue. This research aims to predict and estimate the market share of electric motorcycles by considering life cycle cost per kilometer. System dynamics simulations are developed to model the adoption-diffusion of electric motorcycles in Indonesia. This model has four main modules: an electric motorcycle module, a conventional motorcycle module, an economy module, and a consumer market module. This model shows a positive trend of EM market share from 2021-2030, with the market share value of EM is 0,411 in 2030. The development of retail price subsidy and electricity price scenarios is also carried out to determine the right policies to accelerate the adoption-diffusion process. Based on the scenario, the provision of retail price subsidy and a decrease in electricity price can increase the value of the EM Market Share.
PENENTUAN PRIORITAS PERSPEKTIF BALANCED SCORECARD DENGAN FUZZY ANALYTICAL HIERARCHY PROCESS SEBAGAI BAHAN PERTIMBANGAN KEPUTUSAN: DETERMINING PRIORITIES OF BALANCED SCORECARD PERSPECTIVE USING FUZZY ANALYTICAL HIERARCHY PROCESS AS A DECISION CONSIDERATION Muhammad Reza Kusuma Wardana; Nina Salsabila Sulistiani; Yuniaristanto
Jurnal Aplikasi Bisnis dan Manajemen (JABM) Vol. 6 No. 3 (2020): JABM Vol. 6 No. 3, September 2020
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.6.3.617

Abstract

Determining the priority of activities is often seen by the number of people involved in these activities. This occurs because a strategic map has not been prepared based on the priority to perform these activities. The research aims to measure performance and determine priorities from the four perspectives of the Balance Scorecard using the Fuzzy Analytical Hierarchy Process approach. This research took a case study from a newspaper company in Solo. The company's strategic goals were formulated through the Balanced Scorecard including learning and growth, customers, internal business processes and finance perspectives. The weighting of each perspective applied the Fuzzy Analytical Hierarchy Process to obtain perspective priority which can be used as a consideration for the company. The results of this research show that the customer perspective has the highest weight value compared to the other three perspectives, namely 0.611; while the learning and growth perspective has the second highest weight value, which is equal to 0.221. The internal business perspective has a weight value of 0.100, while the financial perspective has the lowest weight value of 0.069. These results show that the customer perspective is a top priority that must be prioritized by the company in designing a strategy map to achieve the company goals. Companies need to design customer-oriented strategies by understanding customer behavior patterns in the future. Keywords: Balanced Scorecard, Fuzzy Analytical Hierarchy Process (FAHP), newspaper industry, performance indicator, priority perspective
Location Routing Problem with Consideration of CO2 Emissions Cost: A Case Study Ananda Noor Sholichah; Y Yuniaristanto; I Wayan Suletra
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.918 KB) | DOI: 10.22219/JTIUMM.Vol21.No2.225-234

Abstract

Location and routing are the main critical problems investigated in a logistic. Location-Routing Problem (LRP) involves determining the location of facilities and vehicle routes to supply customer's demands. Determination of depots as distribution centers is one of the problems in LRP.  In LRP, carbon emissions need to be considered because these problems cause global warming and climate change. In this paper, a new mathematical model for LRP considering CO2 emissions minimization is proposed. This study developed a new  Mixed Integer Linear Programming (MILP)  model for LRP with time windows and considered the environmental impacts.  Finally, a case study was conducted in the province of Central Java, Indonesia. In this case study, there are three depot candidates. The study results indicated that using this method in existing conditions and constraints provides a more optimal solution than the company's actual route. A sensitivity analysis was also carried out in this case study.
Mixed-Integer Linear Programming Model for Production Planning: A Case Study at Sawn Timber Production Octavia Riskadayanti; Muhammad Hisjam; Y Yuniaristanto
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (404.669 KB) | DOI: 10.22219/JTIUMM.Vol21.No2.163-173

Abstract

The sawmill industry is an industry that processes logs into sawn timber products through several processes to maximize profits and meet customer demand. The process involves essential operations that have to be coordinated to get the desired product with the available resources optimally. Efficient operations can be achieved through optimal production planning by considering some factors to optimize the number of sawn timber product combinations. Optimal production planning is expected to have an impact, such as reducing the use of raw materials that can affect inventory and procurement. In this research, the author has developed a mathematical model for production planning to determine the optimal number of sawn timber product combinations. Problems were solved using mixed-integer linear programming methods with mathematical modeling that aimed for maximizing profit. Production costs, raw material costs, and purchasing costs were critically considered in this mathematical modeling. The result showed that using the developed model could integrate the factors above, fulfill the demand, and increase company income.
Comparing Total Cost of Ownership of Electric and Conventional Motorcycles in Indonesia Sayyidah Maulidatul Afraah; Yuniaristanto Yuniaristanto; Wahyudi Sutopo; Muhammad Hisjam
Jurnal Teknik Industri Vol. 22 No. 2 (2021): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol22.No2.196-210

Abstract

The adoption of Electric Vehicles (EV) is one of the solutions to reduce emission problems. In Indonesia, the government targets 2.1 million Electric Motorcycles (EM) ownership in 2025. One of the keys to encouraging the EV Indonesian market is vehicle cost analysis, like Total Cost of Ownership (TCO). This study developed a TCO model to compare EM with Conventional Motorcycles (CM) in Indonesia.  Data were collected from surveys and information from stakeholders. The proposed TCO model considered a battery replacement cost, which influenced the resale value of the vehicle. As a result, the TCO of EM had a more economical value than CM of 12% (IDR 3 million) on low mobility, 16% (IDR 4 million) on medium mobility, and 18% (IDR 5.5 million) on high mobility. In addition, several scenarios were also analyzed as a study to consider providing subsidies ownership motorcycles in Indonesia.
Evaluasi Layanan Taksi Menggunakan Agen Based Modeling (ABM) Silvi Istiqomah; Y Yuniaristanto; I Wayan Suletra
Jurnal Ilmiah Teknik Industri Vol. 18, No. 1, Juni 2019
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i1.7227

Abstract

Taxi services involve the number of taxi and demand. A balance is needed for operated taxi and demand, so that the number of canceled order decreases. This system involves taxi and consumers as agents with various behaviors from their agents, then solved using modeling methods. Agent-based modeling is a feasible method used in this study because it can accommodate the properties and attributes of each agent. From the scenario that has been done, the average number of good fleets to operate is 103 fleets, with the canceled order rate is 1.2% and this model proves that the number of operated taxi is sensitive to the number of requests that exist.
EVALUASI KINERJA SISTEM RANTAI PASOKAN MEJA TENIS MEJA MENGGUNAKAN METODE SUPPLY CHAIN OPERATION REFERENCE Fitri Nurul Firdaus; Yuniaristanto Y; Roni Zakaria
MIX: JURNAL ILMIAH MANAJEMEN Vol 8, No 3 (2018): MIX: Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/mix.2018.v8i3.013

Abstract

This study aims to map the process and to measure the performance of supply chain of table tennis at CV Shiamiq Terang Abadi according to SCOR®11.0 model. Furthermore, this study would give suggestion of improvement in order to improve company's performance. The SCOR®11.0 model is considered more complete, systematic and integrated because of its capability in measuring the company's performance from supplier to customer. Data collection in this study was conducted by questionnaire method to CV Shiamiq Terang Abadi which is related directly to the supply chain process. Based on SCOR®11.0 assessment, there are five KPIs that have not reached the company’s target and can be improved: POF, OFCT, USCA, TC and CCCT which has successive gap by 4%, 33 days, 24.05%, 7,38% and 9 days. There are sub-operations within the supply chain become inefficient metrics and need process improvement. The best practices of recomendations are four of the most prioritized: convergence of SCOR model with lean and six sigma, make-tostock goods receipt, ABC inventory classification, and batch size reduction
Co-Authors Aditha Capryani Aditya Isnaini Setyargo Putri Aditya Pradana Akbar, Chaidir Aldi Pascagama Nurrachman Alviandi Wahyu Nugroho Ananda Noor Sholichah Anik Septiani Anisa Agustina Anissa Rianda Putri Anita Andria Sari Anshory, Maulana Ichwan Ardy Denta Utama Ari Nugroho Astuti, Rina Wiji Atsiila, Resia Ayu Setiawati Ayusya Khoirun Nisa Azizah Aisyati Azizah Aisyati Azizah Aisyati Azizah Aisyati Azizah Hadny Quarrota A'yun Azmi Mas’ud Bambang Suhardi Bellinda Ratih Puspasari Burhanuddin Nabhan, Danu Aflah Chaidir Akbar Cucuk Nur Rosyidi Danang Miftahudin Pratama Diah Rahmanasari Diesya, Stephani Donar Setyajid Carel Dwi Indah Maryanie Dwi Setyo Sulisityono Dwi Setyo Sulistyono Dyan Parardyo S Edi Hartono Edi Hartono Edwin Fakhrul Arifin Eko Liquiddanu Enggar Wahyu Wulaningtyas Era Febriana Aqidawati Erwin Zakiyah Euis Nurlathifah Evizal Abdul Kadir Fakhrina Fahma Fakhrina Fahma Fathin Kusumo Pramesti Pudjiantoro Fauzan Azmi Febriana Kusumawardani Ferry Dimas Prakoso Fiko Erisa Fatq Fitri Nurul Firdaus Frisca Pomalia Galuh Qodrina Hamada, Aulia Hanif Ardian Hidayat, Fadhil Rafi Hisjam, Muhammad I Wayan Suletra I Wayan Suletra I Wayan Suletra Indah Kurniyati Iqbal Wahyu Saputra Irfan Hilmi Hamdani Irfan Nurdiansah Irwan Iftadi Irwan Iftadi Jeehad Muhammad Joshua Vicky Karunia Prasetyawan Levinia Dian Laraswati Levinia Dian Laraswati, Levinia Dian Lsa Aldira Hafidza M. Hisjam Mahesa Jenar Mandala, Amelia Rahma Dhani Martha Widhi Dela Utami Maulidina Khairannisa Nunuh Meidi Putri Ariyani Meidiana Faras Isnafitri Muh. Hisjam, Muh. Muhammad Abyan Naufal Muhammad Hafiz Aditya Muhammad Hisjam Muhammad Hisjam Muhammad Hisjam Muhammad Hisjam Muhammad Hisjam Muhammad Hisyam Muhammad Iqbal Sulistyo Putra Muhammad Iqbalnur Muhammad Iriandru Pradipta Muhammad Reza Kusuma Wardana Munifah Munifah, Munifah Muryastuti, Karina Naufal Ammar Niken Aristyawati Nina Salsabila Sulistiani Nino Rahadian Nuzulia Khoiriyah Octavia Riskadayanti P., Yogie Budi Pangaribuan, Evonella Poppy Nandasari Pramono, Wakit Prianjani, Dana Primadian, Romi Priyandari , Yusuf Pujiyanto, Eko Putri, Aditya Isnaini Setyargo Ramadhany A. T. Rasyid Yudhistira Ratnasari, Sintya Retno Wulan Damayanti Rina Wiji Astuti Risya Zeline Rochani, Renny Roni Zakaria Roni Zakaria R. Roni Zakaria Raung Roni Zakaria Roni Zakaria Sakinah Sakinah Sayyidah Maulidatul Afraah Sayyidah Maulidatul Afraah Sayyidah Maulidatul Afraah Selvia Mayangsari Sherlinta Immanuella Silvi Istiqomah Sofyan Arifin Sri Yohana Simanjuntak Srihono - Susy Susmartini Tasya Santi Rahmawati Tri Hariyanto Urip Sarwo Sambodo Utami Sri Sundari Veriawan, Herindra Virda Hersy Lutviana Saputri Virda Hersy Lutviana Saputri Wafiq Hasan Al Banna Wahyu Ani Maulidiyah Wahyudi Sutopo Wahyudi Sutopo Wahyudi Sutopo Wahyudi Sutopo wahyudi sutopo Wahyudi Sutopo Wahyudi Sutopo Wahyudi Sutopo Wahyudi Sutopo Wahyudi Sutopo Wahyudi Sutopo Wahyudi Sutopo Widha Windhira Wisdania Rusdianasito Wiseka, Sakti Arya Yahuda Patria Christiawan Yahuda Patria Christiawan Yonatan Ardi Hardono Yudi Hartono, Yudi Yusuf Priyandari Yusuf Priyandari Yusuf Priyandari Yusuf Priyandari Yusuf Priyandari Yusuf Priyandari Zakaria, Roni Zakaria, Roni Zakariya, Roni Zikri Haqqoni