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All Journal JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Sinergi Proceeding Mercu Buana Conference on Industrial Engineering Journal of Information System, Technology and Engineering
Alfa Firdaus
Universitas Mercu Buana
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Transportation

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APLIKASI SOFT SYSTEM METHODOLOGY (SSM) UNTUK PERENCANAAN TERINTEGRASI BIOFUEL DALAM SEKTOR PERTANIAN DAN SEKTOR ENERGI Alfa Firdaus; M Syamsul Maarif
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 9, No 1 (2015): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.96 KB)

Abstract

Biofuel sebagai substitusi potensial dari BBM belum dimanfaatkan secara maksimal. Untuk itu, diperlukan desain ulang dari strategi pengembangan biofuel yang komprehensif mencakup sektor energi yang merupakan output dari produk dan sektor pertanian yang merupakan sumber inputnya. Secara keseluruhan, terdapat tiga pendekatan yang berbeda untuk memodelkan biofuel, yaitu pendekatan dari sisi ekonomi dengan model Computable General Equilibrium (CGE), lalu pendekatan dari sisi pertanian dengan model Partial Equilibrium (PE), dan pendekatan dari sisi energi dengan model Long-range Energy Alternatives Planning (LEAP). Tujuan utama makalah ini adalah untuk memperoleh gambaran permasalahan atas situasi yang terjadi dalam perencanaan kebijakan biofuel mempertimbangkan penggunaan ketiga pendekatan diatas. Dengan menggunakan Soft System Methodology (SSM), pada makalah ini telah dibangun suatu model konseptual yang menggambarkan hubungan aktivitas antar komponen yang berkait. Melalui penerapan langkah-langkah SSM telah disusun rencana tindakan yang akan dilakukan, yaitu perencanaan terintegrasi dengan LEAP yang telah dimodifikasi untuk mengakomodir sektor pertanian dan sektor energi.Kata Kunci: LEAP, Biofuel, Soft System Methodology 
PENGARUH PERSEPSI KUALITAS TERHADAP KEINGINAN MEMBELI PRODUK OTOMOTIF DI ERA PANDEMI COVID-19 DENGAN PROMOSI DAN BRAND IMAGE SEBAGAI VARIABEL MODERATING Muhammad Ibrahim Ats-Tsauri; Muhammad Syahri Nur Afif; Yulizan Rizki; Alfa Firdaus
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 16, No 1 (2022): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.703 KB) | DOI: 10.22441/pasti.2022.v16i1.006

Abstract

Pandemi COVID-19 telah memberikan dampak besar pada penjualan produk otomotif. Kontribusi industri manufaktur mobil terhadap PDB pada 2020 tercatat mengalami penurunan sebesar 14,10% atau setara Rp 23,7 triliun. Hal ini karena penjualan mobil mengalami penurunan 48.4%. Penelitian ini bertujuan untuk mengetahui pengaruh persepsi kualitas terhadap keinginan membeli produk otomotif di era pandemi COVID-19 dengan promosi dan brand image sebagai variabel moderating. Variabel yang dipilih adalah persepsi kualitas produk dan keinginan membeli, dengan promosi dan brand image sebagai variabel moderating. Uji statistik dan pengolahan data dilakukan dengan metoda SEM-PLS pada software SmartPLS 3.0, disertai dengan bootstrapping. Temuan penelitian menunjukan bahwa: (1) Persepsi kualitas berpengaruh secara moderat terhadap promosi; (2) Persepsi kualitas berpengaruh secara moderat terhadap keinginan membeli; (3) Persepsi kualitas tidak berpengaruh terhadap brand image; (4) Promosi berpengaruh secara moderat terhadap brand image; (5) Promosi tidak memiliki pengaruh terhadap keinginan membeli; dan (6) Brand image berpengaruh secara moderat terhadap keinginan membeli.
ENERGY AUDIT ANALYSIS BY BUSINESS INTELLIGENCE APPLICATION Alfa firdaus; Uly Amrina
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 10, No 3 (2016): Jurnal PASTI
Publisher : Universitas Mercu Buana

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Abstract

ABSTRACTEnergy audit is one of the first tasks to be performed in the accomplishment of an effective energy cost control program. To obtain the best information for a successful energy audit, the auditor must make some measurements during the audit visit. One of the tools that primarily used in audit visit is the portable Power Quality Analyzers (PQA) for measuring single to three-phase lines with a high degree of precision and accuracy. It is utilized for monitoring and recording power supply anomalies. For most survey applications, changing currents makes it mandatory for data to be compiled over a period of time with enormous amount of electricity data. Hence, this paper proposed a Business Intelligence approach that can facilitate the auditor to quickly analyze the PQA data. There are five Key Performance Indicators (KPI) to be displayed for analyze in form of dashboard. The method that uses to construct the dashboard is classification and association rules with the help of orange dataminer tools. Classification method is utilized to display the data distributions by frequency on a bar chart. Once we got the frequent sets, they allow us to extract association rules among the item sets, where we make some statement about how likely are two sets of items to co-occur or to conditionally occur. The result of this paper is a dashboard of five scorecards, namely unbalanced voltage, unbalanced currents, voltage harmonic, currents harmonic, and power factor.  Keywords: PQA Data, Classification, Association Rules, Dashboard 
PERKEMBANGAN BIODIESEL DI INDONESIA TINJAUAN ATAS KONDISI SAAT INI, TEKNOLOGI PRODUKSI & ANALISIS PROSPEKTIF Murtiningrum Murtiningrum; Alfa Firdaus
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 9, No 1 (2015): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2633.018 KB)

Abstract

Biofuel sebagai energi terbarukan yang berpotensi untuk menggantikan peran bahan bakar minyak (BBM) belum dimanfaatkan secara maksimal di Indonesia. Pemerintah Indonesia ingin memenuhi suplai biodiesel dari industri nasional dengan penerapan mandatori penggunaan biodiesel, namun target mandatori belum terpenuhi karena pasar biofuel dalam negeri belum menarik minat pengusaha.Celah antara kapasitas produksi dengan capaian produksi masih sekitar 25% atau 1,11 juta kilo liter. Hal ini direspon oleh pemerintah dengan menerapkan CPO Fund untuk  mendorong produksi bahan bakar nabati biodiesel.Menyikapi berbagai kebijakan yang telah dikeluarkan oleh pemerintah, diperlukan ulasan mengenai kondisi terkini dari sektor biodiesel dengan tujuan untuk mendapatkan gambaran yang komprehensif dari sektor biodiesel dengan mengulas kondisi saat ini, perkembangan teknologi produksi, dan analisis prospektif.Hasil dari analisis prospektif didapatkan bahwa arah pengembangan biodiesel harus dimulai dari teknologi produksi biodiesel untuk mencapai peningkatan hasil produksi dengan biaya yang murah Karenanya, pada makalah ini kami mengusulkan teknologi produksi biodiesel in situ transesterifikasi yang akan memberikan peluang teknologi yang lebih ekonomis dibandingkan teknologi produksi esterifikasi-transesterifikasi konvensional.Kata kunci: biodiesel, analisis prospektif, transesterifikasi in situ
CREATING THE STANDARD FOR SPECIFIC ENERGY CONSUMPTION AT PALM OIL INDUSTRY Alfa Firdaus; M Syamsul Ma’arif
SINERGI Vol 20, No 1 (2016)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.8 KB) | DOI: 10.22441/sinergi.2016.1.002

Abstract

There is currently no standard for the Specific Energy Consumption (SEC) in the palm oil industry. SEC is a value that can be used as an indicator to measure the optimization level in the use of energy. Indonesia as one of the largest palm oil producing countries requires a standard for energy intensity in the palm oil industry. SEC in palm oil mill is defined in the amount of energy per unit of production (kWh/kg). The classifying method that has been used in this study is K-means cluster analysis with the measurement samples in 14 palm oil mills for 12 months of period. This study has suggested the SEC standard for Indonesian palm oil industry and it is expected to be SEC reference for other studies in the palm oil industry.
IMPACT OF BIODIESEL AGROINDUSTRY ON THE ACHIEVEMENT OF NATIONAL ENERGY SECURITY Alfa Firdaus; Machfud Machfud; Ani Suryani; Noer Azam Achsani
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (524.724 KB) | DOI: 10.22441/sinergi.2020.2.009

Abstract

The National Energy General Plan (RUEN) has set 11.6 million kiloliters of biodiesel production target in 2025. The determination of biodiesel production targets in RUEN is part of the objectives mandated in the National Energy Policy (KEN), which is to achieve energy security and independence. Therefore, this study aims to analyze the impact of biodiesel agroindustry on the achievement of national energy security in 2025. The simulation conducted in this study uses Long-range Energy Alternatives Planning (LEAP) software, which based on the accounting model. The model has run on Business as Usual (BAU) scenario, using four dimensions and 12 indicators of energy security in the context of biodiesel agroindustry. Model simulation results show a decreasing energy security trend in the period of 2022-2025, while the biodiesel production target, which was set at RUEN, cannot be achieved in 2025. This is mainly related to availability and affordability, which experienced a decline in the period. Further research needs to be done on the strategy of developing biodiesel agroindustry by considering scenarios of increasing production capacity and productivity as well as its impact on national energy security.
THE SELECTION OF PRODUCTIVITY KEY PERFORMANCE INDICATORS FOR CAR MANUFACTURING COMPANIES USING INTEGRATED PERFORMANCE MEASUREMENT SYSTEM Uly Amrina; Alfa Firdaus
SINERGI Vol 22, No 2 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.131 KB) | DOI: 10.22441/sinergi.2018.2.005

Abstract

The increase in car market 17% in 2020, and ASEAN Free Trade policy only 5% for imported products, cause tightened competition in the automotive market. Car manufacturing companies face problems in selecting their performance indicators related to competitive challenges. The purpose of this research is to develop productivity key performance indicators in car manufacturing that conform to stakeholder requirements as a strategy to win the market. The conditions are manifested in a mapping of manufacturing symbols using the Integrated Performance Measurement System (IPMS) method. That manufacturing productivity indicators will become the focus of the top management to be controlled. There are four stages to go through, starting with the identification of stakeholder requirement, which produces six criteria and 12 stakeholder requirements and mapped into 16 goals and 24 key performance indicator (KPI). The second stage is benchmarking, and preparation of KPI hierarchy and the third stage is the description of each KPI in the form of KPI specification table. The fourth stage is the weighting of the six main criteria that result in 3 priority criteria which must be reported monthly between the manufacturing division (painting), finance and administration. Those are employee safety, manufacturing process effectiveness (painting) and waste elimination activities. The priority is obtained based on questionnaires answered by ten stakeholders (experts) processed with Analytical Hierarchy Process (AHP) approach and has been tested consistency in the number 0.09. These three criteria are described in 15 KPIs: performance rate, availability rate, quality rate, trained operator ratio, training value ratio> 80, delay ratio, attendance ratio, downtime losses, setup and adjustment losses, idle time, defect losses, yield losses, manpower efficiency, environmental impact and work accident ratio. 
ENERGY AUDIT ANALYSIS BY BUSINESS INTELLIGENCE APPLICATION Alfa Firdaus; Uly Amrina
SINERGI Vol 19, No 3 (2015)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.04 KB) | DOI: 10.22441/sinergi.2015.3.002

Abstract

Energy audit is one of the first tasks to be performed in the accomplishment of an effective energy cost control program. To obtain the best information for a successful energy audit, the auditor must make some measurements during the audit visit. One of the tools that primarily used in audit visit is the portable Power Quality Analyzers (PQA) for measuring single to three-phase lines with a high degree of precision and accuracy. It is utilized for monitoring and recording power supply anomalies. For most survey applications, changing currents makes it mandatory for data to be compiled over a period of time with enormous amount of electricity data. Hence, this paper proposed a Business Intelligence approach that can facilitate the auditor to quickly analyze the PQA data. There are five Key Performance Indicators (KPI) to be displayed for analyze in form of dashboard. The method that uses to construct the dashboard is classification and association rules with the help of orange dataminer tools. Classification method is utilized to display the data distributions by frequency on a bar chart. Once we got the frequent sets, they allow us to extract association rules among the item sets, where we make some statement about how likely are two sets of items to co-occur or to conditionally occur. The result of this paper is a dashboard of five scorecards, namely unbalanced voltage, unbalanced currents, voltage harmonic, currents harmonic, and power factor. 
ANALISA PERANCANGAN TATA LETAK LANTAI PRODUKSI DIVISI WELDING UNTUK MENINGKATKAN KAPASITAS PRODUKSI DI PT. XX Alfa Firdaus; Dedy Pratama
SINERGI Vol 17, No 3 (2013)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.599 KB)

Abstract

Tata letak fasilitas produksi merupakan salah satu elemen dasar yang penting dalam sebuah perancangan stasiun kerja. Tata letak fasilitas produksi perlu dirancang dengan baik, agar aliran produksi dapat berjalan dengan efektif dan efisien. PT. XX merupakan perusahaan dengan produksi sesuai dengan permintaan pasar atau konsumen, yang memproduksi alat-alat kesehatan terutama incubator bayi. Penelitian ini dilaksanakan berdasarkan adanya indikasi di PT. XX yang memiliki tata letak lantai produksi pada divisi welding yang dirasa kurang efektif dengan  pola aliran yang tidak beraturan sehingga perlu adanya usaha untuk mengatur tata letak menjadi lebih baik yaitu dengan menentukan kebutuhan jumlah mesin, peralatan dan tenaga kerja yang lebih efisien dari jumlah sebelumnya dan Memberikan usulan rancangan tata letak lantai produksi divisi welding yang lebih efektif. Hasil penelitian ini adalah perancangan layout baru dengan menggunakan metode routing sheet yang menghasilkan jumlah mesin dan operator yang lebih efisien yang dapat meningkatkan kapasitas produksi. Dari hasil penelitian didapatkan hasil bahwa pada layout yang baru, terjadi pengurangan jumlah mesin sebesar 5 unit, operator sebesar 4 orang dan meningkatnya  kapasitas  produksi  sebesar  28  unit  produk  /  tahun  (  11  %  ).  Dan  terjadi penurunan ongkos material handling yang dikeluarkan oleh perusahaan per produk yaitu sebesar Rp 2.862,81.
Evaluating DRP Implementation for 3 KG LPG Distribution Efficiency Firdaus, Alfa; Kholil, Muhammad; Riadi, Selamat; Hidayat, Atep Afia; Almahdy, Indra
Journal of Information System, Technology and Engineering Vol. 3 No. 3 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i3.186

Abstract

This study evaluates the effectiveness of Distribution Requirements Planning (DRP) integrated with ARIMA time series forecasting to support delivery scheduling decisions and the determination of minimum inventory levels. As a representative case study, a 60-month sales series of Ultra-Pure Water was used to simulate fluctuating retail demand across the agent–depot network. The Augmented Dickey–Fuller test confirmed stationarity (p = 0.0142), allowing candidate ARIMA (p, 0, q) models to be evaluated using ACF/PACF and information criteria. The best model was ARIMA (1,0,1), which had the lowest Akaike Information Criterion and passed diagnostic tests (normal residuals, no autocorrelation, no heteroscedasticity), making it suitable for operational forecasting. Projection results indicated a stable demand pattern and yielded a safety stock threshold of 733.24 units/month (equivalent to 24.44 units/day) as a reference for inventory control. These findings demonstrate that the DRP–ARIMA integration can enhance supply reliability and distribution efficiency, particularly for subsidized goods such as 3 kg LPG, with practical implications for determining adaptive inventory levels, delivery routes and frequency, and upstream–downstream coordination. Theoretically, this study provides additional empirical evidence on the use of quantitative forecasting models to operationalize DRP in the energy sector, while also providing a foundation for replication in other critical commodities.
Co-Authors - Murtiningrum Ani Suryani Ani Suryani Atep Afia Hidayat Dedy Pratama Dedy Pratama Erliza Noor Indra Almahdy, Indra M Syamsul Maarif M Syamsul Ma’arif M. Syamsul Maarif Ma’arif, M Syamsul Machfud Machfud Machfud Machfud Muhammad Ibrahim Ats-Tsauri Muhammad Kholil Muhammad Syahri Nur Afif Murtiningrum Murtiningrum Riza, M. Selamat Riadi Syarif Hidayat Uly Amrina Yulizan Rizki