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All Journal Al-Jabar : Jurnal Pendidikan Matematika Jurnal Manajemen Pelayanan Publik Desimal: Jurnal Matematika Sawala : Jurnal Administrasi Negara
Pandri Ferdias, Pandri
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences Transportation

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Analisis Proyeksi Target Capaian Pajak Daerah Berbasis Potensi Wilayah Maulana, Rahmat; Ferdias, Pandri; Hakim, Agus Lukman; Abidin, Zaenal; Salmande, Ali; Ali Ramdhani, Miftah Faiz; Qawi, M Robbi
Sawala : Jurnal Administrasi Negara Vol. 11 No. 1 (2023): Jurnal Sawala Administrasi Negara
Publisher : Program Studi Administrasi Negara Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/sawala.v11i1.6554

Abstract

This research is to analyze the potential of local taxes and their achievement targets in Serang Regency. The research approach used is quantitative. Data collection techniques with documentation studies using secondary data from various documents from several agencies. The analysis technique used is projection analysis with reference to macroeconomic indicators, the weight prediction of obstacles and opportunities refers to the IFAS-EFAS matrix. The results of the study show that first, the determination of tax potential and targets must be carried out scientifically referring to the juridical basis and economic indicators which refer to both national and regional economic growth and the weight of the obstacles faced in tax management based on expert judgment.
Analysis of the Basic Service Infrastructure Index in Serang Regency Hakim, Agus Lukman; Ferdias, Pandri; Maulana, Rahmat; Qawi, M. Robbi; Salmande, Ali; Firdaus, Siti Aina
Jurnal Manajemen Pelayanan Publik Vol 9, No 1 (2025): Jurnal Manajemen Pelayanan Publik
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jmpp.v9i1.49708

Abstract

This research aims to provide an overview and determine the basic service infrastructure index in Serang Regency.  The indicators used are access to housing and settlements, ground water and raw water, access to safe and secure drinking water and sanitation, safety and health, infrastructure protection from natural disasters and security. The research implementation time was two months. The data used is secondary data originating from performance reports of ministries, regional apparatus and BPS. The analysis technique used is basic service infrastructure index calculation. The research results show that there are still 30% of Serang Regency residents who do not have access to adequate housing; there are 30.31% who have access to clean drinking water; As many as 80.34% have access to proper sanitation; There are 71.47% who have access to hand washing facilities with soap. , 97.17% have stable national road conditions, and 24.54% of all villages have disaster-resistant communities. Second, the results of the Basic Services Infrastructure Index from 2019 to 2021 have increased (2019: 55.09; 2020: 56.08; and 2021: 58.92). This shows that the condition of basic service infrastructure managed by the Serang Regency Government is getting better.
ANALISIS MATERI VOLUME BENDA PUTAR PADA APLIKASI CARA KERJA PISTON DI MESIN KENDARAAN RODA DUA Ferdias, Pandri; Savitri, Eka Anis
Al-Jabar: Jurnal Pendidikan Matematika Vol 6 No 2 (2015): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v6i2.47

Abstract

Piston adalah komponen yang sangat penting bagi mesin kendaraan, baik kendaraan roda empat atau kendaraan roda dua. Piston adalah alat yang digunakan untuk membantu pergerakan mesin, piston yang digunakan adalah piston silinder. Penelitian ini hanya menganalisa cara kerja piston pada mesin kendaraan roda dua yaitu motor bensin empat langkah. Cara kerja motor bensin empat langkah yang pertama adalah langkah hisap yaitu piston bergerak dari titik mati atas (TMA) ke titik mati bawah (TMB) untuk menghisap bahan bakar (campuran bensin dan udara) masuk ke dalam ruang bakar, yang kedua adalah langkah kompresi yaitu piston bergerak dari titik mati bawah (TMB) ke titik mati atas (TMA)  untuk menaikkan tekanan bensin dan udara agar diperoleh tekanan pembakaran yang cukup tinggi, yang ketiga adalah langkah kerja yaitu piston bergerak dari titik mati atas (TMA) ke titik mati bawah (TMB) untuk meneruskan gaya tekanan hasil pembakaran sehingga dapat dipakai sebagai tenaga penggerak, yang keempat adalah langkah buang yaitu piston bergerak dari titik mati bawah (TMB) ke titik mati atas (TMA) untuk membuang gas-gas hasil pembakaran keluar ruang pembakaran. Keempat hal tersebut terjadi dalam satu kerja proses motor bensin yang disebut juga satu siklus. Pada motor bensin, piston adalah alat yang melakukan ke- empat hal tersebut  dengan cara piston bergerak naik turun didalam sebuah ruang bakar untuk menghasilkan tenaga. Untuk mengetahui besar cc (centimeter cubic) dari sebuah volume ruang bakar kendaraan adalah dengan menggunakan rumus volume benda putar yaitu , didapatkan hasil yaitu 35 satuan volume, yang didalamnya terdapat konsep Integral tertentu dengan menggunakan Teorema Dasar Kalkulus, serta dengan menggunakan definisi fungsi, ukuran diameter tabung terdapat pada Buku Pedoman Reparasi Honda Revo 110, sedangkan tinggi tabung diukur secara nyata dengan mengguanakan jangka sorong.. Tinggi tabung disubstitusikan sebagai batas Integral dan jari-jari tabung disubstitusikan sebagai . Jadi, semakin besar volume dari sebuah ruang bakar mesin kendaraan, maka semakin besar pula tenaga yang dihasilkan oleh piston, sehingga bahan bakar yang diperlukan juga semakin besar.
The analysis of the sensitivity of vaccination parameters in a tuberculosis transmission model Chasanah, Siti Laelatul; Ferdias, Pandri; Nurvazly, D E
Desimal: Jurnal Matematika Vol. 4 No. 1 (2021): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v4i1.7116

Abstract

Tuberculosis (TB) is one of the most dangerous infectious diseases that caused 1,5 million people died from TB in 2018 (including 251.000 people with HIV). As the preventive strategy for the spread of TB, we can use BCG vaccination. This study aims to investigate and analyze the sensitivity of vaccination parameters (to newborns and adults). This model divided the human population into five classes: susceptible , vaccinated , high-risk  and low-risk  latent, and infectious . Analysis of the mathematical model was discussed by finding the existence and analyzing the model equilibrium's stability based on the Basic Reproduction Number ( ).  Furthermore, we determined the sensitivity analysis of the proportion of vaccine and other parameters that affect the TB transmission model. The numerical experiment shows that vaccination to adults more effective than newborns.
PRODAMAS chatbot: Aflask and support vector machine based implementation Mustain, Riefyal Arshyza; Muhajir, Muhammad; Ferdias, Pandri; Saputra, Nurirwan
Desimal: Jurnal Matematika Vol. 6 No. 2 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i2.17264

Abstract

In accelerated and equitable development in the Kediri City, the Kediri City Government launched the Community Empowerment Program called Prodamas. Prodamas aims to develop and encourage community participation in development at the Neighbourhood Level. To increase the dissemination of information about Prodamas, digital technology can be used as an information service provider. One of them is Chatbot. To develop Chatbots, Natural Language Processing, which is a branch of Artificial Intelligence, has become the most frequently used computer program. This Prodamas chatbot development uses the pattern matching method as an answer search algorithm and Support Vector Machine (SVM) classification as a method to see the machine's level of accuracy in answering questions given by users. Furthermore, the chatbot will be connected to WhatsApp so that it is expected to be able to provide and provide information about Prodamas. The results of testing the chatbot response with new questions provide an accuracy of 79%. Then testing the classification of the new question text with SVM. Obtained an accuracy of 88% with a precision value of 91% and a recall of 88%.
Co-Authors Agus Lukman Hakim Ali Ramdhani, Miftah Faiz Eka Anis Savitri, Eka Anis Firdaus, Siti Aina Maulana, Rahmat Muhammad Muhajir, Muhammad Mustain, Riefyal Arshyza Nurirwan Saputra, Nurirwan Nurvazly, D E Qawi, M Robbi Qawi, M. Robbi Salmande, Ali Siti Laelatul Chasanah, Siti Laelatul Zaenal Abidin