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Traffic Modeling in Serang City Using the Extended Link Transmission Model Rachim, Dimas Kukuh Nur; Pratiwi, B.N.; Syafrizal, R.; Toyibah, Toyibah
KUBIK Vol 9, No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.34720

Abstract

In many countries, traffic problem has increased time by time, it has been caused by the increasing amount of vehicle and the lacking of segment road. For the example, urban traffic problem such as traffic congestion has become a big problem for drivers. This research studied urban traffic modeling using the link transmission model (LTM). The method was proposed is mathematical modeling, including car and bus as the objects of research. The cars and buses data were collected directly by the observers at the intersection that has four links and that are connected each other. The simulation process was obtained for the each link at rush hour period. At the interval 6.30-7.30am the total time spend in the link A, B, C, and D were 45.93h, 28.58h, 37.25h, and 19.91h. At the interval 04.00-05.00pm the total time spend in the link A, B, C, and D were 27.38h, 28.58h, 37.25h, and 19.91h. Based on these results, we might to give an advice to control the duration of  traffic lights that controlled traffic flow in the each link. The red traffic light duration of link A at 6.30-730am must be lower than the others so the vehicles at link A will send much better and the TTS will turn down.
Al-Faruqi's Islamization of Science in Sardar's Critical Perspective Istanto, Dwi; Zarkasyi, Hamid Fahmy; Arroisi, Jarman; Rachim, Dimas Kukuh Nur; Rusli, Ris'an
Jurnal Filsafat "WISDOM" Vol 35, No 1 (2025)
Publisher : Fakultas Filsafat, Universitas Gadjah Mada Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jf.94360

Abstract

This research conducts an in-depth analysis of Ziauddin Sardar's views on the concept of Islamization of science promoted by Ismail Raji al-Faruqi. By exploring the works of the two figures, this research reveals in detail Sardar's criticisms of the epistemological, paradigmatic and methodological foundations underlying the Islamization of science. The analysis shows that Sardar has fundamental concerns about the potential of the Islamization of science to limit the diversity of knowledge, shift established scientific paradigms, and sacrifice the rigor of research methodology. According to Sardar, attempts to impose Islamic views into all aspects of science risk stifling the development of science as a whole. This study also presents a more thoughtful interpretation. The author argues that the Islamization of science should not be understood as a way to completely overhaul established scientific paradigms and methods. Instead, the Islamization of science can be an opportunity to expand our understanding of natural phenomena by integrating Islamic perspectives. With descriptive analysis, this study concludes that the Islamization of science can be a bridge to a more comprehensive synthesis of knowledge, provided it is done wisely and avoids oversimplification. In responding to the concept of Islamization of science, Sardar offers constructive criticism. He reminds us to maintain harmony between religious values and academic autonomy in advancing science. While critical of certain aspects, Sardar does not entirely dismiss the concept. He advocates for a more inclusive and open dialogue among Muslim scientists and Islamic scholars to collaboratively develop a model of Islamization that is both relevant to contemporary challenges and compatible with the principles of scientific inquiry.
Identification and Prevalence of Gastrointestinal Parasites in the Feces of Sapera Goats at Jawara Farm Arif, Hafaz; Jasmi, Riski Andrian; Rachim, Dimas Kukuh Nur
Al-Hayat: Journal of Biology and Applied Biology Vol. 8 No. 1 (2025)
Publisher : Fakultas Sains dan Teknologi, UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/ah.v8i1.26885

Abstract

Livestock health is a crucial factor that influences the success of animal farming. One of the determinants of livestock health is the presence of parasites. This study aims to identify the types of gastrointestinal parasites and determine their prevalence in Sapera goats at Jawara Farm. The research was conducted using three examination methods: native, sedimentation, and flotation. A total of 23 goat fecal samples were examined in the laboratory. The identification results revealed five types of gastrointestinal parasites: Haemonchus contortus, Trichuris spp., Eimeria hirci, Eimeria christenseni, and Eimeria aspheronica. The parasite with the highest prevalence was Haemonchus contortus (69%), followed by Trichuris spp. (39%), Eimeria aspheronica (26%), Eimeria hirci (17%), and Eimeria christenseni (13%). The highest average Egg Per Gram (EPG) was found in Trichuris spp. (379.17), categorized as a moderate infection. Environmental factors such as temperature, humidity, and pen hygiene are strongly suspected to influence the prevalence rate and severity of parasitic infections. This study is expected to serve as a foundation for efforts in controlling and preventing parasitic infections on farms.
Identification and Prevalence of Gastrointestinal Parasites in the Feces of Sapera Goats at Jawara Farm Arif, Hafaz; Jasmi, Riski Andrian; Rachim, Dimas Kukuh Nur
Al-Hayat: Journal of Biology and Applied Biology Vol. 8 No. 1 (2025)
Publisher : Fakultas Sains dan Teknologi, UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/ah.v8i1.26885

Abstract

Livestock health is a crucial factor that influences the success of animal farming. One of the determinants of livestock health is the presence of parasites. This study aims to identify the types of gastrointestinal parasites and determine their prevalence in Sapera goats at Jawara Farm. The research was conducted using three examination methods: native, sedimentation, and flotation. A total of 23 goat fecal samples were examined in the laboratory. The identification results revealed five types of gastrointestinal parasites: Haemonchus contortus, Trichuris spp., Eimeria hirci, Eimeria christenseni, and Eimeria aspheronica. The parasite with the highest prevalence was Haemonchus contortus (69%), followed by Trichuris spp. (39%), Eimeria aspheronica (26%), Eimeria hirci (17%), and Eimeria christenseni (13%). The highest average Egg Per Gram (EPG) was found in Trichuris spp. (379.17), categorized as a moderate infection. Environmental factors such as temperature, humidity, and pen hygiene are strongly suspected to influence the prevalence rate and severity of parasitic infections. This study is expected to serve as a foundation for efforts in controlling and preventing parasitic infections on farms.
Traffic Modeling in Serang City Using the Extended Link Transmission Model Rachim, Dimas Kukuh Nur; Pratiwi, B.N.; Syafrizal, R.; Toyibah, Toyibah
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.34720

Abstract

In many countries, traffic problem has increased time by time, it has been caused by the increasing amount of vehicle and the lacking of segment road. For the example, urban traffic problem such as traffic congestion has become a big problem for drivers. This research studied urban traffic modeling using the link transmission model (LTM). The method was proposed is mathematical modeling, including car and bus as the objects of research. The cars and buses data were collected directly by the observers at the intersection that has four links and that are connected each other. The simulation process was obtained for the each link at rush hour period. At the interval 6.30-7.30am the total time spend in the link A, B, C, and D were 45.93h, 28.58h, 37.25h, and 19.91h. At the interval 04.00-05.00pm the total time spend in the link A, B, C, and D were 27.38h, 28.58h, 37.25h, and 19.91h. Based on these results, we might to give an advice to control the duration of  traffic lights that controlled traffic flow in the each link. The red traffic light duration of link A at 6.30-730am must be lower than the others so the vehicles at link A will send much better and the TTS will turn down.
Traffic Modeling in Serang City Using the Extended Link Transmission Model Rachim, Dimas Kukuh Nur; Pratiwi, B.N.; Syafrizal, R.; Toyibah, Toyibah
KUBIK Vol 9 No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.34720

Abstract

In many countries, traffic problem has increased time by time, it has been caused by the increasing amount of vehicle and the lacking of segment road. For the example, urban traffic problem such as traffic congestion has become a big problem for drivers. This research studied urban traffic modeling using the link transmission model (LTM). The method was proposed is mathematical modeling, including car and bus as the objects of research. The cars and buses data were collected directly by the observers at the intersection that has four links and that are connected each other. The simulation process was obtained for the each link at rush hour period. At the interval 6.30-7.30am the total time spend in the link A, B, C, and D were 45.93h, 28.58h, 37.25h, and 19.91h. At the interval 04.00-05.00pm the total time spend in the link A, B, C, and D were 27.38h, 28.58h, 37.25h, and 19.91h. Based on these results, we might to give an advice to control the duration of  traffic lights that controlled traffic flow in the each link. The red traffic light duration of link A at 6.30-730am must be lower than the others so the vehicles at link A will send much better and the TTS will turn down.
Analysis of the Impact of Population Growth in DKI Jakarta Using Logistic Model Rachim, Dimas Kukuh Nur; Firdaus, Ahmad; Saputro, Arif Gozali Warso
Jurnal Pendidikan Matematika Vol 5, No 1 (2022): Jurnal Pendidikan Matematika (Kudus)
Publisher : Universitas Islam Negeri Sunan Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/jpmk.v5i1.14276

Abstract

The rapid population growth in the DKI Jakarta area has an impact on its population and creates an unfriendly environment. The author is motivated to analyse the effect of the population growth rate in DKI Jakarta over the next 10 years. The process of estimating population growth is calculated by a mathematical model called the logistic model. The logistic model is the model that developed by differential equation like the following  . This model illustrates that population growth is determined by the difference between the number of births and deaths of the population. In addition, an analysis of the resulting environmental impact and the impact of its handling will also be discussed. Based on estimation, the population in DKI Jakarta Province in 2022 is predicted around 10,636.685 people and it will reach 10,938.900 in 2030. It means there will be a 3% increase in population from 2019 to 2030 in DKI Jakarta Province. These values increase annually and they are predicted to have an impact on increasing the traffic congestion by 3%, from 70% to 72.1%. Another result has also occurred in air pollution. The average of air pollution increasing by 3%, from 39.6  to 40.79 . These two factors show that the increase of population growth will have an impact on increasing the average traffic congestion and the percentage of air pollution in DKI Jakarta. Pertumbuhan penduduk yang sangat pesat di wilayah DKI Jakarta memiliki dampak pada populasinya serta menciptakan lingkungan yang kurang ramah. Hal ini memotivsi penulis untuk menganalisis dampak dari laju pertumbuhan penduduk di DKI Jakarta selama 10 tahun mendatang. Proses estimasi pertumbuhan penduduk dikalkulasi mengunakan pemodelan matematika yang bernama model logistik.Model logistik adalah sebuah model matematika yang dikembangkan menggunakan persamaan differensial sebagaimana berikut . Model logistik mengilustrasikan pertumbuhan populasi penduduk sebagai selisih antara jumlah populasi yang lahir dengan jumlah populasi yang meninggal. Selain itu juga, akan dipaparkan mengenai dampak pencemaran lingkungan yang mungkin akan muncul di waktu yang akan datang. Berdasarkan hasil estimasi diperoleh prediksi jumlah penduduk di Provinsi DKI Jakarta pada tahun 2022 sebanyak 10,636.685 jiwa dan pada tahun 2030 akan mencapai 10,938.900. Hal tersebut berarti akan ada peningkatan sekitar 3% penduduk dari tahun 2019 hingga tahun 2030 di Provinsi DKI Jakarta. Nilai pertumbuhan populasi tersebut meninggkat setiap tahunnya dan diprediksi dapat meningkatkan kepadatan lalu lintas sebesar 3%, dari 70% menjadi 72.1% di tahun 2030. Hasil lain yang diprediksi akan terjadi ialah peningkatan rata-rata polusi udara sebesar 3%, dari 39.6  menjadi 40.79  pada tahun 2030. Kedua faktor ini menunjukan bahwa peniongkatan jumlah populasi penduduk di Provinsi DKI Jakarta dapat memberikan dampak pada peningkatan rata-rata kepadatan kendaraan dan polusi udara di Provinsi DKI Jakarta.