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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Ilmiah Kursor Prosiding SNATIKA Vol 01 (2011) Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Supply Chain Management QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup CCIT (Creative Communication and Innovative Technology) Journal Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JISA (Jurnal Informatika dan Sains) Charity : Jurnal Pengabdian Masyarakat International Journal of Business, Economics, and Social Development International Journal of Research in Community Services Operations Research: International Conference Series International Journal of Global Operations Research International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research
Eneng Tita Tosida
Universitas Pakuan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : International Journal of Quantitative Research and Modeling

 1 
Potential classification of Smart Village – Smart Economy with Deep Learning methods Runanto Runanto; Muhammad Fahmi Mislahudin; Fauzan Azmi Alfiansyah; Maudy Khairunnisa Maisun Taqiyyah; Eneng Tita Tosida
International Journal of Quantitative Research and Modeling Vol 2, No 3 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i3.147

Abstract

Development gap in the city and village is still happening on Indonesia. It happened because of the massive urbanization factors. Poverty in the Indonesian villages are relatively higher than on the urbans. In order to reach the maximal city development, Ministry of Village, Development of Disadvantaged Regions and Transmigration of Indonesia created a sustainable village development program namely Village’s Sustainable Development Goals (SDGs) and optimized the village potential data. This study aimed to design the smart village – smart economy classification system by using deep learning methods on village potential data on Indonesia at 2020. The method used in this study is data mining processes namely KDD (Knowledge Discovery and Data mining). The result in this study showed the best models were obtained which consisting of 2 hidden layers and each layer is 128, 128 layers which using target class from the process of calculating the score is able to reach 94.93% of the accuracy from the training process and 96% on the testing process and succeeded to classify the potentials of smart village – smart economy.
SPATIAL CLUSTERING-BASED GAS STATION LOCATION DETERMINATION Ayasda Rahardian; Eneng Tita Tosida; Ema Kurnia; Hairulnizam Mahdin
International Journal of Quantitative Research and Modeling Vol 4, No 2 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i2.451

Abstract

The absence of gas stations built in Cibeber Subdistrict is not balanced with the high level of transportation use for ease of mobility among residents. The purpose of this research is to cluster data using K-Means clustering and spatial modeling to provide a potential location for the construction of gas stations in Cibeber District. Based on the research process that has been carried out using RStudio, the potential villages for the construction of gas stations consist of four villages, namely Cikotok, Cibeber, Neglasari, and Wanasari. As for the results of spatial modeling, Cibeber District has a total of 862 potential location points, and within the scope of potential villages, namely four villages, there are 233 potential location points. Then, after being processed with weighted products for optimization and getting the best location results, 3 potential locations were obtained, namely Tegalumbu Village located in Wanasari Village, Nagrak Village located in Cikotok Village, and Cinangga Village located in Cibeber Village.
Modeling Queue Length at The Toll Gate Using Promodel Before and After Ramp-Off Construction Hafizi, Muhamad; Hafiz, Syauqi Abyan; Sugiharto, Bambang; Tosida, Eneng Tita; Bon, Abdul Thalib Bin; Sugara, Victor Ilyas; Subandi, Kotim; Salih, Yasir
International Journal of Quantitative Research and Modeling Vol 6, No 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i1.905

Abstract

In everyday life, queues often occur. Waiting at the counter to get train or movie tickets, at the toll gate, at the bank, at the supermarket, and in other situations that we often encounter Queues occur when the need for services exceeds the capacity or capacity of the service facility. As a result, users of the facility cannot get immediate service due to the busyness of the service. The Amplas Toll Gate queue is the object of this research. The Amplas Toll Gate is one of the densest toll gates that is heavily traveled by vehicles both entering and exiting. This makes it often seen a fairly long queue, especially during peak hours in the late afternoon to evening. The Medan City Government built an off ramp at the Amplas flyover in 2016. This off ramp leads directly to the Amplas toll gate. The vehicle arrival rate increases along with the queue length because vehicles can arrive faster to the toll gate. This study aims to calculate the queue length at the Amplas toll gate before and after the construction of the ramp off. Data is obtained by recording the volume of vehicles at the research location. With an average service time of 7 seconds, the queuing method produces a queue length of 11.98 meters, while the results using Pro Model software are 11.98 meters. In addition, the queue length after the construction of the ramp off decreased to 6.67 meters from before the construction of the ramp off. Promodel is a windows-based simulation software used to simulate and analyze a system.
Potential classification of Smart Village – Smart Economy with Deep Learning methods Runanto Runanto; Muhammad Fahmi Mislahudin; Fauzan Azmi Alfiansyah; Maudy Khairunnisa Maisun Taqiyyah; Eneng Tita Tosida
International Journal of Quantitative Research and Modeling Vol. 2 No. 3 (2021): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i3.147

Abstract

Development gap in the city and village is still happening on Indonesia. It happened because of the massive urbanization factors. Poverty in the Indonesian villages are relatively higher than on the urbans. In order to reach the maximal city development, Ministry of Village, Development of Disadvantaged Regions and Transmigration of Indonesia created a sustainable village development program namely Village’s Sustainable Development Goals (SDGs) and optimized the village potential data. This study aimed to design the smart village – smart economy classification system by using deep learning methods on village potential data on Indonesia at 2020. The method used in this study is data mining processes namely KDD (Knowledge Discovery and Data mining). The result in this study showed the best models were obtained which consisting of 2 hidden layers and each layer is 128, 128 layers which using target class from the process of calculating the score is able to reach 94.93% of the accuracy from the training process and 96% on the testing process and succeeded to classify the potentials of smart village – smart economy.
SPATIAL CLUSTERING-BASED GAS STATION LOCATION DETERMINATION Ayasda Rahardian; Eneng Tita Tosida; Ema Kurnia; Hairulnizam Mahdin
International Journal of Quantitative Research and Modeling Vol. 4 No. 2 (2023): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i2.451

Abstract

The absence of gas stations built in Cibeber Subdistrict is not balanced with the high level of transportation use for ease of mobility among residents. The purpose of this research is to cluster data using K-Means clustering and spatial modeling to provide a potential location for the construction of gas stations in Cibeber District. Based on the research process that has been carried out using RStudio, the potential villages for the construction of gas stations consist of four villages, namely Cikotok, Cibeber, Neglasari, and Wanasari. As for the results of spatial modeling, Cibeber District has a total of 862 potential location points, and within the scope of potential villages, namely four villages, there are 233 potential location points. Then, after being processed with weighted products for optimization and getting the best location results, 3 potential locations were obtained, namely Tegalumbu Village located in Wanasari Village, Nagrak Village located in Cikotok Village, and Cinangga Village located in Cibeber Village.
Modeling Queue Length at The Toll Gate Using Promodel Before and After Ramp-Off Construction Muhamad Hafizi; Syauqi Abyan Hafiz; Bambang Sugiharto; Eneng Tita Tosida; Abdul Thalib Bin Bon; Victor Ilyas Sugara; Kotim Subandi; Yasir Salih
International Journal of Quantitative Research and Modeling Vol. 6 No. 1 (2025): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i1.905

Abstract

In everyday life, queues often occur. Waiting at the counter to get train or movie tickets, at the toll gate, at the bank, at the supermarket, and in other situations that we often encounter Queues occur when the need for services exceeds the capacity or capacity of the service facility. As a result, users of the facility cannot get immediate service due to the busyness of the service. The Amplas Toll Gate queue is the object of this research. The Amplas Toll Gate is one of the densest toll gates that is heavily traveled by vehicles both entering and exiting. This makes it often seen a fairly long queue, especially during peak hours in the late afternoon to evening. The Medan City Government built an off ramp at the Amplas flyover in 2016. This off ramp leads directly to the Amplas toll gate. The vehicle arrival rate increases along with the queue length because vehicles can arrive faster to the toll gate. This study aims to calculate the queue length at the Amplas toll gate before and after the construction of the ramp off. Data is obtained by recording the volume of vehicles at the research location. With an average service time of 7 seconds, the queuing method produces a queue length of 11.98 meters, while the results using Pro Model software are 11.98 meters. In addition, the queue length after the construction of the ramp off decreased to 6.67 meters from before the construction of the ramp off. Promodel is a windows-based simulation software used to simulate and analyze a system.
Co-Authors Abdul Thalib Bin Bon Abimanyu Okysaputra Achmad Noerkhaerin Putra Achmad, Dinar Munggaran Agung Djati Walujo Agus Sunarya Alif, Ilham Radan Amelia Rahmi Amelia Rahmi Amelia Rahmi Ananda, Fifi Rizky Andria, ferdi Anisa Intan Selatan Anisa Intan Selatan Aprido, Eka Aries Maesya Arifah Budiarti Ayasda Rahardian Bambang Sugiharto Bambang Sugiharto Baskoro, Arif Dwi Bhayangkari, Andhika Bon, Abdul Thalib Bin Caroko Hutomo Iriantoro Putra Deden Ardiansyah Dian Kartika Utami Diki Andika Saputra Dinar Munggaran Achmad Elly Sukmanasa Ema Kurnia Fajar Delli W Fajar Delli Wihartiko Falleryan, Muhammad Fauzan Azmi Alfiansyah Febrian, Muhamad Zidane ferdi Andria Feriadi Feriadi, Feriadi Firdaus, Muhamad Haikal Fredi Andria Gunawan, Azzahra Ditri Hafiz, Syauqi Abyan Hafizi, Muhamad Hairulnizam Mahdin Halimah Tus Sa’diah Hario Bayu Hoerudin, Andi Irfan Wahyudin Irman Hermadi Juanito, Axel Kamel Mahdi Karyaningsih, Dentik Kotim Subandi Kudang Boro Seminar Lita Karlitasari Lola Jaman Sentosa M Iqbal Suriyansyah Martika, Karina Maudy Khairunnisa Maisun Taqiyyah Muhamad Hafizi Muhamad Sunarzi Muhamad Sunarzi Muhammad Fahmi Mislahudin Muhammad Ridwan Novi Fajar Utami Nurcahya, Dimas Nurjaman, Rusli P.S, Axel Juanito Permana, Rizki Prihastuti Harsani Puri Indrawati Rezaghani Rizki Nurfajri Runanto Runanto Saka, Bima Ariya Salih, Yasir Salmah Salmah Salmah Salmah Salmah Salmah Saputra, Abimanyu Oki Sauri, Ahmad Sopyan Selo Aji Siti Warnasih Siti Warnasih Situmorang, Boldson Herdianto Soleha Nuramanah Soleha Nuramanah Sri Setyaningsih Subandi, Kotim Sufiatul Maryana Sugara, Victor Ilyas Suriansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Sutanto Syauqi Abyan Hafiz Tomi Herdiawan, Tomi Turrohman, Syaifa Utep Utep Victor Ilyas Sugara Walujo, Agung Djati Walujo, Agung Djati Werdaya, Rangga Kusumah Putra Marsha Yani Nurhadryani Yanti, Yusma Yasir Salih Yazir, M Sofwan Yuli Wahyuni Yuli Wahyuni Yusilawati, Alfadita Dwi