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Model Sistem Dinamik Spasial untuk Mengurangi Tingkat Kepadatan Ruas Jalan Utama Kota Surabaya dengan Metode Smart Mobility Mochammad Althof Ibtisaam Shiddekh; Erma Suryani
Jurnal Teknik ITS Vol 7, No 1 (2018)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v7i1.28314

Abstract

Kota besar, sebuah pusat atau sentral dari suatu provinsi atau daerah yang memiliki banyak aktivitas ekonomi dan gaya hidup urban yang banyak didambakan oleh banyak orang terutama yang tinggal di daerah terpencil, mereka menilai apabila dapat mengandu nasib dengan baik di pusat kota, maka hidup mereka dapat berubah kearah yang lebih baik dari sebelumnya. Dengan alasan itulah faktor urbanisasi sangat umum di kota besar. Terutama di Kota Surabaya, yang notabenenya adalah kota terbesar kedua di bumi indonesia. Dengan pergerakan urbanisasi yang masif, dan juga diikuti dengan banyaknya tenaga kerja yang tinggal di daerah lain untuk berkarir di Surabaya, terjadi lonjakn manusia yang sangat pesat terutama pada hari kerja. Banyakanya kendaraan yang menuju kearah pusat kota dan memenuhi jalan penghubung utama. Kebutuhan akan kendaraan menjadi sangat krusial. Selain kebutuhan kendaraan yang besar, kebiasaan masyarakat yang lebih menyukai penggunaan kendaraan pribadi dibandingkan dengan kendaraan umum yang telah disediakan oleh pemerintah. Mereka menilai bahwa transportasi umum kurang memadai untuk terus dapat digunakan. Maka dari itu, perlu adanya sistem yang dapat menunjang untuk menggerakan masyarakat dalam mengurangi penumpukan kendaraan dan tetap menjaga lingkungan tetap tidak dipenuhi polusi. Sistem ini akan mengaplikasikan teori Smart Mobility, salah satu aspek dari Smart City.
Pemodelan Simulasi Sistem Dinamik untuk Meningkatkan Jumlah Pendapatan Unit Rawat Inap Rumah Sakit Islam Surabaya A.Yani Anwar Romadhon; Erma Suryani
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 3: Juni 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020703126

Abstract

Perkembangan rumah sakit di Indonesia semakin meningkat, sejak tahun 2012 sampai 2018 mengalami peningkatan dengan rata – rata 5.2%. Tentunya hal tersebut memiliki dampak terhadap daya saing yang lebih kompetitif. Kebijakan pemerintah Indonesia  yang mengharuskan rumah sakit bekerja sama dengan Jaminan Kesehatan Nasional (JKN) guna pemerataan  pelayanan kesehatan mempengaruhi jumlah pendapatan. Faktanya asuransi BPJS Kesehatan mengalami defisit anggaran yang nilainya sangat besar. Manajement rumah sakit harus mencari strategi dan kebijakan yang tepat dalam upaya memaksimalkan pendapatan khususnya di era JKN. Pembatasan jumlah kunjungan tidak mungkin dilakukan mengingat sebagian besar pasien berasal dari peserta BPJS Kesehatan. Tujuan penelitian ini dilakukan untuk menemukan kebijakan dan solusi yang tepat bagi rumah sakit untuk mendapatkan keuntungan finasial dalam kondisi defisitnya anggaran asuransi kesehatan. Penting informasi membuat manajemen rumah sakit berupaya untuk memanfaatkan teknologi informasi sebagai media untuk merancang strategi bisnisnya, simulasi komputer seperti pemodelan sistem dinamik mempu menggambarkan dan mensimulasikan sistem secara nyata yang mengacu pada data,  sehingga pemangku kepentingan dapat memprediksi kondisi yang bisa terjadi dimasa depan. Hasil penelitian menunjukkan bahwasanya dengan merubah sistem pembayaran dari Fee For Services menjadi INA - Case Base Groups dapat memberikan keuntungan lebih bagi rumah sakit, hal ini dikarenakan tarif yang ditetapkan menyesuaikan dengan tarif rumah sakit di seluruh Indonesia. Temuan lain yang perlu diperhatikan adalah piutang pihak asuransi mengalami peningkatan, tentunya hal tersebut perlu perhatian lebih, serta bisa dijadikan bahan pertimbangan untuk mengubah sistem pembayaran karena sesuai hasil simulasi dapat memaksimalkan jumlah pendapatan . Lokasi penelitian di unit rawat inap, rumah sakit islam surabaya, diharapkan dari hasil pemodelan simulasi bisa dijadikan sebagai gambaran atau acuan bagi manajemen puncak rumah sakit dalam mengambil sebuah keputusan sebagai strategi bisnis. Abstract Hospital development in Indonesia has increased, from 2012 to 2018 has increased by an average of 5.2%.. Of course this has an impact on more competitive competitiveness. Indonesian government policy that requires hospitals to work closely with the National Health Insurance (JKN) in order to equalize health services affects the amount of revenue. The fact is that BPJS Health insurance has a very large budget deficit. Hospital management must find the right strategy and policy in an effort to maximize revenue, especially in the JKN era. Limiting the number of visits is not possible considering that most patients come from BPJS Health participants. The purpose of this study was to find the right policies and solutions for hospital to obtain financial benefits in the health insurance budget deficit. Important information makes hospital management strive to utilize information technology as media for designing business strategies, computer simulations such as dynamic system modeling can describe and simulate real systems that refer to data, so that stakeholders can predict conditions that can occur in the future. The results showed that by changing the payment system from Fee For Services to INA - Case Base Groups can provide more benefits for hospital, this is because the rates set adjust to hospital rates throughout Indonesia. Another finding that needs to be considered is that the insurance receivables have increased, of course it needs more attention, and can be taken into consideration to change the payment system because according to the simulation results can maximize the amount of income. The location of research in the inpatient unit, Surabaya Islamic hospital, is expected from the results of simulation modeling can be used as an illustration or reference for top management of the hospital in making a decision as a business strategy.
System Dynamics Simulation Model to Increase Paddy Production for Food Security Mala Rosa Aprillya; Erma Suryani; Anisa Dzulkarnain
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.937 KB) | DOI: 10.20473/jisebi.5.1.67-75

Abstract

Background: Food security is a world problem that often affects developing countries, one of them in Indonesia. Along with the increasing population growth population in Indonesia, this will affect the level of demand for rice for food needs. The problem of rice consumption and its fulfillment is an important agenda. If Indonesia does not want to depend on rice imports, then paddy production must continue to be increased. Therefore, food availability in each region is maintained to realize food security. Objective: The purpose of this study is to analyze the factors that influence the increase paddy production in terms of cultivation and postharvest using a system dynamics model approach as the basis for policy strategy preparation.Methods: System Dynamics (SD) approach with the consideration that this framework offers the ability to study and manage complex feedback systems and the ability to model non-linear behavior. Then do a series of decision scenarios to get the best results using computer assistance.Results: Scenario results indicate that increasing paddy production to meet demand in Indonesia can be done by increasing the adoption of postharvest harvesting mechanisms coupled with the application of appropriate GAP (Good Agricultural Practice). It will increase paddy production in East Java so that it will make a large contribution to rice production in East Java.Conclusion: This research can be used to improve paddy production to food security by improving harvesting mechanisms. For further research, we can consider increasing rendement paddy in supporting increased rice production.
The Effect of Service Quality on T-Cash Customer Satisfaction using System Dynamics Framework Dhyna Octabriyantiningtyas; Erma Suryani
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.428 KB) | DOI: 10.20473/jisebi.5.1.76-84

Abstract

Background: Every year, the number of T-Cash users is increasing significantly. However, the increase is not in sync with the number of T-Cash transactions. In this year, it was noted that active T-Cash users were only 35%. Some clinical studies have established an assessment of the quality of services, there are several dimensions assessed according to the topic of research. The dimensions of service quality used in this study are dimensions of efficiency, reliability, responsiveness, privacy, and security.Objective: This study aims to build general models and simulations in increasing customer satisfaction with the quality of T-Cash services and produce the best scenarios that can be used by policymakers in increasing customer satisfaction.Methods: System dynamics framework is utilized for the development of the model and scenarios. Because by using a system dynamics framework can predict service quality sometime in the future so that it can produce policies for the company.Results: The simulation results are considered valid because they produce E1 values of 3% (E1 valid when E1 ≤ 5%) and E2 of 7% (E2 valid when E2 ≤ 30%). E1 is mean comparison and E2 is error variance. Based on these 2 scenarios, a policy can be taken that scenario 1 significantly increases customer satisfaction compared to scenario 2.Conclusion: Based on the simulation that has been done, it can be concluded that the dimensions of responsiveness, privacy, reliability, security, and efficiency have an effect on improving service quality. On the scenario 1, it can be concluded that with the addition of the user friendliness dimension, the service quality will experience a significant increase over the next 5 years. 
Scenario Model to Mitigate Traffic Congestion and Improve Commuting Time Efficiency Shabrina Luthfiani Khanza; Erma Suryani; Rully Agus Hendrawan
Journal of Information Systems Engineering and Business Intelligence Vol. 7 No. 2 (2021): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.7.2.112-118

Abstract

Background: Commuting time is highly influenced by traffic congestion. System dynamics simulation can help identify the cause of traffic problems to improve travel time efficiency.Objective: This study aims to reduce traffic congestion and minimise commuting time efficiency using system dynamics simulation and scenarios. The developed scenarios implement the Bus Rapid Transit (BRT) and trams projects in the model.Methods: System dynamics simulation is used to analyse the transport system in Surabaya and the impact of BRT and trams project implementation in the model in order to improve commuting time and to reduce congestion.Results: From the simulation results, with the implementation of BRT and tram projects along with highway expansion, traffic congestion is predicted to decline by 24-44%.  With the reduction of traffic congestion, travel time efficiency is predicted to improve by 11-28%. On the contrary, implementation of BRT and tram project without highway expansion is predicted to increase the traffic congestion by 5% in the initial year of implementation, then traffic congestion is predicted to decline by 2% in 2035.Conclusion: Based on the scenarios, transport project implementation such as BRT and trams should be accompanied with improvement of infrastructure. Further research is needed to develop a more comprehensive transportation system to capture a broader view of the problem. Keywords: Model, Simulation, System Dynamics, Traffic Congestion, Travel Time 
The Impact of Social Media Engagement on Market Share: A System Dynamics Model Erma Suryani; Rully Agus Hendrawan; Benyamin Limanto; Fatharani Wafda; Inayah Auliyah
Journal of Information Systems Engineering and Business Intelligence Vol. 8 No. 1 (2022): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.8.1.71-79

Abstract

Background: Some studies have shown that Return on Total Assets is a strategy to increase market share. Other studies have also shown that social media like WeChat can increase market share. However, no studies have considered Instagram engagement in increasing market share. Objective: This study aims to identify variable linkage that increases market share through a dynamic system approach in small and medium-sized enterprises (SMEs). Methods: Using a System Dynamics approach, this study presents a model simulation with a proposed increase in market share by considering Instagram features. This approach creates a Causal Loop Diagram converted into a simulated Stock Flow Diagram. The value generated from the simulation is validated with the mean comparison and % error variance formulas. Results: Instagram engagement increases market share from 0.009 to 0.018. Such engagement can be increased by posting regularly and doing more activities, such as increasing post frequency, holding contests, and maximizing all features. Conclusion: This study has successfully modeled information technology, i.e., a promotion module on social media. However, this work has not yet demonstrated how the features can gain more market share, so future research is needed.  Keywords: Causal Loop Diagram, Engagement, Market Share, Stock Flow Diagram, System Dynamics
THE IMPLEMENTATION OF SYSTEM DYNAMICS IN HOSPITAL SERVICES FOR IMPROVING THE INPATIENT ROOMS UTILIZATION Heri Supriyanto; Erma Suryani
Jurnal Ilmiah Kursor Vol 10 No 1 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v10i1.206

Abstract

Hospitals are an important part of the health system. This agency consists of several main services, namely Outpatient, Emergency, and Inpatient services. One type of main service that is quite complex and needs to be considered is service at inpatient installations. Regarding this inpatient service, hospitals must make a structural and functional utilization effort to be further improved by increasing the utilization of service space regarding the number of available beds. To measure the level of utilization of hospital facilities at inpatient services, hospital service indicators are needed to measure it. These indicators include BOR (Bed Ocupanccy Rate), which is the percentage of beds filled, LOS (Length of Stay), namely the average length of stay, TOI (Turn Over Interval), which is the average free time of bed, BTO (Bed Turn Over), namely the productivity of the bed. These indicators will be presented in graphical form, namely Barber Johnson Graph. From the values ​​produced by the hospital management, later it can be used as material for planning and decision-making in determining service facility policies in the future. The purpose of this study is to make modeling with a system dynamics so that the value of the indicator can have ideal parameter values. The result of this study is that a scenario is needed to increase the number of patient visits, because patient visits are too low. This is evidenced by the value of the BOR which is less than the ideal value. In addition, the duration of patient care, day of care was influenced by the variable number of patient visits. The results of the scenario show that in 2019 to 2030 the values ​​of BOR, LOS, TOI, and BTO were produced according to the ideal indicator value. Keywords: Inpatients, Room Utilization, Service Indicators, System Dynamics.
Integrasi Spasial Sistem Dinamik Untuk Analisis Perubahan Pola Aliran Sungai Dan Daerah Genangan Di Pantai Surabaya–Sidoarjo Bangun Muljo Sukojo; Regina Verra Santiara; Erma Suryani
Jurnal Geosaintek Vol 3, No 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (526.919 KB) | DOI: 10.12962/j25023659.v3i1.2952

Abstract

Faktor penyebab terjadinya genangan dan banjir adalah intensitas curah hujan lebih besardaripada perhitungan dalam perencanaan drainase dan intensitas hujan sesuai dengan perencanaan akantetapi limpasan air hujan tidak mampu ditampung oleh sistem drainase yang ada. Analisa spasial dapatdigunakan untuk mendapatkan pola aliran sungai dan daerah rawan genangan. Analisa spasial dilakukandengan menggunakan beberapa tipe data spasial yaitu: citra satelit penginderaan jauh untuk memetakantutupan lahan dan peta-peta tematik untuk melihat konfigurasi bentang lahan. Tujuan utama daripenelitian ini adalah mengetahui dan menganalisa perubahan pola aliran sungai dan daerah genangan diPesisir Surabaya-Sidoarjo. Hasil penelitian ini menunjukkan bahwa Daerah pesisir Surabaya bagian Utarasampai perbatasan Sidoarjo di dominasi oleh pola aliran Paralel, sedangkan daerah pesisir Sidoarjo lebihdi dominasi oleh pola aliran sungai Dendritik. Pola aliran sungai dari tahun 2009 hingga 2013 relatif tetap.Berdasarkan tingkat kerawanannya, kawasan pesisir pantai Surabaya-Sidoarjo didominasi kelas genangansangat rawan. Hal ini terjadi karena persebaran hujan dengan intensitas yang tinggi di daerah tersebut.Sehingga mengindikasikan bahwa selain tutupan lahan, curah hujan juga cukup mempengaruhi tingkatkerawanan daerah genangan. Pada tahun 2009 dan 2013, diperkirakan bahwa Sub DAS Jomblong dan SubDAS Greges merupakan daerah rawan genangan karena memiliki nilai debit maksimum yang melebihidebit eksistingnya.
Analysis of Consumer Complaint Handling on Indonesian Consumer Site Using K-Means Cluster Method Risma Petrus; Erma Suryani; Makarius Bajari
UNEJ e-Proceeding 2021: International Conference on Management, Business, and Technology (ICOMBEST) 2021
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A consumer complaint is a consumer's right to submit a complaint about a service or product provided, or in other words, a complaint is an expression of consumer dissatisfaction either verbally or in writing caused by the loss experienced by the consumer and the non-fulfillment of the agreed agreement. The government is very aware of the various things experienced by consumers as users of goods and services. Through the presidential regulation of the Republic of Indonesia number 50 of 2017 concerning consumer protection strategies and through this regulation the relevant sectors make various efforts to improve their performance related to following up on every complaint. Non-hierarchical grouping using the k-means method is the placement of objects based on the closest group means. Through the results of data processing conducted through research on consumer submission data based on the type of complaint, it shows that there is significance in all variables of incoming complaints, completed complaints, complaints in process with a significance level (sig) less than 0.05. Therefore, there is a significant difference in the clusters formed that relate to all these variables. And in the table the largest F value is 355,957 which indicates that the complaints entered in each cluster are different. So it can be concluded that the greater the value of F, the greater the difference in cluster 1, cluster 2, cluster 3 for the variable concerned. Keywords: Method, K-Means, Complaint Handling, Cluster Analysis
System Dynamics Development Model for Operations Strategy in Power Generation System through Integrated Transmission and Distribution System Lilia Trisyathia Quentara; Erma Suryani
IPTEK Journal of Science Vol 2, No 1 (2017)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.78 KB) | DOI: 10.12962/j23378530.v2i1.a2253

Abstract

Electrification Ratio in East Java (Indonesia) has reached 86.67% at the end of 2015 due to in Madura island only 60.55% who have received electricity supply from PLN. The topography of Madura which far-flung distances per village, as well as the small number of households in the village are being constraint in build up the electricity infrastructure investment. The main problem in electrical operating system is how to meet the demand and supply of electric power by maintaining the continuity of effective and efficient services to PLN customers. These problems would take a long-term solution in electrical system which is able to increase the role of renewable energy, improve the reliability, safety and efficiency, reduce energy costs, and can recover quickly from interruptions. Effective and efficient electrical operational systems in real time is expected to improve the sustainability of supply electric power. The Dynamic System method is used to analyze the electrical operating system by developing a scenario model to identify the factors and variables that affect the system, to be use-full as consideration in taking strategic policy in operational PLN
Co-Authors Achmad Mufliq Addin Aditya Adi, Trijoko Wahyu Ahmad Mukhlason Algracevian Andrea Gibran Syahrial Alifiansyah Arrizqi Hidayat Alvisi Aura Chandra Amalina, Debbie Amna Shifia Nisafani Amrina Friska Apriliana Ananda Riyandwyana Andhika Prasandy Rachman Andi Inayah Auliyah Andre Firmansyah Andre Parvian Aristio Anggi Yhurinda Perdana Putri Anisa Dzulkarnain Anwar Romadhon Ari Santoso Arif Wibisono Arishinta, Ayasophia Ashma Hanifah Bangun Muljo Sukojo, Bangun Muljo Benyamin Limanto Benyamin Limanto Cahyono, Dwi Dhika Wahyu Octaviani Dhyna Octabriyantiningtyas Donaya Pasha Enrico Samuel Djimesha Eryuni Ramdhayani Fadhil, Muhammad Faiq Najib Al-Aziz Faizal Mahananto Faradibah, Amaliah Fatharani Wafda Fatharani Wafda Ferlyna Kusuma Wardhani Gustin Ayu Cahyandini Gustin Ayu Cahyandini Gustin Ayu Cahyandini HANDEWI P.S. RACHMAN Handewi Purwati Saliem Hanifan Muhayat Haris Rafi Heri Supriyanto Hermansyah Hermansyah Herry Purwanti Heru Yunianta I Made Candra Girinata I Putu Artama Wiguna Ika Nurkasanah Indah Dwi Lestari Indroprasto Indroprasto Iqbal Grady Favian Jadid Pratama Yuga Nugraha Jennis Tonapa Jessica Patricia Halim Jojok Widodo Soetjipto Kamarudin Hasan Basri Kartini Aprilia Pratiwi Nuzry Kurnia Sari Darma Siswi Lidra Trifidya Lilia Trisyathia Quentara Litafira Syahadiyanti Litafira Syahadiyanti M. Yusuf Sulaiman Mahendrawathi ER Mahendrawati ER Makarius Bajari Makarius Bajari Mala Rosa Aprillya Mas’odi Mas’odi Maya Puspita Mochammad Althof Ibtisaam Shiddekh Muhammad Afzal Muhammad Alam Pasirulloh Muhammad Andika S M Muhammad Andika Satrugna Mahardhika Muhammad Septama Prasetya Muhammad Syamil Fadlillah Nanok Adi Saputra nFN Supriyati Ni Luh Septiana Dharmayanti Nilasari Mukti Widyaningsih Novia Paramita Shandra Nugroho, Cahyo Aji Nurmansyah Nurmansyah Octavia Olga Citra Dewi Ony Ichsandrya Pandu Satrio Priangga, Prima Purnama Anaking Putri, Anggi Yhurinda Perdana Putu Aditya Dharmawan Rachman Arief Radityo Prasetianto Radityo Prasetianto Wibowo Raffly Andico Devara Rahmad Hidayat Rahmawati, Ulfa Emi Randy Pradana Kushatmaja Raras Tyasnurita Raulia Riski Regina Verra Santiara Retno Aulia Vinarti Rindu Puspita Wibawa Rini Qurratul Aini Risma Petrus Risma Petrus Rizka Wakhiddatus Sholikah Rully Agus Hendrawan Sarwosri Sarwosri Satria Nur Alam Septama, Muhammad Serra Charisma Viontita Shabrina Luthfiani Khanza Shoffi Izza Sabilla Surya, Agung Bagus Syaiful Hidayat Syauqi Saswatata Nawal Abadi Tata Aransta Imas Puspita Tita Ayu Rospricilia Tony Dwi Susanto Ulfa Emi Rahmawati Ulfa Emi Rahmawati Ummi Ainun Nadhiroh Wahyuningtyas, Nunuk Wiandana, I Gede Wibawa, Rindu Puspita Wibisono, Arif Wibisono, Arif Wisnu Broto, Y. Suponco