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All Journal Jurnal KARISMATIKA Community Empowerment SAINSTEK Indonesian Journal of Construction Engineering and Sustainable Development Relevan : Jurnal Pendidikan Matematika JGGAG (Journal of Games, Game Art, and Gamification)
Imas Wihdah Misshuari
Program Studi Teknik Sipil, FTSP, Universitas Trisakti, Jakarta, Indonesia
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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PENERAPAN METODE CLASSIFICATION AND REGRESSION TREES (CART) UNTUK MENENTUKKAN FAKTOR-FAKTOR YANG MEMPENGARUHI PEMBAYARAN KREDIT OLEH NASABAH DI PT BPRS GEBU PRIMA MEDAN Imas Wihdah Misshuari; Chairunnisah . .
KARISMATIKA: Kumpulan Artikel Ilmiah, Informatika, Statistik, Matematika dan Aplikasi Vol 6, No 3 (2020): Karismatika
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jmk.v6i3.22202

Abstract

Penelitian  ini  bertujuan  untuk  mengklasifikasikan pembayaran  kredit nasabah PT BPRS Gebu Prima Medan. Hasil pengklasifikasian tersebut berupa faktor - faktor penciri yang mempengaruhi pembayaran kredit oleh nasabah. Untuk mengetahui hasil pengklasifikasian pembayaran kredit, digunakan analisis Classification and Regression Trees (CART) dengan pendekatan analisis pohon klasifikasi. Hasil  analisis  pohon  klasifikasi  Classification  and  Regression  Trees (CART) menunjukkan bahwa status pembayaran kredit dipengaruhi oleh usia , jenis kelamin dan jumlah tanggungan dengan ketetapan hasil klasifikasi yang terbentuk sebesar 89.1%. Karakteristik nasabah yang memiliki status pembayaran kredit cenderung tidak lancar adalah nasabah dengan usia lebih dari 66,5 tahun dengan presentase 66.7 %, nasabah yang mempunyai usia maksimum 66,5 tahun dengan jenis kelamin perempuan adalah nasabah yang memiliki usia maksimum 46,5 tahun dengan presentase 21.7 %, nasabah yang mempunyai usia maksimum 66,5 tahun dengan jenis kelamin laki-laki adalah nasabah yang memiliki jumlah tanggungan maksimum 0,5 dengan presentase 12.9 %, nasabah yang mempunyai usia maksimum 66,5 tahun dengan jenis kelamin perempuan adalah nasabah yang memiliki usia lebih dari 46,5 tahun dengan presentase 5.9 % , serta nasabah yang mempunyai usia maksimum 66,5 tahun dengan jenis kelamin laki-laki adalah nasabah yang memiliki jumlah tanggungan lebih dari 0,5 dengan presentase 4.3 %.  ABSTRACT This study aims to classify customer credit payments PT BPRS Gebu Prima Medan. The results of such classification are the determinant factors affecting credit payments by customers. To know the result of classification of credit payment, used analysis of Classi- fication and Regression Trees (CART) with approach of tree classification analysis. Classification and Regression Trees (CART) classification analysis showed that credit payment status was influenced by age, sex and number of dependents with determination of classification result that was formed 89.1%. Characteristics of customers who have creditworthy status tend to be non-current are clients with age greater than 66.5 years with a percentage of 66.7%, customers with a maximum age of 66.5 years with female gender are clients with a maximum age of 46.5 years old with a percentage 21.7%, clients with a maximum age of 66.5 years with male gender are clients with a maximum number of dependents of 0.5 with a percentage of 12.9%, clients with a maximum age of 66.5 years with female gender are customers who have age of more than 46.5 years with a percentage of 5.9%, and customers who have a maximum age of 66.5 years with male gender are customers who have a dependent amount of more than 0.5 with a percentage of 4.3%.   
ANALISIS PENGARUH PERUBAHAN TATA GUNA LAHAN MENGGUNAKAN EPA-SWMM DI DAS KRUKUT Firmansyah, Arief; Kurniyaningrum, Endah; Herlina, Liana; Misshuari, Imas Wihdah; Amin, Rais
INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD) Vol 7 No 2 (2024): INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/10.25105/cesd.v7i2.21759

Abstract

Flooding in Jakarta, a lowland area traversed by several rivers, has become a recurring challenge due to increased development, business activities, and land-use changes. This study aims to calculate the design flood discharge for various return periods and analyze the impact of land-use changes on flooding in the Krukut River Basin. The analysis utilized ArcGIS for land-use changes and EPA-SWMM for hydrological and hydraulic simulations. Results indicate that changes in land cover have led to an increase in flood discharge, for instance, in the 2-year return period from 106.01 m³/s (2006) to 108.25 m³/s (2017), and in the 100-year return period from 204.61 m³/s (2006) to 208.93 m³/s (2017). Mitigation efforts, such as the implementation of infiltration wells, were effective in reducing flood discharge, with EPA-SWMM simulations showing a reduction in the 100-year return period from 208.93 m³/s to 186.22 m³/s. This study recommends the implementation of infiltration wells and the enforcement of spatial planning regulations (RTRW) as conservation strategies to mitigate flood risks in the Krukut River Basin.
Pengaruh Curah Hujan terhadap Ketersediaan Air pada DAS Bogowonto Rinanti, Astri; Herlina, Liana; Kurniyaningrum, Endah; Adhi Kurniawan, Mochamad; Primahessa, Angga; Dwiki Komara, Kresna; Difa Faluty, Mutiara; Wihdah Misshuari, Imas
SAINSTEK Vol. 12 No. 2 (2024)
Publisher : Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/js.v12i2.259

Abstract

DAS Bogowonto merupakan salah satu DAS di Jawa Tengah. Isu pemanasan global akan berdampak pada perubahan iklim. Curah hujan merupakan salah satu parameter dari iklim. Tujuan dari penelitian ini adalah untuk mengetahui validitas data hujan, mengetahui adanya indikasi perubahan iklim terhadap curah hujan dan hujan wilayah serta ketersediaan air di DAS Bogowonto. Metode yang digunakan dalam penelitian ini untuk mengetahui validitas data hujan adalah metode RAPS (Rescaled Adjusted Partial Sums). Karakteristik hujan dan perubahan distribusi hujan dianalisis dengan uji statistik, yaitu uji rata-rata dengan uji-t, uji kesamaan jenis varian sampel dan uji varian populasi dengan uji-F. Data hujan diambil dari Stasiun Sapuran, Stasiun Guntur, Stasiun Tanjungsari dan hujan wilayah DAS Bogowonto. Hasil analisis statistik menunjukkan bahwa ketiga stasiun hujan adalah panggah. Rata-rata curah hujan tahunan antara periode 1 dan 2 di masing-masing stasiun hujan dan hujan wilayah menunjukkan tidak ada beda nyata. Hasil analisis statistic dengan menggunakan curah hujan total tahunan, bulan basah (DJF), bulan kering (JJA), dan bulan peralihan (MAM & SON) menunjukkan bahwa terjadi perubahan distribusi curah hujan yang cukup signifikan berdasarkan nilai rata-rata dan varian sehingga Terdapat bulan-bulan antara kebutuhan dan ketersediaan memiliki selisih yang tidak banyak yaitu Juli hingga Oktober dimana pada bulan-bulan tersebut memiliki intensitas curah hujan yang tidak stabil terjadi karena curah hujan pada bulan-bulan tersebut rendah (20-50mm) dengan karakteristik curah hujan di bawah normal (31%-50 %).
Synergy Magic Chess Optimization for 3 Evolution with Binary Integer Programming (Case Study Magic Chess v.255.1) Jovian Dian Pratama; Ratri Wulandari Wulandari; Imas Wihdah Misshuari
Journal of Games, Game Art, and Gamification Vol. 8 No. 2 (2023)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v8i2.9642

Abstract

Mobile Legends: Bang Bang or MLBB is a game with the Multiplayer Online Battle Arena or MOBA genre and this game genre is part of Action Real Time Strategy. This arcade mode game consists of brawl and magic chess. In magic chess mode, each player must arrange pawns in the form of heroes to create a strong synergy to defeat the opposing troops. In addition to synergy combos to manage playing strategies in Magic Chess, there are Line up heroes or hero ranks, to get synergy with 3 evolutions. The integer program can be used in designing a strategy for playing Magic Chess with the QM for Windows v5 application. Binary PBB. The objective function modeling minimizes the number of heroes used, the problem is the number of hero slots and synergies that players want, as well as the limiting value of the binary variables, namely when 0 heroes are not used or 1 when the hero is used, the solution obtained is the formulation to optimize Synergy with 3 Evolution.
Bridging the gap: Fostering high school students’ interest in civil engineering through an innovative introduction program Yuwono, Bambang Endro; Misshuari, Imas Wihdah; Zayadi, Ruwaida; Inavonna, Inavonna; Adiyanto, Moch Rifky; Wibawa, Ilham Akbar Mulya
Community Empowerment Vol 10 No 6 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.13141

Abstract

The low interest of high school students in civil engineering is a concern, as this field is crucial for infrastructure development. This community engagement program aimed to enhance the interest and understanding of civil engineering among students at SMAN 78 Jakarta through an innovative introductory program. The methods employed included interactive presentations on civil engineering, discussions, Q&A sessions, and evaluations. The results showed that 100% of students expressed a desire to learn more about civil engineering through follow-up activities, and 76.9% of students reported a better understanding of the field compared to before. Furthermore, 65.4% of students demonstrated increased interest in civil engineering, although the majority still placed it as a second or lower-choice major. The implications of this community service activity are increased awareness and interest among students in the field of civil engineering. However, to achieve a more significant shift in major selection, a more comprehensive approach is needed, such as more intensive career guidance, direct involvement with professionals, and more realistic work simulations.
EXTREME RAIN AND FLOOD RISK: CAN WE SEE IT COMING? Misshuari, Imas Wihdah; Wulandari, Ratri; Bin Salim, Mohd Razman
INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD) Vol 8 No 1 (2025): INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/cesd.v8i1.24138

Abstract

Climate change has significantly altered rainfall patterns, increasing the frequency of extreme rainfall events that have a major impact on infrastructure resilience and water resource management. This study aims to predict the recurrence period of extreme rainfall in Asahan Regency, North Sumatra, using the Gumbel distribution. The data used is annual maximum rainfall. The data was sorted, and its probability was calculated using the Weibull formula, then converted to Gumbel-z values. These values were used in a linear regression model to determine the location (μ) and scale (β) parameters of the distribution. The calculations were performed manually and using Python to ensure accuracy. The analysis results showed a strong negative correlation between maximum rainfall and Gumbel values, with R² = 0.742, indicating the reliability of the model in predicting extreme events. The Gumbel distribution proved to be effective in estimating the recurrence period of extreme rainfall. These findings offer vital perspectives on disaster mitigation, infrastructure planning, and sustainable water management in Asahan Regency. This predictive model plays an important role in hydrological planning and flood risk reduction in the region.
APPLICATION OF ARIMA METHOD FOR RAINFALL FORECASTING IN ASAHAN REGION Misshuari, Imas Wihdah; Kurniyaningrum, Endah; Saily, Randhi
INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD) Vol 6 No 2 (2023): INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/cesd.v6i2.18815

Abstract

Rainfall forecasting plays a crucial role in disaster risk management and water resources management in urban areas such as Asahan, North Sumatera. This research explores the application of ARIMA (AutoRegressive Integrated Moving Average) model as a forecasting method to predict rainfall in Asahan, North Sumatera. Historical rainfall data from relevant meteorological stations were collected and used as the basis for developing the forecasting model. The ARIMA method involves identification, estimation, and diagnostic steps. A series of statistical analyses were conducted to determine the degree of autoregression (p), the time series that need to be integrated (d), and the degree of moving average displacement (q). The resulting ARIMA model was then tested on test data to evaluate forecasting accuracy. At this station, the accuracy is 50%, which means that rainfall forecasting at this station when using ARIMA(1,1,1) is quite accurate.
ANALISIS RISIKO KEMATIAN PENDERITA HIV/AIDS MENGGUNAKAN MODEL SURVIVAL WEIBULL misshuari, imas wihdah; wulandari, ratri
Relevan : Jurnal Pendidikan Matematika Vol 5 No 6 (2025): Relevan : Jurnal Pendidikan Matematika
Publisher : Yayasan Amanah Nur Aman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58432/relevan.v5i6.1700

Abstract

HIV/AIDS merupakan penyakit menular yang masih menjadi masalah kesehatan global karena jumlah kasus dan kematian yang cukup tinggi setiap tahun. Analisis survival digunakan untuk mempelajari waktu hingga terjadinya suatu kejadian, seperti kematian. Penelitian ini bertujuan menganalisis peluang bertahan hidup dan risiko kematian pada kasus HIV/AIDS menggunakan distribusi Weibull dengan pendekatan Bayesian. Data yang digunakan berupa jumlah kasus HIV, AIDS, dan kematian pada periode 2019–2023. Analisis dilakukan dengan metode Markov Chain Monte Carlo (MCMC) menggunakan perangkat lunak Python dan pustaka PyMC. Hasil estimasi menunjukkan nilai parameter shape sebesar 0,15 dan parameter scale sebesar 8,05. Nilai tersebut menunjukkan bahwa risiko kematian menurun seiring bertambahnya waktu. Fungsi survival menunjukkan peluang bertahan hidup yang menurun secara bertahap dari waktu ke waktu, dari nilai awal 1 menjadi sekitar 0,356 pada waktu ke-10. Hasil penelitian menunjukkan bahwa distribusi Weibull dengan pendekatan Bayesian cukup baik digunakan untuk memodelkan data survival pada kasus HIV/AIDS. ABSTRACT HIV/AIDS is a contagious disease that remains a global health problem due to the high number of cases and deaths each year. Survival analysis is used to study the time until an event occurs, such as death. This study aims to analyze survival rates and mortality risks in HIV/AIDS cases using Weibull distribution with a Bayesian approach. The data used consisted of the number of HIV, AIDS, and death cases in the 2019–2023 period. The analysis was performed using the Markov Chain Monte Carlo (MCMC) method with Python software and the PyMC library. The estimation results showed a shape parameter value of 0.15 and a scale parameter value of 8.05. These values indicate that the risk of death decreases over time. The survival function shows a gradual decline in the probability of survival over time, from an initial value of 1 to approximately 0.356 at time 10. The results of the study indicate that the Weibull distribution with a Bayesian approach is quite suitable for modeling survival data in HIV/AIDS cases.
Co-Authors Adhi Kurniawan, Mochamad Adiyanto, Moch Rifky Amin Rais Arief Firmansyah Bambang Endro Yuwono Bin Salim, Mohd Razman Chairunnisah . . Difa Faluty, Mutiara Dwiki Komara, Kresna Endah Kurniyaningrum Inavonna, Inavonna Jovian Dian Pratama Liana Herlina Primahessa, Angga Randhi Saily Ratri Wulandari Ratri Wulandari Wulandari Wibawa, Ilham Akbar Mulya Zayadi, Ruwaida