Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

12.309

P-Index

This Author published in this journals

Riri Syafitri Lubis

Universitas Islam Negeri Sumatera Utara, Medan, Indonesia

Author-ID : 3325332

Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 94 Documents Claim Missing Document

Claim Missing Document

Articles

2 3 4 5 6

Completion of CVRP with a Combination of Sweep and Local Search Algorithms (Case Study: PT. AJW) Zakaria Alfikri Sirait; Riri Syafitri Lubis
Numerical: Jurnal Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2023)
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/numerical.v7i1.3446

AJW is a consumer goods distribution company for Indofood products and non-Indofood products. PT. AJW moves throughout Karo district. The number of tourist attractions in Karo makes the demand for goods higher such as Pop noodles, Indomie, chitato and others. Thus, having an impact on the distribution of goods Based on the author's observations at PT. AJW Kabanjahe has no standard provisions in determining the route, the delivery of goods is still carried out based on requests from consumers so that it ignores the distance traveled and time. A way that can solve this distribution problem is the Capacitated Vehicle Routing Problem (CVRP). CVRP is a problem in determining the optimal route by looking at the problem that each vehicle has a capacity limit. To solve CVRP problems, a good heuristic algorithm is used is the sweep algorithm and local search route improvement. This study uses the sweep algorithm to solve the CVRP problem, and the routes obtained by the sweep algorithm will be improved with local search. The sweep algorithm is a simple method of calculation, even for calculating large problems. The sweep algorithm will be combined with local search. Local search is an algorithm used to get shorter routes. The combination of the two algorithms is perfect for solving CVRP problems. After research, a distance of 39.96 km was obtained compared to the company's route of 103.5 km. So the percentage of mileage savings is 61.39%. This shows that sweep algorithms can minimize distance while saving company expenses

PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS VIDEO Indah Kholila; Rusydi Ananda; Riri Syafitri Lubis
Algebra : Jurnal Pendidikan, Sosial dan Sains Vol 1 No 4 (2021): Algebra : Jurnal Pendidikan, Sosial, dan Sains
Publisher : Yayasan Amanah Nur Aman

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

Penelitian ini bertujuan untuk melihat proses pembuatan video pembelajaran berdasarkan model ADDIE, melihat tingkat kevalidan, dan keefektifan dari media pembelajaran berbasis video pada materi sistem persamaan linear tiga variabel. Penelitian ini termasuk penelitian dan pengembangan (research and development). Penelitian ini menggunakan model pengembengan ADDIE dengan 5 tahapan, yaitu analysze (analisis), design (desain), development (pengembangan), implementation (implementasi), evaluation (evaluasi). Subjek pada penelitian ini yaitu peserta didik di kelas X IPA-1 SMA Swasta Ira Medan yang berjumlah sebanyak 20 peserta didik. Instrumen pada penelitian ini menggunakan angket untuk melihat kevalidan oleh dosen ahli media dan ahli materi dan tes hasil belajar peserta didik untuk melihat keefektifan dari media yang dikembangkan. Hasil penelitian ini menunjukkan bahwa tingkat kevalidan dari media pembelajaran berdasarkan ahli media sebesar 82,69% dengan kategori sangat layak dan ahli materi sebesar 91,67% dengan kategori sangat layak sehingga media pembelajaran dikatakan valid. Sedangkan untuk tingkat keefektifan berdasarkan presentase ketuntasan belajar secara klasikal sebesar 85% dengan hasil indeks Gain Ternormalisasi 0.34 yang tergolong sedang. Kata kunci : Pengembangan media pembelajaran; powToon; ADDIE. Abstract This study aims to see the process of making learning videos based on the ADDIE model, to see the level of validity, and effectiveness of video-based learning media on the material of a three-variable linear equation system. This research includes research and development (research and development). This study uses the ADDIE development model with 5 stages, namely analysis, design, development, implementation, evaluation. The subjects in this study were students in class X IPA-1 SMA Ira Medan, which amounted to 20 students. The instrument in this study used a questionnaire to see the validity of the media expert lecturers and material experts and test student learning outcomes to see the effectiveness of the developed media. The results of this study and the level of validity of the learning media based on media experts is 82.69% with a very feasible category and 91.67% material experts with a very feasible category so that the learning media is said to be valid. Meanwhile, the level of effectiveness based on the percentage of classical learning completeness is 85% with the Normalized Gain index of 0.34 which is classified as moderate. Keywords: Development; Learning media; PowToon; ADDIE.

Solusi Numerik Model Verhulst Pada Estimasi Hasil Panen Melalui Perkembangan Produksi Padi dan Beras dengan Metode Milne-Simpson Dimas Bagus Arjuna; Riri Syafitri Lubis
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4857

The aim of this research is to develop a numerical solution using the Verhulst model to estimate paddy and rice production in North Sumatra. The Milne-Simpson method is used in this research to provide an efficient numerical approach in solving the model, with the aim of increasing the accuracy and effectiveness of estimating rice plant growth and rice production in the North Sumatra region through a systematic and computational approach. In this research, the Milne-Simpson method is used to estimate paddy and rice production results in the following year. The results show that the estimated rice production in North Sumatra Province is 2,086,590.76 tons in 2023 and 2,098,149 tons in 2024. Meanwhile, the estimated rice production in North Sumatra Province is 1,198,678.38 tons in 2023 and 1,207,384 tons in 2024. The results of this research also show that every year rice production increases by an average of 13,430 and rice production increases by an average of 8,254. Therefore, it can be seen that the estimated paddy and rice production in North Sumatra Province for 2023-2024 has increased.

APPLICATION OF DYNAMIC PROGRAMMING IN DETERMINING THE SHORTEST ROUTE PT JNE USING BACKWARD RECURSIVE EQUATION Maudya Nur Azura; Riri Syafitri Lubis
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 9 No 1 (2024): July
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v9i1.5982

Technological progress speeds up human movement, the distribution of goods, and service provision. PT JNE, a prominent firm in Indonesia, concentrates on delivering goods swiftly and with comprehensive services.. On the other hand, problems include daily changes in delivery, delays, less than optimal routes, and expensive gasoline. The shortest ideal route for the transportation of products is found using dynamic programming and a backward recursive equation technique in this study. The Medan Belawan District as well as the JNE Medan Representative Office provided the data that was used. The findings show that a route of a → f → d → c → g → b → e → h → a is the ideal total distance for goods delivery using a dynamic programming graph is 12,2 km, with an average courier covering 16,5 km. Based on data analysis, this shows a 26% increase in efficiency over the current routes. The layout of the routes makes it easier for couriers to choose the fastest route.

The Effect of Intellectual Intelligence (IQ) and Emotional Intelligence (EQ) on Student Mathematics Learning Outcomes Rizky Mulyani; Riri Syafitri Lubis
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 12, No 2: April 2024
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v12i2.11225

It will be possible to determine whether the learning objectives have been achieved by assessing the learning outcomes. In addition to intellectual intelligence, emotional intelligence is another factor that determines students' learning outcomes. This study aimed to determine how intellectual intelligence (IQ) and emotional intelligence (EQ) influence the mathematics learning outcomes of grade XI students of MAS TPI Sawit Seberang. Based on the hypothesis proposed, intellectual intelligence (IQ) and emotional intelligence (EQ) influence the mathematics learning outcomes of grade XI students of MAS TPI Sawit Seberang. The type of research used is quantitative research with an ex post facto method. The research instruments were an intellectual intelligence (IQ) questionnaire of 15 statements, an emotional intelligence (EQ) questionnaire of 22 valid statements, and odd semester student math report cards as data on student math learning outcomes. The data analysis techniques used were descriptive statistical analysis, prerequisite tests, and hypothesis testing. The research findings are that 62.5% of students have high-category intellectual intelligence, 72.73% have moderate-category emotional intelligence, and 98.86% have very high-category math learning outcomes. From the results of the research that has been done, the researchers draw several conclusions: (1) Intellectual intelligence (IQ) influences the mathematics learning outcomes of XI grade students of MAS TPI Sawit Seberang. (2) emotional intelligence (EQ) influences the mathematics learning outcomes of XI grade students of MAS TPI Sawit Seberang. (3) There is an effect of intellectual intelligence (IQ) and emotional intelligence (EQ) simultaneously on the mathematics learning outcomes of XI grade students of MAS TPI Sawit Seberang. Furthermore, it is expected to conduct research with other variables to determine the effect of other variables on math learning outcomes. In addition, a more sustainable testing method, such as testing conducted periodically during the student's learning year, should be used. This method will help more comprehensively and accurately determine the relationship between IQ, EQ, and student math learning outcomes.

Optimization of Rice (Oryza sativa) Crop in Simalungun District using Quadratic Programming Wolfe Model and Exterior Penalty Function Method Wulandari Wulandari; Riri Syafitri Lubis
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 12, No 1: January 2024
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v12i1.10377

Optimization is a way of optimizing the objective function while still paying attention to existing constraints. The aim of this research is to form a mathematical model to optimize the average production of lowland and field rice in Simalungun Regency and to complete the model using Wolfe model quadratic programming and the exterior penalty function method. The mathematical model in this research is a nonlinear model created using the least squares method. Quadratic programming solves nonlinear problems by turning them into linear problems using the Kuhn Tucker condition and linear problems are solved using the Wolfe model. Meanwhile, the exterior penalty function method solves limited (constrained) nonlinear problems into unlimited (unconstrained) nonlinear problems. Based on the calculations of the two methods, optimal results were obtained for both the Wolfe quadratic programming model and the exterior penalty function method, where the average production of wetland and field rice in Simalungun Regency was 203.1925 tonnes with a wetland rice harvest area of 90.077 hectares and a field rice harvest area of 13.092. hectare. Optimization testing using this algorithm can be used as a basis for related parties such as the community and government in developing productivity. The implication of this research is an increase in harvested area and average rice production, in this case maintaining productivity stability.

Penerapan Model SIRV Penyebaranpenyakit Mulut Dan Kuku Pada Hewan Ternakdi Sumatera Utara Nasution, Dafa Al Qifti; Widyasari, Rina; Lubis, Riri Syafitri
Justek : Jurnal Sains dan Teknologi Vol 6, No 4 (2023): Desember
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v6i4.20314

Abstract: The aim of the research is to apply a mathematical model of the spread of infectious diseases aimed at livestock by analyzing the stability of being free from Foot and Mouth Disease in livestock and knowing the implementation of the simulation results of the model. The method used in this applied research is the Action Research method which is used to test, develop and create new actions. This type of research is quantitative which aims to test hypotheses through data collected in accordance with previous concepts. Model for the spread of FMD, obtained by the SVIEPR model where the model is divided into 6 compartments, namely: susceptible compartment (S), vaccinated compartment (V), infected compartment (I), latent compartment (E), quarantined livestock compartment (Q), and recovered compartment. (R). the results of equilibrium point stability analysis and numerical simulations show that the disease will disappear if and the disease will persist if . So the step that can be taken to prevent the disease from becoming an epidemic is to reduce contact between susceptible individuals and (????). being infected increases the rate of individuals being vaccinated (????) and the rate of isolation after vaccination (α). Abstrak: Tujuan penelitian menerapkan model matematika penyebaran penyakit menular yang ditujukan pada hewan ternak dengan menganalisis kestabilan bebas Penyakit Mulut dan Kuku pada hewan ternak dan mengetahui implementasi hasi simulasi model tersebut. Metode yang di gunakan pada penelitian terapan ini yaitu metode Penelitian Tindakan (Action Research) yang digunakan untuk menguji, mengembangkan dan menciptakan tindakan baru. Jenis penelitian ini yaitu kuantitatif yang bertujuan untuk menguji hipotesa melalui data-data yang terkempul sesuai dengan konsep sebelumnya. Model penyebaran PMK, diperoleh model SVIEPR dimana model dibagi atas 6 kompartemen yaitu: kompartemen rentan (S), kompartemen divaksinasi (V), kompartemen terinfeksi (I), kompartemen laten (E) kompartemen melaksanakan Hewan ternak dikarantina (Q), dan kompartemen sembuh (R). hasil analisis kestabilan titik ekuilibrium dan simulasi numerik diperoleh bahwa penyakit akan hilang jika dan penyakit akan menetap jika . Sehingga langkah yang dapat dilakukan supaya penyakit tidak menjadi wabah adalah dengan mengurangi kontak antar individu rentan dengan (????). terinfeksi meningkatkan laju individu yang divaksinasi (????) dan laju pelaksanaan isolasi sesudah divaksinasi (α).

Penggunaan Metode Classification Analysis Regression Trees dan Iterative Dichotomizer 3 Dalam Mengklasifikasikan Pasien Hipertensi Di Rumah Sakit Umum Daerah Dr. Pirngadi KotaMedan Yulinda, Jeni; Syafitri Lubis, Riri; Aprilia, Rima
Justek : Jurnal Sains dan Teknologi Vol 6, No 4 (2023): Desember
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v6i4.20199

Abstract: Hypertension is a deadly disease wihtout any symptoms. The high cases of hypertension in Indonesian poses a challenge for health development in Indonesia because treating people with hypertension takes a long time and costs a lot. To find out the factors that influence hypertensive patients and reduce the death rate, an intelligent system is needed to classify hypertensive patients early. The methods used for Classification Analysis Regression Trees and Iterative Dechotomizer 3. The results of this study show that the Classification Analysis Regression Trees method produces an accuracy of 93,75%. Meanwhile, the Iterative Dechotomizer 3 method produces a low accuracy of 87,5%. So the Classification Analysis Regression Trees method is better at classifying hypertensive patients than the Iterative Dichotomizer 3 method. Variables that effect it are produced by the classification analysis regression trees method namely diastolic blood pressure and iterative dichotomizer 3 namely heredity as parent node.Abstrak: Hipertensi merupakan salah satu penyakit yang mematikan tanpa disertai gejala. Tingginya kasus hipertensi di Indonesia menyebabkan tantangan bagi pembangunan kesehatan di Indonesia karena perawatan penderita hipertensi membutuhkan waktu yang lama dan biaya yang tidak sedikit. Untuk mengetahui faktor yang mempengaruhi pasien hipertensi serta mengurangi angka kematian diperlukan sistem cerdas untuk mengklasifikasikan pasien hipertensi secara dini. Metode yang digunakan untuk pengklasifikasian yaitu Classification Analysis Regression Trees dan Iterative Dichotomizer 3. Adapun hasil dari penelitian ini diperoleh bahwa metode Classification Analysis Regression Trees menghasilkan akurasi sebesar 93,75%. Sedangkan metode Iterative Dichotomizer 3 menghasilkan akurasi yang rendah yaitu 87,5%. Sehingga Metode Classification Analysis Regression Trees lebih baik dalam mengklasifikasikan pasien hipertensi dibandingkan metode Iterative Dichotomizer 3. Variabel yang mempengaruhinya yang dihasilkan oleh metode Classification Analysis Regression Trees yaitu tekanan darah diastolik dan Iterative Dichotomizer 3 yaitu Keturunan sebagai parent node.

Penerapan Model Markov Pada Perkembangan Penyakit HIV/AIDS di Kota Medan Dara Nurul Hasnah; Riri Syafitri Lubis; Rina Widyasari
SAINTIFIK Vol 10 No 2 (2024): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v10i2.501

HIV/AIDS merupakan salah satu penyakit menular yang menjadi perhatian khusus oleh pemerintah di seluruh dunia, termasuk Indonesia. Di Indonesia, Khususnya Kota Medan, Penyakit HIV/AIDS terjadi peningkatan. Sehingga, target pemerintah dalam mencapai Three Zero HIV/AIDS 2030 semakin jauh. Oleh karena itu, diperlukan suatu persiapan dengan cara memperhatikan setiap transisi dari waktu ke waktu. Untuk melakukan persiapan tersebut dapat menggunakan model Markov. Model Markov merupakan model stokastik yang digunakan pada suatu sistem yang berubah secarak acak di setiap keadaan yang berbeda. Tujuan dari penelitian ini ialah untuk mengetahui perkembangan penyakit HIV/AIDS dalam 8 tahun kedepan menuju tahun 2030. Penelitian ini menggunakan data sekunder perkembangan penyakit HIV/AIDS yaitu data HIV/AIDS, data ODHA On ART dan data meninggal pada tahun 2019 hingga tahun 2022 di Kota Medan. Dari hasil penelitian yang diperoleh, peluang transisi yang diperoleh pada tahun pertama, state HIV/AIDS memperoleh peluang sebesar , state HIV/AIDS menuju ODHA On Art sebesar , state HIV/AIDS menuju keadaan meninggal sebesar dan pada keadaan ODHA ON ART menuju keadaan meninggal cukup tinggi yaitu sebesar , ini diakibatkan adanya penderita HIV/AIDS yang tidak patuh dalam menggunakan terapi ARV dan meningkatkan resiko kematian.

Penerapan Geographically Weighted Zero-Inflated Poisson Regression pada Jumlah Kasus Tuberkulosis di Provinsi Sumatera Utara Khairun Nikmah; Riri Syafitri Lubis; Ismail Husein
SAINTIFIK Vol 10 No 2 (2024): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v10i2.502

Tuberkulosis adalah penyakit menular yang disebabkan oleh infeksi dari bakteri Mycrobacterium Tuberculosis yang masuk kedalam paru-paru dan mengakibatkan penderita mengalami gangguan sesak napas yang disertai dengan batuk terus menerus.. Perbedaan karakteristik geografis, ekonomi, sosial dan budaya antar lokasi menyebabkan penyebaran covid-19 semakin luas. Penelitian ini bertujuan untuk melihat faktor pengaruh jumlah kasus tuberkulosis di setiap kabupaten/kota menggunakan metode GWZIPR, dimana merupakan pengembangan dari metode GWR dan ZIP. Hasil penelitian menunjukkan bahwa faktor-faktor yang berpengaruh terhadap kasus tuberkulosis di setiap kab/kota terbagi menjadi 1 kelompok berdasarkan variabel signifikan pada model log (poisson state) dan logit (zero state) yaitu semua variabel signifikan pada model log dan logit tersebar di 33 kab/kota yaitu variabel persentase kepadatan penduduk, persentase jumlah puskesmas, persentase jumlah dokter, persentase penduduk miskin dan persentase tenaga perawat.

Co-Authors Adisty, Fahliza Ahmad Sugarda Ainun Palihah Alfina Febriani Nasution Anggi Pranata Annisa Fadhliyah Annisa, Nur Alvi Aprilia, Rima Aslam, Fazri Aulia Turrizqiya Batu, Annisa Rajaq Lumban Batubara, Fikri Husin Bella Syahrani Nasution Blaster, Irena Br Siahaan, Erika Handayani Cynthia, Mayang Modelina Dara Nurul Hasnah Dian Darmawan Didik Santoso Didik Santoso Dimas Bagus Arjuna Dinda Renata Cecilia Dwi Haprida Ningsih Elma Dwi Ariana Aprilia Zam Fachrur Rozi Fadilatus Sahraini Siregar Fadillah, Yanna Rezki Fajriana, Fajriana Farwansyah, Mhd Rio Fatmawati, Ayu Isnaini Fernando, Anjas Fuja Nauli Pasaribu Giawa, Freddy Gishela Agra Moukia Gurusinga, Ditha Aulia Harleni, Harleni Harleni, Silvia Hasibuan, Elpita Sari Hazizah, Salsabillah Hendra Cipta Heni Pujiastuti Ilham Salim Siregar Ilham Syaputra Indah Kholila Indah, Windi Rezeki Ir Zulkarnain, Ayu Najmita Binti Irena Blaster Ismail Husein, Ismail Kartika , Dinda Khairun Nikmah Lisa Setia Ningsih Lyra Ananda M Agung Pradana Manurung, Silvi Khairiyah Maudya Nur Azura Mohammad Badri Muhammad Arfie Munawar Muhammad Farhan Mingka Muliawan, Hari Nadhila, Nurul Nasution, Dafa Al Qifti Nasution, Hamidah . Neliwati Neliwati Nenna Irsa Syahputri Nina Amanda nova audry utami Nurmadani Nurmawati Nurmawati Nurmawati Nurul Nadhila Nusantara, Badai Charamsar Oktaviana Oktaviana Palihah, Ainun Pertiwi, Fina Nur Pradana, M Agung Prasetya, Nurul Huda Pratiwi, Miftah Pulungan, Ahmad Fauzan Putri Harahap, Rahmelia Rahmat Darmawan, Rahmat Rakhmawati, Fibri Rambe, Muhammad Vikry Rezky Riani Dwi Lestari Ricka Afriani Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari, Rina Filia Rina Sari Filia Rina Widyasari Rina Widyasari Ritonga, Nurhalimah Rivani Kabrina Br Surbakti Rizkina, Ayu Rizky Mulyani Ropiqoh, Ropiqoh Ropiqoh, Ropiqoh Rusydi Ananda Ruth Mayasari Simanjuntak Sahraini Siregar, Fadilatus Sajaratud Dur Samsudin, Samsudin Sari, Evi Indah Sintia Agustina Siregar Siregar, Evi Borliana Siregar, Evi Borliana Siregar, Fadilatus Sahraini Siregar, Tanti Jumaisyaroh Siti Jubaidah Siti Rolizah Pohan Siti Zunaida Nasution Suci Permata Sari Suendri, Suendri Sulaiman Ananda Harahap Supiah Supiah Susanti, Komaria Susilowati, Rahmi Suzana, Yenny Syafitri, Ellysa Syahfitri, Fatharani Syahputra, Bayu Teza Syahputri, Linna Syahputri, Nenna Irsa Syarah, Fatmah Tanti Jumaisyaroh Siregar Tri Handayani Tri Lutfiah Wardah Turrizqiya, Aulia Utami, Ristika Dian Vani Hajari Wenny Marta Dolok Saribu Widyasari, Rina Widyasari, Rina Windi Rezeki Indah Wulandari Wulandari Wulandari, Mitha Yahfizham Yahfizham Yoffa Sunita Yulanda Novita Zebua Yulinda, Jeni Zakaria Alfikri Sirait

Title

Found 94 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 94 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 94 Documents
Search