Claim Missing Document
Check
Articles

ANALYSIS OF THE EFFECTIVENESS OF PB DJARUM ADVERTISING SCHOLARSHIP USING THE EPIC METHOD IN 2020 Abdul Muis, Muhammad; Juhari, Juhari; Rachmawati, Mila
Dinasti International Journal of Management Science Vol. 2 No. 3 (2021): Dinasti International Journal of Management Science (January - February 2021)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijms.v2i3.693

Abstract

This study aims to analyze about strategy effectivity of Empathy, Persuasion, Impact, and Communication (EPIC) PB Djarum. The used research methodology is a qualitative descriptive method with cross-section and primary data obtained from questionnaires, which is subsequently processed in the form of presentation of tables and charts. The used mechanical sampling is a purposive sampling method from data in 2020. The use of data analysis is using score calculation of EPIC method and calculation of effectivity level of it. The results of this study show that the variable Empathy score was 3.32 which is within the range of effective scale, variable Persuasion result of 3.26 is within the range of effective scale, variable Impact obtained a yield of 3.11 which is within the range of effective scale, Communication variables obtained results of 2.99 which is within the range of effective scale. These results indicate that strategy in the promotion of PB Djarum using EPIC method is effective as media promotion of PB Djarum. The overall value of empathy, persuasion, impact, communication on the EPIC rate is 3.17. It means the EPIC method is effective in promoting the films that will be shown at PB Djarum and can be used as one of the marketing tools.
Klasifikasi Preeklampsia pada Ibu Hamil menggunakan Algoritma KNN Tunggal Saputra, Tri Aji; Juhari, Juhari; Triyono, Gandung
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 12 (2024): JPTI - Desember 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.514

Abstract

World Health Organization (WHO) pada tahun 2020 mengatakan angka kematian ibu (AKI) didunia sebanyak 227.22 per 100.000 kelahiran hidup, penyebab kematian ibu hamil secara langsung salah satunya disebabkan oleh Preeklampsia. Preeklampsia adalah suatu penyakit yang dialami oleh ibu hamil yang ditandai dengan adanya tanda-tanda hipertensi (tekanan darah tinggi), eodema (pembengkakan), dan proteinuria (kadar protein dalam urin meningkat. Pada salah satu rumah sakit swasta di Cikarang kasus preeklamsia setiap tahunnya mengalami peningkatan, Rata-rata persentase peningkatan jumlah  pasien Preeklamsia dari tahun 2020 hingga 2022 sekitar 17,5% per tahun. Hal itu terjadi dikarenakan ibu hamil tidak menyadari ketika dirinya mengidap penyakit preeklamsia.Tanda-tanda awal preeklamsia hampir sama dengan penyakit hipertensi. Penelitian ini bertujuan untuk membuat model diagnosis penyakit preeklamsia. Harapannya model ini bisa sebagai Alat bantu self diagnoses, untuk deteksi awal penyakit preeklamsia agar bisa mencegah terjadinya penyakit Eklampsia yang dapat lebih membahayakan nyawa ibu dan janin. Dalam penelitian ini, beberapa skenario eksperimen diterapkan dengan mengubah jumlah tetangga terdekat (nilai K) untuk mengoptimalkan akurasi model nilai K yang berbeda beda, sehingga didapatkan hasil klasifikasi yang maksimal terdapat pada jumlah nilai K =3 dan K=5 dengan pemabagian data traing dan data testing 90:10 mendapatkan hasil akurasi 97%, sedangkan hasil klasifikasi terendah didapatkan pada pembagian data 50:50 untuk nilai K=9 sebesasr 84%.
Optimal Control of a Modified Mathematical Model of Social Media Addiction Juhari, Juhari; Alisah, Evawati; Safitri, Alisa Ayu; Sujarwo, Imam
InPrime: Indonesian Journal of Pure and Applied Mathematics Vol 6, No 2 (2024)
Publisher : Department of Mathematics, Faculty of Sciences and Technology, UIN Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/inprime.v6i2.41438

Abstract

This research investigates the application of optimal control in the Susceptible, Exposed, Addicted, Recovery, Quit (SEA_1 A_2 RQ) model to address social media addiction. The primary objective is to develop an effective control strategy to reduce the prevalence of social media addiction. The methodology employs Pontryagin's maximum principle to formulate the optimal control problem, incorporating two time-dependent control variables: control (u_1) and treatment (u_2). The optimal control model is numerically simulated using the 4th-order Runge-Kutta method. Comparative analysis of the simulation results, with and without control, demonstrates significant differences in all population groups after four years. The findings reveal that implementing control (u_1) and treatment (u_2) markedly decreases the number of individuals addicted to social media, highlighting the efficacy of the proposed strategy in mitigating social media addiction.Keywords: Optimal control; Social media addiction model; Pontryagin maximum principle. AbstrakPenelitian ini mengkaji penerapan kontrol optimal pada model Susceptible, Exposed, Addicted, Recovery, model Quit (SEA_1 A_2 RQ)  untuk menangani kecanduan sosial media. Tujuan utama penelitian ini adalah untuk mengembangkan strategi kontrol yang efektif untuk mengurangi jumlah individu yang mengalami kecanduan media sosial. Metodologi penelitian ini menggunakan prinsip maksimum Pontryagin untuk merumuskan masalah kontrol optimal, yang menggabungkan dua variabel kontrol bergantung pada waktu: pengendalian (u_1) dan pengobatan (u_2). Model kontrol optimal disimulasikan secara numerik menggunakan metode Runge-Kutta orde 4. Analisis komparatif dari hasil simulasi, dengan dan tanpa kontrol, menunjukkan perbedaan yang signifikan pada semua kelompok populasi setelah empat tahun. Temuan tersebut mengungkapkan bahwa penerapan pengendalian (u_1) dan pengobatan (u_2) secara signifikan mengurangi populasi pengguna kecanduan sosial media, yang menyoroti kemanjuran strategi yang diusulkan untuk mengurangi kecanduan sosial media.Kata Kunci: Kontrol optimal; Model kecanduan media sosial; Prinsip maksimum Pontryagin. 2020MSC: 49N90, 91D10, 92B05.
Utilization of Red Mud and Biofertilizer for Peat Quality Improvement and Its Effect on the Growth and Production of Hybrid Corn Juhari, Juhari; Iskandar, Iskandar; Santosa, Dwi Andreas
Agrikultura Vol 35, No 3 (2024): Desember, 2024
Publisher : Fakultas Pertanian Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/agrikultura.v35i3.59075

Abstract

Peatlands are suboptimal lands that can be improved its quality to be used for agricultural cultivation. One of which is by using red mud and biofertilizer. Red mud, a by-product of bauxite processing, is widely available in West Kalimantan. Red mud has high pH, electrical conductivity, exchangeable sodium and base saturation. Biofertilizers are products containing selected microorganisms that can help enhance plant growth and yield. This study aims to examine the effects of red mud and biofertilizer applications on peat quality improvement and their impact on the growth and yield of hybrid corn. The experiment was arranged in a randomized block design (RBD) with two factors. The first factor was red mud with three dosage levels: control (l0), 6 tons/ha (l1), and 12 tons/ha (l2). The second factor was biofertilizer with three types: control (p0), Mycofer at 10 g/plant (p0), and Provibio at 10 ml/l (p2). The results showed that red mud at a dose of 12 tons/ha significantly affected soil pH, electrical conductivity, plant growth, and hybrid corn yield. The interaction of 12 tons/ha red mud and Provibio biofertilizer significantly increased sodium content and achieved the highest uptake of phosphorus, potassium, calcium, and magnesium.
Pengembangan Algoritma A-Star dengan Penyesuaian Heuristik untuk Pencarian Rute Optimal Sukroni, Achmad Faiz; Juhari, Juhari; Nasichuddin, Achmad
Jurnal Riset Mahasiswa Matematika Vol 4, No 2 (2024): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i2.31208

Abstract

The The A-Star algorithm is one of the most popular shortest route search algorithms due to its effectiveness in finding optimal solutions. This study focuses on modifying the A-Star algorithm to improve its performance in optimizing the shortest route. The study was conducted by comparing the standard A-Star algorithm and its modified version based on the number of iterations required to reach the optimal solution. The assessment was carried out manually and through a computer program using sample data from tourist locations in Blitar as a case study. The results of the analysis in 20 comparative experiments showed that the modified A-Star algorithm was able to minimize the number of iterations by up to 32% compared to the standard A-Star algorithm. This finding indicates that the modifications made to the A-Star algorithm can increase efficiency without reducing the accuracy of the results. This study provides an important contribution to the development of shortest route search algorithms, especially in their application to the tourism sector and navigation systems.
Penerapan Metode Fuzzy Weighted Product dalam Pengambilan Keputusan Penerima Kartu Jakarta Pintar SDN Lubang Buaya 11 Pagi Jakarta Timur shidieq, faris majdie; Turmudi, Turmudi; Juhari, Juhari
Jurnal Riset Mahasiswa Matematika Vol 4, No 2 (2024): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i2.30254

Abstract

Fuzzy Multi-Attribute Decision Making (FMADM) is a helpful method in decision support systems, as it is used to identify the best options among several options that meet the selected requirements. Fuzzy Weighted Product (FWP) is a method found in the FMADM method. The FWP method uses the concept of sorting by multiplying  the criterion rating, whose weight is the power of each of the criterion values. The purpose of this study is to apply the FWP method in determining KJP recipients. The stages in the FWP method started from the decision-making criteria of 191 students which included a lot of parental income, parental employment, vehicle ownership, and many dependents. Furthermore, the data is processed using the fuzzy system  and after that the application of the FWP method to perform further calculations. The stages are determining the weight and match rating, transforming the data, calculating the value of alternative preference (S), and the relative value of alternative (V). The best results are determined by the highest relative preference value. The results can be used for decision-making for KJP recipients at SDN Lubang Buaya 11 Pagi East Jakarta and help overcome underprivileged students in school fees.
Pelatihan Penyusunan Bahan Ajar Berbasis Multimedia Bagi Guru-Guru Yayasan Ali Imron Pakamban Sumenep Jauhari, Mohammad Nafie; Juhari, Juhari; Jamhuri, Mohammad
JRCE (Journal of Research on Community Engagement) Vol 2, No 1 (2020): Journal of Research on Community Engagement
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrce.v2i1.10333

Abstract

Learning media is a useful tool and intermediary for facilitating the teaching and learning process to streamline communication between teachers and students. This community service activity is divided into three main activities, namely the delivery of concepts or theories of multimedia, types of multimedia, the use of multimedia, and making presentations using practical and interactive PowerPoints tools; second, training on how to use PowerPoint effectively; and third, evaluation on the ability of training participants in making multimedia-based teaching materials.
Optimalisasi Pengolahan Cabai Menjadi Chili Oil Untuk Meningkatkan Pendapatan Kelompok Wanita Tani Reza, M. Aulia; Dwi N, M. Zaky; Nur’azkia R, Nazwa; Zakariya, Husni; Alianda W, Najwa; Yuri Is, Manaf; Dilla, Diva Fara; Putri, Inanda; Aditya, M. Ircham; Lestari, Wahyu Tri; Juhari, Juhari
Prosiding Seminar Nasional Program Pengabdian Masyarakat Vol. 8 No. 1 (2025): Rekonstruksi Pendidikan di Indonesia
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.81.1367

Abstract

The community service program in Japanan Hamlet aims to optimize the processing of chili into chili oil products in order to increase the income of the Women Farmers Group (KWT). The local community, who are mostly farmers, often face challenges in utilizing the chili harvest optimally. In order to achieve this goal, this community service activity is carried out through several stages, namely problem identification, solution planning, and program implementation. The methods used in this community service are training and mentoring. The training program includes chili processing techniques, packaging that meets food safety standards, and digital marketing strategies to increase the selling value of the product. The implementation is carried out interactively and based on practice, starting with socialization about the benefits of chili oil and continuing with direct practice. The results of this program show that KWT mothers have increased their knowledge and skills regarding the chili processing process, from selecting raw materials to the packaging stage. In addition, this program also improves the skills of KWT mothers regarding the use of social media and marketplaces as a means of marketing. Despite challenges such as a lack of initial understanding of digital marketing, the solution steps that have been implemented have succeeded in having a positive impact on KWT, which not only gained new knowledge and skills, but also increased their income through value-added products. Through synergy between students, the community, and universities, this activity is expected to provide a significant contribution to the economic welfare of the local community
Analisis Dinamik Model Matematika Pengaruh Kebijakan Pemerintah dan Pengembangan Keterampilan Terhadap Dinamika Pengangguran Akbar, Rizqi Ardika; Juhari, Juhari
Jurnal Riset Mahasiswa Matematika Vol 4, No 5 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i5.34712

Abstract

Penelitian ini mengembangkan model matematika dinamik untuk menganalisis pengaruh kebijakan pemerintah dan pengembangan keterampilan terhadap dinamika pengangguran, khususnya pengangguran struktural dan siklis. Model memuat lima kompartemen utama: pengangguran struktural, pengangguran siklis, tenaga kerja, keterampilan, dan kebijakan pemerintah. Dengan pendekatan sistem persamaan diferensial nonlinier dan metode Next Generation Matrix, diperoleh titik kesetimbangan serta bilangan reproduksi dasar. Hasil simulasi menunjukkan bahwa peningkatan intensitas kebijakan dan efektivitas pelatihan mampu menekan tingkat pengangguran secara signifikan. Temuan ini menekankan pentingnya intervensi kebijakan yang berkelanjutan dalam mengelola pasar tenaga kerja.
Uji Kausalitas Granger dalam Menganalisis Hubungan Indeks Pembangunan Manusia, Tingkat Pengangguran Terbuka, dan Kemiskinan Fatin Dzahabiy, Amirah Salsabila Syahirah; Harini, Sri; Juhari, Juhari
Jurnal Riset Mahasiswa Matematika Vol 4, No 4 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i4.30406

Abstract

Kesejahteraan sosial dan kualitas pembangunan suatu wilayah dapat diukur melalui beberapa indikator, termasuk Indeks Pembangunan Manusia (IPM), Tingkat Pengangguran Terbuka (TPT), dan tingkat kemiskinan Penelitian ini bertujuan untuk mengetahui bagaimana hubungan kausalitas antara IPM, TPT, dan kemiskinan dengan menggunakan alat analisis kausalitas granger. Data yang digunakan adalah data panel dari Kab/Kota di Jawa Timur selama periode waktu 2017-2023. Hasil dari analisis penelitian ini adalah terdapat kointegrasi antara IPM, TPT, dan tingkat kemiskinan yang mengindikasi adana hubungan jangka panjang yang stabil diantara ketiganya. Selain itu, terdapat hubungan kausalitas dua arah antara ketiga variabel tersebut. Penelitian ini memberikan kontribusi penting dalam perumusan kebijakan daerah,. Dengan memahami hubungan timbal balik anatar IPM, TPT, dan tingkat kemiskinan pemerintah dapat merancang kebijakan yang lebih terintegrasi seperti penciptaan lapangan pekerjaan atau program pemberdayaan masyarakat. Upaya tersebut diharapkan mampu meningkatkan kesejahteraan sosial dan mempercepat pertumbuhan ekonomi di wilayah Jawa Timur. 
Co-Authors A Rosa, Ramadani Abdul Aziz Adi Susilo Aditya, M. Ircham Adriani, Nurita Agung Teguh Wibowo Almais Agus Naba Akbar, Rizqi Ardika Akhadah, Sisilia Firda Laila Alghar, Muhammad Zia Alianda W, Najwa Andrean, Mohamad Febry Ardiansyah, Zidni Permana Ari Kusumastuti Arif, Weldy Az-Zahra, Aisyah Dhifa Dilla, Diva Fara DWI ANDREAS SANTOSA Dwi N, M. Zaky Erna Herawati, Erna Erny Octafiatiningsih, Erny Evawati Alisah Fajrin, Rahma Annisa Fatin Dzahabiy, Amirah Salsabila Syahirah Fauzi Fauzi Feby Ariyanti, Adelia Irma Fibrianto, Ary Fikrina, Zulfa Akfi Habibi, Khairul Hairur Rahman Hakim , Zainal Hasanah, Sofiatul Hidayati, Ummunisa Holanda, Sella Husna, Faridatul Imam Sujarwo Iskandar Iskandar Karinina, Olivia Kiswari, Dianing Kurnia, Silvi Kurniawan, Rony Setyo Lestari, Wahyu Tri Mahmuddin Mahmuddin Marzuki, Ahmed Syarief Meyliana, Ester Moechammad Sarosa Mohammad Isa Irawan Mohammad Jamhuri Mohammad Nafie Jauhari Mondal, Kartick Chandra Muhammad Khudzaifah Muis, Muhammad Abdul Mulyadi Mulyadi Nasichuddin, Achmad Nasir, Yusran Nur’azkia R, Nazwa Permata, Hendrik Widya Pranata, Farahnas Imaniyah Pratiwi, Alfrista Anggraini Puji Wianto, Wildan Faried Anshoriy Putri, Inanda Rachmawati, Mila Rahmadhani, Anis Putri Rasyidah, Jihan Fikri Reza, M. Aulia Ria Dhea Layla Nur Karisma Rika Dina Amalia, Dina Amalia Rossi Maunofa Widayat RR. Ella Evrita Hestiandari Safitri, Alisa Ayu Said Amirulkamar Sari, Fitri Nofita Sari, Silvi Puspita shidieq, faris majdie Siti Amiroch, Siti Sofia, Wise Ahmad Sri Harini Sukroni, Achmad Faiz Sutrisno, Sutrisno Syafi'ah, Nurus Taufik Iskandar Triyono, Gandung Tunggal Saputra, Tri Aji Turmudi Ulung Pribadi, Ulung Ulya, Diah Mariatul Usman Pagalay Utami, Febry Noorfitriana Vivi Aida Fitria Wahyuni, Diah Maghfiroh Yuliana, Rossima Eva Yuri Is, Manaf Zakariya, Husni Zufriady, Zufriady