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Filsafat dan Pendidikan : Kontribusi Pemikiran Islam dalam Pengembangan Karakter Raihan Difari; Muhammad Hisyam; Herlini Puspita Sari
IHSANIKA : Jurnal Pendidikan Agama Islam Vol. 2 No. 4 (2024): Desember : IHSANIKA : Jurnal Pendidikan Agama Islam
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/ihsanika.v2i4.1927

Abstract

This research aims to find out how much contribution Islamic thinkers have made in the field of character development and how big their influence is today. This research uses the library research method, namely the approach used to collect and analyze data from various literary sources such as books, journals and documents. The research results show that Islamic figures have made a major contribution to character development in the world of education. The results of the research show that Islam has a major contribution to character development in the world of education, one of the proofs of which can be seen from the purpose of the Prophet Muhammad SAW who was sent to this earth, namely to perfect morals.  
Kontrol Optimal pada Penyebaran Penyakit Campak Model SIR Samosir, Restika; Sihombing, Yosina Arni; Sumardi, Sitti Rosnafian; Hisyam, Muhammad
Transcendent Journal of Mathematics and Applications Vol 3, No 2 (2024)
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/tjoma.v3i2.42161

Abstract

The SIR model is a model used to group populations into 3 parts, namely susceptible or a subpopulation of individuals who are susceptible to disease, infected or a subpopulation of individuals who are infected and can transmit the disease and recovered or a subpopulation of individuals who have recovered from the disease. Measles is usually treated without a vaccine, so the disease is often found in the community. Giving the right and balanced vaccine will get results that are balanced with what is given. In this research, we develop a SIR model with additional controls. Where the control in this model is vaccination given to subpopulations S and I, so that the recovered subpopulation experiences an increase, because the number of subpopulation I decreases. The method used in this research consists of several steps, namely forming a SIR model which is formed in optimal control and determining the objective function. Next, solve the optimal control problem, which consists of several stages, namely forming the Hamiltonian function and finding states and co-states. Based on the research results, it is concluded that optimal control of the SIR model is obtained by state and co-state equations. Where this model is the result of reducing the Hamiltonian to obtain optimal control in the SIR model.
Training to Raise Awareness of Dadaman Coffee Coffee through My Google Business Pertiwi, Widya Nur Bhakti; Satyanegara, Diqbal; Fadhilah, Fadhilah; Hisyam, Muhammad
MOVE: Journal of Community Service and Engagement Vol. 4 No. 2 (2024): November 2024
Publisher : EQUATOR SINAR AKADEMIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54408/move.v4i2.398

Abstract

Karya Muda I Farmers Group, Ciomas District, Serang Regency, has a superior product of robusta coffee. The coffee has good quality, and has won a champion at the provincial level. However, currently, not many people know about the existence of Kopi Dadaman, Citaman Village. As an effort to increase public awareness of Kopi Dadaman, this community service activity was carried out by creating a business profile and also maps via Google. With this, it is hoped that Kopi Dadaman will appear on the Google search engine when potential consumers search. The community service method is carried out by conducting training, and also mentoring the Karya Muda Farmers Group, so that in the future they can manage Google Business independently. The results of the training are that Kopi Dadaman has a Business Profile and Maps on Google.
Factors Influencing the Decrease in Visitors to Mampie Beach Tourism, Galeso Village, Wonomulyo District, Polewali Mandar Regency Mandar Hasanuddin, Hasanuddin; Hisyam, Muhammad; Rasyid M Akib, Abd.; Nurwahid, Hidayat; Nabilawti, Hijrah
International Journal of Science, Technology & Management Vol. 6 No. 1 (2025): January 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i1.1273

Abstract

One of the tourist attractions, especially a very famous beach destination, is Mampie beach which is located in Gleso village, Wonomulyo district, Polewali Mandar district. The Mampie Beach Natural Tourism Area is located in Mampie Hamlet, Galeso Village, Wonomulyo District, Polewali Mandar Regency. This beach, which has a coastline of approximately 3 kilometers, can be reached by two-wheeled or four-wheeled vehicles with a travel time of approximately 30 minutes from Wonomulyo District, which is the trade center of Polewali Mandar Regency. This research was conducted to find out the factors that caused the decline in visitors at the Mampie beach location using qualitative methods by conducting observations, interviews and studying literature and websites on several sites which contain several photos and references from the golden age of this tourist location . The method used in this research is qualitative with observation, interviews and documentation with data analysis techniques: Data Reduction, Data display (Data Presentation) Conclusion Drawing Verification (drawing conclusions). The results of research include several factors that influence the decline in visitors to Mampie beach, namely coastal abrasion and natural disasters, earthquakes. Covid 19, services,Road access to the location, supporting facilities and conflicts of interest between managers and the community.
Effect of Appliance Slipping and Deep Breathing to Decreasing Pain Scale in Patients S, Armita; Hidayat, Rahmat; Safruddin, Safruddin; Hisyam, Muhammad
An Idea Nursing Journal Vol. 4 No. 01 (2025)
Publisher : PT.Mantaya Idea Batara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53690/inj.v4i01.472

Abstract

Fracture is one of the emergency cases in orthopedics which requires fast and precise management to avoid morbidity and mortality caused. Fracture management includes surgery to clean the crushed bones, perform internal and external fixation and connect the broken bones with special pins, plates, screws, or rods. After surgery, pain due to surgical incisions can be reduced. Method: This type of research is descriptive by establishing a case study method that can explore the problem of Nursing Care in patients with fractures. The results of this study indicate there was a decrease in the pain scale in fracture patients after splinting and deep breathing relaxation; this was shown by the pain scale in patients after the splint dressing and deep breathing relaxation was in the range of 3-7, and before the splint dressing and deep breathing relaxation was carried out it was in the range 6-9. This happens because applying a splint can reduce the movement of the bone or injured area so that it does not cause a painful sensation in the patient. So splint application and deep breathing relaxation have an effect on reducing the pain scale in fracture patients after being given pain management measures with splint application and deep breathing relaxation. Conclusion:Based on the results of the discussion of the results of the Implementation of nursing carried out on Mr. H with pain management, it can be concluded that there is an effect of splint installation and deep breathing relaxation. In the assessment at 12.30, the results obtained before deep breathing relaxation were obtained: the patient complained of pain with a pain scale of 8 (severe), respiratory rate of 24x /, pulse rate of 118x /, and after the splint installation and deep breathing relaxation were carried out, the patient said the pain was moderate with a pain scale of 6.Suggestion: It is expected that the family and patient handle problems experienced by patients by teaching deep breathing relaxation if pain occurs.
Leadership Style Overview of Inpatient Unit Leaders at a Military Hospital and a Government Hospital Rara, Abd Rahman; Nasrullah, Nasrullah; Suntin, Suntin; Hisyam, Muhammad; Mas, Haris Saputra
An Idea Nursing Journal Vol. 4 No. 01 (2025)
Publisher : PT.Mantaya Idea Batara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53690/inj.v4i01.492

Abstract

Background: Health is a fundamental human need that requires adequate support from healthcare facilities, including hospitals. The leadership of inpatient unit leaders plays a strategic role in influencing nursing performance and the quality of healthcare services. Military hospitals, characterized by a hierarchical structure and a workforce comprising both military personnel and civilians, differ fundamentally from government hospitals, which are primarily staffed by civilian healthcare professionals. This study aims to analyze the leadership styles of inpatient unit leaders at a Military Hospital (Level II Pelamonia Hospital) and a Government Hospital (RSUD Haji Makassar). Method: This study uses a quantitative approach with a descriptive cross-sectional research design. The sample consists of 98 respondents, equally distributed between Level II Pelamonia Hospital (49 respondents) and RSUD Haji Makassar (49 respondents). Data were analyzed using the chi-square test. Results: The chi-square test results indicate no significant difference in the leadership styles of inpatient unit leaders at Level II Pelamonia Hospital and RSUD Haji Makassar (? = 0.372, ? = 0.05). Therefore, the null hypothesis (H?) is accepted, and the alternative hypothesis (H?) is rejected. Conclusion: There is no statistically significant difference in the leadership styles of inpatient unit leaders at t
Analisis Perbandingan Kualitas Air Laut Teluk Youtefa dan Yos Sudarso, Jayapura, Papua: Comparative Analysis of Seawater Quality of Youtefa and Yos Sudarso Bay, Jayapura, Papua Sumardi, Sitti Rosnafi'an; Hisyam, Muhammad
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 16 No. 2 (2024): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v16i2.57191

Abstract

Youtefa Bay and Yos Sudarso Bay are bays located in Jayapura City. Yotefa Bay is a semi-closed coastal area because it is a small bay located in Yos Sudarso Bay. This condition makes the two bays have quite striking differences in sea dynamics. This is reinforced by the geographical location of the waters of Jayapura City which directly faces the Pacific Ocean which greatly affects the condition of the waters and the richness of its ecosystem. The richness of the coastal ecosystem in Youtefa Bay and Yos Sudarso Bay is closely related to the lives of the people living around the two bays. This study aims to analyze the comparison of seawater quality parameters in Youtefa Bay and Yos Sudarso Bay. The seawater quality data in question are temperature, salinity, and dissolved oxygen (DO) data. The study was conducted by taking temperature, salinity, and DO data in both bays at depths of 0 meters, 3 meters, and 5 meters. From these data, a comparative analysis will be carried out between sampling points to see the differences in values. In addition, an analysis of the average parameter differences between the two bays was also carried out. Based on the research results, each parameter has a fairly uniform distribution between each sampling point in each bay. The average temperature and DO values ​​in Youtefa Bay are higher than Yos Sudarso Bay because Yotefa Bay is a semi-enclosed water with many seagrass ecosystems in the bay. In addition, the average salinity value of Yos Sudarso Bay is higher than Youtefa Bay because Youtefa Bay receives direct input from the Pacific Ocean. Thus, based on the analysis, the temperature and salinity of the two bays show significant differences compared to the DO values ​​in the two bays.
Estimation of Rhizophora mucronata carbon stock in Youtefa bay, Jayapura, Papua Indrayani, Ervina; Kalor, John D; Hisyam, Muhammad; Waum, Ida
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan Vol 12, No 3 (2023): DECEMBER 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.3.31900

Abstract

Papua island has the largest mangrove forest area in Indonesia, reaching 1,350,600.00 Ha which accounts for half of the entire area of mangrove forests in Indonesia. One of the locations with a fairly extensive mangrove forest in the Jayapura area is in Youtefa Bay. Although mangroves have large environmental potential, local people use the forest as building materials, food, fishing tools, and medicines. Mangrove forests have an active role in maintaining global climate stability in the world, forest vegetation will fix CO2 through the process of photosynthesis. Mangrove forests per hectare can store up to four times more carbon than other tropical forests worldwide. This research aims to estimate the amount of carbon stock Rhizophora mucronata can store in mangrove forests in Youtefa Bay, particulary in Tobati, Enggros and Entrop Villages, Jayapura, Papua. The method used in this study was using Allometric Equations to estimate the biomass carbon from Rhizophora mucronata and compared to three different satellite imagery algorithms. The research results showed that the biomass of Rhizophora mucronata stands in Entrop Village was the highest and the lowest in Enggros Village. In addition, the results of measurements of carbon stocks in Tobati and Enggros Villages showed that the values were similar, only 0.23 kgC/m2 with carbon stocks in Entrop Village reaching 19.46 kgC/m2. Based on the results of measuring satellite imagery with three different algorithms, it was found that using the EVI algorithm produced the smallest Standard Error of Estimate, which was 1.63 kg C/m2. The estimated total carbon in Youtefa Bay is 213,424.69 kg C/m2.Keywords:AllometricCarbon StockRhizophora mucronataYoutefa Bay
Prediksi Suhu Permukaan Laut di Perairan Kota Jayapura Tahun 2021-2025 Menggunakan Model SARIMA Hisyam, Muhammad; Sumardi, Sitti Rosnafi'an; Kainama, Tamara Louraine Jeanette; Haryati, Kristina
ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua Vol 8 No 1 (2025): ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua Edisi Mei 2025
Publisher : Cenderawasih University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/acr.v8i1.4605

Abstract

Suhu permukaan laut (SPL) merupakan parameter oseanografi penting yang memengaruhi dinamika ekosistem laut dan iklim global, terutama di wilayah tropis. Perubahan SPL dapat berdampak signifikan terhadap curah hujan, distribusi biota laut, dan hasil tangkapan nelayan. Penelitian ini bertujuan untuk menganalisis dan memprediksi SPL di Teluk Yos Sudarso, Jayapura, menggunakan model Seasonal Autoregressive Integrated Moving Average (SARIMA). Data yang digunakan merupakan data suhu bulanan dari Januari 2005 hingga Desember 2021 yang diperoleh dari Copernicus Marine Service. Analisis dimulai dengan uji stasioneritas menggunakan Augmented Dickey Fuller (ADF), diikuti dengan identifikasi pola musiman melalui ACF dan PACF. Hasil menunjukkan bahwa data memiliki sifat stasioner musiman dan pola musiman tahunan. Model SARIMA (1,0,1)(1,1,1,12) terpilih sebagai model terbaik untuk memprediksi SPL dengan mempertimbangkan kenaikan suhu laut sebesar 0,16°C per dekade. Hasil prediksi menunjukkan pola musiman yang stabil hingga tahun 2025, dengan nilai galat MAPE sebesar 1,83% yang mengindikasikan tingkat akurasi yang sangat tinggi. Model ini mampu mengidentifikasi pola musiman dengan baik dan dapat digunakan sebagai alat bantu dalam pengambilan keputusan untuk pengelolaan sumber daya kelautan yang berkelanjutan.
Estimation of Rhizophora mucronata carbon stock in Youtefa bay, Jayapura, Papua Indrayani, Ervina; Kalor, John D; Hisyam, Muhammad; Waum, Ida
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan Vol 12, No 3 (2023): DECEMBER 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.3.31900

Abstract

Papua island has the largest mangrove forest area in Indonesia, reaching 1,350,600.00 Ha which accounts for half of the entire area of mangrove forests in Indonesia. One of the locations with a fairly extensive mangrove forest in the Jayapura area is in Youtefa Bay. Although mangroves have large environmental potential, local people use the forest as building materials, food, fishing tools, and medicines. Mangrove forests have an active role in maintaining global climate stability in the world, forest vegetation will fix CO2 through the process of photosynthesis. Mangrove forests per hectare can store up to four times more carbon than other tropical forests worldwide. This research aims to estimate the amount of carbon stock Rhizophora mucronata can store in mangrove forests in Youtefa Bay, particulary in Tobati, Enggros and Entrop Villages, Jayapura, Papua. The method used in this study was using Allometric Equations to estimate the biomass carbon from Rhizophora mucronata and compared to three different satellite imagery algorithms. The research results showed that the biomass of Rhizophora mucronata stands in Entrop Village was the highest and the lowest in Enggros Village. In addition, the results of measurements of carbon stocks in Tobati and Enggros Villages showed that the values were similar, only 0.23 kgC/m2 with carbon stocks in Entrop Village reaching 19.46 kgC/m2. Based on the results of measuring satellite imagery with three different algorithms, it was found that using the EVI algorithm produced the smallest Standard Error of Estimate, which was 1.63 kg C/m2. The estimated total carbon in Youtefa Bay is 213,424.69 kg C/m2.Keywords:AllometricCarbon StockRhizophora mucronataYoutefa Bay
Co-Authors Abdul Latif Abraham Abraham Aby Prayoga Afan, Yulianus Cia Agamawan, Lalu Panji I. Agus Kristiyanto Agus, Al Ihksan Agus, Al Ikhsan Agustin, Fitria Nina Ahmad Syahrizal Alauna Mizanul Abror Albida Rante Tasak, Albida Rante Alizan Satria Putra Amir, Haeril Anita Fibonacci, Anita Asmiddin, Ahmad Maulid Atmajaya, Onesimus Dhyas Dwi Azizah, Faradiva Husna Bangun, Kharida Br Baransano, Natan Bara’padang, Barnabas Barnabas Barapadang Basa T Rumahorbo Claudius Hendraman B. Tobi Dewantari, Nustin Merdiana Dimara, Makdalena Irpa Dodiman, Dodiman Ervina Indrayani Fadhilah Fadhilah Fahrul Razi Fidya Ayesha, Shifa Hanni Frans Augusthinus Asmuruf Gumilang, Wahyu Candra Handayani, Sri Haryati, Kristina Hasanuddin Hasanuddin Herlini Puspika Sari Herlini Puspita Sari Hutasoit, Jhonatan Rameldo Huwae, Jilian Risky Ibrah Safirah Ipick Setiawan Irawan, Raka Israwan, LM. Fajar Jalaali, Bahrul Jovanika Clarisa Permesti Kainama, Tamara Louraine Jeanette Kalor, John D Kardiyanto, Deddy Whinata Khariroh, Siti Nur Anisatul Lestari, Dita Anggun Liyatin Gea Lolita Tuhumena Lubna Nurlandari Mahrani, Nana Maklon Warpur Manalu, Khristhoper Aris Arianto Manalu, Kristhoper A. A. Mantayborbir, Vyona Mas, Haris Saputra Maulana, Dheva Yudhistira Miftah Miftah Misbach, Imam Muhammad Cahya Novarian Muhammad Dyan Akram Muhammad Ridwan Musakar, Rafika Dewitasari Kahar Mustika Endah Pratiwi N, Nasrullah Nabilawti, Hijrah Nada Pertiwi Papriani Nasrullah Nasrullah Nazifah Fitri Annisa Nurilfayati, Nurilfayati Nurwahid, Hidayat Nurwijayanti Oktavia, Ria Puspita Ayu Okto Dinaryanto Papriani, Nada Pertiwi Pattola Paulangan, Yunus Pajanjan Pertiwi, Widya Nur Bhakti Popi Ida Laila Ayer Prajnawita, Disny Prambudia, Yudha Puspikawati, Septa Indra Putri Hadi Utami Rahmat Hidayat Raihan Difari Ramadhan, Guntar Ramba, Fitria Yunia RARA, ABD RAHMAN Rasyid M Akib, Abd. Rejauw, Korinus Rhozan Firmansyah Rosyadi, Rosyadi Rumahorbo, Basa Tunggul Rumanasen, David Waranda S, Armita Samosir, Restika Satyanegara, Diqbal Sebayang, Susy Katikana Seroja, Taufik Shindy Dwita Nuansari Sihombing, Yosina Arni Sitti Rosnafi’an Sumardi Sri Pujiyati Suarni S. Sumardi, Sitti Rosnafi'an Sumardi, Sitti Rosnafian Suntin, Suntin Suswita Tangkelayuk, Herman Teguh Wibowo Tiara Verita Yastica Ula, Shofiatul Umbekna, Sara Wardani, Aisy Nur Waum, Ida Winda Ade Fitriya B Yenusi, Tien Nova B.