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Sistem Mitigasi Terintegrasi Tanggap Darurat Kebakaran Berbasis Internet of Things Mochammad Fadillah Putra; Sutisna; Firmansyah M S Nursuwars; Andri Ulus Rahayu
EPSILON: Journal of Electrical Engineering and Information Technology Vol 20 No 1 (2022): EPSILON: Journal of Electrical Engineering and Information Technology
Publisher : Department of Electrical Engineering, UNJANI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/epsilon.v20i1.80

Abstract

Fire is an event that most often effects both urban and rurals areas. This incident is very dangerous beacause it can cause loss and loss life. Ingeneral, these fire cannot be predicted when and where they will occur. The bigger the fire, the bigger the impact, to minimize the risk of fire, a tool is needed that can provide early fire information that can be monitored so that fires can be handled quickly. With the application of internet of things technology using an ESP32 board via internet network and assisted by fire sensors, gas sensors, and temperature sensors, they are able to detect potential fires early. The data displayed is in the form of fire status, gas leaks, and temperature monitoring So in this study, a tool is made that is able to make it easier to provide fire information with the average time needed for 15.81 seconds and the system is able to provide accurate location because the location set is the identity or address of each of the sensor devices. and gateways.
MEKANISME PEMILIHAN KEPALA NEGARA DALAM ISLAM DAN HUKUM POSITIF DI INDONESIA Sutisna
JURNAL ALAMIAH Vol 1 No 2 (2020): Juli 2020
Publisher : Institut Agama Islam Sahid Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (76.277 KB) | DOI: 10.56406/alamiahjurnalmuamalahdanekonomisyariah.v1i2.74

Abstract

The presence of a head of state in the life of the nation and state is a necessity, his presence is expected to be a protector for all citizens. Such is the urgency of a head of state, his presence has become a necessity for all human beings in their various communities. In Islam, the presence of the head of state is expected to be able to carry out the laws of Allah ta'ala and be a protector for all people. Meanwhile, the mechanism for electing the head of state in Indonesia is carried out by means of direct elections by the people to elect candidates for head of state directly. Prior to the direct election model, in Indonesia the head of state was elected by the House of Representatives. The DPR itself is elected by the people by means of a general election mechanism.This study shows that the mechanism model for selecting the head of state is in Islam and in Indonesia, there are some similarities in the election process, namely that the election of the head of state is carried out with the agreement of all citizens. They have the right to choose their head of state in the best possible way. If in Islam the election mechanism is not regulated directly, then in Indonesia it is regulated by Law no. 23 of 2003 concerning the election of president and vice president. The striking difference in this mechanism is that in Islam the election of the head of state is based on Islamic values ​​and must be in harmony with the existing regulations, while the general election in Indonesia is only based on democracy, namely power in the hands of the people.
Analisis konten syiar dakwah aqidah dalam akun instagram ustadz @syahronimardani Maulida, Nurul Azmi; Sutisna
KOMUNIKA Vol 7 No 1 (2023): JUNI
Publisher : Universitas Ibn Khaldun Bogor

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

Abstract

Media sosial menjadi salah satu wadah untuk penyebaran informasi, selain itu saat ini media sosial juga menjadi tempat untuk penyebaran dakwah islam yang sangat bermanfaat dan dapat mempengaruhi penggunanya, dengan perkembangan teknologi yang semakin canggih, siapapun bisa mengakses apa saja yang ingin diakses. Semakin banyak da’i yang menyebarkan dakwah melalui media sosial karena mudah untuk disebarluaskan, terutama pada media sosial instagram. Saat ini instagram banyak digunakan oleh generasi muda karena mepunyai banyak fasilitas untuk berbagi media seperti foto, video, audio. Pada penelitian ini membahas tentang analisis konten syiar dakwah aqidah dalam akun instagram ustadz @syahronimardani pada periode November – Desember 2021. Penelitian ini dilakukan untuk mengetahui isi pesan dakwah yang bertema aqidah yang meliputi tentang ketuhanan atau keyakinan atas ketentuan Allah. Metode yang digunakan dalam penelitian ini yaitu metode kualitatif dengan menggunakan analisis isi, metode ini dipakai untuk menjelaskan ataupun memahami tentang suatu permasalahan yang diteliti. Hasil penelitian didapati bahwa konten syiar dakwah yang disampaikan melalui video berdurasi singkat mempunyai sumber yang jelas yaitu dari Al-Qur’an dan sunnah. Bahasa yang digunakan untuk penyampaian dakwahnyapun memakai bahasa yang ringan, singkat, mudah dipahami dan diselisihi dengan humor yang diharap tidak membuat penonton menjadi jenuh. Adanya konten dakwah yang disampaikan melalui video singkat dalam instagram diharapkan bisa mempunyai nilai positif untuk masyarakat yang ingin belajar tentang keagamaan. Penelitian ini memiliki kendala saat melakukan wawancara karena wawancara dilakukan secara online sehingga saat peneliti memberikan petanyaan yang mirip dengan pertanyaan sebelumnya tapi memiliki makna berbeda, narasumber memberikan jawaban yang sama dan peneliti harus menjelaskan ulang pertanyaan agar jawaban yang diberikan tepat. Berdasarkan hasil penelitian perlu dilakukan upaya untuk mempertahankan kualitas penyebaran dakwah dengan berproses agar terus berkembang dan meningkatkan minat masyarakat untuk menonton konten dakwah.
Youtube sebagai media dakwah: Analisis semiotika animasi anak ‘adab sebelum ilmu' pada Youtube channel riko the series Aprilita, Ananda Laela; Lisnawati, Santi; Sutisna
KOMUNIKA Vol 7 No 1 (2023): JUNI
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/komunika.v7i1.7889

Abstract

Instagram is one of the popular social media because it displays a variety of interesting features that can be used by its users to preach. The method of preaching through Instagram has attracted a lot of attention from various circles, especially teenagers. One of the preachers who consistently preaches on Instagram is Ustadz Hilman Fauzi in his Instagram account, namely @ahilmanfauzi. This study aims to determine the relationship between the behavior of watching Instagram @ahilmanfauzi and the behavior of monotheism students of the 2018 Faculty of Islamic Religion, Ibn Khaldun University, Bogor. This study uses a quantitative approach with data collection techniques using a questionnaire. The population is 336 students, the sample calculation uses the Slovin formula and the results are 80 students. The data analysis technique used hypothesis testing. The results of this study are Ha is accepted because the correlation significance value is 0.000 <0.05 and the calculated R value is 0.590 > R table 0.220 so it can be said that there is a positive relationship, meaning that the increasing viewing behavior will increase the monotheistic behavior of students of the Islamic religious faculty. 2018 Ibn Khaldun University Bogor. The limitation in this study lies in that there are still many students who know but do not follow the @ahilmanfauzi Instagram account so that researchers have difficulty in finding respondents. The results of this study are used as input for students to watch something positive which will result in positive behavior.
Rancang Bangun Aplikasi Absensi Karyawan menggunakan QR-Code Berbasis Web pada SMA Candra Naya Sutisna; Akbarulloh, Fery; Wahyudi, Ahmad Arif; Banase, Samuel Figo; Simarmata, Nuary Inaldy
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.286

Abstract

This research discusses the development of a web-based employee attendance application using the waterfall method at SMA Candra Naya. The waterfall method was chosen due to its organized structure, starting from requirement analysis to maintenance. The stages involved include requirement analysis, design, implementation, testing, and maintenance. The application utilizes QR-code technology as a unique identification tool for employees, enabling efficient and accurate attendance processes. Evaluation was conducted through internal testing at SMA Candra Naya to assess the performance and reliability of the application. The evaluation results indicate that the application successfully enhances the efficiency of attendance administration and simplifies employee attendance management. The primary contribution of this research is the application of the waterfall method as a systematic approach in developing web-based applications for employee attendance management, which can be adopted by educational institutions and similar organizations to improve the efficiency and accuracy of attendance processes.
The Application of Uṣūl al-Fiqh (Principles of Islamic Jurisprudence) in Sharia Economics: Theoretical Review Sutisna; Suci Purwati; Sitty Komalla
Journal of Economicate Studies Vol. 7 No. 2 (2023): Journal of Economicate Studies
Publisher : Islamicate Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32506/joes.v7i2.851

Abstract

This theoretical study delves into the foundational concepts of Uṣūl al-Fiqh and their role as the theoretical framework underpinning Sharia economic principles. Through a qualitative approach involving a literature review, this study conducts an in-depth examination of these principles to foster the development of a Sharia economy characterized by inclusivity, fairness, and sustainability. This research advances Sharia economics rooted in Islamic values by offering more effective solutions to existing challenges. Furthermore, building upon this theoretical foundation, the study explores practical applications of Sharia economic principles, envisioning tangible solutions to real-world economic issues. By integrating insights from the theoretical inquiry into economic policies and practices, it becomes feasible to cultivate economic systems that adhere to Islamic values and promote equitable growth and societal well-being. In summary, this theoretical exploration catalyzes the development of a dynamic and progressive Sharia economy that aligns with Islamic ethics and contemporary economic realities.
Implementasi Data Mining Klasifikasi Fuel Surcharge Menggunakan Algoritma Naive Bayes Studi Kasus PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok Baidowi, Ahmad; Sutisna
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.960

Abstract

In the application of fuel surcharge in PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok, it is necessary to display data that can help become the basis for the imposition of fuel surcharge from data on the movement of pilot vessels / tugboats which is the basis for the imposition of fuel surcharge in PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok, this research was conducted to help provide information to workers, Kesyahbandaran Otoritas Pelabuhan Utama and ship service users or shipping agents in more detail related to the imposition of fuel surcharge in the PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok environment, using data mining methods in fuel surcharge peneran as a consideration to make it easier to understand, easier to see and easier to operate. With this data mining method, it will help the company to become an important data and facilitate workers in the data collection section related to fuel surcharge in which there is a recap of the number of ship movements, the number of notes, the strength of groos tons (GT), house power (HP) of the ship and payment status. The use of data mining methods is expected to be a solution for workers in data collection and become a history of fuel surcharge collection within PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok.
Implementasi Data Mining Klasifikasi Gejala Penyakit TB Menggunakan Algoritma Naive Bayes pada Studi Kasus Puskesmas Pegangsaan Dua B Fahmi, Hakon; Sutisna
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.970

Abstract

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. The bacteria can enter the lungs, causing the patient to experience shortness of breath and chronic coughing. The infection process in TB progresses through three main stages: primary infection, latent infection, and active infection. During the primary infection stage, the bacteria enter the lungs through inhaled air. If the immune system successfully controls the bacteria, the infection becomes latent, where the bacteria remain inactive and cause no symptoms. However, if the immune system fails, the infection becomes active, and the bacteria attack healthy lung cells, leading to severe symptoms. Tuberculosis remains a major cause of global morbidity and mortality. According to the 2022 WHO report, Indonesia ranks second in the world with an estimated 969,000 TB cases, or 354 per 100,000 people, and a mortality rate of 144,000, or 52 per 100,000 people. This study aims to improve the accuracy of TB diagnosis through the application of the Naive Bayes algorithm, applied to patient data from the Pegangsaan Dua B Community Health Center. The dataset includes 1,527 training data and 1,029 testing data, covering attributes such as patient name, gender, age, identification number, registration date, address, diagnosis status, and diagnosis results. The results indicate that the Naive Bayes algorithm achieved an accuracy of 99.71%, showing its potential for early and accurate TB diagnosis prediction.
Penerapan Data Mining untuk Menentukan Ketersediaan Stok Barang Berdasarkan Permintaan Konsumen di PT Indonesia Thai Summit Plastech Menggunakan K-Means Clustering Azis, Abd; Sutisna
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.982

Abstract

Inventory is one of the important things for companies because most of the company's activities are embedded in inventory, with various kinds of problems that exist internally and externally, between employees and superiors and between the company and customers, one of which is inventory problems. So, by having a company's inventory that is stable and in line with customer needs, it will be able to prevent problems between the company and its customers and maintain the company's survival. From the results of research carried out in checking stock availability at PT Indonesia Thai Summit Plastech, basically it is still manual, there is no system that can provide and make things easier for the company or warehouse department. With the problems mentioned above, a system is needed that is able to make it easier and provide information to the company or warehouse quickly. The results of this research produce an output in the form of stock availability patterns, stock accuracy or inventory by applying data mining using the k means clustering method.
Analisis Sentimen Terhadap Kendaraan Listrik di Indonesia Menggunakan Metode Klasifikasi Naïve Bayes Farhani, Aulia; Sutisna
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.983

Abstract

Indonesians' awareness of environmental issues and carbon emission reduction is driving interest in electric vehicles as eco-friendly transportation. The Indonesian government supports the transition from conventional vehicles to electric vehicles to reduce carbon and greenhouse gas emissions, as seen by the significant increase in the use of electric vehicles from 2021 to 2023. Ministry of Industry data shows this increase, supported by Presidential Regulation No. 79 of 2023. While electric vehicles offer benefits such as zero emissions and high efficiency, challenges such as limited charging infrastructure still exist. Public response is mixed, influenced by environmental awareness, government incentives, and technology. To understand public sentiment, this study uses sentiment analysis from social media X (Twitter) with the Naïve Bayes method. The test results show an accuracy of 84.13%, with a recall of 92.70% positive sentiment and 50.00% negative sentiment. Precision of positive sentiment reaches 88.06%, while negative sentiment is 63.27%. With a total of 2,468 datasets, 2,198 data were predicted as positive sentiment and 298 as negative sentiment. This research aims to provide an understanding of public sentiment towards electric vehicles, helping the government and the automotive industry in designing policies and promotions.