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INDONESIA
Jurnal Ilmiah Multidisiplin Ilmu
ISSN : 30472113     EISSN : 30472121     DOI : 10.69714
Core Subject : Education,
Jurnal Ilmiah Multidisiplin Ilmu (JIMI) dengan e-ISSN : 3047-2121, p-ISSN : 3047-2113, merupakan platform publikasi jurnal Karya suatu hasil penelitian orisinil atau tinjauan Pustaka yang ditulis oleh Dosen, mahasiswa dan atau Peneliti lainnya. Ruang lingkup karya yang diterbitkan mencakup Multidisiplin diantaranya yaitu: Ilmu Sosial Humaniora, Ilmu Hukum, Pertanian, Kesehatan, Peternakan, perikanan, Politik, Pendidikan, Ilmu Teknik, Teknik Elektro dan Informatika, Desain Komunikasi Visual, Manajemen, Ekonomi dan Akuntansi, Kewirausahaan dan Bisnis. Jurnal ini terbit 1 tahun 6 kali (Februari, April, Juni, Agustus, Oktober dan Desember)
Arjuna Subject : Umum - Umum
Articles 239 Documents
SEJARAH ISLAM PADA MASA DINASTI SYAFAWI DI PERSIA Harisseptian Harisseptian; Afrizal Afrizal; Syawaludin Syawaludin
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/51td9n33

Abstract

The Safavid kingdom originated from a Tarekat movement that was founded in Ardabil city in Azerbaijan. Before becoming a kingdom, the Safavids experience two phases of growth. The first phase of this dynasty was active in the religious field and the second as a political movement. In the history of the Safawi journey, progress has been achieved in various fields, including politics, economics, science and culture, military. In the early days, the Safavid kingdom was in the form of a theocratic government, the highest state officials were held by the shah's representatives, both in political and religious matters. The purpose of this article is to find out the history of the Safavid dynasty in Persia. The method used in this writing is a literature review, while the results of the panel research are: In other literature, Badri Yatim explains that the cause of the decline and destruction of the Safavid kingdom was the Shiite Safavid Kingdom was a direct threat to its territory. The conflict between the two kingdoms lasted a long time, although it stopped briefly when peace was achieved during the time of Shah Abbas I. 
MAKNA TEOLOGIS DAN EKSISTENSIAL DARI "SEBAB PADA HARI ENGKAU MEMAKANNYA, PASTILAH ENGKAU MATI": (KEJADIAN 2:17) Erick Hetharia Yohanes; Dicky Kancil
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/yyknc284

Abstract

This study analyzes the theological and existential meaning of God's warning in Genesis 2:17: "For on the day you eat of it, you shall surely die." This verse holds profound dimensions concerning the relationship between humanity, sin, and God. Theologically, this warning emphasizes the consequences of sin, which result in death—physical, spiritual, and eternal. Sin is understood as a violation of God's authority, disrupting the relationship between humanity and the Creator and causing separation from Him. Existentially, this verse reflects human freedom accompanied by moral responsibility, as well as the consequences of misusing free will, which lead to suffering and alienation. The death referred to in Genesis 2:17 is not merely the cessation of physical life but also the disruption of the spiritual connection between humanity and God. This study further highlights how this warning serves as a foundation for understanding the need for restoration through God’s redemptive work in Christ. In conclusion, Genesis 2:17 teaches the profound consequences of sin, the importance of obedience to God, and the hope for restored relationships through His grace.
TIKTOK SEBAGAI SUMBER INFORMASI PEMILIH PEMULA PADA PEMILIHAN KEPALA DAERAH (PILKADA) TAHUN 2024 Megi Primagara; Neni Yulianita
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/tc6fkf40

Abstract

Voters in the 17-21 age group in the 2024 Regional Head Elections (Pilkada) tend to use TikTok as a source of information. This is related to the presence of social media as new media. Dennis McQuail explains that new media is information and communication technology with a related social context that brings together three elements; technological tools and artifacts; activities, practices, and uses and the social order and organisation formed around these tools and practices. The research method uses a literature study with an emphasis on searching documents and online data. The results show that political communication elements consist of political actors, society, and political communication media. Political actors will utilise the media to spread messages to the public, including using TikTok. The selection of TikTok because it is a social media that presents short-duration visuals and is packed with interesting visual effects and music and the content is packed with easy language. With these features, the message of political actors delivered through TikTok can be more easily remembered by novice voters. So that it can help political actors to build public support and opinion.
PENGARUH GANGGUAN BAHASA TERHADAP KEMAMPUAN BICARA PADA ANAK GAGAP USIA 7-10 TAHUN Lutvi Qolbiyatu Zuhro NH; Miftahul Hasan; Vella Julia; Fisnia Pratami
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/tg4czg64

Abstract

The study analyzes developmental stuttering in children aged 7-10 years in elementary school. It uses a descriptive qualitative method through observation, audio recordings, and interviews. The findings show that stuttering is caused by anxiety, fear, and low self-confidence, especially in stressful situations. Support from family, teachers, a positive environment, and relaxed speaking practice effectively improve speech fluency. If stuttering persists, consulting a speech therapist or psycologist is highly recommended.
TERHAMBATNYA PEMEROLEHAN BAHASA PADA ANAK USIA 4-6 TAHUN Ahmad Aji Fashihudin; Devi Mariyani; Sindi Quratul Uyun; Mardiah Hayati
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/tk2g5925

Abstract

Parents should pay attention if their children experience delays in acquiring their first language. This phase functions as a provision so that a child can communicate well in his environment in the future. Therefore, there are several things that can become obstacles in children's language acquisition and must be given special attention. Based on these facts, this research aims to explain the factors that hinder the acquisition of a first language in children aged 4 to 6 years and describe the situation of these children. This research uses a qualitative descriptive method with three selected subjects. To improve data analysis, the method used in the research was the interview method conducted on the children's parents. The results of the research show that there are several factors that cause delays in children's language acquisition, based on a survey of 3 children that has been carried out, each factor has the following percentages 1) The use of gadgets is 66.7% of the 3 children, 2) The genetic factor is 33.3 % of 3 children, 3) The factor of lack of two-way interaction with parents and the environment around 100% of 3 children, 4) Then the factor of introducing foreign languages too early in children 66.7% of 3 children, and 5) The factor of ADHD sufferers 33.3% of 3 children. Based on these factors, parents must pay more attention and increase intensity in helping children communicate in their first language.
KLASIFIKASI SPESIES BUNGA IRIS MENGGUNAKAN ALGORITMA KLASIFIKASI KNN DI RAPIDMINER Zainur Rahman; Zaehol Fatah; Jarot Dwi Prasetyo
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/0syd5n74

Abstract

The classification of Iris flower species based on morphological features is a crucial challenge in biological research and data science. This study aims to address this issue using the K-Nearest Neighbor (KNN) algorithm, implemented via RapidMiner, to automate and enhance the accuracy of the classification process. Fisher's Iris Dataset, consisting of 150 samples across three species (Iris setosa, Iris versicolor, and Iris virginica), was utilized. The research followed the Knowledge Discovery in Database (KDD) methodology, involving data preprocessing, model training, and evaluation. The results showed that the KNN algorithm achieved 100% accuracy in classifying the dataset, validating the effectiveness of both the algorithm and the RapidMiner platform for data mining. These findings underline the potential of KNN as a reliable tool for similar classification tasks.
SISTEM INFORMASI INVENTARIS BARANG BERBASIS WEB PADA DINAS KOMUNIKASI DAN INFORMASI BONDOWOSO Lutfiana , Nurisma; Zaehol Fatah
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/p074a746

Abstract

The Web-Based Inventory Information System at the Bondowoso Communication and Information Service aims to improve efficiency and accuracy in asset management. In the context of government, effective inventory management is essential to ensure transparency and accountability in resource use. This study began with a needs analysis through interviews and surveys of users, which was then followed by system design using flowcharts and Data Flow Diagrams (DFD). The developed system integrates the process of inputting, maintaining, and reporting inventory, and provides a user-friendly interface. The software development methodology used is waterfall, which allows adjustments based on user feedback during the testing phase. The implementation results show that the system is able to reduce data errors, accelerate the decision-making process, and improve collaboration between departments within the service. Thus, this Web-Based Inventory Information System not only meets administrative needs but also contributes to better asset management at the Bondowoso Communication and Information Service. This study is expected to be a reference for other government agencies in implementing similar systems to improve the efficiency and transparency of inventory management.
IMPLEMENTASI RAPIDMINER PADA KLASTERISASI GEMPA BUMI DI INDONESIA BERDASARKAN KEDALAMAN MENGGUNAKAN K-MEANS Maruf Ubaidillah; Zaehol Fatah
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/w0m9zv32

Abstract

Indonesia is a meeting place for four major tectonic plates, namely the Carolina Plate, the Philippine Sea Plate, the Indo-Australian Plate, and the Eurasian Plate. Every year thousands of earthquakes strike, causing material losses, infrastructure damage, and even loss of life. Therefore, understanding the characteristics of earthquakes in Indonesia is a crucial step to mitigate disaster risks and improve community preparedness. The dataset used comes from the Kaggle.com website, the dataset is taken from the Earthquake Repository managed by BMKG. The K-Means algorithm is used as a clustering process method in this study. Clustering using K-Means aims to identify the dominant types of earthquakes that occur in regions of Indonesia. The application of this method to earthquakes that occurred in Indonesia based on the identified depth in cluster_0 shows the least earthquakes with the deepest earthquake type. Cluster_1 shows a shallow earthquake type. While cluster_2 is the earthquake with the most occurrences and shows an earthquake with a moderate depth.
KLASIFIKASI KUALITAS TEMBAKAU LAYAK PANEN DENGAN NAIVE BAYES CLASSIFIER DI DUSUN KAMPONG SITUBONDO Muhammad Yasin; Zaohol Fatah
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/3875vr77

Abstract

To classify the quality of tobacco that is suitable for harvest in Dusun Kampong using the Naive Bayes Classifier algorithm. Tobacco as a plantation commodity has high economic value, both in the domestic and international markets. This study uses a qualitative method with data collection through direct observation and interviews with local tobacco farmers and traders. The Naive Bayes algorithm is applied to predict harvest eligibility based on the attributes of height, leaf width, leaf length, and number of leaves. Testing is done manually and using the RapidMiner tool to produce accurate predictions. The results of the study show the effectiveness of the Naive Bayes algorithm in classifying tobacco quality.
PENERAPAN K-MEANS CLUSTERING UNTUK PENGELOMPOKAN WILAYAH BERDASARKAN TINGKAT KEMISKINAN DI INDONESIA Sagita Maesarah; Zaehol Fatah
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/3d5mkb02

Abstract

Poverty is one of the problems that hinder national and regional growth. Poverty is the inability to meet the minimum standards of basic needs including food and non-food needs. Poor people are people who are below a limit or called the poverty line. The resources used are sourced from www.kaggle.com. In the process of data processing with the k-means Clustering method. The K-means Clustering method is a method of grouping existing data into several groups where the data in one group has the same characteristics as each other and has different characteristics from the data in the group. The results of the study show that regions in Indonesia can be grouped into several clusters with different poverty level characteristics. These clusters reveal specific patterns, such as the concentration of areas with high poverty in certain areas and the factors that contribute to these conditions. With this approach, the government and policy makers can identify priority areas and design more effective programs to reduce poverty levels..

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