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Jurnal Ilmiah Multidisiplin Ilmu
Published by CV. Denasya Smart Publisher
ISSN : 30472113     EISSN : 30472121     DOI : 10.69714
Core Subject : Education,
Other
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
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IMPLEMENTASI KELULUSAN MAHASISWA BERDASARKAN DATA NILAI AKADEMIK MENGGUNAKAN ALGORITMA DECISION TREE Wildatul Hasanah; 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: 10.69714/9hx6fa37

Abstract

Predicting student graduation is one of the important things in managing education in higher education. By using academic score data such as course grades and Grade Point Average (GPA),Can predict student graduation more efficiently. This article implements the Decision Tree algorithm to predict student graduation based on their academic score data. The Decision Tree algorithm has proven to be effective in making predictions based on existing attributes. The research results show that this model has good accuracy in predicting student graduation status.
ALLAH TIDAK MENCOBAI “YAKOBUS 1:13” Asih Purwani; Dicky Kansil
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: 10.69714/4h9mfp18

Abstract

The Christian faith believes that trials do not come from GOD. Of course everyone has experienced trials. The trials and tribulations that humans face can make them doubt the existence of God in their lives. James reminds us that humans cannot throw all responsibility for the suffering they experience on God; Although there is indeed suffering that is a test of faith from God, not all human suffering is a test of faith. Some of the suffering experienced by humans is due to their own fault; because humans follow the wrong path and as a result humans have to bear the consequences of their mistakes. James asserts that God cannot be tempted by evil men; in other words, only evil/sinful people test God. Who is such a person? We can see a real example of people like this in the book of Genesis, how Adam and Eve disobeyed God's command. So James says this comes from humans themselves, from sinful desires that are rooted in humans as sinners. It is this sinful desire that drags humans and deceives/deceives humans. Often people misunderstand the difference between trials and tests. From the results, people will usually understand that trials bring death but trials bring growth in faith.
JIKA SENGAJA BERBUAT DOSA MAKA TIDAK ADA KORBAN UNTUK MENGHAPUS DOSA ITU “IBRANI 10 : 26”: (Sebab jika kita sengaja berbuat dosa sesudah memperoleh pengetahuan tentang kebenaran, maka tidak ada lagi korban untuk menghapus dosa itu) Tuti Christin; Decky Kansil
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/j86y8f48

Abstract

The purpose of this study is to conduct a review of biblical theology about If we intentionally sin, after having received knowledge of the truth, then there is no more sacrifice to take away the sins Hebrews 10:26. In today's era, sin and evil have increasingly blinded the conscience of humans, both in all circles, there are small children who already know that lying is a sin but still do it without feeling guilty and it is not only done by small children, even adults who are diligent in worship also do so is a common thing and considered normal, sin and evil that are increasingly viewed lightly by all levels of humanity make the verses of God's Word must be increasingly proclaimed and reminded to all levels of humanity, a concrete example in responding to sin is a group of LGBT who consider that they have human rights and fight for their rights as LGBT must be recognized and protected by law, this does not only happen in foreign countries but in Indonesia it is also growing and spreading. In the view of certain people that Sin is killing, stealing, corruption, lying and committing immoral acts while LGBT is an act based on mutual consent and willingness then this is considered not a violation and not something that harms the opponent so it is not a sin because if the partner willingly wants to do the same thought it means no one is harmed so it is not a sin but a human right that must be defended and protected by law. This is very interesting and needs to be explained whether the act of viewing sin with this wrong view will result in a sin that will not be forgiven again if we refer to the book of Hebrews 10:26 "For if we sin willfully after having received the knowledge of the truth, there no longer remains a sacrifice for sins".
PENERAPAN DATA MINING DENGAN ALGORITMA NAÏVE BAYES UNTUK ANALISIS KEBUTUHAN STOK OBAT DI KLINIK IDAMAN AS'ADIYAH SUKOREJO Muchammad Atfal Nur Afil; Zaehol Fatah
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 5 (2024): Oktober : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/fsgkh354

Abstract

Medicine stocks that are not well managed can cause shortages or excess stocks which have an impact on health services in clinics. This research aims to apply the Naïve Bayes algorithm to analyze drug stock needs at the Idaman As'adiyah Sukorejo Clinic. By using historical data on drug sales and monthly demand for one year, the Naïve Bayes algorithm is used to predict the type of drug that will be needed in the following month. The research results show that this algorithm is able to predict drug stock needs with an accuracy of up to 85%, which can help clinic managers plan the purchase and distribution of drugs more efficiently.
ANALISIS KECANDUAN SMARTPHONE PADA MAHASISWA MENGGUNAKAN METODE K-NEARST NEIGHBORS (K-NN) Ivana Dwikartika Sari; Zaehol Fatah
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 5 (2024): Oktober : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/623bk437

Abstract

Smartphone are a tecnology that is widely used among teenagers. Smartphone have a negative impact on teenagers, one of which is that amsrtphone addiction can interfere with various activities in teenagers’ real lives.this writing aims to understand and describe various aspects including health aspects, psychological aspects, academic aspects, social aspects and financial aspects. Classification is carried out to support decision making regarding smartphone addiction problems. K-Nearest Neighbors (KNN) is a machine learning classification method used in this research. The research results show that the best method for classifying smartphone addiction is KNN with attribute selection using Linear Regression based on weight correlation.
MENINJAU EFEKTIVITAS KERANGKA HUKUM DALAM MENANGANI KEKERASAN TERHADAP ANAK DAN PEREMPUAN DI INDONESIA Ade Arga Wahyudi
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 5 (2024): Oktober : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/mkjdxn66

Abstract

Violence against children and women in Indonesia is a serious problem that reflects weaknesses in the legal protection system. Various social factors such as poverty, low education, patriarchal culture, gender inequality, and early marriage exacerbate the situation. This phenomenon demands deep reforms in policy and law enforcement to ensure protection and justice for victims. This research aims to analyze the effectiveness of the legal protection system for children and women in Indonesia, highlighting policy gaps, structural barriers, and the impact on victims. The research uses a normative-empirical method with a descriptive-qualitative approach. Data was collected through a literature review of laws and regulations, as well as analysis of other legal and non-legal documents. The results identified eight main obstacles in law enforcement, including suboptimal implementation of additional punishment, stereotyping, victim blaming, revictimization, and difficulties in presenting evidence at trial. Punishments that are still oriented towards imprisoning perpetrators and the lack of understanding of power relations among legal officers add to the complexity of the problem. In addition, victims often do not report their cases due to lack of legal support and the risk of psychological impact is not considered. Legal reform is needed to create responsive and humane protection. Improve training of law enforcement officers, provide one-stop service centers for victims, expand public awareness campaigns, and increase budget allocations to support more effective policy implementation.
KLASTERISASI PENDIDIKAN SD UNTUK MENGETAHUI DAERAH DENGAN PENDIDIKAN TERENDAH MENGGUNAKAN ALGORITMA K-MEANS Kevin Riyas Robbani; Zaehol Fatah
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 5 (2024): Oktober : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/jgmf7903

Abstract

Elementary education serves as the foundational stage in efforts to improve the overall quality of education in Indonesia. Identifying regions with the lowest levels of elementary education is essential for effectively targeting initiatives to enhance education quality. The K-Means clustering algorithm is employed to group regions based on specific indicators, such as the number of students, dropout rates, classrooms, teaching staff, school principals, and others. The objective of this method is to identify regions with the lowest levels of elementary education by pinpointing clusters of areas that require the most support and development. K-Means clustering operates by dividing data into several clusters based on the similarity of feature patterns. This process facilitates the identification of regional groups with varying priorities for support and development. The clustering analysis results reveal that from 39 datasets related to elementary education across various regions in Indonesia, three clusters were formed. Cluster 0 consists of 34 data points, Cluster 1 contains only 1 data point, and Cluster 2 comprises 4 data points.
IMPLEMENTASI ALGORITMA CLUSTERING K-MEANS PADA PENGGUNA WARTEL DI PONDOK PESANTREN SALAFIYAH SYAFI'IYAH SUKOREJO Irfansyah, Khairullah; Zaehol Fatah
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 5 (2024): Oktober : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/55xet429

Abstract

This research discusses the application of the K-Means Clustering algorithm to analyze the usage patterns of wartel services at the Salafiyah Syafi'iyah Sukorejo Islamic Boarding School. The purpose of this research is to group users into several clusters based on call duration, frequency of use, and total call cost. User data was analyzed using the stages in the SEMMA method (Sample, Explore, Modify, Model, Assess) to ensure systematic and structured data processing. The results showed that the K-Means algorithm was able to form three main clusters, namely users with low, medium, and high intensity. The majority of users belong to the low-intensity cluster with short average call duration and minimal expenditure, while the high-intensity cluster consists of users who make long calls with high costs. Further analysis shows that the highest usage time is at night (19.00-21.00). Based on these results, it is recommended that wartel managers optimize operating hours and provide promotional call packages according to the needs of each user cluster. In addition, diversification of services such as cheap internet access can also increase the attractiveness of wartel in the digital era. This research uses clustering methods to assist data-based strategic decision-making, as outlined by Han and supported by the application of SEMMA from SAS Institute (1998).
ANALISIS REDUPLIKASI PADA CERPEN KITA GENDONG BERGANTIAN KARYA BUDI DARMA Ahmad Aji Fashihudin; Devi Mariyani; Sindi Quratul Uyun
Jurnal Ilmiah Multidisiplin Ilmu Vol. 1 No. 5 (2024): Oktober : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/v09vxr15

Abstract

The repetition of words or word elements is called reduplication. This reduplication process is often seen in short stories. The purpose of this research is to study and explain various types of reduplication in the short story Kita Gendong Bergantian by Budi Darma. This research uses descriptive qualitative research. In this study, the data is grouped by literature research. The literature study process consists of: Data identification, which is a collection of reduplication data, then data classification, which is the presentation of data in the form of reduplication, namely complete repetition (Dwilingga), changing sound (Dwilingga copying sound), partial repetition (Dwipurwa), additive repetition, reduplication of separators (Dwimakna) and Data analysis, which is interpretation and drawing conclusions. Studies show that there are five types of reduplication. In the short story Kita Gendong Bergantian by Budi Darma, which consists of (1) full reduplication, 16 findings were found, (2) One reduplication changed the sound was found, (3) partial reduplication was found 3 findings, (4) reduplication was found as many as many as 17 findings, and (5) reduplication of the order or meaning was found as 2 findings. Of the five types of reduplication found, reduplication is the most common with the largest number.
MENGEMBANGKAN KEWIRAUSAHAAN SOSIAL BERBASIS LINGKUNGAN UNTUK PEMBERDAYAAN KELUARGA MELALUI PENDIDIKAN PAUD Desi Wulandari; Lili fauziah
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/ynsctz15

Abstract

Early Childhood Education (PAUD) has a crucial role in shaping children's character and basic knowledge, including in terms of environmental awareness. On the other hand, many families in Indonesia are facing economic challenges that require intervention to improve their well-being. This research aims to develop environment-based social entrepreneurship as a tool for family empowerment through early childhood education. Environment-based social entrepreneurship not only aims to create profitable businesses, but also to support the sustainability of nature, thus having a positive impact on both the family economy and environmental conservation. Through literature research, it was found that the integration of social entrepreneurship with early childhood education can provide dual benefits: increasing environmental awareness in children and empowering parents with eco-friendly entrepreneurial skills that can increase family income. Collaboration between educational institutions, the government, and the community is also considered very important to ensure the successful implementation of this program.

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